CN113382213B - Video monitoring system and monitoring method thereof - Google Patents

Video monitoring system and monitoring method thereof Download PDF

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CN113382213B
CN113382213B CN202110927839.XA CN202110927839A CN113382213B CN 113382213 B CN113382213 B CN 113382213B CN 202110927839 A CN202110927839 A CN 202110927839A CN 113382213 B CN113382213 B CN 113382213B
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姚世军
刘贵兵
王珍妮
孙珊珊
陈巧利
杨晓亮
王春雨
曹秀琦
胡晓克
郭明东
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Beijing Weijie Dongbo Information Technology Co ltd
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Abstract

The application provides a video monitoring system and a monitoring method thereof, wherein the system comprises: the video image acquisition device is used for acquiring video image monitoring data and sending a request for uploading the video image monitoring data to the general video monitoring center; the main video monitoring center is used for responding to the request of uploading the video image monitoring data and judging whether the uploading of the video image monitoring data is allowed, if so, the uploading of the video image monitoring data is allowed, and otherwise, the uploading of the video image data is forbidden; and the video image data subprocessor is used for acquiring the safety video image monitoring data and the project progress video image monitoring data in the video image monitoring data through data transmission links with different transmission priorities according to the timeliness requirements of the different types of video image monitoring data, acquiring danger alarm data and sending out danger alarm. According to the method and the device, construction site video monitoring data are obtained, and dangerous events, project progress and quality conditions are monitored.

Description

Video monitoring system and monitoring method thereof
Technical Field
The present application relates to the field of image communication technologies, and in particular, to a video monitoring system and a monitoring method thereof.
Background
The existing traffic construction and highway construction management experience is insufficient, some problems and potential safety hazards which are not overlooked exist in the project construction process, for example, dangerous events such as people entering dangerous sites, safety helmets not worn on the construction sites, irregular construction operation and the like can not be found and reported in time, and safety accidents are easily caused. In addition, the backward manual monitoring mode causes that the acquisition, analysis and processing of monitoring data lag behind the requirements of construction projects, and the potential safety hazards of the construction projects cannot be discovered and forecasted in time. The manual monitoring results in poor timeliness of video monitoring, and meanwhile, the consumed manpower and material resources are very much. In addition, in the prior art, whether the collected video monitoring data meet the requirements or not cannot be judged according to the attribute characteristics and the operation characteristics of the video image sampling device, and some video monitoring data which do not meet the requirements are uploaded to a monitoring system, so that errors and redundancy of the monitoring data are caused.
In the existing traffic construction and highway construction management, data of projects need to be compared, project progress needs to be monitored, project schemes need to be temporarily modified, and the like.
Disclosure of Invention
The application aims to provide a video monitoring system and a monitoring method thereof, which are used for acquiring construction site video monitoring data and monitoring dangerous events, project progress and quality conditions.
To achieve the above object, the present application provides a video monitoring system, which includes:
the video image acquisition device is used for acquiring video image monitoring data and sending a request for uploading the video image monitoring data to the general video monitoring center;
the main video monitoring center is used for responding to the request of uploading the video image monitoring data and judging whether the uploading of the video image monitoring data is allowed, if so, the uploading of the video image monitoring data is allowed, and otherwise, the uploading of the video image data is forbidden;
the video image data subprocessor is used for acquiring safety video image monitoring data and project progress video image monitoring data in the video image monitoring data through data transmission links with different transmission priorities according to the timeliness requirements of the different types of video image monitoring data;
the video image data sub-processor comprises a first sub-processor, and the first sub-processor is used for inputting the safety video image monitoring data into a pre-established danger alarm detection model, acquiring danger alarm data and sending out a danger alarm;
and the video image display screen is used for displaying the danger alarm data and the project progress video image monitoring data.
The above, wherein the video image data sub-processor further comprises a second sub-processor comprising:
the first acquisition module is used for acquiring project progress parameters according to the project progress video image monitoring data and acquiring construction equipment operation data corresponding to the project progress;
the first data processing unit is used for calculating a prediction deviation value of the current construction process according to the project progress parameter, the project progress standard table and the construction equipment operation data;
and the first comparison module is used for comparing the prediction deviation value of the current construction process with the preset allowable deviation value, if the prediction deviation value of the current construction process is smaller than the preset allowable deviation value, a signal which does not need to be adjusted in the construction process is sent, and otherwise, an alarm signal which needs to be adjusted in the construction process is sent.
The above, wherein the video image data sub-processor further comprises a third sub-processor comprising:
the third acquisition module is used for acquiring quality video image monitoring data in the video image monitoring data;
and the abnormal defect detection module is used for inputting the quality video image monitoring data into a pre-established abnormal defect detection model to obtain the abnormal defect data.
