Multifunctional detection system and method

Abstract

The invention provides a multifunctional detection system and method.The multifunctional detection system comprises an optical sensing unit, an electrochemical sensing unit and a biological sensing unit, the output end of the optical sensing unit is electrically connected with a first collecting end and a second collecting end, and the output end of the first collecting end and the output end of the second collecting end are electrically connected with a data receiving module; the output end of the data receiving module is electrically connected with a detection unit, and the detection unit comprises a regional emission detection module, a regional emission analysis module, a regional control unit, a report generation module, an early warning module and a visualization module. By arranging an optical sensing unit, an electrochemical sensing unit and a biological sensing unit, different emission detection methods are used according to different emission detection scenes, such as different optical sensing units, electrochemical sensing units and biological sensing units in a scene 1, a scene 2 and a scene 3, so that different emission detection operations are realized.

Description

Technical Field

[0001] This invention relates to the field of emission detection system technology, specifically to a multifunctional detection system and method. Background Technology

[0002] Multi-scenario emission monitoring refers to the process of real-time monitoring and assessment of pollutants emitted in different environments and industrial sectors. This process is of great significance for protecting the ecological environment, ensuring human health, and promoting energy conservation and emission reduction in enterprises. Multi-scenario emission monitoring involves a wide range of applications, including but not limited to the following: Environmental monitoring: Environmental protection departments use specialized testing instruments, such as sulfur dioxide gas detectors, to monitor the emission outlets of industrial enterprises in real time to ensure that their emissions meet environmental standards. This monitoring is crucial for controlling air pollution and protecting the ecological environment. Power industry: Coal-fired power plants are a major source of pollutants such as sulfur dioxide. To reduce emissions, power plants install corresponding gas detectors to monitor flue gas emissions in real time and adjust the combustion process based on the monitoring data to improve energy efficiency and reduce pollutant emissions.

[0003] Most existing emission detection systems use different sensors for different scenarios. However, the sensors in the air emission areas need to be adjusted and replaced as needed, making it difficult to conveniently detect the emitted gases in different scenarios. Summary of the Invention

[0004] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a multifunctional detection system and method that solves the problem of not being able to conveniently detect emitted gases in different scenarios.

[0005] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: a multifunctional detection system and method, comprising: an optical sensing unit, an electrochemical sensing unit, and a biosensing unit, characterized in that: the output terminals of each optical sensing unit are electrically connected to a data acquisition terminal 1 and a data acquisition terminal 2, respectively; the output terminals of each data acquisition terminal 1 and data acquisition terminal 2 are electrically connected to a data receiving module; the output terminal of the data receiving module is electrically connected to a detection unit; the detection unit comprises: a regional emission detection module, a regional emission analysis module, a regional control unit, a report generation module, an early warning module, and a visualization module; the output terminal of the regional emission detection module is electrically connected to the regional emission analysis module; the output terminal of the regional emission analysis module is electrically connected to the regional control unit; the output terminals of each regional control unit are electrically connected to a report generation module and an early warning module, respectively; and the output terminals of both the report generation module and the early warning module are electrically connected to a visualization module.

[0006] Preferably, the emission detection structures and modules of the optical sensing unit, electrochemical sensing unit, and biosensing unit are all identical.

[0007] Preferably, the regional emission detection module includes: extracting useful information from the data, such as the concentration and emission trend of pollutants.

[0008] Preferably, the regional emission analysis module includes: data cleaning, calibration, and anomaly detection steps to ensure the accuracy and reliability of the data.

[0009] Preferably, the area control unit control module is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution; including: monitoring emissions, controlling the emission system, fault diagnosis and early warning, and fault diagnosis function, which can identify abnormalities or faults in the emission system and issue early warning signals in a timely manner so as to carry out timely maintenance or adjustment and prevent emissions from exceeding standards due to system failure.

[0010] Preferably, the visualization module provides a real-time monitoring interface, enabling managers to intuitively understand the emissions situation; and displays emissions data in the form of charts and curves to help managers analyze emissions trends and patterns.

