An artificial intelligence-based agricultural greenhouse intelligent management method and system

Abstract

This invention discloses an intelligent management method and system for agricultural greenhouses based on artificial intelligence, relating to the field of electrical data analysis technology. It includes coordinate planning processing of the locations of all monitoring devices inside the agricultural greenhouse. This invention calculates all monitoring data from the devices to determine if any abnormal data changes occur inside the greenhouse. Once an abnormal data change is identified, its location is determined, and path planning is performed to determine the maintenance path for that location. However, some abnormal data changes may not cause changes to the greenhouse environment or affect crop growth. Therefore, real-time operational data at the location of the abnormal data change is compared and analyzed to determine whether maintenance is necessary. This method not only ensures normal crop growth inside the greenhouse but also reduces greenhouse maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of electrical data analysis technology, specifically to an intelligent management method and system for agricultural greenhouses based on artificial intelligence. Background Technology

[0002] Agricultural greenhouses are facilities used in modern agriculture to regulate the crop growth environment, effectively resisting natural disasters and extending the crop growing season.

[0003] Agricultural greenhouses separate crops from the external environment, allowing them to grow out of season. However, if abnormalities occur inside the greenhouse, crops cannot grow normally. Without timely monitoring and analysis of the data inside the greenhouse, these abnormalities will go undetected, thus prolonging the growing season for crops. Summary of the Invention

[0004] To address the aforementioned technical problems, this paper provides an intelligent management method and system for agricultural greenhouses based on artificial intelligence. This technical solution resolves the issues raised in the background section.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: An intelligent management method for agricultural greenhouses based on artificial intelligence includes: The location of all monitoring devices inside the agricultural greenhouse is obtained. Based on the intelligent management terminal, the coordinate planning process is performed on the location of all monitoring devices inside the agricultural greenhouse to obtain the location coordinates of all monitoring devices. Acquire all monitoring data from the monitoring equipment, and perform data analysis and processing on all monitoring data based on the intelligent management terminal to determine the location of abnormal data changes; Based on the intelligent management terminal, the maintenance cost of the location of abnormal data change is analyzed and processed to determine the maintenance cost of the location of abnormal data change. Based on the intelligent management terminal, the system performs comparative analysis on the locations of abnormal data changes according to the maintenance costs, and then selects whether to repair those locations.

[0006] Preferably, the step of obtaining the location of all monitoring devices inside the agricultural greenhouse, based on the intelligent management terminal, involves coordinate planning processing of the locations of all monitoring devices inside the agricultural greenhouse to obtain the location coordinates of all monitoring devices, specifically including the following steps: Based on the intelligent management terminal, information is extracted and processed from the agricultural greenhouses to be managed to determine the greenhouse number information. Based on the intelligent management terminal, the database system is used to retrieve and process data according to the number information of the agricultural greenhouse to be managed, so as to obtain the structural drawings of the agricultural greenhouse and the location of all monitoring equipment inside the agricultural greenhouse. Based on the intelligent management terminal, the coordinate planning of all monitoring locations inside the agricultural greenhouse is performed according to the structural drawings of the agricultural greenhouse to obtain the location coordinates of all monitoring devices.

[0007] Preferably, the step of using an intelligent management terminal to perform coordinate planning processing on the locations of all monitoring devices inside the agricultural greenhouse according to the structural drawings of the agricultural greenhouse, and obtaining the location coordinates of all monitoring devices, specifically includes the following steps: Based on the intelligent management terminal, information is extracted and processed from the structural drawings of the agricultural greenhouse to determine the shape of the agricultural greenhouse from a top-down perspective. Based on the intelligent management terminal, the positional analysis of the top-view shape of the agricultural greenhouse is performed to determine the center point of the top-view shape of the agricultural greenhouse. Based on the intelligent management terminal, a three-dimensional rectangular coordinate system for the agricultural greenhouse is constructed according to the center point of the greenhouse's top-view shape. The origin of this three-dimensional rectangular coordinate system is the center point of the greenhouse's top-view shape; the X-axis represents the horizontal direction of the greenhouse's top-view shape; the Y-axis represents the vertical direction of the greenhouse's top-view shape; and the Z-axis represents the normal direction passing through the center point of the greenhouse's top-view shape. Based on the intelligent management terminal, the location of all monitoring devices inside the agricultural greenhouse is matched with the three-dimensional rectangular coordinate system of the agricultural greenhouse to obtain the location coordinates of all monitoring devices.

[0008] Preferably, the step of acquiring all monitoring data from the monitoring equipment, and based on the intelligent management terminal, performing data analysis and processing on all monitoring data to determine the location of abnormal data changes specifically includes the following steps: Based on the intelligent management terminal, the database system is used to retrieve and process data according to the number information of the agricultural greenhouse to be managed, so as to obtain the model of all monitoring equipment inside the agricultural greenhouse. Based on the intelligent management terminal, information is retrieved and processed according to the model of all monitoring equipment inside the agricultural greenhouse to obtain the factory manuals of all monitoring equipment. Based on the intelligent management terminal, information is extracted and processed from the factory manuals of all monitoring devices to obtain the data transmission paths of all monitoring devices. Based on the intelligent management terminal, data retrieval and processing are performed on all monitoring devices inside the agricultural greenhouse according to the data transmission path of all monitoring devices to obtain all monitoring data of the monitoring devices. Based on the intelligent management terminal, all monitoring data from the monitoring equipment are calculated and processed to obtain the daily data change rate of each location inside the agricultural greenhouse; Based on the intelligent management terminal, the daily data change rate of each location inside the agricultural greenhouse is compared and analyzed to determine the location of abnormal data changes.

[0009] Preferably, the step of calculating and processing all monitoring data from the monitoring equipment based on the intelligent management terminal to obtain the daily data change rate for each location inside the agricultural greenhouse specifically includes the following steps: Based on the intelligent management terminal, the parameters of the monitoring equipment are read and processed to determine the data acquisition interval of the monitoring equipment; Based on the intelligent management terminal, all monitoring data of the monitoring equipment are classified and processed according to the date to obtain the daily monitoring data of the monitoring equipment. Based on the intelligent management terminal, the daily monitoring data of the monitoring equipment is calculated and processed according to the data collection interval of the monitoring equipment to obtain the daily data change rate of each location inside the agricultural greenhouse.

[0010] Preferably, the step of comparing and analyzing the daily data change rate of each location inside the agricultural greenhouse based on the intelligent management terminal to determine the location of abnormal data changes specifically includes the following steps: Based on the intelligent management terminal, the time information of the monitoring equipment inside the agricultural greenhouse is extracted and processed to obtain the real-time time of the agricultural greenhouse. Based on the intelligent management terminal, the daily data change rate of each location inside the agricultural greenhouse is read and processed using the real-time time as the feature, so as to obtain the real-time data change rate of each location inside the agricultural greenhouse. Based on the intelligent management terminal, the real-time data change rate of each location inside the agricultural greenhouse is removed from the daily data change rate of each location inside the agricultural greenhouse, and the historical data change rate of each location inside the agricultural greenhouse is obtained. Based on the intelligent management terminal, the average data change rate of each location inside the agricultural greenhouse is calculated and processed to obtain the average data change rate of each location inside the agricultural greenhouse. Based on the intelligent management terminal, the real-time data change rate and the average data change rate of each location inside the agricultural greenhouse are compared and analyzed to determine the locations of abnormal data changes.

[0011] Preferably, the step of comparing and analyzing the real-time data change rate and the average data change rate at each location inside the agricultural greenhouse based on the intelligent management terminal to determine the location of abnormal data changes specifically includes the following steps: Based on the intelligent management terminal, the difference between the real-time data change rate and the average data change rate of each location inside the agricultural greenhouse is calculated to obtain the difference in data change rate of each location inside the agricultural greenhouse. Based on the intelligent management terminal, the difference in the rate of change of data at each location inside the agricultural greenhouse and the set threshold for the difference in the rate of change of data are judged and processed. If there is a data point in the data change rate difference at each location inside the agricultural greenhouse that is greater than or equal to the set data change rate difference threshold, the agricultural greenhouse is operating abnormally. The location corresponding to this data is recorded and set as the location of abnormal data change. If there is no data in the data change rate difference at each location inside the agricultural greenhouse that is greater than or equal to the set data change rate difference threshold, the agricultural greenhouse will operate normally.

[0012] Preferably, the step of performing maintenance cost analysis on the locations of abnormal data changes based on the intelligent management terminal to determine the maintenance cost of the locations of abnormal data changes specifically includes the following steps: Based on the intelligent management terminal, the location of abnormal data changes and the three-dimensional rectangular coordinate system of the agricultural greenhouse are matched to determine the coordinate information of the abnormal data change location. Based on the intelligent management terminal, the coordinate information of the location of abnormal data changes is analyzed and processed to determine the maintenance path of the location of abnormal data changes; Based on the intelligent management terminal, the maintenance path of the location of abnormal data change is analyzed and processed to determine the tools required for maintenance; Based on the intelligent management terminal, the cost of tools required for maintenance is calculated, and the maintenance cost of locations with abnormal data changes is obtained.

[0013] Preferably, the step of using an intelligent management terminal to perform data comparison and analysis on locations of abnormal data changes based on maintenance costs, and then selecting whether to repair those locations, specifically includes the following steps: Based on the intelligent management terminal, data matching processing is performed on all monitoring data of the monitoring equipment according to the location of abnormal data changes to determine the real-time operating data of the location of abnormal data changes; Based on the intelligent management terminal, the real-time operating data of the location of abnormal data changes and the set operating data threshold are judged and processed; If the real-time operating data at the location of abnormal data change is greater than or equal to the set operating data threshold, the agricultural greenhouse can operate normally and there is no need to repair the location of abnormal data change. If the real-time operating data at the location of the abnormal data change is less than the set operating data threshold, the agricultural greenhouse cannot operate normally. Based on the intelligent management terminal, the location of the abnormal data change and the maintenance cost of the location of the abnormal data change are sent to the electronic device of the agricultural greenhouse manager.

[0014] Furthermore, an AI-based intelligent management system for agricultural greenhouses is proposed to implement the aforementioned AI-based intelligent management method for agricultural greenhouses, including: The intelligent management terminal is used to control the data transmission and information interaction between various modules. The intelligent management terminal is also used to control the various modules to perform data analysis, maintenance cost analysis and data comparison on all monitoring data of the monitoring equipment, and to select whether to perform maintenance on the locations of abnormal data changes. A database system is used to store structural drawings of agricultural greenhouses and the locations of all monitoring devices inside the agricultural greenhouses; The monitoring equipment coordinate determination module constructs a three-dimensional rectangular coordinate system for the agricultural greenhouse based on the structural drawings of the agricultural greenhouse, and performs position matching processing on all monitoring locations inside the agricultural greenhouse and the three-dimensional rectangular coordinate system of the agricultural greenhouse to obtain the position coordinates of all monitoring equipment. The data anomaly location determination module is used to classify, calculate, and compare all monitoring data from the monitoring equipment to determine the location of abnormal data changes. The maintenance cost calculation module is used to perform path planning and tool cost calculation for the location of abnormal data changes, and to determine the maintenance cost of the location of abnormal data changes. The data anomaly location analysis module is used to compare and analyze real-time operational data of data anomaly locations and select whether to repair the data anomaly locations.

[0015] Compared with existing technologies, this invention provides an intelligent management method and system for agricultural greenhouses based on artificial intelligence, which has the following beneficial effects: This invention calculates all monitoring data from the monitoring equipment to determine if any abnormal data changes occur inside the greenhouse. Once an abnormal data change is identified, its location is determined, and path planning is performed to determine the maintenance path for that location. However, some abnormal data changes may not cause changes to the greenhouse environment or affect the growth of crops. Therefore, real-time operational data at the location of the abnormal data change is compared and analyzed to determine whether maintenance is necessary. This method not only ensures the normal growth of crops inside the greenhouse but also reduces the greenhouse's maintenance costs. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating steps S100-S400 in an intelligent management method for agricultural greenhouses based on artificial intelligence proposed in this invention. Figure 2 This is a structural block diagram of an intelligent agricultural greenhouse management system based on artificial intelligence proposed in this invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, an intelligent management method for agricultural greenhouses based on artificial intelligence includes: S100. Obtain the location of all monitoring devices inside the agricultural greenhouse. Based on the intelligent management terminal, perform coordinate planning processing on the location of all monitoring devices inside the agricultural greenhouse to obtain the location coordinates of all monitoring devices. S200: Acquire all monitoring data from the monitoring equipment; perform data analysis and processing on all monitoring data from the monitoring equipment based on the intelligent management terminal; and determine the location of abnormal data changes. S300: Based on the intelligent management terminal, perform maintenance cost analysis on the location of abnormal data changes to determine the maintenance cost of the location of abnormal data changes. S400: Based on the intelligent management terminal, the system performs comparative analysis on the locations of abnormal data changes according to the maintenance costs, and selects whether to repair the locations of abnormal data changes. Those skilled in the art will understand that agricultural greenhouses can enable off-season crop growth. However, when abnormalities occur inside the greenhouse, the internal environment is disrupted, and crop growth is slowed. Therefore, it is necessary to calculate and analyze the data collected by monitoring equipment inside the greenhouse to determine whether there are any abnormal data changes. However, the presence of abnormal data changes does not necessarily mean that the greenhouse must be repaired. If the abnormality does not affect the internal environment of the greenhouse and the growth of crops is not affected, then there is no need to repair the location of the abnormal data change, thus reducing the maintenance cost of the greenhouse. Example

[0019] Step S100: Obtain the location of all monitoring devices inside the agricultural greenhouse. Based on the intelligent management terminal, perform coordinate planning processing on the locations of all monitoring devices inside the agricultural greenhouse to obtain the location coordinates of all monitoring devices. This specifically includes the following steps: S101. Based on the intelligent management terminal, extract and process information of the agricultural greenhouses to be managed, and determine the number information of the agricultural greenhouses to be managed. S102. Based on the intelligent management terminal, the database system is retrieved and processed according to the number information of the agricultural greenhouse to be managed, and the structural drawings of the agricultural greenhouse and the location of all monitoring equipment inside the agricultural greenhouse are obtained. S103. Based on the intelligent management terminal, coordinate planning is performed on all monitoring locations inside the agricultural greenhouse according to the structural drawings of the agricultural greenhouse to obtain the location coordinates of all monitoring devices. Specifically, step S103, based on the intelligent management terminal, involves coordinate planning processing of all monitoring locations inside the agricultural greenhouse according to the structural drawings of the agricultural greenhouse to obtain the location coordinates of all monitoring devices. This includes the following steps: S1031. Based on the intelligent management terminal, information is extracted and processed from the structural drawings of the agricultural greenhouse to determine the shape of the agricultural greenhouse from a top-down perspective. It is understandable that the top-view shape of an agricultural greenhouse refers to the plane where the agricultural greenhouse intersects with the ground; S1032. Based on the intelligent management terminal, perform positional analysis and processing on the top-view shape of the agricultural greenhouse to determine the center point of the top-view shape of the agricultural greenhouse. S1033. Based on the intelligent management terminal, a three-dimensional rectangular coordinate system for the agricultural greenhouse is constructed according to the center point of the greenhouse's top-view shape; wherein, the origin of the three-dimensional rectangular coordinate system is the center point of the greenhouse's top-view shape, the X-axis is the horizontal direction of the greenhouse's top-view shape, the Y-axis is the vertical direction of the greenhouse's top-view shape, and the Z-axis is the normal direction passing through the center point of the greenhouse's top-view shape. S1034. Based on the intelligent management terminal, perform position matching processing on the location of all monitoring devices inside the agricultural greenhouse and the three-dimensional rectangular coordinate system of the agricultural greenhouse to obtain the position coordinates of all monitoring devices; In this embodiment, when an agricultural greenhouse malfunctions, it needs to be repaired. If the location of the malfunction is not accurately determined, the maintenance personnel will need to search for it. However, by constructing a coordinate system, coordinates are assigned to each location inside the agricultural greenhouse. Subsequently, the maintenance personnel can accurately locate the malfunction based on the coordinates, thus shortening the maintenance time of the greenhouse. Example

[0020] Step S200: Acquire all monitoring data from the monitoring equipment. Based on the intelligent management terminal, perform data analysis and processing on all monitoring data from the monitoring equipment to determine the location of abnormal data changes. This specifically includes the following steps: S201. Based on the intelligent management terminal, the database system is processed to retrieve data according to the number information of the agricultural greenhouse to be managed, and the models of all monitoring equipment inside the agricultural greenhouse are obtained. S202. Based on the intelligent management terminal, information retrieval and processing are performed according to the model of all monitoring equipment inside the agricultural greenhouse to obtain the factory manuals of all monitoring equipment. S203. Based on the intelligent management terminal, extract and process information from the factory manuals of all monitoring devices to obtain the data transmission paths of all monitoring devices. S204. Based on the intelligent management terminal, data retrieval and processing are performed on all monitoring devices inside the agricultural greenhouse according to the data transmission path of all monitoring devices to obtain all monitoring data of the monitoring devices. S205. Based on the intelligent management terminal, all monitoring data from the monitoring equipment are calculated and processed to obtain the daily data change rate of each location inside the agricultural greenhouse. S206. Based on the intelligent management terminal, compare and analyze the daily data change rate of each location inside the agricultural greenhouse to determine the location of abnormal data changes. It is understandable that monitoring equipment from multiple manufacturers may be installed inside agricultural greenhouses. Each manufacturer's monitoring equipment may use different data transmission paths. Therefore, it is necessary to determine the model of the monitoring equipment in order to determine the data transmission path of the monitoring equipment and thus obtain all the monitoring data of the monitoring equipment. Specifically, step S205, which involves processing all monitoring data from the monitoring equipment based on the intelligent management terminal to obtain the daily data change rate for each location inside the agricultural greenhouse, includes the following steps: S2051. Based on the intelligent management terminal, the parameters of the monitoring equipment are read and processed to determine the data acquisition interval of the monitoring equipment. S2052. Based on the intelligent management terminal, the monitoring data of all monitoring equipment is classified and processed according to the date to obtain the daily monitoring data of the monitoring equipment. S2053. Based on the intelligent management terminal, the daily monitoring data of the monitoring equipment is calculated and processed according to the data collection interval of the monitoring equipment to obtain the daily data change rate of each location inside the agricultural greenhouse. Step S206, which involves comparing and analyzing the daily data change rate at each location inside the agricultural greenhouse based on the intelligent management terminal to determine the locations of abnormal data changes, specifically includes the following steps: S2061. Based on the intelligent management terminal, the time information of the monitoring equipment inside the agricultural greenhouse is extracted and processed to obtain the real-time time of the agricultural greenhouse. S2062. Based on the intelligent management terminal, the daily data change rate of each location inside the agricultural greenhouse is read and processed using the real-time time as the feature, so as to obtain the real-time data change rate of each location inside the agricultural greenhouse. S2063. Based on the intelligent management terminal, remove the real-time data change rate of each location inside the agricultural greenhouse from the daily data change rate of each location inside the agricultural greenhouse, and obtain the historical data change rate of each location inside the agricultural greenhouse. S2064. Based on the intelligent management terminal, the average data change rate of each location inside the agricultural greenhouse is calculated and processed to obtain the average data change rate of each location inside the agricultural greenhouse. S2065. Based on the intelligent management terminal, compare and analyze the real-time data change rate and the average data change rate of each location inside the agricultural greenhouse to determine the location of abnormal data changes. Specifically, step S2065, based on the intelligent management terminal, involves comparing and analyzing the real-time data change rate and the average data change rate at each location inside the agricultural greenhouse to determine the locations of abnormal data changes. This includes the following steps: S20651. Based on the intelligent management terminal, the difference between the real-time data change rate and the average data change rate of each location inside the agricultural greenhouse is calculated to obtain the difference in data change rate of each location inside the agricultural greenhouse. S20652. Based on the intelligent management terminal, the difference in the rate of change of data at each location inside the agricultural greenhouse and the set threshold for the difference in the rate of change of data are judged and processed. S20653. If there is data in the data change rate difference of each location inside the agricultural greenhouse that is greater than or equal to the set data change rate difference threshold, the agricultural greenhouse is operating abnormally. Record the location corresponding to this data and set it as the location of abnormal data change. S20654. If there is no data in the data change rate difference at each location inside the agricultural greenhouse that is greater than or equal to the set data change rate difference threshold, the agricultural greenhouse will operate normally. In this embodiment, to determine whether there is an abnormality in the internal environment of the agricultural greenhouse, a control group needs to be set up. The historical data change rate of each location inside the agricultural greenhouse is a good control group. Therefore, the real-time data change rate of each location inside the agricultural greenhouse is calculated and processed by the historical data change rate of each location inside the agricultural greenhouse. It is determined whether the real-time data change rate of each location inside the agricultural greenhouse has changed compared with the historical data change rate of each location inside the agricultural greenhouse. If a change has occurred, it indicates that there is an abnormality inside the agricultural greenhouse, and the location where the abnormality occurs is the location of the abnormal data change. Example

[0021] Step S300: Based on the intelligent management terminal, perform maintenance cost analysis on the locations of abnormal data changes to determine the maintenance cost of those locations. This includes the following steps: S301. Based on the intelligent management terminal, perform position matching processing on the location of abnormal data changes and the three-dimensional rectangular coordinate system of the agricultural greenhouse to determine the coordinate information of the location of abnormal data changes. S302. Based on the intelligent management terminal, perform location analysis and processing on the coordinate information of the location of abnormal data changes to determine the maintenance path of the location of abnormal data changes. S303. Based on the intelligent management terminal, perform path analysis and processing on the maintenance path of the location of abnormal data changes to determine the tools required for maintenance; S304. Based on the intelligent management terminal, perform cost calculation processing on the tools required for maintenance and obtain the maintenance cost of the location where the data changes abnormally; In this embodiment, repairing malfunctions in some parts of the agricultural greenhouse is simple, while repairing malfunctions in others is difficult and may require many tools, leading to increased maintenance costs. However, not all malfunctions inside the greenhouse require repair. For example, if the efficiency of the heating machine inside the greenhouse decreases, but the heat released by the heating machine is still sufficient to ensure the normal growth of crops inside the greenhouse, then there is no need to repair the heating machine. If the heating machine is repaired, it needs to be turned off, which will cause the temperature inside the greenhouse to drop, preventing crops from growing normally. Example

[0022] Step S400: Based on the intelligent management terminal, perform data comparison and analysis on the locations of abnormal data changes according to the maintenance costs, and select whether to repair the locations of abnormal data changes. This specifically includes the following steps: S401. Based on the intelligent management terminal, perform data matching processing on all monitoring data of the monitoring equipment according to the location of abnormal data changes, and determine the real-time operating data of the location of abnormal data changes; S402. Based on the intelligent management terminal, the real-time operating data of the location of abnormal data changes and the set operating data threshold are judged and processed. S403. If the real-time operating data at the location of abnormal data change is greater than or equal to the set operating data threshold, the agricultural greenhouse can operate normally without the need for maintenance at the location of abnormal data change. S404. If the real-time operating data at the location of abnormal data change is less than the set operating data threshold, the agricultural greenhouse cannot operate normally. Based on the intelligent management terminal, the location of abnormal data change and the maintenance cost of the location of abnormal data change are sent to the electronic device of the agricultural greenhouse manager. In this embodiment, when an anomaly occurs inside the greenhouse, the abnormal data is compared with the data required for crop growth. If it does not affect the normal growth of the crops, there is no need to repair it, because the crops may be damaged during the repair process. Therefore, when the real-time running data at the location of the abnormal data change is greater than or equal to the set running data threshold, the agricultural greenhouse can operate normally without repairing the location of the abnormal data change, thus reducing the probability of damage to the crops.

[0023] Reference Figure 2 As shown, an artificial intelligence-based intelligent management system for agricultural greenhouses is used to implement the aforementioned artificial intelligence-based intelligent management method for agricultural greenhouses, including: The intelligent management terminal is used to control the data transmission and information interaction between various modules. The intelligent management terminal is also used to control the various modules to perform data analysis, maintenance cost analysis and data comparison on all monitoring data of the monitoring equipment, and to select whether to perform maintenance on the locations of abnormal data changes. A database system is used to store structural drawings of agricultural greenhouses and the locations of all monitoring devices inside the agricultural greenhouses; The monitoring equipment coordinate determination module constructs a three-dimensional rectangular coordinate system for the agricultural greenhouse based on the structural drawings of the agricultural greenhouse, and performs position matching processing on all monitoring locations inside the agricultural greenhouse and the three-dimensional rectangular coordinate system of the agricultural greenhouse to obtain the position coordinates of all monitoring equipment. The data anomaly location determination module is used to classify, calculate, and compare all monitoring data from the monitoring equipment to determine the location of abnormal data changes. The maintenance cost calculation module is used to perform path planning and tool cost calculation for the location of abnormal data changes, and to determine the maintenance cost of the location of abnormal data changes. The data anomaly location analysis module is used to compare and analyze real-time operational data of data anomaly locations and select whether to repair the data anomaly locations.

[0024] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for intelligent management of agricultural greenhouses based on artificial intelligence, characterized in that, include: The location of all monitoring devices inside the agricultural greenhouse is obtained. Based on the intelligent management terminal, the coordinate planning process is performed on the location of all monitoring devices inside the agricultural greenhouse to obtain the location coordinates of all monitoring devices. Acquire all monitoring data from the monitoring equipment, and perform data analysis and processing on all monitoring data based on the intelligent management terminal to determine the location of abnormal data changes; Based on the intelligent management terminal, the maintenance cost of the location of abnormal data change is analyzed and processed to determine the maintenance cost of the location of abnormal data change. Based on the intelligent management terminal, the system performs comparative analysis on the locations of abnormal data changes according to the maintenance costs, and then selects whether to repair those locations.

2. The intelligent management method for agricultural greenhouses based on artificial intelligence according to claim 1, characterized in that, The process of obtaining the location of all monitoring devices inside the agricultural greenhouse, based on the intelligent management terminal, involves coordinate planning processing of the locations of all monitoring devices inside the agricultural greenhouse to obtain the location coordinates of all monitoring devices. Specifically, this includes the following steps: Based on the intelligent management terminal, information is extracted and processed from the agricultural greenhouses to be managed to determine the greenhouse number information. Based on the intelligent management terminal, the database system is used to retrieve and process data according to the number information of the agricultural greenhouse to be managed, so as to obtain the structural drawings of the agricultural greenhouse and the location of all monitoring equipment inside the agricultural greenhouse. Based on the intelligent management terminal, the coordinate planning of the location of all monitoring devices inside the agricultural greenhouse is performed according to the structural drawings of the agricultural greenhouse, and the location coordinates of all monitoring devices are obtained.

3. The intelligent management method for agricultural greenhouses based on artificial intelligence according to claim 2, characterized in that, The process of obtaining the location coordinates of all monitoring devices inside the agricultural greenhouse by performing coordinate planning based on the structural drawings of the agricultural greenhouse using the intelligent management terminal includes the following steps: Based on the intelligent management terminal, information is extracted and processed from the structural drawings of the agricultural greenhouse to determine the shape of the agricultural greenhouse from a top-down perspective. Based on the intelligent management terminal, the positional analysis of the top-view shape of the agricultural greenhouse is performed to determine the center point of the top-view shape of the agricultural greenhouse. Based on the intelligent management terminal, a three-dimensional rectangular coordinate system for the agricultural greenhouse is constructed according to the center point of the greenhouse's top-view shape. The origin of this three-dimensional rectangular coordinate system is the center point of the greenhouse's top-view shape; the X-axis represents the horizontal direction of the greenhouse's top-view shape; the Y-axis represents the vertical direction of the greenhouse's top-view shape; and the Z-axis represents the normal direction passing through the center point of the greenhouse's top-view shape. Based on the intelligent management terminal, the location of all monitoring devices inside the agricultural greenhouse is matched with the three-dimensional rectangular coordinate system of the agricultural greenhouse to obtain the location coordinates of all monitoring devices.

4. The intelligent management method for agricultural greenhouses based on artificial intelligence according to claim 3, characterized in that, The process of acquiring all monitoring data from the monitoring equipment, and analyzing and processing the data based on the intelligent management terminal to determine the location of abnormal data changes, specifically includes the following steps: Based on the intelligent management terminal, the database system is used to retrieve and process data according to the number information of the agricultural greenhouse to be managed, so as to obtain the model of all monitoring equipment inside the agricultural greenhouse. Based on the intelligent management terminal, information is retrieved and processed according to the model of all monitoring equipment inside the agricultural greenhouse to obtain the factory manuals of all monitoring equipment. Based on the intelligent management terminal, information is extracted and processed from the factory manuals of all monitoring devices to obtain the data transmission paths of all monitoring devices. Based on the intelligent management terminal, data retrieval and processing are performed on all monitoring devices inside the agricultural greenhouse according to the data transmission path of all monitoring devices to obtain all monitoring data of the monitoring devices. Based on the intelligent management terminal, all monitoring data from the monitoring equipment are calculated and processed to obtain the daily data change rate of each location inside the agricultural greenhouse; Based on the intelligent management terminal, the daily data change rate of each location inside the agricultural greenhouse is compared and analyzed to determine the location of abnormal data changes.

5. The intelligent management method for agricultural greenhouses based on artificial intelligence according to claim 4, characterized in that, The process of calculating and processing all monitoring data from the monitoring equipment based on the intelligent management terminal to obtain the daily data change rate for each location inside the agricultural greenhouse specifically includes the following steps: Based on the intelligent management terminal, the parameters of the monitoring equipment are read and processed to determine the data acquisition interval of the monitoring equipment; Based on the intelligent management terminal, all monitoring data of the monitoring equipment are classified and processed according to the date to obtain the daily monitoring data of the monitoring equipment. Based on the intelligent management terminal, the daily monitoring data of the monitoring equipment is calculated and processed according to the data collection interval of the monitoring equipment to obtain the daily data change rate of each location inside the agricultural greenhouse.

6. The intelligent management method for agricultural greenhouses based on artificial intelligence according to claim 5, characterized in that, The process of comparing and analyzing the daily data change rate at each location inside the agricultural greenhouse based on the intelligent management terminal to determine the locations of abnormal data changes includes the following steps: Based on the intelligent management terminal, the time information of the monitoring equipment inside the agricultural greenhouse is extracted and processed to obtain the real-time time of the agricultural greenhouse. Based on the intelligent management terminal, the daily data change rate of each location inside the agricultural greenhouse is read and processed using the real-time time as the feature, so as to obtain the real-time data change rate of each location inside the agricultural greenhouse. Based on the intelligent management terminal, the real-time data change rate of each location inside the agricultural greenhouse is removed from the daily data change rate of each location inside the agricultural greenhouse, and the historical data change rate of each location inside the agricultural greenhouse is obtained. Based on the intelligent management terminal, the average data change rate of each location inside the agricultural greenhouse is calculated and processed to obtain the average data change rate of each location inside the agricultural greenhouse. Based on the intelligent management terminal, the real-time data change rate and the average data change rate of each location inside the agricultural greenhouse are compared and analyzed to determine the locations of abnormal data changes.

7. The intelligent management method for agricultural greenhouses based on artificial intelligence according to claim 6, characterized in that, The process of comparing and analyzing the real-time data change rate and the average data change rate at each location inside the agricultural greenhouse based on the intelligent management terminal to determine the locations of abnormal data changes includes the following steps: Based on the intelligent management terminal, the difference between the real-time data change rate and the average data change rate of each location inside the agricultural greenhouse is calculated to obtain the difference in data change rate of each location inside the agricultural greenhouse. Based on the intelligent management terminal, the difference in the rate of change of data at each location inside the agricultural greenhouse and the set threshold for the difference in the rate of change of data are judged and processed. If there is a data point in the data change rate difference at each location inside the agricultural greenhouse that is greater than or equal to the set data change rate difference threshold, the agricultural greenhouse is operating abnormally. The location corresponding to this data is recorded and set as the location of abnormal data change. If there is no data in the data change rate difference at each location inside the agricultural greenhouse that is greater than or equal to the set data change rate difference threshold, the agricultural greenhouse will operate normally.

8. The intelligent management method for agricultural greenhouses based on artificial intelligence according to claim 7, characterized in that, The process of analyzing maintenance costs for locations of abnormal data changes based on the intelligent management terminal, and determining the maintenance costs for these locations, specifically includes the following steps: Based on the intelligent management terminal, the location of abnormal data changes and the three-dimensional rectangular coordinate system of the agricultural greenhouse are matched to determine the coordinate information of the abnormal data change location. Based on the intelligent management terminal, the coordinate information of the location of abnormal data changes is analyzed and processed to determine the maintenance path of the location of abnormal data changes; Based on the intelligent management terminal, the maintenance path for the location of abnormal data changes is analyzed and processed to determine the tools required for maintenance; Based on the intelligent management terminal, the cost of tools required for maintenance is calculated, and the maintenance cost of locations with abnormal data changes is obtained.

9. The intelligent management method for agricultural greenhouses based on artificial intelligence according to claim 8, characterized in that, The process of using an intelligent management terminal to perform data comparison and analysis on locations with abnormal data changes based on maintenance costs, and then selecting whether to repair these locations, specifically includes the following steps: Based on the intelligent management terminal, data matching processing is performed on all monitoring data of the monitoring equipment according to the location of abnormal data changes to determine the real-time operating data of the location of abnormal data changes; Based on the intelligent management terminal, the real-time operating data of the location of abnormal data changes and the set operating data threshold are judged and processed; If the real-time operating data at the location of abnormal data change is greater than or equal to the set operating data threshold, the agricultural greenhouse can operate normally and there is no need to repair the location of abnormal data change. If the real-time operating data at the location of the abnormal data change is less than the set operating data threshold, the agricultural greenhouse cannot operate normally. Based on the intelligent management terminal, the location of the abnormal data change and the maintenance cost of the location of the abnormal data change are sent to the electronic device of the agricultural greenhouse manager.

10. An intelligent management system for agricultural greenhouses based on artificial intelligence, used to implement the intelligent management method for agricultural greenhouses based on artificial intelligence as described in any one of claims 1-9, characterized in that, include: The intelligent management terminal is used to control the data transmission and information interaction between various modules. The intelligent management terminal is also used to control the various modules to perform data analysis, maintenance cost analysis and data comparison on all monitoring data of the monitoring equipment, and to select whether to perform maintenance on the locations of abnormal data changes. A database system is used to store structural drawings of agricultural greenhouses and the locations of all monitoring equipment inside the agricultural greenhouses; The monitoring equipment coordinate determination module constructs a three-dimensional rectangular coordinate system for the agricultural greenhouse based on the structural drawings of the agricultural greenhouse, and performs position matching processing on all monitoring locations inside the agricultural greenhouse and the three-dimensional rectangular coordinate system of the agricultural greenhouse to obtain the position coordinates of all monitoring equipment. The data anomaly location determination module is used to classify, calculate, and compare all monitoring data from the monitoring equipment to determine the location of abnormal data changes. The maintenance cost calculation module is used to perform path planning and tool cost calculation for the location of abnormal data changes, and to determine the maintenance cost of the location of abnormal data changes. The data anomaly location analysis module is used to compare and analyze real-time operational data of data anomaly locations and select whether to repair the data anomaly locations.

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