As above, wherein the general video monitoring center includes:
the second acquisition module is used for acquiring the attribute characteristic data and the operation characteristic data of the video image acquisition device sending the request and requesting to upload the construction project cycle of the video image monitoring data;
the second data processing unit is used for calculating the reliable value of the video image monitoring data uploaded by the video image acquisition device according to the attribute characteristic data and the operation data of the video image acquisition device and the construction project period of the video image monitoring data requested to be uploaded;
and the second comparison module is used for comparing the reliable value of the video image monitoring data uploaded by the video image acquisition device with the preset threshold value, if the reliable value is greater than the preset threshold value, the video image acquisition device is allowed to upload the video image monitoring data through a preset data transmission link, otherwise, the uploading of the video image monitoring data is forbidden, and an alarm signal is immediately sent out.
The system as above, wherein the system further comprises a sensor data acquisition device for acquiring the construction equipment operation data.
The application also provides a monitoring method of the video monitoring system, which comprises the following steps:
responding to a request for uploading video image monitoring data, judging whether the uploading of the video image monitoring data is allowed, if so, allowing the uploading of the video image monitoring data, and if not, forbidding the uploading of the video image data;
according to the timeliness requirements of different types of video image monitoring data, acquiring security type video image monitoring data and project progress type video image monitoring data in the video image monitoring data through data transmission links with different transmission priorities;
inputting the safety video image monitoring data into a pre-established danger alarm detection model, acquiring danger alarm data and sending out a danger alarm;
and displaying the danger alarm data and the project progress video image monitoring data.
As above, wherein, the monitoring method of a video monitoring system further comprises the following steps:
acquiring project progress parameters according to the project progress video image monitoring data and acquiring construction equipment operation data corresponding to the project progress;
calculating a prediction deviation value of the current construction process according to the project progress parameter, the project progress standard table and the construction equipment operation data;
and comparing the prediction deviation value of the current construction process with the preset allowable deviation value, if the prediction deviation value of the current construction process is smaller than the preset allowable deviation value, sending a signal that the construction process is not required to be adjusted, and otherwise, sending an alarm signal that the construction process is required to be adjusted.
As above, wherein, the monitoring method of a video monitoring system further includes:
acquiring quality video image monitoring data in the video image monitoring data;
and inputting the quality video image monitoring data into a pre-established abnormal defect detection model to obtain abnormal defect data.
As above, the method for determining whether to allow uploading of the video image monitoring data includes:
acquiring attribute characteristic data and operation characteristic data of the video image acquisition device sending the request, and requesting to upload a construction project cycle of video image monitoring data;
calculating a reliable value of the video image monitoring data uploaded by the video image acquisition device according to the attribute characteristic data and the operation data of the video image acquisition device and the construction project period of the video image monitoring data requested to be uploaded by the video image acquisition device;
and comparing the reliable value of the video image monitoring data uploaded by the video image acquisition device with a preset threshold value, if the reliable value is greater than the preset threshold value, allowing the video image acquisition device to upload the video image monitoring data through a preset data transmission link, otherwise, forbidding uploading the video image monitoring data, and immediately sending an alarm signal.
As above, the calculation formula of the reliable value of the video image monitoring data uploaded by the video image capturing device is as follows:
Figure 963223DEST_PATH_IMAGE001
；
wherein,
Figure 411522DEST_PATH_IMAGE002
representing a reliable value of the video image monitoring data uploaded by the video image acquisition device;Hrepresenting the total number of attribute characteristic data of the video image acquisition device;
Figure 456838DEST_PATH_IMAGE003
to show video image capturing deviceshWhether the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data, if so, the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data
Figure 117626DEST_PATH_IMAGE004
Is 1, otherwise,
Figure 197578DEST_PATH_IMAGE004
is 0.1; n represents the total category number of the operation characteristic data of the video image acquisition device;
Figure 285620DEST_PATH_IMAGE005
representing the weight of the operation characteristic data of the ith category of the video image acquisition device in the reliable value;
Figure 552653DEST_PATH_IMAGE006
representing a deviation tolerance value of the collected ith category operation characteristic data;
Figure 17132DEST_PATH_IMAGE007
standard values representing the i-th category of operating characteristic data;
Figure 951590DEST_PATH_IMAGE008
representing actual measured values which are smaller than standard values in the ith category of operation characteristic data;
Figure 210533DEST_PATH_IMAGE009
representing actual measured values which are greater than or equal to standard values in the ith category of operation characteristic data;
Figure 496021DEST_PATH_IMAGE010
representing the number of the operation characteristic data which is larger than or equal to the standard value;
Figure 498612DEST_PATH_IMAGE011
representing the number of operating characteristic data that are smaller than the standard value.
The beneficial effect that this application realized is as follows:
(1) according to the construction method and the construction system, remote video monitoring is adopted, so that managers can acquire construction site video monitoring data in real time and monitor the working condition of a construction working face, the construction progress of each construction site and the construction safety and quality condition.
