CN117437598B

CN117437598B - Intelligent protection system for construction safety of adjacent business line

Info

Publication number: CN117437598B
Application number: CN202311710174.2A
Authority: CN
Inventors: 郭永贞; 李鹏; 孙长乾; 曾书豪; 邓志鹏; 李凯奇; 吴承栩
Original assignee: Shandong Dalailong Railway Co ltd
Current assignee: Shandong Dalailong Railway Co ltd
Priority date: 2023-12-13
Filing date: 2023-12-13
Publication date: 2024-02-27
Anticipated expiration: 2043-12-13
Also published as: CN117437598A

Abstract

The application relates to an intelligent protection system for construction safety of an adjacent business line, which relates to the technical field of construction safety protection, and comprises a video monitoring device, a management analysis device and a monitoring and early warning device, wherein the management analysis device adopts a pre-configured video safety early warning analysis strategy to analyze and process monitoring video detection information acquired by the video monitoring device so as to form construction area safety early warning information and send the construction area safety early warning information to the monitoring and early warning device for execution; the video safety early warning analysis strategy comprises the following steps: acquiring monitoring video detection information; retrieving current monitoring detection information and historical monitoring detection information; analyzing and processing the history monitoring detection information to form history monitoring reference information; analyzing and acquiring deviation information between current monitoring detection information and historical monitoring reference information and taking the deviation information as monitoring detection deviation information; analyzing, processing and monitoring the detection deviation information to form construction area safety precaution information and outputting the construction area safety precaution information. The application has the effect of conveniently and timely carrying out safety protection on construction sites adjacent to business lines.

Description

Intelligent protection system for construction safety of adjacent business line

Technical Field

The application relates to the technical field of construction safety protection, in particular to an intelligent safety protection system for construction of an adjacent business line.

Background

With the development of society and the improvement of living standard of people, the travel demands of people are also increasingly improved, and the travel time can be shortened and the travel efficiency can be improved by adopting a railway travel mode, so that the construction of the existing railway line is required, and the transportation capacity of the railway is improved.

In the related art, construction safety protection refers to protection measures adopted for ensuring the safety of constructors in the construction process. At present, as more and more railway sites are under construction, the traffic density of railway lines is higher and higher, the construction is required to be carried out on the sites nearby the railways of the business lines, the railways of the business lines are not stopped, the railway lines of the railways are not completely closed in the process of railway construction, potential safety hazards such as out-of-range behaviors of construction operators or construction machines, illegal personnel invasion behaviors of railway line areas and crossing of railways by nearby villages are easy to occur, so that safety protection personnel are generally adopted to carry out staring control on the construction sites nearby the business lines in the process of carrying out construction safety protection on the construction sites nearby the business lines, and video monitoring equipment is installed on important sites of the construction sites to carry out real-time monitoring, thereby carrying out safety protection on the construction sites nearby the business lines.

With respect to the related art as described above, the applicant found the following drawbacks: in the process of construction safety protection on the railway nearby sites of the adjacent business lines, when safety protection personnel are adopted to stare at the control, a person is required to stare at multiple points due to the defect of hands, a monitoring blind area is easy to appear, and when video monitoring equipment is installed to conduct real-time monitoring, only real-time monitoring and postmortem responsibility can be conducted, timely alarming cannot be conducted, so that safety protection on the construction sites of the adjacent business lines is not easy to conduct timely.

Disclosure of Invention

In order to facilitate timely safety protection of construction sites adjacent to business lines, the application provides an intelligent safety protection system for construction adjacent to business lines.

In a first aspect, the present application provides an intelligent protection system for construction safety of an adjacent business line, which adopts the following technical scheme:

the intelligent protection system for construction safety of the adjacent business line comprises a video monitoring device, a management analysis device and a monitoring early warning device, wherein the video monitoring device is used for carrying out video monitoring on a construction site to obtain monitoring video detection information, the management analysis device is connected with the video monitoring device to receive the monitoring video detection information and adopts a pre-configured video safety early warning analysis strategy to carry out analysis processing so as to form construction area safety early warning information, and the monitoring early warning device is connected with the management analysis device to receive and execute the construction area safety early warning information;

The video safety early warning analysis strategy comprises the following steps:

acquiring monitoring video detection information;

according to the monitoring video detection information, current monitoring detection information and historical monitoring detection information corresponding to the monitoring video detection information are called;

analyzing the history monitoring detection information according to a preset history monitoring analysis method to form history monitoring reference information;

according to the current monitoring detection information and the historical monitoring reference information, analyzing and obtaining deviation information between the current monitoring detection information and the historical monitoring reference information and taking the deviation information as monitoring detection deviation information;

analyzing and processing the monitoring detection deviation information according to a preset detection deviation early warning and analyzing method to form construction area safety early warning information, and outputting the construction area safety early warning information.

By adopting the technical scheme, the management analysis device receives the monitoring video detection information and analyzes and processes the monitoring video detection information by adopting a pre-configured video safety early warning analysis strategy, so that the current monitoring detection information and the historical monitoring detection information are called by the monitoring video detection information, the historical monitoring detection information is analyzed and processed by the historical monitoring analysis method to form the historical monitoring reference information, the deviation information between the current monitoring detection information and the historical monitoring reference information is analyzed and obtained and used as the monitoring detection deviation information, the monitoring detection deviation information is analyzed and processed by the detection deviation early warning analysis method to form construction area safety early warning information and output construction area safety early warning information, and the management analysis device receives and executes the construction area safety early warning information so as to give an alarm in time, thereby facilitating the timely safety protection of construction sites adjacent business lines.

Optionally, the analyzing the history monitoring detection information according to the preset history monitoring analysis method to form the history monitoring reference information includes:

retrieving historical monitoring detection position points corresponding to the historical monitoring detection information and monitoring position historical detection information according to the historical monitoring detection information;

analyzing and acquiring detection device type information corresponding to the historical monitoring detection position points according to the corresponding relation between the historical monitoring detection position points and preset detection device type information;

analyzing and processing the historical monitoring detection position points and the type information of the detection device according to a preset type demand analysis method to form type range demand information;

analyzing the historical detection information of the monitoring position and the type range requirement information according to a preset detection position reference analysis method to form detection position reference information, and taking the detection position reference information as historical monitoring reference information.

