CN117689119B

CN117689119B - Intelligent building site safety supervision method and system based on Internet of things

Info

Publication number: CN117689119B
Application number: CN202410143900.5A
Authority: CN
Inventors: 魏自金; 王岩; 俞琦莺; 曾荣
Original assignee: Zhejiang Lanchen Information Technology Co ltd
Current assignee: Zhejiang Lanchen Information Technology Co ltd
Priority date: 2024-02-01
Filing date: 2024-02-01
Publication date: 2024-05-03
Anticipated expiration: 2044-02-01
Also published as: CN117689119A

Abstract

The invention discloses an intelligent building site safety supervision method and system based on the Internet of things, wherein the method comprises the steps of dividing a building site to be supervised into a plurality of sub-areas, and acquiring construction environment condition information, construction condition information and auxiliary information in a target area in a supervision period; respectively analyzing, and distributing a first construction criticizing symbol or a second construction criticizing symbol to a target area based on an analysis result; the first construction evaluation symbol or the second construction evaluation symbol; the first construction auxiliary evaluation symbol or the second construction auxiliary evaluation symbol; and further judging, if the target area is the construction weak area, and if the target area is the second construction criticizing symbol, the second construction supervision symbol and the second construction auxiliary evaluation symbol, the target area is the construction weak area, and the rest is the construction severe area. The method has the advantages that the effective and comprehensive monitoring of each area on the building site is realized, the corresponding areas can be reasonably and accurately classified based on the area monitoring feedback information, and the construction efficiency and the construction safety of the building site are remarkably improved.

Description

Intelligent building site safety supervision method and system based on Internet of things

Technical Field

The invention relates to the technical field of building site supervision, in particular to an intelligent building site safety supervision method and system based on the Internet of things.

Background

The building site refers to a place where building projects and civil engineering construction are being carried out, the range of the building site is usually closed by coamings, wire meshes or enclosing walls, and the entering and the exiting of personnel, materials, machinery and vehicles are limited, and the building site is an implementation site of the building engineering and comprises various building activities such as earth excavation, foundation construction, concrete pouring, steel structure installation and the like; when construction is performed on a construction site, the construction safety needs to be monitored so as to ensure the smooth implementation and the quality safety of the construction engineering;

At present, when carrying out safety supervision to the building site, be difficult to realize the effective comprehensive monitoring to each region on the building site, can not carry out reasonable and accurate classification to corresponding region based on regional monitoring feedback information, the supervisor is difficult to formulate rather than assorted construction supervision scheme to different regions, is unfavorable for guaranteeing the rationality and the high efficiency of supervision scheme planning, has increased the supervision degree of difficulty of supervisor to the construction site, brings adverse effect to promotion building site's efficiency of construction and construction security.

Disclosure of Invention

The invention aims to provide an intelligent building site safety supervision system and method based on the Internet of things, which solve the problems that the effective and comprehensive monitoring of each region on a building site is difficult to realize, the corresponding regions cannot be reasonably and accurately classified based on region monitoring feedback information, supervision staff is difficult to formulate construction supervision schemes matched with the regions aiming at different regions, supervision difficulty of supervision staff on the construction site is increased, and construction efficiency and construction safety are not facilitated.

In order to achieve the above purpose, the present invention provides the following technical solutions:

the intelligent building site safety supervision method based on the Internet of things is realized based on an Internet of things supervision platform and a construction management end, and the Internet of things supervision platform realizes the following steps:

Dividing a building site to be supervised into a plurality of sub-areas, marking each sub-area as a target area in a supervision period, and acquiring construction environment condition information, construction condition information and auxiliary information in the target area in the supervision period;

analyzing construction environment condition information of a target area in a supervision period, and distributing a first construction criticizing symbol or a second construction criticizing symbol to the target area based on an analysis result;

analyzing construction condition information of a target area in a supervision period, and distributing a first construction evaluation symbol or a second construction evaluation symbol to the target area based on an analysis result;

analyzing auxiliary information of a target area in a supervision period, and distributing a first construction auxiliary evaluation symbol or a second construction auxiliary evaluation symbol to the target area based on an analysis result;

And judging the construction supervision condition of the target area based on the construction criticizing symbol, the corresponding construction supervision symbol and the corresponding construction auxiliary evaluation symbol corresponding to the target area, if the construction supervision condition is the second construction criticizing symbol, the second construction supervision symbol and the second construction auxiliary evaluation symbol, marking the target area as a construction weak area, and otherwise marking the target area as a construction severe area, and sending the marking information of the target area to a construction management end.

As an implementation manner, the analyzing the construction environment condition information of the target area in the supervision period and allocating the first construction criticizing symbol or the second construction criticizing symbol to the target area based on the analysis result includes the following steps:

Based on construction environment condition information in the target area in the supervision period, whether the target area is in an environment risk state is judged through real-time detection and analysis of the construction environment;

Acquiring the total duration of the environmental risk storage state of the target area of the corresponding date and marking the total duration as a construction risk storage time analysis value, comparing the construction risk storage time analysis value of the corresponding date with a preset construction risk storage time analysis threshold value, and marking the corresponding date as a construction environmental risk analysis day if the construction risk storage time analysis value exceeds the preset construction risk storage time analysis threshold value;

Acquiring the number of construction environment risk analysis days corresponding to a target area in a supervision period, marking the number as a construction risk analysis daily detection value, carrying out summation calculation on all construction risk analysis values in the supervision period, taking an average value to obtain a construction environment risk time table value, and carrying out numerical calculation on the construction environment risk analysis daily table value and the construction environment risk time table value to obtain a construction environment risk evaluation value;

and if the construction environment risk evaluation value does not exceed the preset construction environment risk evaluation threshold value, a second construction environment risk evaluation symbol is allocated to the target area.

