CN114095695B - Intelligent monitoring system, intelligent monitoring method based on intelligent monitoring system and medium - Google Patents
Intelligent monitoring system, intelligent monitoring method based on intelligent monitoring system and medium Download PDFInfo
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- CN114095695B CN114095695B CN202111205741.XA CN202111205741A CN114095695B CN 114095695 B CN114095695 B CN 114095695B CN 202111205741 A CN202111205741 A CN 202111205741A CN 114095695 B CN114095695 B CN 114095695B
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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
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The application discloses an intelligent monitoring system, an intelligent monitoring method and a medium based on the intelligent monitoring system, and aims to solve the problems that the dynamic state of important posts of each sub-unit cannot be timely and comprehensively mastered, and the monitoring effectiveness is poor. The intelligent monitoring system part comprises a cloud platform, intelligent analysis equipment and an intelligent monitoring terminal, wherein the intelligent analysis equipment and the intelligent monitoring terminal correspond to each monitoring unit, and the intelligent analysis equipment is used for acquiring video data of a monitored post area of the corresponding monitoring unit and monitoring and analyzing the video data to acquire the post state of the monitored post area; if the post state accords with the preset set event, responding to the post state to generate a corresponding alarm event and reporting the alarm event to the cloud platform, wherein the alarm event comprises event detail information; the cloud platform is used for receiving the alarm events uploaded by the intelligent analysis equipment corresponding to each monitoring unit and responding to the alarm events to notify the post manager through the intelligent monitoring terminals corresponding to each monitoring unit.
Description
Technical Field
The present application relates to the field of monitoring technologies, and in particular, to an intelligent monitoring system, an intelligent monitoring method based on the intelligent monitoring system, and a medium.
Background
In some special scenes, it is very important whether some posts can operate normally, such as a fire control room, etc., and the abnormal operation of the posts may cause a major accident, so that monitoring is needed. The inventor finds that aiming at some large groups, the monitoring mode is low in efficiency because each sub-unit of the group arranges manual patrol for monitoring, or the monitoring cameras independently arranged on each sub-unit of the group monitor and report a certain post, the monitoring mode belongs to a distributed monitoring mode, data are isolated from each other, whether a person leaves the post can be identified, the monitoring mode group cannot timely and comprehensively master the important post dynamics of each sub-unit, and the monitoring effectiveness is poor.
Disclosure of Invention
The application provides an intelligent monitoring system, an intelligent monitoring method and a medium based on the intelligent monitoring system, and aims to solve the problems that the dynamic state of important posts of each sub-unit cannot be timely and comprehensively mastered, and the monitoring effectiveness is poor.
An intelligent monitoring system comprises a cloud platform, and intelligent analysis equipment and an intelligent monitoring terminal which correspond to each monitoring unit, wherein the intelligent analysis equipment and the intelligent monitoring terminal which correspond to each monitoring unit are in communication connection with the cloud platform;
the intelligent analysis equipment is used for acquiring video data of a monitored post area corresponding to a monitoring unit and monitoring and analyzing the video data to acquire the post state of the monitored post area; if the post state accords with a preset set event, responding to the post state to generate a corresponding alarm event and reporting the alarm event to the cloud platform, wherein the alarm event comprises event detail information;
and the cloud platform is used for receiving the alarm events uploaded by the intelligent analysis equipment corresponding to each monitoring unit and responding to the alarm events to notify the post manager through the intelligent monitoring terminal corresponding to each monitoring unit.
In one embodiment, the intelligent monitoring system further comprises a video recorder, an exchanger and a router corresponding to each monitoring unit, the router and the exchanger of each monitoring unit are connected, the intelligent analysis equipment and the video recorder of each monitoring unit are respectively connected with the exchanger of the monitoring unit, and the router of each monitoring unit is in communication connection with the cloud platform;
the intelligent analysis equipment is used for shooting the monitored post area of the corresponding monitoring unit to obtain video data;
and the video recorder is used for storing the video data shot by the intelligent analysis equipment of the monitoring unit.
In one embodiment, the cloud platform is specifically configured to:
determining the event grade of the alarm event, determining a notification mode according to the event grade, and notifying a post manager through the intelligent monitoring terminal corresponding to each monitoring unit according to the notification mode, wherein the notification mode comprises the steps of pushing notification messages, short messages and dialing to the intelligent monitoring terminal.
In one embodiment, the intelligent analysis device is further configured to obtain off-post monitoring requirement information, where the off-post monitoring requirement information includes an area range of a monitored position area, the number of monitored objects in the monitored position area, an off-post behavior determination duration, an off-post event reporting period, and an off-post event level;
the intelligent analysis equipment is also used for judging that the post state is in the post leaving state if the time length of the part of the monitored objects in the analysis area range leaving the area range exceeds the post leaving behavior judgment time length based on the video data and the number of the monitored objects;
the intelligent analysis equipment is also used for responding to the off-Shift state, binding off-Shift site detail information to generate an off-Shift alarm event, and uploading the off-Shift alarm event and the off-Shift event level to the cloud platform;
and the intelligent analysis equipment is also used for uploading an off-post alarm event to the cloud platform if the post state is still in the off-post state in the reporting period of the next off-post event until the post state is changed from the off-post state to the normal state.
In an embodiment, the intelligent analysis device is further configured to obtain sleep state supervision requirement information, where the sleep state supervision requirement information includes a region range of a monitored position region, sleep detection sensitivity, a sleep event reporting period, and a sleep event level;
the intelligent analysis equipment is also used for analyzing whether the monitored object has a sleeping condition or not based on the video data and the sleeping post detection sensitivity, and judging that the post state is the sleeping state if the sleeping condition exists;
the intelligent analysis equipment is also used for responding to the sleeping post state binding sleeping post site detail information to generate a sleeping post alarm event, and uploading the sleeping post alarm event and the sleeping post event grade to the cloud platform;
and the intelligent analysis equipment is also used for uploading the sleep post alarm event to the cloud platform until the post state is converted into the normal state from the sleep post state if the post state is still in the sleep post state in the next sleep post event reporting period.
In one embodiment, the intelligent analysis device is further configured to obtain the idle state monitoring requirement information, where the idle state monitoring requirement information includes an area range of a monitored position area, the number of monitored objects in the monitored position area, an idle behavior determination duration, an idle event reporting period, and an idle event level;
the intelligent analysis equipment is also used for judging that the post state is the idle post state if all the monitored objects corresponding to the number of the monitored objects are analyzed to leave the area range and the leaving time length exceeds the idle post behavior judgment time length based on the video data;
the intelligent analysis equipment is also used for responding to the idle state binding idle site detail information to generate an idle warning event, and uploading the idle warning event and the level of the idle warning event to the cloud platform;
and the intelligent analysis equipment is also used for uploading the idle alarm event to the cloud platform if the post state is still in the idle state in the next idle event reporting period until the post state is changed from the idle state to the normal state.
In one embodiment, the intelligent monitoring terminal is further configured to send an alarm event viewing request to the cloud platform, where the alarm event viewing request is used to request viewing of event detail information of a target alarm event;
and the cloud platform is also used for responding to the alarm event checking request and feeding back the event detail information of the target alarm event to the intelligent monitoring terminal.
In one embodiment, the intelligent monitoring system further comprises a data billboard system, and the data billboard system is connected with the cloud platform;
the cloud platform is also used for counting the alarm events of each monitoring unit to obtain event counting results;
and the data billboard system is used for displaying the event statistical result of the monitoring unit.
An intelligent monitoring method based on an intelligent monitoring system comprises a cloud platform, and intelligent analysis equipment and an intelligent monitoring terminal which correspond to each monitoring unit, wherein the intelligent analysis equipment and the intelligent monitoring terminal which correspond to each monitoring unit are in communication connection with the cloud platform, and the method comprises the following steps:
the intelligent analysis equipment acquires video data of a monitored post area corresponding to a monitoring unit;
the intelligent analysis equipment monitors and analyzes the video data to obtain the post state of the monitored post area;
if the post state accords with a preset set event, the intelligent analysis equipment responds to the post state to generate a corresponding alarm event and reports the alarm event to the cloud platform, wherein the alarm event comprises event detail information;
the cloud platform receives alarm events uploaded by intelligent analysis equipment corresponding to each monitoring unit;
and the cloud platform responds to the alarm event to notify the post manager through the intelligent monitoring terminal corresponding to each monitoring unit.
A computer-readable storage medium, in which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the intelligent analysis device or the cloud platform in the intelligent monitoring method.
In one of the provided schemes, the cloud platform establishes a communication connection relation with the intelligent analysis equipment of each monitoring unit, and can comprehensively monitor important posts of all monitoring units of the group, so that the operation of the important posts in all projects in the group forms a data lake, and compared with other independent post state analysis schemes, the scheme has the advantages that the system is across a unit network, the data networking and unified management are realized, and the data analysis and evaluation of the group from the whole body are facilitated; and moreover, monitoring across monitoring units is formed, compared with other inspection rectification mechanisms, the group manages and controls the post managers in a linkage manner from a vertical management and control manner, so that the manual inspection cost is reduced, a service closed loop is formed, vertical monitoring across project convergence groups is realized, and the monitoring effectiveness is higher.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a system framework diagram of an intelligent monitoring system according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of an intelligent monitoring method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1, the intelligent monitoring system provided in the embodiment of the present application includes a cloud platform, and an intelligent analysis device and an intelligent monitoring terminal corresponding to each monitoring unit, where the intelligent analysis device and the intelligent monitoring terminal corresponding to each monitoring unit are all in communication connection with the cloud platform, and illustratively, each monitoring unit includes a monitoring unit 1, a monitoring unit 2, a monitoring unit N, and the monitoring unit 1-the monitoring unit N are all in communication connection with the cloud platform.
In an embodiment, the intelligent monitoring system further comprises a video recorder, an exchanger and a router corresponding to each monitoring unit, the router and the exchanger of each monitoring unit are connected, the intelligent analysis device and the video recorder of each monitoring unit are respectively connected with the exchanger of the monitoring unit, and the router of each monitoring unit is in communication connection with the cloud platform. Taking monitoring unit 1 as an example, the intelligent analysis equipment and the video recorder of monitoring unit 1 are connected with the switch of monitoring unit 1 respectively, the switch of monitoring unit 1 is connected with the router of monitoring unit 1 again, the router of monitoring unit 1 is connected to the cloud platform and establishes the network transmission relation, so, the intelligent analysis equipment of monitoring unit 1 just can carry out network transmission with the cloud platform, consequently, the intelligent analysis of each monitoring unit has all established the network transmission relation with the cloud platform. The video recorder is used for storing video data shot by the intelligent analysis equipment, so that the corresponding monitoring units are used as backup data for subsequent inquiry and calling.
The intelligent monitoring terminal can be but not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, and the cloud platform can be realized by an independent cloud server or a server cluster formed by a plurality of cloud servers. The intelligent analysis device is a device capable of shooting and analyzing video data in real time in a monitored position area, and exemplarily, the intelligent analysis device may be an intelligent ball machine, or may be a device formed by combining an independent analysis device and a camera, which is not limited specifically.
The intelligent monitoring system provided by the application can be applied to a group with a plurality of business states in the transverse direction, such as a real estate group. For example, a property group is taken as an example, the property group usually has a distribution of items in businesses, communities, apartments, work sites, and the like, and these items usually have important positions to be monitored. Each monitoring unit refers to a unit with position monitoring in the group, so that corresponding intelligent analysis equipment, routers, switches and the like can be deployed in different monitoring units to establish a communication relationship with a cloud platform, and monitoring deployment coverage of fire high-risk units, fire control security key units, personnel sentry boxes and duty room schemes in the group, all businesses, apartments, hotels, old people, governments and public institutions is completed.
In the intelligent monitoring system, the intelligent analysis equipment is used for acquiring video data of a monitored post area corresponding to a monitoring unit and carrying out monitoring analysis on the video data to acquire the post state of the monitored post area; and if the post state accords with the preset set event, responding to the post state to generate a corresponding alarm event and reporting the alarm event to the cloud platform, wherein the alarm event comprises event detail information. In one embodiment, the event detail information may include event live video, pictures, location information, event type (status), time, etc. information. And is not particularly limited.
For example, taking the monitoring unit 1 as an example, there may be a plurality of important posts to be monitored under the monitoring unit 1, and a plurality of monitored post areas correspondingly exist, for example, taking the monitored post area as a monitoring room, the intelligent analysis device of the monitoring unit 1 is configured to obtain video data in the monitoring room, and perform monitoring analysis on the video data to obtain a post state of the monitoring room, and if the post state of the monitoring room meets a preset set event, generate an alarm event corresponding to the monitoring room in response to the post state and report the alarm event to the cloud platform, where the alarm event includes event detail information, and for example, the event detail information may include a field monitoring video, a picture, and the like in the monitoring room. The other monitored position areas of the monitoring unit 1, or the monitored position areas of the other monitoring units, and so on, are not specifically illustrated here.
And the cloud platform is used for receiving the alarm events uploaded by the intelligent analysis equipment corresponding to each monitoring unit and responding to the alarm events to notify the post manager through the intelligent monitoring terminal corresponding to each monitoring unit.
Illustratively, after the monitoring unit 1 generates and uploads the alarm event corresponding to the monitoring room, the cloud platform receives the alarm event of the monitoring room of the monitoring unit 1, responds to the alarm event, and notifies the corresponding post manager through the intelligent monitoring terminal corresponding to the monitoring unit 1. Therefore, the post manager can respond to the alarm event in time, so that the post state of the control room can be concerned and reminded in time. It should be noted that, when the post states of the other monitored post areas of the monitoring unit 1 and/or the post states of the monitored post areas of the other monitoring units also trigger the alarm event, the cloud platform may also receive the alarm event.
According to the embodiment of the application, the communication connection relation is established between the cloud platform and the intelligent analysis equipment of each monitoring unit, so that the important posts of all monitoring units in a group can be comprehensively monitored, the operation of the important posts in all projects in the group forms a data lake, and compared with other independent post state analysis schemes, the scheme has the advantages that the system is across-unit network, data networking and unified management are realized, and the data analysis and evaluation of the group from the whole body are facilitated; and moreover, monitoring across monitoring units is formed, compared with other inspection rectification mechanisms, the group vertical management and control linkage post manager not only reduces the manual inspection cost, but also forms a service closed loop, so that cross-project convergence group vertical supervision is realized, a single intelligent analysis device realizes multiple post states, and the monitoring effectiveness is higher.
In an embodiment, the cloud platform is specifically configured to: determining the event grade of the alarm event, determining a notification mode according to the event grade, and notifying a post manager through the intelligent monitoring terminal corresponding to each monitoring unit according to the notification mode, wherein the notification mode comprises the steps of pushing notification messages, short messages and dialing to the intelligent monitoring terminal.
In this embodiment, when the intelligent analysis device uploads the alarm event, the intelligent analysis device reports the event level of the alarm event together, where the event level may be set to high, medium, or low, for example, and a higher level indicates that the corresponding alarm event is more urgent, and vice versa. After receiving the alarm event and the event grade reported by the intelligent analysis equipment, the cloud platform determines the event grade of the alarm event, determines a notification mode according to the event grade, and notifies a post manager through the intelligent monitoring terminal corresponding to each monitoring unit according to the notification mode. Illustratively, when the event level is high, a call is made to an intelligent monitoring terminal such as an owned mobile phone of the post management, and when the event level is medium or low, a notification message or a short message is pushed to the intelligent monitoring terminal such as an owned mobile phone of the post management, a working computer, and the like, and the notification message or the short message is used for informing a post manager of a corresponding alarm event. Therefore, in the embodiment, a plurality of reminding modes exist, the post manager is reminded to pay attention to the alarm event and the adjustment and modification in time according to the event level, and the monitoring mode is more flexible.
It should be noted that, in some embodiments, the preset setting event includes one or more of the following post status events: an idle state, an off-duty state and a sleep state.
Sleeping state: in the monitored post area, a worker keeps the same action for a long time without fine activities in the post area, and the worker is defined as sleeping;
off-post state: the method refers to that when a plurality of workers are on duty in a monitored duty area, the leaving time of one or more workers reaches a set time length threshold value. Such as: two people become one person on duty;
the idle state: and in the monitoring area, when a plurality of workers or one worker on duty exist, all the workers leave to reach the set time length threshold. Such as: the on duty personnel are changed from one person to no one.
Based on the preset setting event, the embodiment of the application can be divided into the following application scenarios:
scene one, off-post detection
In this scenario embodiment, the intelligent analysis device is further configured to obtain the off-post monitoring requirement information, where the off-post monitoring requirement information includes an area range of the monitored post area, the number of monitored objects in the monitored post area, the off-post behavior determination duration, the off-post event reporting period, and the off-post event level. That is to say, for the situation of the staff at the important post of the monitoring unit, the intelligent analysis device configures the supervision requirement of the off-post state of the staff in advance according to the situation of the response user, that is, configures the supervision requirement information of the off-post state.
And the intelligent analysis equipment is also used for judging that the post state is the off-post state if the time length of the part of the monitored objects in the analysis area range leaving the area range exceeds the off-post behavior judgment time length based on the video data and the number of the monitored objects. For example, continuing to take the cab of the monitoring unit 1 as an example, the area range of the cab may refer to the entire cab, and when there are multiple monitored objects (multiple workers) in the cab, the time length for an individual person to leave the cab reaches the set off-post behavior determination time length, for example: and changing two persons into one person who is on duty, and judging that the off-duty state of the control room is in the off-duty state if the off-duty time of the off-duty person exceeds the off-duty behavior judgment time.
The intelligent analysis equipment is also used for responding to the off-Shift state, binding off-Shift site detail information to generate an off-Shift alarm event, and uploading the off-Shift alarm event and the off-Shift event level to the cloud platform; and if the off-post state is still in the off-post state in the reporting period of the next off-post event, continuing to upload the off-post alarm event to the cloud platform until the off-post state is converted into the normal state.
And the off-post event reporting period refers to the frequency of reporting the off-post alarm event after the off-post alarm event is triggered in the monitored post area. For example, 2 people are on duty, the off duty rule is set to be 5 minutes to leave duty, that is, the off duty behavior determination time is 5 minutes, and the off duty alarm event reporting frequency interval is 30 minutes. After 1 person leaves for 5 minutes, the intelligent analysis equipment reports an off-duty alarm event; if the person does not return within 30 minutes, the intelligent analysis equipment reports an off-post alarm event again, and so on until the off-post state is changed into the normal state, namely 2 persons leave the room and then return to the control room.
It should be noted that the off-Shift alarm event reported again may be an off-Shift alarm event generated in the reporting period of the last off-Shift event, or an off-Shift alarm event newly generated in the reporting period of the current off-Shift event and bound with the latest off-Shift site detail information, which is not limited specifically.
And the cloud platform is used for receiving the off-post alarm event uploaded by the intelligent analysis equipment and responding the off-post alarm event level of the off-post alarm event to notify the post manager.
It can be seen that, in this scenario embodiment, if the worker has an off-post condition, the intelligent analysis device may detect that the corresponding worker's off-post state generates an off-post alarm event, and the off-post alarm event is bound to a live off-post picture and a video and reported to the background cloud platform, so that the cloud platform triggers an announcement, and notifies the post manager through telephone, short message, APP, and other push modes according to the level of the off-post alarm event to remind the worker of paying attention and modifying. If the correction is not in place within the specified time, triggering secondary reminding when the reporting period of the next off-Shift event is up, wherein the secondary reminding is equivalent to setting the limited time length of abnormal state correction: when receiving the related alarm push prompt, the post manager is required to restore the normal on-post state within a specified time, otherwise, the post manager performs the second, third or even more times of push prompt, namely, the interval frequency of the abnormal state periodic reporting and the specific post state determine, so that patrol checking of post state patrolmen can be reduced, management means of post upgrading state supervisor can be optimized, and efficiency can be improved.
Scene two, sleeping post detection
In this scenario embodiment, the intelligent analysis device is further configured to obtain sleep state monitoring requirement information, where the sleep state monitoring requirement information includes a region range of the monitored position region, sleep detection sensitivity, a sleep event reporting period, and a sleep event level. That is to say, for the condition of the staff at the important post of the monitoring unit, the intelligent analysis device configures the monitoring requirement of the sleep state of the staff in advance according to the condition of the responding user, that is, configures the monitoring requirement information of the sleep state. The detection sensitivity of the sleeping position refers to a detection scale algorithm of the sleeping position, the higher the detection sensitivity of the sleeping position is, the stricter the detection of the sleeping position is, and on the contrary, the detection sensitivity is determined by the detection algorithm of the sleeping position and is not specifically described. Therefore, different detection sensitivities can be set according to different posts, and the method is more flexible and wider in applicable scene. The user can set the above detection sensitivity by a screen input means, which will not be described herein.
And the intelligent analysis equipment is also used for analyzing whether the monitored object has a sleeping condition or not based on the video data and the sleeping position detection sensitivity, and judging that the position state is the sleeping position state if the sleeping condition occurs. Illustratively, continuing to take the monitoring room of the monitoring unit 1 as an example, the area range of the monitoring room may refer to the whole monitoring room, the monitored object (staff) of the monitoring room, when sleeping. Such as: and if the fact that the personnel sleep is defined as that the personnel do not have fine activities in the same action for a long time, the situation that the sleeping is in the room is judged.
The intelligent analysis equipment is also used for responding to the sleeping post state binding sleeping post site detail information to generate a sleeping post alarm event, and uploading the sleeping post alarm event and the sleeping post event grade to the cloud platform; and if the post state is still in the post state in the next post event reporting period, uploading the post warning event to the cloud platform until the post state is changed from the post state to the normal state.
The sleeping post event reporting period refers to the frequency of reporting the event after triggering the sleeping post alarm event in the monitored post area. For example, after the sleep alert event is triggered and generated, the reporting frequency interval of the sleep alert event is 20 minutes. After 20 minutes, if the person is detected to be still sleeping, the intelligent analysis equipment reports a sleep post alarm event; and the rest is repeated until the post state is changed from the sleep state to the normal state. It should be noted that the post-sleep warning event reported again may be a post-sleep warning event generated in the reporting period of the last post-sleep event, or a post-sleep warning event bound with the detail information of the post-sleep site in the current reporting period and regenerated in the reporting period of the current post-sleep event, which is not limited specifically.
And the cloud platform is used for receiving the sleep post alarm event uploaded by the intelligent analysis equipment and responding the sleep post alarm event level of the sleep post alarm event to notify the post manager.
It can be seen that, in this scenario embodiment, if a worker has a sleep condition, the intelligent analysis device may detect that a sleep alarm event is generated in a corresponding worker's sleep state, and the sleep alarm event is bound to a live sleep picture and a live video and reported to the background cloud platform, so that the cloud platform triggers a relevant notification, and notifies a post manager to remind the worker of paying attention and modifying in a manner of pushing by phone, short message, APP, and the like according to the level of the sleep alarm event. If the state is not corrected in place within the specified time, triggering secondary reminding when the reporting period of the next sleep post event is up, wherein the secondary reminding also corresponds to setting the state abnormal correction limited time length: when receiving the related warning push prompt, the post manager is required to restore the normal post state within a specified time, otherwise, the post manager carries out second, third or even more times of push prompt, namely, the interval frequency of the abnormal state periodic reporting and the specific post state determine, the patrol checking of the post state patrol personnel can be reduced, the management means of the post state supervision personnel is optimized, the quality and efficiency are improved, and the purpose of service closed loop which is the same as the service closed loop of the personnel off-post detection scene is formed.
Scene three, idle post detection
In this scenario embodiment, the intelligent analysis device is further configured to obtain the idle state monitoring requirement information, where the idle state monitoring requirement information includes an area range of the monitored position area, the number of monitored objects in the monitored position area, the idle behavior determination duration, the idle event reporting period, and the idle event level. That is to say, for the working personnel situation of the important post of the monitoring unit, the intelligent analysis device configures the personnel idle state supervision requirement in advance according to the response user situation, that is, configures the above idle state supervision requirement information.
And the intelligent analysis equipment is also used for judging that the post state is the idle post state if all the monitored objects corresponding to the number of the monitored objects are analyzed to leave the area range and the leaving time length exceeds the idle post behavior judgment time length based on the video data. For example, continuing to take the cab of the monitoring unit 1 as an example, the area range of the cab may refer to the entire cab, and when there are multiple monitored objects (multiple workers) in the cab, the time length of all people leaving the cab reaches the set idle-post behavior determination time length, for example: in the control room, for example: and if one or more people on duty change into no people on duty and the duration exceeds the idle-duty behavior judgment duration, the control room is judged to be in the idle-duty state.
The intelligent analysis equipment is also used for responding to the idle state binding idle site detail information to generate an idle warning event, and uploading the idle warning event and the level of the idle warning event to the cloud platform; and if the post state is still in the idle state in the next idle event reporting period, uploading the idle alarm event to the cloud platform until the post state is changed from the idle state to the normal state.
The idle post event reporting period refers to the frequency of reporting the event after triggering the idle post alarm event in the monitored post area. For example, 2 people are on duty, the idle-duty rule sets that none of the 2 people in the monitored-duty region is on duty for more than 10 minutes, that is, the idle-duty behavior determination time is 10 minutes, and the idle-duty alarm event reporting frequency interval is 15 minutes. After the intelligent analysis equipment reports the idle post alarm event once, if the intelligent analysis equipment is still in the idle post state after 5 minutes, the intelligent analysis equipment reports the idle post alarm event once again, and so on until the post state is changed from the idle post state to the normal state.
It should be noted that the reported idle post alarm event again may be an idle post alarm event generated in the last idle post event reporting period, or an idle post alarm event newly generated in the current idle post event reporting period and bound with the latest idle post site detail information, and is not particularly limited.
And the cloud platform is used for receiving the idle post alarm event uploaded by the intelligent analysis equipment and responding the off-post alarm event level of the idle post alarm event to notify a post manager.
Therefore, in the scene embodiment, if the staff has an idle condition, the intelligent analysis device can detect the corresponding staff position state to generate an idle alarm event, the idle alarm event is bound with a picture and a video of a scene leaving the idle and reported to the background cloud platform, so that the cloud platform triggers a notification, informs the position manager through pushing modes such as a telephone, a short message, a mobile phone APP and the like according to the level of the idle alarm event, and reminds the position manager to pay attention and correct the idle alarm event. If the state is not properly modified within the specified time, triggering secondary reminding when the reporting period of the next idle post event is up, wherein the secondary reminding is equivalent to setting the abnormal modification limit time length of the idle post state: and when receiving the related alarm push prompt, the post manager is required to restore the normal on-post state within a specified time, otherwise, the post manager performs second, third or even more times of push prompt, namely, the post manager is determined by the periodic reporting interval frequency of the abnormal state and the specific post state, so that patrol checking of post state patrolmen can be further reduced, management means of the post state supervisor can be optimized, and quality and efficiency can be improved.
It can be seen that, in the above embodiment, through the intelligent monitoring system provided in the embodiment of the present application, unified monitoring of sleeping, idle, and leaving can be implemented for all monitored post areas in a group, and compared with the conventional scheme, only the number of people who leave the post can be identified or identified, or different numbers of people who leave the post cannot be distinguished, the present scheme can implement more comprehensive monitoring in the vertical field, and has stronger effectiveness and timeliness.
In addition, the traditional scheme does not grade the warning mode, and the management requirements of various post states cannot be met, in the application, different warning levels are provided for different post states (sleeping and/or empty and/or leaving), and in the monitoring for each post, the states of different numbers of people leaving the post can be distinguished, namely, the warning can be graded differently according to the leaving state and the number of people, so that more management requirements are met.
In one embodiment, the intelligent monitoring terminal is further configured to send an alarm event viewing request to the cloud platform, where the alarm event viewing request is used to request viewing of event detail information of a target alarm event; and the cloud platform is also used for responding to the alarm event viewing request and feeding back the event detail information of the target alarm event to the intelligent monitoring terminal. In this embodiment, the post manager or a higher-level manager can request the cloud platform for the detailed information of the viewing event corresponding to a certain alarm event, such as the position live of the alarm event, the video playback of the event site, the screenshot of the event site, and the like, at any time and any place through the mobile phone APP, the computer client and other intelligent monitoring terminals, which is very convenient.
In one embodiment, the intelligent monitoring system further comprises a data billboard system, and the data billboard system is connected with the cloud platform; the cloud platform is also used for counting the alarm events of each monitoring unit to obtain event counting results; and the data billboard system is used for displaying the event statistical result of the monitoring unit. In the embodiment, the cloud platform is communicated with the data billboard system for data statistics and mining, so that the quality control of the working state of the group whole personnel can be formed.
In summary, the intelligent monitoring system provided by the embodiment of the application has the following advantages: the cloud platform establishes a communication connection relation with the intelligent analysis equipment of each monitoring unit, and can comprehensively monitor important posts of all monitoring units of a group, so that the important posts in all projects in the group operate to form a data lake, and compared with other independent post state analysis schemes, the scheme has the advantages that the system is across a unit network, data networking is realized, monitoring data is uniformly managed and fused, and the group can be favorably subjected to data analysis and evaluation from the whole; and moreover, monitoring across monitoring units is formed, compared with other inspection rectification mechanisms, the group vertical management and control linkage post manager not only reduces the manual inspection cost, but also forms a service closed loop, realizes cross-project convergence group vertical supervision, realizes multiple post states of sleeping post detection, idle post detection and off post detection by a single intelligent analysis device, and provides special post monitoring of the idle post state, so that the monitoring effectiveness is higher, and the monitoring effect is better.
In an embodiment, an intelligent monitoring method based on an intelligent monitoring system is further provided, as shown in fig. 2, the method includes:
s10: the intelligent analysis equipment acquires video data of a monitored post area corresponding to a monitoring unit;
s20: the intelligent analysis equipment monitors and analyzes the video data to obtain the post state of the monitored post area;
s30: if the post state accords with a preset set event, the intelligent analysis equipment responds to the post state to generate a corresponding alarm event and reports the alarm event to the cloud platform, wherein the alarm event comprises event detail information;
s40: the cloud platform receives alarm events uploaded by intelligent analysis equipment corresponding to each monitoring unit;
s50: and the cloud platform responds to the alarm event to notify the post manager through the intelligent monitoring terminal corresponding to each monitoring unit.
In one embodiment, the method for notifying the post manager through the intelligent monitoring terminal corresponding to each monitoring unit by the cloud platform in response to the alarm event includes: determining the event grade of the alarm event, determining a notification mode according to the event grade, and notifying a post manager through the intelligent monitoring terminal corresponding to each monitoring unit according to the notification mode, wherein the notification mode comprises the steps of pushing notification messages, short messages and dialing to the intelligent monitoring terminal.
In an embodiment, the intelligent analysis device performs monitoring analysis on the video data to obtain the station status of the monitored station area, and the method includes: acquiring off-post state supervision requirement information, wherein the off-post state supervision requirement information comprises an area range of a monitored position area, the number of monitored objects in the monitored position area, off-post behavior judgment duration, an off-post event reporting period and an off-post event grade; if the time length of the part of the monitored objects in the analysis area range leaving the area range exceeds the off-post behavior judgment time length based on the video data and the number of the monitored objects, judging that the post state is the off-post state;
the intelligent analysis equipment responds to the post state to generate a corresponding alarm event and reports the alarm event to the cloud platform, and the method comprises the following steps: responding to the off-Shift state to bind off-Shift site detail information to generate an off-Shift warning event, and uploading the off-Shift warning event and the off-Shift event level to the cloud platform; and if the off-post state is still in the off-post state in the reporting period of the next off-post event, uploading an off-post warning event to the cloud platform until the off-post state is changed into the normal state.
In an embodiment, the intelligent analysis device performs monitoring analysis on the video data to obtain the station status of the monitored station area, and further includes: acquiring sleep state supervision requirement information, wherein the sleep state supervision requirement information comprises the area range of a monitored position area, the sleep detection sensitivity, the sleep event reporting period and the sleep event level; if the monitored object has the sleeping condition based on the video data and the sleeping post detection sensitivity, judging that the post state is the sleeping post state if the sleeping condition occurs;
the intelligent analysis equipment responds to the post state to generate a corresponding alarm event and reports the alarm event to the cloud platform, and the intelligent analysis equipment further comprises: responding to the sleeping state, binding the sleeping site detail information to generate a sleeping alarm event, and uploading the sleeping alarm event and the sleeping event grade to the cloud platform; and if the post state is still in the post state in the next post event reporting period, uploading the post warning event to the cloud platform until the post state is changed from the post state to the normal state.
In an embodiment, the intelligent analysis device performs monitoring analysis on the video data to obtain the station status of the monitored station area, and further includes: acquiring idle state supervision requirement information, wherein the idle state supervision requirement information comprises an area range of a monitored position area, the number of monitored objects in the monitored position area, idle behavior judgment duration, an idle event reporting period and an idle event grade; if all the monitored objects corresponding to the number of the monitored objects are analyzed to leave the area range based on the video data and the leaving time length exceeds the idle operation judgment time length, judging that the post state is the idle state;
the intelligent analysis equipment responds to the post state to generate a corresponding alarm event and reports the alarm event to the cloud platform, and the intelligent analysis equipment further comprises: responding to the idle state binding idle site detail information to generate an idle warning event, and uploading the idle warning event and the level of the idle event to the cloud platform; and if the post state is still in the idle state in the next idle event reporting period, uploading the idle alarm event to the cloud platform until the post state is changed from the idle state to the normal state.
In an embodiment, after the cloud platform responds to the alarm event to notify the post manager through the intelligent monitoring terminal corresponding to each monitoring unit, the method further includes:
the intelligent monitoring terminal sends an alarm event viewing request to the cloud platform, wherein the alarm event viewing request is used for requesting to view event detail information of a target alarm event;
and the cloud platform responds to the alarm event checking request and feeds back the event detail information of the target alarm event to the intelligent monitoring terminal.
In an embodiment, the method further comprises:
the cloud platform counts the alarm events of each monitoring unit to obtain event counting results;
and the data billboard system displays the event statistical result of the monitoring unit.
It should be noted that, for specific limitations of the intelligent monitoring method, reference may be made to the above limitations of the intelligent monitoring system, and details are not described herein again.
In one embodiment, a computer device is provided, which may be a cloud platform (or intelligent analysis device), and its internal structure diagram may be as shown in fig. 3. The computer equipment comprises a processor, a memory and a communication interface which are connected through a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for connecting and communicating with external intelligent analysis equipment (or a cloud platform) through a network. The computer program is executed by a processor to realize the functions of the cloud platform or the intelligent analysis device in the intelligent monitoring system.
In an embodiment, a computer readable storage medium is further provided, which stores a computer program, and when executed by a processor, the computer program implements the steps of the intelligent analysis device or the cloud platform in the foregoing intelligent monitoring method.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), Rambus (Rambus) direct RAM (RDRAM), direct bused dynamic RAM (DRDRAM), and bused dynamic RAM (RDRAM).
It should be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is only used for illustration, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the apparatus may be divided into different functional units or modules to perform all or part of the above described functions.
The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; 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; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present application, and they should be construed as being included in the present application.
Claims (10)
1. An intelligent monitoring system is characterized by comprising a cloud platform, and intelligent analysis equipment and an intelligent monitoring terminal which correspond to each monitoring unit, wherein the intelligent analysis equipment and the intelligent monitoring terminal which correspond to each monitoring unit are in communication connection with the cloud platform;
the intelligent analysis equipment is used for acquiring video data of a monitored post area corresponding to a monitoring unit and carrying out monitoring analysis on the video data to acquire the post state of the monitored post area; if the post state accords with a preset set event, responding to the post state to generate a corresponding alarm event and reporting the alarm event to the cloud platform, wherein the alarm event comprises event detail information;
the cloud platform is used for receiving the alarm events uploaded by the intelligent analysis equipment corresponding to each monitoring unit and responding to the alarm events to notify the post manager through the intelligent monitoring terminals corresponding to each monitoring unit;
the intelligent analysis equipment is further used for acquiring off-post state supervision requirement information, wherein the off-post state supervision requirement information comprises the area range of the monitored position area, the number of monitored objects in the monitored position area, off-post behavior judgment duration, an off-post event reporting period and an off-post event grade;
the intelligent analysis equipment is further configured to determine that the post state is the off-post state if the time length for analyzing that part of the monitored objects in the area range leave the area range exceeds the off-post behavior determination time length based on the video data and the number of the monitored objects;
the intelligent analysis equipment is also used for responding to the off-Shift state, binding off-Shift site detail information to generate an off-Shift alarm event, and uploading the off-Shift alarm event and the off-Shift event level to the cloud platform.
2. The intelligent monitoring system according to claim 1, further comprising a video recorder, a switch and a router corresponding to each monitoring unit, wherein the router and the switch of each monitoring unit are connected, the intelligent analysis device and the video recorder of each monitoring unit are respectively connected with the switch of the monitoring unit, and the router of each monitoring unit is in communication connection with the cloud platform;
the intelligent analysis equipment is used for shooting the monitored post area of the corresponding monitoring unit to acquire the video data;
the video recorder is used for storing the video data shot by the intelligent analysis equipment of the monitoring unit.
3. The intelligent monitoring system according to claim 1, wherein the cloud platform is specifically configured to:
determining the event level of the alarm event, determining a notification mode according to the event level, and notifying a post manager through the intelligent monitoring terminal corresponding to each monitoring unit according to the notification mode, wherein the notification mode comprises pushing a notification message, a short message and dialing to the intelligent monitoring terminal.
4. The intelligent monitoring system of any one of claims 1-3,
the intelligent analysis device is further configured to upload the off-post alarm event to the cloud platform if the post state is still in the off-post state in the next off-post event reporting period until the post state changes from the off-post state to a normal state.
5. The intelligent monitoring system of any one of claims 1-3,
the intelligent analysis equipment is further used for acquiring sleep state supervision requirement information, wherein the sleep state supervision requirement information comprises the area range of the monitored position area, the sleep detection sensitivity, the sleep event reporting period and the sleep event level;
the intelligent analysis equipment is also used for analyzing whether the monitored object has a sleeping condition or not based on the video data and the sleeping post detection sensitivity, and if the sleeping condition occurs, judging that the post state is the sleeping state;
the intelligent analysis equipment is also used for responding to the sleeping state, binding the sleeping site detail information to generate a sleeping alarm event, and uploading the sleeping alarm event and the sleeping event level to the cloud platform;
the intelligent analysis device is further configured to upload the sleep post alarm event to the cloud platform until the post state is changed from the sleep post state to a normal state if the post state is still the sleep post state in a next sleep post event reporting period.
6. The intelligent monitoring system of any one of claims 1-3,
the intelligent analysis equipment is further configured to obtain idle state supervision requirement information, where the idle state supervision requirement information includes an area range of the monitored position area, the number of monitored objects in the monitored position area, idle behavior determination duration, an idle event reporting period, and an idle event level;
the intelligent analysis equipment is further configured to determine that the post state is the idle post state if all the monitored objects corresponding to the number of the monitored objects leave the area range and leave time duration exceeds the idle post behavior determination time duration based on the video data;
the intelligent analysis equipment is also used for responding to the idle state binding idle site detail information to generate an idle warning event, and uploading the idle warning event and the level of the idle warning event to the cloud platform;
the intelligent analysis equipment is further configured to upload the idle post warning event to the cloud platform until the post state changes from the idle post state to a normal state if the post state is still the idle post state in a next idle post event reporting period.
7. The intelligent monitoring system of any one of claims 1-3,
the intelligent monitoring terminal is also used for sending an alarm event viewing request to the cloud platform, wherein the alarm event viewing request is used for requesting to view event detail information of a target alarm event;
and the cloud platform is further used for responding to the alarm event viewing request and feeding back the event detail information of the target alarm event to the intelligent monitoring terminal.
8. The intelligent monitoring system according to any one of claims 1-3, further comprising a data billboard system, the data billboard system connected to the cloud platform;
the cloud platform is further used for counting the alarm events of the monitoring units to obtain event counting results;
and the data billboard system is used for displaying the event statistical result of the monitoring unit.
9. An intelligent monitoring method based on an intelligent monitoring system is characterized in that the intelligent monitoring system comprises a cloud platform, and intelligent analysis equipment and an intelligent monitoring terminal which correspond to each monitoring unit, wherein the intelligent analysis equipment and the intelligent monitoring terminal which correspond to each monitoring unit are in communication connection with the cloud platform, and the method comprises the following steps:
the intelligent analysis equipment acquires video data of a monitored post area corresponding to a monitoring unit;
the intelligent analysis equipment monitors and analyzes the video data to acquire the post state of the monitored post area;
if the post state accords with a preset set event, the intelligent analysis equipment responds to the post state to generate a corresponding alarm event and reports the alarm event to the cloud platform, wherein the alarm event comprises event detail information;
the cloud platform receives alarm events uploaded by intelligent analysis equipment corresponding to each monitoring unit;
the cloud platform responds to the alarm event to notify a post manager through the intelligent monitoring terminal corresponding to each monitoring unit;
the method further specifically comprises the following steps:
the intelligent analysis equipment acquires off-post state supervision requirement information, wherein the off-post state supervision requirement information comprises the area range of the monitored position area, the number of monitored objects in the monitored position area, off-post behavior judgment duration, an off-post event reporting period and an off-post event grade;
if the intelligent analysis equipment analyzes that the time length of a part of the monitored objects in the area range leaving the area range exceeds the off-post behavior judgment time length based on the video data and the number of the monitored objects, judging that the post state is an off-post state;
and the intelligent analysis equipment responds to the off-Shift state to bind off-Shift site detail information to generate an off-Shift alarm event, and uploads the off-Shift alarm event and the off-Shift event level to the cloud platform.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the intelligent monitoring method based on an intelligent monitoring system according to claim 9.
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