Control system of garlic unmanned seeder

Abstract

The invention provides a control system of an unmanned garlic seeder, and relates to the technical field of seeder-free machines. Comprising a data acquisition module, a power management module, a central control module, a driving execution module, a seeding execution module and a transmission adjustment module. The data acquisition module is used for acquiring seeding data in real time; the power management module is used for acquiring real-time power data; the central control module obtains a control instruction according to the seeding data and the real-time power supply data; the driving execution module and the seeding execution module control the unmanned seeder to perform seeding operation according to the control instruction; the transmission adjusting module monitors the moving speed and seeding parameters of the seeding machine in real time, dynamically adjusts the transmission ratio between the motor and the seeding unit, and ensures the stability and consistency of the seeding quality. According to the invention, through cooperative operation among the modules, uneven seeding caused by speed mismatching is effectively avoided, the seeding quality and the seeding efficiency are improved, the adaptability and the reliability are enhanced, and the labor cost is greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned seeders, and particularly to a control system for an unmanned garlic seeder. Background Art

[0002] The development of unmanned seeders is inseparable from the rapid progress of intelligent agricultural technologies in recent years. With the wide application of emerging technologies such as artificial intelligence, the Internet of Things, and robotics, agricultural production is undergoing a profound digital transformation.

[0003] Existing unmanned seeders cannot achieve ideal seeding quality in terms of seed dropping accuracy, soil covering depth control, etc. Due to insufficient monitoring of seeding environment parameters, it is difficult to adjust seeding parameters in a timely manner, and problems such as missed seeding and repeated seeding are likely to occur, affecting seeding uniformity and emergence rate. Fixed operating parameters cannot adapt to complex and changeable field environments, easily resulting in low operating efficiency. At the same time, the lack of intelligent decision-making algorithms makes it difficult to comprehensively analyze the operating status and make optimal decisions, restricting the improvement of the overall operating efficiency. Most unmanned seeders have weak adaptability to the operating environment and are difficult to cope with complex and diverse field conditions, easily resulting in operation interruptions or failures. Summary of the Invention

[0004] The present invention provides a control system for an unmanned garlic seeder to solve the defects in the prior art.

[0005] The present invention provides a control system for an unmanned garlic seeder, including:

[0006] A data acquisition module for real-time acquisition of seeding data, where the seeding data includes environmental data and seeding parameters.

[0007] A power management module for providing a stable power output and performing real-time monitoring of the power supply to obtain real-time power data.

[0008] A data processing module for preprocessing the environmental data, seeding parameters, and real-time power data to obtain preprocessed data.

[0009] A central control module for constructing a control model based on a support vector machine, inputting the preprocessed data, and outputting control instructions.

[0010] A drive execution module, including a motor drive unit, where the motor drive unit is used to control the moving speed of the seeder according to the control instructions.

[0011] A seeding execution module, including a rotary seeding unit, where the rotary seeding unit is used to sow garlic into the soil according to preset seeding parameters.

[0012] A transmission adjustment module for adjusting the transmission ratio between the motor drive unit and the seeding unit according to the moving speed and seeding parameters.

[0013] A wireless communication module for realizing wireless data transmission between the unmanned seeding machine and the remote control terminal.

[0014] A data storage module for recording the working data of the seeding machine in real time.

[0015] According to a control system for an unmanned garlic seeding machine provided by the present invention, the environmental data includes the real-time position data, seeding path data and soil humidity data of the seeding machine. The seeding parameters include seeding spacing data and seeding depth data.

[0016] According to a control system for an unmanned garlic seeding machine provided by the present invention, the power management module includes a power monitoring unit, a discharge control unit and a power warning unit. The power monitoring unit is used to monitor the power supply in real time to obtain real-time power data, and the real-time power data includes the real-time discharge power, real-time discharge voltage and remaining power of the power supply. The discharge control unit is used to control the power supply to provide stable power and voltage outputs. The power warning unit is used to provide a warning signal when the power of the power supply is insufficient.

[0017] According to a control system for an unmanned garlic seeding machine provided by the present invention, the data processing module includes a data acquisition interface unit, a data processing unit, a feature extraction unit and a data fusion unit. The data acquisition interface unit is used to receive environmental data, seeding parameters and real-time power data. The data processing unit is used to perform standardization processing on the environmental data, seeding parameters and real-time power data to obtain standardized data. The feature extraction unit is used to extract key features from the standardized data, and the key features include environmental features, seeding parameter features and power features. The data fusion unit is used to fuse the key features into comprehensive data by the fuzzy mathematical method as preprocessed data.

[0018] According to a control system for an unmanned garlic seeding machine provided by the present invention, the process of constructing a control model based on a support vector machine includes:

[0019] Collect historical seeding data and historical power data. The historical seeding data includes historical environmental data and historical seeding parameters, and historical environmental features, historical seeding parameter features and historical power features are extracted from the historical seeding data.

[0020] Construct a basic model based on a support vector machine, take the historical environmental features, historical seeding parameter features and historical power features as inputs and the historical control instructions as outputs, train the basic model, retain the model parameters that meet the test accuracy, and obtain the control model.

[0021] Input the preprocessed data into the control model to obtain the control instructions for the current seeding data.

[0022] According to a control system for a garlic unmanned seeding machine provided by the present invention, the driving execution module further includes a steering control unit and a suspension unit. The steering control unit is used to adjust the traveling direction of the seeding machine according to the control instruction. The suspension unit is used to adjust the suspension height of the seeding machine to adapt to different terrain conditions.

[0023] According to a control system for a garlic unmanned seeding machine provided by the present invention, the seeding execution module further includes a seed bin, a seed transmission unit, and a soil covering unit. The seed bin is used to store the garlic seeds to be sown. The seed transmission unit is used to transfer the garlic seeds from the seed bin to the rotary seeding unit. The soil covering unit is used to cover the garlic seeds with soil after sowing the seeds.

[0024] According to a control system for a garlic unmanned seeding machine provided by the present invention, the transmission adjustment module includes a parameter acquisition unit, a transmission ratio adjustment unit, and a real-time feedback unit. The parameter receiving unit is used to acquire the moving speed and seeding parameters of the seeding machine. The transmission ratio calculation unit is used to adjust the transmission ratio between the motor driving unit and the rotary seeding unit according to the moving speed of the seeding machine and the preset seeding parameters. The real-time feedback unit is used to monitor the seeding depth data and seeding spacing data of the rotary seeding unit in real time.

[0025] According to a control system for a garlic unmanned seeding machine provided by the present invention, the wireless communication module includes a wireless communication unit and a protocol conversion unit. The wireless communication unit is used to realize the wireless data transmission between the seeding machine and the remote control terminal through wireless communication technology. The protocol conversion unit is used to convert the wireless data into the communication protocol format.

[0026] According to a control system for a garlic unmanned seeding machine provided by the present invention, the data storage module includes a data recording unit, a data storage unit, and a data query unit. The data recording unit is used to record the working data of the seeding machine in real time, and the working data includes position coordinates, moving speed, seeding depth, seeding spacing, and real-time power consumption data. The data storage unit uses an SD card to save the working data in real time. The data query unit is used to provide the user with the functions of querying historical working data and real-time working data.

[0027] A control system for a garlic unmanned seeding machine provided by the present invention provides a rich information basis for subsequent data processing and decision-making by real-time monitoring of key data such as seeding environmental conditions, seeding parameters, and power supply status. Through multiple monitoring and control means, it ensures that the seeding machine always maintains a stable and reliable power supply, and at the same time can give a real-time warning of the power supply, avoiding operation interruption caused by power problems. By adopting a control model based on the support vector machine algorithm, it can accurately convert the comprehensive decision-making data into optimal control instructions. It can dynamically adjust the control strategy according to the changes in the operation environment, and also greatly improves the accuracy and reliability of decision-making, thus significantly reducing the probability of system failures and enhancing the stability. In the execution link, including the drive module and the seeding execution module, it can accurately control parameters such as the moving speed and steering of the seeding machine according to the precise instructions of the central control module, ensuring the efficiency and stability of seeding. Among them, the drive module can adapt to complex terrains, improving the overall operation adaptability; the seeding execution module realizes the precise placement and soil covering of garlic seeds, greatly improving the seeding quality and operation efficiency, and at the same time reducing the labor cost. The transmission adjustment module can monitor the moving speed and seeding parameters of the seeding machine in real time, and dynamically adjust the transmission ratio between the motor and the seeding unit to ensure the stability and consistency of seeding quality. It effectively avoids uneven seeding caused by speed mismatch, improves the seeding quality and seeding efficiency, and enhances the adaptability and reliability, greatly reducing the labor cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0029] Figure 1 FIG. is a schematic structural diagram of a control system for a garlic unmanned seeding machine provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0031] The following will describe Figure 1 a control system for a garlic unmanned seeding machine of the present invention.

[0032] Figure 1 It is a schematic structural diagram of a control system for a garlic unmanned seeding machine provided by an embodiment of the present invention.

[0033] As Figure 1 shown, a control system for a garlic unmanned seeding machine provided by an embodiment of the present invention includes a data acquisition module, a power management module, a data processing module, a central control module, a driving execution module, a seeding execution module, a transmission adjustment module, a communication module, and a data storage module.

[0034] The data acquisition module is used to collect seeding data in real time, and the seeding data includes environmental data and seeding parameters.

[0035] The environmental data includes the real-time position data of the seeding machine, the seeding path data, and the soil humidity data; the seeding parameters include the seeding spacing data and the seeding depth data.

[0036] In this embodiment, this module is equipped with various sensors to collect environmental data and seeding parameters during the seeding process in real time. The collected data will be sorted and encoded and then transmitted to the data processing module. By comprehensively obtaining the seeding environment and operation parameters, it provides a reliable basis for subsequent data analysis and control decisions. It can monitor the seeding status in real time, detect abnormal situations in time, and improve the operation quality and safety.

[0037] The power management module is used to provide a stable power output and monitor the power supply in real time to obtain real-time power data.

[0038] The power management module includes a power monitoring unit, a discharge control unit, and a power warning unit; the power monitoring unit is used to monitor the power supply in real time to obtain real-time power data, and the real-time power data includes the real-time discharge power, the real-time discharge voltage, and the remaining power of the power supply; the discharge control unit is used to control the power supply to provide a stable power and voltage output; the power warning unit is used to provide a warning signal when the power of the power supply is insufficient.

[0039] In this embodiment, the power monitoring unit is responsible for monitoring the power supply of the system in real time and obtaining key power status data, including the real-time discharge power: recording the remaining power of the power supply currently to provide a basis for subsequent discharge control. The real-time discharge voltage: monitoring the output voltage of the power supply to ensure that the voltage is stable within the normal working range. The remaining power: calculating the total remaining power of the power supply to provide data support for the power warning unit.

[0040] The discharge control unit dynamically adjusts the power discharge process according to the real-time data provided by the power monitoring unit to ensure a stable and reliable power output for the system. Specifically, it includes power and voltage regulation: real-time monitoring of current and voltage fluctuations, adjusting the current and voltage outputs during the discharge process to maintain them within a safe and stable range. Load balancing: coordinating the power consumption demands among different electrical devices, balancing the load distribution, and avoiding power failures caused by local overloads. Temperature control: monitoring the operating temperature of the power supply and taking cooling or heat dissipation measures when necessary to prevent performance degradation or damage caused by overheating.

[0041] The power quantity warning unit continuously tracks the remaining power of the power supply. When the power quantity is lower than the preset threshold, it will promptly send out a warning signal. The warning information can be transmitted to the remote monitoring end through the wireless communication module to remind the user to replace or charge the power supply in time, avoiding system interruption due to power exhaustion.

[0042] The power monitoring unit can obtain the key status parameters of the power supply in real time, providing reliable data support for subsequent discharge control and power quantity warning. It not only ensures the stability of the power output but also provides an important basis for monitoring the overall health status of the system. The discharge control unit adopts an active adjustment strategy based on the real-time power supply data to effectively maintain the power supply operating in an optimal state. It can automatically balance the load demands of different electrical devices and take into account the temperature control of the power supply, significantly improving the power utilization efficiency and service life. The power quantity warning unit can promptly detect the situation of insufficient power of the power supply and trigger the warning mechanism to notify the user to charge or replace. At the same time, it can also actively adjust the system power consumption to extend the power supply endurance time. It helps to avoid system interruption due to power exhaustion, improving the overall reliability and stability. Through the comprehensive monitoring and intelligent management of the power supply status, it not only ensures the stable power supply of the system but also maximizes the optimization of the power utilization efficiency. It not only reduces the overall energy consumption cost but also conforms to the current development trend of energy conservation and environmental protection, making due contributions to sustainable development. The power quantity warning information can be transmitted to the remote monitoring end through wireless communication, enabling the user to grasp the power supply status in real time and take corresponding measures promptly. It greatly improves the manageability and maintainability of the system and enhances the user's operation experience.

