Carbon emission quality control system and method for ships
Through the design of the ship's carbon emission quality control system, the data inaccuracy problem caused by human factors in traditional monitoring systems is solved, and more accurate carbon emission calculation and monitoring is achieved, reducing cost and time consumption.
Patent Information
- Application Number
- CN202411513169.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-28
- Publication Date
- 2025-01-03
- Estimated Expiration
- 2044-10-28
AI Technical Summary
Due to human factors, traditional ship carbon emission monitoring systems are difficult to ensure data accuracy, and they cannot judge the effectiveness of daily monitoring data during non-verification periods in real time, resulting in inaccurate carbon emission calculations.
A ship carbon emission quality control system was designed to obtain monitoring data through the data acquisition module, the data processing module conducts correlation analysis, judges the calculation module to judge abnormal situations, and the quality control execution module performs range correction, zero point correction and flow correction to ensure data accuracy.
It improves the accuracy of ship carbon emission calculation, saves calculation time, reduces costs, and ensures the effectiveness of monitoring data by correlated carbon emission calculation and monitoring data.
Smart Images
Figure CN119028046B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of ship carbon emission, and in particular to a ship carbon emission quality control system and method. Background Art
[0002] Shipping is a huge and growing source of greenhouse gas emissions. Due to the traditional emission factor accounting method, the carbon emission data of ships is greatly affected by the quality of fuel. The ship carbon emission monitoring system installed at each engine exhaust port is mainly maintained by the crew. There are problems such as weak professional knowledge, improper maintenance, and human intervention, which leads to distortion of monitoring data and the validity of the data cannot be guaranteed. Therefore, the calculation of carbon emissions from shipping is extremely inaccurate.
[0003] In the existing technology, operating units and regulatory departments need to conduct regular on-site quality control sample assessments and comparisons to judge the validity of carbon emission data. At the same time, staff need to go to the site for verification, which wastes time and manpower. It is also impossible to determine whether there are false problems in the daily monitoring data during the non-verification period. The cumulative calculation of daily carbon emission data is not linked to the engine status, and it is impossible to judge and analyze the validity of the ship's carbon emission data. Summary of the invention
[0004] In order to address the deficiencies of the prior art, the purpose of the present application is to provide a carbon emission quality control system and method for a ship, which can improve the accuracy of the carbon emission calculation of the ship.
[0005] To achieve the above objectives, this application adopts the following technical solutions:
[0006] In a first aspect, a carbon emission quality control system for a ship is provided, comprising a data acquisition module for acquiring a monitoring data set characterizing an operating status of the ship, wherein the monitoring data set includes at least one of the following monitoring data: carbon emission data characterizing greenhouse gas concentrations and operating data characterizing engine operating conditions; a data processing module for obtaining a first correlation coefficient set based on the monitoring data set, wherein the first correlation coefficient set includes correlation coefficients of a plurality of monitoring data with carbon dioxide concentrations, compares any correlation coefficient with a set threshold value to obtain a second correlation coefficient set whose comparison result is greater than the set threshold value, and outputs at least part of the monitoring data in the monitoring data set corresponding to the second correlation coefficient set as a processing result set; a judgment and calculation module for obtaining a processing result set, and judging whether there are abnormal results in the processing result set, and if any processing result in the processing result set is abnormal, determining that the data acquisition module meets the quality control trigger condition, and generating a quality control signal; a quality control execution module for obtaining a quality control signal, and performing a quality control operation based on the quality control signal, wherein the quality control operation includes range calibration, zero calibration and flow calibration.
[0007] Furthermore, the data acquisition module includes a first data acquisition module and a second data acquisition module, the first data acquisition module is used to acquire carbon emission data, the carbon emission data at least includes greenhouse gas concentration, and the second data acquisition module is used to acquire operation data, the operation data at least includes flow, temperature and humidity, fuel consumption information, speed, fuel temperature and pressure; when the quality control trigger conditions are met, the quality control execution module performs range calibration and / or zero point calibration on the first data acquisition module, and performs flow calibration on the second data acquisition module.
