Intelligent marine product seedling raising temperature and humidity monitoring system

Abstract

The invention provides an intelligent marine product seedling raising temperature and humidity monitoring system, and relates to the technical field of seedling raising. The intelligent marine product seedling raising temperature and humidity monitoring system comprises a sensor network module, a data processing center, an intelligent control equipment module, a data visualization module, an intelligent alarm module and a processing module, and is characterized in that the sensor network module comprises a data acquisition unit and a data transmission unit; and the data acquisition unit is used for the sensor to acquire data. Through high-precision data acquisition and stable transmission of the sensor network module, in combination with precise analysis and instruction generation of the data processing center module and precise action execution of the intelligent control equipment module, precise monitoring and regulation of the temperature and humidity of the marine product seedling raising environment can be realized; the environment is always in a state suitable for growth of seedling growing organisms, and the seedling growing efficiency and quality are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of seedling cultivation, and in particular to an intelligent seafood seedling cultivation temperature and humidity monitoring system. Background Art

[0002] The Luhai Intelligent Seafood Nursery Temperature and Humidity Monitoring System is an intelligent management system that integrates advanced technologies such as the Internet of Things, sensor technology, data processing, and intelligent control. Traditional temperature and humidity control methods in seafood nurseries have numerous limitations. Previously, they relied primarily on manual scheduled inspections and simple thermometer and hygrometer measurements. This approach was not only labor-intensive and time-consuming, but also hindered real-time and accurate control of temperature and humidity. Manual monitoring also exhibited significant time lags, making it difficult to capture rapid changes in environmental parameters. For example, in a nursery, personnel might fail to promptly detect sudden temperature rises or humidity drops, resulting in prolonged periods of unsuitable conditions for the nursery organisms, impacting their growth and health. Statistics show that under traditional management methods, the incidence of nursery diseases caused by temperature and humidity issues can reach 20%-30%, severely reducing nursery efficiency and quality.

[0003] Unstable temperature and humidity environment provides a breeding ground for pathogens and pests. When the temperature and humidity exceed the appropriate range, such as high temperature and high humidity environment, it is easy to cause mold infection, and low temperature and high humidity environment is easy to cause bacterial diseases. According to relevant research, in a seedling environment without effective temperature and humidity control, the incidence of disease may be 3-5 times higher than that in a normal environment, which will cause the death of a large number of seedling organisms, greatly reduce the survival rate of seedlings, and bring huge economic losses to farmers. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides an intelligent seafood seedling temperature and humidity monitoring system, which solves the problem that an unstable temperature and humidity environment provides a breeding ground for pathogens and pests. When the temperature and humidity exceed the appropriate range, such as high temperature and high humidity environment, mold infection is easily caused, and low temperature and high humidity environment is prone to bacterial diseases.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent seafood seedling temperature and humidity monitoring system, including a sensor network module, a data processing center, an intelligent control equipment module, a data visualization module, an intelligent alarm module and a processing module, characterized in that: the sensor network module includes a data acquisition unit and a data transmission unit, the data acquisition unit is used for sensors to collect data, and the data transmission unit is responsible for efficiently and stably transmitting the temperature and humidity data obtained by the data acquisition unit to the data processing center.

[0006] Preferably, the data processing center module includes a data receiving unit, a data analysis unit and an instruction production unit. The data receiving unit is responsible for receiving the temperature and humidity data transmitted from the sensor network module. The data analysis unit performs in-depth processing and analysis on the received data, and compares the collected temperature and humidity data with the preset suitable growth environment standards for seedling organisms. The instruction production unit automatically generates corresponding control instructions according to predetermined rules and strategies based on the judgment results of the data analysis unit when the environmental parameters deviate from the suitable range.

[0007] Preferably, the intelligent control device module includes an instruction receiving unit, a device driving unit and an equipment status monitoring unit. The instruction receiving unit is responsible for receiving the control instructions sent by the data processing center, and needs to have stable communication functions and accurate signal analysis capabilities to ensure that the instruction information can be obtained quickly and accurately, providing a basis for the subsequent equipment actions, and ensuring the timeliness and accuracy of system control. The device driving unit drives the corresponding equipment to work according to the received instructions, and the equipment status monitoring unit monitors the operating status of the equipment in real time, including whether the equipment is operating normally and whether the operating parameters are within a reasonable range.

