CN213092145U - Intelligent management measurement and control system for plant growth - Google Patents
Intelligent management measurement and control system for plant growth Download PDFInfo
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- CN213092145U CN213092145U CN202022435479.5U CN202022435479U CN213092145U CN 213092145 U CN213092145 U CN 213092145U CN 202022435479 U CN202022435479 U CN 202022435479U CN 213092145 U CN213092145 U CN 213092145U
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Abstract
The application discloses a plant growth intelligent management measurement and control system, which relates to the field of plant growth environment intelligent management and comprises a sensor module, a processing module, an execution module, an Internet of things cloud processing and storage platform and a public network communication module; the sensor module is connected with the processing module, the processing module is connected with the execution module, the public network communication module is integrated on the processing module, and the processing module is communicated with the Internet of things cloud processing and storage platform through the public network communication module; the sensor module comprises a plurality of sensors, and the plurality of sensors measure different types of environment data to obtain plant measured environment data; a plant growth model is stored on the Internet of things cloud processing and storage platform, and the actually measured plant environment data can be stored; the processing module is used for comparing the plant actual measurement environment data with the environment parameters of the plant growth model at the same stage to obtain an analysis result and further obtain an adjusting method; and the module adjusts the intelligent equipment according to the adjusting method. The system realizes the aim that the cultivation management of various plant species can be copied.
Description
Technical Field
The application relates to the field of intelligent management of a plant growth environment, in particular to an Internet of things cloud intelligent management measurement and control system for plant growth.
Background
The pursuit of people for the quality of life is improved at present, the demand for rare plants is increased, but the rare plants are difficult to survive due to higher risk of artificially planting the rare plants, the planting experience of young growers is not rich, and the growers with rich experience tend to age. How to realize the intensive planting and the intelligent management of the planted plants and how to scientifically plant the plants with high yield becomes a core problem.
In the prior art, intelligent management on plant growth aims at the stage management of plant growth or is based on the understanding and research of human on plants, and the timed opening and closing of environmental equipment related to plant growth are set through human perception and understanding of plant growth environment and human cognition.
However, because human experience is identified to be difficult to quantify, unified operation on plant growth management is difficult to achieve, the existing intelligent management system is mainly completed by a hardware control system, software is less in control participation, and a reproducible system aiming at cultivation management of various plant species is not formed.
Disclosure of Invention
The embodiment of the application provides a vegetation intelligent management measurement and control system in the cloud of the Internet of things, solves the problem that cultivation management of various plants cannot form a reproducible system in the prior art, and realizes the reproducible various plant cultivation management system.
The embodiment of the application provides an intelligent plant growth management, measurement and control system which is characterized by comprising a sensor module, a processing module, an execution module, an Internet of things cloud processing and storage platform and a public network communication module;
the sensor module is connected with the processing module, the processing module is connected with the execution module, the public network communication module is integrated on the processing module, and the processing module is communicated with the Internet of things cloud processing and storage platform through the public network communication module;
the sensor module comprises a plurality of sensors, and the plurality of sensors measure different types of environment data to obtain plant measured environment data;
a plant growth model is stored on the Internet of things cloud processing and storage platform, and the actually measured plant environment data can be stored;
the processing module is used for comparing the plant actual measurement environment data with the environment parameters of the plant growth model at the same stage to obtain an analysis result and further obtain an adjustment method;
and the execution module adjusts the intelligent equipment according to the adjusting method.
In one possible implementation, the plurality of sensors includes an air humidity sensor, an air temperature sensor, a soil humidity sensor, a soil temperature sensor, an illumination intensity sensor, and a soil composition analyzer;
the air humidity sensor, air temperature sensor soil humidity sensor soil temperature sensor illumination intensity sensor with soil composition analyzer all is used for will detecting the correspondence environmental data.
In one possible implementation, the processing module includes an analysis unit;
and the analysis unit analyzes whether the actually measured environment data fluctuates within a preset range to obtain an analysis result.
In one possible implementation, the processing module further includes a processing unit; and the processing unit obtains an adjusting method according to the analysis result.
In a possible implementation manner, the device further comprises a near field communication module, wherein the near field communication module is integrated on the processing module;
the near field communication module can send data to the Internet of things cloud processing and storage platform in a contactless manner.
