Transport system for remediation of organic contaminated soils based on solar heating intensification of saturation

Abstract

This invention relates to the field of organic soil remediation technology. The invention provides a transport system for remediating saturated organic-contaminated soil based on solar heating. The system includes units for data acquisition, integration, data judgment, transmission, and control. It collects solar energy through solar panels and converts it into heat energy. A soil remediation transport control model is trained using a random forest model. The system can adjust the transport of oxygen and heat energy in real time according to soil temperature and •OH concentration to achieve precise remediation. The control unit uses a genetic algorithm to optimize model parameters, reducing errors in heat and •OH concentration and significantly improving remediation efficiency. The system utilizes solar energy to reduce energy consumption and achieves efficient utilization of heat energy through a real-time monitoring and feedback mechanism, thus realizing the remediation of saturated organic-contaminated soil.

Description

Technical Field

[0001] This invention relates to the field of organic contaminated soil remediation technology, and in particular to a transport system for remediating organic contaminated soil in saturated zones based on solar heating. Background Technology

[0002] Groundwater level fluctuations are a natural process. These fluctuations can disturb the reducing environment underground, leading to the introduction of oxygen and transforming the original anaerobic conditions into an aerobic environment. Under aerobic conditions, Fe(II) minerals abundant in the underground environment react with oxygen to generate highly reactive oxygen species, such as hydroxyl radicals (•OH). Hydroxyl radicals (•OH) have extremely high reactivity and can effectively degrade organic pollutants in saturated reducing soils, thus playing a role in the remediation of underground pollution.

[0003] However, the concentration of •OH generated by the disturbance process caused by water level fluctuations in the saturated zone under natural conditions is often low, resulting in unsatisfactory degradation efficiency for pollutants. To improve the generation efficiency of •OH, studies have found that thermal enhancement, i.e., increasing the soil temperature in the saturated zone, can significantly promote the generation of •OH during the oxidation process in the reducing soil of the saturated zone, thereby improving the degradation efficiency of organic pollutants such as phenol. However, traditional heating methods such as electric heating and steam heating are not only energy-intensive, but also suffer from considerable heat loss during steam transportation and recycling in practical applications, reducing the efficiency of steam heating. To overcome these technical shortcomings, this invention provides a system and method for converting solar energy into thermal energy and transferring the thermal energy and oxygen to the saturated zone soil to increase the production of hydroxyl radicals (•OH) in the reducing soil of the saturated zone, thereby promoting the degradation of pollutants. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a transmission system for the remediation of saturated organically contaminated soil based on solar heating. This system solves the problems of traditional heating methods, which not only have high energy consumption but also suffer from significant heat loss during steam transportation and recycling, thus reducing the efficiency of steam heating.

[0005] To solve the above-mentioned technical problems, the specific technical solution of the present invention is as follows:

[0006] The present invention provides a transport system for remediating saturated organically contaminated soil based on solar heating, comprising:

[0007] The data acquisition unit acquires basic soil data of the saturated zone and historical data of the transport system for soil remediation. The integrated data of the saturated zone soil includes solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency and oxygen transport flow. The random forest model is trained using the historical data of the transport system for organic polluted soil remediation and the historical data of the transport system for soil remediation to obtain the transport control model for soil remediation.

[0008] The integrated unit collects solar energy through solar panels and converts it into heat energy. It monitors the heat value of the heat energy to obtain real-time heat energy value, collects the oxygen volume in the oxygen pump to obtain real-time oxygen value, and collects the location of the heat transmission pipeline and the oxygen transmission pipeline.

[0009] The data judgment unit acquires soil information, receives soil zoning requirements, zons the soil according to the requirements, obtains soil zoning data, collects the real-time temperature of each soil zoning using temperature sensors, compares the real-time temperature of each soil zoning with a preset target temperature range, and marks soils below the preset target temperature range as soils to be heated. Soil samples are collected from each soil zoning, and the •OH concentration in the soil samples is determined using a preset chemical analysis method to obtain the •OH concentration of each soil zoning. The •OH concentration of each soil zoning is compared with a preset target concentration range, and if the •OH concentration of a soil zoning is lower than the preset target concentration range, it is marked as soils to be oxygenated.

[0010] The transmission unit inputs the information of the soil to be oxygenated into the transmission control model of soil remediation to obtain oxygen transmission control parameters. The oxygen transmission control parameters are then transmitted to the oxygen pump and oxygen control valve. The oxygen pump and oxygen control valve execute the oxygen transmission control parameters to transmit oxygen to the soil to be oxygenated. The unit also inputs the information of the soil to be heated into the transmission control model of soil remediation to obtain heat transmission control parameters. The heat transmission control parameters are then transmitted to the heat pump and hot gas control valve. The heat pump and hot gas control valve execute the heat transmission control parameters to transmit heat to the soil to be heated.

[0011] The control unit receives the expected temperature and •OH concentration values ​​of the saturated zone soil. It collects the temperature of the soil after receiving heat and compares it with the expected temperature value of the saturated zone soil to obtain a heat error value. It then acquires the soil information corresponding to the heat error value, thus identifying soil information with heat error values. The unit measures the •OH concentration in the soil sample using a preset chemical analysis method. It collects soil samples after receiving oxygen and compares them with the expected •OH concentration value of the saturated zone soil to obtain a •OH concentration error value. It then acquires the soil information corresponding to the •OH concentration error value, thus identifying soil information with •OH concentration error values. Based on the soil information with heat and •OH concentration error values, a genetic algorithm is used to optimize the soil remediation transport control model, resulting in an optimized model. The optimized model is then used to process the data of the soil to be oxygenated and the soil to be heated, yielding optimized oxygen and heat transport control parameters. The optimized oxygen transport control parameters are sent to the oxygen pump and oxygen control valve, and the optimized heat transport control parameters are sent to the heat pump and hot gas control valve.

[0012] Furthermore, in the transmission system for remediation of saturated organically contaminated soil based on solar heating described in this invention, the data acquisition unit is also used for:

[0013] Historical data on the transport system for organic polluted soil remediation were obtained. This historical data included solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, oxygen transport flow rate parameters, and corresponding soil remediation effect data. The basic data of saturated zone soil and the historical data of the transport system for soil remediation were preprocessed to obtain the preprocessed basic data of saturated zone soil and the historical data of the transport system for soil remediation.

[0014] The random forest model was trained using preprocessed basic soil data of the saturated zone and historical data of the soil remediation transport system. The parameters of solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, and oxygen transport flow rate were used as input features, and the soil remediation effect was used as the output target. Through iterative training, the model was able to learn the mapping relationship between solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, oxygen transport flow rate and soil remediation effect, thus obtaining the transport control model for soil remediation.

[0015] Furthermore, in the solar-heated enhanced transport system for the remediation of organically contaminated soil in saturated zones, the integrated unit is also used for:

[0016] Solar energy is collected by solar panels. The solar panels use the photoelectric effect of semiconductor materials to convert sunlight into electrical energy, and then the electrical energy is converted into heat energy through a built-in heat conversion device.

[0017] During the heat energy conversion process, the integrated unit monitors the heat value of the heat energy in real time. The integrated unit also collects the oxygen amount in the oxygen pump. The oxygen pump is the device in the system used to provide oxygen. The oxygen pump is equipped with an oxygen sensor to monitor the oxygen amount in the pump in real time and output the real-time oxygen value.

[0018] The integrated unit also collects the location information of heat transfer pipes and oxygen transfer pipes, and provides the pipe location data in real time through position sensors installed on the pipes.

[0019] Furthermore, in the transmission system for remediation of saturated organically contaminated soil based on solar heating described in this invention, the data judgment unit is also used for:

[0020] For each soil zone, the data judgment unit will collect soil samples, and the collected soil samples will be measured according to the preset chemical analysis method to obtain the •OH concentration data in the soil.

[0021] The pre-defined chemical analysis method includes collecting soil samples for each soil zone, using titration analysis to determine the concentration of •OH in the soil through chemical reactions, and determining the concentration of •OH by color changes or conductivity changes during the titration process.

[0022] The data judgment unit compares the measured •OH concentration of each soil zone with the preset target concentration range. If the •OH concentration of a soil zone is lower than the preset target concentration range, the soil zone is marked as soil to be oxygenated, and oxygen needs to be added to the soil zone to increase the •OH concentration.

[0023] Furthermore, in the solar-heated enhanced remediation system for organically contaminated soil in saturated zones described in this invention, the transmission unit is further used for:

[0024] The transmission unit first receives the soil information to be oxygenated from the judgment unit. The soil information to be oxygenated includes soil zoning, location, and •OH concentration data.

[0025] The soil information to be oxygenated is substituted into the transport control model of soil remediation. Based on the input soil information, the transport control model of soil remediation calculates the optimal oxygen transport control parameters, including oxygen flow rate and oxygen transport time.

[0026] The calculated oxygen delivery control parameters are transmitted to the oxygen pump and oxygen control valve. The oxygen pump starts according to the control parameters and delivers oxygen to the soil area to be oxygenated through the oxygen delivery pipeline. The oxygen control valve adjusts the oxygen flow rate and pressure according to the parameters.

[0027] The transmission unit receives soil information to be heated from the data judgment unit. The soil information to be heated includes soil zoning, location, and temperature data.

[0028] The information of the soil to be heated is substituted into the transport control model of soil remediation. Based on the input information of the soil to be heated, the transport control model of soil remediation calculates the optimal heat transport control parameters, including heat output and transport time.

[0029] The heat pump starts according to the heat transfer control parameters, converts solar energy into heat energy through a heat energy conversion device, and transports the heat energy to the soil area to be heated through heat transfer pipes. The heat control valve adjusts the flow rate and temperature of the heat energy according to the parameters.

[0030] Furthermore, in the solar-heated enhanced transport system for the remediation of organically contaminated soil in saturated zones, the control unit is further configured to:

[0031] Soil information with thermal error values ​​and soil information with •OH concentration error values ​​were collected. The soil information with thermal error values ​​and soil information with •OH concentration error values ​​included soil location, error value magnitude and soil type.

[0032] Based on the expected temperature and •OH concentration of the saturated zone soil, the optimization objective is determined. The optimization objective is to reduce the error values ​​of heat and •OH concentration, so that the soil condition is close to the expected temperature and expected •OH concentration values.

[0033] Initialize the population by randomly generating a certain number of initial design schemes, i.e., populations, based on the parameter range of the transport control model for soil remediation. Each design scheme represents a set of model parameters.

[0034] Based on the heat error value and the •OH concentration error value, a fitness function is constructed. The fitness function is used to evaluate the merits of each design scheme, which is each individual design scheme.

[0035] Based on the fitness function, individuals with higher fitness are selected from the population as parents for subsequent crossover and mutation operations.

[0036] Crossover operation: Perform a crossover operation on the selected parent individuals to generate new child individuals;

[0037] Mutation operations involve performing mutations on offspring individuals to introduce new genotypes and increase population diversity.

[0038] Iterative optimization involves repeatedly performing crossover and mutation operations until the preset maximum number of iterations is reached. In each iteration, a new population is generated, and the individual with the highest fitness is selected from the final population as the parameter of the optimized soil remediation transport control model.

[0039] The optimized oxygen delivery control parameters are sent to the oxygen pump and oxygen control valve to guide the delivery of oxygen.

[0040] The optimized heat transfer control parameters are sent to the heat pump unit and the hot gas control valves to guide heat transfer. The beneficial effects of this invention are as follows:

[0041] The system utilizes solar energy, a renewable energy source, for heating, significantly reducing energy consumption as there are no additional costs associated with solar energy utilization. The built-in heat conversion device directly converts electrical energy into heat energy, effectively reducing heat loss during heat transfer and recovery, thereby improving heat utilization efficiency. The system employs an intelligent control system, combining a data acquisition unit and advanced algorithm models to achieve precise control of soil temperature and •OH concentration, significantly improving heating and oxygen delivery efficiency. The integrated unit monitors the heat value of the thermal energy and the oxygen quantity in the oxygen pump in real time, while the data judgment unit collects soil temperature and •OH concentration in real time. This information is promptly fed back through the transmission and control units for precise adjustment of heat and oxygen delivery.

[0042] The control unit uses a genetic algorithm to optimize the transport control model for soil remediation, resulting in optimized oxygen and heat transport control parameters, further improving the system's heating and oxygen delivery efficiency. The data processing unit divides the soil into different zones and adjusts heating and oxygen delivery according to the actual needs of each zone. This zoned management approach effectively avoids energy waste caused by uniform heating and oxygen delivery. The system utilizes solar energy for heating, reducing dependence on fossil fuels and lowering carbon emissions, fully complying with environmental protection requirements. By precisely controlling soil temperature and •OH concentration, the system effectively promotes the degradation of organic pollutants in the soil, significantly improving the soil remediation effect. The system can adjust to different soil and environmental conditions, demonstrating strong adaptability and suitability for the remediation of various types of organically contaminated soils.

[0043] Because the system makes full use of free solar energy resources and effectively reduces heat loss and unnecessary energy consumption, the system's operating costs are significantly reduced. Attached Figure Description

[0044] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on the drawings without creative effort.

[0045] Figure 1 This is a schematic diagram of the unit modules included in the transmission system for remediation of organically contaminated soil in saturated zones based on solar heating, provided in an embodiment of the present invention. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention. The technical solutions provided by various embodiments of this invention will be described in detail below with reference to the accompanying drawings.

[0047] To better understand the purpose of this invention, the invention will now be described in further detail.

[0048] The present invention provides a transport system for remediating saturated organically contaminated soil based on solar heating, comprising:

[0049] The data acquisition unit acquires basic soil data of the saturated zone and historical data of the transport system for soil remediation. The integrated data of the saturated zone soil includes solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency and oxygen transport flow. The random forest model is trained using the historical data of the transport system for organic polluted soil remediation and the historical data of the transport system for soil remediation to obtain the transport control model for soil remediation.

[0050] Basic data for obtaining saturated zone soil includes solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, and oxygen transport flow rate. Historical data on the soil remediation transport system includes historical records related to soil remediation, such as solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, oxygen transport flow rate parameters, and corresponding soil remediation effect data.

[0051] Preprocessing was performed on the acquired basic data of saturated zone soil and historical data of soil remediation transmission system to improve data quality and consistency, providing a reliable data foundation for subsequent model training.

[0052] A random forest model was trained using preprocessed data. During training, solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, and oxygen transport flow rate were used as input features, and soil remediation effect was used as the output target. Through iterative training, the model learned the mapping relationship between the input features and the output target, thus obtaining a transport control model for soil remediation. This model can predict the effect of soil remediation based on input soil and environmental parameters, providing guidance for actual soil remediation processes.

[0053] The integrated unit collects solar energy through solar panels and converts it into heat energy. It monitors the heat value of the heat energy to obtain real-time heat energy value, collects the oxygen volume in the oxygen pump to obtain real-time oxygen value, and collects the location of the heat transmission pipeline and the oxygen transmission pipeline.

[0054] The integrated unit utilizes solar panels to collect solar energy. These panels, made of semiconductor materials, convert sunlight into electrical energy using the photoelectric effect. Through a built-in heat conversion device, the solar panels further convert the converted electrical energy into heat energy, providing the necessary heat for the soil remediation system. During the heat conversion and transfer process, the integrated unit monitors the heat value in real time. This improves the accurate transfer and efficient utilization of heat energy, enhancing the overall energy efficiency of the system.

[0055] The integrated unit is also responsible for monitoring the oxygen level in the oxygen pump. The oxygen pump is a key device in the system for providing oxygen. It is equipped with an oxygen sensor that can monitor the oxygen level in the pump in real time and output real-time oxygen values, thereby improving the stability of the oxygen supply.

[0056] In addition, the integrated unit also collects location information for heat transfer pipes and oxygen transfer pipes. This information is provided in real time by position sensors installed on the pipes, improving the accuracy of pipe location and transmission efficiency, and avoiding energy loss or transmission delays caused by incorrect pipe positioning.

[0057] In summary, the integrated unit efficiently collects solar energy through solar panels and converts it into heat energy. At the same time, it monitors the heat energy value, the oxygen quantity in the oxygen pump, and the location information of the heat and oxygen transmission pipelines in real time, providing a stable and reliable energy and oxygen supply for the entire soil remediation system.

[0058] The data judgment unit acquires soil information, receives soil zoning requirements, zons the soil according to the requirements, obtains soil zoning data, collects the real-time temperature of each soil zoning using temperature sensors, compares the real-time temperature of each soil zoning with a preset target temperature range, and marks soils below the preset target temperature range as soils to be heated. Soil samples are collected from each soil zoning, and the •OH concentration in the soil samples is determined using a preset chemical analysis method to obtain the •OH concentration of each soil zoning. The •OH concentration of each soil zoning is compared with a preset target concentration range, and if the •OH concentration of a soil zoning is lower than the preset target concentration range, it is marked as soils to be oxygenated.

[0059] The data assessment unit first obtains basic data on the current saturated soil, including key information such as soil type, pollutant distribution, and soil moisture, to provide a basis for subsequent soil classification and remediation work.

[0060] Based on user or system-defined requirements, the data assessment unit receives soil zoning request information. This information clarifies the purpose of the zoning (e.g., improving remediation efficiency, reducing resource consumption, etc.) and the zoning method (e.g., by pollution level, soil type, etc.), providing guidance for soil zoning.

[0061] Based on the received soil classification requirements, the data analysis unit divides the soil into different zones. Each zone has similar levels of pollution, soil type, or other key characteristics to facilitate targeted remediation measures.

[0062] The data processing unit collects temperature data for each soil zone in real time using temperature sensors installed in the soil. This provides accurate data support for assessing soil conditions and determining whether heating is necessary.

[0063] The data analysis unit compares the collected soil temperature with a preset target temperature range. If the soil temperature is lower than the preset target temperature range, it indicates that the area needs to be heated to promote soil remediation, and therefore the soil zone is marked as soil to be heated.

[0064] To further understand soil conditions, the data assessment unit collected soil samples from each soil zone. The collected soil samples were then analyzed using a pre-defined chemical analysis method to obtain the •OH concentration data. •OH concentration is one of the important indicators for evaluating soil remediation effectiveness. If the •OH concentration of a soil zone is lower than the pre-defined target concentration range, it indicates that the area needs oxygenation to promote the degradation of organic pollutants in the soil; therefore, this soil zone is marked as soil requiring oxygenation.

[0065] The transmission unit inputs the information of the soil to be oxygenated into the transmission control model of soil remediation to obtain oxygen transmission control parameters. The oxygen transmission control parameters are then transmitted to the oxygen pump and oxygen control valve. The oxygen pump and oxygen control valve execute the oxygen transmission control parameters to transmit oxygen to the soil to be oxygenated. The unit also inputs the information of the soil to be heated into the transmission control model of soil remediation to obtain heat transmission control parameters. The heat transmission control parameters are then transmitted to the heat pump and hot gas control valve. The heat pump and hot gas control valve execute the heat transmission control parameters to transmit heat to the soil to be heated.

[0066] The transmission unit receives soil information for oxygen delivery from the data judgment unit, including soil zoning, location, and •OH concentration data. This information is then fed into the soil remediation transmission control model, which calculates the optimal oxygen delivery control parameters, including oxygen flow rate and delivery time. The calculated oxygen delivery control parameters are subsequently transmitted to the oxygen pump and oxygen control valves.

[0067] The oxygen pump starts according to the received control parameters, delivering oxygen through the oxygen transmission pipeline to the soil area to be oxygenated. The oxygen control valve adjusts the oxygen flow and pressure according to the parameters to improve the accurate and efficient delivery of oxygen to the target area. The transmission unit receives soil information to be heated from the data judgment unit, including soil zoning, location, and temperature data.

[0068] This information is then fed into the heat transfer control model for soil remediation. The model calculates the optimal heat transfer control parameters based on the input information, including heat output and transfer time. These calculated parameters are then transmitted to the heat pump and the heat gas control valves.

[0069] The heat pump starts according to the received control parameters, converts solar energy into heat energy through a heat energy conversion device, and delivers the heat energy to the soil area to be heated through heat transmission pipes. The hot gas control valve adjusts the flow rate and temperature of the heat energy according to the parameters to improve the accurate and efficient delivery of heat energy to the target area.

[0070] Through the above steps, the transmission unit successfully transforms the soil information to be processed into specific control parameters and transmits them to the corresponding equipment for operation, thus achieving precise remediation of saturated soil with organic pollution.

[0071] The control unit receives the expected temperature and •OH concentration values ​​of the saturated zone soil. It collects the temperature of the soil after receiving heat and compares it with the expected temperature value of the saturated zone soil to obtain a heat error value. It then acquires the soil information corresponding to the heat error value, thus identifying soil information with heat error values. The unit measures the •OH concentration in the soil sample using a preset chemical analysis method. It collects soil samples after receiving oxygen and compares them with the expected •OH concentration value of the saturated zone soil to obtain a •OH concentration error value. It then acquires the soil information corresponding to the •OH concentration error value, thus identifying soil information with •OH concentration error values. Based on the soil information with heat and •OH concentration error values, a genetic algorithm is used to optimize the soil remediation transport control model, resulting in an optimized model. The optimized model is then used to process the data of the soil to be oxygenated and the soil to be heated, yielding optimized oxygen and heat transport control parameters. The optimized oxygen transport control parameters are sent to the oxygen pump and oxygen control valve, and the optimized heat transport control parameters are sent to the heat pump and hot gas control valve.

[0072] The control unit first receives the expected temperature and expected •OH concentration values ​​of the saturated zone soil. These expected values ​​are set based on soil remediation goals and actual conditions, providing a baseline for subsequent control and optimization. Temperature data of the soil after heat reception is collected, and temperature sensors are used to acquire the actual soil temperature data in real time.

[0073] The actual soil temperature is compared with the expected temperature value to calculate the heat error value. This error value reflects the difference between the soil temperature and the expected value, and is an important basis for subsequent optimization control.

[0074] Based on the heat error value, the control unit can acquire corresponding soil information, i.e., soil information where heat error values ​​exist. This information includes the soil's location, type, and degree of contamination, which helps to pinpoint problem areas and implement targeted treatment. •OH concentration measurement and comparison: Soil samples are collected after oxygen absorption, and the •OH concentration in the soil is measured according to a preset chemical analysis method. The measured •OH concentration is compared with the expected •OH concentration value to calculate the •OH concentration error value. This error value reflects the difference between the soil's •OH concentration and the expected value, and is also used for subsequent optimization control.

[0075] Based on the •OH concentration error value, the control unit can acquire corresponding soil information, i.e., soil information where •OH concentration error values ​​exist. This information also includes soil location, type, and pollution level, providing crucial data for optimized control. Based on the soil information containing both heat and •OH concentration error values, the control unit uses a genetic algorithm to optimize the soil remediation transport control model. Through continuous iteration and adjustment of model parameters, the model can more accurately reflect the actual situation and needs during the soil remediation process.

[0076] An optimized soil remediation transport control model was used to process data on soil information requiring oxygen delivery and soil information requiring heating. Based on the model calculations, optimized oxygen and heat transport control parameters were obtained. The optimized oxygen transport control parameters were then sent to the oxygen pump and oxygen control valves to guide precise oxygen transport operations. Similarly, the optimized heat transport control parameters were sent to the heat pump and heat control valves to guide precise heat transport operations.

[0077] Specifically, in the transmission system for remediation of saturated organically contaminated soil based on solar heating as described in this invention, the data acquisition unit is further used for:

[0078] Historical data on the transport system for organic polluted soil remediation were obtained. This historical data included solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, oxygen transport flow rate parameters, and corresponding soil remediation effect data. The basic data of saturated zone soil and the historical data of the transport system for soil remediation were preprocessed to obtain the preprocessed basic data of saturated zone soil and the historical data of the transport system for soil remediation.

[0079] The random forest model was trained using preprocessed basic soil data of the saturated zone and historical data of the soil remediation transport system. The parameters of solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, and oxygen transport flow rate were used as input features, and the soil remediation effect was used as the output target. Through iterative training, the model was able to learn the mapping relationship between solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, oxygen transport flow rate and soil remediation effect, thus obtaining the transport control model for soil remediation.

[0080] The data acquisition unit first obtained a large amount of historical data on the transport system of organically contaminated soil remediation. This data covers key parameters such as solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, and oxygen transport flow rate. This data forms the basis for evaluating soil remediation effectiveness and training models.

[0081] After acquiring the raw data, the data acquisition unit preprocesses it. This preprocessing includes data cleaning (removing invalid or erroneous data), missing value imputation (filling in incomplete data), and outlier handling (correcting data that deviates from the normal range). The purpose of this step is to improve the accuracy and reliability of the data, laying a solid foundation for subsequent training.

[0082] After preprocessing, the data acquisition unit uses this data to train a random forest model. In this process, parameters such as solar radiation intensity, soil temperature, •OH concentration, pollutant concentration, heat transfer efficiency, and oxygen transport flow rate are used as input features, while the soil remediation effect is set as the output target.

[0083] Through iterative training, the random forest model can learn the mapping relationship between these input features and soil remediation effects. This mapping relationship helps us understand the impact of different parameters on soil remediation effects and provides a basis for subsequent prediction and optimization.

[0084] After training, the random forest model can predict the optimal soil remediation control parameters (such as oxygen flow rate, oxygen delivery time, and heat output) based on the input soil parameters (such as solar radiation intensity and soil temperature). These control parameters are key to achieving precise control of the soil remediation process.

[0085] In summary, the data acquisition unit acquires and processes historical data on the transport system of organic polluted soil remediation, and uses this data to train a random forest model that can predict and optimize the soil remediation process, ultimately obtaining an effective transport control model for soil remediation.

[0086] Specifically, in the solar-heated enhanced remediation system for organically contaminated soil in saturated zones, the integrated unit of the present invention is further used for:

[0087] Solar energy is collected by solar panels. The solar panels use the photoelectric effect of semiconductor materials to convert sunlight into electrical energy, and then the electrical energy is converted into heat energy through a built-in heat conversion device.

[0088] During the heat energy conversion process, the integrated unit monitors the heat value of the heat energy in real time. The integrated unit also collects the oxygen amount in the oxygen pump. The oxygen pump is the device in the system used to provide oxygen. The oxygen pump is equipped with an oxygen sensor to monitor the oxygen amount in the pump in real time and output the real-time oxygen value.

[0089] The integrated unit also collects the location information of heat transfer pipes and oxygen transfer pipes, and provides the pipe location data in real time through position sensors installed on the pipes.

[0090] The integrated unit first collects solar energy using solar panels. These panels contain semiconductor materials; when sunlight shines on them, a photoelectric effect occurs, converting the sunlight into electrical energy. The integrated unit's built-in thermal conversion device further converts the converted electrical energy into heat energy. This step achieves efficient utilization of solar energy, providing the necessary heat for the soil remediation process.

[0091] During the heat conversion process, the integrated unit monitors the calorific value of the heat energy in real time. This function improves the effective management and control of heat energy, enabling the system to adjust the heat energy output according to actual conditions to meet the needs of soil remediation.

[0092] The integration unit is also responsible for collecting the oxygen level in the oxygen pump. The oxygen pump is a key device in the system for providing oxygen, and it contains an oxygen sensor. The oxygen sensor monitors the oxygen level in the pump in real time and outputs real-time oxygen values. These values ​​are processed and recorded by the integration unit for subsequent system control and optimization.

[0093] The integrated unit is also responsible for collecting location information of the heat and oxygen transport pipelines. This function is achieved through position sensors installed on the pipelines, which provide real-time location data. Location data is crucial for improving the precision control and optimization of the transport system. By monitoring the pipeline position in real time, the system can adjust the transport path and speed accordingly to achieve a more efficient soil remediation process.

[0094] In summary, the integrated unit achieves efficient utilization of solar energy, precise transmission of heat and oxygen, and real-time monitoring and control of all system components through multiple functions, including collecting solar energy and converting it into heat energy, real-time monitoring of the heat energy's calorific value, collecting oxygen levels in the oxygen pump, and collecting location information of the heat and oxygen transmission pipelines. These functions collectively constitute the core value of the integrated unit, providing strong support for transmission systems based on solar heating to enhance the remediation of saturated organically contaminated soil.

[0095] Specifically, in the transmission system for remediation of saturated organically contaminated soil based on solar heating as described in this invention, the data judgment unit is further used for:

[0096] For each soil zone, the data judgment unit will collect soil samples, and the collected soil samples will be measured according to the preset chemical analysis method to obtain the •OH concentration data in the soil.

[0097] The pre-defined chemical analysis method includes collecting soil samples for each soil zone, using titration analysis to determine the concentration of •OH in the soil through chemical reactions, and determining the concentration of •OH by color changes or conductivity changes during the titration process.

[0098] The data judgment unit compares the measured •OH concentration of each soil zone with the preset target concentration range. If the •OH concentration of a soil zone is lower than the preset target concentration range, the soil zone is marked as soil to be oxygenated, and oxygen needs to be added to the soil zone to increase the •OH concentration.

[0099] The data analysis unit first acquires soil information and then divides the soil into different zones based on the required soil classification information. For each soil zone, the data analysis unit collects soil samples to improve the accuracy and representativeness of subsequent analyses.

[0100] The collected soil samples will be analyzed according to a pre-defined chemical analysis method to obtain the concentration of •OH in the soil. The pre-defined chemical analysis method mainly includes titration analysis, which determines the concentration of •OH in the soil through a chemical reaction. During the titration process, the concentration of •OH can be determined by observing changes in color or conductivity.

[0101] The data assessment unit compares the measured •OH concentration of each soil zone with a preset target concentration range to evaluate whether the •OH concentration in the soil has reached the expected level. If the •OH concentration of a soil zone is lower than the preset target concentration range, the data assessment unit marks that soil zone as needing oxygenation. This indicates that the area needs additional oxygen to increase the •OH concentration, thereby promoting the degradation of organic pollutants and the effectiveness of soil remediation.

[0102] In summary, the data assessment unit, through steps such as soil sample collection, •OH concentration measurement, concentration comparison, and labeling of soil to be oxygenated, achieves precise monitoring and management of the soil remediation process. This provides strong support for improving soil remediation effectiveness and efficiency.

[0103] Specifically, in the transmission system for remediation of saturated organically contaminated soil based on solar heating as described in this invention, the transmission unit is further used for:

[0104] The transmission unit first receives the soil information to be oxygenated from the judgment unit. The soil information to be oxygenated includes soil zoning, location, and •OH concentration data.

[0105] The soil information to be oxygenated is substituted into the transport control model of soil remediation. Based on the input soil information, the transport control model of soil remediation calculates the optimal oxygen transport control parameters, including oxygen flow rate and oxygen transport time.

[0106] The calculated oxygen delivery control parameters are transmitted to the oxygen pump and oxygen control valve. The oxygen pump starts according to the control parameters and delivers oxygen to the soil area to be oxygenated through the oxygen delivery pipeline. The oxygen control valve adjusts the oxygen flow rate and pressure according to the parameters.

[0107] The transmission unit receives soil information to be heated from the data judgment unit. The soil information to be heated includes soil zoning, location, and temperature data.

[0108] The information of the soil to be heated is substituted into the transport control model of soil remediation. Based on the input information of the soil to be heated, the transport control model of soil remediation calculates the optimal heat transport control parameters, including heat output and transport time.

[0109] The heat pump starts according to the heat transfer control parameters, converts solar energy into heat energy through a heat energy conversion device, and transports the heat energy to the soil area to be heated through heat transfer pipes. The heat control valve adjusts the flow rate and temperature of the heat energy according to the parameters.

[0110] The transmission unit first receives soil information to be oxygenated from the data judgment unit. This information includes detailed data on soil zoning, specific locations, and •OH concentration, providing accurate baseline data for subsequent operations. The transmission unit then incorporates this soil information into the soil remediation transmission control model. This model intelligently calculates the optimal oxygen transmission control parameters based on the input soil information. These parameters specifically cover oxygen flow rate and oxygen transmission time, improving the accuracy and efficiency of oxygen transmission.

[0111] Once the oxygen delivery control parameters are calculated, the transmission unit quickly transmits these parameters to the oxygen pump and oxygen control valve. The oxygen pump immediately starts based on the received parameters, precisely delivering oxygen to the soil area requiring oxygen delivery through the oxygen delivery pipeline. Simultaneously, the oxygen control valve also precisely adjusts the oxygen flow rate and pressure according to the parameters, improving the stability and effectiveness of oxygen delivery.

[0112] In addition to processing the information on soil to be oxygenated, the transmission unit is also responsible for receiving the information on soil to be heated sent by the data judgment unit. The information on soil to be heated includes soil zoning, specific location and temperature data, providing an accurate target for heat energy transmission.

[0113] The transmission unit inputs information about the soil to be heated into the soil remediation transmission control model, which then calculates the optimal heat transmission control parameters based on this information. These parameters specifically include heat output and transmission time, improving the accuracy and efficiency of heat transmission.

[0114] The heat pump unit starts according to heat transfer control parameters, efficiently converting solar energy into heat energy through a heat energy conversion device. The heat energy is then accurately delivered to the soil area to be heated through heat transfer pipes. At the same time, the hot gas control valves also precisely adjust the flow rate and temperature of the heat energy according to the parameters, improving the stability and effectiveness of heat energy transfer.

[0115] In summary, the transmission unit achieves precise control and management of the soil remediation process by receiving information on the soil to be oxygenated and the soil to be heated, calculating oxygen delivery control parameters and heat transfer control parameters, and accurately transferring oxygen and heat energy to the target soil area. This process not only improves the efficiency and quality of soil remediation but also enhances the effective utilization of resources and the sustainable development of the environment.

[0116] Specifically, in the solar-heated enhanced remediation system for organically contaminated soil in saturated zones, the control unit of the present invention is further configured to:

[0117] Soil information with thermal error values ​​and soil information with •OH concentration error values ​​were collected. The soil information with thermal error values ​​and soil information with •OH concentration error values ​​included soil location, error value magnitude and soil type.

[0118] Based on the expected temperature and •OH concentration of the saturated zone soil, the optimization objective is determined. The optimization objective is to reduce the error values ​​of heat and •OH concentration, so that the soil condition is close to the expected temperature and expected •OH concentration values.

[0119] Initialize the population by randomly generating a certain number of initial design schemes, i.e., populations, based on the parameter range of the transport control model for soil remediation. Each design scheme represents a set of model parameters.

[0120] Based on the heat error value and the •OH concentration error value, a fitness function is constructed. The fitness function is used to evaluate the merits of each design scheme, which is each individual design scheme.

[0121] Based on the fitness function, individuals with higher fitness are selected from the population as parents for subsequent crossover and mutation operations.

[0122] Crossover operation: Perform a crossover operation on the selected parent individuals to generate new child individuals;

[0123] Mutation operations involve performing mutations on offspring individuals to introduce new genotypes and increase population diversity.

[0124] Iterative optimization involves repeatedly performing crossover and mutation operations until the preset maximum number of iterations is reached. In each iteration, a new population is generated, and the individual with the highest fitness is selected from the final population as the parameter of the optimized soil remediation transport control model.

[0125] The optimized oxygen delivery control parameters are sent to the oxygen pump and oxygen control valve to guide the delivery of oxygen.

[0126] The optimized heat transfer control parameters are sent to the heat pump unit and the hot gas control valves to guide the heat transfer.

[0127] The control unit first receives the expected temperature and expected •OH concentration values ​​of the saturated zone soil. After receiving heat, the soil temperature is collected and compared with the expected temperature value to obtain a heat error value. After receiving oxygen, soil samples are collected and compared with the expected •OH concentration value to obtain a •OH concentration error value. Finally, the soil information corresponding to these error values ​​is obtained, including soil location, error magnitude, and soil type.

[0128] Based on the received expected temperature and •OH concentration values ​​of the saturated zone soil, the control unit defines the optimization objective: to reduce the thermal error and •OH concentration error, so that the soil condition is as close as possible to the expected temperature and •OH concentration values.

