Self-adaptive intelligent device system for water ecological restoration and water quality improvement

Abstract

The invention discloses a self-adaptive intelligent device system for water ecological restoration and water quality improvement, and particularly relates to the field of water ecological restoration, the self-adaptive intelligent device system comprises a monitoring module, a control module, a restoration module, an energy supply module and a remote communication module, and the modules are connected through signals; the monitoring module is used for monitoring the temperature, the pH value, the dissolved oxygen, the turbidity and the nutritive salt content of the water body in real time as well as the water level change, the water flow speed and the meteorological conditions; the control module analyzes and processes the monitoring data, automatically generates a control instruction according to a preset target and rule, and adjusts the operation parameters and the working state of the repair module; the restoration module is used for restoring the water body; the energy supply module is used for providing stable and reliable energy supply for the whole device system. The change trend of the water quality parameters can be predicted in advance, so that the system can take measures in advance, manual intervention is reduced, and the automation degree and the operation efficiency of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of water ecological restoration, and more specifically, to an intelligent device system for adaptive water ecological restoration and water quality improvement. Background Art

[0002] For the restoration and treatment of the existing water ecological environment, especially the treatment of black and smelly rivers, the three traditional methods of sewage interception, dredging, and water replacement have been used. This method can only make the water body look good in the short term and cannot solve the problem fundamentally. The key to water pollution treatment lies in how to greatly improve the self-purification ability of the water body and enable the water body to form a complete ecological system for self-repair.

[0003] Traditional methods for water ecological health monitoring and evaluation are limited to manual sampling and analysis, making it difficult to dynamically and timely grasp the process and development trend of water pollution. There are problems such as low efficiency, poor adaptability, inability to monitor and adjust in real time, and it is difficult to meet the increasingly complex water environment governance requirements.

[0004] To solve the above problems, a technical solution is provided now. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an intelligent device system for adaptive water ecological restoration and water quality improvement to solve the problems raised in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An intelligent device system for adaptive water ecological restoration and water quality improvement, including a monitoring module, a control module, a restoration module, an energy supply module, and a remote communication module, and the various modules are connected by signals;

[0008] The monitoring module is used to monitor in real time the temperature, pH value, dissolved oxygen, turbidity, and nutrient salt content of the water body, as well as the water level change, water flow velocity, and meteorological conditions;

[0009] The control module analyzes and processes the monitoring data, and automatically generates control instructions according to preset targets and rules to adjust the operating parameters and working status of the restoration module;

[0010] The restoration module is used to repair the water body;

[0011] The energy supply module is used to provide stable and reliable energy supply for the entire device system;

[0012] The remote communication module is used to transmit the operating status and monitoring data of the device system to the remote monitoring center in real time, and at the same time receive remote control instructions to achieve remote monitoring and management.

[0013] In a preferred embodiment, the operation of the monitoring module specifically includes the following:

[0014] Use a temperature sensor to monitor the water temperature, a pH sensor to monitor the pH value of the water, a dissolved oxygen sensor to monitor the dissolved oxygen content of the water, a turbidity sensor to monitor the turbidity of the water, and a nutrient content sensor to monitor the nutrient content of the water;

[0015] Use a water level sensor to monitor the water level, a flow velocity sensor to monitor the water flow velocity, and a meteorological condition sensor to monitor the meteorological conditions.

[0016] In a preferred embodiment, the operation of the control module specifically includes the following:

[0017] Through the communication interface with the monitoring module, real-time receive data on temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity, and meteorological conditions;

[0018] Check the integrity and accuracy of the received data, and uniformly convert the data formats transmitted by different sensors into a standard format that can be processed inside the control module;

[0019] Use the trend analysis method to perform linear regression analysis on the data that changes over time, so as to judge its change trend. The trend analysis calculation formula is:

[0020]

[0021] Among them, Slope is the slope of the linear regression equation, t is the length of the time studied, P t is the average value of the temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity, and meteorological condition data within the time t, and i is the number of data.

[0022] In a preferred embodiment, the operation of the control module specifically further includes the following:

[0023] According to the preset water quality standards and ecological restoration goals, set the threshold ranges of each monitoring parameter. When the monitoring data exceeds or is lower than the threshold, trigger the corresponding control logic;

[0024] Organize the historical monitoring data and the corresponding control effect data into a data set, and use the temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity, and meteorological conditions as the input vector x i ;

[0025] Use the dosage of microorganisms in the corresponding biological treatment unit and the dosing concentration of the dosing unit as the output vector y i ;

[0026] The input vector is represented as x i =[x i1 ,x i2 ,x i3 ,…,x in T ;

[0027] The output vector is represented as y i =[y i1 ,y i2 T .

