A smart construction site safety supervision system based on the Internet of Things

Abstract

The present invention belongs to the technical field of construction site supervision, and specifically is an intelligent construction site safety supervision system based on the Internet of Things, including an Internet of Things supervision platform, a regional environmental table analysis module, a regional construction operation monitoring module, a regional management level assessment module and a background management and control terminal; the present invention analyzes the environmental performance status and construction operation performance status of each construction area through the regional environmental table analysis module and the regional construction operation monitoring module, and can accurately feedback the environmental risk and construction operation risk level of all construction areas in real time; the regional management level assessment module divides the corresponding construction area into management and control levels based on the environmental management symbols and management symbols of the corresponding construction area, so that different management plans can be formulated for construction areas of different levels in the future, and the rationality of subsequent inspections can be reasonably judged for areas of different levels, effectively ensuring the safety of construction site construction and significantly reducing the difficulty of management, with a high degree of intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of construction site supervision, and in particular to a smart construction site safety supervision system based on the Internet of Things. Background Art

[0002] Site construction is also known as building construction, which refers to the process of construction according to the design plan after the design of the building project is completed, including foundation construction, main structure construction, roof construction, decoration construction, etc. Specifically, site construction is the construction process of various buildings, covering civil engineering, decoration, installation and other aspects. With the rapid development of the construction industry, the safety issues of site construction have become increasingly prominent;

[0003] Traditional construction site safety supervision methods mainly rely on manual inspections, which make it difficult to accurately feedback the environmental risk status and construction operation risk status of each area of ​​the site and comprehensively evaluate the safety hazard level of each area. It is also impossible to reasonably judge the rationality of subsequent inspections for areas of different levels. The level of intelligence is low and the management is difficult, which is not conducive to ensuring the construction safety of each area of ​​the site.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a smart construction site safety supervision system based on the Internet of Things, which solves the problem that the prior art is difficult to accurately feedback the environmental risk status and construction operation risk status of each area of ​​the construction site and comprehensively evaluate the safety hazard level of each area, and is unable to reasonably judge the rationality of subsequent inspections for areas of different levels, which is not conducive to ensuring construction safety.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A smart construction site construction safety supervision system based on the Internet of Things includes an Internet of Things supervision platform, a regional environmental table analysis module, a regional construction operation monitoring module, a regional management level assessment module and a background management terminal; the smart construction site that needs to be supervised by the Internet of Things supervision platform is divided into a number of construction areas, and the corresponding construction areas are marked as management objects i, and i is a natural number greater than 1; the regional environmental table analysis module analyzes the environmental performance status of the management object i, generates the environmental management symbol KY-1 or KY-2 of the management object i through analysis, and sends the environmental management symbol KY-1 or KY-2 of the management object i to the regional management level assessment module via the Internet of Things supervision platform;

[0008] The regional construction operation monitoring module analyzes the construction operation performance of the control object i, generates the management symbol SY-1 or SY-2 of the control object i through analysis, and sends the management symbol SY-1 or SY-2 of the control object i to the regional management level assessment module via the Internet of Things supervision platform; when the regional management level assessment module receives the environmental management symbol KY-1 or KY-2 and the management symbol SY-1 or SY-2 of the control object i, it divides the control level into high-level management level. If KY-1∩SY-1 is received, the control object i is marked as a high-level management object; if KY-2∩SY-2 is received, the control object i is marked as a low-level management object. In other cases, the control object i is marked as a medium-level management object, and the level marking information of the control object i is sent to the background control end via the Internet of Things platform.

[0009] Furthermore, the specific operation process of the regional ring table analysis module includes:

[0010] Through analysis, it is judged in real time whether the controlled object i is in a state of regional environmental harm. If it is in a state of regional environmental harm, the corresponding judgment information is sent to the background control end through the Internet of Things supervision platform; the number of times the controlled object i is in a state of regional environmental harm during the detection period is obtained and marked as the harm detection frequency value, and the duration of each time the controlled object i is in a state of regional environmental harm during the detection period is marked as the harm single time value, and all the harm single time values ​​of the controlled object i during the detection period are summed up to obtain the harm time value, and the number of harm single time values ​​exceeding the preset harm single time threshold is calculated by ratio with the harm detection frequency value to obtain the harm high proportion value;

[0011] The regional harm assessment value is obtained by numerically calculating the harm detection frequency value, the harm time value and the harm high occupancy value, and the regional harm assessment value is numerically compared with the preset regional harm assessment threshold. If the regional harm assessment value exceeds the preset regional harm assessment threshold, the environmental management symbol KY-1 of the control object i is generated; if the regional harm assessment value does not exceed the preset regional harm assessment threshold, the environmental management symbol KY-2 of the control object i is generated.

