A modern agricultural digital management and control platform based on the Internet of Things and big data

Abstract

The present invention discloses a modern agricultural digital control platform based on the Internet of Things and big data, including a digital control module, wherein the digital control module is respectively connected to a subordinate equipment control unit and a data collection processing unit; the subordinate equipment control unit includes a mobile terminal registration unit, an equipment digital storage library and an equipment display unit; the data collection processing unit includes a data collection platform, a twin display processing unit and an autonomous control setting unit; the autonomous control setting unit includes an independent variable selection unit, a first logic control module, an independent variable value setting / modification unit, a pre-determination unit, a dependent variable selection unit, a second logic control module and a dependent variable value setting / modification unit. The modern agricultural digital control platform based on the Internet of Things and big data of the present invention can independently establish a control mode according to control requirements, and can optimize the control mode online, has strong versatility, and is simple and convenient to expand and update agricultural equipment.

Description

Technical Field

[0001] The present invention specifically relates to a modern agricultural digital management and control platform based on the Internet of Things and big data, and belongs to the technical field of data processing. Background Art

[0002] The modern agricultural digital management and control platform is a comprehensive platform that integrates advanced technology and agricultural management. This platform uses modern information technology, such as the Internet of Things, artificial intelligence, big data analysis and other technical means to achieve accurate management and efficient operation of the entire agricultural production process, aiming to promote the intelligent, efficient and green development of agricultural production. It is a key component in the construction of digital villages. After the existing agricultural digital management and control platform is completed, it is impossible to add management and control equipment and modify the management and control methods according to the actual situation or crop needs. In addition, the existing agricultural management and control platform generally only targets one link or one area, such as China Patent Publication No.: CN107678470A, which discloses a The infiltration irrigation system control platform adopts the Internet of Things technology, which can not only complete the real-time high-precision measurement of the infiltration irrigation system parameters, but also realize the intelligent control and alarm prompts of environmental temperature and humidity adjustment, irrigation, etc. For example, the Chinese patent authorization announcement number: CN114740930B discloses a smart control platform system and control processing method for greenhouses, which compares the real-time environmental parameters with the system environmental parameters to determine whether the real-time environmental parameters are within the range of the system environmental parameters; according to the real-time growth stage of the crops, the environmental parameters are adjusted to meet the common needs of crops at different growth stages; however, the above-mentioned control platforms are all single-function control, do not have the ability to expand the control function, and have poor overall versatility. Summary of the invention

[0003] To solve the above problems, the present invention proposes a modern agricultural digital management and control platform based on the Internet of Things and big data, which can independently establish management and control methods according to management and control needs, and can optimize the management and control methods online. It has strong versatility and is simple and convenient to expand and update agricultural equipment.

[0004] The modern agricultural digital management and control platform based on the Internet of Things and big data of the present invention comprises a digital management and control module, wherein the digital management and control module is respectively connected to a subordinate equipment management and control unit and a data collection and processing unit; the subordinate equipment management and control unit comprises:

[0005] A mobile terminal registration unit, which completes the registration of the mobile terminal into the warehouse, and the registered mobile terminal obtains the permission to access the digital control module; the mobile terminal takes pictures, scans codes, senses tags, has a soft keyboard, and receives remote tasks in an IoT all-in-one machine;

[0006] Equipment digital repository, the data in the equipment digital repository is uploaded through a mobile terminal; the equipment digital repository stores all fixed equipment information and mobile equipment information in the management and control domain, the fixed equipment information includes equipment serial number / identifier, plot / shed number, specific location, function selection / addition; the mobile equipment information includes equipment serial number / identifier, function selection / addition;

[0007] An equipment display unit, the equipment display unit includes a plot / shed number display module and an equipment statistics unit. The plot / shed number display module displays the specific locations of all fixed equipment and the real-time locations of mobile equipment under a certain plot or shed number in real time. The equipment statistics unit outputs the number and type of equipment corresponding to a certain function.

[0008] The data collection and processing unit includes a data collection platform, which traverses the device digital storage library to obtain the device serial number / identifier, and establishes a storage area for each device serial number / identifier. The data collection and processing unit is communicatively connected to the fixed device or the mobile device; the data collection platform collects the data transmitted to the digital management and control module by the fixed device or the mobile device, and classifies the data. When classifying, the data objects are distinguished according to the device serial number / identifier corresponding to the data, and the data are stored in the corresponding storage area in sequence according to the time sequence; the device serial number or identifier is a unique code for the data collection and processing unit to identify the fixed device or the mobile device, and the code is the device code or the unique communication IP address code of the fixed device or the mobile device.

