CN111712672B - Information processing apparatus and recording medium - Google Patents
Information processing apparatus and recording medium Download PDFInfo
- Publication number
- CN111712672B CN111712672B CN201880089405.3A CN201880089405A CN111712672B CN 111712672 B CN111712672 B CN 111712672B CN 201880089405 A CN201880089405 A CN 201880089405A CN 111712672 B CN111712672 B CN 111712672B
- Authority
- CN
- China
- Prior art keywords
- garbage
- height
- prediction mode
- mode information
- refuse
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000010365 information processing Effects 0.000 title claims abstract description 59
- 239000010813 municipal solid waste Substances 0.000 claims abstract description 402
- 230000002123 temporal effect Effects 0.000 claims abstract description 67
- 238000005259 measurement Methods 0.000 claims abstract description 47
- 238000012937 correction Methods 0.000 claims description 17
- 238000003756 stirring Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 14
- 239000000428 dust Substances 0.000 description 49
- 238000010586 diagram Methods 0.000 description 18
- 238000012545 processing Methods 0.000 description 13
- 230000006870 function Effects 0.000 description 7
- 230000007423 decrease Effects 0.000 description 6
- 239000002699 waste material Substances 0.000 description 6
- 238000004056 waste incineration Methods 0.000 description 5
- 238000002156 mixing Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000000611 regression analysis Methods 0.000 description 2
- 241000728173 Sarima Species 0.000 description 1
- 238000013019 agitation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000000265 homogenisation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- YHXISWVBGDMDLQ-UHFFFAOYSA-N moclobemide Chemical compound C1=CC(Cl)=CC=C1C(=O)NCCN1CCOCC1 YHXISWVBGDMDLQ-UHFFFAOYSA-N 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G5/00—Incineration of waste; Incinerator constructions; Details, accessories or control therefor
- F23G5/44—Details; Accessories
- F23G5/442—Waste feed arrangements
- F23G5/444—Waste feed arrangements for solid waste
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G5/00—Incineration of waste; Incinerator constructions; Details, accessories or control therefor
- F23G5/44—Details; Accessories
- F23G5/48—Preventing corrosion
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G5/00—Incineration of waste; Incinerator constructions; Details, accessories or control therefor
- F23G5/50—Control or safety arrangements
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G2205/00—Waste feed arrangements
- F23G2205/14—Waste feed arrangements using hopper or bin
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Incineration Of Waste (AREA)
Abstract
The time until the next garbage is put into the garbage bucket is predicted with high accuracy. An information processing device (1) is provided with: an actual measurement value acquisition unit (11) that acquires actual measurement values of the trash height at predetermined intervals; and a prediction mode information generation unit (12) that generates prediction mode information indicating a temporal change in the garbage height until the next input, based on an actual measurement value acquired during a period from the input of garbage into the garbage bucket until the next input and a pattern of temporal changes in the past garbage height in the garbage bucket.
Description
Technical Field
The present invention relates to an information processing device and the like that predict a temporal change in the amount of refuse introduced into a refuse hopper provided in a refuse incineration facility.
Background
Generally, a waste incineration facility includes: a refuse pit for temporarily storing refuse carried in by a refuse collection vehicle, a refuse hopper into which refuse in the refuse pit is periodically thrown, and an incinerator for incinerating refuse thrown into the refuse hopper. The garbage in the garbage pit is stirred by a crane, and then thrown into a garbage hopper and incinerated in an incinerator.
The amount of garbage in the garbage hopper is gradually reduced by feeding a predetermined amount of garbage into the incinerator and incinerating the garbage. In order to stably supply the garbage incinerated in the incinerator without interruption, it is necessary to put the garbage into the garbage hopper before the shortage of the garbage occurs. For example, patent document 1 discloses a crane control method in which a timing of next garbage input is calculated and a garbage input command is issued to a crane. The period of the next garbage input can be calculated based on the following items: (A) the level of the refuse (i.e., height of the refuse) loaded into the hopper by the crane, (B) the weight of the refuse loaded, and/or (C) the refuse feed rate of a refuse feeder that conveys the refuse from the hopper into the incinerator.
Documents of the prior art
Patent document
Disclosure of Invention
Technical problem to be solved
In the method described in patent document 1, the time for the height of the garbage in the garbage bucket to decrease from the upper limit level to the lower limit level is estimated using linear approximation based on the garbage feeding speed. However, since the time required for burning the garbage charged into the garbage bucket varies complicatedly depending on the nature of the garbage, an error occurs in the calculation method. If there is an error in the timing of the next garbage input, the garbage is input into the garbage hopper with a margin exceeding the necessary margin in order to avoid the shortage of garbage.
The present invention has been made in view of the above-described problems, and an object of one embodiment of the present invention is to provide an information processing apparatus and the like capable of predicting a temporal change in the height of garbage in a garbage bucket with high accuracy.
(II) technical scheme
In order to solve the above-described problem, one aspect of the present invention is an information processing apparatus that predicts a temporal change in the height of garbage in a garbage bucket, and includes: an actual measurement value acquisition unit that acquires an actual measurement value of the height of the refuse at a predetermined time interval; and a prediction mode information generation unit that generates prediction mode information indicating temporal changes in the garbage height until the next input, based on the actual measurement value acquired during a period from the input of garbage into the garbage bucket to the next input and a pattern of temporal changes in the past garbage height in the garbage bucket.
(III) advantageous effects
According to one aspect of the present invention, it is possible to predict the temporal change in the height of the refuse in the refuse hopper with high accuracy.
Drawings
Fig. 1 is a block diagram showing an example of a schematic configuration of an information processing apparatus according to embodiment 1 of the present invention.
Fig. 2 is a schematic diagram showing a schematic configuration of the refuse pit, the refuse hopper, and the incinerator.
Fig. 3 (a) is an image of the opening of the dust hopper and the dust surface in the dust hopper taken by a camera provided above the dust hopper, and fig. 3 (b) is a schematic view showing an example of a dust height measuring belt provided in the dust hopper.
Fig. 4 is a diagram showing a pattern of temporal change in the height of the garbage in the garbage bucket.
Fig. 5 is a flowchart showing an example of a process flow performed by the information processing apparatus.
Fig. 6 is a flowchart illustrating an example of processing for generating prediction mode information.
Fig. 7 is a simulation diagram for explaining the processing from the acquisition of the actual measured value of the trash height in the trash bin to the generation of the prediction mode information and the calculation of the time until the trash height reaches the predetermined level based on the generated prediction mode information.
Fig. 8 shows an example of a display screen on which at least one of the prediction mode information and the prediction time calculated based on the prediction mode information is displayed.
Fig. 9 is a block diagram showing an example of a schematic configuration of an information processing apparatus according to embodiment 2 of the present invention.