[0008] Furthermore, the quality control execution module includes a first quality control execution module, which includes a multi-way valve and a pressure sensor, and is used to transmit the range gas and the zero gas to the first data acquisition module at a stable flow and pressure; wherein the multi-way valve is used to switch the range gas and the zero gas, and the pressure sensor is used to monitor and adjust the pressure of the range gas and the zero gas, the range gas is a greenhouse gas of a preset concentration, and the zero gas is a gas without greenhouse gases, and the range gas is a greenhouse gas of a preset concentration, and the zero gas is a gas without greenhouse gases.
[0009] Furthermore, the quality control execution module also includes a second quality control execution module, which is used to perform flow calibration on the second data acquisition module. The second quality control execution module includes a fan, a valve, a pressure testing device and a Pitot tube flowmeter. The fan is used to be combined with the valve to generate a stable flow rate, the pressure testing device is used to calibrate the pressure in the second quality control execution module, and the Pitot tube flowmeter is used to determine the flow rate of the flow in the second quality control execution module.
[0010] Furthermore, the judgment calculation module is also used to determine whether the processing result set is obtained outside the quality monitoring time. The quality monitoring time is used to characterize whether the monitoring data is valid after standard quality inspection and calibration within a preset time range; if the processing result set is obtained outside the quality monitoring time, it is determined that the data acquisition module meets the quality control trigger condition and generates a quality control signal.
[0011] Furthermore, the data processing module is used to calculate the time deviation of the monitoring data and adjust the timing of the monitoring data according to the time deviation.
[0012] Furthermore, the judgment calculation unit is also used to calculate the carbon emissions of the ship with the carbon emission factor when the quality control trigger condition is not met, and the carbon emissions of the ship satisfy the following relationship:
[0013] ,
[0014] Among them, i represents the type of greenhouse gas emitted by the ship, j represents the engine type, represents the mass of the i-th greenhouse gas, represents the emission factor of the i-th gaseous substance in the j-th engine, is the fuel consumption, It indicates the working time corresponding to the ship engine and navigation status, and CF indicates the comprehensive correction factor;
[0015] The data processing module stores the initial value of the gaseous substances emitted by the engine in the factory state. The judgment calculation unit determines the comprehensive correction factor based on the ratio of the emission factor to the initial value. The data processing module establishes a correction model based on the temperature, altitude, load, injected fuel amount, operating speed of the ship, acceleration and degradation coefficient, and adjusts the comprehensive correction factor based on the correction model.
[0016] Furthermore, the judgment and calculation unit is also used to recalculate the carbon emissions of the ship after the quality control execution module performs the quality control operation, and store the recalculated carbon emissions in the carbon emissions database of the ship.
[0017] Further, when the carbon emissions of the ship engine are greater than a second preset threshold, or less than a third preset threshold, the quality control execution module re-executes the quality control operation, wherein the second preset threshold is greater than the third preset threshold.
[0018] In the second aspect, a carbon emission quality control method for a ship is provided. The method adopts the carbon emission quality control system for a ship described in the first aspect, and the method includes: obtaining a monitoring data set characterizing the operating state of the engine; obtaining a first correlation coefficient set characterizing the operating state of the engine according to the monitoring data set, and comparing any correlation coefficient in the correlation coefficient set with a set threshold value to obtain a second correlation coefficient set whose comparison result is greater than the set threshold value, and outputting at least part of the monitoring data corresponding to the second correlation coefficient set as a processing result set; obtaining the processing result set, and determining whether there is an abnormal result in the processing result set, and if any processing result in the processing result set is abnormal, determining that the data acquisition module meets the quality control trigger condition, and generating a quality control signal; obtaining the quality control signal, and performing a quality control operation according to the quality control signal, wherein the quality control operation includes range calibration, zero calibration, and flow calibration.