(2) The reliability of the video images collected by the video image collecting device is calculated, when the reliability value meets the preset requirement, the uploading of the video image monitoring data to the general video monitoring center is allowed, otherwise, the uploading of the video image monitoring data is forbidden, so that the quality of the video image monitoring data obtained by the general video monitoring center is improved, the video monitoring effect is further improved, and the accuracy of the video monitoring data analysis result is improved.
(3) The method and the device for authenticating the identity of the personnel acquiring the data of the video monitoring center prevent the loss of the engineering data of the video monitoring center and ensure the safety of the engineering data.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a schematic structural diagram of a video monitoring system according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a second sub-processor according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a third sub-processor according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a general video monitoring center according to an embodiment of the present application.
Fig. 5 is a flowchart of a monitoring method of a video monitoring system according to an embodiment of the present application.
Reference numerals: 10-a video image acquisition device; 20-a general video monitoring center; 21-a second acquisition module; 22-a second data processing unit; 23-a second comparison module; 30-a video image data sub-processor; 31-a first sub-processor; 32-a second sub-processor; 33-a third sub-processor; 40-video image display screen; 50-a sensor data acquisition device; 100-video surveillance system; 321-a first obtaining module; 322-a first data processing unit; 323-a first comparison module; 331-a third obtaining module; 332-abnormal Defect detection Module.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present application provides a video surveillance system 100 comprising:
the video image acquisition device 10 is used for acquiring video image monitoring data and sending a request for uploading the video image monitoring data to the general video monitoring center;
the main video monitoring center 20 is used for responding to the request for uploading the video image monitoring data, judging whether the uploading of the video image monitoring data is allowed, if so, allowing the uploading of the video image monitoring data, and otherwise, forbidding the uploading of the video image data;
the video image data sub-processor 30 is configured to obtain security-type video image monitoring data and project progress-type video image monitoring data in the video image monitoring data through data transmission links with different transmission priorities according to timeliness requirements of different types of video image monitoring data;
the video image data sub-processor 30 comprises a first sub-processor 31, and the first sub-processor 31 is used for inputting the safety video image monitoring data into a pre-established danger alarm detection model, acquiring danger alarm data and sending out a danger alarm;
and the video image display screen 40 is used for displaying the danger alarm data and the project progress video image monitoring data.
As shown in fig. 2, the video image data sub-processor 30 further includes a second sub-processor 32, and the second sub-processor 32 includes:
the first obtaining module 321 is configured to obtain a project progress parameter according to the project progress video image monitoring data, and obtain construction equipment operation data corresponding to a project progress;
the first data processing unit 322 is used for calculating a prediction deviation value of the current construction process according to the project progress parameter, the project progress standard table and the construction equipment operation data;
and the first comparison module 323 is used for comparing the prediction deviation value of the current construction process with the preset allowable deviation value, if the prediction deviation value of the current construction process is smaller than the preset allowable deviation value, a signal which does not need to be adjusted in the construction process is sent, and otherwise, an alarm signal which needs to be adjusted in the construction process is sent.
As shown in fig. 3, the video image data sub-processor 30 further includes a third sub-processor 33, the third sub-processor 33 including:
the third obtaining module 331 is configured to obtain quality-type video image monitoring data in the video image monitoring data;
the abnormal defect detection module 332 is configured to input the quality-class video image monitoring data into a pre-established abnormal defect detection model to obtain abnormal defect data.
As shown in fig. 4, the overall video monitoring center 20 includes:
a second obtaining module 21, configured to obtain attribute feature data and operation feature data of the video image acquisition device that sends the request, and a construction project cycle for requesting to upload video image monitoring data;
the second data processing unit 22 is used for calculating a reliable value of the video image monitoring data uploaded by the video image acquisition device according to the attribute characteristic data and the operation data of the video image acquisition device and the construction project period of the video image monitoring data requested to be uploaded by the video image acquisition device;
the second comparing module 23 is configured to compare the reliability value of the video image monitoring data uploaded by the video image capturing device with a preset threshold, and if the reliability value is greater than the preset threshold, allow the video image capturing device to upload the video image monitoring data through a preset data transmission link, otherwise prohibit uploading the video image monitoring data, and immediately send an alarm signal.
The video monitoring system 100 further includes a sensor data acquisition device 50, and the sensor data acquisition device 50 is used for acquiring the operation data of the construction equipment.
Example two
As shown in fig. 5, the present application provides a monitoring method of a video monitoring system, the monitoring method including:
step S1, in response to the request for uploading the video image monitoring data, acquiring attribute feature data and operation feature data of the video image capturing device that issued the request, and a construction project cycle for which the request for uploading the video image monitoring data is made.
The request for uploading the video image monitoring data comprises the type of the video image monitoring data, the type of the construction project and the period of the construction project.
The types of the video image monitoring data comprise project progress type video image monitoring data, quality type video image monitoring data and safety type video image monitoring data.
Specifically, when the video image acquisition device acquires video image monitoring data, a signal for acquiring the data is sent to the server, and the server acquires attribute characteristic data and operation characteristic data of the video image acquisition device and a construction project cycle for acquiring the video image monitoring data.