[0043] The data processing module is used to preprocess the environmental data, sowing parameters, and real-time power supply data to obtain the preprocessed data.

[0044] The data processing module includes a data acquisition interface unit, a data processing unit, a feature extraction unit, and a data fusion unit; the data acquisition interface unit is used to receive environmental data, seeding parameters, and real-time power data; the data processing unit is used to perform standardization processing on the environmental data, seeding parameters, and real-time power data to obtain standardized data; the feature extraction unit is used to extract key features from the standardized data, and the key features include environmental features, seeding parameter features, and power features; the data fusion unit is used to fuse the key features into comprehensive data through the fuzzy mathematical method as preprocessed data.

[0045] In this embodiment, the module preprocesses the collected environmental data, seeding parameters, and power data, including operations such as data cleaning and standardization, to obtain preprocessed data, providing reliable input for subsequent control decisions. It eliminates the dimensional differences between data, extracts key feature indicators, and lays a foundation for establishing a control model. It ensures the accuracy and reliability of the data and improves the scientific nature of control decisions.

[0046] The central control module is used to construct a control model based on a support vector machine, input the preprocessed data, and output control instructions.

[0047] The process of constructing a control model based on a support vector machine includes:

[0048] Collect historical seeding data and historical power data. The historical seeding data includes historical environmental data and historical seeding parameters, and extract historical environmental features, historical seeding parameter features, and historical power features from the historical seeding data;

[0049] Construct a basic model based on a support vector machine, use the historical environmental features, historical seeding parameter features, and historical power features as inputs, and the historical control instructions as outputs, train the basic model, retain the model parameters that meet the test accuracy, and obtain the control model;

[0050] Input the preprocessed data into the control model to obtain the control instructions for the current seeding data.

[0051] In this embodiment, the central control module adopts an advanced support vector machine algorithm, which can learn the mapping relationship between complex environment-operation-power status and control instructions from a large amount of historical data. The data-driven intelligent control method is more intelligent and efficient than the traditional experience-based control strategy. The control model based on the support vector machine has good generalization ability and noise resistance, and can accurately predict the current optimal control instructions. It not only ensures the consistency of seeding quality, but also can maximize the seeding efficiency and meet the requirements of refined management. This module can receive the preprocessed data in real time and quickly generate corresponding control instructions. It is beneficial to cope with the complex and changeable operation environment, ensure that the seeder can make appropriate adjustments quickly, and improve the real-time performance and reliability of the overall system.

[0052] The drive execution module is used to control the moving speed and traveling direction of the seeder according to the control instructions.

[0053] The drive execution module includes a motor drive unit, a steering control unit and a suspension unit; the motor drive unit is used to control the moving speed of the seeder according to the control instructions; the steering control unit is used to adjust the traveling direction of the seeder according to the control instructions; the suspension unit is used to adjust the suspension height of the seeder to adapt to different terrain conditions.

[0054] In this embodiment, the motor drive unit precisely controls the drive motor of the seeder according to the speed control instruction sent by the central control module. Specifically, it includes: receiving the speed control parameters from the central control module, such as the target traveling speed. Driving the motor through a power amplification circuit to adjust the actual moving speed of the seeder. Adopting closed-loop feedback control to detect the motor speed in real time and compare it with the target speed to ensure the accuracy of speed control. Through precise speed control, it can ensure that the seeder completes the sowing operation at the optimal moving speed, improving work efficiency. The steering control unit controls the steering mechanism of the seeder according to the direction control instruction sent by the central control module. Its working process includes: receiving the steering angle parameters from the central control module, such as turning left, turning right, or keeping straight. Driving the steering mechanism through a steering driver to change the traveling direction of the seeder. Using a direction sensor for closed-loop feedback to ensure that the steering angle is consistent with the target. Precise steering control enables the seeder to travel along a predetermined trajectory, avoiding deviation from the target operation area and further improving operation efficiency. The suspension unit is used to adjust the suspension height of the seeder to adapt to different terrain conditions. Its working process includes: monitoring the ground undulation, such as potholes, obstacles, etc. Driving the suspension actuator for real-time adjustment according to the suspension height instruction of the central control module. Ensuring that the suspension height of the seeder always remains within the optimal operation range. Good suspension height control can not only protect the seeder from terrain collisions, but also contribute to the consistency of sowing quality, avoiding uneven seed burial depth caused by terrain changes. These three units work together to jointly complete the precise control of the moving speed, steering, and suspension height of the seeder, ensuring the high efficiency and stability of the sowing operation, avoiding the uncertainty and limitations of manual operation, and improving the automation level.

