A digital evaluation method for ship trials

Abstract

This invention discloses a digital evaluation method for ship testing, relating to the field of ship digital testing technology. The method includes the following steps: analyzing the testing and verification content required for different physical objects within a ship at different stages of its lifecycle; forming a comprehensive ship testing requirements list based on the required testing and verification content; breaking down and refining the testing steps for each ship test on the requirements list to obtain the testing content of sub-tests; identifying the objects and scenarios in the tests based on the testing content of the sub-tests; constructing a digital testing maturity model; designing indicators for evaluating the digitalization level of objects and scenarios and calculating their weights; analyzing the digital maturity of each sub-test, using a weighted method to obtain the digitalization level of each ship test, and integrating them to obtain the overall evaluation result of the digitalization level of the comprehensive ship testing requirements list. This invention optimizes resource allocation, improves efficiency, and reduces costs during overall ship testing.

Description

Technical Field

[0001] This invention belongs to the field of ship testing technology, and in particular relates to a digital evaluation method for ship testing. Background Technology

[0002] To achieve the digital transformation of ship testing and promote the overall ship demonstration planning, R&D design, production and manufacturing, operation and maintenance, and iterative optimization, a ship digital testing system has been proposed. This system includes physical objects, digital objects, physical scenarios, and digital scenarios.

[0003] A physical object is an objective entity existing in the physical world for testing and verification. Physical objects typically possess the ability to interact with people and environments, can be modified, configured, and controlled by testing and verification personnel, and respond to environmental changes by interacting with the testing and verification environment. Ultimately, they exhibit real-time operating status and performance characteristics under different working conditions, and their operating data can be collected through corresponding sensors.

[0004] Digital objects are experimental and testing entities that exist in the digital world based on models and data. A digital object is a digital representation of an experimental or testing object, capable of partially or entirely replacing a physical object for experimental and testing purposes.

[0005] A physical scenario is the real-world environment in which tests and verifications are conducted to support the testing and verification of the subject. In ship testing and verification, a physical scenario refers to the actual environment and conditions used to test and verify the ship's performance, structure, safety, and seaworthiness.

[0006] A digital scenario is a virtual environment used to conduct tests and verifications in conjunction with the testing and verification entity. In ship testing and verification, a digital scenario refers to a virtual or digital environment that utilizes modern information technology and digital means to conduct a series of tests and verification activities on ships, such as performance evaluation, design verification, fault diagnosis, and optimization and improvement.

[0007] However, existing research has not proposed clear evaluation criteria for assessing the degree of digitization of different tests within a single ship. The numerous test items involved in a single ship make it difficult to allocate resources effectively and efficiently advance ship testing.

[0008] In response, this invention proposes a digital assessment method for ship testing. By conducting demand analysis on different physical objects of the ship and constructing a corresponding demand list, the test objects and test scenarios in the required test content are identified. Indicators for evaluating the digitalization of test objects and test scenarios are designed. Based on the identified degree of digitalization of test objects and test scenarios, and based on the constructed maturity model, the digital maturity of multiple sub-tests of the physical object can be directly assessed. Summary of the Invention

[0009] The purpose of this invention is to provide a digital evaluation method for ship testing, in order to solve the problem mentioned in the background art that the prior art does not address how to evaluate the degree of digitalization of testing.

[0010] To achieve the above objectives, the present invention employs the following technical solution:

[0011] This invention proposes a digital evaluation method for ship trials, comprising the following steps:

[0012] S1. Requirement Analysis: Analyze the test and verification requirements for different physical objects in a ship at different stages of its life cycle;

[0013] S2. Create a list: Based on the required test and verification content, create a comprehensive ship test requirements list;

[0014] S3. Determine the test content of sub-tests: Break down and refine the test steps for each ship test on the requirements list to obtain the test content of sub-tests;

[0015] S4. Identify objects and scenarios: Identify the objects and scenarios in the experiment based on the content of the sub-experiments;

[0016] S5. Construct a digital experiment maturity model: Calculate the degree of digitization of objects and scenarios, obtain digital experiments with different degrees of digitization by combining objects and scenarios, classify digital experiments with different degrees of digitization into maturity levels, and construct a digital experiment maturity model.

[0017] S6. Design evaluation indicators for the degree of digitalization: Design evaluation indicators for the degree of digitalization of the evaluation object and the degree of digitalization of the evaluation scenario, and calculate their weights as the criteria for determining the degree of digitalization of the object and the scenario.

[0018] S7. Assess the digitalization level of ship trials: Analyze the digitalization maturity of each sub-test based on the digital test maturity model, use a weighted method to obtain the digitalization level of each ship test, and integrate them to obtain the assessment result of the overall digitalization level of the comprehensive tests on the ship comprehensive test requirements list.

[0019] Preferably, digital experiments with different levels of digitization are obtained by combining objects and scenarios, as follows:

[0020] TDL=w A1 ×TDL A1 +w A2 ×TDL A2 +...+w Ai ×TDL Ai

[0021] EDL=wB1 ×EDL B1 +w B2 ×EDL B2 +...+w Bi ×EDL Bi

[0022] DL = TDL + EDL

[0023] Wherein, DL represents the degree of digitalization of the ship test; TDL represents the degree of digitalization of the object; and EDL represents the degree of digitalization of the scenario. Ai EDL Bi These respectively represent the degree of digitization of a specific evaluation indicator within the ship test object and scenario; w Ai w Bi These represent the weights of a specific evaluation index within the ship test object and scenario, respectively.

[0024] Preferably, digital experiments with different levels of digitization are divided into 6 maturity levels to construct a digital experiment maturity model; the 6 maturity levels are Level 0 to Level 5; Level 0 to Level 5 are as follows:

[0025] Level 0 is DL=0;

[0026] Level 1 is 0 < DL ≤ 0.25;

[0027] Level 2 is 0.25 < DL ≤ 0.5;

[0028] Level 3 is defined as 0.5 < DL ≤ 0.75;

[0029] Level 4 is 0.75 < DL < 1;

[0030] Level 5 is DL=1.

[0031] Preferably, the evaluation indicators for the degree of digitization of the evaluation object in S6 include the completeness of the digitized model, the maintainability of the digitized model, the reliability of the digitized model, the depth of application of digitized technology, and the data integration and processing capabilities. The degree of digitization of these evaluation indicators can be taken from 0, 0.25, 0.5, 0.75, and 1.

[0032] Preferably, the evaluation indicators for assessing the degree of digitalization of the scenario in S6 include digital scenario coverage, degree of digital process optimization, data-driven decision-making capability, digital security and compliance, and improvement in digital benefits. The degree of digitalization for these evaluation indicators can be taken from 0, 0.25, 0.5, 0.75, and 1.

[0033] Furthermore, the degree of digitization of the evaluation indicators is as follows:

[0034] The degree of digitization of the evaluation indicators is determined by an expert scoring method, and the degree of digitization of the evaluation indicators is determined by any value among 0, 0.25, 0.5, 0.75, and 1.

[0035] Preferably, the criteria for determining the degree of digitization of objects and scenes in S6 are as follows:

[0036] The weights of the evaluation indicators are calculated using the analytic hierarchy process. By establishing a hierarchical structure, the evaluation indicators included in the object and the scenario are compared in pairs and their weights are calculated.

[0037] Furthermore, the weights of the evaluation indicators are calculated as follows:

[0038] First, based on the weighted evaluation indicators of the two criterion layers and ten indicator layers of the degree of digitalization of ship digital testing, a corresponding weighted evaluation judgment matrix is ​​constructed.

[0039] Secondly, after verifying the consistency of each weight evaluation matrix, a weighted analysis method is used to calculate the weights of each evaluation index for the degree of digitalization of ship testing; specifically as follows:

[0040]

[0041] Among them, w i The weights of the various evaluation indicators representing the degree of digitalization in ship testing; X ij This indicates the degree of importance of evaluation indicator i relative to evaluation indicator j;

[0042] Subsequently, the weighted average method was used to determine the weights of the evaluation indicators of the ten indicator layers relative to the target layer, and an evaluation model for the degree of digitalization of ship sub-tests was established.

[0043] Finally, the weights of each evaluation index of the ship test are obtained based on the digitalization evaluation model, and the digitalization level of the ship test is calculated using these weights.

[0044] Compared with the prior art, the beneficial effects of the present invention are:

[0045] (1) This invention proposes a digital evaluation method for ship testing. Based on the "S" model for digital evaluation of ship testing, the method can consider the testing and verification objectives and contents of different physical objects at different stages, form a list of requirements for comprehensive ship testing and system testing and verification, and design corresponding sub-tests. The digital maturity of each sub-test is analyzed item by item. This achieves optimized resource allocation, improved efficiency, and reduced costs during the overall ship testing process.

[0046] (2) The main purpose of dividing digital experiments into six levels (Level 0-Level 5) in this invention is to clearly reflect the degree of digitization of digital experiments, help researchers select appropriate experimental modes according to actual needs, and serve as an important reference for the practical implementation of digital experiments, optimizing resource allocation, improving efficiency, and reducing costs. Furthermore, this division also reflects the development level of digital experimentation technology, provides direction for technological innovation, and helps improve the credibility and reliability of digital experiments, providing strong support for subsequent decision-making and optimization.

