Processing device, processing method, and program

Abstract

To accurately specify the timing at which the discharge of an object in a container is completed.SOLUTION: A processing device 100 derives a discharge time of an estimation target object based on a result of comparison between first time-series data and second time-series data. The first time-series data and the second time-series data are time-series data of a measured value or a calculated value of a predetermined physical quantity that changes according to the progress of discharge of the object from a discharge port. The first time-series data is time-series data for the estimation target object. On the other hand, the second time-series data is time-series data obtained before the first time-series data is acquired. An actual value of the discharge time is associated with the second time-series data. The discharge time of the estimation target object is defined as the time from a reference timing to a discharge end timing of the object from the discharge port. The comparison between the first time-series data and the second time-series data is performed for the same time zone based on the reference timing.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a processing device, a processing method, and a program, and is particularly suitable for use in an operation for discharging objects in a vessel to the outside of a furnace. [Background technology]

[0002] An example of a vessel in which objects inside are discharged to the outside through a discharge port is a blast furnace. In a blast furnace, objects including molten iron are discharged from the tap hole (so-called tapping) by opening a mud material filled in the tap hole. In such industrial furnaces, it is desirable to estimate the timing at which the discharge of objects inside the furnace will be completed in order to prevent operational troubles and facilitate smooth operation. Examples of this type of technology include the technologies described in Patent Documents 1 and 2.

[0003] Patent Document 1 discloses a method for estimating the state inside the furnace using the current state of the tapping slag, current and past operating data, the state of the tapping hole, history, etc., according to rules consisting of "IF-THEN," and predicting the end time of tapping based on the estimated state inside the furnace.

[0004] Patent Document 2 also describes predicting the timing of the end of tapping as follows. First, a tapping speed pattern that is closest to the information of the metal rods and drill bits (diameter and number of bits used) used to open the tap hole is selected, and the selected tapping speed pattern is divided into three sections, and the maximum tapping speed in each section is set as the tapping speed at the end of the section. Then, starting from the current tapping speed, the tapping speeds at the end of each section are successively connected by straight lines to set the predicted tapping speed. Based on this predicted tapping speed, a predicted value of the amount of tapping from the current time to time t is derived, and added to the amount of tapping from the start of tapping to the current time. The time t at which the predicted value of the amount of tapping from the start of tapping to time t obtained in this way becomes equal to the amount of molten iron that can be tapped from the start of tapping to time t is derived as the time until the end of tapping. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 7-150201 [Patent Document 2] Japanese Patent Application Publication No. 8-302406 Summary of the Invention [Problem to be solved by the invention]

[0006] However, in the technology described in Patent Document 1, the state inside the furnace is estimated by rules consisting of "IF-THEN". Therefore, the prediction accuracy of the tapping end time depends on the rules (process) consisting of "IF-THEN". There are various operation patterns in a blast furnace. In addition, the configuration and state of the furnace are also various. Therefore, it is not easy to create rules that improve the prediction accuracy of the tapping end time by assuming various cases. Therefore, it is not easy to improve the prediction accuracy of the tapping end time.

[0007] In addition, in the technology described in Patent Document 2, the tapping speed pattern that is closest to the information of the metal rod and drill bit used to open the tap hole (diameter and number of bits used) is selected. Therefore, the accuracy of the time until the end of tapping depends on the accuracy of the selected tapping speed pattern. As described above, there are various operation patterns in a blast furnace. In addition, the configuration and state of the furnace are also various. Therefore, it is not easy to prepare a large number of tapping speed patterns, as will be described later, in order to predict the accuracy of the time until the end of tapping. In addition, in the technology described in Patent Document 2, the period from the start of tapping is divided into multiple sections, and the maximum tapping speed of each section in the tapping speed pattern is set as the tapping speed at the end of the section. Furthermore, starting from the tapping speed at the time, the tapping speeds at the end of each section are successively connected by straight lines to form the predicted value of the tapping speed. In addition, when deriving the amount of molten iron that can be tapped, the product of the amount of charge, the ore ratio, and the ratio of the charge that descends in the furnace and melts is calculated as the amount of molten iron produced. As described above, in the technology described in Patent Document 2, various assumptions must be made to derive the time until the end of tapping. Therefore, it is not easy to improve the accuracy of prediction of the time until the end of tapping.

[0008] As described above, with the techniques described in Patent Documents 1 and 2, it is not easy to accurately determine when the discharge of objects from within a container will be completed. The present invention has been made in consideration of the above problems, and has an object to accurately determine when the discharge of objects from a container will be completed. [Means for solving the problem]

[0009] The processing device of the present invention is a processing device that performs processing to derive the time from a reference timing to the timing when the object is finished being discharged from the discharge port of a container as the discharge time of the object from the discharge port, and is equipped with an acquisition means that acquires first time series data, which is time series data of measured or calculated values ​​of a predetermined physical quantity that changes according to the progress of discharge of the object from the discharge port, for an object for which the discharge time is to be estimated, a comparison means that compares the first time series data with second time series data, which is time series data obtained before the first time series data is acquired as time series data of measured or calculated values ​​of the predetermined physical quantity, and which is time series data to which an actual value of the discharge time is associated, and a derivation means that derives the discharge time of the object for which estimation is to be performed based on a result of the comparison by the comparison means, and the comparison means compares the first time series data with the second time series data for a time period having the same time period based on the reference timing.

[0010] The processing method of the present invention is a processing method for performing processing to derive the time from a reference timing to the timing at which the object is finished being discharged from the discharge port of a container as the discharge time of the object from the discharge port, and includes an acquisition step of acquiring first time series data which is time series data of measured or calculated values ​​of a predetermined physical quantity that changes according to the progress of discharge of the object from the discharge port, for an object for which the discharge time is to be estimated; a comparison step of comparing the first time series data with second time series data which is time series data obtained before the first time series data is acquired as time series data of measured or calculated values ​​of the predetermined physical quantity, and which is time series data to which an actual value of the discharge time is associated; and a derivation step of deriving the discharge time of the object for which the estimation is to be performed based on a result of the comparison step, wherein the comparison step compares the first time series data with the second time series data in a time zone having the same time zone based on the reference timing.

[0011] The program of the present invention causes a computer to function as each of the means of the processing device. Effect of the Invention

[0012] According to the present invention, it is possible to accurately determine when the discharge of objects from a container will be completed. [Brief description of the drawings]

[0013] [Figure 1] FIG. 2 illustrates an example of a functional configuration of a processing device. [Diagram 2] FIG. 1 is a diagram illustrating an example of a method for measuring the molten iron and slag levels. [Diagram 3] FIG. 4 is a diagram illustrating an example of a process for comparing first time series data and the second time series data. [Figure 4] FIG. 4 is a diagram showing an example of a display screen. [Diagram 5] 11 is a flowchart illustrating an example of a processing method. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0014] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Note that the fact that the length, position, size, interval, and other aspects of a comparison are the same includes not only cases where the comparison is strictly the same, but also cases where the comparison is different within the scope of the invention (for example, cases where the comparison is different within the range of tolerances determined at the time of design).