Fig. 10 is a diagram showing a schematic example of planning of crane work.
Fig. 11 is a block diagram showing an example of a schematic configuration of an information processing apparatus according to embodiment 3 of the present invention.
Fig. 12 is a diagram showing an example of a data structure of the garbage property correction coefficient.
Detailed Description
[ embodiment 1 ]
One embodiment of the present invention will be described in detail below.
(general structure of garbage incineration facility 100)
First, a waste incineration facility 100 to which the information processing device 1 according to the embodiment of the present invention can be applied will be described with reference to fig. 2. Fig. 2 is a schematic diagram showing a schematic configuration of the refuse pit 90, the refuse hopper 91, and the incinerator 94.
As shown in fig. 2, the waste incineration facility 100 includes: a refuse pit 90 for temporarily storing refuse carried in by a refuse collection vehicle, a refuse hopper 91, and an incinerator 94. Also, shown in fig. 2 are: a crane 96, a camera 92 for imaging the inside of the refuse chute 91 from above, a refuse height measuring belt 93 provided at a position imaged by the camera, a refuse feeding device 95 for feeding refuse in the refuse chute 91 to the incinerator 94, and the like.
The garbage hopper 91 is a container for storing garbage to be fed to the incinerator 94. The garbage G charged into the garbage hopper 91 is sent out from a garbage guide passage at the bottom of the garbage hopper 91 to a grate 98 of the incinerator 94 by a garbage feeder 95, and is incinerated in the incinerator 94. After the garbage is put into the garbage hopper 91, the garbage is sent to the incinerator 94 a plurality of times (for example, 10 to 20 times). The following increase and decrease patterns are thus present, namely: the amount and height of the garbage in the garbage hopper 91 sharply increase at the time of input and then decrease with the passage of time. The mode of temporal change in the height of the garbage in the garbage bucket 91 will be described below with reference to specific examples.
The camera 92 and the garbage height measuring belt 93 are provided for measuring the height of the garbage in the garbage can 91. The upper end of the dust height measuring belt 93 is fixed to the upper end of the dust hopper 91, and the dust height measuring belt 93 is provided so as to hang down toward the inside of the dust hopper 91. The camera 92 is provided at a position where it can photograph the surface of the dust G in the dust hopper 91 and the dust height measuring belt 93. The camera 92 and the trash level measuring tape 93 will be described later.
The crane 96 is used to move and stir the garbage G in the garbage pit 90 or to throw the garbage G in the garbage pit 90 into the garbage hopper 91. The crane 96 includes a grab 97 suspended by a wire, and the crane 96 can grab the garbage in the garbage pit 90 or drop the grabbed garbage by opening and closing the grab 97.
The crane 96 is a crane controlled by the crane control device 4 (not shown), and includes the above-described grab 97, a wire rod for moving the grab 97 up and down, and the like. The crane 96 is controlled in such a way that: the work instructed by the crane controller 4 is performed by moving along a rail provided above the refuse chute 90 and the refuse bucket 91. For example, when stirring of the garbage G in the garbage pit 90 is instructed, the crane 96 lowers the grapple 97 to the instructed garbage grasping position in the garbage pit 90 and grasps the garbage at the position. Then, the grapple 97 is moved to the indicated trash release position, and the grapple 97 is opened at the position, thereby performing stirring. That is, the garbage stirring operation is an operation of picking up and putting down the garbage. When the garbage in the garbage pit 90 is instructed to be thrown into the garbage bucket 91, the crane 96 grabs the garbage G sufficiently stirred in the garbage pit 90, moves the grab 97 above the garbage bucket 91, and drops the grabbed garbage into the garbage bucket 91.
(Camera 92 and garbage height measuring tape 93)
Next, the camera 92 and the dust height measuring belt 93 provided for measuring the height of the dust in the dust hopper 91 will be described with reference to fig. 3. Fig. 3 (a) is a dust hopper image in which the opening of the dust hopper 91 and the surface of the dust G in the dust hopper 91 are captured by a camera 92 provided above the dust hopper.
The camera 92 is, for example, a CCD camera, and captures a trash hopper image as shown in (a) of fig. 3 during operation of the trash incineration apparatus 100. The trash can image is sent from the camera 92 to the trash level measuring device 2 (not shown). The dust height measuring device 2 calculates the length of the dust height measuring belt 93 exposed upward from the dust surface in the received image by analyzing the captured image, and measures the dust height at the time of capturing the image.
The dust height measuring belt 93 may be provided with a scale indicating a distance from the lowest portion (bottom portion) of the dust hopper 91. Fig. 3 (b) is a schematic diagram showing an example of the dust height measuring belt 93 provided in the dust hopper 91. The dust height measuring belt 93 may be provided with a horizontal line at a position corresponding to a predetermined dust height level (L1 to L3), for example. The distance between the garbage height levels (L1 to L3) and the current garbage height can be measured based on which of the lines is exposed on the upper surface of the garbage G, the distance between the exposed line and the garbage surface, and the like. For example, in fig. 3 (a), there are shown: the line of the refuse height levels L1 and L2 is exposed, and the line of the refuse height level L3 is not exposed because the refuse G is embedded.
Here, when three of L1 to L3 are set to a predetermined height level of garbage, the following can be set: a further input level L1, an input command level L2, and a garbage shortage level L3. Three or more levels may be set as the predetermined height level of the garbage.
Here, the reinjectable level L1 means: even if the garbage is put into the garbage bucket 91, the garbage does not overflow from the garbage bucket 91 to the level (garbage height). In this stage, generally, the garbage is not thrown in, but the operation of moving and stirring the garbage in the garbage pit 90 is performed preferentially.
The drop command level L2 refers to: a level (garbage height) at which a next garbage input is instructed into the garbage hopper 91 is issued. When the input command level is reached, a command to input the garbage into the garbage hopper 91 is issued. A certain time is required from the time when the crane 96 is instructed to throw the garbage to the garbage bucket 91. This is because the following operations (1) to (4) are generally required. (1) Moving the crane 96 to a predetermined position in the garbage pit 90 where the garbage is stirred; (2) grabbing garbage; (3) moving the crane 96 to the position of the dump bucket 91; (4) the garbage in the grab 97 is thrown into the garbage bucket 91. The input command level L2 is preferably set in consideration of the time required for the operations (1) to (4).
The insufficient garbage level L3 indicates: a level (garbage height) at which the garbage transported from the garbage hopper 91 to the incinerator 94 is insufficient (so-called "garbage exhaustion"). During operation of the incineration plant 100, adjustment is made to avoid that the height of the refuse in the refuse hopper 91 reaches the refuse shortage level L3.
