CN112950056A - Ecological environment intelligent monitoring analysis method based on big data and cloud platform system - Google Patents

Ecological environment intelligent monitoring analysis method based on big data and cloud platform system Download PDF

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CN112950056A
CN112950056A CN202110306182.5A CN202110306182A CN112950056A CN 112950056 A CN112950056 A CN 112950056A CN 202110306182 A CN202110306182 A CN 202110306182A CN 112950056 A CN112950056 A CN 112950056A
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张治�
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Abstract

The invention relates to the technical field of big data and artificial intelligence, in particular to an ecological environment intelligent monitoring and analyzing method based on big data and a cloud platform system. The method and the device for acquiring the visual information of the water quality in the construction period and the visual information of the water quality in the waiting period recorded in the data acquisition and recording software can acquire the visual blank data area in the data acquisition and recording software through the visual information of the water quality in the waiting period, can acquire the visual site subarea in the data acquisition and recording software through the visual information of the water quality in the waiting period, and can match the visual information of the water quality in the waiting period with the association failure to the corresponding visual site subarea, so that the accuracy of the visual blank data area and the visual site subarea in the acquired data acquisition and recording software is improved, and the subsequent data sorting is conveniently carried out on the visual information of the water quality.

Description

Ecological environment intelligent monitoring analysis method based on big data and cloud platform system
Technical Field
The invention relates to the technical field of big data and artificial intelligence, in particular to an ecological environment intelligent monitoring and analyzing method based on big data and a cloud platform system.
Background
For the ecological environment department, in order to support the environment management decision-making requirement, the centralized and visualized expression of ecological environment data is a rigid business requirement. The visualized blank data area and the visualized station subarea in the data acquisition and recording software obtained by statistics in the prior art are not accurate.
Disclosure of Invention
In order to overcome at least the above disadvantages in the prior art, the present invention provides an ecological environment intelligent monitoring and analyzing method based on big data and a cloud platform system, can obtain the visualized water quality information in the construction period and the visualized water quality information in the waiting period recorded in the data acquisition and recording software, the visual blank data area in the data acquisition recording software can be obtained through the visual information of the water quality in the waiting period, the visualized water quality information in the construction period can be obtained to the visualized station subarea in the data acquisition and recording software, for the water quality visualization information of the waiting period with failed association, the water quality visualization information can also be matched with the corresponding visualization station subarea, therefore, the accuracy of the visual blank data area and the visual site area in the acquired data acquisition and recording software is improved, and the subsequent data sorting is conveniently carried out on the water quality visual information.
In a first aspect, the present invention provides an intelligent monitoring and analyzing method for ecological environment based on big data, which is applied to an ecological environment monitoring server, wherein the ecological environment monitoring server is in communication connection with a plurality of data acquisition devices, and the method includes:
acquiring construction-period water quality visualization information and waiting-period water quality visualization information recorded in data acquisition and recording software, determining the waiting-period water quality visualization information recorded in the data acquisition and recording software as station waiting-period water quality visualization information, and determining the construction-period water quality visualization information recorded in the data acquisition and recording software as station construction-period water quality visualization information; the water quality standard-reaching characteristic of the station in the waiting period in the water quality visualization information is obtained from a target collection water quality standard-reaching characteristic aiming at the data collection recording software, wherein the water quality visualization information in the construction period and the water quality visualization information in the waiting period are state data acquired based on a preset collection strategy;
acquiring construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics, and determining the correlation degree of the water quality standard-reaching characteristics between the construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics and the construction-period water quality standard-reaching characteristics in the station construction-period water quality visualization information as the joint confidence coefficient between the station waiting-period water quality visualization information and the station construction-period water quality visualization information;
when the connection confidence coefficient is greater than or equal to a connection confidence coefficient threshold value, correlating the station waiting-period water quality visualization information with the station construction-period water quality visualization information to obtain correlated water quality visualization information, determining the waiting-period water quality visualization information with failed correlation as candidate waiting-period water quality visualization information, and determining a visualization station partition matched with the candidate waiting-period water quality visualization information according to the water quality visualization information matching degree between the waiting-period water quality visualization information in the correlated water quality visualization information and the candidate waiting-period water quality visualization information;
and associating the visual site subarea matched with the visual information of the candidate waiting-period water quality to obtain visual subarea associated information, determining a visual blank data area in the data acquisition and recording software and a visual site subarea corresponding to the visual blank data area according to the visual subarea associated information and the associated water quality visual information, and filling visual data according to the visual blank data area in the data acquisition and recording software and the visual site subarea corresponding to the visual blank data area.
In a second aspect, an embodiment of the present invention further provides an intelligent monitoring and analyzing device for an ecological environment based on big data, which is applied to an ecological environment monitoring server, where the ecological environment monitoring server is in communication connection with a plurality of data acquisition devices, and the device includes:
the acquisition module is used for acquiring construction period water quality visualization information and waiting period water quality visualization information recorded in data acquisition and recording software, determining the waiting period water quality visualization information recorded in the data acquisition and recording software as station waiting period water quality visualization information, and determining the construction period water quality visualization information recorded in the data acquisition and recording software as station construction period water quality visualization information; the water quality standard-reaching characteristic of the station in the waiting period in the water quality visualization information is obtained from a target collection water quality standard-reaching characteristic aiming at the data collection recording software, wherein the water quality visualization information in the construction period and the water quality visualization information in the waiting period are state data acquired based on a preset collection strategy;
the first determination module is used for acquiring construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics, and determining the correlation degree of the water quality standard-reaching characteristics between the construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics and the construction-period water quality standard-reaching characteristics in the station construction-period water quality visualization information as the connection confidence coefficient between the station waiting-period water quality visualization information and the station construction-period water quality visualization information;
the second determination module is used for associating the station waiting-period water quality visualization information with the station construction-period water quality visualization information to obtain associated water quality visualization information when the engagement confidence is greater than or equal to an engagement confidence threshold, determining the waiting-period water quality visualization information with failed association as candidate waiting-period water quality visualization information, and determining a visualization station partition matched with the candidate waiting-period water quality visualization information according to the water quality visualization information matching degree between the waiting-period water quality visualization information in the associated water quality visualization information and the candidate waiting-period water quality visualization information;
the filling module is used for correlating the visual station subareas matched with the visual information of the candidate waiting-period water quality to obtain visual subarea correlation information, determining the visual blank data area in the data acquisition and recording software and the visual station subarea corresponding to the visual blank data area according to the visual subarea correlation information and the visual information of the correlated water quality, and filling visual data according to the visual blank data area in the data acquisition and recording software and the visual station subarea corresponding to the visual blank data area.
