CN111034630B - Application method of intelligent pigsty - Google Patents
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- CN111034630B CN111034630B CN201911164162.8A CN201911164162A CN111034630B CN 111034630 B CN111034630 B CN 111034630B CN 201911164162 A CN201911164162 A CN 201911164162A CN 111034630 B CN111034630 B CN 111034630B
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000010801 machine learning Methods 0.000 claims abstract description 22
- 241000282887 Suidae Species 0.000 claims abstract description 15
- 235000013305 food Nutrition 0.000 claims description 14
- 238000010845 search algorithm Methods 0.000 claims description 6
- 238000009396 hybridization Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000009395 breeding Methods 0.000 description 25
- 230000001488 breeding effect Effects 0.000 description 25
- 235000015277 pork Nutrition 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000013011 mating Effects 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 235000013372 meat Nutrition 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000012173 estrus Effects 0.000 description 1
- 230000035558 fertility Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K1/00—Housing animals; Equipment therefor
- A01K1/02—Pigsties; Dog-kennels; Rabbit-hutches or the like
- A01K1/03—Housing for domestic or laboratory animals
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K1/00—Housing animals; Equipment therefor
- A01K1/02—Pigsties; Dog-kennels; Rabbit-hutches or the like
- A01K1/035—Devices for use in keeping domestic animals, e.g. fittings in housings or dog beds
- A01K1/0356—Feeding or drinking devices associated with cages
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K67/00—Rearing or breeding animals, not otherwise provided for; New or modified breeds of animals
- A01K67/02—Breeding vertebrates
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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Abstract
The use method of the intelligent pigsty comprises the steps that the intelligent pigsty comprises a boar stall and more than one sow pigsty which form a unit pigsty; the sow sty consists of movable side fences, a front door and a rear door, and the front door of the sow sty distinguishes a boar fence and a sow fence; a channel is arranged on the outer side of the side fence of the sow fence and is connected with the back doors of the boar fence and the sow fence; a movable fence is arranged between the more than one unit columns; the intelligent pigsty further comprises camera equipment; when a new pig needs to be distributed to a pigsty, collecting information of the new pig; searching an empty pigsty in the intelligent pigsty through the camera equipment, generating an optimal path between the position of the new pig and the empty pigsty according to the acquired information through a machine learning algorithm, outputting a fence, a door and a movable enclosing wall among the unit fences to be moved to operate, and forming a channel so that the new pig enters the empty pigsty; the door is then closed and the fence and movable fence are repositioned. The method greatly increases the working efficiency of new pigs entering the fence.
Description
Technical Field
The patent refers to the field of 'cultivation in general'.
Background
With the continuous development of people's life, the demand for meat products is increasing day by day, and pork is the most one of daily edible meat as the main meat food source of people. The total pork consumption of China in 2018 is 5590 ten thousand tons, which accounts for about 48.83 of the global pork consumption, and 80 jin is consumed by all people. The vast supply of pork in the domestic market is local production, and the live pig breeding needs to be provided with a special boar fence, a special sow fence and a special breeding fence, so that the occupied area is huge, and the problems of 'dare to breed, not breed and not breed money' are caused. Therefore, the cost reduction and the efficiency improvement of the refined management of the live pig breeding are technical problems to be solved urgently in the field.
In the prior art, a pig farm must be provided with a special pig breeding house which can promote the oestrus of sows and improve the fertility of the sows. The breeding stall is generally separated from the sow stall and the boar stall, when sows need to be bred, the sows are driven into the breeding stall, and the sows are driven back to the sow stall after the breeding is finished.
At present, the breeding houses are of fixed structures, each breeding house is provided with a fixed position, when a pig arrives, the pig needs to be distributed according to the use condition of the breeding house, the breeding house needs to be searched, and the pig is driven to the breeding house, and because a branch exists between the breeding houses, the pig is very easy to cause not to advance according to a manually set route, once the pig enters a wrong route, the pig needs to return to a correct route, and time and labor are very wasted. In addition, the existing breeding house has a single structure, the position and the shape of each house cannot be changed once the house is formed, the utilization rate of the house is low, and the occupied area of the breeding house is large.
Disclosure of Invention
The application provides a using method of an intelligent pigsty, and functions of pigsty distribution, boar selection, path selection and the like are achieved through video monitoring and a machine learning algorithm. The deformation of the stall, the channel formation and the like are automatically executed after the system sends instructions, and manual participation is not needed. The manual operation time is reduced, and the efficiency is improved. In addition, the sow sty automatically changes the body and the breed matching sty during breeding, the intelligent pigsty provided by the invention shares the sow sty and the breed matching sty, shares all boars, and is variable in size and shape, and the trough is distributed according to the needs, and the shape of a boar entering a channel of the breed matching sty is automatically generated by an algorithm.
The application provides a using method of an intelligent pigsty, wherein the intelligent pigsty comprises a boar stall and more than one sow stall, and a unit stall is formed; the sow sty consists of movable side fences, a front door and a rear door, and the front door of the sow sty is used for distinguishing a boar fence and a sow fence; a channel is arranged on the outer side of the side fence of the sow fence and is connected with the back doors of the boar fence and the sow fence; a movable fence is arranged between the more than one unit columns; the intelligent pigsty further comprises camera equipment;
when a new pig needs to be allocated to a pigsty, collecting information of the new pig; searching an empty pigsty in the intelligent pigsty through the camera equipment, generating an optimal path between the position of the new pig and the empty pigsty according to the acquired information through a machine learning algorithm, outputting a fence, a door and a movable enclosing wall among the unit fences to be moved to operate, and forming a channel so that the new pig enters the empty pigsty; the door is then closed and the fence and movable fence are repositioned.
In the using method of the intelligent pigsty provided by the invention, both the front door and the rear door of the sow sty can be opened.
In the using method of the intelligent pigsty, the operation control driving device and the transmission device output by the machine learning algorithm control the movable enclosing wall among the fence, the door and the unit fence to form a channel.
In the using method of the intelligent pigsty provided by the invention, the side fence of the sow sty adjusts the width of the sow sty according to the body type of the sow. The sow pigsty is suitable for various sow body types, the utilization rate of the sow pigsty is improved, the area of the breeding pigsty is saved, and the time for searching the suitable pigsty for the sows can be saved for the pigsty with various types of the sow pigsty. The sow fence is changed into a breeding fence, and the sow fence has multiple purposes and makes full use of space.
In the using method of the intelligent pigsty provided by the invention, one boar is raised in one boar stall. Optionally, the boar has a loose activity space, and the boar can lure the sow.
In the using method of the intelligent pigsty provided by the invention, when the boars and the sows need to be bred, the using method comprises the following using steps:
1) Selecting boars and sows for hybridization;
2) Generating an optimal path by using a machine learning algorithm, and outputting a movable fence and a fence which need to be moved, a moving direction, a moving distance and a sow gate to be opened;
3) Operating the movable enclosure, fence and door according to the output of step 2);
4) After the breeding is completed, the boar returns to the boar stall, and the movable fence, the fence and the door are reset.
In the use method of the intelligent pigsty provided by the invention, the machine learning algorithm is a shortest path algorithm of a graph: and finding the shortest path between the nodes according to the node positions.
In the use method of the intelligent pigsty, the machine learning algorithm is selected from one or more of a depth-first search algorithm, a breadth-first search algorithm, a Floird algorithm, a Dijkstra algorithm and a Bellman-Ford algorithm.
In the using method of the intelligent pigsty, the pigsty and the sow sty are provided with the food troughs, the food troughs are internally provided with sensors for sensing whether food is left or not, and when no food is in the food troughs, the food troughs automatically receive the lower part of the pigsty and are covered by the flat plate; when food is in the trough, the trough pops out from under the fence.
In the using method of the intelligent pigsty, the ground of the sow sty and the boar sty is set to be lower close to the front door of the sow sty and higher far away from the front door of the sow sty.
In the using method of the intelligent pigsty, the feeding trough is arranged at the position far away from the front door of the sow sty.
In the using method of the intelligent pigsty provided by the invention, the boar stalls and the sow stalls form unit stalls, more than two unit stalls are contained in one intelligent pigsty, each unit stall comprises one boar stall and a plurality of sow stalls, and a channel is arranged between the unit stalls.
The passageway between the unit fence is enclosed into by the enclosure between the unit fence, can change the passageway shape through adjusting the enclosure position, realizes the boar sharing between different unit fences, improves the boar utilization ratio. The shape of the channel is automatically calculated by a machine learning algorithm, and personnel only need to monitor the position of the enclosing wall according to the calculation result.
The technical scheme of the invention has the beneficial effects that:
1. the hurdle enclosure wall is movable to change the hurdle size, adapt to the not pig of equidimension and live.
2. The stall using condition is monitored in real time through videos, when a new pig enters the stall, a proper stall is automatically selected for the new pig to use, the shape of the channel is automatically adjusted, and the new pig enters the selected stall. The deformation of the stall, the channel formation and the like are automatically executed after the system sends instructions, and manual participation is not needed.
3. When a sow oestrous, the most suitable boar is automatically paired through a machine learning algorithm. Then, the enclosing wall of the sow fence is automatically contracted to enable the sow fence to be incapable of turning, the sow fence is changed into a breeding fence, meanwhile, the gate of the pig tail direction fence is automatically opened, the enclosing wall of the unit fence is automatically adjusted to form an optimal path, boars can rapidly and conveniently enter for breeding, and the breeding efficiency and success rate are improved.
4. When the excrement in the excrement layer reaches a limited amount, short messages, weChat messages and the like are sent to inform related personnel of cleaning.
5. According to sow fence position, automatically select suitable trough position to pop out the trough during feeding, when the trough is empty, accomodate the trough to the trough layer automatically.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. Other advantages of the present application may be realized and attained by the instrumentalities and combinations particularly pointed out in the specification and the drawings.
Drawings
The drawings are intended to provide an understanding of the present disclosure, and are to be considered as forming a part of the specification, and are to be used together with the embodiments of the present disclosure to explain the present disclosure without limiting the present disclosure.
FIG. 1 is a flow chart of the intelligent pigsty usage in the embodiment of the present application;
fig. 2 is a schematic view of a movable fence according to an embodiment of the present application before moving. The dotted line is the gate of the sow sty and the thick solid line is the side fence of the sow sty.
Fig. 3 is a schematic diagram of a movable fence moving when a new pig enters a fence according to embodiment 3 of the present application. The dotted line is the gate of the sow sty and the thick solid line is the side fence of the sow sty.
Fig. 4 is a schematic diagram illustrating a movable fence moving during mating in embodiment 4 of the present application. The dotted line is the gate of the sow sty and the thick solid line is the side fence of the sow sty.
Reference numerals are as follows: 1. the fence can be moved.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, embodiments of the present application are described in detail below. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The embodiment of the invention provides a using method of an intelligent pigsty, wherein the intelligent pigsty comprises a boar fence and more than one sow fence which form a unit fence; the sow sty consists of movable side fences, a front door and a rear door, and the front door of the sow sty distinguishes a boar fence and a sow fence; a channel is arranged on the outer side of the side fence of the sow fence and is connected with the back doors of the boar fence and the sow fence; a movable fence is arranged between the more than one unit columns; the intelligent pigsty further comprises camera equipment;
when a new pig needs to be allocated to a pigsty, collecting information of the new pig; searching an empty pigsty in the intelligent pigsty through the camera equipment, generating an optimal path between the position of the new pig and the empty pigsty according to the acquired information through a machine learning algorithm, outputting a fence, a door and a movable enclosing wall among the unit fences to be moved to operate, and forming a channel so that the new pig enters the empty pigsty; the door is then closed and the fence and movable fence are repositioned.
In the embodiment of the invention, the front door and the rear door of the sow sty can be opened.
In an embodiment of the invention, the operation of the machine learning algorithm output controls the drive and transmission to control the enclosure, door and movable wall between the unit bars to form the passageway.
In the embodiment of the invention, the side fence of the sow fence adjusts the width of the sow fence according to the body type of the sow. The sow pigsty is suitable for various sow body types, the utilization rate of the sow pigsty is improved, the area of the breeding pigsty is saved, and the time for searching the suitable pigsty for the sows can be saved for the pigsty with various types of the sow pigsty. The sow fence is changed into a breeding fence, so that the sow fence has multiple purposes and fully utilizes space.
In the embodiment of the invention, one boar is raised in the one boar stall. Optionally, the boar has a loose activity space, and the boar can lure the sow.
In the embodiment of the invention, when the boars and sows need to be bred, the method comprises the following use steps:
1) Selecting boars and sows for hybridization;
2) Generating an optimal path by using a machine learning algorithm, and outputting a movable fence and a fence which need to be moved, a moving direction, a moving distance and a sow gate to be opened;
3) Operating the movable enclosure, fence and door according to the output of step 2);
4) After the breeding is completed, the boar returns to the boar stall, and the movable fence, the fence and the door are reset.
In the embodiment of the present invention, the machine learning algorithm is a shortest path algorithm of a graph: and finding the shortest path between the nodes according to the node positions.
In an embodiment of the present invention, the machine learning algorithm is selected from one or more of a depth-first search algorithm, a breadth-first search algorithm, a froude algorithm, a dijkstra algorithm, and a Bellman-Ford algorithm.
