Greenhouse facility vegetable cultivation mode operation management system based on artificial intelligence

Abstract

The application discloses a greenhouse facility vegetable cultivation mode operation management system based on artificial intelligence, relates to the technical field of cultivation mode operation management, and solves the technical problem that the existing technology cannot monitor vegetable crops according to types, so that intelligent control cannot be performed when the type of a planted crop is replaced in a greenhouse. The application detects the operation risk of a greenhouse facility vegetable cultivation area, prevents the vegetables in the vegetable cultivation area from being unevenly fertilized during the fertilization process, and reduces the production efficiency and the operation management efficiency of the greenhouse facility vegetable cultivation area. The application can also intelligently control the planted crops in the greenhouse facility vegetable cultivation area, improve the planting efficiency of the cultivation area when the type of a planted crop is replaced in the greenhouse facility vegetable cultivation area, avoids the problem that the planting risk increases after the type of a planted crop is replaced, and minimizes the influence of diseases and insect pests.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cultivation mode operation management, in particular to a greenhouse facility vegetable cultivation mode operation management system based on artificial intelligence. BACKGROUND

[0002] Greenhouse vegetables refer to vegetables planted on greenhouses covered with plastic film, and the market season of the vegetables can be artificially controlled. Planting vegetables in greenhouses covered with plastic film is to artificially create a suitable ecological environment, adjust the production season of vegetables, regulate market demand and promote high-quality and high-yield of vegetables, which is one of the effective means to increase farmers' income.

[0003] However, in the prior art, the fertilization during the operation of greenhouse vegetables cannot be analyzed in real time, so that the safety supervision of vegetable planting cannot be carried out, resulting in low operation efficiency of greenhouse vegetables. In addition, the types of vegetable crops cannot be divided, so that intelligent control cannot be carried out when the crops in the greenhouse are replaced, resulting in increased risk of replacing the crop types and easy reduction of crop survival rate.

[0004] In view of the above technical defects, the present operation management system proposes a solution. SUMMARY

[0005] The purpose of the present application is to solve the above-mentioned problems, and to propose a greenhouse facility vegetable cultivation mode operation management system based on artificial intelligence. The soil control and detection of the vegetable cultivation area in the greenhouse facility is carried out, and the soil optimization detection analysis is carried out during the soil optimization process in the vegetable cultivation area. Whether there is a risk in the real-time soil optimization process is judged to prevent the unqualified real-time optimization efficiency from reducing the suitability of the soil, thereby affecting the planting quality of the corresponding vegetables in the vegetable cultivation area. The plowing condition of the vegetable cultivation area is monitored in stages, and whether the plowing soil in the vegetable cultivation area is normal is judged, so as to detect the efficiency of the plowing condition stage.

[0006] The purpose of the present application can be realized by the following technical solutions:

[0007] The greenhouse facility vegetable cultivation mode operation management system based on artificial intelligence comprises a server, and the server is in communication connection with:

[0008] The soil control and detection unit is used for soil control and detection of the vegetable cultivation area in the greenhouse facility, soil division detection of the vegetable cultivation area is carried out, soil optimization control and detection coefficients in the vegetable cultivation area are obtained, soil control and detection qualified signals or soil control and detection unqualified signals are generated according to the soil optimization control and detection coefficients, and the signals are sent to the server;

[0009] The ploughing stage monitoring unit is used for monitoring the ploughing stage of the vegetable cultivation area, and generates a ploughing stage monitoring normal signal or a ploughing stage monitoring abnormal signal through analysis and sends the signal to the server.

[0010] The operation risk detection unit is used for detecting the operation risk of the vegetable cultivation area, divides the vegetable cultivation area into i sub-areas, i is a natural number greater than 1, obtains an operation risk detection coefficient of the vegetable cultivation area, generates an operation high risk signal or an operation low risk signal through analysis according to the operation risk detection coefficient, and sends the signal to the server.

