Spray system diagnosis device

Abstract

In the present invention, a result collection unit collects actual values including an inlet-side temperature actual value and an outlet-side temperature actual value of a cooling device and an speed actual value of a rolled material, and collects the open / close state of a fill valve of each spray system. A predicted value calculation unit calculates an outlet-side temperature predicted value of the cooling device for each representative point by using the actual value of each representative point. An error change amount calculation unit calculates an error between the outlet-side temperature actual value and the outlet-side temperature predicted value of 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 unit-error change amount holding unit specifies, as a state-change spray system, a spray system in which the open / close state of the fill valve has changed between the two representative points, calculates a unit error change amount that is a change amount of each state-change spray system, and holds the unit error change amount for each open / close state of the fill valve of each state-change spray system. A failure diagnosis unit diagnoses a failure of the spray system on the basis of the unit error change amount held for each open / close state of the fill valve.

Description

Spray equipment diagnostic device

[0001] The present disclosure relates to a spray equipment diagnostic device that diagnoses a plurality of spray equipments of a cooling device arranged along the conveying direction of a rolled material.

[0002] The coiling temperature of a rolled material (hereinafter also referred to as "steel plate") rolled in a hot rolling line affects the strength, toughness, etc. of the steel plate. The coiling temperature is controlled by the amount of water injected (cooling water flow rate) from multiple spray facilities that constitute a cooling device (also referred to as a "cooling bank"). The multiple spray facilities are usually attached to a run-out table that transports the steel plate from the finishing mill to the coiler.

[0003] The amount of water injected from each spray equipment is controlled by opening and closing the water injection valve. For example, if a malfunction of the spray equipment occurs, such as a clogged nozzle or a valve failure, 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 strip temperature at the outlet of the cooling device (actual outlet temperature value) and the predicted outlet temperature value. As a result, the desired coiling temperature cannot be achieved. For this reason, it is necessary to diagnose each spray equipment and isolate any spray equipment diagnosed as malfunctioning from the control targets.

[0004] The diagnostic method disclosed in Patent Document 1 below acquires the performance data of a combination of multiple spray equipment, and calculates the amount of water injected into each spray equipment by solving simultaneous equations that are formulated using the performance data and unknown flow rates.The calculated amount of water injected is then compared with the set amount of water injected to determine which spray equipment is faulty.

[0005] Japanese Patent No. 5741060

[0006] In the above-mentioned Patent Document 1, one equation is established for one spray facility, and therefore the amount of water injected from one spray facility is calculated only in a single state. When the number of spray facilities is relatively small, for example, 20 to 30, and the temperature drop of the rolled material per spray facility is large, even in a calculation in a single state, it is possible to determine that an error in the calculated amount of water injected from the set amount of water injected is due to a malfunction of the spray facility.

[0007] However, when the number of spray facilities is relatively large, for example, 100 or more, and the temperature drop per facility is small, errors due to differences in the material of the rolled material and differences in rolling conditions become noise in a single calculation, making it difficult to diagnose that an error in the calculated water injection amount relative to the set water injection amount is due to a failure of the spray facilities. As a result, it becomes impossible to accurately diagnose a failure of the spray facilities.

[0008] The present disclosure has been made to solve the above-mentioned problems, and aims to provide a spray equipment diagnostic device that can accurately diagnose faults in spray equipment even when the amount of temperature drop per spray equipment is small.

[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 injection valve whose opening and closing is controlled by a cooling control device. The spray equipment diagnostic device includes a performance collection unit, a predicted value calculation unit, an error change calculation unit, a unit error change storage unit, and a fault diagnosis unit. The performance collection unit is configured to collect performance values, including an inlet temperature performance value, an outlet temperature performance value, and a unit speed performance value of the cooling device, when multiple representative points set along the conveying direction of the rolled material pass through the cooling device, and the open / close state of the water injection valve of each spray equipment. The predicted value calculation unit is configured to calculate a predicted value of the outlet temperature of the cooling device at each representative point using the performance values ​​at each representative point. The error change calculation unit is configured to calculate an error between the actual outlet temperature value and the predicted outlet temperature value at each representative point, select two representative points from the multiple representative points, and calculate a change in error between the two representative points. The unit error change amount holding unit is configured to identify spray equipment in which the open / close state of the water injection valve has changed between two representative points as state-changed spray equipment, calculate a unit error change amount which is the amount of change per state-changed spray equipment, and hold the unit error change amount for each open / closed state of the water injection valve of each state-changed spray equipment. The fault diagnosis unit diagnoses a fault in the spray equipment based on the unit error change amount held for each open / closed state of the water injection valve.

