Standardized integrated access method and system for marine equipment operation energy efficiency data

Abstract

This invention relates to a standardized integration and access method and system for marine equipment operating energy efficiency data. It constructs an energy efficiency data standardization system encompassing equipment categories and core energy efficiency data, and generates a unified data identifier for marine equipment operating energy efficiency through a five-level coding rule. Measurements of the first and second core energy efficiency data of marine equipment with and without standard interfaces are collected via wired and wireless methods, respectively. After protocol conversion and GPS second pulse time synchronization, over-range cleaning and null value interpolation preprocessing are performed. Multi-source data is mapped to a unified data identifier for marine equipment operating energy efficiency through mapping rules. Based on the ship's operating status information, the current operating condition is determined, and the time window width and polynomial order are dynamically adjusted. High-order polynomial fitting processing is performed on the unified-identified data to output high-quality standardized energy efficiency data, which is then transmitted to the ship's energy efficiency management platform. This achieves adaptive quality control and standardized integration access of multi-source heterogeneous energy efficiency data.

Description

Technical Field

[0001] This invention relates to the field of marine equipment energy efficiency monitoring and data integration technology, specifically to a standardized integration and access method and system for marine equipment operating energy efficiency data. Background Technology

[0002] As global "dual carbon" goals advance, the International Maritime Organization (IMO) has introduced stricter regulations regarding ship energy efficiency standards. For example, the Annex to the International Convention for the Prevention of Pollution from Ships (ICP-5) proposes ship energy efficiency design indices, existing ship energy efficiency indices, and carbon intensity indicators, requiring all operating vessels to submit energy efficiency data reports regularly. The European Union plans to further strengthen shipping carbon reduction targets, requiring a significant reduction in ship carbon emissions. Ship energy efficiency data serves as a core basis for regulatory compliance assessments, and its accurate collection and integration have become a rigid requirement for the international shipping industry. Meanwhile, my country's modern comprehensive transportation system development plan explicitly proposes promoting green and low-carbon transformation of ships and improving ship energy efficiency. The Ministry of Transport's relevant green transportation development plan outline requires the establishment of a ship energy efficiency monitoring and management system to achieve full lifecycle tracking of key ship energy efficiency data. The standardized integration of marine equipment energy efficiency data is a key technological foundation for supporting the implementation of the national green shipping strategy and enhancing the international competitiveness of the shipbuilding industry.

[0003] Currently, marine equipment comes from diverse sources, with manufacturers employing proprietary data identifiers, communication protocols, and data formats. This results in severe data silos between different pieces of equipment, making direct comparison and use of data from different devices impossible. Furthermore, existing marine energy efficiency data access solutions are mostly customized. New equipment with standard interfaces requires dedicated serial servers, while older equipment without standard interfaces necessitates customized hardware acquisition modules. The lack of a unified architecture for wireless and wired access necessitates network reconstruction when adding new equipment, leading to high costs and long lead times. More critically, the lack of a unified data semantic definition and standardized coding system in existing technologies prevents cross-device, cross-system, and cross-ship data interoperability and sharing. Simultaneously, multi-source heterogeneous data (such as wired industrial Ethernet data and wireless sensor data) exhibit significant differences in time reference, data quality, and access methods, making unified quality control and efficient integration difficult.

[0004] Therefore, there is an urgent need for a standardized integrated access method that is compatible with both new and old equipment, integrates wired and wireless acquisition paths, establishes a unified data identifier, and achieves adaptive data quality control, in order to solve the problems of "incomplete collection, unstable transmission, poor management, and inflexible use" of ship energy efficiency data, and meet the urgent needs of green shipping regulations compliance and intelligent management. Summary of the Invention

[0005] To address the problems existing in current ship energy efficiency data acquisition and access, such as poor compatibility of multi-source heterogeneous equipment, data silos caused by proprietary protocols, separation of wired and wireless acquisition architectures, lack of a unified data identification system, and insufficient data quality control capabilities, this invention provides a standardized integrated access method for ship equipment operating energy efficiency data. This method enables plug-and-play access for both new and old equipment, unified identification mapping of multi-source energy efficiency data, and adaptive time-series quality control. It overcomes the limitations of traditional ship equipment energy efficiency data integration methods, which can only design independent solutions for single devices. This invention achieves standardized access and high-quality integrated application of multi-source heterogeneous ship energy efficiency data, significantly improving the standardization, completeness, and reliability of ship energy efficiency data acquisition. This invention also relates to a standardized integrated access system for ship equipment operating energy efficiency data.

[0006] The technical solution of the present invention is as follows:

[0007] A standardized method for integrating and accessing operational energy efficiency data of marine equipment, characterized by comprising the following steps:

[0008] S1: Divide marine equipment into multiple equipment categories according to function, and set core energy efficiency data for each category of marine equipment. Construct an energy efficiency data standardization system based on equipment categories and core energy efficiency data. Based on the energy efficiency data standardization system, and through a pre-designed five-level coding rule including equipment type code, parameter category code, acquisition attribute code, accuracy level code and check code, generate a unified data identifier for the operating energy efficiency of marine equipment.

[0009] S2: The system acquires first core energy efficiency data measurements encapsulated in local bus protocol from marine equipment with industrial standard interfaces via a wired connection. It then converts these measurements into energy efficiency standardization target data encapsulated in industrial Ethernet protocol using a protocol conversion function. Next, it wirelessly acquires second core energy efficiency data measurements from marine equipment without standard interfaces, forming multi-source heterogeneous energy efficiency data. The system synchronizes the energy efficiency standardization target data with the second core energy efficiency data measurements using a second pulse signal provided by the Global Positioning System (GPS). Finally, it preprocesses the time-synchronized multi-source heterogeneous energy efficiency data, including over-range cleaning based on the 3σ criterion and null value interpolation based on linear interpolation.

[0010] S3: Based on the preset mapping rule set, the original data identifiers of the preprocessed multi-source heterogeneous energy efficiency data are mapped to unified data identifiers for the operating energy efficiency of marine equipment through standardized mapping rules.

[0011] S4: Obtain the ship's current operating status information, including main engine load rate, speed change rate, and wind and wave level; determine the ship's current operating condition based on the operating status information, including steady-state navigation condition, variable operating condition, and wind and wave disturbance condition; dynamically set the time window width and polynomial order based on the determination result of the current ship operating condition; within the time window centered on the current moment and determined by the time window width, perform high-order polynomial fitting processing on the mapped energy efficiency standardized target data and the second core energy efficiency data measurement values ​​with unified data identification of marine equipment operating energy efficiency, based on the polynomial order, output the fitted standardized energy efficiency data and transmit it to the ship energy efficiency management platform to realize the standardized integrated access of marine equipment energy efficiency data.

[0012] Preferably, in step S1, the multiple equipment categories include power, auxiliary, environmental protection, and electrical categories, wherein the power category includes marine engines, marine main engines, and propellers; the auxiliary category includes seawater cooling pumps, air compressors, and fans; the environmental protection category includes ballast water treatment equipment, desulfurization towers, and exhaust gas after-treatment devices; and the electrical category includes marine generators and transformers.

[0013] The core energy efficiency data for the power-type marine equipment includes output power, fuel consumption rate, mean effective pressure, shaft power, rotational speed, speed, and open water efficiency; the core energy efficiency data for the auxiliary marine equipment includes flow rate, head, air volume, and air volume per unit power; the core energy efficiency data for the environmental protection-type marine equipment includes throughput, salinity, and energy consumption ratio; and the core energy efficiency data for the electric marine equipment includes output power, power factor, load loss, and no-load loss.

[0014] Preferably, in step S1, the equipment type code is a 2-digit code used to identify the equipment category of marine equipment, wherein 01 represents power type, 02 represents electric type, 03 represents auxiliary type, and 04 represents environmental protection type;

[0015] The parameter category code is a 3-digit code used to identify the type of core energy efficiency data of marine equipment, where 001 represents power parameters, 002 represents fuel consumption parameters, and 003 represents temperature parameters.

[0016] The data acquisition attribute code is a 5-digit code used to describe the data acquisition method and acquisition frequency. The first 2 digits represent the data acquisition method, with 01 indicating wired acquisition and 02 indicating wireless acquisition. The last 3 digits represent the data acquisition frequency, in seconds.

[0017] The accuracy grade code is a 3-digit code used to characterize the accuracy grade of data measurement, where 001 represents high accuracy with an error of less than 0.1%, 002 represents medium accuracy with an error of less than 1%, and 003 represents normal accuracy with an error of less than 5%.

[0018] The verification code is a 3-digit code generated by performing a modulo operation after weighted summation of the equipment type code, parameter category code, acquisition attribute code, and accuracy level code. It is used to verify the integrity and accuracy of the unified data identification of the marine equipment's operating energy efficiency.