By adopting the technical scheme, the historical monitoring detection position points and the monitoring position historical detection information are called through the historical monitoring detection information, the detection device type information is obtained through analysis of the historical monitoring detection position points, the type demand analysis method is used for analyzing and processing the historical monitoring detection position points and the detection device type information to form the type range demand information, the detection position reference analysis method is used for analyzing and processing the monitoring position historical detection information and the type range demand information to form the detection position reference information, and the detection position reference information is used as the historical monitoring reference information, so that the accuracy of the obtained monitoring position historical detection information is improved.

Optionally, the analyzing the historical monitoring detection position point and the detection device type information according to the preset type demand analysis method to form type range demand information includes:

calling a detection area reference position point corresponding to the historical monitoring detection position point according to the historical monitoring detection position point;

judging whether the historical monitoring detection position point is consistent with the reference position point of the detection area;

if yes, calling the reference position demand information corresponding to the reference position point of the detection area according to the reference position point of the detection area, and taking the reference position demand information as the type range demand information;

if not, analyzing and calculating a distance value between the history monitoring detection position point and the detection area reference position point according to the history monitoring detection position point and the detection area reference position point, and taking the distance value as a detection position distance deviation value;

and analyzing and acquiring distance deviation demand information according to a judging result of whether the distance deviation value of the detection position is larger than a preset distance reference deviation value, and taking the distance deviation demand information as category range demand information.

Through adopting above-mentioned technical scheme, retrieve the detection area reference position point through history control detection position point, and judge whether history control detection position point is unanimous with detection area reference position point, when inconsistent, retrieve reference position demand information and regard as kind scope demand information through detection area reference position point, when inconsistent, carry out analysis calculation and regard as detection position distance deviation value to the distance value between history control detection position point and the detection area reference position point, judge whether the result of judging that whether detection position distance deviation value is greater than preset distance reference deviation value carries out analysis acquisition and regard as kind scope demand information to distance deviation demand information, thereby improve the accuracy of kind scope demand information who obtains.

Optionally, according to a result of determining whether the detected position distance deviation value is greater than a preset distance reference deviation value, analyzing to obtain the distance deviation requirement information includes:

judging whether the distance deviation value of the detection position is larger than a preset distance reference deviation value or not;

if yes, outputting preset mobile monitoring demand information and taking the preset mobile monitoring demand information as distance deviation demand information;

if not, calling the reference position detection information corresponding to the reference position point of the detection area according to the reference position point of the detection area;

analyzing and acquiring the similarity between the monitoring position history detection information and the reference position detection information according to the monitoring position history detection information and the reference position detection information, and taking the similarity as the monitoring position detection similarity;

according to the corresponding relation between the detection similarity of the monitoring position and the preset detection similarity requirement information, analyzing and obtaining the detection similarity requirement information corresponding to the detection similarity of the monitoring position, and taking the detection similarity requirement information as distance deviation requirement information.

Through adopting above-mentioned technical scheme, whether through being greater than the distance benchmark deviation value of predetermineeing to the detected position distance deviation value, when being greater than, output the removal of predetermineeing and monitor the demand information and regard as distance deviation demand information, when not greater than, retrieve benchmark position detection information through detection area benchmark position point, acquire and regard as the detected position detection similarity through analyzing the similarity between the historical detection information of monitored position and the benchmark position detection information, acquire the detection similarity demand information and regard as distance deviation demand information through the analysis of the detected position detection similarity, thereby improve the accuracy of the distance deviation demand information who acquires.

Optionally, the analyzing the monitoring location history detection information and the category range requirement information according to the preset detection location reference analysis method to form detection location reference information includes:

retrieving image information of unit time corresponding to the monitoring position history detection information and image overall area information according to the monitoring position history detection information;

dividing the unit time image information into image areas corresponding to preset image reference area numerical values based on the unit time image information and taking the image areas as unit time reference area information;

according to the unit time reference area information, analyzing and acquiring the image area with the largest number of similarities among the unit time reference area information of the same reference area and taking the image area as unit time similarity area information;

combining the unit time similar region information corresponding to the image overall region information based on the image overall region information and the unit time similar region information and taking the combined image overall region information as overall region initial image information;

selecting unit time reference area information corresponding to the category range demand information based on the category range demand information and taking the unit time reference area information as the category demand reference area information;

and replacing the corresponding region in the overall region initial image information based on the category requirement reference region information to form overall region final image information, and taking the overall region final image information as detection position reference information.

By adopting the technical scheme, the unit time image information and the image overall area information are acquired through monitoring the position history detection information, the unit time image information is divided into the image areas corresponding to the preset image reference area values and used as the unit time reference area information, the image areas with the largest number of similarities among the unit time reference area information of the same reference area are obtained through analysis and used as the unit time similar area information, the unit time similar area information corresponding to the image overall area information is combined and used as the overall area initial image information, the unit time reference area information corresponding to the category range requirement information is selected and used as the category requirement reference area information, the corresponding area in the overall area initial image information is replaced to form the overall area final image information and used as the detection position reference information, and therefore the accuracy of the obtained detection position reference information is improved.

Optionally, the analyzing the monitoring detection deviation information according to the preset detection deviation early warning analysis method to form construction area safety early warning information includes:

According to the monitoring detection deviation information, the detection deviation area information and the detection deviation image information corresponding to the monitoring detection deviation information are called;

calling the type dangerous area information corresponding to the type range demand information according to the type range demand information;

judging whether the detection deviation area information is positioned in the type dangerous area information or not;

if yes, carrying out feature extraction based on the detected deviation image information to form deviation image feature information;

according to the deviation image characteristic information, characteristic type information corresponding to the deviation image characteristic information is called;

analyzing the characteristic type information and the detection deviation image information according to a preset characteristic type early-warning analysis method to form characteristic type early-warning information, and taking the characteristic type early-warning information as construction area safety early-warning information;

if not, analyzing and acquiring the current monitoring display information corresponding to the current monitoring detection information according to the corresponding relation between the current monitoring detection information and the preset current monitoring display information, and taking the current monitoring display information as construction area safety early warning information.

By adopting the technical scheme, the detection deviation area information and the detection deviation image information are acquired through monitoring the detection deviation information, the type dangerous area information is acquired through the type range requirement information, whether the detection deviation area information is located in the type dangerous area information or not is judged, when the detection deviation area information is located in the type dangerous area information, the detection deviation image information is subjected to characteristic extraction to form deviation image characteristic information, the characteristic type information is acquired through the deviation image characteristic information, the characteristic type information and the detection deviation image information are analyzed and processed through the characteristic type early warning analysis method to form characteristic type early warning information and serve as construction area safety early warning information, the current monitoring display information is acquired through the current monitoring detection information analysis and serves as construction area safety early warning information, and therefore the accuracy of the acquired construction area safety early warning information is improved.

