An intelligent management system for the construction quality analysis of a grab dredger

Abstract

The present invention discloses an intelligent management system for analyzing the construction quality of a grab dredger, belonging to the technical field of construction supervision; by supervising and processing data in the longitudinal dimension and the transverse dimension for each excavation implemented after the grab dredger starts construction, digital processing data corresponding to different dimensions are obtained, and the single construction state corresponding thereto is integrally evaluated according to the local construction supervision data obtained by supervising and processing each construction of the grab dredger, and the subsequent construction of the grab dredger is adaptively and specifically optimized and managed according to the integral evaluation result, and the implemented optimized management is further analyzed, and the subsequent construction design of different optimization types is specifically optimized and updated according to the analysis result; the present invention is used to solve the technical problem that the autonomous supervision analysis and management effects in different aspects during the construction of the grab dredger in the existing solutions are not good.

Description

Technical Field

[0001] The present invention relates to the technical field of construction supervision, and particularly relates to an intelligent management system for analyzing the construction quality of a grab dredger. Background Art

[0002] The construction quality of a grab dredger refers to whether the work results achieved during underwater excavation operations using a grab dredger meet the design requirements and technical specification standards.

[0003] When implementing the existing construction quality analysis and management plan for a grab dredger, it is not possible to conduct supervision, processing, and analysis in different aspects for each construction of the grab dredger, determine the single-construction status corresponding to each construction, and implement targeted local optimization adjustments. There are problems with ineffective independent supervision, analysis, and management in different aspects during the construction of the grab dredger. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent management system for analyzing the construction quality of a grab dredger, which is used to solve the technical problem of ineffective independent supervision, analysis, and management in different aspects during the construction of the grab dredger in the existing solution.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An intelligent management system for analyzing the construction quality of a grab dredger includes a multi-dimensional supervision and processing module for grab dredger construction, which is used to conduct supervision and data processing in the longitudinal dimension and the horizontal dimension for each excavation implemented after the grab dredger starts construction, and obtain local construction supervision data corresponding to each construction.

[0007] A multi-dimensional evaluation and management module for grab dredger construction is used to integrally evaluate the single-construction status corresponding to it based on the local construction supervision data obtained from the supervision and processing of each construction of the grab dredger, adaptively conduct targeted optimization management for the subsequent construction of the grab dredger according to the integrated evaluation results, conduct extended analysis on the implemented optimization management, and conduct targeted optimization updates on the subsequent construction designs of different optimization types according to the analysis results.

[0008] Preferably, when conducting supervision and data processing in the longitudinal dimension for each excavation implemented by the grab dredger, monitor and statistically record the depth, grab closing force, and excavation volume of each excavation implemented by the grab dredger, conduct quantization processing on the monitored and statistically recorded depth, grab closing force, and excavation volume, and obtain the longitudinal construction effect value ZX corresponding to each excavation implemented by the grab dredger through the formula where a, b, and c are different proportionality coefficients and are all greater than 0; ZS and ZL are respectively the depth and grab closing force of the excavation implemented by the grab dredger; ZS0 and ZL0 are respectively the standard depth and standard grab closing force when the grab dredger implements excavation; and η is the excavation supervision coefficient.

[0009] Preferably, the steps for obtaining the excavation supervision coefficient η include:

[0010] Perform data analysis on the excavation volume of each excavation by the grab dredger through the excavation identification model, and output the excavation supervision identification WB corresponding to the excavation behavior;

[0011] The expression of the excavation identification model is ; where WL is the excavation volume of each excavation by the grab dredger; WL1 and WL2 are respectively the standard minimum excavation volume and the standard maximum excavation volume corresponding to each excavation by the grab dredger;

[0012] If the excavation supervision identification is 0, set the excavation supervision coefficient η to 0;

[0013] If the excavation supervision identification is 1, compare and judge WL with WL1 and WL2 respectively;

[0014] If WL < WL1, set the excavation supervision coefficient η to WL1 - WL;

[0015] If WL > WL2, set the excavation supervision coefficient η to WL - WL2.

[0016] Preferably, perform data analysis on the longitudinal construction effect value to determine the longitudinal construction effect corresponding to the excavation by the grab dredger;

[0017] If ZX = 0, prompt that the longitudinal construction effect corresponding to the excavation by the grab dredger is normal, and set the longitudinal construction supervision identification of the corresponding excavation behavior to 0;

[0018] Otherwise, prompt that the longitudinal construction effect corresponding to the excavation by the grab dredger is abnormal, and set the longitudinal construction supervision identification of the corresponding excavation behavior to 1.

[0019] Preferably, when supervising and processing data in the horizontal dimension for each excavation by the grab dredger, monitor and obtain the elevations of each preset measurement point in the excavation area by the grab dredger and mark them as Xi, where i is different preset measurement points, i = 1, 2, 3,..., n; n is a positive integer representing the total number of all measurement points;

[0020] Calculate and obtain the average value of the elevations of all preset measurement points through the formula ; ;

[0021] And calculate and obtain the horizontal construction influence value HY corresponding to each excavation by the grab dredger through the formula ; where A is the horizontal construction influence standard value.

[0022] Preferably, perform data analysis on the horizontal construction influence value to determine the horizontal construction influence corresponding to the excavation by the grab dredger;

[0023] If HY ≤ 1, it is prompted that the corresponding horizontal construction affected by the excavation of the grab dredger is normal, and the horizontal construction supervision mark of the corresponding excavation behavior is set to 0;

[0024] Otherwise, it is prompted that the corresponding horizontal construction affected by the excavation of the grab dredger is abnormal, and the horizontal construction supervision mark of the corresponding excavation behavior is set to 1;

[0025] Sort and combine the longitudinal construction supervision mark and the horizontal construction supervision mark obtained from the corresponding supervision and processing of each excavation of the grab dredger to obtain the local construction supervision data corresponding to each construction and upload it to the supervision platform in real time.

[0026] Preferably, traverse and analyze the local construction supervision data obtained from the supervision and processing of each construction of the grab dredger. If the values in the local construction supervision data are all 0, it is prompted that the corresponding single construction status is normal, and the subsequent construction plan of the grab dredger is maintained;

[0027] If there are non-zero values in the local construction supervision data, count the total number of values of 1 and analyze.

[0028] Preferably, if the total number of values of 1 is 1, it is prompted that the corresponding single construction status is slightly abnormal, and the first construction optimization management plan is implemented;

[0029] If the total number of values of 1 is 2, it is prompted that the corresponding single construction status is severely abnormal, and the second construction optimization management plan is implemented.

[0030] Preferably, monitor and count the construction optimization items and their corresponding optimization types corresponding to the first construction optimization management plan or the second construction optimization management plan, identify and count the total number of occurrences of the external optimization types and the total number of occurrences of the internal optimization types corresponding to the construction optimization items, and through the formula Calculate the optimization influence value YYk corresponding to different optimization types; in the formula, k is 1, 2, which are the external optimization type and the internal optimization type respectively; Nk is N1, N2, which are the total number of occurrences of the external optimization type alone and the total number of occurrences of the internal optimization type alone respectively; N3 is the total number of occurrences of the external optimization type and the internal optimization type at the same time; α is the type influence factor, and it is a real number greater than 1; Bk is B1, B2, which are the optimization influence standard values corresponding to the external optimization type and the internal optimization type respectively.

[0031] Preferably, if there is no YYk ≥ 1, it is prompted that the optimization management of both the external optimization type and the internal optimization type is normal;

[0032] If there exists YYk ≥ 1, it indicates an optimization management exception corresponding to the external optimization type and / or internal optimization type, and the subsequent construction design corresponding to its corresponding optimization type is optimized and updated specifically.

[0033] Compared with the existing solutions, the beneficial effects achieved by the present invention are as follows:

[0034] Through the supervision and data processing of each excavation implemented after the grab dredger starts construction in the longitudinal dimension and the transverse dimension, the present invention obtains the digital processing data corresponding to different dimensions. It can not only realize the multi-dimensional supervision and data processing of each construction of the grab dredger from different dimensions, but also provide reliable multi-dimensional supervision data support for the analysis and management of the single construction state corresponding to each subsequent construction, improving the self-supervision and analysis effects in different aspects during the construction of the grab dredger.

[0035] Based on the local construction supervision data obtained from the supervision and processing of each construction of the grab dredger, the present invention integrates and evaluates the corresponding single construction state, adaptively optimizes and manages the subsequent construction of the grab dredger according to the integration and evaluation results, conducts an extended analysis of the implemented optimization management, and specifically optimizes and updates the subsequent construction design corresponding to different optimization types according to the analysis results. It realizes the multi-dimensional extended utilization of the supervision and processing data of each construction of the grab dredger, conducts diversified optimization management on the implementation of the grab dredger, and improves the self-management and optimization effects in different aspects during the construction of the grab dredger. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The following further describes the present invention with reference to the drawings.

[0037] Figure 1 It is a module block diagram of an intelligent management system for analyzing the construction quality of a grab dredger according to the present invention;

[0038] Figure 2 It is a principle block diagram of the operation of an intelligent management system for analyzing the construction quality of a grab dredger according to the present invention;

[0039] Figure 3 It is a principle block diagram of data analysis for local construction supervision data in the present invention;

[0040] Figure 4 It is a principle block diagram of data analysis for the optimization influence value in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0041] 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. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] As Figures 1 to 2 shown, the present invention is an intelligent management system for analyzing the construction quality of a grab dredger, including a multi-dimensional supervision and processing module for grab dredger construction, a multi-dimensional evaluation and management module for grab dredger construction, and a supervision platform;

[0043] The multi-dimensional supervision and processing module for grab dredger construction is used to supervise and process data in the longitudinal dimension and the transverse dimension for each excavation during the construction of the grab dredger, and obtain local construction supervision data corresponding to each construction; including:

[0044] During the construction of the grab dredger, quality supervision involving depth control and flatness control is carried out;

[0045] Among them, depth control: Ensure that the excavation reaches the designed depth, avoid shallow points (areas that do not reach the designed depth), and at the same time avoid over-excavation (over-depth);

[0046] Flatness control: Ensure that the seabed surface after excavation is as flat as possible, and reduce the irregular terrain caused by the grab operation;

[0047] In order to carry out quality supervision in the above aspects, modern technical means such as GPS positioning, electronic compass, and computer-aided systems are used during construction to improve construction accuracy and efficiency.

[0048] When supervising and processing data in the longitudinal dimension for each excavation of the grab dredger, monitor and statistically analyze the depth, grab closing force, and excavation volume of each excavation of the grab dredger. The depth of each excavation can be monitored and statistically analyzed based on existing sonar equipment or GPS combined with an inertial navigation system (INS). The grab closing force of each excavation can be monitored and statistically analyzed by installing force sensors or pressure sensors at key parts of the grab, such as the hinge or the hydraulic cylinder;

[0049] The excavation volume of each excavation can directly measure the weight of the material in the grab using a weighing sensor, or estimate the actual volume of the grabbed material through volume scanning technology. For the generation amount of suspended sediment, it can be estimated according to the grab size adopted in the construction plan and the suspended sediment source strength generated during the dredging process. Quantify the monitored and statistically analyzed depth, grab closing force, and excavation volume, that is, extract the numerical values of the corresponding data items respectively, and pass the numerical values obtained through quantification through the formula Calculate and obtain the longitudinal construction effect value ZX corresponding to each excavation of the grab dredger; where a, b, and c are different proportionality coefficients and are all greater than 0, and the specific values are not limited and can be customized according to the application requirements and application requirements of the actual application scenario; ZS and ZL are the excavation depth and grab closing force of the grab dredger during excavation respectively; ZS0 and ZL0 are the standard depth and standard grab closing force during the excavation of the grab dredger respectively, and can be determined according to the preliminary design data of the grab dredger during excavation; η is the excavation supervision coefficient;

[0050] The longitudinal construction effect value is used to process and calculate different monitoring and statistical data of each excavation of the grab dredger, so as to digitally represent the corresponding single longitudinal construction effect;

[0051] Among them, the steps for obtaining the excavation supervision coefficient η include:

[0052] Analyze the excavation volume of each excavation of the grab dredger through the excavation identification model, and output the excavation supervision identifier WB corresponding to the excavation behavior;

[0053] The expression of the excavation identification model is ; where WL is the excavation volume of each excavation of the grab dredger; WL1 and WL2 are the standard minimum excavation volume and standard maximum excavation volume corresponding to each excavation of the grab dredger respectively, and are both determined according to the preliminary design data of the grab dredger during excavation;

[0054] If the excavation supervision identifier is 0, then set the excavation supervision coefficient η to 0;

[0055] If the excavation supervision identifier is 1, then compare WL with WL1 and WL2 respectively for judgment;

[0056] If WL < WL1, then set the excavation supervision coefficient η to WL1 - WL;

[0057] If WL > WL2, then set the excavation supervision coefficient η to WL - WL2;

[0058] In the embodiment of the present invention, by supervising and processing the data in the longitudinal dimension of each excavation of the grab dredger, the corresponding longitudinal construction effect value is obtained, which can not only digitally represent the single longitudinal construction effect of each excavation of the grab dredger, but also provide reliable longitudinal construction supervision and processing data support for the subsequent processing and analysis of the single construction state of the grab dredger during excavation and the optimization and adjustment;

[0059] Analyze the longitudinal construction effect value to determine the longitudinal construction effect corresponding to the excavation of the grab dredger;

[0060] If ZX = 0, it is prompted that the longitudinal construction effect of the corresponding grab dredger's excavation is normal, and the longitudinal construction supervision identifier of the corresponding excavation behavior is set to 0;

[0061] Otherwise, it is prompted that the longitudinal construction effect of the corresponding grab dredger's excavation is abnormal, and the longitudinal construction supervision identifier of the corresponding excavation behavior is set to 1;

[0062] By performing data analysis and digital representation on the longitudinal construction effect values obtained through processing, the efficiency of processing and analyzing the single construction state of subsequent grab dredger excavations can be effectively improved;

[0063] When conducting horizontal dimension supervision and data processing on each excavation carried out by the grab dredger, the elevations of each preset measurement point within the excavation area of the grab dredger are monitored and marked as Xi. The elevation is the seabed height value, where i represents different preset measurement points, which are set by professional technical personnel in the field according to the actual excavation scenario and excavation requirements. i = 1, 2, 3,..., n; n is a positive integer representing the total number of all measurement points;

[0064] Through the formula Calculate the average value of the elevations of all preset measurement points ;

[0065] And, through the formula Calculate the horizontal construction influence value HY corresponding to each excavation carried out by the grab dredger; in the formula, A is the horizontal construction influence standard value, which can be determined based on the preliminary design data of the grab dredger's excavation;

[0066] The horizontal construction influence value is used to process and calculate different influence monitoring and statistical data after each excavation carried out by the grab dredger to digitally represent its corresponding horizontal construction influence;

[0067] Perform data analysis on the horizontal construction influence value to determine the horizontal construction influence corresponding to the grab dredger's excavation;

[0068] If HY ≤ 1, it is prompted that the horizontal construction influence corresponding to the grab dredger's excavation is normal, and the horizontal construction supervision identifier of the corresponding excavation behavior is set to 0;

[0069] Otherwise, it is prompted that the horizontal construction influence corresponding to the grab dredger's excavation is abnormal, and the horizontal construction supervision identifier of the corresponding excavation behavior is set to 1;

[0070] In the embodiment of the present invention, by supervising and processing the data in the horizontal dimension for each excavation of the grab dredger, the corresponding horizontal construction influence value is obtained, which can not only digitally represent the horizontal construction influence of each excavation of the grab dredger, but also provide reliable data support for the subsequent single construction status processing analysis and optimization adjustment of the grab dredger during excavation, in terms of horizontal construction supervision and processing;

[0071] Sort and combine the longitudinal construction supervision identification and the horizontal construction supervision identification obtained through the supervision and processing corresponding to each excavation of the grab dredger, to obtain the local construction supervision data corresponding to each construction and upload it to the supervision platform in real time;

[0072] In the embodiment of the present invention, by supervising and processing the data in the longitudinal dimension and the horizontal dimension for each excavation after the grab dredger starts construction, the digitally processed data corresponding to different dimensions is obtained, which can not only realize multi-dimensional supervision and data processing of each construction of the grab dredger from different dimensions, but also provide reliable multi-dimensional supervision data support for the subsequent single construction status analysis and management corresponding to each construction, improving the autonomous supervision and analysis effect in different aspects during the construction of the grab dredger.

[0073] The multi-dimensional evaluation and management module for the construction of the grab dredger is used to integrally evaluate the corresponding single construction status according to the local construction supervision data obtained through the supervision and processing of each construction of the grab dredger, and adaptively conduct targeted optimization management on the subsequent construction of the grab dredger according to the integrated evaluation result, and conduct extended analysis on the implemented optimization management, and conduct targeted optimization updates on the subsequent construction designs of different optimization types according to the analysis results; including:

[0074] Traverse and analyze the local construction supervision data obtained through the supervision and processing of each construction of the grab dredger. If the values in the local construction supervision data are all 0, it indicates that the corresponding single construction status is normal, and the subsequent construction plan of the grab dredger is maintained;

[0075] As Figure 3 shown, if there are non-zero values in the local construction supervision data, count the total number of values of 1 and analyze;

[0076] If the total number of values of 1 is 1, it indicates that the corresponding single construction status is slightly abnormal, and the first construction optimization management plan is implemented;

[0077] If the total number of values of 1 is 2, it indicates that the corresponding single construction status is severely abnormal, and the second construction optimization management plan is implemented;

[0078] Among them, the first construction optimization management plan is specifically to optimize and adjust the operation parameters of the construction to improve the stability and reliability of the subsequent construction of the grab dredger;

[0079] The second construction optimization management plan is specifically to optimize and adjust the operation parameters of the construction and the treatment parameters affected by the construction, so as to improve the stability and reliability of the subsequent grab dredger construction and reduce the negative impacts generated by the grab dredger construction; the specific steps for optimizing and adjusting the operation parameters of the construction and the treatment parameters affected by the construction are the existing conventional technical solutions, and the specific implementation steps are not elaborated here;

[0080] And, monitor and count the construction optimization items and their corresponding optimization types corresponding to the first construction optimization management plan or the second construction optimization management plan. The construction optimization items include, but are not limited to, the excavation depth optimization item, the grab closing force optimization item, the excavation volume optimization item, and the external influence optimization item. The optimization types are external optimization type and internal optimization type. The optimization types to which different construction optimization items belong are determined by professional technical personnel in the field according to work requirements, and identify and count the total number of occurrences of the external optimization type and the total number of occurrences of the internal optimization type corresponding to the construction optimization item, and through the formula Calculate and obtain the optimization influence value YYk corresponding to different optimization types; in the formula, k is 1, 2, which are the external optimization type and the internal optimization type respectively; Nk is N1, N2, which are the total number of occurrences of the external optimization type alone and the total number of occurrences of the internal optimization type alone respectively; N3 is the total number of occurrences of the external optimization type and the internal optimization type at the same time; α is the type influence factor, and is a real number greater than 1, and can take the value of 1.76; Bk is B1, B2, which are the optimization influence standard values corresponding to the external optimization type and the internal optimization type respectively, and can be determined according to the preliminary design data of the grab dredger implementation of excavation, or can be determined according to the preliminary test data of the grab dredger implementation of excavation;

[0081] The optimization influence value is used to process and calculate the optimization processing data corresponding to different optimization types to digitally represent the local optimization influence corresponding to different optimization types;

[0082] As Figure 4 shown, if there is no YYk≥1, it is prompted that the optimization management of both the external optimization type and the internal optimization type is normal;

[0083] If there is YYk≥1, it is prompted that the optimization management of the corresponding external optimization type and / or internal optimization type is abnormal, and targeted optimization and update are carried out on the subsequent construction design of the corresponding optimization type. Specifically, it can be to add, delete, or modify the existing construction design rules of the external optimization type and / or internal optimization type.

[0084] In the embodiments of the present invention, the local construction supervision data obtained from each construction supervision process of the grab dredger is used to comprehensively evaluate the corresponding single construction status. Based on the comprehensive evaluation results, the subsequent construction of the grab dredger is adaptively and specifically optimized and managed. The implemented optimization management is further analyzed, and based on the analysis results, the subsequent construction designs of different optimization types are specifically optimized and updated. This realizes the multi-dimensional extended utilization of the data from each construction supervision process of the grab dredger, diversifies the optimization management of the grab dredger's implementation, and improves the autonomous management and optimization effects in different aspects during the grab dredger's construction.

[0085] In addition, the formulas involved above are all calculated by removing the dimension and taking their numerical values, and are obtained by collecting a large amount of data and simulating through simulation software to get a formula that is closest to the actual situation.

[0086] In several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the described embodiments of the invention are merely illustrative. For example, the division of modules is only a logical functional division, and there can be other division methods in actual implementation.

[0087] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical modules. They can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0088] In addition, in each embodiment of the present invention, the functional modules can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of a combination of hardware and software functional modules.

[0089] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and can be implemented in other specific forms without departing from the basic characteristics of the present invention.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An intelligent management system for construction quality analysis of grab ships, characterized in that: It includes a multi-dimensional supervision and processing module for grab boat construction, which is used to supervise and process data in the longitudinal and transverse dimensions for each excavation after the grab boat starts construction, and obtain local construction supervision data corresponding to each construction; Among them, when the grab boat is supervised and data processed in the longitudinal dimension each time it implements excavation, the depth, grab closure force and excavation amount of each excavation implemented by the grab boat are monitored and counted, and the monitored and counted depth, grab closure force and excavation amount are quantified, and the values ​​obtained by the quantification process are calculated by the formula ZX=a×|ZS-ZS0|+b×|ZL-ZL0|+c×η to obtain the longitudinal construction effect value ZX corresponding to each excavation implemented by the grab boat; wherein a, b, and c are different proportional coefficients and are all greater than 0; ZS and ZL are the depth and grab closure force of the excavation implemented by the grab boat, respectively; ZS0 and ZL0 are the standard depth and standard grab closure force when the grab boat implements excavation, respectively; η is the excavation supervision coefficient; When the grab boat is monitored and data processed in the horizontal dimension each time it carries out excavation, the elevation of each preset measuring point of the grab boat in the excavation area is monitored and obtained and marked as Xi, where i is a different preset measuring point, i=1, 2, 3, ..., n; n is a positive integer, representing the total number of all measuring points; By formula Calculate the average elevation of all preset measuring points And, through the formula Calculate and obtain the lateral construction impact value HY corresponding to each excavation carried out by the grab boat; where A is the standard value of lateral construction impact; The multi-dimensional evaluation management module for grab boat construction is used to integrate and evaluate the corresponding single construction status according to the local construction supervision data obtained from each construction supervision process of the grab boat, and adaptively optimize the subsequent construction of the grab boat in a targeted manner according to the integrated evaluation results, and conduct extended analysis on the implemented optimization management, as well as targeted optimization and update of subsequent construction designs of different optimization types according to the analysis results.