[0009] A twin display processing unit, wherein the twin display processing unit uses the device serial number / identifier as an index, links the storage area with the device display unit, and feeds back the data in the storage area to the specific position corresponding to the device display unit; the data is displayed by triggering or directly displayed at the corresponding point of the plot / shed number display module; the twin display processing unit can display the plot or greenhouse, and the crops on the plot or greenhouse in real time, and update the specific position of the fixed equipment at the corresponding position on the plot or greenhouse or the mobile device entering the plot or greenhouse in real time. When displaying, the functional symbols of the fixed equipment or mobile device are displayed, and the real-time collection data or the controlled status of the equipment are updated by triggering or directly marking the subscript of the functional symbol in real time.

[0010] An autonomous control setting unit, the autonomous control setting unit includes an independent variable selection unit, a first logic control module, an independent variable value setting / modification unit, a pre-determination unit, a dependent variable selection unit, a second logic control module, a dependent variable value setting / modification unit and a post-determination unit.

[0011] Furthermore, when the autonomous control setting unit is working, the device digital storage library is called, and then, one or more fixed devices under a certain plot / shed number are selected or one or more mobile devices are selected through the independent variable selection unit; when the independent variable selection unit selects one object, the first logic control module cannot be triggered, and when the independent variable selection unit selects multiple objects, a logical relationship between the variables is established through the first logic control module, such as the fixed device is a soil moisture monitoring device and an air humidity monitoring device, and the two fixed devices are in an "or" logical relationship, that is, when either the soil moisture monitoring device or the air humidity monitoring device reaches the threshold, the independent variable triggers the dependent variable, and the dependent variable is the irrigation spray device; for another example, the soil moisture monitoring device and the light monitoring device (temperature monitoring device) are in an "and" logical relationship, that is, only when the soil moisture monitoring device and the light monitoring device (temperature monitoring device or clock device) reach the lower limit synchronously, the dependent variable will be triggered, that is, the irrigation spray device can only be triggered in the evening, at night or early morning; for another example, the soil moisture monitoring device and the fertilizer or spraying timing device are in a "not" logical relationship, that is, when either the soil moisture monitoring device and the fertilizer or spraying timing device reaches the threshold, the dependent variable will be triggered. When one of them reaches the threshold, the other does not act, and the time interval between the triggering of the dependent variable by the two needs to be set; the autonomous control setting unit determines whether it is a digital quantity or an analog quantity according to the type of the selected fixed device or mobile device. When the output of the selected fixed device or mobile device is an analog quantity, the threshold is set by the independent variable value setting / modification unit below the selected fixed device or mobile device. When its output is a digital quantity, the independent variable value setting / modification unit cannot be triggered; then, the independent variable setting is completed through the pre-determination unit, and jumps to the dependent variable selection unit. The working process of the dependent variable selection unit is consistent with the setting process of the independent variable selection unit, and the setting method of the second logic control module is consistent with that of the first logic control module; the setting method of the dependent variable value setting / modification unit is consistent with that of the independent variable value setting / modification unit; finally, a set of autonomous control logic settings is completed through the post-determination unit. After completing all the autonomous control logic settings, a logic report that can be triggered and modified online is generated, and the autonomous control setting unit backs up the logic report and updates it to the data collection processing unit; after the logic report is increased, decreased or modified, the autonomous control setting unit backs up the logic report itself, obtains the next trigger application, and automatically updates it to the data collection processing unit at the same time.