Optionally, the analyzing the feature type information and the detection deviation image information according to the preset feature type early warning analysis method to form feature type early warning information includes:

judging whether the characteristic type information is preset mechanical equipment reference type information or not;

if yes, calling the mechanical equipment dangerous reference image information corresponding to the mechanical equipment reference type information according to the mechanical equipment reference type information;

according to the detection deviation image information and the mechanical equipment dangerous reference image information, analyzing and obtaining the similarity between the detection deviation image information and the mechanical equipment dangerous reference image information and taking the similarity as the detection deviation equipment dangerous similarity;

according to the corresponding relation between the detection deviation equipment dangerous similarity and the preset equipment dangerous early warning information, analyzing and obtaining the equipment dangerous early warning information corresponding to the detection deviation equipment dangerous similarity, and taking the equipment dangerous early warning information as characteristic type early warning information;

if not, outputting the preset early warning information of personnel in the dangerous area and taking the early warning information as characteristic type early warning information.

Through adopting above-mentioned technical scheme, judge through whether it is the mechanical equipment benchmark class information of predetermineeing to the characteristic class information, when being mechanical equipment benchmark class information, call mechanical equipment danger benchmark image information through mechanical equipment benchmark class information, acquire and regard as detecting deviation equipment danger similarity through detecting the similarity between deviation image information and the mechanical equipment danger benchmark image information, acquire equipment danger early warning information and regard as characteristic class early warning information through detecting deviation equipment danger similarity analysis, when not being mechanical equipment benchmark class information, output the dangerous regional personnel early warning information of predetermineeing and regard as characteristic class early warning information, thereby improve the accuracy of the characteristic class early warning information who acquires.

Optionally, the method further comprises the step of taking the current monitoring display information as construction area safety precaution information, and specifically comprises the following steps:

retrieving deviation area deviation position points corresponding to the detection deviation area information according to the detection deviation area information;

calling dangerous area boundary position points corresponding to the type dangerous area information according to the type dangerous area information;

according to the deviation position points of the deviation area and the boundary position points of the dangerous area, analyzing and calculating the distance values between the deviation position points of the deviation area and the boundary position points of the dangerous area and taking the distance values as the boundary distance values of the deviation position;

judging whether the boundary distance value of the deviation position is larger than a preset reference distance value of the boundary of the deviation position;

if yes, continuing to output the construction area safety early warning information;

if not, analyzing and acquiring deviation approaching pre-warning information corresponding to the deviation position boundary distance value according to the corresponding relation between the deviation position boundary distance value and the preset deviation approaching pre-warning information, and adding the deviation approaching pre-warning information into the construction area safety pre-warning information to form new construction area safety pre-warning information.

According to the technical scheme, deviation position points of a deviation area are called through detecting deviation area information, dangerous area boundary position points are called through category dangerous area information, then the distance value between the deviation position points of the deviation area and the dangerous area boundary position points is analyzed and calculated and used as a deviation position boundary distance value, whether the deviation position boundary distance value is larger than a preset deviation position boundary reference distance value is judged, when the deviation position boundary distance value is larger than the preset deviation position boundary reference distance value, construction area safety early warning information is continuously output, when the deviation position boundary distance value is not larger than the preset deviation position boundary reference distance value, deviation approaching early warning information is obtained through analysis of the deviation position boundary distance value, and the deviation approaching early warning information is added into construction area safety early warning information to form new construction area safety early warning information, so that accuracy of the obtained construction area safety early warning information is improved.

In summary, the present application includes at least one of the following beneficial technical effects:

1. the method comprises the steps of receiving monitoring video detection information through a management analysis device and analyzing and processing the monitoring video detection information by adopting a pre-configured video safety early warning analysis strategy, so that the current monitoring detection information and the historical monitoring detection information are called through the monitoring video detection information, the historical monitoring detection information is analyzed and processed through a historical monitoring analysis method to form historical monitoring reference information, then the deviation information between the current monitoring detection information and the historical monitoring reference information is analyzed and obtained and used as monitoring detection deviation information, the monitoring detection deviation information is analyzed and processed through a detection deviation early warning analysis method to form construction area safety early warning information, the construction area safety early warning information is output, and the management analysis device receives and executes the construction area safety early warning information, so that the construction area safety early warning information is timely warned, and safety protection is conveniently and timely carried out on construction sites adjacent to business lines;

2. the method comprises the steps of calling historical monitoring detection position points and monitoring position historical detection information through historical monitoring detection information, analyzing the historical monitoring detection position points to obtain detection device type information, analyzing the historical monitoring detection position points and the detection device type information through a type demand analysis method to form type range demand information, analyzing the monitoring position historical detection information and the type range demand information through a detection position reference analysis method to form detection position reference information, and taking the detection position reference information as historical monitoring reference information, so that the accuracy of the obtained monitoring position historical detection information is improved;

3. The method comprises the steps of calling a detection area reference position point through a history monitoring detection position point, judging whether the history monitoring detection position point is consistent with the detection area reference position point, calling reference position requirement information through the detection area reference position point and taking the reference position requirement information as category range requirement information when the history monitoring detection position point is inconsistent, analyzing and calculating a distance value between the history monitoring detection position point and the detection area reference position point and taking the distance value as a detection position distance deviation value, analyzing and obtaining the distance deviation requirement information and taking the distance deviation requirement information as the category range requirement information according to a judgment result of whether the detection position distance deviation value is larger than a preset distance reference deviation value when the detection position distance deviation value is inconsistent, and therefore accuracy of the obtained category range requirement information is improved.

Drawings

FIG. 1 is a system flow diagram of a near business line construction safety intelligent guard in accordance with an embodiment of the present application

Fig. 2 is a flowchart of a method for video security early warning analysis strategy according to an embodiment of the present application.

Fig. 3 is a flowchart of a method for analyzing history monitoring detection information according to a preset history monitoring analysis method to form history monitoring reference information according to an embodiment of the present application.

FIG. 4 is a flowchart of a method for analyzing the historical monitoring detection location points and the detection device type information according to a preset type demand analysis method to form type range demand information according to an embodiment of the present application.