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

[0011] The third aspect has the following characteristics in addition to the first or second aspect: the unit error change amount holding unit is configured to integrate the unit temperature difference change amount for each open / closed state of the water injection valve of each spray equipment and to hold the integrated value, and the fault diagnosis unit is configured to diagnose a fault in the spray equipment based on the integrated value.

[0012] A fourth aspect has the following features in addition to the first or second aspect: 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 hold the smoothed value, and the fault diagnosis unit is configured to diagnose a fault in the spray equipment based on the smoothed value.

[0013] The fifth aspect has the following features in addition to the first or second aspect: 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 hold the moving average; and the fault diagnosis unit is configured to diagnose a fault in the spray equipment based on the moving average.

[0014] In the first aspect, a configuration is adopted in which the amount of change in error between two representative points within the same rolled material is calculated, and the amount of change in error is divided by the number of state-change spray equipment to obtain a unit temperature difference change amount, and the obtained amount of change in error is retained. This makes it possible to eliminate errors due to differences in the material and rolling conditions of the rolled material, which can cause noise in fault diagnosis. Therefore, according to the first aspect, fault diagnosis of spray equipment can be performed accurately even when the amount of temperature drop per spray equipment is small.

[0015] According to the second aspect, by calculating the predicted outlet temperature value using a cooling control device, the predicted outlet temperature value can be calculated with high accuracy, and the processing load on the spray equipment diagnostic device can be reduced.

[0016] According to the third aspect, it is possible to accurately diagnose a malfunction of the spray equipment based on the integrated value of the unit temperature difference change amount.

[0017] According to the fourth aspect, it is possible to accurately diagnose a malfunction of the spray equipment based on a value obtained by smoothing the unit temperature difference change amount. Moreover, there is no need to periodically reset the smoothed value, which is convenient.

[0018] According to the fifth aspect, it is possible to accurately diagnose a failure of a spray equipment based on the moving average of the unit temperature difference change. Moreover, since a predetermined number of unit error change amounts are added with the same weight, it is possible to diagnose a failure of a plurality of spray equipment based on the same criteria, regardless of the frequency of opening and closing. Furthermore, there is no need to periodically reset the moving average, making it easy to use.

[0019] Fig. 1 is a schematic diagram showing the configuration of a spray equipment diagnosis device according to an embodiment applied to a hot rolling line. Fig. 2 is a schematic diagram showing representative points set on a rolled material along the conveying direction of the rolled material. Fig. 3 is a schematic diagram showing a storage area in which an integrated value of unit temperature difference change amount is held. Fig. 4 is a diagram showing an example of the hardware configuration of a process control computer including a spray equipment diagnosis device. Fig. 5 is a schematic diagram showing the configuration of a spray equipment diagnosis device according to another embodiment.

[0020] Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings, taking as an example a case where the present disclosure is applied to a cooling device installed in a hot rolling line. Note that elements common to the various drawings are assigned the same reference numerals, and duplicated explanations will be omitted.

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

[0022] The hot rolling line 1 includes, as main rolling equipment, a rolling mill 2, a run-out table 3, a cooling device 4, and a coiler 5.

[0023] The rolling mill 2 rolls the rolled material Mr to a predetermined target thickness (product thickness). The rolling mill 2 includes at least one rolling stand 21. The rolling stand 21 includes 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 run-out table 3 has a plurality of table rolls 31 arranged side by side along the conveying direction of the rolled material Mr.

