CN113191914A - Digital twin body construction system for precise monitoring of sunlight greenhouse - Google Patents
Digital twin body construction system for precise monitoring of sunlight greenhouse Download PDFInfo
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Abstract
The utility model provides a digital twin structure system for sunlight greenhouse accurate monitoring, includes intelligent monitoring control edge node, intelligent network deployment transmission node, high in the clouds storage calculation node and the digital twin sunlight greenhouse platform that links to each other in order, visual control terminal node with digital twin sunlight greenhouse platform links to each other, and the expansion module node is connected intelligent network deployment transmission node. The invention can realize the automatic real-time acquisition, display and modeling analysis of multi-environment element data, and support the automatic linkage regulation and control according to the early warning rule, thereby achieving the effects of improving the crop yield, reducing the operation and management cost, improving the disaster risk resistance, optimizing the management mode and enhancing the automatic management and control capability of the greenhouse.
Description
Technical Field
The invention relates to the technical field of automatic environment monitoring, in particular to a precise sunlight greenhouse monitoring digital twin structure system.
Background
China is the world with the largest greenhouse area, and has become the most popular in villages in recent years. However, the sunlight greenhouse planting in China is still in the traditional agricultural stage at present, and the sunlight greenhouse planting method has the limitations of insufficient modernization degree and insufficient cost and investment. There are mainly the following problems:
1. most greenhouse planting farmers still take manual management as the main part, depend on the planting experience and actual feeling of the farmers, pay attention to the use of water and fertilizer, and lack attention to elements such as sunlight greenhouse, crops and planting related weather. Diseases and pests and adverse environmental conditions of stressed crop growth factors caused by insufficient temperature and humidity management occur occasionally, and losses are caused to growers.
2. Digital acquisition equipment is expensive, and the automation investment is insufficient. Automatic monitoring and control equipment are less in the greenhouse, even there is observation equipment, and because the cost of automation is high, only single-point observation has been carried out, and monitoring greenhouse environment precision reduces, the precision is low.
3. The problems of low resource utilization rate and labor force increase always limit the economic benefit of the greenhouse sunlight greenhouse. Although the investment on intelligent agriculture in China is continuously increased, intelligent control strategies are also increased. But more, the system is optimized and adjusted manually according to historical agricultural production experience, or a single algorithm is adopted to monitor and control the whole system. The scientificity is insufficient in the production process, and the sensitivity and accuracy of the system are still not high.
4. A standardized planting management concept is lacking. Most growers can adjust the planting method based on experience and technology of other places blindly, and the planting method has certain randomness and non-replicability. Accurate digital analysis modeling, analysis and empirical models cannot be established. The quality and economic benefit cannot be improved permanently.
In recent years, the technology development of the internet of things and the internet is very rapid, artificial intelligence and machine learning are also gradually applied to agricultural production, an intelligent algorithm can bring faster development to an intelligent greenhouse system, the accuracy and the sensitivity of the system can be greatly improved, and the future greenhouse agricultural production development direction is intelligentized, networked and precise.
Disclosure of Invention
The invention provides a sunlight greenhouse accurate monitoring digital twin structure system, which aims to solve the technical problems in the background technology.
The invention provides a construction system for sunlight greenhouse digital twin bodies, which can be used for dynamically, real-timely and continuously acquiring and monitoring sunlight greenhouse, crops and planting processes, further performing digital modeling on the sunlight greenhouse, the crops and the planting processes, constructing time, space and element digital twin bodies, and constructing standardized sunlight greenhouse design construction, standardized crop growth processes and standardized planting management schemes through analysis and experiments. And the intelligent identification, positioning, tracking, monitoring and management of the sunlight greenhouse, crops and planting process are finally realized. The invention is customized according to local conditions, provides a digital foundation for reasonable planting under different environmental conditions, and promotes the development of facility agriculture to intelligent agriculture.