Fig. 5 is a flowchart of a method for analyzing and obtaining distance deviation requirement information according to a determination result of whether a detected position distance deviation value is greater than a preset distance reference deviation value in an embodiment of the present application.

Fig. 6 is a flowchart of a method for analyzing monitoring location history detection information and category range requirement information according to a preset detection location reference analysis method to form detection location reference information according to an embodiment of the present application.

Fig. 7 is a flowchart of a method for analyzing monitoring detection deviation information to form construction area safety precaution information according to a preset detection deviation precaution analysis method in an embodiment of the present application.

Fig. 8 is a flowchart of a method for analyzing feature type information and detection deviation image information according to a preset feature type early warning analysis method to form feature type early warning information according to an embodiment of the present application.

Fig. 9 is a flowchart of a method of an embodiment of the present application after using current monitoring display information as construction area safety precaution information.

Reference numerals illustrate: 1. a video monitoring device; 2. a management analysis device; 3. monitoring and early warning device; 4. fixing a camera; 5. moving the cloth ball control machine; 6. an audible and visual alarm; 7. and monitoring the center display piece.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to fig. 1 to 9 and the embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The embodiment of the application discloses an intelligent protection system for construction safety of adjacent business lines.

Referring to fig. 1, the intelligent protection system for construction safety adjacent to a business line comprises a video monitoring device 1, a management analysis device 2 and a monitoring and early warning device 3, wherein the video monitoring device 1 is used for carrying out video monitoring on a construction site to obtain monitoring video detection information, the video monitoring device 1 comprises a fixed camera 4 which is fixedly installed on important sections such as a station, a branch area, a crossing, a bridge and culvert and the like of the construction site, and a mobile ball control machine 5 which is positioned in the construction site, and the construction site is monitored through the fixed camera 4 and the mobile ball control machine 5, so that the monitored blind area is reduced, and uninterrupted monitoring for 24 hours can be realized. The management analysis device 2 is connected with the video monitoring device 1 to receive the monitoring video detection information, the management analysis device 2 analyzes and processes the monitoring video detection information by adopting a pre-configured video safety early warning analysis strategy to form construction area safety early warning information, the monitoring early warning device 3 is connected with the management analysis device 2 to receive and execute the construction area safety early warning information, and the monitoring early warning device 3 comprises an audible and visual warning part 6 and a monitoring center display part 7 which are preset in the video monitoring device 1. The safety precaution information of the construction area is received and executed through the audible and visual alarm piece 6, so that personnel or machinery making dangerous actions in the construction site are prompted, and the safety precaution information of the construction area is received and executed through the monitoring center display piece 7, so that the manager is warned at the same time, and the safety protection of the construction site adjacent to the business line is facilitated in time.

Referring to fig. 2, the video security pre-alarm analysis strategy includes:

step S100: and acquiring monitoring video detection information.

The monitoring video detection information is video detection information obtained by monitoring the construction site, and the monitoring video detection information is obtained by detecting the video monitoring device 1.

Step S200: and calling current monitoring detection information and historical monitoring detection information corresponding to the monitoring video detection information according to the monitoring video detection information.

The current monitoring detection information refers to video detection information obtained by monitoring the construction site at the current time, and is obtained by inquiring a database storing the current monitoring detection information. The history monitoring detection information is video detection information obtained by monitoring the construction site at the history time, and the history monitoring detection information is obtained by inquiring a database storing the history monitoring detection information.

The current monitoring detection information and the historical monitoring detection information are called through the monitoring video detection information, so that the current monitoring detection information and the historical monitoring detection information can be conveniently used later.

Step S300: and analyzing and processing the history monitoring detection information according to a preset history monitoring analysis method to form history monitoring reference information.

The history monitoring reference information is reference image information formed when monitoring is performed on a construction site in a history time, the history monitoring analysis method is an analysis method for analyzing the history monitoring reference information, and the history monitoring analysis method is obtained by inquiring a database storing the history monitoring analysis method.

The history monitoring detection information is analyzed and processed through the history monitoring analysis method, so that history monitoring reference information is formed, and the history monitoring reference information is convenient to use subsequently.

Step S400: and analyzing and acquiring deviation information between the current monitoring detection information and the historical monitoring reference information according to the current monitoring detection information and the historical monitoring reference information, and taking the deviation information as monitoring detection deviation information.

Wherein the monitoring detection deviation information refers to deviation information between the reference image and the monitoring image for indicating the current time.

And analyzing and acquiring deviation information between the current monitoring detection information and the historical monitoring reference information through the current monitoring detection information and the historical monitoring reference information, and taking the deviation information between the current monitoring detection information and the historical monitoring reference information as monitoring detection deviation information, so that the follow-up use of the monitoring detection deviation information is convenient.

Step S500: analyzing and processing the monitoring detection deviation information according to a preset detection deviation early warning and analyzing method to form construction area safety early warning information, and outputting the construction area safety early warning information.

The construction area safety early warning information is information for indicating safety early warning of a dangerous area in a construction site in the current time, the detection deviation early warning analysis method is an analysis method for analyzing the construction area safety early warning information, and the detection deviation early warning analysis method is obtained by inquiring a database storing the detection deviation early warning analysis method.

The monitoring and detecting deviation information is analyzed and processed through the detecting deviation early warning analysis method to form construction area safety early warning information, and the construction area safety early warning information is output, so that the monitoring and early warning device 3 receives and executes the construction area safety early warning information, and accordingly personnel and management personnel in dangerous areas of a construction site are early warned, and further safety protection is conveniently and timely carried out on the construction site adjacent to a business line.

In step S300 shown in fig. 2, in order to further secure the rationality of the history monitoring reference information, further individual analysis calculation of the history monitoring reference information is required, specifically, the steps shown in fig. 3 are described in detail.

Referring to fig. 3, according to a preset history monitoring analysis method, to analyze the history monitoring detection information to form history monitoring reference information includes the steps of:

step S310: and retrieving historical monitoring detection position points corresponding to the historical monitoring detection information according to the historical monitoring detection information and monitoring position historical detection information.

The historical monitoring detection position points are position points where the monitoring device is located when the construction site is monitored in historical time to acquire detection videos, and the historical monitoring detection position points are obtained by inquiring a database storing the historical monitoring detection position points. The monitoring position history detection information is historical time detection information for indicating detection of the monitoring position point, and the monitoring position history detection information is obtained by inquiring from a database storing the monitoring position history detection information.