[0047] (3) In the actual digital evaluation process of ship testing in this invention, evaluation indicators are designed for scenarios and objects, and weights are calculated for the indicators included in the scenarios and objects. The indicators for evaluating the digitalization of ship test objects include the integrity of the digital model, the maintainability of the digital model, the reliability of the digital model, the depth of application of digital technology, and the data integration and processing capabilities; the indicators for evaluating the digitalization of ship test scenarios include the coverage of digital scenarios, the degree of optimization of digital processes, the ability to make data-driven decisions, digital security and compliance, and the improvement of digital benefits; and the Analytic Hierarchy Process (AHP) is used to evaluate the indicators. By establishing a hierarchical structure, the various factors included in the ship test objects and scenarios are compared in pairs, and the weights are calculated. Through the analysis of the above multiple indicators, a comprehensive evaluation of the digitalization of objects and scenarios can be obtained, enabling the scoring of objects and scenarios and determining the degree of digitalization of a certain ship test. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of the "compass" system architecture for ship digital testing and verification in this invention;

[0049] Figure 2 This is a schematic diagram of the "S" model for digital evaluation of ship testing in this invention;

[0050] Figure 3 This is a flowchart of the digital evaluation method for ship testing in this invention;

[0051] Figure 4 This is a schematic diagram of the digital experiment testing and verification (digital experiment) maturity model in this invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] Example 1:

[0054] In this invention, the digital testing and verification of ships is based on a "compass" system architecture, such as... Figure 1 As shown. The expression for the ship digital testing system architecture:

[0055] DS&ETV=(PT,DT,PE,DE,ED,SD) (1)

[0056] In the formula, PT represents physical objects, DT represents digital objects, PE represents physical scenes, DE represents digital scenes, ED represents equipment and device resources composed of hardware devices such as sensors, controllers, and computers, and SD represents software and data resources composed of various software, models, data, algorithms, etc.

[0057] In ship testing and verification, the physical objects typically include the following aspects:

[0058] 1) The ship itself: This is the core object of ship testing and verification, including its hull, electromechanical equipment, navigation system, and other components. These physical objects need to withstand various environmental and operational conditions during testing to verify their performance, reliability, and safety.

[0059] 2) Testing equipment: Various equipment and instruments used for ship testing, such as water tanks, wind tunnels, and measuring instruments. These devices are also physical objects, providing the necessary testing environment and measurement methods.

[0060] 3) Test media: In ship testing, various media may be needed to simulate the actual navigation environment, such as water and air. These media are also part of the physical objects.

[0061] In ship testing and verification, digital objects typically include the following aspects:

[0062] 1) Digital Models: Using technologies such as Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE), ships and their various components are digitally modeled. These models can be used for simulation analysis, optimization design, and other aspects, providing important reference data for ship testing and verification.

[0063] 2) Test Data: Test data collected during ship trials using various measuring instruments and equipment. This data is stored and processed digitally. It can be used to analyze ship performance and optimize design schemes.

[0064] 3) Simulation Results: Results obtained by simulating and predicting ships and their operating environment using digital simulation technology. These results are presented in digital form and can help researchers better understand the performance and behavioral characteristics of ships.

[0065] In ship testing and verification, the physical scenarios typically include the following aspects:

[0066] 1) Towing tank test scenario: The towing tank simulates actual navigation conditions to test the resistance of ship models. Researchers can optimize ship design and performance based on the test results to improve speed, fuel efficiency and navigation stability.

[0067] 2) Wavekeeping tank test scenario: The wavekeeping tank simulates wave environments with different wave heights, wavelengths and directions to evaluate the ship's motion performance and stability in waves, ensuring that it can navigate safely in harsh sea conditions.

[0068] 3) Maneuvering tank test scenario: The maneuvering tank simulates the maneuvering situation in actual navigation by setting up various obstacles and waterways, and tests the ship's maneuvering performance such as turning, acceleration and deceleration, so as to provide data support for optimizing the maneuvering system.

[0069] 4) Actual sea area testing scenario: Conduct sea trials and performance tests in actual sea areas to verify the ship's comprehensive performance under actual navigation conditions, including speed, fuel efficiency, maneuverability, seakeeping, etc., to ensure that it meets design and usage requirements.

[0070] 5) Extreme weather and sea state test scenarios: Extreme weather and sea state tests are conducted to test and verify ships under extreme conditions such as typhoons, giant waves, and low temperatures, to ensure the safety and reliability of ships in harsh environments and improve their adaptability and survivability.

[0071] 6) Hydrostatic pressure test scenario: The hydrostatic pressure test tests the strength and stability of the ship structure by placing the ship in still water and gradually increasing the water pressure, ensuring its safety in deep sea or high-pressure environments.

[0072] 7) Collision and grounding test scenarios: Collision and grounding tests simulate collision and grounding situations that a ship may encounter during navigation, testing the ship's structural resistance to impact and damage, and providing important references for ship design and manufacturing.