[0055] The sowing execution module includes a rotary sowing unit, which is used to sow garlic into the soil.

[0056] The sowing execution module also includes a seed bin, a seed transmission unit, and a soil covering unit; the seed bin is used to store the garlic seeds to be sown; the seed transmission unit is used to transfer the garlic seeds from the seed bin to the rotary sowing unit; the soil covering unit is used to cover the garlic seeds with soil after sowing.

[0057] In this embodiment, the module first includes a seed bin for storing garlic seeds to be sown. The seed transmission unit is responsible for extracting seeds from the seed bin and transporting them to the rotary seeding unit. The specific workflow includes: The seed bin adopts an automatic replenishment mechanism to keep the seed reserve within an appropriate range. The seed transmission unit includes a belt conveyor or a screw conveyor, etc. According to the instructions of the central control module, it transports the seeds from the bin to the seeding unit according to the required amount. During the transmission process, sensors will monitor the seed flow in real time to ensure the continuity and stability of the seed supply. The rotary seeding unit is the core component of the entire seeding execution module and is responsible for precisely sowing garlic seeds into the soil. This unit includes a rotary seeding disk with several seeding openings on its surface. The seeding disk rotates at a preset speed, driving the seeding openings to sow seeds in sequence. The seeding openings can be controlled to open and close to accurately drop each seed, ensuring the consistency of seed spacing and seeding depth. During the seeding process, sensors will monitor the landing situation of the seeds and feedback to the central control module to optimize the seeding parameters. After the garlic seeds are sown into the soil, the soil covering unit will immediately cover the seeds to protect them from external interference and create a good growth environment for them. The soil covering unit is used to control the soil covering mechanism (such as rake teeth, drums, etc.) to cover the soil surface after seeding. The soil covering thickness can be adjusted in real time according to different working environments to ensure that the seeds are buried at an appropriate depth. Sensors will detect the soil covering quality and feedback to the central control module to optimize the soil covering effect. The three units work together to complete the full-process control from seed storage to seeding and soil covering, ensuring that garlic seeds are sown into the soil with high quality.

[0058] The transmission adjustment module is used to adjust the transmission ratio between the motor drive unit and the seeding unit according to the moving speed and seeding parameters.

[0059] The transmission adjustment module includes a parameter acquisition unit, a transmission ratio adjustment unit, and a real-time feedback unit; the parameter receiving unit is used to acquire the moving speed and seeding parameters of the seeder; the transmission ratio calculation unit is used to adjust the transmission ratio between the motor drive unit and the rotary seeding unit according to the moving speed of the seeder and the preset seeding parameters; the real-time feedback unit is used to monitor the seeding depth data and seeding spacing data of the rotary seeding unit in real time.

[0060] In this embodiment, the parameter acquisition unit is responsible for acquiring the moving speed and seeding parameters of the seeder in real time, providing a basis for subsequent transmission ratio adjustment. Specifically, it includes receiving real-time moving speed data from the drive execution module. Obtaining preset target seeding parameters, such as seeding depth, seed spacing, etc. And transmitting the above data to the transmission ratio adjustment unit for processing and calculation.

[0061] The transmission ratio adjustment unit dynamically adjusts the transmission ratio between the motor drive unit and the rotary seeding unit according to the obtained seeder speed and target seeding parameters to ensure seeding quality. It includes: calculating the ideal transmission ratio based on the moving speed and seeding parameters to make the actual seeding effect of the rotary seeding unit consistent with the target. Adjusting the transmission ratio between the motor and the seeding unit through a transmission mechanism (such as a gearbox, track drive, etc.). After performing the transmission ratio adjustment, immediately feedback to the central control module for monitoring and optimization.

[0062] The real-time feedback unit is used to monitor the actual seeding effect of the rotary seeding unit in real time and provide a basis for subsequent transmission ratio adjustment. It includes: using sensors to detect key parameters such as seeding depth and seed spacing in real time. Feeding the monitoring data back to the central control module for comparing with the target seeding parameters, detecting deviations and triggering transmission ratio adjustment. Through closed-loop feedback control, continuously optimize the transmission ratio to ensure that the seeding quality is always maintained in the best state. The three units work together to dynamically adjust the transmission ratio between the motor and the seeding unit to ensure that the seeder can accurately complete the seeding operation according to the preset seeding parameters under various working environments and moving speeds.

