1. The utility model provides a wisdom gardens integrated service management platform which characterized in that: the system comprises a user application platform, a cloud service platform and a function module layer;

the functional module layer is including pest and disease identification unit, gardens soil environment monitoring unit, the automatic unit of sprinkling irrigation of gardens, digital gardens management and control unit and wisdom gardens tracking unit.

2. The intelligent integrated services for gardens management platform according to claim 1, wherein: the user application platform is a mobile phone APP and a PC end, and the user application platform is used for checking garden detection data and controlling the operation of the intelligent garden system.

3. The intelligent integrated services for gardens management platform according to claim 1, wherein: the digital garden management and control unit comprises a garden information management module, a portal system, an intelligent management module, a garden big data supervision platform, a report analysis module and a system management module.

4. The intelligent integrated services for gardens management platform according to claim 3, wherein: the garden information management module adopts a GIS technology to draw garden functional area division, distribution, monitoring point positions and a management working area on a garden map, and clicks the functional area of the map division to realize linkage management of garden area names, brief introduction, contact persons and contact ways, related plants and parameters and certificate information; the portal system displays the macro information of the whole garden management area through a website and a mobile phone APP, and can detect and check the real-time states of various plants on line; the intelligent management system is used for performing comprehensive intelligent management on daily management work of the garden; the garden big data supervision platform is used for collecting garden data and supervising the whole planting production process; the report analysis module is used for statistical analysis of reports at all stages of the whole growth process of the garden plants and derivation of statistical report data; the system management module is used for adding and modifying user information by an administrator, checking a user information list and carrying out password initialization on a newly added user.

5. The intelligent integrated services for gardens management platform according to claim 4, wherein: the intelligent management system comprises intelligent planting management, investment management, quality detection management and asset management;

the intelligent planting management comprises plant information management and farming management, wherein the plant information management is used for establishing a plant information base by using plant seedling and seed information, species information and planting time basic information, so that the base management is facilitated, and an effective basis can be provided for plant variety improvement and technical support; the farm work management is used for managing farm works in gardens, and comprises weeding, spraying, fertilizing and irrigating, a manager is helped to manage the plant growth process and generate farm work production files by recording the plant farm work production process, distributing farm work tasks and issuing a planting production plan, and the worker can interact with other co-workers on line in a platform to know agricultural policies, inquire agricultural knowledge and exchange planting and breeding experiences in time and help gardens to achieve the aims of scientific management, easy planting and yield increase;

the input management is used for recording the input and use of the gardens in pesticides, fertilizers, seedlings and equipment, providing comprehensive records and intelligent query, providing data for financial affairs and plant quality control and leadership decision management, meanwhile, a data base is provided for plant traceability in the later period, the use condition of the biological pesticide is recorded during pesticide management, including time, medicament and dosage information, the fertilizer using condition including time, type and dosage is recorded during the fertilizer management, the basic information and growth condition of plant seedlings including type, planting time, transplanting time, plant age and plant characteristics are recorded during the seedling management, the equipment management records the use condition of the equipment in the garden planting production process, including the use time and use parameters of the weeding robot, the plant protection unmanned aerial vehicle and the anion generator equipment, and provides a basis for future analysis and diagnosis of agricultural experts;

the quality detection management is used for managing a detection report and synchronizing a product tracing subsystem, the detection report comprises an enterprise self-inspection report and a detection report issued by a third party, a quality monitoring result is synchronized into product tracing information, and the planting and processing process information of the plant is inquired;

the asset management is used for registering and warehousing plants, and when warehousing, the information of the types, the quantity, the warehousing time, warehousing personnel and the validity period of the plants needs to be filled and reported, and an electronic report can be exported by one key.

