Standard curing box temperature and humidity control system based on photo-hydrogen
By adopting a temperature and humidity control system based on optical hydrogen in the standard incubator, using photovoltaic modules to generate power, electrolyzed hydrogen production, hydrogen fuel cell power generation, and combined with intelligent control of neural networks, the inefficient energy saving and high carbon emissions problems in the temperature and humidity control system of the standard incubator is solved, and low-carbon environmental protection, water-saving and power-saving, accurate and intelligent temperature and humidity control effects are achieved.
Patent Information
- Application Number
- CN202510049501.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-13
- Publication Date
- 2025-04-18
AI Technical Summary
The existing standard incubator temperature and humidity control system has problems such as inefficiency and energy saving, high carbon emissions, and uneven temperature and humidity, which affects the accuracy of concrete inspection tests.
A standard incubator temperature and humidity control system based on optical hydrogen is adopted. The system includes an optical hydrogen module, a strong and weak current control module, a temperature and humidity module, a water circulation module, an intelligent control module and a maintenance and recording module. It generates power through photovoltaic modules, electrolyzed hydrogen production, and hydrogen fuel cell power generation, combined with the intelligent control method of neural networks, to achieve accurate temperature and humidity control.
It has achieved low-carbon and environmental protection, water-saving and power-saving, precise and intelligent temperature and humidity control, reduced carbon emissions in the maintenance process of building materials test blocks, and significantly reduced the consumption of electricity and water resources.
Smart Images
Figure CN119847261A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of temperature and humidity control of concrete standard curing boxes, and in particular to a temperature and humidity control system of a standard curing box based on solar hydrogen. Background Art
[0002] Standard curing boxes are mobile facilities with specific temperature and humidity for storing concrete test blocks, cement test blocks and other building materials. The temperature and humidity control level of standard curing boxes and the long-term operation of the curing system directly affect the accuracy of various concrete test results. For this reason, both international and domestic standards have made strict regulations on standard curing temperature and relative humidity: the standard curing temperature is 20±2℃, and the relative humidity is above 95%.
[0003] However, since most construction activities of engineering projects are carried out in the field, the cost of continuous power supply of standard curing boxes is high, and the carbon emissions of the project are increased. In addition, changes in climate conditions, temperature differences between day and night, and traditional temperature and humidity control methods can easily cause uneven temperature and humidity in the curing room, affecting the accuracy of concrete testing. Therefore, there is an urgent need for a standard curing box temperature and humidity control system that is low-carbon, environmentally friendly, energy-saving and water-saving, and can accurately and intelligently regulate the concrete curing process. Summary of the invention
[0004] The present invention aims to solve the deficiencies of the prior art and provide a temperature and humidity control system for a standard culture chamber based on solar hydrogen.
[0005] In order to achieve the above object, the present invention adopts the following technical solutions:
[0006] A temperature and humidity control system for a standard curing box based on solar hydrogen, comprising:
[0007] The photohydrogen module is used to convert light energy into hydrogen for storage, and then convert hydrogen energy into electrical energy through hydrogen power generation, while releasing heat and water into the environment. The heat release model and humidity model of hydrogen power generation are determined through numerical simulation and experimental methods;
[0008] Strong and weak current control module, used to control the strong and weak current of the system;
[0009] Temperature and humidity module, used to monitor ambient temperature and humidity and adjust temperature and humidity in real time;
[0010] Water circulation module, used to control the water circulation of the system;
[0011] The intelligent control module has a built-in heat release model and humidity model for hydrogen power generation. It uses a neural network method to intelligently control the temperature and humidity module based on environmental monitoring data to achieve intelligent regulation of temperature and humidity.
[0012] Maintenance record module, used to record maintenance time, temperature, humidity, and hydrogen power generation process data;
[0013] The photohydrogen module is connected to the strong and weak electricity control module and the water circulation module respectively. The strong and weak electricity control module is connected to the temperature and humidity module and the intelligent control module respectively. The temperature and humidity module is connected to the intelligent control module, the water circulation module and the maintenance record module respectively.
[0014] In particular, the photohydrogen module includes a photovoltaic module, a hydrogen production module, and a hydrogen-electric module. The photovoltaic module is used to convert light energy into electrical energy. The hydrogen production module produces hydrogen by electrolyzing water and stores hydrogen. The hydrogen-electric module generates electricity through hydrogen fuel cells and releases heat and water into the environment. The heat release model and humidity model of hydrogen power generation are determined through numerical simulation and experimental methods.
[0015] In particular, the strong and weak current control module controls the electrical equipment and equipment signal transmission within the system, and provides overload protection and short circuit protection.
[0016] In particular, the temperature and humidity module includes an environment monitoring module, a temperature control module, and a humidification module. The environment monitoring module includes a plurality of temperature sensors and humidity sensors arranged in a standard maintenance box for real-time monitoring of the temperature and humidity of the environment. The temperature control module is connected to the temperature sensor for controlling the temperature within a standard range according to the monitoring data. The humidification module is connected to the humidity sensor for controlling the relative humidity within a standard range according to the monitoring data.
[0017] In particular, the water circulation module includes pipelines connected to the water inlet and outlet of the photohydrogen module and the temperature and humidity module, and a water tank, a water pump, a condensate collector, and a filtering device connected to the pipelines. The filtering device is used to filter and purify the water and condensate at the water outlets of the photohydrogen module and the temperature and humidity module to achieve recycling.
[0018] In particular, the neural network method used in the intelligent control module is based on a feedforward neural network, including an input layer, a hidden layer and an output layer. The input layer inputs the temperature of the temperature sensor, the humidity of the humidity sensor, the hydrogen power generation temperature time series data, and the hydrogen power generation humidity time series data. The output layer outputs temperature and humidity control instructions, which are deployed in the intelligent control module after training.
[0019] In particular, the data recorded by the maintenance record module is used for temperature and humidity analysis as well as correction and iteration of the hydrogen power generation and heat release module, humidity module, and neural network method.
[0020] In particular, it also includes a temperature and humidity control module for personnel entrances and exits, which are respectively connected to the strong and weak electricity control module and the intelligent control module. The temperature and humidity control module for personnel entrances and exits includes temperature and humidity sensors, wind speed sensors, and differential pressure sensors arranged at the personnel entrances and exits, which are used to monitor the internal and external air convection and the temperature and humidity differences when personnel enter and exit in real time. The temperature and humidity control module for personnel entrances and exits is embedded with an inlet and outlet temperature and humidity control model based on a deep reinforcement learning network, which is trained in combination with numerical simulation of environmental fluids and monitoring data to obtain an intelligent control strategy for real-time regulation of temperature and humidity at the moment a person opens the door, so as to keep the local temperature and humidity of the entrance and exit stable.
[0021] The beneficial effects of the present invention are:
[0022] 1. Low-carbon and environmentally friendly, it generates electricity through photovoltaic modules, produces hydrogen through water electrolysis, and generates electricity through hydrogen fuel cells. The whole process is low-carbon and environmentally friendly. The standard curing box uses clean energy for the whole process of curing, which effectively reduces the carbon emissions during the curing process of building material test blocks;
[0023] 2. Save water and electricity, with significant economic benefits. In addition to the one-time investment of the product, the present invention does not consume city electricity during use, and water resources are recycled, greatly reducing consumption. Moreover, the present invention can be repeatedly applied to various civil engineering projects, and the amortization cost of engineering production is low, with significant economic benefits.
[0024] 3. Precise and intelligent, giving full play to the heat release and humidification efficiency of hydrogen power generation, adopting neural network intelligent control method, giving intelligent control instructions for greenhouse humidity control, and realizing precise intelligent control. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 It is a logic block diagram of the present invention;
[0026] Figure 2 A neural network structure diagram in the intelligent control module of the present invention;
[0027] The following is a detailed description of the embodiments of the present invention with reference to the accompanying drawings. DETAILED DESCRIPTION
[0028] The present invention will be further described below in conjunction with embodiments:
[0029] Example 1
[0030] like Figure 1As shown, a temperature and humidity control system of a standard curing box based on solar hydrogen includes a solar hydrogen module, a strong and weak electricity control module, a temperature and humidity module, a water circulation module, an intelligent control module, and a maintenance recording module. The solar hydrogen module is respectively connected to the strong and weak electricity control module and the water circulation module, the strong and weak electricity control module is respectively connected to the temperature and humidity module and the intelligent control module, and the temperature and humidity module is respectively connected to the intelligent control module, the water circulation module, and the maintenance recording module.
[0031] The photohydrogen module is used to convert light energy into hydrogen for storage, and to generate hydrogen power to convert hydrogen energy into electrical energy, while releasing heat and water into the environment. The heat release model and humidity model of hydrogen power generation are determined by numerical simulation and experimental methods; the photohydrogen module includes a photovoltaic module, a hydrogen production module, and a hydrogen-electricity module. The photovoltaic module is used to convert light energy into electrical energy. The hydrogen production module produces hydrogen by electrolyzing water and stores hydrogen, such as producing hydrogen by electrolyzing water through proton exchange membrane PEM, and using hydrogen bottles to store gaseous hydrogen. The hydrogen-electricity module generates electricity through hydrogen fuel cells, while releasing heat and water into the environment. The heat release model and humidity model of hydrogen power generation are determined by numerical simulation and experimental methods.
[0032] The strong and weak current control module is used to control the strong and weak current of the system; the strong and weak current control module controls the electrical equipment and equipment signal transmission within the system, and provides overload protection and short circuit protection.
[0033] The temperature and humidity module is used to monitor the ambient temperature and humidity and adjust the temperature and humidity in real time; the temperature and humidity module includes an environment monitoring module, a temperature control module, and a humidification module. The environment monitoring module includes a number of temperature sensors and humidity sensors arranged in a standard maintenance box, which are used to monitor the ambient temperature and humidity in real time. The temperature control module is connected to the temperature sensor and is used to control the temperature within a standard range according to the monitoring data, that is, to control the temperature at 20±2°C. The humidification module is connected to the humidity sensor and is used to control the relative humidity within a standard range according to the monitoring data, that is, to control the relative humidity at more than 95%.
[0034] The water circulation module is used to control the water circulation of the system; the water circulation module includes pipelines connected to the water inlet and outlet of the photohydrogen module and the temperature and humidity module, and a water tank, a water pump, a condensate collector, and a filtering device connected to the pipelines. The filtering device is used to filter and purify the water and condensate at the water outlets of the photohydrogen module and the temperature and humidity module to achieve recycling.
[0035] The intelligent control module has an embedded heat release model and humidity model of hydrogen power generation. It uses a neural network method to intelligently control the temperature and humidity module according to environmental monitoring data to achieve intelligent regulation of temperature and humidity. The neural network method used in the intelligent control module is based on a feedforward neural network, including an input layer, a hidden layer, and an output layer. The input layer inputs the temperature of the temperature sensor, the humidity of the humidity sensor, the hydrogen power generation temperature time series data, and the hydrogen power generation humidity time series data. The output layer outputs temperature and humidity control instructions, which are deployed in the intelligent control module after training.
[0036] The maintenance record module is used to record the maintenance time, temperature, humidity, and hydrogen power generation process data; the data recorded by the maintenance record module is used for temperature and humidity analysis and the correction and iteration of the hydrogen power generation heat release module, humidity module, and neural network method.
[0037] Example 2
[0038] A temperature and humidity control system for a standard curing box based on solar hydrogen comprises a solar hydrogen module, a strong and weak electricity control module, a temperature and humidity module, a water circulation module, an intelligent control module, a maintenance record module, and a temperature and humidity control module for personnel entrances and exits. The solar hydrogen module is respectively connected to the strong and weak electricity control module and the water circulation module, the strong and weak electricity control module is respectively connected to the temperature and humidity module and the intelligent control module, the temperature and humidity module is respectively connected to the intelligent control module, the water circulation module, and the maintenance record module, and the temperature and humidity control module for personnel entrances and exits is respectively connected to the strong and weak electricity control module and the intelligent control module.
[0039] The photohydrogen module is used to convert light energy into hydrogen for storage, and to generate hydrogen power to convert hydrogen energy into electrical energy, while releasing heat and water into the environment. The heat release model and humidity model of hydrogen power generation are determined by numerical simulation and experimental methods; the photohydrogen module includes a photovoltaic module, a hydrogen production module, and a hydrogen-electricity module. The photovoltaic module is used to convert light energy into electrical energy. The hydrogen production module produces hydrogen by electrolyzing water and stores hydrogen, such as producing hydrogen by electrolyzing water through proton exchange membrane PEM, and using hydrogen bottles to store gaseous hydrogen. The hydrogen-electricity module generates electricity through hydrogen fuel cells, while releasing heat and water into the environment. The heat release model and humidity model of hydrogen power generation are determined by numerical simulation and experimental methods.
[0040] The strong and weak current control module is used to control the strong and weak current of the system; the strong and weak current control module controls the electrical equipment and equipment signal transmission within the system, and provides overload protection and short circuit protection.
[0041] The temperature and humidity module is used to monitor the ambient temperature and humidity and adjust the temperature and humidity in real time; the temperature and humidity module includes an environment monitoring module, a temperature control module, and a humidification module. The environment monitoring module includes a number of temperature sensors and humidity sensors arranged in a standard maintenance box, which are used to monitor the ambient temperature and humidity in real time. The temperature control module is connected to the temperature sensor and is used to control the temperature within a standard range according to the monitoring data, that is, to control the temperature at 20±2°C. The humidification module is connected to the humidity sensor and is used to control the relative humidity within a standard range according to the monitoring data, that is, to control the relative humidity at more than 95%.
[0042] The water circulation module is used to control the water circulation of the system; the water circulation module includes pipelines connected to the water inlet and outlet of the photohydrogen module and the temperature and humidity module, and a water tank, a water pump, a condensate collector, and a filtering device connected to the pipelines. The filtering device is used to filter and purify the water and condensate at the water outlets of the photohydrogen module and the temperature and humidity module to achieve recycling.
[0043] The intelligent control module has an embedded heat release model and humidity model of hydrogen power generation. It uses a neural network method to intelligently control the temperature and humidity module according to environmental monitoring data to achieve intelligent regulation of temperature and humidity. The neural network method used in the intelligent control module is based on a feedforward neural network, including an input layer, a hidden layer, and an output layer. The input layer inputs the temperature of the temperature sensor, the humidity of the humidity sensor, the hydrogen power generation temperature time series data, and the hydrogen power generation humidity time series data. The output layer outputs temperature and humidity control instructions, which are deployed in the intelligent control module after training.
[0044] The maintenance record module is used to record the maintenance time, temperature, humidity, and hydrogen power generation process data; the data recorded by the maintenance record module is used for temperature and humidity analysis and the correction and iteration of the hydrogen power generation heat release module, humidity module, and neural network method.
[0045] The personnel entrance and exit temperature and humidity control module includes temperature and humidity sensors, wind speed sensors, and differential pressure sensors arranged at the personnel entrance and exit, which are used to monitor the internal and external air convection and temperature and humidity differences when people enter and exit in real time. The personnel entrance and exit temperature and humidity control module is embedded with an entrance and exit temperature and humidity control model based on a deep reinforcement learning network. It is trained by combining numerical simulation of environmental fluids with monitoring data to obtain an intelligent control strategy for real-time regulation of temperature and humidity at the moment a person opens the door, so as to maintain the local temperature and humidity stability of the entrance and exit, which is convenient for responding to engineering needs in winter, strong winds and other weather conditions.
[0046] The present invention is low-carbon and environmentally friendly. It generates electricity through photovoltaic modules, produces hydrogen through water electrolysis, and generates electricity through hydrogen fuel cells. The whole process is low-carbon and environmentally friendly. Clean energy is used for the whole process of standard curing in the curing box, which effectively reduces the carbon emission in the curing process of building material test blocks. At the same time, it saves water and electricity and has significant economic benefits. In addition to the one-time investment of the product, the present invention does not consume municipal electricity during use, and water resources are recycled to greatly reduce consumption. Moreover, the present invention can be repeatedly applied to various civil engineering projects, and the amortization cost applied to engineering production is low, and the economic benefits are significant. It is precise and intelligent, and gives full play to the heat release and humidification efficiency of hydrogen power generation. A neural network intelligent control method is adopted to give intelligent control instructions for greenhouse humidity control, thereby realizing precise intelligent control.
[0047] The above is an exemplary description of the present invention. Obviously, the specific implementation of the present invention is not limited to the above-mentioned method. As long as various improvements are made using the method concept and technical solution of the present invention, or they are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.