In a third aspect, an embodiment of the present invention further provides a big data-based cloud platform system for intelligently monitoring and analyzing an ecological environment, where the big data-based cloud platform system for intelligently monitoring and analyzing an ecological environment includes an ecological environment monitoring server and a plurality of data acquisition devices in communication connection with the ecological environment monitoring server;
the ecological environment monitoring server is used for:
acquiring construction-period water quality visualization information and waiting-period water quality visualization information recorded in data acquisition and recording software, determining the waiting-period water quality visualization information recorded in the data acquisition and recording software as station waiting-period water quality visualization information, and determining the construction-period water quality visualization information recorded in the data acquisition and recording software as station construction-period water quality visualization information; the water quality standard-reaching characteristic of the station in the waiting period in the water quality visualization information is obtained from a target collection water quality standard-reaching characteristic aiming at the data collection recording software, wherein the water quality visualization information in the construction period and the water quality visualization information in the waiting period are state data acquired based on a preset collection strategy;
acquiring construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics, and determining the correlation degree of the water quality standard-reaching characteristics between the construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics and the construction-period water quality standard-reaching characteristics in the station construction-period water quality visualization information as the joint confidence coefficient between the station waiting-period water quality visualization information and the station construction-period water quality visualization information;
when the connection confidence coefficient is greater than or equal to a connection confidence coefficient threshold value, correlating the station waiting-period water quality visualization information with the station construction-period water quality visualization information to obtain correlated water quality visualization information, determining the waiting-period water quality visualization information with failed correlation as candidate waiting-period water quality visualization information, and determining a visualization station partition matched with the candidate waiting-period water quality visualization information according to the water quality visualization information matching degree between the waiting-period water quality visualization information in the correlated water quality visualization information and the candidate waiting-period water quality visualization information;
and associating the visual site subarea matched with the visual information of the candidate waiting-period water quality to obtain visual subarea associated information, determining a visual blank data area in the data acquisition and recording software and a visual site subarea corresponding to the visual blank data area according to the visual subarea associated information and the associated water quality visual information, and filling visual data according to the visual blank data area in the data acquisition and recording software and the visual site subarea corresponding to the visual blank data area.
In a fourth aspect, an embodiment of the present invention further provides an ecological environment monitoring server, where the ecological environment monitoring server includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus cloud platform system, the network interface is used for being communicatively connected with at least one data acquisition device, the machine-readable storage medium is used for storing a program, an instruction, or a code, and the processor is used for executing the program, the instruction, or the code in the machine-readable storage medium to perform the method for intelligently monitoring and analyzing an ecological environment of basic data in the first aspect or any one of possible implementation manners in the first aspect.
In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed, the computer is caused to execute the method for intelligently monitoring and analyzing an ecological environment of basic big data in the first aspect or any one of the possible implementation manners of the first aspect.
Based on any one of the aspects, the construction-period water quality visualization information and the waiting-period water quality visualization information recorded in the data acquisition and recording software are acquired; based on the connection confidence coefficient between the construction-period water quality visualization information and the waiting-period water quality visualization information recorded in the data acquisition and recording software, correlating the construction-period water quality visualization information and the waiting-period water quality visualization information recorded in the data acquisition and recording software to obtain correlated water quality visualization information; determining the waiting-period water quality visualization information with the association failure as candidate waiting-period water quality visualization information, and determining a visualization site partition matched with the candidate waiting-period water quality visualization information according to the water quality visualization information matching degree between the waiting-period water quality visualization information and the candidate waiting-period water quality visualization information in the associated water quality visualization information; associating the visual site subareas matched with the candidate waiting-period water quality visual information to obtain visual subarea association information; and determining a visual blank data area in the data acquisition and recording software and a visual station subarea corresponding to the visual blank data area according to the visual subarea association information and the associated water quality visual information. Therefore, the method provided by the invention can acquire the construction period water quality visualization information and the waiting period water quality visualization information recorded in the data acquisition recording software, the visual blank data area in the data acquisition recording software can be acquired through the waiting period water quality visualization information, the visual site subarea in the data acquisition recording software can be acquired through the construction period water quality visualization information, and the correlation failure waiting period water quality visualization information can be matched with the corresponding visual site subarea, so that the accuracy of the acquired visual blank data area and the visual site subarea in the data acquisition recording software is improved, and the subsequent data sorting for the water quality visualization information is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that need to be called in the embodiments are briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic view of an application scenario of an ecological environment intelligent monitoring analysis cloud platform system based on big data according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of an ecological environment intelligent monitoring and analyzing method for basic big data according to an embodiment of the present invention;
fig. 3 is a functional module schematic diagram of an ecological environment intelligent monitoring and analyzing device based on big data according to an embodiment of the present invention;
fig. 4 is a schematic block diagram of structural components of an ecological environment monitoring server for implementing the above-described ecological environment intelligent monitoring and analyzing method for basic big data according to an embodiment of the present invention.
Detailed Description
The present invention is specifically described below with reference to the drawings in the specification, and the specific operation method in the method embodiment may also be applied to the apparatus embodiment or the cloud platform system embodiment.
Fig. 1 is an interaction schematic diagram of an ecological environment intelligent monitoring analysis cloud platform system 10 based on big data according to an embodiment of the present invention. The big data-based ecological environment intelligent monitoring and analyzing cloud platform system 10 may include an ecological environment monitoring server 100 and a data acquisition device 200 communicatively connected to the ecological environment monitoring server 100. The big data-based ecological environment intelligent monitoring and analyzing cloud platform system 10 shown in fig. 1 is only one possible example, and in other possible embodiments, the big data-based ecological environment intelligent monitoring and analyzing cloud platform system 10 may also include only a part of the components shown in fig. 1 or may also include other components.
In this embodiment, the ecological environment monitoring server 100 and the data collection device 200 in the cloud platform system 10 for ecological environment intelligent monitoring and analysis of basic big data may execute the method for ecological environment intelligent monitoring and analysis of basic big data described in the following method embodiment in a matching manner, and the detailed description of the method embodiment below may be referred to for the specific execution steps of the ecological environment monitoring server 100 and the data collection device 200.
To solve the technical problem in the foregoing background art, fig. 2 is a schematic flow chart of an intelligent monitoring and analyzing method for an ecological environment of basic big data according to an embodiment of the present invention, which can be executed by the ecological environment monitoring server 100 shown in fig. 1, and the intelligent monitoring and analyzing method for an ecological environment of basic big data is described in detail below.
Step S110, acquiring construction period water quality visualization information and waiting period water quality visualization information recorded in data acquisition and recording software, determining the waiting period water quality visualization information recorded in the data acquisition and recording software as station waiting period water quality visualization information, and determining the construction period water quality visualization information recorded in the data acquisition and recording software as station construction period water quality visualization information.
In this embodiment, the characteristic of water quality reaching standard in the station waiting period in the visualized information of water quality is obtained from a characteristic of water quality reaching standard of target collection for data collection and recording software, wherein the visualized information of water quality in the construction period and the visualized information of water quality in the waiting period are status data obtained by collection based on a preset collection strategy, for example, a time period and a data range of big data collection can be configured, and then the visualized information of water quality in the construction period and the visualized information of water quality in the waiting period recorded in the data collection and recording software are subjected to big data collection.
Step S120, obtaining construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics, and determining the correlation degree of the water quality standard-reaching characteristics between the construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics and the construction-period water quality standard-reaching characteristics in the station construction-period water quality visualization information as the connection confidence coefficient between the station waiting-period water quality visualization information and the station construction-period water quality visualization information.
In this embodiment, the water quality standard-reaching feature may refer to a standard-reaching evaluation record in a standard-reaching evaluation process of a station.
In this embodiment, the calculation method of the correlation degree of the water quality reaching characteristic between the construction-period water quality reaching characteristic in the target collection water quality reaching characteristic and the construction-period water quality reaching characteristic in the site construction-period water quality visual information may specifically be a calculation of the number of coincidences between a jump category tag included in the construction-period water quality reaching characteristic in the target collection water quality reaching characteristic and a jump category tag included in the construction-period water quality reaching characteristic, a calculation of the page association number of the page association situation before and after the jump included in the construction-period water quality reaching characteristic in the target collection water quality reaching characteristic and the page association situation before and after the jump included in the construction-period water quality reaching characteristic, and a determination of the weighted values of the number of coincidences and the page association number obtained by the above calculation as the number of page associations between the construction-period water quality reaching characteristic in the target collection water quality reaching characteristic and the construction-period water quality reaching characteristic in the site construction-period water quality And marking the relevance of the features.
Step S130, when the connection confidence is larger than or equal to the connection confidence threshold, correlating the station waiting-period water quality visualization information with the station construction-period water quality visualization information to obtain correlated water quality visualization information, determining the waiting-period water quality visualization information with failed correlation as candidate waiting-period water quality visualization information, and determining a visualization station partition matched with the candidate waiting-period water quality visualization information according to the water quality visualization information matching degree between the waiting-period water quality visualization information and the candidate waiting-period water quality visualization information in the correlated water quality visualization information.
In this embodiment, it can be understood that the waiting-period water quality visualization information of the association failure may be waiting-period water quality visualization information of which the engagement confidence is smaller than the engagement confidence threshold. In the association process, the station waiting period water quality visualization information and the station construction period water quality visualization information are combined to form a cluster, and each cluster can be an association unit.
Step S140, the visual site subareas matched with the candidate waiting-period water quality visual information are correlated with the candidate waiting-period water quality visual information to obtain visual subarea correlation information, the visual blank data area in the data acquisition and recording software and the visual site subarea corresponding to the visual blank data area are determined according to the visual subarea correlation information and the correlated water quality visual information, and visual data filling processing is carried out according to the visual blank data area in the data acquisition and recording software and the visual site subarea corresponding to the visual blank data area.
Based on the above steps, the embodiment can acquire the construction period water quality visualization information and the waiting period water quality visualization information recorded in the data acquisition recording software, the visualization blank data area in the data acquisition recording software can be acquired through the waiting period water quality visualization information, the visualization site partition in the data acquisition recording software can be acquired through the construction period water quality visualization information, and the correlation failure waiting period water quality visualization information can be matched with the corresponding visualization site partition, so that the accuracy of the acquired visualization blank data area and the visualization site partition in the data acquisition recording software is improved, and the subsequent data sorting is performed on the water quality visualization information.
In one possible implementation manner, for step S110, in the process of acquiring the construction-period water quality visualization information and the waiting-period water quality visualization information recorded in the data acquisition recording software, the following exemplary sub-steps may be implemented.
And a substep S111 of acquiring at least two construction period water quality standard-reaching characteristics and at least two waiting period water quality standard-reaching characteristics in the data acquisition and recording software.
And a substep S112, obtaining the construction period water quality standard characteristic correlation degree between at least two construction period water quality standard characteristics and the loss function value of the construction period water quality standard characteristic, and obtaining the waiting period water quality standard characteristic correlation degree between at least two waiting period water quality standard characteristics and the loss function value of the waiting period water quality standard characteristic.
And a substep S113, combining at least two construction period water quality standard-reaching characteristics according to the construction period water quality standard-reaching characteristic correlation degree and the loss function value of the construction period water quality standard-reaching characteristics to obtain construction period water quality visual information recorded in the data acquisition and recording software. The visualized information of the water quality in the construction period comprises at least one characteristic of reaching the water quality standard in the construction period.
And a substep S114 of combining at least two waiting-period water quality reaching characteristics according to the correlation degree of the waiting-period water quality reaching characteristics and the loss function value of the waiting-period water quality reaching characteristics to obtain waiting-period water quality visual information recorded in the data acquisition and recording software. The waiting-period water quality visual information comprises at least one waiting-period water quality reaching characteristic.
In a possible implementation manner, the candidate waiting-period water quality visualization information may include a first waiting-period water quality reaching characteristic in the data acquisition and recording software. The quantity of the related water quality visualization information is at least two. The waiting-period water quality visual information in each piece of associated water quality visual information respectively comprises a second waiting-period water quality standard reaching characteristic in the data acquisition and recording software.
On this basis, for step S130, in the process of determining the visualization site partition matching the candidate waiting-period water quality visualization information according to the water quality visualization information matching degree between the waiting-period water quality visualization information and the candidate waiting-period water quality visualization information in the associated water quality visualization information, the following exemplary sub-steps may be implemented.
And a substep S131, obtaining a first monitoring evaluation characteristic of the candidate waiting-period water quality visualization information according to the first waiting-period water quality standard reaching characteristic.
And a substep S132, respectively acquiring second monitoring and evaluating characteristics of the water quality visualization information in the waiting period in each piece of associated water quality visualization information according to the second waiting period water quality standard reaching characteristics included in each piece of associated water quality visualization information.
And a substep S133 of obtaining the same evaluation parameter between the first monitoring evaluation characteristic and the second monitoring evaluation characteristic corresponding to each piece of associated water quality visualization information.
And a substep S134, determining the water quality visualization information matching degree between the waiting-period water quality visualization information and the candidate waiting-period water quality visualization information in each piece of associated water quality visualization information according to the same evaluation parameter to which each piece of associated water quality visualization information belongs.
And a substep S135, when the quantity of the target-associated water quality visualization information is greater than the first quantity threshold value and less than or equal to the second quantity threshold value, determining the visualization site partition contained in the construction-period water quality visualization information in the target-associated water quality visualization information as the visualization site partition matched with the candidate waiting-period water quality visualization information.
It should be noted that the target-associated water quality visualization information refers to the associated water quality visualization information whose water quality visualization information matching degree is greater than or equal to the water quality visualization information matching degree threshold.
In a possible implementation manner, the number of the water quality reaching characteristics of the first waiting period water quality reaching characteristics is at least two.
In sub-step S131, this may be achieved by the following exemplary embodiments:
(1) and acquiring monitoring evaluation characteristics corresponding to each first waiting-period water quality reaching characteristic in the at least two first waiting-period water quality reaching characteristics.
(2) And acquiring first weighted monitoring evaluation characteristics corresponding to the at least two first waiting-period water quality reaching characteristics according to the monitoring evaluation characteristics corresponding to the first waiting-period water quality reaching characteristics respectively.
(3) And determining the first weighted monitoring evaluation characteristic as the first monitoring evaluation characteristic.
In a possible implementation manner, the aforementioned at least two pieces of correlated water quality visualization information may include correlated water quality visualization information fx, where x is a positive integer smaller than or equal to the total number of the at least two pieces of correlated water quality visualization information. Wherein, the water quality standard-reaching characteristic quantity of the water quality standard-reaching characteristic in the second waiting period included by the associated water quality visual information fx is at least two.
In sub-step S132, this may be achieved by the following exemplary embodiments:
(1) and acquiring monitoring and evaluating characteristics corresponding to each of the at least two second waiting-period water quality reaching characteristics included in the associated water quality visualization information fx.
(2) And acquiring second weighted monitoring evaluation characteristics corresponding to the at least two second waiting-period water quality reaching characteristics according to the monitoring evaluation characteristics corresponding to the second waiting-period water quality reaching characteristics respectively.
(3) And determining the second weighted monitoring evaluation characteristic as a second monitoring evaluation characteristic of the waiting-period water quality visualization information in the associated water quality visualization information fx.
In a possible implementation manner, the number of the candidate waiting-period water quality visualization information is at least two.
Based on this, when the number of the target associated water quality visualization information is less than or equal to the first number threshold, the associated water quality visualization information where the waiting-period water quality visualization information with the highest matching degree with the water quality visualization information between the candidate waiting-period water quality visualization information is located is respectively determined as the pending associated pair corresponding to each candidate waiting-period water quality visualization information.
And then, respectively determining the visual site partition contained in the construction period water quality visual information in the undetermined correlation pair corresponding to each candidate waiting period water quality visual information as the undetermined visual site partition corresponding to each candidate waiting period water quality visual information.
On the basis, at least two site partition attribute lists corresponding to the visual site partition to be determined can be determined according to the visual site partition to be determined corresponding to each candidate waiting-period water quality visualization information. Acquiring a first proportion of at least two site partition attribute lists in the visual site partitions contained in the water quality visual information of at least two relevant water quality visual information in the construction period.
In this way, a first target site partition attribute list of each candidate waiting-period water quality visualization information for the to-be-determined visualization site partition may be determined according to the first proportion. And then, determining the visual site subareas to be determined, which respectively have the first target site subarea attribute list corresponding to the water quality visualization information of each candidate waiting period, as the visual site subareas matched with the water quality visualization information of each candidate waiting period.
It is worth noting that the second ratio of the at least two site-partition attribute lists in the visualization site partition matched with each candidate waiting-period water quality visualization information is equal to the first ratio.
In a possible implementation manner, on the basis of the foregoing description, when the number of the target-associated water quality visualization information is greater than the second number threshold, the occurrence times of at least two site partition attribute lists of the to-be-determined visualization site partition in the visualization site partition included in the construction-period water quality reaching standard feature of the target-associated water quality visualization information may also be counted. Wherein, the attribute lists of at least two station subareas are determined according to the visual station subareas contained in the construction period water quality visual information in the target associated water quality visual information.
And then, according to the matching degree of the water quality visualization information between the candidate waiting-period water quality visualization information and the target-associated water quality visualization information and the occurrence frequency, determining a second target site partition attribute list of the candidate waiting-period water quality visualization information for the to-be-determined visualization site partition from the at least two site partition attribute lists. For example, a site partition attribute list that matches the degree of matching of the water quality visualization information between the candidate waiting-period water quality visualization information and the target-associated water quality visualization information and the occurrence frequency may be obtained from at least two site partition attribute lists as a second target site partition attribute list of the candidate waiting-period water quality visualization information for the to-be-determined visualization site partition.
Next, the to-be-determined visual site partition having the second target site partition attribute list may be determined as a visual site partition matching the candidate waiting-period water quality visualization information.
In a possible implementation manner, for step S140, in the process of determining the visual blank data area in the data acquisition and recording software and the visual site partition corresponding to the visual blank data area according to the visual partition associated information and the associated water quality visualization information, the visual site partitions included in the water quality visualization information in the visual partition associated information and the associated water quality visualization information may be obtained, and each visual site partition is clustered according to the data type to obtain the visual site partition corresponding to each cluster, where each cluster corresponds to one visual blank data area of the data type.
In a possible implementation manner, for step S140, during the process of performing the visualized data filling process according to the visualized blank data area in the data acquisition and recording software and the visualized site partition corresponding to the visualized blank data area, the following exemplary sub-steps may be implemented.
And a substep S141 of acquiring water quality visualization change information of related visualization objects in the visualization site subarea of the visualization blank data area.
And a substep S142, acquiring visual change elements matched with the plurality of filling units of the visual blank data area and a target visual filling component corresponding to the visual change elements based on the water quality visual change information, wherein the target visual filling component loads the visual filling component of the interactive component service to which the information belongs for the event of the visual change elements, and the target visual filling component comprises at least one filling chart object.
And a substep S143, performing screening and matching on the plurality of filling units to obtain a target filling instance having a filling mapping relation with the at least one filling chart object, and generating filling configuration information between the target filling instance and the target filling chart object according to filling configuration parameters of the target filling instance and the at least one filling chart object under the target filling template.
For example, a target fill template corresponding to each fill chart object may be determined based on the existing fill mapping relationship between the target fill instance and the fill chart object. Then, based on the determined target filling template, the filling configuration parameters of the target filling instance and at least one filling chart object in the determined target filling template are called, and the filling chart object of which the filling configuration parameters meet a preset drawing service range is determined as the target filling chart object. And generating filling configuration information between the target filling instance and the target filling graph object according to the filling configuration parameters of the target filling instance and the target filling graph object under the at least one filling template.
And a substep S144, inputting filling configuration information between the target filling examples and the target filling chart objects under the filling templates into each target visual filling component, selecting target water quality visual resource information matched with the visual change elements from a preset target water quality visual resource information set according to the input result, and filling data contents of the target water quality visual resource information into the visual blank data area.
Fig. 3 is a schematic functional module diagram of an ecological environment intelligent monitoring and analyzing apparatus 300 for basic big data according to an embodiment of the present disclosure, in this embodiment, functional modules of the ecological environment intelligent monitoring and analyzing apparatus 300 for basic big data may be divided according to the method embodiment executed by the ecological environment monitoring server 100, that is, the following functional modules corresponding to the ecological environment intelligent monitoring and analyzing apparatus 300 for basic big data may be used to execute each method embodiment executed by the ecological environment monitoring server 100. The device 300 for intelligently monitoring and analyzing ecological environment of basic big data may include an obtaining module 310, a first determining module 320, a second determining module 330, and a filling module 340, and the functions of the functional modules of the device 300 for intelligently monitoring and analyzing ecological environment of basic big data are explained in detail below.
The obtaining module 310 is configured to obtain the construction-period water quality visualization information and the waiting-period water quality visualization information recorded in the data acquisition and recording software, determine the waiting-period water quality visualization information recorded in the data acquisition and recording software as the station waiting-period water quality visualization information, and determine the construction-period water quality visualization information recorded in the data acquisition and recording software as the station construction-period water quality visualization information. The water quality standard-reaching characteristic of the station in the waiting period in the water quality visualization information is obtained from a target collection water quality standard-reaching characteristic aiming at data collection recording software, wherein the water quality visualization information in the construction period and the water quality visualization information in the waiting period are state data acquired based on a preset collection strategy. The obtaining module 310 may be configured to perform the step S110, and the detailed implementation of the obtaining module 310 may refer to the detailed description of the step S110.
The first determining module 320 is configured to obtain a construction-period water quality compliance feature in the target collected water quality compliance feature, and determine a correlation degree of the water quality compliance feature between the construction-period water quality compliance feature in the target collected water quality compliance feature and the construction-period water quality compliance feature in the station construction-period water quality visualization information as a connection confidence coefficient between the station waiting-period water quality visualization information and the station construction-period water quality visualization information. The first determining module 320 may be configured to perform the step S120, and for a detailed implementation of the first determining module 320, reference may be made to the detailed description of the step S120.
The second determining module 330 is configured to, when the joining confidence is greater than or equal to the joining confidence threshold, associate the station waiting-period water quality visualization information with the station construction-period water quality visualization information to obtain associated water quality visualization information, determine the waiting-period water quality visualization information with which association has failed as candidate waiting-period water quality visualization information, and determine a visualization station partition matched with the candidate waiting-period water quality visualization information according to a water quality visualization information matching degree between the waiting-period water quality visualization information and the candidate waiting-period water quality visualization information in the associated water quality visualization information. The second determining module 330 may be configured to perform the step S130, and the detailed implementation of the second determining module 330 may refer to the detailed description of the step S130.
The filling module 340 is configured to associate the visual site partition matched with the candidate waiting-period water quality visualization information to obtain visual partition association information, determine a visual blank data area in the data acquisition and recording software and a visual site partition corresponding to the visual blank data area according to the visual partition association information and the associated water quality visualization information, and perform visual data filling processing according to the visual blank data area in the data acquisition and recording software and the visual site partition corresponding to the visual blank data area. The filling module 340 may be configured to perform the step S140, and the detailed implementation of the filling module 340 may refer to the detailed description of the step S140.
Fig. 4 is a schematic diagram illustrating a hardware structure of an ecological environment monitoring server 100 for implementing the above-mentioned intelligent ecological environment monitoring and analyzing method for basic big data according to an embodiment of the present disclosure, and as shown in fig. 4, the ecological environment monitoring server 100 may include a processor 110, a machine-readable storage medium 120, a bus 130, and a transceiver 140.
In a specific implementation process, at least one processor 110 executes computer-executable instructions stored in the machine-readable storage medium 120 (for example, the obtaining module 310, the first determining module 320, the second determining module 330, and the padding module 340 included in the apparatus 300 for intelligently monitoring and analyzing an ecological environment of basic big data shown in fig. 3), so that the processor 110 may execute the method for intelligently monitoring and analyzing an ecological environment of basic big data according to the above method embodiment, where the processor 110, the machine-readable storage medium 120, and the transceiver 140 are connected through the bus 130, and the processor 110 may be configured to control the transceiver 140 to perform a transceiving action, so as to perform data transceiving with the aforementioned data acquisition device 200.
For a specific implementation process of the processor 110, reference may be made to the above-mentioned method embodiments executed by the ecological environment monitoring server 100, which implement similar principles and technical effects, and this embodiment is not described herein again.
In addition, the embodiment of the present invention further provides a readable storage medium, where the readable storage medium stores a computer execution instruction, and when the processor executes the computer execution instruction, the method for intelligently monitoring and analyzing an ecological environment of the basic big data is implemented.
Finally, it should be understood that the examples in this specification are only intended to illustrate the principles of the examples in this specification. Other variations are also possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims (10)

1. An ecological environment intelligent monitoring analysis method based on big data is characterized by being applied to an ecological environment monitoring server, wherein the ecological environment monitoring server is in communication connection with a plurality of data acquisition devices, and the method comprises the following steps:
acquiring construction-period water quality visualization information and waiting-period water quality visualization information recorded in data acquisition recording software of data acquisition equipment of a water quality site, determining the waiting-period water quality visualization information recorded in the data acquisition recording software as the site waiting-period water quality visualization information, and determining the construction-period water quality visualization information recorded in the data acquisition recording software as the site construction-period water quality visualization information; the water quality standard-reaching characteristic of the station in the waiting period in the water quality visualization information is obtained from a target collection water quality standard-reaching characteristic aiming at the data collection recording software, wherein the water quality visualization information in the construction period and the water quality visualization information in the waiting period are state data acquired based on a preset collection strategy;
acquiring construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics, and determining the correlation degree of the water quality standard-reaching characteristics between the construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics and the construction-period water quality standard-reaching characteristics in the station construction-period water quality visualization information as the joint confidence coefficient between the station waiting-period water quality visualization information and the station construction-period water quality visualization information;
when the connection confidence coefficient is greater than or equal to a connection confidence coefficient threshold value, correlating the station waiting-period water quality visualization information with the station construction-period water quality visualization information to obtain correlated water quality visualization information, determining the waiting-period water quality visualization information with failed correlation as candidate waiting-period water quality visualization information, and determining a visualization station partition matched with the candidate waiting-period water quality visualization information according to the water quality visualization information matching degree between the waiting-period water quality visualization information in the correlated water quality visualization information and the candidate waiting-period water quality visualization information;
and associating the visual site subarea matched with the visual information of the candidate waiting-period water quality to obtain visual subarea associated information, determining a visual blank data area in the data acquisition and recording software and a visual site subarea corresponding to the visual blank data area according to the visual subarea associated information and the associated water quality visual information, and filling visual data according to the visual blank data area in the data acquisition and recording software and the visual site subarea corresponding to the visual blank data area.
2. The method for intelligently monitoring and analyzing the ecological environment based on the big data as claimed in claim 1, wherein the acquiring of the visualized water quality information in the construction period and the visualized water quality information in the waiting period recorded in the data acquisition recording software of the data acquisition equipment of the water quality site comprises:
acquiring at least two construction period water quality standard-reaching characteristics and at least two waiting period water quality standard-reaching characteristics in the data acquisition and recording software;
obtaining the construction period water quality standard-reaching characteristic correlation degree between the at least two construction period water quality standard-reaching characteristics and the loss function value of the construction period water quality standard-reaching characteristic, and obtaining the waiting period water quality standard-reaching characteristic correlation degree between the at least two waiting period water quality standard-reaching characteristics and the loss function value of the waiting period water quality standard-reaching characteristic;
combining the at least two construction-period water quality standard-reaching characteristics according to the construction-period water quality standard-reaching characteristic correlation degree and the loss function value of the construction-period water quality standard-reaching characteristic to obtain construction-period water quality visual information recorded in the data acquisition recording software; the visualized information of the water quality in the construction period comprises at least one characteristic of reaching the standard of the water quality in the construction period;
combining the at least two waiting-period water quality reaching characteristics according to the correlation degree of the waiting-period water quality reaching characteristics and the loss function value of the waiting-period water quality reaching characteristics to obtain waiting-period water quality visual information recorded in the data acquisition and recording software; the waiting-period water quality visual information comprises at least one waiting-period water quality reaching characteristic.
3. The intelligent ecological environment monitoring and analyzing method for the basic big data according to claim 1, wherein the visual information of the candidate waiting-period water quality comprises a first waiting-period water quality reaching characteristic in the data acquisition and recording software; the number of the related water quality visual information is at least two; the waiting-period water quality visual information in each piece of associated water quality visual information respectively comprises a second waiting-period water quality standard reaching characteristic in the data acquisition and recording software;
the determining the visual site subarea matched with the candidate waiting-period water quality visual information according to the water quality visual information matching degree between the waiting-period water quality visual information in the associated water quality visual information and the candidate waiting-period water quality visual information comprises the following steps:
acquiring a first monitoring evaluation characteristic of the candidate waiting-period water quality visualization information according to the first waiting-period water quality standard reaching characteristic;
respectively acquiring second monitoring and evaluating characteristics of the waiting-period water quality visual information in each piece of associated water quality visual information according to the second waiting-period water quality standard reaching characteristics included in each piece of associated water quality visual information;
obtaining the same evaluation parameters between the first monitoring evaluation characteristics and the second monitoring evaluation characteristics corresponding to each piece of associated water quality visualization information;
determining the water quality visualization information matching degree between the waiting-period water quality visualization information in each piece of associated water quality visualization information and the candidate waiting-period water quality visualization information according to the same evaluation parameter to which each piece of associated water quality visualization information belongs;
when the quantity of the target-associated water quality visualization information is greater than a first quantity threshold and less than or equal to a second quantity threshold, determining the visualization site partition contained in the construction-period water quality visualization information in the target-associated water quality visualization information as the visualization site partition matched with the candidate waiting-period water quality visualization information; the target associated water quality visual information refers to associated water quality visual information of which the water quality visual information matching degree is greater than or equal to a water quality visual information matching degree threshold value.
4. The intelligent ecological environment monitoring and analyzing method based on big data as claimed in claim 3, wherein the number of the water quality reaching features of the first waiting period water quality reaching features is at least two;
the acquiring of the first monitoring evaluation characteristic of the candidate waiting-period water quality visualization information according to the first waiting-period water quality reaching characteristic includes:
acquiring monitoring evaluation characteristics corresponding to each first waiting-period water quality reaching characteristic in at least two first waiting-period water quality reaching characteristics;
acquiring first weighted monitoring evaluation characteristics corresponding to the at least two first waiting-period water quality reaching characteristics according to the monitoring evaluation characteristics corresponding to each first waiting-period water quality reaching characteristic;
and determining the first weighted monitoring evaluation characteristic as the first monitoring evaluation characteristic.
5. The ecological environment intelligent monitoring and analyzing method based on big data as claimed in claim 3, wherein the at least two pieces of associated water quality visualization information include associated water quality visualization information fx, where x is a positive integer less than or equal to the total amount of the at least two pieces of associated water quality visualization information; the water quality standard-reaching characteristic quantity of the water quality standard-reaching characteristic in the second waiting period, which is included in the associated water quality visual information fx, is at least two;
according to the second waiting-period water quality standard reaching characteristic included by each piece of associated water quality visualization information, respectively acquiring the second monitoring and evaluating characteristics of the waiting-period water quality visualization information in each piece of associated water quality visualization information, including:
acquiring monitoring evaluation characteristics corresponding to each of at least two second waiting-period water quality reaching characteristics included in the associated water quality visualization information fx;
acquiring second weighted monitoring evaluation characteristics corresponding to the at least two second waiting-period water quality reaching characteristics according to the monitoring evaluation characteristics corresponding to each second waiting-period water quality reaching characteristic;
and determining the second weighted monitoring evaluation characteristic as a second monitoring evaluation characteristic of the waiting-period water quality visualization information in the associated water quality visualization information fx.
6. The intelligent ecological environment monitoring and analyzing method based on big data as claimed in claim 3, wherein the number of the candidate waiting-period water quality visualization information is at least two;
the method further comprises the following steps:
when the number of the target associated water quality visualization information is less than or equal to the first number threshold, respectively determining the associated water quality visualization information where the waiting-period water quality visualization information with the highest matching degree with the water quality visualization information between the candidate waiting-period water quality visualization information is located as a pending association pair corresponding to the candidate waiting-period water quality visualization information;
respectively determining the visual site subareas contained in the construction period water quality visual information in the undetermined correlation pair corresponding to each candidate waiting period water quality visual information as the undetermined visual site subareas corresponding to each candidate waiting period water quality visual information;
determining at least two site partition attribute lists corresponding to the visual site partition to be determined according to the visual site partition to be determined corresponding to the candidate waiting-period water quality visualization information;
acquiring a first proportion of the at least two site partition attribute lists in the visual site partitions contained in the water quality visual information of the at least two relevant water quality visual information in the construction period;
determining a first target site partition attribute list of each candidate waiting-period water quality visualization information aiming at the to-be-determined visualization site partition according to the first proportion;
determining the visual site subareas to be determined, which respectively have the first target site subarea attribute list corresponding to the water quality visualization information of each candidate waiting period, as the visual site subareas matched with the water quality visualization information of each candidate waiting period; and the second proportion of the at least two site partition attribute lists in the visual site partitions matched with the visualization information of the water quality of each candidate waiting period is equal to the first proportion.
