CN116030398B - Task analysis method, system and storage medium based on multipath video signals - Google Patents
Task analysis method, system and storage medium based on multipath video signals Download PDFInfo
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Abstract
The invention discloses a task analysis method, a task analysis system and a task analysis storage medium based on multipath video signals, which relate to the technical field of video application, wherein the method comprises the steps of acquiring real-time setting information of a user; constructing an analysis task table in a database according to the real-time setting information; the method comprises the steps of scanning an analysis task table at fixed time, and comparing the starting time and the ending time set when a user issues an analysis task with the current time respectively; summarizing analysis tasks according to the comparison result, and storing the summary fruits into an analysis task key value pair Map set in a redis cache; determining an execution instance key value pair Map set according to the analysis task key value pair Map set; and performing timing scanning on the Map set of the execution instance key value pair and the Map set of the analysis task key value pair, and detecting and identifying the analysis task and the execution parameter according to the corresponding scanning result. The invention can quickly respond to the issuing execution of the task without waiting for the state of the task to return.
Description
Technical Field
The present invention relates to the field of video applications, and in particular, to a task analysis method, system and storage medium based on multiple video signals.
Background
The video analysis technology is widely applied in the fields of traffic, business, public safety, military and the like, and most of main scenes are transactions interested by users from massive video data, but the massive data are not needed by the users, so that the generation and analysis of the massive data are controlled through flexible instruction transmission, and the method is not realized in a general way, only the instruction control of each hardware manufacturer is realized, and the production and management of the massive data are not facilitated.
Disclosure of Invention
The invention aims to provide a task analysis method, a task analysis system and a storage medium based on a plurality of paths of video signals, which can quickly respond to task issuing execution without waiting for task state return.
In order to achieve the above object, the present invention provides the following.
A task analysis method based on multiple paths of video signals, comprising: acquiring real-time setting information of a user; the setting information includes: issuing, updating and deleting analysis tasks and execution parameters; constructing an analysis task table in a database according to the real-time setting information; the method comprises the steps of scanning an analysis task table at fixed time, and comparing the starting time and the ending time set when a user issues an analysis task with the current time respectively; summarizing analysis tasks according to the comparison result, and storing the summary fruits into an analysis task key value pair Map set in a redis cache; the analysis task key value pair Map set takes a unique value of the video signal as a key, and takes an analysis task summarized by the video signal as a value; determining an execution instance key value pair Map set in the redis cache according to the analysis task key value pair Map set in the redis cache; and respectively and regularly scanning the Map set of the execution instance key value pair and the Map set of the analysis task key value pair, and detecting and identifying the analysis task and the execution parameter according to the corresponding scanning result.
Optionally, the timing scanning analysis task table compares a start time and an end time set when a user issues an analysis task with a current time, and specifically includes: the analysis task table is scanned in time by using the Quartz technology.
Optionally, the timing scanning execution instance key value pair Map set and analysis task key value pair Map set respectively, and performing detection and identification of analysis tasks and execution parameters according to the corresponding scanning results specifically includes: and respectively performing timing scanning of the execution instance key value pair Map set and the analysis task key value pair Map set by adopting a Quartz technology.
Optionally, the timing scanning execution instance key value pair Map set and analysis task key value pair Map set respectively, and performing detection and identification of analysis tasks and execution parameters according to the corresponding scanning results, and specifically further includes: and reading the analysis task key value pair Map set in the redis cache, and circularly judging whether the video signal exists in the execution instance key value pair Map set in the redis cache.
If so, the unique value of the instance is executed.
If the video signal does not exist, sending an operation instruction to the PowerJob distributed task scheduling framework through an http request so as to start an execution instance of an analysis task of the video signal, and storing a unique value of the corresponding execution instance into a Map set of the execution instance key value pair in a redis cache in a key value pair mode; and simultaneously, in the operation of a corresponding execution example, frame-by-frame extraction is carried out on the video signal, the latest analysis task and the latest execution parameter are read from the Map set by analyzing the task key value in the redis cache in real time aiming at each frame of picture, and detection and identification are carried out according to the latest execution parameter.
And reading the Map set of the key value pair of the execution example in the redis cache in real time, and circularly judging whether the video signal exists in the Map set of the key value pair of the analysis task in the redis cache.
If so, analyzing the execution parameters of the task.
If the video signal does not exist, a stop instruction is sent to the PowerJob distributed task scheduling framework through an http request so as to stop analyzing task execution examples of the video signal, and the unique value of the corresponding execution example is deleted from the execution example key value pair Map set in the redis cache.
A task analysis system based on multiple video signals, comprising: the setting information acquisition module is used for acquiring real-time setting information of a user; the setting information includes: issuing, updating and deleting analysis tasks and execution parameters.
And the analysis task table creation module is used for constructing an analysis task table in the database according to the real-time setting information.
The comparison result determining module is used for scanning the analysis task table at fixed time and comparing the starting time and the ending time set when the user issues the analysis task with the current time respectively.
The analysis task key value pair Map set determining module is used for summarizing analysis tasks according to the comparison result and storing the summarized result into the analysis task key value pair Map set in the redis cache; the analysis task key value pair Map set takes a unique value of the video signal as a key, and takes an analysis task summarized by the video signal as a value;
and the execution instance key value pair Map set determining module is used for determining the execution instance key value pair Map set in the redis cache according to the analysis task key value pair Map set in the redis cache.
And the detection and identification module is used for respectively and regularly scanning the Map set of the execution instance key value pair and the Map set of the analysis task key value pair, and carrying out detection and identification of the analysis task and the execution parameters according to the corresponding scanning result.
A task analysis system based on multiple video signals, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method.
A storage medium having stored thereon computer program instructions which, when executed, implement the method.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: the task analysis method, the system and the storage medium based on the multipath video signals provided by the invention are based on the video signals of video cameras of various manufacturers, and a user sets and issues or gathers video analysis tasks with various different attributes; the video analysis task is respectively compared with the current time according to the starting time and the ending time to summarize the task set in running and store the summarized task set in a redis cache, so that the problem of dynamic updating of analysis parameters of the analysis task is solved; and respectively and regularly scanning the Map set of the execution instance key value pair and the Map set of the analysis task key value pair, and detecting and identifying the analysis task and the execution parameter according to the corresponding scanning result so as to ensure uninterrupted execution of the analysis task. The invention fills the blank of efficient execution and dynamic update when converging multiple paths of videos to perform video analysis tasks; the method can be applied to the field of cloud service in a large batch; the user can change the execution parameters of the task at any time without interrupting the task in progress; a quick response can be performed to the issuing of a task without waiting for the task state to return.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a task analysis method based on multiple paths of video signals.
Fig. 2 is a schematic diagram of a task analysis method based on multiple video signals 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.
The invention aims to provide a task analysis method, a task analysis system and a storage medium based on a plurality of paths of video signals, which can quickly respond to task issuing execution without waiting for task state return.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
As shown in fig. 1 and fig. 2, the task analysis method based on multiple paths of video signals provided by the invention includes: s101, acquiring real-time setting information of a user; the setting information includes: issuing, updating and deleting analysis tasks and execution parameters; when video analysis is performed on a certain path of video signal, a user will set one or more analysis tasks and execution parameters, such as pedestrian detection (execution parameter setting confidence), vehicle detection (execution parameter setting duplicate removal similarity), intrusion detection (execution parameter setting intrusion target), and the like. And starting an analysis task execution example of the path of video signals, and performing frame extraction on the path of video signals in the execution example and detecting and identifying the path of video signals frame by frame according to analysis tasks and execution parameters set by a user.
S102, constructing an analysis task table in a database according to the real-time setting information.
S103, the analysis task table is scanned at fixed time, and the starting time and the ending time set when a user issues the analysis task are respectively compared with the current time; the analysis task table is scanned in time by using the Quartz technology. The operation is performed in a frequency cycle of once per second.
S104, summarizing the analysis tasks according to the comparison result, and storing the summarized fruits into an analysis task key value pair Map set in a redis cache; the analysis task key value pair Map set takes a unique value of the video signal as a key, and takes an analysis task summarized by the video signal as a value; and analyzing the Map set as one-to-one set data by the task key value. And providing the Map set for the video analysis task execution instance to read the analysis task and the execution parameters through the analysis task key value, and executing corresponding detection and identification according to the parameter rule.
S105, determining the Map set of the execution instance key value pair in the redis cache according to the Map set of the analysis task key value pair in the redis cache.
S106, respectively and regularly scanning the Map set of the execution instance key value pair and the Map set of the analysis task key value pair, and detecting and identifying the analysis task and the execution parameters according to the corresponding scanning result. The operation is performed in a frequency cycle of once every minute, and synchronous execution is required.
S106 specifically comprises: and respectively performing timing scanning of the execution instance key value pair Map set and the analysis task key value pair Map set by adopting a Quartz technology.
S106 specifically further includes: reading an analysis task key value pair Map set in a redis cache, and circularly judging whether a video signal exists in an execution instance key value pair Map set in the redis cache; namely, analyzing the Map key in the Map set by taking the Map key pair, and executing the Map set by the instance key pair to obtain the Map value.
If so, executing the unique value of the instance; and if the corresponding video analysis task execution example is executed, ignoring the execution example.
If the video signal analysis task execution example does not exist, indicating that the corresponding video signal analysis task execution example does not run, sending an operation instruction to the PowerJob distributed task scheduling framework through an http request so as to start the execution example of the video signal analysis task, and storing the unique value of the corresponding execution example into an execution example key value pair Map set in a redis cache in a key value pair mode; and simultaneously, in the operation of a corresponding execution example, frame-by-frame extraction is carried out on the video signal, the latest analysis task and the latest execution parameter are read from the Map set in real time according to the analysis task key value in the redis cache for each frame of picture, and detection and identification are carried out according to the latest execution parameter.
Reading an execution instance key value pair Map set in a redis cache in real time, and circularly judging whether a video signal exists in an analysis task key value pair Map set in the redis cache; and (3) taking the Map key in the Map set of the execution instance key value pair, and analyzing the Map set of the task key value pair to obtain a Map value.
If yes, analyzing the execution parameters of the task; the video signal is set with analysis task and execution parameters, and is ignored.
If the analysis task does not exist, the video signal is not set with any analysis task, a stop instruction is sent to the PowerJob distributed task scheduling framework through an http request, so that the analysis task execution instance of the video signal is stopped, and the unique value of the corresponding execution instance is deleted from the execution instance key value pair Map set in the redis cache.
By combining the two timing scanning tasks, no matter what operation is performed on the video signal by a user on a page, no matter what new analysis task is issued, the old analysis task is deleted and the old analysis task is changed, the executing instance of the video analysis task in operation is not affected, and in the executing instance of the analysis task, when each frame is detected and identified, the predicted identification result is obtained by the latest set analysis task and the latest set execution parameter.
As another specific embodiment, the present invention further provides a task analysis system based on multiple video signals, including: the setting information acquisition module is used for acquiring real-time setting information of a user; the setting information includes: issuing, updating and deleting analysis tasks and execution parameters.
And the analysis task table creation module is used for constructing an analysis task table in the database according to the real-time setting information.
The comparison result determining module is used for scanning the analysis task table at fixed time and comparing the starting time and the ending time set when the user issues the analysis task with the current time respectively.
The analysis task key value pair Map set determining module is used for summarizing analysis tasks according to the comparison result and storing the summarized result into the analysis task key value pair Map set in the redis cache; and the analysis task key value pair Map set takes a unique value of the video signal as a key, and takes an analysis task summarized by the video signal as a value.
And the execution instance key value pair Map set determining module is used for determining the execution instance key value pair Map set in the redis cache according to the analysis task key value pair Map set in the redis cache.
And the detection and identification module is used for respectively and regularly scanning the Map set of the execution instance key value pair and the Map set of the analysis task key value pair, and carrying out detection and identification of the analysis task and the execution parameters according to the corresponding scanning result.
In order to execute the method to realize the corresponding functions and technical effects, the invention also provides a task analysis system based on multiple paths of video signals, which comprises the following steps: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method.
In addition, the embodiment of the invention also provides a storage medium, which stores a computer program, and the computer program realizes the method when being executed.
Based on the above description, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or a part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present invention. And the aforementioned computer storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (5)
1. A task analysis method based on multiple paths of video signals, comprising:
acquiring real-time setting information of a user; the setting information includes: issuing, updating and deleting analysis tasks and execution parameters;
constructing an analysis task table in a database according to the real-time setting information;
the method comprises the steps of scanning an analysis task table at fixed time, and comparing the starting time and the ending time set when a user issues an analysis task with the current time respectively;
summarizing analysis tasks according to the comparison result, and storing the summary fruits into an analysis task key value pair Map set in a redis cache; the Map set is provided with a key which is a unique value of the video signal, and the analysis task summarized by the video signal is provided with a value;
determining an execution instance key value pair Map set in the redis cache according to the analysis task key value pair Map set in the redis cache;
respectively and regularly scanning and executing an instance key value pair Map set and an analysis task key value pair Map set, and detecting and identifying analysis tasks and execution parameters according to corresponding scanning results;
the method comprises the steps of respectively and regularly scanning an execution instance key value pair Map set and an analysis task key value pair Map set, and detecting and identifying analysis tasks and execution parameters according to corresponding scanning results, and specifically comprises the following steps:
reading an analysis task key value pair Map set in a redis cache, and circularly judging whether a video signal exists in an execution instance key value pair Map set in the redis cache;
if so, executing the unique value of the instance;
if the video signal does not exist, sending an operation instruction to the PowerJob distributed task scheduling framework through an http request so as to start an execution instance of an analysis task of the video signal, and storing a unique value of the corresponding execution instance into a Map set of the execution instance key value pair in a redis cache in a key value pair mode; simultaneously, in the operation of a corresponding execution example, frame-by-frame extraction is carried out on the video signal, and aiming at each frame of picture, the latest analysis task and the latest execution parameter are read from the analysis task key value in the redis cache in real time for the Map set, and detection and identification are carried out according to the latest execution parameter;
reading an execution instance key value pair Map set in a redis cache in real time, and circularly judging whether a video signal exists in an analysis task key value pair Map set in the redis cache;
if yes, analyzing the execution parameters of the task;
if the video signal does not exist, a stop instruction is sent to the PowerJob distributed task scheduling framework through an http request so as to stop analyzing task execution examples of the video signal, and the unique value of the corresponding execution example is deleted from the execution example key value pair Map set in the redis cache.
2. The task analysis method based on multiple video signals according to claim 1, wherein the timing scanning analysis task table compares a start time and an end time set when a user issues an analysis task with a current time, respectively, and specifically includes:
the analysis task table is scanned in time by using the Quartz technology.
3. The task analysis method based on multiple paths of video signals according to claim 1, wherein the method is characterized in that the method comprises the steps of respectively and regularly scanning the Map set of execution instance key value pairs and the Map set of analysis task key value pairs, and detecting and identifying analysis tasks and execution parameters according to corresponding scanning results, and specifically comprises the following steps:
and respectively performing timing scanning of the execution instance key value pair Map set and the analysis task key value pair Map set by adopting a Quartz technology.
4. A task analysis system based on multiple video signals, for implementing a task analysis method based on multiple video signals as claimed in any one of claims 1 to 3, characterized in that the task analysis system comprises:
the setting information acquisition module is used for acquiring real-time setting information of a user; the setting information includes: issuing, updating and deleting analysis tasks and execution parameters;
the analysis task table creation module is used for constructing an analysis task table in the database according to the real-time setting information;
the comparison result determining module is used for scanning the analysis task table at fixed time and comparing the starting time and the ending time set when the user issues the analysis task with the current time respectively;
the analysis task key value pair Map set determining module is used for summarizing analysis tasks according to the comparison result and storing the summarized result into the analysis task key value pair Map set in the redis cache; the Map set is provided with a key which is a unique value of the video signal, and the analysis task summarized by the video signal is provided with a value;
the execution instance key value pair Map set determining module is used for determining an execution instance key value pair Map set in the redis cache according to the analysis task key value pair Map set in the redis cache;
and the detection and identification module is used for respectively and regularly scanning the Map set of the execution instance key value pair and the Map set of the analysis task key value pair, and carrying out detection and identification of the analysis task and the execution parameters according to the corresponding scanning result.
5. A storage medium having stored thereon computer program instructions, which when executed, implement the method of any of claims 1-3.
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