6. The intelligent integrated services for gardens management platform according to claim 4, wherein: the garden big data supervision platform comprises a garden graph, data analysis, remote sensing monitoring and intelligent production supervision;

the garden map is constructed by combing and integrating various spatial data resources related to gardens by adopting a GIS technology, and is used for displaying garden geographic information data and industrial distribution and Internet of things equipment monitoring sites, so that the electronization of the drawing and the sequential viewing of element map layers of garden monitoring sites and distribution areas are realized;

the data analysis comprises growth analysis and prediction analysis, wherein the growth analysis establishes a planting model according to the growth stage and growth indexes of plants, a scientific planting model template is selected from a template library for planting, the prediction analysis is based on big data and artificial intelligence technology, data processing, algorithm operation and result conversion operation are carried out on garden data accumulated by planting production, results are stored as image-text reports to form a graph file set, and the graph files are displayed in a visual mode and are pushed to a mobile phone APP;

the remote sensing monitoring is used for visually displaying results of remote sensing data acquired by aerial survey of a satellite or an unmanned aerial vehicle after analysis processing, and the contents of the remote sensing monitoring comprise soil moisture content, growth vigor of plants, disasters, maturity and yield estimation;

the intelligent production supervision comprises the supervision of an internet of things system and the supervision of production information, the supervision of the internet of things system collects, summarizes, cleans and analyzes mass data through a big data technology and displays the mass data in various forms of charts and characters, the supervision data of the production information comes from a garden planting information base and displays plant production information in the form of charts, and irregular behaviors of enterprises are found in time.

7. The intelligent integrated services for gardens management platform according to claim 1, wherein: plant diseases and insect pests identification unit is including pest situation information automatic acquisition analytic system and long-range microclimate information acquisition system, pest situation information automatic acquisition analytic system utilizes intelligent camera to gather pest information on the plant, obtains pest data after the analysis and processing and uploads user's cell-phone APP, and the user can unite crop management knowledge, crop picture storehouse, calamity index through webpage, cell-phone and to plant real-time remote monitoring and diagnosis, long-range microclimate information acquisition system is used for agriculture and forestry meteorological information's image and data acquisition.

8. The intelligent integrated services for gardens management platform according to claim 6, wherein: the garden soil environment monitoring unit comprises an early warning module, a soil moisture content monitoring module, a meteorological environment monitoring module and a control module;

the early warning module comprises an overproof alarm, a trend alarm and a fault alarm;

the soil moisture content monitoring is used for detecting soil temperature, humidity, pH value, ion content, moisture and salinity information, and provides multi-time-point and multi-azimuth monitoring data for water and fertilizer integrated irrigation;

the meteorological environment monitoring is connected to an automatic meteorological station, the wind speed, the wind direction, the air temperature, the carbon dioxide concentration, the air humidity, the rainfall and the illumination intensity are monitored, and meanwhile, the real-time linkage query of monitoring point positions and monitoring data is provided by combining the visual display of a garden map;

the control module adopts an IOT programming technology to realize remote control of the Internet of things equipment.

9. The intelligent integrated services for gardens management platform according to claim 1, wherein: the automatic garden sprinkling unit comprises a water consumption control module, an operation state real-time monitoring module and a valve control module;

the water consumption control module realizes water consumption metering of each irrigation point through an integrated irrigation system interface, is used for metering the total water consumption in the region through outlet flow monitoring, calculates the wheel irrigation water consumption of each branch pipe in real time through data collected by each branch pipe pressure sensor, and is combined with the automatic valve control module to realize water consumption statistics of each valve control unit;

the running state real-time monitoring module can timely find unreasonable irrigation events of pipe burst, water leakage and low-pressure running of the drip irrigation system through current and voltage monitoring of the water pump, pressure and flow monitoring of the water outlet and flow monitoring of the pipe network branch main pipe;

the valve control module can realize the remote control opening and closing of the valve and the timing rotation irrigation opening and closing according to the comprehensive analysis of soil moisture content information, climate information and irrigation information.

10. The intelligent integrated services for gardens management platform according to claim 1, wherein: the intelligent garden tracing unit comprises a quality safety tracing management module, a product file module and an object-to-code module;

the quality safety tracing management module comprises prenatal management, prenatal supervision, postpartum tracing, production early warning, statistical analysis, two-dimensional code printing, quality tracing of a consumer end and quality feedback;

the product archive module comprises product indexes, a source tracing archive and product authentication;

the one-object-one-code module utilizes advanced Internet of things technology and tools to endow each plant with an identity, planting and management of each plant can be tracked by scanning the identity on each plant, and full life cycle management of the plants is achieved.

Background

Along with the development and construction of cities, the influence of landscaping construction on urban landscapes is more and more important and occupies nearly one third of urban land. Road greening, park square, river course greenbelt, house district afforestation, the development level in the city is reflected to different degrees, and urban afforestation median and greenbelt, green way not only form the strong green volume, have further perfected the city green space system. Greening is the only active means for improving urban ecology, and the positioning of greening is from simple beautification to five major aspects of urban ecology, rest, landscape, culture and disaster reduction and risk avoidance. The development of urban landscaping relates to the development of urban ecological civilization construction, the intelligent process of urban landscaping and the process of urban ecological plaintext construction.

In recent years, with the rapid development of the urbanization process, the number, the area and the density of various greenbelts in a city are continuously increased, the complexity of urban landscaping is increased, the traditional management mode is adopted, the information of various greenbelts in the city is difficult to accurately count, the spatial information cannot be oriented to the society, the information service and the fine management are realized, and the accurate decision basis for planning and developing the urban landscaping is difficult to provide for various relevant departments of the government, so the requirements on the realization of the informationization and the intelligent management of the landscaping are particularly urgent.

Disclosure of Invention

In order to overcome the above defects in the prior art, an embodiment of the present invention provides an intelligent comprehensive garden service management platform, and the technical problems to be solved by the present invention are: how to improve the intelligent degree of garden management, high-efficient, standard, scientific to garden management.

In order to achieve the purpose, the invention provides the following technical scheme: a smart garden comprehensive service management platform comprises a user application platform, a cloud service platform and a function module layer;

the functional module layer is including pest and disease identification unit, gardens soil environment monitoring unit, the automatic unit of sprinkling irrigation of gardens, digital gardens management and control unit and wisdom gardens tracking unit.

In a preferred embodiment, the user application platform is a mobile phone APP and a PC, and the user application platform is used for viewing garden detection data and controlling the operation of the intelligent garden system.

In a preferred embodiment, the digital garden management and control unit comprises a garden information management module, a portal system, an intelligent management module, a garden big data supervision platform, a report analysis module and a system management module.

In a preferred embodiment, the garden information management module adopts a GIS technology to draw garden functional area division, distribution, monitoring point locations and management work areas on a garden map, and click on the map division functional areas to realize linkage management of garden area names, introduction, contact persons and contact ways, related plants and parameters and certificate information;

the portal system displays the macro information of the whole garden management area through a website and a mobile phone APP, and can detect and check the real-time states of various plants on line; the intelligent management system is used for performing comprehensive intelligent management on daily management work of gardens; the garden big data supervision platform is used for collecting garden data and supervising the whole planting production process; the report analysis module is used for statistical analysis of reports at all stages in the whole growth process of the garden plants and derivation of statistical report data; the system management module is used for adding and modifying user information by an administrator, checking a user information list and carrying out password initialization on a newly added user.

In a preferred embodiment, the intelligent management system comprises intelligent planting management, input product management, quality detection management and asset management;

the intelligent planting management comprises plant information management and farming management, wherein the plant information management is used for establishing a plant information base by using plant seedling and seed information, species information and planting time basic information, so that the base management is facilitated, and an effective basis can be provided for plant variety improvement and technical support; simultaneously associating garden archive module data; the farm work management is used for managing farm works in gardens, and comprises weeding, spraying, fertilizing and irrigating, a manager is helped to manage the plant growth process and generate farm work production files by recording the plant farm work production process, distributing farm work tasks and issuing planting production plans, and the staff can interact with other co-workers on line in a platform to know agricultural policies in time, inquire agricultural knowledge and exchange planting and breeding experiences and help gardens to achieve the aims of scientific management, easy planting and yield increase;

the input management is used for recording the input and use of the gardens in pesticides, fertilizers, seedlings and equipment, providing comprehensive records and intelligent query, providing data for financial affairs and plant quality control and leadership decision management, meanwhile, a data base is provided for plant traceability in the later period, the use condition of the biological pesticide is recorded during pesticide management, including time, medicament and dosage information, the fertilizer using condition including time, type and dosage is recorded during the fertilizer management, the basic information and growth condition of plant seedlings including type, planting time, transplanting time, plant age and plant characteristics are recorded during the seedling management, recording the use condition of equipment in the garden planting production process during equipment management, wherein the use condition comprises the use time and use parameters of a weeding robot, a plant protection unmanned aerial vehicle and negative ion generator equipment, and providing a basis for future agricultural expert analysis and diagnosis;

the quality detection management is used for managing detection reports and synchronizing the product tracing subsystem, the detection reports comprise enterprise self-inspection reports and detection reports issued by a third party, quality monitoring results are synchronized into product tracing information, and the planting and processing process information of the plants is inquired;

the asset management is used for registering and warehousing plants, and when warehousing, the information of the types, the quantity, the warehousing time, warehousing personnel and the validity period of the plants needs to be filled and reported, and an electronic report can be exported by one key.

In a preferred embodiment, the garden big data supervision platform comprises a garden map, data analysis, remote sensing monitoring and intelligent production supervision;

the garden map is constructed by combing and integrating various spatial data resources related to gardens by adopting a GIS technology, and is used for displaying garden geographic information data and industrial distribution and Internet of things equipment monitoring sites, so that electronization of drawings and sequential viewing of garden monitoring points and distribution area element map layers are realized;

the data analysis comprises growth analysis and prediction analysis, wherein the growth analysis establishes a planting model according to the growth stage and growth indexes of plants, a scientific planting model template is selected from a template library for planting, the prediction analysis is based on big data and artificial intelligence technology, data processing, algorithm operation and result conversion operation are carried out on garden data accumulated by planting production, results are stored as image-text reports to form a chart file set, and the chart file is displayed in a visual mode and simultaneously pushed to a mobile phone APP;

the remote sensing monitoring is used for visually displaying the result of analysis processing of remote sensing data acquired by aerial survey of a satellite or an unmanned aerial vehicle, and the content of the remote sensing monitoring comprises soil moisture content, growth vigor of plants, disasters, maturity and yield estimation;

the intelligent production supervision comprises the supervision of an internet of things system and the supervision of production information, the supervision of the internet of things system collects, summarizes, cleans and analyzes mass data through a big data technology, the mass data are displayed in various forms of charts and characters, the production information supervision data come from a garden planting information base, the plant production information is displayed in the form of charts, and the non-compliant and non-standard behaviors of enterprises are found in time.

In a preferred embodiment, the pest and disease damage identification unit comprises an automatic pest situation information acquisition and analysis system and a remote microclimate information acquisition system, the automatic pest situation information acquisition and analysis system utilizes an intelligent camera to acquire pest information on plants, pest data obtained after analysis and processing are uploaded to a user mobile phone APP, the user can combine crop management knowledge, a crop map library and disaster indexes to remotely monitor and diagnose the plants in real time through a webpage and a mobile phone, and the remote microclimate information acquisition system is used for acquiring images and data of agriculture and forestry meteorological information.

In a preferred embodiment, the garden soil environment monitoring unit comprises an early warning and alarming module, a soil moisture content monitoring module, a meteorological environment monitoring and controlling module;

the early warning module comprises an overproof alarm, a trend alarm and a fault alarm;

the soil moisture content monitoring is used for detecting information of soil temperature, humidity, pH value, ion content, moisture and salinity, and provides multi-time-point and multi-azimuth monitoring data for water and fertilizer integrated irrigation;

the meteorological environment monitoring is connected to an automatic meteorological station, the wind speed, the wind direction, the air temperature, the carbon dioxide concentration, the air humidity, the rainfall and the illumination intensity are monitored, and meanwhile, the real-time linkage query of monitoring point positions and monitoring data is provided by combining the visual display of one garden picture;

the control module adopts an IOT programming technology to realize remote control of the Internet of things equipment.

In a preferred embodiment, the garden automation sprinkling irrigation unit comprises a water consumption control module, an operation state real-time monitoring module and a valve control module;

the water consumption control module realizes water consumption metering of each irrigation point through an integrated irrigation system interface, is used for metering the total water consumption in the region through outlet flow monitoring, calculates the wheel irrigation water consumption of each branch pipe in real time through data collected by each branch pipe pressure sensor, and is combined with the automatic valve control module to realize water consumption statistics of each valve control unit;

the running state real-time monitoring module can timely find unreasonable irrigation events of pipe burst, water leakage and low-pressure running of the drip irrigation system through current and voltage monitoring of the water pump, pressure and flow monitoring of the water outlet and flow monitoring of the pipe network branch main pipe;

the valve control module can realize the remote control opening and closing of the valve and the timing rotation irrigation opening and closing according to the comprehensive analysis of soil moisture content information, climate information and irrigation information.

In a preferred embodiment, the intelligent garden tracing unit comprises a quality safety tracing management module, a product archive module and an object-code module;

the quality safety tracing management module comprises prenatal management, prenatal supervision, postpartum tracing, production early warning, statistical analysis, two-dimensional code printing, quality tracing of a consumer end and quality feedback;

the product archive module comprises product indexes, a source tracing archive and product authentication;

the one-object-one-code module gives the identity to each plant by using advanced Internet of things technology and tools, and can trace the planting and management of each plant by scanning the identity on each plant, so that the full life cycle management of the plants is realized.

Compared with the prior art, the invention has the technical effects and advantages that:

1. the garden management system is garden management software which takes a planting base as an applicable object, meets the daily production and management requirements of gardens, associates people, matters and objects in the planting and management processes in the system to form electronic records, interconnects and intercommunicates information of different production departments, aims at the quality and safety problems of plants, prevents and controls sources, and helps to realize informatization, transparent management, intelligent production and scientific decision making.

2. The invention utilizes various sensors such as temperature, humidity, illumination, carbon dioxide gas and the like to carry out whole-process monitoring and data management on the growth process of plants, and detects and senses whether organic chemical synthesized fertilizers, pesticides, growth regulators and other substances are added in the production process through the sensors and soil components; the RFID electronic tags and the two-dimensional codes are combined to effectively and identifiably store and manage real-time data of information such as sources, grades and cultivation sites of each batch of plant seedlings and specific implementation personnel in the processes of cultivation, planting, quality inspection, transportation and the like, and the system takes the Internet of things platform technology as a carrier, so that the quality and the safety standard of plants are improved.

Drawings

Fig. 1 is a schematic diagram of the overall system structure of the present invention.

Fig. 2 is a schematic structural diagram of the functional module layer according to 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.

As shown in fig. 1-2, a smart garden integrated service management platform includes a user application platform, a cloud service platform and a function module layer;

the functional module layer is including pest and disease identification unit, gardens soil environment monitoring unit, the automatic unit of sprinkling irrigation of gardens, digital gardens management and control unit and wisdom gardens tracking unit.

In a preferred embodiment, the user application platform is a mobile phone APP and a PC, and the user application platform is used for viewing garden detection data and controlling the operation of the intelligent garden system.