[0012] Furthermore, the threshold item of the independent variable of the logic report or the threshold item of the dependent variable is connected to the threshold online update unit; the threshold online update unit is connected to the threshold control setting unit; the threshold control setting unit has a built-in logic operation tool; the threshold control setting unit can call the device digital repository and the logic operation tool according to the needs to build a logic operation model for threshold control, such as online adjustment of the soil moisture threshold. When the threshold control setting unit is set, the fixed device or mobile device associated with a certain plot / shed number in the device digital repository is called to obtain the current soil moisture, soil moisture lower limit, future rainfall, rainfall probability and average daily water evaporation, etc. After obtaining the average daily water evaporation, the current soil moisture and the soil moisture lower limit, the logic operation tool is called to build a soil moisture threshold model, specifically: the difference operation in the logic operation tool is called to calculate the difference between the current soil moisture and the soil moisture lower limit, and then The mean operation is performed to obtain the soil safe humidity maintenance time, and the time value length is compared through the logic operation tool. When the distance to rainfall is less than the soil safe humidity maintenance time, it is determined that there is rainfall within the soil safe humidity maintenance time. Then, the threshold comparison of the logic operation tool is called to compare the rainfall and rainfall probability with the set value respectively. When there is rainfall and the rainfall probability reaches the set value, the threshold control setting unit outputs the soil moisture lower limit value as the threshold item of the logic report independent variable. When one of the rainfall time, rainfall and rainfall probability cannot meet the requirements, the threshold control setting unit has no output, and the threshold item of the logic report is not updated, completing the establishment of the soil moisture threshold online adjustment model; wherein, the spraying time can also be obtained. When the soil maintains a safe humidity time, the soil maintains a safe humidity time and the set time value is automatically increased, and then the time length is compared with the distance to rainfall time.

[0013] Furthermore, the threshold online update unit is also connected to the online optimization unit; the online optimization unit includes a natural condition evaluation unit, a growth scoring unit, a harvest scoring unit and an input generation evaluation unit. All plots or greenhouses are grouped by the natural condition evaluation unit, and multiple groups are set according to the annual precipitation and light intensity. The plots or greenhouses within the same threshold segment are divided into the same group, and then the plots or greenhouses in the same group are calculated. The input generation evaluation unit counts the agricultural input consumption of each plot / greenhouse respectively. When counting the agricultural input consumption, it can be converted into cost consumption, such as pesticide consumption costs, irrigation consumption costs (electricity + water costs), fertilizer consumption costs and labor costs, etc. The agricultural input consumption of each plot / greenhouse can be apportioned and refined to the smallest unit, such as the agricultural input consumption cost of a certain refined area, and then The consumption of agricultural materials is normalized, and then the scores are scored and calculated in the early growth stage and the harvest stage in turn. The scores are between 0 and 1. The growth score is subtracted from the input score to obtain the early growth score; the harvest score is subtracted from the input score to obtain the harvest score; during the growth period, the highest early growth score in the same group is selected as the optimization reference item, and during the harvest period, the highest harvest score in the same group is selected as the optimization reference item; then, the threshold trigger time node corresponding to the optimization reference item is obtained, and then the threshold online update unit optimizes and updates the thresholds of other plots or greenhouses in the same group. During the optimization update, the threshold trigger time node corresponding to the optimization reference item is used as the benchmark, and the extreme values ​​of other plots or greenhouses to be optimized before the time node are traversed and selected, and the extreme value is used as the update threshold to update the logic report.

[0014] Furthermore, the plot / shed number and specific location are obtained by entering into a mobile terminal or reading an electronic tag or QR code established at the specific location of the plot or greenhouse; when the mobile terminal records the fixed equipment, the location information of the fixed equipment is obtained through an electronic tag or QR code, or directly registered by manual entry; the real-time location of the mobile device is obtained by a locator or code scanning unit equipped on the mobile device; during the mobile operation of the mobile device, real-time positioning is performed through the locator, or the location is directly obtained by passing by the electronic tag or QR code of the specific location of the side plot or greenhouse, and the real-time location is uploaded to the data collection platform.

[0015] Furthermore, it also includes an Internet of Things switching device, and the fixed device or mobile device that does not have the networking function is connected to the communication interface of the Internet of Things switching device, and data reception and forwarding are completed through the Internet of Things switching device; when the mobile terminal uploads the Internet of Things switching device to the device digital storage library, the upload format is the switching device serial number / identifier, port number, plot / shed number, specific location, function selection / addition; through the Internet of Things switching device as a data forwarding unit, the fixed device or mobile device can be uploaded for filing. When uploading for filing, the port definition can be directly performed according to the port to which the fixed device or mobile device is connected. When the Internet of Things switching device packages the data and forwards it to the data collection and processing unit, the data collection and processing unit parses the data, and can classify and store the data according to the switching device serial number / identifier and port number.