[0073] 8) Vibration and noise testing scenario: Vibration and noise testing assesses the impact on crew and passengers and whether the ship complies with relevant standards and regulations by measuring the vibration and noise levels generated during navigation.

[0074] 9) Electromagnetic compatibility testing scenario: Electromagnetic compatibility testing verifies the electromagnetic compatibility of various electronic devices and systems on the ship, ensuring that they can work properly and are compatible with each other, and avoiding the impact of electromagnetic interference and electromagnetic pollution on the safety and operation of the ship.

[0075] In ship testing and verification, digital scenarios include the following aspects:

[0076] 1) Digital simulation scenarios: Utilizing advanced digital simulation technologies such as computational fluid dynamics (CFD) and finite element analysis (FEA), the simulation environment provides a high-precision and high-efficiency digital simulation environment for ship design, performance optimization, and fault prediction under complex sea conditions, simulating the motion performance, structural strength, and hydrodynamic characteristics of ships.

[0077] 2) Virtual Reality (VR) Testing Scenarios: By constructing virtual reality environments, the visual, auditory, and other sensory experiences of ships during real navigation are simulated, providing an immersive virtual testing platform for crew training, emergency drills, and ship design evaluation, thereby improving safety and efficiency.

[0078] 3) Big Data Analytics Scenarios: Collect and analyze massive amounts of data generated by ships during actual navigation, including navigation trajectory, fuel consumption, equipment status, etc., and use big data technology and machine learning algorithms to perform data mining and prediction to provide data support for ship performance optimization, fault diagnosis and preventive maintenance.

[0079] 4) Internet of Things (IoT) monitoring scenario: Through IoT technology, the operating status and parameters of various systems and equipment on the ship are monitored in real time, including engines, navigation systems, structural health monitoring, etc., to realize remote monitoring and fault early warning of the ship, and improve the safety and reliability of the ship.

[0080] 5) Digital Twin Scenarios: Construct a digital twin model of the ship, synchronize and interact with the actual operating status of the ship in real time, and conduct virtual debugging, optimization and fault diagnosis of the ship through the digital model to improve the efficiency and accuracy of ship design and maintenance.

[0081] In ship testing and verification, the specific equipment and device resources are as follows:

[0082] Equipment and device resources are crucial support for digital testing. Within the scope of ship digital testing, these primarily include hardware devices such as sensors, controllers, computers, servers, network equipment, visualization devices, and human-computer interaction devices, providing data acquisition, display, transmission, processing, and storage capabilities. In digital testing, these devices not only participate in the physical testing and verification process but also simultaneously provide services for the digital testing process and the interaction between digital and physical spaces.

[0083] In ship testing and verification, software and data resources specifically include:

[0084] Software and data resources are the foundation for realizing digital experimentation and intelligence. Within the scope of digital experimentation, software and data resources include not only various software applications such as modeling software, simulation software, communication software, and basic library management software, but also various models, data, algorithms, knowledge, standards and protocols, as well as system functions and services that have not yet been packaged into software, and mechanisms, processes and methods for digital representation.

[0085] The digital evaluation method for ship testing based on the "compass" system architecture in this invention is based on the "S" model for digital evaluation of ship testing. The "S" model for digital evaluation of ship testing includes eight parts: analyzing needs, constructing a list, refining content, identifying objects and scenarios, constructing a maturity model, evaluating indicators, and evaluating the degree of digitalization of ship testing.

[0086] See Figure 2 , Figure 3 The digital evaluation method for ship trials includes the following steps:

[0087] Step 1: Analyze requirements;

[0088] Different physical objects have different testing and verification objectives and contents at different stages of their entire life cycle. To comprehensively and rapidly achieve testing and verification of physical objects, it is necessary to analyze and clarify the testing content, testing characteristics, and testing objects. Based on this, the technical approaches to achieving digital testing are identified.

[0089] Step 2: Create a list;

[0090] Through various methods such as reviewing materials, consulting experts, and conducting discussions, we conducted in-depth research on ship comprehensive experiments and tests, analyzed and sorted out the ship test requirements list, and categorized the test requirements list into three categories: safety, green, and intelligence.

[0091] Step 3: Refine the details;

[0092] A comprehensive list of requirements for ship testing and system verification was developed. The test requirements of each requirement were then detailed, and the test steps for each ship test were broken down. The test content, test system, equipment under test, and test methods were thoroughly analyzed to obtain the test content of the required sub-tests.

[0093] Step 4: Identify the object and scene;

[0094] Identify the test subjects and test scenarios based on the test content.

