CN114638047B - Intelligent agricultural facility layout method, system and medium - Google Patents
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Abstract
The invention relates to a method, a system and a medium for intelligent agricultural facility layout, which belong to the technical field of intelligent agricultural facility layout, and establish a three-dimensional model diagram of an intelligent agricultural greenhouse according to initial drawing parameter values; acquiring the working range of the current communication facility, and calculating the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility; determining an optimal layout point from an actual working range of the communication facility, and generating a first layout according to the optimal layout point; obstacle points in the first layout are retrieved, and a second layout is generated based on the obstacle points. According to the method, the communication facilities can be distributed according to the layout of the intelligent agricultural greenhouse, on one hand, the blind area of the visual field is avoided, the crop monitoring nodes are more reasonable, on the other hand, the overlarge redundant detection range caused by too many communication nodes is avoided, the monitoring range of the crops is more reasonable, and the construction cost is saved.
Description
Technical Field
The invention relates to the technical field of intelligent agriculture, in particular to a method, a system and a medium for intelligent agricultural facility layout.
Background
With the rapid development of the fourth industrial revolution, information science and technology and multi-field science and technology are deeply fused, and a new industrial technology revolution is induced. The deep fusion development of new generation information technology and agriculture breeds the third agricultural green revolution-the digital revolution of agriculture, and the agriculture enters a new era of networked, digital and intelligent development. Driven by the agricultural digital revolution, world agriculture has produced two major changes: firstly, a novel agricultural production mode represented by intelligent agriculture is generated, so that the agricultural production is more intelligent and more smart; and secondly, the development of agricultural digital economy is promoted, the value potential of data elements is activated, and new development of digital agricultural rural areas is enabled. Research has shown that the modern agricultural production mode of intelligent agriculture, which takes information, knowledge and equipment as core elements, is an advanced point of modern agricultural science and technology competition and is an important direction of modern agricultural development.
At present, communication facilities for collecting information, such as camera facilities, need to be arranged in the smart agriculture during construction, most of information collection is carried out through the camera facilities, such as whether diseases exist in monitored crops, and at present, when the communication facilities are distributed, the communication facilities are easily distributed too much, the redundancy of collected data is too high, the construction cost of the smart agriculture greenhouse is increased, the monitoring nodes are not set enough, the vision blind areas exist, most of areas cannot be monitored, the monitored data cannot be obtained, and all-round monitoring is difficult to realize; the reason can all lead to the layout node unreasonable of present wisdom green house.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides an intelligent agricultural facility layout method, system and medium.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a first aspect of an intelligent agricultural facility layout method, which comprises the following steps:
acquiring initial drawing parameter values of the current intelligent agricultural greenhouse and crop types of a planting area of the current intelligent agricultural greenhouse, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter values;
acquiring the working range of the current communication facility, and calculating the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility;
determining an optimal layout point according to the actual working range of the communication facility, and generating a first layout according to the optimal layout point;
and searching the barrier points in the first layout, generating a second layout based on the barrier points, and outputting the second layout as a final layout.
Further, in a preferred embodiment of the present invention, the method for establishing the three-dimensional model map of the smart agricultural greenhouse according to the initial drawing parameter values and the crop types of the current smart agricultural greenhouse planting area includes the following steps:
acquiring initial drawing parameter values of a current intelligent agricultural greenhouse, and establishing an initial three-dimensional model diagram according to the initial drawing parameter values;
acquiring an average growth volume parameter value of each crop type through a big data network, establishing a database, and importing the average growth volume parameter value of each crop type into the database to obtain an average growth volume database;
obtaining crop types of a current intelligent agricultural greenhouse planting area, importing the crop types into the average growth volume database to obtain average growth volume parameter values of one or more crop types, and extracting an average growth volume parameter value with a maximum value from the average growth volume parameter values;
and establishing a crop volume model map based on the average growth volume parameter value of the maximum value, and combining the initial three-dimensional model map and the crop volume model map to generate a three-dimensional model map of the intelligent agricultural greenhouse.
Further, in a preferred embodiment of the present invention, the obtaining of the current working range of the communication facility and the calculating of the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility comprise the following steps:
acquiring a redundant space distribution area of a three-dimensional model diagram of the current crop volume model diagram in the intelligent agricultural greenhouse, and selecting the redundant space distribution area with the height parameter of the redundant space distribution area larger than the average height parameter of the crops as an initial layout area diagram;
acquiring an installation plan of the current communication facility, dividing the initial layout area map into a plurality of sub-layout area maps, importing the installation plan into the sub-layout area maps to obtain a layout area map of the communication facility, and acquiring a working range of the current communication facility;
acquiring the spatial position of each crop volume model diagram and the spatial position of a layout area diagram of communication facilities;
and calculating the actual working range of each communication facility based on the spatial position of the crop volume model diagram, the spatial position of the layout area diagram of the communication facility and the working range of the communication facility.