7. The method for intelligently monitoring and analyzing the ecological environment of the basic big data, according to claim 3, further comprising:
when the quantity of the target-associated water quality visualization information is larger than the second quantity threshold value, counting the occurrence times of at least two site partition attribute lists of the to-be-determined visual site partitions in the visual site partitions contained in the construction-period water quality standard-reaching characteristics of the target-associated water quality visualization information; the at least two site partition attribute lists are determined according to the visual site partitions contained in the construction period water quality visual information in the target-associated water quality visual information;
according to the matching degree of the water quality visualization information between the candidate waiting-period water quality visualization information and the target-associated water quality visualization information and the occurrence frequency, determining a second target site partition attribute list of the candidate waiting-period water quality visualization information for the to-be-determined visualization site partition from the at least two site partition attribute lists;
and determining the visual site subarea to be determined with the second target site subarea attribute list as a visual site subarea matched with the candidate waiting-period water quality visualization information.
8. The method for intelligently monitoring and analyzing the ecological environment of basic big data according to any one of claims 1 to 7, wherein the step of determining the visual blank data area in the data acquisition and recording software and the visual site partition corresponding to the visual blank data area according to the visual partition association information and the associated water quality visualization information comprises the following steps:
acquiring the visual partition associated information and visual site partitions contained in water quality visual information in the associated water quality visual information, and clustering each visual site partition according to a data type to obtain a visual site partition corresponding to each cluster, wherein each cluster corresponds to a visual blank data area of a data type;
the step of performing visualized data filling processing according to the visualized blank data area in the data acquisition and recording software and the visualized station partition corresponding to the visualized blank data area comprises the following steps:
acquiring water quality visualization change information of related visualization objects in the visualization station subareas of the visualization blank data area;
acquiring visual change elements matched with a plurality of filling units of the visual blank data area and a target visual filling component corresponding to the visual change elements based on the water quality visual change information, wherein the target visual filling component loads a visual filling component of an interactive component service to which the information belongs for the event of the visual change elements, and comprises at least one filling chart object;
screening and matching the plurality of filling units to obtain a target filling example having a filling mapping relation with at least one filling chart object, and generating filling configuration information between the target filling example and the target filling chart object according to filling configuration parameters of the target filling example and the at least one filling chart object under a target filling template;
and inputting filling configuration information between the target filling examples and the target filling chart objects under each filling template into each target visual filling assembly, selecting target water quality visual resource information matched with the visual change elements from a preset target water quality visual resource information set according to an input result, and filling data contents of the target water quality visual resource information into the visual blank data area.
9. The method for intelligently monitoring and analyzing the ecological environment of the basic big data according to claim 8, wherein the generating of the filling configuration information between the target filling instance and the target filling diagram object according to the filling configuration parameters of the target filling instance and at least one filling diagram object under the target filling template comprises:
determining a target filling template corresponding to each filling chart object according to the filling mapping relation between the target filling example and the filling chart object;
based on the determined target filling template, calling filling configuration parameters of the target filling instance and at least one filling chart object in the determined target filling template, and determining the filling chart object of which the filling configuration parameters meet a preset drawing service range as the target filling chart object;
and generating filling configuration information between the target filling instance and the target filling graph object according to filling configuration parameters of the target filling instance and the target filling graph object under at least one filling template.
10. The big data-based ecological environment intelligent monitoring and analyzing cloud platform system is characterized by comprising an ecological environment monitoring server and a plurality of data acquisition devices in communication connection with the ecological environment monitoring server;
the ecological environment monitoring server is used for:
acquiring construction-period water quality visualization information and waiting-period water quality visualization information recorded in data acquisition and recording software, determining the waiting-period water quality visualization information recorded in the data acquisition and recording software as station waiting-period water quality visualization information, and determining the construction-period water quality visualization information recorded in the data acquisition and recording software as station construction-period water quality visualization information; the water quality standard-reaching characteristic of the station in the waiting period in the water quality visualization information is obtained from a target collection water quality standard-reaching characteristic aiming at the data collection recording software, wherein the water quality visualization information in the construction period and the water quality visualization information in the waiting period are state data acquired based on a preset collection strategy;
acquiring construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics, and determining the correlation degree of the water quality standard-reaching characteristics between the construction-period water quality standard-reaching characteristics in the target collected water quality standard-reaching characteristics and the construction-period water quality standard-reaching characteristics in the station construction-period water quality visualization information as the joint confidence coefficient between the station waiting-period water quality visualization information and the station construction-period water quality visualization information;
when the connection confidence coefficient is greater than or equal to a connection confidence coefficient threshold value, correlating the station waiting-period water quality visualization information with the station construction-period water quality visualization information to obtain correlated water quality visualization information, determining the waiting-period water quality visualization information with failed correlation as candidate waiting-period water quality visualization information, and determining a visualization station partition matched with the candidate waiting-period water quality visualization information according to the water quality visualization information matching degree between the waiting-period water quality visualization information in the correlated water quality visualization information and the candidate waiting-period water quality visualization information;
and associating the visual site subarea matched with the visual information of the candidate waiting-period water quality to obtain visual subarea associated information, determining a visual blank data area in the data acquisition and recording software and a visual site subarea corresponding to the visual blank data area according to the visual subarea associated information and the associated water quality visual information, and filling visual data according to the visual blank data area in the data acquisition and recording software and the visual site subarea corresponding to the visual blank data area.
CN202110306182.5A 2021-03-23 2021-03-23 Ecological environment intelligent monitoring analysis method based on big data and cloud platform system Withdrawn CN112950056A (en)

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