(mode of temporal change in height of refuse in refuse hopper 91)
Next, a typical pattern of temporal change in the height of the garbage in the garbage bucket 91 will be described with reference to fig. 4. Fig. 4 is a diagram showing a pattern of temporal change in the height of the garbage in the garbage bucket 91. In fig. 4, the vertical axis represents the height of the dust in the dust hopper 91, and the horizontal axis represents time.
As described above, the garbage put into the garbage bin 91 is fed from the garbage guide passage at the bottom of the garbage bin 91 to the grate 98 of the incinerator 94 by the garbage feeder 95, and is incinerated in the incinerator 94. Therefore, as the garbage is fed from the garbage bucket 91 to the incinerator 94, the height of the garbage in the garbage bucket gradually decreases. When the height of the garbage in the garbage bucket 91 is lowered between the restartable level L1 and the insufficient garbage level L3, the height of the garbage in the garbage bucket is rapidly increased by the next garbage input. Thus, the height of the garbage in the garbage bucket 91 periodically repeats such increase and decrease as gradually decreasing after a sudden increase. Hereinafter, a period from when the garbage is put into the garbage bucket 91 to when the next garbage is put, that is, a period in which the garbage level gradually decreases after the garbage is put, is referred to as a "period".
The period T1 represents a period from when the garbage is put into the garbage bucket 91 to when the next garbage is put into the garbage bucket, and the same applies to the period T2 and the period T3. The period T4 is divided into a first half (period T4-1) and a second half (period T4-2), and the first half (period T4-1) is shown from the time of garbage input following the period T3 until the garbage height is actually measured three times; the second half (period T4-2) was not measured for height of waste.
In fig. 4, a part of the measured trash height is represented by "x", black star, black circle, and black triangle; a portion of the predicted garbage height is represented by blank stars, circles, and triangles.
The information processing apparatus 1 predicts temporal changes in the height of the garbage in the garbage bucket 91 in each cycle. That is, in the period T4, the information processing device 1 generates prediction pattern information indicating the temporal change in the garbage height in the period T4-2, based on the actual measurement value (x in the period T4-1) acquired up to now and the pattern of the temporal change in the garbage height in the past period in the garbage bucket 91. In addition, the information processing apparatus 1 predicts, using the generated prediction mode information: the predicted time t1 to become the reinvestable level L1, the predicted time t2 to become the input command level L2, and the predicted time t3 to become the garbage shortage level L3 will be described in detail later. Hereinafter, the time elapsed from the start of one cycle will be simply referred to as "time".
(configuration of information processing apparatus 1)
Next, the configuration of the information processing apparatus 1 according to an embodiment of the present invention will be described with reference to fig. 1. Fig. 1 is a block diagram showing an example of a schematic configuration of an information processing apparatus 1.
The information processing device 1 includes: a control unit 10 that comprehensively controls each unit of the information processing apparatus 1; and a storage unit 20 for storing various data used by the information processing device 1. The control unit 10 includes: an actual measurement value acquisition unit 11, a prediction mode information generation unit 12, and a period specification unit 13. On the other hand, the storage unit 20 stores past pattern information 21. The past pattern information 21 means: information indicating a pattern of temporal changes in the height of the waste in the past in the waste hopper 91 of the waste incineration facility 100. The past pattern information 21 includes information indicating a plurality of the above-described patterns. In the graph shown in fig. 7 (c), the garbage height, time, and probability are normalized.
The waste height measuring device 2 measures the height of the waste in the waste hopper 91 at predetermined intervals (for example, at intervals of 1 minute). Specifically, the trash height measuring device 2 executes the following (1) to (3). (1) Acquiring images of the garbage hopper at intervals of specified time; (2) and (3) analysis: a region corresponding to the dust height measuring belt 93 included in the dust hopper image and a region corresponding to the surface of the dust G in the dust hopper 91; (3) the measured value of the trash height in the trash bin 91 at the time when the image of the trash bin is captured is measured. The method of measuring the height of the refuse is not limited to this example, and the height may be measured using a sensor device such as a distance sensor.
The measured value acquiring unit 11 acquires measured values of the height of garbage in the garbage bucket 91 at predetermined time intervals. For example, the measured value acquiring unit 11 acquires the measured value of the height of the garbage in the garbage bucket 91 each time the height of the garbage is measured by the garbage height measuring device 2. The measured value acquisition unit 11 sequentially stores the acquired measured values in the storage unit 20 of the storage unit 20.
The prediction mode information generating unit 12 generates prediction mode information. Here, the prediction mode information means: information indicating the temporal change in the garbage height until the next garbage loading is obtained from an actual measurement value acquired during a period from the garbage loading into the garbage bucket 91 to the next garbage loading and a pattern of temporal changes in the garbage height in the past in the garbage bucket 91. For example, the information may be information indicating a temporal change in the garbage height from the time when the actual measurement value is finally acquired to the time when the garbage is next thrown into the garbage can 91. Here, the case where the prediction mode information is a curve showing a temporal change in the predicted value of the trash height subsequent to the acquired measured value is described as an example, but the present invention is not limited thereto. For example, the prediction mode information may be a nonlinear function that approximately represents the temporal change in the future garbage height. In addition, in the case where the prediction mode information is an approximate function, an arbitrary nonlinear function may be used. The prediction mode information generation unit 12 regenerates the prediction mode information every time the garbage is loaded into the garbage bucket 91.
The period determination unit 13 determines, using the prediction mode information generated by the prediction mode information generation unit 12: the garbage level in the garbage bucket 91 is equal to the restartable level L1, and then reaches a predetermined lower limit. Here, the predetermined lower limit may be, for example, a garbage shortage level L3, and in this case, the garbage input period is: the height of the garbage in the garbage hopper 91 is equal to or lower than the level L1 at which the garbage can be further thrown in and higher than the level L3 at which the garbage is insufficient. The period determination unit 13 may calculate the predicted times t1 to t3 based on the prediction mode information generated by the prediction mode information generation unit 12, and may set the predicted times t1 to t3 as predicted times at which the height of the garbage in the garbage bucket 91 reaches the restockable level L1, the input command level L2, and the insufficient garbage level L3, respectively.
(overview of processing performed by the information processing apparatus 1)
The flow of processing performed by the information processing apparatus 1 will be described with reference to fig. 5. Fig. 5 is a flowchart showing an example of a process flow performed by the information processing apparatus 1.
Every time the dust height measuring device 2 measures the dust height in the dust hopper 91, the actual measurement value acquiring unit 11 acquires an actual measurement value as a result of the measurement (step S1).
Next, the prediction mode information generating unit 12 receives the actual measurement value from the actual measurement value acquiring unit 11, and reads the pattern of the past temporal change in the garbage height in the garbage bucket 91 from the past pattern information 21 (step S2). Then, the prediction mode information generation unit 12 generates: prediction mode information indicating temporal changes in the height of the refuse in the refuse hopper 91 from the time when the actual measurement value was last obtained to the next refuse input (step S3). Further, step S3 will be described in detail later based on fig. 6.
