Real-time monitoring and emission control system for ship tail gas

Abstract

The invention relates to the field of ship tail gas, and discloses a ship tail gas real-time monitoring and emission control system, which comprises an acquisition module, and the acquisition module is used for acquiring the numerical value of tail gas discharged by a current ship and the numerical value of the external environment where the current ship is located, and sending the acquired numerical values to a processing module; the acquisition module is connected with a processing module, and the processing module receives the numerical value acquired by the acquisition module and calibrates the currently monitored tail gas numerical value by using an algorithm according to the external environment numerical value. According to the invention, the acquisition module synchronously acquires the ship exhaust value and the external environment value, and the processing module calibrates the exhaust monitoring data by using multi-dimensional compensation algorithms such as temperature, humidity, salinity and the like, thereby effectively eliminating the interference of external environment factors such as high temperature, high humidity, high salt mist and the like on the detection precision of the sensor, avoiding the distortion of the monitoring data, and improving the accuracy of the sensor. The obtained exhaust emission value is more accurate and reliable, and an accurate data basis is provided for formulation of a subsequent emission control strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of ship exhaust gas, and in particular to a ship exhaust gas real-time monitoring and emission control system. Background Art

[0002] With the rapid development of the global shipping industry in recent years, ship exhaust emissions have become a significant source of air pollution. During navigation, ships' engines burn fuel, producing pollutants such as nitrogen oxides, sulfur oxides, and particulate matter, posing a serious threat to the marine ecosystem and human health.

[0003] Currently, ship exhaust monitoring systems primarily use various sensors to monitor exhaust pollutant concentrations in real time and formulate emission control strategies based on this data. However, existing technologies generally suffer from a key flaw: interference from external environmental factors on monitoring results is not effectively addressed. Ships operate in complex and changing environments, and marine conditions such as high temperature, high humidity, and high salt fog can significantly affect sensor detection accuracy. For example, humidity fluctuations can cause measurement errors in optical particulate matter sensors, while salt fog corrosion can reduce the sensitivity of electrochemical sensors, distorting the monitored exhaust concentration data.

[0004] Due to inaccurate monitoring data, emission control strategies developed based on it often exhibit deviations. When external environmental interference causes the monitoring values ​​to be too high, the system may over-implement emission reduction measures, resulting in fuel waste and reduced power performance. Conversely, if the monitoring values ​​are underestimated due to environmental factors, pollutant emissions may exceed standards and fail to meet environmental requirements. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a real-time monitoring and emission control system for ship exhaust, which solves the problem that the current ship exhaust monitoring system relies on sensors to detect pollutant concentrations and formulate control strategies, but due to external environmental interference such as high temperature, high humidity, and high salt fog during ship operation, the sensor detection accuracy is affected, the monitoring data is distorted, and the emission control strategy deviates.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a real-time monitoring and emission control system for ship exhaust, including an acquisition module, which collects the exhaust gas values ​​currently discharged by the ship and the external environment values ​​of the current ship, and sends the collected values ​​to the processing module. The acquisition module is connected to a processing module, which receives the values ​​collected by the acquisition module, and calibrates the currently monitored exhaust gas values ​​according to the external environment values ​​using an algorithm, and sends the calibrated ship exhaust gas values ​​to the emission control module. The processing module is connected to an emission control module, and the emission control module makes appropriate adjustments based on the size of the calibrated exhaust emission values. The emission control module is connected to an interactive module, and the staff can adjust the safety value in the emission control module through the interactive module. At the same time, the emission plan finally given by the emission control module is also displayed through the exchange module.

[0007] Preferably, the acquisition module includes: an external environment value monitoring module, and the external environment value monitoring module monitors the external environment value of the current ship through an external environment sensor.

[0008] Preferably, the external environment sensor includes: a temperature sensor, a humidity sensor, and a salinity sensor.

[0009] Preferably, the external environment values ​​include: temperature, humidity, and salinity.

[0010] Preferably, the acquisition module further includes: an exhaust gas real-time monitoring module, and the exhaust gas real-time monitoring module monitors the exhaust gas value currently discharged by the ship through an exhaust gas sensor.

[0011] Preferably, the exhaust gas sensor includes: a quantum dot fluorescent particulate matter sensor and an electrochemical sensor.