The invention relates to a digital twin construction system for precise monitoring of a sunlight greenhouse, which comprises the following components connected in sequence:
the intelligent monitoring control edge node is used for carrying out three-dimensional stationing observation and linkage control in the sunlight greenhouse;
the intelligent networking transmission node is used for networking the intelligent monitoring control edge node and transmitting data;
the cloud storage computing node is used for storing, analyzing and displaying data from the intelligent monitoring control edge node and the intelligent networking transmission node;
the digital twinning sunlight greenhouse platform is used for inquiring, analyzing, displaying and sharing data from the intelligent monitoring control edge node, the intelligent networking transmission node and the cloud storage computing node in real time; and
and the visual control terminal node is in communication connection with the digital twin sunlight greenhouse platform and is connected with the intelligent networking transmission node through an expansion module node.
The intelligent monitoring control edge node comprises a core computing unit, and a monitoring sensor module, a control linkage module, a networking communication network module, a power supply module and a storage module which are respectively connected with the core computing unit, so that three-dimensional stationing observation and linkage control are carried out in a sunlight greenhouse.
The monitoring sensor module is used for monitoring, observing and acquiring data of environmental elements and comprises an air temperature and humidity monitoring module, an illumination intensity monitoring module, a soil monitoring module, a crop monitoring module and/or an image acquisition module.
The control linkage module is used for providing a linkage control function for equipment in the sunlight greenhouse and comprises a wireless radio frequency module, an infrared control module, a heating and ventilating module, a shading and light supplementing module, a pest expelling and pesticide spraying module, an irrigation module and/or a monitoring display module.
The networking communication network module is used for transmitting network data and comprises Lora, 4G-LTE, WIFI, NB-IoT and/or ZigBee networking transmission protocol modules.
The intelligent networking transmission node comprises gateway equipment, a transmitter and an antenna.
The digital twinning sunlight greenhouse platform comprises:
the edge node data acquisition module acquires greenhouse, crop, planting process and equipment running state data through the intelligent monitoring control edge node, and collects the data to a cloud end through the intelligent networking transmission node;
the intelligent monitoring control edge node comprises a greenhouse body library, a crop library, a planting management library and an equipment library, wherein the greenhouse body library, the crop library, the planting management library and the equipment library respectively store monitoring data which are acquired by the intelligent monitoring control edge node and are related to a greenhouse body, crops, planting management and greenhouse equipment;
the system comprises an expert and knowledge base, an algorithm and model base and a rule and plan base, wherein the expert and knowledge base stores an expert theoretical empirical model and knowledge generated and verified by an analysis module, the algorithm and model base stores a data analysis algorithm and a model generated and verified by the analysis module, and the rule and plan base stores linkage rules and early warning plans;
the greenhouse data warehouse is used for constructing a data warehouse of space, time and elements after data cleaning, extraction and conversion based on data stored in the greenhouse ontology library, the crop library and the planting management library;
the data analysis module is used for analyzing the data acquired by the edge node data acquisition module;
the automatic plan execution module extracts the rules from the rules and the plan library and automatically executes the response plan by judging the rules;
the equipment linkage module is respectively connected with the equipment library and the control instruction sending module so as to enable the equipment linkage module of the intelligent monitoring control edge node to carry out relevant equipment linkage of the equipment library;
the control instruction sending module is in communication connection with the equipment linkage module and provides a control execution instruction input interface and a related feedback function;
the external database is used for storing external weather forecast data, market analysis data and surrounding environment data;
and the disaster deduction module is connected with the external database and the rule and plan library, performs disaster deduction analysis of the greenhouse by combining rules, plans and external data generated by internal data analysis, and outputs disaster response plans to the rule and plan library.
The invention achieves the following beneficial technical effects:
1. the cost is controllable, and the customization is flexible.