In a possible implementation manner, the system further comprises an image acquisition module;
the image acquisition module is connected with the processing module;
the image acquisition module comprises a plurality of image acquisition devices, and the plurality of image acquisition devices acquire plant growth pictures and/or growth videos.
In a possible implementation manner, the processing module further includes a modification unit;
the correcting unit is used for determining the actual growth condition of the plant according to the growth picture and/or the growth video and comparing the actual growth condition with the plant growth condition at the same stage in the plant growth model;
and if the actual growth condition is superior to the plant growth condition in the same stage in the plant growth model, correcting the plant growth model and determining a better plant growth model.
In a possible implementation manner, the processing module further includes an alarm unit, and the alarm unit sends alarm information to the staff through the 4G or 5G communication module.
In a possible implementation manner, the processing module further includes a wired communication module 104, a 4G or 5G communication module.
The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages:
according to the embodiment of the application, the intelligent management and measurement and control system of the Internet of things cloud database is adopted, the problem that multiple plant cultivation management cannot be repeatedly carved is effectively solved through the common cooperation of the sensor module, the processing module, the execution module, the Internet of things cloud processing and storage platform, the public network communication module and the image acquisition module in the intelligent management and measurement and control system for plant growth, the purposes of intelligent planting and plant management are achieved, and the purpose of plant cultivation can be repeatedly carved is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a block diagram of a structure of a plant growth intelligent management measurement and control system provided in an embodiment of the present application;
fig. 2 is a block diagram of a structure of various specific sensors in the intelligent management measurement and control system for plant growth according to the embodiment of the present application;
fig. 3 is a block diagram of a structure of a plant growth intelligent management measurement and control system with an alarm module and an image acquisition module according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. 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 application.
The intelligent plant growth management, measurement and control system comprises a sensor module 101, a processing module 102, an execution module 103, an internet of things cloud processing and storage platform 105 and a public network communication module 104; the sensor module 101 is connected with the processing module 102, the processing module 102 is connected with the execution module 103, the public network communication module 104 is integrated on the processing module 102, and the processing module 102 and the internet of things cloud processing and storage platform 105 are communicated through the public network communication module 104.
In the present application, the sensor module 101 includes multiple sensors, and the multiple sensors measure different types of environmental data to obtain actually measured plant environmental data; the sensor module 101 comprises an air humidity sensor 201, an air temperature sensor 202, a soil humidity sensor 203, a soil temperature sensor 204, an illumination intensity sensor 205 and a soil composition analyzer 206, which are all used for detecting corresponding environmental data; the plurality of sensors measure the value of the current environmental condition of the plant to obtain the actually measured plant environmental data of the growth environment of the plant at the current stage. During actual use, the sensor module 101 measures measured environment data from a plurality of sensors, and the sensors transmit the measured environment data to the processing module 102.
The processing module 102 is used for comparing the plant actual measurement environment data with the environment parameters of the plant growth model at the same stage to obtain an analysis result, and further obtaining an adjustment method. The processing module 102 further includes an analyzing unit, and the analyzing unit analyzes whether the measured plant environment data fluctuates within a preset range to obtain an analysis result. Specifically, the analyzing unit analyzes the measured environmental data monitored by the air humidity sensor 201, the air temperature sensor 202, the soil humidity sensor 203, the soil temperature sensor 204, the illumination intensity sensor 205, and the soil composition analyzer 206.
The internet of things cloud processing and storage platform 105 is connected with the processing module 102, the processing module 102 obtains a plant growth model from the internet of things cloud processing and storage platform 105, and the analysis unit performs comparative analysis on plant growth parameters in the same stage in the plant growth model and the monitored plant actual measurement environment data. In a preferred example, the analyzing unit obtains the humidity value measured by the soil humidity sensor 204 and compares the measured humidity value with a plant growth model, wherein the plant growth model is obtained by a plurality of plant experts performing a lot of environmental tests on plants according to specific growth cycles. The analyzing unit compares the soil moisture value suitable for the growth of the plants at the same stage in the plant growth model with the moisture value measured by the soil moisture sensor 204 by a comparison method including, but not limited to, comparing the values, and recording the comparison result to generate a comparison table. The processing module 102 further comprises a processing unit, which obtains the adjustment method according to the analysis result. And after an analysis result, namely the comparison table is obtained, the comparison table is transmitted to the processing unit, and the processing unit obtains specific operation information of the intelligent equipment, such as specific operation methods for opening a water valve, adjusting the temperature and the like according to the comparison result of the comparison table.