In the embodiment of the invention, the boar stall and the sow stall are provided with the feeding trough, the feeding trough is internally provided with a sensor for sensing whether food is left or not, and when no food is in the feeding trough, the feeding trough automatically receives the lower part of the stall and covers the stall through the flat plate; when food is in the trough, the trough pops out from under the fence.
In the embodiment of the invention, the ground of the sow sty and the boar sty is set to be low close to the front door of the sow sty and high far away from the front door of the sow sty.
In the embodiment of the invention, the feeding trough is arranged at a position far away from the front door of the sow sty.
In the embodiment of the invention, the boar stall and the sow stall form the unit stall, more than two unit stalls are contained in one intelligent pigsty, each unit stall comprises a boar stall and a plurality of sow stalls, and a channel is arranged between the unit stalls.
The passageway between the unit fence is enclosed by the enclosure to the unit fence, can change the passageway shape through adjusting the enclosure position, realizes the boar sharing between different unit fences, improves the boar utilization ratio. The shape of the channel is automatically calculated by a machine learning algorithm, and personnel only need to monitor the position of the enclosing wall according to the calculation result.
In the embodiment of the invention, a house for arranging the intelligent pigsty is arranged outside the intelligent pigsty.
Example 1
In this embodiment, as shown in fig. 2, the intelligent pigsty is configured as follows:
the sow sty consists of movable side fences, front doors and rear doors, the front doors of the sow sty are used for separating the sow sty from the boar sty, the movable side fences are used for distinguishing among the sow fences, and a channel for connecting the boar fence with the sow fence rear doors is arranged on the outer sides of the side fences of the sow sty, so that boars can enter the sow fence from the rear doors through the channel. The front door and the rear door of the sow sty can be opened.
The side fence of the sow fence adjusts the width of the sow fence according to the reminding of the sow, so that the sow can exercise comfortably and the occupied area of the sow fence is reduced as much as possible.
The boar stall and the sow stall are a unit stall, the movable enclosing walls are arranged among the unit stalls, as can be seen from figure 2, the intelligent pigsty comprises 4 unit stalls which are arranged in a 2 x 2 mode, and each pigsty unit comprises 5 sow stalls and 1 boar stall. Be provided with the pig house passageway between a plurality of cell fences for the boar of different pig house units can get into in the arbitrary pig house unit.
Example 2
Example 2 differs from example 1 in that the boar stall and sow stall in example 2 are provided with a trough, and the trough in the sow stall can be automatically taken under the stall and covered by a flat plate. Avoid sundries from falling into the trough below the hurdle.
The ground of the sow fence and the ground of the boar fence are set to be low near the front door of the sow fence and high far away from the front door of the sow fence. The excrement is convenient to be discharged to the excrement layer by inclining a certain angle.
Example 3
When a new pig to be assigned to a pigsty enters the pigsty, the intelligent pigsty using method in the embodiment 2 is as follows:
1) When a new pig in a pigsty is to be distributed, acquiring the information of the size, the sex and the like of the new pig to acquire that the new pig is a sow; then searching for an empty pigsty in the pig house only through the camera equipment, wherein the searched empty pigsty is positioned on the rightmost side of the lower right corner in the intelligent pig house shown in the figure 3;
2) Generating an optimal path between the position of the new pig (the entrance of a channel between the upper left corner and the upper right corner of the cell bar) and the empty pigsty by the acquired information through a machine learning algorithm; that is, the movable fence between the upper left corner and the lower left corner is moved, and the movable fence between the upper right corner cell column and the lower right corner cell column is moved. So that a new pig to be assigned to the swinery cannot enter a channel between the upper left corner unit bar and the lower left corner unit bar and a channel between the upper right corner unit bar and the lower right corner unit bar. And then moving a movable fence between the lower left corner unit column and the lower right corner unit column, so that the new pigs to be distributed with the pigsty enter a sow sty rear door channel of the lower right corner unit column and then enter the sow sty at the rightmost lower right corner.
3) And after the new pigs distributed to the swinery enter the appointed swinery, the doors and the movable enclosing wall are reset.