[0028] In a preferred embodiment, the specific operation of the repair module further includes the following:

[0029] Generate a control instruction for aeration and oxygenation according to the analysis results of dissolved oxygen concentration, water temperature and water flow velocity. The instruction content includes the start and stop of the aerator, the adjustment of the aeration volume and the setting of the aeration time;

[0030] Adjust the operation parameters of biological treatment based on the nutrient salt content, turbidity and water temperature in the water quality, including the dosage of microorganisms, the flushing cycle of the biofilm and the hydraulic retention time of the biological filter;

[0031] Control the working state of physical filtration according to turbidity, water flow velocity and water level, including the cleaning frequency of the filter screen, the start and stop of the filtration pump and the backwashing time of the filtration tank;

[0032] Precisely calculate the dosage and dosing time of the chemical agent in combination with the water quality monitoring results and meteorological conditions.

[0033] In a preferred embodiment, the specific operation of the repair module further includes the following:

[0034] The control module monitors the operation status of the repair module in real time, including the working current, voltage, temperature and operation time of the equipment, as well as the actual operation effect. By comparing with the preset normal operation status parameters, the operation status of the repair module is judged;

[0035] When it is detected that the actual operation effect of the repair module does not match the expectation, the control module will automatically adjust the relevant control parameters and re-evaluate the adjusted effect until the expected water quality improvement goal is achieved.

[0036] In a preferred embodiment, the specific operation of the energy supply module further includes the following:

[0037] Equip with solar panels and wind turbines, and be equipped with backup storage batteries and mains access devices to provide stable and reliable energy supply for the entire device system.

[0038] ​​In a preferred embodiment, the operation of the remote communication module further includes the following:

[0039] The operating status and monitoring data of the device system are transmitted in real time to the remote monitoring center through wireless communication technology, and at the same time, remote control instructions are received to achieve remote monitoring and management.

[0040] The technical effects and advantages of the intelligent device system for adaptive water ecological restoration and water quality improvement of the present invention:

[0041] 1. It can automatically adjust the operating parameters and working status of the restoration module according to the trend analysis and threshold judgment of the monitoring data to achieve adaptive restoration. Through trend analysis, the change trend of water quality parameters can be predicted in advance, enabling the system to take measures in advance to avoid water quality deterioration or delay in restoration effects.

[0042] 2. Using historical monitoring data and control effects for training, a non-linear mapping relationship between water quality parameters and the operating parameters of the restoration module is established to achieve intelligent control. This enables the system to automatically adjust the dosage of microorganisms in the biological treatment unit and the dosage concentration of chemicals in the chemical dosing unit according to the current water quality conditions and meteorological conditions, reducing manual intervention and improving the automation level and operating efficiency of the system. Description of the Drawings

[0043] Figure 1 It is a schematic structural diagram of the intelligent device system for adaptive water ecological restoration and water quality improvement of the present invention. Detailed Embodiments

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0045] Embodiment 1

[0046] Figure 1 An intelligent device system for adaptive water ecological restoration and water quality improvement of the present invention is provided, including a monitoring module, a control module, a restoration module, an energy supply module, and a remote communication module, and each module is connected by signals;

[0047] The monitoring module is used to monitor the temperature, pH value, dissolved oxygen, turbidity, and nutrient salt content of the water body in real time, as well as the water level change, water flow velocity, and meteorological conditions;

[0048] The control module analyzes and processes the monitoring data, and automatically generates control instructions according to the preset goals and rules to adjust the operating parameters and working status of the repair module;

[0049] The repair module is used to repair the water body;

[0050] The energy supply module is used to provide stable and reliable energy supply for the entire device system;

[0051] The remote communication module is used to transmit the operating status and monitoring data of the device system to the remote monitoring center in real time, and at the same time receive remote control instructions to achieve remote monitoring and management.

[0052] The operation of the monitoring module specifically includes the following:

[0053] A temperature sensor is used to monitor the water temperature of the water body, a pH sensor is used to monitor the pH value of the water body, a dissolved oxygen sensor is used to monitor the dissolved oxygen content of the water body, a turbidity sensor is used to monitor the turbidity of the water body, and a nutrient content sensor is used to monitor the nutrient content of the water body;

[0054] A water level sensor is used to monitor the water level, a flow velocity sensor is used to monitor the water flow velocity of the water body, and a meteorological condition sensor is used to monitor the meteorological conditions.

