Net cage patrol device construction method based on AD-TRIZ theory

Abstract

The invention discloses a net cage patrol device construction method based on an AD-TRIZ theory, and belongs to the technical field of aquaculture, and the method comprises the following steps: S1, constructing a net cage patrol device user demand analytic hierarchy model, and determining a net cage patrol device design demand; s2, constructing a net cage patrol device user demand judgment matrix; s3, constructing an AD-TRIZ model to design parameter analysis; and S4, constructing the net cage patrol device according to the design elements obtained in S3. According to the net cage patrol device construction method based on the AD-TRIZ theory, the performance of the net cage patrol device in the aspects of function integration, reliability and economical efficiency is remarkably improved, and a new method and a reference framework are provided for optimization design of net cage culture equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of aquaculture, and in particular to a method for constructing a cage patrol device based on AD-TRIZ theory. Background Art

[0002] Cage aquaculture, as one of the main forms of modern aquaculture, plays an important role in meeting the growing demand for aquatic products. However, with the expansion of aquaculture scale, cage patrol and management face many challenges, such as cage damage, disease spread, water quality deterioration, and illegal intrusion, which place higher demands on the technical capabilities of patrol equipment. Traditional cage patrol usually relies on manually operated buoys, diving equipment or small boats. Although these methods are low-cost, they are less efficient and pose certain safety risks in bad weather or remote waters. For example, many coastal farms still rely on manual diving to detect the integrity of cages or observe fish activities. This method is time-consuming and labor-intensive and cannot achieve real-time monitoring.

[0003] Overseas, the use of underwater remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs) in patrol missions is steadily increasing. Domestically, research into cage aquaculture patrol products started relatively late, but has developed rapidly in recent years. With the rise of the marine economy, my country has gradually established its own technological framework in the field of intelligent aquaculture.

[0004] Overall, while existing cage patrol systems meet aquaculture management needs to a certain extent, they still face numerous challenges, including equipment reliability in complex environments, data analysis accuracy, and cost control. Through both imported and independent R&D efforts, China is expected to gradually narrow the gap with international technology. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for constructing a cage patrol device based on AD-TRIZ theory, which significantly improves the performance of the cage patrol device in terms of functional integration, reliability and economy, and provides a new method and reference framework for the optimal design of cage aquaculture equipment.

[0006] To achieve the above object, the present invention provides a method for constructing a cage patrol device based on AD-TRIZ theory, comprising the following steps:

[0007] S1. Construct a user demand hierarchy analysis model for the cage patrol device and determine the design requirements for the cage patrol device;

[0008] S2. Constructing a user demand judgment matrix for the cage patrol device;

[0009] S3, construct AD-TRIZ model design parameter analysis;

[0010] S4. Construct a cage patrol device based on the design elements obtained in S3.

[0011] Preferably, the KJ method is used in S1 to analyze user needs, and the user needs are integrated and classified to obtain four criterion layers of functional requirements, human-machine experience, safety protection and styling requirements, and a user needs hierarchical analysis model of the cage patrol device is constructed to determine the design requirements of the cage patrol device.

[0012] Preferably, S2 specifically includes the following steps:

[0013] S2.1. Score the elements at different levels according to the quantized values of the judgment scale. Let the judgment matrix A be:

[0014] A=(a ij ) n×n (1);

[0015] Among them, a ij is the comparison of the importance of the i-th element and the j-th element, and n is the order of the judgment matrix;

[0016] S2.2, use the square root method in the analytic hierarchy process (AHP) to calculate the weights of each indicator in the judgment matrix;

[0017] Taking the square root of the product of the scores of each row of the judgment matrix, we can get:

[0018]

[0019] in, is the weight vector;

[0020] Will Normalization processing obtains the eigenvector ω i :

[0021]

[0022] Calculate the maximum eigenvalue of the judgment matrix:

[0023]

[0024] Among them, λ m is the maximum eigenvalue of the judgment matrix A;

[0025] S2.3, perform consistency check on the judgment matrix A;

[0026]

[0027] Among them, CI is the consistency test index, n is the order of the judgment matrix; RI is the average random consistency index. When CR is less than 0.1, the judgment matrix is reasonable and meets the consistency requirements, otherwise it needs to be readjusted.

[0028] Preferably, an AD-TRIZ model is constructed in S3. According to the user demand analysis by AHP, key demand elements with high weights are selected to define as functional groups, and functional domains are established. Then, the functional domains are mapped to solve the physical domains of the design parameters, and an initial design matrix is constructed. The key demands obtained by AHP are defined as functional requirements of the axiomatic design AD. Specifically, the following steps are included:

[0029] S3.1. Determine the functional requirements set of the cage patrol device based on AD design parameters;

[0030] S3.2. Establishing a design parameter set DP based on conflict resolution n .

[0031] Preferably, the functional requirements set in S3.1 is as follows:

[0032]

[0033] Among them, FR n For functional requirements.

[0034] Therefore, the present invention adopts the above-mentioned method for constructing a cage patrol device based on AD-TRIZ theory, which significantly improves the performance of the cage patrol device in terms of functional integration, reliability and economy, and provides a new method and reference framework for the optimal design of cage aquaculture equipment.

[0035] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 The invention discloses a user demand hierarchy analysis model of a cage patrol device and a method for constructing a cage patrol device based on AD-TRIZ theory. DETAILED DESCRIPTION

[0037] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0038] Unless otherwise defined, technical or scientific terms used in the present invention shall have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs.

[0039] Example 1

[0040] The present invention provides a method for constructing a cage patrol device based on AD-TRIZ theory, comprising the following steps:

[0041] S1. Construct a user demand hierarchy analysis model for the cage patrol device and determine the design requirements for the cage patrol device;

[0042] like Figure 1 As shown in the figure, the KJ method is used to analyze user needs, and the user needs are integrated and classified to obtain four criterion layers: functional requirements, human-machine experience, safety protection, and styling requirements. A user needs hierarchy analysis model for the cage patrol device is constructed to determine the design requirements of the cage patrol device.

[0043] Using the KJ method to analyze and integrate relevant needs, we obtained 20 highly condensed original user needs. To screen key needs, we developed a questionnaire using a seven-point Likert scale and distributed it to relevant users and professionals with industrial design backgrounds. A total of 124 questionnaires were distributed, of which 120 were valid, a recovery rate of 96.8%. The Cronbach's α coefficient was 0.849, indicating a high degree of credibility for the questionnaire data. The scores for the original needs items were calculated and summarized, as shown in Table 1.

[0044] Table 1 User requirements for cage patrol devices

[0045]

[0046] S2. Constructing a user demand judgment matrix for the cage patrol device;

[0047] The specific steps include:

[0048] S2.1. Score the elements at different levels according to the quantized values of the judgment scale. Let the judgment matrix A be:

[0049] A=(a ij ) n×n (1);

[0050] Among them, a ij is the comparison of the importance of the i-th element and the j-th element, and n is the order of the judgment matrix;

[0051] S2.2, use the square root method in the analytic hierarchy process (AHP) to calculate the weights of each indicator in the judgment matrix;

[0052] Taking the square root of the product of the scores of each row of the judgment matrix, we can get:

[0053]

[0054] in, is the weight vector;

[0055] Will Normalization processing obtains the eigenvector ω i :

[0056]

[0057] Calculate the maximum eigenvalue of the judgment matrix:

[0058]

[0059] Among them, λ m is the maximum eigenvalue of the judgment matrix A;

[0060] S2.3, perform consistency check on the judgment matrix A;

[0061]

[0062] Among them, CI is the consistency test index, n is the order of the judgment matrix; RI is the average random consistency index. When CR is less than 0.1, the judgment matrix is reasonable and meets the consistency requirements, otherwise it needs to be readjusted.

[0063] The weights and consistency results of indicators at all levels are calculated according to formulas (1)-(6), as shown in Table 2.

[0064] Table 2 Demand weights for cage patrol devices

[0065]

[0066] The comprehensive weight of the indicator layer in Table 2 is obtained by multiplying the user demand weight by the corresponding sub-demand weight. According to the comprehensive weight, the indicators of the indicator layer are sorted, and the sub-levels with higher demand are: real-time monitoring C2, strong flexibility C8, water quality sampling C3, device protection C1, and reasonable material process C 14 Therefore, the device design will mainly start from these demand indicators.

[0067] S3, construct AD-TRIZ model design parameter analysis;

[0068] Construct an AD-TRIZ model. Based on the AHP user demand analysis, select the key demand elements with high weights and define them as functional groups. Then, establish the functional domain. Then, map the functional domain to solve the physical domain of the design parameters and construct the initial design matrix. The key requirements obtained by AHP are defined as the functional requirements of the axiomatic design AD. The specific steps include:

[0069] S3.1. Determine the functional requirements set of the cage patrol device based on AD design parameters;

[0070] User needs C. n Mapping to functional requirements FR n , as shown in Table 3.

[0071] Table 3 User Requirements C n Mapping to functional requirements FRn

[0072] <![CDATA[User requirement C n > <![CDATA[Functional Requirement (FR n )]]> <![CDATA[Real-time monitoring of C2]]> <![CDATA[Timely online monitoring (FR1)]]> <![CDATA[Strong flexibility C8, small and light in volume C6]]> <![CDATA[Flexible movement (FR2)]]> <![CDATA[Water quality sampling C3]]> <![CDATA[Water quality sampling (FR3)]]> <![CDATA[Device protection C1]]> <![CDATA[Device protection (FR4)]]> <![CDATA[Structurally stable C9]]> <![CDATA[Safe and stable (FR5)]]> <![CDATA[Lighting C4]]> <![CDATA[Underwater lighting (FR6)]]>

[0073] The set of functional requirements is as follows:

[0074]

[0075] Among them, FR n For functional requirements.

[0076] S3.2. Establishing a design parameter set DP based on conflict resolution n .

[0077] (1) Solving the design parameter DP1. Online monitoring is a high-level functional requirement in the device. To achieve the "online monitoring FR" function, the device needs to be able to perform real-time inspections in the water, that is, to provide the cage device with a system with real-time camera transmission.

[0078] (2) Solving the design parameter DP2. In order to meet the functional requirement of "flexible movement FR" and improve the adaptability of the device to the environment during underwater operation, multiple driving mechanisms can be added to the device to improve the flexibility of the device. The higher the required flexibility, the more difficult the operation required for the corresponding product. At this time, a conflict 1 "flexibility and ease of operation" arises. Therefore, according to the technical contradiction principle of TRIZ, it can be summarized as: improving parameter No. 35 adaptability and deteriorating parameter No. 13 object stability parameter. By consulting the TRIZ contradiction matrix table, three feasible solutions are initially obtained: 35 geometric / physical state conversion, 35 elasticity or film and 14 sphericalization / curvature. Combined with the actual situation of the device's use environment, the invention principle "14 sphericalization / curvature" is selected to solve the design conflict, that is, by optimizing the propeller structure of the device to improve the operation method.

[0079] (3) Solving the design parameter DP3. The water quality sampling function can extract the aquaculture water quality in the cage, which is conducive to the circular development of cage aquaculture. However, the device needs to have a good user experience in water quality sampling, and needs to meet the function of automatically extracting water samples and be as easy to operate as possible. At this time, "water quality sampling and the convenience of sampling use" conflict. Therefore, according to the technical contradiction principle of TRIZ, it can be summarized as: improving parameter NO.38, the degree of automation, and deteriorating parameter NO.33, the convenience of use. By consulting the TRIZ contradiction matrix table, four feasible solutions are initially obtained: 1 division, 12 equipotency, 34 discarded and recycled parts, and 3 local characteristics. Combined with the actual situation of the device use environment, the "invention principle 1 division" is selected to solve the design conflict, that is, by dividing the sampling function and the device body into different parts.

[0080] (4) Solve the design parameter DP4. Conflict 3 "device protection FR" can ensure that the device maintains stable working ability during use, and can also protect the normal operation of the cage and aquaculture. It also requires the equipment to be able to operate stably. Therefore, according to the technical contradiction principle of TRIZ, it can be summarized as: improving the harmful factors acting on the object NO.30 and deteriorating the stability of the object NO.13. By consulting the TRIZ contradiction matrix table, four solutions are obtained: 35 geometric / physical state conversion, 24 intermediaries, 30 elastic membranes or films, and 18 vibrations. Combined with the actual situation of the device's use environment, the invention principle "30 elastic membranes or films" is selected to solve the design conflict, that is, by optimizing the propeller structure to ensure the stable operation of the device.

[0081] As shown in Table 4 and Table 5:

[0082] Table 4 TRIZ theory contradictions and conflicts and corresponding invention principles

[0083]

[0084] Table 5 Methods for solving contradictions and conflicts in TRIZ theory

[0085]

[0086] S4. Construct a cage patrol device based on the design elements obtained in S3.

[0087] The design scheme can realize inspection and protection in the cage culture area. The product is equipped with four propeller drive devices, which can maintain flexible movement and stable posture in the water. The product can also take water quality samples at different depths, and can comprehensively detect water quality problems in the fish farming area to ensure that the fish grow in a suitable underwater environment. In addition, the device is also equipped with a camera and lighting function, which can obtain underwater information more accurately. The overall design of the product is simple and modern, with smooth lines and a compact body, which can ensure flexibility and convenience in use and bring a good user experience.

[0088] Therefore, the present invention adopts the above-mentioned method for constructing a cage patrol device based on AD-TRIZ theory, which significantly improves the performance of the cage patrol device in terms of functional integration, reliability and economy, and provides a new method and reference framework for the optimal design of cage aquaculture equipment.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solutions of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for constructing a cage patrol device based on AD-TRIZ theory, characterized by: The following steps are involved: S1. Construct a user demand hierarchy analysis model for the cage patrol device and determine the design requirements for the cage patrol device; S2. Constructing a user demand judgment matrix for the cage patrol device; S3, construct AD-TRIZ model design parameter analysis; S4. Construct a cage patrol device based on the design elements obtained in S3.

2. The method for constructing a cage patrol device based on AD-TRIZ theory according to claim 1, characterized in that: In S1, the KJ method is used to analyze user needs, and user needs are integrated and classified to obtain four major criteria layers: functional requirements, human-machine experience, safety protection, and styling requirements. A user needs hierarchical analysis model for the cage patrol device is constructed to determine the design requirements for the cage patrol device.

3. The method for constructing a cage patrol device based on AD-TRIZ theory according to claim 1, characterized in that: S2 specifically includes the following steps: S2.

1. Score the elements at different levels according to the quantized values of the judgment scale. Let the judgment matrix A be: A=(a ij ) n×n (1); Among them, a ij is the comparison of the importance of the i-th element and the j-th element, and n is the order of the judgment matrix; S2.2, use the square root method in the analytic hierarchy process (AHP) to calculate the weights of each indicator in the judgment matrix; Taking the square root of the product of the scores of each row of the judgment matrix, we can get: in, is the weight vector; Will Normalization processing obtains the eigenvector ω i : Calculate the maximum eigenvalue of the judgment matrix: Among them, λ m is the maximum eigenvalue of the judgment matrix A; S2.3, perform consistency check on the judgment matrix A; Among them, CI is the consistency test index, n is the order of the judgment matrix; RI is the average random consistency index. When CR is less than 0.1, the judgment matrix is reasonable and meets the consistency requirements, otherwise it needs to be readjusted.

4. The method for constructing a cage patrol device based on AD-TRIZ theory according to claim 1, characterized in that: In S3, the AD-TRIZ model is constructed. Based on the user demand analysis of AHP, the key demand elements with high weights are selected and defined as functional groups. Functional domains are then established. The physical domains of the design parameters are then mapped and solved. The initial design matrix is constructed. The key demands obtained by AHP are defined as the functional requirements of the axiomatic design AD. The specific steps include: S3.

1. Determine the functional requirements set of the cage patrol device based on AD design parameters; S3.

2. Establish a design parameter set DP based on conflict resolution.

5. The method for constructing a cage patrol device based on AD-TRIZ theory according to claim 4, characterized in that: The functional requirements set in S3.1 are as follows: Among them, FR n For functional requirements.

Images