[0011] The operation intelligent control unit is used for intelligently controlling the type of the planted crops in the vegetable cultivation area, divides the type of the planted crops into o types, o is a natural number greater than 1, divides the type of the planted crops into an easy pest damage and difficult control crop, an easy pest damage and easy control crop, a difficult pest damage and difficult control crop, and a difficult pest damage and easy control crop through analysis, and intelligently controls according to the type of the crops.

[0012] As a preferred embodiment of the present application, the operation process of the soil management and control detection unit is as follows:

[0013] The maximum difference of the thickness of the organic fertilizer applied to the soil surface in the vegetable cultivation area in the soil optimization process and the average depth value of the deep ploughing in the vegetable cultivation area after the application of the organic fertilizer are collected; the average duration of the deep ploughing in the same area in the deep ploughing process of the vegetable cultivation area is collected; and the soil optimization management and control detection coefficient in the vegetable cultivation area is obtained through analysis.

[0014] The soil optimization management and control detection coefficient in the vegetable cultivation area is compared with the optimization management and control detection coefficient threshold value: if the soil optimization management and control detection coefficient in the vegetable cultivation area exceeds the optimization management and control detection coefficient threshold value, it is determined that the soil optimization detection in the vegetable cultivation area is qualified, a soil management and control detection qualified signal is generated, and the soil management and control detection qualified signal is sent to the server; if the soil optimization management and control detection coefficient in the vegetable cultivation area does not exceed the optimization management and control detection coefficient threshold value, it is determined that the soil optimization detection in the vegetable cultivation area is unqualified, a soil management and control detection unqualified signal is generated, and the soil management and control detection unqualified signal is sent to the server.

[0015] As a preferred embodiment of the present application, the operation process of the ploughing stage monitoring unit is as follows:

[0016] The interval duration between the starting time of the ploughing stage and the time of the organic fertilizer delivery in the vegetable cultivation area and the ploughing cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering are collected, and they are compared with the interval duration threshold value and the cycle reduction frequency threshold value respectively:

[0017] If the interval length between the starting moment of the tillage stage and the moment of putting the organic fertilizer in the vegetable cultivation area exceeds the interval length threshold, and the tillage cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering exceeds the cycle reduction frequency threshold, it is determined that the tillage stage monitoring in the vegetable cultivation area is normal, a tillage stage monitoring normal signal is generated and sent to the server;

[0018] If the interval length between the starting moment of the tillage stage and the moment of putting the organic fertilizer in the vegetable cultivation area does not exceed the interval length threshold, or the tillage cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering does not exceed the cycle reduction frequency threshold, it is determined that the tillage stage monitoring in the vegetable cultivation area is abnormal, a tillage stage monitoring abnormal signal is generated and sent to the server.

[0019] As a preferred embodiment of the present application, the operation process of the operation risk detection unit is as follows:

[0020] The maximum difference of fertilizer amount at the boundary of adjacent sub-areas in the fertilization process of the vegetable cultivation area and the area proportion of repeated fertilization areas in the sub-area during the fertilization process are collected; the residue cleaning time length of crop replacement type stage in each sub-area of the vegetable cultivation area is collected; and the operation risk detection coefficient in the vegetable cultivation area is obtained by analysis.

[0021] The operation risk detection coefficient in the vegetable cultivation area is compared with the operation risk detection coefficient threshold:

[0022] If the operation risk detection coefficient in the vegetable cultivation area exceeds the operation risk detection coefficient threshold, it is determined that the operation risk detection in the vegetable cultivation area is abnormal, an operation high risk signal is generated and sent to the server; if the operation risk detection coefficient in the vegetable cultivation area does not exceed the operation risk detection coefficient threshold, it is determined that the operation risk detection in the vegetable cultivation area is normal, an operation low risk signal is generated and sent to the server.

[0023] As a preferred embodiment of the present application, the operation process of the operation intelligent control unit is as follows:

[0024] The survival rate reduction amount caused by insect pests in the historical cultivation process of the planted crop type under the premise of meeting the planting demand and the frequency reduction amount after insect pest control in the historical cultivation process are collected and compared with the survival rate reduction threshold and the frequency reduction threshold respectively:

[0025] If the survival rate reduction caused by the pest in the historical cultivation process of the crop type exceeds the survival rate reduction threshold and the reduction of the occurrence frequency after the pest control in the historical cultivation process does not exceed the survival rate reduction threshold, the corresponding planting crop type is marked as a pest-prone and difficult-to-control crop.

[0026] If the survival rate reduction caused by the pest in the historical cultivation process of the crop type exceeds the survival rate reduction threshold and the reduction of the occurrence frequency after the pest control in the historical cultivation process exceeds the survival rate reduction threshold, the corresponding planting crop type is marked as a pest-prone and easy-to-control crop.

[0027] If the survival rate reduction caused by the pest in the historical cultivation process of the crop type does not exceed the survival rate reduction threshold and the reduction of the occurrence frequency after the pest control in the historical cultivation process does not exceed the survival rate reduction threshold, the corresponding planting crop type is marked as a pest-prone and difficult-to-control crop.

[0028] If the survival rate reduction caused by the pest in the historical cultivation process of the crop type does not exceed the survival rate reduction threshold and the reduction of the occurrence frequency after the pest control in the historical cultivation process exceeds the survival rate reduction threshold, the corresponding planting crop type is marked as a pest-prone and easy-to-control crop.

[0029] As a preferred embodiment of the present application, in the vegetable cultivation area, when the current crop type is a pest-prone type, if the crop survival rate meets the preset value, the replaced crop type is set to any type; if the crop survival rate does not meet the preset value, the replaced crop type must be a pest-prone and easy-to-control crop or an easy-to-control crop; when the current crop type is a pest-prone type, if the crop survival rate meets the preset value, the replaced crop type is set to a pest-prone and easy-to-control crop or an easy-to-control crop; if the crop survival rate does not meet the preset value, the replaced crop type must be a pest-prone and easy-to-control crop.

[0030] When the current crop type is an easy-to-control crop, if the crop survival rate meets the preset value, the crop type is set to a pest-prone and easy-to-control crop or a pest-prone and difficult-to-control crop, and if the crop survival rate does not meet the preset value, the crop type is set to a pest-prone and difficult-to-control crop; when the current crop type is a difficult-to-control crop, if the crop survival rate meets the preset value, the crop type is set to any type; if the crop survival rate does not meet the preset value, the crop type is set to a pest-prone and difficult-to-control crop or an easy-to-control crop.

[0031] Compared with the prior art, the present application has the following beneficial effects:

[0032] 1. In this invention, soil control and testing are conducted in the vegetable cultivation area of ​​the greenhouse facility. Soil optimization testing and analysis are performed during the soil optimization process in the vegetable cultivation area to determine whether there are optimization risks in the real-time soil optimization process. This prevents the soil suitability from decreasing due to unqualified real-time optimization efficiency, thereby affecting the planting quality of vegetables in the corresponding vegetable cultivation area. The tillage of the vegetable cultivation area is monitored in stages to determine whether the tillage stage is executed normally. This allows for efficiency testing of the tillage stage, which helps to maximize soil optimization efficiency and avoids the optimization efficiency from decreasing under the same input cost due to unreasonable timing of the tillage stage, thus increasing the cost of soil optimization.

[0033] 2. In this invention, operational risk detection is performed on the vegetable cultivation area to determine whether there are any risks during fertilization. This prevents uneven fertilization of vegetables in the cultivation area, which could reduce planting efficiency and lower the operational management efficiency of the greenhouse facilities. Intelligent control is also implemented for the types of crops planted in the vegetable cultivation area, allowing for changes in planting types to improve planting efficiency while avoiding increased planting risks after such changes. This minimizes the impact of pests and increases the probability of normal cultivation for all types of crops. Attached Figure Description

[0034] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0035] Figure 1 This is a schematic diagram of the operation and management system for greenhouse vegetable cultivation based on artificial intelligence, as described in this invention. Detailed Implementation