Next, the period determination section 13 calculates, based on the prediction mode information generated in step S3: the estimated time until the height of the garbage in the garbage bucket 91 reaches a predetermined level (step S4). The period specification unit 13 may specify the garbage input period.
The information processing apparatus 1 outputs at least one of the prediction mode information and the prediction time to an external apparatus (for example, the display apparatus 3) (step S5). The output control of step S5 may be executed by the prediction mode information generation unit 12 when the prediction mode information is output; in the case of outputting the predicted time, it may be performed by the period determination section 13. Further, a module for controlling the output of such information may be added to the control unit 10, and the output control of step S5 may be executed by this module.
Next, the measured value acquisition unit 11 determines whether or not the following garbage is loaded into the garbage bucket 91 (step S6). Since the crane 96 is driven when the garbage is loaded, the determination may be made based on whether or not the crane 96 receives a signal for executing the garbage loading operation from the crane control device 4. Note that the method of determination is not particularly limited, and for example, it may be determined that the following refuse is thrown when the refuse height measured by the refuse height measuring device 2 changes from decreasing to increasing.
If it is determined in step S6 that the following garbage is not thrown in (no in step S6), the actual measurement value acquisition unit 11 returns to the process of step S1 and acquires the next actual measurement value. In this case, the prediction mode information generator 12 generates prediction mode information corresponding to a series of actual measurement values obtained by adding the actual measurement value acquired immediately before and the new actual measurement value through the processing in the subsequent steps S2 and S3. In this way, by generating new prediction mode information based on the reacquired measured values, it is possible to improve the prediction accuracy as one cycle progresses.
When it is determined in step S6 that the following garbage has been thrown (yes in step S6), the measured value acquisition unit 11 also acquires the measured value of the garbage height (step S7). Then, the process proceeds to step S2 after step S7. In this case, the prediction mode information generator 12 generates prediction mode information corresponding to the actual measurement value measured for the newly input garbage through the processing in steps S2 and S3.
After one cycle is completed, the prediction mode information generation unit 12 may add prediction mode information generated using actual measurement values acquired in the cycle to the past mode information 21 stored in the storage unit 20.
(Generation of prediction mode information)
Next, a flow of processing for generating prediction mode information will be described with reference to fig. 7 and fig. 6. Fig. 6 is a flowchart illustrating an example of processing for generating prediction mode information. Fig. 7 is a diagram for explaining the processing from the acquisition of the measured value of the dust height in the dust hopper 91 to the generation of the prediction mode information and the calculation of the time until the dust height reaches the predetermined level based on the generated prediction mode information.
An example of the processing flow of the prediction mode information generation unit 12 will be described with reference to fig. 6. The prediction information generation unit 12 that executes the processing shown in fig. 6 statistically analyzes a plurality of patterns of temporal changes in the past trash level including temporal changes similar to the temporal changes in the actual measurement values, obtains a probability distribution regarding the temporal changes in the trash level, and generates prediction pattern information based on the probability distribution.
First, the prediction pattern information generation unit 12 extracts a plurality of patterns of temporal changes in the past garbage height from the past pattern information 21, the patterns including temporal changes similar to the temporal changes in the measured values of the garbage height in the garbage bucket 91 (step S31). The change with time of the measured value of the dust height in the dust hopper 91 can be acquired by the measured value acquisition unit 11 during a period from the start time of one cycle to the predicted start time t 0. The prediction start time t0 is: the time when the prediction mode information generation unit 12 starts generating the prediction mode information. Fig. 7 (a) shows temporal changes in the garbage height at the time when the measured values P1 to P3 are acquired by the measured value acquisition unit 11. Fig. 7 (b) shows four patterns of temporal changes in the past garbage height, which are extracted from the past pattern information 21 by the prediction pattern information generator 12 and include temporal changes similar to the temporal changes in the garbage heights of the actual measurement values P1 to P3. It is preferable that the past pattern stored in the past pattern information 21 is normalized with respect to the garbage height and the time. Thus, the prediction pattern information generation unit 12 extracts past pattern information similar to the tendency of temporal changes in the garbage level in the current cycle from the past pattern information in the cycles in various past situations.
Next, the prediction pattern information generation unit 12 statistically analyzes the extracted pattern of temporal changes in the past garbage height, and calculates a probability distribution about the temporal changes in the garbage height (step S32). Fig. 7 (c) shows a probability distribution calculated by statistically analyzing the pattern of the extracted temporal change in the past garbage height and how the subsequent garbage height changes with time.
Next, the prediction mode information generation unit 12 generates, as the prediction mode information, a mode of temporal change in the garbage height having the highest probability in the calculated probability distribution (step S33). In fig. 7 (d), a broken line Z represents a curve depicting a temporal change in the achieved (i.e., measured) garbage height having the highest probability in the probability distribution as shown in fig. 7 (c). The curve is also an approximate curve showing the highest probability of speed, which is related to the speed of garbage fed from the garbage hopper 91 to the incinerator 94.
The prediction mode information generation unit 12 generates prediction mode information as indicated by the solid line (corresponding to the broken line Z in fig. 7 d) shown in fig. 7 e, and proceeds to step S4 of fig. 5. As shown in fig. 7 e, by using the generated prediction mode information, it is possible to predict the predicted time t1 (marked with a star in the figure) at which the reinjection level L1 is reached. Likewise, it is also possible to predict: a predicted time t2 (indicated by a blank circle in the figure) at the input command level L2 and a predicted time t3 (indicated by a blank triangle in the figure) at the garbage shortage level L3.
By predicting the time until the next garbage is input with high accuracy in this way, the operation plan of the crane 96 until the next garbage is input into the garbage bucket 91 can be optimized. This enables the work of replacing and stirring the garbage in the garbage pit 90 to be performed efficiently, and the homogenization of the garbage in the garbage pit 90 can be further improved. The combustion stability of the refuse in the incinerator can be improved if the homogeneity of the refuse put into the refuse hopper 91 is improved.
< modification example >
Although the above description has been made of an example in which the prediction mode information generation unit 12 generates the prediction mode information by using a statistical analysis method, the method of generating the prediction mode information is not limited to this. The prediction mode information generation unit 12 may calculate a prediction value of the garbage height to be measured subsequently by using a time series estimation method such as a kalman filter, for example, and generate prediction mode information.
