CN114358639A - Marine economy development environment monitoring system based on data processing - Google Patents
Marine economy development environment monitoring system based on data processing Download PDFInfo
- Publication number
- CN114358639A CN114358639A CN202210030689.7A CN202210030689A CN114358639A CN 114358639 A CN114358639 A CN 114358639A CN 202210030689 A CN202210030689 A CN 202210030689A CN 114358639 A CN114358639 A CN 114358639A
- Authority
- CN
- China
- Prior art keywords
- index
- indexes
- marine
- weight
- economic development
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011161 development Methods 0.000 title claims description 56
- 238000012545 processing Methods 0.000 title claims description 38
- 238000012544 monitoring process Methods 0.000 title claims description 31
- 238000000034 method Methods 0.000 claims description 51
- 238000011156 evaluation Methods 0.000 claims description 42
- 238000004364 calculation method Methods 0.000 claims description 10
- 230000007613 environmental effect Effects 0.000 claims description 10
- 238000013210 evaluation model Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 239000013535 sea water Substances 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims 2
- 230000008569 process Effects 0.000 description 14
- 230000008859 change Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000001186 cumulative effect Effects 0.000 description 3
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 241000282414 Homo sapiens Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013278 delphi method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a data processing-based marine economic development environment monitoring system, which comprises an index system construction module, an index system processing module, an index weight calculation module and a comprehensive evaluation determination module, wherein the index system construction module is used for establishing an index system for natural environment indexes which closely influence the marine economic development; the index system processing module is used for processing indexes; the comprehensive evaluation determining module is used for judging the comprehensive score of the ocean development level through the operation of indexes, the comprehensive evaluation determining module can fully know the ocean condition and the economic development trend, and all departments can give early warning to the ocean economic development trend in time; compared with the traditional model, the evaluation model has stronger practical performance.
Description
Technical Field
The invention relates to the technical field of evaluation of marine development, in particular to a marine economic development environment monitoring system based on data processing.
Background
Oceans are important resources for human beings, the oceans economy in Zhejiang province is rapidly developed in recent years, the ocean resources are unreasonably utilized, the oceans are not harmoniously developed, the high-speed development of the oceans is restricted, and the oceans do not have a mature comprehensive evaluation system, so that the index condition of oceans is not known, the oceans are not known to develop trends in the economy, and the oceans are not known to modify the development of the oceans.
The development of marine economy is based on the environmental background, the resources necessary for the development of marine economy can be provided in a good development environment, power is provided for the development of marine economy, and natural resource environment and market policy environment are two important factors influencing the development fluctuation of marine economy among a plurality of factors influencing the development environment. Therefore, the natural resource environment and the market policy environment are used as two basic objects of the oceanic economic development environment monitoring model in Zhejiang province and are monitored in real time, so that the oceanic economic development change direction can be mastered, and early warning on oceanic economic development trends of all departments can be facilitated.
Disclosure of Invention
The invention aims to provide a marine economic development environment monitoring system based on data processing, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a data processing-based marine economic development environment monitoring system comprises an index system building module, an index system processing module, an index weight calculating module and a comprehensive evaluation determining module, wherein the index system building module is used for building an index system for natural environment indexes which closely influence the marine economic development so as to monitor the change of the natural environment for the marine economic development; the index system processing module is used for processing indexes so as to compare different index data; the comprehensive evaluation determination module is used for judging the comprehensive score of the ocean development level through the operation of indexes so as to analyze the state of the ocean.
The method comprises the following steps:
step Z01: constructing a secondary index system according to four primary indexes of ecological environment, pollution monitoring, disaster control and ecological protection, which influence the development of marine economy;
step Z02: carrying out forward processing on the constructed secondary indexes;
step Z03: carrying out weight calculation on the index processed in the step Z02;
step Z04: and judging the development level of the gathering areas of the coastal industries according to the weight in the step Z03 and carrying out comprehensive evaluation. Further, in the step Z01, the constructing a secondary index system according to the constructed primary index specifically includes,
a: ecological environment, two secondary indexes are established: determining the area of the right sea area and the utilization rate of the offshore area;
b: pollution monitoring, two secondary indexes are established: the number of dumping areas and the water quality of near-shore seawater;
c: disaster control, a secondary index is constructed: the number of occurrences of marine disasters and environmental accidents;
d: ecological protection, two secondary indexes are established: the number of ocean protection areas and the area ratio of the ocean protection areas;
in the step A, the first step is carried out,
in the step D, the step (c) is carried out,
further, in the constructed secondary indexes, except that the secondary indexes in disaster control are reverse indexes, the other secondary indexes are forward indexes, and the reverse indexes are subjected to forward processing in the following mode;
wherein x isnewAs an index after reciprocal processing, xoldIs an original index;
further, in step Z03, the weight of the index is calculated by an entropy weight method, n evaluation years and m evaluation indexes are set, and the analysis step is as follows:
step Z031: carrying out proportion conversion on the index, and converting the actual value of the index into an evaluation value;
step Z302: calculating an entropy value of the index by the evaluation value in step Z301;
step Z303: the weight of the index is calculated from the entropy value in step Z302.
Further, in step Z031, the transformation is performed by the following formula:
wherein: x is the number ofijA value representing the jth index of year i, aijThe index value of i years is expressed;
in step Z302, the entropy value of the index is calculated by the following formula, specifically as follows:
wherein k isjRepresenting the entropy value of the j-th index.
In step Z303, the weight of the index is calculated by the following formula, specifically as follows:
wherein q isjRepresenting the weight of the jth index.
In the step Z04, the utility function evaluation model is used to perform comprehensive evaluation on the coastal industry aggregation area, and the calculation formula is as follows:
Ei＝∑qj×zij；
wherein E represents the comprehensive development index of the coastal industry gathering area in the ith year，qjWeight, z, representing the jth measurement indexijA dimensionless number representing the jth index of the ith year.
Compared with the prior art, the invention has the following beneficial effects:
the method utilizes four primary indexes of ecological environment, pollution monitoring, disaster control and ecological protection and 7 secondary indexes to comprehensively evaluate the coastal industry gathering area, can better see the state of ocean economic development compared with a traditional evaluation model for judging the ocean gathering area, and has stronger practicability compared with the traditional model;
in the process, the entropy weight method is used for calibrating the weight in the model, and the influence degree of different indexes on ocean development is judged, so that the evaluation result of the whole method has higher practicability; and secondly, the utility function evaluation model is used for fully knowing the ocean condition and the economic development trend, so that each department can give an early warning to the ocean economic development trend in time.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the steps of a marine economic development environment monitoring system based on data processing according to the present invention;
FIG. 2 is a schematic diagram of comprehensive efficiency analysis of the marine economic development environment monitoring system based on data processing.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: a data processing-based marine economic development environment monitoring system comprises an index system building module, an index system processing module, an index weight calculating module and a comprehensive evaluation determining module, wherein the index system building module is used for building an index system for natural environment indexes which closely influence the marine economic development so as to monitor the change of the natural environment for the marine economic development; the index system processing module is used for processing indexes so as to compare different index data; the comprehensive evaluation determination module is used for judging the comprehensive score of the ocean development level through the operation of indexes so as to analyze the state of the ocean.
The method comprises the following steps:
step Z01: constructing a secondary index system according to four primary indexes of ecological environment, pollution monitoring, disaster control and ecological protection, which influence the development of marine economy;
step Z02: carrying out forward processing on the constructed secondary indexes;
step Z03: carrying out weight calculation on the index processed in the step Z02;
step Z04: judging the development level of the gathering area of the coastal industry according to the weight in the step Z03 and carrying out comprehensive evaluation;
in the process, the method is divided into four dimensions of influence on ecological environment, pollution monitoring, disaster control and ecological protection, a large number of finely divided influence factors exist under each dimension, the influence degree of each factor is inconsistent, and the influence of different factors is reflected more scientifically through calculation of the weight.
Further, in the step Z01, the constructing a secondary index system according to the constructed primary index specifically includes,
a: ecological environment, two secondary indexes are established: determining the area of the right sea area and the utilization rate of the offshore area;
b: pollution monitoring, two secondary indexes are established: the number of dumping areas and the water quality of near-shore seawater;
c: disaster control, a secondary index is constructed: the number of occurrences of marine disasters and environmental accidents;
d: ecological protection, two secondary indexes are established: the number of ocean protection areas and the area ratio of the ocean protection areas;
in the step A, the first step is carried out,
the offshore sea area utilization rate refers to the developed utilization degree of the inner water of Zhejiang province and the inner sea area space of the territorial sea area, and is expressed by the ratio of the cumulative right-confirming sea area to the inner water and the territorial sea area, and the cumulative right-confirming sea area refers to the cumulative value of the project sea area approved by the government to obtain the use right of the sea area;
in the step D, the step (c) is carried out,
the ocean protection area comprises an ocean natural protection area and an ocean natural protection area, and the condition of the provincial ocean ecological protection is monitored through the specific conditions of the ocean natural protection areas in Zhejiang province and the ratio of the area of the provincial ocean protection area to the area of the dominating ocean
Further, in the constructed secondary indexes, except that the secondary index in disaster control is a reverse index, the other secondary indexes are
The secondary indexes are all forward indexes, and forward processing is carried out on the reverse indexes in the following mode;
wherein x isnewAs an index after reciprocal processing, xoldIs an original index;
the reciprocal method is used for processing the reverse indexes, wherein the contents A, B and D are forward indexes, the larger the index is, the better the index is, the larger the index in C is, the poorer the marine ecological environment is represented, therefore, the forward processing needs to be carried out on the reverse indexes, and the forward processing of the index in C can be carried out before the values are compared with A, B and C for analysis;
in the process, for example, each index value of the Zhejiang province environment development evaluation model is processed by the method (forward conversion) to obtain each index data of the Zhejiang province coastal industry gathering area, wherein the original index is shown in table 1, and the converted index is shown in table 2:
TABLE 1
The table is shown in table 2 after forward transformation:
TABLE 2
It can be seen that the number of occurrences of the marine disaster and the environmental accident in table 1 is changed in a forward direction, and the units in table 2 are unified through the forward change, the number of dumping areas and the number of marine protection areas included in the above are forward indicators, and the larger the number is, the better the number is, therefore, only the reverse indicator is subjected to the reciprocal process here, and thus the number of occurrences of the marine disaster and the environmental accident in table 2 is gradually reduced.
Further, in step Z03, the weight of the index is calculated by an entropy weight method, n evaluation years and m evaluation indexes are set, and the analysis step is as follows:
step Z031: carrying out proportion conversion on the index, and converting the actual value of the index into an evaluation value;
step Z302: calculating an entropy value of the index by the evaluation value in step Z301;
step Z303: calculating the weight of the index according to the entropy value in the step Z302;
in the process, an entropy weight method is used for judging the weight of the index, the entropy weight method is more objective compared with subjective weighting methods such as a Delphi method and an analytic hierarchy process, weighting is performed by using the difference between information, therefore, a generated result can be better explained, the method of the entropy weight method can deeply reflect the distinguishing capability of the index, the weight value is determined by using the distinguishing capability, the method has higher reliability and accuracy compared with other subjective weighting methods, and the algorithm is simpler and more convenient compared with other methods.