The processing module 102 can also obtain early warning information on the basis, in the system shown in fig. 1, the sensor module 101 is the key of the whole system, the sensor module 101 monitors various environmental parameters influencing plant growth, and whether the processing module 102 can obtain a correct environmental monitoring value detected by the sensor module 101 is the key of the system, so that the adjustment method of the system is directly influenced. And processing the early warning information obtained by the module 102. The processing module 102 transmits the obtained adjusting method to the executing module 103, the executing module 103 operates the intelligent device according to the adjusting method, and displays the adjusting method and the operating process on the display module 207; meanwhile, the processing module 102 transmits the obtained early warning information to an alarm unit, the early warning information judges whether the sensor normally works or not according to whether the value of the sensor fluctuates within a normal range or not, the alarm unit sends the early warning information to a mobile phone or a computer of a worker to give an alarm, the worker checks the early warning information, and then finds that a specific certain sensor is abnormal, the abnormal sensor is checked, and the time for the worker to overhaul the sensor is shortened.
The execution module 103 obtains the introduced adjustment method, and the execution module 103 adjusts the intelligent device according to the adjustment method, that is, the intelligent device is intelligently controlled to change the plant growth environment.
The present application further includes an image acquisition module 301. As shown in fig. 3, the image capturing module 301 includes a plurality of image capturing devices, and the plurality of image capturing devices capture a plant growth picture and/or a growth video. The image acquisition equipment acquires growth videos and/or plant growth pictures of plants, the image acquisition equipment uploads the monitored plants to the Internet of things cloud processing and storage platform 105 in different time periods, the plant growth videos and/or the plant growth pictures correspond to environmental parameters acquired by the sensors in real time, the uploading mode is convenient for observation of the whole plant growth process in the later period, and the plant growth videos and/or the plant growth pictures acquired by the image acquisition equipment enable managers to compare the actual growth conditions with the plant growth conditions in the same stage in the plant growth model according to the determined actual growth conditions of the plants; and if the actual growth condition is superior to the plant growth condition in the same stage in the plant growth model, correcting the plant growth model and determining a better plant growth model.
The alarm unit can be further included in the application and sends alarm information to the staff through the 4G or 5G communication module. The analysis result obtained by the processing module 102 may further include an analysis result of whether the sensor normally works, and when the present application is specifically used, when the obtained plant measured environment data finds that a detection value of a certain item exceeds a normal range value to be large, it is determined that the sensor is abnormal, abnormal information is obtained, and the abnormal information is used as the content of the analysis result, and the sensor is specifically labeled. In the embodiment of the application, the whole system does not need human intervention operation during operation, and the detection data of the sensor determines the next operation of the system on the environment where the plant is located, so that the environmental parameters are changed, namely the environmental parameters of the plant are improved. In the operation process of the whole system, timely overhauling and replacement of the sensor are indispensable steps, and whether the sensor is abnormally marked in an analysis result can reduce the workload of a user and also can ensure that the data obtained by the sensor is accurate data.
The internet of things cloud processing and storage platform 105 also has a data storage function, and stores the plant growth video and/or the plant growth picture acquired by the image acquisition module 301. The image acquisition module 301 uploads the acquired plant growth video and/or plant growth picture to the processing module 102, and the processing module 102 further comprises a public network communication module 104; the public network communication module 104 further comprises a near-field public network communication module 104, a wired communication module, a 4G or 5G communication module, and the mobile terminal can be used for checking the actually measured plant environment data. The image acquisition module 301 transmits the acquired plant growth video and/or plant growth picture to the processing module 102, and the processing module 102 uploads the plant growth video and/or plant growth picture to the internet of things cloud processing and storage platform 105 for backup according to a certain time interval.
In one example, and in particular use of the present application, as shown in FIG. 2, for example, soil moisture sensor 204 counts the moisture value, compares the resulting statistical moisture value to a soil moisture value for the environment of the plant growth model that is suitable for the non-passing stage, determines that the statistical moisture value is less than the soil moisture value for the environment of the plant growth model that is suitable for the environment, instructs a water pump that maintains the growing environment to turn on based on the determination, the plant is drip-irrigated, when the soil humidity reaches the soil humidity in the plant growth model, the sensor module 101 monitors the soil humidity in real time, when the monitored soil humidity is the same as the soil humidity in the plant growth model, according to the result, an instruction is given to the water pump in the growth maintaining environment, the water pump is closed, and the operation process is uploaded to the internet of things cloud processing and storage platform 105. The temperature measurement is performed by operating the air conditioner in the sensor module 101, as opposed to the humidity measurement, and when the temperature exceeds the normal temperature given at the same stage of the plant growth model, the air conditioner is operated to reduce the temperature. In this application, the sensor module 101 may be an air temperature sensor 201, an air temperature sensor 202, a soil temperature sensor 203, a soil humidity sensor 204, an illumination intensity sensor 205, a soil composition analyzer 206, etc., and a water level displacement sensing device may be added to the reservoir, and the water level displacement sensing device may be a water level sensor.
Further in a specific example of use of the present application, as shown in FIG. 2, an air temperature sensor 201, an air temperature sensor 202, a soil temperature sensor 203, a soil humidity sensor 204, a light intensity sensor 205, a soil composition analyzer 206, the sensor transmits monitored plant actual measurement environment data into the processing module 102, the processing module 102 receives the plant actual measurement environment data monitored by the sensor, the processing module 102 obtains a plant growth model from the internet of things cloud processing and storage platform 105, the processing module 102 compares the plant growth model with the plant actual measurement environment data to obtain a comparison table, and further obtains an adjusting method, and early warning information for judging whether the sensor normally works is obtained from the adjusting method, wherein the early warning information refers to the fact that the range value of the sensor generating the plant growth data is determined, and if the range value is far larger or far smaller than the range value, the early warning information is sent out; the early warning information comprises early warning sensors and early warning reasons. The alarm unit sends the early warning information to a mobile phone or a computer of a worker to give an alarm, the worker confirms which sensor causes the alarm unit to give an alarm, finds the reason of the alarm, checks the early warning sensor in the early warning information, and confirms whether the early warning sensor works normally.
The image acquisition module 301 transmits the acquired growth video and/or the acquired plant growth picture of the plant into the processing module 102, and the processing module 102 transmits the growth video and/or the plant growth picture of the plant to the internet of things cloud processing and storage platform 105 through the public network communication module 104 by using wired transmission or wireless transmission according to a certain time interval. On the basis, the system also comprises a near field communication module 303, wherein the near field communication module 303 is integrated on the processing module 102; the near field communication module 303 can send data to the internet of things cloud processing and storage platform in a contactless manner to exchange data in real time, that is, the data can be transmitted in a wired manner or in a wireless manner. And after the whole growth cycle of the plant is finished, comparing the growth state of each stage of the plant growth model by referring to the video of the plant growth, the plant growth data and the adjusting method to obtain whether the plant growth model is modified.
Further, the present application may further include a display module 207, where the display module 207 displays the comparison result obtained by the processing module 102 and the adjustment method, and further includes that when the execution module 103 executes the adjustment method, the change of each step is displayed on the display module 207. When the execution module 103 starts to execute the adjustment method, the sensor module 101 still detects various data in real time to obtain the measured plant environment data.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications or substitutions do not depart from the spirit and scope of the present disclosure.
Claims (9)
1. An intelligent plant growth management measurement and control system is characterized by comprising a sensor module, a processing module, an execution module, an Internet of things cloud processing and storage platform and a public network communication module;
the sensor module is connected with the processing module, the processing module is connected with the execution module, the public network communication module is integrated on the processing module, and the processing module is communicated with the Internet of things cloud processing and storage platform through the public network communication module;
the sensor module comprises a plurality of sensors, and the plurality of sensors measure different types of environment data to obtain plant measured environment data;
a plant growth model is stored on the Internet of things cloud processing and storage platform, and the actually measured plant environment data can be stored;
the processing module is used for comparing the plant actual measurement environment data with the environment parameters of the plant growth model at the same stage to obtain an analysis result and further obtain an adjustment method;
and the execution module adjusts the intelligent equipment according to the adjusting method.