As an implementation manner, the construction environment real-time detection and analysis method comprises the following steps:

Acquiring real-time average temperature data, real-time average humidity data, dust expression data and ultraviolet expression data of a target area;

Marking a deviation value of the real-time average temperature data compared with a preset proper temperature standard value as a construction temperature analysis value, and marking a deviation value of the real-time average humidity data compared with a preset proper humidity standard value as a construction humidity analysis value;

Carrying out numerical calculation on the construction temperature analysis value, the construction wet analysis value, the dust expression data and the ultraviolet expression data to obtain a construction environment analysis value;

If the construction environment analysis value exceeds a preset construction environment analysis threshold value, judging that the target area is in an environment risk state;

wherein, the construction environment analysis value is obtained by the following modes:

Wherein FWi represents a construction temperature analysis value, FSi represents a construction moisture analysis value, FKi represents dust expression data, FGi represents ultraviolet expression data, fxi represents a construction environment analysis value, b1, b2, b3 and b4 are preset proportionality coefficients, and values of b1, b2, b3 and b4 are all larger than zero.

As an embodiment, the analyzing the construction condition information of the target area in the supervision period, and assigning the first construction evaluation symbol or the second construction evaluation symbol to the target area based on the analysis result, includes the following steps:

acquiring field personnel data compared with the field personnel data during construction in a supervision period, and acquiring personnel flow data compared with the field personnel data during construction in the supervision period;

If the on-site personnel data or the personnel flow data exceeds the corresponding preset threshold value, a first construction evaluation symbol is distributed to the target area; if the on-site personnel data and the personnel flow data do not exceed the corresponding preset threshold values, acquiring a comparative construction evaluation value through construction comprehensive inspection analysis;

If the construction evaluation value exceeds a preset construction evaluation threshold value, comparing and distributing construction evaluation symbols; and if the construction evaluation value does not exceed the preset construction evaluation threshold value, allocating a second construction evaluation symbol to the comparison.

As an embodiment, the construction comprehensive inspection analysis includes the following steps:

Analyzing the daily construction completion condition of the target area in the monitoring period, if the target area does not meet the preset task requirement of the current day on the corresponding date, marking the corresponding date as an inefficient construction day, and marking the number of the inefficient construction days corresponding to the target area in the monitoring period as an inefficient daily analysis value;

The personnel responsible for the corresponding construction tasks in the target area in the supervision period are obtained and marked as analysts, and the analysts with the actual construction time not exceeding the corresponding preset actual construction time threshold value are marked as low-efficiency personnel;

marking the ratio of the number of the low-efficiency staff in the target area in the supervision period as a low-efficiency staff analysis value, carrying out average value calculation on the actual construction time of all the analysts in the target area to obtain a staff construction time analysis value, and carrying out numerical calculation on the low-efficiency staff analysis value, the staff construction time analysis value and the non-efficient daily analysis value to obtain a construction monitoring value.

As an implementation manner, the analyzing the auxiliary information of the target area in the supervision period, and allocating the first construction auxiliary evaluation symbol or the second construction auxiliary evaluation symbol to the target area based on the analysis result, includes the following steps:

the method comprises the steps of obtaining the number of safety accidents and the number of theft of materials in a supervision period, and marking the number of safety accidents and the number of theft of materials as a construction accident frequency analysis value and a construction theft frequency analysis value respectively;

if the construction accident frequency analysis value or the construction stolen frequency analysis value exceeds a corresponding preset threshold value, a first construction auxiliary evaluation symbol is allocated to a target area, and if the construction accident frequency analysis value and the construction stolen frequency analysis value do not exceed the corresponding preset threshold values, loss data caused by a safety accident are acquired and marked as accident loss analysis values, and loss data caused by material theft are acquired and marked as stolen loss analysis values;

Carrying out numerical calculation on the construction accident frequency analysis value, the construction stolen frequency analysis value, the accident damage analysis value and the stolen damage analysis value to obtain a region hidden danger analysis value, and if the region hidden danger analysis value exceeds a preset region hidden danger analysis threshold value, distributing a first construction auxiliary evaluation symbol to a target region;

the area hidden danger analysis value is obtained by the following calculation method:

Wherein QFi represents a construction accident frequency analysis value, QYi represents a construction stolen frequency analysis value, QKi represents an accident damage analysis value, QRi represents a stolen damage analysis value, QXi represents an area hidden danger detection analysis value, c1, c2, c3 and c4 are preset proportionality coefficients, and the values of c1, c2, c3 and c4 are all larger than zero.

As an embodiment, the method further comprises the steps of:

the method comprises the steps of obtaining the number of safety accidents and the number of theft of materials in a target area in a supervision period, marking the number of safety accidents and the number of theft of materials as a construction accident frequency analysis value and a construction theft frequency analysis value, comparing the construction accident frequency analysis value and the construction theft frequency analysis value with a preset construction accident frequency analysis threshold and a preset construction theft frequency analysis threshold respectively, and if the construction accident frequency analysis value or the construction theft frequency analysis value exceeds the corresponding preset threshold, allocating a first construction auxiliary evaluation symbol to the target area;

If the construction accident frequency analysis value and the construction stolen frequency analysis value do not exceed the corresponding preset threshold values, acquiring loss data caused by the safety accident and marking the loss data as an accident loss analysis value, and acquiring loss data caused by the material theft and marking the loss data as a stolen loss analysis value;

and carrying out numerical calculation on the construction accident frequency analysis value, the construction stolen frequency analysis value, the accident damage analysis value and the stolen damage analysis value to obtain a region hidden danger analysis value, comparing the region hidden danger analysis value with a preset region hidden danger analysis threshold, and if the region hidden danger analysis value exceeds the preset region hidden danger analysis threshold, allocating a first construction auxiliary evaluation symbol to the target region.

As an embodiment, the equipment failure discriminant analysis includes the steps of:

Acquiring the occurrence times of faults of corresponding construction equipment in a monitoring period, marking the fault occurrence times as a fault analysis value, and acquiring the time length of delay construction of the corresponding construction equipment each time due to faults and marking the time length as a fault duration time length;

Based on all fault duration time of the corresponding construction equipment in the supervision period, carrying out summation calculation to obtain a fault duration time analysis value;

And if the fault frequency analysis value or the fault duration analysis value exceeds the corresponding preset threshold value, marking the corresponding construction equipment as high hidden trouble equipment.

