CN111811578A - Forest growth simulation prediction system based on forest model - Google Patents
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Abstract
The invention discloses a forest growth simulation and prediction system based on a forest model, which comprises a growth environment information collection system, an image data collection system and a data analysis and processing system, wherein the growth environment information collection system comprises a plurality of image data collection systems; according to the forest region growth prediction system, the whole temperature parameter, the humidity parameter, the insect pest data parameter, the illumination parameter and the rainfall parameter of the forest region can be accurately and comprehensively collected in a multi-period regional mode through the growth environment information collection system, remote sensing measurement can be respectively carried out on forest region geological information by matching with the image data collection system, the accuracy and the reliability of forest region growth environment original data collection are guaranteed, meanwhile, the original data are subjected to systematic intelligent analysis and processing through the central processing unit, and a forest growth prediction result is output, so that intelligent prediction of forest region growth is achieved, forest region monitoring personnel can take corresponding maintenance measures for the growth of the forest region in advance, and the environment-friendly benefit and the economic benefit of forest region growth are improved.
Description
Technical Field
The invention relates to the field of forest growth testing, in particular to a forest growth simulation and prediction system based on a forest model.
Background
The forest area is mainly used for forestry production, and areas covered by pieces of original forests and artificial forests are generally positioned in mountainous regions or hilly regions and used as bases for the forestry production, so that a large amount of wood and various forest products can be provided, and the requirements of national economic construction, national defense construction and people's life can be met; and improve natural conditions, purify and beautify the environment, improve the health level of human beings, and the forest area is the area covered by a piece of original forest, secondary forest and artificial forest which mainly grow, cultivate, protect and operate the production of forestry. The method has the characteristics of large forest area and wood accumulation, high unit area accumulation and forest coverage rate and the like.
The problem that the environment-friendly benefit and the economic benefit of forest growth in a forest area are poor is caused by the fact that intelligent prediction of the forest area growth is lacked when the forest area growth is carried out, and forest area guardians cannot take corresponding maintenance measures for the forest area growth in advance.
Disclosure of Invention
The invention aims to provide a forest growth simulation and prediction system based on a forest model aiming at the defects of the prior art so as to achieve the purposes of accurate data acquisition and convenient forest region growth and maintenance.
In order to achieve the above purpose, the present invention provides a technical solution, which includes a growth environment information collecting system, an image data collecting system and a data analyzing and processing system, wherein the growth environment information collecting system is used for collecting temperature, humidity, insect pest data, illumination intensity and rainfall data of a forest growing environment, the image data collecting system is used for collecting topography of the forest growing environment, and the data analyzing and processing system is used for analyzing and processing data collected by the forest growing environment.
According to the technical scheme, the growth environment information collection system comprises a temperature monitoring unit, a humidity monitoring unit, a pest data collection unit, an illumination monitoring unit and a rainfall monitoring unit, wherein the temperature monitoring unit further comprises a temperature sensing module, a time recording module and an area dividing module, the temperature monitoring unit is used for collecting and recording temperature parameters of each time interval of each area, the humidity monitoring unit further comprises a humidity sensor, the humidity monitoring unit is used for collecting and recording the humidity parameters of each time interval of each area, the pest data collection unit further comprises a pest capturing bucket, the pest data collection unit is used for collecting and recording the pest data parameters of each time interval of each area, the illumination monitoring unit further comprises an illumination sensor, and the illumination monitoring unit is used for collecting and recording the illumination intensity data parameters of each time interval of each area, the rainfall monitoring unit also comprises a rainfall sensor and is used for collecting and recording rainfall data parameters of each region in each time period.
According to the technical scheme, the image data collection system comprises an image data collection module and a forest type storage module, the image data collection module further comprises an unmanned aerial vehicle remote sensing end and a satellite remote sensing end, the unmanned aerial vehicle remote sensing end is used for collecting low-altitude remote sensing images of forest growing environments, the satellite remote sensing end is used for collecting high-altitude remote sensing images of the forest growing environments, and the forest type storage module is used for storing forest types and original data of reserves in the forest growing environments.