[0011] An emission detection method applicable to multiple scenarios includes the following specific steps: Step S1: First, different emission detection methods are used according to different emission detection scenarios, such as different optical sensing units, electrochemical sensing units and biosensing units in scenario 1, scenario 2 and scenario 3, to achieve different emission detection operations; Step S1: The optical sensing unit can specifically detect particulate matter (such as PM2.5 and PM10), volatile organic compounds, methane, carbon dioxide, and various other greenhouse gases and pollutants in the air. The detected data is electrically transmitted to the data receiving module via acquisition terminals 1 and 2, respectively, to complete data collection and conversion into digital signals for subsequent processing and analysis. Step S2: The data is electrically transmitted to the regional emission detection module through the data module to extract useful information from the data, such as the concentration and emission trend of pollutants. Then, the extracted useful information is analyzed through the regional emission analysis module. The data is cleaned, calibrated, and anomaly detected to ensure the accuracy and reliability of the data. Step S3: The analyzed data will then be uploaded to the regional control unit. The regional control unit is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution. When the analyzed data is abnormal, the control unit sends a signal to the early warning module and issues an early warning signal in a timely manner. When the data is within the normal range, the control unit sends a signal to the report generation module. Step S4: After receiving the signal, the report generation module or early warning module can send a signal to the visualization module. The visualization module provides a real-time monitoring interface for the data, enabling managers to intuitively understand the emission situation. The emission data is displayed in the form of charts and curves to help managers analyze emission trends and patterns.

[0012] (III) Beneficial Effects This invention provides a multifunctional detection system and method. It has the following beneficial effects: 1. This invention, by setting up an optical sensing unit, an electrochemical sensing unit, and a biosensing unit, uses different emission detection methods according to different emission detection scenarios. For example, different optical sensing units, electrochemical sensing units, and biosensing units in scenarios 1, 2, and 3 can achieve different emission detection operations. This system method can complete different detections for different scenarios without the need to replace sensors according to different scenarios, thus improving ease of use and efficiency.

[0013] 2. This invention incorporates an optical sensor. Specifically, the optical sensing unit can detect particulate matter (such as PM2.5 and PM10), volatile organic compounds, methane, carbon dioxide, and various other greenhouse gases and pollutants in the air. The detected data is electrically transmitted to the data receiving module through acquisition terminals 1 and 2, respectively, to complete the data collection and convert it into digital signals for subsequent processing and analysis.

[0014] 3. This invention includes a data receiving module and a regional emission detection module. The data receiving module electrically transmits data to the regional emission detection module, extracts useful information from the data, such as pollutant concentration and emission trends, and then the regional emission analysis module analyzes the extracted useful information, performing data cleaning, calibration, and anomaly detection steps to ensure the accuracy and reliability of the data. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the overall system control flow of the present invention; Figure 2 This is a schematic diagram of the system flow in scenario 1 of the present invention; Figure 3 This is a schematic diagram of the system flow in scenario 2 of the present invention; Figure 4This is a schematic diagram of the system flow in scenario 3 of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example 1: like Figure 1-4 As shown, this embodiment of the invention provides a multifunctional detection system, including: an optical sensing unit, the output terminals of which are electrically connected to acquisition terminals 1 and 2 respectively. Specifically, the optical sensing unit can detect particulate matter (such as PM2.5 and PM10), volatile organic compounds, methane, carbon dioxide, and various other greenhouse gases and pollutants in the air. The output terminals of acquisition terminals 1 and 2 are electrically connected to a data receiving module. Data is electrically transmitted to the data receiving module through acquisition terminals 1 and 2 to complete data collection and conversion into digital signals for subsequent processing and analysis. The output terminal of the data receiving module is electrically connected to a detection unit, and a regional control unit controls the system. The module is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution. The detection unit includes: a regional emission detection module, a regional emission analysis module, a regional control unit, a report generation module, an early warning module, and a visualization module. The output of the regional emission detection module is electrically connected to the regional emission analysis module. The regional emission analysis module includes data cleaning, calibration, and anomaly detection steps to ensure the accuracy and reliability of the data. The output of the regional emission analysis module is electrically connected to the regional control unit. The outputs of the regional control unit are electrically connected to the report generation module and the early warning module, respectively. The outputs of the report generation module and the early warning module are both electrically connected to the visualization module.

