CN116320292A - Water conservancy monitoring control system based on big data - Google Patents
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Abstract
The invention discloses a hydraulic monitoring control system based on big data, relates to the technical field of hydraulic monitoring, and aims to solve the stability and safety problems in hydraulic engineering monitoring. The utility model provides a water conservancy monitor control system based on big data, including water conservancy monitor real-time acquisition system, water conservancy monitor video reads analytic system, water conservancy monitor data decision-making system, grid-connected alarm system and data rejection encryption system, through compressing video frame to video frame data, again with compressed video frame reorganization, can effectively reduce the video frame, prevent the unstable that the frame is too big to lead to, guarantee that the video under the water conservancy monitor area that a plurality of collection facilities of every water conservancy monitor collection area gathered can be fine guarantees the synchronism, match the video frame through audio data, then handle the noise in the video frame, can effectually be to the running situation of water conservancy in the video, through the synchronous comparison of rivers sound and video picture and look over, the accuracy of analysis data has been improved.
Description
Technical Field
The invention relates to the technical field of water conservancy monitoring, in particular to a water conservancy monitoring control system based on big data.
Background
The hydraulic engineering is used for bearing the tasks of water blocking, water storage and water drainage, so that the daily monitoring of the hydraulic engineering is an indispensable unit when the hydraulic engineering works.
The Chinese patent with publication number of CN114675571A discloses a water conservancy monitoring control system and method, which mainly discovers that an object approaches through an infrared sensor, a light sensor, a temperature sensor or a radar and the like, thereby realizing object approach judgment, realizing temperature detection by utilizing a human infrared detection module, judging whether a person or an animal is, thereby giving out corresponding alarm, playing a role in warning pedestrians, notifying a control center, enabling the control center to obtain real-time information, and the problems of how to monitor water conservancy are solved, but the following problems still exist in actual operation:
1. when the water conservancy monitoring area carries out video shooting monitoring, because the quantity of video acquisition terminals is too much, when the video is transmitted after the video is acquired, the stability of video transmission is poor and the synchronism can not be well ensured during multi-video acquisition.
2. The shot pictures under the water conservancy monitoring cannot be processed and analyzed, so that the picture quality is poor, the picture content cannot be analyzed timely and rapidly, the analysis result is wrong, and the water conservancy engineering work cannot be operated normally.
3. The method and the device cannot intelligently conduct abnormality investigation decision on the video according to the content and the picture in the video, so that timely alarm processing cannot be conducted when risks exist, meanwhile, effective data in collected data are not encrypted, and abnormal loopholes appear in the data in a database.
Disclosure of Invention
The invention aims to provide a water conservancy monitoring control system based on big data, which is characterized in that video frame data are compressed, then the compressed video frame is recombined, the video frame is compressed and then the compressed video frame is recombined, so that the number of video frames can be effectively reduced, instability caused by overlarge frames is prevented, the video under the water conservancy monitoring area collected by a plurality of collecting devices of each water conservancy monitoring collecting area can be well ensured to be synchronous through the video compression and the recombination, the video frames are matched through audio data, then noise in the video frames is processed, the running condition of water conservancy in the video can be effectively checked through the synchronous comparison of water flow sound and video pictures, the accuracy of analysis data is improved, and the problems in the prior art can be solved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
Water conservancy monitor control system based on big data includes: the system comprises a water conservancy monitoring real-time acquisition system, a water conservancy monitoring video reading and analyzing system, a water conservancy monitoring data decision system, a grid-connected alarm system and a data rejection encryption system;
the water conservancy monitoring real-time acquisition system is used for carrying out real-time shooting acquisition on different water conservancy monitoring areas through a plurality of video acquisition terminals and transmitting real-time video data of the different water conservancy monitoring areas to the water conservancy monitoring video reading analysis system through signals;
the water conservancy monitoring video reading and analyzing system is used for analyzing video images and video contents of the video data according to real-time video data of the water conservancy monitoring areas acquired by different video acquisition terminals and storing the analyzed data independently;
the water conservancy monitoring data decision system is used for carrying out abnormality investigation according to the video picture data and the video content data which are stored independently, and storing the abnormality data which are searched independently; the method comprises the steps of analyzing the abnormal data of the arranged abnormal data, distinguishing the abnormal grade of the abnormal data through calculation and comparison, performing risk assessment on the abnormal grade, and performing alarm processing on different grades on the risk assessment result;
The grid-connected alarm system is used for carrying out risk classification on the risk alarm data according to the risk alarm data of different grades and carrying out corresponding alarm according to classified category results;
the data rejection encryption system is used for rejecting abnormal data from the total data, obtaining effective data after the rejection is completed, and encrypting the effective data;
wherein, the real-time collection system of water conservancy control includes: the audio data acquisition unit is used for acquiring sensor data and audio monitoring data of the water conservancy monitoring area acquired by each video acquisition terminal; wherein the sensor data comprises: positioning a dynamic object, environment sensing data and monitoring data of a static object; the data classification unit is used for reading the sensor data and the audio monitoring data, wherein the sensor data and the audio monitoring data are composed of a plurality of variable values; determining data characteristics in sensor data and audio monitoring data, determining the category to which the data belongs according to the obtained data characteristics, and calling a classification rule of the category to which the data belongs from a rule base; classifying the variable values according to the classification rule, and packing the variable values into a plurality of sub-data sets according to the classification;
In addition, the real-time acquisition system of water conservancy monitoring still includes:
the data set number acquisition module is used for acquiring the total number of the sub-data sets acquired in a preset unit time;
the channel number acquisition module is used for acquiring communication channels between the current water conservancy monitoring real-time acquisition system and the water conservancy monitoring video reading and analyzing system, and carrying out unique coding labels on each communication channel;
the scanning module is used for scanning each communication channel in turn according to the unique coding marks to acquire the channel parameters of each communication channel; wherein the channel parameters comprise the saturation of a communication channel and the residual capacity of the current communication channel;
the calling module is used for calling the data transmission setting parameter model;
the data set single transmission number setting module is used for combining the data transmission setting parameter model and determining the number of single transmissions of the data set corresponding to each channel of single data transmission by utilizing the saturation of the communication signal and the residual capacity of the current communication channel; wherein, the data transmission setting parameter model is as follows:
wherein, C represents the number of single transmission of the data set corresponding to each channel; c (C) 0 Representing the preset reference number, C 0 The range of the value of (2) is 5-10; n represents the total number of sub-data sets; h i A data amount representing an i-th data set; h i-1 Representing the data amount of the i-1 th data set; h max Representing the maximum data volume in the data set to be transmitted currently; h γ Representing an average data amount of a data set in a data set to be currently transmitted; h b The total value of the data quantity corresponding to the channel saturation in all the current channels is represented; h z Representing the total value of the capacity occupation of all the current communication channels; h γmax Representing the maximum value of the residual capacity of a single channel in all current communication channels;
and the data transmission module is used for sequentially transmitting data through each communication channel according to the determined single transmission number of the data set.
Preferably, the data transmission module includes: the data packet forming module is used for dividing and packaging the sub-data sets to be transmitted in all the current communication channels according to the single transmission number of the data sets to obtain a plurality of standard number data packets and a residual number data packet; the data transmission execution module is used for sequentially transmitting a plurality of standard data packets to the water conservancy monitoring video reading analysis system through each communication channel; the transmission speed acquisition module is used for acquiring the data transmission speed of each communication channel in the data transmission process for the standard number of data packets and acquiring three communication channels with the highest data transmission speed; a target channel acquisition module, configured to acquire remaining communication capacities of three communication channels with the fastest current communication channel speed, and extract a communication channel with the largest remaining communication capacity as a target channel; the binding module is used for binding the allowance number data packet with any standard number data packet transmitted in a band to form a mixed data packet to be transmitted; and the binding transmission module is used for sending the mixed data packet to be transmitted to the target channel for data transmission after the current data transmission of the target channel is completed.
Preferably, the audio data acquisition unit further comprises: a video data creation module for: the method comprises the steps of creating and collecting data according to different types of creation modes, wherein the creation modes comprise four types of threads, namely an acquisition thread, a compression thread, a recombination thread and a network transmission thread; carrying out various initialization buffering on four types of threads, wherein the four types of threads comprise three types of data buffers, namely an acquisition buffer, a compression buffer and a transmission buffer, and the data buffers are used for sharing data among the multiple threads; reading a plurality of groups of data in the data buffer area, endowing different sub-data sets to the data buffer area according to the plurality of groups of read buffer data, and then placing the different sub-data sets into the compression buffer area for compression; the compression buffer zone comprises compression threads with the same number as the acquisition buffer zone, acquisition data are acquired from the acquisition buffer zone in the main cycle of the compression threads, and the acquisition data are compressed to obtain compression data; and packaging the compressed data, and compressing and reorganizing the packaged sub-data set.
Preferably, the water conservancy monitoring video reading and analyzing system comprises: a video data processing unit configured to: extracting audio data in a plurality of sub-data sets according to the plurality of sub-data sets, and carrying out audio framing on the audio data in the water conservancy monitoring area; determining a video frame corresponding to a video source file corresponding to each audio frame according to the audio frame; determining a noise signal in each video frame based on a preset video standard; determining a noise characteristic for each noise signal based on the two-dimensional wavelet transform; generating a dynamic image processing template according to the noise characteristics, and processing a plurality of groups of videos according to the image processing template; decomposing the video into multiple pictures with the frame rate as a unit according to multiple groups of videos;
An image processing unit configured to: intercepting the decomposed multi-picture at different visual angles according to the decomposed multi-picture, wherein the different visual angles are intercepted at different longitudes and latitudes; performing restorative processing on the distorted pictures in the cut pictures, fusing the pictures into pictures with large overlapping degree and small brightness difference, and automatically adjusting the colors of the pictures; confirming the picture according to the adjusted picture, and determining a gray image corresponding to each channel of the intercepted picture; and then carrying out linear spatial filtering on the gray level image corresponding to each channel according to the gray level image to obtain a filtered image, and calculating a denoised final image based on the filtered image.
Preferably, the video data processing unit further includes: an audio processing module for: according to a video acquisition terminal of a water conservancy monitoring area, extracting data characteristics of audio data acquired by the video acquisition terminal, and dividing the audio data into sound data and video data based on the data characteristics; performing voice recognition on the voice data to obtain a text file corresponding to the voice data, and processing the text file to obtain a time stamp corresponding to each sentence of text in the text file; then according to a plane image sequence corresponding to the video data, determining the association relation between the plane image sequence and the time stamp corresponding to each sentence of text in the text file; and determining a time identifier corresponding to each plane image according to the association relation, and sequencing the plane images corresponding to the video data based on the time identifiers, wherein at least one plane image is arranged at the same moment.
Preferably, the water conservancy monitoring data decision system comprises: a data comparison unit for: comparing the picture and the content of the video data with the data of the water conservancy picture and the content in the normal range value according to the obtained video data, and storing the compared threshold difference value; a threshold difference analysis unit for: acquiring a compared threshold difference value, performing risk level analysis on the threshold difference value, wherein the higher the threshold difference value is, the higher the risk degree is, the lower the threshold difference value is, and finally obtaining abnormal data; the abnormal data reading module is used for: counting the compared target values which are larger than or equal to the preset threshold difference value; acquiring the hydraulic data of each video acquisition terminal with successful historical transmission, analyzing the hydraulic data of which the historical transmission is successful, determining the integrity and the safety of the hydraulic data, and evaluating the hydraulic data threat risk index and the hydraulic data vulnerability risk index of the video acquisition terminal according to the integrity and the safety; according to the threshold value of the target value of each video acquisition terminal, the water conservancy data threat risk index and the water conservancy data vulnerability risk index of the video acquisition terminal, calculating the safety index of the video acquisition terminal by using a preset water conservancy risk assessment system; and the abnormal data of different data types and different grades are stored.
Preferably, the grid-connected alarm system is further configured to: alarming the risks with different intensities according to the degree of abnormal data in the video; and according to the analyzed different types of water conservancy risk data, different types of alarms are carried out on the water conservancy risk data.
Preferably, the data rejection encryption system includes: the effective data extraction module is used for: removing abnormal data analyzed in the data set, and obtaining effective data after removing; the effective data decoding and encrypting module is used for: decoding the obtained effective data, taking the decoded data as original data, dividing the original data into segments to be encrypted with preset length, and establishing an encryption sequence based on the segments to be encrypted; according to the number of the segments to be encrypted, taking the encryption sequence as a first column of a matrix, and establishing a first encryption matrix; adjusting a first position of each segment to be encrypted on a corresponding row of the first encryption matrix based on a preset interference factor, and performing first encryption on the first encryption matrix after adjustment; acquiring a corresponding interference password in a preset password set based on the interference times, and rolling out a random number by using the encrypted dice; marking a second location in each row of the first encryption matrix that is separated from the first location by a random number; sequentially inputting the interference passwords to the second position for second encryption, and establishing a second encryption matrix; determining that the current encryption degree is insufficient when the first number of blank positions in the second encryption matrix is greater than the second number of non-blank positions; sequentially removing the outermost peripheral position of the second matrix to generate a plurality of sub-encryption matrixes; if the specification of one sub-encryption matrix is n×n, the specification of the previous sub-encryption matrix is (n+1) ×n+1, and the minimum value of N is 2, and the maximum value is related to the specification of the second encryption matrix; respectively calculating the encryption rank of each sub encryption matrix, and generating a rank password based on all the encryption ranks; inputting the rank password into the second encryption matrix for third encryption to obtain a third encryption matrix; randomly generating a homotype matrix based on the specification of the third encryption matrix; marking the residual blank positions on the third encryption matrix, and superposing the marked third encryption matrix and the homotype matrix to obtain the superposition number generated by the marked positions; inputting the superposition number to the residual blank position to obtain a full encryption matrix; and extracting data corresponding to each position in the full encryption matrix to obtain encrypted water conservancy data.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the hydraulic monitoring control system based on big data, the collected video data can be shot and collected through the sensors of the plurality of hydraulic monitoring areas for positioning dynamic objects, environment sensing data and monitoring data of static objects in the hydraulic areas, the reorganization thread packs compressed video frames of the same frame number of all channels into reorganized video frames according to the frame numbers, the compressed video frames are carried out on the video frame data, the compressed video frames are reorganized, the video frames can be effectively reduced, instability caused by overlarge frames is prevented, and the synchronization of videos under the hydraulic monitoring areas collected by the plurality of collecting devices of each hydraulic monitoring collecting area can be well ensured through the compressed reorganization of the video.
2. The water conservancy monitoring control system based on big data provided by the invention has the advantages that the water conservancy monitoring acquisition terminal not only acquires pictures, but also can acquire audio in a monitoring range, the acquired audio data and video data are respectively processed, the audio is firstly subjected to denoising processing in the processing process, the noise characteristics possibly occurring in all video source files are obtained by adopting a video denoising processing mode taking an audio signal as a reference, after the noise characteristics are understood, a processing template is generated through the noise characteristics, and a plurality of groups of videos are processed through the processing template, so that the system belongs to a closed-loop video processing method, and the processed images can be obtained more quickly through video processing through all the noise characteristics possibly occurring in the source files. Noise in video data is the problems of blurring, too heavy color or too high exposure degree in the video data, so that the running condition of water conservancy in video can be effectively compared and checked through the synchronization of water flow sound and video pictures, and the accuracy of data analysis is improved.
3. According to the water conservancy monitoring control system based on big data, when errors or shifts are set in main water conservancy monitoring objects in a video image, threshold value difference occurs when the video image is compared with a normal image, abnormal data are generated, meanwhile, a plurality of acquisition terminals are provided with temperature sensors and open fire sensors, when the sensors are abnormal, the abnormal data can transmit the data to a water conservancy monitoring data decision system, risk abnormal data are automatically generated, information of the acquisition terminals is transmitted while the generation is performed, the video image of the water conservancy monitoring is compared with the normal water conservancy image to generate the abnormal data, the grade of the abnormal data is classified according to the value of the threshold value difference, the greater the threshold value difference is, the lower the risk degree is, the smaller the threshold value difference is, the risk degree is classified by a grid-connected alarm system, targeted alarm processing is performed according to the classified types, the risk is effectively reduced due to the fact that the risk is not processed in time, and the portability of an unattended water conservancy monitoring area is improved.
Drawings
FIG. 1 is a schematic diagram of an overall system for hydraulic monitoring control according to the present invention;
FIG. 2 is a schematic diagram of a real-time acquisition system for water conservancy monitoring according to the present invention;
FIG. 3 is a schematic diagram of a system for reading and analyzing a water conservancy monitoring video;
FIG. 4 is a schematic diagram of a water conservancy monitoring data decision system module according to the present invention;
fig. 5 is a schematic diagram of a data reject encryption system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the problem that in the prior art, when video shooting monitoring is performed on a water conservancy monitoring area, due to the fact that the number of video acquisition terminals is too large, when video is transmitted after the completion of video acquisition, the stability of video transmission is poor and the synchronism cannot be well ensured during multi-video acquisition, please refer to fig. 1-2, and the following technical scheme is provided in this embodiment:
the water conservancy monitoring control system based on the big data comprises a water conservancy monitoring real-time acquisition system, a water conservancy monitoring video reading and analyzing system, a water conservancy monitoring data decision system, a grid-connected alarm system and a data rejection encryption system.
The water conservancy monitoring real-time acquisition system is used for carrying out real-time shooting acquisition on different water conservancy monitoring areas through a plurality of video acquisition terminals and transmitting real-time video data of the different water conservancy monitoring areas to the water conservancy monitoring video reading analysis system through signals;
the water conservancy monitoring video reading and analyzing system is used for analyzing video images and video contents of the video data according to real-time video data of the water conservancy monitoring areas acquired by different video acquisition terminals and storing the analyzed data independently;
the water conservancy monitoring data decision system is used for carrying out abnormality investigation according to the video picture data and the video content data which are stored independently, and storing the abnormality data which are searched independently; the method comprises the steps of analyzing the abnormal data of the arranged abnormal data, distinguishing the abnormal grade of the abnormal data through calculation and comparison, performing risk assessment on the abnormal grade, and performing alarm processing on different grades on the risk assessment result;
the grid-connected alarm system is used for carrying out risk classification on the risk alarm data according to the risk alarm data of different grades and carrying out corresponding alarm according to classified category results;
And the data rejection encryption system is used for rejecting the abnormal data from the total data, obtaining effective data after the rejection is completed, and encrypting the effective data.
The real-time acquisition system of water conservancy monitoring includes: the audio data acquisition unit is used for acquiring sensor data and audio monitoring data of the water conservancy monitoring area acquired by each video acquisition terminal; wherein the sensor data comprises: positioning a dynamic object, environment sensing data and monitoring data of a static object; the data classification unit is used for reading the sensor data and the audio monitoring data, wherein the sensor data and the audio monitoring data are composed of a plurality of variable values; determining data characteristics in sensor data and audio monitoring data, determining the category to which the data belongs according to the obtained data characteristics, and calling a classification rule of the category to which the data belongs from a rule base; and classifying the variable values according to the classification rule, and packaging the variable values into a plurality of sub-data sets according to the classification.
Meanwhile, the audio data acquisition unit further comprises: a video data creation module for: the method comprises the steps of creating and collecting data according to different types of creation modes, wherein the creation modes comprise four types of threads, namely an acquisition thread, a compression thread, a recombination thread and a network transmission thread; carrying out various initialization buffering on four types of threads, wherein the four types of threads comprise three types of data buffers, namely an acquisition buffer, a compression buffer and a transmission buffer, and the data buffers are used for sharing data among the multiple threads; reading a plurality of groups of data in the data buffer area, endowing different sub-data sets to the data buffer area according to the plurality of groups of read buffer data, and then placing the different sub-data sets into the compression buffer area for compression; the compression buffer zone comprises compression threads with the same number as the acquisition buffer zone, acquisition data are acquired from the acquisition buffer zone in the main cycle of the compression threads, and the acquisition data are compressed to obtain compression data; and packaging the compressed data, and compressing and reorganizing the packaged sub-data set.
Specifically, a plurality of video acquisition terminals in the audio data acquisition unit are respectively distributed at the positions of a dike dam, a sluice, a water level bar, a water pump unit and a wind port, wherein the types of video monitoring equipment are as follows: for outdoor monitoring points such as dam tops, wind-shelters, sluice pump station building bodies and the like, due to the large monitoring range and wide visual field requirements, the high-definition intelligent high-speed dome camera is recommended, the panoramic monitoring is guaranteed due to the high-definition high-speed characteristic, details are not omitted, and for places with large indoor areas, the infrared medium-speed intelligent dome camera can be adopted to ensure that all-around no dead angle is formed in video monitoring; the high-definition zoom camera can be matched with the cradle head to monitor hydrologic observation facilities, blasting points of flood diversion areas and the like; the fixed targets such as a gate, a water outlet of a water pump and the like can be monitored by adopting a fixed gun camera, wherein the collected video data can be shot and collected by a plurality of sensors of a water conservancy monitoring area for positioning dynamic objects, environment sensing data and monitoring data of static objects in the water conservancy area, after the video data of a plurality of water conservancy areas are collected, the data are respectively processed by a video data creation module, the video frame data are compressed to obtain compressed video frames, and the compressed video frames of a plurality of channels are required to be recombined before the compressed video frames are transmitted. The reorganization thread packs the compressed video frames of the same frame number of all channels into reorganized video frames according to the frame numbers, compressed video frames are carried out on video frame data, and then the compressed video frames are reorganized, so that the video frames can be effectively reduced, instability caused by overlarge frames is prevented, and through video compression reorganization, the video under the water conservancy monitoring area collected by a plurality of collecting devices of each water conservancy monitoring collecting area is ensured, and the synchronism can be well ensured.
In order to solve the problems that in the prior art, a shot picture under water conservancy monitoring cannot be processed and analyzed, so that picture quality is poor, picture content cannot be analyzed timely and rapidly, an analysis result is wrong, and water conservancy engineering works cannot normally run, please refer to fig. 3, the embodiment provides the following technical scheme:
the water conservancy monitoring video reading and analyzing system comprises: a video data processing unit configured to: extracting audio data in a plurality of sub-data sets according to the plurality of sub-data sets, and carrying out audio framing on the audio data in the water conservancy monitoring area; determining a video frame corresponding to a video source file corresponding to each audio frame according to the audio frame; determining a noise signal in each video frame based on a preset video standard; determining a noise characteristic for each noise signal based on the two-dimensional wavelet transform; generating a dynamic image processing template according to the noise characteristics, and processing a plurality of groups of videos according to the image processing template; decomposing the video into multiple pictures with the frame rate as a unit according to multiple groups of videos; an image processing unit configured to: intercepting the decomposed multi-picture at different visual angles according to the decomposed multi-picture, wherein the different visual angles are intercepted at different longitudes and latitudes; performing restorative processing on the distorted pictures in the cut pictures, fusing the pictures into pictures with large overlapping degree and small brightness difference, and automatically adjusting the colors of the pictures; confirming the picture according to the adjusted picture, and determining a gray image corresponding to each channel of the intercepted picture; and then carrying out linear spatial filtering on the gray level image corresponding to each channel according to the gray level image to obtain a filtered image, and calculating a denoised final image based on the filtered image.
Furthermore, the video data processing unit further includes: an audio processing module for: according to a video acquisition terminal of a water conservancy monitoring area, extracting data characteristics of audio data acquired by the video acquisition terminal, and dividing the audio data into sound data and video data based on the data characteristics; performing voice recognition on the voice data to obtain a text file corresponding to the voice data, and processing the text file to obtain a time stamp corresponding to each sentence of text in the text file; then according to a plane image sequence corresponding to the video data, determining the association relation between the plane image sequence and the time stamp corresponding to each sentence of text in the text file; and determining a time identifier corresponding to each plane image according to the association relation, and sequencing the plane images corresponding to the video data based on the time identifiers, wherein at least one plane image is arranged at the same moment.
Specifically, the water conservancy monitoring acquisition terminal not only acquires pictures, but also can acquire audio in a monitoring range, and respectively processes acquired audio data and video data, noise removal processing is performed on the audio in the processing process, because in the final acquisition video inspection, audio and video are required to be matched, a video noise elimination processing mode taking an audio signal as a reference is adopted, in the process, firstly, the audio data in a plurality of groups of videos are extracted, the sequence of the audio data is arranged after audio framing, sequencing planning of the audio data is realized, after the audio data sequence is accurate, video frames are determined through video source files, the video frames are matched through the audio data, noise in the video frames is processed, the process adopts two-dimensional wavelet transformation, then noise characteristics possibly appearing in all the video source files are obtained, after the noise characteristics are known, a processing template is generated through the noise characteristics, a plurality of groups of videos are processed through the processing template, the video processing mode belongs to the possible noise characteristics, the processed images can be obtained more rapidly, and the processed images are all the processed according to the possible noise characteristics. Noise in video data is the problems of blurring, too heavy color or too high exposure degree in the video data, so that the running condition of water conservancy in video can be effectively compared and checked through the synchronization of water flow sound and video pictures, and the accuracy of data analysis is improved.
With this complex water conservancy control real-time acquisition system still includes:
the data set number acquisition module is used for acquiring the total number of the sub-data sets acquired in a preset unit time; the channel number acquisition module is used for acquiring communication channels between the current water conservancy monitoring real-time acquisition system and the water conservancy monitoring video reading and analyzing system, and carrying out unique coding labels on each communication channel; the scanning module is used for scanning each communication channel in turn according to the unique coding marks to acquire the channel parameters of each communication channel; wherein the channel parameters comprise the saturation of a communication channel and the residual capacity of the current communication channel; the calling module is used for calling the data transmission setting parameter model; the data set single transmission number setting module is used for combining the data transmission setting parameter model and determining the number of single transmissions of the data set corresponding to each channel of single data transmission by utilizing the saturation of the communication signal and the residual capacity of the current communication channel; wherein, the data transmission setting parameter model is as follows:
wherein, C represents the number of single transmission of the data set corresponding to each channel; c (C) 0 Representing the preset reference number, C 0 The range of the value of (2) is 5-10; n represents the total number of sub-data sets; h i A data amount representing an i-th data set; h i-1 Representing the data amount of the i-1 th data set; h max Representing the maximum data volume in the data set to be transmitted currently; h γ Representing an average data amount of a data set in a data set to be currently transmitted; h b The total value of the data quantity corresponding to the channel saturation in all the current channels is represented; h z Representing the total value of the capacity occupation of all the current communication channels; h γmax Representing the maximum value of the residual capacity of a single channel in all current communication channels;
and the data transmission module is used for sequentially transmitting data through each communication channel according to the determined single transmission number of the data set.
Wherein, data transmission module includes: the data packet forming module is used for dividing and packaging the sub-data sets to be transmitted in all the current communication channels according to the single transmission number of the data sets to obtain a plurality of standard number data packets and a residual number data packet; the data transmission execution module is used for sequentially transmitting a plurality of standard data packets to the water conservancy monitoring video reading analysis system through each communication channel; the transmission speed acquisition module is used for acquiring the data transmission speed of each communication channel in the data transmission process for the standard number of data packets and acquiring three communication channels with the highest data transmission speed; a target channel acquisition module, configured to acquire remaining communication capacities of three communication channels with the fastest current communication channel speed, and extract a communication channel with the largest remaining communication capacity as a target channel; the binding module is used for binding the allowance number data packet with any standard number data packet transmitted in a band to form a mixed data packet to be transmitted; and the binding transmission module is used for sending the mixed data packet to be transmitted to the target channel for data transmission after the current data transmission of the target channel is completed.
According to the method, the matching degree between the data set transmission number and the actual channel condition can be effectively improved by setting the data set transmission number according to the actual channel condition, so that the data transmission efficiency and the data transmission stability are effectively improved, the problem that the data set cannot be set pertinently according to parameters such as the actual channel saturation and the like due to the fact that the single data transmission amount is too large, the data transmission efficiency is influenced due to channel blocking, and the problem that the channel resource is wasted due to the fact that the single data transmission amount is too small is solved.
In order to solve the problem that in the prior art, after video processing is performed, abnormality investigation decision cannot be intelligently performed on the video according to content and pictures in the video, so that timely alarm processing cannot be performed when risks exist, meanwhile, effective data in collected data are not encrypted, so that abnormal loopholes appear in the data in a database, please refer to fig. 4 and 5, the embodiment provides the following technical scheme:
the water conservancy monitoring data decision system comprises: a data comparison unit for: comparing the picture and the content of the video data with the data of the water conservancy picture and the content in the normal range value according to the obtained video data, and storing the compared threshold difference value; a threshold difference analysis unit for: acquiring a compared threshold difference value, performing risk level analysis on the threshold difference value, wherein the higher the threshold difference value is, the higher the risk degree is, the lower the threshold difference value is, and finally obtaining abnormal data; the abnormal data reading module is used for: counting the compared target values which are larger than or equal to the preset threshold difference value; acquiring the hydraulic data of each video acquisition terminal with successful historical transmission, analyzing the hydraulic data of which the historical transmission is successful, determining the integrity and the safety of the hydraulic data, and evaluating the hydraulic data threat risk index and the hydraulic data vulnerability risk index of the video acquisition terminal according to the integrity and the safety; according to the threshold value of the target value of each video acquisition terminal, the water conservancy data threat risk index and the water conservancy data vulnerability risk index of the video acquisition terminal, calculating the safety index of the video acquisition terminal by using a preset water conservancy risk assessment system; and the abnormal data of different data types and different grades are stored.
The grid-connected alarm system is further used for: alarming the risks with different intensities according to the degree of abnormal data in the video; and according to the analyzed different types of water conservancy risk data, different types of alarms are carried out on the water conservancy risk data.
The data rejection encryption system comprises: the effective data extraction module is used for: removing abnormal data analyzed in the data set, and obtaining effective data after removing; the effective data decoding and encrypting module is used for: decoding the obtained effective data, taking the decoded data as original data, dividing the original data into segments to be encrypted with preset length, and establishing an encryption sequence based on the segments to be encrypted; according to the number of the segments to be encrypted, taking the encryption sequence as a first column of a matrix, and establishing a first encryption matrix; adjusting a first position of each segment to be encrypted on a corresponding row of the first encryption matrix based on a preset interference factor, and performing first encryption on the first encryption matrix after adjustment; acquiring a corresponding interference password in a preset password set based on the interference times, and rolling out a random number by using the encrypted dice; marking a second location in each row of the first encryption matrix that is separated from the first location by a random number; sequentially inputting the interference passwords to the second position for second encryption, and establishing a second encryption matrix; determining that the current encryption degree is insufficient when the first number of blank positions in the second encryption matrix is greater than the second number of non-blank positions; sequentially removing the outermost peripheral position of the second matrix to generate a plurality of sub-encryption matrixes; if the specification of one sub-encryption matrix is n×n, the specification of the previous sub-encryption matrix is (n+1) ×n+1, and the minimum value of N is 2, and the maximum value is related to the specification of the second encryption matrix; respectively calculating the encryption rank of each sub encryption matrix, and generating a rank password based on all the encryption ranks; inputting the rank password into the second encryption matrix for third encryption to obtain a third encryption matrix; randomly generating a homotype matrix based on the specification of the third encryption matrix; marking the residual blank positions on the third encryption matrix, and superposing the marked third encryption matrix and the homotype matrix to obtain the superposition number generated by the marked positions; inputting the superposition number to the residual blank position to obtain a full encryption matrix; and extracting data corresponding to each position in the full encryption matrix to obtain encrypted water conservancy data.
Specifically, the data comparison unit is used for comparing the finally obtained video image with the normal image stored in the database, when the main water conservancy monitoring object in the video image is set to be wrong or shifted, the threshold value difference appears when the video image is compared with the normal image, abnormal data are generated, meanwhile, the temperature sensors and the open fire sensors are arranged on the plurality of acquisition terminals, when the sensors are abnormal, the abnormal data can transmit the data to the water conservancy monitoring data decision system, risk abnormal data are automatically generated, information of the acquisition terminals is transmitted when the abnormal data are generated, the video image is compared with the abnormal data generated after the normal image, the level of the abnormal data is classified according to the value of the threshold value difference, the risk degree is higher when the comparison access is larger, the risk degree is lower when the comparison access is smaller, the risk degree is classified by the grid-connected alarm system, the specific alarm processing is performed according to the classified types, the diffusion of the abnormal data which is not processed in time can be effectively reduced, the effective data are read, the effective data are effectively processed, the effective data are effectively encrypted, the safety of the data can be effectively encrypted, and the data can be stored, and the normal data can be better is ensured, and the safety is better ensured.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. Water conservancy monitor control system based on big data, its characterized in that: comprising the following steps:
the water conservancy monitoring real-time acquisition system is used for carrying out real-time shooting acquisition on different water conservancy monitoring areas through a plurality of video acquisition terminals and transmitting real-time video data of the different water conservancy monitoring areas to the water conservancy monitoring video reading analysis system through signals;
The water conservancy monitoring video reading and analyzing system is used for analyzing video images and video contents of the video data according to real-time video data of the water conservancy monitoring areas acquired by different video acquisition terminals and storing the analyzed data independently;
the water conservancy monitoring data decision system is used for carrying out abnormality investigation according to the video picture data and the video content data which are stored independently, and storing the abnormality data which are searched independently;
the method comprises the steps of analyzing the abnormal data of the arranged abnormal data, distinguishing the abnormal grade of the abnormal data through calculation and comparison, performing risk assessment on the abnormal grade, and performing alarm processing on different grades on the risk assessment result;
the grid-connected alarm system is used for carrying out risk classification on the risk alarm data according to the risk alarm data of different grades and carrying out corresponding alarm according to classified category results;
the data rejection encryption system is used for rejecting abnormal data from the total data, obtaining effective data after the rejection is completed, and encrypting the effective data;
wherein, the real-time collection system of water conservancy control includes:
the audio data acquisition unit is used for acquiring sensor data and audio monitoring data of the water conservancy monitoring area acquired by each video acquisition terminal; wherein the sensor data comprises: positioning a dynamic object, environment sensing data and monitoring data of a static object;
The data classification unit is used for reading the sensor data and the audio monitoring data, wherein the sensor data and the audio monitoring data are composed of a plurality of variable values;
determining data characteristics in sensor data and audio monitoring data, determining the category to which the data belongs according to the obtained data characteristics, and calling a classification rule of the category to which the data belongs from a rule base;
classifying the variable values according to the classification rule, and packing the variable values into a plurality of sub-data sets according to the classification;
in addition, the real-time acquisition system of water conservancy monitoring still includes:
the data set number acquisition module is used for acquiring the total number of the sub-data sets acquired in a preset unit time;
the channel number acquisition module is used for acquiring communication channels between the current water conservancy monitoring real-time acquisition system and the water conservancy monitoring video reading and analyzing system, and carrying out unique coding labels on each communication channel;
the scanning module is used for scanning each communication channel in turn according to the unique coding marks to acquire the channel parameters of each communication channel; wherein the channel parameters comprise the saturation of a communication channel and the residual capacity of the current communication channel;
The calling module is used for calling the data transmission setting parameter model;
the data set single transmission number setting module is used for combining the data transmission setting parameter model and determining the number of single transmissions of the data set corresponding to each channel of single data transmission by utilizing the saturation of the communication signal and the residual capacity of the current communication channel; wherein, the data transmission setting parameter model is as follows:
wherein, C represents the number of single transmission of the data set corresponding to each channel; c (C) 0 Representing the preset reference number, C 0 The range of the value of (2) is 5-10; n represents the total number of sub-data sets; h i A data amount representing an i-th data set; h i-1 Representing the data amount of the i-1 th data set; h max Representing the maximum data volume in the data set to be transmitted currently; h γ Representing an average data amount of a data set in a data set to be currently transmitted; h b The total value of the data quantity corresponding to the channel saturation in all the current channels is represented; h z Representing the total value of the capacity occupation of all the current communication channels; h γmax Representing the maximum value of the residual capacity of a single channel in all current communication channels;
and the data transmission module is used for sequentially transmitting data through each communication channel according to the determined single transmission number of the data set.
2. The big data based hydraulic monitoring control system of claim 1, wherein: the data transmission module comprises:
the data packet forming module is used for dividing and packaging the sub-data sets to be transmitted in all the current communication channels according to the single transmission number of the data sets to obtain a plurality of standard number data packets and a residual number data packet;
the data transmission execution module is used for sequentially transmitting a plurality of standard data packets to the water conservancy monitoring video reading analysis system through each communication channel;
the transmission speed acquisition module is used for acquiring the data transmission speed of each communication channel in the data transmission process for the standard number of data packets and acquiring three communication channels with the highest data transmission speed;
a target channel acquisition module, configured to acquire remaining communication capacities of three communication channels with the fastest current communication channel speed, and extract a communication channel with the largest remaining communication capacity as a target channel;
the binding module is used for binding the allowance number data packet with any standard number data packet transmitted in a band to form a mixed data packet to be transmitted;
and the binding transmission module is used for sending the mixed data packet to be transmitted to the target channel for data transmission after the current data transmission of the target channel is completed.
3. The big data based water conservancy monitoring control system according to claim 2, wherein: the audio data acquisition unit further comprises:
a video data creation module for: the method comprises the steps of creating and collecting data according to different types of creation modes, wherein the creation modes comprise four types of threads, namely an acquisition thread, a compression thread, a recombination thread and a network transmission thread;
carrying out various initialization buffering on four types of threads, wherein the four types of threads comprise three types of data buffers, namely an acquisition buffer, a compression buffer and a transmission buffer, and the data buffers are used for sharing data among the multiple threads;
reading a plurality of groups of data in the data buffer area, endowing different sub-data sets to the data buffer area according to the plurality of groups of read buffer data, and then placing the different sub-data sets into the compression buffer area for compression;
the compression buffer zone comprises compression threads with the same number as the acquisition buffer zone, acquisition data are acquired from the acquisition buffer zone in the main cycle of the compression threads, and the acquisition data are compressed to obtain compression data;
and packaging the compressed data, and compressing and reorganizing the packaged sub-data set.
4. The big data based water conservancy monitoring control system of claim 3, wherein: the water conservancy monitoring video reading and analyzing system comprises:
a video data processing unit configured to:
extracting audio data in a plurality of sub-data sets according to the plurality of sub-data sets, and carrying out audio framing on the audio data in the water conservancy monitoring area;
determining a video frame corresponding to a video source file corresponding to each audio frame according to the audio frame;
determining a noise signal in each video frame based on a preset video standard;
determining a noise characteristic for each noise signal based on the two-dimensional wavelet transform;
generating a dynamic image processing template according to the noise characteristics, and processing a plurality of groups of videos according to the image processing template;
decomposing the video into multiple pictures with the frame rate as a unit according to multiple groups of videos;
an image processing unit configured to:
intercepting the decomposed multi-picture at different visual angles according to the decomposed multi-picture, wherein the different visual angles are intercepted at different longitudes and latitudes;
performing restorative processing on the distorted pictures in the cut pictures, fusing the pictures into pictures with large overlapping degree and small brightness difference, and automatically adjusting the colors of the pictures;
Confirming the picture according to the adjusted picture, and determining a gray image corresponding to each channel of the intercepted picture;
and then carrying out linear spatial filtering on the gray level image corresponding to each channel according to the gray level image to obtain a filtered image, and calculating a denoised final image based on the filtered image.
5. The big data based hydraulic monitoring control system of claim 4, wherein: the video data processing unit further includes:
an audio processing module for:
according to a video acquisition terminal of a water conservancy monitoring area, extracting data characteristics of audio data acquired by the video acquisition terminal, and dividing the audio data into sound data and video data based on the data characteristics;
performing voice recognition on the voice data to obtain a text file corresponding to the voice data, and processing the text file to obtain a time stamp corresponding to each sentence of text in the text file;
then according to a plane image sequence corresponding to the video data, determining the association relation between the plane image sequence and the time stamp corresponding to each sentence of text in the text file;
and determining a time identifier corresponding to each plane image according to the association relation, and sequencing the plane images corresponding to the video data based on the time identifiers, wherein at least one plane image is arranged at the same moment.
6. The big data based hydraulic monitoring control system of claim 5, wherein: the water conservancy monitoring data decision system comprises:
a data comparison unit for:
comparing the picture and the content of the video data with the data of the water conservancy picture and the content in the normal range value according to the obtained video data, and storing the compared threshold difference value;
a threshold difference analysis unit for:
acquiring a compared threshold difference value, performing risk level analysis on the threshold difference value, wherein the higher the threshold difference value is, the higher the risk degree is, the lower the threshold difference value is, and finally obtaining abnormal data;
the abnormal data reading module is used for:
counting the compared target values which are larger than or equal to the preset threshold difference value;
acquiring the hydraulic data of each video acquisition terminal with successful historical transmission, analyzing the hydraulic data of which the historical transmission is successful, determining the integrity and the safety of the hydraulic data, and evaluating the hydraulic data threat risk index and the hydraulic data vulnerability risk index of the video acquisition terminal according to the integrity and the safety;
according to the threshold value of the target value of each video acquisition terminal, the water conservancy data threat risk index and the water conservancy data vulnerability risk index of the video acquisition terminal, calculating the safety index of the video acquisition terminal by using a preset water conservancy risk assessment system;
And the abnormal data of different data types and different grades are stored.
7. The big data based hydraulic monitoring control system of claim 6, wherein: the grid-connected alarm system is further used for:
alarming the risks with different intensities according to the degree of abnormal data in the video;
and according to the analyzed different types of water conservancy risk data, different types of alarms are carried out on the water conservancy risk data.
8. The big data based hydraulic monitoring control system of claim 7, wherein: the data rejection encryption system comprises:
the effective data extraction module is used for:
removing abnormal data analyzed in the data set, and obtaining effective data after removing;
the effective data decoding and encrypting module is used for:
decoding the obtained effective data, taking the decoded data as original data, dividing the original data into segments to be encrypted with preset length, and establishing an encryption sequence based on the segments to be encrypted;
according to the number of the segments to be encrypted, taking the encryption sequence as a first column of a matrix, and establishing a first encryption matrix;
adjusting a first position of each segment to be encrypted on a corresponding row of the first encryption matrix based on a preset interference factor, and performing first encryption on the first encryption matrix after adjustment;
Acquiring a corresponding interference password in a preset password set based on the interference times, and rolling out a random number by using the encrypted dice;
marking a second location in each row of the first encryption matrix that is separated from the first location by a random number;
sequentially inputting the interference passwords to the second position for second encryption, and establishing a second encryption matrix;
determining that the current encryption degree is insufficient when the first number of blank positions in the second encryption matrix is greater than the second number of non-blank positions;
sequentially removing the outermost peripheral position of the second matrix to generate a plurality of sub-encryption matrixes;
if the specification of one sub-encryption matrix is n×n, the specification of the previous sub-encryption matrix is (n+1) ×n+1, and the minimum value of N is 2, and the maximum value is related to the specification of the second encryption matrix;
respectively calculating the encryption rank of each sub encryption matrix, and generating a rank password based on all the encryption ranks;
inputting the rank password into the second encryption matrix for third encryption to obtain a third encryption matrix;
randomly generating a homotype matrix based on the specification of the third encryption matrix;
marking the residual blank positions on the third encryption matrix, and superposing the marked third encryption matrix and the homotype matrix to obtain the superposition number generated by the marked positions;
Inputting the superposition number to the residual blank position to obtain a full encryption matrix;
and extracting data corresponding to each position in the full encryption matrix to obtain encrypted water conservancy data.
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