[0012] Preferably, the processing module includes: an algorithm module, which uses an algorithm formula to substitute the external environment value and the exhaust emission value to calibrate the current accurate exhaust emission value. The algorithm formula includes:

[0013] Temperature compensation formula;

[0014] C T =C0×(1+k T / ΔT

[0015] Where: C T represents the exhaust gas concentration after temperature compensation; C0 represents the original exhaust gas concentration value; k T represents the temperature correction coefficient; ΔT represents the difference between the ambient temperature and the standard temperature;

[0016] Humidity compensation formula:

[0017] C H =C T ×(1-k H (H-H0))

[0018] Where: C H represents the exhaust gas concentration after humidity compensation; k H Represents humidity correction coefficient; H represents real-time ambient humidity; H0 represents standard humidity value;

[0019] Salinity compensation formula:

[0020] C S =C H ×(1+k S / S)

[0021] Where: C S represents the exhaust gas concentration after salinity compensation; k S represents the salinity correction factor; S represents the salinity of seawater;

[0022] Comprehensive calibration output formula:

[0023]

[0024] Where: C final represents the exhaust gas concentration after final calibration; f(T,H,S) represents the comprehensive correction function of environmental factors; w i Represents the weight coefficient of environmental factors; environmental factors represent the environmental parameters involved in the calculation.

[0025] Preferably, the algorithm module is connected to an external environment self-adjustment module, which compares the calibrated exhaust emission values ​​with the preset emission scheme and selects a matching emission scheme to transmit to the conclusion module. The emission scheme includes:

[0026] Level 1 (safety), C final <80% of the safety value, the ship is kept in its current operating state;

[0027] Level 2 (early warning), safety value 80%<C final <safety value, the fuel optimization strategy is activated, and the fuel optimization strategy includes increasing the fuel injection pressure by 10%;

[0028] Level 3 (exceeding the standard), C final >Safety value, forcibly start the exhaust gas treatment equipment, which includes SCR denitrification equipment and DPF particulate capture equipment.

[0029] Preferably, the external environment self-adjusting module is connected to a conclusion module, and the conclusion module is executed according to the final selected conclusion module and transmits the execution command to the emission control module; the emission control module is connected to the conclusion module.

[0030] The present invention provides a real-time monitoring and emission control system for ship exhaust. It has the following beneficial effects:

[0031] 1. The present invention synchronously obtains the ship exhaust gas values ​​and the external environment values ​​through the acquisition module. The processing module uses multi-dimensional compensation algorithms such as temperature, humidity, and salinity to calibrate the exhaust gas monitoring data, effectively eliminating the interference of external environmental factors such as high temperature, high humidity, and high salt fog on the sensor detection accuracy, avoiding distortion of monitoring data, making the acquired exhaust emission values ​​more accurate and reliable, and providing an accurate data basis for the formulation of subsequent emission control strategies.

[0032] 2. The present invention incorporates an external environment self-adjustment module that compares and matches calibrated exhaust emission values ​​with a preset three-level emission scheme, accurately initiating corresponding strategies for different emission conditions. When emissions are in a safe state, the ship maintains normal operation; when in a warning state, a fuel optimization strategy is initiated to improve combustion efficiency; when emissions exceed the standard, exhaust treatment equipment is forcibly activated, enabling dynamic and precise adjustment of emission control strategies. This avoids fuel waste and reduced power performance caused by excessive emission reductions, prevents pollutant emissions from exceeding standards, ensures compliance with environmental protection requirements, and effectively balances environmental benefits with the economic and dynamic performance of ship operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention specification.

[0035] Example:

[0036] Please see the attached Figure 1An embodiment of the present invention provides a real-time monitoring and emission control system for ship exhaust, including an acquisition module, which collects the exhaust gas values ​​currently discharged by the ship and the external environment values ​​of the current ship, and sends the collected values ​​to a processing module. The acquisition module is connected to a processing module, which receives the values ​​collected by the acquisition module, and calibrates the currently monitored exhaust gas values ​​according to the external environment values ​​using an algorithm, and sends the calibrated ship exhaust gas values ​​to an emission control module. The processing module is connected to an emission control module, which makes appropriate adjustments based on the size of the calibrated exhaust gas emission values, so that the emission values ​​are always kept at a safe value, further reducing pollution to the environment. The emission control module is connected to an interactive module, and the staff can adjust the safety values ​​in the emission control module through the interactive module. At the same time, the emission plan finally given by the emission control module is also displayed through the exchange module, which is convenient for the staff to watch and understand.