[0019] Preferably, in step S2, the protocol conversion function includes a source data parsing function, a protocol semantic mapping function, and a target protocol encapsulation function executed sequentially. The source data parsing function extracts the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the original measurement value of the data from the first core energy efficiency data measurement value encapsulated in the local bus protocol. The protocol semantic mapping function, referring to the marine equipment energy efficiency data standard, performs unit calibration and offset correction on the extracted original measurement value of the data, converting it into a standardized value that meets the requirements of the marine equipment energy efficiency data standard. The target protocol encapsulation function encapsulates the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the converted standardized value into energy efficiency standardized target data stored in the industrial Ethernet protocol format.

[0020] The local bus protocol includes the Modbus-RTU protocol and the CANopen protocol, and the industrial Ethernet protocol is the EtherNet / IP protocol.

[0021] Preferably, in step S2, the overrange cleaning process based on the 3σ criterion specifically includes: calculating the mean and standard deviation of the energy efficiency standardized target data and the second core energy efficiency data measurement values ​​after time synchronization within a certain fixed time period, constructing an interval range based on the mean and standard deviation, and marking data points that exceed the interval range as outliers and removing them;

[0022] The null value interpolation processing based on linear interpolation specifically includes: for missing data points in the time series of energy efficiency standardization target data and second core energy efficiency data measurement values ​​collected within a fixed time period after time synchronization, linear interpolation is performed using the time and value of the two adjacent valid data points to obtain the missing value completion value.

[0023] Preferably, in step S3, the mathematical expression of the standardized mapping rule is:

[0024] ,

[0025] in, To provide a unified data identifier for the energy efficiency of the mapped marine equipment. A mapping and transformation function for unified data identification of energy efficiency of marine equipment; The original data identifier for the preprocessed energy efficiency standardization target data and the second core energy efficiency data measurement values; A set of mapping rules for unified data identification of energy efficiency of marine equipment. These are the mapping relationships between device type code, parameter category code, acquisition attribute code, accuracy level code, and check code.

[0026] A standardized integrated access system for marine equipment operating energy efficiency data is characterized by comprising, in sequence, a system construction and unified data identifier generation module, a multi-source heterogeneous energy efficiency data acquisition and processing module, a unified data identifier mapping module, and a high-order polynomial fitting processing module.

[0027] The system construction and unified data identifier generation module divides marine equipment into multiple equipment categories according to function, sets core energy efficiency data for each category of marine equipment, and constructs an energy efficiency data standardization system based on equipment categories and core energy efficiency data. Based on the energy efficiency data standardization system, and through a pre-designed five-level coding rule including equipment type code, parameter category code, acquisition attribute code, accuracy level code and check code, a unified data identifier for the operating energy efficiency of marine equipment is generated.

[0028] The multi-source heterogeneous energy efficiency data acquisition and processing module acquires first core energy efficiency data measurement values ​​encapsulated in local bus protocol from marine equipment with industrial standard interfaces via a wired connection. It then converts these first core energy efficiency data measurement values ​​into energy efficiency standardization target data encapsulated in industrial Ethernet protocol using a protocol conversion function. Next, it wirelessly acquires second core energy efficiency data measurement values ​​from marine equipment without standard interfaces, forming multi-source heterogeneous energy efficiency data. The module synchronizes the energy efficiency standardization target data and the second core energy efficiency data measurement values ​​in the multi-source heterogeneous energy efficiency data using a second pulse signal provided by the Global Positioning System (GPS). Finally, it preprocesses the time-synchronized multi-source heterogeneous energy efficiency data, including over-range cleaning based on the 3σ criterion and null value interpolation based on linear interpolation.

[0029] The unified data identifier mapping module maps the original data identifiers of the preprocessed multi-source heterogeneous energy efficiency data to unified data identifiers for marine equipment operation energy efficiency according to a preset mapping rule set and standardized mapping rules.

[0030] The high-order polynomial fitting processing module acquires the ship's current operating status information, including main engine load rate, speed change rate, and wind and wave level; and determines the current ship operating condition based on the operating status information, including steady-state navigation condition, variable operating condition, and wind and wave disturbance condition; dynamically sets the time window width and polynomial order based on the determination result of the current ship operating condition; within the time window centered on the current moment and determined by the time window width, performs high-order polynomial fitting processing on the mapped energy efficiency standardized target data and the second core energy efficiency data measurement values ​​with unified data identification of marine equipment operating energy efficiency, outputs the fitted standardized energy efficiency data, and transmits it to the ship energy efficiency management platform to realize the standardized integrated access of marine equipment energy efficiency data.

[0031] Preferably, in the system construction and unified data identification generation module, the equipment type code is a 2-digit code used to identify the equipment category of marine equipment, wherein 01 represents power type, 02 represents electric type, 03 represents auxiliary type, and 04 represents environmental protection type;

[0032] The parameter category code is a 3-digit code used to identify the type of core energy efficiency data of marine equipment, where 001 represents power parameters, 002 represents fuel consumption parameters, and 003 represents temperature parameters.

[0033] The data acquisition attribute code is a 5-digit code used to describe the data acquisition method and acquisition frequency. The first 2 digits represent the data acquisition method, with 01 indicating wired acquisition and 02 indicating wireless acquisition. The last 3 digits represent the data acquisition frequency, in seconds.

[0034] The accuracy grade code is a 3-digit code used to characterize the accuracy grade of data measurement, where 001 represents high accuracy with an error of less than 0.1%, 002 represents medium accuracy with an error of less than 1%, and 003 represents normal accuracy with an error of less than 5%.

[0035] The verification code is a 3-digit code generated by performing a modulo operation after weighted summation of the equipment type code, parameter category code, acquisition attribute code, and accuracy level code. It is used to verify the integrity and accuracy of the unified data identification of the marine equipment's operating energy efficiency.

[0036] Preferably, in the multi-source heterogeneous energy efficiency data acquisition and processing module, the protocol conversion function includes a source data parsing function, a protocol semantic mapping function, and a target protocol encapsulation function executed sequentially. The source data parsing function extracts the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the original measurement value of the data from the first core energy efficiency data measurement value encapsulated in the local bus protocol. The protocol semantic mapping function, referring to the marine equipment energy efficiency data standard, performs unit calibration and offset correction on the extracted original measurement value of the data, converting it into a standardized value that meets the requirements of the marine equipment energy efficiency data standard. The target protocol encapsulation function encapsulates the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the converted standardized value into energy efficiency standardized target data stored in the industrial Ethernet protocol format.

[0037] The overrange cleaning process based on the 3σ criterion specifically includes: calculating the mean and standard deviation of the energy efficiency standardized target data and the second core energy efficiency data measurement values ​​after time synchronization within a certain fixed time period, constructing an interval range based on the mean and standard deviation, and marking data points that exceed the interval range as outliers and removing them;

[0038] The null value interpolation processing based on linear interpolation specifically includes: for missing data points in the time series of energy efficiency standardization target data and second core energy efficiency data measurement values ​​collected within a fixed time period after time synchronization, linear interpolation is performed using the time and value of the two adjacent valid data points to obtain the missing value completion value.

[0039] Preferably, in the unified data identifier mapping module, the mathematical expression of the standardized mapping rule is:

[0040] ,

[0041] in, To provide a unified data identifier for the energy efficiency of the mapped marine equipment. A mapping and transformation function for unified data identification of energy efficiency of marine equipment; The original data identifier for the preprocessed energy efficiency standardization target data and the second core energy efficiency data measurement values; A set of mapping rules for unified data identification of energy efficiency of marine equipment. These are the mapping relationships between device type code, parameter category code, acquisition attribute code, accuracy level code, and check code.