[0063] The wireless communication module is used to realize wireless data transmission between the unmanned seeder and the remote control terminal.

[0064] The wireless communication module includes a wireless communication unit and a protocol conversion unit; the wireless communication unit is used to realize wireless data transmission between the seeder and the remote control terminal through wireless communication technology; the protocol conversion unit is used to convert the wireless data into a communication protocol format.

[0065] In this embodiment, the module is based on wireless technologies such as Wi-Fi or Bluetooth to realize two-way data transmission between the seeder and the remote control terminal. Convert the data of each module into a standard communication protocol and transmit it to the remote end safely and reliably. Remotely monitor and control the seeding operation, improving work efficiency and operation flexibility. Users can grasp the operation status in real time, make decision adjustments in time, and improve the overall operation management level.

[0066] The data storage module is used to record the working data of the seeder in real time.

[0067] The data storage module includes a data recording unit, a data storage unit, and a data query unit; the data recording unit is used to record the working data of the seeder in real time, and the working data includes position coordinates, moving speed, seeding depth, seeding spacing, and real-time power consumption data; the data storage unit uses an SD card to save the working data in real time; the data query unit is used to provide users with functions for querying historical working data and real-time working data.

[0068] In this embodiment, the module records various working data of the seeder in real time, including environmental conditions, operation parameters, power supply conditions, operating status, etc., providing a basis for subsequent data analysis and system optimization. Establishing a complete operation data file is conducive to analyzing problems in the sowing process and optimizing control strategies, providing support for intelligent management and continuous improvement, and enhancing the reliability and maintainability of the system.

[0069] In summary, this embodiment provides a control system for a garlic unmanned seeder. By means of a sensor array, it can monitor key data such as sowing environmental conditions, sowing parameters, and power supply status in real time, providing a rich information basis for subsequent data processing and decision-making. Multiple monitoring and control means are adopted to ensure that the seeder always maintains a stable and reliable power supply. The power monitoring unit can detect the battery power and voltage status in real time, and the discharge control unit dynamically adjusts the output according to the power consumption demand to maintain the best power operation status. The power warning unit can also give a real-time warning of insufficient power supply to avoid operation interruption. By using advanced data fusion technology, information such as original environmental data, sowing parameters, and power supply status is standardized and key features are extracted, and then fused into comprehensive decision-making data. This not only improves the data utilization efficiency but also enhances the decision-making support ability, enabling the central control module to make optimal decisions based on more comprehensive and accurate information. A control model based on the support vector machine algorithm is adopted, which can accurately convert the comprehensive decision-making data into optimal control instructions. This control model not only has excellent adaptive learning ability and can dynamically adjust control strategies according to changes in the operation environment, but also greatly improves the accuracy and reliability of decision-making, thus significantly reducing the system failure probability and enhancing stability. In the execution link, including the drive module and the sowing execution module, it can accurately control parameters such as the moving speed and steering of the seeder according to the precise instructions of the central control module, ensuring the high efficiency and stability of sowing. Among them, the drive module can adapt to complex terrains, improving the overall operation adaptability; the sowing execution module realizes the precise placement and covering of garlic seeds, greatly improving the sowing quality and operation efficiency, and at the same time reducing the labor cost. The transmission adjustment module can monitor the moving speed and sowing parameters of the seeder in real time and dynamically adjust the transmission ratio between the motor and the sowing unit to ensure the stability and consistency of sowing quality, effectively avoiding uneven sowing caused by speed mismatch and improving the overall operation efficiency. Generally speaking, this control system for a garlic unmanned seeder integrates multiple advanced technologies. Through the deep cooperation of each functional module, it provides comprehensive intelligent support for garlic unmanned sowing operations, not only significantly improving the sowing quality and sowing efficiency, enhancing the adaptability and reliability, but also greatly reducing the labor cost.

[0070] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative work.

[0071] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control system for an unmanned garlic planter, characterized in that: include: A data collection module, used for collecting sowing data in real time, wherein the sowing data includes environmental data and sowing parameters; The power management module is used to provide stable power output and monitor the power supply in real time to obtain real-time power supply data; A data processing module, used for preprocessing the environmental data, the sowing parameters and the real-time power supply data to obtain preprocessed data; A central control module, used for constructing a control model based on a support vector machine, inputting the preprocessed data, and outputting control instructions; A driving execution module, comprising a motor driving unit, wherein the motor driving unit is used to control the moving speed of the seed drill according to the control instruction; A sowing execution module, comprising a rotary sowing unit, wherein the rotary sowing unit is used to sow garlic into the soil according to preset sowing parameters; A transmission adjustment module, used for adjusting the transmission ratio between the motor drive unit and the rotary sowing unit according to the moving speed and the sowing parameters; Wireless communication module, used to realize wireless data transmission between the unmanned seed drill and the remote control terminal; The data storage module is used to record the working data of the seeder in real time.