As an embodiment, the method further comprises the steps of:

acquiring inspection information aiming at a target area in a supervision period, wherein the inspection information comprises inspection frequency and total inspection duration aiming at the target area in the supervision period, and acquiring an inspection traceability value based on the inspection frequency and the total inspection duration;

If the target area is a construction pipe-tight area, the preset inspection tracing threshold value corresponding to the target area is XL1; if the target area is a construction weak area, the preset inspection tracing threshold value corresponding to the target area is XL2, and XL1 is more than XL2 and more than 0;

Comparing the patrol tracing value of the target area with a corresponding preset patrol tracing threshold value, if the patrol tracing value does not exceed the corresponding preset threshold value, generating a patrol early warning signal of the target area, and sending the patrol early warning signal and the corresponding target area to a construction management end.

An intelligent building site safety supervision system based on the Internet of things is realized based on an Internet of things supervision platform and a construction management end, wherein the Internet of things supervision platform comprises a region segmentation generation module, a region environment monitoring module, a region construction monitoring module, a region hidden danger auxiliary measurement module and a supervision grading module;

the region segmentation generation module is used for dividing a building site to be supervised into a plurality of sub-regions, marking each sub-region as a target region in a supervision period, and acquiring construction environment condition information, construction condition information and auxiliary information in the target region in the supervision period;

The regional environment monitoring module is used for analyzing construction environment condition information of a target region in a supervision period and distributing a first construction criticizing symbol or a second construction criticizing symbol to the target region based on an analysis result;

The regional construction monitoring module is used for analyzing construction condition information of a target region in a supervision period, and distributing a first construction evaluation symbol or a second construction evaluation symbol to the target region based on an analysis result;

The auxiliary detection module is used for analyzing auxiliary information of a target area in a supervision period and distributing a first construction auxiliary evaluation symbol or a second construction auxiliary evaluation symbol to the target area based on an analysis result;

The supervision classification module is used for judging the construction supervision condition of the target area based on the construction criticizing symbol, the corresponding construction supervision symbol and the corresponding construction auxiliary evaluation symbol corresponding to the target area, if the construction supervision condition is the second construction criticizing symbol, the second construction supervision symbol and the second construction auxiliary evaluation symbol, the target area is marked as a construction weak area, the other conditions are marked as a construction severe area, and the marking information of the target area is sent to the construction management end.

As an embodiment, the area environment monitoring module is configured to:

As an embodiment, the area construction monitoring module is configured to:

If the construction evaluation value exceeds a preset construction evaluation threshold value, comparing and distributing construction evaluation symbols; if the construction evaluation value does not exceed the preset construction evaluation threshold value, a second construction evaluation symbol is allocated to the comparison;

The construction comprehensive inspection analysis comprises the following steps:

As an implementation manner, the area hidden danger auxiliary measurement module is set to:

As an implementation manner, the area hidden danger auxiliary measurement module is further configured to:

Performing numerical calculation on the construction accident frequency analysis value, the construction stolen frequency analysis value, the accident damage analysis value and the stolen damage analysis value to obtain a region hidden danger analysis value, comparing the region hidden danger analysis value with a preset region hidden danger analysis threshold, and if the region hidden danger analysis value exceeds the preset region hidden danger analysis threshold, allocating a first construction auxiliary evaluation symbol to a target region;

the equipment fault discrimination analysis comprises the following steps:

A computer readable storage medium storing a computer program which when executed by a processor performs the method of:

An intelligent building site safety supervision device based on the internet of things comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the following method steps when executing the computer program:

Compared with the prior art, the invention has the beneficial effects that:

1. According to the invention, the construction environment condition information of each region of the building site is analyzed through the region environment monitoring module, the construction condition information of each region of the building site is analyzed through the region construction monitoring module, the auxiliary monitoring module for the hidden danger of the region is used for carrying out auxiliary monitoring on each region of the building site, the supervision classification module is used for marking the corresponding region as a construction weak pipe region or a construction severe pipe region based on the construction environment analysis result, the construction condition analysis result and the construction auxiliary measurement result, so that the effective comprehensive monitoring on each region of the building site is realized, the corresponding region can be reasonably and accurately classified based on the region monitoring feedback information, so that supervision personnel can formulate construction supervision schemes matched with the different regions for the supervision personnel, the planning of the supervision schemes is more reasonable and efficient, the supervision difficulty of the supervision personnel on the construction site is reduced, and the construction efficiency and the construction safety of the building site are remarkably improved;

2. According to the invention, the inspection tracing evaluation module is used for analyzing the inspection condition of each area aiming at the construction site in the supervision period to judge whether to generate the inspection early warning signal of the corresponding area, the inspection early warning signal and the corresponding area are sent to the construction management end, the supervision personnel can timely adjust the inspection scheme when receiving the inspection early warning signal, and the follow-up inspection execution process of the corresponding area is reinforced and supervised, so that the construction safety aiming at each area of the construction site is further ensured.

Drawings

For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;

FIG. 1 is a schematic flow chart of a method according to a first embodiment of the invention;

FIG. 2 is a flow chart of an embodiment of the present invention;

FIG. 3 is a schematic flow chart of another embodiment of the present invention;

FIG. 4 is a schematic flow chart of a further embodiment of the present invention;

FIG. 5 is a schematic flow chart of a further embodiment of the present invention;

Fig. 6 is a schematic diagram of a system structure according to a second embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Example 1:

The intelligent building site safety supervision method based on the Internet of things is realized based on an Internet of things supervision platform and a construction management end, as shown in fig. 1, the Internet of things supervision platform realizes the following steps:

s100, dividing a building site to be supervised into a plurality of sub-areas, marking each sub-area as a target area in a supervision period, and acquiring construction environment condition information, construction condition information and auxiliary information in the target area in the supervision period;

s200, analyzing construction environment condition information of a target area in a supervision period, and distributing a first construction criticizing symbol or a second construction criticizing symbol to the target area based on an analysis result;

S300, analyzing construction condition information of a target area in a supervision period, and distributing a first construction supervision symbol or a second construction supervision symbol to the target area based on an analysis result;

s400, auxiliary information of a target area in a supervision period is analyzed, and a first construction auxiliary evaluation symbol or a second construction auxiliary evaluation symbol is distributed to the target area based on an analysis result;

S500, judging the construction supervision condition of the target area based on the construction criticizing symbol, the corresponding construction supervision symbol and the corresponding construction auxiliary evaluation symbol corresponding to the target area, if the construction supervision condition is the second construction criticizing symbol, the second construction supervision symbol and the second construction auxiliary evaluation symbol, marking the target area as a construction weak area, and otherwise marking the target area as a construction severe area, and sending marking information of the target area to a construction management end.

