Fertilizer storage monitoring system based on Internet of Things

Abstract

The invention discloses a fertilizer storage monitoring system based on the Internet of Things. The fertilizer storage monitoring system comprises an environment sensing module, an equipment control module, a communication networking module, a central processing platform and a user terminal module, the environment sensing module comprises temperature and humidity sensors, a gas concentration detector, a pressure sensor and a three-dimensional space positioning device which are distributed at different positions of a storage space, the temperature and humidity sensors are deployed by adopting a honeycomb topological structure, and each temperature and humidity sensor comprises a dual-mode temperature and humidity probe and a self-calibration circuit; the gas concentration detector comprises an ammonia gas sensor, a methane sensor and a multispectral gas analyzer. When the warehousing system is monitored, the environment where the fertilizer is located can be comprehensively mastered by monitoring information such as the temperature, the humidity, the gas concentration and the pressure in the warehousing space, whether the fertilizer goes bad or is prone to going bad or not is judged, and the problems that manual judgment is not standard and not accurate are completely eradicated.

Description

Technical Field

[0001] This application relates to the technical field of warehouse monitoring systems, and specifically to a fertilizer warehouse monitoring system based on the Internet of Things. Background Art

[0002] During the production and sales process of fertilizers, fertilizers often need to be stored in warehouses. During the warehousing process, once the monitoring is not in place, the problem of fertilizer deterioration is likely to occur, which will affect the use of fertilizers.

[0003] In the prior art, the methods for monitoring fertilizers mostly adopt the method of video monitoring + regular inspections. However, such methods can only roughly judge the status of fertilizers and cannot accurately grasp the actual situation of fertilizers. According to the characteristics that fertilizers mostly emit ammonia, methane or other gases when deteriorating, this application proposes a fertilizer warehouse monitoring system based on the Internet of Things. Summary of the Invention

[0004] Therefore, this application provides a fertilizer warehouse monitoring system based on the Internet of Things to solve the problem in the prior art that the actual situation of fertilizers cannot be accurately grasped.

[0005] To achieve the above object, this application provides the following technical solutions:

[0006] In the first aspect, a fertilizer warehouse monitoring system based on the Internet of Things includes an environmental perception module, a device control module, a communication networking module, a central processing platform, and a user terminal module;

[0007] The environmental perception module includes temperature and humidity sensors, gas concentration detectors, pressure sensors, and three-dimensional space positioning devices distributed at different positions in the warehousing space. The temperature and humidity sensors are deployed in a honeycomb topology structure, and each temperature and humidity sensor includes a dual-mode temperature and humidity probe and a self-calibration circuit; the gas concentration detector includes an ammonia sensor, a methane sensor, and a multi-spectral gas analyzer; the pressure sensor is embedded in the support structure of the warehousing shelf and is configured with a distributed strain gauge group; the three-dimensional space positioning device includes a UWB positioning base station and a mobile inspection robot, and the mobile inspection robot is equipped with an infrared thermal imager and a laser rangefinder;

[0008] The device control module includes an intelligent ventilation system, an automatic dehumidification unit, a material turning device, and an emergency treatment unit. The intelligent ventilation system includes a variable-frequency fan and an air duct guiding mechanism, and the variable-frequency fans are connected through a CAN bus; the automatic dehumidification unit includes a dual dehumidification device of a condensation dehumidifier and an adsorption dryer; the material turning device includes a robotic arm and a hydraulic pusher mechanism; the emergency treatment unit includes an automatic sprinkler device and a gas neutralizer dosing mechanism;

[0009] The communication networking module consists of a LoRaWAN backbone network, a ZigBee subnet, and a 5G backup link to form a hybrid communication architecture. The communication networking module includes multi-protocol gateway devices, edge computing nodes, and signal repeaters. The multi-protocol gateway devices are configured with a dynamic frequency band selection algorithm and an adaptive power adjustment function; the edge computing nodes are deployed with data filtering algorithms and local decision-making models;

[0010] The central processing platform includes a data fusion engine, an anomaly detection model, an environmental control decision-making system, and a visualization interface. The data fusion engine is configured with a spatio-temporal alignment algorithm and a multi-source data correlation analysis module; the anomaly detection model includes a caking prediction module based on deep learning and a volatilization estimation unit; the environmental control decision-making system integrates a fuzzy control algorithm and an energy consumption optimization model;

[0011] Preferably, the user terminal module includes a mobile monitoring APP, a Web management platform, and an audible and visual alarm device. The mobile monitoring APP supports visual warehouse navigation and remote control instruction issuance. The Web management platform includes a warehousing electronic map, a device status dashboard, and a data analysis report system.