Example 4
When the boars and sows need to be bred, the application method of the pigsty in the embodiment 2 is as follows:
1) Selecting a boar (boar in the lower right corner unit column) and a sow (sow in the left upper left corner unit column) to be bred, wherein the head of the sow faces one side of the upper left corner boar column;
2) The sow sty which needs to be moved and the door which needs to be opened are obtained through a machine learning algorithm, namely,
a. the sow sty is narrowed, so that the sows in the sow sty can not turn around, and the heads of the sows face one side of the boar sty.
b. Opening the left side door of the lower right corner boar stall, moving the movable fence between the pigsty units between the upper left corner and the upper right corner, moving the movable fence between the upper right corner and the lower right corner, moving the movable fence between the unit stalls at the lower left corner and the lower right corner, enabling the sow stall back door inlet of the upper left corner unit stall to be communicated with the left side door of the lower right corner boar stall, opening the back door of the leftmost sow stall in the upper left corner unit stall, enabling boars to enter the back door of the leftmost sow stall in the upper left corner unit stall from the left side door of the lower right corner unit stall, mating, and enabling the boars to return on the way. As shown in fig. 4.
c. After boar mating, the gates, the sow sty side fences and the movable fence are returned as shown in fig. 2.
In addition, during the hybridization, the feeding trough in the sow sty is automatically collected below the sow sty and covered by the flat plate, so that sundries are prevented from falling into the feeding trough of the sow sty.
Although the embodiments disclosed in the present application are described above, the descriptions are only for the convenience of understanding the present application, and are not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.
Claims (7)
1. The use method of the intelligent pigsty comprises the following steps that the intelligent pigsty comprises a boar stall and more than one sow pigsty, and a unit stall is formed; the sow sty consists of movable side fences, a front door and a rear door, and the front door of the sow sty is used for distinguishing a boar fence and a sow fence; a channel is arranged on the outer side of the side fence of the sow fence and is connected with the back doors of the boar fence and the sow fence; a movable fence is arranged between the more than one unit columns; the intelligent pigsty further comprises camera equipment;
when a new pig needs to be distributed to a pigsty, collecting information of the new pig; searching an empty pigsty in the intelligent pigsty through the camera equipment, generating an optimal path between the position of the new pig and the empty pigsty according to the acquired information through a machine learning algorithm, and outputting a side fence, a back door and a movable enclosing wall among the unit fences to be moved to operate to form a channel so that the new pig enters the empty pigsty; then closing the rear door and resetting the side fence and the movable fence;
feeding a boar in the one boar stall;
the front door and the rear door of the sow sty can be opened;
the operation control driving device and the transmission device output by the machine learning algorithm control the movable enclosing walls among the side fence, the rear door and the unit fence to form a channel;
when the boars and the sows need to be bred, the method comprises the following use steps:
1) Selecting boars and sows for hybridization;
2) Generating an optimal path by using a machine learning algorithm, and outputting a movable fence and a side fence which need to be moved, a moving direction, a moving distance and a sow fence back door which needs to be opened;
3) Operating the movable fence, the side fence and the rear door according to the output of the step 2);
4) After the boar is bred, the movable fence, the side fence and the back door are reset after the boar returns to the boar stall.
2. The use method of the intelligent pigsty according to claim 1, wherein the side fence of the sow sty adjusts the width of the sow sty according to the body type of the sow.
3. Use of the intelligent pig house according to any one of claims 1-2, wherein the machine learning algorithm is a shortest path algorithm of a graph: and finding the shortest path between the nodes according to the positions of the nodes.
4. The use of the intelligent pigsty according to any one of claims 1 to 2, wherein the machine learning algorithm is selected from one or more of a depth first search algorithm, a breadth first search algorithm, a Floiede algorithm, a Dijkstra algorithm and a Bellman-Ford algorithm.
5. The use method of the intelligent pigsty according to any one of the claims 1 to 2, wherein a feeding trough is arranged in the boar stall and the sow stall, a sensor for sensing whether food is left is arranged in the feeding trough, and when the feeding trough does not contain food, the feeding trough automatically receives the lower part of the pigsty and is covered by a flat plate; when food is in the trough, the trough pops out from under the barn.
6. The use method of an intelligent pigsty according to any one of claims 1 to 2, wherein the ground of the sow sty and the boar sty is arranged to be low near the front door of the sow sty and high far away from the front door of the sow sty.
7. The use method of an intelligent pigsty according to claim 5, wherein the trough is located away from the front door of the sow sty.
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CN103563757B (en) * | 2013-10-30 | 2016-06-08 | 段永改 | A kind rabbit group support device and cultural method thereof |
CN106472322A (en) * | 2015-08-28 | 2017-03-08 | 范石军 | A kind of system intelligently dividing group for market pig body weight |
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