The attribute characteristic data of the video image acquisition device comprises the number, the interface address, the position and/or the local area network address and the like of the video image acquisition device. The operation characteristic data of the video image acquisition device comprises working current, working voltage, resolution, image contrast and/or image definition and the like of the video image acquisition device.
The method comprises the steps of establishing a matching relation table of construction projects and video image acquisition devices in different construction periods in advance, wherein the matching relation table comprises a plurality of video image acquisition devices with different numbers, matched with the construction projects in different construction periods, and the matching relation table comprises a plurality of video image acquisition devices with different addresses, matched with the construction projects in different construction periods.
And step S2, calculating the reliable value of the video image monitoring data uploaded by the video image acquisition device according to the attribute characteristic data and the operation data of the video image acquisition device and the construction project period of the video image monitoring data uploaded by the video image acquisition device.
The calculation formula of the reliable value of the video image monitoring data uploaded by the video image acquisition device is as follows:
Figure 287577DEST_PATH_IMAGE012
；
wherein,
Figure 983000DEST_PATH_IMAGE013
representing a reliable value of the video image monitoring data uploaded by the video image acquisition device;Hrepresenting the total number of attribute characteristic data of the video image acquisition device;
Figure 490205DEST_PATH_IMAGE014
to show video image capturing deviceshWhether the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data, if so, the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data
Figure 30908DEST_PATH_IMAGE015
Is 1, otherwise,
Figure 939958DEST_PATH_IMAGE015
is 0.1; n represents the total category number of the operation characteristic data of the video image acquisition device;
Figure 540703DEST_PATH_IMAGE016
representing the weight of the operation characteristic data of the ith category of the video image acquisition device in the reliable value;
Figure 535204DEST_PATH_IMAGE017
representing a deviation tolerance value of the collected ith category operation characteristic data;
Figure 879598DEST_PATH_IMAGE018
standard values representing the i-th category of operating characteristic data;
Figure 643155DEST_PATH_IMAGE019
representing actual measured values which are smaller than standard values in the ith category of operation characteristic data;
Figure 680381DEST_PATH_IMAGE020
representing actual measured values which are greater than or equal to standard values in the ith category of operation characteristic data;
Figure 896598DEST_PATH_IMAGE021
representing the number of the operation characteristic data which is larger than or equal to the standard value;
Figure 44683DEST_PATH_IMAGE022
representing the number of the operating characteristic data smaller than a standard value;e=2.718。
specifically, the first time of the video image acquisition device is judged according to a matching relation table of the pre-established construction project and the video image acquisition device in different construction periodshWhether the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data or not is judged, and if the serial number of the video image acquisition device is matched in the list corresponding to the current construction period of the construction project, the video image acquisition device is shown as the matching data of the construction project which requests the uploading of the video image monitoring data; otherwise, the video image acquisition device is not the matched data of the construction project which requests to upload the video image monitoring data; if the address of the video image acquisition device is matched in the list corresponding to the current construction period of the construction project, the video image acquisition device indicates that the video image acquisition device requests to upload the matched data of the construction project of the video image monitoring data; otherwise, the video image acquisition device is not the matching data of the construction project which requests to upload the video image monitoring data.
And step S3, comparing the reliability value of the video image monitoring data uploaded by the video image acquisition device with a preset threshold value, if the reliability value is greater than the preset threshold value, allowing the video image acquisition device to upload the video image monitoring data through a preset data transmission link, otherwise, forbidding to upload the video image monitoring data, and immediately sending an alarm signal.
The video image acquisition device uploads the video image monitoring data of a construction site to a construction project cycle of the total video monitoring center corresponding to the request of uploading the video image monitoring data through a preset communication link.
And step S4, according to the timeliness requirements of the different types of video image monitoring data, acquiring security type video image monitoring data, project progress type video image monitoring data and quality type video image monitoring data in the video image monitoring data through data transmission links with different transmission priorities.
Specifically, the security video image monitoring data in the video image monitoring data is obtained through a first-level data transmission link with the highest priority; and acquiring quality video image monitoring data through a third-level data transmission link with the lowest priority, and acquiring project progress video image monitoring data through a second-level data transmission link with the priority between the first-level data transmission link and the third-level data transmission link.
The first-level data transmission link with the highest priority transmits data in real time; in the same time period, the second-level data transmission link transmits video image monitoring data first, and the third-level data transmission link transmits video image monitoring data later.
Preferably, a first sub-processor of the video image data sub-processor acquires the security video image monitoring data through a first-level data transmission link; detecting danger alarm data in the safety video image monitoring data; a second sub-processor of the video image data sub-processor acquires project progress video image monitoring data through a second-level data transmission link and extracts project progress parameters; and a third sub-processor of the video image data sub-processor acquires quality video image monitoring data through a third-level data transmission link and acquires abnormal defect data. And the first sub-processor, the second sub-processor and the third sub-processor all send the acquired data to the master video monitoring center and store the data.