[0015] [Processing device 100] 1 is a diagram showing an example of a functional configuration of a processing device 100. The hardware of the processing device 100 has, for example, one or more hardware processors such as a CPU (Central Processing Unit), one or more memories such as a RAM (Random Access Memory) and a ROM (Read Only Memory), and executes various operations by executing one or more programs stored in the memory by the one or more hardware processors. Furthermore, the hardware of the processing device 100 has an input device and an output device. Moreover, the processing device 100 may be realized by dedicated hardware such as an ASIC (Application Specific Integrated Circuit).

[0016] The processing device 100 performs a process of deriving the discharge time of the object from the discharge port in the vessel. In this embodiment, the case where the discharge time is the time from the discharge start timing of the object to the discharge end timing is exemplified. However, the discharge time is not limited to such a time as long as it is the time from the reference timing to the discharge end timing of the object. For example, the discharge time may be the time from the current time (the derivation time of the discharge time) to the discharge end timing of the object. Note that the reference timing may be a timing after the discharge start timing of the object, or may be a timing before the discharge start timing of the object. In addition, the processing device 100 may derive the discharge end timing based on at least one of the tapping start timing of the object and the current time, and the discharge time. In addition, in this embodiment, the case where the discharge time of the object from the discharge port is derived when the object is being discharged (a timing after the discharge start timing and before the discharge end timing) is exemplified. However, it is not necessarily required to do so. For example, the discharge time of the object may be derived retroactively after the discharge of the object is completed.

[0017] The discharge start timing and discharge end timing may be timings that are predetermined in a factory equipped with a furnace. For example, the discharge start timing may be the timing at which discharge work from the discharge port (e.g., work to open the discharge port) starts, or the timing at which objects start to be discharged from the discharge port. Similarly, the discharge end timing may be the timing at which discharge work from the discharge port (e.g., work to close the discharge port) ends, or the timing at which objects stop being discharged from the discharge port.

[0018] In this embodiment, a blast furnace is exemplified as the vessel. The blast furnace is a process in which iron ore, coke, etc. are charged, the coke is burned with hot air blown from a tuyere, the iron ore is reduced and melted with the generated gas, and molten iron is taken out from a tap hole. A case in which the discharge port is a tap hole and the discharge time is the tapping time is exemplified. In this case, however, the vessel is not limited to a blast furnace, and the discharge port is not limited to a tap hole. For example, the vessel may be a furnace other than a blast furnace such as a cupola or a converter (for example, an industrial furnace) or a vessel other than a furnace (for example, a silo), and the discharge port may be a slag discharge port.

[0019] In the present embodiment, the processing device 100 in FIG. 1 includes an acquisition unit 110, a storage unit 120, a comparison unit 130, a derivation unit 140, and an output unit 150. <Acquisition part 110> The acquiring unit 110 acquires the first time series data. In this embodiment, the case where the acquiring unit 110 acquires the first time series data while the object is being discharged is illustrated (note that, as described above, this is not necessary when the discharge time of the object is derived after the fact). The first time series data is time series data of measured values ​​or calculated values ​​of a predetermined physical quantity that changes according to the progress of discharge of the object of the discharge time estimation target (prediction target in this embodiment) from the discharge port. In this embodiment, the case where the first time series data is time series data of measured values ​​of the predetermined physical quantity is illustrated. In the following description, the object of the discharge time estimation target is referred to as the estimation target object as necessary. In addition, in this embodiment, the case where the predetermined physical quantity is the height position of the surface of the molten iron and molten slag in the furnace is illustrated. In the following description, the height position of the surface of the molten iron and molten slag in the furnace is referred to as the molten iron and slag level as necessary.

[0020] Figure 2 is a diagram for explaining an example of a method for measuring the molten iron and slag levels. Note that in Figure 2, only the parts necessary for the explanation are shown in a simplified form as necessary. FIG. 2(a) is a view showing a state of a blast furnace body seen through from above. FIG. 2(a) illustrates a case where the blast furnace body has two tap holes 210a-210b. FIG. 2(a) illustrates a case where the tap holes 210a-210b are arranged so as to face each other through the center line 0 of the blast furnace body. In the following description, when the tap holes 210a-210b are not distinguished from each other, they are referred to as the tap hole 210 as necessary. In addition, the number of tap holes 210 is not limited to two, and may be one or three or more.

[0021] In FIG. 2(a), in this embodiment, the case where electrode pairs 220a-220d including two electrodes, a positive electrode and a negative electrode, are attached to the iron shell 230 installed on the surface of the blast furnace body is illustrated. The iron shell 230 is installed on the surface of the refractory brick 250. Also, in FIG. 2(a), the case where the electrode pairs 220a and 220b are installed so that the positions of the electrode pairs 220a and 220b in the direction around the center line 0 of the blast furnace body are positions near the positions of the tap holes 210a and 210b in the direction around the center line 0 of the blast furnace body is illustrated. Although not illustrated for convenience of notation, in this embodiment, the case where one or more electrode pairs 220 are installed near the installation positions of the electrode pairs 220a-220d is illustrated. In the following description, when the electrode pairs 220a-220d are not distinguished, they are referred to as the electrode pairs 220 as necessary. The number of the electrode pairs 220 may be one or more.

[0022] FIG. 2(b) is a diagram showing an example of a cross section near the tap hole 210 when the blast furnace body is cut along the center line 0 shown in FIG. 2(a) so as to pass through the center of gravity of the tap hole 210. FIG. 2(b) illustrates a case where the electrode pair 220 includes a positive electrode 221 and a negative electrode 222. FIG. 2(b) also illustrates a case where the positive electrode 221 and the negative electrode 222 are installed below and above the tap hole 210, respectively. More specifically, FIG. 2(b) illustrates a case where the positive electrode 221 is installed near the bottom (hearth) of the side of the blast furnace body. FIG. 2(b) also illustrates a case where the negative electrode 222 is installed below the tuyere 240 and near the tuyere 240.

[0023] The voltage measuring device 200 measures the potential difference between the electrode pair 220 (the positive electrode 221 and the negative electrode 222). A positive potential, 0 (zero), or a negative potential occurs at the positive electrode 221 and the negative electrode 222, respectively. The potential difference of the electrode pair 220 is represented by a value obtained by subtracting the potential of the negative electrode 222 from the potential of the positive electrode 221. The voltage measuring device 200 measures the potential difference of each electrode pair 220 for each electrode pair 220. The potential difference of the electrode pair 220 indicates a value corresponding to the molten iron / slag level H, and the larger the potential difference of the electrode pair 220, the higher the molten iron / slag level H. Therefore, the molten iron / slag level H is measured by measuring the potential difference of the electrode pair 220.

[0024] In addition, Fig. 2(b) illustrates a case where the tap hole 210 is open and the inside of the furnace communicates with the outside of the furnace through the hole 211. When tapping, for example, the mud material filled in the tap hole 210 is removed using a drill or the like to form the hole 211. This opens the tap hole 210. Also, for example, the hole 211 is filled with mud material to close the hole 211. This closes the tap hole 210.