[0025] The cooling device 4 is attached to the run-out table 3. The cooling device 4 has a plurality of spray facilities 41. The plurality of spray facilities 41 are respectively arranged above and below the rolled material Mr. Each spray facility 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 from the header 412 onto the rolled material Mr. Opening and closing of the valve 411 is controlled by a cooling control device 8, which will be described later.

[0026] The number of spray facilities 41 is not particularly limited, but the present disclosure is suitably applied when 100 or more spray facilities 41 are installed and the amount of temperature drop per spray facility is small. The coiler 5 winds the rolled material Mr cooled by the cooling device 4 into a coil.

[0027] An entry-side thermometer 61 is arranged between the rolling mill 2 and the cooling device 4. That is, the entry-side thermometer 61 is arranged on the entry side of the cooling device 4. The entry-side thermometer 61 measures an entry-side temperature actual value FDT, which is the temperature of the rolled material Mr passing directly below it. Similarly, an exit-side thermometer 62 is arranged between the cooling device 4 and the coiler 5. That is, the exit-side thermometer 62 is arranged on the exit side of the cooling device 4. The exit-side thermometer 62 measures an exit-side temperature actual value CT, which is the temperature of the rolled material Mr passing directly below it.

[0028] The hot rolling line 1 is operated (commissioned) by a control system using a computer. The computer 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 an operation screen for an operator, 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 notifies the operator of any spray equipment 41 that has been diagnosed as having a malfunction, as described below.

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

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

[0031] The spray equipment diagnostic device 9 includes a performance 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] As a plurality of representative points set on the rolled material Mr pass through the cooling device 4, the result collection unit 91 collects result values ​​at the timing when each representative point passes the inlet thermometer 61, each spray equipment 41, and the outlet thermometer 62. Each representative point may be a strip-shaped range set along the conveying direction of the rolled material Mr as shown in FIG. 2, or may be a point. The result value is the inlet temperature result value FDT when each representative point passes the inlet thermometer 61, each spray equipment 41, and the outlet thermometer 62. ＡＣＴ , outlet temperature actual value CT ＡＣＴ, and the actual speed value V of the rolled material Mr. The actual speed value V may be measured by a speedometer (not shown), or may be calculated from the rotational speed and forward ratio of the final rolling stand 21 of the rolling mill 2. In addition to the above actual values, the record collection unit 91 further collects the open / close state ST of the valve 411 when each representative point passes through each spray equipment 41. The record collection unit 91 can collect the open / close state of the valve 411 taking into account the response delay between when the open / close state of the valve 411 changes and when water injection affects the rolled material Mr. The record collection unit 91 obtains information (actual results) about a plurality of representative points set over the entire length of the rolled material Mr, from when the front end of the rolled material Mr passes the entry-side thermometer 61 until the tail end of the rolled material Mr passes the exit-side thermometer 62.

[0033] The predicted value calculation unit 92 calculates the actual value FDT collected by the actual value collection unit 91. ＡＣＴ ,V,CT ＡＣＴ Based on this, the predicted outlet temperature value CT of each representative point ＣＡＬ Calculate (predict) the outlet temperature prediction value CT ＣＡＬ can be calculated taking into consideration information on the rolled material Mr (plate thickness, chemical composition, etc.). ＣＡＬ A learning function can be provided to improve the prediction accuracy of the outlet temperature prediction value CT at the representative point i. 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 (1), f1 is a physical calculation model, and FDT ｉ ＡＣＴ is the actual inlet temperature value of the representative point i, and V ｉｊ is the speed at the position j of each rolling equipment at the representative point i, and ST ｉｋ is the open / close state of the valve 411 at the position k of the spray equipment 41 at the representative point i. This type of physical calculation model f1 is well known, and therefore a detailed description thereof will be omitted here.

