Environmental pollutant detection and purification system and method

Abstract

The invention discloses an environmental pollutant detection and purification system. The system comprises a sampling module, a detection module, a data processing module, a purification module, a control module and a user interface module, the sampling module is used for collecting environment samples such as air and water samples, the detection module is used for detecting the pollutant concentration in the air and water samples, and the data processing module is used for processing data collected by the detection module and generating corresponding control signals. The invention discloses a method for detecting and purifying environmental pollutants. The method comprises the following steps: S1, collecting a sample; s2, sample pretreatment; s3, detecting and analyzing; s4, data processing; s5, receiving a control signal; s6, purification treatment; s7, performing feedback adjustment; and S8, displaying a result. By integrating a high-sensitivity sensor and an advanced data processing technology, the real-time monitoring of the pollutant concentration is realized, the change of the pollutant concentration can be found in time, and a basis is provided for subsequent purification treatment.

Description

Technical Field

[0001] The present invention belongs to the technical field of environmental pollutant detection, and in particular relates to an environmental pollutant detection and purification system and method. Background Art

[0002] With the rapid development of industrialization and urbanization, the types and concentrations of pollutants in the environment are increasing. Particulate matter in the air (PM2.5, PM10), harmful gases (such as sulfur dioxide, nitrogen oxides, volatile organic compounds, etc.), heavy metal ions in water, organic pollutants, etc. pose a serious threat to human health and ecosystems. Therefore, it is particularly important to detect and purify environmental pollutants in real time and efficiently.

[0003] At present, the means of detecting environmental pollutants mainly include laboratory testing, handheld detection instruments and online monitoring systems. Although these methods have met the detection needs to a certain extent, they still have some shortcomings: Laboratory testing: samples need to be sent to the laboratory for analysis, which is time-consuming and cannot achieve real-time detection; Handheld detection instruments: Although portable, the detection accuracy and stability are poor, and can only detect single or a few pollutants; Online monitoring system: Although continuous monitoring can be achieved, the popularity is low due to the complexity of the equipment and high cost. For this reason, we propose an environmental pollutant detection and purification system and method. Summary of the invention

[0004] The object of the present invention is to provide an environmental pollutant detection and purification system and method to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: an environmental pollutant detection and purification system, comprising a sampling module, a detection module, a data processing module, a purification module, a control module, and a user interface module;

[0006] The sampling module is used to collect environmental samples, such as air and water samples. The sampling module includes a sampling pump, a filter and a sampling pipeline. The sampling module uses a high-performance vacuum pump to extract air and water samples from the environment. The filter is used to remove large particles in the air and water samples. The sampling pipeline is used to transport the air and water samples to the detection module;

[0007] The detection module is used to detect the concentration of pollutants in air and water samples. The detection module includes a sensor, a signal converter and a data acquisition card. The sensor includes a gas sensor and a water quality sensor, which are used to detect the concentration of pollutants in air and water samples. The signal converter is used to convert the analog signal output by the sensor into a digital signal. The data acquisition card is used to collect the sensor data and transmit it to the data processing module through an interface.

[0008] The data processing module is used to process the data collected by the detection module and generate corresponding control signals;

[0009] The purification module is used to perform pollutant purification according to the control signal sent by the data processing module. The purification module includes an adsorption tower, a catalyst bed and a filter. The adsorption tower uses activated carbon as an adsorption material to adsorb pollutants. The catalyst bed catalytically decomposes pollutants through a non-precious metal catalyst. The filter uses a HEPA filter element to filter out the residue after purification.

[0010] The control module is used to coordinate the work of each unit and realize the automatic operation of the system;

[0011] The user interface module is used to display the detection results and system status, and provide user interaction functions.

[0012] Preferably, the gas sensor includes a PID sensor and an electrochemical sensor, etc., and the water quality sensor includes a conductivity sensor and a turbidity sensor.

[0013] Preferably, the data processing module includes a computer, a database and data processing software. The computer is configured with a high-performance processor, memory and storage device, and is responsible for processing the data transmitted by the detection module, and judging whether the pollutant concentration exceeds the standard according to a preset threshold value, and generating a corresponding control signal. The database adopts a NoSQL database to store historical detection data. The data processing software is used for data cleaning, analysis and visualization, and provides data reports and graphical interfaces.

