Cloud management and control system and management and control method for sweet potato storage and transportation

Abstract

A cloud management and control system for sweet potato storage and transportation and a management and control method belong to the technical field of intelligent agriculture, and the system comprises an environment detection module, a quality monitoring module, a data transmission and synchronization module and a remote control and fault diagnosis module, and can monitor environmental parameters such as temperature, humidity, oxygen concentration and carbon dioxide concentration in a compartment in real time. The optimal environmental condition required by sweet potato storage can be maintained, so that the metabolic process of sweet potatoes is effectively delayed, and decay and quality reduction are avoided. Through intelligent monitoring and remote control, comprehensive protection of sweet potatoes is realized, and the efficiency and quality maintenance capability in the transportation and storage process are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart agriculture, and relates to a sweet potato storage and transportation cloud management and control system and method, and specifically to a sweet potato storage and transportation cloud management and control system and method with all-round storage environment monitoring, automated quality monitoring, real-time control of environmental parameters, and intelligent fault diagnosis. Background Art

[0002] As one of the important cash crops, sweet potatoes have high nutritional and economic value. However, since sweet potatoes are easily affected by environmental factors such as temperature, humidity, and gas concentration after harvest, they are prone to mechanical damage, rot, or quality degradation during transportation and storage. This not only affects the edible quality of sweet potatoes, but also causes great economic losses.

[0003] Existing sweet potato transportation and storage technologies usually take some simple measures, such as controlling temperature and humidity to slow down the spoilage process of sweet potatoes. However, these technologies have the following major problems: (1) Single environmental monitoring: Traditional environmental monitoring only monitors the temperature and humidity in the compartment, but lacks detection of other important parameters, such as oxygen and carbon dioxide concentrations, which are crucial in the storage process of sweet potatoes; (2) Quality monitoring relies on manual inspection, which is inefficient and has limited detection accuracy. It is difficult to monitor the status of sweet potatoes in real time, which can easily lead to quality degradation without being discovered in time; (3) Lack of remote control and data transmission. The existing sweet potato transportation and storage systems are usually closed local systems that lack remote control and real-time data transmission functions. Users cannot view and adjust the conditions in the carriage at any time, which increases management costs. (4) Insufficient fault monitoring and maintenance. In the existing technology, equipment fault monitoring and maintenance mostly rely on manual operation and lack automatic diagnosis function. When equipment fails, it is often not discovered in time, resulting in a decline in sweet potato quality. Summary of the invention

[0004] In view of the problems existing in the above-mentioned prior art, the present invention proposes a cloud management and control system and method for sweet potato storage and utilization. The entire system includes an environmental detection module, a quality monitoring module, a data transmission and synchronization module, and a remote control and fault diagnosis module. Through intelligent monitoring and remote control, all-round protection of sweet potatoes can be achieved, and the efficiency and quality maintenance capabilities during transportation and storage can be improved.

[0005] The sweet potato storage and utilization cloud management and control system provided in this application adopts the following technical solutions: A cloud management and control system for sweet potato storage and transportation, including a storage and transportation carriage; characterized in that the cloud management and control system includes: The environmental detection module includes multiple sensors installed in the storage and transportation compartment, which are used to detect environmental parameters in real time. The sensors sense changes in the surrounding environment through chemical principles and output data in the form of digital signals; The quality monitoring module collects sweet potato image data through the image acquisition unit and analyzes it in combination with the deep learning algorithm. It uses the color change and surface texture of the sweet potato image to detect surface damage, rot, lesions and other quality problems of the sweet potato. Data transmission and synchronization module, which transmits the data collected by sensors and cameras to the cloud platform in real time through wireless communication technology; Remote control and fault diagnosis module, through the remote control interface of the cloud platform, users can use smart terminals to control various devices in the car. The system can automatically adjust the temperature, humidity, ventilation and other parameters in the car based on the data feedback from environmental sensors; the fault diagnosis module monitors the operating status of each device in real time, detects anomalies through built-in algorithms and generates alarm information.

[0006] Furthermore, the sensor comprises: A temperature sensor, used to detect the temperature inside the vehicle compartment; Humidity sensor, used to detect the humidity in the car; Gas concentration sensor, used to detect oxygen and carbon dioxide concentrations in the vehicle cabin.

[0007] Furthermore, the storage and transportation compartment is provided with a plurality of gas release devices for releasing gases such as oxygen, carbon dioxide, ozone, etc. to adjust the gas environment in the compartment.

[0008] Furthermore, the quality monitoring module includes: An image acquisition unit, used for acquiring image data of sweet potatoes; Image processing unit, used to analyze the surface condition of sweet potatoes and detect disease spots, damage and rot through deep learning-based image recognition algorithm.

[0009] By adopting the above technical solution, the image data of sweet potatoes is collected through the image acquisition unit, and the image is analyzed in combination with the deep learning algorithm. This module can automatically identify the lesions, mechanical damage and signs of rot on the surface of sweet potatoes, and issue an alarm or provide environmental adjustment suggestions. Compared with traditional manual inspection, this system can realize continuous and automatic quality monitoring, significantly improving the inspection efficiency and accuracy.

[0010] Furthermore, the data transmission and synchronization module includes: A wireless communication unit, used to transmit environmental detection and quality monitoring data to a cloud platform via a wireless network; A data encryption unit is used to encrypt data during data transmission to ensure data security; The control system interface is used to synchronize sensor data and image data to the cloud platform to achieve real-time data update and storage.

[0011] By adopting the above technical solution, the collected environmental data and sweet potato quality data are uploaded to the intelligent cloud service control system in real time through wireless communication technology. Users can view the data at any time through smart phones or computer terminals and make remote adjustments. Compared with the existing local control system, the present invention greatly improves the user's operational convenience and real-time performance, and users can monitor and adjust the environment in the car without arriving at the site.

[0012] Furthermore, the remote control and fault diagnosis module includes: Remote control unit, used to remotely control the equipment in the car through smartphone applications or computer terminals, including temperature and humidity adjustment, ventilation system switches, etc.; Fault diagnosis unit, which is used to monitor the operating status of sensors and other equipment in the car in real time, detect potential faults and generate alarm information; Self-diagnostic system, used to analyze sensor data and equipment operating status, and automatically detect and diagnose fault sources.

[0013] By adopting the above technical solution, users are allowed to remotely operate various devices in the car through the intelligent cloud management and control system, such as adjusting temperature and humidity, gas environment and ventilation system. In addition, the system has a built-in fault diagnosis function, which can automatically monitor the operating status of various sensors and equipment, issue an alarm when a fault is detected, and analyze the cause of the fault through the self-diagnosis module. Compared with the manual on-site troubleshooting in the prior art, the present invention greatly improves the stability and reliability of the system through automatic diagnosis and remote maintenance functions.

[0014] Furthermore, the remote control and fault diagnosis module also includes: A feedback control loop is used to automatically adjust temperature, humidity and ventilation parameters based on real-time environmental data in the carriage to maintain optimal storage conditions for sweet potatoes.

[0015] The present application provides a method for controlling the storage and transportation of sweet potatoes using the following technical solutions: S1: Sweet potato loading and initial environmental control After the sweet potatoes are loaded, the environmental detection module is immediately activated, and multiple sensors installed in the carriage begin to monitor the temperature, humidity, oxygen concentration and carbon dioxide concentration in the carriage in real time; Based on sensor feedback, the system automatically adjusts the refrigeration equipment and humidifier in the compartment to adjust the environmental parameters in the compartment to within the parameter range suitable for sweet potato storage; S2: Environmental changes and automatic control during transportation During transportation, environmental parameters will fluctuate due to changes in outside temperature and gas accumulation in the compartment. At this time, the sensor automatically detects the environmental parameters in the compartment every few seconds and uploads the data to the cloud service control system in real time for users to monitor. S3: Quality Monitoring During transportation, the quality monitoring module automatically collects sweet potato images through a high-definition camera every hour and performs quality analysis. The system analyzes the sweet potato images based on a deep learning algorithm to detect whether there is mechanical damage, rot or disease on the surface; S4: Data synchronization and remote control During transportation, environmental data and sweet potato quality data are uploaded to the cloud service control system in real time through the wireless communication module. Managers can check the environmental conditions and quality monitoring results in the carriage at any time through mobile phones or computers. Users can also manually adjust the humidifier, ventilation device or refrigeration system through the cloud service control system. S5: Fault diagnosis and maintenance During transportation, the system's fault diagnosis module continuously monitors the operating status of all equipment to ensure that they are working properly. If an abnormal operation of the equipment is detected, the system will immediately generate an alarm in the intelligent cloud service control system, inform the user of the possible cause of the fault, and provide a simple remote restart. After the user receives the alarm through the mobile phone, he can remotely restart the ventilation equipment and monitor the fault condition. If the problem is not solved, the system will recommend physical inspection and repair at the next stop; S6: Summary after transportation After the transportation is completed, all environmental parameters, quality monitoring records and fault diagnosis information are automatically generated into a detailed report by the system. The report summarizes all key events in the transportation process, including temperature and humidity control, quality inspection results, fault diagnosis and maintenance, etc. Users can make improvements to future transportation based on these reports.

[0016] In summary, the present invention includes at least one of the following beneficial technical effects: (1) The remote control module of the present invention allows the user to remotely operate various devices in the car through the cloud control system, such as adjusting the temperature and humidity, gas environment and ventilation system. The control system has a built-in fault diagnosis function, which can automatically monitor the operating status of various sensors and equipment, issue an alarm when a fault is detected, and analyze the cause of the fault through the self-diagnosis module. Compared with the manual on-site troubleshooting in the prior art, the present invention greatly improves the stability and reliability of the system through automatic diagnosis and remote maintenance functions.

[0017] (2) The cloud management and control system of the present invention can realize all-round environmental monitoring, which can not only monitor temperature and humidity, but also monitor key environmental parameters such as oxygen and carbon dioxide concentrations, ensuring that the sweet potato storage environment is more stable and safe.

[0018] (3) The cloud management and control system of the present invention automatically monitors the quality of sweet potatoes through a deep learning algorithm, replacing the traditional manual detection method and providing higher detection efficiency and accuracy.

[0019] (4) The user can monitor and adjust the environmental parameters in the car in real time through the present invention, which greatly improves the convenience of operation and management efficiency.

[0020] (5) The present invention can automatically detect and analyze equipment failures, reduce potential losses caused by equipment failures, and improve system reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the system structure of the present invention; Figure 2 This is a schematic diagram of the self-regulation of the cabin environment of the present invention; Figure 3 This is a schematic diagram of the environment adjustment of the intelligent control system of the present invention; Figure 4 This is a schematic diagram of information interaction of the present invention; DETAILED DESCRIPTION

[0022] The present invention is further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention. After reading the present invention, various equivalent forms of modifications to the present invention by those skilled in the art fall within the scope defined by the claims attached to this application.

[0023] like Figure 1 As shown, a sweet potato storage and utilization cloud management and control system includes the following hardware components: Environmental detection module: sensors and gas release devices installed in the car, used to detect environmental parameters such as temperature, humidity, oxygen concentration and carbon dioxide concentration, including: temperature sensor: monitors the temperature inside the car to ensure that it remains within the optimal storage temperature range for sweet potatoes; humidity sensor: monitors the humidity in the car to prevent the environment from being too dry or humid; gas concentration sensor: used to detect oxygen and carbon dioxide concentrations to prevent the accumulation of gases produced by oxidation or excessive respiration; gas release device: used to release oxygen, carbon dioxide, ozone and other gases to adjust the gas environment in the car.

[0024] Quality monitoring module: used to monitor the quality of sweet potatoes in real time. It includes: high-definition camera: installed inside the carriage to collect sweet potato images; image processing unit: based on deep learning algorithm, used to analyze the images collected by the camera to detect whether the sweet potatoes have surface damage, rot or lesions.

[0025] Data transmission and synchronization module: This module uploads the collected environmental parameters and sweet potato quality data to the intelligent cloud service control system through the wireless communication module to ensure the real-time and remote access capabilities of the data. Its hardware components include: wireless communication module, which is used to upload data to the intelligent cloud service control system; data encryption unit, which ensures the security and privacy protection of the transmitted data.

[0026] Remote control and fault diagnosis module: includes control devices and diagnostic systems in the car, which are used to remotely control and monitor faults of equipment in the car. Including: Remote control equipment: can remotely adjust environmental adjustment equipment such as temperature and humidity, gas environment, ventilation system, etc.; Self-diagnosis system: monitors the operating status of all sensors and equipment, identifies and reports any faults.

[0027] Step 1: Sweet potato loading and initial environmental conditioning After the sweet potatoes were loaded, the system's environmental detection module was immediately activated. Multiple sensors installed in the carriage began to monitor the temperature, humidity, oxygen concentration and carbon dioxide concentration in the carriage in real time. The initial data showed the following: temperature: 16°C, humidity: 70%, oxygen concentration: normal, carbon dioxide concentration: normal.

[0028] Since the optimal storage temperature for sweet potatoes is 12°C to 15°C and the humidity is 85%-90%, the environmental conditions at this time are not ideal. Figure 2 As shown in the figure, the cabin environment self-adjustment system uses simple logical judgment to self-adjust the various components of the control system, and then adjusts the cabin environment to maintain a stable cabin environment. Based on sensor feedback, the system automatically adjusts the refrigeration equipment and humidifier in the cabin to reduce the temperature to 14°C and increase the humidity to 88%. After the environment adjustment is completed, the environmental parameters in the cabin are stable within the range suitable for sweet potato storage.

[0029] Step 2: Environmental changes and automatic control during transportation During transportation, environmental parameters may fluctuate at any time due to changes in external temperature and gas accumulation in the compartment. The system's sensors automatically detect the environmental parameters in the compartment every few seconds and upload the data to the intelligent cloud service control system in real time for users to monitor. Figure 3As shown, the environmental monitoring module coordinates with the remote control unit to adjust the environment in the car through the cloud service control system, maintain the temperature, and form a closed loop of information transmission between the car and the cloud service control system. When the gas environment in the car begins to change, the gas sensor sends data to the intelligent cloud service control system, the control system starts the remote control module, activates the gas release device to start adjusting the gas environment in the car, and increases the carbon dioxide concentration to 3%-5% to inhibit the reproduction of mold and bacteria, but avoid too high a concentration to avoid affecting the respiratory metabolism of sweet potatoes; appropriately reducing the oxygen content to 3%-5% can slow down the respiration and oxidation reaction of sweet potatoes, reduce nutrient consumption, and inhibit microbial growth; introducing low-concentration ozone gas into the car can effectively kill mold and bacteria, and the ozone concentration should not be too high to avoid affecting the quality of sweet potatoes. The following are several key events that occurred during transportation and the automatic response of the system: Event 1: Temperature rise After driving for about 2 hours, the temperature in the car began to rise as the vehicle entered a hot area, and the sensor detected that the temperature had reached 17°C. The system immediately started the refrigeration equipment and adjusted the temperature back to 14°C. At this time, the user received a temperature alarm message through the mobile app and checked the real-time data, but no manual intervention was required because the system had already completed the adjustment automatically.

[0030] Event 2: Humidity drop When the carriage passes through a dry climate area, the humidity sensor shows that the humidity in the carriage has dropped to 78%. The system automatically activates the humidifier and adjusts the water vapor supply to raise the humidity to 88% again, ensuring that the sweet potatoes will not lose water or freshness due to the overly dry environment.

[0031] Step 3: Quality Monitoring During the entire transportation process, the system's quality monitoring module automatically collects sweet potato images through a high-definition camera every hour and performs quality analysis. The system analyzes the sweet potato images based on a deep learning algorithm to detect whether there is mechanical damage, rot or disease on the surface.

[0032] Step 4: Data Synchronization and Remote Control like Figure 4 As shown, during the entire transportation process, all environmental data, sweet potato quality data, and fault diagnosis information are encrypted by the data encryption unit and then uploaded to the intelligent cloud service control system in real time through the wireless communication module to ensure the security of data transmission. Managers can check the environmental conditions and quality monitoring results in the carriage at any time through user terminals such as mobile phones or computers. If the system's automatic control equipment fails to effectively solve the problem, users can remotely control the equipment in the carriage through the intelligent cloud service control system. For example: If the temperature, humidity or gas concentration is abnormal, the user can manually adjust the humidifier, ventilation or refrigeration system.

[0033] Users can also view past historical data through the platform to understand the changing trends of environmental parameters during transportation so as to make longer-term decisions.

[0034] Step 5: Troubleshooting and maintenance During transportation, the system's fault diagnosis module continuously monitors the operating status of all equipment to ensure that they are working properly. At a certain moment, the ventilation system's sensors detected that the equipment was operating abnormally and could not effectively exhaust the carbon dioxide in the cabin. The system immediately generated an alarm in the intelligent cloud service control system, notifying the user of possible fault causes (such as fan blockage or circuit problems) and providing simple remote restart operation suggestions.

[0035] After receiving the alarm via mobile phone, the user remotely restarted the ventilation equipment and monitored the fault condition. If the problem is not solved, the system will recommend physical inspection and repair at the next stop. This self-diagnosis and alarm function of the system greatly reduces the risk of sweet potato loss due to equipment failure.

[0036] Step 6: Summary after transportation After the transportation is completed, all environmental parameters, quality monitoring records and fault diagnosis information are automatically generated into a detailed report by the system. The report summarizes all key events during the transportation process, including temperature and humidity control, quality inspection results, fault diagnosis and maintenance, etc. Users can make improvement decisions for future transportation based on these reports, such as improving the loading and unloading process, adjusting the equipment configuration of the carriage, etc.

[0037] In the end, this batch of sweet potatoes arrived at the destination smoothly and maintained a high quality during the transportation process. There was no large-scale rot or damage, which greatly reduced the losses caused by transportation.

Claims

1. A cloud management and control system for sweet potato storage and transportation, including a storage and transportation carriage; characterized in that: The cloud management and control system includes: The environmental detection module includes multiple sensors installed in the storage and transportation compartment, which are used to detect environmental parameters in real time. The sensors sense changes in the surrounding environment through chemical principles and output data in the form of digital signals; The quality monitoring module collects sweet potato image data through the image acquisition unit and analyzes it in combination with the deep learning algorithm. It uses the color change and surface texture of the sweet potato image to detect surface damage, rot, lesions and other quality problems of the sweet potato. Data transmission and synchronization module, which transmits the data collected by sensors and cameras to the cloud platform in real time through wireless communication technology; Remote control and fault diagnosis module, through the remote control interface of the cloud platform, users can use smart terminals to control various devices in the car. The system can automatically adjust the temperature, humidity, ventilation and other parameters in the car based on the data feedback from environmental sensors; the fault diagnosis module monitors the operating status of each device in real time, detects anomalies through built-in algorithms and generates alarm information.

2. A sweet potato storage and utilization cloud management and control system according to claim 1, characterized in that: The sensor comprises: A temperature sensor, used to detect the temperature inside the vehicle compartment; Humidity sensor, used to detect the humidity in the car; Gas concentration sensor, used to detect oxygen and carbon dioxide concentrations in the vehicle cabin.

3. A sweet potato storage and utilization cloud management and control system according to claim 1, characterized in that: A plurality of gas release devices are arranged in the storage and transportation compartment for releasing gases such as oxygen, carbon dioxide, ozone, etc. to adjust the gas environment in the compartment.

4. A sweet potato storage and utilization cloud management and control system according to claim 1, characterized in that: The quality monitoring module includes: An image acquisition unit, used for acquiring image data of sweet potatoes; Image processing unit, used to analyze the surface condition of sweet potatoes and detect disease spots, damage and rot through deep learning-based image recognition algorithm.

5. A sweet potato storage and utilization cloud management and control system according to claim 1, characterized in that: The data transmission and synchronization module comprises: A wireless communication unit, used to transmit environmental detection and quality monitoring data to a cloud platform via a wireless network; A data encryption unit is used to encrypt data during data transmission to ensure data security; The control system interface is used to synchronize sensor data and image data to the cloud platform to achieve real-time data update and storage.

6. A sweet potato storage and utilization cloud management and control system according to claim 1, characterized in that: The remote control and fault diagnosis module includes: Remote control unit, used to remotely control the equipment in the car through smartphone applications or computer terminals, including temperature and humidity adjustment, ventilation system switches, etc.; Fault diagnosis unit, which is used to monitor the operating status of sensors and other equipment in the car in real time, detect potential faults and generate alarm information; Self-diagnostic system, used to analyze sensor data and equipment operating status, and automatically detect and diagnose fault sources.

7. A sweet potato storage and utilization cloud management and control system according to claim 1, characterized in that: The remote control and fault diagnosis module also includes: A feedback control loop is used to automatically adjust temperature, humidity and ventilation parameters based on real-time environmental data in the carriage to maintain optimal storage conditions for sweet potatoes.

8. A method for controlling the storage and transportation of sweet potatoes, characterized in that: Using the sweet potato storage and utilization cloud management and control system according to any one of claims 1 to 7, the method is as follows: S1: Sweet potato loading and initial environmental control After the sweet potatoes are loaded, the environmental detection module is immediately activated, and multiple sensors installed in the carriage begin to monitor the temperature, humidity, oxygen concentration and carbon dioxide concentration in the carriage in real time; Based on sensor feedback, the system automatically adjusts the refrigeration equipment and humidifier in the compartment to adjust the environmental parameters in the compartment to within the parameter range suitable for sweet potato storage; S2: Environmental changes and automatic control during transportation During transportation, environmental parameters will fluctuate due to changes in outside temperature and gas accumulation in the compartment. At this time, the sensor automatically detects the environmental parameters in the compartment every few seconds and uploads the data to the cloud service control system in real time for users to monitor. S3: Quality Monitoring During transportation, the quality monitoring module automatically collects images of sweet potatoes through a high-definition camera every hour and performs quality analysis. The system analyzes the images of sweet potatoes based on a deep learning algorithm to detect whether there is mechanical damage, rot or disease on the surface; S4: Data synchronization and remote control During transportation, environmental data and sweet potato quality data are uploaded to the cloud service control system in real time through the wireless communication module. Managers can check the environmental conditions and quality monitoring results in the carriage at any time through mobile phones or computers. Users can also manually adjust the humidifier, ventilation device or refrigeration system through the cloud service control system. S5: Fault diagnosis and maintenance During transportation, the system's fault diagnosis module continuously monitors the operating status of all equipment to ensure that they are working properly. If an abnormal operation of the equipment is detected, the system will immediately generate an alarm in the intelligent cloud service control system, inform the user of the possible cause of the fault, and provide a simple remote restart. After the user receives the alarm through the mobile phone, he can remotely restart the ventilation equipment and monitor the fault condition. If the problem is not solved, the system will recommend physical inspection and repair at the next stop; S6: Summary after transportation After the transportation is completed, all environmental parameters, quality monitoring records and fault diagnosis information are automatically generated into a detailed report by the system. The report summarizes all key events during the transportation process, including temperature and humidity control, quality inspection results, fault diagnosis and maintenance, etc. Users can make improvements to future transportation based on these reports.

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