[0025] In this embodiment, a case is exemplified in which the voltage measuring device 200 repeatedly transmits information indicating the potential difference of the electrode pair 220, which enables the processing device 100 to identify which electrode pair 220 the electrode pair 220 is, and the timing of measuring the potential difference, to the processing device 100. For example, the voltage measuring device 200 may transmit the information indicating the potential difference of the electrode pair 220 to the processing device 100 together with identification information of the electrode pair 220 and information indicating the time of measuring the potential difference.

[0026] Moreover, in this embodiment, a case is illustrated in which the voltage measuring device 200 repeatedly transmits information indicating the potential difference between the electrode pairs 220 to the processing device 100 at a predetermined period. Moreover, in this embodiment, a case is illustrated in which information indicating the potential differences between all of the electrode pairs 220 is transmitted to the processing device 100 within one period.

[0027] The communication between the voltage measuring device 200 and the processing device 100 may be wired communication or wireless communication. Information indicating the potential difference of the electrode pair 220 may be transmitted to the processing device 100 via a device external to the voltage measuring device 200 (for example, a communication device connected to the voltage measuring device 200).

[0028] As described above, in this embodiment, a case where one or more electrode pairs 220 are installed near the installation positions of the electrode pairs 220a to 220d is illustrated. In this case, the acquisition unit 110 may derive, as one first time-series data, time-series data of a representative value (e.g., an arithmetic mean value of the measurement values ​​at the same time) of the measurement value of the potential difference of the electrode pair 220a and the measurement values ​​of one or more electrode pairs 220 installed near the installation position of the electrode pair 220a. This is the same for the other electrode pairs 220b to 220d.

[0029] In the present embodiment, a case will be illustrated in which the acquiring section 110 acquires, as an example of the first time series data, time series data of the measured value of the potential difference between the electrode pair 220 as described above. However, the first time series data is not limited to such time series data.

[0030] For example, the predetermined physical quantity that changes with the progress of the discharge of the object from the discharge port may be the molten iron temperature or the tapping speed. Also, the predetermined physical quantity that changes with the progress of the discharge of the object from the discharge port may be the mixture ratio (e.g., weight ratio) of the molten iron and the molten slag in the tapping flow (a mixture of the molten iron and the molten slag flowing from the tapping port 210 toward the tapping runner). As described in JP 2007-246959 A, the mixture ratio of the molten iron and the molten slag in the tapping flow may be measured based on a photographed image of the tapping flow.

[0031] Furthermore, a predetermined physical quantity that changes according to the progress of the discharge of the object from the discharge port may be used as a target variable, and a machine learning model or a physics model may be used to derive the time transition of the predetermined physical quantity, whereby time series data of a calculated value of the predetermined physical quantity (for example, the amount of stored iron and slag (estimated amount of molten iron and slag in the furnace) calculated based on the tapping rate and charging amount, etc.) may be derived as the first time series data. In this case, the acquisition unit 110 may acquire the first time series data derived by an external device, or the acquisition unit 110 may acquire the first time series data by deriving it.

[0032] As described above, the first time series data is not limited to time series data of the measured values ​​of the potential difference between electrode pair 220. However, in the following explanation, as necessary, the time series data of the measured values ​​of the potential difference between electrode pair 220 will be referred to as the first time series data.

[0033] In addition, in this embodiment, the acquisition unit 110 determines to adopt the first time series data composed of data (measured values ​​of the potential difference between the electrode pair 220 in this embodiment) when the data constituting the first time series data satisfies a predetermined data adoption condition, and determines not to adopt the first time series data composed of the data when the data does not satisfy the predetermined data adoption condition. For example, when the data constituting the first time series data is repeatedly acquired at a predetermined period, the predetermined data adoption condition is a condition that the number of data that can be acquired as data constituting the first time series data is a predetermined number (or a predetermined ratio) or more. In addition, the data adoption condition may be a condition based on the operating conditions of the blast furnace. For example, the data adoption condition may be a condition that the data constituting the first time series data is not data at the 1st to Xth tapping times counted from the start of blasting (X is a positive integer). In addition, for example, the data adoption condition may be a condition that the data constituting the first time series data is not data at the time of tapping when the number of remaining tapping times until the start of blasting is 1 to Y (Y is a positive integer).

[0034] In the comparison unit 130 described later, a case will be exemplified in which the first time series data that satisfies the data adoption condition as described above is used from among the first time series data acquired by the acquisition unit 110 (a case in which the first time series data that does not satisfy the data adoption condition is not used in the comparison unit 130). Note that the acquisition unit 110 may discard the first time series data that does not satisfy the data adoption condition.

[0035] Moreover, in this embodiment, a case is exemplified where the acquiring unit 110 acquires second time series data in addition to the first time series data. Moreover, in this embodiment, a case is exemplified where the acquiring unit 110 acquires the second time series data before acquiring the first time series data. The second time series data is associated with an actual value of the discharge time. The actual value of the discharge time associated with the second time series data is, for example, the actual value of the discharge time at the time when the second time series data is acquired.

[0036] Moreover, the predetermined physical quantity indicated by the data constituting the first time series data and the second time series data is the same physical quantity. In this embodiment, the first time series data is time series data of the potential difference of the electrode pair 220. Therefore, in this embodiment, the second time series data is also time series data of the potential difference of the electrode pair 220. In addition, when the first time series data is time series data of measured values, it is preferable that the second time series data is also time series data of measured values. Similarly, when the first time series data is time series data of calculated values, it is preferable that the second time series data is also time series data of calculated values. In addition, when the first time series data is a representative value of measured values ​​or calculated values ​​at multiple positions in the vicinity, it is preferable that the second time series data is also a representative value of measured values ​​or calculated values ​​at the multiple positions. As described above, the second time series data is not limited to time series data of the measured values ​​of the potential difference between electrode pair 220. However, in the following explanation, as necessary, the time series data of the measured values ​​of the potential difference between electrode pair 220 will be referred to as the second time series data.

[0037] In addition, in this embodiment, the case where the acquisition unit 110 acquires operation identification information for identifying which discharge operation (tapping of pig iron in this embodiment) each piece of data at each time constituting the first time series data and the second time series data (each piece of data at each time of the measured potential difference of the electrode pair 220) corresponds to. For example, the operation identification information includes information for identifying which tapping of pig iron occurs for each furnace on each day.

[0038] In addition, in this embodiment, a case where the acquisition unit 110 acquires a tapping schedule is illustrated. The tapping schedule includes information for identifying, for example, which tapping time on the implementation date each tapping occurs, which taphole 210 the tapping occurs from, and whether the tapping occurs during non-steady operation. The tapping schedule may also include the planned start time of each tapping.

[0039] The non-steady operation refers to, for example, an operation immediately after blasting and immediately before blasting shutdown. In this embodiment, a case where the operation identification information is used to determine whether or not to adopt the first time-series data described above is illustrated. For example, it is assumed that a schedule is set for each day as to which tapping operation is the last tapping operation performed before the start of blasting shutdown and which tapping operation is the first tapping operation performed after the start of blasting. In this case, the acquisition unit 110 can determine whether or not the tapping operation identified by the operation identification information satisfies the above-mentioned data adoption condition by referring to the tapping schedule. The operation identification information may include operation and equipment trouble information.