[0014] Preferably, the control module includes a PLC controller, a communication module, and a power module. The PLC controller is responsible for coordinating the work of each unit, the communication module is used to achieve communication between various parts of the system, and the power module is used to provide power support for the system.

[0015] Preferably, the detection and purification system also includes an alarm module and a remote monitoring module. The alarm module includes an audible and visual alarm and a text message alarm. When the pollutant concentration exceeds a preset threshold, an alarm is issued to promptly remind and notify relevant personnel. The remote monitoring module includes a network camera, a remote server, and client software, and remotely monitors the operating status of the system through the network.

[0016] Preferably, the data processing module uses a data cleaning algorithm to remove invalid data, outliers and duplicate data, and the data cleaning algorithm includes the following formula:

[0017]

[0018] Among them, Z is the detected outlier, x is the value of the data point; μ is the mean of the data set; σ is the standard deviation of the data set. If |Z|>3, the data point is considered to be an outlier.

[0019] Preferably, the data processing module further adopts a data fusion algorithm to fuse the data of different sensors to improve the reliability of the detection results. The data fusion algorithm includes the following formula:

[0020]

[0021] in, is the fused data value, w i is the weight of the i-th sensor, and the weight is set according to the reliability and accuracy of the sensor. i is the data value of the ith sensor.

[0022] Preferably, the data processing module further uses a data analysis algorithm to process the fused data to generate a control signal. The data analysis algorithm is used to smooth the data and remove short-term fluctuations. The specific formula is:

[0023]

[0024] in, is the moving average at time t, n is the window size, y j is the data value at time j.

[0025] A method for detecting and purifying environmental pollutants comprises the following steps:

[0026] S1. Sample collection: Collect environmental samples through the sampling module;

[0027] S2. Sample pretreatment: pre-treat the collected samples, such as filtering and diluting;

[0028] S3. Detection and analysis: Use the detection module to detect the pre-treated samples and obtain the concentration data of pollutants;

[0029] S4. Data processing: The data processing module processes the received detection data, determines whether the pollutant concentration exceeds the standard, and generates a corresponding control signal;

[0030] S5. Control signal reception: The purification module receives a control signal from the data processing module;

[0031] S6. Purification: The corresponding purification equipment is started according to the control signal, and the purification module performs specific purification operations, such as adsorption, decomposition, and filtration. The purification module monitors the purification effect in real time and feeds the data back to the data processing module;

[0032] S7. Feedback adjustment: The data processing module adjusts the operating parameters of the purification module according to the purification effect until the pollutant concentration reaches the standard;

[0033] S8. Result display: The user interface module displays the test results and provides corresponding suggestions or warning information.

[0034] Preferably, in the purification process of S6, the purification module uses an effect monitoring algorithm to monitor the purification effect in real time and feeds back to the data processing module. The specific formula is:

[0035]

[0036] Among them, RMSE is the difference between the pollutant concentration after evaluation and the target concentration; p is the actual pollutant concentration, is the target pollutant concentration, m is the number of data points, and p represents the sequence number of each observation in the data set.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] (1) The present invention realizes real-time monitoring of pollutant concentration by integrating high-sensitivity sensors and advanced data processing technology, which helps to timely detect changes in pollutant concentration and provide a basis for subsequent purification treatment;

[0039] (2) The present invention improves the accuracy and reliability of the detection results by using highly sensitive gas sensors and water quality sensors and combining data fusion algorithms, making the detection results more accurate and better able to reflect the actual pollution conditions;

[0040] (3) The present invention adopts a purification module that uses activated carbon as an adsorption material to effectively adsorb harmful substances in the gas, adopts a non-precious metal catalyst to catalytically decompose harmful gases, and adopts a HEPA filter element to filter out the residues after purification. The combined use of these purification technologies greatly improves the purification efficiency and ensures the purification effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a structural block diagram of the present invention;