Claims
1. A temperature and humidity control system for a standard curing box based on solar hydrogen, characterized in that: include: The photohydrogen module is used to convert light energy into hydrogen for storage, and then convert hydrogen energy into electrical energy through hydrogen power generation, while releasing heat and water into the environment. The heat release model and humidity model of hydrogen power generation are determined through numerical simulation and experimental methods; Strong and weak current control module, used to control the strong and weak current of the system; Temperature and humidity module, used to monitor ambient temperature and humidity and adjust temperature and humidity in real time; Water circulation module, used to control the water circulation of the system; The intelligent control module has a built-in heat release model and humidity model for hydrogen power generation. It uses a neural network method to intelligently control the temperature and humidity module based on environmental monitoring data to achieve intelligent regulation of temperature and humidity. Maintenance record module, used to record maintenance time, temperature, humidity, and hydrogen power generation process data; The photohydrogen module is connected to the strong and weak electricity control module and the water circulation module respectively. The strong and weak electricity control module is connected to the temperature and humidity module and the intelligent control module respectively. The temperature and humidity module is connected to the intelligent control module, the water circulation module and the maintenance record module respectively.
2. A temperature and humidity control system for a standard curing chamber based on solar hydrogen according to claim 1, characterized in that: The photohydrogen module includes a photovoltaic module, a hydrogen production module, and a hydrogen-electricity module. The photovoltaic module is used to convert light energy into electrical energy. The hydrogen production module produces and stores hydrogen by electrolyzing water. The hydrogen-electricity module generates electricity through hydrogen fuel cells while releasing heat and water into the environment. The heat release model and humidity model of hydrogen power generation are determined through numerical simulation and experimental methods.
3. A temperature and humidity control system for a standard curing chamber based on solar hydrogen according to claim 1, characterized in that: The strong and weak current control module controls the electrical equipment and equipment signal transmission within the system, and provides overload protection and short circuit protection.
4. A temperature and humidity control system for a standard curing chamber based on solar hydrogen according to claim 1, characterized in that: The temperature and humidity module includes an environmental monitoring module, a temperature control module, and a humidification module. The environmental monitoring module includes several temperature sensors and humidity sensors arranged in a standard maintenance box for real-time monitoring of the temperature and humidity of the environment. The temperature control module is connected to the temperature sensor to control the temperature within a standard range according to the monitoring data. The humidification module is connected to the humidity sensor to control the relative humidity within a standard range according to the monitoring data.
5. According to the light hydrogen based standard temperature and humidity control system of claim 1, it is characterized in that: The water circulation module includes pipelines connected to the water inlet and outlet of the photohydrogen module and the temperature and humidity module, and a water tank, a water pump, a condensate collector, and a filtering device connected to the pipelines. The filtering device is used to filter and purify the water and condensate at the water outlets of the photohydrogen module and the temperature and humidity module to achieve recycling.
6. A temperature and humidity control system for a standard curing chamber based on solar hydrogen according to claim 4, characterized in that: The neural network method used in the intelligent control module is based on a feedforward neural network, including an input layer, a hidden layer and an output layer. The input layer inputs the temperature of the temperature sensor, the humidity of the humidity sensor, the hydrogen power generation temperature time series data, and the hydrogen power generation humidity time series data. The output layer outputs temperature and humidity control instructions, which are deployed in the intelligent control module after training.
7. A temperature and humidity control system for a standard curing chamber based on solar hydrogen according to claim 1, characterized in that: The data recorded by the maintenance record module is used for temperature and humidity analysis and the correction and iteration of the hydrogen power generation and heat release module, humidity module, and neural network method.
8. The temperature and humidity control system of a standard curing chamber based on solar hydrogen according to claim 1 is characterized in that: It also includes a temperature and humidity control module for personnel entrances and exits, which are respectively connected to the strong and weak electricity control module and the intelligent control module. The temperature and humidity control module for personnel entrances and exits includes a temperature and humidity sensor, a wind speed sensor, and a differential pressure sensor arranged at the personnel entrance and exit, which are used to monitor the internal and external air convection and the temperature and humidity differences when personnel enter and exit in real time. The temperature and humidity control module for personnel entrances and exits is embedded with an inlet and outlet temperature and humidity control model based on a deep reinforcement learning network, which is trained in combination with numerical simulation of environmental fluids and monitoring data to obtain an intelligent control strategy for real-time regulation of temperature and humidity at the moment a person opens the door, so as to keep the local temperature and humidity of the entrance and exit stable.