In a preferred embodiment, the digital garden management and control unit comprises a garden information management module, a portal system, an intelligent management module, a garden big data supervision platform, a report analysis module and a system management module.

In a preferred embodiment, the garden information management module adopts a GIS technology to draw garden functional area division, distribution, monitoring point locations and management work areas on a garden map, and click on the map division functional areas to realize linkage management of garden area names, introduction, contact persons and contact ways, related plants and parameters and certificate information;

the portal system displays the macro information of the whole garden management area through a website and a mobile phone APP, and can detect and check the real-time states of various plants on line; the intelligent management system is used for performing comprehensive intelligent management on daily management work of gardens; the garden big data supervision platform is used for collecting garden data and supervising the whole planting production process; the report analysis module is used for statistical analysis of reports at all stages in the whole growth process of the garden plants and derivation of statistical report data; the system management module is used for adding and modifying user information by an administrator, checking a user information list and carrying out password initialization on a newly added user;

the system management comprises user management, role management, authority management, department management, log management and APP version management, wherein the user management realizes addition and modification of user information by an administrator, checks a user information list, carries out password initialization on newly-added users, the role management is used for distributing system menus and authorities for the users and realizes authority classification management, the authority management can form a strong authority management system based on mutual combination of role management users, roles, modules and authorities, the authority of the users is controlled by the roles, one user can own a single role, the foreground menu display of the users with a plurality of modules (authorities) by one role is determined according to the modules owned by the role so as to control different authorities of different users in the system, and the APP version management manages the system version of a mobile law enforcement terminal, when a new version is uploaded, the mobile law enforcement terminal can automatically prompt that the new version needs to be updated immediately, log management is to record information of hardware, software and system problems in the system, and simultaneously can monitor events in the system, and can check the reason of errors or find traces left by an attacker when the system is attacked, wherein the system logs comprise system logs, application program logs and safety logs.

In a preferred embodiment, the intelligent management system comprises intelligent planting management, input product management, quality detection management and asset management;

the intelligent planting management comprises plant information management and farming management, wherein the plant information management is used for establishing a plant information base by using plant seedling and seed information, species information and planting time basic information, so that the base management is facilitated, an effective basis can be provided for plant variety improvement and technical support, and meanwhile, garden file module data is correlated; the farm work management is used for managing farm works in gardens, and comprises weeding, spraying, fertilizing and irrigating, a manager is helped to manage the plant growth process and generate farm work production files by recording the plant farm work production process, distributing farm work tasks and issuing planting production plans, and the staff can interact with other co-workers on line in a platform to know agricultural policies in time, inquire agricultural knowledge and exchange planting and breeding experiences and help gardens to achieve the aims of scientific management, easy planting and yield increase;

the input management is used for recording the input and use of the gardens in pesticides, fertilizers, seedlings and equipment, providing comprehensive records and intelligent query, providing data for financial affairs and plant quality control and leadership decision management, meanwhile, a data base is provided for plant traceability in the later period, the use condition of the biological pesticide is recorded during pesticide management, including time, medicament and dosage information, the fertilizer using condition including time, type and dosage is recorded during the fertilizer management, the basic information and growth condition of plant seedlings including type, planting time, transplanting time, plant age and plant characteristics are recorded during the seedling management, recording the use condition of equipment in the garden planting production process during equipment management, wherein the use condition comprises the use time and use parameters of a weeding robot, a plant protection unmanned aerial vehicle and negative ion generator equipment, and providing a basis for future agricultural expert analysis and diagnosis;

the quality detection management is used for managing detection reports and synchronizing the product tracing subsystem, the detection reports comprise enterprise self-inspection reports and detection reports issued by a third party, quality monitoring results are synchronized into product tracing information, and the planting and processing process information of the plants is inquired;

the asset management is used for registering and warehousing plants, the types, the number, the warehousing time, warehousing personnel and the valid period information of the plants need to be filled and reported when the plants are warehoused, and an electronic report can be exported in one key, for example, a monitoring report is issued according to monitoring data, fertilizer water use report data is issued according to water and fertilizer irrigation data, and the like.

