Intelligent monitoring system of plant factory and operation method thereof
By constructing a multi-level, progressive system architecture, the problem of centralized management across multiple planting units and sites in existing technologies has been solved, enabling intelligent monitoring and environmental regulation of plant factories in their large-scale, distributed, and clustered development, thus ensuring efficient operation.
Patent Information
- Application Number
- CN202511722467.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-21
- Publication Date
- 2026-02-10
AI Technical Summary
Existing technologies cannot effectively support centralized management across multiple planting units, multiple physical sites, or cloud-edge collaboration, and lack the ability to support multi-scenario, multi-level system architectures in the large-scale, distributed, and clustered development of modern plant factories.
A multi-level, progressive system architecture is constructed, including a local independent operation module, a local centralized operation module, and a cloud centralized operation module. Through the synergy of state estimation and intelligent control, massive data aggregation, remote monitoring, and centralized intelligent decision-making across sites are achieved.
It extends the control logic of intelligent monitoring systems from local single units to local multi-units and cloud-based multi-sites, and builds a closed-loop environmental regulation mechanism to support the multi-scenario and multi-level management needs of modern plant factories in large-scale, distributed and clustered development, providing a reliable guarantee for efficient operation.
Smart Images
Figure CN121501070A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of agricultural environment control, in particular to an intelligent monitoring system of a plant factory and an operation method thereof. BACKGROUND
[0002] The plant factory is a highly integrated modern agricultural production system, which can realize the continuous production of crops throughout the year by automatically controlling the environmental conditions such as temperature, humidity, light, carbon dioxide concentration and nutrient solution through intelligent computers and electronic sensing systems. The equipment structure of the plant factory mainly includes vertically stacked planting modules, an environment control system and a monitoring system, which can realize precise management by simulating and optimizing the plant growth environment. In recent years, with the acceleration of global population growth and urbanization, traditional agriculture is facing multiple pressures such as land and water resource shortage and environmental pollution. As an innovative agricultural production mode, the market demand of the plant factory is showing a rapid growth trend.
[0003] Some scholars have proposed a method for analyzing the temperature and humidity field of a miniature plant factory and optimizing the layout of sensors. This method uses the computational fluid dynamics (CFD) simulation software FLUENT to simulate the temperature and humidity field under different schemes, analyzes the relationship between different sensor layouts and the changes of temperature and humidity in the plant growth area, and finds the best layout scheme of sensors.
[0004] However, the research object of this method is only a single, closed miniature plant factory box, and the sensor layout in a single physical space is optimized through CFD simulation. The system architecture and control logic are naturally limited to local, single operation scenarios, and cannot design or support centralized management and control systems across multiple planting units, multiple physical sites or cloud-edge collaboration. Therefore, it lacks the support capability of multi-scenario, multi-level system architecture required by modern plant factories in the development of large-scale, distributed and clustered. SUMMARY
[0005] Therefore, it is necessary to provide an intelligent monitoring system of a plant factory and an operation method thereof to solve the above technical problems.
[0006] The embodiment of the present application provides an intelligent monitoring system of a plant factory, wherein the plant factory comprises at least one plant growth workshop, and sensors and monitoring devices are arranged in each plant growth workshop; the intelligent monitoring system comprises a local independent running module, a local centralized running module and a cloud centralized running module. The local independent running module corresponds to a single plant growth workshop and comprises: an environment monitoring subsystem for collecting environmental data in the plant growth workshop in real time through the sensors and transmitting the environmental data and image data captured by the monitoring devices to the intelligent control subsystem; The intelligent control subsystem is used to upload environmental data and image data and execute control commands generated from the local centralized operation module or the cloud centralized operation module. The local centralized operation module includes: a central industrial control device and at least one local independent operation module; the central industrial control device is used to store environmental data from the plant growth workshop and issue control commands to the intelligent control subsystem based on the environmental data; The cloud-based centralized operation module includes a web platform and at least one local centralized operation module. The web platform is used to store environmental data and monitoring images uploaded from the local centralized operation module and process them using a flexible data processing algorithm to issue control commands to the intelligent control subsystem.