The historical monitoring detection information is used for calling the historical monitoring detection position points and the historical monitoring position detection information, so that the historical monitoring detection position points and the historical monitoring position detection information can be conveniently used later.

Step S320: and analyzing and acquiring the detection device type information corresponding to the historical monitoring detection position point according to the corresponding relation between the historical monitoring detection position point and the preset detection device type information.

The detection device type information is information indicating the type of the device of the video surveillance device 1, and is obtained by searching a database storing the detection device type information.

The detection device type information is obtained through analysis of the historical monitoring detection position points, so that the detection device type information can be conveniently used subsequently.

Step S330: according to a preset category requirement analysis method, the category information of the historical monitoring detection position points and the detection device is analyzed and processed to form category range requirement information.

The category requirement information is information indicating a dangerous range requirement that can be monitored by the type of the device of the video monitoring apparatus 1, and the category requirement analysis method is an analysis method for analyzing the category requirement information, and the category requirement analysis method is obtained by querying from a database storing the category requirement analysis method.

The type demand analysis method is used for analyzing and processing the historical monitoring detection position points and the type information of the detection device, so that the type range demand information is formed, and the type range demand information is convenient to use subsequently.

Step S340: analyzing the historical detection information of the monitoring position and the type range requirement information according to a preset detection position reference analysis method to form detection position reference information, and taking the detection position reference information as historical monitoring reference information.

The detection position reference information is reference information for indicating that the position where the video monitoring apparatus 1 is located is detected in the history time for comparison, the detection position reference analysis method is an analysis method for analyzing the detection position reference information, and the detection position reference analysis method is obtained by querying from a database storing the detection position reference analysis method.

The monitoring position historical detection information and the type range demand information are analyzed and processed through the detection position reference analysis method, so that detection position reference information is formed, the detection position reference information is used as historical monitoring reference information, the acquired monitoring position historical detection information is affected by the type of the detection device, and the accuracy of the acquired monitoring position historical detection information is improved.

In step S330 shown in fig. 3, in order to further ensure the rationality of the category range requirement information, further individual analysis calculation of the category range requirement information is required, and specifically, the detailed description will be given by the steps shown in fig. 4.

Referring to fig. 4, according to a preset category requirement analysis method, the method for analyzing the historical monitoring detection position point and the category information of the detection device to form category range requirement information includes the following steps:

Step S331: and calling the reference position point of the detection area corresponding to the historical monitoring detection position point according to the historical monitoring detection position point.

The detection area reference position points are reference position points for indicating fixed monitoring detection in a detection area where the historical monitoring detection position points are located, and the detection area reference position points are obtained by inquiring a database storing the detection area reference position points.

The reference position point of the detection area is called through the historical monitoring detection position point, so that the subsequent use of the reference position point of the detection area is facilitated.

Step S332: and judging whether the historical monitoring detection position point is consistent with the detection area reference position point. If yes, go to step S333; if not, step S334 is performed.

And judging whether the historical monitoring detection position point is the reference position point of the fixed monitoring detection or not by judging whether the historical monitoring detection position point is consistent with the reference position point of the detection area or not.

Step S333: and calling the reference position requirement information corresponding to the reference position point of the detection area according to the reference position point of the detection area, and taking the reference position requirement information as the category range requirement information.

The reference position demand information is information indicating a dangerous range demand for monitoring the type of the video monitoring apparatus 1 of the reference position, and is obtained by searching a database storing the reference position demand information.

When the historical monitoring detection position point is consistent with the detection area reference position point, the historical monitoring detection position point is the reference position point of the fixed monitoring detection, so that the reference position demand information is called through the detection area reference position point, the reference position demand information is used as the type range demand information, and the accuracy of the obtained type range demand information is improved.

Step S334: and according to the historical monitoring detection position point and the detection area reference position point, analyzing and calculating a distance value between the historical monitoring detection position point and the detection area reference position point and taking the distance value as a detection position distance deviation value.

The detected position distance deviation value is a distance value for indicating a distance between the history monitoring detected position point and the reference position.

When the historical monitoring detection position point is inconsistent with the detection area reference position point, the fact that the historical monitoring detection position point is not the reference position point of fixed monitoring detection is indicated, so that the distance value between the historical monitoring detection position point and the detection area reference position point is analyzed and calculated through the historical monitoring detection position point and the detection area reference position point, and the distance value between the historical monitoring detection position point and the detection area reference position point is used as a detection position distance deviation value, and therefore follow-up use of the detection position distance deviation value is facilitated.

Step S335: and analyzing and acquiring distance deviation demand information according to a judging result of whether the distance deviation value of the detection position is larger than a preset distance reference deviation value, and taking the distance deviation demand information as category range demand information.

The distance reference deviation value is a reference deviation value which is used for indicating that the distance deviation between the historical monitoring detection position point and the reference position can be tolerated, and the distance reference deviation value is obtained by inquiring a database storing the distance reference deviation value. The distance deviation requirement information is information indicating a requirement for monitoring a dangerous range due to the distance deviation.

And analyzing and acquiring the distance deviation demand information by detecting whether the position distance deviation value is larger than a judgment result of a preset distance reference deviation value, and taking the distance deviation demand information as the type range demand information, thereby improving the accuracy of the acquired type range demand information.

In step S335 shown in fig. 4, in order to further secure the rationality of the distance deviation demand information, further individual analysis calculation of the distance deviation demand information is required, specifically, the detailed description will be given by the steps shown in fig. 5.

Referring to fig. 5, according to a determination result of whether the detected position distance deviation value is greater than a preset distance reference deviation value, analyzing and acquiring distance deviation requirement information includes the following steps:

Step S3351: and judging whether the distance deviation value of the detection position is larger than a preset distance reference deviation value. If yes, go to step S3352; if not, step S3353 is performed.

By determining whether the detected position distance deviation value is greater than the preset distance reference deviation value, it is determined whether the detectable range of the video monitoring device 1 corresponding to the historical monitoring detected position point coincides with the detectable range of the video monitoring device 1 corresponding to the detected region reference position point.

Step S3352: and outputting preset mobile monitoring requirement information and taking the preset mobile monitoring requirement information as distance deviation requirement information.

The mobile monitoring requirement information refers to information required for monitoring a dangerous range when the mobile ball control machine 5 monitors. The mobile monitoring requirement information is inquired and obtained from a database storing the mobile monitoring requirement information.

When the detected position distance deviation value is greater than the preset distance reference deviation value, it is indicated that the detectable range of the video monitoring device 1 corresponding to the historical monitoring detected position point at this time does not coincide with the detectable range of the video monitoring device 1 corresponding to the detected area reference position point, so that the preset mobile monitoring requirement information is output and used as the distance deviation requirement information, and the accuracy of the acquired distance deviation requirement information is improved.

Step S3353: and calling the reference position detection information corresponding to the reference position point of the detection area according to the reference position point of the detection area.

The reference position detection information is detection information detected by the video monitoring device 1 for indicating a reference position point of the detection area, and the reference position detection information is obtained by searching a database storing the reference position detection information.

When the detected position distance deviation value is not greater than the preset distance reference deviation value, it is indicated that the detectable range of the video monitoring device 1 corresponding to the historical monitoring detected position point coincides with the detectable range of the video monitoring device 1 corresponding to the detected region reference position point at this time, so that the reference position detection information is retrieved through the detected region reference position point, thereby facilitating the subsequent use of the reference position detection information.

Step S3354: and analyzing and acquiring the similarity between the monitoring position history detection information and the reference position detection information according to the monitoring position history detection information and the reference position detection information, and taking the similarity as the monitoring position detection similarity.

The monitoring position detection information is used for detecting the monitoring position of the user, and the monitoring position detection information is used for detecting the reference position of the user.

Step S3355: according to the corresponding relation between the detection similarity of the monitoring position and the preset detection similarity requirement information, analyzing and obtaining the detection similarity requirement information corresponding to the detection similarity of the monitoring position, and taking the detection similarity requirement information as distance deviation requirement information.

The detection similarity requirement information is information for indicating the requirement of the monitoring dangerous range generated according to the detection similarity, and the detection similarity requirement information is obtained by inquiring a database storing the detection similarity requirement information.

And obtaining detection similarity demand information through monitoring position detection similarity analysis, and taking the detection similarity demand information as distance deviation demand information, so that the accuracy of the obtained distance deviation demand information is improved.

In step S340 shown in fig. 3, in order to further secure the rationality of the detected position reference information, further individual analysis calculation of the detected position reference information is required, and specifically, the detailed description will be given by the steps shown in fig. 6.

Referring to fig. 6, according to a preset detection position reference analysis method, the analysis processing of the monitoring position history detection information and the category range requirement information to form detection position reference information includes the following steps:

Step S341: and calling the image information of unit time corresponding to the monitoring position history detection information according to the monitoring position history detection information and the image overall area information.

The unit time image information refers to image information in the monitoring detection video in unit time, and the unit time image information is inquired and obtained from a database storing the unit time image information. The image total area information is information indicating the size of the total area corresponding to the image in the monitoring detection video in unit time, and is obtained by inquiring the database storing the image total area information.

The unit time image information and the image total area information are called through monitoring the position history detection information, so that the unit time image information and the image total area information can be conveniently used later.

Step S342: based on the unit time image information, dividing the unit time image information into image areas corresponding to the preset image reference area number values and taking the image areas as unit time reference area information.

The image reference area number refers to a reference number of the size of an area required for dividing an image, and the image reference area number is obtained by inquiring a database storing the image reference area number. The unit time reference region information is reference region information of a region size required for dividing an image.

The unit time image information is divided into the image areas corresponding to the preset image reference area number values and used as the unit time reference area information, so that the unit time reference area information can be conveniently used later.

Step S343: and analyzing and acquiring the image area with the maximum number of similarities among the unit time reference area information of the same reference area according to the unit time reference area information, and taking the image area as the unit time similarity area information.

The unit time similar region information is region information for indicating that the same reference region in a plurality of different unit times has similarity, and the image region with the largest similarity among the unit time reference region information of the same reference region is obtained through analysis and is used as the unit time similar region information, so that the unit time similar region information is convenient to use subsequently.

Step S344: and merging the unit time similar area information corresponding to the image overall area information based on the image overall area information and the unit time similar area information, and taking the integrated image overall area information as overall area initial image information.

The overall area initial image information is initial image information used for indicating the formation of the overall area under the size, the unit time similar area information corresponding to the image overall area information is combined through the image overall area information and the unit time similar area information, and the combined image information is used as the overall area initial image information, so that the subsequent use of the overall area initial image information is convenient.

Step S345: and selecting unit time reference area information corresponding to the category range requirement information based on the category range requirement information and taking the unit time reference area information as the category requirement reference area information.

The category requirement reference area information is reference area information corresponding to category requirement information, and the unit time reference area information corresponding to the category requirement information is selected and used as the category requirement reference area information, so that the category requirement reference area information is convenient to use subsequently.

Step S346: and replacing the corresponding region in the overall region initial image information based on the category requirement reference region information to form overall region final image information, and taking the overall region final image information as detection position reference information.

The general area final image information is final image information used for indicating the size of the general area, the corresponding area in the general area initial image information is replaced by the type requirement reference area information to form general area final image information, and the general area final image information is used as detection position reference information, so that the acquired detection position reference information is influenced by the type range requirement information, and the accuracy of the acquired detection position reference information is improved.

In step S500 shown in fig. 2, in order to further ensure the rationality of the construction area safety warning information, further separate analysis and calculation of the construction area safety warning information is required, and specifically, the detailed description will be given by the steps shown in fig. 7.

Referring to fig. 7, according to a preset detection deviation early warning analysis method, the method for analyzing the monitoring detection deviation information to form construction area safety early warning information includes the following steps:

step S510: and calling the detection deviation area information and the detection deviation image information corresponding to the monitoring detection deviation information according to the monitoring detection deviation information.

The detection deviation area information is area information corresponding to the detection deviation, and the detection deviation area information is obtained by inquiring a database storing the detection deviation area information. The detected deviation image information is deviation image information indicating that a deviation exists in the detection, and the detected deviation image information is obtained by searching a database storing the detected deviation image information.

The detection deviation information is monitored to retrieve the detection deviation area information and the detection deviation image information, so that the detection deviation area information and the detection deviation image information are convenient to use subsequently.

Step S520: and calling the category dangerous area information corresponding to the category range demand information according to the category range demand information.

The type dangerous area information refers to area information corresponding to type range requirement information, and the type dangerous area information is obtained by inquiring a database storing the type dangerous area information.