[0012] Preferably, the temperature and humidity sensors are arranged in an array structure, and the temperature and humidity sensor array adopts a hexagonal honeycomb layout. The spacing between adjacent temperature and humidity sensors is dynamically adjusted according to the warehousing volume. The gas concentration detector is equipped with a self-cleaning device, which includes an ultrasonic dust remover and a gas sampling pump. The pressure sensor is provided with an overload protection circuit and a temperature compensation module. The mobile inspection robot is configured with an explosion-proof motor and a navigation system.

[0013] Preferably, the air duct guiding mechanism includes a rotatable deflector and a wind speed sensor. The automatic dehumidification unit is configured with a condensate recovery device and a desiccant regeneration system. The robotic arm has six degrees of freedom joints and a pressure feedback unit. The automatic sprinkler device includes a multi-nozzle array and a flow control system.

[0014] Preferably, the LoRaWAN backbone network adopts a star topology structure. The multi-protocol gateway devices support Class C communication mode. The ZigBee subnet is used to construct a mesh network, and the ZigBee subnet includes a routing optimization algorithm and a channel hopping mechanism. The 5G backup link is configured with a network quality monitoring unit and an automatic switching controller. The edge computing nodes are deployed with a data compression algorithm and a local cache database.

[0015] Preferably, the data fusion engine includes a timestamp alignment module and a spatial coordinate conversion unit. The anomaly detection model adopts a convolutional neural network architecture and is trained with typical abnormal operating condition samples. The input variables of the fuzzy control algorithm of the environmental regulation decision system include temperature and humidity gradient, gas concentration change rate, and material stack pressure parameters. The visualization interface supports the display of three-dimensional heat maps and the positioning of abnormal locations.

[0016] Preferably, the mobile monitoring APP includes a gesture control interface and a voice command recognition function. The data analysis and reporting system of the Web management platform supports multi-dimensional data drilling and trend prediction. The audible and visual alarm device is configured with a hierarchical alarm strategy and an alarm log storage function.

[0017] Preferably, an energy management module is further included. The energy management module includes a solar power supply unit, a battery management system, and an energy consumption monitoring instrument. The solar power supply unit adopts a two-axis bracket and flexible photovoltaic modules. The battery management system is configured with a charge and discharge balancing circuit and a state of health assessment model.

[0018] Compared with the prior art, the present application has at least the following beneficial effects:

[0019] 1. When monitoring the warehousing system, by monitoring information such as temperature, humidity, gas concentration, and pressure in the warehousing space, it is possible to comprehensively grasp the environment where the fertilizer is located, and then judge whether the fertilizer has deteriorated or is likely to deteriorate, eliminating the problems of non-standard and inaccurate manual judgment.

[0020] 2. Through the ventilation system, the volatiles in the warehousing space can be discharged in time, avoiding potential safety hazards caused by the accumulation of toxic and harmful gases. The automatic dehumidification unit can ensure the dryness of the air in the warehousing space and prevent the fertilizer from deteriorating. Through the material turning device, the fertilizer can be turned over every once in a while, avoiding the fertilizer from being stacked for a long time and absorbing water inside and deteriorating. When an emergency occurs in the warehousing space, the emergency treatment unit can handle it in time. For example, when a fire breaks out, it can automatically spray to extinguish the fire. When the toxic and harmful gases in the gas exceed the standard, neutralizing agents can also be released to avoid poisoning of the staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] To more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings generally should not be regarded as limiting conditions when implementing the present application; for example, those skilled in the art are capable of making routine adjustments or further optimizations to the addition / deletion / attribution division of certain units (components), specific shapes, positional relationships, connection methods, dimensional proportional relationships, etc. based on the technical concept disclosed in the present application and the exemplary drawings.

[0022] Figure 1 This is a module diagram of the fertilizer storage monitoring system based on the Internet of Things provided in the first embodiment of this application. Detailed implementation manners

[0023] The following further details this application through specific embodiments in conjunction with the accompanying drawings.

[0024] As Figure 1 shown, a fertilizer storage monitoring system based on the Internet of Things includes an environmental perception module, a device control module, a communication networking module, a central processing platform, and a user terminal module. When it is implemented, the environmental perception module collects three-dimensional environmental data of the storage space in real time and transmits it to the central processing platform through the communication networking module; the data fusion engine performs spatio-temporal calibration and feature extraction on multi-source heterogeneous data, and the anomaly detection model identifies potential risks by comparing the historical data pattern library; after the environmental regulation decision system generates an optimized control strategy, it performs operations such as ventilation and dehumidification through the device control module; the user terminal module receives system status information in real time and supports manual intervention;

[0025] The environmental perception module includes temperature and humidity sensors, gas concentration detectors, pressure sensors, and three-dimensional space positioning devices distributed at different positions in the storage space. The temperature and humidity sensors are deployed in a honeycomb topology structure, and each temperature and humidity sensor includes a dual-mode temperature and humidity probe and a self-calibration circuit; the gas concentration detector includes an ammonia sensor, a methane sensor, and a multi-spectral gas analyzer; the pressure sensor is embedded in the support structure of the storage shelf and is configured with a distributed strain gauge group; the three-dimensional space positioning device includes a UWB positioning base station and a mobile inspection robot, and the mobile inspection robot is equipped with an infrared thermal imager and a laser rangefinder;

[0026] When monitoring the storage system, by monitoring information such as temperature, humidity, gas concentration, and pressure in the storage space, the environment where the fertilizer is located can be comprehensively grasped, and then it can be judged whether the fertilizer has deteriorated or is likely to deteriorate, eliminating the problems of non-standard and inaccurate manual judgment.

[0027] When fertilizers are stacked and stored, gases will be generated in the fertilizers, and different types of fertilizers generate different gases (such as ammonia gas, methane gas, etc.). The change in gas concentration represents whether the fertilizer has deteriorated. This solution monitors the gas concentration to more accurately judge the state of the fertilizer.

[0028] The device control module includes an intelligent ventilation system, an automatic dehumidification unit, a material turning device, and an emergency treatment unit. The intelligent ventilation system includes variable-frequency fans and a duct guiding mechanism, and the variable-frequency fans are connected via a CAN bus; the automatic dehumidification unit includes a dual dehumidification device of a condensation dehumidifier and an adsorption dryer; the material turning device includes a robotic arm and a hydraulic pusher mechanism; the emergency treatment unit includes an automatic sprinkler device and a gas neutralizer dosing mechanism;

[0029] Through the ventilation system, the volatiles in the storage space can be discharged in time, avoiding potential safety hazards caused by the accumulation of toxic and harmful gases. The automatic dehumidification unit can ensure the dryness of the air in the storage space and prevent the fertilizer from deteriorating. Through the material turning device, the fertilizer can be turned over at regular intervals, avoiding the deterioration of the fertilizer due to long-term stacking and internal water absorption. When an emergency occurs in the storage space, the emergency treatment unit can handle it in time. For example, when a fire breaks out, it can automatically sprinkle water to extinguish the fire. When the concentration of toxic and harmful gases in the air exceeds the standard, it can also dose neutralizers to prevent poisoning of the staff.

[0030] The communication networking module consists of a LoRaWAN backbone network, a ZigBee subnet, and a 5G backup link to form a hybrid communication architecture. The communication networking module includes multi-protocol gateway devices, edge computing nodes, and signal repeaters. The multi-protocol gateway devices are configured with a dynamic frequency band selection algorithm and an adaptive power adjustment function; the edge computing nodes are deployed with a data filtering algorithm and a local decision-making model;

[0031] Through the hybrid communication architecture, wireless data transmission can be achieved. Compared with the existing wired data transmission, wireless data transmission can effectively avoid the messy phenomenon of cable routing and wiring, and to a certain extent, reduce the probability of safety accidents caused by the lines.

[0032] The central processing platform includes a data fusion engine, an anomaly detection model, an environmental control decision-making system, and a visualization interface. The data fusion engine is configured with a spatio-temporal alignment algorithm and a multi-source data correlation analysis module; the anomaly detection model includes a caking prediction module based on deep learning and a volatilization estimation unit; the environmental control decision-making system integrates a fuzzy control algorithm and an energy consumption optimization model;

[0033] The user terminal module includes a mobile monitoring APP, a Web management platform, and an audible and visual alarm device. The mobile monitoring APP supports visualization of warehouse navigation and issuance of remote control instructions. The Web management platform includes a warehouse electronic map, a device status dashboard, and a data analysis report system.

[0034] The temperature and humidity sensors are arranged in an array structure, and the temperature and humidity sensor array adopts a hexagonal honeycomb layout. The spacing between adjacent temperature and humidity sensors is dynamically adjusted according to the storage volume. By arranging the temperature and humidity sensors in the above form, the temperature and humidity data in the storage space can be grasped more comprehensively and accurately;

[0035] The gas concentration detector is equipped with a self-cleaning device to ensure that the gas concentration detector can be used stably for a long time. The gas concentration detector includes an ultrasonic dust remover and a gas sampling pump. The use of the gas sampling pump can achieve the purpose of active detection, and the detection result is more accurate;

[0036] The pressure sensor is provided with an overload protection circuit and a temperature compensation module to ensure that the pressure sensor can be used stably for a long time and the detection result is more accurate;

[0037] The mobile inspection robot is configured with an explosion-proof motor and a navigation system, which avoids the explosion of the motor in the mobile inspection robot when the concentration of ammonia or methane gas is too high. The navigation system can ensure that the mobile inspection robot can perform inspections according to a predetermined route.

[0038] The air duct guiding mechanism includes a rotatable deflector and a wind speed sensor to avoid the phenomenon of too fast or too slow wind speed. The automatic dehumidification unit is configured with a condensate recovery device and a desiccant regeneration system to ensure that the automatic dehumidification unit can operate stably for a long time. The robotic arm has six-degree-of-freedom joints and a pressure feedback unit to facilitate the turning pile operation. The automatic sprinkler device includes a multi-nozzle array and a flow control system.

[0039] The LoRaWAN backbone network adopts a star topology structure. The multi-protocol gateway device supports the Class C communication mode. The ZigBee subnet is used to build a mesh network, and the ZigBee subnet includes a routing optimization algorithm and a channel hopping mechanism. The 5G backup link is configured with a network quality monitoring unit and an automatic switching controller. The edge computing node deploys a data compression algorithm and a local cache database.

[0040] The data fusion engine includes a timestamp alignment module and a spatial coordinate conversion unit. The anomaly detection model adopts a convolutional neural network architecture. The anomaly detection model is trained with typical abnormal working condition samples. The input variables of the fuzzy control algorithm of the environmental regulation decision system include temperature and humidity gradient, gas concentration change rate, and material stack pressure parameters. The visualization interface supports three-dimensional heat map display and anomaly location positioning.

[0041] The mobile monitoring APP includes a gesture control interface and a voice command recognition function. The data analysis report system of the Web management platform supports multi-dimensional data drilling and trend prediction. The acoustic-optic alarm device is configured with a hierarchical alarm strategy and an alarm log storage function.

[0042] It also includes an energy management module, which contains a solar power supply unit, a battery management system, and an energy consumption monitoring instrument. The solar power supply unit uses a two-axis bracket and a flexible photovoltaic module. The two-axis bracket enables the solar power supply unit to be rotated by the user or through a motor, thereby enabling it to utilize solar energy more efficiently. The battery management system is configured with a charge-discharge balancing circuit and a state-of-health assessment model, ensuring the safe and long-term use of the battery.

[0043] The technical features of the above embodiments can be combined arbitrarily (as long as there is no contradiction in the combination of these technical features). For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not explicitly written out should also be considered to be within the scope described in this specification.