[0037] The acquisition module includes: an external environment value monitoring module and an exhaust gas real-time monitoring module. The external environment value monitoring module monitors the external environment value of the current ship through the external environment sensor;

[0038] The external environment sensors include: temperature sensor, humidity sensor, salinity sensor;

[0039] The external environment values ​​include: temperature, humidity, and salinity;

[0040] The exhaust gas real-time monitoring module monitors the exhaust gas value currently discharged by the ship through the exhaust gas sensor;

[0041] The exhaust gas sensor includes: a quantum dot fluorescent particulate matter sensor and an electrochemical sensor;

[0042] The processing module includes an algorithm module, which uses an algorithm formula to substitute the external environment value and the exhaust emission value to calibrate the current accurate exhaust emission value. The algorithm formula includes:

[0043] Temperature compensation formula;

[0044] C T =C0×(1+k T / ΔT)

[0045] Where: C T represents the exhaust gas concentration after temperature compensation; C0 represents the original exhaust gas concentration value; k T represents the temperature correction coefficient; ΔT represents the difference between the ambient temperature and the standard temperature;

[0046] Humidity compensation formula:

[0047] C H =C T ×(1-k H (H-H0))

[0048] Where: C H represents the exhaust gas concentration after humidity compensation; k H Represents humidity correction coefficient; H represents real-time ambient humidity; H0 represents standard humidity value;

[0049] Salinity compensation formula:

[0050] C S =C H ×(1+k S / S)

[0051] Where: C S represents the exhaust gas concentration after salinity compensation; k S represents the salinity correction factor; S represents the salinity of seawater;

[0052] Comprehensive calibration output formula:

[0053]

[0054] Where: C final represents the exhaust gas concentration after final calibration; f(T,H,S) represents the comprehensive correction function of environmental factors; w i Represents the weight coefficient of environmental factors; environmental factors represent the environmental parameters involved in the calculation;

[0055] The algorithm module is connected to an external environment self-adjustment module, which compares the calibrated exhaust emission values ​​with the preset emission scheme and selects a matching emission scheme to transmit to the conclusion module. The emission scheme includes:

[0056] Level 1 (safety), C final <80% of the safety value, the ship is kept in its current operating state;

[0057] Level 2 (early warning), safety value 80%<C final <safety value, the fuel optimization strategy is activated, and the fuel optimization strategy includes increasing the fuel injection pressure by 10%;

[0058] Level 3 (exceeding the standard), C final >Safety value, forced start of exhaust gas treatment equipment, including SCR denitrification equipment and DPF particulate capture equipment;

[0059] The external environment self-adjusting module is connected to a conclusion module, and the conclusion module is executed according to the final selected conclusion module and transmits the execution command to the emission control module; the emission control module is connected to the conclusion module.

[0060] Comparative experiment:

[0061] Purpose of the experiment

[0062] Verify the monitoring accuracy advantage of the environmental adaptive compensation algorithm proposed in this invention in complex marine environments, and its effect on improving the reliability of emission control strategies.

[0063] 1. Experimental Setup

[0064] 1. Experimental equipment and parameters

[0065]

[0066] 2. Test conditions

[0067] Simulates the IMO Tier III standard test cycle and superimposes a typical ocean disturbance environment:

[0068] Working condition A: high temperature and high humidity (45℃ / 95%RH);

[0069] Condition B: salt spray erosion (salinity 35‰, exposure for 30 days);

[0070] Condition C: Composite interference (45°C / 80%RH+6m / s 2 vibration and noise);

[0071] 3. Evaluation indicators

[0072] Monitoring accuracy: absolute error compared to standard gas (NIST traceable);

[0073] Control effectiveness: compliance rate of excessive pollutants (NOx / SOx / PM);

[0074] Economy: Increased fuel consumption (the cost of over-control).

[0075] 2. Experimental steps

[0076] Benchmark calibration

[0077] NIST SRM 2670 standard gas (SO2 500ppm, NOx 800ppm) was introduced;

[0078] The initial measurement values ​​of the two systems were recorded under a standard environment (25°C / 50%RH).

[0079] Environmental interference injection

[0080] Humidity interference: inject saturated water vapor into the flue to reach the target humidity;

[0081] Salt spray loading: Use Q-FOG salt spray chamber to accelerate corrosion sensor (ASTM B117 standard);

[0082] Mechanical vibration: The electromagnetic vibration table applies a typical frequency spectrum of ships (5-2000Hz sweep frequency).

[0083] Data collection

[0084] Synchronously record original measurement values, calibration values, and control instructions;

[0085] Each operating condition lasts for 2 hours, with a sampling interval of 10 seconds.

[0086] Performance Analysis

[0087] Minitab was used to perform analysis of variance (ANOVA) to verify significant differences.

[0088] 3. Experimental Results

[0089] 1. Monitoring accuracy comparison (root mean square error RMSE)

[0090]

[0091] 2. Control strategy response effect

[0092]

[0093] 3. Salt spray corrosion adaptability (after 30 days of aging)

[0094]

[0095] V. Conclusion

[0096] Monitoring accuracy

[0097] The step-by-step environmental compensation algorithm of the present invention reduces the comprehensive error from 15-25% in the prior art to 2-5%, meeting the DNV GL PTIL 0.5 level accuracy requirement.