[0129] The population is initialized by the control unit randomly generating a certain number of initial design schemes based on the parameter range of the transport control model for soil remediation. These design schemes together constitute the population. Each design scheme represents a set of model parameters.

[0130] A fitness function is constructed using the heat error value and the •OH concentration error value. The control unit constructs the fitness function.

[0131] This function is used to evaluate the merits of each design scheme, with each scheme treated as an individual.

[0132] Parent individuals are selected. The control unit selects individuals with high fitness from the population based on the fitness function to serve as parents for subsequent crossover and mutation operations.

[0133] Crossover and mutation operations are performed. For selected parent individuals, the control unit performs a crossover operation to generate new offspring individuals. Mutation operations are then performed on the offspring individuals to introduce new genotypes, thereby increasing population diversity.

[0134] Iterative optimization involves the control unit repeatedly performing crossover and mutation operations until a preset maximum number of iterations is reached. During each iteration, a new population is generated, and the individual with the highest fitness is selected from the final population as the parameter for the optimized soil remediation transport control model.

[0135] The control unit sends optimized oxygen delivery control parameters to the oxygen pump and oxygen control valves to guide precise oxygen delivery. Optimized heat delivery control parameters are sent to the heat pump and heat control valves to guide efficient heat delivery.

[0136] In summary, the control unit, through this series of complex and precise operations, optimizes and regulates the soil remediation process. This not only ensures that soil temperature and •OH concentration reach the expected values, but also improves the effectiveness and efficiency of soil remediation.

[0137] This invention solves the problems of high energy consumption, large heat loss during steam transportation and recycling, and low steam heating efficiency in traditional heating methods through the following means:

[0138] This invention uses solar panels to collect solar energy and convert it into heat energy. Compared with traditional electric heating and steam heating, this method significantly reduces energy consumption because solar energy is a renewable energy source that does not incur additional costs during its utilization and reduces dependence on fossil fuels. Through a built-in heat conversion device, this invention can directly convert electrical energy into heat energy, reducing heat loss during heat transmission and recovery. This direct conversion method improves the efficiency of heat energy utilization and reduces energy loss during transmission.

[0139] This invention employs an intelligent control system that acquires basic soil data and historical remediation data through a data acquisition unit, and uses a random forest model to train a transport control model for soil remediation. This model enables precise control of soil temperature and •OH concentration, thereby improving the efficiency of heating and oxygenation and reducing unnecessary energy consumption.

[0140] The integrated unit monitors the heat value of thermal energy and the oxygen level in the oxygen pump in real time, while the data judgment unit collects soil temperature and •OH concentration in real time. This information is fed back promptly through the transmission and control units to adjust the transfer of heat and oxygen. This real-time monitoring and feedback mechanism improves the efficient use of energy and avoids energy waste.

[0141] The control unit uses a genetic algorithm to optimize the transport control model for soil remediation, obtaining optimized oxygen and heat transport control parameters. These optimized parameters further improve heating and oxygen transport efficiency, reduce energy consumption, and make the entire system more efficient and energy-saving.

[0142] The data processing unit divides the soil into different zones and heats and oxygenates the soil according to the actual needs of each zone. This zoned management approach avoids the energy waste caused by uniform heating and oxygenation, because each zone can be independently controlled according to its actual needs, achieving precise energy allocation.

[0143] By utilizing solar energy, a renewable energy source, this invention reduces reliance on fossil fuels, lowers carbon emissions, and meets environmental protection requirements. This environmentally friendly heating method not only reduces energy consumption but also helps protect the Earth's environment.

[0144] In summary, this invention effectively solves the problems of high energy consumption, large heat loss, and low heating efficiency of traditional heating methods by utilizing solar energy for heating, reducing heat loss, employing an intelligent control system, real-time monitoring and feedback, optimizing model parameters, implementing zoned management, and being environmentally friendly.

Claims

1. A transport system for remediating saturated organically contaminated soil based on solar heating, characterized in that, include: The data acquisition unit acquires basic soil data of the saturated zone and historical data of the transport system for soil remediation. The integrated data of the saturated zone soil includes solar radiation intensity, soil temperature, ·OH concentration, pollutant concentration, heat transfer efficiency and oxygen transport flow. The random forest model is trained using the historical data of the transport system for organic polluted soil remediation and the historical data of the transport system for soil remediation to obtain the transport control model for soil remediation. The integrated unit collects solar energy through solar panels and converts it into heat energy. It monitors the heat value of the heat energy to obtain real-time heat energy value, collects the oxygen volume in the oxygen pump to obtain real-time oxygen value, and collects the location of the heat transmission pipeline and the oxygen transmission pipeline. The data judgment unit acquires soil information, receives soil zoning requirements, zons the soil according to the requirements, obtains soil zoning data, collects the real-time temperature of each soil zoning using temperature sensors, compares the real-time temperature of each soil zoning with a preset target temperature range, and marks soils below the preset target temperature range as soils to be heated. Soil samples are collected from each soil zoning, and the ·OH concentration in the soil samples is determined using a preset chemical analysis method to obtain the ·OH concentration of each soil zoning. The ·OH concentration of each soil zoning is compared with a preset target concentration range, and if the ·OH concentration of a soil zoning is below the preset target concentration range, it is marked as soils to be oxygenated. The transmission unit inputs the information of the soil to be oxygenated into the transmission control model of soil remediation to obtain oxygen transmission control parameters. The oxygen transmission control parameters are then transmitted to the oxygen pump and oxygen control valve. The oxygen pump and oxygen control valve execute the oxygen transmission control parameters to transmit oxygen to the soil to be oxygenated. The unit also inputs the information of the soil to be heated into the transmission control model of soil remediation to obtain heat transmission control parameters. The heat transmission control parameters are then transmitted to the heat pump and hot gas control valve. The heat pump and hot gas control valve execute the heat transmission control parameters to transmit heat to the soil to be heated. The control unit receives the expected temperature and ·OH concentration values ​​of the saturated zone soil. It collects the temperature of the soil after receiving heat and compares it with the expected temperature of the saturated zone soil to obtain a heat error value. It then acquires the soil information corresponding to the heat error value, thus obtaining soil information with heat error values. The unit measures the ·OH concentration in the soil sample using a preset chemical analysis method. It collects soil samples after receiving oxygen and compares them with the expected ·OH concentration value of the saturated zone soil to obtain a ·OH concentration error value. It then acquires the soil information corresponding to the ·OH concentration error value, thus obtaining soil information with ·OH concentration error values. Based on the soil information with heat and ·OH concentration error values, it uses a genetic algorithm to optimize the soil remediation transport control model, resulting in an optimized model. The optimized model is then used to process the data of the soil to be oxygenated and the soil to be heated, yielding optimized oxygen transport control parameters and optimized heat transport control parameters. The optimized oxygen transport control parameters are then sent to the oxygen pump and oxygen control valve, and the optimized heat transport control parameters are sent to the heat pump and hot gas control valve. The data judgment unit is also used for: For each soil zone, the data judgment unit will collect soil samples, and the collected soil samples will be measured according to the preset chemical analysis method to obtain the ·OH concentration data in the soil. The pre-set chemical analysis method includes collecting soil samples for each soil zone, using titration analysis to determine the concentration of ·OH in the soil through chemical reactions, and determining the concentration of ·OH by color changes or conductivity changes during the titration process; The data judgment unit compares the measured ·OH concentration of each soil zone with the preset target concentration range. If the ·OH concentration of a soil zone is lower than the preset target concentration range, the soil zone is marked as soil to be oxygenated, and oxygen needs to be added to the soil zone to increase the ·OH concentration. The transmission unit is further configured to: The transmission unit first receives the soil information to be oxygenated from the judgment unit. The soil information to be oxygenated includes soil zoning, location, and ·OH concentration data. The soil information to be oxygenated is substituted into the transport control model of soil remediation. Based on the input soil information, the transport control model of soil remediation calculates the optimal oxygen transport control parameters, including oxygen flow rate and oxygen transport time. The calculated oxygen delivery control parameters are transmitted to the oxygen pump and oxygen control valve. The oxygen pump starts according to the control parameters and delivers oxygen to the soil area to be oxygenated through the oxygen delivery pipeline. The oxygen control valve adjusts the oxygen flow rate and pressure according to the parameters. The transmission unit receives soil information to be heated from the data judgment unit. The soil information to be heated includes soil zoning, location, and temperature data. The information of the soil to be heated is substituted into the transport control model of soil remediation. Based on the input information of the soil to be heated, the transport control model of soil remediation calculates the optimal heat transport control parameters, including heat output and transport time. The heat pump starts according to the heat transfer control parameters, converts solar energy into heat energy through the heat energy conversion device, and transports the heat energy to the soil area to be heated through the heat transfer pipeline. The heat control valve adjusts the flow rate and temperature of the heat energy according to the parameters. The control unit is also used for: Soil information with thermal error values ​​and soil information with ·OH concentration error values ​​were collected. The soil information with thermal error values ​​and soil information with ·OH concentration error values ​​included soil location, error value magnitude and soil type. Based on the expected temperature and OH concentration of the saturated zone soil, the optimization objective is determined. The optimization objective is to reduce the error values ​​of heat and OH concentration, so that the soil condition is close to the expected temperature and OH concentration values. Initialize the population by randomly generating a certain number of initial design schemes, i.e., populations, based on the parameter range of the transport control model for soil remediation. Each design scheme represents a set of model parameters. Based on the heat error value and the ·OH concentration error value, a fitness function is constructed. The fitness function is used to evaluate the merits of each design scheme, which is each individual design scheme. Based on the fitness function, individuals with higher fitness are selected from the population as parents for subsequent crossover and mutation operations; Crossover operation: Perform a crossover operation on the selected parent individuals to generate new child individuals; Mutation operations involve performing mutations on offspring individuals to introduce new genotypes and increase population diversity. Iterative optimization involves repeatedly performing crossover and mutation operations until the preset maximum number of iterations is reached. In each iteration, a new population is generated, and the individual with the highest fitness is selected from the final population as the parameter of the optimized soil remediation transport control model. The optimized oxygen transfer control parameters are sent to the oxygen pump and oxygen control valve to guide oxygen transfer; the optimized heat transfer control parameters are sent to the heat pump and heat control valve to guide heat transfer.

2. The transport system for remediation of organically contaminated soil in saturated zones based on solar heating as described in claim 1, characterized in that, The data acquisition unit is further configured to: Historical data on the transport system for organic polluted soil remediation were obtained. This historical data included solar radiation intensity, soil temperature, ·OH concentration, pollutant concentration, heat transfer efficiency, oxygen transport flow rate parameters, and corresponding soil remediation effect data. The basic data of saturated zone soil and the historical data of the transport system for soil remediation were preprocessed to obtain the preprocessed basic data of saturated zone soil and the historical data of the transport system for soil remediation. The random forest model was trained using preprocessed basic soil data of the saturated zone and historical data of the soil remediation transport system. The parameters of solar radiation intensity, soil temperature, ·OH concentration, pollutant concentration, heat transfer efficiency, and oxygen transport flow rate were used as input features, and the soil remediation effect was used as the output target. Through iterative training, the model was able to learn the mapping relationship between solar radiation intensity, soil temperature, ·OH concentration, pollutant concentration, heat transfer efficiency, oxygen transport flow rate and soil remediation effect, thus obtaining the transport control model for soil remediation.

3. The transport system for remediation of saturated organically contaminated soil based on solar heating as described in claim 1, characterized in that, The integrated unit is also used for: Solar energy is collected by solar panels. The solar panels use the photoelectric effect of semiconductor materials to convert sunlight into electrical energy, and then the electrical energy is converted into heat energy through a built-in heat conversion device. During the heat energy conversion process, the integrated unit monitors the heat value of the heat energy in real time. The integrated unit also collects the oxygen amount in the oxygen pump. The oxygen pump is the device in the system used to provide oxygen. The oxygen pump is equipped with an oxygen sensor to monitor the oxygen amount in the pump in real time and output the real-time oxygen value. The integrated unit also collects the location information of heat transfer pipes and oxygen transfer pipes, and provides the pipe location data in real time through position sensors installed on the pipes.

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