[0040] Further, in this embodiment, a case will be illustrated in which the acquisition unit 110 acquires actual discharge time information indicating the actual discharge time of the discharge work (tapping iron in this embodiment) identified by the operation identification information.

[0041] When the first time series data is not used as the second time series data (past data), the discharge time result information for the first time series data may not be acquired by the acquisition unit 110. However, when the first time series data is used as the second time series data (past data), the acquisition unit 110 may acquire the discharge time result information for the first time series data. For example, when the discharge time result information for the first time series data is obtained by the end of tapping identified by the operation identification information for the first time series data, the acquisition unit 110 may acquire the discharge time result information.

[0042] The acquiring unit 110 may acquire the operation identification information, the discharge time record information, and the schedule, for example, based on an input operation by an operator to an input device provided in the processing device 100. Also, for example, the acquiring unit 110 may acquire the operation identification information, the discharge time record information, and the schedule by receiving them from an external device. Also, for example, the acquiring unit 110 may acquire the operation identification information, the discharge time record information, and the schedule by reading them out from an external storage device.

[0043] <Storage section 120> In this embodiment, the memory unit 120 stores the second time series data acquired by the acquisition unit 110, operation identification information for identifying which discharge operation (tapping iron in this embodiment) the data of each time constituting the second time series data (each time data of the measured potential difference of the electrode pair 220) corresponds to, and discharge time actual information indicating the actual discharge time in the discharge operation, in association with each other. Also, in this embodiment, the memory unit 120 includes a non-volatile memory. Therefore, in this embodiment, the information stored by the memory unit 120 is not erased even when the power supply of the processing device 100 is turned off.

[0044] As described above, when the acquisition unit 110 acquires the discharge time record information for the first time series data by completing the discharge work (tapping iron in this embodiment) identified by the operation identification information for the first time series data, the storage unit 120 may store the first time series data as second time series data, in association with the operation identification information and the discharge time record information for the first time series data. At the timing when the information associated with each other is stored in the storage unit 120, the processing of the comparison unit 130, the derivation unit 140, and the output unit 150 described later using the first time series data stored as the second time series data in the information has been completed. That is, after the processing of the comparison unit 130, the derivation unit 140, and the output unit 150 using the first time series data is completed, the first time series data is used as past time series data.

[0045] <Comparison unit 130> The comparison unit 130 compares the first time series data and the second time series data. In this embodiment, the comparison unit 130 compares the first time series data and the second time series data when the object is being discharged (this does not have to be done if the object discharge time is derived after the fact as described above). The time period for comparing the first time series data and the second time series data may be a time period after the reference timing (e.g., the discharge start timing) and before the discharge end timing. The comparison of the first time series data and the second time series data is performed in the same time period based on the reference timing (e.g., the discharge start timing). For example, if the time elapsed from the discharge start timing in the first time series data is t A ~t B The data in the time period of t and the second time series data in which the elapsed time from the start of discharge is t A ~t BThe present embodiment also illustrates a case where the comparison unit 130 compares the first time series data and the second time series data in each of two or more time periods after the discharge start timing. In this case, the end timings of these two or more time periods are different from each other. This is preferable because the comparison of the first time series data and the second time series data can be performed in stages. The present embodiment also illustrates a case where the start timings of these two or more time periods are the same. This is more preferable because the later the discharge operation (tapping iron in this embodiment) is, the longer the time period for comparing the first time series data and the second time series data.

[0046] An example of a process for comparing the first time series data and the second time series data will be described with reference to FIG. In Fig. 3, the potential difference is the potential difference between the electrode pair 220. The time is the elapsed time assuming that the timing of the start of tapping is 0 (zero). Note that [-] on the vertical and horizontal axes of Fig. 3 indicates that the potential difference and time are dimensionless quantities.

[0047] FIG. 3 illustrates an example in which the comparison unit 130 starts a process for comparing the first time series data 310 with each of the second time series data 320a-320d at a timing when a time t0 has elapsed from the tapping start timing. Each of the second time series data 320a-320d is time series data of the measured value of the potential difference of one electrode pair 220. Each of the second time series data 320a-320d may be time series data of a representative value of the measured value of the potential difference of a plurality of electrode pairs 220 in the vicinity. In the following description, the time t0 is referred to as the comparison start timing t0 as necessary. The comparison start timing t0 may coincide with the tapping start timing, but is preferably set to a time after the tapping start timing based on, for example, the time required for the tapping flow to stabilize. The comparison start timing t0 is stored in the processing device 100 in advance.

[0048] In addition, in this embodiment, the first time series data 310 and the second time series data 320a to 320d to be compared with the first time series data 310 are time series data for objects (molten iron and molten slag) discharged from the same taphole 210. In this embodiment, the comparison unit 130 identifies the first time series data 310 and the second time series data 320a to 320d as time series data for objects discharged from the same taphole 210 based on the operation identification information acquired by the acquisition unit 110. In the following description, when the second time series data 320a to 320d are not distinguished from each other, they are referred to as the second time series data 320 as necessary.

[0049] 3 illustrates an example in which the comparison unit 130 compares the first time series data 310 with the second time series data 320a-320d at each of the times t1-t5 elapsed from the tapping start timing. In the following description, the times t1-t5 are referred to as comparison timings as necessary. The comparison timings t1-t5 are determined, for example, according to the timings at which the derived results of the discharge time are notified to an operator. The comparison timings t1-t5 are stored in advance in the processing device 100.

[0050] 3 illustrates an example in which the comparison unit 130 compares the first time series data 310 and the second time series data 320a-320d in each of five time periods ΔT1-ΔT5 from the comparison start timing t0 to the comparison timings t1-t5. Therefore, as described above, the later the tapping process, the longer the time periods ΔT1-ΔT5 during which the first time series data 310 and the second time series data 320a-320d are compared.

[0051] For example, when the first time series data 310 and the second time series data 320 are compared in the time period ΔT1, the second time series data 320 that is closest to the first time series data 310 is time series data 320c. When the first time series data 310 and the second time series data 320 are compared in the time period ΔT3, the second time series data 320 that is closest to the first time series data 310 is time series data 320d. In this manner, the second time series data 320 that is similar to the first time series data 310 may change depending on the time periods ΔT1 to ΔT5 in which the first time series data 310 and the second time series data 320 are compared. In the following description, when the time periods ΔT1 to ΔT5 are not distinguished, the time periods ΔT1 to ΔT5 are referred to as time periods ΔT as necessary.

[0052] Therefore, in this embodiment, in order to quantitatively evaluate the second time series data 320 similar to the first time series data 310, the comparison unit 130 derives the similarity of each of the second time series data 320a-320d to the first time series data 310, and compares the first time series data 310 and the second time series data 320a-320d. The similarity is expressed, for example, by treating each of the first time series data 310 and the second time series data 320 as a vector (for example, a vector with a dimension equal to the number of data of the first time series data 310 and the second time series data 320) and expressing it as the Euclidean distance between these two vectors (data). In this case, the second time series data 320 having a smaller Euclidean distance indicates a higher similarity to the first time series data 310. Note that the similarity is not limited to the Euclidean distance as long as it is an index value for evaluating the degree of similarity. For example, the similarity may be the sum of absolute values ​​of differences between the first time series data 310 and the second time series data 320 when each of the data is treated as a vector, or a cosine similarity (a value obtained by dividing the inner product of the two vectors by the magnitudes of the two vectors). In this case, the second time series data 320 with a smaller sum of absolute values ​​of differences between the two vectors or a smaller cosine similarity indicates a higher similarity to the first time series data 310.

[0053] <Derivation part 140> The derivation unit 140 derives (estimates) the discharge time of the estimation target object based on the result of the comparison between the first time series data 310 and the second time series data 320 by the comparison unit 130. In this embodiment, the derivation unit 140 derives an estimated value and an estimated range of the discharge time of the estimation target object. However, this is not necessarily required. For example, the derivation unit 140 may derive only an estimated value of the discharge time of the estimation target object, or may derive only an estimated range of the discharge time of the estimation target object. The derivation unit 140 may derive one estimated value as the estimated value of the discharge time of the estimation target object, or may derive multiple estimated values. The derivation unit 140 may derive one estimated range as the estimated range of the discharge time of the estimation target object, or may derive multiple estimated ranges.

[0054] As described above, in this embodiment, the comparison unit 130 compares the first time series data and the second time series data in each of two or more time periods after the discharge start timing. Therefore, in this embodiment, the comparison unit 130 compares the first time series data 310 and the second time series data 320 in one of the two or more time periods, and the derivation unit 140 derives the discharge time of the estimation target object based on the result of the comparison. For example, in FIG. 3, when the comparison unit 130 compares the first time series data 310 and the second time series data 320 in the time period ΔT1, the derivation unit 140 derives the discharge time of the estimation target object based on the result of the comparison. Similarly, when the comparison unit 130 compares the second time series data 320 with the first time series data 310 in the time periods ΔT2, ΔT3, ΔT4, and ΔT5, the derivation unit 140 derives the discharge time of the estimation target object based on the result of the comparison.

[0055] As described above, the present embodiment illustrates a case in which the comparison unit 130 compares the first time series data 310 and the second time series data 320a-320d by deriving the similarity of each of the second time series data 320a-320d to the first time series data 310. Therefore, the present embodiment illustrates a case in which the derivation unit 140 selects one or more of the multiple second time series data 320 based on the similarity derived by the comparison unit 130, and derives the ejection time of the estimation target object based on the actual value of the ejection time associated with the selected second time series data 320.

[0056] As described above, in this embodiment, the derivation unit 140 derives an estimated value of the discharge time of the estimation target object. For example, the derivation unit 140 may select the second time series data 320 having the highest similarity among the similarities of the second time series data 320a to 320d to the first time series data 310, and may set the discharge time (tapping time in this embodiment) represented by the discharge time result information associated with the selected second time series data 320 as the estimated value of the discharge time of the estimation target object. Also, for example, the derivation unit 140 may select a plurality of second time series data 320 having a high similarity to the first time series data 310, and may set each of the discharge times (tapping time in this embodiment) represented by the discharge time result information associated with the selected plurality of second time series data 320 as the estimated value of the discharge time of the estimation target object. In addition, the derivation unit 140 may take a representative value (e.g., a statistical value such as an average value, a mode value, or a median value) of the discharge time represented by the discharge time actual information associated with these multiple second time series data 320 as an estimate of the discharge time of the object to be estimated.

[0057] In the example shown in Fig. 3, the derivation unit 140 derives an estimated value of the discharge time of the estimation target object as described above using the similarity in each of the five time periods ΔT1 to ΔT5. For example, the derivation unit 140 derives an estimated value of the discharge time of the estimation target object as described above using the similarity of the second time series data 320 to the first time series data 310 in the time period ΔT1. Similarly, the derivation unit 140 derives an estimated value of the discharge time of the estimation target object as described above using the similarity of the second time series data 320 to the first time series data 310 in the time periods ΔT2, ΔT3, ΔT4, and ΔT5. Note that a single estimated value may be derived as the estimated value of the discharge time of the estimation target object based on the estimated value of the discharge time of the estimation target object derived in each of the time periods ΔT1 to ΔT5 as described above. For example, a representative value (for example, a statistical value such as an average value, a mode value, or a median value) of the estimated values ​​of the ejection time of the object to be estimated derived in each of the time periods ΔT1 to ΔT5 may be calculated. Also, a weighted average value (weighted average value) of the estimated values ​​of the ejection time of the object to be estimated derived in each of the time periods ΔT1 to ΔT5 may be calculated. In this case, for example, the later the end timing of a time period, the higher the importance (the larger the value of the weighting coefficient).

[0058] In addition, in this embodiment, a case is illustrated in which the derivation unit 140 derives an estimation range of the ejection time of the object to be estimated. As long as the minimum and maximum values ​​of the ejection time of the object to be estimated can be determined, the method of deriving the estimation range is not limited.

[0059] For example, the derivation unit 140 may select a plurality of second time series data 320 having a high similarity among the similarities of the second time series data 320a-320d to the first time series data 310, and may set the maximum and minimum values ​​of the discharge time (tapping time in this embodiment) represented by the discharge time actual information associated with the selected plurality of second time series data 320 as the estimation range (maximum and minimum values) of the discharge time of the estimation target object. In the following description, the estimation range of the discharge time of the estimation target object derived in this manner is referred to as the Min-Max estimation range as necessary.

[0060] Also, for example, the derivation unit 140 may select a plurality of second time series data 320 having a high similarity among the similarities of the second time series data 320a-320d to the first time series data 310, derive a standard deviation σ of the discharge time (tapping time in this embodiment) represented by the discharge time performance information associated with the selected plurality of second time series data 320, and set the range of ±n×σ with respect to the average value of the discharge time represented by the discharge time performance information associated with the selected plurality of second time series data 320 as the estimation range of the discharge time of the estimation target object (where n is a positive integer (three patterns of 1, 2, and 3), and is stored in advance in the processing device 100). In the following description, the estimation range of the discharge time of the estimation target object derived in this manner is referred to as ±σ estimation range as necessary.

[0061] Also, for example, the derivation unit 140 may select a plurality of second time series data 320 having a high similarity among the similarities of the second time series data 320a to 320d to the first time series data 310, derive a median MAD of the absolute value of the difference between the median of the discharge time (tapping time in this embodiment) represented by the discharge time performance information associated with the selected plurality of second time series data 320 and the performance value of each discharge time associated with the selected second time series data 320, and set the range of ±m×MAD with respect to the median of the discharge time associated with the selected plurality of second time series data 320 as the estimation range of the discharge time of the estimation target object (where m is a positive integer (three patterns of 1, 2, and 3) and is stored in advance in the processing device 100). In the following description, the estimation range of the discharge time of the estimation target object derived in this manner is referred to as a ±MAD estimation range as necessary. Note that the ±MAD estimation range is less susceptible to the influence of outliers in the order of the ±MAD estimation range, the ±σ estimation range, and the Min-Max estimation range. The estimated range is not limited to the above calculation method, and may be calculated by performing model estimation such as a mixed Gaussian distribution using a method such as machine learning.

