Dust removal system, dust removal method, and dust removal program

Abstract

To provide a dust removal system, a dust removal method, and a dust removal program capable of improving efficiency of dust removal operation.SOLUTION: A dust removal system 1 for performing dust treatment in a specific dust removal pitch with a moveable dust removal machine 10, includes: a receiving part 21A receiving an image capturing a front face of a screen 13; an analysis part 22 analyzing the image received by the receiving part 21A; a calculation part 23 calculating the amount of attached dust in each of the dust removal pitch based on a result of analysis analyzed by the analysis part 22; and a control part 24 operating the dust removal machine 10 corresponding to the amount of the attached dust calculated by the calculation part 23.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to a dust removal system, a dust removal method, and a dust removal program. [Background technology]

[0002] For example, near the intake where water from a dam or the like is taken into a hydroelectric power plant, structures called dust screens (hereinafter referred to as screens) are installed to prevent debris such as garbage and driftwood from flowing in. Because debris gradually accumulates on these screens, dust collectors are sometimes installed near the screens to process the debris without relying on human labor (see, for example, Patent Document 1).

[0003] Many of these screen dust collectors use a rake-shaped device to scoop up the dust, and then transport the scooped up dust on a transport conveyor. For wide screens, the dust collector moves on its own in a preset sequence to process the dust. For example, the mobile dust collector disclosed in Patent Document 1 moves from the rear end of the screen to the front end of the screen, scooping up the dust in order, in units of L [m], which is the same distance as the width of the rake. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2008-184262 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, if garbage disposal is performed according to a preset sequence, areas with a lot of garbage will be left untreated, which can lead to water loss. Also, garbage disposal will be performed on areas with no (or only a small) amount of garbage, which will result in unnecessary operations and will increase the deterioration rate of the garbage collector, resulting in increased maintenance costs (including overflow during restoration).

[0006] The present invention has been made to solve the above problems, and has an object to provide a dust removal system, a dust removal method, and a dust removal program that can improve the efficiency of dust removal machine operation. [Means for solving the problem]

[0007] One aspect of the present invention is a dust removal system that performs dust processing at a predetermined dust removal pitch using a mobile dust remover, and includes a receiving unit that receives an image of the front of a screen, an analyzing unit that analyzes the image received by the receiving unit, a calculating unit that calculates the amount of dust adhesion at each dust removal pitch based on the results of the analysis by the analyzing unit, and a control unit that operates the dust remover according to the amount of dust adhesion calculated by the calculating unit. When there are a plurality of locations where the amount of dust adhesion exceeds the threshold, the control unit operates the dust remover in order from the location with the greatest amount of dust adhesion, and while the dust remover is operating at the location with the highest priority for dust processing, the control unit determines the next location with the highest priority, and immediately operates the dust remover at the next location with the highest priority when dust processing is completed at the location with the highest priority. . Another aspect of the present invention is a dust removal system that performs dust processing at a predetermined dust removal pitch using a mobile dust remover, and includes a receiving unit that receives an image of the front of a screen, an analysis unit that analyzes the image received by the receiving unit, a calculation unit that calculates the amount of dust adhesion for each dust removal pitch based on the results of the analysis by the analysis unit, and a control unit that operates the dust remover in accordance with the amount of dust adhesion calculated by the calculation unit, and when there are multiple locations where the amount of dust adhesion exceeds a threshold, the control unit operates the dust remover in order starting from the location closest to the current position of the dust remover.

[0008] Another aspect of the present invention is a dust removal method for performing dust processing at a predetermined dust removal pitch by a mobile dust remover, in which a computer executes a receiving step of receiving an image of the front of a screen, an analyzing step of analyzing the image received in the receiving step, a calculating step of calculating the amount of dust adhesion at each dust removal pitch based on the results of the analysis in the analyzing step, and a control step of operating the dust remover according to the amount of dust adhesion calculated in the calculating step. In the control step, when there are a plurality of locations where the amount of dust adhesion exceeds the threshold, the dust remover is operated in order from the location with the greatest amount of dust adhesion, and when the dust remover is operating at the location with the highest priority for dust processing, the next location with the highest priority is determined, and when dust processing is completed at the location with the highest priority, the dust remover is immediately operated at the next location with the highest priority. . Another aspect of the present invention is a dust removal method in which dust processing is performed at a predetermined dust removal pitch using a mobile dust remover, in which a computer executes a receiving step in which an image of the front of a screen is received, an analysis step in which the image received in the receiving step is analyzed, a calculation step in which the amount of dust adhesion for each dust removal pitch is calculated based on the results of the analysis in the analysis step, and a control step in which the dust remover is operated in accordance with the amount of dust adhesion calculated in the calculation step, and in the control step, if there are multiple locations where the amount of dust adhesion exceeds a threshold value, the dust remover is operated in order starting from the location closest to the current position of the dust remover.

[0009] Another aspect of the present invention is a dust removal program for performing dust processing at a predetermined dust removal pitch by a mobile dust remover, the program causing a computer to execute a receiving step of receiving an image of the front of a screen, an analyzing step of analyzing the image received in the receiving step, a calculating step of calculating the amount of dust adhesion at each dust removal pitch based on the results of the analysis in the analyzing step, and a control step of operating the dust remover in accordance with the amount of dust adhesion calculated in the calculating step. In the control step, when there are a plurality of locations where the amount of dust adhesion exceeds the threshold, the dust remover is operated in order from the location with the greatest amount of dust adhesion, and when the dust remover is operating at the location with the highest priority for dust processing, the next location with the highest priority is determined, and when dust processing is completed at the location with the highest priority, the dust remover is immediately operated at the next location with the highest priority. . Another aspect of the present invention is a dust removal program for performing dust processing at a predetermined dust removal pitch using a mobile dust remover, which causes a computer to execute a receiving step of receiving an image of the front of a screen, an analysis step of analyzing the image received in the receiving step, a calculation step of calculating the amount of dust adhesion for each dust removal pitch based on the results of the analysis in the analysis step, and a control step of operating the dust remover in accordance with the amount of dust adhesion calculated in the calculation step, and in the control step, if there are multiple locations where the amount of dust adhesion exceeds a threshold value, the dust remover is operated in order starting from the location closest to the current position of the dust remover. Effect of the Invention

[0010] According to the present invention, it is possible to provide a dust removal system, a dust removal method, and a dust removal program that can improve the efficiency of dust removal machine operation. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a perspective view showing an application scene of the dust removal system in this embodiment. [Diagram 2] FIG. 2 is a partially enlarged view of the dust remover shown in FIG. [Diagram 3] 1 is a configuration diagram of a dust removal system according to an embodiment of the present invention. [Figure 4] FIG. 4 is a functional block diagram of a server device shown in FIG. [Diagram 5] FIG. 2 is a plan view showing an operation image of the dust removal system in the present embodiment. [Figure 6] 4 is a flowchart showing the operation of the dust removal system in the present embodiment. [Figure 7] FIG. 11 is an explanatory diagram of a modified example of the dust removal system in the present embodiment. [Figure 8] FIG. 11 is an explanatory diagram of a modified example of the dust removal system in the present embodiment. [Figure 9] 5 is a schematic diagram for explaining the function of an analysis unit shown in FIG. 4. [Figure 10] FIG. 2 is an explanatory diagram of a dam structure according to the present embodiment. [Figure 11] FIG. 5 is a hardware configuration diagram of the server device shown in FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. However, the embodiment described below is merely an example. In other words, the embodiment described below can be modified in various ways without departing from the spirit of the invention. In the drawings, parts with the same reference numerals indicate the same or similar parts unless otherwise specified.

[0013] [overview] Conventionally, in the case of a wide screen, the dust collector runs on its own according to a preset sequence and processes the dust, but due to sequence issues, there are cases where the area with a lot of dust adhesion is put off, leading to water intake loss. Therefore, in this embodiment, a mechanism is constructed that can prioritize and operate according to the amount of dust adhesion using image analysis technology using AI (artificial intelligence), aiming to reduce water intake loss and to extend the life of the dust collector by reducing the operating load.

[0014] [Example of application scenario] FIG. 1 is a perspective view showing an application scene of the dust removal system 1 in this embodiment. For example, as shown in FIG. 1, a foundation slab 11 is formed on the top of a screen 13, a plurality of piers 12 are installed under the foundation slab 11, and a plurality of intake channels are opened from a river to a hydroelectric power plant. The openings of the intake channels are covered with a screen 13 to prevent the inflow of rubbish J such as garbage and driftwood. There are various methods for installing the screen 13, but here, it is assumed that the screen 13 is installed so as to be inclined from the bottom of the river to the foundation slab 11. A rail 14 is laid on the foundation slab 11 along the installation direction of the screen 13, and the dust remover 10 runs on the rail 14. Here, the screen 13 divided into a plurality of parts by the piers 12 is illustrated, but there is also a case where a long screen 13 without the piers 12 is installed. In addition to the piers 12 and the screens 13, there are various configurations of the buildings illustrated in FIG. 1, and the details are not particularly limited.

[0015] [Dust remover] FIG. 2 is a partially enlarged view of the dust remover 10 shown in FIG. 1. The symbol W in the figure represents the water surface, and the left-pointing arrow drawn on the water surface W represents the flow of water. For example, as shown in FIG. 2, the dust remover 10 rakes up the dust J with a rake-shaped rake 15, and transports the rake-up dust J by a transport conveyor. The rake 15 is operated by a hoisting wire rope 15A, an opening wire rope 15B, and the like. A running wheel (not shown) is provided on the bottom surface of the dust remover 10. The running wheel, the hoisting wire rope 15A, the opening wire rope 15B, and the like are controlled by a dust remover sequencer 16. The dust remover sequencer 16 is a controller that controls the dust remover 10. When the dust J accumulates on the screen 13, the dust remover 10 moves on the foundation slab 11, and the rake 15 rakes up the dust J one place (rake width L) at a time. Of course, there are various configurations of the dust remover 10, and the detailed configuration is not particularly limited. Here, an example of garbage processing using one dust remover 10 is shown, but garbage processing may be performed using multiple dust removers 10.

[0016] [System configuration example] Fig. 3 is a configuration diagram of the dust removal system 1 in this embodiment. As shown in Fig. 3, a monitoring camera 30, a server device 20, and a dust remover 10 are communicably connected via a network such as the Internet N. Parts of a building such as a foundation slab 11 are drawn as a schematic plan view. In the drawing, the upper side of the foundation slab 11 is the power plant side, and the lower side is the river side.

[0017] The surveillance camera 30 is a photographing unit such as a Web camera that constantly photographs the front of the screen 13, which is the subject of surveillance. The mounting position of the surveillance camera 30 is not particularly limited as long as it is a position where the front of the screen 13 can be photographed. The front of the screen 13 is the area that spreads out in front of the screen 13 when viewed from the river side. The photographed images (including moving images and still images) are transmitted to the server device 20 in real time.

[0018] The server device 20 is a computer for improving the efficiency of the dust collector operation. For example, it uses an AI image analysis model to determine the real-time amount of dust (stagnant) adhesion that may cause water intake problems, and the trends in the amount and speed of dust adhesion. In addition, this determination result is linked to the dust collector sequencer 16, which determines whether or not dust processing is necessary, prioritizes it, and selects priority monitoring points, and operates the dust collector 10 based on that.

[0019] Of course, other devices may be included in the dust removal system 1. For example, a terminal such as a tablet, a smartphone, or a PC operated by an administrator of the dust removal system 1 may be connected to the server device 20 via the Internet N so as to be able to communicate with the server device 20.

[0020] [Comparison with conventional models] A comparison with the conventional method will be made below using FIG. 3. As shown in FIG. 3, a large amount of dust J is attached to the screen 13A. No dust J is attached to the screen 13B. A medium amount of dust J is attached to the screen 13C. In such a case, conventionally, dust is removed from the screens 13A, 13B, and 13C in that order. That is, since the dust collector 10 operates according to a preset order, the action on the screen 13C, which should be prioritized (to clear the dust clogging) after the screen 13A, is delayed, and a reduction in electricity occurs due to a loss of water intake. In addition, dust is removed from the screen 13B, which has no (or little) dust attached thereto, so unnecessary operations are performed, and the deterioration rate of the dust collector 10 is accelerated, which increases maintenance costs (including overflow during restoration).

[0021] In contrast, in this embodiment, after dust processing is performed on screen 13A, screen 13B is skipped and dust processing is performed on screen 13C. That is, the dust remover 10 is operated in order from the area with the largest amount of dust adhesion, and is not operated on the area where there is no dust J. This makes it possible to reduce water intake loss because the area with a large amount of dust adhesion is not put off. Also, since dust processing is not performed on the area with no (or little) dust adhesion, the operating load of the dust remover 10 is reduced, and it is possible to extend the life of the dust remover 10.

[0022] [Server device] Fig. 4 is a functional block diagram of the server device 20 shown in Fig. 3. The server device 20 is a computer for improving the efficiency of the operation of the dust collector, and includes a communication unit 21, an analysis unit 22, a calculation unit 23, a control unit 24, and a storage unit 25, as shown in Fig. 4.

[0023] The communication unit 21 is a functional unit that communicates with other devices such as the surveillance camera 30 and the dust remover 10. The communication unit 21 includes a receiving unit 21A that receives data from other devices and a transmitting unit 21B that transmits data to other devices. For example, the receiving unit 21A receives images captured by the surveillance camera 30. Furthermore, the transmitting unit 21B transmits operation instructions and the like to the dust remover 10.

[0024] The analysis unit 22 is a functional unit that analyzes data received from other devices. For example, the analysis unit 22 analyzes the image received by the receiving unit 21A by an image analysis technique using AI.

[0025] The calculation unit 23 is a functional unit that performs various calculations. For example, it calculates the dust adhesion amount for each dust removal pitch based on the results of analysis by the analysis unit 22. The "dust removal pitch" means the pitch (width) of dust removal in one dust treatment, but in the following description, the location (block) of dust removal in one dust treatment may also be called the "dust removal pitch."

[0026] The control unit 24 is a functional unit that performs various controls. For example, it prioritizes the dust collector 10 according to the dust adhesion amount calculated by the calculation unit 23, and issues an operation command to the dust collector 10 (input to the dust collector sequencer 16). In addition, it accumulates operation information of the dust collector 10 and has the AI ​​learn the information to predict the dust adhesion trend. The dust adhesion trend will be described later.

[0027] The storage unit 25 is a functional unit that stores various data, such as a threshold value for determining whether or not garbage disposal is required, operation information of the dust remover 10, and other data required for garbage disposal.

[0028] Of course, the server device 20 may include other functional units. For example, the server device 20 may include a notification unit that, when an abnormality is detected based on the results of the analysis by the analysis unit 22, notifies the abnormality to a terminal such as a tablet, a smartphone, or a PC operated by an administrator of the dust removal system 1.

[0029] [Operation image] 5 is a plan view showing an operation image of the dust removal system 1 in this embodiment. Here, attention is focused on four dust removal pitches, and the dust removal pitches are numbered No. 1 to No. 4.

[0030] As shown in Fig. 5, in the initial state, the dust removal pitch No. 2 has the most dust J attached thereto, so dust removal is performed for that pitch. When dust removal for pitch No. 2 is completed, the dust remover 10 moves to dust removal pitch No. 3 where a large amount of dust J is attached, and performs dust removal for pitch No. 3. Similarly, dust removal for pitch No. 2 is performed, and then dust removal for pitch No. 4 is performed.

[0031] Details will be described later, but when dust processing for dust removal pitch No. 4 is completed, if there are no locations where a lot of dust J is attached, the location where a lot of dust J is likely to be attached is predicted based on the dust adhesion trend, and advance movement is made to that location (dust removal pitch No. 2). Also, as shown by the dashed frame 40 in the figure, the location where a lot of dust J is likely to be attached is predicted based on the dust adhesion trend, and the location (dust removal pitch No. 2) is set to be monitored preferentially.

[0032] [Detailed operation example] 6 is a flowchart showing the operation of the dust removal system 1 in this embodiment. Hereinafter, the operation of the dust removal system 1 will be described in detail with reference to FIG.

[0033] First, when the server device 20 receives an image captured by the monitoring camera 30, it performs image analysis (steps S1 to S2). If dust J is detected as a result of this image analysis, the amount of dust adhesion at each dust removal pitch is calculated (step S3). Here, it is assumed that the dust adhesion amount at dust removal pitch No. 1 is 0%, the dust adhesion amount at dust removal pitch No. 2 is 80%, the dust adhesion amount at dust removal pitch No. 3 is 50%, and the dust adhesion amount at dust removal pitch No. 4 is 0%.

[0034] Next, the server device 20 obtains operation information from the dust remover 10 and excludes the dust removal pitch No. that is in operation (steps S4 to S5). Here, it is assumed that the dust remover 10 is not in operation.

[0035] Next, the server device 20 compares the dust adhesion amount of each dust removal pitch with a threshold value (n%) and determines whether any of them exceeds the threshold value (step S6). Here, the threshold value is the ratio (50%) of the dust adhesion width to the dust removal pitch (width). In this case, it is determined that dust removal pitches No. 2 and No. 3 exceed the threshold value (step S6).

[0036] Next, the server device 20 determines the highest priority dust removal pitch No. based on the dust adhesion amount (step S7). Here, the dust removal pitch No. 2 has a dust adhesion amount of 80%, and the dust removal pitch No. 3 has a dust adhesion amount of 50%, so the server device 20 determines that the highest priority dust removal pitch No. is the dust removal pitch No. 2 (step S7).

[0037] Next, the server device 20 obtains operation information from the dust remover 10 and determines whether the dust remover 10 is not currently operating (steps S8 to S9). Here, it is determined that the dust remover 10 is not operating (step S9).

[0038] Next, the server device 20 issues an instruction to the dust remover 10 to operate the dust removal pitch No. 2 with the highest priority (step S10). As a result, while the dust remover 10 is processing the dust at the dust removal pitch No. 2, another image analysis is performed, and the process returns to the flow of determining which dust removal pitch No. should be the highest priority next time.

[0039] That is, as described above, an instruction to operate the dust removal pitch No. 2 with the highest priority is issued to the dust remover 10 (step S10), and the camera images taken by the monitoring camera 30 are analyzed (step S2), the amount of dust adhesion at each dust removal pitch is calculated (step S3), and operation information is obtained from the dust remover 10 (step S4). At this time, since the dust removal pitch No. 2 is operating, the dust removal pitch No. 2 is excluded (step S5), and it is determined that the dust removal pitch No. 3 exceeds the threshold value (step S6), and the dust removal pitch No. with the highest priority is determined to be the dust removal pitch No. 3 (step S7).

[0040] Then, when the operation information is obtained from the dust remover 10, if dust removal pitch No. 2 is still operating, it is determined that the dust remover 10 is currently operating (steps S8 → S9). After that, when information indicating that the dust processing is completed is obtained from the dust remover 10, an instruction is given to the dust remover 10 to set the next top priority dust removal pitch No. to dust removal pitch No. 3 (S15 → S16). During this time, the image analysis is on standby.

[0041] On the other hand, when the dust remover 10 receives an operation instruction for the highest priority dust removal pitch No. 2 from the server device 20 (step S10), it moves to the highest priority dust removal pitch No. 2 and starts dust processing (step S11). Then, when the dust removal machine 10 completes the dust processing for the highest priority dust removal pitch No. 2 (step S12), since the server device 20 has input that the next highest priority dust removal pitch No. will be dust removal pitch No. 3 (step S13), it immediately moves to the next highest priority dust removal pitch No. 3 and starts dust processing (steps S14 → S10 → S11).

[0042] Similarly, while dust processing is being performed for dust removal pitch No. 3, another image analysis is performed, and the flow returns to determining which dust removal pitch No. will be the top priority pitch next time (steps S2->S3->...). At this time, since the dust adhesion amount for dust removal pitch No. 4 does not exceed the threshold value (step S6), the next top priority dust removal pitch No. is determined to be "none" (step S14).

[0043] Next, the server device 20 collects the operation counts of each dust removal pitch No. in the most recent n times, and calculates the optimal standby position (steps S17 to S18). Here, it is assumed that the dust remover 10 has been operated five times in succession, and that the operation count of dust removal pitch No. 1 is 0 times, the operation count of dust removal pitch No. 2 is 3 times, the operation count of dust removal pitch No. 3 is 1 time, and the operation count of dust removal pitch No. 4 is 1 time. In this case, the optimal standby position is determined to be dust removal pitch No. 2, which has been operated the most in the most recent five times.

[0044] At this time, if the operation counts are the same, for example, the one closer in distance from the current position of the dust remover 10 may be set as the optimum standby position (step S18). If they are still the same, that is, if the distances from the current position of the dust remover 10 are also the same, for example, the one with the smaller (or larger) dust removal pitch No may be set as the optimum standby position (step S18).

[0045] Thereafter, operation information is obtained from the dust remover 10, and if the dust remover 10 is stopped, an instruction is given to the dust remover 10 to move to dust removal pitch No. 2, which is the optimum standby position (steps S19 to S20). When the dust remover 10 completes its movement to dust removal pitch No. 2 (step S21), the process returns to step S2 and the same process is repeated.

[0046] [Dust adhesion trend] 6, when there is no next highest priority location, the control unit 24 moves the dust remover 10 in advance to the location that has been operated the most in the past in each dust removal pitch. This makes it possible to immediately start dust processing at the location where dust J is most likely to adhere based on the dust adhesion trend.

[0047] In steps S17 to S21 in Fig. 6, the dust adhesion trend is determined based on the number of past operations, but the present invention is not limited to this. For example, assume that the location where dust J is likely to adhere changes depending on whether the gate is open or closed to adjust the water volume of the embankment. In such a case, the opening and closing of the gate may be detected, and the dust adhesion trend may be predicted based on the detection result, and the dust remover 10 may be moved in advance to the location where dust J is most likely to adhere.

[0048] 6, the analysis unit 22 may preferentially analyze images of locations to which the dust remover 10 has been moved in advance. For example, in a situation in which a large number of screens 13 need to be monitored, it may not be possible to simultaneously analyze (monitor) all of these screens 13 due to factors such as the capacity of the server device 20. In such a case, each screen 13 may be analyzed one by one, and the location to which the dust remover 10 has been moved in advance may be analyzed first. This makes it possible to preferentially detect dust J from locations to which dust J is likely to adhere, based on the dust adhesion trend.

[0049] [Variation 1] 6, when there are multiple locations where the amount of dust adhesion exceeds the threshold, the dust remover 10 is operated in order from the location with the largest amount of dust adhesion, but the present invention is not limited to this. For example, when there are multiple locations where the amount of dust adhesion exceeds the threshold, the dust remover 10 may be operated in order from the location closest to the current position of the dust remover 10.

[0050] Fig. 7 is an explanatory diagram of a modified example of the dust removal system 1 in this embodiment. As shown in Fig. 7, it is assumed that the current position of the dust remover 10 is dust removal pitch No. 3. The dust adhesion amount at dust removal pitch No. 1 is 60%, the dust adhesion amount at dust removal pitch No. 2 is 70%, the dust adhesion amount at dust removal pitch Nos. 3 to 8 is 0%, the dust adhesion amount at dust removal pitch No. 9 is 80%, and the dust adhesion amount at dust removal pitch No. 10 is 65%.

[0051] In this case, according to the flowchart of Fig. 6, the dust remover 10 moves in the order of dust removal pitches 9 → 2 → 10 → 1, resulting in a loss of movement time. Therefore, if there are multiple locations where the amount of dust adhesion exceeds a threshold (e.g., 50%), the dust remover 10 may be operated in order from the location closest to the current position of the dust remover 10. This allows the dust remover 10 to move in the order of dust removal pitches 2 → 1 → 9 → 10, thereby reducing the loss of movement time.