The prediction mode information generation unit 12 may be configured to repeat: the measured value of the trash height is acquired from the measured value acquisition unit 11 at a predetermined interval, and a predicted value of the trash height at the predetermined interval is calculated. As such a configuration, the prediction mode information generation unit 12 may employ, for example, a kalman filter. In this case, for example, when (1) the current garbage height to be observed and (2) the predicted value calculated a predetermined time ago are input to the kalman filter, the prediction mode information generation unit 12 may be configured to use data output from the kalman filter as the predicted value of the next garbage height. For example, when the measured value P3 is acquired and the predicted value of the garbage height after a predetermined time is calculated, the prediction mode information generation unit 12 inputs the measured value P3 and the predicted value output at the time of observing the measured value P2 to the kalman filter.
Alternatively, the prediction mode information generating unit 12 may estimate the current speed of the refuse being fed from the refuse hopper 91 to the incinerator 94 (for example, at the time when the measured value P3 of fig. 7 is measured) based on the temporal change in the measured value (for example, P1 to P3 of fig. 7) acquired by the measured value acquiring unit 11. In this case, the prediction mode information generation unit 12 calculates a prediction value corresponding to the garbage height to be measured subsequently using the estimated speed, and generates prediction mode information.
The prediction mode information generation unit 12 may estimate the speed of the refuse fed from the inside of the refuse hopper 91 to the incinerator 94 at the time of measurement of the actual measurement value P4 again based on an error between the height of the refuse measured after the actual measurement value P3 in fig. 7 (for example, the actual measurement value P4) and the above-described calculated predicted value. In this case, the prediction mode information generation unit 12 also calculates a prediction value corresponding to the garbage height to be measured subsequently using the estimated speed, and generates prediction mode information.
In this way, the prediction mode information generation unit 12 may estimate the speed of the refuse being fed from the inside of the refuse hopper 91 to the incinerator 94 at the current time each time the actual measurement value is acquired. The prediction mode information generation unit 12 may be configured to sequentially calculate a prediction value corresponding to a garbage height measured subsequently by a time series estimation method using the estimated speed, and generate prediction mode information.
The prediction mode information generation unit 12 may be configured to generate the prediction mode information by using the following method, for example. Regression analysis, multiple regression analysis, AR model (auto-correlation model), ARIMA model (auto-regressive moving average model), SARIMA model (seasonal auto-regressive sum moving average model), LSTM (one of deep learning).
(display example)
In step S5 of fig. 5, at least one of the prediction mode information generated by the prediction mode information generation unit 12 and the prediction time calculated by the period specification unit 13 may be output to the display device 3. Fig. 8 is a diagram showing an example of a display screen on which at least one of the prediction mode information and the prediction time calculated based on the prediction mode information is displayed.
The display device 3 in the example shown in fig. 8 (a) displays: an image of the opening of the dust hopper 91 and the surface of the dust G in the dust hopper 91 is captured by a camera 92 provided above the dust hopper. In the example of fig. 8 (a), the display area 31 displays "time required until reset: 123 seconds ". When the time required until the reinjection is displayed, the period specifying unit 13 may calculate the predicted time t1 to the reinjection level L1 and calculate the time from the present to the predicted time t1 as the required time. In the example of fig. 8 (a), the display area 31 is located at the upper end of the display screen, but the present invention is not limited to the above embodiment as long as visibility of the trash can image can be ensured.
Fig. 8 (b) shows an example of a display screen showing the temporal change in the height of the garbage in the garbage hopper 91. As shown in this example, the display device 3 can display the measured value of the trash level in the trash bin 91, the pattern of the past change in trash level with time, the generated prediction pattern information, and the like. As shown in the display area 32 of fig. 8 (b), the display screen may display: predicted time t1, predicted time t2, and predicted time t 3. Further, in the figure are shown: prediction mode information generated when 15 minutes has elapsed since the garbage was charged into the garbage bucket 91, and a temporal change in the level at which the garbage in the garbage bucket 91 can be charged again.
This screen display shows: the actual measurement value acquiring unit 11 acquires the actual measurement value (marked by a square in the figure) at each time point for about 16 to 18 minutes, and the prediction mode information generated by the prediction mode information generating unit 12 marked by a blank circle and a thick solid line. Also shown in this screen display are: the period specification unit 13 specifies the following prediction time (see the display area 32 in fig. b) based on the generated prediction mode information. The predicted time for the height of the garbage in the garbage bucket 91 to reach the restartable level is "27.23 (minutes)", the predicted time for the level of the input instruction to reach "31.28 (minutes)", and the predicted time for the level of the insufficient garbage to reach "35.08 (minutes)". In addition, although a plurality of patterns including temporal changes in the past garbage height for generating the prediction pattern information, which include temporal changes similar to the temporal changes in the actual measurement values, are also shown by solid lines in fig. 8 (b) (corresponding to broken lines in fig. 7 (d)), the display of these pieces of information is not essential.
In this way, by displaying at least one of the prediction mode information and the prediction time determined based on the prediction mode information on the display device 3, it is possible to appropriately notify a person or the like who monitors the working state in the waste incineration facility 100 of: the current state of the garbage level in the garbage bucket 91 and information on the timing of the next garbage input.
[ embodiment 2 ]
Another embodiment of the present invention will be described below. For convenience of explanation, members having the same functions as those described in the above embodiments are given the same reference numerals, and the description thereof will not be repeated.
(construction of information processing apparatus 1 a)
The schedule for the information processing device 1a to operate the crane 96 may be determined using information such as the predicted time t1 at which the height of the garbage in the garbage bucket 91 reaches the restartable level L1, the predicted time t2 at which the garbage reaches the loading command level L2, and the predicted time t3 at which the garbage becomes insufficient level L3, and the crane controller 4 may be instructed according to the determined schedule. The information processing device 1a having such a configuration can automate the control of the crane operation. The information processing device 1a having such a configuration will be described below.
Here, the configuration of the information processing apparatus 1a will be described with reference to fig. 9. Fig. 9 is a block diagram showing an example of a schematic configuration of an information processing apparatus according to embodiment 2 of the present invention.
The control unit 10a of the information processing device 1a includes: an actual measurement value acquisition unit 11, a prediction mode information generation unit 12, a period specification unit 13, a schedule specification unit 14, and a command output unit 15. In addition, the storage unit 20a of the information processing apparatus 1a stores the past pattern information 21, the garbage information 22, and the time data 23 required for the job.
The spam 22 includes: information on the current state of the garbage in the garbage pit 90 (the degree of requirement for the stirring operation and the replacement operation), information on the nature of the garbage thrown into the garbage hopper 91, and the like.
The operation required time data 23 is data on time secured for each operation of "stirring", "replacing", and "garbage throwing" by the crane 96.
The schedule determining unit 14 determines the execution time of the next garbage input into the garbage bucket 91 during the garbage input period, and determines the number of times of execution and the execution time of the job performed in the garbage pit 90 until the execution time. For example, referring to the garbage information 22 and the time data 23 required for the operation, when there are a plurality of operations to be performed by the crane 96 before the next garbage is loaded into the garbage can 91, the type, combination, and order of the operations are determined as a plan for the crane operation.
The command output unit 15 outputs a command to the crane control device 4 so that the operation of the crane 96 is controlled based on the plan determined by the plan determination unit 14.
In this way, the information processing device 1a can specify a plan for operating the crane 96 and issue a command to the crane control device 4 according to the specified plan. The information processing device 1a specifies a plan for efficiently combining crane operations, and controls the crane according to the plan. This can improve the work efficiency of the crane 96.
(work plan)
Fig. 10 is a diagram showing a schematic example of the crane operation plan determined by the plan determination unit 14. In the drawings, the modes 1 to 4 shown here are not limited to these, and the modes 1 to 4 shown here are only examples of modes in which planning at the time of crane operation is combined with three types of operations, that is, "stirring", "replacing", and "putting in".
In pattern 1, the operation of stirring the garbage in the garbage pit 90 is repeated (four times in the example shown in fig. 10) until the next garbage is loaded. For example, when the trash information 22 indicates that there is no trash stirred in the trash pit 90 to an extent suitable for the input, the plan specification unit 14 may specify such a plan.
Mode 4 is a plan for inserting a plurality of replacement jobs in addition to the agitation job. For example, when the garbage information 22 stores information indicating a situation in which the demand for movement and replacement of garbage in the garbage pit 90 is high, the plan specification unit 14 may specify such a plan.
The plan determination unit 14 determines a plan of the stirring operation including the garbage in the garbage pit 90 during the garbage input period. This makes it possible to feed the garbage into the garbage hopper 91 while stirring the garbage sufficiently, and to stably burn the garbage fed to the incinerator 94 and incinerated.
[ embodiment 3 ]
Another embodiment of the present invention will be described below. For convenience of explanation, members having the same functions as those described in the above embodiments are given the same reference numerals, and the description thereof will not be repeated.
(construction of information processing apparatus 1 b)
The prediction pattern information is generated by analyzing a pattern of temporal changes in the height of the garbage in the past, and therefore may include errors due to differences in the properties of the garbage charged into the garbage bucket 91. Therefore, in order to further improve the accuracy of the prediction mode information, the prediction mode information may be corrected in consideration of the nature of the garbage charged into the garbage bucket 91. The information processing device 1b having such a configuration will be described below.
The time required for burning the garbage in the incinerator 94 varies depending on the nature of the garbage charged into the garbage hopper 91. For example, the following tendency is exhibited: in the case of heavy and wet refuse, the time required for incineration is longer than for light and dry refuse. Therefore, the information processing apparatus 1b of the present embodiment has functions of: the prediction mode information is appropriately corrected according to the nature of the garbage charged into the garbage bucket 91.
Here, the configuration of the information processing apparatus 1b will be described with reference to fig. 11. Fig. 10 is a block diagram showing an example of a schematic configuration of an information processing apparatus according to embodiment 3 of the present invention.
The control unit 10b of the information processing device 1b includes: an actual measurement value acquisition unit 11, a prediction mode information generation unit 12, and a prediction mode information correction unit 16. In addition, the storage unit 20a of the information processing device 1b stores a garbage property correction coefficient 24 in addition to the past pattern information 21.
The prediction mode information correction unit 16 acquires weight information indicating the weight of the garbage put into the garbage bucket 91 from the crane control device 4 that controls each operation of the crane 96. The crane control device 4 may measure the weight when lifting the refuse gripped by the grapple 97 in the refuse pit 90, and may output a value related to an amount of increase from the weight of the empty grapple 97 to the prediction mode information correction unit 16 as the weight information. Alternatively, a value related to a change in weight of the bucket 97 for grasping the refuse in the refuse pit 90 before and after opening the bucket 91 at the upper portion thereof may be output as the weight information.
However, the volume of the garbage caught by opening and closing the grapple 97 is approximately determined by the internal space when the grapple 97 is closed. Therefore, when the same size of the grapple 97 is used, the weight indicated by the weight information has a proportional relationship with the specific gravity of the garbage thrown into the garbage bucket 91. That is, if the weight information indicates heavy garbage, it is assumed that the garbage is wet and hard to burn, and if the weight information indicates light garbage, it is assumed that the garbage is dry and easy to burn.
The prediction mode information correction unit 16 refers to the garbage property correction coefficient 24 as shown in fig. 12, and specifies a garbage property correction coefficient corresponding to the weight indicated by the acquired weight information. Fig. 12 is a diagram showing an example of the data structure of the garbage property correction coefficient 24. In the example shown in fig. 12, the weight V is set to be lighter than the weight W.
For example, if the weight of the refuse indicated by the weight information is less than V, the refuse put into the refuse hopper 91 is dry and easily burned compared with the average refuse in the past. At this time, the prediction mode information correction unit 16 corrects the prediction mode information generated by the prediction mode information generation unit 12 using the garbage property correction coefficient C1. Thus, the corrections can be: compared with the prediction mode information generated by the prediction mode information generating unit 12, the temporal change in the garbage height due to the operation of sending the garbage charged into the garbage bucket 91 to the incinerator 94 is made rapid, and the time until the garbage reaches a predetermined garbage height level is shortened.
On the other hand, if the weight of the refuse indicated by the weight information is W or more, the refuse put into the refuse hopper 91 is wet and difficult to burn compared with the conventional refuse on average. At this time, the prediction mode information correction unit 16 corrects the prediction mode information generated by the prediction mode information generation unit 12 using the garbage property correction coefficient C3. Thus, the corrections can be: the change with time of the garbage height based on the feeding work of the garbage charged into the garbage bucket 91 to the incinerator 94 is made gentle compared with the prediction mode information generated by the prediction mode information generating unit 12, and the time until the garbage reaches a predetermined garbage height level is prolonged.
In this way, each time the garbage is loaded into the garbage bucket 91, the prediction mode information is corrected in consideration of the nature of the loaded garbage, so that the accuracy of the prediction mode information can be further improved, and the timing of the next garbage loading into the garbage bucket 91 can be accurately predicted.
[ example of implementation using software ]
The control modules (particularly, the control units 10, 10a, and 10b) of the information processing apparatuses 1, 1a, and 1b may be implemented by logic circuits (hardware) formed on an integrated circuit (IC chip) or the like, or may be implemented by software.
In the latter case, the information processing apparatuses 1, 1a, and 1b include a computer that executes instructions of a program, which is software for realizing the respective functions. The computer includes, for example, one or more processors, and a computer-readable recording medium storing the program. In the computer, the processor reads the program from the recording medium and executes the program, thereby achieving the object of the present invention. As the processor, for example, a CPU (Central Processing Unit) can be used. As the recording medium, a "non-transitory tangible medium" may be used, and for example, a magnetic tape, an optical disk, a card, a semiconductor Memory, a programmable logic circuit, or the like may be used in addition to a ROM (Read Only Memory) or the like. The program may be provided with a RAM (Random Access Memory) or the like for developing the program. In addition, the program may be provided to the computer via any transmission medium (a communication network, radio waves, or the like) capable of transmitting the program. Further, an embodiment of the present invention may be implemented by a data signal embedded in a carrier wave, the data signal being embodied by electronically transmitting the program.
The present invention is not limited to the above embodiments, and various modifications can be made within the scope shown in the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments are also included in the technical scope of the present invention.
[ conclusion ]
In order to solve the above-described problem, one aspect of the present invention is an information processing device (1, 1a, 1b) that predicts a temporal change in the height of refuse in a refuse hopper, and that includes: an actual measurement value acquisition unit (11) that acquires the actual measurement value of the trash height at predetermined intervals; and a prediction mode information generation unit (12) that generates prediction mode information indicating a temporal change in the garbage height until the next input, based on the actual measurement value acquired during a period from the input of garbage into the garbage bucket to the next input and a pattern of temporal changes in the past garbage height in the garbage bucket.
According to the above configuration, the prediction mode information indicating the temporal change in the garbage height until the next input is generated based on the actual measurement value acquired during the period from the garbage input to the garbage hopper until the next input and the pattern of the temporal change in the past garbage height. The prediction mode information thus generated reflects both the actual measurement value and the past mode. Therefore, by using the prediction mode information, even when the temporal variation in the garbage level indicates various modes, the temporal variation in the garbage level can be predicted with high accuracy.
The prediction pattern information generation unit may calculate a probability distribution regarding temporal changes in the garbage height from a plurality of patterns of temporal changes in the garbage height in the past, and generate the prediction pattern information based on the probability distribution.
According to the above configuration, a plurality of patterns of temporal changes in the garbage height in the past are used, and based on these patterns, prediction pattern information is generated based on a probability distribution regarding the temporal changes in the garbage height. This makes it possible to predict the temporal change in the trash height with higher accuracy.
Further, the information processing apparatus may further include: a period determination unit (13) that determines a garbage input period until the garbage height in the garbage bucket reaches a predetermined lower limit value, using the prediction mode information; and a plan determination unit (14) that determines the number of times and the timing of execution of a job to be performed in the refuse pit during the refuse input period, wherein the job includes a stirring job for stirring refuse in the refuse pit.
According to the above configuration, the stirred garbage can be sent to the incinerator and incinerated. This enables stable incineration of refuse.
In addition, the information processing apparatus may be configured to correct the prediction mode information so that the temporal change in the height of the garbage is more gradual as the weight of the garbage charged into the garbage bucket is larger during the garbage charging.
There is a tendency that: as the weight of the garbage charged into the garbage bucket increases, the time required for incineration in the incinerator increases, and the temporal change in the garbage height due to the operation of sending the garbage from the garbage bucket to the incinerator becomes gradual. According to the above configuration, the prediction mode can be appropriately corrected according to the property of the garbage thrown into the garbage bucket.
In this case, an information processing program for realizing the information processing apparatus by a computer by operating the computer as each unit (software element) provided in the information processing apparatus, and a computer-readable recording medium for recording the information processing program also fall within the scope of the present invention.
Description of the reference numerals
1. 1a, 1 b-information processing means; 11-an actual measurement value acquisition unit; 12-a prediction mode information generating section; 13-a period determination section; 14-a plan determination section; 90-a garbage pit; 91-a garbage hopper; 94-incinerator.
Claims (5)
1. An information processing device that predicts a temporal change in the height of trash in a trash hopper, comprising:
an actual measurement value acquisition unit that acquires an actual measurement value of the height of the refuse at a predetermined time interval; and
a prediction mode information generation unit that generates prediction mode information indicating an elapsed change in the garbage height until the next input, based on the actual measurement value acquired during a period from the garbage input to the garbage bucket until the next input and a mode of the elapsed change in the garbage height in the garbage bucket,
the prediction pattern information generation unit obtains a probability distribution regarding temporal changes in trash level from a plurality of patterns of temporal changes in trash level in the past, and generates the prediction pattern information based on the probability distribution.
2. The information processing apparatus according to claim 1, further comprising:
a period specifying unit that specifies a garbage input period until a time point at which a garbage height in the garbage bucket reaches a predetermined lower limit value, using the prediction mode information; and
a schedule determination unit that determines the number of times and the time of execution of a job performed in the refuse pit during the refuse input period,
The operation includes an operation of stirring the garbage in the garbage pit.
3. A computer-readable non-transitory recording medium in which an information processing program causes a computer to function as the information processing apparatus according to claim 1,
the information processing program is configured to cause a computer to function as the measured value acquisition unit and the prediction mode information generation unit.
4. An information processing device that predicts a temporal change in the height of trash in a trash hopper, comprising:
an actual measurement value acquisition unit that acquires an actual measurement value of the height of the refuse at a predetermined time interval; and
a prediction mode information generation unit that generates prediction mode information indicating an elapsed change in the garbage height until the next input, based on the actual measurement value acquired during a period from the garbage input to the garbage bucket until the next input and a mode of the elapsed change in the garbage height in the garbage bucket,
the garbage can loading device further comprises a prediction mode information correction unit for correcting the prediction mode information so that the weight of garbage loaded into the garbage bucket during the garbage loading process is larger, the change of the height of the garbage with time is gentler.