And step S5, inputting the safety video image monitoring data into a pre-established danger alarm detection model, acquiring danger alarm data and sending out a danger alarm.
Step S5 includes the following steps:
step S510, extracting image frames in the security video image monitoring data at certain time intervals. For example: the image frames are extracted once at intervals 2S, 4S, or 6S.
Step S520, inputting the extracted image frame into a pre-established danger alarm detection model, and acquiring danger alarm data.
Step S530, according to the position data and the danger alarm type in the acquired danger alarm data, an alarm signal is sent out by an alarm system closest to the danger position. And sending an alarm signal to a safety supervision terminal so that safety supervision personnel can acquire the alarm signal to carry out safety supervision.
Specifically, the method for pre-establishing the hazard alarm detection model comprises the following steps:
and step T1, acquiring a danger alarm training data set.
Specifically, the hazard alarm training dataset comprises: human body images with various angles and human head portraits without wearing safety helmets with various angles.
And step T2, inputting the danger alarm training data set into the neural network basic model for training to obtain a danger alarm detection model. The danger alarm detection model is used for detecting whether personnel break into a dangerous area or whether personnel without wearing safety helmets exist in a construction site.
As a specific embodiment of the invention, the method collects safety video image monitoring data of key risk areas such as full-line key structure bridges (manual hole digging piles), tunnels, cutting high slopes, mixing stations, steel bar processing plants, beam yards, beam transporting vehicles, tower crane operation and bridge girder erection machines and the like, and implements remote safety supervision means.
As a specific embodiment of the invention, the core dangerous area is monitored in real time, and whether a person intrudes is judged based on a human body identification technology; identity information can be further judged by combining with face recognition, a white list face library is defined in advance, and when an intruder is not in the white list, an alarm is given.
As a specific embodiment of the present invention, according to the range of the dangerous area, intercepting a key image in the range of the dangerous area in an image frame, detecting whether a human body image exists in the key image, if yes, marking the human body image red, and sending an alarm; otherwise, continuing to detect; and detecting whether the key image has a human head portrait without wearing a safety helmet, if so, sending an alarm, and otherwise, continuing the detection.
The safety video image monitoring data adopts fixed video image acquisition devices, and each fixed video image acquisition device is provided with a fixed address and a fixed virtual local area network. The video image acquisition device acquires the safety video image monitoring data and uploads the safety video image monitoring data to the main video monitoring center through the first-stage data transmission link.
And step S6, acquiring project progress parameters according to the project progress video image monitoring data, and acquiring construction equipment operation data corresponding to the project progress.
The project progress video image monitoring data are acquired by a mobile image acquisition device, the mobile image acquisition device can be installed on different construction equipment, and the different construction equipment acquires the video image data of construction through the mobile image acquisition device installed on the different construction equipment. The project progress video image monitoring data comprises the geographic position, the acquisition time and the video image of the currently acquired video image.
The project schedule parameters include: the construction width, the construction length, the construction height and/or the like from the beginning of construction to the completion of the current time. The construction width and the construction length can be obtained according to the change of the geographic position of the collected video image, and the construction height can be obtained according to the size change condition of the construction object in the video image.
The projects have different construction types, and the construction types comprise road construction, tunnel construction, bridge construction and the like.
And step S7, calculating the prediction deviation value of the current construction process according to the project progress parameter, the project progress standard table and the construction equipment operation data.
The sensor data acquisition device acquires the operation data of the construction equipment and uploads the operation data of the construction equipment to the main video monitoring center. Each sensor data acquisition device has a fixed address and a fixed virtual local area network.
Wherein, construction equipment operation data includes key construction data and the adverse effect data of environment: the key construction data comprises running speed, construction power, compaction pressure and the like; the data of the adverse environmental influence comprise environmental air quantity, environmental rainfall, environmental temperature, equipment water level, environmental brightness and the like.
Specifically, the calculation formula of the prediction deviation value of the current construction project is as follows:
Figure 662746DEST_PATH_IMAGE023
；
wherein,
Figure 870874DEST_PATH_IMAGE024
representing the prediction deviation value of the current construction project;
Figure 574387DEST_PATH_IMAGE025
a deviation factor representing the acquired project progress parameter;
Figure 260584DEST_PATH_IMAGE026
representing the total category quantity of project progress parameters of the current construction project;
Figure 995803DEST_PATH_IMAGE027
to show the current construction project
Figure 374832DEST_PATH_IMAGE028
Weight of category project progress parameter;
Figure 565641DEST_PATH_IMAGE029
is shown as
Figure 321108DEST_PATH_IMAGE028
A planned completion value of the category project progress parameter;
Figure 648184DEST_PATH_IMAGE030
is shown as
Figure 198114DEST_PATH_IMAGE028
Actual completion values of category project progress parameters;
Figure 876220DEST_PATH_IMAGE031
representing the influence weight of the project progress parameters of the current construction project on the deviation value;
Figure 169798DEST_PATH_IMAGE032
representing the influence weight of the operation data of the construction equipment on the deviation value;
Figure 616960DEST_PATH_IMAGE031
and
Figure 72212DEST_PATH_IMAGE032
the sum is 1;
Figure 972035DEST_PATH_IMAGE033
representing the total amount of construction equipment;
Figure 69304DEST_PATH_IMAGE034
is shown as
Figure 636552DEST_PATH_IMAGE035
The influence weight of the operation data of the construction equipment on the deviation value is generated; the sum of the influence weights of all the construction equipment on the deviation value is 1;
Figure 262705DEST_PATH_IMAGE036
representing the influence value of the key construction data on the construction progress;
Figure 915403DEST_PATH_IMAGE037
representing the influence value of the environment severe influence data on the construction progress;
Figure 550784DEST_PATH_IMAGE036
and
Figure 706959DEST_PATH_IMAGE037
the sum is 1;
Figure 504013DEST_PATH_IMAGE038
is shown as
Figure 644008DEST_PATH_IMAGE039
Planting the total number of types of key construction data of construction equipment;
Figure 817500DEST_PATH_IMAGE040
is shown as
Figure 93761DEST_PATH_IMAGE039
Construction equipment
Figure 327296DEST_PATH_IMAGE041
The influence weight of the key construction data is planted;
Figure 689007DEST_PATH_IMAGE042
is shown as
Figure 666190DEST_PATH_IMAGE039
Construction equipment
Figure 796957DEST_PATH_IMAGE041
Planting actual measurement values of key construction data;
Figure 201394DEST_PATH_IMAGE043
is shown as
Figure 50401DEST_PATH_IMAGE039
Construction equipment
Figure 565696DEST_PATH_IMAGE041
A suggested value of the key construction data is planted;
Figure 550970DEST_PATH_IMAGE044
is shown as
Figure 126308DEST_PATH_IMAGE039
The total category number of the data influenced by the severe environment of the construction equipment;
Figure 462611DEST_PATH_IMAGE045
is shown as
Figure 781597DEST_PATH_IMAGE039
Construction equipment
Figure 886956DEST_PATH_IMAGE046
Influence weight of the adverse influence data of the seed environment;
Figure 367616DEST_PATH_IMAGE047
is shown as
Figure 194145DEST_PATH_IMAGE039
Construction equipment
Figure 316822DEST_PATH_IMAGE046
The measured value of the adverse influence data of the seed environment;
Figure 276688DEST_PATH_IMAGE048
is shown as
Figure 928249DEST_PATH_IMAGE039
Construction equipment
Figure 239145DEST_PATH_IMAGE046
An optimal value of environmental adverse effect data;
Figure 899933DEST_PATH_IMAGE049
represents the acquisition of
Figure 714305DEST_PATH_IMAGE039
Construction equipment
Figure 67926DEST_PATH_IMAGE041
Planting deviation factors of the key construction data;
Figure 334960DEST_PATH_IMAGE050
represents the acquisition of
Figure 799439DEST_PATH_IMAGE039
Construction equipment
Figure 468318DEST_PATH_IMAGE046
The seed environment adversely affects the bias factor of the data.
And step S8, comparing the prediction deviation value of the current construction process with a preset allowable deviation value, if the prediction deviation value of the current construction process is smaller than the preset allowable deviation value, sending a signal that the construction process is not required to be adjusted, otherwise, sending an alarm signal that the construction process is required to be adjusted.
Specifically, the adjustment of the construction process comprises checking a project with a slow construction process progress and adding construction equipment to accelerate the construction progress.
Step S9, inputting the quality video image monitoring data into the pre-established abnormal defect detection model to obtain the abnormal defect data.
Specifically, step S9 includes the following sub-steps:
in step S910, a quality detection image frame in the quality-type video image monitoring data is extracted.
Step S920, inputting the quality detection image frame into a pre-established abnormal defect detection model for detection, and obtaining abnormal defect data.
Specifically, the method for establishing the abnormal defect detection model in advance comprises the following steps:
and G1, acquiring an abnormal defect training data set.
Specifically, the abnormal defect training data set includes: abnormal defect images of multiple angles and classes.
And G2, inputting the abnormal defect training data set into the neural network basic model for training to obtain an abnormal defect detection model.
As a specific embodiment of the present invention, both the abnormal defect detection model and the hazard detection model are pre-constructed by using the existing technology.
And step S10, displaying the obtained current project progress video image monitoring data, the danger alarm image and the abnormal defect data on different display windows.
As a specific embodiment of the present invention, the general video monitoring center responds to the request for obtaining the engineering project monitoring data, pops up the authentication dialog box, obtains the authentication data in the authentication dialog box, and determines whether the obtained authentication data conforms to the authorization data, if so, the general video monitoring center allows access to the corresponding engineering project monitoring data, otherwise, the general video monitoring center prohibits access to the corresponding engineering project monitoring data.
As a specific embodiment of the present invention, a project cycle category of a project monitoring data requested by a user is acquired, an identity authentication dialog box of the project cycle category is popped up, authentication data of the project cycle category identity authentication dialog box input by the user is acquired, whether the acquired authentication data conforms to authorization data of the project cycle category is judged, if yes, access to the monitoring data of the project cycle category is allowed, otherwise, access to the monitoring data of the project cycle category is prohibited. The general video monitoring center stores authorization data.
As a specific embodiment of the present invention, the authentication data includes a user name, a user key, and/or a password, and the like.
The beneficial effect that this application realized is as follows:
(1) according to the method and the system, remote video monitoring is adopted, so that managers can acquire site video monitoring data in real time, monitor the working condition of a construction working face, the construction progress and the construction safety and quality condition of each construction site, and give an alarm to dangerous events.
(2) The reliability of the video images collected by the video image collecting device is calculated, when the reliability value meets the preset requirement, the uploading of the video image monitoring data to the general video monitoring center is allowed, otherwise, the uploading of the video image monitoring data is forbidden, so that the quality of the video image monitoring data obtained by the general video monitoring center is improved, the video monitoring effect is further improved, and the accuracy of the video monitoring data analysis result is improved.
(3) The method and the device for authenticating the identity of the personnel acquiring the data of the video monitoring center prevent the loss of the engineering data of the video monitoring center and ensure the safety of the engineering data.
The above description is only an embodiment of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (7)

1. A video surveillance system, the system comprising:
the video image acquisition device is used for acquiring video image monitoring data and sending a request for uploading the video image monitoring data to the general video monitoring center;
the main video monitoring center is used for responding to the request of uploading the video image monitoring data and judging whether the uploading of the video image monitoring data is allowed, if so, the uploading of the video image monitoring data is allowed, and otherwise, the uploading of the video image monitoring data is forbidden;
the video image data subprocessor is used for acquiring safety video image monitoring data and project progress video image monitoring data in the video image monitoring data through data transmission links with different transmission priorities according to the timeliness requirements of the different types of video image monitoring data;
the video image data sub-processor comprises a first sub-processor, and the first sub-processor is used for inputting the safety video image monitoring data into a pre-established danger alarm detection model, acquiring danger alarm data and sending out a danger alarm;
the video image display screen is used for displaying the danger alarm data and the project progress video image monitoring data;
wherein, total video surveillance center includes:
the second acquisition module is used for acquiring the attribute characteristic data and the operation characteristic data of the video image acquisition device sending the request and requesting to upload the construction project cycle of the video image monitoring data;
the second data processing unit is used for calculating the reliable value of the video image monitoring data uploaded by the video image acquisition device according to the attribute characteristic data and the operation data of the video image acquisition device and the construction project period of the video image monitoring data requested to be uploaded;
the second comparison module is used for comparing the reliable value of the video image monitoring data uploaded by the video image acquisition device with a preset threshold value, if the reliable value is larger than the preset threshold value, the video image acquisition device is allowed to upload the video image monitoring data through a preset data transmission link, otherwise, the uploading of the video image monitoring data is forbidden, and an alarm signal is immediately sent out;
the calculation formula of the reliable value of the video image monitoring data uploaded by the video image acquisition device is as follows:
Figure DEST_PATH_IMAGE001
；
wherein,
Figure 691810DEST_PATH_IMAGE002
representing a reliable value of the video image monitoring data uploaded by the video image acquisition device;Hrepresenting the total number of attribute characteristic data of the video image acquisition device;
Figure DEST_PATH_IMAGE003
to show video image capturing deviceshWhether the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data, if so, the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data
Figure 248693DEST_PATH_IMAGE003
Is 1, otherwise,
Figure 718989DEST_PATH_IMAGE003
is 0.1; n meterDisplaying the total category number of the operation characteristic data of the video image acquisition device;
Figure 183468DEST_PATH_IMAGE004
representing the weight of the operation characteristic data of the ith category of the video image acquisition device in the reliable value;
Figure DEST_PATH_IMAGE005
representing a deviation tolerance value of the collected ith category operation characteristic data;
Figure 321189DEST_PATH_IMAGE006
standard values representing the i-th category of operating characteristic data;
Figure DEST_PATH_IMAGE007
representing actual measured values which are smaller than standard values in the ith category of operation characteristic data;
Figure 235924DEST_PATH_IMAGE008
representing actual measured values which are greater than or equal to standard values in the ith category of operation characteristic data;
Figure DEST_PATH_IMAGE009
representing the number of the operation characteristic data which is larger than or equal to the standard value;
Figure 459095DEST_PATH_IMAGE010
representing the number of operating characteristic data that are smaller than the standard value.