[0052] Also, if there is a location that exceeds a higher threshold (e.g., 80%), the dust remover 10 may be moved to that location immediately regardless of the current position. In this case, for locations that exceed the 50% threshold (first threshold) but do not exceed the 80% threshold (second threshold), as already described, the dust remover 10 may be operated in order from the location closest to the current position, or in order from the location with the largest amount of dust adhesion. This allows the dust remover 10 to be moved in the order of dust removal pitches No. 9 → 10 → 2 → 1, etc., and therefore it is also possible to reduce loss of time in moving the dust remover 10 while taking into account the amount of dust adhesion.

[0053] [Variation 2] 8 is an explanatory diagram of a modified example of the dust removal system 1 in the present embodiment. Here, a state in which the screen 13 is broken by water pressure is shown typically.

[0054] That is, as shown in FIG. 8(A), when dust J adheres to the screen 13, it may obstruct the flow of water, and as shown in FIG. 8(B), the water level h1 inside the screen 13 may drop. In such a case, a water level difference h2-h1 occurs between the outside and inside of the screen 13, and the screen 13 will support the load. According to the flowchart of FIG. 6, when a large amount of dust J adheres, it is detected and the dust is disposed of, but it is desirable to assume a case where the dust J cannot be detected accurately for some reason. For example, the cause of the dust J not being detected accurately may be that the dust J adheres to a position lower than the water level h2 outside the screen 13 and cannot be photographed by the monitoring camera 30, that the dust J or the water surface W is whitened by sunlight, or that the image is taken at night or in bad weather (fog, etc.). If the dust J cannot be detected accurately based on the image taken by the monitoring camera 30 due to such a reason, the dust may not be disposed of at that location. As a result, the water level difference h2-h1 between the outside and inside of the screen 13 becomes large, and if the screen 13 can no longer withstand the load, the screen 13 will break, as shown in Figure 8(C).

[0055] Therefore, as shown in Fig. 8(B), a water level detection unit such as a pressure sensor that detects the water level h1 inside the screen 13 and the water level h2 outside the screen 13 may be provided, and when the water level difference h2-h1 detected by the water level detection unit exceeds a threshold value such as 30 cm, the control unit 24 may immediately perform dust processing at that point regardless of the amount of dust adhesion. Specifically, the determination in step S6 in Fig. 6 may not be performed, and the point may be determined as the dust removal pitch No with the highest priority (step S7). This makes it possible to avoid a problem in which the screen 13 is broken, even if it is not possible to detect that a large amount of dust J is attached for some reason.

[0056] [Image analysis example] Fig. 9 is a schematic diagram for explaining the function of the analysis unit 22 shown in Fig. 4. This schematic diagram is drawn simply for the purpose of understanding the invention.

[0057] The server device 20 can accurately detect dust J by utilizing AI deep learning and repeatedly learning, as shown in Fig. 9(A). For example, a virtual area may be provided at a predetermined position in front of the screen 13, and if the ratio of the dust-adhered area to this area exceeds a threshold, it may be determined that dust processing is required for this screen 13. That is, the term "dust adhesion amount" in the present invention includes not only the meaning of "dust adhesion width" but also the meaning of "dust adhesion area".

[0058] 9(B) and 9(C), the detected dust J may be classified into stagnant dust J1 and flowing dust J2 by ​​motion detection. This makes it possible to distinguish between stagnant dust J1 and flowing dust J2 and to more accurately determine the need for dust disposal and dust adhesion trends.

[0059] [Target of monitoring] Fig. 10 is an explanatory diagram of a dam structure in this embodiment. As shown in Fig. 10, river water dammed up by a dam 41 is collected in a water tank 45 through a screen 13(1), a water gate 43, and a waterway 44, and is used in a hydroelectric power station 46 through a screen 13(2). The water used in the hydroelectric power station 46 is adapted to merge with the main river 42 flowing down from the dam 41.

[0060] The dust removal system 1 in this embodiment may monitor not only the screen 13(1) but also the screen 13(2). In addition, such a dust removal system 1 can be applied to water intakes other than the hydroelectric power plant 46 (for example, water intakes of nuclear power plants, thermal power plants, paper mills, etc.). In other words, it can be applied to all screens 13 that require dust removal by the mobile dust remover 10.

[0061] [Hardware configuration example] FIG. 11 is a hardware configuration diagram of the server device 20 shown in FIG. 4. As shown in FIG. 11, a processor 20A, a ROM (Read Only Memory) 20B, a RAM (Random Access Memory) 20C, a HDD (Hard Disk Drive) 20D, a communication IF (Interface) 20E, an input device 20F, an output device 20G, a reader 20H, and the like are communicatively connected via a bus. The processor 20A is a central processing unit that performs control and calculations. The ROM 20B is a non-volatile memory that stores data. The RAM 20C is a volatile memory that stores data. The HDD 20D is a large-capacity storage device that stores data. The communication IF 20E is an interface for communicating with other devices. The input device 20F is a keyboard or the like that inputs data. The output device 20G is a display or the like that outputs data. The reader 20H is a reader that reads out data recorded on a computer-readable recording medium. For example, the processor 20A loads a program stored in the HDD 20D into the RAM 20C and executes it to realize each functional unit of the server device 20 shown in Fig. 4. This hardware configuration is merely an example, and may be increased or decreased, divided, or integrated as appropriate.

[0062] [Characteristic configuration and its effects] As described above, the dust removal system 1 in this embodiment is a dust removal system 1 that performs dust processing at a predetermined dust removal pitch by a mobile dust remover 10, and includes a receiving unit 21A that receives an image of the front of the screen 13, an analyzing unit 22 that analyzes the image received by the receiving unit 21A, a calculating unit 23 that calculates the amount of dust adhesion at each dust removal pitch based on the results of the analysis by the analyzing unit 22, and a control unit 24 that operates the dust remover 10 according to the amount of dust adhesion calculated by the calculating unit 23. As a result, the dust remover 10 is operated according to the amount of dust adhesion, so that the efficiency of the dust remover operation can be improved.

[0063] Specifically, when there are multiple locations where the amount of dust adhesion exceeds the threshold, the control unit 24 may operate the dust remover 10 in order from the location with the largest amount of dust adhesion. This makes it possible to reduce water intake loss because the location with the largest amount of dust adhesion is not put off. Also, since dust processing is not performed on locations with no (or only a small amount of) dust adhesion, the operating load of the dust remover 10 is reduced, making it possible to extend the life of the dust remover 10.

[0064] Furthermore, when there are multiple locations where the amount of dust adhesion exceeds the threshold, the control unit 24 may operate the dust remover 10 in order from the location closest to the current position of the dust remover 10. In this way, in addition to the above effects, it is also possible to reduce loss of movement time of the dust remover 10.

[0065] Also, while the dust remover 10 is operating at the highest priority location for garbage processing, the control unit 24 may determine the next highest priority location, and when garbage processing at the highest priority location is completed, immediately operate the dust remover 10 at the next highest priority location. This makes it possible to operate the dust remover 10 in order of priority without any pause.

[0066] In addition, when there is no next highest priority location, the control unit 24 may move the dust remover 10 in advance to the location that has been operated the most in the past in each dust removal pitch. This makes it possible to immediately start dust processing at the location where dust J is most likely to adhere based on the dust adhesion trend.

[0067] Furthermore, in such a case, when there are multiple locations that have been operated the most in the past, the control unit 24 may move the dust remover 10 in advance to the location that is closer to the current location of the dust remover 10. This makes it possible to reduce the movement loss of the dust remover 10 even when the dust remover 10 is moved in advance.

[0068] In such a case, when there are multiple locations that are closest to the current location of the dust remover 10, the control unit 24 may move the dust remover 10 in advance to the location with the smaller or larger dust removal pitch No. This makes it possible to reliably move the dust remover 10 in advance even if the number of past operations or the distance from the current location are the same.

[0069] The analysis unit 22 may also preferentially analyze images of locations to which the dust remover 10 has been moved in advance. This makes it possible to preferentially detect dust J from locations where dust J is likely to adhere, based on the dust adhesion trend.

[0070] Furthermore, a water level detection unit is provided to detect the water level h1 inside the screen 13 and the water level h2 outside the screen 13, and the control unit 24 may immediately perform dust disposal for that portion when the water level difference h2-h1 detected by the water level detection unit exceeds a threshold value, regardless of the amount of dust attached. This makes it possible to avoid a problem in which the screen 13 is broken, even if it cannot be detected that a large amount of dust J is attached for some reason.

[0071] The present invention can be realized not only as such a dust removal system 1, but also as a dust removal method in which each step corresponds to each of the characteristic functional units of such a dust removal system 1, or as a dust removal program that causes a computer to execute each of those steps. Of course, such a program can be installed in a computer via a computer-readable recording medium or a network such as the Internet N.

[0072] [Other embodiments] Although the embodiment of the present invention has been described above, the description and drawings forming a part of the disclosure are illustrative and should not be understood as limiting. Various alternative embodiments, examples and operating techniques will become apparent to those skilled in the art from this disclosure. [Explanation of symbols]

[0073] 1 Dust Removal System 10 Dust remover 11 Foundation slab 12 Pier 13 Screens 14 Running rail 15 Rake 16 Dust collector sequencer 20 Server device 21 Communications Department 21A Receiver 21B Transmitter 22 Analysis Department 23 Calculation section 24 Control Unit 25 Memory section 30 Surveillance Camera 41 Embankment 42 Main River 43 Water Gate 44 Waterways 45 Aquarium 46 Hydroelectric Power Plant h1,h2 water level J garbage

Claims

1. A dust removal system that performs dust removal at a predetermined dust removal pitch using a mobile dust remover, a receiving unit for receiving an image of the front surface of the screen; an analysis unit that analyzes the image received by the receiving unit; A calculation unit that calculates the amount of dust adhesion for each dust removal pitch based on the results of the analysis by the analysis unit; a control unit that operates the dust remover in accordance with the amount of dust adhesion calculated by the calculation unit; Equipped with When there are a plurality of locations where the amount of dust adhesion exceeds the threshold, the control unit operates the dust remover in order from the location with the greatest amount of dust adhesion, and while the dust remover is operating at the location with the highest priority for dust processing, the control unit determines the next location with the highest priority, and immediately operates the dust remover at the next location with the highest priority when dust processing is completed at the location with the highest priority. A dust removal system characterized by:

2. The dust removal system according to claim 1 , wherein when there is no next highest priority location, the control unit moves the dust remover in advance to a location that has been operated the most frequently in the past during each dust removal pitch.

3. The dust removal system according to claim 2 , wherein the analysis unit preferentially analyzes images of a location to which the dust remover has been moved in advance.

4. A dust removal method for performing dust removal at a predetermined dust removal pitch using a mobile dust remover, The computer A receiving step of receiving an image of the front of the screen; an analysis step of analyzing the image received in the receiving step; A calculation step of calculating the dust adhesion amount of each dust removal pitch based on the results of the analysis in the analysis step; a control step of operating the dust remover in accordance with the amount of dust adhesion calculated in the calculation step; Run In the control step, when there are a plurality of locations where the dust adhesion amount exceeds the threshold value, the dust remover is operated in order from the location with the greatest amount of dust adhesion, and while the dust remover is operating at the location with the highest priority for dust processing, the next location with the highest priority is determined, and when dust processing at the location with the highest priority is completed, the dust remover is immediately operated at the next location with the highest priority. A dust removal method comprising the steps of:

5. A dust removal program for performing dust removal at a predetermined dust removal pitch using a mobile dust remover, On the computer, A receiving step of receiving an image of the front of the screen; an analysis step of analyzing the image received in the receiving step; A calculation step of calculating the dust adhesion amount of each dust removal pitch based on the results of the analysis in the analysis step; a control step of operating the dust remover in accordance with the amount of dust adhesion calculated in the calculation step; Run the command, In the control step, when there are a plurality of locations where the dust adhesion amount exceeds the threshold value, the dust remover is operated in order from the location with the greatest amount of dust adhesion, and while the dust remover is operating at the location with the highest priority for dust processing, the next location with the highest priority is determined, and when dust processing at the location with the highest priority is completed, the dust remover is immediately operated at the next location with the highest priority. A dust removal program characterized by:

6. A dust removal system that performs dust removal at a predetermined dust removal pitch using a mobile dust remover, a receiving unit for receiving an image of the front surface of the screen; an analysis unit that analyzes the image received by the receiving unit; A calculation unit that calculates the amount of dust adhesion for each dust removal pitch based on the results of the analysis by the analysis unit; a control unit that operates the dust remover in accordance with the amount of dust adhesion calculated by the calculation unit; Equipped with When there are a plurality of locations where the amount of dust adhesion exceeds the threshold, the control unit operates the dust remover in order from the location closest to the current position of the dust remover. A dust removal system characterized by:

7. The dust removal system of claim 6, wherein the control unit, when the dust remover is operating at a highest priority location for garbage processing, determines the next highest priority location, and when garbage processing at the highest priority location is completed, immediately operates the dust remover at the next highest priority location.

8. The dust removal system according to claim 7 , wherein when there is no next highest priority location, the control unit moves the dust remover in advance to a location that has been operated the most frequently in the past during each dust removal pitch.

9. The dust removal system according to claim 8 , wherein the analysis unit preferentially analyzes images of a location to which the dust remover has been moved in advance.

10. A dust removal method for performing dust removal at a predetermined dust removal pitch using a mobile dust remover, The computer A receiving step of receiving an image of the front of the screen; an analysis step of analyzing the image received in the receiving step; A calculation step of calculating the dust adhesion amount of each dust removal pitch based on the results of the analysis in the analysis step; a control step of operating the dust remover in accordance with the amount of dust adhesion calculated in the calculation step; Run In the control step, when there are a plurality of locations where the amount of dust adhesion exceeds the threshold, the dust remover is operated in order from the location closest to the current position of the dust remover. A dust removal method comprising the steps of:

11. A dust removal program for performing dust removal at a predetermined dust removal pitch using a mobile dust remover, On the computer, A receiving step of receiving an image of the front of the screen; an analysis step of analyzing the image received in the receiving step; A calculation step of calculating the dust adhesion amount of each dust removal pitch based on the results of the analysis in the analysis step; a control step of operating the dust remover in accordance with the amount of dust adhesion calculated in the calculation step; Run the command, In the control step, when there are a plurality of locations where the amount of dust adhesion exceeds the threshold, the dust remover is operated in order from the location closest to the current position of the dust remover. A dust removal program characterized by:

Images