WO2019227369A1 - 植物生长智能控制系统、方法、电子终端及可读存储介质 - Google Patents

植物生长智能控制系统、方法、电子终端及可读存储介质 Download PDF

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Publication number
WO2019227369A1
WO2019227369A1 PCT/CN2018/089165 CN2018089165W WO2019227369A1 WO 2019227369 A1 WO2019227369 A1 WO 2019227369A1 CN 2018089165 W CN2018089165 W CN 2018089165W WO 2019227369 A1 WO2019227369 A1 WO 2019227369A1
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Prior art keywords
module
plant growth
data
control system
data processing
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PCT/CN2018/089165
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English (en)
French (fr)
Inventor
彭灵
陈辉萍
钟城广
盘国权
范高如
李鑫
陈清泉
黄立旺
王增均
朱荆莲
李文彬
姚化桥
俞伟良
陈海裕
杨金桂
李文和
李国凯
郭飞锋
Original Assignee
深圳市蚂蚁雄兵物联技术有限公司
深圳佳比泰智能照明股份有限公司
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Application filed by 深圳市蚂蚁雄兵物联技术有限公司, 深圳佳比泰智能照明股份有限公司 filed Critical 深圳市蚂蚁雄兵物联技术有限公司
Priority to CN201880000634.3A priority Critical patent/CN109451753A/zh
Priority to PCT/CN2018/089165 priority patent/WO2019227369A1/zh
Publication of WO2019227369A1 publication Critical patent/WO2019227369A1/zh

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D27/00Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
    • G05D27/02Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
    • Y02A40/25Greenhouse technology, e.g. cooling systems therefor

Definitions

  • the present application relates to the field of intelligent control technology, and in particular to an intelligent control system, method, electronic terminal, and readable storage medium for plant growth.
  • the purpose of the embodiments of the present application includes providing a task plant growth intelligent control system, method, electronic terminal and readable storage medium to solve the existing technical problem of lack of intelligence in plant growth control.
  • An intelligent plant growth control system includes a data acquisition module, a data processing module, and an environment regulation module;
  • the data acquisition module is connected to the data processing module, and is configured to collect environmental data of plant growth, and send the environmental data to the data processing module;
  • the data processing module is connected to the environment adjustment module, and is configured to receive the environment data sent by the data acquisition module and perform analysis, and send adjustment instructions to the environment adjustment module according to the analysis result;
  • the environment adjustment module is configured to receive the adjustment instruction sent by the data processing module, and adjust a plant growth environment according to the data adjustment instruction.
  • the data processing module is further configured to compare the environmental data with a set threshold, and when the environmental data exceeds the set threshold, send the adjustment instruction to the environment adjustment module.
  • a cloud database connected to the data processing module is further included;
  • the data processing module is further configured to send the environmental data to the cloud database for data analysis, and send the adjustment instruction to the environment adjustment module according to the analysis result.
  • the data acquisition module includes at least one of a light intensity sensor, a spectrum sensor, a carbon dioxide sensor, a temperature sensor, a humidity sensor, a water element trace element, and a pH detector.
  • the environment adjustment module corresponds to the data acquisition module and includes at least one of a light parameter control system, a carbon dioxide control system, a temperature and humidity control system, and a water component and trace element-PH adjustment system.
  • the data processing module includes a manual control module and an automatic control module
  • the manual control module is configured to manually control the environment adjustment module
  • the automatic control module is configured to automatically control the environment adjustment module.
  • system further includes a power module connected to the data processing module;
  • the power module includes a storage battery, a wind power generation device and a photovoltaic power generation device connected to the storage battery.
  • the environment adjustment module includes the light parameter control system, the temperature and humidity control system, the carbon dioxide control system, and the water component trace element-PH adjustment system;
  • the light parameter control system includes a plant growth lamp, the temperature and humidity control system includes a temperature adjustment device and a spray device, the carbon dioxide control system includes a carbon dioxide regulator, and the water component and trace element-PH adjustment system includes aerosol or Water composition adjustment device.
  • the data processing module includes a memory, and the memory is configured to store the set threshold.
  • system further includes an alarm module connected to the data processing module;
  • the data processing module controls the alarm module to perform an alarm.
  • An embodiment of the present application further provides a method for intelligently controlling plant growth, which method includes:
  • the adjustment instruction is sent to the environment adjustment module according to the analysis result.
  • the step of analyzing the environmental data to obtain an analysis result includes:
  • the environmental data is compared and analyzed with a set threshold to obtain the analysis result.
  • the step of analyzing the environmental data to obtain an analysis result further includes:
  • An embodiment of the present application further provides an electronic terminal including a memory and a processor
  • a computer program executable on the processor is stored in the memory
  • An embodiment of the present application further provides a readable storage medium on which a computer program is stored, and the computer program, when executed, implements the foregoing intelligent control method for plant growth.
  • the task processing method, device, electronic terminal, and readable storage medium of the embodiments of the present application by starting multiple thread processing tasks according to the resources of the electronic terminal, can meet the performance bearing capability of the electronic terminal
  • the task can be processed faster, which can effectively improve the processing efficiency of the task, reduce the total time overhead of task processing, and improve the software's execution efficiency and user experience.