[0042] The technical effects of this invention are as follows:

[0043] This invention provides a standardized integration and access method for marine equipment operating energy efficiency data, also known as a marine equipment energy efficiency data integration and access method based on adaptive temporal association logic. First, marine equipment is divided into multiple equipment categories according to function, and core energy efficiency data is set for each category. Then, a standardized energy efficiency data system is constructed, solving the problem of data semantic inconsistency caused by manufacturer-specific protocols in existing marine equipment, and realizing the classification management and semantic unification of energy efficiency data. Furthermore, based on this system, a five-level coding rule is designed to generate a unified data identifier for marine equipment operating energy efficiency, where the equipment type code and parameter category code ensure the data source and... The traceability of data types, the collection attribute code distinguishing between wired and wireless collection paths, the precision level code reflecting the data quality level, and the check code ensuring the integrity of the identification transmission through weighted summation and modulo operation, have established a structured, scalable, and misread-proof unified identification system. This unified identification system not only achieves unique coding of data identity but also embeds rich metadata, supporting automatic data identification and interoperability across manufacturers, protocols, and systems. It fundamentally breaks down data silos in the field of ship energy efficiency, provides a universal "language" for the integration of multi-source heterogeneous data, and effectively solves the problems of difficult integration and weak access adaptability of energy efficiency data from multi-source heterogeneous equipment in ships. Then, the first core energy efficiency data measurement values ​​from devices with standard interfaces were acquired via wired connection. These values ​​were then converted from local bus protocol to energy efficiency standardized target data encapsulated in industrial Ethernet protocol using a protocol conversion function. This achieved compatibility and integration of communication protocols between new and old devices, avoiding redundant deployment and resource waste, and effectively improving the flexibility of data access. Simultaneously, the second core energy efficiency data measurement values ​​from devices without standard interfaces were directly acquired wirelessly, expanding the coverage of older devices and distributed sensors, significantly improving system access flexibility. The wired access standardized target data and the wireless access non-standard device data together... This process generates multi-source heterogeneous energy efficiency data. A second pulse signal from the Global Positioning System (GPS) is introduced to synchronize the two types of data, eliminating time discrepancies between wired and wireless acquisition paths and ensuring the consistency of the multi-source data in terms of timing. Furthermore, by performing over-range cleaning based on the 3σ criterion and null value interpolation based on linear interpolation on the time-synchronized data, abnormal jump values ​​caused by sensor malfunctions or interference can be automatically identified and removed. Simultaneously, data gaps caused by communication interruptions or acquisition failures are reasonably filled, effectively improving the integrity and reliability of the original data and providing high-quality input for subsequent high-precision analysis.Then, based on the preset mapping rule set, the original data identifiers of the pre-processed multi-source heterogeneous energy efficiency data are uniformly mapped to the unified data identifiers of marine equipment operating energy efficiency through standardized mapping rules. This achieves semantic alignment and identity unification of energy efficiency data from different sources and in different formats under a unified namespace. This process breaks down the data silos caused by equipment manufacturers' proprietary identifiers, enabling data from different systems and protocols to be uniformly identified, associated, and invoked by the system. This greatly enhances the comparability and manageability of the data, providing key support for the integration and sharing of energy efficiency data across devices and systems. Finally, by acquiring the main engine load rate, speed change rate, and wind and wave level as operational status information, the system can accurately reflect the ship's current energy demand and external disturbance level, providing reliable criteria for subsequent operational condition identification and improving the system's ability to perceive the real operating environment. By classifying the ship's operational conditions into steady-state navigation conditions, variable conditions, and wind and wave disturbance conditions based on operational status information, the system achieves refined classification of complex navigation conditions, providing a decision-making basis for differentiated data processing strategies. Furthermore, by dynamically adjusting the time window width and polynomial order based on the operational condition judgment results, the data fitting process has adaptive time-series quality control capabilities: a longer window and a lower-order polynomial are used under steady-state conditions to enhance smoothness, while a shorter window and a higher-order polynomial are used under variable conditions to retain dynamic characteristics. This achieves adaptive quality control of marine equipment operating energy efficiency data and real-time optimization of energy efficiency data processing strategies, effectively balancing the contradiction between noise suppression and trend response. Then, by performing high-order polynomial fitting on multi-source heterogeneous energy efficiency data with unified data identifiers within a data interval defined by a dynamic time window, and minimizing the sum of squared residuals using the least squares method, nonlinear trend extraction and random noise suppression of marine equipment energy efficiency data were achieved. The volatility of the output data was reduced by more than 50%, significantly improving data quality and reliability. Finally, by transmitting the fitted standardized energy efficiency data to the ship energy efficiency management platform, it was ensured that high-quality data after quality control could be directly received and used by the upper-level system, solving the problem of "collecting but not being able to use" multi-source heterogeneous energy efficiency data. This truly achieved end-to-end integrated access from data collection to business applications. By constructing a closed-loop quality control mechanism of "perception-judgment-adjustment-processing-output" for adaptive time-series quality control, the problem of energy efficiency data noise and abnormal fluctuations caused by the ship navigation environment was solved. Real-time optimization of energy efficiency data processing strategies was achieved, ensuring that marine equipment energy efficiency data maintains high stability and high availability under different operating conditions. This provides a solid data foundation for ship carbon emission accounting (such as CII), energy efficiency optimization, and digital twin modeling. Compared with traditional fixed-parameter methods, this approach responds faster under varying operating conditions and is more stable under steady-state conditions, significantly improving the availability and reliability of the data and providing a high-quality data foundation for ship energy efficiency management.

[0044] This invention constructs a standardized energy efficiency data system and generates unified data identifiers for marine equipment operation energy efficiency, achieving semantic unification and identity coding of marine equipment energy efficiency data. This solves the adaptation problem of heterogeneous energy efficiency data for marine equipment and overcomes the challenge of data heterogeneity in marine equipment. Combining multi-source heterogeneous data acquisition, time synchronization, and preprocessing mechanisms, it is compatible with both new and old equipment, as well as various wired and wireless access methods, significantly improving the integrity and reliability of data acquisition. By collecting and fusing cross-system marine equipment energy efficiency data, adaptability is effectively improved. Furthermore, through unified identifier mapping and adaptive time-series quality control, a smooth, consistent, and highly reliable integrated energy efficiency data stream is output, effectively suppressing noise interference and abnormal fluctuations caused by the ship navigation environment. This outputs highly reliable, low-jitter, smooth energy efficiency data, ensuring the credibility of the output data. The entire solution forms a closed-loop technical chain of "standard definition—heterogeneous access—unified identification—quality improvement," effectively solving core problems such as "incomplete collection, unstable transmission, poor management, and ineffective use" caused by proprietary protocols, fragmented architectures, chaotic identification, and inconsistent quality of ship energy efficiency data. It not only provides technical support for ship energy efficiency compliance and operational optimization but also contributes to the coordinated development of digitalization and greening in the shipping industry, possessing social and economic value. This invention, by constructing standardized, high-quality marine equipment operational energy efficiency data, can be used to support the International Maritime Organization (IMO) monitoring of ship energy efficiency design indices, existing ship energy efficiency indices, and carbon intensity indicators, and supports the actual operation of ship energy efficiency monitoring platforms, avoiding risks caused by inconsistent data formats. Simultaneously, standardized marine equipment energy efficiency data is a core data source for realizing digital twins of intelligent ships, intelligent engine rooms, and other digital systems. This invention provides a reusable data integration and access method for the system, promoting the shipping industry's transformation towards "data-driven" operations, laying a data foundation for the development of smart shipping, and providing technical support for the greening and digital transformation of the shipping industry. Furthermore, compared to traditional customized access solutions, this invention achieves plug-and-play, cross-system interoperability, and automated integration of marine equipment energy efficiency data, significantly reducing deployment costs and maintenance complexity, and improving data standardization and management efficiency. The high-quality, standardized energy efficiency data output can directly serve compliance assessments of international maritime regulations such as the Energy Efficiency Design Index (EEDI), Existing Energy Efficiency Index (EEXI), and Carbon Intensity Index (CII), providing solid and reliable technical support for the implementation of my country's green shipping strategy, the intelligent upgrading of the shipbuilding industry, and the achievement of global carbon emission reduction targets.

[0045] Furthermore, the equipment type code uses a 2-digit code to define four core equipment categories: power, electricity, auxiliary, and environmental protection. This enables the system to quickly identify equipment functional attributes and supports energy efficiency analysis and management by category. The parameter category code uses a 3-digit code to distinguish key energy efficiency parameter types such as power, fuel consumption, and flow rate, ensuring semantic consistency and comparability of similar parameters across different devices. The acquisition attribute code uses a 5-digit code, with the first two digits indicating wired or wireless acquisition methods and the last three digits recording the acquisition frequency (at the second level). This not only enables traceability of the acquisition path but also provides key metadata support for subsequent data quality assessment and time series analysis. The accuracy level code uses a 3-digit code to define three levels of measurement accuracy: high, medium, and conventional. This allows the system to perform graded processing and application based on data reliability, improving decision reliability. Most importantly, the checksum is generated by weighted summation and modulo operation of the first four levels of codes, providing data integrity verification capabilities and effectively preventing misreading or tampering of the identifiers due to interference during transmission or storage. This five-level coding system organically integrates equipment information, parameter type, acquisition method, accuracy level, and verification mechanism into a 16-bit digital identifier, forming a compact, scalable, and error-resistant "data ID card." This not only significantly improves the standardization and interoperability of marine energy efficiency data but also provides rich contextual information for subsequent unified mapping, intelligent cleaning, adaptive fitting, and other processing. It is the core foundation for achieving efficient integration and reliable management of energy efficiency data from multi-source heterogeneous equipment.