Further, in a preferred embodiment of the present invention, the determining an optimal layout point according to the actual working range of the communication facility and generating a first layout according to the optimal layout point specifically includes the following steps:
combining the actual working ranges of the communication facilities to generate a combined set of the actual working ranges of the communication facilities;
acquiring a working range which is actually required to be monitored by a current crop volume model diagram, and introducing the working range which is actually required to be monitored and a combination set of the actual working ranges of the communication facilities into an ant colony algorithm for matching to obtain a matching result;
acquiring the optimal layout point of the communication facility in the matching result, and generating a communication facility installation path diagram according to the position point of the communication facility;
and outputting the communication facility installation path diagram as a first layout diagram.
Further, in a preferred embodiment of the present invention, the step of retrieving the obstacle point in the first layout diagram and generating the second layout diagram based on the obstacle point further comprises the steps of:
acquiring an installation plan of a position point of a current communication facility installation path diagram;
importing the installation plan of the position point of the communication facility installation path diagram into the three-dimensional model diagram of the intelligent agricultural greenhouse to generate a combined model diagram;
judging whether the combined model image has interference, if so, acquiring layout position points of current interference points, and eliminating the layout position points of the current interference points from the first layout image to generate a first layout image to be supplemented;
retrieving another alternative layout location point of the current interference point from the set of the actual working ranges of the communication facilities;
and importing the other alternative layout position point into the first layout to be supplemented to generate a second layout.
Further, in a preferred embodiment of the present invention, after the step of outputting the second layout as the final layout, the method further includes the following steps:
presetting a theoretical working time interval of the communication facility, and acquiring an actual working time interval of the current communication facility within preset time;
judging whether the actual working time interval of the communication facility within the preset time is within the theoretical working time interval range of the communication facility;
if not, calculating the difference between the actual working time interval of the communication facility within the preset time and the theoretical working time interval range of the communication facility;
and judging whether the difference is larger than a preset difference range, and if the difference is larger than the preset difference range, correcting the working time interval of the current communication facility.
The invention provides an intelligent agricultural facility layout system, which comprises a memory and a processor, wherein the memory comprises an intelligent agricultural facility layout method program, and when the intelligent agricultural facility layout method program is executed by the processor, the intelligent agricultural facility layout method program realizes the following steps:
acquiring initial drawing parameter values of the current intelligent agricultural greenhouse and crop types of a planting area of the current intelligent agricultural greenhouse, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter values;
acquiring the working range of the current communication facility, and calculating the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility;
determining an optimal layout point according to the actual working range of the communication facility, and generating a first layout according to the optimal layout point;
and retrieving obstacle points in the first layout, generating a second layout based on the obstacle points, and outputting the second layout as a final layout.
Further, in a preferred embodiment of the present invention, the method for establishing the three-dimensional model map of the smart agricultural greenhouse according to the initial drawing parameter values and the crop types of the current smart agricultural greenhouse planting area includes the following steps:
acquiring initial drawing parameter values of a current intelligent agricultural greenhouse, and establishing an initial three-dimensional model diagram according to the initial drawing parameter values;
acquiring an average growth volume parameter value of each crop type through a big data network, establishing a database, and importing the average growth volume parameter value of each crop type into the database to obtain an average growth volume database;
obtaining crop types of a current intelligent agricultural greenhouse planting area, importing the crop types into the average growth volume database to obtain average growth volume parameter values of one or more crop types, and extracting an average growth volume parameter value with a maximum value from the average growth volume parameter values;
and establishing a crop volume model map based on the average growth volume parameter value of the maximum value, and combining the initial three-dimensional model map and the crop volume model map to generate a three-dimensional model map of the intelligent agricultural greenhouse.
Further, in a preferred embodiment of the present invention, the obtaining of the current working range of the communication facility and the calculating of the actual working range of the communication facility based on the three-dimensional model map of the smart agricultural greenhouse and the working range of the communication facility specifically include the following steps:
acquiring a redundant space distribution area of a three-dimensional model diagram of the current crop volume model diagram in the intelligent agricultural greenhouse, and selecting the redundant space distribution area with the height parameter of the redundant space distribution area larger than the average height parameter of the crops as an initial layout area diagram;
acquiring an installation plan of the current communication facility, dividing the initial layout area map into a plurality of sub-layout area maps, importing the installation plan into the sub-layout area maps to obtain a layout area map of the communication facility, and acquiring a working range of the current communication facility;
acquiring the spatial position of each crop volume model diagram and the spatial position of a layout area diagram of communication facilities;
and calculating the actual working range of each communication facility based on the spatial position of the crop volume model diagram, the spatial position of the layout area diagram of the communication facility and the working range of the communication facility.
