CN112118421A - Intelligent river patrol method, device, storage medium and electronic equipment - Google Patents

Intelligent river patrol method, device, storage medium and electronic equipment Download PDF

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Publication number
CN112118421A
CN112118421A CN202010955826.9A CN202010955826A CN112118421A CN 112118421 A CN112118421 A CN 112118421A CN 202010955826 A CN202010955826 A CN 202010955826A CN 112118421 A CN112118421 A CN 112118421A
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river
video
parameters
river surface
terminal
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宋雪红
宋欢乐
周臻
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Hangzhou Underground Pipeline Development Co ltd
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Hangzhou Underground Pipeline Development Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects

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Abstract

The application relates to the field of water engineering and environmental engineering, in particular to an intelligent river patrol method, an intelligent river patrol device, a storage medium and electronic equipment, wherein the intelligent river patrol method comprises the steps of acquiring a river monitoring video acquired by a panoramic camera in real time; generating an observation video according to the river channel monitoring video; acquiring river surface parameters according to a river surface image in the river channel monitoring video, wherein the river surface parameters are used for describing the river surface condition of a river channel; and sending the observation video and the river parameters to a VR terminal so that the VR terminal displays the observation video and the river parameters. The monitoring river surface situation of this application continuation improves the whole efficiency of patrolling the river, promotes the accuracy of patrolling the river information.

Description

Intelligent river patrol method, device, storage medium and electronic equipment
Technical Field
The application relates to the field of water engineering and environmental engineering, in particular to an intelligent river patrol method, an intelligent river patrol device, a storage medium and electronic equipment.
Background
With the development of society, people pay more and more attention to the environment on which human beings live, and further strengthening the river and lake management and protection work is one of the key works, namely, the relevant responsible persons of all levels of departments play the role of 'river length' and are responsible for organizing the management and protection work of corresponding rivers and lakes. The daily work of the river master comprises river patrol so as to find the pollution problem of the river in time and report the problem.
In the related technology, patrolling a river requires that the river reach a site for on-site patrolling, and after the patrolling is finished, the river master also needs to manually record operation and report patrolling information, including information such as patrolling time, patrolling river section and patrolling event.
However, in the related art, when the river reaches a long place, the river surface condition cannot be timely grasped, and the overall river reaching efficiency is low.
Disclosure of Invention
In order to help the river captain timely and accurately master the real-time situation of the river channel, so that the found problems are quickly and effectively processed, and the working efficiency and the emergency command capability of the river captain are improved, the intelligent river patrol method, the intelligent river patrol device, the intelligent river patrol storage medium and the electronic equipment are provided.
In a first aspect, the present application provides a smart cruise method, including:
acquiring a river monitoring video acquired by a panoramic camera in real time;
generating an observation video according to the river channel monitoring video;
acquiring river surface parameters according to a river surface image in the river channel monitoring video, wherein the river surface parameters are used for describing the river surface condition of a river channel;
and sending the observation video and the river parameters to a VR terminal so that the VR terminal displays the observation video and the river parameters.
Through adopting above-mentioned technical scheme, the panoramic camera carries out real time monitoring to the river course situation to river course situation with gathering generates the river course monitoring video, and the river course monitoring video takes place to the server and manages and handle, converts to and observes the video, will observe the video and take place to the VR terminal and show, and the help river reach is timely, the accurate real-time condition of mastering the river course, thereby fast, handle the problem of discovery effectively, improves river reach work efficiency and emergent command ability. The river surface parameters are obtained according to the river surface image, electronic data are formed and displayed on the VR terminal, and the river patrol of the river length is referred and assisted.
Preferably, when acquiring river surface parameters according to the river surface image in the river channel monitoring video:
identifying a foreign object image included in the river surface image;
and acquiring foreign matter features for describing foreign matters according to the foreign matter image, wherein the foreign matter features comprise a foreign matter volume and a foreign matter number.
Preferably, before sending the observation video and the river surface parameters to the VR terminal:
generating a river surface pollution index according to the foreign matter characteristics;
and if the river surface pollution index is greater than the river surface standard index, outputting an alarm signal to the VR terminal.
Preferably, when acquiring river surface parameters according to the river surface image in the river channel monitoring video:
identifying a partial image with abnormal colors in the river surface image;
and generating color features according to the partial images, wherein the color features comprise abnormal colors and abnormal color areas.
Preferably, before sending the observation video and the river surface parameters to the VR terminal:
generating a water quality pollution index according to the color characteristics;
and if the water quality pollution index is greater than the water quality standard index, outputting an alarm signal to the VR terminal.
Preferably, when acquiring river surface parameters according to the river surface image in the river channel monitoring video:
and acquiring water quality component parameters, and sending the water quality component parameters to the VR terminal so that the VR terminal displays the water quality component parameters.
Preferably, according to the river monitoring video, when the observation video is generated:
and stitching and converting the river channel monitoring video to generate the observation video which is suitable for VR terminal display and 360-degree panoramic observation.
In a second aspect, the present application provides a river device is patrolled to wisdom, includes:
the data acquisition module is used for acquiring a river channel monitoring video acquired by the panoramic camera in real time;
the data conversion module is used for generating an observation video according to the river channel monitoring video;
the parameter acquisition module is used for acquiring river surface parameters according to a river surface image in the river channel monitoring video;
the sending module is used for sending the observation video and the river surface parameters to the VR terminal;
and the display module is used for displaying the observation video and the river surface parameters.
In a third aspect, the present application provides a computer-readable storage medium comprising:
and the storage program executes the intelligent river patrol method when running.
In a fourth aspect, the present application provides an electronic device comprising:
a memory in which a computer program is stored, and a processor arranged to execute the above intelligent cruise method by means of the computer program.
To sum up, the beneficial technical effect of this application:
carry out continuous monitoring and long-range panorama monitoring through real-time incessant the river course of panoramic camera, simultaneously convert the river course monitoring video of gathering into the observation video that is used for the VR terminal to look over, the VR terminal that can control is sent to the observation video that will convert, when acquireing the river course parameter, through constantly switching over the panoramic camera of collection point, carry out panorama no dead angle to the river surface condition and patrol the river, accomplish real-time grasp river surface situation, the important river surface accident of early warning forecast, shorten and patrol the river time, improve the whole work efficiency who patrols the river, overcome geographical environment's difficulty simultaneously, promote the accuracy of patrolling the river information, realize the upgrading transformation of patrolling the river method.
Drawings
Fig. 1 is a schematic block diagram of a flow of an intelligent river patrol method according to an embodiment of the present disclosure;
FIG. 2 is a schematic block diagram of a process for describing a foreign object feature according to a foreign object image provided by an embodiment of the present application;
fig. 3 is a block diagram illustrating a structure of an intelligent river patrol device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, an embodiment of the present application discloses an intelligent river patrol method, including:
and S101, acquiring a river monitoring video acquired by the panoramic camera in real time.
Specifically, a plurality of panoramic cameras are arranged on two sides of the river channel, and the panoramic cameras are arranged along the length direction of the river channel.
It should be understood that the setting of a plurality of panoramic cameras makes the region that river water flows through covered by the full scope to avoid appearing the sight blind area, reduce the sight blind area and appear abnormal conditions and not taken place by the condition of panoramic camera collection, improve the information accuracy of the river course monitoring video when patrolling the river.
Optionally, the splicing delay of the panoramic camera is less than 100ms, so that the overall fluency of the photographed river channel monitoring video is improved, and meanwhile, the river channel monitoring video is conveniently processed and converted subsequently.
Optionally, in practical application, the panoramic camera adopts a 2 x 2um large target surface CMOS sensor, so that the photosensitive area is effectively increased in the process of collecting river channel monitoring videos in real time, the accuracy of the river channel monitoring videos is increased, and the accuracy of river patrol information is further improved.
In addition, the large target surface CMOS sensor can also improve dark field effect, adapt to night working environment, collect river channel monitoring video at night, further improve the practicability of river patrol information, and realize all-weather monitoring and patrol of river surfaces.
Optionally, the shell of the panoramic camera adopts an industrial waterproof design, so that the panoramic camera has waterproof, dustproof and lightning-proof functions, and is suitable for continuous work in outdoor environment.
Optionally, the panoramic camera is an outdoor waterproof integrated VR panoramic camera V8.
And S102, generating an observation video according to the river channel monitoring video.
Specifically, the system further comprises a first router and a streaming media server.
It should be understood that the river monitoring video is transmitted to the streaming media server through the first router, the streaming media server performs stitching and conversion processing on the river monitoring video, generates an observation video for the VR terminal to use, and stores the observation video in the streaming media server.
Preferably, the first router is an enterprise-level router, and the enterprise-level router can provide support capability for characteristics such as speed, service quality, multicast, flow control, support for IPv6, multicast and MPLS of thousands/tens of thousands Mbps ports, meet requirements of enterprise users on safety, stability and reliability, greatly improve communication speed, reduce communication load of an enterprise network system, save network system resources and improve smooth rate of the network system.
Preferably, the streaming server is a core system of a streaming application, and streaming refers to a media form that streams audio, video and multimedia files in a network. Compared with a network playing mode of watching after downloading, the streaming media compress continuous audio and video information and then place the compressed information on a server, so that the streaming media can watch the information while downloading, and the whole file does not need to be downloaded, thereby improving the transmission efficiency of video data.
Optionally, the streaming media server includes a server and VR streaming media video management software deep depth-V2. The deep depth-V2 streaming media video management software has an efficient video management function and has functions of uploading, transcoding, live broadcasting, playback, multi-screen playing and the like.
Optionally, the streaming media server has a storage space, so as to implement storage capacity expansion requirements.
Optionally, the stream is pushed between the first router and the streaming media server through an RTMP, where the RTMP is a Real Time Messaging Protocol (Real Time message transmission Protocol), and is a network Protocol designed for Real Time data communication, and is mainly used for performing audio/video and data communication between the streaming media servers supporting the RTMP Protocol, so as to reduce delay and adapt to longer-Time transmission.
Preferably, the networking mode between the first router and the streaming media server is 5G signal transmission, so that large data volume transmission such as high-definition video and virtual reality is met.
S103, acquiring river surface parameters according to the river surface image in the river channel monitoring video, wherein the river surface parameters are used for describing the river surface condition of the river channel.
Specifically, the river parameters are foreign object characteristics, foreign object images included in the river images are identified, and foreign object characteristics for describing foreign objects are acquired according to the foreign object images, wherein the foreign object characteristics include different object volumes and foreign object numbers.
It should be understood that the river image is formed by combining a plurality of pixel points, the color of each pixel point is not necessarily the same, and the RGB values of each pixel point are unified into the same value by performing graying processing on the river image, so that the river image is changed from three channels into a single channel, the processing of the river image data of the single channel is simple and convenient, and the occurrence of stripe distortion can be avoided.
And then, performing feature extraction on the river surface image subjected to the graying processing by adopting a Scale Invariant Feature Transform (SIFT) or Histogram of Oriented Gradients (HOG) method.
And comparing the river surface image after the characteristic extraction with the river surface image after the characteristic extraction at the last moment, so as to determine whether a distinguishing point, namely a foreign matter image exists, and further realize the recognition of the foreign matter on the river surface image.
For example, taking a river image a at time t and a river image B at time t-1, it is necessary to determine whether the river image a and the river image B are the same map by the following steps:
and S1, obtaining feature point sets S1 and S2 corresponding to the river surface image A and the river surface image B respectively.
And S2, for each feature point in the set S1, finding the corresponding nearest neighbor feature point in S2 respectively, wherein the Euclidean distance can be used as a measurement standard, if the Euclidean distance is smaller than a threshold value, the current feature point is successfully matched, and otherwise, the matching fails.
And S3, if the number of successful matching in the set S1 is larger than a specified threshold value, the river surface image A is approximate to a part of the river surface image B, the river surface image A and the river surface image B are the same image, no foreign matter exists in the river surface, otherwise, the river surface is proved to have the foreign matter.
Referring to fig. 2, as a specific embodiment of the intelligent river patrol method provided by the present application, a foreign object image included in a river image is identified, and a foreign object feature describing a foreign object is obtained according to the foreign object image, where the foreign object feature includes a foreign object volume and a foreign object number, and the process is as follows:
s201, generating a river surface pollution index according to the foreign matter characteristics.
S202, if the river pollution index is larger than the river standard index, outputting an alarm signal to the VR terminal.
Specifically, the number of the foreign matters is x, the volume of the foreign matters is y, and the river surface pollution index is V, so that V = { x, y } is provided, and the river surface standard index is W.
When V < = W, the river surface state is a normal state, and the VR terminal displays that the river surface state is normal;
when V is larger than W, the river surface state is an alarm state, and the VR terminal displays an alarm signal to prompt personnel to process the foreign matters on the river surface.
It should be understood that foreign object handling involves many methods, such as tracking and handling of foreign objects by an on-water robot or on-site cleaning personnel.
Preferably, three monitoring points a, b and c are arranged on the river channel along the length direction of the river channel, wherein the distance between a and b is the same as the distance between b and c, and the distance is L. The time from the point a to the point b of the foreign matter is t, so that the moving speed of the foreign matter is s = L/t. And according to the moving speed s, calculating the time when the foreign matter moves to the point c. And (4) performing range delineation by taking the point c as the circle center and the radius L as the radius, acquiring the site cleaner or the water robot which is closest to the point c, and grabbing and processing the foreign matters.
Referring to fig. 2, as a specific embodiment of the intelligent river patrol method provided by the present application, according to a river image in the river monitoring video, river parameters are obtained, and the process is as follows:
and S301, identifying a partial image with abnormal colors in the river surface image.
And S302, generating color characteristics according to the partial images, wherein the color characteristics comprise abnormal colors and abnormal color areas.
Specifically, the image area with large color deviation on the river surface image is subjected to frame selection and interception to form a color abnormal area.
Optionally, the color abnormal region is subjected to image amplification.
It should be understood that the abnormal color is obtained and judged through color identification software or manual identification, and the conclusion whether the color is abnormal or not is output through comparing color data of the river surface in a normal state.
And if the output is abnormal color, outputting an alarm signal to the VR terminal.
And if the output is that the abnormal color area is larger than the preset area, outputting an alarm signal to the VR terminal.
Optionally, a water quality pollution index is generated according to the color characteristics.
Specifically, the river water pollution index calculation mode is as follows:
Figure 391201DEST_PATH_IMAGE001
PIj in the formula, namely the water pollution index of the j application water, mg/L;
si, J-water quality evaluation parameter (pollutant) i water quality evaluation standard of J kinds of use water, mg/L;
ci is the actually measured concentration of the water quality evaluation parameter i, mg/L;
n is the number of items of the water quality evaluation parameters.
Preferably, the temperature, the color, the transparency, the pH value, the number of escherichia coli, the total dissolved solids, the suspended solids, the total nitrogen, the alkalinity, the chlorine, the iron, the manganese, the sulfate and the dissolved oxygen are selected as evaluation parameters for calculating the water pollution index, and the water use is divided into three categories.
Human contact use (PI1), including drinking, swimming, making beverages, and the like;
indirect contact use (PI2), including fish farming, industrial food preparation, agricultural use, etc.;
non-contact use (PI3) including industrial cooling, public entertainment, shipping, etc.
According to the share (namely weight coefficient) of the water body in different purposes, represented by W1, W2 and W3 respectively, a water quality pollution index calculation formula is obtained:
PI=PI1W1+PI2W2+PI3W3
wherein PI total water quality index;
w1, W2, W3-weight coefficient of water for various purposes. Thereby calculating the water quality pollution index. It should be understood that the water pollution index obtained needs to be compared with the water quality standard index. When the water pollution index is larger than the water quality standard index, an alarm signal is generated and transmitted to the VR terminal for displaying and early warning, and workers are reminded of needing river water treatment, so that the aim of river patrol treatment is fulfilled.
Referring to fig. 2, as a specific embodiment of the intelligent river patrol method provided by the present application, when acquiring river parameters according to river images in a river monitoring video, the process is as follows:
s401, water quality component parameters are obtained and sent to the VR terminal, so that the VR terminal can display the water quality component parameters.
Specifically, through set up water intake device in river course both sides, carry out real-time water intaking to the river to be convenient for carry out chemical analysis to the river in real time, confirm the quality of water composition, form quality of water composition analysis report, and send quality of water composition analysis report to the VR terminal and show and inform, reach the purpose of real-time supervision river face quality of water.
S104, sending the observation video and the river parameters to a VR terminal so that the VR terminal can display the observation video and the river parameters. The observation video is generated by stitching and converting the river monitoring video through the streaming media server, and is a 360-degree panoramic video.
Specifically, the system further comprises a second router. And carrying out network transmission on the observation video and the river parameters after management and processing in the streaming media server through a second router, and transmitting the observation video and the river parameters to the VR terminal, so that the VR terminal displays the observation video and the river parameters.
Preferably, the second router is also an enterprise level router.
Specifically, the VR terminal includes VR glasses and a display screen. It should be understood that VR glasses convenience of customers carries out virtual picture and patrols the river, controls through external device, sends and controls the instruction to turn to and the processing of focusing in observing the video, the staff of being convenient for better observe and patrol the river, improve the authenticity and the accuracy of patrolling the river. The display screen is synchronous with the content in the VR glasses, so that other people can conveniently observe synchronously.
Preferably, the networking mode between the second router and the streaming media server is 5G signal transmission.
The observation video after will handling the conversion sends to the VR terminal that can look over, controls and turns to the processing through VR terminal to observing video, realizes looking over of observation video, accomplishes the video back of this monitoring point, switches to next monitoring point and looks over, operates in proper order to realize patrolling the river of river course condition.
Referring to fig. 3, an embodiment of the present application discloses an intelligent river patrol device 30, including:
the data acquisition module 31 is used for acquiring a river monitoring video acquired by the panoramic camera in real time;
the data conversion module 32 is configured to generate an observation video according to the river monitoring video;
the parameter obtaining module 33 is used for obtaining river surface parameters according to river surface images in the river channel monitoring video;
a sending module 34, configured to send the observation video and the river parameters to a VR terminal;
and the display module 35 is configured to display the observation video and the river surface parameters.
An embodiment of the application discloses a computer-readable storage medium, including:
and the storage program executes the intelligent river patrol method when running.
The embodiment of the application discloses electronic equipment, includes:
a memory in which a computer program is stored, and a processor arranged to execute the above intelligent cruise method by means of the computer program.
The embodiment of the application provides an intelligent river patrol method, a device, a storage medium and electronic equipment, carry out continuous monitoring and remote panoramic monitoring to the river channel in real time through panoramic camera, simultaneously convert the river channel monitoring video of gathering into the observation video that is used for the VR terminal to look over, the VR terminal that can control is sent to the observation video that will convert, when acquireing the river channel parameter, through the panoramic camera who constantly switches the acquisition point, carry out panorama no dead angle to the river surface condition and patrol the river, accomplish to master the river surface condition in real time, the important river surface accident of early warning forecast, shorten the time of patrolling the river, improve the whole work efficiency of patrolling the river, overcome geographical environment's difficulty simultaneously, promote the accuracy of patrolling the river information, realize the upgrading transformation of patrolling the river method.
Various objects such as various messages/information/devices/network elements/systems/devices/actions/operations/procedures/concepts may be named in the present application, it is to be understood that these specific names do not constitute limitations on related objects, and the named names may vary according to circumstances, contexts, or usage habits, and the understanding of the technical meaning of the technical terms in the present application should be mainly determined by the functions and technical effects embodied/performed in the technical solutions.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is also to be understood that the terminology and/or the description of the various embodiments herein is consistent and mutually inconsistent if no specific statement or logic conflicts exists, and that the technical features of the various embodiments may be combined to form new embodiments based on their inherent logical relationships.
It will be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory.
The non-volatile memory may be ROM, Programmable Read Only Memory (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), or flash memory.
Volatile memory can be RAM, which acts as external cache memory. There are many different types of RAM, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synclink DRAM (SLDRAM), and direct memory bus RAM.
The processor mentioned in any of the above may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the intelligent cruise method. The processing module and the storage module may be decoupled, and are respectively disposed on different physical devices, and are connected in a wired or wireless manner to implement respective functions of the processing module and the storage module, so as to support the system chip to implement various functions in the foregoing embodiments. Alternatively, the processing module and the memory may be coupled to the same device.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a computer-readable storage medium, which includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned computer-readable storage media comprise: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.

Claims (10)

1. An intelligent river patrol method is characterized by comprising the following steps:
acquiring a river monitoring video acquired by a panoramic camera in real time;
generating an observation video according to the river channel monitoring video;
acquiring river surface parameters according to a river surface image in the river channel monitoring video, wherein the river surface parameters are used for describing the river surface condition of a river channel;
and sending the observation video and the river parameters to a VR terminal so that the VR terminal displays the observation video and the river parameters.
2. The intelligent river patrol method according to claim 1, wherein the river surface parameters include foreign matter characteristics, and the acquiring river surface parameters according to the river surface images in the river channel monitoring video comprises:
identifying a foreign object image included in the river surface image;
and acquiring foreign matter features for describing foreign matters according to the foreign matter image, wherein the foreign matter features comprise a foreign matter volume and a foreign matter number.
3. The intelligent river patrol method according to claim 2, wherein before the observation video and the river surface parameters are sent to the VR terminal, the method further comprises:
generating a river surface pollution index according to the foreign matter characteristics;
and if the river surface pollution index is greater than the river surface standard index, outputting an alarm signal to the VR terminal.
4. The intelligent river patrol method according to claim 1, wherein the river surface parameters include color features, and the obtaining of the river surface parameters according to the river surface images in the river channel monitoring video includes:
identifying a partial image with abnormal colors in the river surface image;
and generating color features according to the partial images, wherein the color features comprise abnormal colors and abnormal color areas.
5. The intelligent river patrol method according to claim 4, wherein before the observation video and the river surface parameters are sent to the VR terminal, the method further comprises:
generating a water quality pollution index according to the color characteristics;
and if the water quality pollution index is greater than the water quality standard index, outputting an alarm signal to the VR terminal.
6. The intelligent river patrol method according to claim 3 or 5, wherein river surface parameters are obtained according to river surface images in the river channel monitoring video, and the method further comprises:
and acquiring water quality component parameters, and sending the water quality component parameters to the VR terminal so that the VR terminal displays the water quality component parameters.
7. The intelligent river patrol method according to claim 1, wherein the generating of observation videos according to the river monitoring videos comprises:
and stitching and converting the river channel monitoring video to generate the observation video which is suitable for VR terminal display and 360-degree panoramic observation.
8. The utility model provides an intelligence patrols a river device which characterized in that includes:
the data acquisition module is used for acquiring a river channel monitoring video acquired by the panoramic camera in real time;
the data conversion module is used for generating an observation video according to the river channel monitoring video;
the parameter acquisition module is used for acquiring river surface parameters according to a river surface image in the river channel monitoring video;
the sending module is used for sending the observation video and the river surface parameters to the VR terminal;
and the display module is used for displaying the observation video and the river surface parameters.
9. A computer-readable storage medium characterized by: comprising a stored program which when executed performs the method of any of claims 1 to 7.
10. An electronic device comprising a memory and a processor, characterized in that: the memory has stored therein a computer program by which the processor is arranged to perform the method of any of claims 1 to 7.
CN202010955826.9A 2020-09-11 2020-09-11 Intelligent river patrol method, device, storage medium and electronic equipment Pending CN112118421A (en)

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CN113014872A (en) * 2021-02-20 2021-06-22 国网上海市电力公司 Automatic panorama operation and maintenance system based on 5G private network, Beidou positioning and image recognition

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Application publication date: 20201222