[0046] Furthermore, the over-range cleaning process based on the 3σ criterion specifically includes: calculating the mean and standard deviation of the energy efficiency standardized target data and the second core energy efficiency data measurement values ​​after time synchronization within a fixed time period, constructing an interval range based on the mean and standard deviation, marking data points outside the interval range as outliers and removing them. This can adaptively identify and remove abnormal data points that significantly deviate from the normal fluctuation range due to sensor failure, communication interference, or transient equipment anomalies, effectively preventing "bad data" from misleading subsequent energy efficiency assessments and decision analysis, and significantly improving the accuracy and reliability of the data.

[0047] The missing value interpolation processing based on linear interpolation specifically includes: for missing data points in the time series of energy efficiency standardization target data and second core energy efficiency data measurement values ​​collected within a fixed time period after time synchronization, linear interpolation is performed using the time and value of the two adjacent valid data points to obtain the completed value of the missing value. This ensures the continuity and integrity of the time series data and avoids analysis interruption or model failure caused by data breakpoints. This collaborative processing flow of cleaning and interpolation not only achieves automatic "denoising" and "completion" of multi-source energy efficiency data, but also maintains the smooth transition and physical rationality of the data in the time dimension, which is particularly suitable for scenarios with complex ship operating conditions and frequent data fluctuations. Compared with manual intervention or simple threshold filtering, this method has the advantages of strong adaptability, high computational efficiency, and low implementation cost. It provides high-quality and high-completeness input data for subsequent unified identifier mapping and high-order polynomial fitting, and is a key link in ensuring the reliability of the standardized integration and access results of marine equipment energy efficiency data.

[0048] This invention also relates to a standardized integrated access system for marine equipment operating energy efficiency data. This system corresponds to the aforementioned standardized integrated access method for marine equipment operating energy efficiency data and can be understood as a system that implements the aforementioned standardized integrated access method for marine equipment operating energy efficiency data. It includes a system construction and unified data identifier generation module, a multi-source heterogeneous energy efficiency data acquisition and processing module, a unified data identifier mapping module, and a high-order polynomial fitting processing module, all connected sequentially. These modules work collaboratively to effectively solve the core problems of "data silos" and "integration difficulties" caused by the diverse sources, proprietary protocols, and heterogeneous interfaces of marine equipment energy efficiency data. By constructing a unified data identifier system, semantic unification and standardized expression of multi-source heterogeneous equipment energy efficiency data are achieved, overcoming the bottleneck of direct comparison and use of cross-system data. The designed wired and wireless hybrid access architecture is compatible with new devices with standard interfaces and older devices without standard interfaces, avoiding the network reconstruction problems required due to device updates or type changes in traditional solutions, significantly reducing access costs and deployment cycles. By deploying a quality control mechanism based on over-range cleaning, null value interpolation, and adaptive temporal correlation logic, noise interference and abnormal fluctuations caused by the ship's navigation environment are effectively suppressed, outputting highly reliable, low-jitter, and smooth energy efficiency data that truly reflects the equipment's operating status. This invention not only provides high-quality, standardized data support for ship energy efficiency compliance assessments (such as monitoring IMO's EEDI, EEXI, and CII indicators), avoiding compliance risks caused by inconsistent data formats, but also constructs a reusable and scalable data integration and access paradigm. The generated standardized energy efficiency data serves as a core data source for digital systems such as intelligent ship digital twins and intelligent engine rooms, powerfully promoting the transformation and upgrading of the shipping industry from "experience-driven" to "data-driven," laying a solid data foundation for realizing a green, intelligent, and smart modern shipping system. Attached Figure Description

[0049] Figure 1 This is a flowchart of the standardized integration and access method for marine equipment operating energy efficiency data according to the present invention.

[0050] Figure 2 This is a schematic diagram of the unified data identification for the operational energy efficiency of marine equipment according to the present invention.

[0051] Figure 3 This is a schematic diagram of the wired and wireless hybrid access architecture of the present invention. Detailed Implementation

[0052] The present invention will now be described with reference to the accompanying drawings.

[0053] This invention relates to a standardized integrated access method for marine equipment operating energy efficiency data. By constructing a unified data identification system, it overcomes the challenge of heterogeneous marine equipment data. A hybrid wired and wireless access architecture is designed for marine equipment operating energy efficiency, improving the method's adaptability. Furthermore, a data quality control architecture is deployed to ensure the credibility of the output ship energy efficiency data. This not only provides technical support for ship energy efficiency compliance and operational optimization but also contributes to the coordinated development of digitalization and greening in the shipping industry, possessing social and economic value. The flowchart of this method is as follows: Figure 1 As shown, the steps are as follows:

[0054] S1: Marine equipment is divided into multiple equipment categories according to function, and core energy efficiency data is set for each category of marine equipment. An energy efficiency data standardization system is constructed based on the equipment category and core energy efficiency data. Based on the energy efficiency data standardization system, a unified data identifier for the operating energy efficiency of marine equipment is generated through a pre-designed five-level coding rule. The five-level coding rule includes equipment type code, parameter category code, acquisition attribute code, accuracy level code, and check code.

[0055] This step can also be understood as building a standardized system for marine equipment energy efficiency data (the energy efficiency of marine equipment during operation). The aim is to create a globally unique, standardized "digital ID card" (i.e., unified data identifier) ​​for each type of marine equipment and each energy consumption parameter, thus solving the problem of "language barriers" between different equipment. Taking a bulk carrier as an example, this ship is equipped with the following typical marine equipment: one main engine with a rated power of 18260kW (power generation); three marine generators with a rated power of 1200kW (electrical generation); and four generators with a rated flow rate of 1200... The ship has a marine seawater cooling pump and two air compressors, both auxiliary equipment; a marine desulfurization tower and a marine ballast water treatment system, both environmental protection equipment. Based on the marine equipment equipped on this bulk carrier, the required energy efficiency data covers 23 categories of core energy efficiency data, such as main engine fuel consumption rate, generator power, and pump energy consumption ratio, involving five communication protocols, such as Modbus-RTU, CANopen, Profibus-DP, proprietary protocols, and equipment without standard interfaces. Specifically, the marine equipment is first divided into multiple categories according to function, including power, auxiliary, environmental, and electrical equipment. Power equipment includes marine engines and propellers; auxiliary equipment includes pumps and fans; environmental equipment includes ballast water treatment equipment and exhaust gas after-treatment devices; and electrical equipment includes generators and transformers. Core energy efficiency data are established for each type of marine equipment. For power equipment, core energy efficiency data includes output power, fuel flow rate, mean effective pressure, shaft power, speed, and open water efficiency. For auxiliary equipment, core energy efficiency data includes flow rate, head, air volume, and air volume per unit power. For environmental protection equipment, core energy efficiency data includes throughput, salinity, and energy consumption ratio. For electrical equipment, core energy efficiency data includes output power, power factor, load loss, and no-load loss. Based on the equipment category and core energy efficiency data, a standardized energy efficiency data system is constructed, as shown in Table 1.

[0056]

[0057] Then, as Figure 2 As shown, based on the energy efficiency data standardization system and through a pre-designed five-level coding rule (five-level marine equipment energy efficiency data coding rule), a unified data identifier for the operating energy efficiency of marine equipment is generated. The five-level coding rule includes equipment type code, parameter category code, acquisition attribute code, accuracy level code, and check code. The equipment type code is a 2-digit numeric code (e.g., ...). Figure 2 The first two digits (as shown) are used to identify the equipment category of marine equipment, where 01 represents power equipment, 02 represents electrical equipment, 03 represents auxiliary equipment, and 04 represents environmental protection equipment; the parameter category code is a 3-digit numeric code (e.g., ...). Figure 2 The 3rd to 5th digits (as shown) are used to identify the type of core energy efficiency data for marine equipment, where 001 represents power parameters, 002 represents fuel consumption parameters, and 003 represents temperature parameters; the acquisition attribute code is a 5-digit numeric code (e.g., ...). Figure 2 The 6th to 10th digits (as shown) describe the data acquisition method and frequency. The first two digits indicate the data acquisition method: 01 for wired acquisition and 02 for wireless acquisition. The last three digits indicate the data acquisition frequency in seconds. The precision level code is a 3-digit numeric code (e.g., ...). Figure 2The 11th to 13th digits (as shown) are used to characterize the accuracy of data measurement, where 001 indicates high accuracy (error less than 0.1%), 002 indicates medium accuracy (error less than 1%), and 003 indicates normal accuracy (error less than 5%). The check digit is a 3-digit code (e.g., ...). Figure 2 The 14th-16th digits shown are generated by performing a weighted summation and modulo operation on the equipment type code, parameter category code, acquisition attribute code, and precision level code. This is used to verify the completeness and accuracy of the unified data identifier for marine equipment operating energy efficiency. The mathematical expression for the unified data identifier for marine equipment operating energy efficiency is:

[0058]

[0059] In the above formula, To establish a unified data labeling system for the energy efficiency of marine equipment. This is a 2-digit equipment type code, indicating the equipment category of the marine equipment. This is a 3-digit parameter category code, indicating the relevant type of core energy efficiency data for marine equipment. It is a 5-digit data acquisition attribute code, which indicates the data acquisition characteristics of energy efficiency data (data acquisition method and acquisition frequency). A 3-digit precision grade code indicates the measurement precision level of the energy efficiency data. The 3-digit check digit indicates the completeness and accuracy of the code (Unified Data Identifier for Energy Efficiency of Marine Equipment).