A third aspect of the present invention provides a computer-readable storage medium, which includes a smart agricultural facility layout method program, and when the smart agricultural facility layout method program is executed by a processor, the computer-readable storage medium implements the steps of any one of the smart agricultural facility layout method programs.
The invention solves the defects in the background technology, and has the following beneficial effects:
the method comprises the steps of obtaining an initial drawing parameter value of the current intelligent agricultural greenhouse and the crop type of a planting area of the current intelligent agricultural greenhouse, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter value; acquiring the working range of the current communication facility, and calculating the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility; determining an optimal layout point according to the actual working range of the communication facility, and generating a first layout according to the optimal layout point; and retrieving obstacle points in the first layout, generating a second layout based on the obstacle points, and outputting the second layout as a final layout. According to the method, the communication facilities can be distributed according to the layout of the intelligent agricultural greenhouse, on one hand, the blind area of the visual field is avoided, the crop monitoring nodes are more reasonable, on the other hand, the overlarge redundant detection range caused by too many communication nodes is avoided, the monitoring range of the crops is more reasonable, and the construction cost is saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that drawings of other embodiments can be obtained according to the drawings without creative efforts.
FIG. 1 illustrates a method flow diagram of a smart agricultural facility layout method;
FIG. 2 is a flow chart of a method for obtaining a three-dimensional model map of an intelligent agricultural greenhouse;
FIG. 3 illustrates a flow chart of a method of obtaining an actual operating range for each communication facility;
fig. 4 shows a system block diagram of an intelligent agricultural facility layout system.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
The invention provides a first aspect of an intelligent agricultural facility layout method, which comprises the following steps:
s102, acquiring initial drawing parameter values of the current intelligent agricultural greenhouse and crop types of a planting area of the current intelligent agricultural greenhouse, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter values;
s104, acquiring the working range of the current communication facility, and calculating the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility;
s106, determining the optimal layout point according to the actual working range of the communication facility, and generating a first layout according to the optimal layout point;
and S108, retrieving the obstacle points in the first layout, generating a second layout based on the obstacle points, and outputting the second layout as a final layout.
It should be noted that the communication facilities can be distributed according to the layout diagram of the intelligent agricultural greenhouse by the method, on one hand, the blind area of the visual field is avoided, so that the crop monitoring nodes are more reasonable, on the other hand, the redundant detection range caused by too many communication nodes is avoided, so that the monitoring range of crops is more reasonable, and the method is favorable for saving the construction cost.
Further, in a preferred embodiment of the present invention, the method for establishing the three-dimensional model map of the smart agricultural greenhouse according to the initial drawing parameter values and the crop types of the current smart agricultural greenhouse planting area includes the following steps:
s202, obtaining initial drawing parameter values of the current intelligent agricultural greenhouse, and establishing an initial three-dimensional model diagram according to the initial drawing parameter values;
s204, acquiring the average growth volume parameter value of each crop type through a big data network, establishing a database, and importing the average growth volume parameter value of each crop type into the database to obtain an average growth volume database;
s206, acquiring the crop types of the current intelligent agricultural greenhouse planting area, importing the crop types into the average growth volume database to obtain average growth volume parameter values of one or more crop types, and extracting the average growth volume parameter value with the maximum value from the average growth volume parameter values;
and S208, establishing a crop volume model map based on the average growth volume parameter value of the maximum value, and combining the initial three-dimensional model map and the crop volume model map to generate a three-dimensional model map of the intelligent agricultural greenhouse.
It should be noted that the initial drawing parameters include design parameters of a construction drawing of the smart agricultural greenhouse, such as parameters of outline dimensions of the greenhouse, planning drawings of other facilities in the smart agricultural greenhouse, and the like, so that the initial three-dimensional model drawing is established by using three-dimensional modeling software (such as SkechUp software, Rhino software, Maya software, 3Ds Max software, Revit, and the like). In the design stage, the intelligent agricultural greenhouse is designed according to the type of crops planted in the intelligent agricultural greenhouse, the average growth volume parameter values are the combination of average height, width and length parameters when the crops grow to the mature stage due to different types of crops, the crop volume model diagram can be understood as a cylindrical volume model diagram or a cuboid volume model diagram and the like, the three-dimensional model diagram of the intelligent agricultural greenhouse comprises the three-dimensional design model diagram of the intelligent agricultural greenhouse and the crop volume model diagram, and planting intervals are considered in the design of planting areas, so that the crop volume model diagram further comprises one or more groups of combinations of crop volume models.
Further, in a preferred embodiment of the present invention, the obtaining of the current working range of the communication facility and the calculating of the actual working range of the communication facility based on the three-dimensional model map of the smart agricultural greenhouse and the working range of the communication facility specifically include the following steps:
s302, acquiring a redundant space distribution area of a three-dimensional model diagram of the current crop volume model diagram in the intelligent agricultural greenhouse, and selecting the redundant space distribution area with the height parameter of the redundant space distribution area larger than the average height parameter of the crops as an initial layout area diagram;
s304, acquiring an installation plan of the current communication facility, dividing the initial layout area into a plurality of sub-layout area, importing the installation plan into the sub-layout area to obtain a layout area of the communication facility, and acquiring a working range of the current communication facility;
s306, acquiring the spatial position of each crop volume model diagram and the spatial position of a layout area diagram of communication facilities;
and S308, calculating the actual working range of each communication facility based on the spatial position of the crop volume model diagram, the spatial position of the layout area diagram of the communication facility and the working range of the communication facility.
It should be noted that the redundant spatial distribution area is a set of installation positions except for the accident of the crop volume model map, and since the higher the field of view is, the larger the data range that can be acquired by the communication facility is, and for example, the farther the position of the camera is set, the larger the information range that can be acquired is, the redundant spatial distribution area with the height parameter of the redundant spatial distribution area greater than the average height parameter of the crop is selected as the initial layout area map, so that the acquired inclusion range is larger.
It should be noted that the communication facility at least includes a camera device, a wireless sensor node, and the like, and the operating range of the communication facility is changed due to the installation position of the communication facility, the shielding of other obstacles, the positional relationship of the planting area, and the like, so that the actual operating range of the communication facility satisfies the following relational expression:
wherein M is the actual working range of the communication facility, M 1 For the operating range of the communications facility, P i Is the projection point, P, of the spatial position point of the layout area map of the ith communication facility in the crop volume model map i-1 The projected points of the spatial position points of the layout area diagram of the i-1 st communication facility in the crop volume model diagram, alpha is the included angle value formed by the communication facility in the crop volume model diagram, and K is the number of the projected points of the spatial position points of the layout area diagram of the communication facility in the crop volume model diagram.
It should be noted that, through the above manner, the actual working range of the communication facility in each layout area map can be calculated, and the range represents the range within which the communication facility can collect the growth data information of the crops.
Further, in a preferred embodiment of the present invention, the determining an optimal layout point according to the actual working range of the communication facility and generating a first layout according to the optimal layout point specifically includes the following steps:
combining the actual working ranges of the communication facilities to generate a combined set of the actual working ranges of the communication facilities;
acquiring a working range which is actually required to be monitored by a current crop volume model diagram, and introducing the working range which is actually required to be monitored and a combination set of the actual working ranges of the communication facilities into an ant colony algorithm for matching to obtain a matching result;
acquiring the optimal layout point of the communication facility in the matching result, and generating a communication facility installation path diagram according to the position point of the communication facility;
and outputting the communication facility installation path diagram as a first layout diagram.
It should be noted that the ant colony algorithm is to repeatedly construct a feasible solution to the optimization problem by using a certain number of agents (called ants), some pheromones are left in the result of each construction, the higher the quality of the feasible solution is, the higher the concentration of the accumulated pheromones is, and finally, the whole ant is concentrated on the optimal path under the action of positive feedback, and at this time, the corresponding optimal solution to the problem to be optimized is. The ant colony algorithm has good robustness and parallelism, and the search performance for the optimal solution is good. The three-dimensional model diagram of the intelligent agricultural greenhouse can be repeatedly constructed continuously through an ant colony algorithm, so that a matching result of the communication facilities is obtained, the matching result at least comprises layout position points of the communication facilities and the layout number of the communication facilities, and a communication facility installation path diagram is generated according to the layout position points of the communication facilities.
Further, in a preferred embodiment of the present invention, the step of retrieving the obstacle point in the first layout diagram and generating the second layout diagram based on the obstacle point further comprises the following steps:
acquiring an installation plan of a position point of a current communication facility installation path diagram;
importing the installation plan of the position point of the communication facility installation path diagram into the three-dimensional model diagram of the intelligent agricultural greenhouse to generate a combined model diagram;
judging whether the combined model image has interference, if so, acquiring layout position points of current interference points, and eliminating the layout position points of the current interference points from the first layout image to generate a first layout image to be supplemented;
retrieving another alternative layout position point of the current interference point from the combination set of the actual working ranges of the communication facilities;
and importing the other alternative layout position point into the first layout to be supplemented to generate a second layout.
The first layout is a planned installation layout, the installation positions where the communication facilities interfere with each other can be searched through the method, and when the interference situation occurs, the interference positions are rearranged, so that the layout of the communication facilities in the intelligent agricultural greenhouse is more reasonable.