[0008] Preferably, the data visualization module includes a data display unit, a user interaction unit and a data update unit. The data display unit can intuitively display the temperature and humidity data of the seedling environment in the form of graphs. The user interaction unit provides an operation interface for the user, allowing the user to independently choose to view data within a specific time period to meet the user's data analysis needs in different scenarios. The data update unit maintains a real-time connection with the data processing center to ensure that the displayed data can be updated in a timely manner.

[0009] Preferably, the intelligent alarm module includes a threshold setting unit, a data monitoring and comparison unit, an alarm triggering and information sending unit, and an alarm recording and logging unit. The threshold setting unit is responsible for setting reasonable upper and lower temperature and humidity thresholds based on the suitable range of temperature and humidity for the seedling organisms and actual breeding experience. The data monitoring and comparison unit continuously receives real-time temperature and humidity data from the data processing center, and compares it with the set thresholds quickly and accurately. The alarm triggering and information sending unit immediately triggers an alarm signal when the data monitoring and comparison unit determines that the temperature and humidity data exceeds the threshold. The alarm recording and logging unit rechecks the set threshold according to a predetermined time period to ensure that the threshold always meets the actual needs of the current seedling environment and biological growth.

[0010] Preferably, the processing module includes a data feedback unit and a data sorting unit. The data feedback unit is used to provide timely feedback on the number of alarm records for modification. The data sorting unit is used to sort the number of alarms and revise them into a data table for monitoring.

[0011] Working Principle: The sensor network module collects temperature and humidity data from the seedling nursery environment and transmits it to the data processing center. The data processing center analyzes the data and compares it with preset standards. If it deviates from the appropriate range, it generates control instructions and sends them to the intelligent control device module. The intelligent control device adjusts the environment accordingly and monitors its own status. The data visualization module displays and updates the data for user review and analysis. The intelligent alarm module monitors data according to set thresholds, generates alarms and records any violations, and regularly rechecks the thresholds.

[0012] The present invention provides an intelligent seafood seedling temperature and humidity monitoring system. It has the following beneficial effects:

[0013] 1. The present invention uses the high-precision data acquisition and stable transmission of the sensor network module, combined with the precise analysis and instruction generation of the data processing center module, and the precise action execution of the intelligent control equipment module, to achieve precise monitoring and regulation of the temperature and humidity of the seafood seedling environment, ensuring that the environment is always in a state suitable for the growth of seedling organisms, and effectively improving the efficiency and quality of seedling cultivation.

[0014] 2. This invention uses intelligent control equipment modules to adjust according to actual environmental needs, avoiding unnecessary energy waste and achieving high energy efficiency. Compared with traditional extensive environmental control methods, it can significantly reduce operating costs and improve economic benefits. Over the long term, it can significantly reduce energy consumption costs, especially for large-scale seedling bases, where the energy saving effect is even more significant.

[0015] 3. This invention uses a data visualization module to display temperature and humidity data in intuitive charts and interactive interfaces, allowing users to easily view and analyze data at any time, providing strong support for scientific decision-making. Users can adjust seedling strategies or equipment parameters based on data trends to further optimize seedling environment management.

[0016] 4. The present invention can quickly trigger an alarm and send information through the intelligent alarm module. Relevant personnel can take timely measures to make adjustments, effectively reducing the risk of seedling failure caused by environmental problems and ensuring the smooth progress of seedling cultivation. When the temperature suddenly rises beyond the appropriate range, the system can issue an alarm within a few minutes and start the cooling equipment to prevent the seedlings from being damaged by high temperature. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of the overall system of the present invention;

[0018] Figure 2 A framework diagram of the sensor network module of the present invention;

[0019] Figure 3 A framework diagram of a data processing center module of the present invention;

[0020] Figure 4 This is a framework diagram of the intelligent control device module of the present invention;

[0021] Figure 5 This is a framework diagram of the data visualization module of the present invention;

[0022] Figure 6 This is a framework diagram of the intelligent alarm module of the present invention;

[0023] Figure 7 It is a framework diagram of the processing module of the present invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] Example:

[0026] like Figure 1-7 As shown, an embodiment of the present invention provides an intelligent seafood seedling temperature and humidity monitoring system, including a sensor network module, a data processing center, an intelligent control device module, a data visualization module, an intelligent alarm module and a processing module. The sensor network module includes a data acquisition unit and a data transmission unit. The data acquisition unit is used for sensors to collect data, and the data transmission unit is responsible for efficiently and stably transmitting the temperature and humidity data obtained by the data acquisition unit to the data processing center.

[0027] The system is composed of various high-precision sensors, carefully deployed in key environmental locations for seafood seedling cultivation. They can keenly sense changes in temperature and humidity in the surrounding environment and convert these physical quantities into electrical or digital signals, thereby enabling the collection of temperature and humidity data. Temperature and humidity sensors are placed around the nursery ponds and in greenhouse vents to ensure comprehensive and accurate acquisition of environmental information. Whether through Ethernet, RS485, or wireless transmission methods such as Wi-Fi, Bluetooth, or ZigBee, the temperature and humidity data captured by the data acquisition unit can be efficiently and stably transmitted to the data processing center. During transmission, data encryption and verification technologies are used to prevent data loss or tampering, ensuring data integrity and accuracy.

[0028] The data processing center module includes a data receiving unit, a data analysis unit and an instruction production unit. The data receiving unit is responsible for receiving the temperature and humidity data transmitted from the sensor network module. The data analysis unit performs in-depth processing and analysis on the received data, and compares the collected temperature and humidity data with the preset suitable growth environment standards for seedling organisms. The instruction production unit is based on the judgment results of the data analysis unit. When the environmental parameters deviate from the suitable range, it automatically generates corresponding control instructions according to predetermined rules and strategies.

[0029] It can simultaneously receive data from multiple sensor network modules. It adapts to different sensor transmission protocols, whether standard industrial or custom, and accurately receives temperature and humidity data. It temporarily stores this data in a high-speed cache for subsequent processing. The data is cleaned to remove outliers and noise. It then precisely compares this data with pre-set environmental standards for suitable growth environments for different seedling organisms. These standards, established based on extensive scientific research and practical farming experience, cover temperature and humidity requirements for different seedling stages. Through comparative analysis, it accurately determines whether current environmental parameters are within the optimal range, as well as the degree and trend of deviation from this range. It then automatically generates appropriate control instructions based on pre-set intelligent control rules and strategies. These rules and strategies take into account factors such as the tolerance of the seedling organisms, the rate of environmental change, and the device's regulatory capabilities. For example, if the temperature is too low, precise heating device activation instructions are generated based on the difference between the current and target temperatures and the temperature trend, including parameters such as heating power and heating time, to achieve precise environmental control.

[0030] The intelligent control equipment module includes an instruction receiving unit, an equipment driving unit and an equipment status monitoring unit. The instruction receiving unit is responsible for receiving the control instructions sent by the data processing center. It needs to have stable communication functions and accurate signal analysis capabilities to ensure that it can quickly and accurately obtain instruction information, provide a basis for subsequent equipment actions, and ensure the timeliness and accuracy of system control. The equipment driving unit drives the corresponding equipment to work according to the received instructions. The equipment status monitoring unit monitors the operating status of the equipment in real time, including whether the equipment is operating normally and whether the operating parameters are within a reasonable range.

[0031] The command receiving unit incorporates a powerful signal parsing algorithm that accurately identifies and interprets command content, ensuring accurate capture of command information. This provides a reliable basis for subsequent device actions and ensures timely and accurate system control. Based on the received command, the unit drives the corresponding device via the electrical control circuit or automated control system. For humidifiers, dehumidifiers, temperature control devices, and other equipment, it precisely controls key parameters such as motor speed, valve opening, and heating power, enabling precise regulation of the temperature and humidity in the seedling cultivation environment. For example, upon receiving a humidification command, the device driver unit precisely controls the humidifier's spray volume and duration to achieve the set humidity target. Sensors and monitoring circuits monitor the device's operating status in real time. Key parameters such as power supply voltage, current, motor temperature, and speed are monitored to determine whether the device is operating properly. Furthermore, these parameters are compared against pre-set operating parameters to determine whether they are within acceptable limits. If a device malfunction or abnormality is detected, an alarm signal is immediately issued and fault information is fed back to the data processing center for prompt action, such as repair or replacement.

[0032] The data visualization module includes a data display unit, a user interaction unit and a data update unit. The data display unit can display the temperature and humidity data of the seedling environment in the form of intuitive charts. The user interaction unit provides users with an operation interface, allowing users to independently choose to view data within a specific time period to meet users' data analysis needs in different scenarios. The data update unit maintains a real-time connection with the data processing center to ensure that the displayed data can be updated in a timely manner.

[0033] The temperature and humidity data of the seedling environment can be displayed in the form of intuitive charts. A line chart can be generated to show the trend of temperature and humidity over time, a bar chart can be used to compare the temperature and humidity differences in different areas or time periods, and a heat map can be used to show the temperature and humidity distribution of the entire seedling site. Based on Web technology or desktop application framework, a user-friendly operation interface is provided. Users can easily choose to view data within a specific time period, such as the past hour, day, week, etc., by clicking the mouse or entering the keyboard. Data can also be zoomed, translated, filtered, and other operations to meet the user's data analysis needs in different scenarios. Once the data processing center receives the new temperature and humidity data and completes the processing, the data update unit will immediately obtain the latest data and refresh the charts and numerical displays on the visual interface to ensure that users always see the latest environmental information so that users can make decisions in a timely manner.

[0034] The intelligent alarm module includes a threshold setting unit, a data monitoring and comparison unit, an alarm triggering and information sending unit, and an alarm recording and logging unit. The threshold setting unit is responsible for setting reasonable upper and lower temperature and humidity thresholds based on the suitable range of temperature and humidity for the seedling organisms and actual breeding experience. The data monitoring and comparison unit continuously receives real-time temperature and humidity data from the data processing center, and compares it with the set thresholds quickly and accurately. The alarm triggering and information sending unit immediately triggers an alarm signal when the data monitoring and comparison unit determines that the temperature and humidity data exceeds the threshold. The alarm recording and logging unit rechecks the set thresholds according to a predetermined time period to ensure that the thresholds always meet the actual needs of the current seedling environment and biological growth.

[0035] Reasonable upper and lower temperature and humidity thresholds are set in the system. These thresholds are dynamically adjusted based on factors such as different types of seedling organisms, growth stages, and seasonal changes. For example, during the high temperatures of summer, the upper temperature threshold may be appropriately increased for the cultivation of certain high-temperature-resistant seafood seedlings; while in the early stages of seedling growth, the suitable temperature and humidity ranges are usually more stringent, and the threshold settings will be tightened accordingly. Real-time temperature and humidity data are continuously received from the data processing center, and efficient algorithms and data processing technologies are used to quickly and accurately compare them with the set thresholds. During the comparison process, data fluctuations and changing trends are taken into account to avoid false alarms due to short-term abnormal data. When the data monitoring and comparison unit determines that the temperature and humidity data exceed the threshold, an alarm signal is immediately triggered. Alarm signals can be sent to relevant personnel in a variety of ways, such as by displaying a prominent warning window on the monitoring system's interface and emitting a high-decibel audible alarm. Alarm messages can be sent to managers' mobile phones via SMS gateways, detailing the time, location, and temperature and humidity values exceeding the threshold. Alarm information can also be sent via email to relevant technical personnel so they can take timely measures to prevent damage to the nursery organisms caused by deteriorating nursery environments. Set thresholds can be re-checked and evaluated at predetermined intervals, such as daily or weekly. Adjustment of thresholds can be determined based on the growth of the organisms, environmental changes, and past alarm records.