[0060] The five-level coding rules are shown in Table 2.

[0061]

[0062] Taking the core energy efficiency data "generator output power" of "marine generator" as an example, its equipment type code For the power category, set to 02; parameter category code. For power-related parameters, set to 001; Acquisition attribute code. This is a wired acquisition mode, acquiring data every 120 seconds, set to 01120; precision level code. For medium precision, with an error ≤1%, set to 002; check code. The value was 156. Ultimately, a unified data identifier for the operational energy efficiency of the ship's equipment was determined. The digital ID number for the "Marine Generator Output Power" data is 02-001-01120-002-156.

[0063] S2: The first core energy efficiency data measurement value, encapsulated in a local bus protocol, is acquired from marine equipment with an industrial standard interface via a wired connection. This first core energy efficiency data measurement value is then converted into energy efficiency standardization target data encapsulated in an industrial Ethernet protocol using a protocol conversion function. A second core energy efficiency data measurement value is then wirelessly acquired from marine equipment without a standard interface, forming multi-source heterogeneous energy efficiency data. The energy efficiency standardization target data and the second core energy efficiency data measurement value in the multi-source heterogeneous energy efficiency data are synchronized in time using a second pulse signal provided by the Global Positioning System. The synchronized multi-source heterogeneous energy efficiency data (energy efficiency standardization target data and second core energy efficiency data measurement value) is then preprocessed. This preprocessing includes over-range cleaning based on the 3σ criterion and null value interpolation based on linear interpolation.

[0064] This step can be understood as constructing a hybrid wired and wireless access architecture for the energy efficiency of marine equipment operation. Specifically, such as... Figure 3 As shown, the system first acquires the first core energy efficiency data measurement value, encapsulated in a local bus protocol (such as Modbus-RTU or CANopen), from marine equipment with an industrial standard interface via a wired connection. Then, a protocol conversion function converts this first core energy efficiency data measurement value, encapsulated in the local bus protocol, into energy efficiency standardized target data encapsulated in the industrial Ethernet protocol (EtherNet / IP). For example, for marine equipment with industrial standard interfaces such as the main engine and generator of this bulk carrier, the system uses the raw data (first core energy efficiency data measurement value) output by the main engine with the industrial standard interface via the local bus protocol (CANopen). The data is processed using a protocol conversion function, where the original data unit is g / kWh, conforming to shipbuilding standards, i.e., the unit conversion factor. and offset Ultimately, it is packaged into industrial Ethernet protocol data (energy efficiency standardization target data). The mathematical expression for the protocol conversion function is as follows:

[0065]

[0066]

[0067]

[0068] In the formula, and These are the first core energy efficiency data measurement values ​​encapsulated in the local bus protocol and the standardized energy efficiency target data for marine equipment in the industrial Ethernet protocol after conversion. It serves as a unique serial number identifier for marine equipment. These are the names of the core energy efficiency parameters for marine equipment. and These are the source value (raw measurement value) and target value for the energy efficiency of marine equipment, respectively. For energy efficiency data standards for marine equipment, This refers to the unit conversion factor for marine equipment energy efficiency data. This represents the offset of energy efficiency data for marine equipment. This is a source data parsing function used to extract marine equipment energy efficiency semantics from the raw data of the local bus protocol, that is, from the first core energy efficiency data measurement values ​​encapsulated in the local bus protocol. In the process, the unique serial number identifier of the marine equipment corresponding to the data is extracted through parsing. Core energy efficiency parameter names and raw measurement values ​​of the data ; This is a protocol semantic mapping function used to convert the energy efficiency source values ​​of marine equipment in the local bus protocol into the energy efficiency target values ​​of marine equipment in the industrial Ethernet protocol, i.e., referring to the marine equipment energy efficiency data standard. The original measured values ​​of the data extracted through analysis Perform unit calibration and offset correction to convert the data into standardized values ​​that meet the energy efficiency data standards for marine equipment. ; This is a target protocol encapsulation function used to encapsulate the energy efficiency semantics of marine equipment into standardized target data for marine equipment energy efficiency using the Industrial Ethernet protocol, i.e., a unique serial number identifier for the marine equipment. Core energy efficiency parameter names and the standardized numerical values ​​of the transformation Encapsulated as energy efficiency standardization target data stored in Industrial Ethernet protocol format .

[0069] Next, the second core energy efficiency data measurements of aging marine equipment without standard interfaces are collected wirelessly. For example, for aging marine equipment without standard interfaces, such as seawater cooling pumps, IP67-rated LoRaWAN wireless sensor nodes (typically supporting the LoRaWAN protocol, with transmission distance and power consumption requirements meeting actual ship deployment requirements) are deployed to collect second core energy efficiency data measurements such as pump outlet pressure and motor current of the seawater cooling pump without a standard interface. Then, the energy efficiency standardization target data and the second core energy efficiency data measurements are synchronized in time using the second pulse signal provided by the Global Positioning System (GPS) to resolve the time discrepancy between wireless and wired data, while meeting the constraints of transmission accuracy and transmission rate. Finally, the time-synchronized energy efficiency standardization target data and the second core energy efficiency data measurements are preprocessed. The preprocessing includes over-range cleaning based on the 3σ criterion and null value interpolation based on linear interpolation. Specifically, the over-range cleaning based on the 3σ criterion includes calculating the mean values ​​of the time-synchronized energy efficiency standardization target data and the second core energy efficiency data measurements within a fixed time period. The mean and standard deviation σ are used to construct an interval range. Data points outside the interval range are marked as outliers and removed, as shown in the following formula:

[0070]

[0071] In the above formula, and This is to obtain standardized target data for energy efficiency and measured values ​​for the second core energy efficiency data before and after over-range cleaning treatment. Outlier values ​​in the energy efficiency data of marine equipment were marked and removed. σ and σ represent the mean and standard deviation, respectively.

[0072] The missing value interpolation processing based on linear interpolation specifically includes: for missing data points in the time series of energy efficiency standardized target data and second core energy efficiency data measurement values ​​collected within a fixed time period after time synchronization, linear interpolation is performed using the time and value of the two adjacent valid data points to complete the missing values ​​of marine equipment energy efficiency data, resulting in the completed values, as shown in the following formula:

[0073]

[0074] In the formula, This is a time series collected within a fixed time period, during which there are null values. The corresponding energy efficiency standardization target data or the measured value of the second core energy efficiency data; This refers to the number of data collection points within this fixed time period. and These represent the collection time and the imputation value corresponding to the missing value (missing data point); and This represents the effective collection time and value before and after the missing value (missing data point).

[0075] S3: Based on the preset mapping rule set, the original data identifiers of the preprocessed multi-source heterogeneous energy efficiency data are mapped to unified data identifiers for marine equipment operation energy efficiency through standardized mapping rules.

[0076] This step can also be understood as establishing a cross-system marine equipment energy efficiency data mapping and fusion mechanism, mapping the collected preprocessed multi-source heterogeneous energy efficiency data (i.e., energy efficiency standardization target data and second core energy efficiency data measurement values ​​can be collectively referred to as multi-source heterogeneous energy efficiency data) to a unified data identifier for marine equipment operation energy efficiency. That is, the original data identifiers from different systems on board (such as the PMS power plant management system and the CMS equipment monitoring system) are all "translated" into the unified "digital ID card" code defined in step S1. Specifically, according to a preset mapping rule set, the original data identifiers of the preprocessed energy efficiency standardization target data and second core energy efficiency data measurement values ​​are mapped to a unified data identifier for marine equipment operation energy efficiency through standardized mapping rules. For example, mapping the original data identifier of the existing PMS system of this bulk carrier to a unified data identifier for marine equipment operation energy efficiency, taking the marine generator power as an example, the original data identifier of its PMS system is "GEN-01-PWR", which is converted based on the mapping rule set of marine equipment operation energy efficiency data identifiers. The mapping rules record the following: "GEN" is mapped to electrical equipment based on equipment type, i.e., coded as "02"; "PWR" is mapped to power parameters based on parameter category, i.e., coded as "001"; the PMS system uses a wired acquisition method with a acquisition frequency of 30 seconds / time, mapped to code "01030" based on the acquisition attribute; the PMS system's data precision is ±0.5%, mapped to high precision based on the precision level, i.e., coded as "001"; the checksum is calculated as 207 after weighted summation and modulo operation, resulting in a final mapping result of 02-001-01030-001-207 for the unified data identifier of marine equipment operating energy efficiency. The mathematical expression for the standardized mapping rule is:

[0077]

[0078] in, To provide a unified data identifier for the energy efficiency of the mapped marine equipment. A mapping and transformation function for unified data identification of energy efficiency of marine equipment; The original data identifier for the preprocessed energy efficiency standardization target data and the second core energy efficiency data measurement values; A set of mapping rules for unified data identification of energy efficiency of marine equipment. These are the mapping relationships between device type code, parameter category code, acquisition attribute code, accuracy level code, and check code.

[0079] S4: Obtain the ship's current operating status information, including main engine load rate, speed change rate, and wind and wave level; determine the ship's current operating condition based on the operating status information, including steady-state navigation condition, variable operating condition, and wind and wave disturbance condition; dynamically set the time window width and polynomial order based on the determination result of the current ship operating condition; within the time window centered on the current moment and determined by the time window width, perform high-order polynomial fitting processing on the mapped energy efficiency standardized target data and the second core energy efficiency data measurement values ​​with unified data identification of marine equipment operating energy efficiency, based on the polynomial order, output the fitted standardized energy efficiency data and transmit it to the ship energy efficiency management platform to realize the standardized integrated access of marine equipment energy efficiency data.

[0080] This step can be understood as a quality control step for the mapped, multi-source heterogeneous energy efficiency data (energy efficiency standardization target data and second core energy efficiency data measurement values) with unified data identification for marine equipment operation energy efficiency. It is used to eliminate noise interference generated by ship navigation (such as wind and waves, changing operating conditions) on the marine equipment energy efficiency data (multi-source heterogeneous energy efficiency data), restore the true energy efficiency state of the equipment, and thus achieve standardized integrated access to marine equipment energy efficiency data. Specifically, it first acquires the ship's current operating status information, including main engine load rate, speed change rate, and wind and wave level; then, based on the operating status information, it determines the current ship operating condition, including steady-state navigation condition, changing operating condition, and wind and wave disturbance condition; and dynamically sets the time window width based on the determination result of the current ship operating condition. and polynomial order ,in:

[0081] 1) When the navigation condition is determined to be steady state, set a longer time window width. (e.g., setting the time window width to 600 seconds) and a lower polynomial order. (For example, setting the polynomial order to 2);

[0082] 2) When the condition is determined to be a variable operating condition, set a shorter time window width. (e.g., setting the time window width to 60 seconds) and a higher polynomial order (For example, setting the polynomial order to 4);

[0083] 3) When the condition is determined to be wind and wave disturbance, set a time window width of medium length. (e.g., setting the time window width to 300 seconds) and polynomials of intermediate order. (For example, setting the polynomial order to 3);

[0084] Among them, the time window width Indicates the time range of the data used for fitting, in seconds; polynomial order. This represents the highest power of the fitted polynomial.

[0085] At the current moment Centered on, and defined by the width of the time window Specific time window Within this process, the mapped energy efficiency standardized target data and the second core energy efficiency data measurement values, which have unified data identification for marine equipment operation energy efficiency, are subjected to high-order polynomial fitting based on the polynomial order, i.e., a data sequence is first constructed. ,in, Relative time index, ,in, This refers to the data collection cycle.

[0086] Build another one The order polynomial model is shown in the following equation:

[0087]

[0088] in, For the first The fitted values ​​output at each time point after data quality control. Let be the order of the polynomial. Let be the coefficients of the higher-order polynomial to be determined.

[0089] And define the residual sum of squares function. As shown in the following formula:

[0090]

[0091] in, For the first time within this time window The original energy efficiency data of marine equipment (i.e., the mapped energy efficiency standardized target data and the second core energy efficiency data measurement value with unified data identification of marine equipment operation energy efficiency).

[0092] Then, the coefficients of the higher-order polynomials are solved using the least squares method. This makes the sum of squared residuals The optimal coefficients are obtained by minimizing them and then substituting them into the polynomial model to obtain the standardized energy efficiency data fitted at the current moment. This data is then transmitted to the ship energy efficiency management platform to achieve adaptive quality control and standardized integration of multi-source heterogeneous energy efficiency data.

[0093] Taking the fuel consumption rate data of the main engine of a bulk carrier as an example, this study analyzes the operating conditions of the main engine and the influence of the ship's navigation environment within a fixed time period (time window) to determine the time window width and polynomial order for quality control polynomial fitting. This process is based on statistical analysis of actual engineering test data from ship navigation. For example, when the ship is affected by wind and waves, and the main engine is in a stable operating condition, a time window width of 9 and a polynomial order of 2 can be used as a reference. Using the main engine fuel consumption rate data collected continuously for 72 hours as input, a total of 259,200 data points are obtained based on a 1Hz sampling frequency for quality control. The test results show that the noise suppression rate under wind and waves is 58%, and the trend deviation rate has decreased from the original 4.5% to 1.2%. At the same time, the filtered values ​​are verified to determine that the core energy efficiency data is within a reasonable range. Similarly, considering the operating conditions of the main engine under low and high loads, the time window width and polynomial order are dynamically adjusted to achieve adaptive quality control of the ship's equipment operating energy efficiency data.

[0094] This invention also relates to a standardized integrated access system for marine equipment operating energy efficiency data. This system corresponds to the aforementioned standardized integrated access method for marine equipment operating energy efficiency data and can be understood as a system implementing the aforementioned method. The system includes, in sequence, a system construction and unified data identifier generation module, a multi-source heterogeneous energy efficiency data acquisition and processing module, a unified data identifier mapping module, and a high-order polynomial fitting processing module. Specifically,

[0095] The system construction and unified data identifier generation module divides marine equipment into multiple equipment categories according to function, and sets core energy efficiency data for each category of marine equipment. Based on the equipment category and core energy efficiency data, it constructs an energy efficiency data standardization system. Based on the energy efficiency data standardization system, and through a pre-designed five-level coding rule, it generates a unified data identifier for the operating energy efficiency of marine equipment. The five-level coding rule includes equipment type code, parameter category code, acquisition attribute code, accuracy level code, and check code.

[0096] The multi-source heterogeneous energy efficiency data acquisition and processing module acquires first core energy efficiency data measurement values ​​encapsulated in local bus protocol from marine equipment with industrial standard interfaces via a wired connection. It then converts these first core energy efficiency data measurement values ​​into energy efficiency standardization target data encapsulated in industrial Ethernet protocol using a protocol conversion function. Next, it wirelessly acquires second core energy efficiency data measurement values ​​from marine equipment without standard interfaces, forming multi-source heterogeneous energy efficiency data. The module synchronizes the energy efficiency standardization target data and the second core energy efficiency data measurement values ​​in the multi-source heterogeneous energy efficiency data using a second pulse signal provided by the Global Positioning System (GPS). Finally, it preprocesses the time-synchronized multi-source heterogeneous energy efficiency data, including over-range cleaning based on the 3σ criterion and null value interpolation based on linear interpolation.

[0097] The unified data identifier mapping module, according to a preset mapping rule set, maps the original data identifiers of the pre-processed multi-source heterogeneous energy efficiency data (energy efficiency standardization target data and the second core energy efficiency data measurement value) to unified data identifiers for marine equipment operation energy efficiency through standardized mapping rules.

[0098] The high-order polynomial fitting processing module acquires the ship's current operating status information, including main engine load rate, speed change rate, and wind and wave level; and determines the current ship operating condition based on the operating status information, including steady-state navigation condition, variable operating condition, and wind and wave disturbance condition; dynamically sets the time window width and polynomial order based on the determination result of the current ship operating condition; within the time window centered on the current moment and determined by the time window width, performs high-order polynomial fitting processing on the mapped energy efficiency standardized target data and the second core energy efficiency data measurement values ​​with unified data identification of marine equipment operating energy efficiency, outputs the fitted standardized energy efficiency data, and transmits it to the ship energy efficiency management platform to realize the standardized integrated access of marine equipment energy efficiency data.

[0099] Preferably, in the system construction and unified data identification generation module, the equipment type code is a 2-digit code used to identify the equipment category of marine equipment, wherein 01 represents power type, 02 represents electric type, 03 represents auxiliary type, and 04 represents environmental protection type;

[0100] The parameter category code is a 3-digit code used to identify the type of core energy efficiency data of marine equipment, where 001 represents power parameters, 002 represents fuel consumption parameters, and 003 represents temperature parameters.

[0101] The data acquisition attribute code is a 5-digit code used to describe the data acquisition method and acquisition frequency. The first 2 digits represent the data acquisition method, with 01 indicating wired acquisition and 02 indicating wireless acquisition. The last 3 digits represent the data acquisition frequency, in seconds.

[0102] The accuracy grade code is a 3-digit code used to characterize the accuracy grade of data measurement, where 001 represents high accuracy with an error of less than 0.1%, 002 represents medium accuracy with an error of less than 1%, and 003 represents normal accuracy with an error of less than 5%.

[0103] The verification code is a 3-digit code generated by performing a modulo operation after weighted summation of the equipment type code, parameter category code, acquisition attribute code, and accuracy level code. It is used to verify the integrity and accuracy of the unified data identification of the marine equipment's operating energy efficiency.

[0104] Preferably, in the multi-source heterogeneous energy efficiency data acquisition and processing module, the protocol conversion function includes a source data parsing function, a protocol semantic mapping function, and a target protocol encapsulation function executed sequentially. The source data parsing function extracts the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the original measurement value of the data from the first core energy efficiency data measurement value encapsulated in the local bus protocol. The protocol semantic mapping function, referring to the marine equipment energy efficiency data standard, performs unit calibration and offset correction on the extracted original measurement value of the data, converting it into a standardized value that meets the requirements of the marine equipment energy efficiency data standard. The target protocol encapsulation function encapsulates the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the converted standardized value into energy efficiency standardized target data stored in the industrial Ethernet protocol format.

[0105] Preferably, in the multi-source heterogeneous energy efficiency data acquisition and processing module, the over-range cleaning process based on the 3σ criterion specifically includes: calculating the mean and standard deviation of the energy efficiency standardized target data and the second core energy efficiency data measurement values ​​after time synchronization within a certain fixed time period, constructing an interval range based on the mean and standard deviation, and marking data points that exceed the interval range as outliers and removing them;

[0106] The null value interpolation processing based on linear interpolation specifically includes: for missing data points in the time series of energy efficiency standardization target data and second core energy efficiency data measurement values ​​collected within a fixed time period after time synchronization, linear interpolation is performed using the time and value of the two adjacent valid data points to obtain the missing value completion value.

[0107] Preferably, in the unified data identifier mapping module, the mathematical expression of the standardized mapping rule is:

[0108]

[0109] in, To provide a unified data identifier for the energy efficiency of the mapped marine equipment. A mapping and transformation function for unified data identification of energy efficiency of marine equipment; The original data identifier for the preprocessed energy efficiency standardization target data and the second core energy efficiency data measurement values; A set of mapping rules for unified data identification of energy efficiency of marine equipment. These are the mapping relationships between device type code, parameter category code, acquisition attribute code, accuracy level code, and check code.

[0110] Preferably, in the system construction and unified data identification generation module, the equipment categories include power, auxiliary, environmental protection, and electrical categories. The power category includes marine engines, marine main engines, and propulsion systems; the auxiliary category includes seawater cooling pumps, air compressors, and fans; the environmental protection category includes ballast water treatment equipment, desulfurization towers, and exhaust gas after-treatment devices; and the electrical category includes marine generators and transformers.

[0111] The core energy efficiency data for the power-type marine equipment includes output power, fuel consumption rate, mean effective pressure, shaft power, rotational speed, speed, and open water efficiency; the core energy efficiency data for the auxiliary marine equipment includes flow rate, head, air volume, and air volume per unit power; the core energy efficiency data for the environmental protection-type marine equipment includes throughput, salinity, and energy consumption ratio; and the core energy efficiency data for the electric marine equipment includes output power, power factor, load loss, and no-load loss.

[0112] This invention provides a standardized and scientific method and system for integrating and accessing marine equipment operational energy efficiency data. By constructing a unified data identifier for marine equipment operational energy efficiency, it solves the adaptation problem of heterogeneous energy efficiency data of marine equipment and overcomes the challenge of data heterogeneity in marine equipment. Furthermore, it employs a hybrid wired and wireless access architecture and data mapping mechanism to collect and fuse cross-system marine equipment energy efficiency data, effectively improving adaptability. Additionally, it designs a data quality control mechanism based on adaptive time-series correlation, effectively suppressing noise interference and abnormal fluctuations caused by the ship's navigation environment, outputting highly reliable, low-jitter, and smooth energy efficiency data, ensuring the credibility of the output data. This not only provides technical support for ship energy efficiency compliance and operational optimization but also contributes to the coordinated development of digitalization and greening in the shipping industry, possessing social and economic value.

[0113] It should be noted that the specific embodiments described above enable those skilled in the art to more fully understand the present invention, but do not limit the present invention in any way. Therefore, although the present invention has been described in detail with reference to the accompanying drawings and embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the present invention. In short, all technical solutions and improvements that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the present invention patent.

Claims

1. A standardized integrated access method for energy efficiency data of marine equipment operation, characterized in that, Includes the following steps: S1: Divide marine equipment into multiple equipment categories according to function, and set core energy efficiency data for each category of marine equipment. Construct an energy efficiency data standardization system based on equipment categories and core energy efficiency data. Based on the energy efficiency data standardization system, and through a pre-designed five-level coding rule including equipment type code, parameter category code, acquisition attribute code, accuracy level code and check code, generate a unified data identifier for the operating energy efficiency of marine equipment. S2: The system acquires first core energy efficiency data measurements encapsulated in local bus protocol from marine equipment with industrial standard interfaces via a wired connection. It then converts these measurements into energy efficiency standardization target data encapsulated in industrial Ethernet protocol using a protocol conversion function. Next, it wirelessly acquires second core energy efficiency data measurements from marine equipment without standard interfaces, forming multi-source heterogeneous energy efficiency data. The system synchronizes the energy efficiency standardization target data with the second core energy efficiency data measurements using a second pulse signal provided by the Global Positioning System (GPS). Finally, it preprocesses the time-synchronized multi-source heterogeneous energy efficiency data, including over-range cleaning based on the 3σ criterion and null value interpolation based on linear interpolation. S3: Based on a preset mapping rule set, the original data identifiers of the preprocessed multi-source heterogeneous energy efficiency data are mapped to unified data identifiers for marine equipment operating energy efficiency through standardized mapping rules; the mathematical expression of the standardized mapping rule is: ， in, To provide a unified data identifier for the energy efficiency of the mapped marine equipment. A mapping and transformation function for unified data identification of energy efficiency of marine equipment; The original data identifier for the preprocessed energy efficiency standardization target data and the second core energy efficiency data measurement values; A set of mapping rules for unified data identification of energy efficiency of marine equipment. These are the mapping relationships between device type code, parameter category code, acquisition attribute code, accuracy level code, and check code; S4: Obtain the ship's current operating status information, including main engine load rate, speed change rate, and wind and wave level; The system determines the current ship operating condition based on the operating status information, including steady-state navigation, variable operating conditions, and wind and wave disturbance conditions. Based on the determination of the current ship operating condition, the system dynamically sets the time window width and polynomial order. Within the time window centered on the current moment and determined by the time window width, the system performs high-order polynomial fitting processing on the mapped energy efficiency standardization target data and the second core energy efficiency data measurement values, which have unified data identification for marine equipment operating energy efficiency, based on the polynomial order. The system outputs the fitted standardized energy efficiency data and transmits it to the ship energy efficiency management platform, achieving standardized integrated access to marine equipment energy efficiency data.

2. A method for standardized integrated access to operational energy efficiency data of marine equipment according to claim 1, characterized in that, In step S1, the multiple equipment categories include power, auxiliary, environmental protection, and electrical equipment. The power category includes marine engines, marine main engines, and propulsion systems; the auxiliary category includes seawater cooling pumps, air compressors, and fans; the environmental protection category includes ballast water treatment equipment, desulfurization towers, and exhaust gas after-treatment devices; and the electrical equipment category includes marine generators and transformers. The core energy efficiency data for the power-type marine equipment includes output power, fuel consumption rate, mean effective pressure, shaft power, rotational speed, speed, and open water efficiency; the core energy efficiency data for the auxiliary marine equipment includes flow rate, head, air volume, and air volume per unit power; the core energy efficiency data for the environmental protection-type marine equipment includes throughput, salinity, and energy consumption ratio; and the core energy efficiency data for the electric marine equipment includes output power, power factor, load loss, and no-load loss.

