JP2755782B2 - Rolling line diagnostic system - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION (Industrial application field) The present invention is based on a knowledge base that functionally combines equipment diagnosis and operation diagnosis in a hot rolling facility or a cold rolling facility and analyzes the logical diagnosis. The present invention relates to a system for comprehensively diagnosing operation-equipment abnormality in the rolling equipment.

(Prior Art) In general, a conventional method for stabilizing rolling is, for example, in a cold rolling mill, a representative value (instantaneous value, average value, etc.) of process data and the like in a coil is collected and stored for each output coil. , Perform data analysis as necessary, or temporarily attach sensors etc. when abnormalities occur and collect data,
Data collection and analysis methods such as post-mortem analysis are mainly used. Diagnosis of normality / abnormality in rolling phenomenon facility inspection largely depends on empirical judgment of an operator or facility maintenance staff.

In such conventional methods, it is difficult to respond quickly and appropriately to abnormal conditions. It is difficult to grasp all data and micro-compare data.
Difficult to make comprehensive judgment Experts in equipment operation are required for each department There were problems such as difficulty in implementing cause analysis measures for abnormalities that occur chronically, suddenly, or in the long term.

Recently, computer introduction and minor automatic control technology have been adopted. That is, on the rolling equipment side, individual equipment diagnosing techniques, such as gear abnormality diagnosis and vibration diagnosis, have been developed, and these have also been introduced into the rolling equipment to achieve a certain effect.

As a diagnostic method applicable to a rolling mill, for example, Japanese Patent Publication No. Sho 61-42300, “Materials and Processes”, VOL.
2, No. 2,475P (1989). However, these conventional diagnostic methods only perform a diagnosis for a specific specification that has been set in advance for equipment to function, and at most a rolling operation (process) for a rolling operation (process). It is only an analysis of the thickness data of the material, and does not have a diagnostic system in which rolling equipment and operations are functionally connected.

For this reason, a diagnosis that comprehensively judges the equipment and the operation state in the rolling cannot be obtained, and it is impossible to accurately predict how the apparent problem will affect the subsequent rolling operation.

(Problems to be Solved by the Invention) The present invention provides an operation diagnosis on strip thickness accuracy and a shape accuracy of a hot rolling facility or a cold rolling facility, and a facility diagnosis on a drive system and an electric system of a rolling facility. In addition, when abnormalities are detected in these diagnoses,
Based on a knowledge base functionally combining the equipment diagnosis and operation diagnosis accumulated in advance, the operation of the rolling equipment for estimating the cause of the abnormality and obtaining appropriate action guidance is comprehensively performed. A diagnostic system is provided.

(Means for Solving the Problems) In order to achieve the above object, the present invention has the following constitutions as the gist. (1) The rolling mill is provided with an operation sensor for detecting operation information such as a thickness of a product and a material being rolled, and an equipment sensor for detecting equipment information such as equipment failure and operating characteristics. A signal processing unit for performing a primary signal processing of an output of a sensor and an output of the equipment sensor; and an operation for diagnosing an operation state by inputting an output of the operation sensor or an output related to the operation sensor from the signal processing unit. A diagnostic unit, an output of the equipment sensor or an output related to the equipment sensor from the signal processing unit, and an equipment diagnosis unit for diagnosing equipment status; and a primary diagnosis performed by the operation diagnosis unit and the equipment diagnosis unit. Command, input the result of the primary diagnosis, and, if necessary, instruct one or both of the operation diagnosis unit and the equipment diagnosis unit to perform a secondary diagnosis, and perform the secondary diagnosis. And a comprehensive diagnosis unit for identifying an abnormal condition of the rolling mill and determining an abnormal cause based on the result of the primary diagnosis and the result of the secondary diagnosis input as necessary. Rolling line comprehensive diagnostic system.

(2) The comprehensive diagnosis system for a rolling line according to claim 1, wherein an action selection function is added to the comprehensive diagnosis unit, and the action selection function has a function of outputting guidance to an operator.

(3) An action selection function is added to the comprehensive diagnosis unit, and the action selection function has a function of outputting guidance to a control unit of the rolling mill.
A comprehensive diagnostic system for the rolling line described.

(4) The comprehensive diagnosis system for a rolling line according to (1), wherein the comprehensive diagnosis unit has a function of handling input data performed by the operator based on the guidance output as data of a logical operation. .

(Operation) Hereinafter, the present invention will be specifically described based on embodiments shown in the drawings.

First, the diagnosis target in the present invention is the operation relationship such as plate thickness, shape, lubrication, surface flaws, plate breakage relationship, and the like, and the equipment relationship is divided into groups such as drive system, hydraulic system, lubrication system, and electric system. It is desirable to do. Of course, other components can also be included as targets if necessary, and a number of sensors are arranged in the rolling mill and other related equipment according to each.

In addition, the comprehensive diagnosis of the rolling mill has a considerable effect even if it is based on the primary diagnosis related to the operation or only based on the primary diagnosis related to the equipment. However, a more accurate diagnosis result can be obtained by combining the two and making a comprehensive diagnosis.

That is, a primary diagnosis (abnormality diagnosis) is performed separately for the operation relation and the equipment relation, and when there is an abnormality in one of the results, based on the causal relation between the operation and the equipment, the other diagnosis (the primary diagnosis is performed). A secondary diagnosis is made for the corresponding items in the case of operation-related equipment.

In addition, some of the primary diagnoses are effective to make a two-stage diagnosis. For example, in the case of an operation-related thickness accuracy diagnosis, in the primary diagnosis, an abnormality of the thickness accuracy (gauge) is monitored in the first stage, and if there is an abnormality in the monitoring, the second stage is performed in the second stage. This is the case when a diagnosis for identifying the cause of the abnormality is performed. In particular, when there are 4 to 7 stands such as a tandem rolling mill, the two-stage diagnosis method is indispensable. This is because the target process is complicated, and high-speed diagnosis is required for online and real-time processing. Similarly, two-stage diagnosis (simple diagnosis-precision diagnosis) should be adopted for equipment.

Abnormality monitoring is performed, and the final diagnosis for the diagnosis that is determined to have an abnormality in the item corresponding to the monitoring result is determined in consideration of the primary diagnosis result and the secondary diagnosis result, and the causal relationship between the operation and the equipment of the rolling mill. The action (response) to be performed and obtained is determined according to the final diagnosis result.

 Hereinafter, the present invention will be described in detail with reference to the drawings.

In FIG. 1, reference numeral 1 denotes various operation sensors which are installed at various places of the rolling mill and detect operation information of the rolling mill, and 2 denotes various equipment sensors which detect equipment information of the rolling mill. The operation sensor 1 detects operation information such as the sheet thickness, shape, lubrication, surface flaws, and sheet fracture of the material during and after rolling (product). The equipment sensor 2 detects equipment information such as a drive system, a hydraulic system, a lubrication system, and an electric system of the rolling mill.

Reference numeral 3 denotes a signal processing unit for performing primary signal processing for removing noise and the like among output signals from the operation sensor 1 and the facility sensor 2, and 4 denotes an output signal from the signal processing unit 3 relating to the operation sensor 1 or a signal. An operation diagnostic unit for diagnosing the operation state of the rolling mill by inputting a direct output signal from the operation sensor 1 that does not pass through the processing unit 3, and an output signal 5 from the signal processing unit 3 relating to the equipment sensor 2 or equipment. The equipment diagnosis unit diagnoses the equipment status of the rolling mill by inputting a direct signal that does not pass through the signal processing unit 3 among the output signals of the sensor 2.

Numeral 6 instructs the operation diagnosis unit 4 and the equipment diagnosis unit 5 to perform various primary diagnoses (abnormality diagnosis). If the result indicates an abnormality, the operation diagnosis unit 4 and the equipment diagnosis unit 5 perform secondary diagnosis as necessary. (That is, having a diagnostic function for instructing). Then, based on the primary diagnosis result and the secondary diagnosis result, identification of an abnormal situation, final determination of an abnormal cause, and action guidance for the abnormal situation are provided. It is a comprehensive diagnosis unit that determines what to obtain, that is, the response.

Reference numeral 7 denotes a display output unit for displaying an abnormal condition diagnosed by the comprehensive diagnosis unit 6 in an operator's cab in each place, a maintenance room in each place, and the like.

The comprehensive diagnosis unit 6 has a function of obtaining the above-mentioned action guidance (this is called an action selection function). And a function of outputting guidance to an operator or a control unit of a rolling mill. For example, line speed
In the case of an action of lowering by 10%, a 10% deceleration command is output as guidance to the speed control unit of the rolling mill as an operation amount, and is displayed on the display output unit of the operator's cab of each place and the maintenance room of each place and displayed to the operator etc. Output guidance.

The operation diagnosis unit 4 has a diagnosis unit 41, in which an abnormality monitoring unit 42 is a main component.However, depending on the arrangement of the measuring instruments, primary determination such as identification of an abnormal stand may be easily performed. Therefore, it is an efficient configuration to use the primary judgment means 43 together.

The diagnosis means 51 of the equipment diagnosis section 5 includes a simple diagnosis means 52 for performing abnormality monitoring and a precision diagnosis means 53 for performing precise diagnosis.
It is desirable to be composed of

In the system of the present invention, as a method of further systematizing the causal relationship between operation and equipment in a rolling mill, there is also a method of providing a creation unit 8 and a batch diagnosis unit 9.

That is, the abnormal data determined to be abnormal by the comprehensive diagnosis unit 6 is input to the creating unit 8, the abnormal data is analyzed, the analysis result is learned, and the systematization of the causal relationship is reconstructed (advanced). . And primary judgment means as cause identification means
If some of the diagnoses of the 43 and the precise diagnostic means 53 are not enough in online / real time, a batch diagnostic unit 9 is provided, and the abnormal data in the comprehensive diagnostic unit 6 is inputted offline, Diagnosis can be made.

The diagnostic means of the operation diagnostic unit 4 and the equipment diagnostic unit 5 generally has a diagnostic function of making an abnormality when a signal level exceeds an allowable value, and a function of diagnosing a time series fluctuation tendency is added to the diagnostic function. As a result, the future situation can be foreseen, sufficient measures can be taken, and maintenance efficiency can be improved.

It is also useful that the display output unit 7 allows an operator or a maintenance person to display output signals of various sensors and details of abnormal data as required.

The hardware for realizing each of the units 1 to 9 includes:
Various sensors such as a sheet speed meter, a sheet thickness gauge, and a thermometer are used as the operation sensor 1, and a vibration sensor and a hydraulic sensor are used as the equipment sensor 2, respectively. The signal processing unit 3 can also perform program processing. However, it is desirable to configure by hardware operation in that signal processing is performed in real time.

The operation diagnosis unit 4 and the equipment diagnosis unit 5 are constructed by an analog circuit or a digital circuit, or computer program processing, or a combination of both. The general diagnosis unit 6 is generally configured by a control computer program processing. However, in view of the fact that the systematization of the causal relationship between operation and equipment is complicated and constantly advanced, it is most desirable to construct the system using an expert system.

The display output unit 7 includes a display device such as a CRT or a printer and a process input / output device (PI / O). The creation unit 8 is a computer, and the batch diagnosis unit 9 has functions of an analysis device and an expert system. It is constructed on a workstation computer or the like.

The diagnostic work of the system of the present invention configured as described above includes:
Normally, the rolling operation is performed continuously or at a predetermined interval, and may be performed as needed even during the rolling preparation state, and may also be performed at the time of a request from an operator or a maintenance person.

 Hereinafter, examples of the present invention will be described.

(Embodiment 1) An embodiment of the system of the present invention will be described below with reference to FIGS.
This will be described with reference to the drawings. FIG. 2 is an example of a rolling mill operation-equipment comprehensive diagnosis system of the present invention. In the figure, reference numeral 1 denotes operation sensors such as a thickness gauge, a sheet thermometer, a sheet tension meter, and a rolling load meter, each of which is installed at a predetermined position in a rolling mill process. Reference numeral 2 denotes equipment sensors such as a vibrometer, an oil pressure gauge, and a thermometer which are similarly installed at various points in the rolling mill process. Reference numeral 13 denotes a device which performs high-speed signal processing as a part of the signal processing unit 3. And operation sensor 1
Also, of the output signals of the equipment sensor 2, only those requiring signal processing are input, and the output signals are connected to a network (NET WORK). Other output signals of the operation sensor 1 and the facility sensor 2 are connected to a network (NET WORK) via a process input / output device 11 having a digital signal processing function by a program.

In the process signal processor control group E, a plurality of process microcomputers and programmable controllers 12 are installed in a plurality of units, each of which is connected to a network.

In the operation / display device group C, a process computer 14 and a spare process computer 15 having the operation diagnosis unit 4 and the comprehensive diagnosis unit 6 of the present invention are connected to a network. The operation diagnosis unit 4 (including the diagnosis means 41, 42, 43) is realized by software as a program in the process computers 14, 15, and the comprehensive diagnosis unit 6 is also realized by software in the process computer 14. These may be programs in a high-level language such as Fortran or PL-I, or may be realized as a knowledge base in an expert system utilizing knowledge engineering.

Further, the process computers 14 and 15 realize the digital processing of the equipment diagnosis section 5 (including the diagnosis means 51, 52 and 53) and the signal processing section 3 of the present invention by a program using a high-level language as software. ing. In the device group C, a CRT device as a display output unit 7 used for maintenance, a line printer (L / P), and the like are installed.
A line printer (L / P) is installed.

The above is the configuration of the basic comprehensive diagnosis system of the present embodiment.

As for the creative unit 8, the workstation 18 is connected to a network by providing a station. If the computer capacity of the process computer 15 has room, it can be included in the creation unit 8, but it is a field in which a new method will be developed and added in the future, so that it is made independent. Is more desirable. The data analysis method and learning function of the creation unit 8 are created by a high-level language program.

The batch diagnostic unit 9 inputs necessary data to a computer 17 via a line from a process input / output device 16 which can extract data from the process computers 14 and 15 provided in the operation / display device group C. Here, a program can be created in a high-level language to make a precise diagnosis offline, and parameters can be changed or the method can be changed based on the results.

Next, the operation of the system of FIG. 2, that is, a diagnosis method will be described with reference to FIGS. 3, 4, and 5. FIG.

(Example 2) The flow of FIG. 3 is an example of an operation abnormality avoidance action guide in a case where there is an abnormality in the primary diagnosis of operation relation.

In the system, various operation sensors 1 and equipment sensors 2 measure in accordance with a predetermined cycle or a predetermined length of time of the strip, and the various sensors 1 and 2 are measured.
And / or various signals subjected to signal processing such as noise removal, averaging, or band-pass filtering by a high-speed signal processing device 13 which is a part of the signal processing unit 3 according to a predetermined route. The process of digitizing the output signals of the sensors 1 and 2 via the process input / output device 11 and storing them in the process computers 14 and 15 from the station via the network is repeated during the operation of the rolling mill.

First, the diagnostic management program runs on the process computer
An operation progress signal (generally also referred to as a tracking signal) is obtained from 14 and an abnormality monitoring diagnosis is commanded to the operation diagnosis section 4 at an appropriate timing as a primary diagnosis. Then, an abnormality diagnosis program such as a thickness accuracy (gauge) diagnosis, a plate shape diagnosis, and a lubrication diagnosis is started as the abnormality monitoring program 42, and as a result, the beard gauge (a thickness deviation exceeding the allowable value instantaneously exceeds the allowable value) is displayed on the gauge. This is the case when an abnormality is diagnosed.

When the abnormality is diagnosed, a gauge-related program among the cause identification diagnosis programs 43 is started, and “normal except for the roll eccentric abnormality diagnosis” is determined to be “normal”. The roll eccentricity of the stand is abnormal. "

When the diagnosis results (diagnosis of 42 and 43) are transmitted to the comprehensive diagnosis unit 6, the diagnosis management program activates the expert system, and based on the knowledge base, "If the roll eccentricity of the third rolling mill stand is If abnormal, check the hydraulic pressure reduction control system of the third rolling mill stand related to equipment diagnosis. "

Therefore, a diagnosis command of the hydraulic pressure reduction control system of the third rolling mill stand is transmitted to the equipment diagnosis unit 5. Here, among the secondary diagnosis programs, the hydraulic pressure reduction control system diagnosis program is started to diagnose the frequency response of the hydraulic pressure reduction control system, and a conclusion that "the servo amplifier is abnormal" is obtained.
To be transmitted.

The comprehensive diagnosis unit 6 starts up the expert system again and determines based on the conclusion of the primary diagnosis, the conclusion of the secondary diagnosis, and, if necessary, the causal relationship between the operation and the equipment of the rolling mill. If the roll eccentricity of the machine stand affects the gauge and there is an abnormality in hydraulic pressure,
The constant rolling force control of the number mill stand is defective. ".

From this conclusion, the action guidance of the comprehensive diagnosis unit 6 determines that the constant rolling force control system of the third rolling mill stand is a medium-level failure (defective) as an abnormal situation, and further takes measures against it. "Increase the constant rolling force control gain of the third rolling mill stand by 30%."

Thereafter, the comprehensive diagnosis unit 6 transmits the abnormal state and the countermeasure to the display output unit 7, displays the abnormal state and the countermeasure on a CRT screen or a printer, and notifies the operator or the like by voice. The operator and the maintenance staff look at the display and evaluate the action guidance in consideration of the overall condition of the rolling mill, execute the countermeasure if appropriate, and correct the countermeasure by adding the operator's judgment if necessary. Sometimes.

In the cause identification diagnosis 43 in the primary diagnosis described above, not only the magnitude of the roll eccentricity index value CK of each rolling mill stand is checked, but also the time series fluctuation tendency (trend management) of the CK is diagnosed, and the accuracy is evaluated. Can be improved.

(Example 3) FIG. 4 shows a case where an abnormality is found in a primary diagnosis of equipment, and necessary operation diagnosis is executed in consideration of a causal relationship between operation and equipment based on the result of the diagnosis. This is an embodiment in which an abnormal situation and an action countermeasure are inferred from a result to guide an action to an operator or the like, and also take an executable countermeasure.

First, as in the second embodiment, storing the output signals of the various sensors 1 and 2 and / or the signals obtained by signal processing the output signals in the process computers 14 and 15 is repeated during the operation of the compressor.

Then, at an appropriate timing, the comprehensive diagnosis unit 6 commands the equipment diagnosis unit 5 to perform abnormality monitoring (simple diagnosis) as a primary diagnosis.
Upon receiving the command, the equipment diagnosis unit 5 starts an abnormality diagnosis program 52 for performing a drive system diagnosis, a hydraulic system diagnosis, a lubrication system diagnosis, an electric system diagnosis, and the like of the rolling mill, and simply diagnoses a signal from the drive system sensor. As a result, it was concluded that "the vibration value of the second pinion stand bearing rose to the caution level".

Therefore, the equipment diagnosis unit 5 continuously starts the precision diagnosis program 53, and as a result of the precision diagnosis, determines that "the meshing component of the gear is increasing" and concludes "wear of the second pinion gear". did.

Upon receiving the conclusion, the comprehensive diagnosis unit 6 activates the expert system, and based on the conclusion and the causal relationship between the operation and the equipment of the rolling mill, “If the vibration abnormality of the second pinion stand is at the caution level, Check the thickness deviation of the fifth stand (final stand). "

Thereafter, the operation diagnosis unit 4 receiving the diagnosis command from the comprehensive diagnosis unit 6 starts the secondary diagnosis program and checks the plate thickness deviation of the fifth stand. I got the conclusion.

The comprehensive diagnosis unit 6 to which the conclusion has been transmitted, activates the expert system again, and makes a judgment based on the primary diagnosis conclusion and the secondary diagnosis conclusion, and, if necessary, based on the causal relationship between the operation of the rolling mill and the equipment, "If the vibration value is not suddenly increased due to pinion vibration abnormality and the thickness deviation is not affected, check the abnormal part at the time of regular maintenance."

Based on the result, the action guidance of the comprehensive diagnosis unit 6 determines that the second pinion gear is slightly worn as an abnormal situation, and as a countermeasure, "decreases the line speed by 10%. No. 2 at the next regular maintenance
Check the wear of the pinion gear. ".

Then, the action guidance is displayed on the CRT device or the printer in the display output unit 7, and is notified by voice to an operator or the like, and a command of 10% deceleration is sent to the control unit that controls the speed of the second pinion gear. The speed of the rolled material after this diagnosis was reduced by 10%. The speed reduction was continued until the next regular maintenance. Based on the diagnosis result, the speed was returned to the constant speed after the pinion gear was repaired during the regular maintenance.

(Example 4) FIG. 5 shows a case where an operation relationship is abnormal as a result of the primary diagnosis. Based on the diagnosis result, necessary equipment diagnosis is performed in consideration of a causal relationship between operation and equipment. This is an embodiment in which an abnormal situation is determined from both diagnostic results, and action measures are guided by an operator or the like.

First, as in the second embodiment, storing the output signals of the various sensors 1 and 2 and / or the signals obtained by processing the output signals in the process computers 14 and 15 is repeated during the operation of the rolling mill.

Then, the comprehensive diagnosis unit 6 instructs the operation diagnosis unit 4 and the equipment diagnosis unit 5 to perform abnormality monitoring as primary diagnosis at an appropriate timing. The two diagnostic units 4 and 5 that have received the instruction respectively
Various diagnoses were made in the same manner as in the figures and FIG. 4, and as a result, it was diagnosed that "there is a sudden change in the rear tension of the second rolling stand." .

Upon receiving the diagnosis, the comprehensive diagnosis unit 6 activates the expert system, and provides a result of the diagnosis and operation of the rolling mill.
As a result of the judgment based on the causal relationship between the facilities,
If the stand has sudden fluctuations in tension, check the speed control system of the Nth stand. ".

After that, the equipment diagnosis unit 5 receiving the diagnosis command from the comprehensive diagnosis unit 6 made the secondary diagnosis program diagnose the frequency response related to the speed control system of the second stand, and as a result, concluded that "shaft resonance occurred".

Upon receiving the conclusion and transmitting and receiving the conclusion, the comprehensive diagnosis unit 6 starts up the expert system again and determines from the primary and secondary diagnosis conclusions. As a result, "if the tension of the N-th stand suddenly fluctuates and the speed control If there is an abnormality in the system, the axis resonance of the Nth stand is poor. "

Based on the conclusion, the comprehensive diagnosis unit determines that the action guidance of 6 is that “axial resonance of the second stand occurs slightly” as an abnormal situation (cause), and as a countermeasure, “axial resonance of the second stand” Please adjust the constant of the suppression circuit. " Then, the action guidance is displayed on a CRT device or a printer of the display output unit 7 to notify an operator or a maintenance person. in this case,
The maintenance staff who saw the abnormal situation displayed the tension measurement value and abnormal data of each stand of the operation sensor 1 on the CRT device to check it, and further took out the abnormal data and performed batch inspection, which is an offline precision diagnosis system. The data was input to the diagnosis unit 9 and analyzed to search for a method of adjusting the shaft resonance suppression circuit of the second stand. Taking advantage of the result, the circuit constant was adjusted when the rolling mill was stopped.

(Effects) As described above, according to the present invention, in large-scale rolling mills (hot rolling mills, cold rolling mills, plate rolling mills, and the like), the operation (quality control) is always performed during operation of the rolling mill. Diagnosis of relations and / or equipment relations in real time, and if an abnormality occurs, the whole rolling mill can be diagnosed organically, comprehensively, efficiently and quickly from the operation and equipment aspects. At the same time, a system that can display and obtain guidance including diagnostic information and actions in real time was established.

As a result, the load on the operator can be significantly reduced, and the sudden stoppage of the operation of the rolling mill is drastically reduced, so that the reliability of the quality and the production is greatly improved. Operation is now possible.

Further, in the system of the present invention, the trend management based on the time-lapse data of the equipment operation is performed, and the future diagnosis can be predicted, which is extremely significant for maintenance.

Furthermore, the creation unit and the batch diagnosis unit facilitate the systematization of the causal relationship between the operation and the equipment of the rolling mill, so that the diagnosis technology can be further ensured.

In addition, the system configuration of the present invention (the configuration of the operation diagnosis unit, the equipment diagnosis unit, the comprehensive diagnosis unit, and the display output unit) and the adoption of the expert system allow flexibility to be added to the structural change. The results of the development can be easily incorporated into the present invention.

[Brief description of the drawings]

FIG. 1 is a basic configuration diagram of a rolling mill operation-equipment comprehensive diagnosis system according to the present invention. FIG. 2 is a system configuration diagram showing an example of a comprehensive diagnostic system according to the present invention. FIG. 3 shows a system diagnostic method (equipment-related) according to the present invention.
It is a flowchart figure which shows an example of. FIG. 4 is a system diagnostic method according to the present invention (operational relation).
It is a flowchart figure which shows an example of. FIG. 5 is a system diagnosis method according to the present invention (operational relation).
It is a flowchart figure which shows the other example of. In the figure, 1 is an operation sensor, 2 is a facility sensor, 3 is a signal processing section, 4 is an operation diagnosis section, 5 is a facility diagnosis section, 6 is a general diagnosis section, 7 is a display output section, 8 is a creation section, and 9 is a creation section. Batch diagnostic unit, 11 is a process input / output unit, 12 is a microcomputer and / or a programmable controller, 13 is a high-speed signal processing device, 14, 15 is a process computer, 16 is a process input / output device, 17 is a precision diagnostic computer, 18 Is a workstation.

 ──────────────────────────────────────────────────続 き Continuing from the front page (72) Inventor Daisuke Fujii 1-1-1 Edamitsu, Yawatahigashi-ku, Kitakyushu-city, Fukuoka Prefecture Inside of the Equipment Engineering Division, Nippon Steel Corporation (72) Inventor Toshiaki Fuchinami Kitakyushu, Fukuoka Prefecture 1-1-1 Edamitsu, Yawata-Higashi-ku Nippon Steel Corporation Equipment Engineering Headquarters (72) Inventor Tadaharu Onishi 1-1-1 Edamitsu, Yawata-Higashi-ku, Kitakyushu-shi, Fukuoka Nippon Steel Corporation Yawata Steel Works ( 72) Inventor Yoneda 1-1-1 Emitsu, Yawata-Higashi-ku, Kitakyushu-shi, Fukuoka Nippon Steel Corporation Yawata Works (72) Inventor Yasuto Ago 1-1-1 Edamitsu, Yawata-Higashi-ku, Kitakyushu-shi, Fukuoka Nippon Steel Corporation Yawata Works (56) References JP-A-1-170507 (JP, A) JP-B-64-42300 (JP, B2)

Claims (4)

(57) [Claims] An operation sensor for detecting operation information such as a thickness of a product and a material being rolled is provided to a rolling mill;
An equipment sensor for detecting equipment information such as operation characteristics is installed, a signal processing unit that performs primary signal processing on the output of the operation sensor and the output of the equipment sensor, and an output from the operation sensor or the signal processing unit. Inputting an output related to the operation sensor, an operation diagnosis unit for diagnosing an operation state, and inputting an output related to the equipment sensor from the output of the equipment sensor or the signal processing unit,
An equipment diagnosis unit for diagnosing equipment status, and instructing the operation diagnosis unit and the equipment diagnosis unit to perform a primary diagnosis, inputting the result of the primary diagnosis, and if necessary, the operation diagnosis unit and the equipment diagnosis unit Command a secondary diagnosis to one or both of
Based on the result of the secondary diagnosis, based on the result of the primary diagnosis and the result of the secondary diagnosis input as necessary, based on the result of the secondary diagnosis, an integrated diagnosis unit for identifying an abnormal situation of the rolling mill and determining an abnormal cause. A comprehensive diagnostic system for a rolling line, comprising: 2. The rolling line comprehensive diagnosis system according to claim 1, wherein an action selection function is added to the comprehensive diagnosis unit, and the action selection function has a function of outputting guidance to an operator. 3. The rolling line according to claim 1, wherein an action selection function is added to the comprehensive diagnosis section, and the action selection function has a function of outputting guidance to a control section of the rolling mill. Comprehensive diagnostic system. 4. The system according to claim 1, wherein the general diagnosis section has a function of treating input data performed by the operator based on the guidance output as data of a logical operation.
A comprehensive diagnostic system for the rolling line described.