[0036] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0038] Please refer to Figure 1 As shown, the greenhouse facility vegetable cultivation mode operation management system based on artificial intelligence comprises a server, the server is in communication connection with a soil management and control detection unit, a plowing stage monitoring unit, an operation risk detection unit and an operation intelligent control unit, wherein the server is in bidirectional communication connection with the soil management and control detection unit, the plowing stage monitoring unit, the operation risk detection unit and the operation intelligent control unit;

[0039] In the process of using the greenhouse facility, the soil of the vegetable cultivation area of the greenhouse equipment is optimized, the server generates a soil management and control detection signal and sends the signal to the soil management and control detection unit. After receiving the soil management and control detection signal, the soil management and control detection unit detects the soil of the vegetable cultivation area of the greenhouse facility. In the process of soil optimization in the vegetable cultivation area, soil optimization detection analysis is carried out to determine whether there is an optimization risk in the real-time soil optimization process, so as to prevent the unqualified real-time optimization efficiency from reducing the suitability of the soil and affecting the planting quality of the vegetables in the corresponding vegetable cultivation area.

[0040] The soil of the vegetable cultivation area is divided and detected, the maximum difference of the thickness of the organic fertilizer applied to the surface of the soil in the vegetable cultivation area during the soil optimization process and the average depth value of the deep plowing in the vegetable cultivation area after the application of the organic fertilizer are collected, and the maximum difference of the thickness of the organic fertilizer applied to the surface of the soil in the vegetable cultivation area during the soil optimization process and the average depth value of the deep plowing in the vegetable cultivation area after the application of the organic fertilizer are marked as HDC and PSD respectively. The average duration of deep plowing in the same area during the deep plowing process of the vegetable cultivation area is collected, and the average duration of deep plowing in the same area during the deep plowing process of the vegetable cultivation area is marked as CSX.

[0041] Through the formula The soil optimization management and control detection coefficient X in the vegetable cultivation area is obtained, wherein hj1, hj2 and hj3 are all preset proportion coefficients, and hj1> hj2> hj3> 0, β is an error correction factor, and the value is 0.956;

[0042] The soil optimization management and control detection coefficient X in the vegetable cultivation area is compared with the optimization management and control detection coefficient threshold value:

[0043] If the soil optimization control detection coefficient X in the vegetable cultivation area exceeds the optimization control detection coefficient threshold value, it is determined that the soil optimization detection in the vegetable cultivation area is qualified, a soil control detection qualified signal is generated and sent to the server; if the soil optimization control detection coefficient X in the vegetable cultivation area does not exceed the optimization control detection coefficient threshold value, it is determined that the soil optimization detection in the vegetable cultivation area is unqualified, a soil control detection unqualified signal is generated and sent to the server, and after the server receives the soil control detection unqualified signal, the soil optimization in the corresponding vegetable cultivation area is re-performed, and the area is not cultivated when the soil parameters before optimization do not reach the vegetable demand parameters;

[0044] After the server receives the soil control detection qualified signal, a plowing stage monitoring signal is generated and sent to the plowing stage monitoring unit. After the plowing stage monitoring unit receives the plowing stage monitoring signal, the plowing stage of the vegetable cultivation area is monitored to determine whether the execution stage of the plowing in the vegetable cultivation area is normal, so as to detect the efficiency of the plowing stage, so as to maximize the soil optimization efficiency, avoid unreasonable timing of the plowing execution stage, and reduce the optimization efficiency under the same input cost, and increase the soil optimization cost;

[0045] The interval time length between the starting time of the plowing stage and the organic fertilizer putting time in the vegetable cultivation area and the plowing cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering are collected, and the interval time length between the starting time of the plowing stage and the organic fertilizer putting time in the vegetable cultivation area and the plowing cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering are compared with the interval time length threshold value and the cycle reduction frequency threshold value respectively:

[0046] It can be understood that after the greenhouse is put into organic fertilizer, the greenhouse is covered with film, which improves the fermentation efficiency of the organic fertilizer, so that the plowing can be performed in real time before the film covering, and the frequency of plowing after the film covering needs to be reduced, so as to ensure the fermentation time of the organic fertilizer and ensure sufficient fermentation;

[0047] If the interval time length between the starting time of the plowing stage and the organic fertilizer putting time in the vegetable cultivation area exceeds the interval time length threshold value, and the plowing cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering exceeds the cycle reduction frequency threshold value, it is determined that the plowing stage monitoring in the vegetable cultivation area is normal, a plowing stage monitoring normal signal is generated and sent to the server;

[0048] If the interval between the start time of the tillage stage and the time of organic fertilizer placement in the vegetable cultivation area does not exceed the interval threshold, or the tillage cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering does not exceed the cycle reduction frequency threshold, it is determined that the tillage stage monitoring in the vegetable cultivation area is abnormal, a tillage stage monitoring abnormal signal is generated and sent to the server; after the server receives the tillage stage monitoring abnormal signal, the tillage execution time in the corresponding vegetable cultivation area is controlled to avoid too early execution, and the tillage frequency is adjusted during the organic fertilizer fermentation stage;

[0049] After the server receives the tillage stage monitoring normal signal, an operation risk detection signal is generated and sent to the operation risk detection unit, and after the operation risk detection unit receives the operation risk detection signal, the operation risk of the vegetable cultivation area is detected to determine whether there is a risk in the fertilization process of the vegetable cultivation area, so as to prevent the uneven fertilization of the vegetables in the vegetable cultivation area during the fertilization process, reduce the planting efficiency of the vegetables in the vegetable cultivation area, and reduce the operation and management efficiency of the greenhouse facility;

[0050] The vegetable cultivation area is divided into i sub-areas, i is a natural number greater than 1, the maximum difference of the fertilization amount of the adjacent sub-area boundary during the fertilization process of the vegetable cultivation area and the area proportion of the repeated fertilization area in the sub-area during the fertilization process are collected, and the maximum difference of the fertilization amount of the adjacent sub-area boundary during the fertilization process of the vegetable cultivation area and the area proportion of the repeated fertilization area in the sub-area during the fertilization process are marked as SFCi and MJZi respectively; the residue cleaning time of each sub-area crop replacement type stage in the vegetable cultivation area is collected, and the residue cleaning time of each sub-area crop replacement type stage in the vegetable cultivation area is marked as QLSi;

[0051] The formula is The operation risk detection coefficient Xi in the vegetable cultivation area is obtained, wherein f1, f2 and f3 are all preset proportion coefficients, and f1>f2>f3>0, and β is an error correction factor with a value of 1.245;

[0052] The operation risk detection coefficient Xi in the vegetable cultivation area is compared with the operation risk detection coefficient threshold value:

[0053] If the operation risk detection coefficient Xi in the vegetable cultivation area exceeds the operation risk detection coefficient threshold value, it is determined that the operation risk detection in the vegetable cultivation area is abnormal, an operation high risk signal is generated and sent to the server, and after the server receives the operation high risk signal, the fertilization of each sub-area in the corresponding vegetable cultivation area is controlled, the area of the overlapped fertilization area is reduced, and the repeated fertilization amount is reduced;

[0054] If the operation risk detection coefficient Xi in the vegetable cultivation area does not exceed the operation risk detection coefficient threshold, it is determined that the operation risk detection in the vegetable cultivation area is normal, an operation low-risk signal is generated, and the operation low-risk signal is sent to the server;

[0055] The server generates an operation intelligent control signal and sends the operation intelligent control signal to the operation intelligent control unit. After receiving the operation intelligent control signal, the operation intelligent control unit intelligently controls the type of crops planted in the vegetable cultivation area, changes the planting type in the vegetable cultivation area, improves the planting efficiency of the vegetable cultivation area, and avoids the phenomenon of increased planting risk after the planting type is changed, thereby minimizing the impact of pests and improving the probability of normal cultivation of various types of crops;

[0056] The planting crop type is divided into o types, o is a natural number greater than 1, the survival rate reduction amount caused by pests in the historical cultivation process of the planting crop type under the premise of meeting the planting demand and the frequency reduction amount after pest control in the historical cultivation process are collected, and the survival rate reduction amount caused by pests in the historical cultivation process of the planting crop type under the premise of meeting the planting demand and the frequency reduction amount after pest control in the historical cultivation process are compared with the survival rate reduction threshold and the frequency reduction threshold, respectively:

[0057] If the survival rate reduction amount caused by pests in the historical cultivation process of the planting crop type under the premise of meeting the planting demand exceeds the survival rate reduction threshold, and the frequency reduction amount after pest control in the historical cultivation process does not exceed the survival rate reduction threshold, the corresponding planting crop type is marked as an easy-to-control crop;

[0058] If the survival rate reduction amount caused by pests in the historical cultivation process of the planting crop type under the premise of meeting the planting demand exceeds the survival rate reduction threshold, and the frequency reduction amount after pest control in the historical cultivation process exceeds the survival rate reduction threshold, the corresponding planting crop type is marked as an easy-to-control crop;

[0059] If the survival rate reduction amount caused by pests in the historical cultivation process of the planting crop type under the premise of meeting the planting demand does not exceed the survival rate reduction threshold, and the frequency reduction amount after pest control in the historical cultivation process does not exceed the survival rate reduction threshold, the corresponding planting crop type is marked as a difficult-to-control crop;

[0060] If the survival rate reduction amount caused by pests in the historical cultivation process of the planting crop type under the premise of meeting the planting demand does not exceed the survival rate reduction threshold, and the frequency reduction amount after pest control in the historical cultivation process exceeds the survival rate reduction threshold, the corresponding planting crop type is marked as a difficult-to-control crop;

[0061] In the vegetable cultivation area, when the current crop type is an easy pest type, if the crop survival rate meets the preset value, the crop type to be replaced is set to any type; if the crop survival rate does not meet the preset value, the crop type to be replaced must be a difficult pest easy-to-control crop or an easy pest easy-to-control crop; when the current crop type is a difficult pest type, if the crop survival rate meets the preset value, the crop type to be replaced is set to a difficult pest easy-to-control crop or an easy pest easy-to-control crop; if the crop survival rate does not meet the preset value, the crop type to be replaced must be a difficult pest easy-to-control crop.

[0062] When the current crop type is an easy-to-control crop, if the crop survival rate meets the preset value, the crop type is set to an easy pest easy-to-control crop or a difficult pest easy-to-control crop, and if the crop survival rate does not meet the preset value, the crop type is set to a difficult pest easy-to-control crop; when the current crop type is a difficult-to-control crop, if the crop survival rate meets the preset value, the crop type is set to any type; if the crop survival rate does not meet the preset value, the crop type is set to a difficult pest easy-to-control crop or an easy pest easy-to-control crop.

[0063] In the intelligent control process of the crop type, the difficult pest easy-to-control crop is selected as a priority, and if there is a planting task and demand, the specific type is selected according to the above process;

[0064] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and the coefficients in the formula are set by a person skilled in the art according to the actual situation;

[0065] In use, the soil control and detection unit detects the soil of the vegetable cultivation area of the greenhouse facility, obtains the soil optimization control and detection coefficient of the vegetable cultivation area, analyzes and generates a soil control and detection qualified signal or a soil control and detection unqualified signal according to the soil optimization control and detection coefficient, and sends it to the server; the plowing stage monitoring unit monitors the plowing of the vegetable cultivation area, analyzes and generates a plowing stage monitoring normal signal or a plowing stage monitoring abnormal signal, and sends it to the server; the operation risk detection unit detects the operation risk of the vegetable cultivation area, obtains the operation risk detection coefficient of the vegetable cultivation area, analyzes and generates an operation high risk signal or an operation low risk signal according to the operation risk detection coefficient, and sends it to the server; the operation intelligent control unit intelligently controls the planting crop type in the vegetable cultivation area, divides the planting crop type into an easy pest difficult-to-control crop, an easy pest easy-to-control crop, a difficult pest difficult-to-control crop and a difficult pest easy-to-control crop, and intelligently controls the crop type.