[0062] As described above, in this embodiment, the derivation unit 140 derives the estimation range of the ejection time of the object to be estimated using a plurality of derivation methods. However, the derivation method of the estimation range of the ejection time of the object to be estimated may be one.

[0063] 3, the derivation unit 140 derives the estimation range of the ejection time of the object to be estimated as described above using the similarity in each of the five time periods ΔT1 to ΔT5. For example, the derivation unit 140 derives the estimation range of the ejection time of the object to be estimated as described above using the similarity of the second time series data 320 to the first time series data 310 in the time period ΔT1. Similarly, the derivation unit 140 derives the estimation range of the ejection time of the object to be estimated as described above using the similarity of the second time series data 320 to the first time series data 310 in the time periods ΔT2, ΔT3, ΔT4, and ΔT5.

[0064] <Output unit 150> The output unit 150 outputs display information based on the ejection time of the estimation target object derived by the derivation unit 140. For example, the output unit 150 displays the display information on a display device (computer display). Note that the output unit 150 may transmit the display information to an external device, for example.

[0065] In this embodiment, a case where information displaying an estimated value of the discharge time of the estimation target object and an estimated range is included in the display information is illustrated. Fig. 4 is a diagram showing an example of a display screen 400 that displays the display information. 4 illustrates an example in which the display screen 400 serves as a GUI (Graphical User Interface). For example, when an operator performs a predetermined operation on an input device included in the processing device 100, the output unit 150 causes an output device (display device) included in the processing device 100 to display the display screen 400.

[0066] 4, position selection buttons 410a to 410d are buttons pressed by an operator to select a measurement position or a calculation position of a predetermined physical quantity. In this embodiment, a case is illustrated in which position selection buttons 410a, 410b, 410c, and 410d corresponding to installation positions of electrode pairs 220a, 220b, 220c, and 220d are displayed on a display screen 400.

[0067] The estimation range selection buttons 420a to 420c are buttons pressed by an operator to select a method for deriving an estimation range of the ejection time of an estimation target object. In this embodiment, a case is illustrated in which estimation range selection buttons 420a, 420b, and 420c corresponding to a Min-Max estimation range, a ±σ estimation range, and a ±MAD estimation range are displayed on the display screen 400.

[0068] The estimation result display field 430 displays information on the ejection time of the estimation target object derived by the derivation unit 140 as described above. The estimation result display field 430 displays the ejection time of the estimation target object derived as described above using the time series data of the potential difference of the electrode pair 220 corresponding to the button pressed by the operator out of the position selection buttons 410a, 410b, 410c, and 410d as the first time series data and the second time series data. The estimation result display field 430 also displays the estimated range of the ejection time of the estimation target object derived by the derivation method corresponding to the button pressed by the operator out of the estimation range selection buttons 420a, 420b, and 420c.

[0069] 4, t1 to t5 in the estimation result display field 430 correspond to the comparison timings t1 to t5 illustrated in FIG. 3. In the fields below t1, t2, t3, t4, and t5 in the estimation result display field 430, the ejection times of the estimation target object derived using the first time series data and the second time series data in the time periods ΔT1, ΔT2, ΔT3, ΔT4, and ΔT5 are displayed, respectively. In the fields to the right of the estimation range (minimum) and estimation range (maximum), the minimum and maximum values ​​of the estimation range of the ejection time of the estimation target object derived by the derivation unit 140 are displayed, respectively. In the field to the right of the estimation value, the estimated value of the ejection time of the estimation target object derived by the derivation unit 140 is displayed.

[0070] In Fig. 4, the position selection button 410a is shaded to indicate that the position selection button 410a has been pressed. Therefore, the values ​​shown in the estimation result display field 430 are the estimated values ​​of the ejection time of the estimation target object and the estimation range derived by the derivation unit 140 as described above by using the time series data of the potential difference of the electrode pair 220a as the first time series data and the second time series data. Also, in Fig. 4, the estimation range selection button 420a is shaded to indicate that the estimation range selection button 420a has been pressed. The values ​​shown in the fields to the right of the estimation range (minimum) and estimation range (maximum) in the estimation result display field 430 are the Min-Max estimation range (minimum value, maximum value).

[0071] FIG. 4 illustrates a case where the current time (display time of the display screen 400) is a time before the time corresponding to the comparison timing t5. Therefore, the first time series data in the time period ΔT5 is not acquired by the acquisition unit 110. Therefore, the derivation unit 140 does not derive the discharge time of the estimation target object using the first time series data and the second time series data in the time period ΔT5. FIG. 4 illustrates a case where this is represented as a blank space below t5 in the estimation result display space 430. When the display of the display screen 400 continues and the current time becomes later than the time corresponding to the comparison timing t5, and the discharge time of the estimation target object is derived using the first time series data and the second time series data in the time period ΔT5, the output unit 150 may (automatically) display the discharge time of the estimation target object (estimated value and estimation range) in the blank space to update the display screen 400.

[0072] 4, an OK button 440 is a button that is pressed by an operator when terminating the display of the display screen 400. When the OK button 440 is pressed, the output unit 150 terminates the display of the display screen 400.

[0073] [Processing method] Next, an example of a processing method performed using the processing device 100 will be described with reference to the flowchart of Fig. 5. For ease of explanation, it is assumed here that information required for comparison with the first time-series data (second time-series data, operation identification information, and discharge time performance information) and a tapping schedule are stored in the storage unit 120. The tapping schedule may be stored in a volatile memory.

[0074] First, in step S501, the acquisition unit 110 acquires operation identification information. The operation identification information acquired in step S501 identifies, for example, which tapping the data at each time constituting the first time-series data (each time data of the measured value of the potential difference between the electrode pair 220) corresponds to.

[0075] Next, in step S502, the acquiring unit 110 acquires data at one time constituting the first time-series data (in this embodiment, data at one time of the measured value of the potential difference between the electrode pair 220). For the sake of simplicity, in step S502, the acquiring unit 110 acquires only data at the time of tapping identified by the operation identification information acquired in the most recent step S501.

[0076] Next, in step S503, the acquiring unit 110 determines whether or not to adopt the first time series data composed of the data acquired in step S502. In this embodiment, the acquiring unit 110 determines to adopt the first time series data composed of the data acquired in step S502 if the data acquired in step S502 satisfies the above-mentioned data adoption condition, and determines not to adopt the first time series data composed of the data if the data does not satisfy the above-mentioned data adoption condition.

[0077] As a result of the judgment in step S503, if it is judged that the first time-series data constituted by the data acquired in step S502 is not adopted (NO in step S503), the process of step S504 is performed. In step S504, the acquisition unit 110 discards the data acquired in step S502 at the time of the most recent tapping identified by the operation identification information acquired in step S501. Then, the process of step S501 described above is performed again. Then, the processes from step S502 onwards are performed again for the tapping identified by the operation identification information newly acquired in step S501.