In a preferred embodiment, the garden big data supervision platform comprises a garden map, data analysis, remote sensing monitoring and intelligent production supervision;

the garden map adopts a GIS technology, various spatial data resources related to gardens are sorted and integrated, the garden map is constructed and used for displaying garden geographic information data and industrial distribution and Internet of things equipment monitoring sites, the electronization of the drawing and the sequential viewing of the garden monitoring sites and distribution area element map layers are realized, and the integrated planning management and auxiliary decision service of the map, the text and the file is provided for garden management;

the data analysis comprises growth analysis and prediction analysis, wherein the growth analysis establishes a planting model according to the growth stage and growth indexes of plants, a scientific planting model template is selected from a template library for planting, the prediction analysis is based on big data and artificial intelligence technology, data processing, algorithm operation and result conversion operation are carried out on garden data accumulated by planting production, results are stored as image-text reports to form a chart file set, and the chart file is displayed in a visual mode and simultaneously pushed to a mobile phone APP;

the remote sensing monitoring is used for visually displaying the result of analysis processing of remote sensing data acquired by aerial survey of a satellite or an unmanned aerial vehicle, and the content of the remote sensing monitoring comprises soil moisture content, growth vigor of plants, disasters, maturity and yield estimation;

the intelligent production supervision comprises the supervision of an internet of things system and the supervision of production information, the supervision of the internet of things system collects, summarizes, cleans and analyzes mass data through a big data technology, the mass data are displayed in various forms of charts and characters, the production information supervision data come from a garden planting information base, the plant production information is displayed in the form of charts, and the non-compliant and non-standard behaviors of enterprises are found in time.

In a preferred embodiment, the pest and disease damage identification unit comprises an automatic pest situation information acquisition and analysis system and a remote microclimate information acquisition system, the automatic pest situation information acquisition and analysis system utilizes an intelligent camera to acquire pest information on plants, pest data obtained after analysis and processing are uploaded to a user mobile phone APP, the user can combine crop management knowledge, a crop map library and disaster indexes to remotely monitor and diagnose the plants in real time through a webpage and a mobile phone, and the remote microclimate information acquisition system is used for acquiring images and data of agriculture and forestry meteorological information.

In a preferred embodiment, the garden soil environment monitoring unit comprises an early warning and alarming module, a soil moisture content monitoring module, a meteorological environment monitoring and controlling module;

the early warning module comprises an overproof alarm, a trend alarm and a fault alarm; the over-standard early warning means that automatic monitoring data of a soil moisture content monitoring subsystem, a meteorological environment detection subsystem and a greenhouse environment monitoring and automatic control subsystem are analyzed in real time, when the monitoring data exceed a set over-standard threshold, the alarm is generated, and over-standard parameter alarm information is sent; the trend early warning is that based on an artificial intelligence technology, a prediction algorithm model is utilized, monitoring values in a period of time are predicted by analyzing monitoring historical data, if a predicted value exceeds an overproof threshold value, automatic early warning is carried out, and by utilizing the prediction function, problems can be found early, a response can be made in advance, and bad results caused after actual occurrence can be avoided; the fault alarm means that when a sensor of the acquisition terminal is in fault or is not on line and the like, the system automatically sends a fault alarm signal; after warning alarm module sent alarm signal, alarm information and position can highlight on the map to equipment information and alarm information propelling movement to terminal APP, in order to remind supervisory personnel, take relevant solution measures, report to the police simultaneously the back, can send relevant information to supervisory personnel's cell-phone through the mode of SMS, even supervisory personnel also can know each monitoring condition outward.