The method and the system can realize effective and comprehensive monitoring of each area on the building site, and can reasonably and accurately grade the corresponding area based on the area monitoring feedback information, so that a supervisory person can formulate a construction supervision scheme matched with the corresponding area for different areas, the planning of the supervision scheme is more reasonable and efficient, the supervision difficulty of the supervisory person on the building site is reduced, and the construction efficiency and the construction safety of the building site are remarkably improved.

The supervision personnel continuously and mainly conduct construction supervision on the construction severe pipe area, and a construction supervision scheme matched with the supervision personnel is formulated for different areas, so that the supervision scheme is more reasonable and efficient in planning, the supervision difficulty of the supervision personnel on the construction site is reduced, and the construction efficiency and the construction safety of the construction site are remarkably improved.

In one embodiment, in step S200, the analysis is performed on the construction environment condition information of the target area in the supervision period, and the first construction criticizing symbol or the second construction criticizing symbol is allocated to the target area based on the analysis result, as shown in fig. 2, and the method includes the following steps:

S210, based on construction environment condition information in a target area in a supervision period, judging whether the target area is in an environment risk state through real-time detection and analysis of the construction environment;

s220, acquiring the total duration that the corresponding date target area is in the environment risk state and marking the total duration as a construction risk time analysis value, further comparing the construction risk time analysis value of the corresponding date with a preset construction risk time analysis threshold value, and marking the corresponding date as a construction environment risk analysis day if the construction risk time analysis value exceeds the preset construction risk time analysis threshold value;

s230, acquiring the number of construction environment risk analysis days corresponding to a target area in a supervision period, marking the number as a construction risk analysis daily detection value, carrying out summation calculation on all construction risk analysis values in the supervision period, taking a mean value to obtain a construction environment risk time table value, and carrying out numerical calculation on the construction environment risk analysis daily table value and the construction environment risk time table value to obtain a construction environment risk evaluation value;

S240, if the construction environment risk evaluation value exceeds a preset construction environment risk evaluation threshold value, a construction environment risk evaluation symbol is allocated to the target area in a first mode, and if the construction environment risk evaluation value does not exceed the preset construction environment risk evaluation threshold value, a second construction environment risk evaluation symbol is allocated to the target area.

The construction environment real-time detection analysis in the above embodiment comprises the following steps:

In step S300, the analyzing the construction status information of the target area in the supervision period, and allocating the first construction evaluation symbol or the second construction evaluation symbol to the target area based on the analysis result, as shown in fig. 3, includes the following steps:

S310, acquiring field personnel data compared with the construction time in a supervision period, and acquiring personnel flow data compared with the construction time in the supervision period;

s320, if the on-site personnel data or the personnel flow data exceeds a corresponding preset threshold value, a first construction evaluation symbol is distributed to the target area; if the on-site personnel data and the personnel flow data do not exceed the corresponding preset threshold values, acquiring a comparative construction evaluation value through construction comprehensive inspection analysis;

S330, if the construction evaluation value exceeds a preset construction evaluation threshold value, distributing a construction evaluation symbol to the comparison; and if the construction evaluation value does not exceed the preset construction evaluation threshold value, allocating a second construction evaluation symbol to the comparison.

In the above embodiment, the construction comprehensive inspection analysis includes the following steps:

In step S400, the analyzing the auxiliary information of the target area in the supervision period, and allocating the first construction auxiliary evaluation symbol or the second construction auxiliary evaluation symbol to the target area based on the analysis result, as shown in fig. 4, includes the following steps:

s410, acquiring the number of safety accidents and the number of theft of materials in a supervision period, and marking the number of safety accidents and the number of theft of materials as a construction accident frequency analysis value and a construction theft frequency analysis value respectively;

S420, if the construction accident frequency analysis value or the construction stolen frequency analysis value exceeds a corresponding preset threshold value, a first construction auxiliary evaluation symbol is allocated to a target area, if the construction accident frequency analysis value and the construction stolen frequency analysis value do not exceed the corresponding preset threshold value, loss data caused by a safety accident are obtained and marked as accident loss analysis values, and loss data caused by material theft are obtained and marked as stolen loss analysis values;

s430, carrying out numerical calculation on the construction accident frequency analysis value, the construction stolen frequency analysis value, the accident damage analysis value and the stolen damage analysis value to obtain a region hidden danger analysis value, and if the region hidden danger analysis value exceeds a preset region hidden danger analysis threshold, distributing a first construction auxiliary evaluation symbol to a target region;

In order to make the monitoring data more accurate, as shown in fig. 5, the whole invention further comprises the following steps:

S610, acquiring the number of security incidents and the number of theft of materials in a target area in a supervision period, marking the number of security incidents and the number of theft of materials as a construction incident frequency analysis value and a construction theft frequency analysis value, respectively comparing the construction incident frequency analysis value and the construction theft frequency analysis value with a preset construction incident frequency analysis threshold and a preset construction theft frequency analysis threshold, and if the construction incident frequency analysis value or the construction theft frequency analysis value exceeds the corresponding preset threshold, allocating a first construction auxiliary evaluation symbol to the target area;

S620, if the construction accident frequency analysis value and the construction stolen frequency analysis value do not exceed the corresponding preset threshold values, acquiring loss data caused by the safety accident and marking the loss data as an accident loss analysis value, and acquiring loss data caused by the material theft and marking the loss data as a stolen loss analysis value;

S630, carrying out numerical calculation on the construction accident frequency analysis value, the construction stolen frequency analysis value, the accident damage analysis value and the stolen damage analysis value to obtain a region hidden danger analysis value, comparing the region hidden danger analysis value with a preset region hidden danger analysis threshold, and if the region hidden danger analysis value exceeds the preset region hidden danger analysis threshold, allocating a first construction auxiliary evaluation symbol to the target region.

In this embodiment, the equipment failure discriminant analysis includes the steps of:

In addition, in one embodiment, the method further comprises the following steps:

In this implementation, the inspection frequency XPi and the total inspection duration XSi are calculated by a formula XFi =a1×xpi+a2×xsi/a1 to obtain an inspection traceability value XFi; wherein a1 and a2 are preset proportionality coefficients, and a1 is more than a2 and more than 0; and, the smaller the value of the patrol traceability value XFi is, the worse the patrol performance condition of the target area i in the supervision period is indicated; and sending the inspection early warning signal and the corresponding target area i to a construction management end, and adjusting the inspection scheme in time when the supervisory personnel receive the inspection early warning signal, and reinforcing supervision on the subsequent inspection execution process of the corresponding target area i, so that the construction safety of the target area i is further ensured.

Example 2:

As shown in fig. 6, the intelligent building site safety supervision system based on the internet of things is realized based on an internet of things supervision platform 010 and a construction management end 020, wherein the internet of things supervision platform 010 comprises a region segmentation generation module 100, a region environment monitoring module 200, a region construction monitoring module 300, a region hidden danger auxiliary measurement module 400 and a supervision classification module 500;

the region division generating module 100 is configured to divide a building site to be supervised into a plurality of sub-regions, mark each sub-region as a target region in a supervision period, and obtain construction environment condition information, construction condition information and auxiliary information in the target region in the supervision period;

The regional environment monitoring module 200 is configured to analyze construction environment status information of a target region in a supervision period, and allocate a first construction criticizing symbol or a second construction criticizing symbol to the target region based on an analysis result;

The regional construction monitoring module 300 is configured to analyze construction status information of a target region in a supervision period, and allocate a first construction evaluation symbol or a second construction evaluation symbol to the target region based on an analysis result;

The auxiliary detection module 400 is configured to analyze auxiliary information of a target area in a supervision period, and allocate a first construction auxiliary evaluation symbol or a second construction auxiliary evaluation symbol to the target area based on an analysis result;

The supervision classification module 500 is configured to determine a construction supervision condition of the target area based on the construction cricket symbol, the corresponding construction supervision symbol and the corresponding construction auxiliary evaluation symbol corresponding to the target area, if the construction supervision condition is the second construction cricket symbol, the second construction supervision symbol and the second construction auxiliary evaluation symbol, mark the target area as a construction weak area, and if the construction supervision condition is the second construction cricket symbol, the second construction supervision symbol and the second construction auxiliary evaluation symbol, mark the target area as a construction severe area, and send marking information of the target area to a construction management end.

In a specific embodiment, the region segmentation generation module divides a building site to be supervised into a plurality of sub-regions, marks the corresponding sub-region as a target region i, and i is a natural number greater than 1;

The regional environment monitoring module analyzes construction environment condition information of a target region i in a supervision period, distributes a construction criticizing symbol HP-1 or a construction criticizing symbol HP-2 to the target region i based on an analysis result, and sends a corresponding construction criticizing symbol of the target region i to the supervision hierarchical assessment module, so that comprehensive assessment and accurate feedback of environment performance conditions in the target region i are realized, data information support is provided for an analysis process of the supervision hierarchical assessment module, and rationality and accuracy of a classification result of the target region i are remarkably improved; the specific operation process of the regional environment monitoring module is as follows:

the construction environment is detected and analyzed in real time to judge whether the target area i is in an environment risk state, specifically: acquiring real-time average temperature data and real-time average humidity data of a target area i, marking a deviation value of the real-time average temperature data compared with a preset proper temperature standard value as a construction temperature analysis value, and marking a deviation value of the real-time average humidity data compared with the preset proper humidity standard value as a construction humidity analysis value;

collecting dust expression data and ultraviolet expression data of a target area i, wherein the dust expression data is a data value representing the average value of dust concentration at each position in the target area i, and the ultraviolet expression data is a data value representing the average value of ultraviolet intensity at each position in the target area i;

by the formula Performing numerical calculation on the construction temperature analysis value FWi, the construction wet analysis value FSi, the dust expression data FKi and the ultraviolet expression data FGi to obtain a construction environment analysis value FXI; wherein b1, b2, b3 and b4 are preset proportionality coefficients, and the values of b1, b2, b3 and b4 are all larger than zero;

moreover, the larger the value of the construction environment analysis value FXI is, the worse the environment performance condition of the target area i at the corresponding moment is, and the construction safety of the area is not facilitated; comparing the construction environment analysis value FXI with a preset construction environment analysis threshold, and judging that the target area i is in an environment risk state if the construction environment analysis value FXI exceeds the preset construction environment analysis threshold and indicates that the environment performance condition of the target area i at the corresponding moment is poor;

Collecting the total duration of the environmental risk storage state of the corresponding date target area i, marking the total duration as a construction risk storage time analysis value, comparing the construction risk storage time analysis value of the corresponding date with a preset construction risk storage time analysis threshold, and marking the corresponding date as a construction environmental risk analysis day if the construction risk storage time analysis value exceeds the preset construction risk storage time analysis threshold;

collecting the number of construction environment risk analysis days corresponding to a target area i in a supervision period, marking the number as a construction risk analysis daily detection value, carrying out summation calculation on all construction risk analysis values in the supervision period, and taking an average value to obtain a construction environment risk time table value;

Performing numerical calculation on the construction risk analysis daily table value FBi and the construction environment risk time table value FMi through a formula FQi =ew1×FBi+ew2×FMi to obtain a construction environment risk evaluation value FQi; wherein, ew1 and ew2 are preset proportionality coefficients, and the ratio of the ew1 to the ew2 is more than 0; and, the larger the value of the construction environment risk evaluation value FQi is, the worse the environment performance of the target area i in the supervision period is;

Comparing the construction environment risk evaluation value FQi with a preset construction environment risk evaluation threshold value, if the construction environment risk evaluation value FQi exceeds the preset construction environment risk evaluation threshold value, indicating that the environment performance of a target area i in a supervision period is poor as a whole, and if the construction safety supervision difficulty is high, assigning a construction environment evaluation symbol HP-1 to the target area i;

If the construction environment risk evaluation value FQi does not exceed the preset construction environment risk evaluation threshold value, which indicates that the environment performance of the target area i in the supervision period is good as a whole, the construction environment risk evaluation symbol HP-2 is allocated to the target area i.