[0036] The processing module includes a data feedback unit and a data sorting unit. The data feedback unit is used to provide timely feedback on the number of alarm records and make modifications. The data sorting unit is used to sort the number of alarms, revise them into a data table, and monitor them.

[0037] It is mainly responsible for providing timely feedback on the number of alarm records and related detailed information. It will send this data to the system administrator or relevant technical personnel according to the preset rules and frequency. Systematically organize and analyze the number, time, cause and other data of the alarm. Using data statistics and analysis methods such as data classification, aggregation, trend analysis, etc., the data is revised into standardized data tables. These data tables can intuitively display the distribution of alarms, change trends and other information, providing important data support for monitoring the stability of the seedling environment and the reliability of the system.

[0038] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent seafood seedling temperature and humidity monitoring system, comprising a sensor network module, a data processing center, an intelligent control device module, a data visualization module, an intelligent alarm module, and a processing module, characterized in that: The sensor network module includes a data acquisition unit and a data transmission unit. The data acquisition unit is a sensor that collects data, and the data transmission unit is responsible for efficiently and stably transmitting the temperature and humidity data obtained by the data acquisition unit to a data processing center.

2. The intelligent seafood seedling temperature and humidity monitoring system according to claim 1, characterized in that: The data processing center module includes a data receiving unit, a data analysis unit and an instruction production unit. The data receiving unit is responsible for receiving the temperature and humidity data transmitted from the sensor network module. The data analysis unit performs in-depth processing and analysis on the received data, and compares the collected temperature and humidity data with the preset suitable growth environment standards for seedling organisms. The instruction production unit automatically generates corresponding control instructions according to predetermined rules and strategies based on the judgment results of the data analysis unit when the environmental parameters deviate from the suitable range.

3. The intelligent seafood seedling temperature and humidity monitoring system according to claim 1, characterized in that: The intelligent control device module includes an instruction receiving unit, a device driving unit and an equipment status monitoring unit. The instruction receiving unit is responsible for receiving the control instructions sent by the data processing center. It needs to have stable communication functions and accurate signal analysis capabilities to ensure that the instruction information can be obtained quickly and accurately, providing a basis for the subsequent equipment actions and ensuring the timeliness and accuracy of system control. The device driving unit drives the corresponding equipment to work according to the received instructions. The equipment status monitoring unit monitors the operating status of the equipment in real time, including whether the equipment is operating normally and whether the operating parameters are within a reasonable range.

4. The intelligent seafood seedling temperature and humidity monitoring system according to claim 1, characterized in that: The data visualization module includes a data display unit, a user interaction unit and a data update unit. The data display unit can intuitively display the temperature and humidity data of the seedling environment in the form of charts. The user interaction unit provides an operation interface for the user, allowing the user to independently choose to view data within a specific time period to meet the user's data analysis needs in different scenarios. The data update unit maintains a real-time connection with the data processing center to ensure that the displayed data can be updated in a timely manner.

5. The intelligent seafood seedling temperature and humidity monitoring system according to claim 1, characterized in that: The intelligent alarm module includes a threshold setting unit, a data monitoring and comparison unit, an alarm triggering and information sending unit, and an alarm recording and log unit. The threshold setting unit is responsible for setting reasonable upper and lower temperature and humidity thresholds based on the suitable range of temperature and humidity for the seedling organisms and actual breeding experience. The data monitoring and comparison unit continuously receives real-time temperature and humidity data from the data processing center, and compares it with the set threshold value quickly and accurately. The alarm triggering and information sending unit immediately triggers an alarm signal when the data monitoring and comparison unit determines that the temperature and humidity data exceeds the threshold value. The alarm recording and log unit rechecks the set threshold value according to a predetermined time period to ensure that the threshold value always meets the actual needs of the current seedling environment and biological growth.

6. The intelligent seafood seedling temperature and humidity monitoring system according to claim 1, characterized in that: The processing module includes a data feedback unit and a data sorting unit. The data feedback unit is used to timely feedback the number of alarm records and modify them. The data sorting unit is used to sort the number of alarms and revise them into a data table for monitoring.

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