Firstly, the intelligent nodes are used as edge terminals, and can be deployed according to the actual requirements and cost budget of the development stage of the sunlight greenhouse and the requirements of planting monitoring elements in a planned step. If the facility sunlight greenhouse just begins to contact with the automation equipment, raspberry groups can be tried to be selected as core processing units in the earlier stage, environment element sensors of various foundations are integrated, the requirement for meeting the basic weather monitoring requirement is met, and meanwhile the cost of the collection nodes is actually reduced. Along with the development of the sunlight greenhouse of facility farmers, the investment on automation equipment is increased, the configuration of upgrading partial intelligent nodes can be considered, three-dimensional detection is carried out, the environmental element data in the sunlight greenhouse is accurately acquired, and modules such as storage, a power supply and intelligent control are expanded. When the facility farmers manage the whole facility agriculture garden area, the management cost is increased and the complexity is increased sharply, more cost can be invested to further consider customizing intelligent nodes of different levels according to different planting functional areas, networking is carried out in the garden area, large-screen display and control are provided, and intelligent linkage is further realized.
And secondly, flexibly customizing an intelligent node comprehensive three-dimensional monitoring point arrangement scheme according to the point location area where the intelligent node is located, the type of the sunlight greenhouse, the planted crops and the observation factors. For example, the intelligent node observation elements of the distribution position close to the ground crop horizontal plane comprise soil moisture content, illumination temperature and humidity, crop growth state images and the like; the point location intelligent nodes hung in the air do not need to pay attention to soil moisture content, but need more attention to facility linkage; the intelligent nodes of the distribution positions of the areas inside and outside the boundary of the sunlight greenhouse pay more attention to the internal and external environment parameters of the sunlight greenhouse and the state image of the sunlight greenhouse body; in addition, different crops, such as strawberries and mushrooms, have different environmental monitoring element types which need to be focused, and different intelligent nodes can be set according to actual crop requirements.
In a word, the invention can well support the customized planting according to the planting scale and the development stage of facility farmers according to local conditions, thereby minimizing the cost and maximizing the benefit.
2. Easy to expand and upgrade online.
First, the smart nodes support good upgrade extensions for the sensors and control modules. The core computing unit of the intelligent node is provided with an operating system, can be quickly compatible with a new version of sensor through programming and installing a driver, and realizes function improvement. Therefore, along with the development of sensor technology, the function and the precision of the sensor are improved, and a facility farmer can select a proper time to replace and upgrade the sensor. When a new sensor type appears, the sensor type can be rapidly integrated on the original intelligent node, so that the monitoring control function is expanded while the repeated investment is saved.
Secondly, the intelligent nodes support online upgrade and maintenance of algorithms and models. Along with the aging of the sunlight greenhouse, the replacement of crop varieties, the change of various model parameters such as the climate change of the external environment and the like, the output of the model also generates difference. The method supports online upgrading and adjusting of the model parameters through real-time monitoring, and real-time and accurate model optimization and replacement are obtained. In addition, through intelligent node networking and platform integration, cloud remote patrol and maintenance, fault online maintenance, remote diagnosis and online debugging of equipment and nodes are realized for the intelligent nodes and various automatic equipment in the sunlight greenhouse.
3. Accurate service, quality improvement and efficiency improvement.
The invention starts from an intelligent node for digitalizing in the real world, automatically collects, monitors and links equipment for a real sunlight greenhouse, crops and planting management mode through the intelligent node, and obtains real-time and historical data of the digital sunlight greenhouse, the digital crops and the digital planting management. The data can accurately reflect the state of the solar greenhouse, crops and planting management on high time and spatial resolution. And a foundation is laid for accurate service.
According to the invention, based on a cloud statistics and modeling analysis method, after a large amount of real data are collected to the cloud, through data-driven modeling and analysis of various different methods, a standardized sunlight greenhouse design mode, a crop growth standard model and a standardized management system can be obtained. Support is provided for subsequent better scale enlargement and quality improvement.
Furthermore, on the basis of digitization and standardization, by expanding an artificial intelligence algorithm and an automatic linkage module of an intelligent node, intelligent management can be constructed to construct an intelligent sunlight greenhouse, crops and planting, so that accurate management and control are realized, planting personnel are liberated from heavy and low-efficiency work and are converted into intelligent planting experts, and the aims of cost reduction, efficiency improvement and high-quality development of facility agriculture are better realized.