The regional construction monitoring module analyzes construction condition information of the target region i, distributes construction monitoring symbols or YP-2 to the target region i based on analysis results, and sends corresponding construction monitoring symbols of the target region i to the supervision hierarchical assessment module, so that comprehensive assessment and accurate feedback of construction performance conditions in the target region i are realized, data information support is provided for an analysis process of the supervision hierarchical assessment module, and rationality and accuracy of classification results of the target region i are remarkably improved; the specific operation process of the regional construction monitoring module is as follows:

Acquiring field personnel data of a target area i in a supervision period during construction, wherein the field personnel data is a data magnitude representing the average value of the quantity of distributed personnel in the target area i in unit time; the personnel flow data of the target area i in the supervision period during construction is collected, wherein the personnel flow data is a data value representing the quantity and the value of the personnel flowing in and the personnel outputting in the unit time of the target area i;

respectively comparing the field personnel data and the personnel flow data with a preset field personnel data threshold value and a preset personnel flow data threshold value, and if the field personnel data or the personnel flow data exceeds the corresponding preset threshold value, indicating that the personnel performance of the target area i is complex and the construction safety supervision difficulty is high, distributing a construction supervision symbol to the target area i;

if the on-site personnel data and the personnel flow data do not exceed the corresponding preset thresholds, the construction evaluation value of the target area i is obtained through construction comprehensive inspection analysis, specifically: analyzing the daily construction completion condition of the target area i in the monitoring period, if the target area i does not meet the preset task requirement of the current day on the corresponding date, marking the corresponding date as an inefficient construction day, and marking the number of the inefficient construction days corresponding to the target area i in the monitoring period as an inefficient day analysis value;

The personnel responsible for the corresponding construction task in the target area i in the supervision period are collected and marked as analysts, and the analysts with the actual construction time not exceeding the corresponding preset actual construction time threshold value are marked as low-efficiency personnel;

marking the ratio of the number of the low-efficiency staff in the target area i in the supervision period as a low-efficiency staff analysis value, and carrying out average value calculation on the actual construction time of all the analysts in the target area i to obtain a staff construction time analysis value;

Performing numerical calculation on the low-efficiency human analysis value GTi, the personnel analysis value GRi and the non-efficient daily analysis value GKi according to a formula GYi = (eg1 x GTi+eg3 x GKi)/(eg2 x GRi +1) to obtain a construction evaluation value GYi; wherein eg1, eg2, eg3 are preset proportionality coefficients, and the values of eg1, eg2, eg3 are positive numbers;

and, the larger the value of the construction evaluation value GYi is, the worse the construction performance of the personnel in the target area i in the supervision period is, and the more the construction supervision of the target area i is required to be enhanced;

Comparing the construction evaluation value GYi with a preset construction evaluation threshold, if the construction evaluation value GYi exceeds the preset construction evaluation threshold, indicating that the construction performance of the personnel in the target area i in the supervision period is poor, and if the construction supervision of the target area i needs to be enhanced in time, distributing a construction evaluation symbol to the target area i; if the construction evaluation value GYi does not exceed the preset construction evaluation threshold, indicating that the construction performance of the personnel in the target area i in the supervision period is good, distributing a construction evaluation symbol YP-2 to the target area i.

The auxiliary detection module for the area hidden trouble carries out auxiliary detection on the target area i, distributes construction auxiliary evaluation symbols WP-1 or WP-2 to the target area i based on the analysis result, and sends corresponding construction auxiliary evaluation symbols of the target area i to the supervision hierarchical assessment module, so that comprehensive assessment and accurate feedback of construction auxiliary detection conditions in the target area i are realized, data information support is provided for the analysis process of the supervision hierarchical assessment module, and the rationality and accuracy of the classification result of the target area i are obviously improved; the specific operation process of the auxiliary detection module for the area hidden trouble is as follows:

The method comprises the steps of collecting the number of safety accidents and the number of theft of materials in a target area i in a supervision period, marking the number of times of safety accidents and the number of theft of materials as a construction accident frequency analysis value and a construction theft frequency analysis value, respectively comparing the construction accident frequency analysis value and the construction theft frequency analysis value with a preset construction accident frequency analysis threshold and a preset construction theft frequency analysis threshold, if the construction accident frequency analysis value or the construction theft frequency analysis value exceeds the corresponding preset threshold, indicating that supervision on the target area i needs to be enhanced in time so as to ensure personnel safety and reduce loss, and distributing a construction auxiliary evaluation symbol WP-1 to the target area i;

If the construction accident frequency analysis value and the construction stolen frequency analysis value do not exceed the corresponding preset threshold values, acquiring loss data (mainly referred to as loss amount) caused by the safety accident and marking the loss data as an accident loss analysis value, and acquiring loss data (mainly referred to as loss amount) caused by the material theft and marking the loss data as a stolen loss analysis value;

by the formula Carrying out numerical calculation on a construction accident frequency analysis value QFi, a construction stolen frequency analysis value QYi, an accident damage analysis value QKi and a stolen damage analysis value QRi to obtain a region hidden danger analysis value QXi; wherein c1, c2, c3 and c4 are preset proportionality coefficients, and the values of c1, c2, c3 and c4 are all larger than zero;

And, the larger the numerical value of the regional hidden danger analysis value QXi is, the larger the supervision hidden danger of the target region i is indicated; comparing the area hidden danger analysis value QXi with a preset area hidden danger analysis threshold, and if the area hidden danger analysis value QXi exceeds the preset area hidden danger analysis threshold, indicating that the supervision hidden danger of the target area i is large, allocating a construction auxiliary evaluation symbol WP-1 to the target area i.