[0007] Optionally, the intelligent control subsystem includes a convergence controller and a local control panel; The convergence controller is used to aggregate environmental data collected by the environmental monitoring subsystem and receive control signals from the local control panel or the main industrial control equipment to control the environmental control equipment in the plant growth workshop. The local control panel is used to read and display the data summarized by the convergence controller, and provides a human-machine interface to send control signals to the convergence controller.
[0008] Optionally, the convergence controller is also used to: generate a device fault record and upload it as an alarm message if no response to the control signal is received from the environmental control device or no data is received from the data acquisition device; and record the control operations performed through the local control panel and generate an audit log to upload.
[0009] Optionally, the main industrial control equipment includes: A local database is used to store environmental data from the plant growth facility; The local human-machine interface is used to display environmental data in the local database in real time and to send control commands to the intelligent control subsystem.
[0010] Optionally, the overall industrial control equipment also includes an edge computing module, which is used for: The state estimation model is used to interpolate limited environmental data to estimate the overall environmental conditions within the plant factory. Based on real-time data and preset control strategies, control commands are generated and environmental control equipment is precisely controlled. Mark data as unuploaded when the network is disconnected, and re-upload it once the network is restored; Compress or filter keyframes of the video stream transmitted by the monitoring equipment.
[0011] Optionally, the Web platform specifically includes: A cloud-based database is used to store environmental data and monitoring footage uploaded from locally centralized operating modules; Cloud servers are used to receive, process, and store data from locally centralized operating modules and provide remote access services. The web backend is used to process data in the cloud server using flexible data processing algorithms and to send control commands to the intelligent control subsystem. The web front-end interface integrates multiple functional interfaces for viewing real-time environmental data, historical environmental data, and monitoring screens from the cloud database, and for remote monitoring and management.
[0012] Optionally, the flexible data processing algorithms for the web backend include: Automatically identify and delete duplicate data, and convert data of different formats into a uniform format; Dynamically select compression algorithms based on data characteristics to reduce storage space usage; By comprehensively analyzing environmental data, we can identify plant growth patterns or trends and dynamically adjust control strategies.
[0013] Optionally, the functional interfaces integrated into the Web front-end interface include: homepage interface, user center interface, site and equipment management interface, data management interface, monitoring screen management interface, security management interface, and system settings interface; The site and equipment management interface allows users to remotely operate specific environmental control equipment. Control commands are forwarded to the main industrial control equipment via the Web backend and finally issued to the corresponding environmental control equipment.
[0014] This invention also provides an operation method for an intelligent monitoring system for a plant factory, comprising: In the local independent operation module, environmental data in the plant growth workshop is collected in real time through sensors, and image data in the plant growth workshop is captured by monitoring equipment; the intelligent subsystem uploads environmental data and image data and executes control commands generated from the local centralized operation module or the cloud centralized operation module. In the local centralized operation module, the main industrial control equipment centrally stores environmental data from multiple plant growth workshops and displays it through the local human-machine interface and issues control commands to the intelligent control subsystem. In the cloud-based centralized operation module, the Web platform receives and stores data from multiple local centralized operation modules, processes the data through the Web backend, issues control commands to the intelligent control subsystem, and performs remote monitoring and management through the Web frontend interface.
[0015] The intelligent monitoring system and its operation method for a plant factory provided in this embodiment of the invention have the following advantages compared with the prior art: This invention constructs a multi-level progressive system architecture, achieving breakthroughs at three levels: the local independent operation module ensures that a single plant growth workshop has complete data acquisition and execution capabilities, forming a basic unit; the local centralized operation module integrates multiple workshops within the same site through a central industrial control device, realizing localized centralized data storage, unified human-computer interaction, and cross-workshop coordinated control; the cloud-based centralized operation module connects multiple plant factory clusters distributed in different regions through a Web platform, utilizing cloud servers and flexible data processing algorithms to achieve massive cross-site data aggregation, remote monitoring, and centralized intelligent decision-making.
[0016] This multi-level, progressive system architecture extends the control logic of the intelligent monitoring system of plant factories from "local, single-unit" to "local multi-unit and cloud multi-site". Through the synergy of state estimation and intelligent control, a closed-loop environmental regulation mechanism is constructed, which supports the core needs of modern plant factories for multi-scenario and multi-level management in the development of large-scale, distributed and clustered systems, and provides a reliable guarantee for the efficient operation of plant factories. Attached Figure Description
[0017] Figure 1 This is a general architecture diagram of an intelligent monitoring system for a plant factory provided in one embodiment; Figure 2 This is a schematic diagram of a local stand-alone operating module of an intelligent monitoring system for a plant factory provided in one embodiment; Figure 3 This is a schematic diagram of a local centralized operation module of an intelligent monitoring system for a plant factory provided in one embodiment; Figure 4 This is a schematic diagram of a cloud-based centralized operation module of an intelligent monitoring system for a plant factory, provided in one embodiment. Figure 5 This is a diagram illustrating the network reconnection data upload mechanism of an intelligent monitoring system for a plant factory, provided in one embodiment. Figure 6 This is a flowchart illustrating the optimized control strategy of an intelligent monitoring system for a plant factory, as provided in one embodiment. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0019] In practical applications of intelligent detection and monitoring systems for plant factories, three typical scenarios can be identified based on the factory's scale and management model: (1) Container or independent workshop scenario: The planting detection system and control system operate independently in a single planting container or workshop, which is generally used for small-scale planting or experimental projects; (2) Plant factory scenario: It consists of multiple planting cabins or independent workshops. Based on the independent operation of each cabin and workshop, a localized centralized management and control system needs to be formed to uniformly regulate light, water and fertilizer supply and environmental parameters, so as to achieve the optimal allocation and sharing of local resources. It is suitable for medium-scale agricultural production. (3) Factory cluster scenario: It consists of multiple plant factories distributed in different regions. It requires a unified cloud management platform to remotely monitor the operation status of each factory, which is suitable for large-scale distributed agricultural production and supply chain management.
[0020] This embodiment provides an intelligent monitoring system for a plant factory. The plant factory includes at least one plant growth workshop, and sensors and monitoring equipment are deployed in each plant growth workshop. The intelligent monitoring system includes: a local independent operation module, a local centralized operation module, and a cloud centralized operation module.
[0021] The locally independent operating module corresponds to a single plant growth workshop (applied to modular or independent workshop scenarios), and includes: an environmental monitoring subsystem, used to collect environmental data within the plant growth workshop in real time via sensors, and transmit the environmental data and image data captured by monitoring equipment to the intelligent control subsystem; and an intelligent control subsystem, used to upload environmental data and image data and execute control commands generated from the locally centralized operating module or the cloud-based centralized operating module.
[0022] The local centralized operation module (applied to plant factory scenarios) includes: a central industrial control device and at least one local independent operation module. The central industrial control device is used to store environmental data from the plant growth workshop and issue control commands to the intelligent control subsystem based on the environmental data.
[0023] The cloud-based centralized operation module (applied to factory cluster scenarios) includes a web platform and at least one local centralized operation module. The web platform stores environmental data and monitoring images uploaded from the local centralized operation module and processes them using flexible data processing algorithms to issue control commands to the intelligent control subsystem.
[0024] Preferably, the intelligent control subsystem includes a convergence controller and a local control panel. The convergence controller is used to aggregate environmental data collected by the environmental monitoring subsystem and receive control signals from the local control panel or the central industrial control equipment to control the environmental control equipment within the plant growth workshop. The local control panel is used to read and display the data aggregated by the convergence controller and provides a human-machine interface to send control signals to the convergence controller.
[0025] The convergence controller is also used to: generate a device fault record and upload it as an alarm message if no response to the control signal is received from the environmental control device or no data is received from the data acquisition device; and to record the control operations performed through the local control panel and generate an audit log for uploading.
[0026] Preferably, the main industrial control equipment specifically includes: A local database is used to store environmental data from the plant growth workshop.
[0027] The local human-machine interface is used to display environmental data in the local database in real time and to send control commands to the intelligent control subsystem.
[0028] The edge computing module is used to: interpolate limited environmental data using a state estimation model to estimate the overall environmental conditions within the plant factory; generate control commands and precisely control environmental control equipment based on real-time data and preset control strategies; mark unuploaded data when the network is disconnected and re-upload it after the network is restored; and compress or filter keyframes of the video stream transmitted by the monitoring equipment.
[0029] Preferably, the Web platform specifically includes: The cloud database is used to store environmental data and monitoring footage uploaded from locally centralized operating modules.
[0030] Cloud servers are used to receive, process, and store data from locally centralized operating modules and provide remote access services.
[0031] The web backend is used to process data in the cloud server using flexible data processing algorithms and to issue control commands to the intelligent control subsystem.
[0032] The web front-end interface integrates multiple functional interfaces for viewing real-time environmental data, historical environmental data, and monitoring screens from the cloud database, and for remote monitoring and management.
[0033] Preferably, the flexible data processing algorithm of the Web backend includes: automatically identifying and deleting duplicate data, and converting data of different formats into a unified format; dynamically selecting compression algorithms based on data characteristics to reduce storage space usage; and comprehensively analyzing environmental data to identify plant growth patterns or trends and dynamically adjusting control strategies.
[0034] Preferably, the integrated functional interfaces of the Web front-end interface include: a homepage interface, a user center interface, a site and equipment management interface, a data management interface, a monitoring screen management interface, a security management interface, and a system settings interface. Among them, the site and equipment management interface allows users to remotely operate specific environmental control equipment. Control commands are forwarded to the main industrial control equipment via the Web backend and finally issued to the corresponding environmental control equipment.
[0035] A specific embodiment of the present invention is provided: The environmental monitoring subsystem is used to collect environmental data in the plant factory in real time through a limited number of sensors and transmit the image data captured by the monitoring equipment to the intelligent control subsystem. The intelligent control subsystem is used to upload environmental data and image data provided by the environmental monitoring subsystem, and execute control commands generated by the main industrial control equipment or the Web backend.
[0036] Based on actual needs, the monitoring system provides three working states: local independent operation state implemented by the local independent operation module, local centralized operation state implemented by the local centralized operation module, and cloud centralized operation state implemented by the cloud centralized operation module.
[0037] The three states are progressive and can be operated in a hierarchical manner. The local centralized operation state includes the local independent operation state, while the cloud centralized operation state covers the first two working states. Customers can choose to configure one of the working states according to the scale of the factory and the management model.
[0038] 1. The local independent operation module is the core basic unit of the monitoring system, namely a single plant growth workshop. The following are the main functions of this module, which must be ensured: 1.1 Collect real-time environmental data from the plant growth workshop; 1.2 Directly control the internal environmental conditions of the plant growth workshop; 1.3 Basic human-computer interaction functions can be used with the local control screen; 1.4 Responsible for transmitting the monitoring images to the central control equipment in the local centralized operation module.
[0039] 2. The local centralized operation module is an extension module based on the local independent operation module. It monitors multiple basic units in one site. The main industrial control equipment mainly includes the following functions: 2.1 Collect environmental data for each basic unit centrally, store the data in a local database, and upload it to a cloud server; 2.2 Provide the local human-machine interface with monitoring videos, real-time data, and historical data of each basic unit; 2.3 It can receive control signals from the local human-machine interface and the Web backend to control the internal environmental conditions of the plant factory; 2.4 Edge computing capabilities are required: 2.4.1 By processing data in real time, the equipment is precisely controlled according to the set control strategy; 2.4.2 Using the Kriging interpolation method, a state estimation model is established to estimate the environmental data of the entire plant factory, so as to assess the environmental status of the entire plant factory in the basic unit and improve the comprehensiveness and uniformity of environmental monitoring in the plant factory. The limited data is expanded into more comprehensive environmental information and fed back to the intelligent control system to update the control strategy. 2.4.3 If data is marked as not uploaded after a network disconnection, the unuploaded data will be uploaded sequentially after the network is reconnected; 2.4.4 Compress the video stream or perform partial data filtering to transmit only the important frames; 2.4.5 Monitor the equipment's operating status, detect abnormalities, and perform predictive maintenance.
[0040] 3. The cloud-based centralized operation module further enhances the system's functionality based on the local centralized operation module, enabling monitoring of multiple sites and plant growth workshops. Its main functions include:
[0041] 3.1 Transmit the data and monitoring screens uploaded by the local centralized operation module to the cloud server and store the data in the cloud database; 3.2 The web front-end interface integrates multiple interfaces for customers to use, allowing them to view real-time and historical data, monitoring screens, and perform remote environmental control. 3.3 The monitoring system's web backend processing uses a flexible data processing algorithm: 3.3.1 Automatically identify and delete duplicate data to prevent data redundancy, and automatically convert data of different formats into a unified format, such as timestamp conversion and unit unification; 3.3.2 Dynamically select the most suitable compression algorithm based on data characteristics to reduce storage space usage; 3.3.3 By analyzing all environmental data, the regular patterns or trends of plant growth are identified, and the control strategy is dynamically adjusted in conjunction with the edge computing module in the main industrial control equipment.
[0042] Another specific embodiment of the present invention is provided: like Figure 1 As shown in this embodiment, the monitoring system is divided into three progressive modules according to the application scale and needs, in order to meet the monitoring needs of plant factories of different scales and requirements.
[0043] The local independent operating module serves as the basic unit, targeting a single plant factory. It is responsible for real-time environmental data acquisition, environmental control, and basic human-machine interaction, and transmits the monitoring screen to the main industrial control equipment.
[0044] The local centralized operation module introduces edge computing to achieve centralized management and data fusion of multiple basic units within the same site, and supports video surveillance and unified human-computer interaction.
[0045] The cloud-based centralized operation module is further extended to the management of multi-site plant factories. Environmental data and monitoring images from each site are uploaded to the cloud server via a web platform, supporting remote monitoring, control, and access control, thereby achieving efficient multi-site operation and maintenance. The state estimation model is integrated into the edge computing module, continuously providing high-precision environmental data feedback to the intelligent control system.
[0046] In this embodiment, as Figure 2 As shown, each monitoring device, data acquisition device (sensor), and environmental control device in the locally independent operation (basic unit) must be uniquely numbered or identified for accurate identification.
[0047] The data acquisition equipment collects environmental data in the plant factory. The convergence controller receives the data collected by the data acquisition equipment, summarizes it, and transmits it to the main industrial control equipment. At the same time, the local control screen reads the data collected by the convergence controller and displays the corresponding data on the control screen for users to view.
[0048] Control signals can be sent to the convergence controller via the local control panel to control the environmental control equipment and regulate environmental conditions in the plant factory. When controlling the environmental control equipment, the equipment sends a confirmation message to the convergence controller indicating successful signal transmission. If the convergence controller does not receive a response from the environmental control equipment or fails to receive data from the data acquisition equipment, it will record a fault and convert it into data, uploading it to the main industrial control equipment as an alarm. When using the local control panel, the convergence controller records these operations, converts them into data, and saves them. This data is then transmitted to the main industrial control equipment as an audit log. The monitoring equipment does not operate in conjunction with other devices; it only transmits video streams to the main industrial control equipment.
[0049] In this embodiment, as Figure 3 As shown, in the local centralized operation module, the convergence controllers contained in each local independent operation module (basic unit) will be numbered in the program configuration of the overall industrial control equipment, and the unique number or identifier of each device in the basic unit will be used. This approach aims to ensure that the data and information of each device can be accurately distinguished and identified, so as to enable efficient and accurate management and control.
[0050] After receiving data from the basic unit, the main industrial control equipment will perform three operations: First, data, alarm information, and audit logs from different basic units are saved to the local database of each basic unit. Data is then extracted from the database, processed and compressed locally, and then uploaded to the cloud server. Before uploading data, the network connection is checked. If the network is disconnected, the unuploaded data is marked. After the network is reconnected, the untransmitted data is re-uploaded sequentially.
[0051] Secondly, the data is displayed on the local user interface, where relevant data for different basic units will be displayed independently for users to view.
[0052] Third, the overall industrial control equipment needs edge computing capabilities to autonomously discover new control strategies to regulate the equipment and achieve automated environmental control, such as... Figure 6 As shown. Data saved to the database is uploaded to the web backend. If the network connection is lost, it is marked as not uploaded. Once the network is reconnected, the unuploaded data is uploaded sequentially. Figure 5 As shown.
[0053] After receiving the video stream from the monitoring equipment, the central industrial control device displays it in the local user interface and simultaneously transmits the video stream to the monitoring system's web backend for processing. The local user interface includes windows for data display, video display, audit logs, and alarm notifications, as well as buttons for manual device control. Users transmit control signals via these buttons to the convergence controller through the central industrial control device to control a specific environmental control device within the basic unit. Similar to the basic unit, if no data or control signal response is received, or no device control is activated, the central industrial control device will generate alarm information and audit logs, displaying them in the local user interface and simultaneously uploading them to the monitoring system's web backend for processing.