  • FIG. 1 is a schematic diagram of a plant growth intelligent control system according to an embodiment of the present application.
  • FIG. 2 is a schematic diagram of a plant growth intelligent control system according to another embodiment of the present application.
  • FIG. 3 is a schematic diagram of a plant growth intelligent control system according to another embodiment of the present application.
  • FIG. 4 is a schematic diagram of a power module according to an embodiment of the present application.
  • FIG. 5 is a flowchart of a method for intelligently controlling plant growth according to an embodiment of the present application
  • FIG. 6 is a flowchart of a method for intelligently controlling plant growth according to another embodiment of the present application.
  • FIG. 7 is a flowchart of a plant growth intelligent control method according to another embodiment of the present application.
  • FIG. 8 is a schematic diagram of an electronic device according to an embodiment of the present application.
  • Icons 10-data processing module; 11-manual control module; 12-automatic control module; 20-data acquisition module; 21-light intensity sensor; 22-carbon dioxide sensor; 23-temperature sensor; 24-humidity sensor; 25-water Composition and trace element and PH detector; 30-environment adjustment module; 31-light parameter control system; 32-carbon dioxide control system; 33-temperature and humidity control system; 34-water composition trace element-PH adjustment system; 40-cloud database; 50-power module; 51-wind power generation device; 52-photovoltaic power generation device; 53-battery; 60-alarm module; 1000-electronic equipment; 500-processor; 501-memory; 502-bus; 503-communication interface.
  • this embodiment provides a plant growth intelligent control system, which includes a data acquisition module 20, a data processing module 10, and an environment regulation module 30;
  • the data acquisition module 20 is connected to the data processing module 10 and is configured to collect environmental data of plant growth and send the environmental data to the data processing module 10;
  • the data processing module 10 is connected to the environmental adjustment module 30 and is configured to receive and analyze the environmental data sent by the data acquisition module 20, and send adjustment instructions to the environmental adjustment module 30 according to the analysis result;
  • the environment adjustment module 30 is configured to receive an adjustment instruction sent by the data processing module 10 and adjust a plant growth environment according to the data adjustment instruction.
  • This embodiment uses the data acquisition module 20 to collect data on the growth environment of the plant, such as temperature and humidity of plant growth, light intensity, etc., and sends the collected environmental data to the data processing module 10, and the data processing module 10 processes the data.
  • the control center analyzes the environmental data to determine whether it is necessary to adjust the growth environment of the plant. If necessary, it sends an adjustment instruction to the environment adjustment module 30.
  • the environment adjustment module 30 adjusts the plant growth environment according to the data adjustment instruction. In order to achieve intelligent control of plant growth, the environmental data can meet the growth needs of plants.
  • the data processing module 10 compares the environmental data with a set threshold, and the set threshold can be stored in the memory of the data processing module 10, and when the environmental data exceeds the set When the threshold is set, it is determined that the plant growth environment needs to be adjusted, and an adjustment instruction is sent to the environment adjustment module 30.
  • the data processing module 10 can also be connected to the cloud database 40.
  • the data processing module 10 can also send environmental data to the cloud database 40 for data analysis.
  • the cloud database 40 stores a preset environment required for plant growth. Data, compare and analyze the environmental data sent by the data processing module 10 with preset environmental data, and send the analysis results to the data processing module 10. When the analysis results show that the environment needs to be adjusted, the data processing module 10 sends an adjustment instruction Gives the environmental adjustment module 30.
  • the data acquisition module 20 includes at least one of a light intensity sensor 21, a spectrum sensor, a carbon dioxide sensor 22, a temperature sensor 23, a humidity sensor 24, a water component trace element, and a pH detector 25.
  • the environment adjustment module 30 corresponds to the data acquisition module 20 and includes at least one of a light parameter control system 31, a carbon dioxide control system 32, a temperature and humidity control system 33, and a water component and trace element-PH adjustment system 34.
  • the data acquisition module 20 includes a light intensity sensor 21, a spectrum sensor, a carbon dioxide sensor 22, a temperature sensor 23, a humidity sensor 24, a water component trace element, and a pH detector 25 to collect plant growth environments, respectively.
  • the environmental adjustment module 30 includes a light parameter control system 31, a carbon dioxide control system 32, a temperature and humidity control system 33, and a water element trace element-PH adjustment system 34 , Adjust the light intensity, spectrum, temperature, humidity, trace elements of water composition and PH value respectively.
  • the light parameter control system 31 includes a plant growth lamp, and controls the light intensity and the spectral ratio through multiple constant current outputs.
  • the temperature and humidity control system 33 includes a temperature adjustment device and a shower device.
  • the carbon dioxide control system 32 includes a carbon dioxide regulator, and the water component trace element-PH adjustment system 34 includes an aerosol or water component adjustment device.
  • the data processing module 10 includes two control modes, manual mode and automatic mode, as shown in FIG. 2, which are controlled by the manual control module 11 and the automatic control module 12, respectively; the manual control module 11 is used for The environmental adjustment module 30 is controlled manually; the automatic control module 12 is used to automatically control the environmental adjustment module 30.