The type dangerous area information is called through the type range demand information, so that the type dangerous area information is convenient to use subsequently.

Step S530: and judging whether the detection deviation area information is positioned in the type dangerous area information. If yes, go to step S540; if not, step S570 is performed.

And judging whether the detection deviation area information is positioned in the type dangerous area information or not, so as to judge whether the area with the detection deviation is positioned in the dangerous area or not.

Step S540: feature extraction is performed based on the detected deviation image information to form deviation image feature information.

The deviation image characteristic information is characteristic information in the image for indicating that the deviation exists in the detection.

When the detection deviation area information is located in the type dangerous area information, the detection deviation area information indicates that the area with the deviation is located in the dangerous area, so that the detection deviation image information is subjected to characteristic extraction to form deviation image characteristic information, and the follow-up use of the deviation image characteristic information is facilitated.

Step S550: and calling feature type information corresponding to the deviation image feature information according to the deviation image feature information.

The feature type information is information indicating a feature type in the image when the detection deviation exists, and the feature type information is obtained by searching a database storing the feature type information.

Feature type information is retrieved through deviation image feature information, so that the feature type information can be conveniently used later.

Step S560: and analyzing the characteristic type information and the detection deviation image information according to a preset characteristic type early-warning analysis method to form characteristic type early-warning information, and taking the characteristic type early-warning information as construction area safety early-warning information.

The characteristic type early warning information is information for carrying out early warning according to characteristic types, the characteristic type early warning analysis method is an analysis method for analyzing the characteristic type early warning information, and the characteristic type early warning analysis method is obtained by inquiring a database storing the characteristic type early warning analysis method.

And analyzing and processing the characteristic type information and the detection deviation image information by using a characteristic type early warning analysis method so as to form characteristic type early warning information, and taking the characteristic type early warning information as construction area safety early warning information, thereby improving the accuracy of the acquired construction area safety early warning information.

Step S570: and analyzing and acquiring the current monitoring display information corresponding to the current monitoring detection information according to the corresponding relation between the current monitoring detection information and the preset current monitoring display information, and taking the current monitoring display information as construction area safety early warning information.

The current monitoring display information is display information for displaying detection information detected by monitoring the current time, and the current monitoring display information is obtained by inquiring a database storing the current monitoring display information.

When the detection deviation area information is not located in the type dangerous area information, the fact that the area with the deviation is located in the dangerous area is indicated, so that the current monitoring display information is obtained through analysis of the current monitoring detection information, the current monitoring display information is used as construction area safety early warning information, and accuracy of the obtained construction area safety early warning information is improved.

In step S560 shown in fig. 7, in order to further secure the rationality of the feature type early-warning information, further individual analysis calculation of the feature type early-warning information is required, and the detailed description will be made specifically by the steps shown in fig. 8.

Referring to fig. 8, the method for analyzing the feature type information and the detection deviation image information according to the preset feature type early warning analysis method to form feature type early warning information includes the following steps:

Step S561: and judging whether the characteristic type information is preset mechanical equipment reference type information or not. If yes, go to step S562; if not, step S565 is performed.

The machine reference type information is reference type information indicating that the type is a machine, and the machine reference type information is obtained by searching a database storing the machine reference type information.

And judging whether the characteristic type information is the preset mechanical equipment reference type information or not, so as to judge whether the characteristic type is the mechanical equipment or not.

Step S562: and calling the mechanical equipment dangerous reference image information corresponding to the mechanical equipment reference type information according to the mechanical equipment reference type information.

The mechanical equipment dangerous reference image information is reference image information corresponding to the mechanical equipment dangerous condition indication, and the mechanical equipment dangerous reference image information is obtained by inquiring a database storing the mechanical equipment dangerous reference image information.

When the characteristic type information is preset mechanical equipment reference type information, the characteristic type is the mechanical equipment, so that the mechanical equipment dangerous reference image information is called through the mechanical equipment reference type information, and the subsequent use of the mechanical equipment dangerous reference image information is facilitated.

Step S563: and analyzing and acquiring the similarity between the detection deviation image information and the mechanical equipment dangerous reference image information according to the detection deviation image information and the mechanical equipment dangerous reference image information, and taking the similarity as the detection deviation equipment dangerous similarity.

The similarity between the detection deviation image information and the mechanical equipment dangerous reference image information is analyzed and obtained, and the similarity between the detection deviation image information and the mechanical equipment dangerous reference image information is used as the detection deviation equipment dangerous similarity, so that the subsequent use of the detection deviation equipment dangerous similarity is facilitated.

Step S564: according to the corresponding relation between the detection deviation equipment dangerous similarity and the preset equipment dangerous early warning information, analyzing and obtaining the equipment dangerous early warning information corresponding to the detection deviation equipment dangerous similarity, and taking the equipment dangerous early warning information as characteristic type early warning information.

The equipment danger early warning information is early warning information for early warning the dangerous situation of the mechanical equipment, and the equipment danger early warning information is obtained by inquiring a database storing the equipment danger early warning information.

And acquiring equipment danger early-warning information through detecting deviation equipment danger similarity analysis, and taking the equipment danger early-warning information as characteristic type early-warning information, so that the accuracy of the acquired characteristic type early-warning information is improved.

Step S565: and outputting preset dangerous area personnel early warning information and taking the information as characteristic type early warning information.

The dangerous area personnel early warning information is early warning information for early warning people entering a dangerous area, and the dangerous area personnel early warning information is obtained by inquiring a database storing the dangerous area personnel early warning information.

When the characteristic type information is not the preset mechanical equipment reference type information, the characteristic type is not the mechanical equipment, so that the preset dangerous area personnel early warning information is output and used as the characteristic type early warning information, and the accuracy of the acquired characteristic type early warning information is improved.

After step S570 shown in fig. 7, in order to further ensure the rationality of the construction area safety warning information, further separate analysis and calculation of the construction area safety warning information is required, and specifically, the detailed description will be given by the steps shown in fig. 9.

Referring to fig. 9, the steps after taking the current monitoring display information as construction area safety precaution information include the steps of:

Step S571: and retrieving deviation position points of the deviation area corresponding to the detection deviation area information according to the detection deviation area information.

The deviation area deviation position points are position points where the deviation is located in the area where the deviation exists, and the deviation area deviation position points are obtained by inquiring a database storing the deviation area deviation position points.