[0042] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] See also Figure 1 and Figure 2 ,The present invention provides a technical solution: an environmental pollutant detection and purification system, including a sampling module, a detection module, a data processing module, a purification module, a control module, and a user interface module;

[0045] The sampling module is used to collect environmental samples, such as air and water samples. The sampling module includes a sampling pump, a filter and a sampling pipeline. The sampling module uses a high-performance vacuum pump to extract air and water samples from the environment. The filter is used to remove large particles in the air and water samples. The sampling pipeline is used to transport the air and water samples to the detection module;

[0046] The detection module is used to detect the concentration of pollutants in air and water samples. The detection module includes a sensor, a signal converter and a data acquisition card. The sensor includes a gas sensor and a water quality sensor, which are used to detect the concentration of pollutants in air and water samples. The signal converter is used to convert the analog signal output by the sensor into a digital signal. The data acquisition card is used to collect the sensor data and transmit it to the data processing module through an interface.

[0047] The data processing module is used to process the data collected by the detection module and generate corresponding control signals;

[0048] The purification module is used to perform pollutant purification according to the control signal sent by the data processing module. The purification module includes an adsorption tower, a catalyst bed and a filter. The adsorption tower uses activated carbon as an adsorption material to adsorb pollutants. The catalyst bed catalytically decomposes pollutants through a non-precious metal catalyst. The filter uses a HEPA filter element to filter out the residue after purification.

[0049] The control module is used to coordinate the work of each unit and realize the automatic operation of the system;

[0050] The user interface module is used to display the detection results and system status, and provide user interaction functions.

[0051] In this embodiment, preferably, the gas sensor includes a PID sensor and an electrochemical sensor, etc., and the water quality sensor includes a conductivity sensor and a turbidity sensor.

[0052] In this embodiment, preferably, the data processing module includes a computer, a database and data processing software. The computer is configured with a high-performance processor, memory and storage device, and is responsible for processing the data transmitted by the detection module, and judging whether the pollutant concentration exceeds the standard according to a preset threshold value, and generating a corresponding control signal. The database adopts a NoSQL database for storing historical detection data, and the data processing software is used for data cleaning, analysis and visualization, and provides data reports and graphical interfaces.

[0053] In this embodiment, preferably, the control module includes a PLC controller, a communication module, and a power module. The PLC controller is responsible for coordinating the work of each unit, the communication module is used to achieve communication between various parts of the system, and the power module is used to provide power support for the system.

[0054] In this embodiment, preferably, the detection and purification system also includes an alarm module and a remote monitoring module. The alarm module includes an audible and visual alarm and a text message alarm. When the pollutant concentration exceeds a preset threshold, an alarm is issued to promptly remind and notify relevant personnel; the remote monitoring module includes a network camera, a remote server, and client software, which remotely monitors the operating status of the system through the network.

[0055] In this embodiment, preferably, the data processing module uses a data cleaning algorithm to remove invalid data, outliers and duplicate data. The data cleaning algorithm includes the following formula:

[0056]

[0057] Among them, Z is the detected outlier, x is the value of the data point; μ is the mean of the data set; σ is the standard deviation of the data set. If |Z|>3, the data point is considered to be an outlier.

[0058] In this embodiment, preferably, the data processing module further adopts a data fusion algorithm to fuse the data of different sensors to improve the reliability of the detection results. The data fusion algorithm includes the following formula:

[0059]

[0060] in, is the fused data value, w i is the weight of the i-th sensor, and the weight is set according to the reliability and accuracy of the sensor. i is the data value of the ith sensor.

[0061] In this embodiment, preferably, the data processing module further uses a data analysis algorithm to process the fused data to generate a control signal. The data analysis algorithm is used to smooth the data and remove short-term fluctuations. The specific formula is:

[0062]

[0063] in, is the moving average at time t, n is the window size, y j is the data value at time j.