Drawings
FIG. 1 is a schematic diagram of the components of a sunlight greenhouse precision monitoring digital twin construction system of the present invention;
FIG. 2 is a schematic diagram of the components of an intelligent supervisory control edge node;
FIG. 3 is a schematic diagram of the composition of a digital twinning sunlight greenhouse platform.
Description of the reference numerals
1-monitoring control edge nodes; 2-a networking transmission node; 3-cloud storage of computing nodes; 4-digital twinning sunlight greenhouse platform; 5, visually controlling the terminal nodes; 6-an expansion module node; 11-core computation unit; 12-monitoring a sensor module; 13-control the linkage module; 14-a network module; 15-a power supply module; 16-storage module.
Detailed Description
So that the manner in which the above recited features of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings.
As shown in fig. 1, the sunlight greenhouse accurate monitoring digital twin construction system comprises an intelligent monitoring control edge node 1, an intelligent networking transmission node 2, a cloud storage calculation node 3 and a digital twin sunlight greenhouse platform 4 which are sequentially connected, a visual control terminal node 5 is connected with the digital twin sunlight greenhouse platform 4, and an expansion module node 6 is connected with the networking transmission node 2.
According to the structure of the cloud side, the system can also be divided into two functional systems of a node section and a cloud end. The distinction is as follows:
edge node end: the monitoring element data acquisition, transmission and control instruction receiving (acquisition node) or control instruction receiving, execution and state feedback (control node) are provided, and simple data conversion, processing, analysis and state display functions are realized. Meanwhile, the functions of receiving, sending, forwarding and recording storage of node data and control instructions, the function of identification and operation of a simple model and the function of visual alarm display are provided.
Cloud: the functions of storing, analyzing, calculating and displaying a large amount of data are provided; the functions of remote patrol of the cloud of the equipment, centralized monitoring, intelligent linkage, disaster deduction and the like are provided. Publishing web services and app application services.
The components are as follows:
1. intelligent monitoring control edge node
As shown in fig. 2, the intelligent monitoring control edge node 1 is used for performing stereoscopic stationing observation and linkage control in the sunlight greenhouse. The system comprises a core computing unit 11, wherein an operating system can be installed in the core computing unit, task scheduling and timing execution are supported, programming and compiling debugging can be carried out, and complex operation and analysis can be realized. On the basis, the integrated monitoring sensor module 12, the control linkage module 13, the networking communication network module 14, the power module 15, the storage module 16 and other expansion modules are connected with the core computing unit 11.
The core computing unit 11 and the modules are in a selectable combination relationship. And designing modules of different point position monitoring control edge nodes according to functions, crops and greenhouse control positions, and customizing, integrating and assembling. The modules involved in each module are also in an optional combination relationship. The device can be assembled according to functions, cost and elements, and can be integrated with other devices.
The monitoring sensor module 12 is used for monitoring, observing and acquiring data of environmental elements, and includes an air temperature and humidity monitoring module, an illumination intensity monitoring module, a soil monitoring module, a crop monitoring module and/or an image acquisition module and other element monitoring modules.
The control linkage module 13 is used for providing a linkage control function for equipment in the sunlight greenhouse, and comprises a wireless radio frequency module, an infrared control module, a heating and ventilating module, a shading and light supplementing module, a pest expelling and pesticide spraying module, an irrigation module, a monitoring display module and the like.
The networking communication network module 14 is configured to perform network data transmission, and may include networking transmission protocol modules such as Lora, 4G-LTE, WIFI, NB-IoT, and/or ZigBee.
The power module 15 is mainly located to provide edge storage and power supply functions, and includes power modules such as solar and/or lithium batteries.
The storage module 16 is mainly located to provide edge storage function, and includes modules such as a local TF card, NAS storage, a removable disk, and/or cloud storage.
2. Intelligent networking transmission node
The intelligent networking transmission node 2 comprises gateway equipment, a transmitter, an antenna and the like, and is used for providing networking transmission service for each edge node and carrying out data summarization and instruction transmission among each network equipment node in the garden. And the system is responsible for submitting the data to the cloud storage computing node according to the preset frequency and transmitting a cloud linkage instruction and online operation data.
