CN111614935A - Intelligent monitoring method and device, terminal equipment and readable storage medium - Google Patents
Intelligent monitoring method and device, terminal equipment and readable storage medium Download PDFInfo
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- CN111614935A CN111614935A CN202010371010.1A CN202010371010A CN111614935A CN 111614935 A CN111614935 A CN 111614935A CN 202010371010 A CN202010371010 A CN 202010371010A CN 111614935 A CN111614935 A CN 111614935A
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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
- H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Abstract
The invention provides an intelligent monitoring method, an intelligent monitoring device, terminal equipment and a readable storage medium, wherein the method comprises the following steps: receiving a monitoring signal of the living body sensing module in real time, and starting a camera when a living body is monitored to appear in a target monitoring area; acquiring a video image of the target monitoring area through the camera, and extracting facial feature data from the video image; and comparing the facial feature data with pre-stored event reminding strategies, and generating reminding information corresponding to the judging conditions and sending the reminding information to a manager terminal when any judging condition in the event reminding strategies is met. The invention can reduce the triggering of unnecessary alarm events when monitoring the target area, thereby reducing the power consumption of equipment and saving network resources while ensuring the safety monitoring.
Description
Technical Field
The present invention relates to the field of monitoring technologies, and in particular, to an intelligent monitoring method, an intelligent monitoring device, a terminal device, and a readable storage medium.
Background
In some special areas, such as areas with open scenes and important monitoring requirements, such as highways, villas, yachts and the like, a solar wireless monitoring camera is installed, and when a human body or a vehicle is sensed to approach, the camera captures key pictures or records video files and then sends the key pictures or the video files to a media device of a host through a wireless network. The equipment which is convenient to install and simple to maintain is more and more popular nowadays. However, the existing monitoring camera can send videos or pictures to a media terminal of a host as long as the existing monitoring camera detects a human body or a vehicle, and the existing monitoring camera does not have an intelligent alarm event screening function, so that alarm events are frequently triggered, the power consumption of equipment is high, and network resources are wasted.
Disclosure of Invention
The technical problem to be solved in the embodiments of the present invention is to provide an intelligent monitoring method, an intelligent monitoring device, a terminal device, and a readable storage medium, which can reduce unnecessary triggering of alarm events when monitoring a target area, thereby reducing device power consumption and saving network resources while ensuring security monitoring.
In order to solve the above technical problem, an embodiment of the present invention provides an intelligent monitoring method, including:
receiving a monitoring signal of the living body sensing module in real time, and starting a camera when a living body is monitored to appear in a target monitoring area;
acquiring a video image of the target monitoring area through the camera, and extracting facial feature data from the video image;
and comparing the facial feature data with pre-stored event reminding strategies, and generating reminding information corresponding to the judging conditions and sending the reminding information to a manager terminal when any judging condition in the event reminding strategies is met.
Further, the acquiring, by the camera, a video image of a target monitoring area, and extracting facial feature data of a human face from the video image specifically includes:
and acquiring a video image of a target monitoring area through the camera, capturing and storing the evidence storage photo and/or the evidence storage video stream file from the video image according to a preset processing rule, and simultaneously extracting facial feature data from the video image.
Further, the comparing the facial feature data with a pre-stored event reminding policy, and when any judgment condition in the event reminding policy is met, generating reminding information corresponding to the judgment condition and sending the reminding information to a manager terminal specifically includes:
comparing the facial feature data with a pre-stored event reminding strategy;
when a first judgment condition in the event reminding strategy is met, generating first reminding information and sending the first reminding information to the manager terminal; wherein, the first reminding information comprises the certificate storing photo;
when a second judgment condition in the event reminding strategy is met, generating second reminding information and sending the second reminding information to the manager terminal; and the second reminding information comprises the evidence storing video stream file.
Further, the intelligent monitoring method further comprises:
and deleting the certificate storing photo and/or the certificate storing video stream file corresponding to the face and face feature data when all judgment conditions in the event reminding strategy are judged to be not met according to the face and face feature data.