[0064] A method for detecting and purifying environmental pollutants comprises the following steps:

[0065] S1. Sample collection: Collect environmental samples through the sampling module;

[0066] S2. Sample pretreatment: pre-treat the collected samples, such as filtering and diluting;

[0067] S3. Detection and analysis: Use the detection module to detect the pre-treated samples and obtain the concentration data of pollutants;

[0068] S4. Data processing: The data processing module processes the received detection data, determines whether the pollutant concentration exceeds the standard, and generates a corresponding control signal;

[0069] S5. Control signal reception: The purification module receives a control signal from the data processing module;

[0070] S6. Purification: The corresponding purification equipment is started according to the control signal, and the purification module performs specific purification operations, such as adsorption, decomposition, and filtration. The purification module monitors the purification effect in real time and feeds the data back to the data processing module;

[0071] S7. Feedback adjustment: The data processing module adjusts the operating parameters of the purification module according to the purification effect until the pollutant concentration reaches the standard;

[0072] S8. Result display: The user interface module displays the test results and provides corresponding suggestions or warning information.

[0073] In this embodiment, preferably, in the purification process of S6, the purification module uses an effect monitoring algorithm to monitor the purification effect in real time and feeds back to the data processing module. The specific formula is:

[0074]

[0075] Among them, RMSE is the difference between the pollutant concentration after evaluation and the target concentration; p is the actual pollutant concentration, is the target pollutant concentration, m is the number of data points, and p represents the sequence number of each observation in the data set.

[0076] The present invention realizes real-time monitoring of pollutant concentrations by integrating highly sensitive sensors and advanced data processing technology, which helps to timely discover changes in pollutant concentrations and provide a basis for subsequent purification treatment; by adopting highly sensitive gas sensors and water quality sensors, and combining data fusion algorithms, the accuracy and reliability of the detection results are improved, making the detection results more accurate and better able to reflect the actual pollution situation;

[0077] The present invention adopts activated carbon as an adsorption material through the purification module, which can effectively adsorb harmful substances in the gas, adopts a non-precious metal catalyst, which can catalytically decompose harmful gases, and adopts a HEPA filter element, which can filter out the residues after purification. The combined use of these purification technologies greatly improves the purification efficiency and ensures the purification effect;

[0078] The present invention can realize automatic operation through the control module, reducing the need for manual intervention. The PLC controller and the remote monitoring module can monitor the operating status of the system in real time, and automatically adjust the operating parameters of the purification unit according to the detection results to ensure the stable operation of the system. In addition, the present invention can record the detection data, and realize the cleaning, analysis and visualization of the data through the data processing software. These data can help users better understand the changing trend of pollutants and provide a scientific basis for subsequent decision-making.

[0079] The present invention realizes real-time remote monitoring through the remote monitoring module, which is convenient for managers to check the operating status of the system at any time, helps to timely discover and deal with abnormal situations, and improves the management level of the system. The alarm module can issue an alarm when the pollutant concentration exceeds a preset threshold, and promptly reminds the staff to take measures, which helps to prevent the occurrence of environmental pollution accidents and ensure public safety.

[0080] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An environmental pollutant detection and purification system, characterized in that: It includes sampling module, detection module, data processing module, purification module, control module and user interface module; The sampling module is used to collect environmental samples, such as air and water samples. The sampling module includes a sampling pump, a filter and a sampling pipeline. The sampling module uses a high-performance vacuum pump to extract air and water samples from the environment. The filter is used to remove large particles in the air and water samples. The sampling pipeline is used to transport the air and water samples to the detection module; The detection module is used to detect the concentration of pollutants in air and water samples. The detection module includes a sensor, a signal converter and a data acquisition card. The sensor includes a gas sensor and a water quality sensor, which are used to detect the concentration of pollutants in air and water samples. The signal converter is used to convert the analog signal output by the sensor into a digital signal. The data acquisition card is used to collect the sensor data and transmit it to the data processing module through an interface. The data processing module is used to process the data collected by the detection module and generate corresponding control signals; The purification module is used to perform pollutant purification according to the control signal sent by the data processing module. The purification module includes an adsorption tower, a catalyst bed and a filter. The adsorption tower uses activated carbon as an adsorption material to adsorb pollutants. The catalyst bed catalytically decomposes pollutants through a non-precious metal catalyst. The filter uses a HEPA filter element to filter out the residue after purification. The control module is used to coordinate the work of each unit and realize the automatic operation of the system; The user interface module is used to display the detection results and system status, and provide user interaction functions.

