CN117909697A - Ocean resource distribution and ecological environment big data monitoring management method and system - Google Patents
Ocean resource distribution and ecological environment big data monitoring management method and system Download PDFInfo
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Abstract
The invention provides a marine resource distribution and ecological environment big data monitoring management method and system, comprising the following steps: carrying out multi-point regular multi-frequency acquisition on real-time data of ocean resource distribution and ecological environment of a designated supervision area based on a sensor grid, and sequentially returning the acquired real-time data to a data analysis center based on an acquisition time sequence; analyzing the real-time data based on the data analysis center, determining the ocean resource distribution and the key change data of the ecological environment, and determining the associated change characteristics and the self change characteristics of the ocean resource distribution and the ecological environment based on the key change data; and performing multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the associated change characteristics and the self change characteristics. The method can effectively know the distribution condition of the ocean resources, effectively supervise the ocean resource development and effectively protect the ecological environment.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a marine resource distribution and ecological environment big data monitoring management method and system.
Background
At present, the marine resource distribution and ecological environment big data monitoring management is to carry out fine management and supervision on the marine resources and the ecological environment under the condition of real time or near real time, and the problems of marine resource distribution, resource excessive development, environmental pollution and the like can be timely found through real-time monitoring and analysis on the data, and corresponding measures are adopted to intervene, so that sustainable utilization of the resources and protection of the ecological environment are ensured;
However, the prior art has the problems of inaccurate monitoring of ocean resource distribution and ecological environment change, low data processing efficiency and the like, so that the distribution situation of the ocean resources cannot be effectively known, and the effective development of the ocean resources and the protection of the ecological environment are difficult to realize;
Therefore, the invention provides a marine resource distribution and ecological environment big data monitoring management method and system.
Disclosure of Invention
The invention provides a marine resource distribution and ecological environment big data monitoring management method and system, which are used for acquiring real-time data of marine resource distribution and ecological environment of a designated supervision area through a sensor grid, ensuring comprehensive reliability of the acquired real-time data, transmitting the acquired real-time data back to a data analysis center, and secondly, effectively analyzing the real-time data of the marine resource distribution and the ecological environment through the data analysis center, so as to realize accurate locking of key change data of the marine resource distribution and the ecological environment, thereby facilitating determination of relevant change characteristics and self change characteristics of the marine resource distribution and the ecological environment according to the key change data, realizing effective understanding of real-time states of the marine resource distribution and the ecological environment, and finally, performing multidimensional supervision intervention on the marine resource distribution and the ecological environment according to the relevant change characteristics and the self change characteristics, ensuring supervision accuracy of the real-time data of the marine resource distribution and the ecological environment, and improving processing efficiency of the real-time data obtained through supervision, so as to facilitate timely performing supervision on the marine resource distribution and the environment when abnormal conditions occur, achieving effective understanding of the marine resource distribution and the effective supervision and the ecological environment.
The invention provides a marine resource distribution and ecological environment big data monitoring management method, which comprises the following steps:
step 1: carrying out multi-point regular multi-frequency acquisition on real-time data of ocean resource distribution and ecological environment of a designated supervision area based on a sensor grid, and sequentially returning the acquired real-time data to a data analysis center based on an acquisition time sequence;
Step 2: analyzing the real-time data based on the data analysis center, determining the ocean resource distribution and the key change data of the ecological environment, and determining the associated change characteristics and the self change characteristics of the ocean resource distribution and the ecological environment based on the key change data;
step 3: and performing multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the associated change characteristics and the self change characteristics.
Preferably, in step 1, the method for monitoring and managing marine resource distribution and ecological environment big data performs multi-point periodic multi-frequency acquisition on the marine resource distribution of a designated supervision area and the real-time data of the ecological environment based on a sensor grid, and includes:
Acquiring an area distribution range of a designated supervision area, and uniformly meshing the designated supervision area based on a sampling point deployment requirement and the area distribution range;
Determining position information of each data acquisition point based on the uniform grid division result, and determining acquisition levels of ocean resource distribution and ecological environment based on preset supervision requirements;
Generating a sensor grid deployment guide diagram based on the position information and the acquisition hierarchy of each data acquisition point, and issuing the sensor grid deployment guide diagram to a staff terminal for deployment guide;
and carrying out multi-point and periodic multi-frequency acquisition on real-time data of the ecological environment according to the distribution of the ocean resources in the appointed supervision area based on the deployment result and the sensor grid.
Preferably, the method for monitoring and managing marine resource distribution and ecological environment big data carries out multi-point regular multi-frequency acquisition on the marine resource distribution of a specified supervision area and the real-time data of the ecological environment according to the deployment result, and comprises the following steps:
Acquiring the acquisition period of real-time data of ocean resource distribution and ecological environment, and performing periodic pulse adaptation on a clock generator based on the acquisition period;
Periodically and intermittently transmitting a data acquisition request to the sensor grid based on the periodic pulse adaptation result, and controlling each sensor in the sensor grid to acquire real-time data of ocean resource distribution and ecological environment in a multi-point and periodic manner based on the transmission result;
and attribution marking is carried out on each acquired real-time data based on the periodic time sequence information.
