Digital evaluation method for ship test

Abstract

The invention discloses a digital evaluation method for a ship test, and relates to the technical field of ship digital tests. The method comprises the following steps of: analyzing test verification contents required by different physical objects in a ship in different stages of a life cycle of the physical objects; forming a ship comprehensive test demand list based on the required test verification content; performing test step disassembly and refinement on each ship test on the demand list to obtain test contents of sub-tests; identifying an object and a scene in the test based on the test content of the sub-test; constructing a digital test maturity model; designing indexes of the evaluation object digitization degree and the evaluation scene digitization degree, and calculating weights; and analyzing the digitization maturity of each sub-test, obtaining the digitization degree of each ship test by adopting a weighting method, and integrating to obtain an evaluation result of the digitization degree of the overall comprehensive test on the ship comprehensive test demand list. According to the invention, resource allocation is optimized during the whole ship test, the efficiency is improved, and the cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of ship test, and particularly relates to a digital evaluation method for ship test. Background Art

[0002] At present, in order to realize the digital transformation of ship test and promote the demonstration planning, R & D design, production manufacturing, operation and maintenance service and iterative optimization of the overall ship, a ship digital test system is proposed. The ship digital test system includes physical objects, digital objects, physical scenarios and digital scenarios.

[0003] Physical objects are the main bodies of test and verification that objectively exist in the physical world. Physical objects usually have the ability to interact with people and scenarios, can be modified, configured, operated and controlled by relevant personnel for test and verification, and can respond to environmental changes by interacting with test and verification scenarios, and finally present the real-time operation status and performance characteristics under different working conditions, and can collect their operation data through corresponding sensors.

[0004] Digital objects are the main bodies of test and verification that exist in the digital world based on models and data. Digital objects are digital representations of test and verification objects and can partially or wholly replace physical objects for test and verification.

[0005] Physical scenarios are the real environments for cooperating with the main bodies of test and verification to conduct test and verification. In ship test and verification, physical scenarios refer to the actual environments and conditions used for actual testing and verifying the performance, structure, safety and seaworthiness of ships.

[0006] Digital scenarios are the virtual environments for cooperating with the main bodies of test and verification to conduct test and verification. The digital scenarios in ship test and verification refer to the virtual or digital environments for a series of test and verification activities such as performance evaluation, design verification, fault diagnosis and optimization improvement of ships by using modern information technology and digital means.

[0007] However, regarding how to evaluate the digitalization degree of different tests in the overall ship, existing research has not proposed clear evaluation criteria. Since there are many test items involved in the overall ship, various resources cannot be reasonably allocated, and ship test cannot be efficiently promoted.

[0008] In view of this, the present invention proposes a digital evaluation method for ship test. By conducting requirement analysis on different physical objects of the ship and constructing corresponding requirement lists, identifying the test objects and test scenarios in the required test content, designing indicators for evaluating the digitalization of test objects and test scenarios, and based on the digitalization degrees of the identified test objects and test scenarios, and then based on the constructed maturity model, the digital maturity of multiple sub-tests of physical objects can be directly evaluated. Summary of the Invention

[0009] The object of the present invention is to provide a digital evaluation method for ship tests, so as to solve the problems in the prior art such as how to evaluate the digital degree of tests as mentioned in the above background art.

[0010] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0011] The present invention proposes a digital evaluation method for ship tests, including the following steps:

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

[0013] S2. Build a list: Form a comprehensive ship test requirement list based on the required test verification content;

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

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

[0016] S5. Build a digital test maturity model: Calculate the digital degree of objects and scenarios, combine objects and scenarios to obtain digital tests with different digital degrees, divide the maturity levels of digital tests with different digital degrees, and build a digital test maturity model;

[0017] S6. Design evaluation indicators for digital degree: Design evaluation indicators for evaluating the digital degree of objects and scenarios and calculate the weights, which are used as the judgment criteria for determining the digital degree of objects and scenarios;

[0018] S7. Evaluate the digital degree of ship tests: Analyze the digital maturity of each sub-test one by one based on the digital test maturity model, use the weighted method to obtain the digital degree of each ship test, and integrate to obtain the evaluation result of the digital degree of the overall comprehensive test on the comprehensive ship test requirement list.

[0019] Preferably, digital tests with different digital degrees are obtained by combining objects and scenarios, specifically 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] where DL represents the digitalization level of ship trials; TDL represents the digitalization level of the object, and EDL represents the digitalization level of the scenario; TDL Ai and EDL Bi represent the digitalization levels of a certain evaluation index in the ship trial object and scenario respectively; w Ai and w Bi represent the weights of a certain evaluation index in the ship trial object and scenario respectively.

[0024] Preferably, digital trials with different digitalization levels are divided into 6 maturity levels to construct a digital trial maturity model; the 6 maturity levels are Level 0 - Level 5; Level 0 - Level 5 are specifically 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 0.5 < DL ≤ 0.75;

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

[0030] Level 5 is DL = 1.

[0031] Preferably, the evaluation indexes for the digitalization level of the evaluation object in S6 include digital model integrity, digital model maintainability, digital model reliability, depth of digital technology application, and data integration and processing ability. The digitalization levels of these evaluation indexes can take values from 0, 0.25, 0.5, 0.75, 1.

[0032] Preferably, the evaluation indexes for the digitalization level of the evaluation scenario in S6 include digital scenario coverage rate, digital process optimization degree, data-driven decision-making ability, digital security and compliance, and digital benefit improvement. The digitalization levels of these evaluation indexes can take values from 0, 0.25, 0.5, 0.75, 1.

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

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

[0035] Preferably, the determination criteria for the digitization levels of the objects and scenarios in S6 are specifically as follows:

[0036] The analytic hierarchy process is used to calculate the weights of the evaluation indicators. By establishing a hierarchical structure, pairwise comparisons are made for each evaluation indicator included in the objects and scenarios, and the weights are calculated.

[0037] Furthermore, the calculation of the weights of the evaluation indicators is specifically as follows:

[0038] First, according to the weight evaluation indicators of the two criterion levels and ten index levels of the digitization level of the ship digital test, a corresponding weight evaluation judgment matrix is constructed;

[0039] Secondly, after performing a consistency test on each weight evaluation judgment matrix, the weighted analysis method is used to calculate the weights of the evaluation indicators of the digitization level of the ship test; specifically as follows:

[0040]

[0041] Among them, w i represents the weights of the evaluation indicators of the digitization level of the ship test; X ij represents the importance degree of the evaluation indicator i relative to the evaluation indicator j;

[0042] Subsequently, the weighted average method is used to determine the weights of the evaluation indicators of the ten index levels relative to the target level, and a digitization level evaluation model for the ship sub-test is established;

[0043] Finally, based on the digitization level evaluation model, the weights of the evaluation indicators of the ship test are obtained, and the digitization 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) In the present invention, a digital evaluation method for ship tests is proposed. Based on the digital evaluation "S" model for ship tests, digital evaluation can be carried out, which can consider the test verification objectives and contents of different physical objects at different stages, form a list of ship comprehensive experiment and system test verification requirements, design corresponding sub-tests, and analyze the digital maturity of each sub-test item by item. It can optimize resource allocation, improve efficiency, and reduce costs during the overall ship test.

[0046] (2) In the present invention, the main function of dividing digital tests into 6 levels (Level 0 - Level 5) is to clearly reflect the digitalization degree of digital tests, help researchers select appropriate test modes according to actual needs, and at the same time serve as an important reference for the practical implementation of digital tests, optimize resource allocation, improve efficiency and reduce costs. In addition, this division also reflects the development level of digital test technology, provides a direction for technological innovation, and helps to enhance the credibility and reliability of digital tests, providing strong support for subsequent decision-making and optimization.

[0047] (3) In the actual digital evaluation process of ship tests in the present invention, evaluation indicators are designed for scenarios and objects, and the weights of the indicators included in the scenarios and objects are calculated. The indicators for evaluating the digitalization of ship test objects include the integrity of digital models, the maintainability of digital models, the reliability of digital models, the depth of digital technology application, and the data integration and processing capabilities; the indicators for evaluating the digitalization of ship test scenarios include the digital scene coverage rate, the degree of digital process optimization, the data-driven decision-making ability, digital security and compliance, and the improvement of digital benefits; and the Analytic Hierarchy Process (AHP) is used for the evaluation of indicators. By establishing a hierarchical structure, pairwise comparisons are made for each factor included in the objects and scenarios of ship tests, and the weights are calculated. Through the analysis of the above multiple indicators, a comprehensive digital evaluation of the objects and scenarios can be obtained, scoring the objects and scenarios, and determining the digitalization degree of a certain ship test. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the "compass" architecture for ship digital test verification in the present invention;

[0049] Figure 2 It is a schematic diagram of the "S" model for digital evaluation of ship tests in the present invention;

[0050] Figure 3 It is a flowchart of the digital evaluation method for ship tests in the present invention;

[0051] Figure 4 It is a schematic diagram of the maturity model of digital test verification (digital test) in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0053] Embodiment 1:

[0054] In the present invention, the ship digital test and verification is based on the "compass" architecture, as Figure 1 shown. The ship digital test architecture expression:

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

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

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

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

[0059] 2) Test equipment: Various equipment and instruments used for ship testing, such as water tanks, wind tunnels, measuring instruments, etc. These equipment are also physical objects, which provide the necessary test environment and measurement means.

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

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

[0062] 1) Digital models: Using technologies such as computer-aided design (CAD) and computer-aided engineering (CAE), the ship and its various components are digitally modeled. These models can be used for simulation analysis, optimization design, etc., providing important reference bases for ship testing and verification.

[0063] 2) Test data: In ship testing, the test data collected through various measuring instruments and equipment. These data are stored and processed in digital form and can be used for analyzing ship performance, optimizing design schemes, etc.

[0064] 3) Simulation results: The results obtained by simulating and predicting the ship and its 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 the ship.

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

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

[0067] 2) Seakeeping tank test scenario: By simulating wave environments with different wave heights, wavelengths, and wave directions, the seakeeping tank evaluates the motion performance and stability of the ship in waves to ensure its safe navigation in rough sea conditions.

[0068] 3) Maneuverability tank test scenario: By setting up various obstacles and waterways, the maneuverability tank simulates the maneuvering situations in actual navigation and tests the ship's maneuvering performance such as steering, acceleration, and deceleration, providing data support for optimizing the maneuvering system.

[0069] 4) Actual sea area test scenario: Ship trials and performance tests are carried out in the actual sea area to verify the comprehensive performance of the ship under actual navigation conditions, including speed, fuel efficiency, maneuverability, seakeeping, etc., to ensure it meets the design and usage requirements.

[0070] 5) Extreme weather and sea condition test scenario: Through ship testing and verification under extreme conditions such as typhoons, huge waves, and low temperatures, the extreme weather and sea condition test ensures the safety and reliability of the ship in harsh environments and improves the ship's adaptability and survivability.

[0071] 6) Hydrostatic pressure test scenario: By placing the ship in still water and gradually increasing the water pressure, the hydrostatic pressure test measures the strength and stability of the ship's structure to ensure its safety in deep sea or high-pressure environments.

[0072] 7) Collision and grounding test scenario: By simulating possible collision and grounding situations during ship navigation, the collision and grounding test measures the ship's structure's impact and damage resistance capabilities, providing important references for ship design and manufacturing.

[0073] 8) Vibration and noise test scenario: By measuring the vibration and noise levels generated during ship navigation, the vibration and noise test evaluates their impact on crew and passengers and whether they meet relevant standards and regulations.

[0074] 9) Electromagnetic compatibility test scenario: By verifying the electromagnetic compatibility of various electronic devices and systems on the ship, the electromagnetic compatibility test ensures that they can operate normally and be compatible with each other, avoiding the impact of electromagnetic interference and electromagnetic pollution on ship safety and operation.

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

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

[0077] 2) Virtual reality (VR) test scenarios: By constructing a virtual reality environment, simulate the visual, auditory and other sensory experiences of ships during real voyages, providing an immersive virtual test platform for crew training, emergency drills, and ship design evaluation, improving safety and efficiency.

[0078] 3) Big data analysis scenarios: Collect and analyze the massive data generated by ships during actual voyages, including navigation trajectories, fuel consumption, equipment status, etc., and use big data technologies and machine learning algorithms for data mining and prediction, providing data support for ship performance optimization, fault diagnosis, and preventive maintenance.

[0079] 4) Internet of Things (IoT) monitoring scenarios: Through IoT technologies, real-time monitor the operating status and parameters of various ship systems and equipment, including engines, navigation systems, structural health monitoring, etc., realizing remote monitoring and fault warning of ships, improving the safety and reliability of ships.

[0080] 5) Digital twin scenarios: Construct a digital twin model of the ship, synchronize and interact the actual operating status of the ship with the digital model in real time, and conduct virtual commissioning, optimization, and fault troubleshooting on the ship through the digital model, improving the efficiency and accuracy of ship design and maintenance.

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

[0082] Equipment and device resources are an important support for digital tests. In the scope of ship digital tests, they mainly include hardware devices such as sensors, controllers, computers, servers, network devices, visualization devices, and human-computer interaction devices, providing data acquisition, display, transmission, processing, and storage capabilities for digital tests. In digital tests, they not only need to participate in the physical test verification process, but also provide services for the digital test process and the interaction process between the digital space and the physical space.

[0083] In ship tests and verifications, the specific software and data resources are as follows:

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

[0085] In the present invention, the digital evaluation method for ship experiments based on the "compass" architecture conducts digital evaluation based on the digital evaluation "S" model for ship experiments. The digital evaluation "S" model for ship experiments includes 8 parts: analyzing requirements, constructing a list, refining content, identifying objects and scenarios, constructing a maturity model, index evaluation, and evaluating the digital degree of ship experiments.

[0086] Refer to Figure 2 、 Figure 3 , the digital evaluation method for ship experiments includes the following steps:

[0087] Step 1, analyze requirements;

[0088] Different physical objects have different test and verification objectives and contents at different stages of their entire life cycle. To comprehensively and quickly achieve the test and verification of physical object experiments, analyze and clarify the test content, test characteristics, test objects, etc. On this basis, clarify the technical approach to realizing digital experiments.

[0089] Step 2, construct a list;

[0090] Through various methods such as consulting materials, expert consultation, and negotiation and discussion, conduct in-depth research on ship comprehensive experiments and tests, analyze and sort out the list of ship experiment requirements, and classify the list of experiment requirements according to the three categories of safety, green, and intelligence.

[0091] Step 3, refine content;

[0092] Form a list of ship comprehensive experiment and system test verification requirements, refine each test requirement element of the requirement list one by one, disassemble the test steps for each ship experiment, and conduct a detailed sorting around the technical field, test content, test system, equipment under test, and test method to obtain the clear test content of the required sub-experiments.

[0093] Step 4, identify objects and scenarios;

[0094] Identify the test objects and test scenarios in the test according to the test content.

[0095] Step 5, construct a maturity model;

[0096] (1), calculate the digital degree of objects and scenarios;

[0097] From the traditional physical-based full physical test verification to the ideal and most mature full digital test verification, there are digital test modes with different degrees of digitization, which are obtained by coupling the degree of digitization of objects and scenarios.

[0098] The degree of digitization of objects and scenarios 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 separately evaluating and obtaining the degree of digitization of objects and the degree of digitization of scenarios, calculate the digital test maturity (Digitization level, DL) of ship tests:

[0102] DL = TDL + EDL (3)

[0103] Among them, DL represents the degree of digitization of ship tests; TDL represents the degree of digitization of objects, and EDL represents the degree of digitization of scenarios; TDL Ai 、EDL Bi respectively represent the degree of digitization of a certain evaluation index in the ship test object and scenario; w Ai 、w Bi respectively represent the weight of a certain evaluation index in the ship test object and scenario; in the present invention, the range of i is 1 ≤ i ≤ 5.

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

[0105] The above combinations of objects and scenarios with different degrees of digitization result in different digital test modes, and different digital test modes are divided into 6 maturity levels to construct a digital test maturity model. The 6 maturity levels in the digital test maturity model are divided into Level 0 - Level 5, and the specific value ranges are as follows:

[0106] Among them:

[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 0.5 < DL ≤ 0.75;

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

[0112] Level 5 is DL = 1.

[0113] Thus, the digital maturity of ship trials is divided into 6 maturity levels. The higher the digital level, the closer it is to the ideal goal of the digital transformation of ship trials. At the same time, the higher the demand for the "digital power" composed of digital models, data, knowledge, methods, and experience, etc.; as Figure 4 represented by the model in the middle.

[0114] Step Five: Index Evaluation;

[0115] In the actual digital evaluation process of ship trials, in order to score the objects and scenarios, it is necessary to calculate the weights of the indicators included in the scenarios and objects. This step proposes 5 indicators for evaluating the digitalization of the evaluation object and 5 indicators for evaluating the digitalization of the evaluation scenario, and uses the analytic hierarchy process to calculate the weights to determine the digitalization degree (TDL) of the object and the digitalization degree (EDL) of the scenario.

[0116] (1). Design indicators for evaluating the digitalization of the evaluation object and the evaluation scenario;

[0117] 1) Indicators for evaluating the digitalization of ship trial objects;

[0118] ① Integrity of digital model: Examine the integrity of the electronic models built during the ship design and construction processes, including the modeling of various aspects such as structure. Integrity can be quantitatively evaluated from the man-hour equivalent of the data, information, and drawings covered by the electronic model.

[0119] ② Maintainability of digital model: Evaluate the maintainability of the electronic model during the ship design and construction processes, including the convenience and efficiency of modification and improvement. Maintainability is crucial for products like ships that are designed and built simultaneously.

[0120] ③ Reliability of digital model: Verify the reliability of the electronic model to ensure its accuracy and applicability during the ship construction process. Reliability verification includes links such as model verification and validation (V&V), which is a key link in the design process.

[0121] ④Depth of digital technology application: Examine the depth of digital technology application in the objects of ship testing and verification, such as the application degree of CAE (Computer Aided Engineering) in the shipbuilding process. The depth can be evaluated from aspects such as the scope and effect of technology application.

[0122] ⑤Data integration and processing capabilities: Evaluate the capabilities of the objects of ship testing and verification in aspects such as data collection, processing, and integration. This includes the accuracy, real-time nature, integrity of data, and the application value of data in the processes of ship design, construction, testing, and verification.

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

[0124] ①Digital scene coverage rate: Examine the application proportion and coverage scope of digital technology in the ship testing and verification scenarios. The coverage rate can be evaluated from aspects such as the number and type of scenarios.

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

[0126] ③Data-driven decision-making capabilities: Examine whether the ship testing and verification scenarios have the ability to make decisions based on data. This includes the capabilities in aspects such as data collection, analysis, interpretation, and decision-making.

[0127] ④Digital security and compliance: Evaluate whether the ship testing and verification scenarios pay attention to data security and compliance during the digitalization process. This includes the capabilities in aspects such as data encryption, privacy protection, data backup and recovery, and compliance review.

[0128] ⑤Improvement of digital benefits: Examine the improvement of benefits brought about by the digitalization of the ship testing and verification scenarios. This includes the benefits in aspects such as improving testing efficiency, reducing testing costs, and enhancing verification accuracy.

[0129] (2) Degree of digitalization of evaluation indicators;

[0130] The evaluation indicators for object digitalization in the present invention: integrity of digital model, maintainability of digital model, reliability of digital model, depth of digital technology application, data integration and processing capabilities; and the evaluation indicators for scene digitalization: digital scene coverage rate, degree of digital process optimization, data-driven decision-making capabilities, digital security and compliance, improvement of digital benefits; according to the current digital development status of ship testing and the digital testing development law, the status of the digitalization degree of the evaluation indicators is set to 0, 0.25, 0.5, 0.75, 1, and the specific values are determined by the expert scoring method. 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] wherein, TDL Ai , EDL Bi takes any value among 0, 0.25, 0.5, 0.75, 1.

[0134] (3) Weights of evaluation indicators;

[0135] The analytic hierarchy process (AHP) is used to calculate the weights of evaluation indicators. By establishing a hierarchical structure, pairwise comparisons are made for each factor included in the objects and scenarios of ship tests, and the weights are calculated.

[0136] ① Basic identification system for the digitalization level of ship tests;

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

[0138] Table 1 Basic identification system for the digitalization level of ship tests

[0139]

[0140] ② Establish a weight evaluation judgment matrix;

[0141] According to the content of Table 1, the weight evaluation indicators of two criterion levels and 10 index levels for the digitalization level of a certain ship test are obtained by using the expert scoring method, as shown in Tables 2 to 4.

[0142] Table 2 Weight evaluation indicators for the digitalization level of a certain ship test

[0143] Evaluation index Digitalization degree of ship test object Digitalization degree of ship test scenario Digitalization degree of ship test object 1 2 Digitalization degree of ship test scenario 1 / 2 1

[0144] Table 3 Weight evaluation indicators for the digitalization level of the object of a certain ship test (A)

[0145]

[0146] Table 4 Weight Evaluation Index of Digitalization Degree (B) of a Certain Ship Test Scenario

[0147]

[0148] According to the weight evaluation indexes of the criterion layer and index layer in the digitalization degree of a certain ship test shown in Table 2 to Table 4, construct the corresponding weight evaluation judgment matrixes as shown in Formulas (5) to (7).

[0149]

[0150]

[0151] Among them, in Formula (5), matrix X is the weight evaluation judgment matrix composed of the weight evaluation indexes of the criterion layer in the digitalization degree of a certain ship test, and matrix A in Formula (6) and matrix B in Formula (7) are the weight evaluation judgment matrixes composed of the weight evaluation indexes of each index layer.

[0152] ③ Weighted analysis;

[0153] After conducting the consistency test on each weight evaluation judgment matrix, it is necessary to use the weighted analysis method to calculate the weights of the evaluation indexes of the digitalization degree of the ship test. The calculation formula is as shown in (8).

[0154]

[0155] Among them, w i represents the weights of the evaluation indexes of the digitalization degree of the ship test; X ij represents the importance degree of evaluation index i relative to evaluation index j, that is, the data in the weight evaluation judgment matrixes 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 digitalization degree (A) of a certain ship test object can be calculated to be 0.6667, and the weight of the digitalization degree (B) of a certain ship test scenario is 0.3333.

[0157] According to the weight evaluation judgment matrixes shown in Formulas (6) and (7), using Formula (8), calculate the weights of each evaluation index of the index layer, and use the weighted average method to determine the weights of the 10 evaluation indexes of the index layer relative to the target layer, and establish the digitalization degree evaluation model of a certain ship sub-test as shown in Table 5.

[0158] Table 5 Digitalization Degree Evaluation Model of a Certain Ship Sub-Test

[0159]

[0160]

[0161] ④ Calculation of the digitalization level of ship tests;

[0162] After establishing an evaluation model for the digitalization level of ship tests through the analytic hierarchy process, the weights of each evaluation index of the ship tests are obtained. Using these weights, the digitalization level of the ship tests is calculated, 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] Among them, DL represents the digitalization level of ship tests; TDL Ai , EDL Bi respectively represent the digitalization levels of certain evaluation indexes of the ship test object and scenario, which are determined by expert scoring and can take values from 0, 0.25, 0.5, 0.75, 1; w Ai , w Bi respectively represent the weights of certain evaluation indexes of the ship test object and scenario, as shown in Table 5 specifically.

[0166] Step 7: Evaluate the digitalization level of ship tests;

[0167] Analyze the digital maturity of each sub-test item by item, and use the weighted method to obtain the evaluation result of the digitalization level of a single test. After obtaining the digital maturity of each ship sub-test, repeat the above steps, and use the analytic hierarchy process again to obtain the evaluation result of the digitalization level of the entire ship test by weighting.

[0168] Example 2:

[0169] Based on the digital evaluation method for ship tests in Embodiment 1, taking the methanol / ethanol engine in the ship as the physical object, analyze, design, and test the engine. Conduct a requirements analysis on the methanol / ethanol engine, construct a list to obtain the required test content, and correspondingly design multiple sub-tests based on the test content, identify the objects and scenarios of the sub-tests, as shown in Table 6:

[0170] Table 6 Test Analysis of Physical Objects

[0171]

[0172] As can be seen from Table 6, the present invention can design different test verification objectives and contents at different stages in the entire life cycle according to different physical objects, and evaluate the digital level of different sub-tests, so as to summarize the resources required for different physical objects to select appropriate test modes according to actual needs, optimize resource allocation, improve efficiency, and reduce costs during the overall ship test.

[0173] Now, for the "Fire Source Detection System Test" in Table 6, analyze the digital level of its ship test by way of example. The weight evaluation indicators of two criterion levels and 10 index levels for the digital level of this ship test are obtained by using the expert scoring method, as shown in Tables 7 to 9.

[0174] Table 7 Weight Evaluation Indicators for the Digital Level of the "Fire Source Detection System Test"

[0175] Evaluation index Fire detection system Smoke and temperature changes in the initial stage of fire Fire detection system 1 1 Smoke and temperature changes in the initial stage of fire 1 1

[0176] Table 8 Weight Evaluation Indicators for the Digital Level of the "Fire Detection System"

[0177]

[0178] Table 9 Weight Evaluation Indicators for the Digital Level of "Smoke and Temperature Changes in the Initial Stage of Fire"

[0179]

[0180] According to the weight evaluation indicators of the criterion level and index level in the digital level of the "Fire Source Detection System Test" shown in Tables 7 to 9, construct the corresponding weight evaluation judgment matrix, as shown in Formulas (9) to (11).

[0181]

[0182] Based on the above data, establish an evaluation model for the digital level of the "Fire Source Detection System Test", as shown in Table 10.

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

[0184]

[0185] Using the expert scoring method, let TDL in Table 10 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 degree of the "Fire Source Detection System Test" experiment can be calculated as DL = 0.786425, that is, the digitalization degree of this ship experiment is Level 4.

[0187] Similarly, the digitalization degrees of the "Fire Spread Control Test", "Explosion Protection Test", and "Emergency Response System Test" in Table 6 "Engine Fire and Explosion Prevention" can be analyzed. Then, using the weighting method, the evaluation result of the digitalization degree of the "Engine Fire and Explosion Prevention" experiment is obtained. After obtaining the digital maturity of each ship sub-experiment, repeat the above steps, and again use the analytic hierarchy process to weight and obtain the evaluation result of the digitalization degree of the entire ship experiment.

[0188] The above is only used to help understand the method of the present invention and its core essence, but the protection scope of the present invention is not limited thereto. For those of ordinary skill in the art in the technical field of the present invention, any equivalent replacement or change made within the technical scope disclosed by the present invention according to the technical solution and inventive concept of the present invention should be covered within the protection scope of the present invention. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A digital evaluation method for ship testing, characterized in that: The steps include: S1. Analyze requirements: Analyze the test verification content required for different physical objects in the ship at different stages of its life cycle; S2. Build a list: Based on the required test verification content, form a comprehensive ship test requirements list; S3. Determine the content of the sub-test: break down and refine the test steps of each ship test on the requirements list to obtain the content of the sub-test; S4, Identify objects and scenes: Identify objects and scenes in the experiment based on the experimental content of the sub-experiments; S5. Construct a digital experiment maturity model: Calculate the digitization degree of objects and scenarios, obtain digital experiments with different digitization degrees by combining objects and scenarios, divide the digital experiments with different digitization degrees into maturity levels, and construct a digital experiment maturity model; S6. Designing evaluation indicators for evaluating the degree of digitization: Designing evaluation indicators for evaluating the degree of digitization of objects and evaluating the degree of digitization of scenes and calculating weights as criteria for determining the degree of digitization of objects and scenes; S7. Evaluate the degree of digitization of ship tests: Analyze the digital maturity of each sub-test one by one based on the digital test maturity model, use a weighted method to obtain the degree of digitization of each ship test, and integrate the evaluation results of the degree of digitization of the overall comprehensive test on the ship comprehensive test requirements list.

2. A digital evaluation method for ship testing according to claim 1, characterized in that: In S5, digital experiments with different digitization degrees are obtained by combining objects and scenes, as follows: 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 Among them, DL represents the digitalization degree of ship test; TDL represents the digitalization degree of object; EDL represents the digitalization degree of scene; TDL Ai 、EDL Bi They represent the digitization degree of a certain evaluation index in the ship test object and scene respectively; w Ai 、w Bi They represent the weight of a certain evaluation index in the ship test object and scene respectively.

3. A digital evaluation method for ship testing according to claim 2, characterized in that: Digital experiments with different degrees of digitization are divided into 6 maturity levels to construct a digital experiment maturity model; the 6 maturity levels are Level 0-Level 5; Level 0-Level 5 are as follows: Level 0 is DL=0; Level 1: 0<DL≤0.25; Level 2: 0.25<DL≤0.5; Level 3: 0.5<DL≤0.75; Level 4: 0.75<DL<1; Level 5 is DL=1.

4. A 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 digital model, the maintainability of the digital model, the reliability of the digital model, the depth of application of digital technology, and data integration and processing capabilities.

5. A digital evaluation method for ship testing according to claim 4, characterized in that: The evaluation indicators for evaluating the degree of scene digitization in S6 include digital scene coverage, degree of digital process optimization, data-driven decision-making capabilities, digital security and compliance, and digital benefit improvement.

6. A digital evaluation method for ship testing according to claim 2 or 5, characterized in that: The digitalization degree of the evaluation indicators is as follows: The expert scoring method is used to determine the degree of digitization of the evaluation index, and the degree of digitization of the evaluation index can be determined by any value among 0, 0.25, 0.5, 0.75, and 1.

7. A digital evaluation method for ship testing according to claim 6, characterized in that: The criteria for determining the degree of digitization of objects and scenes in S6 are as follows: The analytic hierarchy process is used to calculate the weights of the evaluation indicators. By establishing a hierarchical structure, the evaluation indicators contained in the objects and scenes are compared in pairs and the weights are calculated.

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