CN111127824A - Early warning method, device and system - Google Patents
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Abstract
The invention discloses an early warning method, a device and a system, wherein the method comprises the following steps: receiving a video image in a block chain network, wherein the video image is a cell environment video acquired and reported by video acquisition equipment; analyzing the video image to generate abnormal early warning information; and sending the abnormal early warning information to the block chain network according to the intelligent contract. The method comprises the steps of obtaining environment videos of all corners in a cell by receiving video images reported by all video acquisition devices in a block chain network, analyzing the video images to generate abnormal early warning information, sending the abnormal early warning information to the block chain network according to an intelligent contract, timely troubleshooting abnormal events and abnormal characters, timely triggering a corresponding supervision mechanism through the intelligent contract, sending the abnormal early warning information to the block chain network, enabling property management personnel to timely track and process the abnormal events, ensuring the safety of the cell, and improving the safety of owners.
Description
Technical Field
The invention relates to the technical field of cell security, in particular to an early warning method, device and system.
Background
In recent years, cell accidents frequently occur, and people pay more attention to the safety problem of cells. At present, the safety of a cell is usually ensured through entrance guard, and when an outsider wants to enter the cell, the visitor is usually registered and released through cell security. However, when the property management personnel manage the residential quarter, the property management personnel sometimes cannot find and troubleshoot potential safety hazards in time, so that accidents can be caused, for example, strangers can enter the residential quarter when security personnel do not pay attention to the security personnel, the elevator is not monitored, and the like, so that the residential quarter owner has no sense of safety. Especially, when the years pass, the theft behaviors are increased, and the probability of robbery in the following room is increased. Moreover, when emergencies such as flood and fire occur in the residential area, the property personnel sometimes cannot take emergency measures to deal with the emergencies, which leads to the situation that the safety of the residential area cannot be guaranteed and the safety of the owner is reduced.
Disclosure of Invention
Therefore, the invention provides an early warning method, device and system, and aims to solve the problem that in the prior art, as property management personnel cannot find and troubleshoot potential safety hazards in time, the safety of a cell cannot be guaranteed, and the safety of an owner is reduced.
In order to achieve the above object, a first aspect of the present invention provides an early warning method applied to an intelligent analysis node, the method including: receiving a video image in a block chain network, wherein the video image is a cell environment video acquired and reported by video acquisition equipment; analyzing the video image to generate abnormal early warning information; and sending the abnormal early warning information to the block chain network according to the intelligent contract.
The method comprises the following steps of analyzing a video image and generating abnormal early warning information, wherein the steps comprise: if the video image is determined to have the disaster abnormal image, generating disaster abnormal early warning information, wherein the disaster abnormal image comprises a fire abnormal image or a flood abnormal image; if the person abnormal image exists in the video image, generating a person abnormal early warning message; and if the property management abnormal image exists in the video image, generating property abnormal early warning information.
If the abnormal figure image exists in the video image, generating abnormal figure early warning information, wherein the abnormal figure early warning information generating step comprises the following steps: the person abnormity early warning information comprises emergency treatment abnormity early warning information or doubtful criminals abnormity early warning information; if the video images are determined to have the images of the patient needing emergency treatment, generating emergency treatment abnormity early warning information; and according to the data of the public security system, if the person appearing in the video image is determined to be a suspicious person, generating suspicious abnormal early warning information.
According to the data of the public security system, if the person appearing in the video image is determined to be a suspicious person, generating suspicious abnormal early warning information, wherein the suspicious abnormal early warning information generating method comprises the following steps: acquiring biological characteristics of a person appearing in a video image, wherein the biological characteristics comprise facial characteristics and body characteristics; acquiring a biological characteristic of a suspect in a public security system; comparing the biological characteristics of the person with the biological characteristics of the suspect to obtain a comparison result; and if the comparison results are the same, determining that the person appearing in the video image is a suspicious person, and generating suspicious abnormal early warning information.
If the fact that the property management abnormal image exists in the video image is determined, the property abnormal early warning information is generated, and the method comprises the following steps: comparing the biological characteristics of the people appearing in the video image with the biological characteristics of the community residents to determine whether the people appearing in the video image are the community residents or not, wherein the biological characteristics comprise facial characteristics and body characteristics; and if the person is determined not to be the resident of the community, generating property abnormity early warning information, wherein the property abnormity early warning information comprises the biological characteristics of the person appearing in the video image.