[0016] Furthermore, the digital control module is also connected to an in-depth analysis module. The analysis data of the in-depth analysis module is obtained by intermittent polling through the storage area corresponding to the data collection platform, with an interval period of 2 to 5 days. After the in-depth analysis module obtains the image from the storage area, it is input into the disease recognition model. After the disease recognition model completes learning through the disease recognition library, it completes autonomous recognition and re-stores the confirmed image into the enriched disease recognition library. When the disease recognition model is learning, the image sample data in the disease recognition library is used as input and the disease feature is used as output. The filter weight value in the neural network is changed through the gradient descent algorithm to minimize the detection difference between the output and the sample data. Finally, the trained disease recognition model is obtained. Identification model, when the disease recognition model outputs that there is a disease, it determines whether the storage area had a disease last time. If not, an alarm is directly issued. If so, and the type of disease is different, an alarm is directly issued. If the type of disease is the same as last time, a signal is issued to confirm whether the disease is processed. After obtaining the alarm signal, the corresponding treatment method is generated synchronously, and the mobile device or fixed equipment is manually triggered to spray and eliminate pests. For example, an alarm signal for leaf spot disease is issued, and a treatment method for leaf spot disease is generated synchronously (a method for preparing liquid for leaf spot disease is generated). After manual confirmation, the automatic liquid preparation system completes the liquid preparation for leaf spot disease, or directly extracts the liquid preparation pump in the corresponding liquid preparation tank and sends it to the spray system (fixed equipment) or spray vehicle; and automatic spraying and pest elimination is performed within the set period.

[0017] Compared with the prior art, the modern agricultural digital management and control platform based on the Internet of Things and big data of the present invention can establish independent variables and dependent variables according to management and control needs, and establish logical associations between independent variables and logical associations between dependent variables, and independent variables trigger dependent variable actions, thereby realizing the construction of autonomous management and control methods for management and control objects, and being able to optimize the management and control methods online, with strong versatility and simple and convenient expansion and updating of agricultural equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the overall structure of the modern agricultural digital management and control platform of the present invention.

[0019] Figure 2 Schematic diagram of the workflow of the autonomous control setting unit of the present invention.

[0020] Figure 3 A schematic diagram of the structure of a threshold value online update unit and a threshold value control setting unit configured for the modern agricultural digital management and control platform of the present invention.

[0021] Figure 4 A schematic diagram of the structure of an online threshold update unit and an online optimization unit configured for the modern agricultural digital management and control platform of the present invention.

[0022] Figure 5 It is a schematic diagram of the working process of the online optimization unit of the present invention.

[0023] Figure 6 Schematic diagram of the in-depth analysis module workflow of the present invention. DETAILED DESCRIPTION

[0024] Example:

[0025] like Figures 1 to 6 The modern agricultural digital management and control platform based on the Internet of Things and big data shown includes a digital management and control module, which is respectively connected to a subordinate equipment management and control unit and a data collection and processing unit; the subordinate equipment management and control unit includes:

[0026] A mobile terminal registration unit, which completes the registration of the mobile terminal into the warehouse, and the registered mobile terminal obtains the permission to access the digital control module; the mobile terminal takes pictures, scans codes, senses tags, has a soft keyboard, and receives remote tasks in an IoT all-in-one machine;

[0027] Equipment digital repository, the data in the equipment digital repository is uploaded through a mobile terminal; the equipment digital repository stores all fixed equipment information and mobile equipment information in the management and control domain, the fixed equipment information includes equipment serial number / identifier, plot / shed number, specific location, function selection / addition; the mobile equipment information includes equipment serial number / identifier, function selection / addition;

[0028] An equipment display unit, the equipment display unit includes a plot / shed number display module and an equipment statistics unit. The plot / shed number display module displays the specific locations of all fixed equipment and the real-time locations of mobile equipment under a certain plot or shed number in real time. The equipment statistics unit outputs the number and type of equipment corresponding to a certain function.