Further, in a preferred embodiment of the present invention, after the step of outputting the second layout as the final layout, the method further includes the following steps:
presetting a theoretical working time interval of the communication facility, and acquiring an actual working time interval of the current communication facility within preset time;
judging whether the actual working time interval of the communication facility within the preset time is within the theoretical working time interval range of the communication facility;
if not, calculating the difference between the actual working time interval of the communication facility within the preset time and the theoretical working time interval range of the communication facility;
and judging whether the difference is larger than a preset difference range, and if the difference is larger than the preset difference range, correcting the working time interval of the current communication facility.
It should be noted that the method further limits the working mode of the communication facility, so that the layout of the communication facility is more reasonable, and further limits the working mode of the communication facility through the method, and the communication facility works within the preset time through changing, so that the communication facility is more energy-saving in the working process, and the layout mode is more reasonable.
In addition, the method can also comprise the following steps:
acquiring the signal intensity of each communication facility layout area in the current agricultural intelligent greenhouse, and judging whether the signal intensity is greater than the preset signal intensity;
if the signal intensity is not greater than the preset signal intensity, acquiring a signal facility with the signal intensity greater than the preset signal intensity through a big data network;
acquiring a communication facility layout area with the current signal intensity not greater than the preset signal intensity, and selecting a vacant position of the communication facility layout area as a signal facility layout point;
and acquiring an installation plan of a signal facility with the current signal intensity larger than the preset signal intensity, importing the installation plan of the signal facility into the signal facility layout points to generate a signal facility layout, importing the signal facility layout into the second layout, and generating a final second layout.
It should be noted that, because the transmission signals among the communication facilities need to be transmitted through some signal facilities, such as WIFI routers, light emitting diodes with optical communication capability, the signal intensity of each communication facility layout area is tested by the staff in the agricultural intelligent greenhouse by using a signal testing tool, when the signal intensity is not greater than the preset signal intensity, the data information of crops can be timely collected among the communication facilities by adding the signal facilities, so that the layout of the communication facilities is more reasonable.
In a second aspect, the present invention provides an intelligent agricultural facility layout system, the system includes a memory 41 and a processor 62, the memory 41 includes an intelligent agricultural facility layout method program, and when the intelligent agricultural facility layout method program is executed by the processor 62, the following steps are implemented:
acquiring initial drawing parameter values of the current intelligent agricultural greenhouse and crop types of a planting area of the current intelligent agricultural greenhouse, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter values;
acquiring the working range of the current communication facility, and calculating the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility;
determining an optimal layout point according to the actual working range of the communication facility, and generating a first layout according to the optimal layout point;
and retrieving obstacle points in the first layout, generating a second layout based on the obstacle points, and outputting the second layout as a final layout.
It should be noted that the communication facilities can be distributed according to the layout diagram of the intelligent agricultural greenhouse by the method, on one hand, the blind area of the visual field is avoided, so that the crop monitoring nodes are more reasonable, on the other hand, the redundant detection range caused by too many communication nodes is avoided, so that the monitoring range of crops is more reasonable, and the method is favorable for saving the construction cost. And outputting the second layout as a final layout.
In this embodiment, an initial drawing parameter value of a current smart agricultural greenhouse and a crop type of a current smart agricultural greenhouse planting area are obtained, and a three-dimensional model map of the smart agricultural greenhouse is established according to the initial drawing parameter value and the crop type of the current smart agricultural greenhouse planting area, which specifically includes the following steps:
acquiring initial drawing parameter values of a current intelligent agricultural greenhouse, and establishing an initial three-dimensional model diagram according to the initial drawing parameter values;
acquiring an average growth volume parameter value of each crop type through a big data network, establishing a database, and importing the average growth volume parameter value of each crop type into the database to obtain an average growth volume database;
obtaining crop types of a current intelligent agricultural greenhouse planting area, importing the crop types into the average growth volume database to obtain average growth volume parameter values of one or more crop types, and extracting an average growth volume parameter value with a maximum value from the average growth volume parameter values;
and establishing a crop volume model map based on the average growth volume parameter value of the maximum value, and combining the initial three-dimensional model map and the crop volume model map to generate a three-dimensional model map of the intelligent agricultural greenhouse.
It should be noted that the initial drawing parameters include design parameters of a construction drawing of the smart agricultural greenhouse, such as parameters of outline dimensions of the greenhouse, planning drawings of other facilities in the smart agricultural greenhouse, and the like, so that the initial three-dimensional model drawing is established by using three-dimensional modeling software (such as SkechUp software, Rhino software, Maya software, 3Ds Max software, Revit, and the like). In the design stage, the intelligent agricultural greenhouse is planted with different crop types, and the crop types are different, so that the height, the width and the length parameters are different when the intelligent agricultural greenhouse grows to the mature stage, the crop volume model diagram can be understood as a cylindrical volume model diagram or a cuboid volume model diagram and the like, the three-dimensional model diagram of the intelligent agricultural greenhouse comprises a three-dimensional design model diagram of the intelligent agricultural greenhouse and a crop volume model diagram, and the planting interval is considered in the design of a planting area, so that the combination of one or more groups of crop volume models in the crop volume model diagram.