  • the data processing module 10 is also connected to a power supply module 50.
  • the power supply module 50 includes a storage battery 53 and a wind power generation device 51 and a photovoltaic power generation device 52 connected to the storage battery 53 to achieve the purpose of energy saving. .
  • the system further includes an alarm module 60 connected to the data processing module 10; when the environmental data exceeds a set threshold, the data processing module 10 controls the alarm module 60 to perform an alarm, thereby reminding the planter to monitor the environmental adjustment.
  • an alarm module 60 connected to the data processing module 10; when the environmental data exceeds a set threshold, the data processing module 10 controls the alarm module 60 to perform an alarm, thereby reminding the planter to monitor the environmental adjustment.
  • this embodiment also provides a method for intelligently controlling plant growth.
  • the execution subject is a data processing module.
  • the data processing module includes a receiver, a processor, and a transmitter. The method includes the following steps:
  • Step S101 the receiver receives the environmental data sent by the data acquisition module
  • Step S102 the processor analyzes the environmental data to obtain an analysis result
  • step S103 the processor sends the adjustment instruction to the environment adjustment module through the transmitter according to the analysis result.
  • the data acquisition module uses the data acquisition module to collect data on the plant's growing environment, such as the temperature and humidity of plant growth, light intensity, etc., and send the collected environmental data to the data processing module.
  • the data processing module acts as a data processing control center for environmental data. Analyze to determine whether it is necessary to adjust the growth environment of the plant. If necessary, send an adjustment instruction to the environment adjustment module.
  • the environment adjustment module adjusts the plant growth environment according to the data adjustment instruction, so as to realize the intelligentization of plant growth. Control so that environmental data meets the growth needs of the plant.
  • the execution body is a data processing module.
  • the data processing module includes a receiver, a processor, and a transmitter. The method includes the following steps:
  • Step S201 The receiver receives the environmental data sent by the data acquisition module
  • Step S202 The processor compares and analyzes the environmental data with a set threshold to obtain an analysis result
  • Step S203 The processor sends the adjustment instruction to the environment adjustment module through the transmitter according to the analysis result.
  • the data processing module After receiving the environmental data sent by the data acquisition module, the data processing module compares the environmental data with a set threshold.
  • the set threshold can be stored in the memory of the data processing module. When the environmental data exceeds the set threshold, it is determined that The plant growth environment is adjusted, and an adjustment instruction is sent to the environment adjustment module.
  • the execution body is a data processing module.
  • the data processing module includes a receiver, a processor, and a transmitter. The method includes the following steps:
  • Step S301 the receiver receives the environmental data sent by the data acquisition module
  • Step S302 the processor sends the environmental data to a cloud database for data analysis
  • Step S303 The processor receives the analysis result sent by the cloud database
  • Step S304 The processor sends the adjustment instruction to the environment adjustment module through the transmitter according to the analysis result.
  • the data processing module can also send environmental data to a cloud database for data analysis.
  • the cloud database stores preset environmental data required for plant growth, compares and analyzes the environmental data sent by the data processing module with the preset environmental data, and analyzes The result is sent to the data processing module.
  • the data processing module sends an adjustment instruction to the environment adjustment module.
  • the embodiment of the present application provides a readable storage medium on which a computer program is stored, and the computer program, when executed, implements the intelligent plant growth control method provided by the foregoing embodiment.
  • an embodiment of the present invention further provides an electronic terminal 1000, including: a processor 500, a memory 501, a bus 502, and a communication interface 503.
  • the processor 500, the communication interface 503, and the memory 501 are connected through a bus 502;
  • the processor 500 is configured to call the program stored in the memory 501 through the bus 502 to execute the intelligent plant growth control method of the foregoing embodiment.
  • the memory 501 may include high-speed random access memory (RAM, Random Access Memory), and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
  • RAM Random Access Memory
  • non-volatile memory such as at least one disk memory.
  • the communication connection between the network element of the system and at least one other network element is achieved through at least one communication interface 503 (which may be wired or wireless), and the Internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
  • the bus 502 may be an ISA bus, a PCI bus, an EISA bus, or the like.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only a two-way arrow is used in FIG. 8, but it does not mean that there is only one bus or one type of bus.
  • the memory 501 is used to store a program, and the processor 500 executes the program after receiving the execution instruction.
  • the method executed by the apparatus defined by the flow process disclosed in any one of the foregoing embodiments of the present invention may be applied to the processor 500. Alternatively, it may be implemented by the processor 500.
  • the processor 500 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 500 or an instruction in the form of software.
  • the above processor 500 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), and the like; and a digital signal processor (DSP) ), Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
  • CPU central processing unit
  • NP network processor
  • DSP digital signal processor
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • a software module may be located in a mature storage medium such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, and the like.
  • the storage medium is located in the memory 501, and the processor 500 reads information in the memory 501 and completes the steps of the foregoing method in combination with its hardware.
  • each block in the flowchart or block diagram may represent a module, program segment, or portion of code, which contains one or more components configured to implement a specified logical function. Executable instructions. It should also be noted that in some alternative implementations, the functions marked in the blocks may also occur in a different order than those marked in the drawings.
  • each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts can be implemented in a dedicated hardware-based system that performs the specified function or action. , Or it can be implemented with a combination of dedicated hardware and computer instructions.
  • the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
  • the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially a part that contributes to the existing technology or a part of the technical solution can be embodied in the form of a software product.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application.
  • the foregoing storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks and other media that can store program codes .
  • relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations There is any such actual relationship or order among them.
  • the terms "including”, “comprising”, or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or device that includes a series of elements includes not only those elements but also those that are not explicitly listed Or other elements inherent to such a process, method, article, or device. Without more restrictions, the elements defined by the sentence “including a " do not exclude the existence of other identical elements in the process, method, article, or equipment that includes the elements.
  • the data processing module analyzes the plant growth environment data collected by the data acquisition module, and controls the environment adjustment module to adjust the plant growth environment accordingly according to the analysis result, thereby achieving intelligent control of plant growth, Make environmental data meet plant growth needs.

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Abstract

一种植物生长智能控制系统,系统包括数据采集模块(20)、数据处理模块(10)以及环境调节模块(30);数据采集模块与数据处理模块相连接,用于采集植物生长的环境数据,并将环境数据发送给数据处理模块;数据处理模块与环境调节模块相连接,用于接收数据采集模块发送的环境数据并进行分析,根据分析结果将调节指令发送给环境调节模块;环境调节模块,用于接收数据处理模块发送的调节指令,并根据数据调节指令对植物生长环境进行调节,从而实现植物生长的智能化控制。还包括一种植物生长智能控制方法以及包括执行该方法的电子终端和可读存储介质。

Description

植物生长智能控制系统、方法、电子终端及可读存储介质 技术领域
本申请涉及智能控制技术领域,具体而言,涉及一种植物生长智能控制系统、方法、电子终端及可读存储介质。
背景技术
植物在生长过程中,对于生长环境有着严格的要求,尤其是室内、温室或大棚中的植物,人们越来越多的通过各种技术手段实现对植物生长环境的控制,根据植物的生活习性、规律来实时控制其生长环境,从而达到提高产量或加速生长等。现有的植物生长控制缺乏智能化。
发明内容
有鉴于此,本申请实施例的目的包括,提供一种任务植物生长智能控制系统、方法、电子终端及可读存储介质,以解决现有的植物生长控制缺乏智能化的技术问题。
本申请实施例提供的一种植物生长智能控制系统,包括数据采集模块、数据处理模块以及环境调节模块;
所述数据采集模块,与所述数据处理模块相连接,用于采集植物生长的环境数据,并将所述环境数据发送给所述数据处理模块;
所述数据处理模块,与所述环境调节模块相连接,用于接收所述数据采集模块发送的所述环境数据并进行分析,根据分析结果将调节指令发送给所述环境调节模块;
所述环境调节模块,用于接收所述数据处理模块发送的所述调节指令,并根据所述数据调节指令对植物生长环境进行调节。
进一步地,所述数据处理模块还用于将所述环境数据与设定阈值进行比较,当所述环境数据超过所述设定阈值时,将所述调节指令发送给所述环境调 节模块。
进一步地,还包括与所述数据处理模块相连接的云端数据库;
所述数据处理模块还用于将所述环境数据发送给所述云端数据库进行数据分析,并根据分析结果将所述调节指令发送给所述环境调节模块。
进一步地,所述数据采集模块至少包括光照强度传感器、光谱传感器、二氧化碳传感器、温度传感器、湿度传感器、水成分微量元素及PH检测器中的一种。
进一步地,所述环境调节模块与所述数据采集模块相对应,至少包括光参数控制系统、二氧化碳控制系统、温湿度控制系统、水成分微量元素-PH调节系统中的一种。
进一步地,所述数据处理模块包括手动控制模块以及自动控制模块;
所述手动控制模块,用于手动控制所述环境调节模块;
所述自动控制模块,用于自动控制所述环境调节模块。
进一步地,所述系统还包括与所述数据处理模块相连接的电源模块;
所述电源模块包括蓄电池以及与所述蓄电池相连接的风力发电装置、光伏发电装置。
进一步地,所述环境调节模块包括所述光参数控制系统、所述温湿度控制系统、所述二氧化碳控制系统以及所述水成分微量元素-PH调节系统;
所述光参数控制系统包括植物生长灯,所述温湿度控制系统包括温度调节装置、喷淋装置,所述二氧化碳控制系统包括二氧化碳调节器,所述水成分微量元素-PH调节系统包括气雾或水成分调节装置。
进一步地,所述数据处理模块包括存储器,所述存储器用于存储所述设定阈值。
进一步地,所述系统还包括与所述数据处理模块相连接的报警模块;
当所述环境数据超过所述设定阈值时,所述数据处理模块控制所述报警模块进行报警。
本申请实施例还提供一种植物生长智能控制方法,所述方法包括:
接收数据采集模块发送的环境数据;
对所述环境数据进行分析,得到分析结果;
根据所述分析结果将调节指令发送给环境调节模块。
进一步地,所述对所述环境数据进行分析,得到分析结果的步骤,包括:
将所述环境数据与设定阈值进行比较分析,得到所述分析结果。
进一步地,所述对所述环境数据进行分析,得到分析结果的的步骤,还包括:
将所述环境数据发送给云端数据库进行数据分析;
接收所述云端数据库发送的所述分析结果。
本申请实施例还提供一种电子终端,包括存储器、处理器;
所述存储器中存储有可在所述处理器上运行的计算机程序;
所述处理器执行所述计算机程序时实现上述的植物生长智能控制方法。
本申请实施例还提供一种可读存储介质,其上存储有计算机程序,所述计算机程序在执行时实现上述的植物生长智能控制方法。
与现有技术相比,本申请实施例的任务处理方法、装置、电子终端及可读存储介质,通过根据电子终端的资源启动多个线程处理任务,在能够符合电子终端性能承载能力的条件下能够更快地处理任务,从而能够有效的提高任务的处理效率,降低任务处理的总时间开销,提高了软件的执行效率及用户体验。
为使本申请的上述目的、特征和优点能更明显易懂,下文特举较佳实施例,并配合所附附图,作详细说明如下。
附图说明
为了更清楚地说明本申请实施例的技术方案,下面将对实施例中所需要使用的附图作简单地介绍,应当理解,以下附图仅示出了本申请的某些实施例, 因此不应被看作是对范围的限定,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他相关的附图。
图1为本申请实施例提供的植物生长智能控制系统示意图。
图2为本申请另一实施例提供的植物生长智能控制系统示意图;
图3为本申请又一实施例提供的植物生长智能控制系统示意图;
图4为本申请实施例提供的电源模块示意图;
图5为本申请实施例提供的植物生长智能控制方法的流程图;
图6为本申请另一实施例提供的植物生长智能控制方法的流程图;
图7为本申请又一实施例提供的植物生长智能控制方法的流程图;
图8为本申请实施例提供的电子设备示意图。
图标:10-数据处理模块;11-手动控制模块;12-自动控制模块;20-数据采集模块;21-光照强度传感器;22-二氧化碳传感器;23-温度传感器;24-湿度传感器;25-水成分微量元素及PH检测器;30-环境调节模块;31-光参数控制系统;32-二氧化碳控制系统;33-温湿度控制系统;34-水成分微量元素-PH调节系统;40-云端数据库;50-电源模块;51-风力发电装置;52-光伏发电装置;53-蓄电池;60-报警模块;1000-电子设备;500-处理器;501-存储器;502-总线;503-通信接口。
具体实施方式
下面将结合本申请实施例中附图,对本申请实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本申请一部分实施例,而不是全部的实施例。通常在此处附图中描述和示出的本申请实施例的组件可以以各种不同的配置来布置和设计。因此,以下对在附图中提供的本申请的实施例的详细描述并非旨在限制要求保护的本申请的范围,而是仅仅表示本申请的选定 实施例。基于本申请的实施例,本领域技术人员在没有做出创造性劳动的前提下所获得的所有其他实施例,都属于本申请保护的范围。
应注意到:相似的标号和字母在下面的附图中表示类似项,因此,一旦某一项在一个附图中被定义,则在随后的附图中不需要对其进行进一步定义和解释。同时,在本申请的描述中,术语“第一”、“第二”等仅配置成区分描述,而不能理解为指示或暗示相对重要性。
如图1所示,本实施例提供了一种植物生长智能控制系统,包括数据采集模块20、数据处理模块10以及环境调节模块30;
数据采集模块20,与数据处理模块10相连接,用于采集植物生长的环境数据,并将环境数据发送给数据处理模块10;
数据处理模块10,与环境调节模块30相连接,用于接收数据采集模块20发送的环境数据并进行分析,根据分析结果将调节指令发送给环境调节模块30;
环境调节模块30,用于接收数据处理模块10发送的调节指令,并根据数据调节指令对植物生长环境进行调节。
本实施例通过数据采集模块20对植物的生长环境进行数据采集,例如植物生长的温湿度、光照强度等等,并将采集到的环境数据发送给数据处理模块10,数据处理模块10作为数据处理控制中心,对环境数据进行分析,判断是否需要对植物的生长环境进行调节,如果需要,则将调节指令发送给环境调节模块30,环境调节模块30根据数据调节指令对植物生长环境进行相应的调节,从而实现植物生长的智能化控制,使得环境数据满足植物的生长需求。
可选地,数据处理模块10接收到数据采集模块20发送的环境数据后,将环境数据与设定阈值进行比较,该设定阈值可以存储在数据处理模块10的存储器中,当环境数据超过设定阈值时,判断需要对植物生长环境进行调节,将调节指令发送给环境调节模块30。
如图2所示,数据处理模块10还可以与云端数据库40相连接,数据处理模块10还可以将环境数据发送给云端数据库40进行数据分析,云端数据库40存储有植物生长所需的预设环境数据,将数据处理模块10发送的环境数据与预设环境数据进行对比分析,并将分析结果发送给数据处理模块10,当分析结果显示需要对环境进行调节时,数据处理模块10将调节指令发送给环境调节模块30。
数据采集模块20至少包括光照强度传感器21、光谱传感器、二氧化碳传感器22、温度传感器23、湿度传感器24、水成分微量元素及PH检测器25中的一种。环境调节模块30与数据采集模块20相对应,至少包括光参数控制系统31、二氧化碳控制系统32、温湿度控制系统33、水成分微量元素-PH调节系统34中的一种。
可选地,如图3所示,数据采集模块20包括光照强度传感器21、光谱传感器、二氧化碳传感器22、温度传感器23、湿度传感器24、水成分微量元素及PH检测器25,分别采集植物生长环境中的光照强度、光谱、温度、湿度、水成分微量元素及PH值;环境调节模块30包括光参数控制系统31、二氧化碳控制系统32、温湿度控制系统33、水成分微量元素-PH调节系统34,分别对光照强度、光谱、温度、湿度、水成分微量元素及PH值进行调节。
光参数控制系统31包括植物生长灯,通过多路恒流输出控制光照强度以及光谱比例。温湿度控制系统33包括温度调节装置、喷淋装置。二氧化碳控制系 统32包括二氧化碳调节器,水成分微量元素-PH调节系统34包括气雾或水成分调节装置。
为了便于对环境调节模块30进行控制,数据处理模块10包括手动模式和自动模式两种控制方式,如图2所示,分别通过手动控制模块11以及自动控制模块12进行控制;手动控制模块11用于手动控制环境调节模块30;自动控制模块12用于自动控制环境调节模块30。
数据处理模块10还与电源模块50相连接,可选地,如图4所示,电源模块50包括蓄电池53以及与蓄电池53相连接的风力发电装置51、光伏发电装置52,从而实现节能的目的。
可选地,系统还包括与数据处理模块10相连接的报警模块60;当环境数据超过设定阈值时,数据处理模块10控制报警模块60进行报警,从而提醒种植人员对环境调节进行监控。
如图5所示,本实施例还提供了一种植物生长智能控制方法,执行主体为数据处理模块,数据处理模块包括接收器、处理器以及发送器,方法包括以下步骤:
步骤S101,接收器接收数据采集模块发送的环境数据;
步骤S102,处理器对环境数据进行分析,得到分析结果;
步骤S103,处理器根据分析结果通过发送器将调节指令发送给环境调节模块。
通过数据采集模块对植物的生长环境进行数据采集,例如植物生长的温湿度、光照强度等等,并将采集到的环境数据发送给数据处理模块,数据处理模块作为数据处理控制中心,对环境数据进行分析,判断是否需要对植物的生长 环境进行调节,如果需要,则将调节指令发送给环境调节模块,环境调节模块根据数据调节指令对植物生长环境进行相应的调节,从而实现植物生长的智能化控制,使得环境数据满足植物的生长需求。
如图6所示,本实施例还提供了另一种植物生长智能控制方法,执行主体为数据处理模块,数据处理模块包括接收器、处理器以及发送器,方法包括以下步骤:
步骤S201,接收器接收数据采集模块发送的环境数据;
步骤S202,处理器将环境数据与设定阈值进行比较分析,得到分析结果;
步骤S203,处理器根据分析结果通过发送器将调节指令发送给环境调节模块。
数据处理模块接收到数据采集模块发送的环境数据后,将环境数据与设定阈值进行比较,该设定阈值可以存储在数据处理模块的存储器中,当环境数据超过设定阈值时,判断需要对植物生长环境进行调节,将调节指令发送给环境调节模块。
如图7所示,本实施例还提供了又一种植物生长智能控制方法,执行主体为数据处理模块,数据处理模块包括接收器、处理器以及发送器,方法包括以下步骤:
步骤S301,接收器接收数据采集模块发送的环境数据;
步骤S302,处理器将环境数据发送给云端数据库进行数据分析;
步骤S303,处理器接收云端数据库发送的分析结果;
步骤S304,处理器根据分析结果通过发送器将调节指令发送给环境调节模块。
数据处理模块还可以将环境数据发送给云端数据库进行数据分析,云端数据库存储有植物生长所需的预设环境数据,将数据处理模块发送的环境数据与预设环境数据进行对比分析,并将分析结果发送给数据处理模块,当分析结果显示需要对环境进行调节时,数据处理模块将调节指令发送给环境调节模块。
本申请实施例提供一种可读存储介质,其上存储有计算机程序,计算机程序在执行时实现上述实施例提供的植物生长智能控制方法。
参见图8,本发明实施例还提供一种电子终端1000,包括:处理器500,存储器501,总线502和通信接口503,处理器500、通信接口503和存储器501通过总线502连接;存储器501用于存储程序;处理器500用于通过总线502调用存储在存储器501中的程序,执行上述实施例的植物生长智能控制方法。
其中,存储器501可能包含高速随机存取存储器(RAM,Random Access Memory),也可能还包括非不稳定的存储器(non-volatile memory),例如至少一个磁盘存储器。通过至少一个通信接口503(可以是有线或者无线)实现该系统网元与至少一个其他网元之间的通信连接,可以使用互联网,广域网,本地网,城域网等。
总线502可以是ISA总线、PCI总线或EISA总线等。总线可以分为地址总线、数据总线、控制总线等。为便于表示,图8中仅用一个双向箭头表示,但并不表示仅有一根总线或一种类型的总线。
其中,存储器501用于存储程序,处理器500在接收到执行指令后,执行程序,前述本发明实施例任一实施例揭示的流过程定义的装置所执行的方法可以应用于处理器500中,或者由处理器500实现。
处理器500可能是一种集成电路芯片,具有信号的处理能力。在实现过程中,上述方法的各步骤可以通过处理器500中的硬件的集成逻辑电路或者软件 形式的指令完成。上述的处理器500可以是通用处理器,包括中央处理器(Central Processing Unit,简称CPU)、网络处理器(Network Processor,简称NP)等;还可以是数字信号处理器(Digital Signal Processing,简称DSP)、专用集成电路(Application Specific Integrated Circuit,简称ASIC)、现成可编程门阵列(Field-Programmable Gate Array,简称FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本发明实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本发明实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成,或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器,闪存、只读存储器,可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器501,处理器500读取存储器501中的信息,结合其硬件完成上述方法的步骤。
在本申请所提供的几个实施例中,应该理解到,所揭露的装置和方法,也可以通过其它的方式实现。以上所描述的装置实施例仅仅是示意性的,例如,附图中的流程图和框图显示了根据本申请的多个实施例的装置、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上,流程图或框图中的每个方框可以代表一个模块、程序段或代码的一部分,所述模块、程序段或代码的一部分包含一个或多个配置成实现规定的逻辑功能的可执行指令。也应当注意,在有些作为替换的实现方式中,方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如,两个连续的方框实际上可以基本并行地执行,它们有时也可以按相反的顺序执行,这依所涉及的功能而定。也要注意的是,框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合,可以用执行规定的功能或动作的专用的基于硬件的系统来实现,或者可以用专用硬 件与计算机指令的组合来实现。
另外,在本申请各个实施例中的各功能模块可以集成在一起形成一个独立的部分,也可以是各个模块单独存在,也可以两个或两个以上模块集成形成一个独立的部分。
所述功能如果以软件功能模块的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。需要说明的是,在本文中,诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
以上所述仅为本申请的优选实施例而已,并不配置成限制本申请,对于本领域的技术人员来说,本申请可以有各种更改和变化。凡在本申请的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本申请的保护范围之内。应注意到:相似的标号和字母在下面的附图中表示类似项,因此,一旦某一项在一个附图中被定义,则在随后的附图中不需要对其进行进一步定义和解释。
以上所述,仅为本申请的具体实施方式,但本申请的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本申请揭露的技术范围内,可轻易想到变化或替换,都应涵盖在本申请的保护范围之内。因此,本申请的保护范围应以权利要求的保护范围为准。
工业实用性:
通过应用本申请的技术方案,数据处理模块对数据采集模块采集的植物生长环境数据进行分析,并根据分析结果控制环境调节模块对植物生长环境进行相应的调节,从而实现植物生长的智能化控制,使得环境数据满足植物的生长需求。

Claims (15)

  1. 一种植物生长智能控制系统,其特征在于,包括数据采集模块、数据处理模块以及环境调节模块;
    所述数据采集模块,与所述数据处理模块相连接,被配置成采集植物生长的环境数据并将所述环境数据发送给所述数据处理模块;
    所述数据处理模块,与所述环境调节模块相连接,被配置成接收所述数据采集模块发送的所述环境数据并进行分析,根据分析结果将调节指令发送给所述环境调节模块;
    所述环境调节模块,被配置成接收所述数据处理模块发送的所述调节指令,并根据所述数据调节指令对植物生长环境进行调节。
  2. 根据权利要求1所述的植物生长智能控制系统,其特征在于,所述数据处理模块还被配置成将所述环境数据与设定阈值进行比较,当所述环境数据超过所述设定阈值时,将所述调节指令发送给所述环境调节模块。
  3. 根据权利要求1所述的植物生长智能控制系统,其特征在于,还包括与所述数据处理模块相连接的云端数据库;
    所述数据处理模块还被配置成将所述环境数据发送给所述云端数据库进行数据分析,并根据分析结果将所述调节指令发送给所述环境调节模块。
  4. 根据权利要求1至3任一项所述的植物生长智能控制系统,其特征在于,所述数据采集模块至少包括光照强度传感器、光谱传感器、二氧化碳传感器、温度传感器、湿度传感器以及水成分微量元素-PH检测器中的一种。
  5. 根据权利要求4所述的植物生长智能控制系统,其特征在于,所述环境调节模块与所述数据采集模块相对应,至少包括光参数控制系统、二氧化碳控制系统、温湿度控制系统和水成分微量元素-PH调节系统中的一种。
  6. 根据权利要求1所述的植物生长智能控制系统,其特征在于,所述数据处理模块包括手动控制模块以及自动控制模块;
    所述手动控制模块,被配置成手动控制所述环境调节模块;
    所述自动控制模块,被配置成自动控制所述环境调节模块。
  7. 根据权利要求1至6任一项所述的植物生长智能控制系统,其特征在于,所述系统还包括与所述数据处理模块相连接的电源模块;
    所述电源模块包括蓄电池和与所述蓄电池相连接的风力发电装置以及光伏发电装置。
  8. 根据权利要求5所述的植物生长智能控制系统,其特征在于,所述环境调节模块包括所述光参数控制系统、所述温湿度控制系统、所述二氧化碳控制系统以及所述水成分微量元素-PH调节系统;
    所述光参数控制系统包括植物生长灯,所述温湿度控制系统包括温度调节装置和喷淋装置,所述二氧化碳控制系统包括二氧化碳调节器,所述水成分微量元素-PH调节系统包括气雾或水成分调节装置。
  9. 根据权利要求2所述的植物生长智能控制系统,其特征在于,所述数据处理模块包括存储器,所述存储器被配置成存储所述设定阈值。
  10. 根据权利要求2所述的植物生长智能控制系统,其特征在于,所述系统还包括与所述数据处理模块相连接的报警模块;
    当所述环境数据超过所述设定阈值时,所述数据处理模块控制所述报警模块进行报警。
  11. 一种植物生长智能控制方法,其特征在于,所述方法包括:
    接收数据采集模块发送的环境数据;
    对所述环境数据进行分析,得到分析结果;
    根据所述分析结果将调节指令发送给环境调节模块。
  12. 根据权利要求11所述的植物生长智能控制方法,其特征在于,所述对所述环境数据进行分析,得到分析结果的步骤,包括:
    将所述环境数据与设定阈值进行比较分析,得到所述分析结果。
  13. 根据权利要求11所述的植物生长智能控制方法,其特征在于,所述对所述环境数据进行分析,得到分析结果的步骤,还包括:
    将所述环境数据发送给云端数据库进行数据分析;
    接收所述云端数据库发送的所述分析结果。
  14. 一种电子终端,其特征在于,包括存储器和处理器;
    所述存储器中存储有可在所述处理器上运行的计算机程序;
    所述处理器执行所述计算机程序时实现如权利要求11-13中任意一项所述的植物生长智能控制方法。
  15. 一种可读存储介质,其上存储有计算机程序,其特征在于,所述计算机程序在执行时实现上述权利要求11-13中任意一项所述的植物生长智能控制方法。
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Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113624912B (zh) * 2020-05-08 2024-04-02 富联精密电子(天津)有限公司 植物生长监控方法、监控装置及可读存储介质
CN111752192A (zh) * 2020-06-10 2020-10-09 元谋县果然好农业科技有限公司 一种葡萄生理情况在线监控系统
CN112255951A (zh) * 2020-10-28 2021-01-22 西安中智电气创新技术有限公司 一种植物生长管理测控方法、装置及存储介质
CN112400515B (zh) * 2020-11-20 2023-11-03 腾讯科技(深圳)有限公司 基于人工智能的植物生长环境控制方法、装置、设备及存储介质
CN114006917A (zh) * 2020-12-16 2022-02-01 谭浩辛 果园监测系统
CN113687616A (zh) * 2021-08-24 2021-11-23 菏泽学院 一种盐碱地栽种绿植生长集中监控管理系统

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101491198A (zh) * 2009-03-10 2009-07-29 中国农业大学 一种植物声波处理设备及方法
CN102823483A (zh) * 2012-09-12 2012-12-19 云南三川生物科技有限公司 利用自然能的重楼种苗快速培育装置及其优化培育方法
CN102867271A (zh) * 2012-08-16 2013-01-09 北京市农林科学院 设施农业标准化种植环境因子控制方案形成的方法
CN103034210A (zh) * 2012-12-19 2013-04-10 江苏农林职业技术学院 一种微型封闭式植物种植环境因子智能调节系统
WO2018013163A1 (en) * 2016-07-14 2018-01-18 Mjnn Llc Control and sensor systems for an environmentally controlled vertical farming system
CN207397144U (zh) * 2017-11-15 2018-05-22 成都新津牧歌生态农业开发有限公司 可用于生态种植大棚内的环境调节装置

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105302200A (zh) * 2014-07-03 2016-02-03 江苏苏北花卉股份有限公司 一种基于物联网的温室智能调控系统
CN205121382U (zh) * 2015-09-24 2016-03-30 刘坤 一种基于arm的温室大棚嵌入式测控系统
CN106873676A (zh) * 2017-02-09 2017-06-20 浙江百倍云信息科技有限公司 一种基于物联网的智慧农业数据采集方法及系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101491198A (zh) * 2009-03-10 2009-07-29 中国农业大学 一种植物声波处理设备及方法
CN102867271A (zh) * 2012-08-16 2013-01-09 北京市农林科学院 设施农业标准化种植环境因子控制方案形成的方法
CN102823483A (zh) * 2012-09-12 2012-12-19 云南三川生物科技有限公司 利用自然能的重楼种苗快速培育装置及其优化培育方法
CN103034210A (zh) * 2012-12-19 2013-04-10 江苏农林职业技术学院 一种微型封闭式植物种植环境因子智能调节系统
WO2018013163A1 (en) * 2016-07-14 2018-01-18 Mjnn Llc Control and sensor systems for an environmentally controlled vertical farming system
CN207397144U (zh) * 2017-11-15 2018-05-22 成都新津牧歌生态农业开发有限公司 可用于生态种植大棚内的环境调节装置

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