[0029] The data collection and processing unit includes a data collection platform, which traverses the device digital storage library to obtain the device serial number / identifier, and establishes a storage area for each device serial number / identifier. The data collection and processing unit is communicatively connected to the fixed device or the mobile device; the data collection platform collects the data transmitted to the digital management and control module by the fixed device or the mobile device, and classifies the data. When classifying, the data objects are distinguished according to the device serial number / identifier corresponding to the data, and the data are stored in the corresponding storage area in sequence according to the time sequence; the device serial number or identifier is a unique code for the data collection and processing unit to identify the fixed device or the mobile device, and the code is the device code or the unique communication IP address code of the fixed device or the mobile device.

[0030] A twin display processing unit, wherein the twin display processing unit uses the device serial number / identifier as an index, links the storage area with the device display unit, and feeds back the data in the storage area to the specific position corresponding to the device display unit; the data is displayed by triggering or directly displayed at the corresponding point of the plot / shed number display module; the twin display processing unit can display the plot or greenhouse, and the crops on the plot or greenhouse in real time, and update the specific position of the fixed equipment at the corresponding position on the plot or greenhouse or the mobile device entering the plot or greenhouse in real time. When displaying, the functional symbols of the fixed equipment or mobile device are displayed, and the real-time collection data or the controlled status of the equipment are updated by triggering or directly marking the subscript of the functional symbol in real time.

[0031] An autonomous control setting unit, the autonomous control setting unit includes an independent variable selection unit, a first logic control module, an independent variable value setting / modification unit, a pre-determination unit, a dependent variable selection unit, a second logic control module, a dependent variable value setting / modification unit and a post-determination unit.

[0032] When the autonomous control setting unit is working, the device digital storage library is called, and then one or more fixed devices under a certain plot / shed number are selected or one or more mobile devices are selected through the independent variable selection unit; when the independent variable selection unit selects one object, the first logic control module cannot be triggered, and when the independent variable selection unit selects multiple objects, the first logic control module establishes a logical relationship between the variables, such as the fixed device is a soil moisture monitoring device and an air humidity monitoring device, and the two fixed devices are in an "or" logical relationship, that is, when either the soil moisture monitoring device or the air humidity monitoring device reaches the threshold, the independent variable triggers the dependent variable, and the dependent variable is the irrigation spray device. For example, the soil moisture monitoring device and the light monitoring device (temperature monitoring device) are in an "and" logical relationship, that is, only when the soil moisture monitoring device and the light monitoring device (temperature monitoring device or clock device) reach the lower limit synchronously, the dependent variable will be triggered, that is, the irrigation spray device can only be triggered in the evening, at night or early morning; for example, the soil moisture monitoring device and the fertilizer or spraying timing device are in a "not" logical relationship, that is, either the soil moisture monitoring device and the fertilizer or spraying timing device reach the threshold. When one of them is in motion, the other does not act. The time interval between the triggering dependent variables of the two needs to be set. The autonomous control setting unit determines whether it is a digital quantity or an analog quantity according to the type of the selected fixed device or mobile device. When the output of the selected fixed device or mobile device is an analog quantity, the threshold is set by the independent variable value setting / modification unit below the selected fixed device or mobile device. When its output is a digital quantity, the independent variable value setting / modification unit cannot be triggered. Then, the independent variable setting is completed through the pre-determination unit, and jumps to the dependent variable selection unit. The working process of the dependent variable selection unit is consistent with the setting process of the independent variable selection unit, and the setting method of the second logic control module is consistent with that of the first logic control module; the dependent variable value setting / modification unit is consistent with that of the independent variable value setting / modification unit; finally, a group of autonomous control logic settings are completed through the post-determination unit. After completing all the autonomous control logic settings, a logic report that can be triggered and modified online is generated. The autonomous control setting unit backs up the logic report and updates it to the data collection processing unit. After the logic report is increased, decreased or modified, the autonomous control setting unit backs up the logic report itself, obtains the next trigger application, and automatically updates it to the data collection processing unit.