Claims

1. An Internet of Things-based fertilizer storage monitoring system, characterized in that It includes an environmental perception module, a device control module, a communication networking module, a central processing platform, and a user terminal module; The environmental perception module includes temperature and humidity sensors, gas concentration detectors, pressure sensors, and three-dimensional space positioning devices distributed at different positions in the storage space. The temperature and humidity sensors are deployed in a honeycomb topology, and each temperature and humidity sensor includes a dual-mode temperature and humidity probe and a self-calibration circuit; the gas concentration detector includes an ammonia sensor, a methane sensor, and a multispectral gas analyzer; the pressure sensor is embedded in the support structure of the storage rack and is equipped with a distributed strain gauge group; the three-dimensional space positioning device includes a UWB positioning base station and a mobile inspection robot, and the mobile inspection robot is equipped with an infrared thermal imager and a laser rangefinder; The device control module includes an intelligent ventilation system, an automatic dehumidification unit, a material turning device, and an emergency treatment unit. The intelligent ventilation system includes variable-frequency fans and a duct guiding mechanism, and the variable-frequency fans are connected through a CAN bus; the automatic dehumidification unit includes a dual dehumidification device of a condensation dehumidifier and an adsorption dryer; the material turning device includes a robotic arm and a hydraulic pusher mechanism; the emergency treatment unit includes an automatic sprinkler device and a gas neutralizer dosing mechanism; The communication networking module consists of a LoRaWAN backbone network, a ZigBee subnet, and a 5G backup link to form a hybrid communication architecture. The communication networking module includes multi-protocol gateway devices, edge computing nodes, and signal repeaters. The multi-protocol gateway devices are configured with a dynamic frequency band selection algorithm and an adaptive power adjustment function; the edge computing nodes are deployed with a data filtering algorithm and a local decision-making model; The central processing platform includes a data fusion engine, an anomaly detection model, an environmental regulation decision-making system, and a visualization interface. The data fusion engine is configured with a spatio-temporal alignment algorithm and a multi-source data association analysis module; the anomaly detection model includes a caking prediction module based on deep learning and a volatilization estimation unit; the environmental regulation decision-making system integrates a fuzzy control algorithm and an energy consumption optimization model; The user terminal module includes a mobile monitoring APP, a Web management platform, and an audible and visual alarm device. The mobile monitoring APP supports visualization warehouse navigation and remote control instruction issuance. The Web management platform includes a warehouse electronic map, a device status dashboard, and a data analysis report system.

2. The fertilizer storage monitoring system based on the Internet of Things according to claim 1, characterized in that The temperature and humidity sensors are arranged in an array structure, and the temperature and humidity sensor array adopts a hexagonal honeycomb layout. The distance between adjacent temperature and humidity sensors is dynamically adjusted according to the storage volume. The gas concentration detector is equipped with a self-cleaning device, and the gas concentration detector includes an ultrasonic dust remover and a gas sampling pump. The pressure sensor is provided with an overload protection circuit and a temperature compensation module. The mobile inspection robot is configured with an explosion-proof motor and a navigation system.

3. The fertilizer storage monitoring system based on the Internet of Things according to claim 1, characterized in that, The duct guiding mechanism includes a rotatable deflector and a wind speed sensor. The automatic dehumidification unit is configured with a condensate recovery device and a desiccant regeneration system. The robotic arm has six-degree-of-freedom joints and a pressure feedback unit. The automatic sprinkler device includes a multi-nozzle array and a flow control system.

4. The fertilizer storage monitoring system based on the Internet of Things according to claim 1, wherein The LoRaWAN backbone network adopts a star topology. The multi-protocol gateway device supports the Class C communication mode. The ZigBee subnet is used to construct a mesh network, and the ZigBee subnet includes a routing optimization algorithm and a channel hopping mechanism. The 5G backup link is configured with a network quality monitoring unit and an automatic switching controller. The edge computing node is deployed with a data compression algorithm and a local cache database.

5. The fertilizer storage monitoring system based on the Internet of Things according to claim 1, characterized in that The data fusion engine includes a timestamp alignment module and a spatial coordinate conversion unit. The anomaly detection model adopts a convolutional neural network architecture and is trained with typical abnormal operating condition samples. The input variables of the fuzzy control algorithm of the environmental regulation decision system include temperature and humidity gradient, gas concentration change rate, and material stack pressure parameters. The visualization interface supports the display of 3D heat maps and the positioning of abnormal locations.

6. The fertilizer storage monitoring system based on the Internet of Things according to claim 1, characterized in that, The mobile monitoring APP includes a gesture control interface and a voice command recognition function. The data analysis and reporting system of the Web management platform supports multi-dimensional data drilling and trend prediction. The audible and visual alarm device is configured with a hierarchical alarm strategy and an alarm log storage function.

7. The fertilizer storage monitoring system based on the Internet of Things according to claim 1, wherein It also includes an energy management module. The energy management module includes a solar power supply unit, a battery management system, and an energy consumption monitoring instrument. The solar power supply unit uses a dual-axis bracket and flexible photovoltaic modules. The battery management system is configured with a charge and discharge equalization circuit and a state of health assessment model.

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