[0054] In this embodiment, as Figure 4 As shown, in centralized cloud operation, the monitoring system's web backend will assign unique numbers to multiple independently running local centralized operation (extended mode) instances. This numbering system will be consistent with the unique numbers or identifiers already used for basic unit instances in extended mode to ensure that all relevant data, alarm information, and audit logs can be accurately archived to the corresponding database in the web backend. The monitoring system's web frontend interface integrates seven interfaces: Home, User Center, Site and Equipment Management, Data Management, Monitoring Screen Management, Security Management, and System Settings.
[0055] The homepage interface is designed to intuitively display the following key information: real-time operating status of the site and equipment; alarm notifications for timely response; a model view of the site to help users understand the site layout; and quick links to other related pages to improve operational efficiency.
[0056] The user center interface displays the user's venue information, personal information, and the account's login logs.
[0057] In the site and equipment management interface, users can intuitively view detailed site information, site operating status, and equipment working conditions. This interface also supports the entry of new equipment information and the establishment of control links for these new devices. Users can remotely operate specific environmental control devices in the basic unit using the control buttons on the interface. Control signals are first received by the monitoring system's web-based command forwarding module and then forwarded to the central industrial control device in extended mode. Finally, the central industrial control device distributes these control signals to achieve precise control of the equipment in the basic unit environment.
[0058] In the data management interface, users can choose to display real-time data for specific basic units; view the maximum, minimum, and average values of these data within a day; arrange and combine real-time data from multiple basic units in extended mode separately and display them simultaneously; use line charts to display historical data for specific basic units, and be able to query and display historical data for the most recent month in tabular form; add new data sources to the display interface through interface operations, and the system will automatically create new database tables in the web backend to store this data.
[0059] The monitoring system's web backend has a video stream retrieval service to obtain video streams from the monitoring devices in Mode 1. The monitoring screen management interface displays the monitoring screen by calling this service. Users can retrieve and manage monitoring device information and view the monitoring screen of a specific basic unit by the monitoring device number. Images can be captured from the monitoring screen, and multiple monitoring screens can be displayed simultaneously.
[0060] In security management, audit logs and alarm notification windows will display information covering three working modes, and users can customize alarm rules.
[0061] The system settings interface is primarily for administrators, used for user account management, user account application approval, user permission allocation, and system settings logs. While these operations are performed, the web backend automatically generates new audit logs and saves them to the database. Furthermore, the system automatically records all related activities in the audit logs during these operations. The app interface displays data from the monitoring system's web interface, provides monitoring screen display, alarm notifications, and device control functions, and the app and the monitoring system's web interface share the same interface.
[0062] Based on the same inventive concept, embodiments of the present invention also provide an operation method for an intelligent monitoring system for a plant factory, including: In the locally operating independent module, environmental data within the plant growth workshop is collected in real time via sensors, and images of the workshop are captured by monitoring equipment. The intelligent subsystem uploads the environmental and image data and executes control commands generated from either the locally or cloud-based centralized operating module.
[0063] In the local centralized operation module, the main industrial control equipment centrally stores environmental data from multiple plant growth workshops and displays it through the local human-machine interface and issues control commands to the intelligent control subsystem.
[0064] In the cloud-based centralized operation module, the Web platform receives and stores data from multiple local centralized operation modules, processes the data through the Web backend, issues control commands to the intelligent control subsystem, and performs remote monitoring and management through the Web frontend interface.
[0065] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.