3. The method of claim 2, wherein the standardized integration access of operational energy efficiency data of marine equipment is characterized by, In step S1, the equipment type code is a 2-digit code used to identify the equipment category of marine equipment, where 01 represents power type, 02 represents electric type, 03 represents auxiliary type, and 04 represents environmental protection type. The parameter category code is a 3-digit code used to identify the type of core energy efficiency data of marine equipment, where 001 represents power parameters, 002 represents fuel consumption parameters, and 003 represents temperature parameters. The data acquisition attribute code is a 5-digit code used to describe the data acquisition method and acquisition frequency. The first 2 digits represent the data acquisition method, with 01 indicating wired acquisition and 02 indicating wireless acquisition. The last 3 digits represent the data acquisition frequency, in seconds. The accuracy grade code is a 3-digit code used to characterize the accuracy grade of data measurement, where 001 represents high accuracy with an error of less than 0.1%, 002 represents medium accuracy with an error of less than 1%, and 003 represents normal accuracy with an error of less than 5%. The verification code is a 3-digit code generated by performing a modulo operation after weighted summation of the equipment type code, parameter category code, acquisition attribute code, and accuracy level code. It is used to verify the integrity and accuracy of the unified data identification of the marine equipment's operating energy efficiency.

4. A standardized integrated access method of operational energy efficiency data of marine equipment according to one of the claims 1 to 3, characterized in that, In step S2, the protocol conversion function includes a source data parsing function, a protocol semantic mapping function, and a target protocol encapsulation function executed sequentially. The source data parsing function extracts the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the original measurement value of the data from the first core energy efficiency data measurement value encapsulated in the local bus protocol. The protocol semantic mapping function, referring to the marine equipment energy efficiency data standard, performs unit calibration and offset correction on the extracted original measurement value of the data, converting it into a standardized value that meets the requirements of the marine equipment energy efficiency data standard. The target protocol encapsulation function encapsulates the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the converted standardized value into energy efficiency standardized target data stored in the industrial Ethernet protocol format. The local bus protocol includes the Modbus-RTU protocol and the CANopen protocol, and the industrial Ethernet protocol is the EtherNet / IP protocol.

5. The method of claim 4, wherein the standardized integration of access to operational energy efficiency data of marine equipment is characterized by, In step S2, the overrange cleaning process based on the 3σ criterion specifically includes: calculating the mean and standard deviation of the energy efficiency standardized target data and the second core energy efficiency data measurement values ​​after time synchronization within a certain fixed time period, constructing an interval range based on the mean and standard deviation, and marking data points that exceed the interval range as outliers and removing them; The null value interpolation processing based on linear interpolation specifically includes: for missing data points in the time series of energy efficiency standardization target data and second core energy efficiency data measurement values ​​collected within a fixed time period after time synchronization, linear interpolation is performed using the time and value of the two adjacent valid data points to obtain the missing value completion value.

6. A standardized integrated access system for energy efficiency data of marine equipment operation, characterized by, It includes a system construction and unified data identification generation module, a multi-source heterogeneous energy efficiency data acquisition and processing module, a unified data identification mapping module, and a high-order polynomial fitting processing module, which are connected in sequence. The system construction and unified data identifier generation module divides marine equipment into multiple equipment categories according to function, sets core energy efficiency data for each category of marine equipment, and constructs an energy efficiency data standardization system based on equipment categories and core energy efficiency data. Based on the energy efficiency data standardization system, and through a pre-designed five-level coding rule including equipment type code, parameter category code, acquisition attribute code, accuracy level code and check code, a unified data identifier for the operating energy efficiency of marine equipment is generated. The multi-source heterogeneous energy efficiency data acquisition and processing module acquires first core energy efficiency data measurement values ​​encapsulated in local bus protocol from marine equipment with industrial standard interfaces via a wired connection. It then converts these first core energy efficiency data measurement values ​​into energy efficiency standardization target data encapsulated in industrial Ethernet protocol using a protocol conversion function. Next, it wirelessly acquires second core energy efficiency data measurement values ​​from marine equipment without standard interfaces, forming multi-source heterogeneous energy efficiency data. The module synchronizes the energy efficiency standardization target data and the second core energy efficiency data measurement values ​​in the multi-source heterogeneous energy efficiency data using a second pulse signal provided by the Global Positioning System (GPS). Finally, it preprocesses the time-synchronized multi-source heterogeneous energy efficiency data, including over-range cleaning based on the 3σ criterion and null value interpolation based on linear interpolation. The unified data identifier mapping module, according to a preset mapping rule set, maps the original data identifiers of the preprocessed multi-source heterogeneous energy efficiency data to unified data identifiers for marine equipment operating energy efficiency through standardized mapping rules; the mathematical expression of the standardized mapping rule is: ， in, To provide a unified data identifier for the energy efficiency of the mapped marine equipment. A mapping and transformation function for unified data identification of energy efficiency of marine equipment; The original data identifier for the preprocessed energy efficiency standardization target data and the second core energy efficiency data measurement values; A set of mapping rules for unified data identification of energy efficiency of marine equipment. These are the mapping relationships between device type code, parameter category code, acquisition attribute code, accuracy level code, and check code; The high-order polynomial fitting processing module obtains the ship's current operating status information, which includes the main engine load rate, speed change rate, and wind and wave level. The system determines the current ship operating condition based on the operating status information, including steady-state navigation, variable operating conditions, and wind and wave disturbance conditions. Based on the determination of the current ship operating condition, the system dynamically sets the time window width and polynomial order. Within the time window centered on the current moment and determined by the time window width, the system performs high-order polynomial fitting processing on the mapped energy efficiency standardization target data and the second core energy efficiency data measurement values, which have unified data identification for marine equipment operating energy efficiency, based on the polynomial order. The system outputs the fitted standardized energy efficiency data and transmits it to the ship energy efficiency management platform, achieving standardized integrated access to marine equipment energy efficiency data.

7. A standardized integrated access system of operational energy efficiency data of marine equipment according to claim 6, characterized in that, In the system construction and unified data identifier generation module, the equipment type code is a 2-digit code used to identify the equipment category of marine equipment, where 01 represents power type, 02 represents electric type, 03 represents auxiliary type, and 04 represents environmental protection type. The parameter category code is a 3-digit code used to identify the type of core energy efficiency data of marine equipment, where 001 represents power parameters, 002 represents fuel consumption parameters, and 003 represents temperature parameters. The data acquisition attribute code is a 5-digit code used to describe the data acquisition method and acquisition frequency. The first 2 digits represent the data acquisition method, with 01 indicating wired acquisition and 02 indicating wireless acquisition. The last 3 digits represent the data acquisition frequency, in seconds. The accuracy grade code is a 3-digit code used to characterize the accuracy grade of data measurement, where 001 represents high accuracy with an error of less than 0.1%, 002 represents medium accuracy with an error of less than 1%, and 003 represents normal accuracy with an error of less than 5%. The verification code is a 3-digit code generated by performing a modulo operation after weighted summation of the equipment type code, parameter category code, acquisition attribute code, and accuracy level code. It is used to verify the integrity and accuracy of the unified data identification of the marine equipment's operating energy efficiency.

8. A standardized integrated access system of operational energy efficiency data of marine equipment according to claim 6 or 7, characterized in that, In the multi-source heterogeneous energy efficiency data acquisition and processing module, the protocol conversion function includes a source data parsing function, a protocol semantic mapping function, and a target protocol encapsulation function executed sequentially. The source data parsing function extracts the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the original measurement value of the data from the first core energy efficiency data measurement value encapsulated in the local bus protocol. The protocol semantic mapping function, referring to the marine equipment energy efficiency data standard, performs unit calibration and offset correction on the extracted original measurement value of the data, converting it into a standardized value that meets the requirements of the marine equipment energy efficiency data standard. The target protocol encapsulation function encapsulates the unique serial number identifier of the marine equipment, the name of the core energy efficiency parameter, and the converted standardized value into energy efficiency standardized target data stored in the industrial Ethernet protocol format. The overrange cleaning process based on the 3σ criterion specifically includes: calculating the mean and standard deviation of the energy efficiency standardized target data and the second core energy efficiency data measurement values ​​after time synchronization within a certain fixed time period, constructing an interval range based on the mean and standard deviation, and marking data points that exceed the interval range as outliers and removing them; The null value interpolation processing based on linear interpolation specifically includes: for missing data points in the time series of energy efficiency standardization target data and second core energy efficiency data measurement values ​​collected within a fixed time period after time synchronization, linear interpolation is performed using the time and value of the two adjacent valid data points to obtain the missing value completion value.

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