[0018] The optical sensing unit, electrochemical sensing unit, and biosensing unit all share the same emission detection structure and modules. The regional emission detection module includes: extracting useful information from data, such as pollutant concentration and emission trends; monitoring emissions, controlling the emission system, fault diagnosis and early warning; and fault diagnosis functions, which can identify abnormalities or faults in the emission system and issue early warning signals in a timely manner to facilitate timely maintenance or adjustment and prevent emission exceedances caused by system failures. The visualization module provides a real-time monitoring interface, enabling managers to intuitively understand the emission situation; and displays emission data in the form of charts and curves to help managers analyze emission trends and patterns. An emission detection method applicable to multiple scenarios includes the following specific steps: Step S1: First, different emission detection methods are used according to different emission detection scenarios, such as different optical sensing units, electrochemical sensing units and biosensing units in scenario 1, scenario 2 and scenario 3, to achieve different emission detection operations; Step S1: The optical sensing unit can specifically detect particulate matter (such as PM2.5 and PM10), volatile organic compounds, methane, carbon dioxide, and various other greenhouse gases and pollutants in the air. The detected data is electrically transmitted to the data receiving module via acquisition terminals 1 and 2, respectively, to complete data collection and conversion into digital signals for subsequent processing and analysis. Step S2: The data is electrically transmitted to the regional emission detection module through the data module to extract useful information from the data, such as the concentration and emission trend of pollutants. Then, the extracted useful information is analyzed through the regional emission analysis module. The data is cleaned, calibrated, and anomaly detected to ensure the accuracy and reliability of the data. Step S3: The analyzed data will then be uploaded to the regional control unit. The regional control unit is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution. When the analyzed data is abnormal, the control unit sends a signal to the early warning module and issues an early warning signal in a timely manner. When the data is within the normal range, the control unit sends a signal to the report generation module. Step S4: After receiving the signal, the report generation module or early warning module can send a signal to the visualization module. The visualization module provides a real-time monitoring interface for the data, enabling managers to intuitively understand the emission situation. The emission data is displayed in the form of charts and curves to help managers analyze emission trends and patterns.

[0019] Example 2: The difference between this embodiment and Embodiment 1 is that a multifunctional detection system includes an electrochemical sensing unit. The output terminals of the electrochemical sensing unit are electrically connected to acquisition terminals 1 and 2, respectively. Specifically, the electrochemical sensing unit can detect sulfur dioxide (SO2), nitrogen oxides (NOx, including NO and NO2), carbon monoxide (CO), ozone (O3), carbon dioxide (CO2), and various other harmful gases, such as corrosive or toxic gases like H2S, HCN, HF, and NH3. The output terminals of acquisition terminals 1 and 2 are electrically connected to a data receiving module. Data is electrically transmitted to the data receiving module through acquisition terminals 1 and 2 to collect data and convert it into digital signals for subsequent processing and analysis. The data receiving module's output... The output is electrically connected to a detection unit. The regional control unit is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution. The detection unit includes: a regional emission detection module, a regional emission analysis module, a regional control unit, a report generation module, an early warning module, and a visualization module. The output of the regional emission detection module is electrically connected to the regional emission analysis module. The regional emission analysis module includes data cleaning, calibration, and anomaly detection steps to ensure the accuracy and reliability of the data. The output of the regional emission analysis module is electrically connected to the regional control unit. The outputs of the regional control unit are electrically connected to the report generation module and the early warning module, respectively. The outputs of the report generation module and the early warning module are both electrically connected to the visualization module.

[0020] The optical sensing unit, electrochemical sensing unit, and biosensing unit all share the same emission detection structure and modules. The regional emission detection module includes: extracting useful information from data, such as pollutant concentration and emission trends; monitoring emissions, controlling the emission system, fault diagnosis and early warning; and fault diagnosis functions, which can identify abnormalities or faults in the emission system and issue early warning signals in a timely manner to facilitate timely maintenance or adjustment and prevent emission exceedances caused by system failures. The visualization module provides a real-time monitoring interface, enabling managers to intuitively understand the emission situation; and displays emission data in the form of charts and curves to help managers analyze emission trends and patterns. An emission detection method applicable to multiple scenarios includes the following specific steps: Step S1: First, different emission detection methods are used according to different emission detection scenarios, such as different optical sensing units, electrochemical sensing units and biosensing units in scenario 1, scenario 2 and scenario 3, to achieve different emission detection operations; Step S1: The electrochemical sensing unit can specifically detect sulfur dioxide (SO2), nitrogen oxides (NOx, including NO and NO2), carbon monoxide (CO), ozone (O3), carbon dioxide (CO2), and various other harmful gases, such as H2S, HCN, HF, NH3, and other corrosive or toxic gases. The detected data is electrically transmitted to the data receiving module through acquisition terminals 1 and 2 respectively, completing data collection and converting it into digital signals for subsequent processing and analysis. Step S2: The data is electrically transmitted to the regional emission detection module through the data module to extract useful information from the data, such as the concentration and emission trend of pollutants. Then, the extracted useful information is analyzed through the regional emission analysis module. The data is cleaned, calibrated, and anomaly detected to ensure the accuracy and reliability of the data. Step S3: The analyzed data will then be uploaded to the regional control unit. The regional control unit is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution. When the analyzed data is abnormal, the control unit sends a signal to the early warning module and issues an early warning signal in a timely manner. When the data is within the normal range, the control unit sends a signal to the report generation module. Step S4: After receiving the signal, the report generation module or early warning module can send a signal to the visualization module. The visualization module provides a real-time monitoring interface for the data, enabling managers to intuitively understand the emission situation. The emission data is displayed in the form of charts and curves to help managers analyze emission trends and patterns.

[0021] Example 3: A multifunctional detection system includes: a biosensor unit, the output terminals of which are electrically connected to acquisition terminals 1 and 2, respectively. The biosensor unit can specifically detect harmful substances in the air, such as hydrogen sulfide (H2S), ammonia (NH3), methanethiol (CH3SH), and other odorous gases, as well as other potentially harmful emissions. The output terminals of acquisition terminals 1 and 2 are each electrically connected to a data receiving module. Data is electrically transmitted from acquisition terminals 1 and 2 to the data receiving module for collection and conversion into digital signals for subsequent processing and analysis. The output terminal of the data receiving module is electrically connected to a detection unit. An area control unit controls the system. The module is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution. The detection unit includes: a regional emission detection module, a regional emission analysis module, a regional control unit, a report generation module, an early warning module, and a visualization module. The output of the regional emission detection module is electrically connected to the regional emission analysis module. The regional emission analysis module includes data cleaning, calibration, and anomaly detection steps to ensure the accuracy and reliability of the data. The output of the regional emission analysis module is electrically connected to the regional control unit. The outputs of the regional control unit are electrically connected to the report generation module and the early warning module, respectively. The outputs of the report generation module and the early warning module are both electrically connected to the visualization module.

[0022] The optical sensing unit, electrochemical sensing unit, and biosensing unit all share the same emission detection structure and modules. The regional emission detection module includes: extracting useful information from data, such as pollutant concentration and emission trends; monitoring emissions, controlling the emission system, fault diagnosis and early warning; and fault diagnosis functions, which can identify abnormalities or faults in the emission system and issue early warning signals in a timely manner to facilitate timely maintenance or adjustment and prevent emission exceedances caused by system failures. The visualization module provides a real-time monitoring interface, enabling managers to intuitively understand the emission situation; and displays emission data in the form of charts and curves to help managers analyze emission trends and patterns. An emission detection method applicable to multiple scenarios includes the following specific steps: Step S1: First, different emission detection methods are used according to different emission detection scenarios, such as different optical sensing units, electrochemical sensing units and biosensing units in scenario 1, scenario 2 and scenario 3, to achieve different emission detection operations; Step S1: The biosensor unit can specifically detect harmful substances in the air, such as hydrogen sulfide (H2S), ammonia (NH3), methanethiol (CH3SH), and other odorous gases, as well as other potentially harmful emissions. The detected substances are electrically transmitted to the data receiving module via acquisition terminals 1 and 2, respectively, to collect the data and convert it into digital signals for subsequent processing and analysis. Step S2: The data is electrically transmitted to the regional emission detection module through the data module to extract useful information from the data, such as the concentration and emission trend of pollutants. Then, the extracted useful information is analyzed through the regional emission analysis module. The data is cleaned, calibrated, and anomaly detected to ensure the accuracy and reliability of the data. Step S3: The analyzed data will then be uploaded to the regional control unit. The regional control unit is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution. When the analyzed data is abnormal, the control unit sends a signal to the early warning module and issues an early warning signal in a timely manner. When the data is within the normal range, the control unit sends a signal to the report generation module. Step S4: After receiving the signal, the report generation module or early warning module can send a signal to the visualization module. The visualization module provides a real-time monitoring interface for the data, enabling managers to intuitively understand the emission situation. The emission data is displayed in the form of charts and curves to help managers analyze emission trends and patterns.

[0023] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A multifunctional detection system, comprising: An optical sensing unit, an electrochemical sensing unit, and a biosensing unit are characterized in that: the output terminals of each optical sensing unit are electrically connected to a data acquisition terminal 1 and a data acquisition terminal 2, respectively; the output terminals of each data acquisition terminal 1 and data acquisition terminal 2 are electrically connected to a data receiving module; the output terminal of each data receiving module is electrically connected to a detection unit; the detection unit includes: a regional emission detection module, a regional emission analysis module, a regional control unit, a report generation module, an early warning module, and a visualization module; the output terminal of the regional emission detection module is electrically connected to the regional emission analysis module; the output terminal of the regional emission analysis module is electrically connected to the regional control unit; the output terminals of each regional control unit are electrically connected to a report generation module and an early warning module, respectively; and the output terminals of both the report generation module and the early warning module are electrically connected to a visualization module.

2. The multifunctional detection system and method according to claim 1, characterized in that: The emission detection structures and modules of the optical sensing unit, electrochemical sensing unit, and biosensing unit are all identical.

3. The multifunctional detection system and method according to claim 1, characterized in that: The regional emission detection module includes: extracting useful information from the data, such as pollutant concentrations and emission trends.

4. The multifunctional detection system and method according to claim 1, characterized in that: The regional emissions analysis module includes data cleaning, calibration, and anomaly detection steps to ensure the accuracy and reliability of the data.

5. The multifunctional detection system and method according to claim 1, characterized in that: The regional control unit control module is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution; including: monitoring emissions, controlling the emission system, fault diagnosis and early warning, and fault diagnosis function, which can identify abnormalities or faults in the emission system and issue early warning signals in a timely manner so as to carry out timely maintenance or adjustment and prevent emissions from exceeding standards due to system failure.

6. The multifunctional detection system and method according to claim 1, characterized in that: The visualization module provides a real-time monitoring interface, enabling managers to intuitively understand emissions; it displays emissions data in the form of charts and curves, helping managers analyze emissions trends and patterns.

7. An emission detection method applicable to multiple scenarios, based on a multifunctional detection system according to any one of claims 1-6, characterized in that: The specific steps include the following: Step S1: First, different emission detection methods are used according to different emission detection scenarios, such as different optical sensing units, electrochemical sensing units and biosensing units in scenario 1, scenario 2 and scenario 3, to achieve different emission detection operations; Step S1: The optical sensing unit can detect particulate matter (such as PM2.5 and PM10), volatile organic compounds, methane, carbon dioxide and various other greenhouse gases and pollutants in the air. After detection, the data is electrically transmitted to the data receiving module through the acquisition end 1 and acquisition end 2 respectively to complete the data collection and convert it into digital signals for subsequent processing and analysis. ‌ Step S2: The data is electrically transmitted to the regional emission detection module through the data module to extract useful information from the data, such as the concentration and emission trend of pollutants. Then, the extracted useful information is analyzed through the regional emission analysis module. The data is cleaned, calibrated, and anomaly detected to ensure the accuracy and reliability of the data. Step S3: The analyzed data will then be uploaded to the regional control unit. The regional control unit is responsible for monitoring and controlling the operation of the emission system to ensure that emissions meet standards and reduce environmental pollution. When the analyzed data is abnormal, the control unit sends a signal to the early warning module and issues an early warning signal in a timely manner. When the data is within the normal range, the control unit sends a signal to the report generation module. Step S4: After receiving the signal, the report generation module or early warning module can send a signal to the visualization module. The visualization module provides a real-time monitoring interface for the data, enabling managers to intuitively understand the emission situation. The emission data is displayed in the form of charts and curves to help managers analyze emission trends and patterns.

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