[0078] On the other hand, if it is determined in step S503 that the first time-series data constituted by the data acquired in step S502 is to be adopted (YES in step S503), the process of step S505 is performed. In step S505, the acquisition unit 110 stores the data acquired in step S502.

[0079] The data may be stored in a volatile memory or in the storage unit 120. When the tapping identified by the operation identification information acquired in step S501 is completed, the acquisition unit 110 may acquire discharge time record information indicating the actual tapping time for the tapping. When the data acquired in step S502 is stored in the storage unit 120, the storage unit 120 may store the data stored in step S505, the operation identification information, and the discharge time record information in a mutually associated manner.

[0080] Next, in step S506, the comparison unit 130 determines whether the current time (the time when this step is performed) corresponds to any of the comparison timings t1 to t5. If it is determined in step S506 that the current time does not correspond to any of the comparison timings t1 to t5 (NO in step S506), the process of step S502 described above is performed again.

[0081] On the other hand, if it is determined in step S506 that the current time corresponds to any one of the comparison timings t1 to t5 (YES in step S506), the process proceeds to step S507. In step S507, the comparison unit 130 derives the similarity of the second time series data with respect to the first time series data.

[0082] The first time series data used to derive the similarity is, for example, data stored in step S505 at the time of tapping identified by the most recent operation identification information acquired in step S501. The second time series data is read from the storage unit 120, for example, as follows. First, the comparison unit 130 searches the storage unit 120 for operation identification information that identifies tapping from the same taphole 210 as the taphole 210 identified by the most recent operation identification information acquired in step S501. Then, the comparison unit 130 reads out the second time series data stored in the storage unit 120 in association with the searched operation identification information.

[0083] The comparison unit 130 derives similarities for the number of pieces of second time series data read from the storage unit 120. Moreover, the time period ΔT of the first time series data and the second time series data used when deriving the similarities is, for example, the time period ΔT from the comparison start timing t0 to the comparison timing determined in step S506 to be the time corresponding to the current time among the comparison timings t1 to t5.

[0084] Next, in step S508, the derivation unit 140 selects second time series data necessary to derive the ejection time of the estimation target object based on the similarity derived in step S507. For example, the derivation unit 140 selects a plurality of second time series data 320 having a high similarity to the first time series data 310.

[0085] Next, in step S509, the derivation unit 140 derives an estimate and an estimation range of the discharge time of the estimation target object using the discharge time (in this embodiment, the tapping time) represented by the discharge time actual information associated with the second time series data selected in step S508 and stored in the memory unit 120.

[0086] Next, in step S510, the output unit 150 outputs display information based on the ejection time of the estimated target object derived in step S509 (see the display screen 400 in FIG. 4). Next, in step S511, the processing equipment 100 judges whether or not to end the processing. The judgment in step S511 is made, for example, based on an input operation by an operator to an input device provided in the processing equipment 100. Also, when the processing in steps S501 to S510 is completed for all taps included in the tapping schedule, the processing equipment 100 may judge to end the processing.

[0087] If the determination in step S511 is that the process should not be terminated (NO in step S511), the process in step S501 described above is performed again. On the other hand, if the determination in step S511 is that the process should be terminated (YES in step S511), the process in the flowchart of FIG. 5 ends.

[0088] [summary] As described above, in this embodiment, the processing device 100 derives the discharge time of the object to be estimated based on the result of the comparison between the first time series data and the second time series data. Here, the first time series data and the second time series data are time series data of measured or calculated values ​​of a predetermined physical quantity that changes according to the progress of the discharge of the object from the discharge port. The first time series data is time series data for the object to be estimated. On the other hand, the second time series data is time series data obtained before the first time series data is acquired. In addition, the second time series data is associated with an actual value of the discharge time. In addition, the discharge time of the object to be estimated is the time from a reference timing (e.g., the timing at which the object starts to be discharged from the discharge port) to the timing at which the object ends to be discharged from the discharge port. In addition, the comparison between the first time series data and the second time series data is performed in the same time zone based on the reference timing (e.g., the timing at which the discharge starts). Therefore, it is possible to estimate the discharge end timing based on the discharge time derived by comparing the time series data for the object to be estimated with past time series data. Therefore, it is possible to accurately determine when the discharge of the objects in the container will be completed.

[0089] In addition, in this embodiment, the processing device 100 acquires the first time-series data when the estimation target object is being discharged. Therefore, when the estimation target object is being discharged, the discharge time (discharge end timing) of the estimation target object can be estimated. Therefore, for example, it is possible to suppress the discharge of gas from the tap hole 210 due to the discharge end timing being too late. Also, it is possible to suppress the remaining amount of molten iron that can be discharged in the furnace from increasing due to the discharge end timing being too early. Also, by estimating the discharge time (discharge start timing) of the estimation target object when the estimation target object is being discharged, it is possible to accurately estimate the work time during and after tapping. Work during and after tapping can be performed smoothly.

[0090] In addition, in this embodiment, the processing device 100 compares the first time series data and the second time series data in each of two or more time periods ΔT after a reference timing (for example, the timing at which the discharge of the estimation target object begins), and derives the discharge time of the estimation target object based on the result of the comparison when the comparison is performed in one of the two or more time periods ΔT. Here, the end timings of the two or more time periods ΔT are different from each other. Therefore, the comparison of the first time series data and the second time series data can be performed in stages. Therefore, the discharge time can be derived in stages in one discharge operation. Furthermore, if the start timings of the two or more time periods ΔT are the same, the time period for comparing the first time series data and the second time series data can be made longer as the discharge operation progresses. Therefore, by deriving the discharge time from the first half of the discharge operation, the discharge end timing can be foreseen, and the discharge time can be estimated more accurately as the discharge operation progresses.

[0091] In addition, in this embodiment, the processing device 100 derives a similarity of the second time series data to the first time series data, selects one or more of the second time series data based on the derived similarity, and derives the discharge time of the estimation target object based on the actual value of the discharge time associated with the selected second time series data. Therefore, the second time series data similar to the first time series data can be selected based on a quantitative index. Therefore, the estimation accuracy of the discharge time of the estimation target object can be further improved.

[0092] In this embodiment, the processing device 100 causes the display device to display information based on the discharge time of the estimation target object. Therefore, information for understanding the discharge end timing can be explicitly shown to the operator.

[0093] In this embodiment, the processing apparatus 100 determines the discharge time as the time from the discharge start timing to the discharge end timing. Therefore, in addition to the discharge end timing, information such as the total time required for discharge can be obtained.

[0094] (Other embodiments) The above-described embodiment of the present invention can be realized by a computer executing a program. A computer-readable recording medium on which the program is recorded and a computer program product such as the program can also be applied as an embodiment of the present invention. Examples of the recording medium that can be used include a flexible disk, a hard disk, an optical disk, a magneto-optical disk, a CD-ROM, a magnetic tape, a non-volatile memory card, and a ROM. Furthermore, the above-described embodiments of the present invention are merely examples of the implementation of the present invention, and the technical scope of the present invention should not be interpreted as being limited by these. In other words, the present invention can be implemented in various forms without departing from its technical concept or main features.

