Computer system and method for marine economic management analysis data

Abstract

The invention provides a computer system and method for marine economy management analysis data, and belongs to the technical field of data processing.The method comprises the steps that firstly, a productivity demand model is constructed, and then a first index and a second index reflecting economic influences are calculated for marine economy related industries in a certain area; and according to the first index and the second index, economic management suggestions of different industries related to marine economy in the region are generated. According to the marine economic management data analysis method, the existing heuristic algorithm or large model is prevented from being adopted for data processing, economic management suggestions of related industries are generated, meanwhile, the program processing time efficiency of the data analysis method is improved, and the computing resource occupancy rate is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular relates to a computer system and method for marine economic management and analysis data. Background Art

[0002] Marine economy is an important focus for accelerating the transformation of economic development mode and adjusting industrial structure. Marine economic management based on data analysis is conducive to the rapid and healthy development of marine economy. In the existing marine economic management, some need to use heuristic algorithms for data analysis. For example, in the patent application with application number 201810250063.0, genetic algorithms are used to calculate input data, construct interference matrices, obtain feasible analysis programs, construct fitness functions suitable for gravitational search algorithms, and use improved gravitational search calculation formulas to iteratively solve the economic management data to be analyzed to obtain the optimal feasible analysis program; some need to rely on large models for analysis. For example, in the patent application with application number 202310826844.0, transfer learning is performed on the original multimodal data for e-commerce, a knowledge transfer model for e-commerce is constructed, and then multimodal embedding is performed to obtain multimodal embedding matrix data for e-commerce. Finally, economic management decision data for e-commerce is generated based on the multimodal embedding matrix data.

[0003] However, both data analysis based on heuristic algorithms and data analysis based on large models require high-computing power computing resources. Most ordinary computing resources are limited by computing power, and either it is difficult to perform the above data analysis or it takes a long time to perform the above data analysis. The processing time of the data analysis program is reduced, resources are occupied, and it is not conducive to the release of computing resources. Summary of the invention

[0004] In order to solve the problems existing in the prior art, the present invention proposes a computer system and method for marine economic management analysis data, so as to improve the program processing time efficiency of the data analysis method and reduce the computing resource occupancy rate at least to a certain extent.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a computer system for marine economic management analysis data, comprising a data acquisition module, a data analysis module and a result output module, the data acquisition module is connected to the data analysis module, the data analysis module is connected to the result output module, the data acquisition module is used to obtain the production capacity, original input and demand data of marine economy-related industries in a certain region, and send the above-mentioned production capacity, original input and demand data to the data analysis module, the data analysis module is used to construct a production capacity demand model, calculate the first index and the second index for different industries, and send the calculation results to the result output module, the result output module is used to generate and output economic management suggestions for different industries related to the marine economy in the region based on the first index and the second index.

[0006] The present invention also proposes a method for analyzing data for marine economic management, which is implemented based on the above computer system, wherein the capacity demand model is specifically:

[0007] X=(1-C) -1 ×Y;

[0008] Where X represents the ocean capacity in the region, Y represents the ocean capacity demand in the region, I represents the identity matrix, and C represents the coefficient matrix, where X = [x1, x2, ..., x n ],Y=[y1,y2,……,y n ]; x1, x2, ..., x n represents the industrial capacity related to the marine economy in the region, y1, y2, ..., y n It represents the production capacity demand corresponding to the production capacity of industries related to the marine economy in the region.

[0009] Further, calculating the first index comprises the following steps:

[0010] S21: dividing the capacity demand model into a first equivalent model;

[0011]

[0012] X1 i Indicates the first direct ocean production capacity in the area, X1 j Indicates the first indirect production capacity of the ocean in the area, Y1 i represents the first direct capacity demand corresponding to the first direct capacity of the ocean in the region, Y1 j represents the first indirect capacity demand corresponding to the first indirect capacity of the ocean in the region, C1 ii -C1 jjRepresents the first to fourth coefficient matrix blocks after segmentation, where the first coefficient matrix block C1 ii and the third coefficient matrix block C1 ji Corresponding to the first direct capacity of the ocean in this area, the second coefficient matrix block C1 ij and the fourth coefficient matrix block C1 jj Corresponding to the first indirect production capacity of the ocean in the region; i = 1, 2, ..., m, j = m+1, m+2, ..., n;

[0013] S22: Calculate the first index using the first equivalent model:

[0014] INDEX 1i =1+K1×(I-C1 jj ) -1 ×C1 ji

[0015] INDEX 1j =1+K1×(I-C1 ii ) -1 ×C ij

[0016]

[0017] Where INDEX1 represents the first index, β1 represents the first proportionality coefficient, 1i and INDEX 1j represents the intermediate variable, and K1 represents the first amplification matrix.

[0018] Further, calculating the second index comprises the following steps:

[0019] S23: dividing the capacity demand model into a second equivalent model;

[0020]

[0021] X2 i Indicates the second direct ocean production capacity in the region, X2 j Represents the second indirect production capacity of the ocean in the area, PI2 i represents the direct original input corresponding to the second direct capacity of the ocean in the area, PI2 j represents the indirect primary input corresponding to the second indirect capacity of the ocean in the region, C2 ii -C2 jj represents the fifth to eighth coefficient matrix blocks after segmentation, wherein the fifth coefficient matrix block C2 ii and the seventh coefficient matrix block C2 ji Corresponding to the second direct capacity of the ocean in this area, the sixth coefficient matrix block C2 ijand the eighth coefficient matrix block C2 jj Corresponding to the second indirect production capacity of the ocean in the region; i = 1, 2, ..., m, j = m + 1, m + 2 ..., n;

[0022] S24: Calculate the second index using the second equivalent model:

[0023] INDEX 2i =1+K2×C2 ij ×(I-C2 jj ) -1

[0024] INDEX 2j =1+K2×C2 ji ×(I-C2 ii ) -1

[0025]

[0026] Where INDEX2 represents the second index, β2 represents the second proportional coefficient, INDEX 2i and INDEX 2j represents the intermediate variable, and K2 represents the second amplification matrix.

[0027] Furthermore, the above-mentioned result output module is used to output marine economic management recommendations in the region based on the first index and the second index, specifically, multiplying the first index INDEX1 by the second index INDEX2 to obtain the economic management index of each industry related to the marine economy in the region, and based on the economic management index, generate and output economic management recommendations for different industries related to the marine economy in the region.

[0028] The beneficial technical effect of the present invention compared with the prior art is: proposing a capacity demand model, obtaining a first index and a second index based on the capacity demand model, and obtaining the economic management index of each industry related to the marine economy in the region according to the first index and the second index, avoiding the use of heuristic algorithms or large models, generating economic management suggestions while improving the program processing time of the data analysis method and reducing the occupancy rate of computing resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0030] Figure 1A schematic diagram of a computer system for marine economic management and analysis data according to the present invention;

[0031] Figure 2 The present invention is a flow chart of the method for analyzing data for marine economic management. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] The following first describes the concepts involved in the present application in conjunction with the accompanying drawings. It should be noted that the following description of each concept is only to make the content of the present application easier to understand, and does not limit the scope of protection of the present application; at the same time, the embodiments and features in the embodiments of the present application can be combined with each other in the absence of conflict. The present application will be described in detail with reference to the accompanying drawings and in conjunction with the embodiments.

[0034] In conjunction with the instruction manual Figure 1 The present invention proposes a computer system for marine economic management and analysis data, including a data acquisition module, a data analysis module and a result output module, wherein the data acquisition module is connected to the data analysis module, and the data analysis module is connected to the result output module, and the data acquisition module is used to access the management database of related industries to obtain the production capacity, original input and demand data of marine economic related industries in a certain area. In the present invention, marine economic related industries are divided into five production capacity industries directly related to marine economy, namely marine fishery, marine transportation, marine shipbuilding, marine mining and marine service industries (of course, coastal tourism, sea salt industry, marine engineering industry, etc. can also be included, and the specific number and types of divided industries can be flexibly set), as well as multiple marine economic indirect production capacity industries such as steel industry, metallurgy industry, food processing industry, manufacturing industry, oil and gas storage and transportation industry, and catering industry that are matched with the above five production capacity industries directly related to marine economy. The production capacity, original input and demand data of the above industries are all in units of 10,000 yuan / year.

[0035] The above-mentioned capacity, original input and demand data are sent to the data analysis module, and the data analysis module constructs a capacity demand model, calculates the first index and the second index for different industries based on the above-mentioned capacity, original input and demand data, and sends the calculation results to the result output module, and the result output module is used to generate and output economic management suggestions for different industries related to the marine economy in the region based on the first index and the second index, so as to facilitate other departments to make development suggestions and make decisions based on the output results. The data acquisition module, data analysis module and result output module of the present invention can be integrated on the same processor to meet the miniaturization requirements of the computer system; the database preferably uses a cloud database to store and call industry economic data.

[0036] In conjunction with the instruction manual Figure 2 The present invention also proposes a method for analyzing data for marine economic management, which is implemented based on the above computer system. The method includes:

[0037] S1: Construct a capacity demand model, specifically:

[0038] X=(IC) -1 ×Y;

[0039] Where X represents the ocean capacity in the region, Y represents the ocean capacity demand in the region, I represents the identity matrix, and C represents the coefficient matrix, where X = [x1, x2, ..., x n ],Y=[y1,y2,……,y n ]; x1, x2, ..., x n represents the industrial capacity related to the marine economy in the region, y1, y2, ..., y n It represents the production capacity demand corresponding to the production capacity of industries related to the marine economy in the region.

[0040] Further, calculating the first index comprises the following steps:

[0041] S21: dividing the capacity demand model into a first equivalent model;

[0042]

[0043] X1 i It represents the first direct production capacity of the ocean in the region. As mentioned above, there are five production capacity industries directly related to the marine economy of the present invention, that is, i = 1, 2, 3, 4, 5, X1 i That is, it means the first direct marine capacity of one of the five capacity industries directly related to the marine economy; X1 jIt indicates the first indirect capacity of the ocean in the region, that is, it indicates the first indirect capacity of the ocean in a certain industry among the multiple indirect capacity industries of the ocean economy that are directly related to the five capacity industries of the ocean economy of the present invention; Y1 i represents the first direct capacity demand corresponding to the first direct capacity of the ocean in the region, Y1 j represents the first indirect capacity demand corresponding to the first indirect capacity of the ocean in the region, C1 ii -C1 jj Represents the first to fourth coefficient matrix blocks after segmentation, where the first coefficient matrix block C1 ii and the third coefficient matrix block C1 ji Corresponding to the first direct capacity of the ocean in this area, the second coefficient matrix block C1 ij and the fourth coefficient matrix block C1 jj The elements C of each coefficient matrix block correspond to the first indirect production capacity of the ocean in the region. ab Indicates the transition demand between the industry represented by row a and the industry represented by column b. When a=b, C is taken. ab =1;i=1,2,...,5,j=6,7,...,n;

[0044] S22: Calculate the first index using the first equivalent model:

[0045]

[0046] Where INDEX1 represents the first index, β1 represents the first proportionality coefficient, 1i and INDEX 1j represents the intermediate variable, and K1 represents the first amplification matrix. By setting the first proportional coefficient and the first amplification matrix, the calculation stability of the first index can be enhanced, thereby more intuitively reflecting the value of the first index; INDEX1 essentially reflects the influence of the industry on the upstream industries in its industrial chain. The larger the first index INDEX1 is, the greater the demand for the upstream industries in the industrial chain, and the more it can drive the development of the upstream industries.

[0047] Further, calculating the second index comprises the following steps:

[0048] S23: dividing the capacity demand model into a second equivalent model;

[0049]

[0050] X2 i Indicates the second direct ocean production capacity in the region, X2 j Represents the second indirect production capacity of the ocean in the area, PI2 irepresents the direct original input corresponding to the second direct capacity of the ocean in the area, PI2 j represents the indirect primary input corresponding to the second indirect capacity of the ocean in the region, C2 ii -C2 jj represents the fifth to eighth coefficient matrix blocks after segmentation, wherein the fifth coefficient matrix block C2 ii and the seventh coefficient matrix block C2 ji Corresponding to the second direct capacity of the ocean in this area, the sixth coefficient matrix block C2 ij and the eighth coefficient matrix block C2 jj Corresponding to the second indirect production capacity of the ocean in this area, similarly, the elements C of each coefficient matrix block αβ It represents the transition demand between the industry represented by the α row and the industry represented by the β column. When α=β, C is taken. αβ =1; i=1, 2, ..., m, j=m+1, m+2..., n; It should be noted here that the second equivalent model improves the capacity demand model into a capacity input model, and modifies the marine capacity demand into the original input of a certain industry, that is, the second equivalent model describes the relationship between the original input and output, while the first equivalent model describes the relationship between demand and output. Therefore, the above-mentioned marine second direct capacity is completely different from the above-mentioned marine first direct capacity, and the above-mentioned marine second indirect capacity is also completely different from the above-mentioned marine first indirect capacity. The first to fourth coefficient matrix blocks represent the conversion relationship between demand and output, and the fifth to eighth coefficient matrix blocks represent the conversion relationship between original input and output.

[0051] S24: Calculate the second index using the second equivalent model:

[0052]

[0053] Where INDEX2 represents the second index, β2 represents the second proportional coefficient, INDEX 2i and INDEX 2j represents the intermediate variable, K2 represents the second magnification matrix. INDEX2 reflects the influence of the industry on the downstream industries in its industrial chain. The larger the second index INDEX2 is, the greater the dependence of the downstream industries in the industrial chain on it, and the more it can support the development of the downstream industries.

[0054] Furthermore, the above-mentioned result output module is used to output marine economic management suggestions in the region according to the first index and the second index, specifically by multiplying the first index INDEX1 by the second index INDEX2, so as to obtain the economic management index of various industries related to the marine economy in the region, thereby characterizing the influence of a certain industry on the upstream and downstream industries of its industrial chain. Then, based on the economic management index, economic management suggestions for different industries related to the marine economy in the region are generated and output, specifically, the results of multiplying the first index INDEX1 by the second index INDEX2 are arranged in order from large to small. For industries with larger multiplication results, encouraging policies can be formulated and high investment priority can be given, and for industries with smaller multiplication results, restrictive policies can be formulated and low investment priority can be given.

[0055] The present invention avoids using currently conventional data processing models or algorithms such as heuristic algorithms, computational learning or large models, and instead uses the constructed capacity demand model as a basis for marine economic management data analysis, thereby improving the timeliness of data processing, reducing the occupancy rate of computing resources, and having practical engineering application value.

[0056] The embodiments and / or implementation methods described above are only used to illustrate the preferred embodiments and / or implementation methods for realizing the technology of the present invention, and are not intended to limit the implementation methods of the technology of the present invention in any form. Any technical personnel in this field may make slight changes or modifications to other equivalent embodiments without departing from the scope of the technical means disclosed in the content of the present invention, but they should still be regarded as technologies or embodiments that are essentially the same as the present invention.

[0057] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and its core ideas of this application. The above is only the preferred implementation method of this application. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of this application, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the concept and technical solution of the invention to other occasions without improvement, should be regarded as the scope of protection of this application.

Claims

1. A computer system for marine economic management and analysis data, comprising a data acquisition module, a data analysis module and a result output module, wherein the data acquisition module is connected to the data analysis module, and the data analysis module is connected to the result output module, characterized in that: The data acquisition module is used to obtain the production capacity, original input and demand data of the marine economy-related industries in a certain region, and send the above production capacity, original input and demand data to the data analysis module. The data analysis module is used to build a production capacity demand model, calculate the first index and the second index for different industries, and send the calculation results to the result output module. The result output module is used to generate and output economic management suggestions for different industries related to the marine economy in the region based on the first index and the second index.

2. A method for analyzing data for marine economic management, characterized in that: The method is implemented based on the computer system according to claim 1, and specifically comprises the following steps: S1: Construct a capacity demand model, wherein the capacity demand model is specifically: X=(I-C) -1 ×Y; Where X represents the marine capacity in the region, Y represents the marine capacity demand in the region, I represents the unit matrix, and C represents the coefficient matrix, where X = [x1, x2, ..., xn], Y = [y1, y2, ..., yn]; x1, x2, ..., xn represent the capacity of industries related to the marine economy in the region, and y1, y2, ..., yn represent the capacity demand corresponding to the capacity of industries related to the marine economy in the region; S2: Calculate the first index and the second index for different industries; S3: Based on the first index and the second index, economic management suggestions for different industries related to the marine economy in the region are generated and output.

3. The method for analyzing data for marine economic management according to claim 2, characterized in that: The calculation of the first index in S2 includes the following sub-steps: S21: dividing the capacity demand model into a first equivalent model; X1 i Indicates the first direct ocean production capacity in the area, X1 j Indicates the first indirect production capacity of the ocean in the area, Y1 i represents the first direct capacity demand corresponding to the first direct capacity of the ocean in the region, Y1 j represents the first indirect capacity demand corresponding to the first indirect capacity of the ocean in the region, C1 ii -C1 jj Represents the first to fourth coefficient matrix blocks after segmentation, where the first coefficient matrix block C1 ii and the third coefficient matrix block C1 ji Corresponding to the first direct capacity of the ocean in this area, the second coefficient matrix block C1 ij and the fourth coefficient matrix block C1 jj Corresponding to the first indirect production capacity of the ocean in the region; i = 1, 2, ..., m, j = m+1, m+2, ..., n; S22: Calculate the first index using the first equivalent model: INDEX 1i =1+K1×(I-C1 jj )-×C1 ji INDEX 1j =1+K1×(I-C1 ii )-×C1 ij Where INDEX1 represents the first index, β1 represents the first proportionality coefficient, 1i and INDEX1j represent intermediate variables, and K1 represents the first amplification matrix.

4. The method for analyzing data for marine economic management according to claim 3, characterized in that: The calculation of the second index in S2 includes the following sub-steps: S23: dividing the capacity demand model into a second equivalent model; X2 i Indicates the second direct ocean production capacity in the region, X2 j Represents the second indirect production capacity of the ocean in the area, PI2 i represents the direct original input corresponding to the second direct capacity of the ocean in the area, PI2 j represents the indirect primary input corresponding to the second indirect capacity of the ocean in the region, C2 ii -C2 jj represents the fifth to eighth coefficient matrix blocks after segmentation, wherein the fifth coefficient matrix block C2 ii and the seventh coefficient matrix block C2 ji Corresponding to the second direct capacity of the ocean in this area, the sixth coefficient matrix block C2 ij and the eighth coefficient matrix block C2 jj Corresponding to the second indirect production capacity of the ocean in the region; i = 1, 2, ..., m, j = m + 1, m + 2 ..., n; S24: Calculate the second index using the second equivalent model: INDEX 2i =1+K2×C2 ij ×(I-C2 jj ) -1 INDEX 2j =1+K2×C2 ji ×(I-C2 ii )-1 Where INDEX2 represents the second index, β2 represents the second proportional coefficient, INDEX 2i and INDEX2j represent intermediate variables, and K2 represents the second amplification matrix.

5. The method for analyzing data for marine economic management according to claim 4, characterized in that: In S3, economic management suggestions for different industries related to the marine economy in the region are generated based on the first index and the second index. Specifically, the first index INDEX1 is multiplied by the second index INDEX2 to obtain the economic management index of each industry related to the marine economy in the region, and based on the economic management index, economic management suggestions for different industries related to the marine economy in the region are generated and output.

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