2. The environmental pollutant detection and purification system according to claim 1, characterized in that: The gas sensor includes a PID sensor and an electrochemical sensor, etc., and the water quality sensor includes a conductivity sensor and a turbidity sensor.

3. The environmental pollutant detection and purification system according to claim 1, characterized in that: The data processing module includes a computer, a database and data processing software. The computer is configured with a high-performance processor, memory and storage device, and is responsible for processing the data transmitted by the detection module, and judging whether the pollutant concentration exceeds the standard according to a preset threshold value, and generating a corresponding control signal. The database adopts a NoSQL database to store historical detection data. The data processing software is used for data cleaning, analysis and visualization, and provides data reports and graphical interfaces.

4. The environmental pollutant detection and purification system according to claim 1, characterized in that: The control module includes a PLC controller, a communication module, and a power module. The PLC controller is responsible for coordinating the work of each unit, the communication module is used to achieve communication between various parts of the system, and the power module is used to provide power support for the system.

5. The environmental pollutant detection and purification system according to claim 1, characterized in that: The detection and purification system also includes an alarm module and a remote monitoring module. The alarm module includes an audible and visual alarm and a text message alarm. When the pollutant concentration exceeds a preset threshold, an alarm is issued to promptly remind and notify relevant personnel. The remote monitoring module includes a network camera, a remote server, and client software, which remotely monitors the operating status of the system through the network.

6. The environmental pollutant detection and purification system according to claim 3, characterized in that: The data processing module uses a data cleaning algorithm to remove invalid data, outliers and duplicate data. The data cleaning algorithm includes the following formula: Among them, Z is the detected outlier, x is the value of the data point; μ is the mean of the data set; σ is the standard deviation of the data set. If |Z|>3, the data point is considered to be an outlier.

7. The environmental pollutant detection and purification system according to claim 1, characterized in that: The data processing module also uses a data fusion algorithm to fuse the data of different sensors to improve the reliability of the detection results. The data fusion algorithm includes the following formula: in, is the fused data value, w i is the weight of the i-th sensor, which is set according to the reliability and accuracy of the sensor. i is the data value of the ith sensor.

8. The environmental pollutant detection and purification system according to claim 1, characterized in that: The data processing module also uses a data analysis algorithm to process the fused data and generate a control signal. The data analysis algorithm is used to smooth the data and remove short-term fluctuations. The specific formula is: in, is the moving average at time t, n is the window size, y j is the data value at time j.

9. A method for detecting and purifying environmental pollutants, characterized in that: The following steps are involved: S1. Sample collection: Collect environmental samples through the sampling module; S2. Sample pretreatment: pre-treat the collected samples, such as filtering and diluting; S3. Detection and analysis: Use the detection module to detect the pre-treated samples and obtain the concentration data of pollutants; S4. Data processing: The data processing module processes the received detection data, determines whether the pollutant concentration exceeds the standard, and generates a corresponding control signal; S5. Control signal reception: The purification module receives a control signal from the data processing module; S6. Purification: The corresponding purification equipment is started according to the control signal, and the purification module performs specific purification operations, such as adsorption, decomposition, and filtration. The purification module monitors the purification effect in real time and feeds the data back to the data processing module; S7. Feedback adjustment: The data processing module adjusts the operating parameters of the purification module according to the purification effect until the pollutant concentration reaches the standard; S8. Result display: The user interface module displays the test results and provides corresponding suggestions or warning information.

10. The method for detecting and purifying environmental pollutants according to claim 9, characterized in that: In the purification process of S6, the purification module uses an effect monitoring algorithm to monitor the purification effect in real time and feeds it back to the data processing module. The specific formula is: Among them, RMSE is the difference between the pollutant concentration after evaluation and the target concentration; p is the actual pollutant concentration, is the target pollutant concentration, m is the number of data points, and p represents the sequence number of each observation in the data set.

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