The soil moisture monitoring device is used for detecting soil temperature, humidity, pH value, ion content and salinity information and providing multi-time-point and multi-azimuth monitoring data for water and fertilizer integrated irrigation, and comprises a soil temperature sensor, a soil humidity sensor, a soil pH detector, a soil nitrogen phosphorus potassium sensor, a soil salinity sensor and the like;

the meteorological environment monitoring device is connected to an automatic meteorological station, monitors wind speed, wind direction, air temperature, carbon dioxide concentration, air humidity, rainfall and illumination intensity, provides real-time linkage query of monitoring point positions and monitoring data by combining visual display of a garden map, and comprises a wind speed sensor, a wind direction sensor, an atmospheric temperature sensor, an atmospheric humidity sensor, a carbon dioxide concentration sensor, a rainfall sensor, an illumination intensity sensor and the like;

the control module adopts an IOT programming technology to realize remote control of the Internet of things equipment.

In a preferred embodiment, the garden automation sprinkling irrigation unit comprises a water consumption control module, an operation state real-time monitoring module and a valve control module;

the water consumption control module realizes water consumption metering of each irrigation point through an integrated irrigation system interface, is used for metering the total water consumption in the region through outlet flow monitoring, calculates the wheel irrigation water consumption of each branch pipe in real time through data collected by each branch pipe pressure sensor, and is combined with the automatic valve control module to realize water consumption statistics of each valve control unit;

the running state real-time monitoring module can timely find unreasonable irrigation events of pipe burst, water leakage and low-pressure running of the drip irrigation system through current and voltage monitoring of the water pump, pressure and flow monitoring of the water outlet and flow monitoring of the pipe network branch main pipe;

the valve control module can realize the remote control opening and closing of the valve and the timing rotation irrigation opening and closing according to the comprehensive analysis of soil moisture content information, climate information and irrigation information.

In a preferred embodiment, the intelligent garden tracing unit comprises a quality safety tracing management module, a product archive module and an object-code module;

the quality safety tracing management module comprises prenatal management, prenatal supervision, postpartum tracing, production early warning, statistical analysis, two-dimensional code printing, quality tracing and quality feedback of a consumer end, and runs through the whole production, management, detection and other links of plants, production archive electronic management is used for producer safety production service, the tracing service is provided for consumers through the information of pesticide residue detection and circulation links, and data integration, query and analysis service is set up. The informationization, networking, three-dimensional and intelligent quality safety monitoring network of 'safety early warning, traceable source, traceable flow direction, information inquiry, responsibility confirmation and product recall' is realized;

the product archive module comprises product indexes, a source tracing archive and product authentication; the product indexes comprise basic information, product indexes and product scores, the basic information comprises garden information, harvesting time, responsibility individuals, geographical positioning and the like, real-name authentication is carried out, and the responsibility is ensured to be clear; the product indexes refer to appearance, taste, weight and nutritional quality, and different agricultural products of different types also have different product indexes according to the characteristics of the agricultural products; the product scoring means that consumers can score the product through the platform, strive to truly and objectively reflect the quality of the agricultural product, and provide a platform for product condition feedback for other consumers and production enterprises;

the source tracing file refers to pictures in the whole growth period, fertilizer use records, pesticide use records, key environment data and real-time high-definition videos;

the product certification refers to providing a platform for displaying third party certification for production enterprises, and comprises pesticide residue detection, nuisance-free agricultural product certification, green food certification, organic food certification, HACCP certification and the like, so that consumers can fully know the quality and grade of the agricultural product production enterprises and create the characteristic brands of agricultural products.

One thing a yard of module utilizes advanced internet of things and instrument to give "identity" for every plant, can pursue the planting and the management of every plant through "identity" on scanning every plant, realizes the full life cycle management of plant, and "identity" on every plant means one-dimensional bar code, two-dimensional bar code or RFID label, and people can look over the full life cycle management of plant through scanning the code of tracing back on the plant.

The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;

secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are related, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;

and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.