In this embodiment, obtaining a working range of a current communication facility, and calculating an actual working range of the communication facility based on the three-dimensional model diagram of the smart agricultural greenhouse and the working range of the communication facility specifically includes the following steps:
acquiring a redundant space distribution area of a three-dimensional model diagram of the current crop volume model diagram in the intelligent agricultural greenhouse, and selecting the redundant space distribution area with the height parameter of the redundant space distribution area larger than the average height parameter of the crops as an initial layout area diagram;
acquiring an installation plan of the current communication facility, dividing the initial layout area map into a plurality of sub-layout area maps, importing the installation plan into the sub-layout area maps to obtain a layout area map of the communication facility, and acquiring a working range of the current communication facility;
acquiring the spatial position of each crop volume model diagram and the spatial position of a layout area diagram of communication facilities;
and calculating the actual working range of each communication facility based on the spatial position of the crop volume model diagram, the spatial position of the layout area diagram of the communication facility and the working range of the communication facility.
It should be noted that the communication facility at least includes a camera device, a sensing sensor, and the like, and the operating range of the communication facility is changed due to the installation position of the communication facility, the shielding of other obstacles, the positional relationship of the planting area, and the like, so that the actual operating range of the communication facility satisfies the following relational expression:
wherein M is the actual working range of the communication facility, M 1 For the operating range of the communications facility, P i Is the projection point, P, of the spatial position point of the layout area map of the ith communication facility in the crop volume model map i-1 The projected points of the spatial position points of the layout area diagram of the i-1 st communication facility in the crop volume model diagram, alpha is the included angle value formed by the communication facility in the crop volume model diagram, and K is the number of the projected points of the spatial position points of the layout area diagram of the communication facility in the crop volume model diagram.
It should be noted that, through the above manner, the actual working range of the communication facility in each layout area map can be calculated, and the range represents the range within which the communication facility can collect the growth data information of the crops.
In this embodiment, determining an optimal layout point according to the actual working range of the communication facility, and generating a first layout diagram according to the optimal layout point specifically includes the following steps:
combining the actual working ranges of the communication facilities to generate a combined set of the actual working ranges of the communication facilities;
acquiring a working range which is actually required to be monitored by a current crop volume model diagram, and introducing the working range which is actually required to be monitored and a combination set of the actual working ranges of the communication facilities into an ant colony algorithm for matching to obtain a matching result;
acquiring the optimal layout point of the communication facility in the matching result, and generating a communication facility installation path diagram according to the position point of the communication facility;
and outputting the communication facility installation path diagram as a first layout diagram.
It should be noted that the ant colony algorithm is to repeatedly construct a feasible solution to the optimization problem by using a certain number of agents (called ants), some pheromones are left in the result of each construction, the higher the quality of the feasible solution is, the higher the concentration of the accumulated pheromones is, and finally, the whole ant is concentrated on the optimal path under the action of positive feedback, and at this time, the corresponding optimal solution to the problem to be optimized is. The ant colony algorithm has good robustness and parallelism, and the search performance for the optimal solution is good. The three-dimensional model diagram of the intelligent agricultural greenhouse can be repeatedly constructed continuously through an ant colony algorithm, so that a layout matching result of the communication facilities is obtained, the matching result at least comprises layout position points of the communication facilities and the layout number of the communication facilities, and a communication facility installation path diagram is generated according to the layout position points of the communication facilities.
In this embodiment, retrieving an obstacle point in the first layout diagram, and generating a second layout diagram based on the obstacle point further includes:
acquiring an installation plan of a position point of a current communication facility installation path diagram;
importing the installation plan of the position point of the communication facility installation path diagram into the three-dimensional model diagram of the intelligent agricultural greenhouse to generate a combined model diagram;
judging whether the combined model image has interference, if so, acquiring layout position points of current interference points, and eliminating the layout position points of the current interference points from the first layout image to generate a first layout image to be supplemented;
retrieving another alternative layout position point of the current interference point from the combination set of the actual working ranges of the communication facilities;
and importing the other alternative layout position point into the first layout to be supplemented to generate a second layout.
It should be noted that the first layout is a planned installation layout, the method can be used for searching the installation position where the communication facility interferes, and when interference occurs, the interference position is rearranged, so that the layout of the communication facility in the intelligent agricultural greenhouse is more reasonable.
In this embodiment, after the step of outputting the second layout as the final layout, the method further includes the following steps:
presetting a theoretical working time interval of the communication facility, and acquiring an actual working time interval of the current communication facility within preset time;
judging whether the actual working time interval of the communication facility within the preset time is within the theoretical working time interval range of the communication facility;
if not, calculating the difference between the actual working time interval of the communication facility within the preset time and the theoretical working time interval range of the communication facility;
and judging whether the difference is larger than a preset difference range, and if the difference is larger than the preset difference range, correcting the working time interval of the current communication facility.
It should be noted that the method further tests the communication facilities, further limits the working mode of the communication facilities by the method, and enables the communication facilities to work more energy-saving in the working process by changing the working mode of the communication facilities within the preset time, thereby enabling the layout of the communication facilities to be more reasonable.
In addition, the system may further comprise a layout detection module, the layout detection module comprising the steps of:
if the difference is larger than the preset difference range, acquiring a communication signal fed back by the current communication facility;
judging whether the communication signal is interrupted, and if the communication signal fed back by the current communication facility is interrupted, acquiring the frequency of the communication signal fed back by the communication facility within the preset time;
judging whether the frequency of the communication facility feedback communication signals is less than a preset frequency or not;
and if the frequency of the feedback communication signal is less than a preset frequency threshold value, acquiring a position point where the current communication facility is located, sending out a maintenance early warning signal, and transmitting the position point where the communication facility is located to a remote layout terminal.
It should be noted that, because the working modes of the communication facilities are set, and because the communication facilities are set with the spaced working modes for layout, the method can further detect the communication facilities with the fault points, so that the communication facilities can be maintained or replaced in time, and the positions of the fault points of the communication facilities can be obtained quickly, so that the layout of the communication facilities is more reasonable.
In a third aspect, the present invention provides a computer-readable storage medium, which includes a smart agricultural facility layout method program, and when the smart agricultural facility layout method program is executed by a processor 62, the steps of any one of the smart agricultural facility layout method programs are realized.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. An intelligent agricultural facility layout method is characterized by comprising the following steps:
acquiring initial drawing parameter values of the current intelligent agricultural greenhouse and crop types of a planting area of the current intelligent agricultural greenhouse, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter values;
acquiring the working range of the current communication facility, and calculating the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility;
determining an optimal layout point according to the actual working range of the communication facility, and generating a first layout according to the optimal layout point;
searching obstacle points in the first layout, generating a second layout based on the obstacle points, and outputting the second layout as a final layout;
the method comprises the following steps of obtaining an initial drawing parameter value of a current intelligent agricultural greenhouse and a crop type of a current intelligent agricultural greenhouse planting area, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter value, wherein the method specifically comprises the following steps:
acquiring initial drawing parameter values of a current intelligent agricultural greenhouse, and establishing an initial three-dimensional model diagram according to the initial drawing parameter values;
acquiring an average growth volume parameter value of each crop type through a big data network, establishing a database, and importing the average growth volume parameter value of each crop type into the database to obtain an average growth volume database;
obtaining crop types of a current intelligent agricultural greenhouse planting area, importing the crop types into the average growth volume database to obtain average growth volume parameter values of one or more crop types, and extracting an average growth volume parameter value with a maximum value from the average growth volume parameter values;
and establishing a crop volume model map based on the average growth volume parameter value of the maximum value, and combining the initial three-dimensional model map and the crop volume model map to generate a three-dimensional model map of the intelligent agricultural greenhouse.
2. The method as claimed in claim 1, wherein the step of obtaining the current working range of the communication facility and calculating the actual working range of the communication facility based on the three-dimensional model of the smart agriculture greenhouse and the working range of the communication facility comprises the steps of:
acquiring a redundant space distribution area of a three-dimensional model diagram of the current crop volume model diagram in the intelligent agricultural greenhouse, and selecting the redundant space distribution area with the height parameter of the redundant space distribution area larger than the average height parameter of the crops as an initial layout area diagram;
acquiring an installation plan of the current communication facility, dividing the initial layout area map into a plurality of sub-layout area maps, importing the installation plan into the sub-layout area maps to obtain a layout area map of the communication facility, and acquiring a working range of the current communication facility;
acquiring the spatial position of each crop volume model diagram and the spatial position of a layout area diagram of communication facilities;
and calculating the actual working range of each communication facility based on the spatial position of the crop volume model diagram, the spatial position of the layout area diagram of the communication facility and the working range of the communication facility.
3. The method as claimed in claim 1, wherein the steps of determining an optimal layout point according to the actual working range of the communication facility and generating a first layout drawing according to the optimal layout point comprise:
combining the actual working ranges of the communication facilities to generate a combined set of the actual working ranges of the communication facilities;
acquiring a working range which is actually required to be monitored by a current crop volume model diagram, and introducing the working range which is actually required to be monitored and a combination set of the actual working ranges of the communication facilities into an ant colony algorithm for matching to obtain a matching result;
acquiring the optimal layout point of the communication facility in the matching result, and generating a communication facility installation path diagram according to the position point of the communication facility;
and outputting the communication facility installation path diagram as a first layout diagram.
4. The intelligent agricultural facility layout method according to claim 1, wherein obstacle points in the first layout are retrieved, and a second layout is generated based on the obstacle points, further comprising the steps of:
acquiring an installation plan of a position point of a current communication facility installation path diagram;
importing the installation plan of the position point of the communication facility installation path diagram into the three-dimensional model diagram of the intelligent agricultural greenhouse to generate a combined model diagram;
judging whether the combined model image has interference, if so, acquiring layout position points of current interference points, and eliminating the layout position points of the current interference points from the first layout image to generate a first layout image to be supplemented;
retrieving another alternative layout position point of the current interference point from the combination set of the actual working ranges of the communication facilities;
and importing the other alternative layout position point into the first layout to be supplemented to generate a second layout.
5. The intelligent agricultural facility layout method according to claim 1, further comprising the following steps after the step of outputting the second layout as a final layout:
presetting a theoretical working time interval of the communication facility, and acquiring an actual working time interval of the current communication facility within preset time;
judging whether the actual working time interval of the communication facility within the preset time is within the theoretical working time interval range of the communication facility;
if not, calculating the difference between the actual working time interval of the communication facility within the preset time and the theoretical working time interval range of the communication facility;
and judging whether the difference is larger than a preset difference range, and if the difference is larger than the preset difference range, correcting the working time interval of the current communication facility.
6. An intelligent agricultural facility layout system, comprising a memory and a processor, wherein the memory includes an intelligent agricultural facility layout method program, and when the intelligent agricultural facility layout method program is executed by the processor, the intelligent agricultural facility layout method program implements the following steps:
acquiring initial drawing parameter values of the current intelligent agricultural greenhouse and crop types of a planting area of the current intelligent agricultural greenhouse, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter values;
acquiring the working range of the current communication facility, and calculating the actual working range of the communication facility based on the three-dimensional model diagram of the intelligent agricultural greenhouse and the working range of the communication facility;
determining an optimal layout point according to the actual working range of the communication facility, and generating a first layout according to the optimal layout point;
searching obstacle points in the first layout, generating a second layout based on the obstacle points, and outputting the second layout as a final layout;
the method comprises the following steps of obtaining an initial drawing parameter value of a current intelligent agricultural greenhouse and a crop type of a current intelligent agricultural greenhouse planting area, and establishing a three-dimensional model diagram of the intelligent agricultural greenhouse according to the initial drawing parameter value, wherein the method specifically comprises the following steps:
acquiring initial drawing parameter values of a current intelligent agricultural greenhouse, and establishing an initial three-dimensional model diagram according to the initial drawing parameter values;
acquiring an average growth volume parameter value of each crop type through a big data network, establishing a database, and importing the average growth volume parameter value of each crop type into the database to obtain an average growth volume database;
obtaining crop types of a current intelligent agricultural greenhouse planting area, importing the crop types into the average growth volume database to obtain average growth volume parameter values of one or more crop types, and extracting an average growth volume parameter value with a maximum value from the average growth volume parameter values;
and establishing a crop volume model map based on the average growth volume parameter value of the maximum value, and combining the initial three-dimensional model map and the crop volume model map to generate a three-dimensional model map of the intelligent agricultural greenhouse.
7. The intelligent agricultural facility layout system of claim 6, wherein the method for obtaining the current working range of the communication facility and calculating the actual working range of the communication facility based on the three-dimensional model map of the intelligent agricultural greenhouse and the working range of the communication facility comprises the following steps:
acquiring a redundant space distribution area of a three-dimensional model diagram of the current crop volume model diagram in the intelligent agricultural greenhouse, and selecting the redundant space distribution area with the height parameter of the redundant space distribution area larger than the average height parameter of the crops as an initial layout area diagram;
acquiring an installation plan of the current communication facility, dividing the initial layout area map into a plurality of sub-layout area maps, importing the installation plan into the sub-layout area maps to obtain a layout area map of the communication facility, and acquiring a working range of the current communication facility;
acquiring the spatial position of each crop volume model diagram and the spatial position of a layout area diagram of communication facilities;
and calculating the actual working range of each communication facility based on the spatial position of the crop volume model diagram, the spatial position of the layout area diagram of the communication facility and the working range of the communication facility.
8. A computer-readable storage medium, comprising a smart agriculture facility layout method program which, when executed by a processor, implements the steps of the smart agriculture facility layout method program according to any one of claims 1 to 5.
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Application publication date: 20220617 Assignee: Zhaoqing Chenxing Agriculture Co.,Ltd. Assignor: PLANT PROTECTION Research Institute GUANGDONG ACADEMY OF AGRICULTURAL SCIENCES Contract record no.: X2022440000299 Denomination of invention: A smart agricultural facility layout method, system and medium Granted publication date: 20220802 License type: Common License Record date: 20221206 |