Preferably, in step 1, the collected real-time data is sequentially returned to the data analysis center based on the collection time sequence, which comprises the following steps:
Analyzing the acquired real-time data, determining an acquisition time sequence corresponding to each real-time data, and dividing the real-time data based on the acquisition time sequences to obtain a real-time data set at each acquisition time point;
Carrying out data association on the real-time data set, and carrying out file compression on the real-time data set based on a data association result;
And determining the return sequence of the file compressed real-time data set based on the acquisition time sequence, and returning the file compressed real-time data set to the data analysis center based on the return sequence.
Preferably, the method for monitoring and managing marine resource distribution and ecological environment big data transmits the real-time data set after file compression back to the data analysis center based on the back transmission sequence comprises the following steps:
determining a wireless communication frequency band between the relay server and the data analysis center;
Setting a power level of the relay server based on a communication distance between the relay server and the data analysis center and attenuation characteristics of the wireless signal;
And transmitting the real-time data set after file compression back to the data analysis center according to the wireless communication frequency band based on the setting result.
Preferably, in step 2, real-time data is analyzed based on a data analysis center to determine key change data of ocean resource distribution and ecological environment, including:
Preprocessing the received real-time data based on a data analysis center to obtain effective real-time data, and arranging the effective real-time data in time sequence;
determining supervision indexes of ocean resource types and ecological environments, and performing category mapping on effective real-time data after time sequence arrangement to obtain N groups of data analysis groups;
Performing order comparison on the category mapped ocean resource types and N groups of data analysis groups of the ecological environment based on the time span according to the supervision indexes, and performing data statistics on difference data after the order comparison based on analysis dimensions;
And obtaining the key change data of the ocean resource distribution and the ecological environment based on the data statistics result.
Preferably, in step 2, determining relevant change characteristics and self change characteristics of the marine resource distribution and the ecological environment based on the key change data, including:
Indifferently copying key change data of ocean resource distribution and ecological environment to obtain an experimental data set and a control data set, and inputting the experimental data set into a computer for analog simulation;
generating a visual scatter diagram of the experimental data set based on the simulation result, and determining ocean resource distribution and parameter change trends of the ecological environment in different dimensions in a monitoring period based on the visual scatter diagram;
Obtaining ocean resource distribution and self-variation characteristics of the ecological environment based on the parameter change trend, and performing linear fitting on the ocean resource distribution and the self-variation characteristics of the ecological environment to obtain a correlation factor set of the ocean resource distribution and the ecological environment;
Performing multi-frequency state adjustment on the association factor set based on a computer, and recording the category change characteristics of key change data of ocean resource distribution relative to the ecological environment after each state adjustment and the change threshold corresponding to the category change characteristics;
And determining dynamic change characteristics of key change data of ocean resource distribution relative to the ecological environment based on the category change characteristics and change thresholds corresponding to the category change characteristics at each time, and correcting the dynamic change characteristics based on the comparison data set to obtain the ocean resource distribution and the associated change characteristics of the ecological environment.
Preferably, in step 3, multidimensional supervision and intervention are performed on the marine resource distribution and the ecological environment based on the associated change characteristics and the self change characteristics, including:
Determining abnormal supervision indexes existing in marine resource distribution and ecological environment based on the associated change characteristics and the self change characteristics, and traversing supervision intervention measures in a supervision intervention library based on the abnormal supervision indexes;
And determining the supervision intervention measures corresponding to each supervision index based on the traversal result, and performing synchronous multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the supervision intervention measures.
Preferably, the method for monitoring and managing the marine resource distribution and the ecological environment big data carries out synchronous multidimensional monitoring and intervention on the marine resource distribution and the ecological environment based on monitoring and intervention measures, and comprises the following steps:
Progress monitoring is carried out on the marine resource distribution and the synchronous multidimensional supervision intervention process of the ecological environment, and an allowable recovery period of the marine resource distribution and the ecological environment is determined when the synchronous multidimensional supervision intervention is determined to be completed based on the progress monitoring result;
rechecking the real-time data of the ocean resource distribution and the ecological environment based on the allowable recovery period, and determining the intervention effect on abnormal supervision indexes existing in the ocean resource distribution and the ecological environment based on the rechecking result;
And when the intervention effect meets the expected requirement index, carrying out association packaging on the abnormal supervision index and the determined supervision intervention measure, and constructing a supervision intervention strategy library based on the association packaging.
The invention provides a marine resource distribution and ecological environment big data monitoring management system, which comprises:
The data acquisition module is used for carrying out multi-point regular multi-frequency acquisition on the real-time data of the ocean resource distribution and the ecological environment of the appointed supervision area based on the sensor grid, and sequentially transmitting the acquired real-time data back to the data analysis center based on the acquisition time sequence;
The change characteristic determining module is used for analyzing the real-time data based on the data analysis center, determining the ocean resource distribution and the key change data of the ecological environment, and determining the associated change characteristics and the self change characteristics of the ocean resource distribution and the ecological environment based on the key change data;
And the supervision intervention module is used for performing multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the association change characteristics and the self change characteristics.
Compared with the prior art, the invention has the following beneficial effects:
1. The real-time data of the ocean resource distribution and the ecological environment of the appointed supervision area are collected through the sensor grid, comprehensive reliability of the obtained real-time data is guaranteed, the collected real-time data are transmitted back to the data analysis center, the real-time data of the ocean resource distribution and the ecological environment are effectively analyzed through the data analysis center, key change data of the ocean resource distribution and the ecological environment are accurately locked, accordingly, the association change characteristics of the ocean resource distribution and the ecological environment and the self change characteristics are conveniently determined according to the key change data, effective understanding of the real-time state of the ocean resource distribution and the ecological environment is achieved, finally multidimensional supervision intervention is conducted on the ocean resource distribution and the ecological environment according to the association change characteristics and the self change characteristics, accuracy of the real-time data of the ocean resource distribution and the ecological environment is guaranteed, processing efficiency of the real-time data obtained through supervision is improved, and accordingly, when the ocean resource distribution and the ecological environment are abnormal, effective understanding of ocean resource distribution conditions and effective supervision and protection of ecological environment are achieved.
2. The experimental data set and the control data set are constructed by indiscriminately copying the obtained ocean resource distribution and the key change data of the ecological environment, and the experimental data set is simulated by a computer, so that the ocean resource distribution and the key change data of the ecological environment are conveniently and accurately and effectively analyzed, a visual scatter diagram is generated by the computer according to the experimental data set, the visual scatter diagram is analyzed, the accurate and effective determination of the ocean resource distribution and the self change characteristics of the ecological environment is realized, finally, the linear fitting of the ocean resource distribution and the self change characteristics of the ecological environment is realized, the locking of the associated factor sets of the ocean resource distribution and the ecological environment is realized, the parameter adjustment of different degrees is carried out on the associated factor sets by the computer, the category change characteristics and the change threshold corresponding to the category change characteristics of the key change data of the ocean resource distribution are determined according to the adjustment result, the accurate and effective analysis of the associated change characteristics is realized according to the category change characteristics and the change threshold corresponding to the category change characteristics, the accurate and the real-time supervision of the ocean resource distribution and the ecological environment is realized, and the real-time supervision of the ocean resource distribution and the ecological environment is effectively monitored.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objects and other advantages of the application may be realized and obtained by means of the instrumentalities particularly pointed out in the specification.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flowchart of a method for monitoring and managing marine resource distribution and ecological environment big data in an embodiment of the invention;
FIG. 2 is a flowchart of step 1 in a method for monitoring and managing marine resource distribution and ecological environment big data in an embodiment of the invention;
fig. 3 is a block diagram of a marine resource distribution and ecological environment big data monitoring management system in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
The embodiment provides a marine resource distribution and ecological environment big data monitoring management method, as shown in fig. 1, comprising the following steps:
step 1: carrying out multi-point regular multi-frequency acquisition on real-time data of ocean resource distribution and ecological environment of a designated supervision area based on a sensor grid, and sequentially returning the acquired real-time data to a data analysis center based on an acquisition time sequence;
Step 2: analyzing the real-time data based on the data analysis center, determining the ocean resource distribution and the key change data of the ecological environment, and determining the associated change characteristics and the self change characteristics of the ocean resource distribution and the ecological environment based on the key change data;
step 3: and performing multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the associated change characteristics and the self change characteristics.
In this embodiment, the sensor grid is determined based on characteristics (size, shape, etc.) of the designated regulatory domain in order to ensure an overall and efficient data acquisition of the designated regulatory domain.
In this embodiment, the designated supervision area is known in advance, i.e. the marine area that needs to be monitored and managed and the corresponding ecological environment area.
In this embodiment, the real-time data refers to real-time running conditions corresponding to the marine resource distribution and the ecological environment at different moments, so as to effectively know real-time states of the marine resource distribution and the ecological environment in real time, thereby facilitating supervision and intervention when an abnormality occurs.
In this embodiment, the multi-point periodic multi-frequency acquisition refers to periodic and multi-time acquisition of real-time data corresponding to different monitoring points in a designated monitoring area through a sensor grid, so as to ensure that the obtained marine resource distribution and the real-time data of the ecological environment are comprehensive and effective, and also facilitate real-time understanding of the change conditions of the marine resource distribution and the ecological environment.
In this embodiment, the acquisition time series refers to the acquisition time of real-time data of marine resource distribution and ecological environment.
In this embodiment, the key change data refers to the change of the real-time data of the marine resource distribution and the ecological environment at different time points relative to the previous time point.
In this embodiment, the association change feature refers to an interaction relationship between the ecological environment and the marine resource distribution, that is, an influence condition of the change of the ecological environment on the marine resource distribution.
In this embodiment, the self-variation characteristic refers to the change of the real-time data of the marine resource distribution and the ecological environment with time.
In this embodiment, multidimensional supervisory intervention refers to intervention from a number of different angles when it is determined from the associated change characteristics and the self-change characteristics that intervention on marine resource distribution and ecological environment is required.
The beneficial effects of the technical scheme are as follows: the real-time data of the ocean resource distribution and the ecological environment of the appointed supervision area are collected through the sensor grid, comprehensive reliability of the obtained real-time data is guaranteed, the collected real-time data are transmitted back to the data analysis center, the real-time data of the ocean resource distribution and the ecological environment are effectively analyzed through the data analysis center, key change data of the ocean resource distribution and the ecological environment are accurately locked, accordingly, the association change characteristics of the ocean resource distribution and the ecological environment and the self change characteristics are conveniently determined according to the key change data, effective understanding of the real-time state of the ocean resource distribution and the ecological environment is achieved, finally multidimensional supervision intervention is conducted on the ocean resource distribution and the ecological environment according to the association change characteristics and the self change characteristics, accuracy of the real-time data of the ocean resource distribution and the ecological environment is guaranteed, processing efficiency of the real-time data obtained through supervision is improved, and accordingly, when the ocean resource distribution and the ecological environment are abnormal, effective understanding of ocean resource distribution conditions and effective supervision and protection of ecological environment are achieved.
Example 2:
On the basis of embodiment 1, the present embodiment provides a method for monitoring and managing marine resource distribution and ecological environment big data, as shown in fig. 2, in step 1, the method performs multi-point periodic multi-frequency acquisition on real-time data of marine resource distribution and ecological environment of a designated supervision area based on a sensor grid, including:
step 101: acquiring an area distribution range of a designated supervision area, and uniformly meshing the designated supervision area based on a sampling point deployment requirement and the area distribution range;
step 102: determining position information of each data acquisition point based on the uniform grid division result, and determining acquisition levels of ocean resource distribution and ecological environment based on preset supervision requirements;
step 103: generating a sensor grid deployment guide diagram based on the position information and the acquisition hierarchy of each data acquisition point, and issuing the sensor grid deployment guide diagram to a staff terminal for deployment guide;
Step 104: and carrying out multi-point and periodic multi-frequency acquisition on real-time data of the ecological environment according to the distribution of the ocean resources in the appointed supervision area based on the deployment result and the sensor grid.
In this embodiment, the area distribution range refers to the area occupied by the specified regulatory region in order to determine the sensor grid from the area distribution range.
In this embodiment, the sampling point deployment requirements are set in advance, and are used to characterize the spacing distance between sampling points, the number of sampling points, and the like.
In this embodiment, the preset regulatory requirements are known in advance for characterizing the distribution of marine resources and the acquisition hierarchy of the ecological environment, wherein the acquisition hierarchy comprises the resource distribution conditions for different depths in the ocean and the environmental information for different dimensions in the ecological environment.
In this embodiment, the sensor grid deployment guidance map is generated according to the position information and the acquisition hierarchy of each data acquisition point, and is used for guiding the deployment position of the sensor by the staff.
The beneficial effects of the technical scheme are as follows: the method comprises the steps of determining the area distribution range of a specified supervision area, carrying out uniform grid division on the specified supervision area according to the sampling point deployment requirement and the area distribution range, and then carrying out effective determination on a sensor grid deployment guide map according to the uniform grid division result and the preset supervision requirement, so that workers can effectively deploy the sensor according to the sensor grid deployment guide map, and finally, carrying out multi-point regular multi-frequency acquisition on real-time data of ocean resource distribution and ecological environment of the specified supervision area through the deployed sensor grid, thereby being convenient for carrying out real-time effective supervision on the ocean resource distribution and the ecological environment.
Example 3:
On the basis of embodiment 2, the embodiment provides a marine resource distribution and ecological environment big data monitoring management method, which performs multipoint regular multi-frequency acquisition on the marine resource distribution of a specified supervision area and the real-time data of the ecological environment according to a sensor grid based on a deployment result, and comprises the following steps:
Acquiring the acquisition period of real-time data of ocean resource distribution and ecological environment, and performing periodic pulse adaptation on a clock generator based on the acquisition period;
Periodically and intermittently transmitting a data acquisition request to the sensor grid based on the periodic pulse adaptation result, and controlling each sensor in the sensor grid to acquire real-time data of ocean resource distribution and ecological environment in a multi-point and periodic manner based on the transmission result;
and attribution marking is carried out on each acquired real-time data based on the periodic time sequence information.
The beneficial effects of the technical scheme are as follows: the clock generator is subjected to periodic pulse adaptation according to the acquisition period, so that corresponding trigger signals are conveniently and periodically generated, the sensor grid is controlled to periodically acquire real-time data of marine resource distribution and ecological environment according to the pulse adaptation result, the validity of the acquired real-time data is ensured, finally, the acquired real-time data is subjected to attribution marking, the real-time data is conveniently analyzed by a subsequent data analysis center, and reliable data support is provided for determining the real-time conditions of marine resource distribution and ecological environment.
Example 4:
on the basis of embodiment 1, the present embodiment provides a method for monitoring and managing marine resource distribution and ecological environment big data, in step 1, collected real-time data is sequentially returned to a data analysis center based on a collection time sequence, including:
Analyzing the acquired real-time data, determining an acquisition time sequence corresponding to each real-time data, and dividing the real-time data based on the acquisition time sequences to obtain a real-time data set at each acquisition time point;
Carrying out data association on the real-time data set, and carrying out file compression on the real-time data set based on a data association result;
And determining the return sequence of the file compressed real-time data set based on the acquisition time sequence, and returning the file compressed real-time data set to the data analysis center based on the return sequence.
The beneficial effects of the technical scheme are as follows: the obtained real-time data are subjected to frequency division, so that the real-time data of each data acquisition point corresponding to each acquisition time point are effectively distinguished, and secondly, the real-time data groups obtained by frequency division are associated and compressed, so that the acquired real-time data are conveniently transmitted back to a data analysis center for analysis, the real-time state of ocean resource distribution and ecological environment is effectively determined, the accuracy of ocean resource distribution and ecological environment monitoring is guaranteed, and the processing timeliness of the monitoring data is improved.
Example 5:
on the basis of embodiment 4, the present embodiment provides a marine resource distribution and ecological environment big data monitoring management method, which transmits a real-time data set after file compression back to a data analysis center based on a back transmission sequence, and includes:
determining a wireless communication frequency band between the relay server and the data analysis center;
Setting a power level of the relay server based on a communication distance between the relay server and the data analysis center and attenuation characteristics of the wireless signal;
And transmitting the real-time data set after file compression back to the data analysis center according to the wireless communication frequency band based on the setting result.
In this embodiment, the specific steps implemented include:
acquiring a wireless communication frequency band set between a relay server and a data analysis center, and determining an interference attribute on wireless communication based on communication requirements and a communication environment;
Selecting a target wireless communication frequency band from the wireless communication frequency band set based on the interference attribute, and setting the power level of the relay server based on the communication distance between the relay server and the data analysis center and the attenuation characteristic of the wireless signal;
And based on the setting result, the relay server transmits the real-time data set after file compression back to the data analysis center according to the target wireless communication frequency band.
The beneficial effects of the technical scheme are as follows: the wireless communication frequency band is configured for the relay server, and the power of the relay server is set according to the communication distance between the relay server and the data analysis center and the attenuation characteristic of the wireless signal, so that the reliability and timeliness of the acquired real-time data to the data analysis center through the relay server are ensured, the real-time state of the marine resource distribution and the ecological environment is conveniently determined, and the supervision and intervention operation is conveniently carried out in time when the abnormality occurs.
Example 6:
on the basis of embodiment 1, the present embodiment provides a method for monitoring and managing marine resource distribution and ecological environment big data, in step 2, real-time data is analyzed based on a data analysis center, and key change data of the marine resource distribution and the ecological environment are determined, including:
Preprocessing the received real-time data based on a data analysis center to obtain effective real-time data, and arranging the effective real-time data in time sequence;
determining supervision indexes of ocean resource types and ecological environments, and performing category mapping on effective real-time data after time sequence arrangement to obtain N groups of data analysis groups;
Performing order comparison on the category mapped ocean resource types and N groups of data analysis groups of the ecological environment based on the time span according to the supervision indexes, and performing data statistics on difference data after the order comparison based on analysis dimensions;
And obtaining the key change data of the ocean resource distribution and the ecological environment based on the data statistics result.
The beneficial effects of the technical scheme are as follows: the real-time data after pretreatment is subjected to pretreatment and analyzed according to the supervision indexes of the ocean resource types and the ecological environment, so that the key change data of the ocean resource distribution and the ecological environment at different moments are accurately and effectively determined, convenience is provided for determining the change characteristics of the ocean resource distribution and the ecological environment, and the effectiveness and reliability of supervision of the ocean resource distribution and the ecological environment are ensured.
Example 7:
On the basis of embodiment 1, the present embodiment provides a method for monitoring and managing marine resource distribution and ecological environment big data, in step 2, determining, based on key change data, relevant change characteristics and self change characteristics of the marine resource distribution and the ecological environment, including:
Indifferently copying key change data of ocean resource distribution and ecological environment to obtain an experimental data set and a control data set, and inputting the experimental data set into a computer for analog simulation;
generating a visual scatter diagram of the experimental data set based on the simulation result, and determining ocean resource distribution and parameter change trends of the ecological environment in different dimensions in a monitoring period based on the visual scatter diagram;
Obtaining ocean resource distribution and self-variation characteristics of the ecological environment based on the parameter change trend, and performing linear fitting on the ocean resource distribution and the self-variation characteristics of the ecological environment to obtain a correlation factor set of the ocean resource distribution and the ecological environment;
Performing multi-frequency state adjustment on the association factor set based on a computer, and recording the category change characteristics of key change data of ocean resource distribution relative to the ecological environment after each state adjustment and the change threshold corresponding to the category change characteristics;
And determining dynamic change characteristics of key change data of ocean resource distribution relative to the ecological environment based on the category change characteristics and change thresholds corresponding to the category change characteristics at each time, and correcting the dynamic change characteristics based on the comparison data set to obtain the ocean resource distribution and the associated change characteristics of the ecological environment.
The beneficial effects of the technical scheme are as follows: the experimental data set and the control data set are constructed by indiscriminately copying the obtained ocean resource distribution and the key change data of the ecological environment, and the experimental data set is simulated by a computer, so that the ocean resource distribution and the key change data of the ecological environment are conveniently and accurately and effectively analyzed, a visual scatter diagram is generated by the computer according to the experimental data set, the visual scatter diagram is analyzed, the accurate and effective determination of the ocean resource distribution and the self change characteristics of the ecological environment is realized, finally, the linear fitting of the ocean resource distribution and the self change characteristics of the ecological environment is realized, the locking of the associated factor sets of the ocean resource distribution and the ecological environment is realized, the parameter adjustment of different degrees is carried out on the associated factor sets by the computer, the category change characteristics and the change threshold corresponding to the category change characteristics of the key change data of the ocean resource distribution are determined according to the adjustment result, the accurate and effective analysis of the associated change characteristics is realized according to the category change characteristics and the change threshold corresponding to the category change characteristics, the accurate and the real-time supervision of the ocean resource distribution and the ecological environment is realized, and the real-time supervision of the ocean resource distribution and the ecological environment is effectively monitored.
Example 8:
On the basis of embodiment 1, the embodiment provides a method for monitoring and managing marine resource distribution and ecological environment big data, in step 3, multidimensional supervision and intervention are performed on marine resource distribution and ecological environment based on association change characteristics and self change characteristics, and the method comprises the following steps:
Determining abnormal supervision indexes existing in marine resource distribution and ecological environment based on the associated change characteristics and the self change characteristics, and traversing supervision intervention measures in a supervision intervention library based on the abnormal supervision indexes;
And determining the supervision intervention measures corresponding to each supervision index based on the traversal result, and performing synchronous multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the supervision intervention measures.
The beneficial effects of the technical scheme are as follows: abnormal supervision indexes of the ocean resource distribution and the ecological environment are determined through the association change characteristics and the self change characteristics, corresponding supervision intervention measures are matched from a supervision intervention library according to the determined abnormal supervision indexes, synchronous multidimensional supervision intervention on the ocean resource distribution and the ecological environment according to the supervision intervention measures is realized, timeliness and effectiveness of the ocean resource distribution and the ecological environment supervision intervention are guaranteed, and effective understanding of the ocean resource distribution condition and effective supervision on ocean resource development and protection of the ecological environment are achieved.
Example 9:
On the basis of embodiment 8, the embodiment provides a marine resource distribution and ecological environment big data monitoring management method, which performs synchronous multidimensional monitoring intervention on marine resource distribution and ecological environment based on monitoring intervention measures, and comprises the following steps:
Progress monitoring is carried out on the marine resource distribution and the synchronous multidimensional supervision intervention process of the ecological environment, and an allowable recovery period of the marine resource distribution and the ecological environment is determined when the synchronous multidimensional supervision intervention is determined to be completed based on the progress monitoring result;
rechecking the real-time data of the ocean resource distribution and the ecological environment based on the allowable recovery period, and determining the intervention effect on abnormal supervision indexes existing in the ocean resource distribution and the ecological environment based on the rechecking result;
And when the intervention effect meets the expected requirement index, carrying out association packaging on the abnormal supervision index and the determined supervision intervention measure, and constructing a supervision intervention strategy library based on the association packaging.
The beneficial effects of the technical scheme are as follows: by monitoring the progress of the synchronous multidimensional supervision intervention process of the marine resource distribution and the ecological environment, the real-time data of the marine resource distribution and the ecological environment are rechecked after the supervision intervention is finished, the supervision intervention effect of the supervision intervention is conveniently determined, the intervention effect is accurately and effectively evaluated according to the rechecked result, and when the intervention effect meets the expected requirement index, a supervision intervention strategy library is constructed according to the abnormal supervision index and the determined supervision intervention, so that when the same abnormal supervision index appears again, the corresponding supervision intervention is quickly invoked to carry out supervision, and the effective supervision of marine resource development and the effective protection of the ecological environment are achieved.
Example 10:
the embodiment provides a marine resource distribution and ecological environment big data monitoring management system, as shown in fig. 3, including:
The data acquisition module is used for carrying out multi-point regular multi-frequency acquisition on the real-time data of the ocean resource distribution and the ecological environment of the appointed supervision area based on the sensor grid, and sequentially transmitting the acquired real-time data back to the data analysis center based on the acquisition time sequence;
The change characteristic determining module is used for analyzing the real-time data based on the data analysis center, determining the ocean resource distribution and the key change data of the ecological environment, and determining the associated change characteristics and the self change characteristics of the ocean resource distribution and the ecological environment based on the key change data;
And the supervision intervention module is used for performing multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the association change characteristics and the self change characteristics.
The beneficial effects of the technical scheme are as follows: the real-time data of the ocean resource distribution and the ecological environment of the appointed supervision area are collected through the sensor grid, comprehensive reliability of the obtained real-time data is guaranteed, the collected real-time data are transmitted back to the data analysis center, the real-time data of the ocean resource distribution and the ecological environment are effectively analyzed through the data analysis center, key change data of the ocean resource distribution and the ecological environment are accurately locked, accordingly, the association change characteristics of the ocean resource distribution and the ecological environment and the self change characteristics are conveniently determined according to the key change data, effective understanding of the real-time state of the ocean resource distribution and the ecological environment is achieved, finally multidimensional supervision intervention is conducted on the ocean resource distribution and the ecological environment according to the association change characteristics and the self change characteristics, accuracy of the real-time data of the ocean resource distribution and the ecological environment is guaranteed, processing efficiency of the real-time data obtained through supervision is improved, and accordingly, when the ocean resource distribution and the ecological environment are abnormal, effective understanding of ocean resource distribution conditions and effective supervision and protection of ecological environment are achieved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A marine resource distribution and ecological environment big data monitoring management method is characterized by comprising the following steps: step 1: carrying out multi-point regular multi-frequency acquisition on real-time data of ocean resource distribution and ecological environment of a designated supervision area based on a sensor grid, and sequentially returning the acquired real-time data to a data analysis center based on an acquisition time sequence; step 2: analyzing the real-time data based on the data analysis center, determining the ocean resource distribution and the key change data of the ecological environment, and determining the associated change characteristics and the self change characteristics of the ocean resource distribution and the ecological environment based on the key change data; step 3: and performing multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the associated change characteristics and the self change characteristics.
2. The marine resource distribution and ecological environment big data monitoring and management method according to claim 1, wherein in step 1, the multi-point periodic multi-frequency acquisition is performed on the marine resource distribution of the designated supervision area and the real-time data of the ecological environment based on the sensor grid, and the method comprises the following steps: acquiring an area distribution range of a designated supervision area, and uniformly meshing the designated supervision area based on a sampling point deployment requirement and the area distribution range; determining position information of each data acquisition point based on the uniform grid division result, and determining acquisition levels of ocean resource distribution and ecological environment based on preset supervision requirements; generating a sensor grid deployment guide diagram based on the position information and the acquisition hierarchy of each data acquisition point, and issuing the sensor grid deployment guide diagram to a staff terminal for deployment guide; and carrying out multi-point and periodic multi-frequency acquisition on real-time data of the ecological environment according to the distribution of the ocean resources in the appointed supervision area based on the deployment result and the sensor grid.
3. The marine resource distribution and ecological environment big data monitoring and management method according to claim 2, wherein the multi-point regular multi-frequency acquisition of the marine resource distribution of the designated supervision area and the real-time data of the ecological environment is performed according to the sensor grid based on the deployment result, comprising: acquiring the acquisition period of real-time data of ocean resource distribution and ecological environment, and performing periodic pulse adaptation on a clock generator based on the acquisition period; periodically and intermittently transmitting a data acquisition request to the sensor grid based on the periodic pulse adaptation result, and controlling each sensor in the sensor grid to acquire real-time data of ocean resource distribution and ecological environment in a multi-point and periodic manner based on the transmission result; and attribution marking is carried out on each acquired real-time data based on the periodic time sequence information.
4. The marine resource distribution and ecological environment big data monitoring and management method according to claim 1, wherein in step 1, collected real-time data is sequentially transmitted back to a data analysis center based on a collection time sequence, and the method comprises the following steps: analyzing the acquired real-time data, determining an acquisition time sequence corresponding to each real-time data, and dividing the real-time data based on the acquisition time sequences to obtain a real-time data set at each acquisition time point; carrying out data association on the real-time data set, and carrying out file compression on the real-time data set based on a data association result; and determining the return sequence of the file compressed real-time data set based on the acquisition time sequence, and returning the file compressed real-time data set to the data analysis center based on the return sequence.
5. The method for monitoring and managing marine resource distribution and ecological environment big data according to claim 4, wherein the step of transmitting the real-time data set after file compression back to the data analysis center based on the transmission back sequence comprises the steps of: determining a wireless communication frequency band between the relay server and the data analysis center; setting a power level of the relay server based on a communication distance between the relay server and the data analysis center and attenuation characteristics of the wireless signal; and transmitting the real-time data set after file compression back to the data analysis center according to the wireless communication frequency band based on the setting result.
6. The method for monitoring and managing marine resource distribution and ecological environment big data according to claim 1, wherein in step 2, real-time data is analyzed based on a data analysis center, and key change data of marine resource distribution and ecological environment is determined, comprising: preprocessing the received real-time data based on a data analysis center to obtain effective real-time data, and arranging the effective real-time data in time sequence; determining supervision indexes of ocean resource types and ecological environments, and performing category mapping on effective real-time data after time sequence arrangement to obtain N groups of data analysis groups; performing order comparison on the category mapped ocean resource types and N groups of data analysis groups of the ecological environment based on the time span according to the supervision indexes, and performing data statistics on difference data after the order comparison based on analysis dimensions; and obtaining the key change data of the ocean resource distribution and the ecological environment based on the data statistics result.
7. The method for monitoring and managing marine resource distribution and ecological environment big data according to claim 1, wherein in step 2, the determining of the associated change characteristics and the self change characteristics of the marine resource distribution and the ecological environment based on the key change data includes: indifferently copying key change data of ocean resource distribution and ecological environment to obtain an experimental data set and a control data set, and inputting the experimental data set into a computer for analog simulation; generating a visual scatter diagram of the experimental data set based on the simulation result, and determining ocean resource distribution and parameter change trends of the ecological environment in different dimensions in a monitoring period based on the visual scatter diagram; obtaining ocean resource distribution and self-variation characteristics of the ecological environment based on the parameter change trend, and performing linear fitting on the ocean resource distribution and the self-variation characteristics of the ecological environment to obtain a correlation factor set of the ocean resource distribution and the ecological environment; performing multi-frequency state adjustment on the association factor set based on a computer, and recording the category change characteristics of key change data of ocean resource distribution relative to the ecological environment after each state adjustment and the change threshold corresponding to the category change characteristics; and determining dynamic change characteristics of key change data of ocean resource distribution relative to the ecological environment based on the category change characteristics and change thresholds corresponding to the category change characteristics at each time, and correcting the dynamic change characteristics based on the comparison data set to obtain the ocean resource distribution and the associated change characteristics of the ecological environment.
8. The method for monitoring and managing marine resource distribution and ecological environment big data according to claim 1, wherein in step 3, multidimensional supervision intervention is performed on marine resource distribution and ecological environment based on the associated change characteristics and self-change characteristics, comprising: determining abnormal supervision indexes existing in marine resource distribution and ecological environment based on the associated change characteristics and the self change characteristics, and traversing supervision intervention measures in a supervision intervention library based on the abnormal supervision indexes; and determining the supervision intervention measures corresponding to each supervision index based on the traversal result, and performing synchronous multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the supervision intervention measures.
9. The marine resource distribution and ecological environment big data monitoring and management method according to claim 8, wherein the synchronous multidimensional monitoring and intervention is performed on the marine resource distribution and the ecological environment based on the monitoring and intervention measures, and the method comprises the following steps: progress monitoring is carried out on the marine resource distribution and the synchronous multidimensional supervision intervention process of the ecological environment, and an allowable recovery period of the marine resource distribution and the ecological environment is determined when the synchronous multidimensional supervision intervention is determined to be completed based on the progress monitoring result; rechecking the real-time data of the ocean resource distribution and the ecological environment based on the allowable recovery period, and determining the intervention effect on abnormal supervision indexes existing in the ocean resource distribution and the ecological environment based on the rechecking result; and when the intervention effect meets the expected requirement index, carrying out association packaging on the abnormal supervision index and the determined supervision intervention measure, and constructing a supervision intervention strategy library based on the association packaging.
10. The marine resource distribution and ecological environment big data monitoring management system is characterized by comprising: the data acquisition module is used for carrying out multi-point regular multi-frequency acquisition on the real-time data of the ocean resource distribution and the ecological environment of the appointed supervision area based on the sensor grid, and sequentially transmitting the acquired real-time data back to the data analysis center based on the acquisition time sequence; the change characteristic determining module is used for analyzing the real-time data based on the data analysis center, determining the ocean resource distribution and the key change data of the ecological environment, and determining the associated change characteristics and the self change characteristics of the ocean resource distribution and the ecological environment based on the key change data; and the supervision intervention module is used for performing multidimensional supervision intervention on the ocean resource distribution and the ecological environment based on the association change characteristics and the self change characteristics.
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