CN113792642A - River and lake ecological management data processing method and system based on intelligent technology - Google Patents
River and lake ecological management data processing method and system based on intelligent technology Download PDFInfo
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Abstract
The invention discloses a river and lake ecological management data processing method and system based on an intelligent technology, wherein the method comprises the following steps: performing feature recognition on the first standard image data information to obtain a first feature recognition result; performing characteristic matching comparison on the first characteristic identification result and a preset management requirement to obtain a first management target object; based on the through-vision analysis and comparison, carrying out position matching on the first management target object and the three-dimensional monitoring model to obtain a first abnormal position result, and dynamically marking the first abnormal position result; and monitoring and analyzing the first abnormal position result to obtain a first monitoring event analysis result, and sending the first monitoring event analysis result to the monitoring information management system for registration processing. The method solves the technical problems of high labor input, long battle line, easy artificial interference, low efficiency, work lag and high cost in the ecological management and supervision work of river and lake shorelines in the prior art.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a river and lake ecological management data processing method and system based on an intelligent technology.
Background
The main working tasks of river and lake ecological management are water resource protection, water pollution prevention, water environment improvement, water ecology restoration, health life maintenance of rivers and lakes and continuous utilization of functions of rivers and lakes. The method is characterized in that a modern geographic information surveying and mapping technology is used for constructing a digital and informatization management system and method for river and lake protection and management, the information technology is used for supporting the cleaning and treatment of the outstanding problems of river channel encroachment, lake reclamation, overproof pollution discharge, illegal sand collection, channel damage, electric poison fish frying and the like, the technical support is provided for ecological management and social supervision of rivers and lakes, and the technical solution is provided for strengthening scientific and accurate management and control of the shoreline space of the river and lake water area.
The river and lake shoreline ecological management technology has the characteristics of strong policy and law control, wide social influence range, large data information amount, high timeliness of taking treatment action and the like.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
in the prior art, the river and lake shoreline ecological management and supervision work has the technical problems of high manual investment, long battle line, easy artificial interference, low efficiency, lag work and high cost.
Disclosure of Invention
The embodiment of the application provides a river and lake ecological management data processing method and system based on an intelligent technology, solves the technical problems of high labor investment, high workload, high cost and low efficiency in the prior art, realizes automatic identification and processing of monitoring data of a monitoring area, pays attention to the fit condition of a monitored object and management requirements and technical specifications in real time, and finds and analyzes the change of attribute elements of the monitoring area and the result condition generated by human behaviors in time, thereby improving the supervision quality and efficiency and reducing the technical effect of supervision cost.
In view of the above, the present invention has been developed to provide a method that overcomes, or at least partially solves, the above-mentioned problems.
In a first aspect, an embodiment of the present application provides a river and lake ecological management data processing method based on an intelligent technology, where the method includes: acquiring first video information through the image acquisition device, wherein the first video information is video information of a first monitoring region; obtaining a first analysis instruction, and performing video frame-by-frame analysis on the first video information according to the first analysis instruction to obtain the first image data information; performing data screening and cleaning on the first image data information to obtain first standard image data information; obtaining a first identification instruction, wherein the first identification instruction is used for carrying out feature identification on the first standard image data information to obtain a first feature identification result; performing characteristic matching comparison on the first characteristic identification result and a preset management requirement to obtain a first management target object; based on the through-vision analysis and comparison, carrying out position matching on the first management target object and the three-dimensional monitoring model to obtain a first abnormal position result, and dynamically marking the first abnormal position result; and monitoring and analyzing the first abnormal position result to obtain a first monitoring event analysis result, and sending the first monitoring event analysis result to the monitoring information management system for registration processing.