[0012] Furthermore, the analysis and judgment method of the regional environmental damage status is as follows:

[0013] The regional harmful gas concentration and the regional combustible gas concentration of the controlled object i are collected, and the regional harmful gas concentration and the regional combustible gas concentration are numerically compared with the preset regional harmful gas concentration threshold and the preset regional combustible gas concentration threshold, respectively. If the regional harmful gas concentration or the regional combustible gas concentration exceeds the corresponding preset threshold, it is judged that the controlled object i is in a regional environmental harmful state;

[0014] If the regional harmful gas concentration and the regional combustible gas concentration do not exceed the corresponding preset thresholds, the regional ambient temperature, regional ambient humidity and regional ambient air pressure of the control object i are collected, and the deviation value of the regional ambient temperature compared to the preset suitable ambient temperature standard value is marked as the regional temperature value. Similarly, the regional humidity value and regional air value are obtained;

[0015] The regional environmental dust concentration and regional ultraviolet intensity of the controlled object i are collected, and the regional environmental inspection condition value is obtained by numerically calculating the regional temperature value, regional humidity value, regional air condition value, regional environmental dust concentration and regional ultraviolet intensity. The regional environmental inspection condition value is numerically compared with the preset regional environmental inspection condition threshold. If the regional environmental inspection condition value exceeds the preset regional inspection condition threshold, it is judged that the controlled object i is in a regional environmental harmful state.

[0016] Furthermore, the specific operation process of the regional construction operation monitoring module includes:

[0017] The control object i is monitored in real time through surveillance cameras, and the risk behaviors of all personnel of the control object i are identified in real time based on the surveillance images. The number of occurrences of risk behaviors and the number of personnel involved in the control object i during the detection period are collected and marked as risk detection frequency values ​​and risk-involved personnel values, and the number of construction safety accidents that occurred in the control object i during the detection period is collected and marked as construction accident frequency values, and the regional personnel measurement value of the control object i is obtained through regional personnel flow monitoring and analysis;

[0018] The regional construction operation monitoring value is obtained by numerically calculating the risk frequency detection value, the risk-involved value, the construction accident frequency value and the regional human measurement value, and the regional construction operation monitoring value is numerically compared with the preset regional construction operation monitoring threshold. If the regional construction operation monitoring value exceeds the preset regional construction operation monitoring threshold, the management symbol SY-1 of the control object i is generated; if the regional construction operation monitoring value does not exceed the preset regional construction operation monitoring threshold, the management symbol SY-2 of the control object i is generated.

[0019] Furthermore, the specific analysis process of regional human flow monitoring and analysis is as follows:

[0020] Several monitoring periods are set during the detection period, and the average number of people existing in the controlled object i during the monitoring period is collected and marked as the presence detection value, and the number of people entering the controlled object i and the number of people leaving the controlled object i during the monitoring period are summed up to obtain the flow detection value; the presence detection value and the flow detection value are numerically compared with the preset presence detection threshold and the preset flow detection threshold, respectively. If the presence detection value or the flow detection value exceeds the corresponding preset threshold, the corresponding monitoring period is marked as a risk period;

[0021] The number of human risk time periods within the detection period is obtained and marked as human risk time-condition values, the average of the presence detection values ​​of all monitoring periods is calculated to obtain the presence condition table value, the average of the flow detection values ​​of all monitoring periods is calculated to obtain the flow condition table value, and the regional human measurement value is obtained by numerically calculating the human risk time-condition value, the presence condition table value and the flow condition table value.

[0022] Furthermore, the Internet of Things supervision platform is communicated with the construction inspection rationality inspection and evaluation module. After the control object i is divided into senior management objects, medium management objects or low management objects, the inspection monitoring cycle is set. The construction inspection rationality inspection and evaluation module determines the inspection execution status of the control object i within the inspection monitoring cycle through inspection rationality detection, evaluation and analysis, and generates a normal inspection rationality signal or an abnormal inspection rationality signal for the control object i, and sends the normal inspection rationality signal or the abnormal inspection rationality signal of the control object i to the background control end via the Internet of Things supervision platform.

[0023] Furthermore, the specific analysis process of inspection rationality detection and evaluation analysis is as follows:

[0024] The total number of inspections of the controlled object i during the inspection and monitoring period is collected and marked as the patrol frequency value, and the time difference between the start time of the corresponding patrol process and the end time of the adjacent previous group of patrol processes is calculated to obtain the patrol interval value, and the patrol interval value is numerically compared with the preset patrol interval threshold. If the patrol interval value exceeds the preset patrol interval threshold, the corresponding patrol interval value is marked as the timeout patrol interval value, and the number of timeout patrol interval values ​​during the patrol and monitoring period is marked as the patrol interval value;