3. Cloud storage computing node
The cloud storage computing node 3 is used for storing, analyzing and displaying data of each node, and providing functions of online patrol, centralized monitoring, intelligent linkage control, disaster deduction analysis and the like. In addition, the system is also responsible for providing application service release of related digital twin sunlight greenhouse platforms.
Generally, a public cloud server is recommended to be used for providing related services, for example, a park has confidentiality requirements or technical financial resources, and a private cloud environment can be built by the user for carrying out external storage computing services.
4. Digital twinning sunlight greenhouse platform
The digital twinning sunlight greenhouse platform 4 is a key technology of the invention, and a set of comprehensive data statistical analysis display platform is constructed based on a cloud edge-end cooperation technology.
On the platform, the sensor end data acquired by each monitoring control edge node 1 is stored at the edge end and the cloud end, so that the high availability of the platform is ensured, and the platform fault caused by single-point fault is avoided. Secondly, the time, space and element statistical analysis and visual display can be carried out on the intelligent nodes at the cloud end, and the real-time changes of the sunlight greenhouse, the crops and the elements can be visually displayed. And finally, constructing a data cube of space, time and monitoring elements of crop, sunlight greenhouse and planting management on the basis of the collected data continuously collected by the platform. By the aid of the data cube, analysis such as coiling, drilling, slicing and rotating can be performed, and a digital foundation is laid for subsequent accurate service and modeling analysis.
Namely, the method comprises the following steps: and constructing a digital greenhouse, and performing real-time digital acquisition, storage and visual display on the greenhouse, crops and planting processes. Data is sourced from the intelligent monitoring nodes.
The control linkage platform is used for issuing a control instruction through the platform cloud node, and can also be used for automatically linkage controlling equipment in the greenhouse to execute an early warning scheme through the monitoring control node 1 and carrying out tracking feedback on the digital twin platform.
Cloud side end integration is cooperative, and data are transmitted and stored at the edge and the cloud side, so that single-point faults are avoided. After the cloud is subjected to calculation and analysis, the greenhouse is remotely controlled and maintained by the cloud-linked edge monitoring control node 1.
The method comprises the steps of establishing a data cube environment at the cloud, applying, constructing data cubes of various dimensions of time, space, elements and the like for crop, greenhouse and planting management, and laying a foundation for the follow-up intelligent linkage and control of the digital twin sunlight greenhouse through modeling and analysis.
The structure specifically comprises the following structures:
the edge node data acquisition module: greenhouse, crop and planting process data are acquired through monitoring and controlling edge nodes, and collected to a cloud end through networking transmission nodes.
Greenhouse body storehouse: and storing the greenhouse body related monitoring data acquired by the monitoring control edge node.
A crop bank: and storing the crop related monitoring data acquired by the monitoring control edge node.
A planting management library: and storing the planting management related monitoring data collected by the monitoring control edge node.
Greenhouse data warehouse (data cube): a data warehouse (data cube) of space, time and elements is constructed on the basis of a greenhouse, crop and planting management database after data cleaning, extraction and conversion.
And the expert/knowledge base stores an expert theoretical empirical model and knowledge generated and verified by the analysis module.
Algorithm/model library: the data analysis algorithm and the model generated and validated by the analysis module are stored.
A data analysis module: and the background is a module specially used for data analysis and operation and used for analyzing the data acquired by the edge node data acquisition module.
Rules/protocols library: and analyzing and outputting linkage rules, early warning plans and the like through data. And a reference is provided for automatic execution of the plan and control instruction sending.
A plan automatic execution module: and extracting the rules from the rule base, and automatically executing the response plan by judging the rules.
A control instruction sending module: and the device linkage module is linked to provide a control execution instruction input interface and a related feedback function.
An external database: and a database for storing external weather forecast data, market analysis data and surrounding environment data. External data may be periodically updated for import.
A disaster deduction module: combining the rules and plans generated by internal data analysis and external data, carrying out greenhouse (park) disaster deduction, and outputting disaster response plans to a rule/plan library.
An equipment linkage module: provides the function of linkage with the greenhouse equipment.
An equipment library: a database storing real-time greenhouse equipment status. Extraction can be performed from greenhouse ontology libraries.
A platform database: storing data and information such as users, authorities, system configuration and the like of the platform.
And the user/authority control module provides user-related access control and authority control. And carrying out safety control functions related to user and system access authentication.
A data query module: and a query entrance for data query and browsing of authenticated users, and automatic response and rule input functions of the plan is provided.
The data visualization report display module: and based on the user data query, the functions of report generation and visual display are provided. And provides visual automatic response of the plan and rule display.
And a data twin sunlight greenhouse platform is constructed to provide a comprehensive platform for real-time query, analysis, display and sharing of data for planting users, and online patrol, control, linkage and intelligent drilling of facility equipment. Can be presented in various forms according to the development scale of the facility farmers. For example, if facility farmers are dominated by simple sunlight greenhouses and specific crops, where cost expectations are low, then services may be provided simply in the form of applets and apps. For users in the rapid development scale expansion stage or the modernized plantation level, the cost investment is large, and a system platform or a visual large-screen platform at a web end is constructed for display control.
5. Visual control terminal node
The terminal node is used for planting the terminal node accessed by the user. It can be large screen, middle screen or small screen.
Large screen: the high-integration visual monitoring data large-screen display is provided, and the display and the demonstration deduction of the control process are provided in a centralized manner.
Middle screen: and the computer web end provides a detailed operating environment for data and functions.
Small screen: the mobile device such as a mobile phone or a pad provides data display and operation in a specific area and uploading.
6. Other auxiliary expanding devices
Other auxiliary expansion modules or devices can be flexibly customized according to specific scenes and are incorporated into the digital twin device. If auxiliary devices are added, such as self explosion-proof, waterproof and anti-theft devices; or other modules which are expanded and customized and are suitable for planting users at the garden level or meeting special requirements. Like garden intelligent recognition entrance guard module, boundary security protection node, the device is shouted to the pronunciation, and unmanned aerial vehicle patrols and examines the node, and intelligent robot patrols and examines node etc..
The foregoing description of the invention is illustrative and not restrictive, and it will be understood by those skilled in the art that many changes, variations or equivalents may be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (7)
1. A digital twin construction system for precise monitoring of a sunlight greenhouse is characterized by comprising the following components in sequence:
the intelligent monitoring control edge node is used for carrying out three-dimensional stationing observation and linkage control in the sunlight greenhouse;
the intelligent networking transmission node is used for networking the intelligent monitoring control edge node and transmitting data;
the cloud storage computing node is used for storing, analyzing and displaying data from the intelligent monitoring control edge node and the intelligent networking transmission node;
the digital twinning sunlight greenhouse platform is used for inquiring, analyzing, displaying and sharing data from the intelligent monitoring control edge node, the intelligent networking transmission node and the cloud storage computing node in real time; and
and the visual control terminal node is in communication connection with the digital twin sunlight greenhouse platform and is connected with the intelligent networking transmission node through an expansion module node.
2. The digital twin construction system for precise sunlight greenhouse monitoring as claimed in claim 1, wherein the intelligent monitoring and controlling edge node comprises a core computing unit, and a monitoring sensor module, a control linkage module, a networking communication network module, a power supply module and a storage module which are respectively connected with the core computing unit, so as to perform three-dimensional distribution observation and linkage control in a sunlight greenhouse.
3. The digital twin construction system for precise sunlight greenhouse monitoring as claimed in claim 2, wherein the monitoring sensor module is used to realize monitoring observation and data collection of environmental elements, including an air temperature and humidity monitoring module, a light intensity monitoring module, a soil monitoring module, a crop monitoring module and/or an image collection module.
4. The digital twin construction system for precise monitoring of a sunlight greenhouse of claim 2, wherein the control linkage module is used for providing linkage control function for devices in the sunlight greenhouse and comprises a wireless radio frequency module, an infrared control module, a heating and ventilation module, a shading and light supplementing module, an insect repelling and spraying module, an irrigation module and/or a monitoring and displaying module.
5. The digital twin construction system for precise sunlight greenhouse monitoring of claim 2, wherein the networking communication network module is used for network data transmission and comprises a Lora, 4G-LTE, WIFI, NB-IoT and/or ZigBee networking transmission protocol module.
6. The digital twin construction system for precision monitoring of sunlight greenhouses according to claim 1, wherein said intelligent networking transmission node comprises a gateway device, a transmitter and an antenna.
7. The digital twin construction system for precision monitoring of sunlight greenhouses according to claim 1, wherein the digital twin sunlight greenhouse platform comprises:
the edge node data acquisition module acquires greenhouse, crop, planting process and equipment running state data through the intelligent monitoring control edge node, and collects the data to a cloud end through the intelligent networking transmission node;
the intelligent monitoring control edge node comprises a greenhouse body library, a crop library, a planting management library and an equipment library, wherein the greenhouse body library, the crop library, the planting management library and the equipment library respectively store monitoring data which are acquired by the intelligent monitoring control edge node and are related to a greenhouse body, crops, planting management and greenhouse equipment;
the system comprises an expert and knowledge base, an algorithm and model base and a rule and plan base, wherein the expert and knowledge base stores an expert theoretical empirical model and knowledge generated and verified by an analysis module, the algorithm and model base stores a data analysis algorithm and a model generated and verified by the analysis module, and the rule and plan base stores linkage rules and early warning plans;
the greenhouse data warehouse is used for constructing a data warehouse of space, time and elements after data cleaning, extraction and conversion based on data stored in the greenhouse ontology library, the crop library and the planting management library;
the data analysis module is used for analyzing the data acquired by the edge node data acquisition module;
the automatic plan execution module extracts the rules from the rules and the plan library and automatically executes the response plan by judging the rules;
the equipment linkage module is respectively connected with the equipment library and the control instruction sending module so as to enable the equipment linkage module of the intelligent monitoring control edge node to carry out relevant equipment linkage of the equipment library;
the control instruction sending module is in communication connection with the equipment linkage module and provides a control execution instruction input interface and a related feedback function;
the external database is used for storing external weather forecast data, market analysis data and surrounding environment data;
and the disaster deduction module is connected with the external database and the rule and plan library, performs disaster deduction analysis of the greenhouse by combining rules, plans and external data generated by internal data analysis, and outputs disaster response plans to the rule and plan library.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110523844.4A CN113191914A (en) | 2021-05-13 | 2021-05-13 | Digital twin body construction system for precise monitoring of sunlight greenhouse |
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| CN113796228A (en) * | 2021-09-26 | 2021-12-17 | 南京邮电大学 | Plant cultivation system and method based on digital twinning |
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| CN115860684A (en) * | 2022-12-23 | 2023-03-28 | 上海裕隆医学检验所股份有限公司 | Management system based on digital twins |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113849022A (en) * | 2021-09-23 | 2021-12-28 | 上海孪数科技有限公司 | Photovoltaic greenhouse environment management system based on digital twinning and spatial calculation |
| CN113796228A (en) * | 2021-09-26 | 2021-12-17 | 南京邮电大学 | Plant cultivation system and method based on digital twinning |
| CN113796228B (en) * | 2021-09-26 | 2022-08-23 | 南京邮电大学 | Plant cultivation system and method based on digital twinning |
| CN114253326A (en) * | 2021-12-22 | 2022-03-29 | 华中科技大学 | Intelligent household potting nursing system under digital twin technical framework |
| CN115860684A (en) * | 2022-12-23 | 2023-03-28 | 上海裕隆医学检验所股份有限公司 | Management system based on digital twins |
| CN115860684B (en) * | 2022-12-23 | 2023-08-15 | 上海裕隆医学检验所股份有限公司 | Management system based on digital twinning |
| 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 |
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