2. The video surveillance system of claim 1, wherein the video image data sub-processor further comprises a second sub-processor, the second sub-processor comprising:
the first acquisition module is used for acquiring project progress parameters according to the project progress video image monitoring data and acquiring construction equipment operation data corresponding to the project progress;
the first data processing unit is used for calculating a prediction deviation value of the current construction process according to the project progress parameter, the project progress standard table and the construction equipment operation data;
and the first comparison module is used for comparing the prediction deviation value of the current construction process with the preset allowable deviation value, if the prediction deviation value of the current construction process is smaller than the preset allowable deviation value, a signal which does not need to be adjusted in the construction process is sent, and otherwise, an alarm signal which needs to be adjusted in the construction process is sent.
3. The video surveillance system of claim 1, wherein the video image data sub-processor further comprises a third sub-processor, the third sub-processor comprising:
the third acquisition module is used for acquiring quality video image monitoring data in the video image monitoring data;
and the abnormal defect detection module is used for inputting the quality video image monitoring data into a pre-established abnormal defect detection model to obtain the abnormal defect data.
4. The video surveillance system of claim 1, further comprising a sensor data collection device for collecting construction equipment operational data.
5. A monitoring method of a video monitoring system is characterized by comprising the following steps:
responding to a request for uploading video image monitoring data, judging whether the uploading of the video image monitoring data is allowed, if so, allowing the uploading of the video image monitoring data, and if not, forbidding the uploading of the video image monitoring data;
according to the timeliness requirements of different types of video image monitoring data, acquiring security type video image monitoring data and project progress type video image monitoring data in the video image monitoring data through data transmission links with different transmission priorities;
inputting the safety video image monitoring data into a pre-established danger alarm detection model, acquiring danger alarm data and sending out a danger alarm;
displaying danger alarm data and project progress video image monitoring data;
the method for judging whether to allow uploading of the video image monitoring data comprises the following steps:
acquiring attribute characteristic data and operation characteristic data of the video image acquisition device sending the request, and requesting to upload a construction project cycle of video image monitoring data;
calculating a reliable value of the video image monitoring data uploaded by the video image acquisition device according to the attribute characteristic data and the operation data of the video image acquisition device and the construction project period of the video image monitoring data requested to be uploaded by the video image acquisition device;
comparing the reliable value of the video image monitoring data uploaded by the video image acquisition device with a preset threshold value, if the reliable value is greater than the preset threshold value, allowing the video image acquisition device to upload the video image monitoring data through a preset data transmission link, otherwise, forbidding uploading the video image monitoring data, and immediately sending an alarm signal;
the calculation formula of the reliable value of the video image monitoring data uploaded by the video image acquisition device is as follows:
Figure DEST_PATH_IMAGE011
；
wherein,
Figure 930527DEST_PATH_IMAGE012
representing a reliable value of the video image monitoring data uploaded by the video image acquisition device;Hrepresenting the total number of attribute characteristic data of the video image acquisition device;
Figure 906443DEST_PATH_IMAGE003
to show video image capturing deviceshWhether the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data, if so, the attribute characteristic data is the matching data of the construction project which requests the uploading of the video image monitoring data
Figure DEST_PATH_IMAGE013
Is 1, otherwise,
Figure 805128DEST_PATH_IMAGE013
is 0.1; n represents the total category number of the operation characteristic data of the video image acquisition device;
Figure 515595DEST_PATH_IMAGE014
representing the weight of the operation characteristic data of the ith category of the video image acquisition device in the reliable value;
Figure DEST_PATH_IMAGE015
representing a deviation tolerance value of the collected ith category operation characteristic data;
Figure 525140DEST_PATH_IMAGE016
standard values representing the i-th category of operating characteristic data;
Figure DEST_PATH_IMAGE017
representing actual measured values which are smaller than standard values in the ith category of operation characteristic data;
Figure 886720DEST_PATH_IMAGE018
representing actual measured values which are greater than or equal to standard values in the ith category of operation characteristic data;
Figure DEST_PATH_IMAGE019
representing the number of the operation characteristic data which is larger than or equal to the standard value;
Figure 690728DEST_PATH_IMAGE020
representing the number of operating characteristic data that are smaller than the standard value.
6. The method of monitoring of a video surveillance system according to claim 5, further comprising the steps of:
acquiring project progress parameters according to the project progress video image monitoring data, and acquiring construction equipment operation data corresponding to the project progress;
calculating a prediction deviation value of the current construction process according to the project progress parameter, the project progress standard table and the construction equipment operation data;
and comparing the prediction deviation value of the current construction process with the preset allowable deviation value, if the prediction deviation value of the current construction process is smaller than the preset allowable deviation value, sending a signal that the construction process is not required to be adjusted, and otherwise, sending an alarm signal that the construction process is required to be adjusted.
7. The method of monitoring of a video surveillance system of claim 6, further comprising:
acquiring quality video image monitoring data in the video image monitoring data;
and inputting the quality video image monitoring data into a pre-established abnormal defect detection model to obtain abnormal defect data.
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