[0066] The preferred embodiments of the application disclosed above are only to facilitate the elucidation of the application. The preferred embodiments do not describe all the details of the application and limit the application to the specific embodiments. Obviously, many modifications and variations can be made in light of the teachings above. The description is chosen and described in order to provide the best illustration of the application and its practical application to those skilled in the art and to enable those skilled in the art to best utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. An operation management system for a greenhouse facility vegetable cultivation mode based on artificial intelligence, characterized by, The server is communicatively connected with: The soil management and control detection unit is used for dividing and detecting the soil of the vegetable cultivation area of the greenhouse facility, collecting the maximum difference of the thickness of the organic fertilizer applied to the surface of the soil in the soil optimization process of the vegetable cultivation area and the average depth value of deep plowing in the vegetable cultivation area after the application of the organic fertilizer, and collecting the average duration of deep plowing in the same area in the deep plowing process of the vegetable cultivation area; The soil management and control detection coefficient in the vegetable cultivation area is obtained through analysis, and a soil management and control qualified signal or a soil management and control unqualified signal is generated according to the analysis of the optimization coefficient and is sent to the server; The plowing stage monitoring unit is used for monitoring the soil after plowing in the vegetable cultivation area, generating a monitoring normal signal or an abnormal signal through analysis, and sending the signal to the server. The operation process of the plowing stage monitoring unit is as follows: The interval duration between the starting time of the plowing stage and the time of putting the organic fertilizer in the vegetable cultivation area and the plowing cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering are collected, and they are compared with the interval duration threshold and the cycle reduction frequency threshold respectively: If the interval duration between the starting time of the plowing stage and the time of putting the organic fertilizer in the vegetable cultivation area exceeds the interval duration threshold, and the plowing cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering exceeds the cycle reduction frequency threshold, it is determined that the plowing stage monitoring in the vegetable cultivation area is normal, a plowing stage monitoring normal signal is generated, and the plowing stage monitoring normal signal is sent to the server; If the interval duration between the starting time of the plowing stage and the time of putting the organic fertilizer in the vegetable cultivation area does not exceed the interval duration threshold, or the plowing cycle reduction frequency of the vegetable cultivation area in the time period before and after the greenhouse film covering does not exceed the cycle reduction frequency threshold, it is determined that the plowing stage monitoring in the vegetable cultivation area is abnormal, a plowing stage monitoring abnormal signal is generated, and the plowing stage monitoring abnormal signal is sent to the server; The operation risk detection unit is used for detecting the operation risk of the vegetable cultivation area, dividing the vegetable cultivation area into i sub-areas, i being a natural number greater than 1, collecting the maximum difference of the fertilizer amount at the boundary of adjacent sub-areas in the fertilization process of the vegetable cultivation area and the area proportion of the repeated fertilization area in the sub-area in the fertilization process, collecting the residue cleaning duration of each sub-area in the vegetable cultivation area in the crop type replacement stage, obtaining the operation risk detection coefficient in the vegetable cultivation area through analysis, generating an operation high risk signal or an operation low risk signal according to the detection coefficient analysis, and sending the signal to the server; The operation intelligent control unit is used for intelligently controlling the types of crops planted in the vegetable cultivation area, dividing the types of crops planted into o types, o being a natural number greater than 1, dividing the types of crops planted into easy-to-disease and pest control crops, easy-to-disease and pest control crops, difficult-to-disease and pest control crops, and difficult-to-disease and pest control crops through analysis, and intelligently controlling according to the types of crops. 2.The greenhouse facility vegetable cultivation pattern operation management system based on artificial intelligence according to claim 1, characterized in that, The operation process of the soil management and control detection unit is as follows: The soil optimization control detection coefficient in the vegetable cultivation area is compared with the soil optimization control detection coefficient threshold value: if the soil optimization control detection coefficient in the vegetable cultivation area exceeds the soil optimization control detection coefficient threshold value, it is determined that the soil optimization detection in the vegetable cultivation area is qualified, a soil control detection qualified signal is generated, and the soil control detection qualified signal is sent to the server; If the soil optimization control detection coefficient in the vegetable cultivation area does not exceed the soil optimization control detection coefficient threshold value, it is determined that the soil optimization detection in the vegetable cultivation area is unqualified, a soil control detection unqualified signal is generated, and the soil control detection unqualified signal is sent to the server. 3.The greenhouse facility vegetable cultivation pattern operation management system based on artificial intelligence according to claim 1, characterized in that, The operation process of the operation risk detection unit is as follows: The operation risk detection coefficient in the vegetable cultivation area is compared with the operation risk detection coefficient threshold value: If the operation risk detection coefficient in the vegetable cultivation area exceeds the operation risk detection coefficient threshold value, it is determined that the operation risk detection in the vegetable cultivation area is abnormal, an operation high-risk signal is generated, and the operation high-risk signal is sent to the server; If the operation risk detection coefficient in the vegetable cultivation area does not exceed the operation risk detection coefficient threshold value, it is determined that the operation risk detection in the vegetable cultivation area is normal, an operation low-risk signal is generated, and the operation low-risk signal is sent to the server. 4.The greenhouse facility vegetable cultivation pattern operation management system based on artificial intelligence according to claim 1, characterized in that, The operation process of the operation intelligent control unit is as follows: The survival rate reduction amount caused by pests and diseases in the historical cultivation process of the planted crop type under the premise of meeting the planting demand and the frequency reduction amount after pest and disease control in the historical cultivation process are collected, and they are compared with the survival rate reduction amount threshold value and the frequency reduction amount threshold value respectively: If the survival rate reduction amount caused by pests and diseases in the historical cultivation process of the planted crop type under the premise of meeting the planting demand exceeds the survival rate reduction amount threshold value, and the frequency reduction amount after pest and disease control in the historical cultivation process does not exceed the survival rate reduction amount threshold value, the corresponding planted crop type is marked as a difficult-to-control crop susceptible to pests and diseases; If the survival rate reduction amount caused by pests and diseases in the historical cultivation process of the planted crop type under the premise of meeting the planting demand exceeds the survival rate reduction amount threshold value, and the frequency reduction amount after pest and disease control in the historical cultivation process exceeds the survival rate reduction amount threshold value, the corresponding planted crop type is marked as an easy-to-control crop susceptible to pests and diseases; If the survival rate reduction amount caused by pests and diseases in the historical cultivation process of the planted crop type under the premise of meeting the planting demand does not exceed the survival rate reduction amount threshold value, and the frequency reduction amount after pest and disease control in the historical cultivation process does not exceed the survival rate reduction amount threshold value, the corresponding planted crop type is marked as a difficult-to-control crop resistant to pests and diseases; If the survival rate reduction amount caused by pests and diseases in the historical cultivation process of the planted crop type under the premise of meeting the planting demand does not exceed the survival rate reduction amount threshold value, and the frequency reduction amount after pest and disease control in the historical cultivation process exceeds the survival rate reduction amount threshold value, the corresponding planted crop type is marked as an easy-to-control crop resistant to pests and diseases. 5.The greenhouse facility vegetable cultivation pattern operation management system based on artificial intelligence according to claim 4, characterized in that, In the vegetable cultivation area, when the current crop type is a disease and pest prone type, if the crop survival rate meets the preset value, the crop type to be replaced is set to any type; if the crop survival rate does not meet the preset value, the crop type to be replaced must be a disease and pest prone type or a pest prone type; when the current crop type is a disease and pest resistant type, if the crop survival rate meets the preset value, the crop type to be replaced is set to a disease and pest resistant type or a pest resistant type; if the crop survival rate does not meet the preset value, the crop type to be replaced must be a disease and pest resistant type; When the current crop type is a controllable crop, if the crop survival rate meets the preset value, the crop type is set to a disease and pest resistant type or a disease and pest resistant type; if the crop survival rate does not meet the preset value, the crop type is set to a disease and pest resistant type; when the current crop type is a non-controllable crop, if the crop survival rate meets the preset value, the crop type is set to any type; if the crop survival rate does not meet the preset value, the crop type is set to a disease and pest resistant type or a disease and pest resistant type.

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