Further, in step Z031, the transformation is performed by the following formula:
wherein: x is the number ofijA value representing the jth index of year i, aijThe index value of i years is expressed;
in the process, all indexes are subjected to isocratic quantization, commonly called normalization;
because negative values cannot be involved in the calculation when the entropy operation is involved; once a negative number or a zero value occurs, the index value of the negative number needs to be converted;
in step Z302, the entropy value of the index is calculated by the following formula, specifically as follows:
wherein k isjEntropy representing the jth index;
in this process, column operations and summations are required, kj>0；
In the above index, when k isjThe smaller the index, the greater the contribution of the index to the overall solution, xijThe smaller the difference of (A), the smaller kjThe larger;
in step Z303, the weight of the index is calculated by the following formula, specifically as follows:
wherein q isjA weight representing the jth index;
in the process, in order to avoid the subjective influence of the subjective weighting method on the index weight, an entropy weight method is used for calculating the weight of each index, wherein entropy is a concept from thermodynamics, and when the information content contained in a research object is larger, the uncertainty of the research object is smaller, and the entropy value is smaller; when the information amount is smaller, the uncertainty is larger, and the corresponding entropy value becomes larger. Therefore, the entropy needs to be applied to the process of obtaining the weight, and the discrete degree of the index is judged by using the entropy, and when the discrete degree of the index is larger, the influence of the index on the comprehensive evaluation is larger;
currently, many methods are used in the market to implement an evaluation principle, namely a utility function evaluation method and a system evaluation method, wherein the utility function evaluation is used, a subjective or objective evaluation method is generally adopted to determine weight, and then dimensionless data is summarized, for example, an entropy weight method is used in the text; the second type is a system evaluation method, a fuzzy comprehensive evaluation method is generally used for evaluation, and the possibility of using weight in the evaluation result process accounts for 50%; in the process, the utility function evaluation method is superior to the system evaluation method; in the application document, the secondary indexes in the table have the same important interest relationship, each index is independent and independent to the comprehensive evaluation, but all indexes can compensate each other, namely the reduction of one index can be compensated in other indexes.
In the step Z04, the utility function evaluation model is used to perform comprehensive evaluation on the coastal industry aggregation area, and the calculation formula is as follows:
Ei＝∑qj×zij；
wherein E represents the comprehensive development index of the coastal industry gathering area in the ith year, qjWeight, z, representing the jth measurement indexijA dimensionless numerical value representing the jth index of the ith year;
wherein the non-dimensionalized value is non-dimensionalized by a standardized method;
the utility function is constructed by taking an evaluation object as a consumer and taking evaluation content as a consumer product, so that a functional relation between the consumer and the consumer product is constructed.
Example 1: the comprehensive score of each level of index can be obtained from the weight of each index and the dimensionless value thereof, as shown in Table 3
The changes of the four primary indexes in each year can be seen from table 3 with 2011 as the base period. The ecological environment aspect has a score of 30.71 in 2012 and is 1/3 in 2011, which indicates that the marine ecological environment in Zhejiang province in 2012 is seriously deteriorated. By 2013, the ecological environment score is 80.69, which is improved by about 50 points compared with 2012, which indicates that the marine ecological environment in Zhejiang province is effectively improved in 2012. In 2014, the score is reduced to 37.08, and the surface ecological environment is deteriorated again;
in terms of pollution monitoring, the score in 2012 is 99.91, which is reduced by 0.9 in comparison with the score in 2011; the pollution monitoring is slightly weakened in 2011. The score in 2013 is 100.2 points, which are respectively 0.2 point and 0.29 point higher than those in the first two years; the method shows that Zhejiang province in 2013 strengthens the monitoring of marine pollution; the score in 2014 is 84.24 points, which is reduced by 15.96 points compared with 2013, and the pollution monitoring capability in 2014 in Zhejiang province is weakened;
in the aspect of disaster control, the score is 150 points in 2012, which is 50% higher than that in 2011, which indicates that the ocean disaster control capability in Zhejiang province in 2012 is greatly improved; scores in 2013 and 2014 are 50 points, which shows that the marine disaster control capability in Zhejiang province in the two years is reduced;
in the aspect of ecological protection, scores in 2012 are similar to scores in 2011, which indicates that the ecological protection level in 2011 is maintained in Zhejiang province in 2012; 155.54 points are scored in 2013, which is greatly improved in 2012 and 2011, which shows that the marine ecological protection is emphasized in Zhejiang province, and the ecological protection level is obviously improved; in 2014, the score continues to increase and is 188.85 points; it is demonstrated that Zhejiang province is superior in ecological protection, and ecological protection level is further improved.
Example 2: the total score obtained in each year according to the above calculation procedure is shown in table 4.
From table 2, it can be seen that the fluctuation of the environmental development level in zhejiang province is large, specifically, the development level in 2011 is 100, and the development level in 2012 is reduced by 2/3, which indicates that the environmental development level in zhejiang province in 2012 is reduced by 2011. And the score of 80.72 in 2013 is increased by 50 in 2012, which shows that the environmental level in Zhejiang province is remarkably increased in this year. And the score in 2014 is only 37.13, which is reduced compared with the score in 2013. From the weight, the ecological environment accounts for a large proportion and is an important factor influencing the development of the oceanic economic environment in Zhejiang province; and secondly, disaster control, ecological protection and pollution monitoring.
TABLE 4
| Year of year | Score of |
| 2011 year | 100 |
| 2012 of the year | 30.74 |
| 2013 | 80.72 |
| 2014 | 37.13 |
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The utility model provides a marine economic development environmental monitoring system based on data processing which characterized in that: the system comprises an index system construction module, an index system processing module, an index weight calculation module and a comprehensive evaluation determination module, wherein the index system construction module is used for establishing an index system for natural environment indexes which closely influence the development of marine economy; the index system processing module is used for processing indexes; and the comprehensive evaluation determination module is used for judging the comprehensive score of the ocean development level through the operation of indexes.
2. The method for monitoring the marine economic development environment based on data processing as claimed in claim 1, wherein: the method comprises the following steps:
step Z01: constructing a secondary index system according to four primary indexes of ecological environment, pollution monitoring, disaster control and ecological protection, which influence the development of marine economy;
step Z02: carrying out forward processing on the constructed secondary indexes;
step Z03: carrying out weight calculation on the index processed in the step Z02;
step Z04: and judging the development level of the gathering areas of the coastal industries according to the weight in the step Z03 and carrying out comprehensive evaluation.
3. The method for monitoring the marine economic development environment based on data processing as claimed in claim 2, characterized in that: in the step Z01, the constructing of the secondary index system according to the constructed primary index specifically includes,
a: ecological environment, two secondary indexes are established: determining the area of the right sea area and the utilization rate of the offshore area;
b: pollution monitoring, two secondary indexes are established: the number of dumping areas and the water quality of near-shore seawater;
c: disaster control, a secondary index is constructed: the number of occurrences of marine disasters and environmental accidents;
d: ecological protection, two secondary indexes are established: the number of ocean protection areas and the area ratio of the ocean protection areas;
in the step A, the first step is carried out,
in the step D, the step (c) is carried out,
4. a method for a marine economic development environment monitoring system based on data processing according to claim 2 or 3, characterized by: in the constructed secondary indexes, except that the secondary indexes in disaster control are reverse indexes, the other secondary indexes are forward indexes, and the reverse indexes are subjected to forward processing in the following mode;
wherein x isnewAs an index after reciprocal processing, xoldIs the original index.
5. The method for monitoring the marine economic development environment based on data processing as claimed in claim 2, characterized in that: in step Z03, the weight of the index is calculated by an entropy weight method, n evaluation years and m evaluation indexes are set, and the analysis steps are as follows:
step Z031: carrying out proportion conversion on the index, and converting the actual value of the index into an evaluation value;
step Z302: calculating an entropy value of the index by the evaluation value in step Z301;
step Z303: the weight of the index is calculated from the entropy value in step Z302.
6. The method for monitoring the marine economic development environment based on data processing as claimed in claim 5, wherein: in step Z031, the transformation is performed by the following formula:
wherein: x is the number ofijA value representing the jth index of year i, aijAnd (4) the index value of i years is shown.
7. The method for monitoring the marine economic development environment based on data processing as claimed in claim 5, wherein: in step Z302, the entropy value of the index is calculated by the following formula, specifically as follows:
wherein k isjRepresenting the entropy value of the j-th index.
8. The method for monitoring the marine economic development environment based on data processing as claimed in claim 5, wherein: in step Z303, the weight of the index is calculated by the following formula, specifically as follows:
wherein q isjRepresenting the weight of the jth index.
9. The method for monitoring the marine economic development environment based on data processing as claimed in claim 1, wherein: in the step Z04, a utility function evaluation model is used to perform a comprehensive evaluation on the coastal industry gathering area, and the calculation formula is as follows:
Ei＝∑qj×zij；
wherein E represents the comprehensive development index of the coastal industry gathering area in the ith year, qjThe weight representing the jth index,
zija dimensionless number representing the jth index of the ith year.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210030689.7A CN114358639A (en) | 2022-01-12 | 2022-01-12 | Marine economy development environment monitoring system based on data processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210030689.7A CN114358639A (en) | 2022-01-12 | 2022-01-12 | Marine economy development environment monitoring system based on data processing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114358639A true CN114358639A (en) | 2022-04-15 |
Family
ID=81108695
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210030689.7A Pending CN114358639A (en) | 2022-01-12 | 2022-01-12 | Marine economy development environment monitoring system based on data processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114358639A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117496682A (en) * | 2023-10-10 | 2024-02-02 | 浙江省海洋科学院 | Sea area three-dimensional layering rights item monitoring and early warning system |
-
2022
- 2022-01-12 CN CN202210030689.7A patent/CN114358639A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117496682A (en) * | 2023-10-10 | 2024-02-02 | 浙江省海洋科学院 | Sea area three-dimensional layering rights item monitoring and early warning system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| McKee et al. | Predicting bankruptcy using recursive partitioning and a realistically proportioned data set | |
| CN110990393B (en) | Big data identification method for abnormal behaviors of industry enterprise data | |
| CN113627735B (en) | Early warning method and system for engineering construction project security risk | |
| Yitzhaki et al. | Concentration indices and concentration curves | |
| CN110636066B (en) | Network security threat situation assessment method based on unsupervised generative reasoning | |
| CN102103715A (en) | Negative binomial regression-based maritime traffic accident investigation analysis and prediction method | |
| CN110276528A (en) | A power plant control system information security risk assessment system | |
| CN112330153A (en) | Non-linear orthogonal regression-based industry scale prediction model modeling method and device | |
| CN115619209A (en) | Risk assessment system for electric power construction projects integrated with revised parameter analytic hierarchy process | |
| CN114358639A (en) | Marine economy development environment monitoring system based on data processing | |
| CN115587893B (en) | Futures transaction supervision system based on internet finance | |
| CN115983622A (en) | Risk early warning method of internal control cooperative management system | |
| CN117808290A (en) | Chemical industry enterprise hoisting operation safety risk early warning model | |
| CN111680712B (en) | Transformer oil temperature prediction method, device and system based on similar time of day | |
| CN115062992A (en) | Calculation method and system of comprehensive energy system development level based on energy big data | |
| CN115063056A (en) | Improved construction behavior safety risk dynamic analysis method based on graph topology analysis | |
| CN114003638A (en) | An intelligent interconnected big data processing system | |
| CN112381422A (en) | Method and device for determining performance of photovoltaic power station | |
| CN117909200A (en) | Method, equipment and system for incremental comparison and evaluation of capability of information guarantee system | |
| CN111259531A (en) | Slope stability analysis method | |
| CN114153683B (en) | Networked software health evaluation method based on comprehensive evaluation algorithm | |
| CN113298148B (en) | An unbalanced data resampling method for ecological environment assessment | |
| CN117314871A (en) | Band steel sorting degree grading method and device based on gray level co-occurrence matrix and decision tree | |
| CN104502557A (en) | Multi-index water quality evaluation method | |
| CN118941067A (en) | Regional safety risk assessment method and system based on combined weighting |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |