CN110544362A - Construction site anomaly identification method and device based on block chain - Google Patents
Construction site anomaly identification method and device based on block chain Download PDFInfo
- Publication number
- CN110544362A CN110544362A CN201910831124.7A CN201910831124A CN110544362A CN 110544362 A CN110544362 A CN 110544362A CN 201910831124 A CN201910831124 A CN 201910831124A CN 110544362 A CN110544362 A CN 110544362A
- Authority
- CN
- China
- Prior art keywords
- information
- alarm
- block chain
- abnormal
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000002159 abnormal effect Effects 0.000 claims abstract description 172
- 238000012545 processing Methods 0.000 claims abstract description 43
- 238000003672 processing method Methods 0.000 claims abstract description 8
- 230000005856 abnormality Effects 0.000 claims description 37
- 230000002349 favourable effect Effects 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 25
- 238000012795 verification Methods 0.000 description 7
- 238000011835 investigation Methods 0.000 description 6
- HSFWRNGVRCDJHI-UHFFFAOYSA-N alpha-acetylene Natural products C#C HSFWRNGVRCDJHI-UHFFFAOYSA-N 0.000 description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 4
- 125000002534 ethynyl group Chemical group [H]C#C* 0.000 description 4
- 229910052760 oxygen Inorganic materials 0.000 description 4
- 239000001301 oxygen Substances 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013024 troubleshooting Methods 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
-
- 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
- G08B21/02—Alarms for ensuring the safety of persons
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Theoretical Computer Science (AREA)
- Alarm Systems (AREA)
Abstract
the application discloses a construction site abnormity identification method and device based on a block chain, and a construction site abnormity processing method and device based on the block chain. The construction site abnormity identification method based on the block chain comprises the following steps: acquiring video information; judging whether the video information meets a preset abnormal condition or not; if yes, obtaining abnormal information according to the video information; and broadcasting an alarm message carrying alarm content information in the block chain, wherein the alarm content information comprises the abnormal information, so that a second device in the block chain receiving the alarm message acquires the alarm content information therein and processes according to the alarm content information. The method and the system can check the abnormal phenomenon of the construction site in time, and are favorable for alarming in time, processing the abnormal phenomenon, investigating the insurance responsibility after the abnormal phenomenon and the like.
Description
Technical Field
The application belongs to the field of block chains, and particularly relates to a construction site abnormity identification method and device based on the block chains, and a construction site abnormity processing method and device based on the block chains.
background
The existing abnormal phenomena in the construction site include: insufficient safety distance between the oxygen cylinder and the acetylene cylinder, fire monitoring, robbery occurrence and the like. At present, aiming at various unsafe factors, checking and early warning are often carried out in a manual checking mode, and a block chain-based early warning method is not available. The manual investigation mode is not suitable for timely checking, alarming for dangerous situations, first aid after casualty loss, and later insurance claim and judicial investigation.
disclosure of Invention
The application aims at the problems that the abnormal phenomenon of a construction site is often checked and early warned in a manual troubleshooting mode, the manual troubleshooting mode cannot be used for checking in time, cannot give an alarm in time for dangerous situations, and is not beneficial to later insurance responsibility investigation, and provides a construction site abnormal recognition method and device based on a block chain and a construction site abnormal processing method and device based on the block chain.
As a first aspect of the present application, there is provided a method for identifying an abnormality in a construction site based on a block chain, including:
Acquiring video information;
judging whether the video information meets a preset abnormal condition or not;
If yes, obtaining abnormal information according to the video information;
And broadcasting an alarm message carrying alarm content information in the block chain, wherein the alarm content information comprises the abnormal information, so that a second device in the block chain receiving the alarm message acquires the alarm content information therein and processes according to the alarm content information.
Preferably, wherein the acquiring video information includes: and receiving video information broadcast by the image acquisition device, or acquiring the video information.
Preferably, the warning content information further includes warning person information, the abnormal information includes an abnormal image, and after the abnormal information is obtained according to the video information and before the warning message carrying the abnormal information is broadcast in the block chain, the method further includes:
And determining the information of the alarm person according to the abnormal image.
preferably, the exception information includes an exception type and an exception image, so that the second device in the block chain receiving the alarm message acquires the exception type and the exception image therein, and processes according to the exception image when determining that the exception type belongs to its jurisdiction range.
As a second aspect of the present application, there is provided a method for processing an exception at a construction site based on a block chain, including:
receiving an alarm message broadcasted by a first device in a block chain, wherein the alarm message is sent by the first device after judging that the obtained video information meets a preset abnormal condition;
Acquiring alarm content information carried in the alarm message, wherein the alarm content information comprises abnormal information, and the abnormal information is acquired by the first device from the acquired video information;
and processing according to the alarm content information.
preferably, the exception information includes an exception type and an exception image, and the processing according to the alarm content information includes:
And judging whether the abnormal type belongs to the jurisdiction range of the abnormal type, and if so, processing according to the abnormal image.
Preferably, the abnormal information includes an abnormal image, the alarm content information further includes alarm person information, and the alarm person information is determined by the first device according to the abnormal image;
the processing according to the alarm content information includes:
Judging whether the information of the alarm person is consistent with the locally stored information or not, and if so, sending an alarm; alternatively, the first and second electrodes may be,
and the alarm person information comprises a mobile phone number, whether the alarm person information belongs to the operator is judged, and if the alarm person information belongs to the operator, alarm information is sent to terminal equipment corresponding to the alarm person information according to the abnormal image so that the terminal equipment sends an alarm.
as a third aspect of the present application, there is provided a construction site abnormality recognition apparatus based on a block chain, including:
The first acquisition module is used for acquiring video information;
the judging module is used for judging whether the video information meets a preset abnormal condition or not;
The second acquisition module is used for acquiring abnormal information according to the video information when the judgment module judges that the video information meets the preset abnormal condition;
And the broadcasting module is used for broadcasting the alarm message carrying the alarm content information in the block chain, wherein the alarm content information comprises the abnormal information, so that the second device in the block chain receiving the alarm message acquires the alarm content information therein and processes according to the alarm content information.
Preferably, the first obtaining module is specifically configured to receive video information broadcast by an image obtaining apparatus, or collect video information.
Preferably, the warning content information further includes warning person information, the abnormal information includes an abnormal image, and after the abnormal information is obtained according to the video information and before the warning message carrying the abnormal information is broadcast in the block chain, the method further includes:
and the determining module is used for determining the information of the alarm person according to the abnormal image.
Preferably, the abnormal information includes an abnormal type and an abnormal image, so that the second device in the block chain receiving the warning message acquires the abnormal type and the abnormal image therein, and processes according to the abnormal image when determining that the abnormal type belongs to the jurisdiction range of the second device.
as a fourth aspect of the present application, there is provided a construction site exception handling apparatus based on a block chain, including:
The device comprises a receiving module, a judging module and a sending module, wherein the receiving module is used for receiving an alarm message broadcasted by a first device in a block chain, and the alarm message is sent by the first device after judging that the obtained video information meets a preset abnormal condition;
An obtaining module, configured to obtain alarm content information carried in the alarm message, where the alarm content information includes abnormal information, and the abnormal information is obtained by the first device from obtained video information;
And the processing module is used for processing according to the alarm content information.
Preferably, the exception information includes an exception type and an exception image, and the processing module is specifically configured to determine whether the exception type belongs to a jurisdiction range of the processing module, and if so, perform processing according to the exception image.
The abnormal information comprises an abnormal image, the alarm content information also comprises alarm person information, and the alarm person information is determined by the first device according to the abnormal image;
Preferably, the processing module is specifically configured to determine whether the information of the alarm person is consistent with locally stored information, and if so, send an alarm; alternatively, the first and second electrodes may be,
And the alarm person information comprises a mobile phone number, whether the alarm person information belongs to the operator is judged, and if the alarm person information belongs to the operator, alarm information is sent to terminal equipment corresponding to the alarm person information according to the abnormal image so that the terminal equipment sends an alarm.
According to the method and the device, whether the obtained video information meets the preset abnormal condition or not is judged, if yes, the abnormal information is obtained according to the video information, the alarm information carrying the abnormal information is broadcasted in the block chain, and therefore the second device in the block chain receiving the alarm information obtains the alarm content information in the block chain, and processing is conducted according to the alarm content information. The method and the system solve the problems that various abnormal phenomena in the existing construction site cannot be checked in time, the alarm cannot be given in time to dangerous situations, and the later insurance responsibility investigation is not facilitated.
drawings
fig. 1 is a flowchart of a block chain-based job site anomaly identification method according to a first embodiment of the present application;
fig. 2 is a flowchart of a method for processing an exception at a construction site based on a block chain according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of a block chain-based construction site anomaly identification device according to a third embodiment of the present application;
Fig. 4 is a schematic structural diagram of a construction site exception handling device based on a block chain according to a fourth embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood by those skilled in the art, the present application is described in further detail below with reference to the accompanying drawings and the detailed description.
The application provides a construction site abnormity identification method and device based on a block chain, and a construction site abnormity processing method and device based on the block chain. The following detailed description is made with reference to the drawings of the embodiments provided in the present application, respectively.
For ease of understanding, the nodes of the blockchain in this application are briefly introduced. The system comprises nodes in two block chains, wherein the first device is a server for broadcasting alarm messages and comprises a video analysis server and a camera, the second device is a server for receiving the alarm messages, the second device comprises two types, the first type is a police station terminal, a fire brigade terminal and a construction supervision personnel terminal, and the second type is an alarm person mobile terminal and a short message gateway. The first device broadcasts the alarm message aiming at the construction site, and the second device receives the alarm message broadcasted by the first device and processes the alarm message after the alarm message passes the verification.
as a first embodiment of the present application, a method for identifying an abnormality of a construction site based on a block chain is provided. The execution main body of the construction site abnormity identification method based on the block chain is a server for broadcasting alarm information, namely a first device, which comprises a video analysis server or a camera. As shown in fig. 1, the method for identifying the anomaly of the construction site based on the block chain comprises the following steps.
Step S101, video information is acquired.
Preferably, when the execution subject is a video analysis server, the step S101 of acquiring video information includes: and receiving video information broadcast by an image acquisition device, wherein the image acquisition device is a camera. In this step, both the camera and the video analytics server are nodes in the blockchain. The cameras are arranged at certain intervals or angles on a construction site, and 360-degree dead-corner-free monitoring is realized by considering the characteristics of the building. The cameras acquire video information in real time, each camera serves as a node of a block chain, is accessed into a block chain network, and broadcasts the acquired video information to the block chain network after being signed by a private key of the camera in a broadcast message sending mode in real time. The method comprises the steps that a fixed number of video analysis servers are arranged on a block chain network, each video analysis server corresponds to a fixed number of cameras, and the video analysis servers receive video information broadcasted by the cameras in real time.
it should be noted that the execution subject of step 101 may also be a camera, and correspondingly, the step of acquiring video information includes: and collecting video information. In this step, the cameras are nodes in the blockchain, and the video analysis module is located inside each camera. The cameras are arranged at certain intervals or angles on a construction site, and 360-degree dead-corner-free monitoring is realized by considering the characteristics of the building. The cameras collect video information in real time, and each camera is used as a node of a block chain and is accessed into a block chain network.
step S102, judging whether the acquired video information meets a preset abnormal condition, if so, executing step S103; if not, the process is ended.
In step S102, after receiving the video information broadcast by each camera, the video analysis server queries the blockchain account book according to the blockchain identifier of the camera to find the blockchain public key corresponding to the camera, and verifies the private key signature of the video information broadcast by the camera. If the private key passes the verification, the video analysis server scans the video information acquired by the camera or the collected video information by the camera (the camera does not need to verify the video information), judges whether the video information meets a preset abnormal condition, namely judges whether the video information has an abnormal phenomenon, and if the video information has the abnormal phenomenon, executes step S103.
Specifically, the abnormality information includes an abnormality type and an abnormality image. The abnormal types of the abnormal phenomenon include: the safety helmet is not worn, the safety belt is not tied, the safety distance between the oxygen cylinder and the acetylene cylinder is not enough, and the situations of personal injury, fire and the like exist. The abnormal phenomenon can be monitored by setting an abnormal condition, for example, when the brightness of a certain area in the picture is greater than a certain brightness threshold value, the fire can be considered to be on; when the picture is violently fluctuated, for example, the average value of the absolute values of the pixel value changes of the corresponding positions of the previous frame and the next frame of the picture exceeds a certain threshold value, the construction site is considered to be robbed, and the like; the safe distance between the oxygen bottle and the acetylene bottle can identify different types of bottles through video information, and then the distance between the two different types of bottles is determined by calculating the video picture scale according to the types and sizes of the bottles.
and step S103, acquiring abnormal information according to the video information.
Preferably, the abnormality information includes an abnormality type and an abnormality image.
specifically, when the video analysis server or the camera judges that the acquired video information meets the preset abnormal condition, that is, the video information is judged to have an abnormal phenomenon, the video analysis server or the camera stores a screenshot corresponding to the abnormal phenomenon to obtain an abnormal image, and acquires an abnormal type corresponding to the abnormal phenomenon, such as an insufficient safe distance between an oxygen cylinder and an acetylene cylinder, a fire condition, and the like.
Step S104, broadcasting an alarm message carrying alarm content information in the block chain, wherein the alarm content information comprises the abnormal information, so that the second device in the block chain receiving the alarm message acquires the alarm content information therein and processes according to the alarm content information.
Specifically, after using a private key signature of the video analysis server or the camera, the video analysis server or the camera broadcasts an alarm message carrying an abnormal image and an abnormal type corresponding to the abnormal image to the blockchain network, so that a second device in the blockchain receiving the alarm message searches for a public key corresponding to the video analysis server corresponding to the blockchain identifier in the blockchain account book according to the blockchain identifier of the video analysis server, and then verifies the private key signature of the alarm message. And if the second device verifies that the private key signature passes, acquiring an abnormal image and an abnormal type corresponding to the abnormal image, and performing corresponding processing according to the abnormal image when judging that the abnormal type belongs to the jurisdiction range of the second device. For example, the abnormal type is a fire, the second device is a fire brigade terminal, the fire brigade terminal is used as a node in the block chain to receive the alarm message of the fire, and when the fire brigade terminal passes verification, the abnormal type is judged to be the fire, the fire brigade terminal belongs to the jurisdiction range of the fire brigade terminal, and corresponding measures are taken to process the fire brigade terminal, for example, a fire truck is moved to extinguish a fire and the like.
It should be noted that the second device here is a node that receives the warning message, and includes a police station terminal, a fire brigade terminal, and a construction supervisor terminal.
further, the alarm content information further includes alarm person information, the abnormal information includes an abnormal image, and after the step S103 and before the step S104, the method further includes: and determining the information of the alarm person according to the abnormal image. In this embodiment, when the video analysis server or the camera determines that the obtained video information meets the preset abnormal condition, that is, when it is determined that the video information has an abnormal phenomenon, the video analysis server or the camera obtains the alarm person information of the alarm person through comprehensive analysis by analyzing facial features, body signs, clothing classifications, division of labor in the construction area, work category classification, and the like corresponding to the site related persons of the abnormal phenomenon, where the alarm person information includes a mobile phone number and a name of the alarm person. The video analysis server or the camera sends the alarm message carrying the information of the alarm person in a block chain network mode, so that the corresponding alarm person mobile terminal or the short message gateway receives the alarm message, selectively identifies the alarm message and sends an alarm after the identification is passed.
according to the construction site anomaly identification method based on the block chain, a camera is deployed on each edge computing node, the camera and a video analysis server are used as nodes in the block chain and are connected to a block chain network, or only the camera is used as a node in the block chain, and a video analysis module is deployed in the camera. Judging whether the acquired video information meets a preset abnormal condition or not through a video analysis module in a video analysis server or a camera, if so, acquiring abnormal information according to the video information, broadcasting alarm information carrying the abnormal information in a block chain, so that a second device in the block chain receiving the alarm information acquires the alarm content information therein, and processing according to the alarm content information. The method and the system solve the problems that various abnormal phenomena in the existing construction site cannot be checked in time, the alarm cannot be given in time to dangerous situations, and the later insurance responsibility investigation is not facilitated. And by means of the block chain security encryption capability, the data is ensured to be not tampered, and the data security and privacy are realized.
as a second embodiment of the present application, a block chain-based construction safety processing method is provided. The execution main body of the construction safety processing method based on the block chain is a server for receiving alarm messages, namely a second device, and the second device comprises two types, wherein the first type is a police station terminal, a fire brigade terminal and a construction supervision personnel terminal, and the second type is an alarm person mobile terminal and a short message gateway. As shown in fig. 2, the block chain-based construction safety processing method includes the following steps.
Step S201, receiving an alarm message broadcast by a first device in a block chain.
Specifically, a police station terminal, a fire station terminal, a construction supervision personnel terminal, an alarm person mobile terminal or a short message gateway receives an alarm message broadcasted by the first device. The first device is a node for broadcasting an alarm message, and may be a camera or a video analysis server, and the alarm message is sent by the first device after the video information acquired by the first device meets a preset abnormal condition, that is, the camera or the video analysis server sends the video information after the video information is judged to have an abnormal phenomenon.
Step S202, obtaining the alarm content information carried in the alarm message.
Specifically, a police station terminal, a fire station terminal, a construction supervision personnel terminal, an alarm person mobile terminal or a short message gateway searches a public key corresponding to a first device corresponding to a block chain identifier in a block chain account book according to the block chain identifier of the first device, and then verifies a private key signature of the alarm message. And if the private key signature of the police station terminal, the fire station terminal, the construction supervision personnel terminal, the alarm person mobile terminal or the short message gateway passes the verification, acquiring alarm content information carried in the private key signature, wherein the alarm content information comprises abnormal information, and the abnormal information is acquired by the first device from the acquired video information.
And step S203, processing according to the alarm content information.
preferably, the abnormal information includes an abnormal type and an abnormal image, and when a police station terminal, a fire station terminal, and a construction supervisor terminal are used as execution subjects, the step S203 performs processing according to the alarm content information, including: and judging whether the abnormal type belongs to the jurisdiction range of the abnormal type, and if so, processing according to the abnormal image.
Specifically, when the police station terminal, the fire station terminal and the construction supervision personnel terminal judge that the abnormal type belongs to the jurisdiction range of the police station terminal, the fire station terminal and the construction supervision personnel terminal, corresponding processing is carried out according to the abnormal image. For example, the abnormal type is a fire, the fire brigade terminal is used as a node in a block chain to receive the alarm message of the fire, and when the verification is passed, the abnormal type is judged to be the fire, the abnormal type belongs to the jurisdiction range of the fire brigade terminal, and corresponding measures are taken for processing a construction site with the fire according to the abnormal image, such as fire extinguishing by moving a fire truck.
Further, the alarm content information further includes alarm person information, the abnormal information includes an abnormal image, and when the execution subject is an alarm person mobile terminal, the step S203 performs processing according to the alarm content information, including: and judging whether the information of the alarm person is consistent with the locally stored information or not, and if so, giving an alarm.
specifically, when the first device judges that the acquired video information meets a preset abnormal condition, namely, judges that the video information has an abnormal phenomenon, the first device comprehensively analyzes facial features, body signs and clothing classifications corresponding to site related personnel of the abnormal phenomenon, division of labor and work types of a site construction area, and the like to obtain alarm person information of the alarm person, wherein the alarm person information comprises a mobile phone number and a name of the alarm person. It should be noted that the alarm person is a field related person who has an abnormal phenomenon, and may be a worker or a non-worker. The first device sends an alarm message carrying alarm content information in a block chain network mode, wherein the alarm content information comprises abnormal information and alarm person information, and the abnormal information comprises an abnormal image.
After receiving the alarm message broadcast by the first device, the alarm mobile terminal acquires the alarm content information carried in the alarm message after passing the verification, namely acquires the abnormal image and the alarm information. The alarm person information comprises the mobile phone number and name of the alarm person, after the alarm person mobile terminal receives the alarm information, the alarm information is selectively identified, and if the alarm information is consistent with the locally stored mobile phone number and name, the mobile phone locally makes a sound or vibrates to perform alarm operation.
preferably, if the mobile terminal of the alarm person is connected to the blockchain network or causes a large amount of power consumption of the smart phone, which causes inconvenience to the user, the mobile terminal of the alarm person may not be connected to the blockchain network, but a short message gateway of an operator is used as a node of the blockchain and is connected to the blockchain network. The alarm information includes a mobile phone number, and when the execution subject is a short message gateway, the step S203 performs processing according to the alarm content information, and further includes: and judging whether the alarm person information belongs to the operator, if so, sending alarm information to the terminal equipment corresponding to the alarm person information according to the abnormal image so as to enable the terminal equipment to send an alarm.
Specifically, the short message gateway verifies the private key signature of the warning message, acquires whether the mobile phone number in the warning person information carried in the short message gateway belongs to the operator after the verification is passed, and issues the warning message carrying the corresponding abnormal image to the mobile phone number if the mobile phone number belongs to the user of the operator where the mobile phone number belongs. After the alarm person mobile terminal receives the short message, the alarm operation in a sound or vibration mode is automatically sent out.
According to the construction site exception handling method based on the block chain, a police station terminal, a fire station terminal and a construction supervision personnel terminal are deployed to serve as nodes in the block chain and are connected to a block chain network. The police station terminal, the fire station terminal and the construction supervision personnel terminal acquire alarm content information carried in the alarm message by receiving the alarm message broadcast by the first device in the block chain, judge whether the abnormal type in the alarm content information belongs to the jurisdiction range of the police station, and if the abnormal type in the alarm content information belongs to the jurisdiction range, perform corresponding processing according to an abnormal image in the alarm content information.
according to the construction site exception handling method based on the block chain, the mobile terminal of the alarm person or the short message gateway is used as a node in the block chain and is accessed into a block chain network. The mobile terminal of the alarm person obtains the alarm content information carried in the alarm message by receiving the alarm message broadcasted by the first device in the block chain, judges whether the alarm person information in the alarm content information is consistent with the locally stored information, and sends out an alarm if the alarm person information in the alarm content information is consistent with the locally stored information. Or, the short message gateway acquires the alarm content information carried in the alarm message by receiving the alarm message broadcast by the first device in the block chain, judges whether the alarm person information in the alarm content information belongs to the operator, and if so, sends the alarm information to the terminal equipment corresponding to the alarm person information according to the abnormal image in the alarm content information, so that the terminal equipment sends an alarm.
The method and the system solve the problems that various abnormal phenomena in the existing construction site cannot be checked in time, the alarm cannot be given in time to dangerous situations, and the later insurance responsibility investigation is not facilitated. And by means of the block chain security encryption capability, the data is ensured to be not tampered, and the data security and privacy are realized.
as a third embodiment of the present application, there is provided a block chain-based job site abnormality recognition apparatus, as shown in fig. 3, including a first obtaining module 11, a determining module 12, a second obtaining module 13, and a broadcasting module 14. The block chain-based construction site abnormality identification device is used for executing the block chain-based construction site abnormality identification method provided by the first embodiment of the application.
The method comprises the following specific steps:
The first obtaining module 11 is configured to obtain video information.
And the judging module 12 is configured to judge whether the video information meets a preset abnormal condition.
And the second obtaining module 13 is configured to, when the judging module judges that the video information meets the preset abnormal condition, obtain abnormal information according to the video information.
The broadcasting module 14 is configured to broadcast an alarm message carrying alarm content information in a block chain, where the alarm content information includes the abnormal information, so that a second device in the block chain that receives the alarm message obtains the alarm content information therein and performs processing according to the alarm content information.
optionally, the first obtaining module 11 is specifically configured to receive video information broadcast by an image obtaining apparatus, or collect the video information.
Optionally, the alarm content information further includes alarm person information, the abnormal information includes an abnormal image, and after the abnormal information is obtained according to the video information and before the alarm message carrying the abnormal information is broadcast in the block chain, the method further includes:
And the determining module is used for determining the information of the alarm person according to the abnormal image.
Optionally, the abnormal information includes an abnormal type and an abnormal image, so that the second device in the block chain receiving the warning message acquires the abnormal type and the abnormal image therein, and processes according to the abnormal image when it is determined that the abnormal type belongs to its jurisdiction range.
as a fourth embodiment of the present application, there is provided a block chain-based job site exception handling apparatus, as shown in fig. 4, which includes a receiving module 21, an obtaining module 22, and a processing module 23. The block chain-based construction site exception handling device is used for executing the block chain-based construction site exception handling method provided by the second embodiment of the application. The method comprises the following specific steps:
the receiving module 21 is configured to receive an alarm message broadcast by a first device in a block chain, where the alarm message is sent by the first device after determining that the obtained video information meets a preset abnormal condition.
an obtaining module 22, configured to obtain the alarm content information carried in the alarm message, where the alarm content information includes abnormal information, and the abnormal information is obtained by the first device from the obtained video information.
And the processing module 23 is configured to perform processing according to the alarm content information.
optionally, the abnormal information includes an abnormal type and an abnormal image, and the processing module 23 is specifically configured to determine whether the abnormal type belongs to its own jurisdiction range, and if so, perform processing according to the abnormal image.
Optionally, the abnormal information includes an abnormal image, the alarm content information further includes alarm person information, and the alarm person information is determined by the first device according to the abnormal image.
The processing module 23 is specifically configured to determine whether the information of the alarm person is consistent with the locally stored information, and if so, send an alarm; or the alarm person information comprises a mobile phone number, whether the alarm person information belongs to the operator is judged, and if the alarm person information belongs to the operator, alarm information is sent to terminal equipment corresponding to the alarm person information according to the abnormal image so that the terminal equipment sends an alarm.
It is to be understood that the above embodiments are merely exemplary embodiments that are employed to illustrate the principles of the present application, and that the present application is not limited thereto. It will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the application, and these changes and modifications are to be considered as the scope of the application.
Claims (14)
1. A construction site abnormity identification method based on a block chain is characterized by comprising the following steps:
Acquiring video information;
judging whether the video information meets a preset abnormal condition or not;
If yes, obtaining abnormal information according to the video information;
And broadcasting an alarm message carrying alarm content information in the block chain, wherein the alarm content information comprises the abnormal information, so that a second device in the block chain receiving the alarm message acquires the alarm content information therein and processes according to the alarm content information.
2. The method for identifying the anomaly of the construction site based on the block chain as claimed in claim 1, wherein the acquiring the video information comprises: and receiving video information broadcast by the image acquisition device, or acquiring the video information.
3. The method as claimed in claim 1 or 2, wherein the alarm content information further includes alarm person information, the anomaly information includes an anomaly image, and after acquiring anomaly information from the video information and before broadcasting an alarm message carrying the anomaly information in the blockchain, the method further includes:
And determining the information of the alarm person according to the abnormal image.
4. The method for identifying the abnormality of the construction site based on the block chain as claimed in claim 1 or 2, wherein the abnormality information includes an abnormality type and an abnormality image, so that the second device in the block chain receiving the alarm message acquires the abnormality type and the abnormality image therein, and processes according to the abnormality image when judging that the abnormality type belongs to the jurisdiction range of the second device.
5. A construction site exception handling method based on a block chain is characterized by comprising the following steps:
Receiving an alarm message broadcasted by a first device in a block chain, wherein the alarm message is sent by the first device after judging that the obtained video information meets a preset abnormal condition;
Acquiring alarm content information carried in the alarm message, wherein the alarm content information comprises abnormal information, and the abnormal information is acquired by the first device from the acquired video information;
and processing according to the alarm content information.
6. the block chain-based construction site exception handling method according to claim 5, wherein the exception information includes an exception type and an exception image, and the processing according to the alarm content information includes:
and judging whether the abnormal type belongs to the jurisdiction range of the abnormal type, and if so, processing according to the abnormal image.
7. The block chain-based job site abnormality processing method according to claim 5, wherein the abnormality information includes an abnormality image, the alarm content information further includes alarm person information, the alarm person information being determined by the first device from the abnormality image;
The processing according to the alarm content information includes:
Judging whether the information of the alarm person is consistent with the locally stored information or not, and if so, sending an alarm; alternatively, the first and second electrodes may be,
and the alarm person information comprises a mobile phone number, whether the alarm person information belongs to the operator is judged, and if the alarm person information belongs to the operator, alarm information is sent to terminal equipment corresponding to the alarm person information according to the abnormal image so that the terminal equipment sends an alarm.
8. the utility model provides a job site anomaly identification device based on block chain which characterized in that includes:
the first acquisition module is used for acquiring video information;
the judging module is used for judging whether the video information meets a preset abnormal condition or not;
the second acquisition module is used for acquiring abnormal information according to the video information when the judgment module judges that the video information meets the preset abnormal condition;
And the broadcasting module is used for broadcasting the alarm message carrying the alarm content information in the block chain, wherein the alarm content information comprises the abnormal information, so that the second device in the block chain receiving the alarm message acquires the alarm content information therein and processes according to the alarm content information.
9. The device for identifying abnormalities in a construction site based on a block chain as claimed in claim 8, wherein said first acquiring module is specifically configured to receive video information broadcast by an image acquiring device or collect video information.
10. The apparatus according to claim 8 or 9, wherein the alarm content information further includes alarm person information, the anomaly information includes an anomaly image, and after acquiring anomaly information from the video information and before broadcasting an alarm message carrying the anomaly information in the blockchain, the apparatus further includes:
And the determining module is used for determining the information of the alarm person according to the abnormal image.
11. The device for identifying the abnormality of the block chain-based construction site according to claim 8 or 9, wherein the abnormality information includes an abnormality type and an abnormality image, so that the second device in the block chain receiving the warning message acquires the abnormality type and the abnormality image therein, and performs processing according to the abnormality image when determining that the abnormality type belongs to its jurisdiction.
12. A job site exception handling device based on block chain, characterized by comprising:
The device comprises a receiving module, a judging module and a sending module, wherein the receiving module is used for receiving an alarm message broadcasted by a first device in a block chain, and the alarm message is sent by the first device after judging that the obtained video information meets a preset abnormal condition;
An obtaining module, configured to obtain alarm content information carried in the alarm message, where the alarm content information includes abnormal information, and the abnormal information is obtained by the first device from obtained video information;
and the processing module is used for processing according to the alarm content information.
13. The device for processing the exception on the construction site based on the block chain as claimed in claim 12, wherein the exception information includes an exception type and an exception image, and the processing module is specifically configured to determine whether the exception type belongs to its own jurisdiction range, and if so, perform processing according to the exception image.
14. The block chain-based job site abnormality processing apparatus according to claim 12, wherein the abnormality information includes an abnormality image, the alarm content information further includes alarm person information, the alarm person information being determined by the first apparatus from the abnormality image;
the processing module is specifically used for judging whether the information of the alarm person is consistent with the locally stored information or not, and if so, sending an alarm; alternatively, the first and second electrodes may be,
and the alarm person information comprises a mobile phone number, whether the alarm person information belongs to the operator is judged, and if the alarm person information belongs to the operator, alarm information is sent to terminal equipment corresponding to the alarm person information according to the abnormal image so that the terminal equipment sends an alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910831124.7A CN110544362A (en) | 2019-09-04 | 2019-09-04 | Construction site anomaly identification method and device based on block chain |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910831124.7A CN110544362A (en) | 2019-09-04 | 2019-09-04 | Construction site anomaly identification method and device based on block chain |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110544362A true CN110544362A (en) | 2019-12-06 |
Family
ID=68711248
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910831124.7A Pending CN110544362A (en) | 2019-09-04 | 2019-09-04 | Construction site anomaly identification method and device based on block chain |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110544362A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112055060A (en) * | 2020-08-20 | 2020-12-08 | 郑州信大捷安信息技术股份有限公司 | Method and system for recognizing and alarming abnormal behavior of V2X terminal |
| CN112104610A (en) * | 2020-08-20 | 2020-12-18 | 郑州信大捷安信息技术股份有限公司 | Abnormal behavior identification and joint alarm method and system for V2X terminal |
| CN112365740A (en) * | 2020-11-30 | 2021-02-12 | 北京停简单信息技术有限公司 | Alarm display method and device |
| CN114783145A (en) * | 2022-06-23 | 2022-07-22 | 四川易链科技有限公司 | Block chain-based dangerous condition early warning device and method |
| CN115296979A (en) * | 2022-08-01 | 2022-11-04 | 中国农业银行股份有限公司 | Fault processing method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1099406A2 (en) * | 1999-11-11 | 2001-05-16 | GE Medical Systems Information Technologies, Inc. | Portable patient monitor with alarm light integrated into handle |
| CN108777703A (en) * | 2018-05-15 | 2018-11-09 | 维沃移动通信有限公司 | A kind of abnormal behaviour processing method and system based on block chain |
| CN108961643A (en) * | 2018-06-12 | 2018-12-07 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of parameter management method based on block chain, device and terminal device |
| CN109728649A (en) * | 2019-02-26 | 2019-05-07 | 国网山东省电力公司莒县供电公司 | A kind of switchgear house long-distance monitoring method and system based on block chain |
| CN110166741A (en) * | 2019-04-15 | 2019-08-23 | 深圳壹账通智能科技有限公司 | Environment control method, device, equipment and storage medium based on artificial intelligence |
-
2019
- 2019-09-04 CN CN201910831124.7A patent/CN110544362A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1099406A2 (en) * | 1999-11-11 | 2001-05-16 | GE Medical Systems Information Technologies, Inc. | Portable patient monitor with alarm light integrated into handle |
| CN108777703A (en) * | 2018-05-15 | 2018-11-09 | 维沃移动通信有限公司 | A kind of abnormal behaviour processing method and system based on block chain |
| CN108961643A (en) * | 2018-06-12 | 2018-12-07 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of parameter management method based on block chain, device and terminal device |
| CN109728649A (en) * | 2019-02-26 | 2019-05-07 | 国网山东省电力公司莒县供电公司 | A kind of switchgear house long-distance monitoring method and system based on block chain |
| CN110166741A (en) * | 2019-04-15 | 2019-08-23 | 深圳壹账通智能科技有限公司 | Environment control method, device, equipment and storage medium based on artificial intelligence |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112055060A (en) * | 2020-08-20 | 2020-12-08 | 郑州信大捷安信息技术股份有限公司 | Method and system for recognizing and alarming abnormal behavior of V2X terminal |
| CN112104610A (en) * | 2020-08-20 | 2020-12-18 | 郑州信大捷安信息技术股份有限公司 | Abnormal behavior identification and joint alarm method and system for V2X terminal |
| CN112104610B (en) * | 2020-08-20 | 2022-02-11 | 郑州信大捷安信息技术股份有限公司 | Abnormal behavior identification and joint alarm method and system for V2X terminal |
| CN112055060B (en) * | 2020-08-20 | 2022-02-11 | 郑州信大捷安信息技术股份有限公司 | Method and system for recognizing and alarming abnormal behavior of V2X terminal |
| CN112365740A (en) * | 2020-11-30 | 2021-02-12 | 北京停简单信息技术有限公司 | Alarm display method and device |
| CN114783145A (en) * | 2022-06-23 | 2022-07-22 | 四川易链科技有限公司 | Block chain-based dangerous condition early warning device and method |
| CN115296979A (en) * | 2022-08-01 | 2022-11-04 | 中国农业银行股份有限公司 | Fault processing method, device, equipment and storage medium |
| CN115296979B (en) * | 2022-08-01 | 2024-03-08 | 中国农业银行股份有限公司 | Fault processing method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110544362A (en) | Construction site anomaly identification method and device based on block chain | |
| CN110245630B (en) | Monitoring data processing method and device and readable storage medium | |
| US8368754B2 (en) | Video pattern recognition for automating emergency service incident awareness and response | |
| CN211293956U (en) | AI-based identification and alarm system for abnormal agent on construction site | |
| CN107067676B (en) | Intelligent pushing processing method and device for alarm event | |
| CN113011833A (en) | Safety management method and device for construction site, computer equipment and storage medium | |
| WO2020042637A1 (en) | Supervision method, apparatus and system, cloud server and storage medium | |
| KR101150993B1 (en) | Tunnel emergency remote control system | |
| CN110705834A (en) | Industrial and mining enterprise dangerous state identification method | |
| CN112112629A (en) | Safety business management system and method in drilling operation process | |
| CN112071007A (en) | Museum safety prevention and control management system | |
| CN112419639A (en) | Video information acquisition method and device | |
| CN110222216B (en) | Multifunctional intelligent defense system | |
| CN113955594B (en) | Elevator control method and device, computer equipment and storage medium | |
| CN111539862A (en) | Individual-soldier dispatch-based emergency processing method and device and computer equipment | |
| CN106713492A (en) | Garbage station relay monitoring system and monitoring method based on cloud computing | |
| CN213424017U (en) | Intelligent construction site system | |
| CN110928305B (en) | Patrol method and system for patrol robot of railway passenger station | |
| CN111539252A (en) | Personnel monitoring method and device, computer equipment and storage medium | |
| CN110519560B (en) | Intelligent early warning method, device and system | |
| CN110751125A (en) | Wearing detection method and device | |
| CN112419638B (en) | Method and device for acquiring alarm video | |
| CN112576310B (en) | Tunnel security detection method and system based on robot | |
| CN115223091A (en) | AI-based construction site hidden danger monitoring method, device, equipment and storage medium | |
| CN115100572A (en) | System and method for analyzing abnormal behaviors of campus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191206 |