According to the technical scheme, the data analysis and processing system comprises a database and a central processing unit, wherein the database is used for storing the growth quantitative data, the forming shape data and the environmental characteristic data of the model shape data collected by the growth environment information collection system and the image data collection system.
According to the technical scheme, the central processing unit comprises a data processing module, a random forest module and an output module, and the output module is used for outputting the forest growth simulation prediction result.
According to the technical scheme, the random forest module is a statistical learning algorithm, a plurality of reference data sets can be obtained from a database, five classifiers are constructed by using the selected reference data sets which are randomly and replaced again, and the classifier is formed by each classifier.
According to the technical scheme, the device further comprises a display module, and the display module is used for displaying the forest growing simulation prediction result of the output module.
According to the technical scheme, the device further comprises an image data storage module, a microprocessor, a serial port communication module and a pest data collection unit, wherein the image data storage module is used for storing forest remote sensing geology, and the microprocessor is used for carrying out microprocessing on the growth environment information collection system and data stored by the image data collection system and carrying out data receiving, sending and transmitting between the serial port communication module and the data processing module.
According to the technical scheme, the device further comprises an image data acquisition module and a solar storage battery, wherein the image data acquisition module is used for supplying power to the growth environment information collection system, and the solar storage battery is used for supplying power to electrical equipment in the image data collection system.
According to the technical scheme, the area division module is composed of GPS locators placed at a plurality of different positions in a forest area.
Compared with the prior art, the forest region intelligent forecasting method has the advantages that the whole temperature parameter, the humidity parameter, the insect pest data parameter, the illumination parameter and the rainfall parameter of the forest region can be accurately and comprehensively collected in regions at multiple periods and different regions through the growth environment information collecting system, remote sensing measurement can be respectively carried out on the geological information of the forest region by matching with the image data collecting system, accuracy and reliability of collection of original data of the forest region growth environment are guaranteed, meanwhile, the original data are intelligently analyzed and processed through the central processing unit, and the forest growth forecasting result is output, so that intelligent forecasting of the forest region growth is achieved, forest region monitoring personnel can take corresponding maintenance measures for the forest region growth in advance, and environmental protection benefit and economic benefit of the forest region growth are improved.
Drawings
FIG. 1 is a schematic view of the system of the present invention as a whole;
FIG. 2 is a schematic diagram of an environment information collecting terminal according to the present invention;
FIG. 3 is a schematic view of a monitoring acquisition end of the present invention;
FIG. 4 is a schematic diagram of a data analysis processing end according to the present invention;
FIG. 5 is a schematic diagram of a database of the present invention;
fig. 6 is a schematic diagram of a cpu according to the present invention.
In the figure: 1. a growth environment information collection system; 11. a temperature monitoring unit; 12. a humidity monitoring unit; 13. a pest data collection unit; 14. an illumination monitoring unit; 15. a rainfall amount monitoring unit; 2. an image data collection system; 21. an image data acquisition module; 23. a forest species storage module; 3. a data analysis processing system; 31. a database; 32. a central processing unit; 41. a temperature sensing module; 42. a time recording module; 43. a region dividing module; 51. a humidity sensor; 61. a pest catching bucket; 71. an illumination sensor; 81. a rainfall sensor; 91. an unmanned aerial vehicle remote sensing end; 92. a satellite remote sensing terminal; 10. an image data storage module; 16. a data processing module; 17. a random forest module; 18. an output module; 19. a display module; 20. a microprocessor; 22. a serial port communication module; 24. a solar battery.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b): referring to fig. 1-6, the present invention provides a technical solution, which includes a growth environment information collecting system 1, an image data collecting system 2 and a data analyzing and processing system 3, wherein the growth environment information collecting system 1 is used for collecting temperature, humidity, insect pest data, illumination intensity and rainfall data of a forest growing environment, the image data collecting system 2 is used for collecting topography of the forest growing environment, and the data analyzing and processing system 3 is used for analyzing and processing data collected by the forest growing environment.
The growth environment information collection system 1 comprises a temperature monitoring unit 11, a humidity monitoring unit 12, a pest data collection unit 13, an illumination monitoring unit 14 and a rainfall monitoring unit 15, wherein the temperature monitoring unit 11 further comprises a temperature sensing module 41, a time recording module 42 and an area division module 43, the area division module 43 is composed of GPS locators placed at a plurality of different positions in a forest area, the temperature monitoring unit 11 is used for collecting and recording temperature parameters of each time period of each area, the humidity monitoring unit 12 further comprises a humidity sensor 51, the humidity monitoring unit 12 is used for collecting and recording humidity parameters of each time period of each area, the pest data collection unit 13 further comprises a pest catching bucket 61, the pest data collection unit 13 is used for collecting and recording pest data parameters of each time period of each area, the illumination monitoring unit 14 further comprises an illumination sensor 71, the illumination monitoring unit 14 is configured to collect and record illumination intensity data parameters of each time interval in each region, the rainfall monitoring unit 15 further includes a rainfall sensor 81, and the rainfall monitoring unit 15 is configured to collect and record rainfall data parameters of each time interval in each region.
Image data collection system 2 includes image data collection module 21 and forest kind storage module 23, image data collection module 21 still includes unmanned aerial vehicle remote sensing end 91 and satellite remote sensing end 92, unmanned aerial vehicle remote sensing end 91 is used for collecting the low latitude remote sensing image of forest growing environment, satellite remote sensing end 92 is used for collecting the high altitude remote sensing image of forest growing environment, forest kind storage module 23 is arranged in storing the forest kind and the initial data of reserves in the forest growing environment.
The data analysis processing system 3 includes a database 31 and a central processing unit 32, and the database 31 is used for storing the model shape data, the growth quantization data, the molding shape data and the environmental characteristic data collected by the growth environment information collection system 1 and the image data collection system 2.
The central processing unit 32 comprises a data processing module 16, a random forest module 17 and an output module 18, wherein the output module 18 is used for outputting the forest growth simulation prediction result.
The random forest module 17 is a statistical learning algorithm that can obtain a plurality of reference data sets in the database 31, and construct five classifiers by using the selected reference data sets that are randomly and put back again, and are composed by the respective classifiers.
The forest region forest tree growth simulation prediction system further comprises a display module 19, and the display module 19 is used for displaying the forest region forest tree growth simulation prediction result of the output module 18.
Still include image data storage module 10, microprocessor 20, serial communication module 22 and insect pest data collection unit 13, image data storage module 10 is used for storing forest zone remote sensing geology, and microprocessor 20 is used for carrying out microprocessor to the data that growth environmental information collection system 1 and image data collection system 2 stored to carry out the transmission of receiving and dispatching of data between serial communication module 22 and data processing module 16.
The system also comprises an image data acquisition module 21 and a solar storage battery 24, wherein the image data acquisition module 21 is used for supplying power to the growth environment information collection system 1, and the solar storage battery 24 is used for supplying power to electrical equipment in the image data collection system 2.
Based on the above, the forest region intelligent forecasting method has the advantages that the whole temperature parameter, the humidity parameter, the insect pest data parameter, the illumination parameter and the rainfall parameter of the forest region can be accurately and comprehensively collected in regions at multiple time intervals through the growth environment information collecting system 1, remote sensing measurement can be respectively carried out on the geological information of the forest region by matching with the image data collecting system 2, the accuracy and the reliability of collecting original data of the forest region growth environment are guaranteed, meanwhile, the original data are subjected to system intelligent analysis and processing through the central processing unit 32, and the forest growth forecasting result is output, so that intelligent forecasting of the forest region growth is realized, forest region monitoring personnel can take corresponding maintenance measures for the forest region growth in advance, and the environment protection benefit and the economic benefit of the forest region growth are improved.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a forest growth simulation prediction system based on forest model, includes growth environment information collection system (1), image data collection system (2) and data analysis processing system (3), its characterized in that, growth environment information collection system (1) is used for collecting temperature, humidity, insect pest data, illumination intensity and rainfall data to the forest growing environment, image data collection system (2) is used for collecting the topography of forest growing environment, data analysis processing system (3) are used for carrying out analysis and processing to the data that forest growing environment collected.
2. A forest model based forest growth simulation prediction system as claimed in claim 1 wherein: the growth environment information collection system (1) comprises a temperature monitoring unit (11), a humidity monitoring unit (12), a pest data collection unit (13), an illumination monitoring unit (14) and a rainfall monitoring unit (15), wherein the temperature monitoring unit (11) further comprises a temperature sensing module (41), a time recording module (42) and an area division module (43), the temperature monitoring unit (11) is used for collecting and recording temperature parameters of each area in each time period, the humidity monitoring unit (12) further comprises a humidity sensor (51), the humidity monitoring unit (12) is used for collecting and recording humidity parameters of each area in each time period, the pest data collection unit (13) further comprises a pest capture bucket (61), and the pest data collection unit (13) is used for collecting and recording pest data parameters of each area in each time period, the illumination monitoring unit (14) further comprises an illumination sensor (71), the illumination monitoring unit (14) is used for collecting and recording illumination intensity data parameters of each time interval of each region, the rainfall monitoring unit (15) further comprises a rainfall sensor (81), and the rainfall monitoring unit (15) is used for collecting and recording the rainfall data parameters of each time interval of each region.
3. The forest model-based forest growth simulation and prediction system according to claim 1, wherein the image data collection system (2) comprises an image data collection module (21) and a forest type storage module (23), the image data collection module (21) further comprises an unmanned aerial vehicle remote sensing end (91) and a satellite remote sensing end (92), the unmanned aerial vehicle remote sensing end (91) is used for collecting low-altitude remote sensing images of a forest growth environment, the satellite remote sensing end (92) is used for collecting high-altitude remote sensing images of the forest growth environment, and the forest type storage module (23) is used for storing forest types and original data of reserves in the forest growth environment.
4. A forest model-based forest growth simulation prediction system as claimed in claim 1, said data analysis processing system (3) comprising a database (31) and a central processor (32), said database (31) being adapted to store model shape data, growth quantification data, formed shape data and environmental characteristic data collected by said growth environment information collection system (1) and said image data collection system (2).
5. A forest model-based forest growth simulation prediction system as claimed in claim 4, the central processor (32) comprising a data processing module (16), a random forest module (17) and an output module (18), the output module (18) being for outputting a forest growth simulation prediction result.
6. A forest model-based forest growth simulation prediction system as claimed in claim 5, wherein: the random forest module (17) is a statistical learning algorithm, a plurality of reference data sets can be obtained in a database (31), five classifiers are constructed by using random and replaced selected reference data sets, and the five classifiers are formed by the classifiers.
7. A forest model-based forest growth simulation prediction system as claimed in claim 5, wherein: the forest region forest tree growth simulation prediction system further comprises a display module (19), and the display module (19) is used for displaying the forest region forest tree growth simulation prediction result of the output module (18).
8. A forest model based forest growth simulation prediction system as claimed in claim 1 wherein: still include image data storage module (10), microprocessor (20), serial ports communication module (22) and insect pest data collection unit (13), image data storage module (10) are used for storing forest zone remote sensing geology, microprocessor (20) are used for right growth environment information collection system (1) with the data that image data collection system (2) stored carry out microprocessor, and pass through serial ports communication module (22) with carry out the transmission and reception of data between data processing module (16).
9. A forest model based forest growth simulation prediction system as claimed in claim 1 wherein: the solar energy growth and cultivation system is characterized by further comprising an image data acquisition module (21) and a solar storage battery (24), wherein the image data acquisition module (21) is used for supplying power to the growth environment information collection system (1) and the solar storage battery (24) is used for supplying power to electrical equipment inside the image data collection system (2).
10. A forest model based forest growth simulation prediction system as claimed in claim 2 wherein: the area division module (43) is composed of GPS locators placed at a plurality of different positions in the forest area.
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| CN113670825A (en) * | 2021-08-24 | 2021-11-19 | 河南省科学院地理研究所 | Forest environment remote sensing monitoring system based on comprehensive remote sensing technology |
| CN116797601A (en) * | 2023-08-24 | 2023-09-22 | 西南林业大学 | Image recognition-based Huashansong growth dynamic monitoring method and system |
| CN116797601B (en) * | 2023-08-24 | 2023-11-07 | 西南林业大学 | Image recognition-based Huashansong growth dynamic monitoring method and system |
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