[0055] It should be added that by comprehensively using these sensors, the monitoring module can provide a comprehensive and systematic evaluation data for the entire water ecological restoration and water quality improvement system. From the physical, chemical and biological indicators of water quality to the physical environment and meteorological conditions of the water body, a complete monitoring network is formed, enabling us to understand the state and change trend of the water body from multiple dimensions. This helps to deeply analyze the root causes of water body problems, formulate more scientific and effective restoration and management strategies, and avoid the one-sidedness and blindness that may be caused by single-index monitoring.

[0056] These sensors can monitor various parameters of the water body in real time. Once a certain index exceeds the normal range or shows abnormal changes, the system can immediately issue an alarm or feedback information to achieve early warning. For example, when the dissolved oxygen suddenly drops or the nutrient content rises sharply, the system can quickly respond, provide information for the repair module, and start the corresponding repair program to prevent the water quality from further deteriorating and ensure the health and stability of the water ecological system.

[0057] The operation of the control module specifically includes the following:

[0058] Through the communication interface with the monitoring module, it receives the data of temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity and meteorological conditions in real time;

[0059] Check the integrity and accuracy of the received data, and uniformly convert the data formats transmitted by different sensors into the standard format that can be processed inside the control module;

[0060] Use the trend analysis method to perform linear regression analysis on the data that changes over time, so as to judge its change trend. The calculation formula for trend analysis is:

[0061]

[0062] Among them, Slope is the slope of the linear regression equation, t is the length of the time under study, and P t is the average value of the data of temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity and meteorological conditions within the time t, and i is the number of data.

[0063] It should be added that checking the integrity and accuracy of the received data ensures the reliability of subsequent analysis and decision-making. It can avoid incorrect control instructions caused by missing or incorrect data, and improve the stability and repair effect of the system. For example, if abnormally high or low values of dissolved oxygen data are not detected, the system may incorrectly adjust the aeration and oxygenation unit, resulting in waste of resources or inability to solve practical problems. Through data checking, these abnormalities can be detected and processed in a timely manner, ensuring that the control module makes correct decisions based on accurate data.

[0064] Using the trend analysis method for linear regression analysis can predict the change trends of water quality and environmental parameters. By calculating the slope of the linear regression equation, the system can anticipate the development direction of water quality in advance and achieve preventive control and repair. For example, if it is found that the trend slope of turbidity is positive and continuously increasing, it may mean that the suspended solids in the water body are increasing continuously. The system can take measures in advance, such as strengthening physical filtration or finding the pollution source, to avoid the water quality deteriorating to an uncontrollable level.

[0065] The above-mentioned operation content of the control module can enable the system to better adapt to the complex water ecological environment and water quality changes. Through the effective management of data and trend prediction, the system can achieve adaptive adjustment, optimize the operation of the repair module, and improve the performance and efficiency of the entire water ecological restoration and water quality improvement system. It can dynamically adjust the repair measures according to different water quality conditions and environmental changes, reduce manual intervention, and improve the automation degree and reliability of the system.

[0066] The specific operation of the control module also includes the following content:

[0067] According to the preset water quality standards and ecological restoration goals, set the threshold ranges of each monitoring parameter. When the monitoring data exceeds or is lower than the threshold, trigger the corresponding control logic;

[0068] Organize historical monitoring data and corresponding control effect data into a data set, and use temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity, and meteorological conditions as the input vector x i ;

[0069] Use the dosage of microorganisms in the corresponding biological treatment unit and the dosing concentration of the dosing unit as the output vector y i ;

[0070] The input vector is denoted as x i =[x i1 , x i2 , x i3 , …, x in T ;

[0071] The output vector is denoted as y i =[y i1 , y i2 T .

[0072] It should be added that setting the threshold range of monitoring parameters according to the preset water quality standards and ecological restoration goals provides a clear decision-making basis for the system. This enables the system to clearly define the ideal range of water quality and ensure that the water quality is in a state that meets the needs of ecosystem health and human use. For example, setting the threshold range of dissolved oxygen, when the dissolved oxygen is below the lower limit value, the system can judge that the water body is in an anoxic state, which may affect the survival of aquatic organisms and the self-purification ability of the water body. At this time, the corresponding control logic of the aeration and oxygenation unit can be triggered to take timely measures to increase the dissolved oxygen level; when the dissolved oxygen is above the upper limit value, it may indicate excessive aeration or other abnormalities, and the system can make corresponding adjustments to avoid unnecessary energy consumption or other problems that may be caused.