[0025] The patrol condition value of the corresponding patrol process is obtained through patrol performance monitoring and analysis, and the patrol condition value is numerically compared with the preset patrol condition threshold. If the patrol condition value exceeds the preset patrol condition threshold, the corresponding patrol process is marked as a non-good patrol process; the number of non-good patrol processes is obtained and its ratio to the patrol frequency value is marked as a non-good patrol occupancy value, and the patrol evaluation value is obtained by numerically calculating the patrol frequency value, the patrol interval value and the non-good patrol occupancy value, and the patrol evaluation value is numerically compared with the corresponding preset patrol evaluation threshold. If the patrol evaluation value exceeds the preset patrol evaluation threshold, an abnormal patrol rationality signal of the control object i is generated; if the patrol evaluation value does not exceed the preset patrol evaluation threshold, a normal patrol rationality signal of the control object i is generated.

[0026] Furthermore, the specific analysis process of patrol performance monitoring and analysis is as follows:

[0027] The start and end times of the corresponding inspection process are obtained, and the interval between them is marked as the inspection time value, and the deviation value of the inspection time value compared with the preset inspection time standard value is marked as the inspection time evaluation value; the actual inspection trajectory of the corresponding inspection process is collected, and the actual inspection trajectory is compared with the set standard inspection path, and the proportion of the length of the uninspected path in the standard inspection path is marked as the uninspected proportion value;

[0028] In addition, several evaluation periods are set in the corresponding inspection process, the inspection speed in the corresponding evaluation period is collected, and the inspection speed is numerically compared with the preset inspection speed range. If the inspection speed is not within the preset inspection speed range, the corresponding evaluation period is marked as a poor meter inspection and evaluation period; the number of poor meter inspection periods in the corresponding inspection process is obtained and marked as poor meter inspection section values, and the inspection value of the corresponding inspection process is obtained by numerically calculating the inspection time evaluation value, the non-inspection occupancy value and the poor meter inspection section value.

[0029] Furthermore, if the controlled object i is a senior management object, a preset inspection and analysis threshold YK1 is assigned to it; if the controlled object i is a medium management object, a preset inspection and analysis threshold YK2 is assigned to it; if the controlled object i is a low management object, a preset inspection and analysis threshold YK3 is assigned to it, and YK3>YK2>YK1>0.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. In the present invention, the environmental performance and construction operation performance of each construction area are analyzed through the regional environmental table analysis module and the regional construction operation monitoring module, and the environmental risk and construction operation risk level of all construction areas can be accurately fed back in real time. The regional management level assessment module divides the management and control levels of the corresponding construction areas based on the environmental management symbols and management symbols, so that different management plans can be formulated for construction areas of different levels in the future, effectively ensuring the safety of construction sites and significantly reducing the difficulty of management, with a high degree of intelligence;

[0032] 2. In the present invention, the inspection rationality detection, evaluation and analysis are carried out through the construction inspection rationality inspection and evaluation module to determine the inspection execution status of each construction area during the inspection monitoring period, and generate a normal inspection rationality signal or an abnormal inspection rationality signal for the corresponding construction area. It can reasonably judge the subsequent inspection rationality of areas of different levels, and when the abnormal inspection rationality signal is generated, it reminds the background management personnel to strengthen the inspection supervision of the corresponding construction area and the management training of the inspection personnel, thereby improving the inspection performance of all construction areas and further ensuring the construction safety of the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0034] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0035] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Embodiment 1: Figure 1 As shown, the present invention proposes a smart construction site construction safety supervision system based on the Internet of Things, including an Internet of Things supervision platform, a regional environmental table analysis module, a regional construction operation monitoring module, a regional management level assessment module and a background control terminal. The Internet of Things supervision platform is connected to the regional environmental table analysis module, the regional construction operation monitoring module, the regional management level assessment module and the background control terminal through the Internet of Things to achieve the transmission of corresponding information;

[0038] The IoT supervision platform needs to supervise the smart construction site, divide the smart construction site into several construction areas, and mark the corresponding construction area as the control object i, where i is a natural number greater than 1; the regional environmental table analysis module analyzes the environmental performance of the control object i, generates the environmental management symbol KY-1 or KY-2 of the control object i through analysis, and sends the environmental management symbol KY-1 or KY-2 of the control object i to the regional management level assessment module through the IoT supervision platform, which can not only accurately feedback the environmental risks of all construction areas in real time, but also provide information support for the hierarchical assessment process of the regional management level assessment module to ensure the accuracy of its hierarchical assessment results; the specific operation process of the regional environmental table analysis module is as follows:

[0039] Through analysis, it is possible to determine in real time whether the controlled object i is in a state of regional environmental harm. If it is in a state of regional environmental harm, the corresponding judgment information will be sent to the background control terminal through the Internet of Things supervision platform, so as to promptly remind the corresponding management personnel to take reasonable safety control measures to reduce the harm to the personnel in the corresponding construction area; specifically: the regional harmful gas concentration and regional combustible gas concentration of the controlled object i are collected. It should be noted that the regional harmful gas concentration is the concentration and value of all harmful gases that need to be monitored, and the regional combustible gas concentration is the concentration and value of all combustible gases that need to be monitored; the regional harmful gas concentration and the regional combustible gas concentration are numerically compared with the preset regional harmful gas concentration threshold and the preset regional combustible gas concentration threshold, respectively. If the regional harmful gas concentration or the regional combustible gas concentration exceeds the corresponding preset threshold, it indicates that the environmental risk of the controlled object i at the corresponding moment is relatively large, and the controlled object i is judged to be in a state of regional environmental harm;

[0040] If the regional harmful gas concentration and the regional combustible gas concentration do not exceed the corresponding preset threshold values, the regional ambient temperature, regional ambient humidity and regional ambient air pressure of the control object i are collected, and the deviation value of the regional ambient temperature compared to the preset suitable ambient temperature standard value is marked as the regional temperature value, the deviation value of the regional ambient humidity compared to the preset suitable ambient humidity standard value is marked as the regional humidity value, and the deviation value of the regional ambient pressure compared to the preset suitable ambient pressure standard value is marked as the regional air condition value;

[0041] And the regional environmental dust concentration and regional ultraviolet intensity of the controlled object i are collected, and the analytical formula is used The regional temperature value TKi, the regional humidity value TPi, the regional air value TLi, the regional environmental dust concentration TSi and the regional ultraviolet intensity TFi are numerically calculated to obtain the regional environmental inspection value TXi, where a1, a2, a3, a4, and a5 are preset proportional coefficients, and the values ​​of a1, a2, a3, a4, and a5 are all positive numbers;

[0042] Moreover, the larger the value of the regional environmental condition value TXi is, the worse the environmental state of the controlled object i is at the corresponding moment; the regional environmental condition value TXi is numerically compared with the preset regional environmental condition threshold value, and if the regional environmental condition value TXi exceeds the preset regional condition threshold value, it indicates that the environmental state of the controlled object i at the corresponding moment is poor, and the controlled object i is judged to be in a regional environmentally harmful state;

[0043] The number of times that the controlled object i is in a state of causing harm to the regional environment during the detection period is obtained and marked as a harm detection frequency value. Preferably, the detection period is ten days; and the duration of each time that the controlled object i is in a state of causing harm to the regional environment during the detection period is marked as a harm single time value, and all harm single time values ​​of the controlled object i during the detection period are summed up to obtain a harm time value, and the harm single time value is numerically compared with a preset harm single time threshold, and the number of harm single time values ​​exceeding the preset harm single time threshold during the detection period is calculated by ratio with the harm detection frequency value to obtain a harm high proportion value;

[0044] The regional harm assessment value ZPi is obtained by numerically calculating the harm detection frequency value ZFi, the harm condition value ZSi and the harm high occupation value ZKi through the formula ZPi=kp1*ZFi+kp3*ZKi+kp2*ZSi / (kp1+kp2), wherein kp1, kp2 and kp3 are preset proportional coefficients, kp3>kp1>kp2>0; and the larger the value of the regional harm assessment value ZPi is, the greater the environmental risk of the control object i during the detection period is;

[0045] The regional harm assessment value ZPi is numerically compared with the preset regional harm assessment threshold. If the regional harm assessment value ZPi exceeds the preset regional harm assessment threshold, it indicates that the environmental risk of the controlled object i during the detection period is relatively large, and the environmental management symbol KY-1 of the controlled object i is generated; if the regional harm assessment value ZPi does not exceed the preset regional harm assessment threshold, it indicates that the environmental risk of the controlled object i during the detection period is relatively small, and the environmental management symbol KY-2 of the controlled object i is generated.

[0046] The regional construction operation monitoring module analyzes the construction operation performance of the control object i, generates the management symbol SY-1 or SY-2 of the control object i through analysis, and sends the management symbol SY-1 or SY-2 of the control object i to the regional management level assessment module through the Internet of Things supervision platform. It can not only reasonably judge the construction operation risk level of all construction areas, but also provide information support for the hierarchical assessment process of the regional management level assessment module, and further ensure the accuracy of its hierarchical assessment results; the specific operation process of the regional construction operation monitoring module is as follows:

[0047] The control object i is monitored in real time by monitoring cameras, and the risk behaviors of all personnel of the control object i are identified in real time based on the monitoring screen (for example, not wearing or not wearing safety protection equipment correctly, operating mechanical equipment in violation of regulations, staying or resting in dangerous areas, etc.). It should be noted that these risk behaviors can be discovered in time through real-time monitoring and identification technology. Preferably, the regional construction operation monitoring module sends the corresponding risk behaviors to the background control end in real time through the Internet of Things supervision platform to remind the corresponding management personnel or on-site safety personnel to intervene and correct;