5. A computer-readable non-transitory recording medium in which an information processing program causes a computer to function as the information processing apparatus according to claim 4,
the information processing program causes a computer to function as the measured value acquisition unit, the prediction mode information generation unit, and the prediction mode information correction unit.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2018-025290 | 2018-02-15 | ||
| JP2018025290A JP6970033B2 (en) | 2018-02-15 | 2018-02-15 | Information processing equipment and information processing programs |
| PCT/JP2018/040179 WO2019159439A1 (en) | 2018-02-15 | 2018-10-29 | Information processing device and information processing program |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111712672A CN111712672A (en) | 2020-09-25 |
| CN111712672B true CN111712672B (en) | 2022-06-14 |
Family
ID=67619261
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880089405.3A Active CN111712672B (en) | 2018-02-15 | 2018-10-29 | Information processing apparatus and recording medium |
Country Status (4)
| Country | Link |
|---|---|
| EP (1) | EP3754256B1 (en) |
| JP (1) | JP6970033B2 (en) |
| CN (1) | CN111712672B (en) |
| WO (1) | WO2019159439A1 (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7150596B2 (en) * | 2018-12-28 | 2022-10-11 | 川崎重工業株式会社 | Garbage supply speed estimation device and garbage supply speed estimation method |
| CN113887119B (en) * | 2020-07-03 | 2024-04-12 | 中国科学院沈阳计算技术研究所有限公司 | River water quality prediction method based on SARIMA-LSTM |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10238735A (en) * | 1996-12-27 | 1998-09-08 | Nkk Corp | Refuse incinerating furnace, method and apparatus for detecting hopper bridge |
| JPH10311519A (en) * | 1997-05-14 | 1998-11-24 | Nkk Corp | Method and device for controlling crane for charging refuse for refuse incinerator |
| JP2000143151A (en) * | 1998-11-10 | 2000-05-23 | Hitachi Ltd | Carrying device and loading/unloading processing facility having carrying device |
| CN1361744A (en) * | 1999-07-16 | 2002-07-31 | 森特拉尔萨格有限公司 | Adaptive prediction-based control of a vacuum refuse collection system |
| CN101033838A (en) * | 2006-03-09 | 2007-09-12 | Abb技术有限公司 | Controlling a waste combustion process |
| JP2008064361A (en) * | 2006-09-06 | 2008-03-21 | Mitsubishi Heavy Ind Ltd | Stoker-type incinerator and combustion control method therefor |
| JP2017200852A (en) * | 2016-04-28 | 2017-11-09 | 日立造船株式会社 | Calculation device, method for controlling calculation device, control program and recording medium |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60226615A (en) * | 1984-04-24 | 1985-11-11 | Mitsubishi Heavy Ind Ltd | Refuse feed discriminating device for incinerator |
| JPH02249812A (en) * | 1989-03-24 | 1990-10-05 | Ishikawajima Harima Heavy Ind Co Ltd | Method for controlling trash feeding hopper level |
| JPH08128616A (en) * | 1994-10-31 | 1996-05-21 | Toshiba Corp | Monitoring device of refuse incinerating plant |
| JP3783348B2 (en) * | 1997-07-07 | 2006-06-07 | Ｊｆｅエンジニアリング株式会社 | Dust supply control method and device for waste incinerator |
| JP4925947B2 (en) * | 2007-07-04 | 2012-05-09 | 日立造船株式会社 | Waste supply amount control method and waste supply amount control device in waste incineration facility |
| JP4942788B2 (en) * | 2009-06-04 | 2012-05-30 | 株式会社神鋼環境ソリューション | Incinerator control device |
| JP2014126321A (en) * | 2012-12-27 | 2014-07-07 | Kobe Steel Ltd | Estimation method for waste volume in waste treatment furnace hopper |
-
2018
- 2018-02-15 JP JP2018025290A patent/JP6970033B2/en active Active
- 2018-10-29 CN CN201880089405.3A patent/CN111712672B/en active Active
- 2018-10-29 EP EP18906584.0A patent/EP3754256B1/en active Active
- 2018-10-29 WO PCT/JP2018/040179 patent/WO2019159439A1/en unknown
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10238735A (en) * | 1996-12-27 | 1998-09-08 | Nkk Corp | Refuse incinerating furnace, method and apparatus for detecting hopper bridge |
| JPH10311519A (en) * | 1997-05-14 | 1998-11-24 | Nkk Corp | Method and device for controlling crane for charging refuse for refuse incinerator |
| JP2000143151A (en) * | 1998-11-10 | 2000-05-23 | Hitachi Ltd | Carrying device and loading/unloading processing facility having carrying device |
| CN1361744A (en) * | 1999-07-16 | 2002-07-31 | 森特拉尔萨格有限公司 | Adaptive prediction-based control of a vacuum refuse collection system |
| CN101033838A (en) * | 2006-03-09 | 2007-09-12 | Abb技术有限公司 | Controlling a waste combustion process |
| JP2008064361A (en) * | 2006-09-06 | 2008-03-21 | Mitsubishi Heavy Ind Ltd | Stoker-type incinerator and combustion control method therefor |
| JP2017200852A (en) * | 2016-04-28 | 2017-11-09 | 日立造船株式会社 | Calculation device, method for controlling calculation device, control program and recording medium |
Also Published As
| Publication number | Publication date |
|---|---|
| EP3754256A4 (en) | 2021-11-17 |
| CN111712672A (en) | 2020-09-25 |
| WO2019159439A1 (en) | 2019-08-22 |
| EP3754256A1 (en) | 2020-12-23 |
| EP3754256B1 (en) | 2024-03-06 |
| JP6970033B2 (en) | 2021-11-24 |
| JP2019138612A (en) | 2019-08-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109312921B (en) | Crane control device, control method for crane control device, control program, and recording medium | |
| CN111712672B (en) | Information processing apparatus and recording medium | |
| CN109073217B (en) | Computing device, control method for computing device, and storage medium | |
| CN110770506B (en) | Information processing apparatus, information processing method, and recording medium | |
| CN111065859A (en) | Apparatus, system, program, method and data structure for estimating composition of waste | |
| WO2019159432A1 (en) | Information processing device, information processing method, and information processing program | |
| JP2019119545A (en) | Information processing device, control device, information processing method, and information processing program | |
| CN112639362B (en) | Crane control device, control method for crane control device, control program, and recording medium | |
| WO2017212923A1 (en) | Waste crane operation device and waste crane operation method | |
| JP2019195751A (en) | Waste material sorting system, teaching data generation device, teaching data generation system, and teaching data generation program | |
| JP2015124955A (en) | Refuse agitated state detection device and refuse agitated state detection method | |
| JP5970947B2 (en) | Raw material transport control device and raw material transport control method | |
| JP7330864B2 (en) | Scrap image photographing system, scrap image photographing method, photographing support device, and program | |
| KR20210038403A (en) | Calorific value estimation method, calorific value estimation device and garbage storage facility | |
| JP2022039443A (en) | Information processing device, information processing method, and program | |
| JP2024002243A (en) | Information processing system, operation planning method, and program | |
| JP2021138505A (en) | Automatic operation control device, automatic operation control system, automatic operation control method, and waste treatment facility | |
| CN113260817B (en) | Garbage supply speed estimating device and garbage supply speed estimating method | |
| WO2022230356A1 (en) | Prediction device, prediction method, prediction program, facility control device, facility control method, and control program | |
| JP6804045B2 (en) | Waste supply equipment and waste supply method | |
| WO2023195240A1 (en) | Shape estimation device, trait estimation device, crane, crane control device, shape estimation method, and shape estimation program | |
| JP2023098425A (en) | Information processing device, state determination method, control determination method, state determination program, and control determination program | |
| JP2024079907A (en) | Combustion control method for a garbage incinerator and combustion control device for a garbage incinerator | |
| JPH10311519A (en) | Method and device for controlling crane for charging refuse for refuse incinerator | |
| JPS6349129B2 (en) |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |