CN113807216A - Monitoring early warning method, equipment and computer storage medium - Google Patents
Monitoring early warning method, equipment and computer storage medium Download PDFInfo
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- CN113807216A CN113807216A CN202111021763.0A CN202111021763A CN113807216A CN 113807216 A CN113807216 A CN 113807216A CN 202111021763 A CN202111021763 A CN 202111021763A CN 113807216 A CN113807216 A CN 113807216A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 186
- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000006399 behavior Effects 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 9
- 230000004044 response Effects 0.000 claims description 3
- 230000000391 smoking effect Effects 0.000 claims description 3
- 238000012806 monitoring device Methods 0.000 abstract description 10
- 238000004519 manufacturing process Methods 0.000 description 7
- 230000001960 triggered effect Effects 0.000 description 3
- 230000003542 behavioural effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 239000003208 petroleum Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 206010000117 Abnormal behaviour Diseases 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000000383 hazardous chemical Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The application provides a monitoring early warning method, a device and a computer storage medium, which mainly comprise a monitoring device and monitoring characteristics for setting a monitoring task, acquiring a monitoring video of the monitoring device, identifying the monitoring video based on the monitoring characteristics, responding an identification result containing the monitoring characteristics in the monitoring video, and outputting early warning information of the monitoring task. Therefore, the self-defined setting of the monitoring task can be supported, and the monitoring early warning requirements of different scenes are met.
Description
Technical Field
The embodiment of the application relates to the technical field of monitoring, in particular to a monitoring and early warning method, equipment and a computer storage medium.
Background
The petroleum and chemical industries are currently important basic and pillar industries in China. However, the petroleum and chemical industries are in the field of hazardous chemicals, and various sudden safety accidents cause a great deal of human and property loss. Therefore, how to effectively identify potential safety production hazards and evaluate the safety production risks is an important means for enterprises to improve the safety production level.
At present, a safety production supervision mode under an emergency management system mainly depends on a video monitoring playback and grid member reporting mechanism through a mode of pre-training and post-backtracking, and the real-time performance and the coverage rate of event reporting are poor.
Moreover, different production environments and different work posts have different requirements for safety monitoring, and the current safety monitoring mechanism is simple and cannot well meet different safety monitoring requirements.
In view of the above, a monitoring and early warning scheme capable of improving processing timeliness and meeting different monitoring requirements is needed.
Disclosure of Invention
In view of the foregoing problems, the present application provides a monitoring and early warning method, device, and computer storage medium, which can customize a monitoring task to meet monitoring and early warning requirements of different monitoring scenarios.
The first aspect of the present application provides a monitoring and early warning method, which includes: setting monitoring equipment and monitoring characteristics of a monitoring task; acquiring a monitoring video of the monitoring equipment, and identifying the monitoring video based on the monitoring characteristics; and responding to the identification result of the monitoring characteristics contained in the monitoring video, and outputting the early warning information of the monitoring task.
A second aspect of the present application provides a computer storage medium, wherein the computer storage medium stores instructions for executing the steps of the monitoring and early warning method according to the first aspect.
The third aspect of the present application provides a monitoring and early warning device, which includes a setting module, configured to set a monitoring device and a monitoring feature of a monitoring task; the identification module is used for acquiring a monitoring video of the monitoring equipment and identifying the monitoring video based on the monitoring characteristics; and the early warning module is used for responding the identification result which contains the monitoring characteristics in the monitoring video output by the identification module and outputting the early warning information of the monitoring task. .
In summary, according to the monitoring and early warning method, the monitoring device and the computer storage medium of the embodiment of the application, the monitoring device and the monitoring characteristics of the monitoring task are set, so that the monitoring video acquired from the set monitoring device is identified based on the set monitoring characteristics, and when the monitoring video including the monitoring characteristics is identified, the early warning information of the monitoring task is output. Therefore, customized monitoring and early warning processing can be executed according to the customized monitoring task so as to meet the monitoring and early warning requirements of different monitoring environments.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be 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 embodiments of the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a schematic flow chart of a monitoring and early warning method according to a first embodiment of the present application.
Fig. 2 is a schematic flow chart of a monitoring and early warning method according to a second embodiment of the present application.
Fig. 3 is a schematic structural diagram of a monitoring and early warning device according to a fourth embodiment of the present application.
Element number
300: monitoring the early warning device; 302: a setting module; 304: an identification module; 306: an early warning module; 40: and (5) monitoring equipment.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application shall fall within the scope of the protection of the embodiments in the present application.
The following further describes specific implementations of embodiments of the present application with reference to the drawings of the embodiments of the present application.
First embodiment
Fig. 1 shows a schematic flow chart of a monitoring and early warning method according to a first embodiment of the present application. As shown in the figure, the present embodiment mainly includes the following steps:
and S102, setting monitoring equipment and monitoring characteristics of the monitoring task.
Alternatively, the monitoring device may include various types of audiovisual capture devices, such as a video camera.
In addition, the monitoring device may also include various types of monitors, such as a sound monitor, a smoke monitor, a light monitor, a temperature monitor, and the like.
Optionally, the set monitoring feature may include: behavioral characteristics, state characteristics, object characteristics, and the like.
In this embodiment, the behavior characteristics may include, but are not limited to: the off-duty behavior, the sleeping behavior, the smoking behavior, the mobile phone playing behavior, the calling behavior and the like are monitored according to the abnormal behavior of the personnel in the monitoring video.
In this embodiment, the status features may include, but are not limited to: perimeter intrusion, fire fighting access blockage, fire operation and the like, so as to monitor the environmental state in the monitoring video.
In this embodiment, the object features may include: and the human object or the non-human object is used for monitoring specific monitoring targets.
Further, the object feature may be a static object (e.g., a building, a fire hydrant, etc.) or a dynamic object (e.g., an animal, a motor vehicle, etc.).
Alternatively, a monitoring area for the monitoring task may be set. In this embodiment, the set monitoring area may be a certain type of monitoring area, such as all fire passage areas on a floor, or may be an independent monitoring area.
Optionally, the monitoring time of the monitoring task may be set, and based on the set monitoring time, when the current time is detected to meet the monitoring time, the monitoring task is triggered to be executed, so as to implement functions of tide scheduling, time-sharing scheduling, timing starting and the like of the monitoring task.
And step S104, acquiring the monitoring video of the monitoring equipment, and identifying the monitoring video based on the monitoring characteristics.
Optionally, the monitoring video may be analyzed frame by frame based on a preset AI video algorithm to determine whether the monitoring video includes the set monitoring feature.
And S106, responding to the identification result containing the monitoring characteristics in the monitoring video, and outputting the early warning information of the monitoring task.
Optionally, the method may further include, in response to the recognition result that the monitoring video includes the monitoring feature, acquiring at least one frame of feature image that includes the monitoring feature in the monitoring video, and associating and outputting the feature image and the early warning information.
In summary, the embodiment of the application can customize the monitoring task matched with the actual monitoring and early warning requirement according to the actual monitoring and early warning requirement, so that the executed monitoring task has pertinence, not only can meet different application scenes, but also can improve the monitoring and early warning effect.
Second embodiment
Fig. 2 shows a schematic flow chart of a monitoring and early warning method according to a second embodiment of the present application. As shown in the figure, the present embodiment mainly includes the following steps:
and step S202, determining the early warning level of the early warning information according to the preset early warning level.
In this embodiment, the preset warning level may be generated in a manual setting manner or an automatic setting manner.
For example, the early warning level corresponding to the monitoring task may be manually set during the process of setting the monitoring task (i.e., during the process of step S102).
For another example, each early warning level matched with each monitoring feature can be automatically generated according to the set monitoring feature of the monitoring task based on the relevant industry standard.
And step S204, triggering and executing an early warning processing flow corresponding to the early warning level based on the early warning level.
For example, the corresponding command scheduling processing flow and/or emergency plan response flow can be triggered and executed according to the early warning level, so that the purpose of timely processing a sudden safety accident or hiding potential safety hazard is achieved.
In summary, the monitoring and early warning method of the embodiment can automatically start the pre-arranged plan treatment matched with the early warning information according to the early warning level of the early warning information, thereby further improving the production safety.
Third embodiment
A third embodiment of the present application provides a computer storage medium, where instructions for executing the steps in the monitoring and early warning method according to the foregoing embodiments are stored in the computer storage medium.
Fourth embodiment
Fig. 3 shows an architecture diagram of a monitoring and early warning device according to a fourth embodiment of the present application. As shown in the figure, the monitoring and early warning device 300 of the present application mainly includes a setting module 302, an identification module 304, and an early warning module 306.
The setting module 302 is used to set the monitoring device 40 and monitoring features of the monitoring task.
Optionally, the monitoring feature comprises: at least one of a behavior feature, a status feature, and an object feature.
Optionally, the behavioral characteristics include: at least one of off-post behavior, sleeping behavior, smoking behavior, mobile phone behavior, and call for help behavior; the status features include: one of perimeter intrusion, fire passage blockage, and fire operation; the object features include: one of a person object and a non-person object.
Optionally, the setting module 302 is further configured to set a monitoring area of the monitoring task.
Optionally, the setting module 302 is further configured to set a monitoring time of the monitoring task; and triggering to execute the monitoring task if the current time meets the monitoring time based on the monitoring time.
The identification module 304 is configured to obtain a surveillance video of the monitoring device 40 and identify the surveillance video based on the surveillance feature.
The early warning module 306 is configured to respond to the identification result that the monitoring video output by the identification module 304 includes the monitoring feature, and output early warning information of the monitoring task.
Optionally, the early warning module 306 is further configured to respond to an identification result that includes the monitoring feature in the monitoring video, and acquire at least one frame of feature image that includes the monitoring feature in the monitoring video; and associating and outputting the characteristic image and the early warning information.
Optionally, the early warning module 306 is further configured to determine an early warning level of the early warning information according to a preset early warning level, and trigger execution of an early warning processing procedure corresponding to the early warning level based on the early warning level.
In addition, the monitoring and early warning device 300 according to the embodiment of the present invention may also be used to implement other steps in the foregoing monitoring and early warning method embodiments, and has the beneficial effects of the corresponding method step embodiments, which are not described herein again.
In summary, the monitoring and early warning method, the monitoring and early warning device and the computer storage medium according to the embodiments of the present application can be used for customizing monitoring parameters (e.g., monitoring identification and monitoring characteristics) of a monitoring task, thereby satisfying monitoring requirements of different monitoring environments.
Moreover, according to the method and the device, the corresponding disposal plans can be automatically triggered according to the early warning levels corresponding to the early warning information, and the processing efficiency of production safety management is further improved.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A monitoring and early warning method is characterized by comprising the following steps:
setting monitoring equipment and monitoring characteristics of a monitoring task;
acquiring a monitoring video of the monitoring equipment, and identifying the monitoring video based on the monitoring characteristics; and
and responding to the identification result of the monitoring characteristics contained in the monitoring video, and outputting the early warning information of the monitoring task.
2. The monitoring and pre-warning method of claim 1, wherein the monitoring feature comprises: at least one of a behavior feature, a status feature, and an object feature.
3. The monitoring and pre-warning method of claim 2,
the behavior characteristics include: at least one of off-post behavior, sleeping behavior, smoking behavior, mobile phone behavior, and call for help behavior;
the status features include: one of perimeter intrusion, fire passage blockage, and fire operation;
the object features include: one of a person object and a non-person object.
4. The monitoring and pre-warning method according to claim 1, further comprising setting a monitoring area of the monitoring task.
5. The monitoring and pre-warning method of claim 1, further comprising:
setting the monitoring time of the monitoring task; and
and based on the monitoring time, if the current time is detected to meet the monitoring time, triggering to execute the monitoring task.
6. The monitoring and early-warning method according to claim 1, wherein the outputting the early-warning information of the monitoring task in response to the monitoring video including the recognition result of the monitoring feature comprises:
responding to the identification result of the monitoring feature contained in the monitoring video, and acquiring at least one frame of feature image containing the monitoring feature in the monitoring video; and
and associating and outputting the characteristic image and the early warning information.
7. The monitoring and early-warning method according to claim 1, wherein after the step of outputting the early-warning information of the monitoring task, the method further comprises:
determining the early warning level of the early warning information according to a preset early warning level;
and triggering and executing an early warning processing flow corresponding to the early warning level based on the early warning level.
8. A computer storage medium having stored therein instructions for carrying out the steps of the monitoring and warning method according to any one of claims 1 to 7.
9. A monitoring and forewarning device, comprising:
the setting module is used for setting monitoring equipment and monitoring characteristics of the monitoring task;
the identification module is used for acquiring a monitoring video of the monitoring equipment and identifying the monitoring video based on the monitoring characteristics;
and the early warning module is used for responding the identification result which contains the monitoring characteristics in the monitoring video output by the identification module and outputting the early warning information of the monitoring task.
10. The monitoring and pre-warning device of claim 9, wherein the pre-warning module further comprises:
and determining the early warning level of the early warning information according to a preset early warning level, and triggering and executing an early warning processing flow corresponding to the early warning level based on the early warning level.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111021763.0A CN113807216A (en) | 2021-09-01 | 2021-09-01 | Monitoring early warning method, equipment and computer storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111021763.0A CN113807216A (en) | 2021-09-01 | 2021-09-01 | Monitoring early warning method, equipment and computer storage medium |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530569A (en) * | 2016-10-17 | 2017-03-22 | 北京小米移动软件有限公司 | Method and device for fire monitoring |
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| CN111079694A (en) * | 2019-12-28 | 2020-04-28 | 神思电子技术股份有限公司 | Counter assistant job function monitoring device and method |
| CN212624073U (en) * | 2020-07-08 | 2021-02-26 | 山东恒宇电子有限公司 | Safe driving early warning system |
| CN112766210A (en) * | 2021-01-29 | 2021-05-07 | 苏州思萃融合基建技术研究所有限公司 | Safety monitoring method and device for building construction and storage medium |
-
2021
- 2021-09-01 CN CN202111021763.0A patent/CN113807216A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530569A (en) * | 2016-10-17 | 2017-03-22 | 北京小米移动软件有限公司 | Method and device for fire monitoring |
| CN108446733A (en) * | 2018-03-19 | 2018-08-24 | 上海玺翎智能科技有限公司 | A kind of human body behavior monitoring and intelligent identification Method based on multi-sensor data |
| CN111079694A (en) * | 2019-12-28 | 2020-04-28 | 神思电子技术股份有限公司 | Counter assistant job function monitoring device and method |
| CN212624073U (en) * | 2020-07-08 | 2021-02-26 | 山东恒宇电子有限公司 | Safe driving early warning system |
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