Further, if the area hidden trouble analysis value QXi does not exceed the preset area hidden trouble analysis threshold, all the construction equipment for construction in the target area i in the supervision period is obtained, and whether the corresponding construction equipment is high hidden trouble equipment is judged through equipment fault discriminant analysis, specifically: collecting the occurrence times of faults of corresponding construction equipment in a monitoring period, marking the fault occurrence times as a fault frequency analysis value, collecting the time length of delay construction of the corresponding construction equipment each time due to faults, marking the time length as a fault duration, and summing all the fault duration time lengths of the corresponding construction equipment in the monitoring period to obtain a fault duration time analysis value;

Respectively comparing the fault frequency analysis value and the fault duration analysis value with a preset fault frequency analysis threshold value and a preset fault duration analysis threshold value, and if the fault frequency analysis value or the fault duration analysis value exceeds the corresponding preset threshold value, indicating that the running performance condition of the corresponding construction equipment in the monitoring period is poor, marking the corresponding construction equipment as high hidden danger equipment;

Marking the number occupation ratio of construction equipment with faults in a target area i in a supervision period as a construction equipment differential occupation value, marking the number occupation ratio of high hidden danger equipment in the target area i as a construction equipment high analysis value, and carrying out numerical calculation on the construction equipment differential occupation value RYi and the construction equipment high analysis value RFi through a formula RXi= (wq1 x RYi +wq2 x RFi)/2 to obtain a construction equipment hidden danger value RXI, wherein wq1 and wq2 are preset weight coefficients, and wq2 is more than wq1 and more than 0;

Moreover, the larger the numerical value of the hidden trouble value Rxi of the construction equipment is, the worse the comprehensive performance condition of the construction equipment in the target area i in the supervision period is, and the construction efficiency and the construction safety are not guaranteed;

Comparing the construction equipment hidden trouble value Rxi with a preset construction equipment hidden trouble threshold value, and if the construction equipment hidden trouble value Rxi exceeds the preset construction equipment hidden trouble threshold value, indicating that the construction equipment performance condition of a target area i in a supervision period is poor in combination, distributing a construction auxiliary evaluation symbol WP-1 to the target area i;

if the hidden danger value Rxi of the construction equipment does not exceed the hidden danger threshold value of the preset construction equipment, which indicates that the comprehensive performance of the construction equipment in the target area i in the supervision period is better, the construction auxiliary evaluation symbol WP-2 is distributed to the target area i.

The supervision and grading module receives the corresponding construction criticizing symbol, the corresponding construction supervision symbol and the corresponding construction auxiliary evaluating symbol of the target area i, if the HP-2 n YP-2 n WP-2 is received, the target area i is marked as a construction weak area, the other conditions are that the target area i is marked as a construction severe area, and marking information of the target area i is sent to a construction management end;

In addition, in one embodiment, the monitoring platform of the internet of things is in communication connection with the inspection tracing evaluation module, the inspection tracing evaluation module obtains inspection information aiming at the target area i in a monitoring period, the inspection information comprises inspection frequency aiming at the target area i in the monitoring period and total inspection duration, wherein the inspection frequency is a data value representing the number of times of inspecting the target area i in the monitoring period, and the total inspection duration is a data value representing the total time size of inspecting the target area i in the monitoring period;

Calculating the patrol frequency XPi and the patrol total duration XSi by a formula XFi =a1 x XPi+a2 x XSi/a1 to obtain a patrol traceability value XFi; wherein a1 and a2 are preset proportionality coefficients, and a1 is more than a2 and more than 0; and, the smaller the value of the patrol traceability value XFi is, the worse the patrol performance condition of the target area i in the supervision period is indicated;

if the target area i is a construction severe pipe area, a preset inspection tracing threshold value corresponding to the target area i is XL1; if the target area i is a construction weak area, the preset inspection tracing threshold value corresponding to the target area i is XL2, and XL1 is more than XL2 and more than 0;

Comparing the patrol traceability value XFi of the target area i with a corresponding preset patrol traceability threshold, and if the patrol traceability value XFi does not exceed the corresponding preset threshold, indicating that the patrol performance of the target area i in the supervision period is poor, generating a patrol early warning signal of the target area i;

And sending the inspection early warning signal and the corresponding target area i to a construction management end, and adjusting the inspection scheme in time when the supervisory personnel receive the inspection early warning signal, and reinforcing supervision on the subsequent inspection execution process of the corresponding target area i, so that the construction safety of the target area i is further ensured.

The working principle of the invention is as follows: when the monitoring system is used, construction environment condition information of a target area i in a monitoring period is analyzed through an area environment monitoring module, a construction critique symbol HP-1 or a construction critique symbol HP-2 is distributed to the target area i based on an analysis result, the construction condition information of the target area i is analyzed through an area construction monitoring module, a construction monitoring symbol YP-1 or YP-2 is distributed to the target area i based on an analysis result, an area hidden danger auxiliary monitoring module carries out auxiliary monitoring on the target area i, a construction auxiliary evaluation symbol WP-1 or WP-2 is distributed to the target area i based on an analysis result, a supervision grading module marks the target area i as a construction weak area, and the rest of the construction environment is marked as a construction critical area.

In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.

It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It should be noted that:

reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, the appearances of the phrase "one embodiment" or "an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention. In addition, the specific embodiments described in the present specification may differ in terms of parts, shapes of components, names, and the like. All equivalent or simple changes of the structure, characteristics and principle according to the inventive concept are included in the protection scope of the present invention. Those skilled in the art may make various modifications or additions to the described embodiments or substitutions in a similar manner without departing from the scope of the invention as defined in the accompanying claims.

Claims

1. The intelligent building site safety supervision method based on the Internet of things is realized based on an Internet of things supervision platform and a construction management end, and is characterized in that the Internet of things supervision platform realizes the following steps:

Judging the construction supervision condition of the target area based on the construction criticizing symbol, the corresponding construction supervision symbol and the corresponding construction auxiliary evaluation symbol corresponding to the target area, if the construction supervision condition is the second construction criticizing symbol, the second construction supervision symbol and the second construction auxiliary evaluation symbol, marking the target area as a construction weak area, and otherwise marking the target area as a construction severe area, and sending marking information of the target area to a construction management end;

The construction condition information of the target area in the supervision period is analyzed, and a first construction supervision symbol or a second construction supervision symbol is distributed to the target area based on an analysis result, and the method comprises the following steps:

Acquiring field personnel data of a target area in a supervision period during construction, and acquiring personnel flow data of the target area in the supervision period during construction;

If the on-site personnel data or the personnel flow data exceeds the corresponding preset threshold value, a first construction evaluation symbol is distributed to the target area; if the on-site personnel data and the personnel flow data do not exceed the corresponding preset threshold values, acquiring a construction evaluation value of the target area through construction comprehensive inspection analysis;

If the construction evaluation value exceeds a preset construction evaluation threshold value, a first construction evaluation symbol is allocated to the target area; if the construction evaluation value does not exceed the preset construction evaluation threshold value, a second construction evaluation symbol is distributed to the target area;

2. The intelligent building site safety supervision method based on the internet of things according to claim 1, wherein the analysis of the construction environment condition information of the target area in the supervision period and the allocation of the first construction criticizing symbol or the second construction criticizing symbol to the target area based on the analysis result comprise the following steps:

Acquiring the number of construction environment risk analysis days corresponding to a target area in a supervision period, marking the number as a construction risk analysis daily detection value, carrying out summation calculation on all construction risk analysis values in the supervision period, taking an average value to obtain a construction environment risk time table value, and carrying out numerical calculation on the construction environment risk analysis daily detection value and the construction environment risk time table value to obtain a construction environment risk evaluation value;

If the construction environment risk evaluation value exceeds a preset construction environment risk evaluation threshold value, a first construction environment risk evaluation symbol is allocated to the target area, and if the construction environment risk evaluation value does not exceed the preset construction environment risk evaluation threshold value, a second construction environment risk evaluation symbol is allocated to the target area.

3. The intelligent building site safety supervision method based on the internet of things according to claim 2, wherein the construction environment real-time detection and analysis comprises the following steps:

4. The intelligent building site safety supervision method based on the internet of things according to claim 1, wherein the analysis of the auxiliary information of the target area in the supervision period, and the allocation of the first construction auxiliary evaluation symbol or the second construction auxiliary evaluation symbol to the target area based on the analysis result, comprises the following steps:

5. The intelligent building site safety supervision method based on the internet of things according to claim 4, further comprising equipment fault discriminant analysis, comprising the following steps:

If the failure frequency analysis value or the failure duration analysis value exceeds the corresponding preset threshold value, marking the corresponding construction equipment as high hidden trouble equipment;

If the area hidden trouble detection and analysis value does not exceed a preset area hidden trouble detection and analysis threshold, all construction equipment for construction in a target area in a supervision period is obtained, the number occupation ratio of the construction equipment with faults in the target area in the supervision period is marked as a construction equipment differential occupation value, whether the corresponding construction equipment is high hidden trouble equipment or not is judged through equipment fault discrimination analysis, and the number occupation ratio of the high hidden trouble equipment in the target area i is marked as a construction equipment high analysis value;

Performing numerical calculation on the construction equipment differential occupation value and the construction equipment high analysis value to obtain a construction equipment hidden danger value, performing numerical comparison on the construction equipment hidden danger value and a preset construction equipment hidden danger threshold value, and if the construction equipment hidden danger value exceeds the preset construction equipment hidden danger threshold value, distributing a first construction auxiliary evaluation symbol to a target area;

And if the hidden danger value of the construction equipment does not exceed the hidden danger threshold value of the preset construction equipment, a second construction auxiliary evaluation symbol is allocated to the target area.

6. The intelligent building site safety supervision method based on the internet of things as set forth in claim 1, further comprising the steps of:

7. The intelligent building site safety supervision system based on the Internet of things is realized based on an Internet of things supervision platform and a construction management end, and is characterized in that the Internet of things supervision platform comprises a region segmentation generation module, a region environment monitoring module, a region construction monitoring module, a region hidden danger auxiliary measurement module and a supervision grading module;

The regional construction monitoring module is used for analyzing construction condition information of a target region in a supervision period and distributing a first construction evaluation symbol or a second construction evaluation symbol to the target region based on an analysis result;

the supervision classification module is used for judging the construction supervision condition of the target area based on the construction criticizing symbol, the corresponding construction supervision symbol and the corresponding construction auxiliary evaluation symbol corresponding to the target area, if the construction supervision condition is the second construction criticizing symbol, the second construction supervision symbol and the second construction auxiliary evaluation symbol, the target area is marked as a construction weak area, the other conditions are marked as a construction severe area, and the marking information of the target area is sent to a construction management end;

wherein, the regional construction monitoring module is set as:

8. The internet of things-based intelligent building site safety supervision system according to claim 7, wherein the regional environment monitoring module is configured to:

9. The intelligent building site safety supervision system based on the internet of things according to claim 8, wherein the construction environment real-time detection analysis comprises the following steps:

10. The intelligent building site safety supervision system based on the internet of things according to claim 7, wherein the area hidden danger auxiliary measurement module is configured to:

11. The intelligent building site safety supervision system based on the internet of things according to claim 10, wherein the area hidden danger auxiliary measurement module further comprises equipment fault discrimination analysis, and the method comprises the following steps:

If the area hidden danger detection and analysis value does not exceed a preset area hidden danger detection and analysis threshold value, all construction equipment for construction in a target area i in a supervision period is obtained, the number occupation ratio of the construction equipment with faults in the target area i in the supervision period is marked as a construction equipment differential occupation value, whether the corresponding construction equipment is high hidden danger equipment or not is judged through equipment fault discriminant analysis, and the number occupation ratio of the high hidden danger equipment in the target area is marked as a construction equipment high analysis value;

12. A computer readable storage medium storing a computer program, which when executed by a processor implements the method of any one of claims 1 to 6.

13. An intelligent building site safety supervision device based on the internet of things, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any one of claims 1 to 6 when executing the computer program.