Spray equipment diagnostic device

Abstract

The performance data collection unit collects performance data including the actual inlet temperature, actual outlet temperature, and actual rolling speed of the cooling equipment, as well as the open / closed state of the water injection valves of each spray equipment. The prediction value calculation unit uses the performance data of each representative point to calculate the predicted outlet temperature of the cooling equipment at each representative point. The error change calculation unit calculates the error between the actual outlet temperature and the predicted outlet temperature at each representative point, selects two representative points from among several representative points, and calculates the change in error between the two representative points. The unit error change retention unit identifies spray equipment where the open / closed state of the water injection valve has changed between two representative points as state-changing spray equipment, calculates the unit error change, which is the change per state-changing spray equipment, and retains the unit error change for each open / closed state of the water injection valve of each state-changing spray equipment. The fault diagnosis unit diagnoses faults in the spray equipment based on the unit error change retained for each open / closed state of the water injection valve.

Description

[Technical Field]

[0001] This disclosure relates to a spray equipment diagnostic device for diagnosing multiple spray equipment of a cooling device arranged along the conveying direction of a rolled material. [Background technology]

[0002] The winding temperature of rolled material (hereinafter also referred to as "steel sheet") rolled on a hot rolling line affects the strength and toughness of the steel sheet. The winding temperature is controlled by the amount of water injected (cooling water flow rate) from multiple spray equipment that make up the cooling system (also called a "cooling bank"). These multiple spray equipment are usually attached to the runout table that transports the steel sheet from the finishing rolling mill to the winding machine.

[0003] The amount of water injected from each spray device is controlled by opening and closing the injection valve. For example, if a spray device malfunctions, such as a clogged nozzle or a faulty valve, a difference will occur between the actual amount of water injected and the set amount of water injected, resulting in an error between the actual steel plate temperature at the outlet of the cooling device (actual outlet temperature) and the predicted outlet temperature. As a result, it becomes impossible to achieve the desired winding temperature. Therefore, it is necessary to diagnose each spray device and isolate any spray device diagnosed as malfunctioning from the control system.

[0004] The diagnostic method disclosed in Patent Document 1 below obtains the performance data for multiple spray equipment combinations and calculates the water injection volume for each spray equipment by solving a system of equations set up using the performance data and unknown flow rates. Then, the faulty spray equipment is identified by comparing the calculated water injection volume with the set water injection volume. [Prior art documents] [Patent Documents]

[0005] [Patent Document 1] Japanese Patent No. 5741060 [Overview of the project] [Problems that the invention aims to solve]

[0006] In the above-mentioned Patent Document 1, one equation is set up for each spraying device, so the amount of water injected into one spraying device is calculated only for one run. If the number of spraying devices is relatively small, for example, 20 to 30, and the temperature drop of the rolled material per spraying device is large, even with a calculation for a single run, it is possible to determine that the error in the calculated water injection amount compared to the set water injection amount is due to a malfunction of the spraying device.

[0007] However, when the number of spraying equipment is relatively large, for example, 100 or more, and the temperature drop per spraying equipment is small, calculations based on a single state are noisy due to errors caused by differences in the rolled material and differences in rolling conditions. This makes it difficult to diagnose that the error in the calculated water injection amount relative to the set water injection amount is due to a malfunction in the spraying equipment. As a result, it becomes impossible to accurately diagnose malfunctions in the spraying equipment.

[0008] This disclosure is made to solve the problems described above, and aims to provide a spray equipment diagnostic device that can accurately diagnose faults in spray equipment even when the temperature drop per spray unit is small. [Means for solving the problem]

[0009] The first aspect relates to a spray equipment diagnostic device for diagnosing multiple spray equipment of a cooling device arranged along the conveying direction of a rolled material. Each spray equipment has a water inlet valve that is opened and closed by a cooling control device. The spray equipment diagnostic device comprises a performance data collection unit, a prediction value calculation unit, an error change calculation unit, a unit error change retention unit, and a fault diagnosis unit. The performance data collection unit is configured to collect performance values, including the performance values ​​of the inlet temperature, outlet temperature, and speed of the rolled material of the cooling device, as multiple representative points set along the conveying direction of the rolled material pass through the cooling device, as well as the open / closed state of the water inlet valve of each spray equipment. The prediction value calculation unit is configured to calculate the predicted outlet temperature of the cooling device at each representative point using the performance values ​​of each representative point. The error change calculation unit is configured to calculate the error between the performance value and the predicted outlet temperature at each representative point, select two representative points from the multiple representative points, and calculate the change in error between the two representative points. The unit error change retention unit identifies spray equipment where the open / closed state of the water injection valve changes between two representative points as state-changing spray equipment, calculates the unit error change amount which is the amount of change per state-changing spray equipment, and is configured to retain the unit error change amount for each open / closed state of the water injection valve of each state-changing spray equipment. The fault diagnosis unit diagnoses a fault in the spray equipment based on the unit error change amount retained for each open / closed state of the water injection valve.

[0010] The second aspect, in addition to the first aspect, has the following further features: The prediction value calculation unit is provided in the cooling control device. The actual data collection unit is configured to output the actual values ​​of each representative point that it has collected to the prediction value calculation unit. The prediction value calculation unit is configured to calculate the predicted outlet temperature using the actual values ​​of each representative point input from the actual data collection unit, and to output the calculated predicted outlet temperature to the error change calculation unit.

[0011] The third aspect, in addition to the first or second aspect, further has the following features: The unit error change retention unit is configured to accumulate the unit temperature difference change for each open / closed state of the water injection valve of each spray equipment and retain the accumulated value. The fault diagnosis unit is configured to diagnose faults in the spray equipment based on the accumulated value.

[0012] The fourth aspect, in addition to the first or second aspect, further has the following features: The unit error change retention unit is configured to smooth the unit error change for each open / closed state of the water injection valve of each spray equipment and retain the smoothed value. The fault diagnosis unit is configured to diagnose faults in the spray equipment based on the smoothed value.

[0013] The fifth aspect, in addition to the first or second aspect, further has the following features: The unit error change retention unit is configured to calculate a moving average of the unit error change for each open / closed state of the water injection valve of each spray equipment and to retain the moving average. The fault diagnosis unit is configured to diagnose faults in the spray equipment based on the moving average. [Effects of the Invention]

[0014] From the first perspective, the unit was obtained by calculating the change in error between two representative points within the same rolled material and dividing the change in error by the number of state-changing spray equipment. error A configuration that retains the amount of change is employed. This eliminates errors caused by differences in the material and rolling conditions of the rolled material, which can be noise in fault diagnosis. Therefore, from the first perspective, even if the temperature drop per spray unit is small, fault diagnosis of the spray equipment can be performed accurately.

[0015] From a second perspective, by performing the calculation of the predicted outlet temperature using a cooling control device, the predicted outlet temperature can be calculated with high accuracy, and the processing load on the spray equipment diagnostic device can be reduced.

[0016] From a third perspective, fault diagnosis of spray equipment can be performed accurately based on the cumulative value of the unit temperature difference change.

[0017] From a fourth perspective, accurate fault diagnosis of spray equipment can be performed based on a smoothed value of the unit temperature difference change. Moreover, there is no need to periodically reset the smoothed value, making it user-friendly.

[0018] From a fifth perspective, fault diagnosis of spray equipment can be accurately performed based on the moving average of the unit temperature difference change. Moreover, since a predetermined number of unit error changes are added with the same weight, fault diagnosis of multiple spray equipment can be performed using the same criteria regardless of the switching frequency. Furthermore, there is no need to periodically reset the moving average, making it user-friendly. [Brief explanation of the drawing]

[0019] [Figure 1] This is a schematic diagram illustrating the configuration of a spray equipment diagnostic device according to an embodiment applied to a hot rolling line. [Figure 2] This is a schematic diagram showing representative points set on the rolled material along the conveying direction of the rolled material. [Figure 3] This is a schematic diagram showing a storage area where the cumulative value of the unit temperature difference change is stored. [Figure 4] This figure shows an example of the hardware configuration of a process control computer, including a spray equipment diagnostic device. [Figure 5] This is a schematic diagram illustrating the configuration of a spray equipment diagnostic device according to another embodiment. [Modes for carrying out the invention]

[0020] Hereinafter, embodiments of this disclosure will be described with reference to the drawings, using as an example the case where it is applied to a cooling device installed in a hot rolling line. In addition, elements common to each figure are denoted by the same reference numerals, and redundant explanations are omitted.

[0021] Figure 1 is a schematic diagram illustrating the configuration of a spray equipment diagnostic device according to an embodiment applied to a hot rolling line. Figure 2 is a schematic diagram showing representative points set on the rolled material along the conveying direction of the rolled material.

[0022] The hot rolling line 1 is equipped with the following main rolling equipment: a rolling mill 2, a runout table 3, a cooling device 4, and a coiler 5.

[0023] The rolling mill 2 rolls the rolled material Mr to a predetermined target plate thickness (product plate thickness). The rolling mill 2 is equipped with at least one rolling stand 21. The rolling stand 21 is equipped with a pair of upper and lower work rolls 211, a pair of upper and lower backup rolls 212, and an electric motor 213 for rotating the rolls.

[0024] The runout table 3 has a plurality of table rolls 31 arranged in parallel along the conveying direction of the rolled material Mr.

[0025] The cooling device 4 is attached to the runout table 3. The cooling device 4 has multiple spray equipment 41. The multiple spray equipment 41 are arranged above and below the rolled material Mr, respectively. Each spray equipment 41 has, for example, a water injection valve (hereinafter referred to as "valve") 411 and a water injection header (hereinafter referred to as "header") 412. By opening the valve 411, cooling water is injected into the rolled material Mr from the header 412. The opening and closing control of the valve 411 is performed by the cooling control device 8, which will be described later.

[0026] The number of spray equipment 41 is not particularly limited, but this disclosure is preferably applicable when 100 or more spray equipment 41 are arranged and the temperature drop per spray equipment is small. The coiler 5 winds the rolled material Mr, cooled by the cooling device 4, into a coil.

[0027] An inlet thermometer 61 is positioned between the rolling mill 2 and the cooling device 4. That is, an inlet thermometer 61 is positioned on the inlet side of the cooling device 4. The inlet thermometer 61 measures the actual inlet temperature value FDT, which is the temperature of the rolled material Mr that passes directly beneath it. Similarly, an outlet thermometer 62 is positioned between the cooling device 4 and the coiler 5. That is, an outlet thermometer 62 is positioned on the outlet side of the cooling device 4. The outlet thermometer 62 measures the actual outlet temperature value CT, which is the temperature of the rolled material Mr that passes directly beneath it.

[0028] The hot rolling line 1 is operated by a computer-based control system. The computer system includes a host computer 71 and a process control computer 72, which are connected to each other via a network. An interface screen 73, which is the operator's control screen, is connected to the process control computer 72 via the network. The operator can perform operations such as inputting control conditions on the interface screen 73. In addition, the interface screen 73 is notified of any spray equipment 41 that has been diagnosed as malfunctioning, as described later.

[0029] The process control computer 72 performs setting calculations and control of the control targets in a series of rolling processes based on rolling information (e.g., steel type, product plate thickness, etc.) input from the higher-level computer 71. The process control computer 72 is equipped with a cooling control device 8 and a spray equipment diagnostic device 9.

[0030] The cooling control device 8 provides information such as the steel type and rolling conditions of the rolled material Mr, the actual entry temperature FDT measured by the entry thermometer 61, the predicted speed of the rolled material Mr, and the predicted exit temperature CT for each representative point described later. CAL Based on the target cooling temperature path and other factors, the number of times valve 411 is opened and closed (opening / closing pattern) is determined, and instructions are given to open and close valve 411 in accordance with the movement of the representative point.

[0031] The spray equipment diagnostic device 9 comprises a performance data collection unit 91, a predicted value calculation unit 92, an error change amount calculation unit 93, a unit error change amount holding unit 94, and a fault diagnosis unit 95.

[0032] The performance data collection unit 91 collects performance values ​​as multiple representative points set on the rolled material Mr pass through the cooling device 4, at the timing when each representative point passes through the inlet thermometer 61, each spray equipment 41, and the outlet thermometer 62. Each representative point may be a strip-shaped area set along the transport direction of the rolled material Mr, as shown in Figure 2, or it may be a single point. The performance value is the inlet temperature performance value FDT at the time each representative point passes through the inlet thermometer 61, each spray equipment 41, and the outlet thermometer 62. ACT Output temperature actual value CT ACTand includes the speed actual value V of the rolled material Mr. The speed actual value V may be measured by a speedometer (not shown) or may be calculated from the rotational speed and the feed rate of the final rolling stand 21 of the rolling mill 2. The actual value collection unit 91 further collects the opening / closing state ST of the valve 411 when each representative point passes through each spray facility 41, in addition to the above actual values. The actual value collection unit 91 can collect the opening / closing state of the valve 411, taking into account the response delay from when the opening / closing state of the valve 411 changes until the water injection affects the rolled material Mr. The actual value collection unit 91 obtains information (actual values) regarding a plurality of representative points set over the entire length of the rolled material Mr from when the tip of the rolled material Mr passes through the inlet thermometer 61 until the tail end of the rolled material Mr passes through the outlet thermometer 62.

[0033] The predicted value calculation unit 92 calculates (predicts) the outlet temperature predicted value CT of each representative point based on the actual values FDT ACT , V, CT ACT collected by the actual value collection unit 91. The outlet temperature predicted value CT CAL can be calculated in consideration of information (such as plate thickness, chemical composition, etc.) of the rolled material Mr. Further, the predicted value calculation unit 92 can also have a learning function in order to improve the prediction accuracy of the outlet temperature predicted value CT CAL . The outlet temperature predicted value CT of the representative point i CAL i CAL is calculated by the following formula (1). CT i CAL = f1(FDT i ACT , V ij , ST ik , …)···(1)

[0034] In the above formula (I), f1 is a physical calculation model, FDT i ACT is the inlet temperature actual value of the representative point i, V ij is the speed at the position j of each rolling facility of the representative point i, and ST ik is the opening / closing state of the valve 411 at the position k of the spray facility 41 of the representative point i. Since this type of physical calculation model f1 is well-known, detailed description thereof is omitted here.

[0035] The error change calculation unit 93 calculates the actual output temperature CT of each representative point. ACT and output temperature prediction value CT CAL Error (temperature difference) with CT ERR This calculates the predicted output temperature CT for each representative point. CAL The prediction error is calculated. The actual output temperature CT at representative point i. i ACT and output temperature prediction value CT i CAL Error in CT i ERR This is calculated by the following formula (2). CT i ERR = CT i ACT - CT i CAL ...(2)

[0036] Furthermore, the error change calculation unit 93 selects two representative points from among multiple representative points within the same rolled material Mr, and calculates the error CT between the two selected representative points. ERR Change in ΔCT ERR The following is calculated: If two adjacent representative points i and i-1 are selected, the error change ΔCT between representative points i and i-1 is calculated. i ERR This is calculated by the following formula (3). ΔCT i ERR = CT i ERR - CT i-1 ERR ...(3)

[0037] The unit error change amount holding unit 94 compares the open / closed state ST of the valve 411 at two representative points i and representative point i-1, and identifies the spray equipment 41 in which the open / closed state of the valve 411 has changed as a state-changing spray equipment. 94 This is the unit error change ΔCT, which is the amount of error change per state-changing spray equipment. i OneERR Calculate the number of state-changing spray equipment 41 as N. i Therefore, the unit error change ΔCT iOneERR This is calculated by the following equation (4): Unit error change ΔCT i OneERR This is the error change ΔCT i ERR The number N of state-changing spray equipment 41 i It can be found by dividing by . ΔCT i OneERR = ΔCT i ERR / N i ...(4)

[0038] The unit error change amount holding unit ΔCT i OneERR The cumulative value CNT is calculated for each open / closed state (open / closed) of the valve 411 of each state-changing spray equipment 41. The cumulative value CNT of each state-changing spray equipment z where the valve 411 changes from the closed state to the open state at representative point i. Z ToOPEN This is expressed by equation (5) below. On the other hand, the integrated value CNT of each state change spray equipment z when valve 411 changes from the open state to the closed state at representative point i is Z ToCLOSE This is expressed by equation (6) below. CNT Z ToOPEN = Σ(ΔCT i OneERR )···(5) CNT Z ToCLOSE = Σ(ΔCT i OneERR )···(6)

[0039] These accumulated values ​​are stored, for example, in the storage area 941 shown in Figure 3. Figure 3 shows the unit error change amount ΔCT. i OneERR This is a schematic diagram showing a storage area 941 where the accumulated values ​​are stored. The storage area 941 is configured in layers for the spray equipment 41 and the valve open / closed state. The storage area 941 can be provided, for example, in the memory 72c described later.

[0040] Here, the case of selecting two adjacent representative points i and i - 1 is described as an example, but it is not limited to this. When the tracking accuracy of data collection by the performance collection unit 91 is not sufficient, two representative points i and i - 2 that are separated from each other may be selected.

[0041] If the representative point i is compared with a plurality of previous representative points i - 1, i - 2, i - 3,... and the state change spray facility 41 can be specified between any of the previous representative points, within the same rolled material Mr and under the same rolling conditions, the unit error change amount ΔCT i OneERR can be integrated.

[0042] Unit error change amount ΔCT i OneERR The integration of is preferably performed by excluding the data of representative points in unstable shape portions such as the tension - free portions at the leading and trailing ends of the rolled material Mr. Also, Enter Side temperature actual value FDT ACT and the outlet - side temperature actual value CT ACT are judged for normal / abnormal. When judged as abnormal, it is preferable to exclude the data of the corresponding representative point and the data of the representative points before and after the corresponding representative point.

[0043] The failure diagnosis unit 95 specifies the spray facility 41 for which the integrated value CNT Z ToOPEN , CNT Z ToCLOSE is larger than the reference value and diagnoses it as a failure. The integrated value CNT Z ToOPEN , CNT Z [[ID=XX]] ToCLOSE can be held while rolling M (M is a natural number greater than or equal to 1) rolled materials Mr. The integrated value CNT Z ToOPEN , CNT Z ToCLOSE can be reset at the timing of performing maintenance (replacement or repair) of the corresponding spray facility 41.

[0044] If the fault diagnosis unit 95 diagnoses a fault, it notifies the operator, for example, by displaying the information on the interface screen 73 or another display. Upon receiving the notification, the operator disconnects the spray equipment 41 diagnosed as faulty from the control system and makes it unusable. Alternatively, the fault diagnosis unit 95 may be configured to send information about the faulty spray equipment 41 to the cooling control device 8, which then automatically excludes the spray equipment 41 from use. This maintains the performance of the cooling control device 8 and allows for accurate control of the winding temperature.

[0045] There are no specific limitations on the structure of the process control computer 72, but as an example, it may be as follows. Figure 4 shows an example of the hardware configuration of the process control computer 72. The functions of the process control computer 72, including the cooling control device 8 and the spray equipment diagnostic device 9, can be realized by the processing circuit shown in Figure 4. Furthermore, the functions of the process control computer 720, which will be described later, can be realized by the processing circuit shown in Figure 4. This processing circuit may be dedicated hardware 72a. This processing circuit may also include a processor 72b and memory 72c. This processing circuit may be partially formed as dedicated hardware 72a and further include a processor 72b and memory 72c. In the example in Figure 4, part of the processing circuit is formed as dedicated hardware 72a, and the processing circuit also includes a processor 72b and memory 72c.

[0046] At least a part of the processing circuit may be at least one dedicated hardware 72a. In this case, the processing circuit may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof. The processing circuit may include at least one processor 72b and at least one memory 72c. In this case, each function of the process control computer 72 is realized by software, firmware, or a combination of software and firmware. The software and firmware are described as programs and stored in the memory 72c. The processor 72b realizes the functions of each part of the cooling control device 8 and the spray equipment diagnostic device 9 by reading and executing the program stored in the memory 72c. The processor 72b is also called a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, or a DSP. The memory 72 c corresponds to, for example, a non-volatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, an EEPROM, etc. Thus, the processing circuit can realize the functions of the cooling control device 8 and the spray equipment diagnostic device 9 by hardware, software, firmware, or a combination thereof.

[0047] As described above, according to the present disclosure, the change amount (hereinafter also referred to as "error change amount") ΔCT of the error CT between two representative points i and i - 1 in the same rolled material Mr i ERR is calculated, and the error change amount ΔCT i ERR is divided by the number N of state change spray equipment i ERR to obtain the unit temperature difference change amount ΔCT i i OneERR ​A configuration that maintains this structure is adopted. This eliminates errors caused by differences in the material and rolling conditions (rolling status) of the rolled material Mr, which can be noise in fault diagnosis. Therefore, even if the temperature drop per spray unit is small, fault diagnosis of the spray unit 41 can be performed accurately.

[0048] While embodiments of this disclosure have been described above, this disclosure is not limited to the embodiments described above, and can be implemented in various modified forms without departing from the spirit of this disclosure. When the number of elements, quantities, amounts, ranges, etc., are mentioned in the embodiments described above, this invention is not limited to the number mentioned unless it is specifically stated or clearly defined in principle. Furthermore, the structures, etc., described in the embodiments described above are not necessarily essential to this invention unless they are specifically stated or clearly defined in principle.

[0049] In the above embodiment, the failure of the spray equipment is diagnosed based on the cumulative value of the unit temperature difference change. However, the cumulative value of spray equipment with a high switching frequency increases faster than the cumulative value of equipment with a low switching frequency. To avoid this situation, it is necessary to periodically reset the cumulative value.

[0050] Therefore, the unit error change amount holding unit 94 holds the unit error change amount ΔCT for each open / closed state (open / closed) of the valve 411 of each state-changing spray equipment 41. i OneERR It can be configured to smooth the following: ΔCT, the unit error change amount of the spray equipment k for each state change when valve 411 changes from a closed state to an open state at a representative point i. i OneERR The smoothed value CNT k ToOPEN This is expressed by equation (7) below. On the other hand, the unit error change ΔCT of each state change spray equipment k when valve 411 changes from the open state to the closed state at representative point i is i OneERR The smoothed value CNT k ToCLOSEThis is expressed by equation (8) below. In equations (7) and (8) below, β is the smoothing gain and can be set to a value greater than 0 and less than 1.

[0051] CNT k ToOPEN = (1-β)×CNT k ToOPEN + β×ΔCT i OneERR ...(7)

[0052] CNT k ToCLOSE = (1-β)×CNT k ToCLOSE + β×ΔCT i OneERR ...(8)

[0053] By using these smoothed values, fault diagnosis of the spray equipment 41 can be performed with high accuracy, similar to the embodiment described above. Moreover, there is no need to periodically reset the smoothed values, making it user-friendly.

[0054] Furthermore, the unit error change amount holding unit 94 holds M unit error change amounts ΔCT for each open / closed state (open / closed) of the valve 411 of each state-changing spray equipment 41. i OneERR It can be configured to calculate the moving average of the following: ΔCT, the unit error change of the spray equipment k for each state change when valve 411 changes from closed to open at representative point i. i OneERR The moving average is calculated by the following equation (9). On the other hand, the unit error change ΔCT of each state change spray equipment k where valve 411 changes from the open state to the closed state at representative point i. i OneERR The moving average is expressed by the following equation (10). In equations (9) and (10), N is the total number of data points for the open / closed state of the same spray equipment k, and M is the number of data points used in the moving average.

[0055]

number

[0056] By using the moving average calculated in this way, fault diagnosis of the spray equipment 41 can be performed accurately, similar to the embodiment described above. Moreover, it is not affected by the opening and closing frequency, and M data points (unit error change ΔCT) i OneERR Since the values ​​are added with the same weight, fault diagnosis of the spray equipment 41 can be performed using the same criteria. Furthermore, there is no need to periodically reset the moving average, making it user-friendly.

[0057] Figure 5 is a schematic diagram illustrating the configuration of a spray equipment diagnostic device according to another embodiment. In the other embodiment, the process computer 720 equipped with the spray equipment diagnostic device 9 is configured separately from the process computer 72 equipped with the cooling control device 8, but it may also be configured as a single process computer 72, similar to the above embodiment. As shown in Figure 5, the cooling control device 8 determines the number of times the valve 411 is opened and closed by determining the predicted outlet temperature CT of each representative point. CAL It includes a prediction value calculation unit 81 that calculates the output temperature prediction value CT. CAL Since this affects the quality of the steel plate, the prediction value calculation unit 81 can be said to have higher performance than the prediction value calculation unit 92. Furthermore, it is more efficient from the standpoint of development costs and maintenance costs.

[0058] The data collection unit 91 is configured to output the collected data values ​​for each representative point to the prediction value calculation unit 81. The prediction value calculation unit 81 uses the data values ​​for each representative point input from the data collection unit 91 to calculate the predicted output temperature CT using a known calculation model. CAL The calculated output temperature prediction value CT CAL The system is configured to output the error change amount calculation unit 93. Output temperature prediction value CT CAL The cooling control device 8 performs the calculation, thereby predicting the outlet temperature CT. CAL This allows for accurate calculation. Furthermore, if the cooling control device 8 and the spray equipment diagnostic device 9 are run on separate process computers 72,720, the processing load on the spray equipment diagnostic device 9 can be reduced.

[0059] Furthermore, in the above embodiment, the prediction value calculation unit 92 uses a physical calculation model to predict the output temperature CT. CAL While this is the calculation, it is not limited to this; for example, machine learning (neural networks) can be used to predict the exit temperature CT. CAL You can also obtain it. [Explanation of symbols]

[0060] 1…Hot rolling line, 2…Rolling mill, 21…Rolling stand, 3…Runout table, 31…Table roll, 4…Cooling device, 41…Spray equipment, 411…Water injection valve, 412…Water injection header, 5…Coiler, 61…Inlet thermometer, 62…Outlet thermometer, 71…Host computer, 72, 720…Process control computer, processing circuit, 72a…Dedicated hardware, 72b…Processor, 72c…Memory, 73…Interface screen, 8…Cooling control device, 9…Spray equipment diagnostic device, 91…Performance data collection unit, 92…Predicted value calculation unit, 93…Error change amount calculation unit, 94…Unit error change amount holding unit, 941…Storage area, 95…Fault diagnosis unit, Mr…Rolled material

Claims

1. A spray equipment diagnostic device for diagnosing multiple spray equipment of a cooling system arranged along the conveying direction of a rolled material, wherein each spray equipment has a water injection valve that is opened and closed by a cooling control device, A data collection unit collects actual values ​​including the actual temperature values ​​at the inlet side of the cooling device, the actual temperature values ​​at the outlet side of the cooling device, and the actual speed values ​​of the rolled material when multiple representative points set along the conveying direction on the rolled material pass through the cooling device, as well as the open / closed state of the water injection valve of each spray equipment. A prediction value calculation unit calculates a predicted outlet temperature of the cooling device at each representative point using the actual values ​​of each representative point. An error change calculation unit calculates the error between the actual output temperature value and the predicted output temperature value for each representative point, selects two representative points from the plurality of representative points, and calculates the amount of change in the error between the two representative points. A spray equipment in which the open / closed state of the water injection valve changes between the two representative points is identified as a state-changing spray equipment, the amount of change for each state-changing spray equipment is calculated as the unit error change amount, and the unit error change amount is maintained for each open / closed state of the water injection valve of each state-changing spray equipment by a unit error change amount holding unit, A fault diagnosis unit diagnoses a malfunction of the spray equipment based on the unit error change amount maintained for each open / closed state of the water injection valve, A spray equipment diagnostic device equipped with the following features.

2. In the spray equipment diagnostic device according to claim 1, The predicted value calculation unit is provided in the cooling control device, The aforementioned performance data collection unit is configured to output the performance values ​​of each representative point that it has collected to the aforementioned predicted value calculation unit. The spray equipment diagnostic device is configured such that the predicted value calculation unit calculates the predicted outlet temperature using the actual values ​​of each representative point input from the actual value collection unit, and outputs the calculated predicted outlet temperature to the error change amount calculation unit.

3. In the spray equipment diagnostic device according to claim 1 or claim 2, The unit error change amount holding unit is configured to accumulate the unit error change amount for each open / closed state of the water injection valve of each spray equipment and to hold the accumulated value. The fault diagnosis unit is a spray equipment diagnostic device configured to diagnose a fault in the spray equipment based on the accumulated value.

4. In the spray equipment diagnostic device according to claim 1 or claim 2, The unit error change amount holding unit is configured to smooth the unit error change amount for each open / closed state of the water injection valve of each spray equipment and to hold the smoothed value. The fault diagnosis unit is configured to diagnose a fault in the spray equipment based on the smoothed value, and is a spray equipment diagnostic device.

5. In the spray equipment diagnostic device according to claim 1 or claim 2, The unit error change amount holding unit is configured to calculate a moving average of the unit error change amount for each open / closed state of the water injection valve of each spray equipment and to hold the moving average. The fault diagnosis unit is configured to diagnose a fault in the spray equipment based on the moving average, and is a spray equipment diagnostic device.

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