Claims
1. An intelligent monitoring system for a plant factory, characterized in that, The plant factory includes at least one plant growth workshop, and sensors and monitoring equipment are deployed in each plant growth workshop; the intelligent monitoring system includes: a local independent operation module, a local centralized operation module, and a cloud centralized operation module; The locally independent operating module corresponds to a single plant growth workshop and includes: The environmental monitoring subsystem is used to collect environmental data in the plant growth workshop in real time through sensors, and transmit the environmental data and image data captured by the monitoring equipment to the intelligent control subsystem. The intelligent control subsystem is used to upload environmental data and image data and execute control commands generated from the local centralized operation module or the cloud centralized operation module. The local centralized operation module includes: a central industrial control device and at least one local independent operation module; the central industrial control device is used to store environmental data from the plant growth workshop and to issue control commands to the intelligent control subsystem based on the environmental data; The cloud-based centralized operation module includes a web platform and at least one local centralized operation module. The web platform is used to store environmental data and monitoring images uploaded from the local centralized operation module and process them using a flexible data processing algorithm to issue control commands to the intelligent control subsystem.
2. The intelligent monitoring system for a plant factory as described in claim 1, characterized in that, The intelligent control subsystem includes a convergence controller and a local control panel; The convergence controller is used to aggregate the environmental data collected by the environmental monitoring subsystem and receive control signals from the local control panel or the main industrial control equipment to control the environmental control equipment in the plant growth workshop. The local control screen is used to read and display the data summarized by the convergence controller, and provides a human-machine interface to send control signals to the convergence controller.
3. The intelligent monitoring system for a plant factory as described in claim 2, characterized in that, The convergence controller is also used to: generate a device fault record and upload it as an alarm message if no response to the control signal is received from the environmental control device or no data is received from the data acquisition device; and record the control operations performed through the local control panel and generate an audit log for uploading.
4. The intelligent monitoring system for a plant factory as described in claim 1, characterized in that, The overall industrial control equipment specifically includes: A local database is used to store environmental data from the plant growth facility; The local human-machine interface is used to display environmental data in the local database in real time and to send control commands to the intelligent control subsystem.
5. The intelligent monitoring system for a plant factory as described in claim 4, characterized in that, The overall industrial control equipment also includes an edge computing module, which is used for: The state estimation model is used to interpolate limited environmental data to estimate the overall environmental conditions within the plant factory. Based on real-time data and preset control strategies, control commands are generated and environmental control equipment is precisely controlled. Mark data as unuploaded when the network is disconnected, and re-upload it once the network is restored; Compress or filter keyframes of the video stream transmitted by the monitoring equipment.
6. The intelligent monitoring system for a plant factory as described in claim 1, characterized in that, The Web platform specifically includes: A cloud-based database is used to store environmental data and monitoring footage uploaded from locally centralized operating modules; Cloud servers are used to receive, process, and store data from locally centralized operating modules and provide remote access services. The web backend is used to process data in the cloud server using flexible data processing algorithms and to send control commands to the intelligent control subsystem. The web front-end interface integrates multiple functional interfaces for viewing real-time environmental data, historical environmental data, and monitoring screens of the cloud database, and for remote monitoring and management.
7. The intelligent monitoring system for a plant factory as described in claim 6, characterized in that, The flexible data processing algorithm of the Web backend includes: Automatically identify and delete duplicate data, and convert data of different formats into a uniform format; Dynamically select compression algorithms based on data characteristics to reduce storage space usage; By comprehensively analyzing environmental data, we can identify plant growth patterns or trends and dynamically adjust control strategies.
8. The intelligent monitoring system for a plant factory as described in claim 6, characterized in that, The integrated functional interfaces of the Web front-end interface include: homepage interface, user center interface, site and equipment management interface, data management interface, monitoring screen management interface, security management interface, and system settings interface; The site and equipment management interface allows users to remotely operate specific environmental control devices. Control commands are forwarded to the main industrial control device via the Web backend and finally issued to the corresponding environmental control devices.
9. The method of operating a smart monitoring system for a plant factory as described in any one of claims 1-8, characterized in that, include: In the local independent operation module, environmental data in the plant growth workshop is collected in real time through sensors, and image data in the plant growth workshop is captured by monitoring equipment; the intelligent subsystem uploads environmental data and image data and executes control commands generated from the local centralized operation module or the cloud centralized operation module. In the local centralized operation module, the main industrial control equipment centrally stores environmental data from multiple plant growth workshops and displays it through the local human-machine interface and issues control commands to the intelligent control subsystem. In the cloud-based centralized operation module, the Web platform receives and stores data from multiple local centralized operation modules, processes the data through the Web backend, issues control commands to the intelligent control subsystem, and performs remote monitoring and management through the Web frontend interface.