2. The intelligent management, measurement and control system for plant growth according to claim 1, wherein the plurality of sensors comprise an air humidity sensor, an air temperature sensor, a soil humidity sensor, a soil temperature sensor, an illumination intensity sensor, and a soil composition analyzer;
the air humidity sensor, air temperature sensor soil humidity sensor soil temperature sensor illumination intensity sensor with soil composition analyzer all is used for will detecting the correspondence environmental data.
3. The intelligent management, measurement and control system for plant growth according to claim 1, wherein the processing module comprises an analysis unit;
and the analysis unit analyzes whether the actually measured environment data fluctuates within a preset range to obtain an analysis result.
4. The intelligent management, measurement and control system for plant growth according to claim 1, wherein the processing module further comprises a processing unit; and the processing unit obtains an adjusting method according to the analysis result.
5. The intelligent management, measurement and control system for plant growth according to claim 1, further comprising a near field communication module integrated on the processing module;
the near field communication module can send data to the Internet of things cloud processing and storage platform in a contactless manner.
6. The intelligent management, measurement and control system for plant growth according to claim 1, further comprising an image acquisition module;
the image acquisition module is connected with the processing module;
the image acquisition module comprises a plurality of image acquisition devices, and the plurality of image acquisition devices acquire plant growth pictures and/or growth videos.
7. The intelligent management, measurement and control system for plant growth according to claim 6, wherein the processing module further comprises a modification unit;
the correcting unit is used for determining the actual growth condition of the plant according to the growth picture and/or the growth video and comparing the actual growth condition with the plant growth condition at the same stage in the plant growth model;
and if the actual growth condition is superior to the plant growth condition in the same stage in the plant growth model, correcting the plant growth model and determining a better plant growth model.
8. The intelligent management, measurement and control system for plant growth according to claim 1, wherein the processing module further comprises a wired communication module, a 4G or 5G communication module.
9. The intelligent management, measurement and control system for plant growth according to claim 8, wherein the processing module further comprises an alarm unit, and the alarm unit sends alarm information to workers through the 4G or 5G communication module.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112255951A (en) * | 2020-10-28 | 2021-01-22 | 西安中智电气创新技术有限公司 | Plant growth management and control method, device and storage medium |
| CN113469999A (en) * | 2021-07-21 | 2021-10-01 | 柒久园艺科技(北京)有限公司 | Plant growth condition monitoring and analyzing system |
| CN114600725A (en) * | 2022-02-23 | 2022-06-10 | 青岛海尔空调器有限总公司 | Plant cultivation method controlled through air conditioner, air conditioner and plant cultivation system |
| CN114845262A (en) * | 2022-05-05 | 2022-08-02 | 江苏文友软件有限公司 | Internet of things data transmission method and system and computer readable storage medium |
| CN117590884A (en) * | 2024-01-19 | 2024-02-23 | 山东链云科技有限公司 | Intelligent greenhouse system and control method |
-
2020
- 2020-10-28 CN CN202022435479.5U patent/CN213092145U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112255951A (en) * | 2020-10-28 | 2021-01-22 | 西安中智电气创新技术有限公司 | Plant growth management and control method, device and storage medium |
| CN113469999A (en) * | 2021-07-21 | 2021-10-01 | 柒久园艺科技(北京)有限公司 | Plant growth condition monitoring and analyzing system |
| CN114600725A (en) * | 2022-02-23 | 2022-06-10 | 青岛海尔空调器有限总公司 | Plant cultivation method controlled through air conditioner, air conditioner and plant cultivation system |
| CN114845262A (en) * | 2022-05-05 | 2022-08-02 | 江苏文友软件有限公司 | Internet of things data transmission method and system and computer readable storage medium |
| CN117590884A (en) * | 2024-01-19 | 2024-02-23 | 山东链云科技有限公司 | Intelligent greenhouse system and control method |
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