[0098] Control reliability

[0099] The risk of excess emissions was reduced by 95% and fuel waste was reduced by 89%, validating the engineering advantages of the "dynamic threshold-adaptive response" strategy.

[0100] Environmental adaptability

[0101] In a salt spray corrosion environment, the sensor life is extended to more than three times that of existing technologies, significantly reducing maintenance costs.

[0102] Economic benefits

[0103] Based on an annual ship operation of 7,000 hours, a single ship can save an average of US$120,000 to US$180,000 in fuel costs annually, while avoiding IMO MARPOL VI violation penalties (a fine of ≥ US$50,000 for each emission violation).

[0104] While 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 these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A real-time monitoring and emission control system for ship exhaust, characterized in that: It includes an acquisition module, which collects the exhaust gas values ​​emitted by the current ship and the external environment values ​​of the current ship, and sends the collected values ​​to the processing module. The acquisition module is connected to a processing module. The processing module receives the values ​​collected by the acquisition module, and calibrates the currently monitored exhaust gas values ​​according to the external environment values ​​using an algorithm, and sends the calibrated ship exhaust gas values ​​to the emission control module. The processing module is connected to an emission control module, and the emission control module makes appropriate adjustments according to the size of the calibrated exhaust gas emission values. The emission control module is connected to an interactive module, and the staff can adjust the safety value in the emission control module through the interactive module. At the same time, the emission plan finally given by the emission control module is also displayed through the exchange module.

2. A ship exhaust real-time monitoring and emission control system according to claim 1, characterized in that: The acquisition module includes: an external environment value monitoring module, and the external environment value monitoring module monitors the external environment value of the current ship through the external environment sensor.

3. A ship exhaust real-time monitoring and emission control system according to claim 2, characterized in that: The external environment sensors include: a temperature sensor, a humidity sensor, and a salinity sensor.

4. A ship exhaust real-time monitoring and emission control system according to claim 2, characterized in that: The external environment values ​​include: temperature, humidity, and salinity.

5. A ship exhaust real-time monitoring and emission control system according to claim 1, characterized in that: The acquisition module further includes: an exhaust gas real-time monitoring module, which monitors the exhaust gas value currently discharged by the ship through an exhaust gas sensor.

6. A ship exhaust real-time monitoring and emission control system according to claim 5, characterized in that: The exhaust gas sensor includes: a quantum dot fluorescent particulate matter sensor and an electrochemical sensor.

7. A ship exhaust real-time monitoring and emission control system according to claim 1, characterized in that: The processing module includes an algorithm module, which uses an algorithm formula to substitute the external environment value and the exhaust emission value to calibrate the current accurate exhaust emission value. The algorithm formula includes: Temperature compensation formula; C T =C0×(1+k T / ΔT) Where: C T represents the exhaust gas concentration after temperature compensation; C0 represents the original exhaust gas concentration value; k T represents the temperature correction coefficient; ΔT represents the difference between the ambient temperature and the standard temperature; Humidity compensation formula: C H =C T ×(1-k H (H-H0)) Where: C H represents the exhaust gas concentration after humidity compensation; k H Represents humidity correction coefficient; H represents real-time ambient humidity; H0 represents standard humidity value; Salinity compensation formula: C S =C H ×(1+k S / S) Where: C S represents the exhaust gas concentration after salinity compensation; k S represents the salinity correction factor; S represents the salinity of seawater; Comprehensive calibration output formula: Where: C final represents the exhaust gas concentration after final calibration; f(T,H,S) represents the comprehensive correction function of environmental factors; w i Represents the weight coefficient of environmental factors; environmental factors represent the environmental parameters involved in the calculation.

8. A ship exhaust real-time monitoring and emission control system according to claim 7, characterized in that: The algorithm module is connected to an external environment self-adjustment module, which compares the calibrated exhaust emission values ​​with the preset emission scheme and selects a matching emission scheme to transmit to the conclusion module. The emission scheme includes: Level 1 (safety), C final <80% of the safety value, the ship is kept in its current operating state; Level 2 (early warning), safety value 80%<C final <safety value, the fuel optimization strategy is activated, and the fuel optimization strategy includes increasing the fuel injection pressure by 10%; Level 3 (exceeding the standard), C final >Safety value, forcibly start the exhaust gas treatment equipment, which includes SCR denitrification equipment and DPF particulate capture equipment.

9. A ship exhaust real-time monitoring and emission control system according to claim 8, characterized in that: The external environment self-adjusting module is connected to a conclusion module, and the conclusion module is executed according to the final selected conclusion module and transmits the execution command to the emission control module; the emission control module is connected to the conclusion module.

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