2. A garlic unmanned planter control system according to claim 1, characterized in that: The environmental data includes the real-time position data of the seeder, the sowing path data and the soil moisture data; the sowing parameters include the sowing spacing data and the sowing depth data.

3. A garlic unmanned planter control system according to claim 1, characterized in that: The power management module includes a power monitoring unit, a discharge control unit and a power warning unit; the power monitoring unit is used to monitor the power supply in real time to obtain real-time power data, and the real-time power data includes the real-time discharge power, real-time discharge voltage and remaining power of the power supply; the discharge control unit is used to control the power supply to provide stable power and voltage output; the power warning unit is used to provide a warning signal when the power supply is insufficient.

4. The control system of an unmanned garlic planter according to claim 1, characterized in that: The data processing module includes a data acquisition interface unit, a data processing unit, a feature extraction unit and a data fusion unit; the data acquisition interface unit is used to receive the environmental data, the sowing parameters and the real-time power supply data; the data processing unit is used to perform standardization processing on the environmental data, the sowing parameters and the real-time power supply data to obtain standardized data; the feature extraction unit is used to extract key features from the standardized data, and the key features include environmental features, sowing parameter features and power supply features; The data fusion unit is used to fuse the key features into comprehensive data as preprocessing data through fuzzy mathematical method.

5. The control system of an unmanned garlic planter according to claim 1, characterized in that: The process of building a control model based on support vector machines includes: Collecting historical seeding data and historical power supply data, wherein the historical seeding data includes historical environment data and historical seeding parameters, and extracting historical environment features, historical seeding parameter features and historical power supply features from the historical seeding data; Constructing a basic model based on a support vector machine, taking the historical environmental characteristics, historical sowing parameter characteristics and historical power characteristics as inputs and historical control instructions as outputs, training the basic model, retaining model parameters that meet the test accuracy, and obtaining a control model; The pre-processed data is input into a control model to obtain control instructions for current sowing data.

6. The control system of an unmanned garlic planter according to claim 1, characterized in that: The driving execution module also includes a steering control unit and a suspension unit; the steering control unit is used to adjust the travel direction of the seeder according to the control instructions; the suspension unit is used to adjust the suspension height of the seeder to adapt to different terrain conditions.

7. The control system of an unmanned garlic planter according to claim 1, characterized in that: The sowing execution module also includes a seed bin, a seed transmission unit and a soil covering unit; the seed bin is used to store garlic seeds for sowing; the seed transmission unit is used to transmit the garlic seeds from the seed bin to the rotary sowing unit; the soil covering unit is used to cover the garlic seeds with soil after the seeds are spread and sown.

8. The control system of an unmanned garlic planter according to claim 1, characterized in that: The transmission adjustment module includes a parameter acquisition unit, a transmission ratio adjustment unit and a real-time feedback unit; the parameter receiving unit is used to obtain the moving speed and sowing parameters of the seeder; the transmission ratio calculation unit is used to adjust the transmission ratio between the motor drive unit and the rotary sowing unit according to the moving speed of the seeder and the preset sowing parameters; The real-time feedback unit is used to monitor the sowing depth data and sowing spacing data of the rotary sowing unit in real time.

9. The control system of an unmanned garlic planter according to claim 1, characterized in that: The wireless communication module includes a wireless communication unit and a protocol conversion unit; the wireless communication unit is used to realize wireless data transmission between the planter and the remote control terminal through wireless communication technology; the protocol conversion unit is used to convert the wireless data into a communication protocol format.

10. The control system of an unmanned garlic planter according to claim 1, characterized in that: The data storage module includes a data recording unit, a data storage unit and a data query unit; the data recording unit is used to record the working data of the seeder in real time, and the working data includes position coordinates, moving speed, sowing depth, sowing spacing and real-time power consumption data; the data storage unit uses an SD card to save the working data in real time; the data query unit is used to provide users with historical working data query and real-time working data query functions.

Images