[0095] The disclosure of the above embodiment can be, for example, as follows. [Disclosure 1] A processing device that performs a process of deriving a time from a reference timing to a timing at which the object is completely discharged from the discharge port as a discharge time of the object from the discharge port in the container, an acquisition means for acquiring first time series data which is time series data of measured or calculated values ​​of a predetermined physical quantity that changes according to the progress of discharge of the object from the discharge port, and which is time series data for the object whose discharge time is to be estimated; a comparison means for comparing the first time series data with second time series data, which is time series data obtained before the first time series data is obtained as time series data of the measured value or calculated value of the predetermined physical quantity, and which is time series data associated with an actual value of the discharge time; A derivation means for deriving the discharge time of the object to be estimated based on a result of the comparison by the comparison means; Equipped with The comparison means is a processing device that compares the first time series data and the second time series data for the same time period based on the discharge start timing. [Disclosure 2] The processing device according to Disclosure 1, wherein the acquisition means acquires the first time series data when the object is being discharged. [Disclosure 3] the comparison means compares the first time series data with the second time series data for each of two or more time periods after the reference timing; The end timings of the two or more time periods are different from each other, The processing device according to Disclosure 1 or 2, wherein when the comparison means performs a comparison for one of the two or more time periods, the derivation means derives the emission time of the object to be estimated based on a result of the comparison of the first time series data and the second time series data for the one time period. [Disclosure 4] The processing device according to Disclosure 3, wherein the start timing of the two or more time periods is the same. [Disclosure 5] The comparison means derives a similarity between the second time series data and the first time series data; The processing device according to any one of Disclosures 1 to 4, wherein the derivation means selects one or more of the plurality of second time series data based on the similarity, and derives the discharge time of the object to be estimated based on an actual value of the discharge time associated with the selected second time series data. [Disclosure 6] The apparatus further includes an output unit that outputs display information based on the discharge time derived by the derivation unit, The processing device according to any one of Disclosures 1 to 5, wherein the output means at least causes a display device to display the display information. [Disclosure 7] The processing device according to any one of Disclosures 1 to 6, wherein the deriving means derives at least one of an estimated value and an estimated range of the discharge time of the object to be estimated. [Disclosure 8] The processing apparatus according to any one of Disclosures 1 to 7, wherein the discharge time is a time from a timing at which the object starts to be discharged from the discharge port to a timing at which the object ends to be discharged. [Disclosure 9] the vessel is a blast furnace; The treatment device according to any one of Disclosures 1 to 8, wherein the outlet includes a tap hole. [Disclosure 10] A processing method for performing processing to derive a time from a reference timing to a timing at which the object is completely discharged from the discharge port of a container as a discharge time of the object from the discharge port, the processing comprising: an acquisition step of acquiring first time series data which is time series data of measured or calculated values ​​of a predetermined physical quantity that changes according to the progress of discharge of the object from the discharge port, and which is time series data for the object whose discharge time is to be estimated; a comparison step of comparing the first time series data with second time series data, which is time series data obtained before the first time series data is obtained as time series data of the measured value or calculated value of the predetermined physical quantity, and which is time series data associated with an actual value of the discharge time; a derivation step of deriving the discharge time of the object to be estimated based on a result of the comparison by the comparison step; Equipped with The comparing step compares the first time series data and the second time series data for the same time period based on the discharge start timing. [Disclosure 11] A program for causing a computer to function as each of the means of the processing device according to any one of Disclosures 1 to 9. [Explanation of symbols]

[0096] 100 Processing equipment 110 Acquisition Department 120 Storage section 130 Comparison section 140 Derivation part 150 Output section 200 Voltage measuring device 210(210a~210b) Taphole 211 holes 220(220a~220d) Electrode pair 221 + electrode 222 - Electrode 230 Ironhide 240 Tuyere 250 Firebricks 310 First Time Series Data 320(320a~320d) Second time series data ΔT (ΔT1~ΔT5) Time period for comparing the first and second time series data 400 display screen 410a~410d Position selection buttons 420a~420d Estimation range selection button 430 Estimation result display field 440 OK button

Claims

1. A processing device that performs a process of deriving a time from a reference timing to a timing at which the object is completely discharged from the discharge port as a discharge time of the object from the discharge port in the container, an acquisition means for acquiring first time series data which is time series data of measured or calculated values ​​of a predetermined physical quantity that changes in accordance with the progress of discharge of the object from the discharge port, the first time series data being time series data for the object whose discharge time is to be estimated; a comparison means for comparing the first time series data with second time series data, the second time series data being time series data obtained before the first time series data is obtained as time series data of the measured or calculated value of the predetermined physical quantity, and the second time series data being time series data associated with an actual value of the discharge time; A derivation means for deriving the discharge time of the object to be estimated based on a result of the comparison by the comparison means; Equipped with The comparison means compares the first time series data and the second time series data in the same time zone based on the reference timing.

2. The processing device according to claim 1 , wherein the acquisition means acquires the first time-series data when the object is being discharged.

3. the comparison means compares the first time series data with the second time series data for each of two or more time periods after the reference timing; The end timings of the two or more time periods are different from each other, 3. The processing device according to claim 1, wherein when the comparison means performs a comparison for one of the two or more time periods, the derivation means derives the discharge time of the object to be estimated based on a result of the comparison of the first time series data and the second time series data for the one time period.

4. The processing device according to claim 3 , wherein the start timings of the two or more time periods are the same.

5. The comparison means derives a similarity between the second time series data and the first time series data, 3. The processing device according to claim 1, wherein the derivation means selects one or more of the second time series data based on the similarity, and derives the discharge time of the object to be estimated based on an actual value of the discharge time associated with the selected second time series data.

6. The apparatus further includes an output unit that outputs display information based on the discharge time derived by the derivation unit, The processing device according to claim 1 , wherein the output means at least performs the function of displaying the display information on a display device.

7. The processing device according to claim 1 , wherein the deriving means derives at least one of an estimated value and an estimated range of the discharge time of the object to be estimated.

8. The processing apparatus according to claim 1 , wherein the reference timing is a timing at which the object starts to be discharged from the discharge port.

9. the vessel is a blast furnace; The treatment device of claim 1 or 2, wherein the outlet comprises a tap hole.

10. A processing method for performing processing to derive a time from a reference timing to a timing at which the object is completely discharged from the discharge port of a container as a discharge time of the object from the discharge port, the processing comprising: acquiring first time series data which is time series data of measured or calculated values ​​of a predetermined physical quantity that changes in accordance with the progress of discharge of the object from the discharge port, the first time series data being time series data for the object whose discharge time is to be estimated; a comparison step of comparing the first time series data with second time series data, the second time series data being time series data obtained before the first time series data is obtained as time series data of the measured value or the calculated value of the predetermined physical quantity, and the second time series data being time series data associated with an actual value of the discharge time; a derivation step of deriving the discharge time of the object to be estimated based on a result of the comparison by the comparison step; Equipped with A processing method, wherein the comparing step compares the first time series data and the second time series data in the same time zone based on the reference timing.

11. 3. A program for causing a computer to function as each of the means of the processing device according to claim 1 or 2.

Images