2. According to claim 1, the intelligent management system for construction quality analysis of grab boats is characterized in that: The steps to obtain the mining supervision coefficient η include: The excavation volume of each excavation carried out by the grab boat is analyzed through the excavation recognition model, and the excavation supervision mark WB corresponding to the excavation behavior is output; The expression of the mining recognition model is Where, WL is the excavation volume of the grab boat each time; WL1 and WL2 are the standard minimum excavation volume and standard maximum excavation volume corresponding to each excavation of the grab boat; If the mining supervision flag is 0, the mining supervision coefficient η is set to 0; If the mining supervision flag is 1, WL is compared with WL1 and WL2 respectively; If WL<WL1, the mining supervision coefficient η is set to WL1-WL; If WL>WL2, the mining supervision coefficient η is set to WL-WL2.

3. According to claim 1, the intelligent management system for construction quality analysis of grab boats is characterized in that: Conduct data analysis on the longitudinal construction effect value to determine the longitudinal construction effect corresponding to the excavation by the grab boat; If ZX=0, it indicates that the longitudinal construction effect of the excavation carried out by the grab ship is normal, and the longitudinal construction supervision mark of the corresponding excavation behavior is set to 0; Otherwise, it will prompt that the longitudinal construction effect corresponding to the excavation carried out by the grab ship is abnormal, and the longitudinal construction supervision mark of the corresponding excavation behavior is set to 1.

4. According to claim 3, the intelligent management system for construction quality analysis of grab boats is characterized in that: Conduct data analysis on the lateral construction impact value to determine the lateral construction impact corresponding to the excavation by the grab boat; If HY≤1, it indicates that the horizontal construction impact corresponding to the excavation by the grab ship is normal, and the horizontal construction supervision mark of the corresponding excavation behavior is set to 0; Otherwise, it will prompt that the horizontal construction impact corresponding to the excavation carried out by the grab ship is abnormal, and the horizontal construction supervision flag of the corresponding excavation behavior will be set to 1; The longitudinal construction supervision marks and transverse construction supervision marks obtained from the corresponding supervision processing of each excavation carried out by the grab boat are sorted and combined to obtain the local construction supervision data corresponding to each construction and upload them to the supervision platform in real time.

5. The intelligent management system for construction quality analysis of grab boats according to claim 4 is characterized in that: The local construction supervision data obtained by each construction supervision process of the grab boat is traversed and analyzed. If the values ​​in the local construction supervision data are all 0, it indicates that the corresponding single construction status is normal, and the subsequent construction plan of the grab boat is maintained; If there are non-zero values ​​in the local construction supervision data, the total number of values ​​1 is counted and analyzed.

6. The intelligent management system for construction quality analysis of grab boats according to claim 5 is characterized in that: If the total number of values ​​1 is 1, it is indicated that the corresponding single construction state is slightly abnormal, and the first construction optimization management plan is implemented; If the total number of values ​​1 is 2, it indicates that the corresponding single construction status is severely abnormal, and the second construction optimization management plan is implemented.

7. The intelligent management system for construction quality analysis of grab boats according to claim 6, characterized in that: Monitor and count the construction optimization items and their corresponding optimization types corresponding to the first construction optimization management plan or the second construction optimization management plan, and identify and count the total number of external optimization types and the total number of internal optimization types corresponding to the construction optimization items, and use the formula Calculate and obtain the optimization impact value YYk corresponding to different optimization types; where k is 1 and 2, which represent the external optimization type and the internal optimization type, respectively; Nk is N1 and N2, which represent the total number of external optimization types and the total number of internal optimization types that appear separately, respectively; N3 is the total number of external optimization types and internal optimization types that appear simultaneously; α is the type influence factor, which is a real number greater than 1; Bk is B1 and B2, which are the optimization influence standard value corresponding to the external optimization type and the optimization influence standard value corresponding to the internal optimization type, respectively.

8. The intelligent management system for construction quality analysis of grab boats according to claim 7, characterized in that: If YYk≥1 does not exist, it indicates that the optimization management of the external optimization type and the internal optimization type are both normal; If YYk≥1 exists, it will prompt that the optimization management of the corresponding external optimization type and / or internal optimization type is abnormal, and the subsequent construction design of the corresponding optimization type will be optimized and updated in a targeted manner.

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