Wherein, according to intelligent contract, send unusual early warning information to the step in the block chain network, include: if the abnormal early warning information is determined to be disaster abnormal early warning information, the disaster abnormal early warning information is sent to a disaster block chain network according to a disaster intelligent contract, and the disaster block chain network comprises a fire-fighting rescue node, a traffic support node and an emergency center node; if the abnormal early warning information is determined to be property abnormal early warning information, property abnormal early warning information is sent to a property block chain network according to a property intelligent contract, and the property block chain network comprises property management nodes; if the abnormal early warning information is determined to be emergency abnormal early warning information, the emergency abnormal early warning information is sent to an emergency block chain network according to an emergency intelligent contract, and the emergency block chain network comprises an emergency center node and a traffic support node; and if the abnormal early warning information is confirmed to be abnormal early warning information of the suspect, sending the abnormal early warning information of the suspect to a public security block chain network according to an intelligent contract of the suspect, wherein the public security block chain network comprises a public security management node, an armed police support node or a traffic support node.
Before the step of receiving the video images reported by each video acquisition device in the blockchain network, the method further comprises the following steps: receiving a registration request of each video acquisition device in a block chain network; and sending a registration response to each video acquisition device.
After the step of generating the abnormal early warning information of the suspect, the method further comprises the following steps: and controlling the video acquisition equipment to track and monitor suspicious people according to the abnormal early warning information of the suspicious person.
In order to achieve the above object, a second aspect of the present invention provides an early warning device, including: the acquisition module is used for receiving a video image in the block chain network, wherein the video image is a cell environment video acquired and reported by video acquisition equipment; the analysis module is used for analyzing the video image and generating abnormity early warning information; and the sending module is used for sending the abnormal early warning information to the block chain network.
In order to achieve the above object, a third aspect of the present invention provides an early warning system, including: the system comprises a block chain main node, an intelligent analysis node and video acquisition equipment; the block chain main node is used for receiving an intelligent analysis node registration request so as to register the intelligent analysis node in the block chain network; the video acquisition equipment is used for acquiring video images and reporting the video images to the intelligent analysis node, wherein the video images comprise cell environment videos; the intelligent analysis node is used for executing the early warning method described in the first aspect; the intelligent analysis node further comprises a property management node, a disaster processing node, an emergency center node and an alarm center node.
The invention has the following advantages: the method comprises the steps of obtaining environment videos of all corners in a cell by receiving video images reported by all video acquisition devices in a block chain network, analyzing the video images to generate abnormal early warning information, sending the abnormal early warning information to the block chain network according to an intelligent contract, timely troubleshooting abnormal events and abnormal characters, timely triggering a corresponding supervision mechanism through the intelligent contract, sending the abnormal early warning information to the block chain network, enabling property management personnel to timely track and process the abnormal events, ensuring the safety of the cell, and improving the safety of owners.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flowchart of an early warning method according to a first embodiment of the present invention;
fig. 2 is a flowchart of an early warning method according to a second embodiment of the present invention;
fig. 3 is a block diagram of an early warning device according to a third embodiment of the present invention;
fig. 4 is a block diagram of an early warning system according to a fourth embodiment of the present invention;
fig. 5 is a block diagram of an intelligent analysis node according to a fourth embodiment of the present invention.
In the drawings:
301: the obtaining module 302: analysis module
303: the sending module 401: block chain master node
402: intelligent analysis node 403: video acquisition equipment
501: the property management node 502: disaster processing node
503: emergency center node 504: alarm center node
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
A first embodiment of the present invention relates to an early warning method. The method is used for timely discovering and troubleshooting potential safety hazards in the community so as to ensure the environmental safety of the community and the personal safety of community owners.
The implementation details of the early warning method in the present embodiment are specifically described below, and the following is only for facilitating understanding of the implementation details of the present solution, and is not necessary for implementing the present solution.
Fig. 1 is a flowchart of an early warning method in this embodiment, which can be used for an intelligent analysis node. The method may include the following steps.
In step 101, a video image in a blockchain network is received.
The video image is a cell environment video acquired and reported by the video acquisition equipment.
It should be noted that the cell environment video may be recorded videos of various events occurring in the cell, and specifically includes moving video images of various people, animals, or devices entering the cell monitoring range. For example, an activity scene of a person entering the cell, captured by a video capturing apparatus installed at a doorway of the cell, a moving image of a vehicle or an apparatus entering the cell, and the like. The cell environment video may be collected according to actual needs, and is not limited to the above illustration, and other non-illustrated video images are also within the protection scope of the present invention, and are not described herein again.
In step 102, the video image is analyzed to generate abnormal early warning information.
In one specific implementation, if it is determined that a disaster abnormal image exists in the video image, disaster abnormal early warning information is generated, wherein the disaster abnormal image comprises a fire abnormal image or a flood abnormal image; if the person abnormal image exists in the video image, generating a person abnormal early warning message; and if the property management abnormal image exists in the video image, generating property abnormal early warning information.
For example, when a certain building in a community has a large amount of dense smoke in a video image, a plurality of video acquisition devices can be controlled to acquire the video images of all angles of the building in time, the acquired video images of multiple angles are analyzed, the possibility of fire disaster occurring in the building can be known, and when the occurrence probability is greater than a preset threshold value, disaster abnormity early warning information can be generated so as to enable property managers to contact a fire protection system in time for processing. When small animals with waves, such as wave dogs, in the video images can hurt children in the community, property abnormity early warning information can be generated, so that physical managers can timely pull the wave dogs to a containing place, and the safety of owners is guaranteed.
In one specific implementation, the biological characteristics of the people appearing in the video image are compared with the biological characteristics of the community residents, and whether the people appearing in the video image are the community residents or not is determined, wherein the biological characteristics comprise facial characteristics and body characteristics; and if the person is determined not to be the resident of the community, generating property abnormity early warning information, wherein the property abnormity early warning information comprises the biological characteristics of the person appearing in the video image.
It should be noted that, the intelligent analysis node may collect the biological features of the residential community in advance, and specifically may include facial features and body features of the residential community, and the biological features of the residential community are stored in the intelligent analysis node, and when a different person appears in the collected video image, the facial features of the person may be automatically scanned, and the body features of the person may be recorded, and meanwhile, the facial features and the body features of the person may be compared with the biological features of the residential community to determine the identity of the person. When the biological characteristics of the person are not consistent with those of the residents in the residential area, property abnormity early warning information is generated to prompt property management personnel to pay attention to the fact that outsiders enter the residential area.
In one particular implementation, the person anomaly early warning information comprises emergency aid anomaly early warning information or suspect anomaly early warning information; if the video images are determined to have the images of the patient needing emergency treatment, generating emergency treatment abnormity early warning information; and according to the data of the public security system, if the person appearing in the video image is determined to be a suspicious person, generating suspicious abnormal early warning information.
For example, when it can be known through video images that there is a sudden onset of a disease in a resident of a cell, there is a danger, and an emergency is required, emergency abnormality warning information is generated.
In one specific implementation, biological characteristics of a person appearing in a video image are acquired, wherein the biological characteristics comprise facial characteristics and body characteristics; acquiring a biological characteristic of a suspect in a public security system; comparing the biological characteristics of the person with the biological characteristics of the suspect to obtain a comparison result; and if the comparison results are the same, determining that the person appearing in the video image is a suspicious person, and generating suspicious abnormal early warning information.
It should be noted that after the step of generating the suspected person abnormal early warning information, the video acquisition device is controlled to track and monitor the suspected person according to the suspected person abnormal early warning information. The physical characteristics include the height, wearing, and special actions during exercise of the person.
In step 103, according to the intelligent contract, sending the abnormal early warning information to the blockchain network.
In one specific implementation, if the abnormal early warning information is determined to be disaster abnormal early warning information, the disaster abnormal early warning information is sent to a disaster block chain network according to a disaster intelligent contract, wherein the disaster block chain network comprises a fire rescue node, a traffic support node and an emergency center node; if the abnormal early warning information is determined to be property abnormal early warning information, property abnormal early warning information is sent to a property block chain network according to a property intelligent contract, and the property block chain network comprises property management nodes; if the abnormal early warning information is determined to be emergency abnormal early warning information, the emergency abnormal early warning information is sent to an emergency block chain network according to an emergency intelligent contract, and the emergency block chain network comprises an emergency center node and a traffic support node; and if the abnormal early warning information is confirmed to be abnormal early warning information of the suspect, sending the abnormal early warning information of the suspect to a public security block chain network according to an intelligent contract of the suspect, wherein the public security block chain network comprises a public security management node, an armed police support node or a traffic support node.
It should be noted that all the nodes such as the fire rescue node, the traffic support node, the emergency center node, the police management node, the armed police support node, and the property management node need to pass the authentication of the master node of the block chain network in advance to receive the corresponding abnormal early warning information. The different types of intelligent contracts are divided according to different abnormal early warning information, specifically, the disaster intelligent contracts may include disaster information content, such as various different disaster information of fire, fire or earthquake, and determine which nodes in the disaster block chain network the disaster abnormal early warning information is to be sent to according to the difference of the disaster information content. The specific contents included in the property intelligent contract, the emergency intelligent contract and the doubtful intelligent contract are determined according to the corresponding abnormal early warning information.
In the embodiment, by receiving the video images reported by each video acquisition device in the block chain network, the environment videos of each corner in the cell can be acquired, the video images are analyzed to generate the abnormal early warning information, and the abnormal early warning information is sent to the block chain network according to the intelligent contract, so that the abnormal events and abnormal characters can be checked in time, a corresponding supervision mechanism is triggered in time through the intelligent contract, the abnormal early warning information is sent to the block chain network, the property management personnel can track and process the abnormal events in time, the safety of the cell is ensured, and the safety of the owner is improved.
A second embodiment of the present invention relates to an early warning method. The second embodiment is substantially the same as the first embodiment, and mainly differs therefrom in that: before receiving the video images in the blockchain network, it is further required to determine that each video acquisition device in the blockchain network is registered to the intelligent analysis node.
Fig. 2 is a flowchart of an early warning method in this embodiment, which can be used for an intelligent analysis node. The method may include the following steps.
In step 201, a registration request is received for each video capture device in a blockchain network.
It should be noted that the registration request can be sent to the blockchain network by the video capture device only after the registration request is signed by the video capture device using the private key, so as to ensure the security of the video image information reported by the video capture device, prevent other devices from receiving the registration information and obtaining the information of the video capture device, wherein the private key can be generated according to the information such as the identifier or the device type of the video capture device.
In step 202, a registration response is sent to each video capture device.
It should be noted that, after receiving a registration request sent by a video capture device, an intelligent analysis node needs to decrypt the registration request with a public key first to ensure that the received registration request is a legal registration request sent by the video capture device, and after completing decryption, after obtaining information such as an identifier of the video capture device or a device type carried in the registration request, according to a processing condition of the intelligent analysis node, the intelligent analysis node determines to send a registration response to the video capture device, where the registration response also needs to be signed with a private key by the intelligent analysis node and then can be sent to the video capture device to ensure the security of a registration response message.
In step 203, a video image in a blockchain network is received.
In step 204, the video image is analyzed to generate abnormal early warning information.
In step 205, according to the intelligent contract, the anomaly warning information is sent to the blockchain network.
It should be noted that steps 203 to 205 in this embodiment are the same as steps 101 to 103 in the first embodiment, and are not repeated herein.
In the embodiment, the video acquisition devices can be registered on each intelligent analysis node by receiving the registration requests of each video acquisition device in the block chain network and sending registration responses to each video acquisition device, so that the intelligent analysis node can receive the video images reported by each video acquisition device in the block chain network and acquire the environmental videos of each corner in the cell, the intelligent analysis node analyzes the video images to generate abnormal early warning information and sends the abnormal early warning information to the block chain network according to an intelligent contract, so that abnormal events and abnormal persons can be checked in time, a corresponding supervision mechanism is triggered in time by the intelligent contract to send the abnormal early warning information to the block chain network, so that property managers can track the abnormal events in time and the safety of the cell is ensured, meanwhile, the safety of the owner is improved.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
The third embodiment of the present invention relates to an early warning device, and the specific implementation of the early warning device can be referred to the related description of the first embodiment, and repeated descriptions are omitted. It should be noted that, the specific implementation of the apparatus in this embodiment may also refer to the related description of the second embodiment, but is not limited to the above two examples, and other unexplained examples are also within the protection scope of the apparatus.
As shown in fig. 3, the apparatus mainly includes: the acquiring module 301 is configured to receive a video image in a block chain network, where the video image is a cell environment video acquired and reported by a video acquisition device; the analysis module 302 is configured to analyze the video image and generate abnormal early warning information; the sending module 303 is configured to send the abnormal early warning information to the blockchain network.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
A fourth embodiment of the present invention relates to an early warning system, as shown in fig. 4, the system specifically includes: a block chain main node 401, an intelligent analysis node 402 and a video acquisition device 403; the blockchain master node 401 is configured to receive a registration request of the intelligent analysis node 402, so that the intelligent analysis node 402 registers in the blockchain network; the video acquisition device 403 is configured to acquire a video image, and report the video image to the intelligent analysis node 402, where the video image includes a cell environment video; the intelligent analysis node 402 is configured to perform the early warning method as described in the first aspect; as shown in fig. 5, the intelligent analysis node 402 further includes a property management node 501, a disaster processing node 502, an emergency center node 503, and an alarm center node 504.
In a specific implementation, video capture devices 403 are deployed at key locations of a cell (e.g., a doorway, a corner, a corridor, or the like), videos of a cell environment are captured in real time by the video capture devices 403, and the video images are transmitted back to an intelligent analysis node 402 in real time, the intelligent analysis node 402 analyzes the video images in real time, determines whether unsafe people or things exist in the video images, and if so, the video images are signed by a private key of the intelligent analysis node in a broadcast message sending manner and then sent to a blockchain network.
Each video acquisition device 403 is provided with a pair of keys, including a public key and a private key, where the private key is stored by itself, the public key is published over the entire network, and the video acquisition device 403 generates a block chain network address through the public key by using a user account identifier, so that the intelligent analysis node 402 verifies the video acquisition device 403.
The method includes the steps that an intelligent analysis node 402 is arranged on a block chain network and used for receiving broadcast information sent by each video acquisition device 403 in real time, the intelligent analysis node 402 inquires a block chain account book according to a block chain identifier of the video acquisition device 403 to find a block chain public key corresponding to the video acquisition device 403, a private key signature carried in the broadcast information of the video acquisition device 403 is verified, and if the verification is passed, the intelligent analysis node 402 can analyze videos of the video acquisition device 403.
The method for analyzing the acquired video image by the intelligent analysis node 402 specifically includes: judging the video pictures through an artificial intelligence learning algorithm, and if determining that disaster abnormal images exist in the video images, generating disaster abnormal early warning information, wherein the disaster abnormal images comprise fire abnormal images or flood abnormal images; according to the disaster intelligent contract, disaster abnormity early warning information is sent to a disaster block chain network, the disaster block chain network comprises fire rescue nodes, traffic support nodes and first-aid center nodes, so that disaster conditions occurring in a community are timely processed, and property loss of residents in the community is avoided. If the video images are determined to have the images of the patient needing emergency treatment, generating emergency treatment abnormity early warning information; according to the emergency intelligent contract, emergency abnormity early warning information is sent to an emergency block chain network, the emergency block chain network comprises an emergency center node and a traffic support node, so that the patient can be rescued by a doctor in time, and the safety of the patient is ensured. If the biological characteristics of the person appearing in the video image are the same as those of the suspect in the public security system, the suspect is judged to exist, and abnormal early warning information of the suspect is generated. According to the intelligent contract of the suspect, the suspect abnormity early warning information is sent to a public security block chain network, the public security block chain network comprises a public security management node, an armed police support node or a traffic support node, the information of the suspect is reported to a public security organization in time, and the video acquisition equipment 403 can be controlled to track and monitor the suspect, so that the public security can catch the suspect in time, and the safety in the cell is ensured. If it is determined that the property management abnormal image exists in the video image (for example, a small animal with a wave in a cell, or a person appearing in the video image is not a resident of the cell), property abnormal early warning information is generated, and the property abnormal early warning information is sent to a property block chain network according to a property intelligent contract, wherein the property block chain network comprises property management nodes, and meanwhile, the real-time monitoring function of the video acquisition equipment 403 can clearly record the property management abnormal image.
The blockchain master node 401 further needs to authenticate an organization, a service center, and the like on the blockchain, for example, an emergency rescue node, a traffic support node, an emergency center node, a public security management node, an armed police support node, a property management node, and the like, and only through the authentication of the blockchain master node 401, the nodes can communicate in the blockchain network, and each node can be used as an accounting node in the blockchain network to verify private key signatures of all broadcast information in the blockchain network, and after the verification is passed, the broadcast information is recorded in a blockchain account book.
In the embodiment, through an early warning system composed of a block chain main node, an intelligent analysis node and video acquisition equipment, the intelligent analysis node receives video images reported by the video acquisition equipment in a block chain network, acquires environmental videos of all corners in a cell, generates abnormal early warning information after analyzing the video images by the intelligent analysis node, and sends the abnormal early warning information to the block chain network according to an intelligent contract, so that abnormal events and abnormal characters can be checked in time, a corresponding supervision mechanism is triggered in time through the intelligent contract, and the abnormal early warning information is sent to the block chain network, so that property managers can track and process the abnormal events in time, the safety of the cell is ensured, and the safety sense of owners is improved.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. An early warning method is applied to an intelligent analysis node, and comprises the following steps:
receiving a video image in a block chain network, wherein the video image is a cell environment video acquired and reported by the video acquisition equipment;
analyzing the video image to generate abnormal early warning information;
and sending the abnormal early warning information to a block chain network according to the intelligent contract.
2. The warning method according to claim 1, wherein the step of analyzing the video image to generate abnormal warning information comprises:
if the video image is determined to have a disaster abnormal image, generating disaster abnormal early warning information, wherein the disaster abnormal image comprises a fire abnormal image or a flood abnormal image;
if the fact that the person abnormal image exists in the video image is determined, person abnormal early warning information is generated;
and if the video image is determined to have the property management abnormal image, generating property abnormal early warning information.
3. The warning method of claim 2, wherein if it is determined that there is an abnormal image in the video image, the step of generating the abnormal warning information includes:
the figure abnormity early warning information comprises emergency treatment abnormity early warning information or doubtful criminals abnormity early warning information;
if the video images are determined to have images which need emergency treatment, generating emergency treatment abnormity early warning information;
and according to the data of the public security system, if the person appearing in the video image is determined to be a suspicious person, generating suspicious abnormal early warning information.
4. The warning method as claimed in claim 3, wherein the step of generating abnormal warning information of suspect if the person appearing in the video image is determined to be suspect person according to the data of the public security system comprises:
acquiring biological characteristics of a person appearing in the video image, wherein the biological characteristics comprise facial characteristics and body characteristics;
obtaining a biometric characteristic of a suspect in the public security system;
comparing the biological characteristics of the person with the biological characteristics of the suspect to obtain a comparison result;
and if the comparison results are the same, determining that the people appearing in the video image are suspicious people, and generating suspicious abnormal early warning information.
5. The warning method according to claim 2, wherein the step of generating property abnormal warning information if it is determined that the property management abnormal image exists in the video image comprises:
comparing the biological characteristics of the people appearing in the video image with the biological characteristics of the residential community to determine whether the people appearing in the video image are the residential community, wherein the biological characteristics comprise facial characteristics and body characteristics;
and if the person is determined not to be the resident of the community, generating property abnormity early warning information, wherein the property abnormity early warning information comprises the biological characteristics of the person appearing in the video image.
6. The warning method according to claim 3, wherein the step of sending the abnormal warning information to a blockchain network according to an intelligent contract comprises:
if the abnormal early warning information is determined to be disaster abnormal early warning information, the disaster abnormal early warning information is sent to a disaster block chain network according to a disaster intelligent contract, and the disaster block chain network comprises a fire rescue node, a traffic support node and an emergency center node;
if the abnormal early warning information is determined to be property abnormal early warning information, sending the property abnormal early warning information to a property block chain network according to a property intelligent contract, wherein the property block chain network comprises a property management node;
if the abnormal early warning information is determined to be emergency abnormal early warning information, the emergency abnormal early warning information is sent to an emergency block chain network according to an emergency intelligent contract, and the emergency block chain network comprises an emergency center node and a traffic support node;
and if the abnormal early warning information is confirmed to be abnormal early warning information of the suspect, sending the abnormal early warning information of the suspect to a public security block chain network according to an intelligent contract of the suspect, wherein the public security block chain network comprises a public security management node, an armed police support node or a traffic support node.
7. The warning method according to any one of claims 1 to 6, wherein before the step of receiving the video images reported by each video capture device in the blockchain network, the warning method further comprises:
receiving a registration request of each video acquisition device in the block chain network;
and sending a registration response to each video acquisition device.
8. The warning method as claimed in claim 3 or 4, further comprising, after the step of generating the suspect anomaly warning information:
and controlling the video acquisition equipment to track and monitor the suspicious people according to the abnormal early warning information of the suspect.
9. An early warning device, comprising:
the acquisition module is used for receiving a video image in a block chain network, wherein the video image is a cell environment video acquired and reported by the video acquisition equipment;
the analysis module is used for analyzing the video image and generating abnormal early warning information;
and the sending module is used for sending the abnormal early warning information to the block chain network.
10. An early warning system, comprising: the system comprises a block chain main node, an intelligent analysis node and video acquisition equipment;
the block chain main node is used for receiving a registration request of an intelligent analysis node so as to enable the intelligent analysis node to register in a block chain network;
the video acquisition equipment is used for acquiring video images and reporting the video images to the intelligent analysis node, wherein the video images comprise cell environment videos;
the intelligent analysis node is used for executing the early warning method according to any one of claims 1 to 8;
the intelligent analysis node further comprises a property management node, a disaster processing node, an emergency center node and an alarm center node.
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