[0033] The threshold item of the independent variable or the threshold item of the dependent variable of the logic report is connected to the threshold online update unit; the threshold online update unit is connected to the threshold control setting unit; the threshold control setting unit has a built-in logic operation tool; the threshold control setting unit can call the device digital repository and the logic operation tool according to the needs to build a logic operation model for threshold control, such as online adjustment of the soil moisture threshold. When the threshold control setting unit is set, the fixed device or mobile device associated with a certain plot / shed number in the device digital repository is called to obtain the current soil moisture, the lower limit of soil moisture, future rainfall, rainfall probability and average daily water evaporation, etc. After obtaining the average daily water evaporation, the current soil moisture and the lower limit of soil moisture, the logic operation tool is called to build a soil moisture threshold model, specifically: the difference operation in the logic operation tool is called to average the difference between the current soil moisture and the lower limit of soil moisture The value operation is performed to obtain the soil safe humidity maintenance time, and the time value length is compared through the logic operation tool. When the distance to rainfall is less than the soil safe humidity maintenance time, it is determined that there is rainfall within the soil safe humidity maintenance time. Then, the threshold comparison of the logic operation tool is called to compare the rainfall and rainfall probability with the set value respectively. When there is rainfall and the rainfall probability reaches the set value, the threshold control setting unit outputs the soil moisture lower limit value as the threshold item of the logic report independent variable. When one of the rainfall time, rainfall and rainfall probability cannot meet the requirements, the threshold control setting unit has no output, and the threshold item of the logic report is not updated, completing the establishment of the soil moisture threshold online adjustment model; wherein, the spraying time can also be obtained. When the soil maintains a safe humidity time, the soil maintains a safe humidity time and the set time value is automatically increased, and then the time length is compared with the distance to rainfall time.

[0034] The threshold online updating unit is also connected to the online optimization unit; the online optimization unit includes a natural condition evaluation unit, a growth scoring unit, a harvest scoring unit and an input generation evaluation unit. All plots or greenhouses are grouped by the natural condition evaluation unit, and multiple groups are set according to the annual precipitation and light intensity. The plots or greenhouses within the same threshold segment are divided into the same group. Then, the plots or greenhouses in the same group are calculated. The input generation evaluation unit counts the agricultural input consumption of each plot / greenhouse respectively. When counting the agricultural input consumption, it can be converted into cost consumption, such as pesticide consumption costs, irrigation consumption costs (electricity costs + water costs), fertilizer consumption costs and labor costs, etc. The agricultural input consumption of each plot / greenhouse can be apportioned and refined to the smallest unit, such as the agricultural input consumption cost of a certain refined area, and then the agricultural input consumption is calculated. The resource consumption is normalized, and then, it is scored and calculated in the early growth stage and the harvest stage in turn. The scoring values ​​are between 0 and 1. The growth score is subtracted from the input score to obtain the early growth score; the harvest score is subtracted from the input to obtain the harvest score; during the growth period, the highest early growth score in the same group is selected as the optimization reference item, and during the harvest period, the highest harvest score in the same group is selected as the optimization reference item; then, the threshold trigger time node corresponding to the optimization reference item is obtained, and then the threshold online update unit optimizes and updates the thresholds of other plots or greenhouses in the same group. During the optimization update, the threshold trigger time node corresponding to the optimization reference item is used as the benchmark, and the extreme values ​​of other plots or greenhouses to be optimized before the time node are traversed and selected, and the extreme value is used as the update threshold to update the logic report.

[0035] The plot / shed number and specific location are obtained by entering into a mobile terminal or by reading an electronic tag or QR code established at the specific location of the plot or greenhouse; when the mobile terminal records the fixed equipment, the location information of the fixed equipment is obtained through an electronic tag or QR code, or directly registered by manual entry; the real-time location of the mobile device is obtained by a locator or code scanning unit equipped on the mobile device; during the mobile operation of the mobile device, real-time positioning is performed through the locator, or the location is directly obtained by the electronic tag or QR code of the specific location of the plot or greenhouse passing by, and the real-time location is uploaded to the data collection platform.

[0036] It also includes an Internet of Things switching device. The fixed device or mobile device that does not have an Internet connection function is connected to the communication interface of the Internet of Things switching device, and data reception and forwarding are completed through the Internet of Things switching device. When the mobile terminal uploads the Internet of Things switching device to the device digital storage library, the upload format is the switching device serial number / identifier, port number, plot / shed number, specific location, function selection / addition; the Internet of Things switching device is used as a data forwarding unit, so that the fixed device or mobile device can be uploaded for filing. When uploading for filing, the port definition can be directly performed according to the port to which the fixed device or mobile device is connected. When the Internet of Things switching device packages the data and forwards it to the data collection and processing unit, the data collection and processing unit parses the data and can classify the data into the storage according to the switching device serial number / identifier and port number.

[0037] The digital control module is also connected to an in-depth analysis module. The analysis data of the in-depth analysis module is obtained by intermittent polling through the storage area corresponding to the data collection platform, with an interval period of 2 to 5 days. After the in-depth analysis module obtains the image from the storage area, it is input into the disease recognition model. After the disease recognition model completes learning through the disease recognition library, it completes autonomous recognition and re-stores the confirmed image into the enriched disease recognition library. When the disease recognition model is learned, the image sample data in the disease recognition library is used as input and the disease feature is used as output. The filter weight value in the neural network is changed through the gradient descent algorithm to minimize the detection difference between the output and the sample data. Finally, the training is performed to obtain the trained disease recognition model. When the disease recognition model outputs that there is a disease, it determines whether the storage area had a disease last time. If not, an alarm is directly issued. If there is a disease and the type of disease is different, an alarm is directly issued. If the type of disease is the same as last time, a signal is issued to confirm whether the disease is processed. After obtaining the alarm signal, the corresponding processing method is generated synchronously, and the mobile device or fixed device is manually triggered to spray and eliminate pests. For example, an alarm signal for leaf spot disease is issued, and a processing method for leaf spot disease is generated synchronously (a method for preparing liquid for leaf spot disease is generated). After manual confirmation, the automatic liquid preparation system completes the liquid preparation for leaf spot disease, or directly extracts the liquid in the corresponding liquid preparation tank and pumps it to the spray system (fixed equipment) or spray vehicle; and automatic spraying and pest elimination is performed within the set period.

[0038] The above embodiments are only preferred implementations of the present invention, so any equivalent changes or modifications made according to the structures, features and principles described in the scope of application of the present invention are included in the scope of application of the present invention.

Claims

1. A modern agricultural digital management and control platform based on the Internet of Things and big data, characterized by: It includes a digital control module, which is respectively connected to the subordinate equipment control unit and the data collection and processing unit in communication; The subordinate equipment control units include: A mobile terminal registration unit, which completes the registration of the mobile terminal into the warehouse, and the registered mobile terminal obtains the permission to access the digital control module; the mobile terminal takes pictures, scans codes, senses tags, has a soft keyboard, and receives remote tasks in an IoT all-in-one machine; Equipment digital repository, the data in the equipment digital repository is uploaded through a mobile terminal; the equipment digital repository stores all fixed equipment information and mobile equipment information in the management and control domain, the fixed equipment information includes equipment serial number / identifier, plot / shed number, specific location, function selection / addition; the mobile equipment information includes equipment serial number / identifier, function selection / addition; An equipment display unit, the equipment display unit includes a plot / shed number display module and an equipment statistics unit. The plot / shed number display module displays the specific locations of all fixed equipment and the real-time locations of mobile equipment under a certain plot or shed number in real time. The equipment statistics unit outputs the number and type of equipment corresponding to a certain function. The data collection processing unit includes a data collection platform, the data collection platform traverses the device digital storage library to obtain the device serial number / identifier, and establishes a storage area for each device serial number / identifier, the data collection processing unit is communicatively connected to the fixed device or the mobile device; the data collection platform collects the data transmitted to the digital control module by the fixed device or the mobile device, and classifies the data. When classifying, the data objects are distinguished according to the device serial number / identifier corresponding to the data, and the data are sequentially stored in the corresponding storage area according to the time sequence; A twin display processing unit, which uses the device serial number / identifier as an index, links the storage area with the device display unit, and feeds back the data in the storage area to the specific location corresponding to the device display unit; the data is displayed by triggering or directly displayed at the corresponding point of the plot / shed number display module; An autonomous control setting unit, the autonomous control setting unit comprising an independent variable selection unit, a first logic control module, an independent variable value setting / modification unit, a pre-determination unit, a dependent variable selection unit, a second logic control module, a dependent variable value setting / modification unit and a post-determination unit; When the autonomous control setting unit is working, it calls the equipment digital storage library, and then selects one or more fixed devices under a certain plot / shed number or selects one or more mobile devices through the independent variable selection unit; when the independent variable selection unit selects one object, the first logic control module cannot be triggered, and when the independent variable selection unit selects multiple objects, a logical relationship between variables is established through the first logic control module, and the autonomous control setting unit determines whether the selected fixed device or mobile device is a digital quantity or an analog quantity according to the type of the selected fixed device or mobile device. When the output of the selected fixed device or mobile device is an analog quantity, a threshold is set by the independent variable value setting / modification unit below the selected fixed device or mobile device, and when its output is a digital quantity, the independent variable value setting / modification unit Unable to trigger; then, complete the independent variable setting through the front determination unit, and jump to the dependent variable selection unit. The working process of the dependent variable selection unit is consistent with the setting process of the independent variable selection unit, and the setting method of the second logic control module is consistent with the first logic control module; the setting method of the dependent variable value setting / modification unit is consistent with the setting method of the independent variable value setting / modification unit; finally, complete a set of autonomous control logic settings through the rear determination unit. After completing all the autonomous control logic settings, a logic report that can be triggered and modified online is generated. The autonomous control setting unit backs up the logic report and updates it to the data collection processing unit; after the logic report is increased, decreased or modified, the autonomous control setting unit backs up the logic report itself, obtains the next trigger application, and automatically updates it to the data collection processing unit at the same time; The threshold item of the independent variable or the threshold item of the dependent variable of the logic report is connected to the threshold online update unit; the threshold online update unit is connected to the threshold control setting unit; the threshold control setting unit has a built-in logic operation tool; the threshold online update unit is also connected to the online optimization unit; the online optimization unit includes a natural condition evaluation unit, a growth scoring unit, a harvest scoring unit and an input generation evaluation unit. All plots or greenhouses are grouped by the natural condition evaluation unit, and multiple groups are set according to the annual precipitation and light intensity. The plots or greenhouses within the same threshold segment are divided into the same group, and then the plots or greenhouses in the same group are calculated. The input generation evaluation unit counts the agricultural input consumption of each plot / greenhouse respectively, and then normalizes the agricultural input consumption. Processing, then, scoring and calculation are performed in the early growth stage and the harvest stage in turn, with the scoring values ​​ranging from 0 to 1, and the growth score is subtracted from the input score to obtain the early growth score; the harvest score is subtracted from the input to obtain the harvest score; during the growth period, the highest early growth score in the same group is selected as the optimization reference item, and during the harvest period, the highest harvest score in the same group is selected as the optimization reference item; then, the threshold trigger time node corresponding to the optimization reference item is obtained, and then the threshold online update unit optimizes and updates the thresholds of other plots or greenhouses in the same group. During the optimization update, the threshold trigger time node corresponding to the optimization reference item is used as the benchmark, and the extreme values ​​of other plots or greenhouses to be optimized before the time node are traversed and selected, and the extreme value is used as the update threshold to update the logic report.

2. The modern agricultural digital management and control platform based on the Internet of Things and big data according to claim 1 is characterized by: The plot / shed number and specific location are obtained by entering into a mobile terminal or reading an electronic tag or QR code established at the specific location of the plot or shed; the real-time location of the mobile device is obtained by a locator or code scanning unit equipped on the mobile device.

3. The modern agricultural digital management and control platform based on the Internet of Things and big data according to claim 1 is characterized by: It also includes an Internet of Things switching device. The fixed device or mobile device that does not have an Internet connection function is connected to the communication interface of the Internet of Things switching device, and data reception and forwarding are completed through the Internet of Things switching device; when the mobile terminal uploads the Internet of Things switching device to the device digital storage library, the upload format is the switching device serial number / identifier, port number, plot / shed number, specific location, function selection / addition.

4. The modern agricultural digital management and control platform based on the Internet of Things and big data according to claim 1 is characterized by: The digital control module is also connected to an in-depth analysis module. The analysis data of the in-depth analysis module is obtained by intermittent polling through the storage area corresponding to the data collection platform, with an interval period of 2 to 5 days. After the in-depth analysis module obtains the image from the storage area, it is input into the disease recognition model. After the disease recognition model completes learning through the disease recognition library, it completes autonomous recognition and re-stores the confirmed image into the enriched disease recognition library; when the disease recognition model outputs that there is a disease, it determines whether the storage area had a disease last time. If not, an alarm is directly issued. If so, and the type of disease is different, an alarm is directly issued. If the type of disease is the same as the last time, a signal is issued to confirm whether the disease is processed; when the alarm signal is obtained, the corresponding processing method is synchronously generated, and spraying and pest control are carried out by manually triggering the mobile device or fixed equipment.

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