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

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

[0037] The unit error change amount storage unit 94 compares the open / closed states ST of the valve 411 at the two representative points i and i-1, and identifies the spray equipment 41 in which the open / closed state of the valve 411 has changed as the state-changed spray equipment. The unit error change amount storage unit 24 stores the unit error change amount ΔCT, which is the error change amount per state-changed spray equipment. ｉ ＯｎｅＥＲＲ The number of state change spray equipment 41 is calculated as N ｉ Then, the unit error change amount ΔCT ｉ ＯｎｅＥＲＲ is calculated by the following formula (4): ｉ ＯｎｅＥＲＲis the error change amount ΔCT ｉ ＥＲＲ The number N of state change spray equipment 41 ｉ It can be calculated by dividing by ΔCT i OneERR = ΔCT i ERR / N i ...(4)

[0038] The unit error change amount holding unit 94 stores the unit error change amount ΔCT i OneERR is integrated for each open / closed state (open / closed) of the valve 411 of each state-changing spray equipment 41. The integrated value CNT of each state-changing spray equipment z whose valve 411 has changed from the closed state to the open state at the representative point i is Ｚ ＴｏＯＰＥＮ On the other hand, the integrated value CNT of each state-changed spray equipment z in which the valve 411 changes from the open state to the closed state at the representative point i is Ｚ ＴｏＣＬＯＳＥ is expressed by the following formula (6): CNT Z ToOPEN = Σ(ΔCT i OneERR ) ... (5) CNT Z ToCLOSE = Σ(ΔCT i OneERR ) ... (6)

[0039] These integrated values ​​are held (stored) in, for example, a storage area 941 shown in FIG. ｉ ＯｎｅＥＲＲ 1 is a schematic diagram showing a storage area 941 in which the integrated value of the spray equipment 41 is held. The storage area 941 is configured by layer for the spray equipment 41 and the valve open / close state. The storage area 941 can be provided in, for example, the memory 72c described later.

[0040] Here, the case where two adjacent representative points i and i-1 are selected is described as an example, but the present invention is not limited to this. If the tracking accuracy of the data collection by the result collection unit 91 is insufficient, two representative points i and i-2 that are spaced apart 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 equipment 41 can be identified between any of the previous representative points, the unit error change amount ΔCT within the same rolling material Mr and under the same rolling conditions can be calculated. i OneERR can be accumulated.

[0042] Unit error change ΔCT i OneERR It is preferable to exclude data of representative points of unstable shape parts, such as tension-free parts at the front and rear ends of the rolled material Mr, from the integration. ＡＣＴ and the actual outlet temperature value CT ＡＣＴ If the data is determined to be abnormal, it is preferable to remove the data of the corresponding representative point and the data of representative points before and after the corresponding representative point.

[0043] The fault diagnosis unit 95 calculates the integrated value CNT of the unit error change amount. Ｚ ＴｏＯＰＥＮ , CNT Ｚ ＴｏＣＬＯＳＥ The spray equipment 41 having the integrated value CNT greater than the reference value is identified and diagnosed as faulty. Ｚ ＴｏＯＰＥＮ , CNT Ｚ ＴｏＣＬＯＳＥ The integrated value CNT can be maintained while rolling M rolled materials Mr (M is a natural number of 1 or more). Ｚ ＴｏＯＰＥＮ , CNT Ｚ ＴｏＣＬＯＳＥ can be reset when maintenance (replacement or repair) of the corresponding spray equipment 41 is performed.

[0044] If the failure diagnosis unit 95 diagnoses a failure, it notifies the operator by displaying the information on the interface screen 73 or another display, for example. The operator who receives the notification separates the spray equipment 41 diagnosed as having a failure from the control system to make it unavailable. Note that the failure diagnosis unit 95 may be configured to send information about the spray equipment 41 diagnosed as having a failure to the cooling control device 8, and the cooling control device 8 that receives the information automatically excludes the spray equipment 41 from use. This makes it possible to maintain the performance of the cooling control device 8 and accurately control the winding temperature.

[0045] The specific structure of the process control computer 72 is not limited, and may be as follows, for example. FIG. 4 is a diagram showing 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 FIG. 4. The functions of the process control computer 720, which will be described later, can also be realized by the processing circuit shown in FIG. 4. This processing circuit may be dedicated hardware 72a. This processing circuit may include a processor 72b and a memory 72c. This processing circuit may be partially formed as dedicated hardware 72a and further include a processor 72b and a memory 72c. In the example of FIG. 4, part of the processing circuit is formed as dedicated hardware 72a, and the processing circuit also includes a processor 72b and a memory 72c.