[0073] Organizing historical monitoring data and corresponding control effect data into a data set provides rich data resources for subsequent analysis and decision-making. This helps the system learn and summarize experience, and by analyzing past situations, find the relationship between different water quality parameters and control effects. For example, by analyzing the effect of the dosage of microorganisms in the biological treatment unit on water quality improvement at different temperatures in the past, it provides a reference for the dosage of microorganisms under similar temperature conditions in the future, improving the accuracy and effectiveness of control.

[0074] The system can achieve more intelligent control based on historical data and preset threshold ranges. It can not only respond to current abnormal situations but also learn from past experience, and over time, continuously optimize the control logic and parameter adjustment strategies. For example, for periodic water quality fluctuations, the system can adjust the operating parameters of the restoration module in advance according to historical data, avoiding repeated handling of the same problem and improving the efficiency of dealing with water quality problems.​​

[0075] The specific operation of the repair module further includes the following:

[0076] Generate control instructions for aeration and oxygenation based on the analysis results of dissolved oxygen concentration, water temperature, and water flow velocity. The instruction content includes the start and stop of the aerator, the adjustment of the aeration volume, and the setting of the aeration time;

[0077] Adjust the operating parameters of biological treatment according to the nutrient content, turbidity, and water temperature in the water quality, including the dosage of microorganisms, the flushing cycle of the biofilm, and the hydraulic retention time of the biological filter;

[0078] Control the working state of physical filtration according to turbidity, water flow velocity, and water level, including the cleaning frequency of the filter screen, the start and stop of the filtration pump, and the backwashing time of the filtration tank;

[0079] Combined with the water quality monitoring results and meteorological conditions, accurately calculate the dosage and dosing time of the chemical agent.

[0080] It should be added that generating control instructions for aeration and oxygenation based on the dissolved oxygen concentration, water temperature, and water flow velocity can ensure that the dissolved oxygen in the water body is maintained at an appropriate level. Dissolved oxygen is crucial for the survival and reproduction of aerobic microorganisms and is one of the key factors in the water self-purification process. By precisely controlling the start and stop of the aerator, the aeration volume, and the aeration time, problems such as water body odor and aquatic organism death caused by insufficient dissolved oxygen can be avoided, while preventing energy waste and adverse effects on the water body ecosystem caused by excessive aeration. For example, when the water temperature is high and the water flow velocity is slow, the solubility of dissolved oxygen in the water body decreases, and the system can increase the aeration volume and extend the aeration time to improve the reoxygenation ability of the water body, promote the aerobic biodegradation process, and accelerate the decomposition of organic matter, thereby improving the water quality.

[0081] Adjusting the operating parameters of biological treatment according to the nutrient content, turbidity, and water temperature in the water quality helps to improve the treatment effect of the biological treatment unit. Under different conditions of nutrient content, turbidity, and water temperature, the activity and treatment efficiency of microorganisms will vary. Adjusting the dosage of microorganisms according to these conditions can ensure that there are enough microorganisms to treat pollutants, improve the removal efficiency of nutrients (such as nitrogen, phosphorus, etc.), and prevent water eutrophication. For example, when the nutrient content is high, appropriately increase the dosage of microorganisms such as nitrifying bacteria to promote the conversion and removal of nitrogen elements; when the water temperature is suitable for the growth of microorganisms, adjust the flushing cycle of the biofilm and the hydraulic retention time of the biological filter, which helps to maintain the activity of the biofilm and the treatment efficiency of the biological filter, promote the growth and metabolism of microorganisms, and improve the removal effect of organic pollutants and nutrients.

[0082] Control the working state of physical filtration according to turbidity, water flow velocity, and water level, which can prevent the filtration equipment from being blocked. High turbidity or high water flow velocity may cause the filter screen or filtration tank to become blocked more quickly. By adjusting the cleaning frequency of the filter screen, the start and stop of the filtration pump, and the backwashing time of the filtration tank, it is possible to ensure the normal operation of the filtration equipment and avoid affecting the operation of the entire system and the water quality purification effect due to blockage. At the same time, adjusting the filtration operation according to the change of water level can make the filtration system adapt to different water depths and flow rates, ensuring the efficiency and stability of the physical filtration unit.

[0083] Through comprehensive consideration and fine adjustment of different aspects, the repair module can achieve multi-dimensional and multi-level water quality repair and water ecosystem restoration. From removing suspended solids through physical filtration, to biodegradation of organic pollutants and nutrients through biological treatment, to improving the dissolved oxygen conditions in the water body through aeration and oxygenation and chemical treatment through chemical agent dosing, a complete water quality repair and ecological improvement process is formed, optimizing the physical, chemical, and biological properties of the water body and promoting the restoration and healthy development of the water ecosystem.

[0084] The specific operation of the repair module also includes the following:

[0085] The control module monitors the operating state of the repair module in real time, including the working current, voltage, temperature, and operating time of the equipment, as well as the actual operating effect. By comparing with the preset normal operating state parameters, it judges the operating state of the repair module;

[0086] When it is detected that the actual operating effect of the repair module does not match the expectation, the control module will automatically adjust the relevant control parameters and re-evaluate the adjusted effect until the expected water quality improvement goal is achieved.

[0087] It should be added that real-time monitoring of the working current, voltage, temperature, and operating time of the repair module equipment helps to detect abnormal situations of the equipment in a timely manner. For example, abnormal working current may indicate short circuit or overload problems in the equipment, too high temperature may predict poor heat dissipation or overloaded operation of the equipment, and the operating time can help arrange the maintenance and servicing plan of the equipment. By monitoring these parameters, potential equipment failure hazards can be detected in advance, avoiding the interruption of the water ecological restoration process caused by equipment damage and ensuring the continuous operation of the entire system. For example, when it is detected that the current of the aeration equipment is too high, it may be a motor failure or impeller blockage. At this time, measures can be taken in time for repair to prevent the stop of the aeration and oxygenation process due to equipment failure, affecting the replenishment of dissolved oxygen in the water body.

[0088] By comparing the actual operation effect with the preset normal operation state parameters, the operation state of the repair module can be judged, ensuring that the repair effect of the system reaches the expected goal. This helps to evaluate whether the current repair measures are effective. For example, if the actual turbidity of the effluent from the physical filtration unit is still high while the preset normal operation state is that the turbidity of the effluent reaches a low level, it can be judged that the physical filtration effect is poor, and then corresponding improvement measures can be taken to ensure the quality of water quality repair.

[0089] When it is detected that the actual operation effect of the repair module does not match the expectation, the relevant control parameters can be automatically adjusted to achieve the self-optimization and self-adaptation of the system. This makes the system have a certain degree of intelligence, without the need for frequent manual intervention, and can automatically adjust the operation parameters according to different water quality conditions and environmental changes, improving the adaptability and repair efficiency of the system. For example, when it is found that the removal effect of the biological treatment unit on nutrients does not reach the expectation, the control module can automatically adjust the dosage of microorganisms, the flushing cycle of the biofilm, etc. until the expected nutrient removal effect is achieved, enabling the system to effectively carry out ecological repair under different water quality conditions.

[0090] The operation of the energy supply module specifically also includes the following content:

[0091] Solar panels and wind turbines are equipped, and backup storage batteries and mains access devices are also equipped to provide stable and reliable energy supply for the entire device system.

[0092] The operation of the remote communication module specifically also includes the following content:

[0093] The operation state and monitoring data of the device system are transmitted to the remote monitoring center in real time through wireless communication technology, and at the same time, remote control instructions are received to achieve remote monitoring and management.

[0094] The above formulas are all dimensionless and take their numerical values for calculation. The formula is obtained by collecting a large amount of data and performing software simulation to get a formula closest to the real situation. The preset parameters and threshold selection in the formula are set by those skilled in the art according to the actual situation.

[0095] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0096] Those of ordinary skill in the art will appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0097] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing embodiments and will not be elaborated herein.

[0098] In the several embodiments provided in the present application, it should be understood that the disclosed systems and devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings, direct couplings, or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0099] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit. It may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0100] In addition, in each embodiment of this application, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0101] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps described in each embodiment of this application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0102] As described above, this is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0103] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent device system for adaptive water ecological restoration and water quality improvement, characterized in that, It includes a monitoring module, a control module, a repair module, an energy supply module and a remote communication module, and the various modules are connected by signals; The monitoring module is used to monitor the temperature, pH value, dissolved oxygen, turbidity and nutrient content of the water body in real time, as well as the water level change, water flow velocity and meteorological conditions; The control module analyzes and processes the monitoring data, and automatically generates control instructions according to the preset goals and rules to adjust the operating parameters and working status of the repair module; The repair module is used to repair the water body; The energy supply module is used to provide a stable and reliable energy supply for the entire device system; The remote communication module is used to transmit the operating status and monitoring data of the device system to the remote monitoring center in real time, and at the same time receive remote control instructions to achieve remote monitoring and management.

2. The intelligent device system for adaptive water ecological restoration and water quality improvement according to claim 1, wherein: The operation of the monitoring module specifically includes the following: A temperature sensor is used to monitor the water temperature of the water body, a pH value sensor is used to monitor the pH value of the water body, a dissolved oxygen sensor is used to monitor the dissolved oxygen content of the water body, a turbidity sensor is used to monitor the turbidity of the water body, and a nutrient content sensor is used to monitor the nutrient content of the water body; A water level sensor is used to monitor the water level, a flow velocity sensor is used to monitor the water flow velocity of the water body, and a meteorological condition sensor is used to monitor the meteorological conditions.

3. The intelligent device system for adaptive water ecological restoration and water quality improvement according to claim 2, wherein: The operation of the control module specifically includes the following: Through the communication interface with the monitoring module, it receives the data of temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity and meteorological conditions in real time; Check the integrity and accuracy of the received data, and uniformly convert the data formats transmitted by different sensors into the standard format that can be processed inside the control module; Use the trend analysis method to perform linear regression analysis on the data changing with time, so as to judge its change trend. The trend analysis calculation formula is: Among them, Slope is the slope of the linear regression equation, t is the length of the research time, and P t is the average value of the data of temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity and meteorological conditions within the time t, and i is the number of data.

4. The intelligent device system for adaptive water ecological restoration and water quality improvement according to claim 3, wherein: The operation of the control module specifically further includes the following: According to the preset water quality standards and ecological restoration goals, set the threshold ranges of each monitoring parameter. When the monitoring data exceeds or is lower than the threshold, trigger the corresponding control logic; Organize historical monitoring data and corresponding control effect data into a data set, and use temperature, pH value, dissolved oxygen, turbidity, nutrient content, water level, water flow velocity, and meteorological conditions as the input vector x i ; Take the dosage of microorganisms in the corresponding biological treatment unit and the dosing concentration of the chemical dosing unit as the output vector y i ; The input vector is represented as x i = [x i1 , x i2 , x i3 , …, x in T ;​ The output vector is denoted as y i = [y i1 , y i2 T .​ 5. The intelligent device system for adaptive water ecological restoration and water quality improvement according to claim 4, wherein: The operation of the repair module specifically includes the following: According to the analysis results of dissolved oxygen concentration, water temperature and water flow velocity, generate control instructions for aeration and oxygenation. The instruction content includes the start and stop of the aerator, the adjustment of the aeration volume and the setting of the aeration time; According to the nutrient content, turbidity and water temperature in the water quality, adjust the operating parameters of biological treatment, including the dosage of microorganisms, the flushing cycle of the biofilm and the hydraulic retention time of the biological filter; According to the turbidity, water flow velocity and water level, control the working status of physical filtration, including the cleaning frequency of the filter screen, the start and stop of the filtration pump and the backwashing time of the filtration tank; Combined with water quality monitoring results and meteorological conditions, accurately calculate the dosage and dosing time of the chemical agent.

6. An intelligent device system for adaptive water ecological restoration and water quality improvement according to claim 5, characterized in that: The specific operation of the restoration module further includes the following: The control module monitors the operating status of the restoration module in real time, including the working current, voltage, temperature and operating time of the equipment, as well as the actual operating effect, and judges the operating status of the restoration module by comparing with the preset normal operating status parameters; When it is detected that the actual operating effect of the restoration module does not match the expectation, the control module will automatically adjust the relevant control parameters and re-evaluate the adjusted effect until the expected water quality improvement goal is achieved.

7. An intelligent device system for adaptive water ecological restoration and water quality improvement according to claim 6, characterized in that: The specific operation of the energy supply module includes the following: Equipped with solar panels and wind turbines, and equipped with backup batteries and mains access devices to provide stable and reliable energy supply for the entire device system.

8. An intelligent device system for adaptive water ecological restoration and water quality improvement according to claim 7, characterized in that: The specific operation of the remote communication module includes the following: Transmit the operating status and monitoring data of the device system to the remote monitoring center in real time through wireless communication technology, and at the same time receive remote control instructions to achieve remote monitoring and management.

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