[0019] Compared with the prior art, the present application obtains a monitoring data set characterizing the engine operating status through a data acquisition module, performs correlation processing on the monitoring data set according to a data processing module, and obtains and outputs a processing result set. Afterwards, the calculation module is used to determine whether there are abnormal results in the processing result set. If any processing result in the processing result set is abnormal, the data acquisition module is determined to meet the quality control trigger condition, a quality control signal is generated, and a quality control operation is performed, thereby ensuring the accuracy of the ship monitoring data. At the same time, the present application improves the accuracy of the ship carbon emission calculation by associating the ship carbon emission calculation with the monitoring data, saves the calculation time of the ship carbon emission, and reduces the cost. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 A structural schematic diagram of a carbon emission quality control system for a ship provided in an embodiment of the present application;
[0021] Figure 2 A schematic diagram of the structure of a quality control execution module of a ship provided in an embodiment of the present application;
[0022] Figure 3 A schematic diagram of the structure of another carbon emission quality control system for a ship provided in an embodiment of the present application;
[0023] Figure 4 A schematic diagram of a flow chart of a method for quality control of carbon emissions of a ship provided in an embodiment of the present application. DETAILED DESCRIPTION
[0024] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the specific implementation manner of the present application will be clearly and completely described below in conjunction with the drawings in the implementation manner of the present application.
[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.
[0026] It should also be understood that the term “comprising” indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements and / or components.
[0027] like Figure 1 , which is a schematic structural diagram of a carbon emission quality control system 100 for a ship provided in an embodiment of the present application.
[0028] The carbon emission quality control system 100 for a ship includes: a data acquisition module 11 , a data processing module 12 , a judgment and calculation module 13 and a quality control execution module 14 .
[0029] The data acquisition module 11 is used to acquire a monitoring data set representing the operating status of the ship, and the monitoring data set includes at least one of the following monitoring data: carbon emission data representing the concentration of greenhouse gases and operating data representing the engine operating conditions. The data acquisition module 11 includes a first data acquisition module 111 and a second data acquisition module 112. The engine includes a main engine, multiple auxiliary engines, and a boiler engine.
[0030] The first data acquisition module 111 is used to acquire carbon emission data in the monitoring data set, where the carbon emission data includes greenhouse gas concentrations, for example, greenhouse gases include at least carbon dioxide, methane, and nitrous oxide.
[0031] The second data acquisition module 112 is used to acquire the operation data in the monitoring data set, and the operation data at least includes flow rate, temperature and humidity, fuel consumption information, rotation speed, fuel temperature and pressure, etc. Among them, the data such as flow rate, temperature and humidity are used to calculate the carbon emissions of the ship, and the data such as fuel consumption information, rotation speed, fuel temperature and pressure are the judgment data affecting the calculation of the carbon emissions of the ship.
[0032] The data processing module 12 is connected to the data acquisition module 11, and the data processing module 12 is used to obtain a first correlation coefficient set characterizing the engine operating state based on the monitoring data set, and compare any correlation coefficient in the first correlation coefficient set with a set threshold to obtain a second correlation coefficient set whose comparison result is greater than the set threshold, and output at least part of the monitoring data corresponding to the second correlation coefficient set as a processing result set.
[0033] Specifically, the data processing module 12 uses the carbon dioxide concentration in greenhouse gases as a benchmark, and calculates the correlation coefficient of the data in the monitoring data set other than the carbon dioxide concentration data through the Pearson correlation coefficient formula to obtain a first correlation coefficient set. Among them, the data other than the carbon dioxide concentration data include methane, nitrous oxide, flow, temperature and humidity. For example, the data processing module 12 calculates the correlation coefficient of data such as methane, nitrous oxide, flow, temperature and humidity based on carbon dioxide. The correlation coefficient is used to measure the strength of the linear relationship between two variables. The correlation coefficient is obtained by the square of the Pearson correlation coefficient r, and the value range of r is from -1 to 1, where 1 represents a complete positive correlation, -1 represents a complete negative correlation, and 0 represents no correlation. The correlation coefficient r² is obtained by squaring the Pearson correlation coefficient r.
[0034] The data processing module 12 compares any correlation coefficient in the first correlation coefficient set with a set threshold value to obtain a second correlation coefficient set whose comparison result is greater than the set threshold value. For example, the set threshold value may be 0.9.
[0035] It should be noted that if there is a time deviation in the data in the first correlation coefficient set, the data processing module 12 needs to first perform a timing adjustment on the data in the first correlation coefficient set, and then calculate the correlation coefficient of the data. Before the data processing module 12 performs the timing adjustment, it first determines the time deviation of the data, and then adjusts the timing of the data according to the timing adjustment method. For example, the data processing module 12 can adjust the timestamp of the data to align it with the standard time to complete the timing adjustment of the data.