And the deviation position points of the deviation area are called through detecting the deviation area information, so that the follow-up use of the deviation position points of the deviation area is convenient.

Step S572: and calling dangerous area boundary position points corresponding to the type dangerous area information according to the type dangerous area information.

The dangerous area boundary position points are position points used for indicating the boundary of the dangerous area, and the dangerous area boundary position points are obtained by inquiring a database storing the dangerous area boundary position points.

And the dangerous area boundary position points are called through the type dangerous area information, so that the subsequent use of the dangerous area boundary position points is convenient.

Step S573: and according to the deviation position points of the deviation area and the boundary position points of the dangerous area, analyzing and calculating the distance value between the deviation position points of the deviation area and the boundary position points of the dangerous area, and taking the distance value as the boundary distance value of the deviation position.

The deviation position boundary distance value is used for indicating a distance value between the deviation position and the boundary, the distance value between the deviation position point of the deviation area and the boundary position point of the dangerous area is analyzed and calculated through the deviation position point of the deviation area and the boundary position point of the dangerous area, and the distance value between the deviation position point of the deviation area and the boundary position point of the dangerous area is used as the deviation position boundary distance value, so that the subsequent use of the deviation position boundary distance value is facilitated.

Step S574: and judging whether the deviation position boundary distance value is larger than a preset deviation position boundary reference distance value. If yes, go to step S575; if not, step S576 is performed.

The deviation position boundary reference distance value is a reference distance value for indicating a deviation position and a boundary, and the deviation position boundary reference distance value is obtained by inquiring a database storing the deviation position boundary reference distance value.

And judging whether the deviation position boundary distance value is larger than a preset deviation position boundary reference distance value or not, so as to judge whether a larger distance exists between the deviation position and the boundary or not.

Step S575: and continuously outputting the safety early warning information of the construction area.

When the boundary distance value of the deviation position is larger than the preset reference distance value of the boundary of the deviation position, the fact that the deviation position has a larger distance from the boundary at the moment is indicated, and therefore safety early warning information of the construction area is continuously output.

Step S576: and analyzing and acquiring deviation approaching pre-warning information corresponding to the deviation position boundary distance value according to the corresponding relation between the deviation position boundary distance value and the preset deviation approaching pre-warning information, and adding the deviation approaching pre-warning information into the construction area safety pre-warning information to form new construction area safety pre-warning information.

The deviation approaching early warning information is early warning information for indicating that the deviation position approaches to the boundary to perform early warning, and the deviation approaching early warning information is obtained by inquiring a database storing the deviation approaching early warning information.

When the deviation position boundary distance value is larger than the preset deviation position boundary reference distance value, the fact that a larger distance exists between the deviation position and the boundary is indicated, so that deviation approaching early warning information is obtained through analysis of the deviation position boundary distance value, and the deviation approaching early warning information is added into construction area safety early warning information to form new construction area safety early warning information, and accuracy of the obtained construction area safety early warning information is improved.

The foregoing description of the preferred embodiments of the present application is not intended to limit the scope of the application, in which any feature disclosed in this specification (including abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. That is, each feature is one example only of a generic series of equivalent or similar features, unless expressly stated otherwise.

Claims

1. Adjacent business line construction safety intelligent protection system, its characterized in that: the system comprises a video monitoring device (1), a management analysis device (2) and a monitoring early warning device (3), wherein the video monitoring device (1) is used for carrying out video monitoring on a construction site to obtain monitoring video detection information, the management analysis device (2) is connected with the video monitoring device (1) to receive the monitoring video detection information and adopts a pre-configured video safety early warning analysis strategy to carry out analysis processing so as to form construction area safety early warning information, and the monitoring early warning device (3) is connected with the management analysis device (2) to receive and execute construction area safety early warning information;

the video safety early warning analysis strategy comprises the following steps:

acquiring monitoring video detection information;

analyzing and processing the monitoring detection deviation information according to a preset detection deviation early warning and analyzing method to form construction area safety early warning information, and outputting the construction area safety early warning information;

the step of analyzing the history monitoring detection information according to a preset history monitoring analysis method to form history monitoring reference information comprises the following steps:

Analyzing the historical detection information of the monitoring position and the type range requirement information according to a preset detection position reference analysis method to form detection position reference information, and taking the detection position reference information as historical monitoring reference information;

according to a preset category requirement analysis method, the method for analyzing the category information of the historical monitoring detection position point and the detection device to form category range requirement information comprises the following steps:

if so, calling the reference position requirement information corresponding to the reference position point of the detection area according to the reference position point of the detection area, and taking the reference position requirement information as category range requirement information, wherein the reference position requirement information is information for indicating the dangerous range requirement of category monitoring to which the video monitoring device (1) of the reference position belongs, and the reference position requirement information is obtained by inquiring from a database storing the reference position requirement information;

Analyzing and acquiring distance deviation demand information according to a judging result of whether the distance deviation value of the detected position is larger than a preset distance reference deviation value, and taking the distance deviation demand information as category range demand information;

according to the judgment result of whether the detected position distance deviation value is larger than the preset distance reference deviation value, analyzing and acquiring the distance deviation requirement information comprises the following steps:

according to the corresponding relation between the detection similarity of the monitoring position and the preset detection similarity requirement information, analyzing and obtaining detection similarity requirement information corresponding to the detection similarity of the monitoring position, taking the detection similarity requirement information as distance deviation requirement information, wherein the detection similarity requirement information is information for indicating the requirement of a monitoring dangerous range generated according to the detection similarity, and the detection similarity requirement information is obtained by inquiring from a database storing the detection similarity requirement information.

2. The intelligent protection system for construction safety of adjacent business lines according to claim 1, wherein the analyzing the monitoring location history detection information and the category range requirement information according to the preset detection location reference analysis method to form the detection location reference information comprises:

3. The intelligent protection system for construction safety of an adjacent business line according to claim 1, wherein the analyzing the monitoring deviation information according to the preset deviation detection early warning analysis method to form the construction area safety early warning information comprises:

4. The intelligent protection system for construction safety of adjacent business lines according to claim 3, wherein the analyzing the feature type information and the detection deviation image information according to the preset feature type early warning analysis method to form feature type early warning information comprises:

5. The intelligent protection system for construction safety in proximity to business line according to claim 4, further comprising the step of following the current monitoring display information as construction area safety precaution information, specifically comprising the following steps: