CN113849022A - Photovoltaic greenhouse environment management system based on digital twinning and spatial calculation - Google Patents
Photovoltaic greenhouse environment management system based on digital twinning and spatial calculation Download PDFInfo
- Publication number
- CN113849022A CN113849022A CN202111111480.5A CN202111111480A CN113849022A CN 113849022 A CN113849022 A CN 113849022A CN 202111111480 A CN202111111480 A CN 202111111480A CN 113849022 A CN113849022 A CN 113849022A
- Authority
- CN
- China
- Prior art keywords
- layer
- greenhouse
- digital
- spatial
- calculation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004364 calculation method Methods 0.000 title claims abstract description 37
- 238000004088 simulation Methods 0.000 claims abstract description 37
- 230000033228 biological regulation Effects 0.000 claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 230000008447 perception Effects 0.000 claims abstract description 10
- 230000003993 interaction Effects 0.000 claims abstract description 7
- 230000000007 visual effect Effects 0.000 claims abstract description 5
- 238000004458 analytical method Methods 0.000 claims abstract description 3
- 230000008878 coupling Effects 0.000 claims abstract description 3
- 238000010168 coupling process Methods 0.000 claims abstract description 3
- 238000005859 coupling reaction Methods 0.000 claims abstract description 3
- 230000010365 information processing Effects 0.000 claims description 22
- 239000000463 material Substances 0.000 claims description 12
- 238000005516 engineering process Methods 0.000 claims description 11
- 239000002689 soil Substances 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 7
- 238000009423 ventilation Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 230000005855 radiation Effects 0.000 claims description 6
- 238000003973 irrigation Methods 0.000 claims description 5
- 230000002262 irrigation Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 238000012800 visualization Methods 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 4
- 238000009877 rendering Methods 0.000 claims description 4
- 238000010521 absorption reaction Methods 0.000 claims description 3
- 238000009792 diffusion process Methods 0.000 claims description 3
- 238000002834 transmittance Methods 0.000 claims description 3
- 238000005520 cutting process Methods 0.000 claims description 2
- 230000008030 elimination Effects 0.000 claims description 2
- 238000003379 elimination reaction Methods 0.000 claims description 2
- 230000001105 regulatory effect Effects 0.000 abstract description 10
- 230000008859 change Effects 0.000 abstract description 3
- 230000007613 environmental effect Effects 0.000 description 4
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
- 238000010792 warming Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Greenhouses (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a photovoltaic greenhouse environment management system based on digital twins and spatial calculation.A spatial information acquired by a data perception layer is mapped to a corresponding digital twins body to realize three-dimensional visual monitoring of a spatial environment; establishing a physical simulation model of the photovoltaic greenhouse based on the dynamic digital twin body, performing photo-thermal flow field coupling analysis, and predicting the change trend of the environment in the greenhouse; according to the simulation result of the digital twin body, the regulation and control equipment is remotely regulated and controlled through man-machine interaction at a regulation and control equipment layer, so that the accurate regulation and control of the greenhouse environment are realized, and the excessive consumption of resources is avoided.
Description
Technical Field
The invention relates to the technical field of intelligent agricultural Internet of things, in particular to a photovoltaic greenhouse environment management system based on digital twinning and spatial calculation.
Background
Compared with the traditional agriculture, the agricultural facilities such as the greenhouse and the like create a more suitable growth environment isolated from the outside for crops, and can plant out-of-season and pollution-free vegetables and fruits. The existing greenhouse management system is used for managing the growth conditions of crops in the processes from planting to mature picking, monitoring the environmental state through a sensor, and further regulating and controlling environmental control equipment such as irrigation, ventilation, sun shields and the like to maintain the proper growth environment of the crops, thereby achieving the purposes of increasing yield and improving efficiency.
However, the greenhouse has a large internal space, so that the regulation of the internal space environment is time-delayed. And the current greenhouse control system can only qualitatively judge the internal space environment, but can not accurately give the data to be regulated, so that the aim of accurate regulation can not be achieved, on the contrary, the energy can be excessively consumed, and the agricultural production cost is increased.
With the falling of the 5G technology, the perception technology, the transmission technology and the processing technology of the information are further developed. The digital twin technology fully utilizes data such as a physical model, a mechanism model, a management model and the like, maps a real physical world into a virtual space, interconnects and intercommunicates the physical world and an information world, effectively improves monitoring efficiency and improves energy utilization rate.
Although digital twinning technology has been applied in many industries, such as smart cities, smart manufacturing, marine ranches, etc., the integration of digital twinning technology with modern agriculture is still blank.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a photovoltaic greenhouse environment management system based on digital twinning and spatial calculation; compared with the existing greenhouse control system, the greenhouse environment control system integrates a greenhouse environment monitoring, managing and regulating module, and can realize greenhouse environment regulation in a low-carbon mode.
The invention aims to provide a photovoltaic greenhouse environment management system based on digital twins and spatial calculation.
The invention relates to a photovoltaic greenhouse environment management system based on digital twinning and spatial calculation, which comprises: the system comprises a data sensing layer, an information processing layer in signal connection with the data sensing layer, a digital twin layer in signal connection with the information processing layer, a regulation and control equipment layer in signal connection with the digital twin layer and a human-computer interaction layer in signal connection with the regulation and control equipment layer;
the data perception layer is used for collecting space environment information inside and outside the greenhouse in real time and sending the data to the information processing layer for abnormal value processing and mean value calculation; the digital twin layer is used for receiving the data processed by the information processing layer, mapping the real-time data onto a virtual prototype of the real model to form a digital twin body, and performing environment visualization monitoring and physical simulation calculation; the regulation and control equipment layer remotely regulates and controls the regulation and control equipment according to the simulation result of the digital twin body;
the digital twin layer comprises a creation module of a digital twin body, an information module of the digital twin body, a simulation module of the digital twin body and a control module of the digital twin body, and the control module is in signal connection with a regulation and control equipment layer.
Preferably, the data perception layer comprises a small weather monitoring station outside the greenhouse and sensors uniformly arranged inside the greenhouse, and the sensors are in signal connection with a microcontroller.
Preferably, the step of processing the spatial information by the information processing layer includes:
s1, carrying out abnormal value elimination and mean value calculation on the data acquired by the data perception layer;
s2, setting the requirement value of each growth stage of the crops on the environment;
and S3, comparing the value calculated in the step S1 with the required value in the step S2, and judging whether environment regulation is required or not through an information module of the digital twin.
Preferably, the digital twin layer which corresponds to the real greenhouse and can realize virtual-real interaction is created, and the digital twin layer mainly comprises a creation module of a digital twin body, a digital twin body information processing module, a digital twin body simulation module and a control module of the digital twin body.
Preferably, the creating module of the digital twin body needs to create a body model based on a real greenhouse and sensing equipment and regulating equipment installed in the greenhouse, establish a spatial environment information set corresponding to the greenhouse, and display the spatial environment information set by using a three-dimensional visualization technology;
the greenhouse body model comprises wall material information of an envelope structure of the greenhouse, and the wall material information comprises the physical characteristics of thickness, area and materials: specific heat capacity, thermal conductivity, scattering coefficient, absorption coefficient, diffusion coefficient and material light transmittance.
Preferably, the digital twin information layer maps the spatial information data such as air temperature, humidity, wind speed, soil temperature, humidity and illuminance, which are acquired by the sensing equipment in real time, into a corresponding virtual space, and performs three-dimensional visual rendering on the data information.
Preferably, the digital twin simulation module performs topological calculation and spatial cutting according to the internal space and the physical object of the greenhouse, considers thermal radiation to build a physical model of the greenhouse, takes real-time data of the information processing layer as an initial parameter value of the simulation calculation model, applies a CFD (computational fluid dynamics) simulation technology to perform photo-thermal flow field coupling analysis, and obtains accurate scheduling values and scheduling time of various environment variables of ventilation, temperature, humidity and radiation according to a simulation calculation result.
Preferably, the k-epsilon turbulence model equation of the air flow field and the temperature field inside the photovoltaic greenhouse in the digital twin simulation module is as follows:
k transport equation:
the epsilon transport equation:
wherein k is turbulent kinetic energy, m2/s 2; ε is the turbulent dissipation ratio, m2/s 3;
is the vortex viscosity coefficient; cμ＝0.09
σk＝1.00，σε＝1.30，C1ε＝1.44，C2ε＝1.92。
Preferably, the regulation and control equipment layer includes ventilation motor, sprinkling irrigation, photovoltaic panel, sunshading board, light filling lamp, rolls up curtain, heater and wet curtain.
Compared with the prior art, the invention has the beneficial effects that:
(1) according to the invention, the digital twin information module is utilized to map the spatial environment information acquired by the sensor in real time into the corresponding digital twin body, and the digital information is subjected to three-dimensional visual rendering, so that a user can dynamically and comprehensively monitor the environment state of any area in the greenhouse in real time.
(2) The method utilizes the digital twin simulation module to create a physical model, predicts the change trend of the environment in the greenhouse through numerical simulation calculation, obtains the accurate value of each environment variable to be regulated according to the simulation calculation result, realizes the quantification of environment regulation and control, and avoids the waste of resources.
(3) According to the simulation result of the digital twin body, the regulation and control equipment is remotely regulated and controlled through man-machine interaction on the regulation and control equipment layer, and the large-area greenhouse can be managed with less manpower input.
Drawings
FIG. 1 is a system architecture diagram of a photovoltaic greenhouse environment management system based on digital twinning and spatial computing according to the present invention;
FIG. 2 is a CFD simulation calculation solving flow chart of a digital twin simulation module of the photovoltaic greenhouse environment management system based on digital twin and spatial calculation according to the invention;
fig. 3 is a schematic diagram of a photovoltaic greenhouse environment management system based on digital twinning and spatial calculation according to an embodiment of the present invention.
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.
Referring to fig. 1-2, a photovoltaic greenhouse environment management system based on digital twinning and spatial computing comprises: the system comprises a data sensing layer, an information processing layer in signal connection with the data sensing layer, a digital twin layer in signal connection with the information processing layer, a regulation and control equipment layer in signal connection with the digital twin layer and a human-computer interaction layer in signal connection with the regulation and control equipment layer;
the data perception layer is used for collecting space environment information inside and outside the greenhouse in real time and sending the data to the information processing layer for abnormal value processing and mean value calculation; the digital twin layer is used for receiving the data processed by the information processing layer, mapping the real-time data onto a virtual prototype of the real model to form a digital twin body, and performing environment visualization monitoring and physical simulation calculation; the regulation and control equipment layer remotely regulates and controls the regulation and control equipment according to the simulation result of the digital twin body;
the digital twin layer comprises a creation module of a digital twin body, an information module of the digital twin body, a simulation module of the digital twin body and a control module of the digital twin body, and the control module is in signal connection with a regulation and control equipment layer.
Further, the data perception layer includes the sensor that small-size meteorological monitoring station and warmhouse booth evenly arranged outside the warmhouse booth, sensor signal connection has microcontroller.
The digital twin layer comprises a creation module of a digital twin body, an information module of the digital twin body, a simulation module of the digital twin body and a control module of the digital twin body, and the control module is in signal connection with a regulation and control equipment layer.
Example one
A greenhouse environment management system based on digital twin and space calculation comprises a memory and at least one processor, wherein the processor can be a local server or a cloud server. The memory has instructions stored therein, the memory and the at least one processor being interconnected by wires.
Referring to fig. 3, the data sensing layer comprises environmental information acquisition points arranged inside and outside the greenhouse:
(1) outdoor collection points: a small weather station is arranged outside a greenhouse, and outdoor parameters such as temperature, humidity, soil water content, illuminance, wind and snow weather, wind speed, wind direction, rainfall and the like are accurately acquired.
(2) Indoor collection points: monitoring nodes are uniformly arranged in the greenhouse, and each monitoring node is provided with an air temperature and humidity sensor, a soil comprehensive sensor (which can simultaneously monitor parameters such as soil temperature, soil moisture and soil pH), a light intensity sensor and a carbon dioxide sensor;
further, the information processing layer processes the acquired data, and the specific steps include:
s1, removing abnormal values and calculating the mean value of the data acquired by the data perception layer;
s2, acquiring environmental information suitable for growth from an expert information base according to crops (varieties and growth periods) growing in the greenhouse at present, and then setting the requirement values of the crops on the environment in each growth stage;
and S3, comparing the numerical value calculated in the step S1 with the required value in the step S2, judging whether environment regulation is needed, and carrying out early warning display through an information module of the digital twin.
Further, in the creation module of the digital twin, a corresponding ontology model, and sensing equipment and regulating equipment installed inside the greenhouse need to be created based on the real greenhouse.
The greenhouse body model comprises a geometric model and material information, such as wall materials of a building envelope, and the thickness and physical properties (specific heat capacity, heat conductivity, scattering coefficient, absorption coefficient, diffusion coefficient, material light transmittance and the like) of the material are required to be included.
Furthermore, the digital twin information module is used for mapping the spatial information data acquired by the information processing layer into a corresponding virtual space and performing three-dimensional visual rendering on the spatial information data. The spatial information data includes air temperature, humidity, wind speed, soil temperature, humidity and illuminance.
Furthermore, the digital twin simulation module is used for establishing a physical simulation model RNG k-epsilon turbulence model of the greenhouse by taking real-time data of the information processing layer as initial conditions of simulation calculation, performing numerical simulation of a ventilation environment, a temperature environment and a radiation environment by combining outdoor environment data information and considering thermal radiation, thermal conduction and thermal convection, and calculating a specific regulation and control strategy by performing a resource coordination scheme according to a simulation result.
Further, a k-epsilon turbulence model equation of an air flow field and a temperature field inside the photovoltaic greenhouse is as follows:
k transport equation:
the epsilon transport equation:
wherein k is turbulent kinetic energy, m2/s 2; ε is the turbulent dissipation ratio, m2/s 3;
is the vortex viscosity coefficient; cμ＝0.09，
σk＝1.00，σε＝1.30，C1ε＝1.44，C2ε＝1.92。
The digital twin control module remotely controls equipment terminals installed in the greenhouse according to an optimal regulation and control scheme provided by the information processing layer and the simulation model, and the equipment terminals comprise a ventilation motor, a sprinkling irrigation device, a photovoltaic panel, a sun shield, a light supplement lamp, a roller shutter, a heater and a wet shutter. And the change process of the space environment in the greenhouse can be dynamically displayed in the virtual model.
Further, the greenhouse internal environment regulation strategy comprises: warming. By using a central heating method for reference, heat is quickly conveyed to the air and soil in the shed through a heating pipeline and a buried pipe. And secondly, cooling. In winter, if the temperature at noon exceeds the proper temperature of crops, cooling measures, such as opening a convection fan to increase heat dissipation, need to be taken. And thirdly, heat equalization. When the greenhouse is in a low-temperature time period in one day, the pipeline can be heated in the greenhouse, and the balance fan is used for transferring heat from the high-temperature zone to the low-temperature zone.
Further, the regulatory device layer includes:
the regulation and control equipment comprises: fan, sprinkling irrigation, sunshading board, light filling lamp, roll up curtain, heater and wet curtain.
According to the simulation result, the specific starting time of the equipment is regulated and controlled
The number of devices and the scale of the processes described herein are intended to simplify the description of the invention, and applications, modifications and variations of the invention will be apparent to those skilled in the art.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.
Claims (9)
1. A photovoltaic greenhouse environment management system based on digital twinning and spatial calculation is characterized by comprising:
the system comprises a data sensing layer, an information processing layer in signal connection with the data sensing layer, a digital twin layer in signal connection with the information processing layer, a regulation and control equipment layer in signal connection with the digital twin layer and a human-computer interaction layer in signal connection with the regulation and control equipment layer;
the data perception layer is used for collecting space environment information inside and outside the greenhouse in real time and sending the data to the information processing layer for abnormal value processing and mean value calculation; the digital twin layer is used for receiving the data processed by the information processing layer, mapping the real-time data onto a virtual prototype of the real model to form a digital twin body, and performing environment visualization monitoring and physical simulation calculation; the regulation and control equipment layer remotely regulates and controls the regulation and control equipment according to the simulation result of the digital twin body;
the digital twin layer comprises a creation module of a digital twin body, an information module of the digital twin body, a simulation module of the digital twin body and a control module of the digital twin body, and the control module is in signal connection with a regulation and control equipment layer.
2. The photovoltaic greenhouse environment management system based on digital twinning and spatial calculation as claimed in claim 1, wherein the data sensing layer comprises sensors uniformly arranged outside the greenhouse and inside the greenhouse, and the sensors are in signal connection with a microcontroller.
3. The photovoltaic greenhouse environment management system based on digital twin and spatial calculation as claimed in claim 1, wherein the information processing layer processes spatial information comprising:
s1, carrying out abnormal value elimination and mean value calculation on the data acquired by the data perception layer;
s2, setting the requirement value of each growth stage of the crops on the environment;
and S3, comparing the value calculated in the step S1 with the required value in the step S2, and judging whether environment regulation is required or not through an information module of the digital twin.
4. The photovoltaic greenhouse environment management system based on digital twins and spatial calculation as claimed in claim 1, wherein a digital twins layer which corresponds to a real greenhouse and can realize virtual-real interaction is created, and the system mainly comprises a creation module of a digital twins, a digital twins information processing module, a digital twins simulation module and a control module of a digital twins.
5. The photovoltaic greenhouse environment management system based on digital twins and spatial calculation as claimed in claim 4, wherein the creation module of the digital twins needs to create a body model based on a real greenhouse and sensing equipment and regulation and control equipment installed inside, establish a spatial environment information set corresponding to the greenhouse, and display the spatial environment information set by using a three-dimensional visualization technology;
the greenhouse body model comprises wall material information of an envelope structure of the greenhouse, and the wall material information comprises the physical characteristics of thickness, area and materials: specific heat capacity, thermal conductivity, scattering coefficient, absorption coefficient, diffusion coefficient and material light transmittance.
6. The photovoltaic greenhouse environment management system based on digital twinning and spatial calculation as claimed in claim 4, wherein the digital twinning information layer maps spatial information data such as air temperature, humidity, wind speed, soil temperature, humidity and illuminance, which are collected by sensing equipment in real time, into a corresponding virtual space, and performs three-dimensional visual rendering on the data information.
7. The photovoltaic greenhouse environment management system based on digital twins and spatial calculation as claimed in claim 4, wherein the digital twins simulation module performs topology calculation and spatial cutting according to the internal space and the physical object of the greenhouse, considers thermal radiation to build a greenhouse physical model, takes real-time data of an information processing layer as an initial parameter value of the simulation calculation model, performs photo-thermal flow field coupling analysis by using CFD simulation technology, and obtains accurate scheduling values and scheduling time of various environment variables of ventilation, temperature, humidity and radiation according to the simulation calculation result.
8. The photovoltaic greenhouse environment monitoring system based on digital twinning and space calculation as claimed in claim 7, wherein k-epsilon turbulence model equation of the internal air flow field and temperature field of the photovoltaic greenhouse in the digital twinning simulation module:
k transport equation:
transport equation:
wherein k is turbulent kinetic energy, m2/s 2; ε is the turbulent dissipation ratio, m2/s 3;
is the vortex viscosity coefficient; cμ＝0.09，
σk＝1.00，σε＝1.30，C1ε＝1.44，C2ε＝1.92。
9. The photovoltaic greenhouse environment management system based on digital twinning and spatial calculation as claimed in claim 1, wherein the regulation and control equipment layer comprises ventilation motor, sprinkler irrigation, photovoltaic panel, sun visor, fill light, roller blind, heater and wet curtain.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111111480.5A CN113849022A (en) | 2021-09-23 | 2021-09-23 | Photovoltaic greenhouse environment management system based on digital twinning and spatial calculation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111111480.5A CN113849022A (en) | 2021-09-23 | 2021-09-23 | Photovoltaic greenhouse environment management system based on digital twinning and spatial calculation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113849022A true CN113849022A (en) | 2021-12-28 |
Family
ID=78979074
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111111480.5A Pending CN113849022A (en) | 2021-09-23 | 2021-09-23 | Photovoltaic greenhouse environment management system based on digital twinning and spatial calculation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113849022A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116738766A (en) * | 2023-08-11 | 2023-09-12 | 安徽金海迪尔信息技术有限责任公司 | Intelligent agriculture online industrialization service system based on digital twinning |
| CN117314128A (en) * | 2023-11-29 | 2023-12-29 | 河北友蓝科技有限公司 | Smart city energy management method and system based on digital twin technology |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103365212A (en) * | 2013-07-16 | 2013-10-23 | 上海元亘信息科技有限公司 | Greenhouse control method based on CFD numerical simulation |
| CN103430794A (en) * | 2013-07-08 | 2013-12-11 | 北京凡元兴科技有限公司 | Solar vegetable greenhouse |
| CN103455676A (en) * | 2013-09-04 | 2013-12-18 | 重庆建工住宅建设有限公司 | Method for simulating indoor thermal environment by fluid mechanics |
| CN103995553A (en) * | 2014-06-14 | 2014-08-20 | 福建农林大学 | Method for distributing temperature and humidity sensors in Maitake mushroom house |
| CN105608289A (en) * | 2016-01-21 | 2016-05-25 | 吉林建筑大学 | Heat-preservation greenhouse modeling method used for sewage treatment at northeast severe cod region |
| CN107545100A (en) * | 2017-07-31 | 2018-01-05 | 江苏大学 | A kind of high-resolution Reduced Modeling Methods of venlo types greenhouse |
| CN111210359A (en) * | 2019-12-30 | 2020-05-29 | 中国矿业大学(北京) | Intelligent mine scene oriented digital twin evolution mechanism and method |
| CN111309080A (en) * | 2020-03-05 | 2020-06-19 | 河南农业大学 | Plant ecological control system |
| CN111507857A (en) * | 2020-04-22 | 2020-08-07 | 青岛逸景数字科技有限公司 | Digital agricultural planting system and method based on Internet of things technology |
| WO2020205484A1 (en) * | 2019-03-29 | 2020-10-08 | Smartrac Technology Fletcher, Inc. | Digital twin system with energy harvesting sensor devices |
| WO2021134114A1 (en) * | 2019-12-31 | 2021-07-08 | Alicanto Media Pty Ltd | Technology configured to provide user interface visualisation of agricultural land, including 3d visualized modelling of an agricultural land region based on flow, hybridized multiple resolution visualisation and/or automated field segregation |
| CN113191914A (en) * | 2021-05-13 | 2021-07-30 | 廊坊市气象局 | Digital twin body construction system for precise monitoring of sunlight greenhouse |
| CN113273449A (en) * | 2021-05-13 | 2021-08-20 | 廊坊市气象局 | Digital twin body construction method for precise monitoring of sunlight greenhouse |
-
2021
- 2021-09-23 CN CN202111111480.5A patent/CN113849022A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103430794A (en) * | 2013-07-08 | 2013-12-11 | 北京凡元兴科技有限公司 | Solar vegetable greenhouse |
| CN103365212A (en) * | 2013-07-16 | 2013-10-23 | 上海元亘信息科技有限公司 | Greenhouse control method based on CFD numerical simulation |
| CN103455676A (en) * | 2013-09-04 | 2013-12-18 | 重庆建工住宅建设有限公司 | Method for simulating indoor thermal environment by fluid mechanics |
| CN103995553A (en) * | 2014-06-14 | 2014-08-20 | 福建农林大学 | Method for distributing temperature and humidity sensors in Maitake mushroom house |
| CN105608289A (en) * | 2016-01-21 | 2016-05-25 | 吉林建筑大学 | Heat-preservation greenhouse modeling method used for sewage treatment at northeast severe cod region |
| CN107545100A (en) * | 2017-07-31 | 2018-01-05 | 江苏大学 | A kind of high-resolution Reduced Modeling Methods of venlo types greenhouse |
| WO2020205484A1 (en) * | 2019-03-29 | 2020-10-08 | Smartrac Technology Fletcher, Inc. | Digital twin system with energy harvesting sensor devices |
| CN111210359A (en) * | 2019-12-30 | 2020-05-29 | 中国矿业大学(北京) | Intelligent mine scene oriented digital twin evolution mechanism and method |
| WO2021134114A1 (en) * | 2019-12-31 | 2021-07-08 | Alicanto Media Pty Ltd | Technology configured to provide user interface visualisation of agricultural land, including 3d visualized modelling of an agricultural land region based on flow, hybridized multiple resolution visualisation and/or automated field segregation |
| CN111309080A (en) * | 2020-03-05 | 2020-06-19 | 河南农业大学 | Plant ecological control system |
| CN111507857A (en) * | 2020-04-22 | 2020-08-07 | 青岛逸景数字科技有限公司 | Digital agricultural planting system and method based on Internet of things technology |
| CN113191914A (en) * | 2021-05-13 | 2021-07-30 | 廊坊市气象局 | Digital twin body construction system for precise monitoring of sunlight greenhouse |
| CN113273449A (en) * | 2021-05-13 | 2021-08-20 | 廊坊市气象局 | Digital twin body construction method for precise monitoring of sunlight greenhouse |
Non-Patent Citations (3)
| Title |
|---|
| 林伟豪，等, 天津大学出版社 * |
| 林伟豪，等: "《船舶螺旋桨射流理论与工程计算》", 31 May 2018, 天津大学出版社 * |
| 陈志刚: "《5G革命》", 30 June 2020, 湖南文艺出版社 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116738766A (en) * | 2023-08-11 | 2023-09-12 | 安徽金海迪尔信息技术有限责任公司 | Intelligent agriculture online industrialization service system based on digital twinning |
| CN116738766B (en) * | 2023-08-11 | 2023-10-13 | 安徽金海迪尔信息技术有限责任公司 | Intelligent agriculture online industrialization service system based on digital twinning |
| CN117314128A (en) * | 2023-11-29 | 2023-12-29 | 河北友蓝科技有限公司 | Smart city energy management method and system based on digital twin technology |
| CN117314128B (en) * | 2023-11-29 | 2024-02-02 | 河北友蓝科技有限公司 | Smart city energy management method and system based on digital twin technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Azaza et al. | Smart greenhouse fuzzy logic based control system enhanced with wireless data monitoring | |
| He et al. | Experimental study of cooling effects of a passive evaporative cooling wall constructed of porous ceramics with high water soaking-up ability | |
| CN113849022A (en) | Photovoltaic greenhouse environment management system based on digital twinning and spatial calculation | |
| CN105242723B (en) | Internet of things-based livestock breeding environment automatic adjustment and control system and adjustment and control method | |
| CN105159257A (en) | Integrated control system and method for plant factory | |
| CN202904310U (en) | Intelligent control system used for rolling up/down of curtain and wind prevention film fixation of sunlight greenhouse | |
| CN105974976B (en) | A kind of intelligent greenhouse control and management system based on Internet of Things | |
| CN102835278B (en) | Multi-source combined cold and heat supply simulated experiment greenhouse | |
| CN112136667B (en) | Intelligent sprinkling irrigation method and system based on edge machine learning | |
| CN205028184U (en) | Greenhouse automatic monitoring device | |
| Lee et al. | Assessing the performance potential of climate adaptive greenhouse shells | |
| CN113349045A (en) | Double-tower-based continuous water culture pasture cultivation control system and working method thereof | |
| Campen et al. | Mechanically controlled moisture removal from greenhouses | |
| CN115907366A (en) | Agricultural product growth environment optimal regulation and control method and equipment based on flamingo algorithm | |
| CN115933785A (en) | Environment control method and system for solar photo-thermal agricultural greenhouse | |
| Hu et al. | A framework of the intelligent plant factory system | |
| CN110073857A (en) | A kind of greenhouse facade ventilating and thermal insulating global anti-wind system and control method | |
| CN116578031A (en) | Intelligent agricultural greenhouse remote monitoring regulation and control system | |
| CN215376182U (en) | Greenhouse environment control system | |
| CN211129137U (en) | Hydrologic cycle control by temperature change big-arch shelter | |
| CN107006299A (en) | A kind of crop-planting greenhouse system with illumination apparatus | |
| CN107041256A (en) | A kind of crop-planting greenhouse system with irrigation rig | |
| Oktarina et al. | Solar Powered Greenhouse for Smart Agriculture | |
| Goo et al. | Development of Smart Greenhouse Energy Analysis Model and Analysis of Cooling Packages Performance | |
| AU2021100311A4 (en) | System and method for fuzzy-based control and measurement of temperature and humidity for greenhouse |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211228 |
|
| RJ01 | Rejection of invention patent application after publication |