[0095] Step 5: Construct a maturity model;

[0096] (1) The degree of digitization of computing objects and scenarios;

[0097] From traditional physical testing and verification based on physical objects to the ideal and most mature fully digital testing and verification, there are digital testing modes with different degrees of digitization, which are obtained by coupling the degree of digitization of the object and the scenario.

[0098] The degree of digitization of objects and scenes is calculated as follows:

[0099] TDL=w A1 ×TDL A1 + w A2 ×TDL A2 +...+ w Ai ×TDL Ai (1)

[0100] EDL=w B1 ×EDL B1 + w B2 ×EDL B2 + ...+ w Bi ×EDL Bi (2)

[0101] After assessing the degree of digitization of the object and the degree of digitization of the scenario respectively, the digital testing maturity (Digitization level, DL) of the ship test is calculated:

[0102] DL = TDL + EDL (3)

[0103] Wherein, DL represents the degree of digitalization of the ship test; TDL represents the degree of digitalization of the object; and EDL represents the degree of digitalization of the scenario. Ai EDL Bi These respectively represent the degree of digitization of a specific evaluation indicator within the ship test object and scenario; w Ai w Bi These represent the weights of a certain evaluation index in the ship test object and scenario, respectively; in this invention, the range of i is 1≤i≤5.

[0104] (2) Establish a digital maturity model for ship testing;

[0105] The above-mentioned combinations of objects and scenarios with varying degrees of digitization yield different digital experimentation models. These models are then categorized into six maturity levels to construct a digital experimentation maturity model. The six maturity levels in the digital experimentation maturity model are divided into Level 0 to Level 5, with the specific value ranges shown below:

[0106] in:

[0107] Level 0 is DL=0;

[0108] Level 1 is 0 < DL ≤ 0.25;

[0109] Level 2 is 0.25 < DL ≤ 0.5;

[0110] Level 3 is defined as 0.5 < DL ≤ 0.75;

[0111] Level 4 is 0.75 < DL < 1;

[0112] Level 5 is DL=1.

[0113] Therefore, the digital maturity of ship testing is divided into six maturity levels. The higher the degree of digitalization, the closer it is to the ideal goal of digital transformation in ship testing; however, the greater the demand for "digital capabilities" comprised of digital models, data, knowledge, methods, and experience. Figure 4 The model is represented in the middle.

[0114] Step 5: Indicator Evaluation;

[0115] In the actual digital evaluation process of ship trials, scoring the objects and scenarios requires weighting the indicators contained in the scenarios and objects. This step proposes five indicators for evaluating the digitization of the objects and five indicators for evaluating the digitization of the scenarios, and uses the analytic hierarchy process (AHP) to calculate the weights, thereby determining the degree of digitization (TDL) of the objects and the degree of digitization (EDL) of the scenarios.

[0116] (1) Design indicators for the digitalization of evaluation objects and evaluation scenarios;

[0117] 1) Indicators for evaluating the digitization of ship test objects;

[0118] ① Digital Model Completeness: This examines the completeness of the electronic model built during the ship's design and construction process, including the modeling of various aspects such as structure. Completeness can be quantitatively assessed based on the required man-hour equivalent of the data, information, and drawings covered by the electronic model.

[0119] ② Maintainability of digital models: Evaluate the maintainability of electronic models during the ship design and construction process, including the ease and efficiency of modification and improvement. Maintainability is crucial for ships, which are designed and built simultaneously.

[0120] ③ Digital Model Reliability: Verify the reliability of the electronic model to ensure its accuracy and applicability in the shipbuilding process. Reliability verification includes model verification and validation (V&V) and is a critical step in the design process.

[0121] ④ Depth of Digital Technology Application: This examines the depth of digital technology application in ship testing and verification, such as the extent of CAE (Computer-Aided Engineering) application in the shipbuilding process. Depth can be assessed from aspects such as the scope and effectiveness of technology application.

[0122] ⑤ Data integration and processing capabilities: Evaluate the ship's capabilities in data acquisition, processing, and integration for testing and verification purposes. This includes the accuracy, timeliness, and completeness of the data, as well as its application value in the ship's design, construction, testing, and verification processes.

[0123] 2) Indicators for evaluating the digitization of ship testing scenarios:

[0124] ① Digital Scenarios Coverage: This examines the proportion and scope of digital technology application in ship testing and verification scenarios. Coverage can be assessed from aspects such as the number and type of scenarios.

[0125] ② Degree of digital process optimization: The degree of digitalization of business processes in ship testing and verification scenarios is evaluated, including the level of automation, standardization and intelligence of the processes. The degree of optimization can be assessed from aspects such as process efficiency, accuracy and consistency.

[0126] ③ Data-driven decision-making capability: This examines whether the ship's testing and verification scenarios possess the capability to make data-driven decisions. This includes capabilities in data collection, analysis, interpretation, and decision-making.

[0127] ④ Digital Security and Compliance: Assess whether data security and compliance are prioritized during the digitalization process of ship testing and verification scenarios. This includes capabilities in areas such as data encryption, privacy protection, data backup and recovery, and compliance review.

[0128] ⑤ Enhanced Benefits of Digitalization: Examine the benefits brought about by the digitalization of ship testing and verification scenarios. This includes benefits such as improved testing efficiency, reduced testing costs, and enhanced verification accuracy.

[0129] (2) The degree of digitalization of evaluation indicators;

[0130] This invention evaluates the digitization of objects using the following indicators: completeness of the digitized model, maintainability of the digitized model, reliability of the digitized model, depth of application of digitized technology, and data integration and processing capabilities; and evaluates the digitization of scenarios using the following indicators: coverage of digitized scenarios, degree of optimization of digitized processes, data-driven decision-making capabilities, digitized security and compliance, and improvement of digitized benefits. Based on the current state of digitization development in ship testing and the development trends of digitized testing, the degree of digitization of the evaluation indicators is set to 0, 0.25, 0.5, 0.75, and 1, with specific values ​​determined by expert scoring. That is:

[0131] DL=w A1 ×TDL A1 +w A2 ×TDL A2 +w A3 ×TDL A3 +w A4 ×TDL A4 +w A5 ×TDL A5

[0132] +w B1 ×EDL B1 +w B2 ×EDL B2 +w B3 ×EDL B3 +w B4 ×EDL B4 +w B5 ×EDL B5 (4)

[0133] Among them, TDL Ai EDL Bi It can take any value from 0, 0.25, 0.5, 0.75, and 1.

[0134] (3) Weights of evaluation indicators;

[0135] The Analytic Hierarchy Process (AHP) was used to calculate the weights of the evaluation indicators. By establishing a hierarchical structure, the various factors included in the objects and scenarios of the ship test were compared in pairs and their weights were calculated.

[0136] ① Basic identification system for the degree of digitalization in ship testing;

[0137] A basic identification system for the digitalization level of ship testing was established, as shown in Table 1.

[0138] Table 1. Basic Identification System for the Digitalization Level of Ship Testing

[0139]

[0140] ②Establish a weighted evaluation judgment matrix;

[0141] Based on the content of Table 1, the weighted evaluation indicators of two criterion layers and 10 indicator layers of the digitalization level of a certain ship test were obtained by using the expert scoring method, as shown in Tables 2 to 4.

[0142] Table 2 Weighting Indicators for the Digitalization Level of a Certain Ship Test

[0143] Evaluation indicators Digitalization level of ship test objects Digitalization level of ship testing scenarios Digitalization level of ship test objects 1 2 Digitalization level of ship testing scenarios 1 / 2 1

[0144] Table 3. Weighted Evaluation Indicators for the Digitalization Level (A) of a Certain Ship Test Object

[0145]

[0146] Table 4. Weighted Evaluation Indicators for the Digitalization Level (B) of a Certain Ship Test Scenario

[0147]

[0148] Based on the weight evaluation indicators of the criteria layer and indicator layer in the digitalization level of a certain ship test shown in Tables 2 to 4, the corresponding weight evaluation judgment matrix is ​​constructed as shown in formulas (5) to (7).

[0149]

[0150]

[0151] In formula (5), matrix X is a weight evaluation judgment matrix composed of the weight evaluation indicators of the criteria layer in the degree of digitalization of a ship test, and matrix A in formula (6) and matrix B in formula (7) are weight evaluation judgment matrices composed of the weight evaluation indicators of each indicator layer.

[0152] ③ Weighted analysis;

[0153] After verifying the consistency of each weight evaluation judgment matrix, the weighted analysis method is required to calculate the weights of each evaluation index of the degree of digitalization of ship testing. The calculation formula is shown in (8).

[0154]

[0155] Among them, w i The weights of the various evaluation indicators representing the degree of digitalization in ship testing; X ij The importance of evaluation index i relative to evaluation index j is represented by the data in the weight evaluation judgment matrix shown in formulas (5) to (7).

[0156] According to the weight evaluation judgment matrix shown in formula (5), using formula (8), the weight of the digitization degree (A) of a certain ship test object is calculated to be 0.6667, and the weight of the digitization degree (B) of a certain ship test scenario is 0.3333.

[0157] Based on the weight evaluation judgment matrix shown in formulas (6) and (7), the weight of each evaluation index in the index layer is calculated using formula (8), and the weight of the 10 evaluation indexes in the index layer relative to the target layer is determined by the weighted average method. A digitalization evaluation model for a certain ship sub-test is established, as shown in Table 5.

[0158] Table 5. Evaluation Model of Digitalization Level of a Ship Sub-Test

[0159]

[0160]

[0161] ④ Calculation of the degree of digitalization in ship testing;

[0162] After establishing a digitalization evaluation model for ship testing using the analytic hierarchy process, the weights of each evaluation index for ship testing are obtained. The digitalization level of ship testing is calculated using these weights, and the calculation formula is shown in (4).

[0163] DL=w A1 ×TDL A1 +w A2 ×TDL A2 +w A3 ×TDL A3 +w A4 ×TDL A4 +w A5 ×TDL A5

[0164] +w B1 ×EDL B1 +w B2 ×EDL B2 +w B3 ×EDL B3 +w B4 ×EDL B4 +w B5 ×EDL B5

[0165] Wherein, DL represents the degree of digitalization in ship testing; TDL Ai EDL Bi These represent the degree of digitization of a certain evaluation indicator in the ship test object and scenario, determined by expert scoring, and can take values ​​from 0, 0.25, 0.5, 0.75, and 1; w Ai w Bi The values ​​represent the weights of a certain evaluation index in the ship test object and scenario, as shown in Table 5.

[0166] Step 7: Assess the level of digitalization in ship testing;

[0167] The digital maturity of each sub-test is analyzed item by item, and a weighted method is used to obtain the assessment result of the digital maturity of an individual test. After obtaining the digital maturity of each ship sub-test, the above steps are repeated, and the analytic hierarchy process is used again to obtain the assessment result of the digital maturity of the entire ship test.

[0168] Example 2:

[0169] Based on the digital evaluation method for ship trials in Example 1, the methanol / ethanol engine in a ship is used as the physical object to analyze and design tests for the engine. After conducting a requirements analysis and constructing a test list for the methanol / ethanol engine, the required test content is obtained. Based on this test content, multiple sub-tests are designed, and the objects and scenarios of the sub-tests are identified, as shown in Table 6.

[0170] Table 6 Experimental Analysis of Physical Objects

[0171]

[0172] As can be seen from Table 6, the present invention can design different test and verification objectives and contents for different physical objects at different stages of their entire life cycle, and evaluate the degree of digitization of different sub-tests. In this way, the required resources for different physical objects to select appropriate test modes according to actual needs can be summarized, thereby optimizing resource allocation, improving efficiency and reducing costs during the overall ship test.

[0173] Now, taking the "Fire Source Detection System Test" in Table 6 as an example, we will analyze the degree of digitalization of the ship test. Using an expert scoring method, we obtained the weighted evaluation indicators for the two criterion layers and ten indicator layers of the degree of digitalization of this ship test, as shown in Tables 7 to 9.

[0174] Table 7. Weighting Indicators for the Digitalization Level of the "Fire Source Detection System Test"

[0175] Evaluation indicators Fire detection system Smoke and temperature changes in the early stages of a fire Fire detection system 1 1 Smoke and temperature changes in the early stages of a fire 1 1

[0176] Table 8. Weighting Indicators for the Digitalization Level of "Fire Detection System"

[0177]

[0178] Table 9. Weighting Indicators for the Digitalization Level of "Smoke and Temperature Changes in the Early Stages of a Fire"

[0179]

[0180] Based on the weight evaluation indicators of the criteria layer and indicator layer in the "Fire Source Detection System Test" digitization level shown in Tables 7 to 9, the corresponding weight evaluation judgment matrix is ​​constructed as shown in formulas (9) to (11).

[0181]

[0182] Based on the above data, an evaluation model for the digitalization level of the "fire source detection system test" was established, as shown in Table 10.

[0183] Table 10 Evaluation Model of Digitalization Level in the "Fire Source Detection System Test"

[0184]

[0185] Using the expert scoring method, let the TDL in Table 10 be... A1 =0.75, TDL A2 =1, TDL A3 =1, TDL A4 =0.5, TDL A5 =0.5; EDL B1 =1, EDL B2 =0.5, EDL B3 =0.75, EDL B4 =0.75, EDL B5 =0.25.

[0186] Using the above data and formula (4), the digitalization level of the "fire source detection system test" experiment can be calculated as DL = 0.786425, that is, the digitalization level of the ship experiment is Level 4.

[0187] Similarly, the digitalization level of the "Fire Spread Control Test," "Explosion Protection Test," and "Emergency Response System Test" tests in Table 6, "Engine Fire and Explosion Prevention," can be analyzed. Then, a weighted method is used to obtain the evaluation result of the digitalization level of the "Engine Fire and Explosion Prevention" test. After obtaining the digitalization maturity of each ship sub-test, the above steps are repeated, and the analytic hierarchy process (AHP) is used again to obtain the weighted evaluation result of the overall digitalization level of the ship tests.

[0188] The above description is only for the purpose of helping to understand the method and core essence of the present invention, but the scope of protection of the present invention is not limited thereto. For those skilled in the art, any equivalent substitutions or modifications made to the technical solution and inventive concept disclosed in the present invention within the scope of the technology disclosed in the present invention should be covered within the scope of protection of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A digital evaluation method for ship testing, characterized in that, Includes the following steps: S1. Requirement Analysis: Analyze the test and verification requirements for different physical objects in a ship at different stages of its life cycle; S2. Create a list: Based on the required test and verification content, create a comprehensive ship test requirements list; S3. Determine the test content of sub-tests: Break down and refine the test steps for each ship test on the requirements list to obtain the test content of sub-tests; S4. Identify objects and scenarios: Identify the objects and scenarios in the experiment based on the content of the sub-experiments; S5. Construct a digital experiment maturity model: Calculate the degree of digitization of objects and scenarios, obtain digital experiments with different degrees of digitization by combining objects and scenarios, classify digital experiments with different degrees of digitization into maturity levels, and construct a digital experiment maturity model. Digital experiments with varying degrees of digitization were obtained by combining objects and scenarios, as detailed below: TDL=w A1 ×TDL A1 + w A2 ×TDL A2 +...+ w Ai ×TDL Ai EDL=w B1 ×EDL B1 + w B2 ×EDL B2 + ...+ w Bi ×EDL Bi DL = TDL + EDL in, DL Indicates the degree of digitalization in ship testing; TDL Indicates the degree of digitization of an object. EDL Indicates the degree of digitalization of the scene; TDL Ai , EDL Bi These respectively represent the degree of digitization of a certain evaluation indicator in the ship test object and scenario; w Ai , w Bi These represent the weights of a specific evaluation index within the ship test object and scenario, respectively. S6. Design evaluation indicators for the degree of digitalization: Design evaluation indicators for the degree of digitalization of the evaluation object and the degree of digitalization of the evaluation scenario, and calculate their weights as the criteria for determining the degree of digitalization of the object and the scenario. The criteria for determining the degree of digitization of objects and scenarios are as follows: The weights of the evaluation indicators are calculated using the analytic hierarchy process. By establishing a hierarchical structure, the evaluation indicators included in the object and the scenario are compared in pairs and their weights are calculated. The weights of the evaluation indicators are calculated as follows: First, based on the weighted evaluation indicators of the two criterion layers and ten indicator layers of the degree of digitalization of ship digital testing, a corresponding weighted evaluation judgment matrix is ​​constructed. Secondly, after verifying the consistency of each weight evaluation matrix, a weighted analysis method is used to calculate the weights of each evaluation index for the degree of digitalization of ship testing; specifically as follows: in, w i The weights of each evaluation indicator representing the degree of digitalization in ship testing; X ij Indicators i relative to evaluation indicators j The degree of importance; Subsequently, the weighted average method was used to determine the weights of the evaluation indicators of the ten indicator layers relative to the target layer, and an evaluation model for the digitalization level of ship sub-tests was established. Finally, the weights of each evaluation index of the ship test are obtained based on the digitalization evaluation model, and the digitalization level of the ship test is calculated using these weights. S7. Assess the digitalization level of ship trials: Analyze the digitalization maturity of each sub-test based on the digital test maturity model, use a weighted method to obtain the digitalization level of each ship test, and integrate them to obtain the assessment result of the overall digitalization level of the comprehensive tests on the ship comprehensive test requirements list.

2. The digital evaluation method for ship testing according to claim 1, characterized in that, Digital experiments with varying degrees of digitization are divided into six maturity levels, forming a digital experiment maturity model. The six maturity levels are Level 0 through Level 5. Levels 0 through 5 are detailed below: Level 0 is DL=0; Level 1 is 0 < DL ≤ 0.25; Level 2 is 0.25 < DL ≤ 0.5; Level 3 is defined as 0.5 < DL ≤ 0.75; Level 4 is 0.75 < DL < 1; Level 5 is DL=1.

3. The digital evaluation method for ship testing according to claim 1, characterized in that, The evaluation indicators for the degree of digitization of the evaluation object in S6 include the integrity of the digitization model, the maintainability of the digitization model, the reliability of the digitization model, the depth of application of digitization technology, and the data integration and processing capabilities.

4. The digital evaluation method for ship testing according to claim 3, characterized in that, The evaluation indicators for assessing the degree of digitalization in the S6 include digital scenario coverage, degree of digital process optimization, data-driven decision-making capability, digital security and compliance, and improvement in digital benefits.

5. A digital evaluation method for ship testing according to claim 1 or 4, characterized in that, The degree of digitization of the evaluation indicators is as follows: The degree of digitization of the evaluation indicators is determined by an expert scoring method, and the degree of digitization of the evaluation indicators is determined by any value among 0, 0.25, 0.5, 0.75, and 1.

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