[0048] The number of occurrences of risky behaviors and the number of people involved in the control object i during the detection period are collected and marked as risk detection frequency value and risk-involved person value, and the number of construction safety accidents occurring in the control object i during the detection period is collected and marked as construction accident frequency value; it should be noted that the larger the values ​​of the risk detection frequency value, the risk-involved person value and the construction accident frequency value, the worse the construction operation control performance of the control object i during the detection period, and the greater the construction safety hazard;

[0049] And through regional occupancy flow monitoring and analysis, the regional human measurement value of the controlled object i is obtained, specifically: several monitoring periods are set during the detection period, the average number of people existing in the controlled object i during the monitoring period is collected and marked as the occupancy detection value, and the number of people entering the controlled object i and the number of people leaving the controlled object i during the monitoring period are summed up to obtain the flow detection value; the occupancy detection value and the flow detection value are numerically compared with the preset occupancy detection threshold and the preset flow detection threshold respectively. If the occupancy detection value or the flow detection value exceeds the corresponding preset threshold, it indicates that the performance of the people in the controlled object i in the corresponding monitoring period is more complicated, and the corresponding monitoring period is marked as a human risk period;

[0050] The number of human risk time periods in the detection period is obtained and marked as human risk time value, the presence detection values ​​of all monitoring periods are averaged to obtain the presence condition table value, and the flow detection values ​​of all monitoring periods are averaged to obtain the flow condition table value; the human risk time value RYi, the presence condition table value RFi and the flow condition table value RWi are numerically calculated by the formula RXi=fy1*RYi+(fy2*RFi+fy3*RWi) / 2 to obtain the regional human measurement value RXi; wherein fy1, fy2, and fy3 are preset proportional coefficients, fy1>fy3>fy2>0; and the larger the value of the regional human measurement value RXi, the more complex the personnel condition of the controlled object i is during the detection period, and the more likely it is to cause a safety accident;

[0051] The risk detection value WXi, the risk-related value WYi, the construction accident frequency value WSi and the regional human-measured value RXi are numerically calculated by the formula WKi=(b1*WXi+b2*WYi+b3*WSi+b4*RXi) / 4 to obtain the regional construction operation monitoring value WKi, wherein b1, b2, b3, and b4 are preset proportional coefficients, and the values ​​of b1, b2, b3, and b4 are all positive numbers; and the larger the value of the regional construction operation monitoring value WKi, the greater the safety potential of the construction operation in the control object i during the detection period. The greater the hazard; the regional construction operation monitoring value WKi is numerically compared with the preset regional construction operation monitoring threshold. If the regional construction operation monitoring value WKi exceeds the preset regional construction operation monitoring threshold, it indicates that the construction operation safety hazard in the controlled object i during the detection period is relatively large, and the management symbol SY-1 of the controlled object i is generated; if the regional construction operation monitoring value WKi does not exceed the preset regional construction operation monitoring threshold, it indicates that the construction operation safety hazard in the controlled object i during the detection period is relatively small, and the management symbol SY-2 of the controlled object i is generated.

[0052] When the regional management level assessment module receives the environmental management symbol KY-1 or KY-2 and the construction management symbol SY-1 or SY-2 of the control object i, it divides the control level for it. If KY-1∩SY-1 is received, it indicates that the construction risk of the control object i is extremely high in general, and the control object i is marked as a high-level control object; if KY-2∩SY-2 is received, it indicates that the construction risk of the control object i is relatively low in general, and the control object i is marked as a low-level control object. The rest of the cases indicate that the construction risk of the control object i is relatively high in general, and the control object i is marked as a medium-level control object, and the level marking information of the control object i is sent to the background control end via the Internet of Things platform, so that different management plans can be formulated for construction areas of different levels in the future, and different supervision intensities can be imposed to ensure the safety of construction sites and reduce management difficulty.

[0053] Embodiment 2: Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the Internet of Things supervision platform is connected to the construction inspection rationality inspection and evaluation module in communication, and after the control object i is divided into a high-level object, a medium-level object or a low-level object, the inspection and monitoring cycle is set. Preferably, the inspection and monitoring cycle is seven days; the construction inspection rationality inspection and evaluation module judges the inspection execution status of the control object i within the inspection and monitoring cycle through inspection rationality detection, evaluation and analysis, and generates a normal inspection rationality signal or an abnormal inspection rationality signal for the control object i;

[0054] The normal signal of patrol rationality or abnormal signal of patrol rationality of control object i is sent to the background control terminal through the Internet of Things supervision platform. When the background control terminal receives the abnormal signal of patrol rationality, it issues an early warning to remind the background management personnel to strengthen the patrol supervision of the corresponding construction area and increase the management training of the corresponding patrol personnel, so as to improve the patrol performance of all construction areas and further ensure the safety of construction site. The specific analysis process of patrol rationality detection and evaluation analysis is as follows:

[0055] The total number of inspections of the controlled object i during the inspection and monitoring period is collected and marked as the patrol frequency value, and the time difference between the start time of the corresponding patrol process and the end time of the adjacent previous group of patrol processes is calculated to obtain the patrol interval value, and the patrol interval value is numerically compared with the preset patrol interval threshold. If the patrol interval value exceeds the preset patrol interval threshold, the corresponding patrol interval value is marked as the timeout patrol interval value, and the number of timeout patrol interval values ​​during the patrol and monitoring period is marked as the patrol interval value;

[0056] The patrol performance monitoring and analysis is performed to obtain the patrol condition value XKi of the corresponding patrol process, specifically: the start time and end time of the corresponding patrol process are obtained, and the interval between the two is marked as the patrol time value, and the deviation value of the patrol time value compared with the preset patrol time standard value is marked as the patrol time inspection value; when the patrol time inspection value is large, it indicates that the corresponding patrol process is too fast or too slow, and the patrol performance is poor; the actual patrol trajectory of the corresponding patrol process is collected, and the actual patrol trajectory is compared with the set standard patrol path, and the proportion of the length of the unpatrolled path in the standard patrol path of the corresponding patrol process is marked as the unpatrolled analysis value;

[0057] In addition, several evaluation periods are set in the corresponding inspection process, and the inspection speed in the corresponding evaluation period is collected, wherein the inspection speed is a data value indicating the length of the inspection path per unit time; the inspection speed is numerically compared with the preset inspection speed range, and if the inspection speed is not within the preset inspection speed range, indicating that the inspection performance in the corresponding evaluation period is poor, the corresponding evaluation period is marked as a poor meter inspection evaluation period, and the number of poor meter inspection periods in the corresponding inspection process is obtained and marked as a poor meter inspection section value;

[0058] By formula The patrol time inspection evaluation value XFi, the unpatrolled occupancy analysis value XPi and the bad meter patrol section value XLi are numerically calculated to obtain the patrol condition value XKi of the corresponding patrol process; wherein eq1, eq2 and eq3 are preset proportional coefficients, eq2>eq3>eq1>0; and the larger the value of the patrol condition value XKi, the worse the patrol performance of the corresponding patrol process;

[0059] The patrol condition value XKi is numerically compared with the preset patrol condition threshold. If the patrol condition value XKi exceeds the preset patrol condition threshold, it indicates that the patrol performance of the corresponding patrol process is poor, and the corresponding patrol process is marked as a non-good patrol process; the number of non-good patrol processes is obtained and its ratio to the patrol frequency value is marked as a non-good patrol occupancy value, and the patrol frequency value PLi, the patrol interval value PSi and the non-good patrol occupancy value PFi are numerically calculated by the formula PXi=(tp2*PSi+tp3*PFi+1) / (tp1*PLi+0.835) to obtain the patrol evaluation value PXi; wherein tp1, tp2, and tp3 are preset proportional coefficients, tp3>tp2>tp1>0; and the larger the value of the patrol evaluation value PXi, the worse the patrol condition for the control object i during the patrol monitoring period;

[0060] If the control object i is a senior management object, a preset inspection and analysis threshold value YK1 is assigned to it; if the control object i is a medium management object, a preset inspection and analysis threshold value YK2 is assigned to it; if the control object i is a low management object, a preset inspection and analysis threshold value YK3 is assigned to it, and YK3>YK2>YK1>0. By targeting different levels of construction areas and assigning them corresponding preset inspection and analysis threshold values, it is helpful to ensure the accuracy of the analysis results;

[0061] The inspection evaluation value PXi is numerically compared with the corresponding preset inspection evaluation threshold. If the inspection evaluation value PXi exceeds the preset inspection evaluation threshold, it indicates that the inspection condition for the control object i during the inspection and monitoring period is poor, and an inspection rationality abnormality signal for the control object i is generated; if the inspection evaluation value PXi does not exceed the preset inspection evaluation threshold, it indicates that the inspection condition for the control object i during the inspection and monitoring period is good, and a inspection rationality normal signal for the control object i is generated.

[0062] The working principle of the present invention: when in use, the smart construction site that needs to be supervised by the Internet of Things supervision platform is divided into several construction areas. The regional environmental table analysis module analyzes the environmental performance of each construction area, and generates environmental management symbols matching each construction area through analysis. The regional construction operation monitoring module analyzes the construction operation performance of each construction area, and generates management symbols matching each construction area through analysis. It can not only provide real-time and accurate feedback on the environmental risk and construction operation risk level of all construction areas, but also provide information support for the hierarchical evaluation process of the regional management level assessment module to ensure the accuracy of its hierarchical evaluation results; and the regional management level assessment module divides the corresponding construction area into management and control levels based on the environmental management symbols and management symbols, so as to formulate different management plans for construction areas of different levels in the future, and impose different supervision intensities to ensure the safety of construction site construction and reduce management difficulty, with a high degree of intelligence.

[0063] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A smart construction site safety supervision system based on the Internet of Things, characterized in that: It includes an Internet of Things supervision platform, a regional environmental table analysis module, a regional construction operation monitoring module, a regional management level assessment module and a backend management and control terminal; the smart construction site that needs to be supervised by the Internet of Things supervision platform is divided into several construction areas, and the corresponding construction area is marked as a management object i, and i is a natural number greater than 1; the regional environmental table analysis module analyzes the environmental performance status of the management object i, generates the environmental management symbol KY-1 or KY-2 of the management object i through analysis, and sends the environmental management symbol KY-1 or KY-2 of the management object i to the regional management level assessment module via the Internet of Things supervision platform; The regional construction operation monitoring module analyzes the construction operation performance of the control object i, generates the management symbol SY-1 or SY-2 of the control object i through the analysis, and sends the management symbol SY-1 or SY-2 of the control object i to the regional management level assessment module via the Internet of Things supervision platform; the regional management level assessment module divides the control level of the control object i upon receiving the environmental management symbol KY-1 or KY-2 and the management symbol SY-1 or SY-2 of the control object i. If KY-1∩SY-1 is received, the control object i is marked as a senior management object; if KY-2∩SY-2 is received, the control object i is marked as a low management object; in other cases, the control object i is marked as a medium management object, and the level marking information of the control object i is sent to the background control end via the Internet of Things platform; The specific operation process of the regional ring table analysis module includes: Through analysis, it is judged in real time whether the controlled object i is in a state of regional environmental harm. If it is in a state of regional environmental harm, the corresponding judgment information is sent to the background control end through the Internet of Things supervision platform; the number of times the controlled object i is in a state of regional environmental harm during the detection period is obtained and marked as the harm detection frequency value, and the duration of each time the controlled object i is in a state of regional environmental harm during the detection period is marked as the harm single time value, and all the harm single time values ​​of the controlled object i during the detection period are summed up to obtain the harm time value, and the number of harm single time values ​​exceeding the preset harm single time threshold is calculated by ratio with the harm detection frequency value to obtain the harm high proportion value; The regional harm evaluation value is obtained by numerically calculating the harm detection frequency value, the harm time value and the harm high occupation value, and the regional harm evaluation value is numerically compared with the preset regional harm evaluation threshold. If the regional harm evaluation value exceeds the preset regional harm evaluation threshold, the environmental management symbol KY-1 of the control object i is generated; if the regional harm evaluation value does not exceed the preset regional harm evaluation threshold, the environmental management symbol KY-2 of the control object i is generated; The analysis and judgment methods of regional environmental damage status are as follows: The regional harmful gas concentration and the regional combustible gas concentration of the controlled object i are collected, and the regional harmful gas concentration and the regional combustible gas concentration are numerically compared with the preset regional harmful gas concentration threshold and the preset regional combustible gas concentration threshold, respectively. If the regional harmful gas concentration or the regional combustible gas concentration exceeds the corresponding preset threshold, it is judged that the controlled object i is in a regional environmental harmful state; If the regional harmful gas concentration and the regional combustible gas concentration do not exceed the corresponding preset thresholds, the regional ambient temperature, regional ambient humidity and regional ambient air pressure of the control object i are collected, and the deviation value of the regional ambient temperature compared to the preset suitable ambient temperature standard value is marked as the regional temperature value. Similarly, the regional humidity value and regional air value are obtained; and collecting the regional environmental dust concentration and regional ultraviolet intensity of the controlled object i, obtaining the regional environmental condition value by numerically calculating the regional temperature value, the regional humidity value, the regional air condition value, the regional environmental dust concentration and the regional ultraviolet intensity, and numerically comparing the regional environmental condition value with the preset regional environmental condition threshold value; if the regional environmental condition value exceeds the preset regional condition threshold value, it is judged that the controlled object i is in a regional environmentally harmful state; The specific operation process of the regional construction operation monitoring module includes: The control object i is monitored in real time through surveillance cameras, and the risk behaviors of all personnel of the control object i are identified in real time based on the surveillance images. The number of occurrences of risk behaviors and the number of personnel involved in the control object i during the detection period are collected and marked as risk detection frequency values ​​and risk-involved personnel values, and the number of construction safety accidents that occurred in the control object i during the detection period is collected and marked as construction accident frequency values, and the regional personnel measurement value of the control object i is obtained through regional personnel flow monitoring and analysis; The regional construction operation monitoring value is obtained by numerically calculating the risk frequency detection value, the risk-involved value, the construction accident frequency value and the regional human measurement value, and the regional construction operation monitoring value is numerically compared with the preset regional construction operation monitoring threshold. If the regional construction operation monitoring value exceeds the preset regional construction operation monitoring threshold, the management symbol SY-1 of the control object i is generated; if the regional construction operation monitoring value does not exceed the preset regional construction operation monitoring threshold, the management symbol SY-2 of the control object i is generated; The specific analysis process of regional human flow monitoring and analysis is as follows: Several monitoring periods are set during the detection period, and the average number of people existing in the controlled object i during the monitoring period is collected and marked as the presence detection value, and the number of people entering the controlled object i and the number of people leaving the controlled object i during the monitoring period are summed up to obtain the flow detection value; the presence detection value and the flow detection value are numerically compared with the preset presence detection threshold and the preset flow detection threshold, respectively. If the presence detection value or the flow detection value exceeds the corresponding preset threshold, the corresponding monitoring period is marked as a risk period; The number of human risk time periods in the detection period is obtained and marked as human risk time value, the average of the human presence detection values ​​of all monitoring periods is calculated to obtain the human presence status table value, the average of the flow detection values ​​of all monitoring periods is calculated to obtain the flow status table value, and the regional human measurement value is obtained by numerically calculating the human risk time value, the human presence status table value and the flow status table value; The Internet of Things supervision platform is connected to the construction inspection rationality evaluation module in communication. After the control object i is divided into a senior management object, a medium management object or a low management object, the inspection monitoring cycle is set. The construction inspection rationality evaluation module judges the inspection execution status of the control object i within the inspection monitoring cycle through inspection rationality detection, evaluation and analysis, and generates a normal inspection rationality signal or an abnormal inspection rationality signal for the control object i, and sends the normal inspection rationality signal or the abnormal inspection rationality signal of the control object i to the background control end via the Internet of Things supervision platform; The specific analysis process of inspection rationality detection and evaluation analysis is as follows: The total number of inspections of the controlled object i during the inspection and monitoring period is collected and marked as the patrol frequency value, and the time difference between the start time of the corresponding patrol process and the end time of the adjacent previous group of patrol processes is calculated to obtain the patrol interval value, and the patrol interval value is numerically compared with the preset patrol interval threshold. If the patrol interval value exceeds the preset patrol interval threshold, the corresponding patrol interval value is marked as the timeout patrol interval value, and the number of timeout patrol interval values ​​during the patrol and monitoring period is marked as the patrol interval value; The patrol condition value of the corresponding patrol process is obtained through patrol performance monitoring and analysis, and the patrol condition value is numerically compared with the preset patrol condition threshold. If the patrol condition value exceeds the preset patrol condition threshold, the corresponding patrol process is marked as a non-good patrol process; the number of non-good patrol processes is obtained and the ratio of it to the patrol frequency value is marked as a non-good patrol occupancy value, and the patrol evaluation value is obtained by numerically calculating the patrol frequency value, the patrol interval value and the non-good patrol occupancy value, and the patrol evaluation value is numerically compared with the corresponding preset patrol evaluation threshold. If the patrol evaluation value exceeds the preset patrol evaluation threshold, an abnormal patrol rationality signal of the control object i is generated; if the patrol evaluation value does not exceed the preset patrol evaluation threshold, a normal patrol rationality signal of the control object i is generated; The specific analysis process of patrol performance monitoring and analysis is as follows: The start and end times of the corresponding inspection process are obtained, and the interval between them is marked as the inspection time value, and the deviation value of the inspection time value compared with the preset inspection time standard value is marked as the inspection time evaluation value; the actual inspection trajectory of the corresponding inspection process is collected, and the actual inspection trajectory is compared with the set standard inspection path, and the proportion of the length of the uninspected path in the standard inspection path is marked as the uninspected proportion value; In addition, several evaluation periods are set in the corresponding inspection process, and the inspection speed in the corresponding evaluation period is collected. The inspection speed is numerically compared with the preset inspection speed range. If the inspection speed is not within the preset inspection speed range, the corresponding evaluation period is marked as a poor meter inspection evaluation period. The number of poor meter inspection periods in the corresponding inspection process is obtained and marked as poor meter inspection section values. The inspection value of the corresponding inspection process is obtained by numerically calculating the inspection time evaluation value, the non-inspection occupancy analysis value and the poor meter inspection section value. If the controlled object i is a senior management object, a preset inspection and analysis threshold value YK1 is assigned to it; if the controlled object i is a medium management object, a preset inspection and analysis threshold value YK2 is assigned to it; if the controlled object i is a low management object, a preset inspection and analysis threshold value YK3 is assigned to it, and YK3>YK2>YK1>0.

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