CN112613396A - Task emergency degree processing method and system - Google Patents
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Abstract
The application discloses a task emergency degree processing method and system. The system comprises task acquisition equipment, a task distribution system and a task emergency processing system; the task acquisition equipment acquires the law enforcement task and uploads the law enforcement task to the task distribution system; the task distribution system separates the law enforcement tasks, extracts key frames containing target characteristics from the separated law enforcement videos, and counts task frequency according to the key frames, the separated video shooting parameters and the law enforcement task parameters to form the law enforcement tasks to be processed and sends the law enforcement tasks to the task emergency processing system; the task emergency processing system extracts the position of the task, the frequency of the task and the time of the task from the to-be-processed law enforcement task, calculates the task emergency degree and carries out corresponding task emergency response according to the task emergency degree. By adopting the technical scheme, the data transmission safety can be ensured, the data processing amount is reduced, and the data transmission efficiency is improved.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and a system for processing a task emergency degree.
Background
With the enhancement of the environmental awareness of people, the continuous improvement of the informatization system of the environmental protection business department and the promotion of paperless office work, the daily supervision and law enforcement of the law enforcement department also gradually becomes electronic and intelligent. The main inspection modes of the traditional environment supervision law enforcement department are roughly as follows: daily supervision enforcement, double random patrols, public reporting or petition complaint problem patrols, other emergency patrols;
aiming at the above modes, corresponding law enforcement systems exist in systems of environment supervision law enforcement departments at all levels, wherein the main law enforcement process is as follows: the supervision law enforcement personnel receive and inquire out the supervision law enforcement work of this day through removing the end and supervise the law enforcement, can accomplish the synchronization of PC end and removal APP end information, guarantee the uniformity of data, improve the law enforcement level, the law enforcement efficiency of supervision law enforcement department, the trace is left in the law enforcement, accomplishes transparent law enforcement.
However, the above method has the following problems: the daily supervision and law enforcement work is too much, the emergency degree of tasks cannot be visually identified, and important law enforcement tasks cannot be identified in the fastest time; in the law enforcement process, the mobile phone cannot be checked in time, so that the law enforcement work content is omitted. Therefore, a scheme for identifying and reminding the emergency degree of the law enforcement task, which is convenient, intuitive and efficient, is urgently needed.
Disclosure of Invention
The application provides a task emergency processing system, which comprises task acquisition equipment, a task distribution system and a task emergency processing system;
the task acquisition equipment acquires a law enforcement task comprising a law enforcement video, a law enforcement task position and law enforcement task occurrence time, and uploads the law enforcement task to the task distribution system;
the task distribution system separates law enforcement videos, video shooting parameters and law enforcement task parameters from the law enforcement tasks, extracts key frames containing target features from the separated law enforcement videos, counts the frequency of the same type of law enforcement tasks according to the key frames, the video shooting parameters and the law enforcement task parameters, and sends the law enforcement tasks to be processed to the task emergency processing system by combining the positions of the tasks, the frequency of the tasks and the time of the tasks;
the task emergency processing system extracts the position of the task, the frequency of the task and the time of the task from the to-be-processed law enforcement task, calculates the task emergency degree based on the position coefficient of the task, the frequency coefficient of the task and the time coefficient of the task and in combination with corresponding weights, and performs corresponding task emergency response according to the task emergency degree.
The task emergency processing system comprises a task acquisition device, a task distribution system and a task management system, wherein the task acquisition device writes video shooting parameters including a video shooting timestamp, a video shooting position and a task acquisition device identifier before acquiring a first image frame of a law enforcement video, and writes law enforcement task parameters including a position where the law enforcement task occurs and a time when the law enforcement task occurs after acquiring a last image frame, so as to obtain a video file including the video shooting parameters and the law enforcement task parameters, and then encrypts and uploads the video file to the task distribution system.
The task emergency processing system comprises a task distribution system, a task processing module and a task processing module, wherein the task distribution system comprises a separation module, a video key frame extraction module and a task statistics and pushing module; the separation module is used for separating and obtaining a law enforcement video, video shooting parameters and law enforcement task parameters from the law enforcement task; the video key frame extraction module is used for extracting key frames containing target features from the separated law enforcement videos; and the task statistics pushing module is used for counting the frequency of the law enforcement tasks of the same type according to the key frames, the video shooting parameters and the law enforcement task parameters, and forming the law enforcement task to be processed by the position where the task occurs, the frequency of the task occurs and the time of the task occurrence and issuing the law enforcement task to the task emergency processing system.
The system for processing the task emergency degree, wherein the task distribution system further comprises a detection module for performing validity detection on the video shooting parameter and the law enforcement task parameter.
The system for processing the emergency degree of the task, wherein the task distribution system further comprises a video preprocessing module for performing definition processing on the separated law enforcement video.
The task emergency processing system comprises a task distribution system and a video similarity calculation module, wherein the task distribution system further comprises the video similarity calculation module, the video similarity calculation module is used for calculating the similarity of key frames of law enforcement videos separated from a plurality of video files uploaded by the task collection video, the law enforcement task occurrence positions in the law enforcement task parameters and the law enforcement task occurrence time, finding out the video file with the highest similarity, and using the video file as the video file of the same type.
The task emergency processing system is characterized in that the task statistics pushing module is further used for counting the law enforcement tasks within the preset time range, counting the number of the video files of the same type, sequencing the law enforcement tasks of the multiple types according to the number of the video files to obtain a to-be-processed law enforcement task sequencing table, and pushing the to-be-processed law enforcement tasks to the task emergency processing system.
The task emergency processing system comprises a task extraction module, a task emergency calculation module and a task emergency response module; the task extraction module is used for receiving the law enforcement task through the task emergency degree recognition engine and extracting the position, frequency and time of the task from the law enforcement task; the task emergency degree calculation module is used for calculating and obtaining the task emergency degree by combining corresponding weights based on a position coefficient of task occurrence, a frequency coefficient of task occurrence and a time coefficient of task occurrence; and the task emergency response module carries out corresponding task emergency response according to the task emergency degree.
The task emergency degree processing system as described above, wherein the task emergency response module sets a fourth-level emergency degree, and includes: the emergency degree is first grade, and the hardware is called every 5 minutes to play sound with high tone and high frequency; the emergency degree is two-level, and the hardware is called every 30 minutes to play sound with high tone and low frequency; the emergency degree is three, and the hardware is called every 60 minutes to play the sound with low tone and high frequency; and if the emergency is not required, the sound is not played.
The application also provides a task emergency degree processing method, which comprises the following steps:
the task acquisition equipment acquires a law enforcement task comprising a law enforcement video, a law enforcement task position and law enforcement task occurrence time, and uploads the law enforcement task to the task distribution system;
the task distribution system separates law enforcement videos, video shooting parameters and law enforcement task parameters from the law enforcement tasks, extracts key frames containing target features from the separated law enforcement videos, counts the frequency of the same type of law enforcement tasks according to the key frames, the video shooting parameters and the law enforcement task parameters, and sends the law enforcement tasks to be processed to the task emergency processing system by combining the positions of the tasks, the frequency of the tasks and the time of the tasks;
the task emergency processing system extracts the position of the task, the frequency of the task and the time of the task from the to-be-processed law enforcement task, calculates the task emergency degree based on the position coefficient of the task, the frequency coefficient of the task and the time coefficient of the task and in combination with corresponding weights, and performs corresponding task emergency response according to the task emergency degree.
The task emergency processing method comprises the following steps that after the task distribution system separates and obtains the law enforcement video, the video shooting parameters and the law enforcement task parameters from the law enforcement task, the legality detection is carried out on the video shooting parameters and the law enforcement task parameters, and the method specifically comprises the following substeps:
extracting a video shooting timestamp, a video shooting position and a task acquisition equipment identifier from the video shooting parameters; extracting the position of the law enforcement task and the time of the law enforcement task from the law enforcement task parameters;
judging whether the task acquisition equipment identification is legal acquisition equipment prestored in the task distribution system, judging whether the video shooting timestamp and the occurrence time of the law enforcement task are within a preset time range, judging whether the video shooting position and the occurrence position of the law enforcement task are within a preset area range, if so, considering that the video file is legal, and if not, considering that the video file is uploaded wrongly.
The beneficial effect that this application realized is as follows:
(1) video shooting parameters and law enforcement task parameters are added before and after a law enforcement video image frame of task acquisition equipment, and the data are verified at a task distribution system end, so that the safety of the law enforcement video transmission is ensured, and the information is prevented from being tampered;
(2) the task distribution system extracts key frames containing target features from the analyzed law enforcement video, reduces unimportant image frames in the law enforcement video, reduces the data volume during the transmission of the law enforcement video and improves the transmission efficiency;
(3) the task distribution system searches video files with higher similarity from a large number of law enforcement videos, and uses the video files as the video files of the same type, so that the processing of a large number of data is reduced, and the law enforcement efficiency is improved;
(4) the task emergency processing system can obtain the emergency degree of the law enforcement task according to the position coefficient, the frequency coefficient and the time coefficient of the task, execute different processing on the tasks with different emergency degrees, improve the response time of law enforcement, solve the problem that the law enforcement task cannot distinguish between the urgency and the omission, and improve the law enforcement efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a schematic diagram of a law enforcement task processing system according to an embodiment of the present disclosure;
FIG. 2 is a flowchart of a law enforcement task processing method provided in the second embodiment of the present application;
FIG. 3 is a flow chart of a method for a mission emergency processing system to perform law enforcement mission emergency processing.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. 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 invention.
Example one
The embodiment one of the present application provides a law enforcement task processing system, as shown in fig. 1, including a task collection device 11, a task distribution system 12, and a task emergency processing system 13.
The task collection equipment 11 is generally mobile equipment such as a law enforcement vehicle and a law enforcement instrument, the task collection equipment 11 collects law enforcement tasks, the law enforcement tasks comprise law enforcement video files, law enforcement task positions, law enforcement task occurrence time and the like, and the task collection equipment 11 uploads the collected law enforcement tasks to the task distribution system 12;
specifically, in order to prevent the law enforcement task uploaded to task distribution system 12 from being tampered with and the like, task collection device 11 preferably writes video shooting parameters including a video shooting timestamp, a video shooting location, and a task collection device identifier before the first image frame of the law enforcement video and writes law enforcement task parameters including a location where the law enforcement task occurs and a time when the law enforcement task occurs after the last image frame, obtains a video file including the video shooting parameters and the law enforcement task parameters, and then uploads the video file to task distribution system 12 in an encrypted manner.
The task distribution system 12 comprises a separation module 121, a detection module 122, a video preprocessing module 123, a video key frame extraction module 124, a video similarity calculation module 125 and a task statistics push module 126;
the separation module 121 is configured to decrypt the received encrypted information to obtain a video file, and separate a law enforcement video, a video shooting parameter, and a law enforcement task parameter from the video file;
specifically, video shooting parameters are extracted from the first frame of a video file, law enforcement task parameters are extracted from the last frame of the video file, and other data are used as law enforcement video data;
the detection module 122 is used for carrying out validity detection on the video shooting parameters and the law enforcement task parameters;
specifically, the detecting module 122 performs validity detection on the video shooting parameter and the law enforcement task parameter, and specifically includes:
step11, extracting a video shooting time stamp, a video shooting position and a task acquisition equipment identifier from the video shooting parameters; extracting the position of the law enforcement task and the time of the law enforcement task from the law enforcement task parameters;
step12, judging whether the task acquisition equipment identification is legal acquisition equipment prestored in the task distribution system, if so, executing Step13, otherwise, considering the law enforcement task uploader to be illegal;
step13, judging whether the video shooting time stamp and the time of the law enforcement task are within a preset time range, if so, executing Step14, otherwise, considering that the video file is uploaded wrongly;
step14, judging whether the video shooting position and the position where the law enforcement task occurs are in a preset area range, if so, judging that the uploaded video file is legal, otherwise, judging that the uploading of the video file is wrong.
The video preprocessing module 123 is configured to perform sharpness processing on the separated law enforcement video;
specifically, the video preprocessing module 123 is configured to perform sharpness processing on the separated law enforcement video, and specifically includes:
step21, judging whether the law enforcement video is a clear image, if so, triggering the video key frame extraction module 124, otherwise, executing Step 22;
step22, decoding the law enforcement video stream to obtain a plurality of frame images, and searching for blurred frame images in the plurality of frame images;
step23, searching an error initial region block in the blurred frame image, sequentially reconstructing the blurred region, and encoding the reconstructed frame image to form a clear law enforcement video;
the reconstruction of the starting region block is specifically the reconstruction of a pixel value, and the pixel value Q (i.j) of the reconstruction coordinates can be specifically expressed as:
wherein n is a point on a circumference with the center of the initial region block as an origin and the length of the diagonal side of the initial region block as a radius, n is generally selected to be 8 as eight points uniformly distributed on the circumference, and d is selected to beiFor the distance, p, of the reconstructed coordinates of the selected starting region block from the coordinates of the circumferential pixelsjThe pixel values of the pixel coordinates of the selected points on the circumference are used.
The video key frame extraction module 124 is used for extracting key frames containing target features from the separated law enforcement videos;
specifically, the video key frame extraction module 124 extracts a key frame containing a target feature from the separated law enforcement video, and specifically includes the following sub-steps:
step31, extracting all image frames from the law enforcement video, and calculating the frame difference Euclidean distance of each image;
specifically, N frame image frames are extracted from the law enforcement video, and N-2 frame difference Euclidean distances exist in the N frame image frames in total; the calculation formula of the frame difference Euclidean distance is as follows:
wherein N is the number of image frames, x, of the law enforcement videoi、xi+1、xi+2The gray values of the i-th frame image, the i +1 frame image and the i +2 frame image are respectively.
Step32, calculating extreme values of Euclidean distances of the N-2 frame differences and function values corresponding to the extreme values;
step33, calculating the mean value of each function value;
and Step34, comparing the function values corresponding to the extreme points with the average value, and taking out the points larger than the average value, wherein the corresponding frame image is the key frame image to be selected.
The video similarity calculation module 125 is configured to perform similarity calculation on key frames of the law enforcement videos separated from the plurality of video files uploaded by the task acquisition video, law enforcement task occurrence positions in law enforcement task parameters, and law enforcement task occurrence time, find out a video file with a higher similarity, and use the video file as a video file of the same type;
specifically, in the video similarity calculation module 125, the following formula is specifically adopted to calculate the video files of the same type:
wherein n is the number of key frames, giIs the pixel value of the ith key frame, wiIs the position value of the ith key frame, tiThe time of the ith key frame.
The task statistics pushing module 126 is used for counting the number of video files of the same type, namely the frequency of law enforcement tasks; specifically, the law enforcement tasks within the preset time range are counted, the number of the video files of the same type is counted, the various types of law enforcement tasks are sequenced according to the number of the video files to obtain a to-be-processed law enforcement task sequencing list, and the to-be-processed law enforcement tasks are pushed to the task emergency processing system 13; the law enforcement task to be processed comprises the position of the task, the frequency of the task and the time of the task.
The task emergency processing system 13 is composed of mobile terminals of task processing personnel, the law enforcement personnel log in their law enforcement account number through mobile equipment to receive the law enforcement tasks, the task statistics push module 126 of the task allocation system 12 performs a plurality of quantity grouping and issuing according to the to-be-processed law enforcement task ranking table, for example, tasks 1, 4 and 7 can be selected and sent to a first mobile terminal of the task emergency processing system 13, tasks 2, 5 and 8 can be selected and sent to a second mobile terminal of the task emergency processing system 13, and tasks 3, 6 and 9 can be selected and sent to a third mobile terminal of the task emergency processing system 13 according to the ranking table, so that the tasks can be evenly allocated to the law enforcement personnel.
The task emergency processing system 13 includes a task extraction module 131, a task emergency degree calculation module 132, and a task emergency response module 133;
the task extraction module 131 is configured to receive a law enforcement task through the task emergency degree recognition engine, and extract a position where the task occurs, a frequency of the task occurring, and a time of the task occurring from the law enforcement task;
the task urgency degree calculation module 132 calculates to obtain the task urgency degree based on the position coefficient of the task, the frequency coefficient of the task and the time coefficient of the task in combination with the corresponding weight;
specifically, the task urgency is calculated using the following formula:
Ci＝max(wi*T1+pi*T2+ti*T3) Formula (4)
Wherein, CiFor the most mission-critical law enforcement mission of all received missions, wiIs the position value of the ith task, piFor the frequency of occurrence of the ith task, tiIs the time when the ith task occurs.
The task emergency response module 133 performs corresponding task emergency response according to the task emergency degree;
preferably, the setting of the degree of urgency of the fourth class in the mobile terminal on which the mission emergency processing system 13 receives the law enforcement mission includes: the emergency degree is first grade, and the hardware is called every 5 minutes to play sound with high tone and high frequency; the emergency degree is two-level, and the hardware is called every 30 minutes to play sound with high tone and low frequency; the emergency degree is three, and the hardware is called every 60 minutes to play the sound with low tone and high frequency; and if the emergency is not required, the sound is not played.
Example two
An embodiment of the present application provides a method for processing a task urgency level, as shown in fig. 2, including the following steps:
220, separating the law enforcement video, the video shooting parameters and the law enforcement task parameters from the law enforcement task by the task distribution system, extracting a key frame containing target characteristics from the separated law enforcement video, counting the frequency of the same type of law enforcement task according to the key frame, the video shooting parameters and the law enforcement task parameters, and forming the law enforcement task to be processed by the position where the task occurs, the frequency where the task occurs and the time when the task occurs and issuing the law enforcement task to the task emergency processing system;
specifically, extracting a key frame containing a target feature from the separated law enforcement video specifically includes: extracting all image frames from the law enforcement video, and calculating the frame difference Euclidean distance of each image; calculating extreme values of the Euclidean distance of the N-2 frame differences and function values corresponding to the extreme values; calculating the mean value of each function value; and comparing the function value corresponding to each extreme point with the average value, and taking out points larger than the average value, wherein the corresponding frame image is the key frame image to be selected.
In the embodiment of the application, the task allocation system further comprises a step of performing validity detection on the video shooting parameters and the law enforcement task parameters after the law enforcement video, the video shooting parameters and the law enforcement task parameters are obtained through separation, and the method specifically comprises the following steps: extracting a video shooting timestamp, a video shooting position and a task acquisition equipment identifier from the video shooting parameters; extracting the position of the law enforcement task and the time of the law enforcement task from the law enforcement task parameters; and judging whether the task acquisition equipment identifier is legal acquisition equipment prestored in the task distribution system, if so, judging whether the video shooting timestamp and the time of the law enforcement task are within a preset time range, if so, judging whether the video shooting position and the position of the law enforcement task are within a preset area range, if so, judging that the uploaded video file is legal, otherwise, judging that the video file is uploaded wrongly.
In addition, after the validity check, the method also comprises the step of performing definition processing on the separated law enforcement video, and specifically comprises the following steps: if the law enforcement video is an unclear image, decoding the law enforcement video stream to obtain a plurality of frame images, and searching for blurred frame images in the plurality of frame images; and searching an error initial region block in the blurred frame image, sequentially reconstructing the blurred region, and encoding the reconstructed frame image to form a clear law enforcement video.
FIG. 3 is a flow chart of a method for a mission emergency processing system to perform law enforcement mission emergency processing. The mobile terminal receives a law enforcement task, then transmits the law enforcement task to a task emergency degree identification engine to identify the position of the task to obtain a position system, identifies the frequency of the same type of task to obtain a frequency coefficient, identifies the time of the task to obtain a time coefficient, then calculates the task emergency degree based on the position coefficient, the frequency coefficient and the time coefficient in combination with corresponding weights to obtain the task emergency degree, and then makes a four-level emergency degree response according to the task emergency degree.
Specifically, the task urgency is calculated using the following formula:
Ci＝max(wi*T1+pi*T2+ti*T3) Formula (4)
Wherein, CiFor the most mission-critical law enforcement mission of all received missions, wiIs the position value of the ith task, piFor the frequency of occurrence of the ith task, tiIs the time when the ith task occurs;
preferably, the setting of the four-level emergency degree in the mobile terminal of which the task emergency processing system receives the law enforcement task comprises the following steps: the emergency degree is first grade, and the hardware is called every 5 minutes to play sound with high tone and high frequency; the emergency degree is two-level, and the hardware is called every 30 minutes to play sound with high tone and low frequency; the emergency degree is three, and the hardware is called every 60 minutes to play the sound with low tone and high frequency; and if the emergency is not required, the sound is not played.
The above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A task emergency processing system is characterized by comprising task acquisition equipment, a task distribution system and a task emergency processing system;
the task acquisition equipment acquires a law enforcement task comprising a law enforcement video, a law enforcement task position and law enforcement task occurrence time, and uploads the law enforcement task to the task distribution system;
the task distribution system separates law enforcement videos, video shooting parameters and law enforcement task parameters from the law enforcement tasks, extracts key frames containing target features from the separated law enforcement videos, counts the frequency of the same type of law enforcement tasks according to the key frames, the video shooting parameters and the law enforcement task parameters, and sends the law enforcement tasks to be processed to the task emergency processing system by combining the positions of the tasks, the frequency of the tasks and the time of the tasks;
the task emergency processing system extracts the position of the task, the frequency of the task and the time of the task from the to-be-processed law enforcement task, calculates the task emergency degree based on the position coefficient of the task, the frequency coefficient of the task and the time coefficient of the task and in combination with corresponding weights, and performs corresponding task emergency response according to the task emergency degree.
2. The mission emergency processing system of claim 1, wherein the mission critical section writes video capture parameters including a video capture timestamp, a video capture location and a mission capture device identification before capturing a first image frame of the law enforcement video and writes law enforcement mission parameters including a location where the law enforcement mission occurred and a time when the law enforcement mission occurred after capturing a last image frame, obtains a video file including the video capture parameters and the law enforcement mission parameters, and then encrypts and uploads the video file to the mission distribution system.
3. The task urgency processing system of claim 1, wherein the task allocation system includes a separation module, a video keyframe extraction module, and a task statistics push module; the separation module is used for separating and obtaining a law enforcement video, video shooting parameters and law enforcement task parameters from the law enforcement task; the video key frame extraction module is used for extracting key frames containing target features from the separated law enforcement videos; and the task statistics pushing module is used for counting the frequency of the law enforcement tasks of the same type according to the key frames, the video shooting parameters and the law enforcement task parameters, and forming the law enforcement task to be processed by the position where the task occurs, the frequency of the task occurs and the time of the task occurrence and issuing the law enforcement task to the task emergency processing system.
4. The mission emergency processing system of claim 3, wherein the mission distribution system further comprises a detection module for legality detecting the video capture parameter and the law enforcement mission parameter.
5. The mission emergency processing system of claim 3, wherein the mission distribution system further comprises a video pre-processing module for performing sharpness processing on the separated law enforcement video.
6. The mission emergency processing system according to claim 3, wherein the mission distribution system further comprises a video similarity calculation module for performing similarity calculation on key frames of the law enforcement video separated from the plurality of video files uploaded by the mission capture video, the occurrence location of the law enforcement mission and the occurrence time of the law enforcement mission in the parameters of the law enforcement mission, and finding out the video file with the highest similarity as the video file of the same type.
7. The mission emergency processing system according to claim 6, wherein the mission emergency pushing module is further configured to count the law enforcement missions within a predetermined time period, count the number of video files of the same type, sort the law enforcement missions of multiple types according to the number of video files to obtain a to-be-processed law enforcement mission ranking table, and push the to-be-processed law enforcement missions to the mission emergency processing system.
8. The task urgency processing system of claim 1, comprising a task extraction module, a task urgency calculation module, and a task urgency response module; the task extraction module is used for receiving the law enforcement task through the task emergency degree recognition engine and extracting the position, frequency and time of the task from the law enforcement task; the task emergency degree calculation module is used for calculating and obtaining the task emergency degree by combining corresponding weights based on a position coefficient of task occurrence, a frequency coefficient of task occurrence and a time coefficient of task occurrence; and the task emergency response module carries out corresponding task emergency response according to the task emergency degree.
9. A task urgency handling method is characterized by comprising the following steps:
the task acquisition equipment acquires a law enforcement task comprising a law enforcement video, a law enforcement task position and law enforcement task occurrence time, and uploads the law enforcement task to the task distribution system;
the task distribution system separates law enforcement videos, video shooting parameters and law enforcement task parameters from the law enforcement tasks, extracts key frames containing target features from the separated law enforcement videos, counts the frequency of the same type of law enforcement tasks according to the key frames, the video shooting parameters and the law enforcement task parameters, and sends the law enforcement tasks to be processed to the task emergency processing system by combining the positions of the tasks, the frequency of the tasks and the time of the tasks;
the task emergency processing system extracts the position of the task, the frequency of the task and the time of the task from the to-be-processed law enforcement task, calculates the task emergency degree based on the position coefficient of the task, the frequency coefficient of the task and the time coefficient of the task and in combination with corresponding weights, and performs corresponding task emergency response according to the task emergency degree.
10. The method for processing task urgency as recited in claim 9, wherein the task assignment system further includes a step of performing validity check on the video capturing parameter and the law enforcement task parameter after separating the law enforcement video, the video capturing parameter and the law enforcement task parameter from the law enforcement task, and specifically includes the following sub-steps:
extracting a video shooting timestamp, a video shooting position and a task acquisition equipment identifier from the video shooting parameters; extracting the position of the law enforcement task and the time of the law enforcement task from the law enforcement task parameters;
judging whether the task acquisition equipment identification is legal acquisition equipment prestored in the task distribution system, judging whether the video shooting timestamp and the occurrence time of the law enforcement task are within a preset time range, judging whether the video shooting position and the occurrence position of the law enforcement task are within a preset area range, if so, considering that the video file is legal, and if not, considering that the video file is uploaded wrongly.
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