[0046] At least a portion 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 written 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 programs stored in the memory 72c. The processor 72b is also called a CPU (Central Processing Unit), central processing unit, processing device, arithmetic unit, microprocessor, microcomputer, or DSP. The memory 41c may be, for example, a non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, or EEPROM. In this way, the processing circuitry can realize the functions of the cooling control device 8 and the spray equipment diagnostic device 9 by means of hardware, software, firmware, or a combination thereof.

[0047] As described above, according to the present disclosure, the error CT between two representative points i and i-1 in the same rolled material Mr ｉ ＥＲＲ The change in the error (hereinafter also referred to as the "error change") ΔCT ｉ ＥＲＲ Calculate the error change amount ΔCT ｉ ＥＲＲ The number of state change spray equipment N ｉ The unit temperature difference change ΔCT is calculated by dividing ｉ ＯｎｅＥＲＲ This makes it possible to eliminate errors due to differences in the material of the rolled material Mr and the rolling conditions (rolling state), which can cause noise in the fault diagnosis. Therefore, even if the temperature drop per spray equipment is small, fault diagnosis of the spray equipment 41 can be performed with high accuracy.

[0048] Although the embodiments of the present disclosure have been described above, the present disclosure is not limited to the above embodiments and can be implemented in various modifications without departing from the spirit of the present disclosure. When the numbers, quantities, amounts, ranges, etc. of each element are mentioned in the above embodiments, the present invention is not limited to the mentioned numbers unless otherwise specified or clearly specified in principle. Furthermore, the structures, etc. described in the above embodiments are not necessarily essential to the present invention unless otherwise specified or clearly specified in principle.

[0049] In the above embodiment, the spray equipment failure is diagnosed based on the integrated value of the unit temperature difference change amount, but there are cases where the integrated value of spray equipment that opens and closes frequently increases faster than the integrated value of equipment that opens and closes less frequently. To avoid such a situation, it is necessary to periodically reset the integrated value.

[0050] Therefore, the unit error change amount storage unit 94 stores 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 The unit error change amount ΔCT of each state change spray equipment k when the valve 411 changes from the closed state to the open state at the representative point i can be smoothed. ｉ ＯｎｅＥＲＲ The smoothed value CNT ｋ ＴｏＯＰＥＮ On the other hand, the unit error change amount ΔCT of each state change spray equipment k in which the valve 411 changes from the open state to the closed state at the representative point i is ｉ ＯｎｅＥＲＲ The smoothed value CNT ｋ ＴｏＣＬＯＳＥ is expressed by the following equation (8): In the following equations (7) and (8), β is a 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 the smoothed values ​​in this manner, it is possible to perform accurate fault diagnosis of the spray equipment 41, as in the above embodiment. Moreover, there is no need to periodically reset the smoothed values, making it easy to use.

[0054] The unit error change amount storage unit 94 stores 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 The moving average of the unit error change amount ΔCT of each state change spray equipment k when the valve 411 changes from the closed state to the open state at the representative point i can be calculated. ｉ ＯｎｅＥＲＲ The moving average of is calculated by the following formula (9): On the other hand, the unit error change amount ΔCT of each state change spray equipment k where the valve 411 changes from the open state to the closed state at the representative point i ｉ ＯｎｅＥＲＲ The moving average of is expressed by the following formula (10): In the following formulas (9) and (10), N is the total number of data on the open / close state of the same spray equipment k, and M is the number of data used in the moving average.

[0055]

[0056] By using the moving average calculated in this way, it is possible to accurately diagnose a fault in the spray equipment 41, as in the above embodiment. Moreover, it is not affected by the opening and closing frequency, and the M pieces of data (unit error change amount ΔCT ｉ ＯｎｅＥＲＲ ) are added with the same weight, it is possible to perform a fault diagnosis of the spray equipment 41 based on the same criteria. Furthermore, there is no need to periodically reset the moving average, which is easy to use.

[0057] 5 is a schematic diagram showing the configuration of a spray equipment diagnostic device according to another embodiment. In this 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 with a single process computer 72 as in the above embodiment. As shown in FIG. 5, the cooling control device 8 determines the number of times the valve 411 is opened and closed based on the predicted outlet temperature value CT ＣＡＬ The outlet temperature predicted value CT ＣＡＬ Since the predicted value calculation unit 81 affects the quality of the steel sheet, it can be said that the predicted value calculation unit 81 has higher performance than the predicted value calculation unit 92. Furthermore, it is efficient in terms of development costs and maintenance costs.

[0058] The result collection unit 91 is configured to output the collected result values ​​of each representative point to the predicted value calculation unit 81. The predicted value calculation unit 81 calculates the outlet temperature predicted value CT using a known calculation model using the result values ​​of each representative point input from the result collection unit 91. ＣＡＬ The calculated outlet temperature prediction value CT ＣＡＬ The output temperature prediction value CT is output to the error change amount calculation unit 93. ＣＡＬ The cooling control device 8 calculates the outlet temperature prediction value CT ＣＡＬ Furthermore, when the cooling control device 8 and the spray equipment diagnosis device 9 are executed by separate process computers 72, 720, the processing load of the spray equipment diagnosis device 9 can be reduced.

[0059] In the above embodiment, the predicted value calculation unit 92 calculates the outlet temperature predicted value CT using a physical calculation model. ＣＡＬ However, the present invention is not limited to this, and for example, machine learning (neural network) is used to calculate the outlet temperature prediction value CT ＣＡＬ You can also get the following.

[0060] 1...hot rolling line, 2...rolling mill, 21...rolling stand, 3...run-out table, 31...table roll, 4...cooling device, 41...spray equipment, 411...water injection valve, 412...water injection header, 5...coiler, 61...entry thermometer, 62...exit 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 diagnosis device, 91...performance collection unit, 92...prediction 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 device arranged along the conveying direction of rolled material, each spray equipment having a water injection valve controlled to open and close by a cooling control device, comprising: a result collection unit that collects actual values ​​including the actual inlet temperature value, actual outlet temperature value, and actual speed value of the rolled material of the cooling device when multiple representative points set along the conveying direction of the rolled material pass through the cooling device, and the open / close state of the water injection valve of each spray equipment; a predicted value calculation unit that calculates a predicted outlet temperature value of the cooling device at each representative point using the actual values ​​of each representative point; and an error change amount calculation unit that calculates the error between the actual outlet temperature value and the predicted outlet temperature value at each representative point, selects two representative points from the multiple representative points, and calculates the amount of change in the error between the two representative points. a unit error change amount holding unit that identifies spray equipment in which the open / close state of the water injection valve has changed between the two representative points as state-change spray equipment, calculates the unit error change amount, which is the amount of change per state-change spray equipment, and holds the unit error change amount for each open / close state of the water injection valve of each state-change spray equipment; and a fault diagnosis unit that diagnoses a fault in the spray equipment based on the unit error change amount held for each open / close state of the water injection valve.

2. A spray equipment diagnostic device according to claim 1, wherein the predicted value calculation unit is provided in the cooling control device, the performance collection unit is configured to output the collected performance values ​​of each representative point to the predicted value calculation unit, and the predicted value calculation unit is configured to calculate the outlet temperature predicted value using the performance values ​​of each representative point input from the performance collection unit, and to output the calculated outlet temperature predicted value to the error change amount calculation unit.

3. A spray equipment diagnostic device according to claim 1 or 2, wherein 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 hold the accumulated value, and the fault diagnosis unit is configured to diagnose a fault in the spray equipment based on the accumulated value.

4. A spray equipment diagnostic device according to claim 1 or claim 2, wherein 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 hold the smoothed value, and the fault diagnosis unit is configured to diagnose a fault in the spray equipment based on the smoothed value.

5. A spray equipment diagnostic device according to claim 1 or claim 2, wherein 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 hold the moving average, and the fault diagnosis unit is configured to diagnose a fault in the spray equipment based on the moving average.

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