Further, the intelligent monitoring method further comprises:
and receiving an information searching instruction of the administrator terminal, calling corresponding certificate storing photos and/or certificate storing video stream files according to the information searching instruction, and feeding back the corresponding certificate storing photos and/or certificate storing video stream files to the administrator terminal.
Further, the intelligent monitoring method further comprises:
and receiving a strategy modification instruction of the manager terminal, and updating the event reminding strategy according to the strategy modification instruction.
In order to solve the same technical problem, the present invention also provides an intelligent monitoring device, comprising:
the camera starting module is used for receiving monitoring signals of the living body sensing module in real time and starting the camera when a living body is monitored to appear in a target monitoring area;
the feature extraction module is used for acquiring a video image of the target monitoring area through the camera and extracting facial feature data from the video image;
and the event reminding module is used for comparing the facial feature data with pre-stored event reminding strategies, generating reminding information corresponding to the judging conditions when any judging condition in the event reminding strategies is met, and sending the reminding information to a manager terminal.
Further, the feature extraction module is specifically configured to: and acquiring a video image of a target monitoring area through the camera, capturing and storing the evidence storage photo and/or the evidence storage video stream file from the video image according to a preset processing rule, and simultaneously extracting facial feature data from the video image.
In order to solve the same technical problem, the present invention further provides an intelligent monitoring terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the computer program, any one of the intelligent monitoring methods is implemented.
In order to solve the same technical problem, the present invention further provides a computer-readable storage medium, where a computer program is stored, where when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute any one of the intelligent monitoring methods.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides an intelligent monitoring method, an intelligent monitoring device, terminal equipment and a readable storage medium, wherein the method comprises the following steps: receiving a monitoring signal of the living body sensing module in real time, and starting a camera when a living body is monitored to appear in a target monitoring area; acquiring a video image of the target monitoring area through the camera, and extracting facial feature data from the video image; and comparing the facial feature data with pre-stored event reminding strategies, and generating reminding information corresponding to the judging conditions and sending the reminding information to a manager terminal when any judging condition in the event reminding strategies is met. The invention can reduce the triggering of unnecessary alarm events when monitoring the target area, thereby reducing the power consumption of equipment and saving network resources while ensuring the safety monitoring.
Drawings
Fig. 1 is a schematic flow chart of an intelligent monitoring method according to an embodiment of the present invention;
FIG. 2 is a diagram of a monitoring device hardware design framework provided by an embodiment of the invention;
FIG. 3 is a schematic diagram illustrating a topology of a monitoring system according to an embodiment of the invention;
FIG. 4 is a flow diagram of an event processing logical framework according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an intelligent monitoring device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides an intelligent monitoring method, including:
and S1, receiving the monitoring signal of the living body sensing module in real time, and starting the camera when the living body is monitored to appear in the target monitoring area.
In the embodiment of the invention, the monitoring system starts the camera when monitoring that the living body appears in the target monitoring area, and the system is in a standby state when the living body is not detected, so that the power consumption of the system is effectively reduced, and the energy is saved.
And S2, acquiring a video picture of the target monitoring area through the camera, and extracting facial feature data from the video picture.
Further, step S2 specifically includes:
and acquiring a video image of a target monitoring area through the camera, capturing and storing the evidence storage photo and/or the evidence storage video stream file from the video image according to a preset processing rule, and simultaneously extracting facial feature data from the video image.
In the embodiment of the invention, when the monitoring system detects that the living body approaches, the camera is started to acquire the video picture of the target monitoring area, and a representative image or video is captured for evidence storage. The rule of image capturing may be selective capturing according to the definition of the video frame, such as obtaining an image at a time when the definition of the video frame is higher. The video capturing rule may be a rule for capturing the appearance proportion of a face in a video picture, for example, capturing a segment of the video picture in which the face can be clearly displayed within a certain period of time. In addition, the face feature data can be extracted according to the video image, or extracted from the intercepted representative image, and the extracted face feature data can be used for judging whether an alarm reminding event is triggered or not and in what manner to remind.
And S3, comparing the facial feature data with pre-stored event reminding strategies, and generating reminding information corresponding to the judgment conditions and sending the reminding information to a manager terminal when any judgment condition in the event reminding strategies is met.
Further, step S3 specifically includes:
comparing the facial feature data with a pre-stored event reminding strategy;
when a first judgment condition in the event reminding strategy is met, generating first reminding information and sending the first reminding information to the manager terminal; wherein, the first reminding information comprises the certificate storing photo;
when a second judgment condition in the event reminding strategy is met, generating second reminding information and sending the second reminding information to the manager terminal; and the second reminding information comprises the evidence storing video stream file.
In the embodiment of the invention, event reminding strategies are stored in the monitoring system in advance, for example, the human faces are classified and managed, and can be classified into acquaintances, strangers and the like, and different monitoring reminding events are triggered for different human face information types. For example, if the system is an acquaintance, the system sends a reminding message in a WeChat mode (or a short message and the like), wherein the reminding message comprises a photo intercepted by a camera (only a person name can be included without sending the photo, in addition, the system simultaneously stores a video file, and a manager can select whether to check the video); if the judgment result is that the person is a stranger, an alarm is automatically triggered, for example, alarm reminding is carried out through security software, and meanwhile, the first video file is sent to a manager terminal for checking.
In other embodiments, the manager can update the face feature library and modify the attribute of the face label, so that the monitoring system can change the newly classified acquaintances from a strong alarm mode to a weak reminding mode in time, thereby effectively increasing the flexibility of the system, reducing the power consumption of the equipment and saving network resources.
Further, the intelligent monitoring method further comprises:
and S4, deleting the certificate storage photo and/or the certificate storage video stream file corresponding to the face feature data when judging that all the judgment conditions in the event reminding strategy are not met according to the face feature data.
In the embodiment of the invention, it can be understood that when the acquaintance is detected according to the human face characteristics, no reminding function needs to be sent, and at this time, in order to ensure that the storage space of the equipment is sufficient, the evidence storage photo or the evidence storage video of the acquaintance can be cleaned.
Further, the intelligent monitoring method further comprises:
and S5, receiving an information reference instruction of the administrator terminal, calling corresponding certificate storing photos and/or certificate storing video stream files according to the information reference instruction, and feeding back the corresponding certificate storing photos and/or certificate storing video stream files to the administrator terminal.
In the embodiment of the present invention, it should be noted that, no matter whether there is triggering alarm information or reminding information, the host can call and check the pictures and videos stored in the monitoring system at any time according to the need.
Further, the intelligent monitoring method further comprises:
and S6, receiving a strategy modification instruction of the manager terminal, and updating the event reminding strategy according to the strategy modification instruction.
In the embodiment of the present invention, it should be noted that a manager may modify an event reminding policy of a monitoring system as needed, and in some embodiments, the manager may manage a face feature library in groups, for example, some groups are family members, and do not trigger any event, some members need to monitor intensively, or members in certain age feature groups monitor intensively, and alarm in time.
Referring to fig. 2 to 4, in order to better illustrate the technical solution, the following specific examples are given:
it should be noted that, as a feasible design, the terminal machine applied in the method of the present invention may implement product design on the Amlogic C308X platform, and the camera may be powered by solar energy and communicate with the background management system through the 4G module.
In one embodiment, the monitoring system comprises a living body sensing function, and the monitoring system automatically wakes up the machine; the camera captures an effective picture of a living body, the neural network processor is called, the time is quickly identified, and an event code is output; according to a preset warning information transmission mode, processing an event: 1. entering dormancy without processing; 2. short message alarm, 3, directly transmitting video information alarm, 4, triggering field alarm, etc.
The user can carry out event management and receive the warning message through cell-phone APP, specifically include: updating a face feature library; carrying out authority configuration on personnel in the feature library; receiving event short messages and videos; viewing real-time video resources; calling the site to realize voice and video interaction; managing the content of the storage file; and managing event information transmission modes (short messages, video alarm and on-site direct alarm).
Compared with the prior art, the invention has the following beneficial effects:
1. the alarm event is greatly reduced, and compared with similar products, the false alarm probability is greatly reduced.
2. The power consumption is greatly reduced because not all events need the 4G module to transmit the video stream, and the transmission of the video stream occupies a large amount of working time and power consumption.
3. Network traffic is saved, and storage space is saved because the video file is sent only when a specific alarm event is triggered.
It should be noted that the above method or flow embodiment is described as a series of acts or combinations for simplicity, but those skilled in the art should understand that the present invention is not limited by the described acts or sequences, as some steps may be performed in other sequences or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are exemplary embodiments and that no single embodiment is necessarily required by the inventive embodiments.
Referring to fig. 5, in order to solve the same technical problem, the present invention further provides an intelligent monitoring apparatus, including:
the camera starting module is used for receiving monitoring signals of the living body sensing module in real time and starting the camera when a living body is monitored to appear in a target monitoring area;
the feature extraction module is used for acquiring a video image of the target monitoring area through the camera and extracting facial feature data from the video image;
and the event reminding module is used for comparing the facial feature data with pre-stored event reminding strategies, generating reminding information corresponding to the judging conditions when any judging condition in the event reminding strategies is met, and sending the reminding information to a manager terminal.
Further, the feature extraction module is specifically configured to: and acquiring a video image of a target monitoring area through the camera, capturing and storing the evidence storage photo and/or the evidence storage video stream file from the video image according to a preset processing rule, and simultaneously extracting facial feature data from the video image.
Further, the event reminding module is specifically configured to:
comparing the facial feature data with a pre-stored event reminding strategy;
when a first judgment condition in the event reminding strategy is met, generating first reminding information and sending the first reminding information to the manager terminal; wherein, the first reminding information comprises the certificate storing photo;
when a second judgment condition in the event reminding strategy is met, generating second reminding information and sending the second reminding information to the manager terminal; and the second reminding information comprises the evidence storing video stream file.
Furthermore, the intelligent monitoring device further comprises a cache clearing module, and the cache clearing module is used for deleting the certificate storage photo and/or the certificate storage video stream file corresponding to the face feature data when all the judgment conditions in the event reminding strategy are judged to be not met according to the face feature data.
Furthermore, the intelligent monitoring device further comprises an information look-up module for receiving an information look-up instruction of the administrator terminal, calling corresponding evidence storage photos and/or evidence storage video stream files according to the information look-up instruction and feeding back the evidence storage photos and/or the evidence storage video stream files to the administrator terminal.
Furthermore, the intelligent monitoring device further comprises a policy updating module, which is used for receiving a policy modification instruction of the administrator terminal and updating the event reminding policy according to the policy modification instruction.
It can be understood that the foregoing device item embodiments correspond to the method item embodiments of the present invention, and the intelligent monitoring device provided in the embodiments of the present invention can implement the intelligent monitoring method provided in any method item embodiment of the present invention.
In order to solve the same technical problem, the present invention further provides an intelligent monitoring terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the computer program, any one of the intelligent monitoring methods is implemented.
The intelligent monitoring terminal device can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The general processor can be a microprocessor or the processor can be any conventional processor, and the processor is a control center of the intelligent monitoring terminal device and is connected with various parts of the whole intelligent monitoring terminal device by various interfaces and lines.
The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
In order to solve the same technical problem, the present invention further provides a computer-readable storage medium, where a computer program is stored, where when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute any one of the intelligent monitoring methods.
The computer program may be stored in a computer readable storage medium, which when executed by a processor, may implement the steps of the various method embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. An intelligent monitoring method, comprising:
receiving a monitoring signal of the living body sensing module in real time, and starting a camera when a living body is monitored to appear in a target monitoring area;
acquiring a video image of the target monitoring area through the camera, and extracting facial feature data from the video image;
and comparing the facial feature data with pre-stored event reminding strategies, and generating reminding information corresponding to the judging conditions and sending the reminding information to a manager terminal when any judging condition in the event reminding strategies is met.
2. The intelligent monitoring method according to claim 1, wherein the acquiring a video image of a target monitoring area by the camera and extracting facial feature data from the video image specifically comprises:
and acquiring a video image of a target monitoring area through the camera, capturing and storing the evidence storage photo and/or the evidence storage video stream file from the video image according to a preset processing rule, and simultaneously extracting facial feature data from the video image.
3. The intelligent monitoring method according to claim 2, wherein the comparing the facial feature data with the pre-stored event reminding policy, and when any discrimination condition in the event reminding policy is satisfied, generating the reminding information corresponding to the discrimination condition and sending the reminding information to the manager terminal specifically includes:
comparing the facial feature data with a pre-stored event reminding strategy;
when a first judgment condition in the event reminding strategy is met, generating first reminding information and sending the first reminding information to the manager terminal; wherein, the first reminding information comprises the certificate storing photo;
when a second judgment condition in the event reminding strategy is met, generating second reminding information and sending the second reminding information to the manager terminal; and the second reminding information comprises the evidence storing video stream file.
4. The intelligent monitoring method of claim 2, further comprising:
and deleting the certificate storing photo and/or the certificate storing video stream file corresponding to the face and face feature data when all judgment conditions in the event reminding strategy are judged to be not met according to the face and face feature data.
5. The intelligent monitoring method according to any one of claims 2 to 4, further comprising:
and receiving an information searching instruction of the administrator terminal, calling corresponding certificate storing photos and/or certificate storing video stream files according to the information searching instruction, and feeding back the corresponding certificate storing photos and/or certificate storing video stream files to the administrator terminal.
6. The intelligent monitoring method of claim 5, further comprising:
and receiving a strategy modification instruction of the manager terminal, and updating the event reminding strategy according to the strategy modification instruction.
7. An intelligent monitoring device, comprising:
the camera starting module is used for receiving monitoring signals of the living body sensing module in real time and starting the camera when a living body is monitored to appear in a target monitoring area;
the feature extraction module is used for acquiring a video image of the target monitoring area through the camera and extracting facial feature data from the video image;
and the event reminding module is used for comparing the facial feature data with pre-stored event reminding strategies, generating reminding information corresponding to the judging conditions when any judging condition in the event reminding strategies is met, and sending the reminding information to a manager terminal.
8. The intelligent monitoring device according to claim 7, wherein the feature extraction module is specifically configured to: and acquiring a video image of a target monitoring area through the camera, capturing and storing the evidence storage photo and/or the evidence storage video stream file from the video image according to a preset processing rule, and simultaneously extracting facial feature data from the video image.
9. An intelligent monitoring terminal device, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and the processor executes the computer program to implement the intelligent monitoring method according to any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, wherein when the computer program runs, the computer-readable storage medium controls a device in which the computer-readable storage medium is located to execute the intelligent monitoring method according to any one of claims 1 to 6.
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| CN113971782A (en) * | 2021-12-21 | 2022-01-25 | 云丁网络技术(北京)有限公司 | Comprehensive monitoring information management method and system |
| CN113971782B (en) * | 2021-12-21 | 2022-04-19 | 云丁网络技术(北京)有限公司 | Comprehensive monitoring information management method and system |
| CN114373047A (en) * | 2021-12-29 | 2022-04-19 | 达闼机器人有限公司 | Method, device and storage medium for monitoring physical world based on digital twin |
| CN115935003A (en) * | 2022-11-22 | 2023-04-07 | 国网山东省电力公司 | Information collection method and system based on big data |
| CN115935003B (en) * | 2022-11-22 | 2023-09-19 | 国网山东省电力公司 | Information collection method and system based on big data |
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Application publication date: 20200901 |