On the other hand, this application still provides a river lake ecological management data processing system based on intelligent technology, the system includes: the first obtaining unit is used for obtaining first video information through an image acquisition device, and the first video information is video information of a first monitoring region; the second obtaining unit is used for obtaining a first analysis instruction, and performing video frame-by-frame analysis on the first video information according to the first analysis instruction to obtain the first image data information; a third obtaining unit, configured to perform data screening and cleaning on the first image data information to obtain first standard image data information; a fourth obtaining unit, configured to obtain a first identification instruction, where the first identification instruction is used to perform feature identification on the first standard image data information to obtain a first feature identification result; a fifth obtaining unit, configured to perform feature matching comparison on the first feature recognition result and a predetermined management requirement, and obtain a first management target object; a sixth obtaining unit, configured to perform position matching on the first management target object and the three-dimensional monitoring model based on a through-vision analysis and comparison, obtain a first abnormal position result, and dynamically mark the first abnormal position result; and the first processing unit is used for monitoring and analyzing the first abnormal position result, obtaining a first monitoring event analysis result and sending the first monitoring event analysis result to the monitoring information management system for registration processing.
In a third aspect, an embodiment of the present invention provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when the computer program is executed by the processor, the method for controlling output data includes any one of the steps described above.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the method for controlling output data according to any one of the above.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the first video information is subjected to video frame-by-frame analysis according to the first analysis instruction, so that the first image data information is obtained; performing data screening and cleaning on the first image data information to obtain first standard image data information; obtaining a first identification instruction, wherein the first identification instruction is used for carrying out feature identification on the first standard image data information to obtain a first feature identification result; performing characteristic matching comparison on the first characteristic identification result and a preset management requirement to obtain a first management target object; based on the through-vision analysis and comparison, carrying out position matching on the first management target object and the three-dimensional monitoring model to obtain a first abnormal position result, and dynamically marking the first abnormal position result; and monitoring and analyzing the first abnormal position result to obtain a first monitoring event analysis result, and sending the first monitoring event analysis result to the monitoring information management system for registration processing. And then realize carrying on the automatic identification to the monitoring data of the monitoring area and handling, pay close attention to the monitoring object and management requirement and agreeing with the situation of the technical specification in real time, find and analyze the result situation that the change of the attribute factor of the monitoring area and behavior of people produce in time, thus improve and supervise quality and efficiency, reduce the technological effect of supervising the cost.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a river and lake ecological management data processing method based on an intelligent technology in an embodiment of the present application;
FIG. 2 is a schematic flow chart of a three-dimensional monitoring model generated in a river and lake ecological management data processing method based on an intelligent technology according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a process for generating a project three-dimensional monitoring model in a river and lake ecological management data processing method based on an intelligent technology according to an embodiment of the present application;
fig. 4 is a schematic flow chart illustrating the supplementary correction of the analysis result of the first monitoring event in the river and lake ecological management data processing method based on the intelligent technology according to the embodiment of the present application;
FIG. 5 is a schematic flow chart of a three-dimensional monitoring model library constructed in the river and lake ecological management data processing method based on the intelligent technology in the embodiment of the present application;
fig. 6 is a schematic flow chart illustrating processing of a first early warning problem in the river and lake ecological management data processing method based on the intelligent technology according to the embodiment of the present application;
fig. 7 is a schematic flow chart illustrating the periodic monitoring of the regions in the method for processing river and lake ecological management data based on the intelligent technology according to the embodiment of the present application;
FIG. 8 is a schematic structural diagram of a river and lake ecological management data processing system based on an intelligent technology in an embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device for executing a method of controlling output data according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, an operating system 1151, an application 1152 and a user interface 1160.
Detailed Description
In the description of the embodiments of the present invention, it should be apparent to those skilled in the art that the embodiments of the present invention can be embodied as methods, apparatuses, electronic devices, and computer-readable storage media. Thus, embodiments of the invention may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, embodiments of the invention may also be embodied in the form of a computer program product in one or more computer-readable storage media having computer program code embodied in the medium.
The computer-readable storage media described above may take any combination of one or more computer-readable storage media. The computer-readable storage medium includes: an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium include: a portable computer diskette, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, a flash memory, an optical fiber, a compact disc read-only memory, an optical storage device, a magnetic storage device, or any combination thereof. In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device, or apparatus.
Summary of the application
The method, the device and the electronic equipment are described through the flow chart and/or the block diagram.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing apparatus to function in a particular manner. Thus, the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The embodiments of the present invention will be described below with reference to the drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a river and lake ecological management data processing method based on an intelligent technology, where the method includes:
step S100: acquiring first video information through the image acquisition device, wherein the first video information is video information of a first monitoring region;
step S200: obtaining a first analysis instruction, and performing video frame-by-frame analysis on the first video information according to the first analysis instruction to obtain the first image data information;
specifically, the image acquisition device comprises an unmanned aerial vehicle, a remote sensing acquisition camera and the like, the first monitoring region is a monitored river whole-line region and can be divided into a gate station project, a ship lock project, a river bank, a scenic spot, a bridge, a road, a management facility and the like according to functions, and the image acquisition device monitors and acquires video information of the first monitoring region. And performing video frame-by-frame analysis on the first video information according to the first analysis instruction to obtain the first image data information after the monitoring video frame-by-frame analysis, wherein the first image data information comprises three-dimensional data of riverway coastal terrain, buildings, water conservancy facilities and the like, and is used for analyzing subsequent supervision problems.
Step S300: performing data screening and cleaning on the first image data information to obtain first standard image data information;
specifically, data screening and cleaning are carried out on monitoring data formed by different acquisition modes, including data consistency checking, invalid value and missing value processing and the like, the first standard image data information meeting the use standard is obtained, the acquired data can meet the requirements of modeling and analysis precision, and the monitoring data which cannot meet the analysis requirements are removed and corrected.
Step S400: obtaining a first identification instruction, wherein the first identification instruction is used for carrying out feature identification on the first standard image data information to obtain a first feature identification result;
step S500: performing characteristic matching comparison on the first characteristic identification result and a preset management requirement to obtain a first management target object;
specifically, feature recognition is performed on the first standard image data information according to the first recognition instruction, and a first feature recognition result, that is, a feature of the detection portion of the monitoring area, is obtained. And performing characteristic matching comparison on the first characteristic identification result and a preset management requirement, wherein the preset management requirement is a requirement that a monitoring area meets a management standard, and the preset management requirement is the requirement that two or three disorder problems are mainly concerned, such as illegal country polder of rivers and lakes, illegal construction, disordered construction and disordered arrangement and the like. The first management target object is a management target object which is not in accordance with the monitoring area management target and other parts after comparison of the coincidence condition of the monitoring object and the management requirement standard, or has problems such as behaviors which are forbidden but not forbidden in the management requirement, behaviors which are executed but not executed, and the like.
Step S600: based on the through-vision analysis and comparison, carrying out position matching on the first management target object and the three-dimensional monitoring model to obtain a first abnormal position result, and dynamically marking the first abnormal position result;
as shown in fig. 2, further, in the three-dimensional monitoring model, step S600 in the embodiment of the present application further includes:
step S610: obtaining standard image data information of a first monitoring data time dimension;
step S620: determining a first image control point arrangement scheme according to the standard image data information;
step S630: matching the standard image data information with the control point position in the first image control point distribution scheme based on space-three encryption to obtain an image position coordinate information set;
step S640: and generating a three-dimensional monitoring model according to the image position coordinate information set.
Specifically, based on the through-vision analysis comparison, the first management target object and the three-dimensional monitoring model are subjected to position matching, a first abnormal position result of the management target object is obtained, and the first abnormal position result is dynamically marked so as to facilitate position tracking. The perspective analysis refers to a technical method of taking a certain point as an observation point, researching terrain analysis of the perspective condition of a certain area, and judging whether any two points on the terrain can be mutually visible by utilizing the DEM.
Further, according to the monitoring requirement of a water conservancy management unit, the frequency and the time period of monitoring data acquisition and model establishment, namely the first monitoring data time dimension, are determined, and according to the standard image data information of the first monitoring data time dimension, a first image control point arrangement scheme is determined. Monitoring data can be better processed only if each image control point is arranged according to a certain standard, so that the three-dimensional model achieves certain precision, for example, the image control point arrangement scheme can arrange control points at intervals of 200 meters, and the number of the control points is 15-20 square meters per K. And matching the standard image data information with the control point positions in the first image control point distribution scheme based on space-time-space encryption to obtain an image position coordinate information set of a monitoring area, wherein the space-time-space encryption is a measurement method for conducting indoor control point encryption according to a small number of field control points in stereo photogrammetry to obtain the elevation and the plane position of the encrypted points. According to the image position coordinate information set, the vivid three-dimensional monitoring model can be generated from simple continuous impression without manual intervention, so that the generated three-dimensional model achieves the technical effects of higher fineness, high accuracy and strong sense of reality.
Step S700: and monitoring and analyzing the first abnormal position result to obtain a first monitoring event analysis result, and sending the first monitoring event analysis result to the monitoring information management system for registration processing.
Specifically, the first abnormal position result is monitored and analyzed to obtain a first monitoring event analysis result including monitoring time, position, management problem items and the like, and the first monitoring event analysis result is sent to the monitoring information management system for registration processing. After the analysis result of the monitoring event is submitted, a manager with problem auditing qualification by a water conservancy management unit carries out auditing confirmation, the problem is converted into a to-be-processed item, a processing stage is entered, the problem found in monitoring is processed, the processing date, the measures and the effect taken by processing are recorded, the problem is stored through text description, and the problem can be solved after being properly solved, so that the processing efficiency of the supervision problem is improved.
As shown in fig. 3, further, step S640 in the embodiment of the present application further includes:
step S641: obtaining a first operation area of a first project;
step S642: the first operation area is cut into blocks according to the operation range of the first project, and operation blocks are obtained;
step S643: obtaining each three-dimensional monitoring model corresponding to each operation block;
step S644: and splicing and combining the three-dimensional monitoring models to generate a project three-dimensional monitoring model of the first project.
Specifically, the first project is an overall project to be monitored, a first work area of the first project, namely an overall project work area of the project, is obtained, the first work area is cut into blocks according to a work range of the first project, and each divided work block is obtained. And constructing each three-dimensional monitoring model according to the monitoring data corresponding to each operation block, and performing splicing ending and merging processing on each three-dimensional monitoring model to generate the integral project three-dimensional monitoring model of the first project. And the model is integrally constructed according to the project processing workload, so that the generated project three-dimensional model has the technical effects of high fineness and accuracy, and strong sense of reality and integrity.
As shown in fig. 4, further, the steps of the embodiment of the present application further include:
step S810: constructing a three-dimensional monitoring model library;
step S820: obtaining a reference period monitoring model of a first period and a comparison period monitoring model of a second period according to the three-dimensional monitoring model library;
step S830: performing data comparison analysis on the reference period monitoring model and the comparison period monitoring model to obtain a first data comparison result;
step S840: and performing supplementary correction on the first monitoring event analysis result according to the first data comparison result.
Specifically, the three-dimensional monitoring model library is a database of each three-dimensional monitoring model in different monitoring periods, and a reference period monitoring model in a first period and a contrast period monitoring model in a second period are obtained according to the three-dimensional monitoring model library. The reference period monitoring model in the first period is a reference three-dimensional model for comparison, the comparison period monitoring model in the second period is a three-dimensional model for comparison with the reference period model, and different time models can be selected optionally for comparison. And performing data comparison analysis on the reference period monitoring model and the comparison period monitoring model to obtain a first data comparison result after model data comparison, wherein the first data comparison result comprises the change data information of the ground features, the landforms and the like of the monitored part, and performing supplementary correction on the first monitoring event analysis result according to the first data comparison result, so that the monitoring event analysis result is more accurate and complete. The flexible comparison of the base data and any data in each period is realized, the problems existing in supervision are discovered through comparison, and the development process and the dynamic technical effect of the problems are reflected.
As shown in fig. 5, further, in the building of the three-dimensional monitoring model library, step S810 in this embodiment of the present application further includes:
step S811: obtaining each preset management target corresponding to each period stage;
step S812: acquiring the geographic attribute and the geomorphic feature of the first monitoring region;
step S813: comprehensively analyzing the preset management targets, the geographic attributes and the landform characteristics to obtain first model generation factors;
step S814: and constructing a three-dimensional monitoring model library corresponding to each period stage according to the first model generation factors.
Specifically, management targets of different periods of the project in the completion process are different, and each preset management target corresponding to each period of the project is obtained, and the geographic attributes and the geographic features of the first monitoring region, such as the terrain, the geographic environment, the geographic coordinates and the like. In the monitoring process, according to the management targets of different stages, comprehensive analysis is carried out by combining the geographic attributes and the landform characteristics of the monitoring area to obtain the generation factors of the three-dimensional model, and the three-dimensional monitoring model base of the local range corresponding to each stage is established according to the first model generation factors, so that the models of the three-dimensional monitoring model base are more comprehensive, the models of different stages are convenient to compare, and the technical effect of the treatment efficiency of the supervision problem is improved.
As shown in fig. 6, further, the steps of the embodiment of the present application further include:
step S910: acquiring index monitoring result data information;
step S920: when the index monitoring result data information exceeds a preset early warning index, taking the index monitoring result data information as a first early warning problem;
step S930: and sending the first early warning problem to the monitoring information management system for processing.
Specifically, data provided by an external system is mainly index-type achievement data, and by setting an early warning index, when index monitoring achievement data information exceeds a preset early warning index, the index monitoring achievement data information is submitted as a first early warning problem and sent to the monitoring information management system for processing without manual identification and registration. And the problem item obtained through the data information of the index monitoring result is used as a part of monitoring work, and the technical effect of the supervision condition of the monitored project is reflected by combining the monitoring result of the main system body.
As shown in fig. 7, further, the steps of the embodiment of the present application further include:
step S1010: obtaining a first statistical instruction, carrying out classified statistics on analysis results of all monitoring events according to the first statistical instruction, and constructing a monitoring item statistical distribution table;
step S1020: acquiring the monitoring frequency corresponding to each region according to the distribution density of each region in the monitoring item statistical distribution table;
step S1030: and periodically monitoring each region according to the monitoring frequency corresponding to each region.
Specifically, the analysis results of each monitoring event are classified and counted according to the first statistical instruction, wherein the analysis results include types and occurrence positions of monitoring items, the monitoring items are positioned and registered, classified and counted according to spatial distribution of the items, a monitoring item statistical distribution table is constructed, and spatial distribution of various problems is intuitively reflected. And according to the distribution density of each region in the monitoring item statistical distribution table, acquiring the monitoring frequency corresponding to each region, and according to the monitoring frequency corresponding to each region, regularly monitoring each region, so that the monitoring frequency can be improved and important attention and tracking can be performed in the region with dense problem distribution. The technical effects of providing distributed data for monitoring reports, mastering the problem degree for a management unit, searching the problem reason, deploying management resources and the like are achieved.
To sum up, the river and lake ecological management data processing method and system based on the intelligent technology provided by the embodiment of the application have the following technical effects:
the first video information is subjected to video frame-by-frame analysis according to the first analysis instruction, so that the first image data information is obtained; performing data screening and cleaning on the first image data information to obtain first standard image data information; obtaining a first identification instruction, wherein the first identification instruction is used for carrying out feature identification on the first standard image data information to obtain a first feature identification result; performing characteristic matching comparison on the first characteristic identification result and a preset management requirement to obtain a first management target object; based on the through-vision analysis and comparison, carrying out position matching on the first management target object and the three-dimensional monitoring model to obtain a first abnormal position result, and dynamically marking the first abnormal position result; and monitoring and analyzing the first abnormal position result to obtain a first monitoring event analysis result, and sending the first monitoring event analysis result to the monitoring information management system for registration processing. And then realize carrying on the automatic identification to the monitoring data of the monitoring area and handling, pay close attention to the monitoring object and management requirement and agreeing with the situation of the technical specification in real time, find and analyze the result situation that the change of the attribute factor of the monitoring area and behavior of people produce in time, thus improve and supervise quality and efficiency, reduce the technological effect of supervising the cost.
Example two
Based on the same inventive concept as the method for processing the river and lake ecological management data based on the intelligent technology in the foregoing embodiment, the present invention further provides a system for processing the river and lake ecological management data based on the intelligent technology, as shown in fig. 8, the system includes:
the first obtaining unit 11 is configured to obtain first video information through an image acquisition device, where the first video information is video information of a first monitoring region;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain a first analysis instruction, and perform video frame-by-frame analysis on the first video information according to the first analysis instruction to obtain the first image data information;
a third obtaining unit 13, where the third obtaining unit 13 is configured to perform data screening and cleaning on the first image data information to obtain first standard image data information;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain a first identification instruction, where the first identification instruction is used to perform feature identification on the first standard image data information to obtain a first feature identification result;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to perform feature matching comparison on the first feature recognition result and a predetermined management requirement, so as to obtain a first management target object;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to perform position matching on the first management target object and the three-dimensional monitoring model based on a through-vision analysis and comparison, obtain a first abnormal position result, and dynamically mark the first abnormal position result;
and the first processing unit 17 is configured to perform monitoring analysis on the first abnormal position result to obtain a first monitoring event analysis result, and send the first monitoring event analysis result to the monitoring information management system for registration processing.
Further, the system further comprises:
a seventh obtaining unit, configured to obtain standard image data information of a time dimension of the first monitoring data;
a first determining unit, configured to determine a first image control stationing scheme according to the standard image data information;
an eighth obtaining unit, configured to match, based on space-time-third encryption, the standard image data information with a control point position in the first image control stationing scheme to obtain an image position coordinate information set;
and the first generating unit is used for generating a three-dimensional monitoring model according to the image position coordinate information set.
Further, the system further comprises:
a ninth obtaining unit configured to obtain a first work area of a first item;
a tenth obtaining unit, configured to perform block division on the first work area according to the work range of the first item, and obtain each work block;
an eleventh obtaining unit, configured to obtain each three-dimensional monitoring model corresponding to each operation block;
and the second generation unit is used for splicing and merging the three-dimensional monitoring models to generate the project three-dimensional monitoring model of the first project.
Further, the system further comprises:
the system comprises a first construction unit, a second construction unit and a third construction unit, wherein the first construction unit is used for constructing a three-dimensional monitoring model library;
a twelfth obtaining unit, configured to obtain, according to the three-dimensional stereo monitoring model library, a reference period monitoring model in the first period and a contrast period monitoring model in the second period;
a thirteenth obtaining unit, configured to perform data comparison analysis on the reference period monitoring model and the comparison period monitoring model to obtain a first data comparison result;
and the first correction unit is used for performing supplementary correction on the first monitoring event analysis result according to the first data comparison result.
Further, the system further comprises:
a fourteenth obtaining unit configured to obtain each predetermined management target corresponding to each epoch phase;
a fifteenth obtaining unit, configured to obtain geographic attributes and topographic features of the first monitoring region;
a sixteenth obtaining unit, configured to perform comprehensive analysis on the predetermined management targets, the geographic attributes, and the topographic features to obtain a first model generating factor;
and the second construction unit is used for constructing the three-dimensional monitoring model library corresponding to each period stage according to the first model generation factor.
Further, the system further comprises:
a seventeenth obtaining unit, configured to obtain index monitoring result data information;
the first early warning unit is used for taking the index monitoring result data information as a first early warning problem when the index monitoring result data information exceeds a preset early warning index;
and the second processing unit is used for sending the first early warning problem to the monitoring information management system for processing.
Further, the system further comprises:
the third construction unit is used for obtaining a first statistical instruction, performing classified statistics on analysis results of all monitoring events according to the first statistical instruction, and constructing a monitoring item statistical distribution table;
an eighteenth obtaining unit, configured to obtain, according to the distribution density of each region in the monitoring item statistical distribution table, a monitoring frequency corresponding to each region;
and the first monitoring unit is used for regularly monitoring each region according to the monitoring frequency corresponding to each region.
Various changes and specific examples of the method for processing river and lake ecological management data based on the intelligent technology in the first embodiment of fig. 1 are also applicable to the system for processing river and lake ecological management data based on the intelligent technology in this embodiment, and through the foregoing detailed description of the method for processing river and lake ecological management data based on the intelligent technology, those skilled in the art can clearly know the method for implementing the system for processing river and lake ecological management data based on the intelligent technology in this embodiment, so for the brevity of the description, detailed description is not given here.
In addition, an embodiment of the present invention further provides an electronic device, which includes a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when the computer program is executed by the processor, the processes of the method for controlling output data are implemented, and the same technical effects can be achieved, and are not described herein again to avoid repetition.
Exemplary electronic device
Specifically, referring to fig. 9, an embodiment of the present invention further provides an electronic device, which includes a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, and a user interface 1160.
In an embodiment of the present invention, the electronic device further includes: a computer program stored on the memory 1150 and executable on the processor 1120, the computer program, when executed by the processor 1120, implementing the various processes of the method embodiments of controlling output data described above.
A transceiver 1130 for receiving and transmitting data under the control of the processor 1120.
In embodiments of the invention in which a bus architecture (represented by bus 1110) is used, bus 1110 may include any number of interconnected buses and bridges, with bus 1110 connecting various circuits including one or more processors, represented by processor 1120, and memory, represented by memory 1150.
The bus 1110 may also connect various other circuits such as peripherals, voltage regulators, or power management circuits to provide an interface between the bus 1110 and the transceiver 1130, as is well known in the art. Therefore, the embodiments of the present invention will not be further described.
The transceiver 1130 may be one element or may be multiple elements, such as multiple receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 1130 receives external data from other devices, and the transceiver 1130 transmits data processed by the processor 1120 to other devices. Depending on the nature of the computer device, a user interface 1160 may also be provided, such as: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It is to be appreciated that in embodiments of the invention, the memory 1150 may further include memory located remotely with respect to the processor 1120, which may be coupled to a server via a network. One or more portions of the above-described network may be an ad hoc network, an intranet, an extranet, a virtual private network, a local area network, a wireless local area network, a wide area network, a wireless wide area network, a metropolitan area network, the internet, a public switched telephone network, a plain old telephone service network, a cellular telephone network, a wireless fidelity network, and a combination of two or more of the above. For example, the cellular telephone network and the wireless network may be global mobile communications devices, code division multiple access devices, global microwave interconnect access devices, general packet radio service devices, wideband code division multiple access devices, long term evolution devices, LTE frequency division duplex devices, LTE time division duplex devices, long term evolution advanced devices, universal mobile communications devices, enhanced mobile broadband devices, mass machine type communications devices, ultra-reliable low-latency communications devices, and the like.
It is to be understood that the memory 1150 in embodiments of the present invention can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, or flash memory.
The volatile memory includes: random access memory, which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory, dynamic random access memory, synchronous dynamic random access memory, double data rate synchronous dynamic random access memory, enhanced synchronous dynamic random access memory, synchronous link dynamic random access memory, and direct memory bus random access memory. The memory 1150 of the electronic device described in the embodiments of the invention includes, but is not limited to, the above and any other suitable types of memory.
In an embodiment of the present invention, memory 1150 stores the following elements of operating system 1151 and application programs 1152: an executable module, a data structure, or a subset thereof, or an expanded set thereof.
Specifically, the operating system 1151 includes various device programs, such as: a framework layer, a core library layer, a driver layer, etc. for implementing various basic services and processing hardware-based tasks. Applications 1152 include various applications such as: media player, browser, used to realize various application services. A program implementing a method of an embodiment of the invention may be included in application program 1152. The application programs 1152 include: applets, objects, components, logic, data structures, and other computer device-executable instructions that perform particular tasks or implement particular abstract data types.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements each process of the above method for controlling output data, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The above description is only a specific implementation of the embodiments of the present invention, but the scope of the embodiments of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the embodiments of the present invention, and all such changes or substitutions should be covered by the scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A river and lake ecological management data processing method based on intelligent technology is applied to a monitoring information management system, the system comprises an image acquisition device, and the method comprises the following steps:
acquiring first video information through the image acquisition device, wherein the first video information is video information of a first monitoring region;
obtaining a first analysis instruction, and performing video frame-by-frame analysis on the first video information according to the first analysis instruction to obtain the first image data information;
performing data screening and cleaning on the first image data information to obtain first standard image data information;
obtaining a first identification instruction, wherein the first identification instruction is used for carrying out feature identification on the first standard image data information to obtain a first feature identification result;
performing characteristic matching comparison on the first characteristic identification result and a preset management requirement to obtain a first management target object;
based on the through-vision analysis and comparison, carrying out position matching on the first management target object and the three-dimensional monitoring model to obtain a first abnormal position result, and dynamically marking the first abnormal position result;
and monitoring and analyzing the first abnormal position result to obtain a first monitoring event analysis result, and sending the first monitoring event analysis result to the monitoring information management system for registration processing.
2. The method of claim 1, wherein the three-dimensional volumetric monitoring model comprises:
obtaining standard image data information of a first monitoring data time dimension;
determining a first image control point arrangement scheme according to the standard image data information;
matching the standard image data information with the control point position in the first image control point distribution scheme based on space-three encryption to obtain an image position coordinate information set;
and generating a three-dimensional monitoring model according to the image position coordinate information set.
3. The method of claim 2, wherein the method comprises:
obtaining a first operation area of a first project;
the first operation area is cut into blocks according to the operation range of the first project, and operation blocks are obtained;
obtaining each three-dimensional monitoring model corresponding to each operation block;
and splicing and combining the three-dimensional monitoring models to generate a project three-dimensional monitoring model of the first project.
4. The method of claim 1, wherein the method comprises:
constructing a three-dimensional monitoring model library;
obtaining a reference period monitoring model of a first period and a comparison period monitoring model of a second period according to the three-dimensional monitoring model library;
performing data comparison analysis on the reference period monitoring model and the comparison period monitoring model to obtain a first data comparison result;
and performing supplementary correction on the first monitoring event analysis result according to the first data comparison result.
5. The method of claim 4, wherein said constructing a three-dimensional stereo monitoring model library comprises:
obtaining each preset management target corresponding to each period stage;
acquiring the geographic attribute and the geomorphic feature of the first monitoring region;
comprehensively analyzing the preset management targets, the geographic attributes and the landform characteristics to obtain first model generation factors;
and constructing a three-dimensional monitoring model library corresponding to each period stage according to the first model generation factors.
6. The method of claim 1, wherein the method comprises:
acquiring index monitoring result data information;
when the index monitoring result data information exceeds a preset early warning index, taking the index monitoring result data information as a first early warning problem;
and sending the first early warning problem to the monitoring information management system for processing.
7. The method of claim 1, wherein the method comprises:
obtaining a first statistical instruction, carrying out classified statistics on analysis results of all monitoring events according to the first statistical instruction, and constructing a monitoring item statistical distribution table;
acquiring the monitoring frequency corresponding to each region according to the distribution density of each region in the monitoring item statistical distribution table;
and periodically monitoring each region according to the monitoring frequency corresponding to each region.
8. A river and lake ecological management data processing system based on intelligent technology, wherein the system comprises:
the first obtaining unit is used for obtaining first video information through an image acquisition device, and the first video information is video information of a first monitoring region;
the second obtaining unit is used for obtaining a first analysis instruction, and performing video frame-by-frame analysis on the first video information according to the first analysis instruction to obtain the first image data information;
a third obtaining unit, configured to perform data screening and cleaning on the first image data information to obtain first standard image data information;
a fourth obtaining unit, configured to obtain a first identification instruction, where the first identification instruction is used to perform feature identification on the first standard image data information to obtain a first feature identification result;
a fifth obtaining unit, configured to perform feature matching comparison on the first feature recognition result and a predetermined management requirement, and obtain a first management target object;
a sixth obtaining unit, configured to perform position matching on the first management target object and the three-dimensional monitoring model based on a through-vision analysis and comparison, obtain a first abnormal position result, and dynamically mark the first abnormal position result;
and the first processing unit is used for monitoring and analyzing the first abnormal position result, obtaining a first monitoring event analysis result and sending the first monitoring event analysis result to the monitoring information management system for registration processing.
9. An electronic device for processing river and lake ecological management data based on intelligent technology, comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the transceiver, the memory and the processor are connected via the bus, and wherein the computer program when executed by the processor implements the steps in the method for controlling output data according to any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, carries out the steps of the method of controlling output data according to any one of claims 1-7.
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