[0036] The judgment and calculation module 13 is used to obtain the processing result set and determine whether there is an abnormal result in the processing result set. If any processing result in the processing result set is abnormal, it is determined that the data acquisition module meets the quality control trigger condition and generates a quality control signal.
[0037] For example, if the information obtained by the judgment calculation module 13 shows that the fuel consumption is low or the engine speed is low, but the greenhouse gas concentration is higher than a certain concentration, the data acquisition module meets the quality control trigger condition and generates a quality control signal. Alternatively, if the fuel consumption is high or the engine speed is high, but the greenhouse gas concentration is lower than a certain concentration, the data acquisition module meets the quality control trigger condition and generates a quality control signal.
[0038] It should be noted that if any of the processing results in the processing result set has a fault, the judgment calculation module 13 will issue an abnormal alarm, notify relevant personnel to inspect the ship, and stop obtaining monitoring data representing the engine operation status. For example, the fault may include too low light intensity, absorption peak drift, signal saturation, and communication abnormality.
[0039] The judgment calculation module 13 is also used to judge whether the processing result set is obtained outside the quality monitoring time. The quality monitoring time is used to indicate that the monitoring data is valid after the standard quality inspection and calibration within the preset time range. If the processing result set is obtained outside the quality monitoring time, it is determined that the data acquisition module meets the quality control trigger condition and generates a quality control signal.
[0040] The judgment and calculation module 13 is also used to calculate the carbon emissions of the ship with the carbon emission factor when the quality control trigger condition is not met, and store it in the ship's carbon emission database. The calculation of the carbon emissions of the ship satisfies the following relationship:
[0041] ,
[0042] Among them, i represents the type of greenhouse gas emitted by the ship, j represents the engine type, represents the mass of the i-th greenhouse gas, represents the emission factor of the i-th gaseous substance in the j-th engine, is the fuel consumption, It indicates the working time corresponding to the ship engine and navigation status, and CF indicates the comprehensive correction factor.
[0043] Furthermore, the data processing module 12 stores initial values representing gaseous emissions of the engine in the factory state, and the judgment calculation unit 13 determines the comprehensive correction factor based on the ratio of the emission factor to the initial value. The data processing module 12 establishes a correction model based on temperature, altitude, load, injected fuel amount, operating speed of the ship, acceleration and degradation coefficient, and uses it to adjust the comprehensive correction factor based on the correction model.
[0044] The quality control execution module 14 is used to execute the quality control operation when the quality control triggering condition is met. Figure 2 FIG. 1 is a schematic diagram showing the structure of the quality control execution module 14 .
[0045] The quality control execution module 14 includes a first quality control execution module 141 and a second quality control execution module 142. The first quality control execution module 141 is used to perform quality control on the first data acquisition module 111, and the second quality control execution module 142 is used to perform quality control on the second data acquisition module 112.
[0046] The quality control operation includes performing range calibration and zero calibration on the data acquisition module 111. The range calibration is used to input the range gas, and the zero calibration is used to input the zero gas. The range gas is a greenhouse gas of a preset concentration, and the zero gas is a gas without greenhouse gas.
[0047] As an implementation method, the first quality control execution module 141 includes a multi-way valve 1411 and a pressure sensor 1412, which are used to transmit the range gas and the zero gas to the first data acquisition module 111 at a stable flow rate and pressure. The multi-way valve 1411 is used to control different gases to enter the first data acquisition module 111 in a predetermined order, and the pressure sensor 1412 is used to monitor the pressure change during the gas flow to ensure that the gas enters the first data acquisition module 111 at a stable pressure.
[0048] Exemplarily, the first quality control execution module 141 outputs a span gas and a zero gas, and the span gas and the zero gas satisfy the following relationship:
[0049] k=(C f -C0) / (V f -V0),
[0050] b=(V f C0-V0C f ) / (V f -V0),
[0051] Where k is the calibration coefficient, b is the zero point coefficient, C fMod is the concentration of the range gas, C0 is the concentration of the zero gas, V0 is the monitoring signal of the zero gas, V f It is the monitoring signal of the range gas.
[0052] The quality control operation also includes performing flow calibration on the data acquisition module 112, and the flow calibration is used to monitor the gas flow.
[0053] As an implementation, the second quality control execution module 142 includes a fan 1421, a valve 1422, a pressure test device 1423 and a pitot tube flowmeter 1424, which are used to perform flow calibration on the second data acquisition module 112. The fan 1421 is used to combine with the valve 1422 to generate a stable flow, the pressure test device 1423 is used to calibrate the pressure in the second quality control execution module 142, and the pitot tube flowmeter 1424 is used to determine the flow rate of the flow in the second quality control execution module 142.
[0054] Exemplarily, the second quality control execution module 142 calibrates the two pressure test devices 1423 corresponding to the pitot tube flowmeter 1424. The second quality control execution module 142 forms a negative pressure through the fan 1421, and forms a stable step negative pressure in the negative pressure chamber through pipeline switching and valve 1422 opening and closing control. For example, the second quality control execution module 142 can use a quadratic or cubic polynomial to perform multi-point calibration on the two pressure test devices 1423. The error range of the two pressure test devices 1423 can be 0.01%-0.1%FS, where FS is the full scale, that is, the error range of the two pressure test devices 1423 is between FS×0.0001 and FS×0.001.
[0055] It should be noted that the judgment calculation unit 13 is also used to recalculate the carbon emissions of the ship after the quality control execution module 14 performs the quality control operation, and store it in the carbon emission database of the ship, so that the carbon emissions of the ship can be accurately calculated.
[0056] It should also be noted that if the carbon emissions of the ship engine calculated by the judgment calculation unit 13 are greater than the second preset threshold, or less than the third preset threshold, the quality control execution module 14 re-executes the quality control operation. Among them, the second preset threshold is greater than the third preset threshold. For example, the second preset threshold can be the carbon emissions of the ship calculated by the carbon emission factor, and the third preset threshold can be 80% of the carbon emissions of the ship calculated by the carbon emission factor.
[0057] Based on the above scheme, the present application obtains a monitoring data set representing the operating status of the engine through a data acquisition module, performs correlation processing on the monitoring data set according to a data processing module, and obtains and outputs a processing result set. Afterwards, the judgment calculation module determines whether there are abnormal results in the processing result set. When any processing result in the processing result set is abnormal, the data acquisition module is determined to meet the quality control trigger condition, a quality control signal is generated, and a quality control operation is performed. Compared with the prior art, the present application can judge the monitoring data of the operating status of the ship engine, perform quality control operations when the monitoring data is abnormal, and ensure the accuracy of the ship monitoring data. At the same time, the present application improves the accuracy of the ship carbon emission calculation by associating the ship carbon emission calculation with the monitoring data, saves the calculation time of the ship carbon emission, and reduces the cost.
[0058] like Figure 3 As shown, it is a structural schematic diagram of another carbon emission quality control system 300 for a ship provided in an embodiment of the present application.
[0059] in, Figure 1 The first data acquisition module 111 in the data acquisition module 112 may be a ship's carbon emission monitoring module 31, the second data acquisition module 112 may be a ship's onboard remote terminal 32, the data processing module 12 may be a ship's monitoring and control module 33, the judgment and calculation module 13 may be a ship's carbon emission monitoring and remote quality control platform 34, and the quality control execution module 14 may be a ship's quality control unit 35. The ship's carbon emission monitoring and remote quality control platform 34 may be a server located at the monitoring end, which may be a server, or a server cluster consisting of several servers, or a cloud computing service center. The ship's carbon emission monitoring and remote quality control platform 34 is connected to the ship's monitoring and control module 33 through a switch.
[0060] It should be noted that the structure of the carbon emission quality control system 100 (300) for a ship described in the embodiment of the present application is for the purpose of more clearly illustrating the technical solution of the embodiment of the present application, and does not constitute a limitation on the technical solution provided in the embodiment of the present application. A person skilled in the art can know that with the evolution of the system structure, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.
[0061] like Figure 4 As shown, it is a flowchart schematic diagram of a carbon emission quality control method for a ship provided in an embodiment of the present application. The control method is applicable to the carbon emission quality control system 100 (300) of the above-mentioned ship. Specifically, the method comprises the following steps:
[0062] Step S401: Acquire a monitoring data set representing the engine operating status.
[0063] Step S402: Process the monitoring data set to obtain and output a processing result set.
[0064] As an implementation method, the data processing module 12 obtains a first correlation coefficient set characterizing the engine operating state based on the monitoring data set, and compares any correlation coefficient in the first correlation coefficient set with a set threshold to obtain a second correlation coefficient set whose comparison result is greater than the set threshold, and outputs at least part of the monitoring data corresponding to the second correlation coefficient set as a processing result set.
[0065] Step S403: Obtain a processing result set, and determine whether there is an abnormal result in the processing result set.
[0066] Step S404: Generate a quality control signal and perform a quality control operation.
[0067] As an implementation method, when any processing result in the processing result set is abnormal, the quality control execution module 14 determines that the data acquisition module meets the quality control trigger condition, generates a quality control signal, and performs a quality control operation.
[0068] Step S405: Calculate the carbon emissions of the ship.
[0069] As an implementation method, the judgment calculation module 13 calculates the carbon emissions of the ship after performing the quality control operation, or calculates the carbon emissions of the ship when the quality control triggering condition is not met.
[0070] Based on the above scheme, a monitoring data set characterizing the operating status of the engine is acquired through the data acquisition module, and the monitoring data set is subjected to correlation processing according to the data processing module to obtain and output a processing result set. Afterwards, the judgment calculation module is used to determine whether there are abnormal results in the processing result set. When any processing result in the processing result set is abnormal, it is determined that the data acquisition module meets the quality control trigger condition, generates a quality control signal and performs a quality control operation. Compared with the prior art, the present application can judge the monitoring data of the operating status of the ship engine, perform quality control operations when the monitoring data is abnormal, and ensure the accuracy of the ship monitoring data. At the same time, the present application improves the accuracy of the ship carbon emission calculation by associating the ship carbon emission calculation with the monitoring data, saves the calculation time of the ship carbon emission, and reduces the cost.
[0071] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
Claims
1. A carbon emission quality control system for a ship, characterized in that: The carbon emission quality control system of the ship includes: A data acquisition module, used to acquire a monitoring data set characterizing the operating status of the ship, wherein the monitoring data set includes at least one of the following monitoring data: carbon emission data characterizing the concentration of greenhouse gases and operating data characterizing the operating conditions of the engine; a data processing module, configured to obtain a first correlation coefficient set according to the monitoring data set, wherein the first correlation coefficient set includes correlation coefficients of a plurality of the monitoring data respectively with carbon dioxide concentrations, compare any of the correlation coefficients with a set threshold value to obtain a second correlation coefficient set where the comparison result is greater than the set threshold value, and output the monitoring data in the monitoring data set corresponding to the second correlation coefficient set as a processing result set; a judgment calculation module, used for acquiring the processing result set, and judging whether there is an abnormality in the processing result set, and determining that the data acquisition module meets the quality control trigger condition and generating a quality control signal when any processing result in the processing result set is abnormal; wherein the abnormality includes: when the fuel consumption is lower than the fuel consumption threshold or the engine speed is lower than the speed threshold, the greenhouse gas concentration is higher than the concentration threshold, or when the fuel consumption is higher than the fuel consumption threshold or the engine speed is higher than the speed threshold, the greenhouse gas concentration is lower than the concentration threshold, or the absorption peak of the greenhouse gas drifts; The quality control execution module is used to obtain the quality control signal and perform quality control operations according to the quality control signal, wherein the quality control operations include range calibration, zero point calibration and flow calibration.
2. The carbon emission quality control system for ships according to claim 1, characterized in that: The data acquisition module includes a first data acquisition module and a second data acquisition module, the first data acquisition module is used to acquire the carbon emission data, the carbon emission data at least includes greenhouse gas concentration, and the second data acquisition module is used to acquire the operation data, the operation data at least includes flow rate, temperature and humidity, fuel consumption information, speed, fuel temperature and pressure; When the quality control trigger condition is met, the quality control execution module performs the range calibration and / or the zero point calibration on the first data acquisition module, and performs the flow calibration on the second data acquisition module.
3. The carbon emission quality control system for ships according to claim 2, characterized in that: The quality control execution module includes a first quality control execution module, the first quality control execution module includes a multi-way valve and a pressure sensor, and is used to transmit the range gas and the zero gas to the first data acquisition module at a stable flow rate and pressure; Among them, the multi-way valve is used to switch the span gas and the zero gas, the pressure sensor is used to monitor and adjust the pressure of the span gas and the zero gas, the span gas is a greenhouse gas with a preset concentration, and the zero gas is a gas without greenhouse gases.
4. The carbon emission quality control system for ships according to claim 3, characterized in that: The quality control execution module also includes a second quality control execution module, which is used to perform flow correction on the second data acquisition module. The second quality control execution module includes a fan, a valve, a pressure testing device and a Pitot tube flowmeter. The fan is used to combine with the valve to produce a stable flow rate. The pressure testing device is used to calibrate the pressure in the second quality control execution module. The Pitot tube flowmeter is used to determine the flow rate of the flow in the second quality control execution module.
5. The carbon emission quality control system for ships according to claim 1, characterized in that: The judgment and calculation module is further used to judge whether to obtain the processing result set outside the quality monitoring time, and the quality monitoring time is used to indicate that the monitoring data is valid after the standard quality inspection and calibration within a preset time range; If the processing result set is obtained outside the quality monitoring time, it is determined that the data acquisition module meets the quality control trigger condition and generates a quality control signal.
6. The carbon emission quality control system for ships according to claim 1, characterized in that: The data processing module is used to calculate the time deviation of the monitoring data and adjust the timing of the monitoring data according to the time deviation.
7. The carbon emission quality control system for ships according to claim 5, characterized in that: The judgment and calculation module is further used to calculate the carbon emissions of the ship using the carbon emission factor when the quality control trigger condition is not met, and the carbon emissions of the ship satisfy the following relationship: ， Among them, i represents the type of greenhouse gas emitted by the ship, j represents the engine type, represents the mass of the i-th greenhouse gas, represents the emission factor of the i-th gaseous substance in the j-th engine, is the fuel consumption, It indicates the working time corresponding to the ship engine and navigation status, and CF indicates the comprehensive correction factor; The data processing module stores the initial value representing the gaseous substance emitted by the engine in the factory state. The judgment and calculation module determines the comprehensive correction factor based on the ratio of the emission factor to the initial value. The data processing module establishes a correction model based on the temperature, altitude, load, injected fuel amount, operating speed, acceleration and degradation coefficient of the ship, and adjusts the comprehensive correction factor based on the correction model.
8. The carbon emission quality control system for ships according to claim 7, characterized in that: The judgment and calculation module is also used to recalculate the carbon emissions of the ship after the quality control execution module completes the quality control operation, and store the recalculated carbon emissions in the carbon emissions database of the ship.
9. The carbon emission quality control system for ships according to claim 8, characterized in that: When the carbon emissions of the ship engine are greater than a second preset threshold or less than a third preset threshold, the quality control execution module re-executes the quality control operation, wherein the second preset threshold is greater than the third preset threshold.
10. A method for quality control of carbon emissions of ships, characterized in that: Using the carbon emission quality control system for a ship according to any one of claims 1 to 9, the carbon emission quality control method for the ship comprises: Acquire a monitoring data set representing the engine operating status; Obtaining a first correlation coefficient set representing the engine operating state according to the monitoring data set, and comparing any correlation coefficient in the correlation coefficient set with a set threshold value to obtain a second correlation coefficient set whose comparison result is greater than the set threshold value, and outputting at least part of the monitoring data corresponding to the second correlation coefficient set as a processing result set; Acquire the processing result set, and determine whether there is an abnormal result in the processing result set. If any processing result in the processing result set is abnormal, determine that the data acquisition module meets the quality control trigger condition, and generate a quality control signal; The quality control signal is acquired, and a quality control operation is performed according to the quality control signal, wherein the quality control operation includes range calibration, zero point calibration and flow calibration.