CN117854228A - Security protection equipment job site safety precaution system based on artificial intelligence - Google Patents
Security protection equipment job site safety precaution system based on artificial intelligence Download PDFInfo
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Abstract
The invention belongs to the technical field of construction supervision of security equipment, in particular to a security equipment construction site security early warning system based on artificial intelligence, which comprises an intelligent management platform, a fence demarcation monitoring module, a boundary hidden danger capturing and evaluating module, a constructor health state monitoring module, a construction external influence detecting module and a construction security comprehensive evaluating module; according to the invention, the boundary hidden danger capturing and evaluating module captures a dynamic object at the boundary of the area and evaluates the boundary hidden danger, the constructor health state monitoring module monitors the health state of constructors on the construction site of the security equipment, the construction external influence detecting module monitors the environment condition and the personnel construction condition of the construction site of the security equipment in real time and evaluates the environment condition and the personnel construction condition accurately, comprehensive and intelligent supervision of the construction site of the security equipment is realized, so that corresponding improvement measures can be timely and targeted, the construction safety and the personnel safety of the construction site of the security equipment are ensured, and the management difficulty of management personnel is remarkably reduced.
Description
Technical Field
The invention relates to the technical field of construction supervision of security equipment, in particular to a security early warning system of a security equipment construction site based on artificial intelligence.
Background
The construction of the security equipment is a process of protecting and maintaining the safety of buildings, structures and related areas by using advanced scientific and technical means and installing and configuring a series of equipment, facilities, systems and the like so as to improve the security capability, and in the construction process of the security equipment, a construction site is required to be monitored to ensure the construction safety;
the traditional construction site safety management mainly relies on manual inspection and monitoring, but the method has the problems of low efficiency, easy error, incapability of real-time early warning and the like, can not realize comprehensive and intelligent supervision of the construction site of the security equipment, is not beneficial to timely and pertinently making corresponding improvement measures, is difficult to ensure the construction safety and personnel safety of the construction site of the security equipment, and has great workload and management difficulty;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a security equipment construction site security early warning system based on artificial intelligence, which solves the problems that the prior art cannot realize comprehensive and intelligent supervision early warning on the security equipment construction site, cannot guarantee the construction safety and personnel safety of the security equipment construction site, and has large management difficulty and low intelligent degree.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the security equipment construction site security early warning system based on artificial intelligence comprises an intelligent management platform, a fence demarcation monitoring module, a boundary hidden danger capturing and evaluating module, a constructor health state monitoring module, a construction external influence detecting module and a construction security comprehensive evaluating module; the fence dividing and setting monitoring module acquires the construction position of the security equipment, takes the construction position of the security equipment as a central point, divides a circle with the radius of R1, marks the divided circular area as a fence area, monitors the area boundary of the fence area in real time, and sends a real-time monitoring video to the boundary hidden danger capturing and evaluating module through the intelligent management platform;
the boundary hidden danger capturing and evaluating module is used for capturing a dynamic object at the boundary of the area based on the real-time monitoring video, generating a boundary high hidden danger signal or a boundary low hidden danger signal through analysis, and transmitting the boundary high hidden danger signal to the construction safety comprehensive evaluating module through the intelligent management platform; the constructor health state monitoring module is used for monitoring the health state of constructors on the construction site of the security equipment, generating a health state qualified signal or a health state unqualified signal through analysis, and sending the health state unqualified signal to the construction safety comprehensive evaluation module through the intelligent management platform;
the construction external influence detection module is used for monitoring the environmental condition of the construction site of the security equipment and the construction condition of personnel in real time, generating an external influence qualified signal or an external influence unqualified signal through analysis, and transmitting the external influence unqualified signal to the construction safety comprehensive evaluation module through the intelligent management platform; the construction safety comprehensive evaluation module generates construction early warning information when receiving boundary high hidden danger signals, health state disqualification signals or external influence disqualification signals, and sends the construction early warning information to the safety monitoring end through the intelligent management platform, and the safety monitoring end displays the construction early warning information and sends corresponding early warning.
Further, the specific operation process of the boundary hidden danger capturing and evaluating module comprises the following steps:
capturing a dynamic object at the boundary of the area based on the real-time monitoring video, and generating a boundary potential-hazard signal if the dynamic object entering the fence area exists; if the dynamic object entering the fence area does not exist, acquiring the dynamic object which is positioned outside the fence area and is within L1 meters from the corresponding boundary of the fence area, and marking the corresponding dynamic object as an object to be entered;
acquiring a motion path of a corresponding object to be input, determining an access object through column input prediction analysis, acquiring the number of the object to be input, marking the number of the object to be input as a detection value to be input, acquiring the number of the access object, carrying out ratio calculation on the number of the object to be input and the detection value to be input to obtain an access detection value, carrying out numerical calculation on the detection value to be input and the access detection value to obtain a boundary hidden danger value, carrying out numerical comparison on the boundary hidden danger value and a preset boundary hidden danger threshold value, and generating a boundary high hidden danger signal if the boundary hidden danger value exceeds the preset boundary hidden danger threshold value; and if the boundary hidden danger value does not exceed the preset boundary hidden danger threshold value, generating a boundary low hidden danger signal.
Further, the specific analysis process of the column entry prediction analysis is as follows:
and marking the real-time distance between the corresponding object to be checked in and the corresponding boundary of the fence area as a checking value, marking the distance reduction speed between the corresponding object to be checked in and the boundary of the fence area as a checking value, carrying out numerical calculation on the checking value and the checking value to obtain a checking value to be checked in, carrying out numerical comparison on the checking value to be checked in and a preset checking threshold to be checked in, and marking the corresponding object to be checked in as an admittance object if the checking value to be checked in exceeds the preset checking threshold to be checked in.
Further, the specific operation process of the health state monitoring module of the constructor comprises the following steps:
collecting heart rate data, body temperature data and respiratory rate data of constructors corresponding to a detection period, calculating a difference value between the heart rate data and a median value of a preset heart rate data range, taking an absolute value to obtain a heart rate real monitoring value, and similarly obtaining a body temperature real monitoring value and a respiratory real monitoring value; the heart rate real monitoring value, the body temperature real monitoring value and the respiration real monitoring value are subjected to numerical calculation to obtain a body condition real monitoring value, all the body condition real monitoring values in unit time are subjected to mean value calculation and variance calculation to obtain a body condition average value and a body condition dispersion value, the body condition average value and the body condition dispersion value are respectively subjected to numerical comparison with a preset body condition average value threshold value and a preset body condition dispersion value threshold value, and if the body condition average value exceeds the preset body condition average value threshold value or the body condition dispersion value exceeds the preset body condition dispersion value threshold value, a health state disqualification signal of corresponding constructors is generated.
Further, if the body condition average value and the body condition dispersion value do not exceed the corresponding preset threshold values, the daily deep sleep time length of the corresponding constructor in k adjacent days is acquired, average value calculation is carried out on all the deep sleep time lengths to obtain a deep sleep detection value, the last rest time length of the corresponding constructor adjacent is acquired and marked as an adjacent rest time detection value, and time difference calculation is carried out on the current time and the last rest end time of the adjacent to obtain a construction time detection value;
the health evaluation value is obtained by carrying out numerical calculation on the body condition average value, the deep sleep detection value, the neighbor detection value and the construction detection value, the health evaluation value is compared with a preset health evaluation threshold value, and if the health evaluation value exceeds the preset health evaluation threshold value, a health state disqualification signal of a corresponding constructor is generated; and if the health evaluation value does not exceed the preset health evaluation threshold, generating a health status qualification signal of the corresponding constructor.
Further, the specific operation process of the construction external influence detection module comprises the following steps:
collecting the height of the position of the corresponding constructor compared with the ground, marking the height as a ground clearance detection value, carrying out average calculation on the ground clearance detection values of all constructors to obtain a ground clearance analysis value, marking the ground clearance detection value with the largest value as a ground clearance amplitude value, respectively carrying out numerical comparison on the ground clearance analysis value and the ground clearance amplitude value with a preset ground clearance threshold value and a preset ground clearance threshold value, and if the ground clearance analysis value or the ground clearance amplitude value exceeds the corresponding preset threshold value, assigning a position height influence value WP1 to the ground clearance analysis value; if the ground clearance analysis value and the ground clearance amplitude value do not exceed the corresponding preset threshold values, a bit height influence value WP2 is allocated to the ground clearance analysis value and the ground clearance amplitude value, and WP1 is more than WP2 and more than 0;
the method comprises the steps of obtaining a weather detection value and a ring detection value through analysis, multiplying the weather detection value and the ring detection value with corresponding bit height influence values to obtain a weather detection condition value and a ring detection condition value, respectively comparing the weather detection condition value and the ring detection condition value with a preset weather detection condition threshold value and a preset ring detection condition threshold value in a numerical mode, and if the weather detection condition value or the ring detection condition value exceeds the corresponding preset threshold value, assigning a bit ring judgment symbol WF-1 to the weather detection condition value or the ring detection condition value; if the weather condition value and the ring condition value do not exceed the corresponding preset threshold values, a bit ring judgment symbol WF-2 is given to the weather condition value and the ring condition value;
real-time monitoring is carried out on constructors on the construction site of the security equipment, real-time operation monitoring images are acquired, safety violation behaviors of the constructors are captured based on the real-time operation monitoring images, the occurrence times of all the safety violations in unit time are marked as construction risk operation frequency, the duration time of all the safety violations in unit time is summed up and calculated to obtain construction risk operation time, the construction risk operation frequency and the construction risk operation time are respectively compared with a preset construction risk operation frequency threshold value and a preset construction risk operation time threshold value, and if the construction risk operation frequency or the construction risk operation time exceeds the corresponding preset threshold value, an operation judgment symbol WY1 is given to the construction risk operation frequency or the construction risk operation time; if the construction risk operation frequency and the construction risk operation time length do not exceed the corresponding preset thresholds, an operation judgment symbol WY2 is given to the construction risk operation frequency and the construction risk operation time length;
intersection analysis is carried out on the bit ring judgment symbol and the Shi Cao judgment symbol, and if WF-2U WY2 is obtained, an external influence qualified signal is generated; the rest of the cases generate external influence disqualification signals.
Further, the method for analyzing and acquiring the meteorological detection value and the loop quality detection value comprises the following steps:
collecting a direct illumination value, a rain and snow detection value and a wind speed detection value of a security equipment construction site, marking a deviation value of a real-time temperature value of the security equipment construction site where a constructor is located compared with a preset proper construction temperature standard value as a construction Wen Kuangzhi, and marking a deviation value of a real-time humidity value of the security equipment construction site where the constructor is located compared with the preset proper construction humidity standard value as a construction wet condition value; calculating the direct illumination value, the rain and snow detection value, the wind speed detection value, the construction Wen Kuang value and the construction wet condition value to obtain a weather judgment value, and calculating the average value of all weather judgment values in unit time to obtain a weather detection value;
harmful gas data, noise data and dust data of a security equipment construction site are collected, a ring quality judgment value is obtained by carrying out numerical calculation on the harmful gas data, the noise data and the dust data, and a ring quality detection value is obtained by carrying out average calculation on all ring quality judgment values in unit time.
Further, the intelligent management platform is in communication connection with the construction site management evaluation module, the construction site management evaluation module is used for setting a management evaluation period, collecting the generation times of construction early warning information in the management evaluation period and marking the generation times as construction alarm analysis values, collecting the generation time of the corresponding construction early warning information and marking the generation time as alarm application time, marking the interval time between two adjacent sets of alarm application time as alarm time, and carrying out average calculation on all alarm time to obtain a construction alarm condition value;
and carrying out numerical calculation on the construction alarm value and the construction alarm condition value to obtain a construction pipe evaluation value, carrying out numerical comparison on the construction pipe evaluation value and a preset construction pipe evaluation threshold value, generating a pipe evaluation abnormal signal if the construction pipe evaluation value exceeds the preset construction pipe evaluation threshold value, and sending the pipe evaluation abnormal signal to a safety supervision pipe end through an intelligent management platform, wherein the safety supervision pipe end receives the pipe evaluation abnormal signal and sends out corresponding early warning.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, a fence area is set by the fence-dividing monitoring module, the boundary is monitored in real time, the boundary hidden danger capturing and evaluating module captures a dynamic object at the boundary of the area and evaluates the boundary hidden danger, the constructor health status monitoring module monitors the health status of constructors on the construction site of the security equipment, the construction external influence detecting module monitors the environmental condition and the personnel construction condition of the construction site of the security equipment in real time and evaluates the environmental condition and the personnel construction condition accurately, comprehensive and intelligent supervision on the construction site of the security equipment is realized, the construction safety and personnel safety of the construction site of the security equipment are ensured, and the management difficulty of management personnel is remarkably reduced;
2. according to the invention, the construction site management evaluation module is used for setting the management evaluation period, reasonably analyzing and accurately evaluating the supervision performance condition of the construction process of the security equipment in the management evaluation period, judging whether to generate the management evaluation abnormal signal, and enabling the security monitoring terminal to send out corresponding early warning when the management evaluation abnormal signal is generated so as to remind a manager to timely strengthen the supervision of the construction site of the security equipment and further ensure the security of the construction site of the security equipment.
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 system block diagram of a first embodiment of the present invention;
fig. 2 is a system block diagram of 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.
Embodiment one: as shown in FIG. 1, the safety precaution system of the construction site of the security equipment based on artificial intelligence comprises an intelligent management platform, a fence demarcation monitoring module, a boundary hidden danger capturing and evaluating module, a constructor health state monitoring module, a construction external influence detecting module and a construction safety comprehensive evaluating module; the fence dividing and setting monitoring module obtains the construction position of the security equipment, takes the construction position of the security equipment as a central point and divides a circle with the radius of R1, and preferably, R1 is not less than five meters; marking the marked circular area as a fence area, carrying out real-time monitoring on the area boundary of the fence area through a camera, and sending a real-time monitoring video to a boundary hidden danger capturing and evaluating module through an intelligent management platform;
the boundary hidden danger capturing and evaluating module is used for capturing dynamic objects at the boundary of the area based on the real-time monitoring video, generating a boundary high hidden danger signal or a boundary low hidden danger signal through analysis, and sending the boundary high hidden danger signal to the construction safety comprehensive evaluating module through the intelligent management platform, so that effective monitoring of the boundary of the area at the construction site of the security equipment is realized, intelligent supervision of the boundary of the corresponding area is facilitated, and the construction safety of the construction site of the security equipment is remarkably improved; the specific operation process of the boundary hidden danger capturing and evaluating module is as follows:
based on the real-time monitoring video, capturing dynamic objects (including people, vehicles and the like which do not belong to the construction site of security equipment) at the boundary of the area, and if the dynamic objects entering the fence area exist, generating a boundary potential high-risk signal; if the dynamic object entering the fence area does not exist, acquiring the dynamic object which is positioned outside the fence area and is positioned in L1 meters away from the corresponding boundary of the fence area, wherein L1 is preferably 1.5 meters; and marking the corresponding dynamic object as an object to be entered; the motion path of the corresponding object to be entered is collected and analyzed through column entry prediction to determine the access object, specifically:
marking a real-time distance between a corresponding object to be input and a corresponding boundary of a fence area as an input distance detection value, marking a distance reduction speed between the corresponding object to be input and the boundary of the fence area as an input speed detection value, and carrying out numerical calculation on the input distance detection value RK and the input speed detection value RL through a formula RX=ew1/RK+ew2 to obtain an input analysis value RX, wherein, ew1 and ew2 are preset proportionality coefficients, and ew1 > ew2 > 0; and, the larger the value of the to-be-detected value RX, the more tends to break through the boundary and enter the fence area; comparing the value RX of the to-be-checked-out with a preset to-be-checked-out threshold value, and marking the corresponding to-be-checked-in object as an admittance object if the value RX of the to-be-checked-in-check-out exceeds the preset to-be-checked-out threshold value, which indicates that the corresponding dynamic object has larger risk to the construction site of the security equipment;
acquiring the number of objects to be input, marking the number of objects to be input as a detection value to be input, acquiring the number of access objects, and calculating the ratio of the number of access objects to the detection value to be input to obtain an access detection value, and calculating the value of the detection value to be input BY and the access detection value BF to obtain a boundary hidden danger value BX through a formula BX=eg1+1+2+eg2+BF, wherein eg1 and eg2 are preset proportionality coefficients, and eg2 > eg1 > 0; moreover, the larger the numerical value of the boundary hidden trouble value BX is, the larger the potential safety hazard brought to the construction site of the security equipment is;
comparing the boundary hidden danger value BX with a preset boundary hidden danger threshold value, and if the boundary hidden danger value BX exceeds the preset boundary hidden danger threshold value, indicating that the potential safety hazard existing at the boundary of the fence area is larger, and not beneficial to ensuring the safety of the construction site of the security equipment, generating a boundary high hidden danger signal; if the boundary hidden danger value BX does not exceed the preset boundary hidden danger threshold value, the potential safety hazard existing at the boundary of the fence area is smaller, the safety of the construction site of the security equipment is guaranteed, and a boundary low hidden danger signal is generated.
The constructor health state monitoring module is used for monitoring the health state of constructors on the construction site of the security equipment, generating a health state qualified signal or a health state unqualified signal through analysis, and sending the health state unqualified signal to the construction safety comprehensive evaluation module through the intelligent management platform, so that the physical sign monitoring of the constructors on the construction site of the security equipment is realized, the corresponding constructors can rest in time and reasonably replace the constructors, and the constructor safety and the construction stability of the construction site of the security equipment are ensured; the specific operation process of the constructor health state monitoring module is as follows:
the heart rate data, the body temperature data and the respiratory rate data of constructors corresponding to the detection period are acquired through corresponding intelligent wearing equipment, the difference value between the heart rate data and the median value of a preset heart rate data range is calculated, the absolute value is taken to obtain a heart rate real monitoring value, and the body temperature real monitoring value and the respiratory real monitoring value are acquired in a similar way; the heart rate real supervision value GF, the body temperature real supervision value GW and the respiration real supervision value GP are subjected to numerical calculation through a formula GX= (b1+b2 xGW+b3 xGP)/3 to obtain a body condition real supervision value GX; wherein b1, b2 and b3 are preset proportionality coefficients, and the values of b1, b2 and b3 are all larger than zero; and the larger the value of the real monitored value GX of the body condition is, the worse the physical sign condition of the corresponding constructor is indicated at the corresponding moment;
carrying out mean value calculation and variance calculation on all body condition actual monitored values in unit time to obtain a body condition mean value and a body condition dispersion value, wherein the larger the value of the body condition mean value is, the worse the sign of a corresponding constructor is indicated; the larger the value of the body condition dispersion value is, the more unstable the physical sign condition of the corresponding constructor is; respectively comparing the body condition average value and the body condition dispersion value with a preset body condition average value threshold value and a preset body condition dispersion value threshold value, and if the body condition average value exceeds the preset body condition average value threshold value or the body condition dispersion value exceeds the preset body condition dispersion value threshold value, indicating that the construction risk of corresponding constructors is large in the comprehensive aspect, generating a health state disqualification signal of the corresponding constructors;
if the average value and the dispersion value of the body condition do not exceed the corresponding preset threshold values, the daily deep sleep time of the corresponding constructor in k days is acquired, and k is preferably three days; the average value of all the deep sleep time lengths is calculated to obtain a deep sleep detection value, the time length of the corresponding constructor adjacent to the last rest in the current construction process is collected and marked as an adjacent rest time detection value, and the time difference between the current time and the adjacent last rest end time is calculated to obtain the construction time detection value; when the number of the detection value is smaller in the adjacent construction and the number of the detection value is larger in the construction, the current state of the corresponding constructor can be primarily judged to be tired;
carrying out numerical calculation on a body condition average value FW, a deep sleep detection value FS, an adjacent sleep detection value FL and a construction detection value FK through a formula FX=hy1+ (hy4+hy1)/(hy2+FS+hy3+0.325), wherein the values of hy1, hy2, hy3 and hy4 are all larger than zero; moreover, the larger the value of the health evaluation value FX is, the worse the health state of the corresponding constructor is, and the construction safety is not guaranteed;
comparing the health evaluation value FX with a preset health evaluation threshold value, and if the health evaluation value FX exceeds the preset health evaluation threshold value, indicating that the health state of the corresponding constructor is poor, ensuring the construction safety, and generating a health state disqualification signal of the corresponding constructor if the constructor needs to replace the constructor in time and arrange for rest; if the health evaluation value FX does not exceed the preset health evaluation threshold, the health state of the corresponding constructor is better, the construction safety is guaranteed, and a health state qualification signal of the corresponding constructor is generated.
The construction external influence detection module is used for monitoring the environmental condition of the construction site of the security equipment and the construction condition of personnel in real time, generating an external influence qualified signal or an external influence unqualified signal through analysis, and sending the external influence unqualified signal to the construction safety comprehensive evaluation module through the intelligent management platform, so that the security auxiliary detection analysis and the accurate feedback of the construction site of the security equipment are realized, corresponding improvement measures are timely made, and the security of the construction site of the security equipment is further ensured; the concrete operation process of the construction external influence detection module is as follows:
collecting the height of the position of the corresponding constructor compared with the ground, marking the height as a ground clearance detection value, carrying out average calculation on the ground clearance detection values of all constructors to obtain a ground clearance analysis value, marking the ground clearance detection value with the largest value as a ground clearance amplitude value, respectively carrying out numerical comparison on the ground clearance analysis value and the ground clearance amplitude value with a preset ground clearance threshold value and a preset ground clearance threshold value, and if the ground clearance analysis value or the ground clearance amplitude value exceeds the corresponding preset threshold value, assigning a position height influence value WP1 to the ground clearance analysis value; if the ground clearance analysis value and the ground clearance amplitude value do not exceed the corresponding preset threshold values, a bit height influence value WP2 is allocated to the ground clearance analysis value and the ground clearance amplitude value, and WP1 is more than WP2 and more than 0;
the meteorological detection value and the ring quality detection value are obtained through analysis, and the method specifically comprises the following steps: collecting harmful gas data, noise data and dust data of a security equipment construction site, wherein the harmful gas data are data magnitude values representing concentration and value of corresponding harmful gas (mainly sulfur dioxide, carbon monoxide and the like) in the security equipment construction site, the dust data are data magnitude values representing concentration of dust particles in the security equipment construction site, and the noise data are data magnitude values representing noise decibel value of the security equipment construction site;
calculating the values of harmful gas data HY, noise data HK and dust data HQ according to a formula HX=eq1+eq3 hQ+eq2 HK/(eq1+eq3), wherein eq1, eq2 and eq3 are preset proportionality coefficients, and the values of eq1, eq2 and eq3 are positive numbers; and the larger the numerical value of the ring quality judgment value HX is, the worse the environment condition of the construction site of the security equipment at the corresponding moment is, and the more unfavorable the construction safety is ensured; performing average value calculation on all ring quality judgment values in unit time to obtain ring quality detection values;
collecting a direct illumination value, a rain and snow detection value and a wind speed detection value of a security equipment construction site, wherein the direct illumination value refers to a data value of illumination intensity irradiated on the security equipment construction site, the rain and snow detection value refers to a data value of the degree of rain and snow of the security equipment construction site, and the wind speed detection value refers to a data value of the wind speed of the security equipment construction site; marking a deviation value of a real-time temperature value of a construction site of security equipment where a constructor is located compared with a preset proper construction temperature standard value as a construction Wen Kuangzhi, and marking a deviation value of a real-time humidity value of the construction site of the security equipment where the constructor is located compared with the preset proper construction humidity standard value as a construction wet condition value;
calculating the direct illumination value TZ, the rain and snow detection value TY, the wind speed detection value TK, the construction Wen Kuangzhi TP and the construction wet condition value TS according to a formula TX= (c1×TZ+c2×TY+c3×TK+c4×TP+c5×TS)/5 to obtain a weather determination value TX, wherein c1, c2, c3, c4 and c5 are preset proportionality coefficients, and the values of c1, c2, c3, c4 and c5 are positive numbers; moreover, the larger the numerical value of the weather determination value TX is, the worse the weather condition of the construction site of the security equipment at the corresponding moment is, and the greater the construction risk is brought; carrying out average value calculation on all weather determination values in unit time to obtain weather detection values;
multiplying the weather detection value and the ring detection value with corresponding bit height influence values respectively to obtain a weather detection condition value and a ring detection condition value, respectively carrying out numerical comparison on the weather detection condition value and the ring detection condition value with a preset weather detection condition threshold value and a preset ring detection condition threshold value, and if the weather detection condition value or the ring detection condition value exceeds the corresponding preset threshold value, indicating that the environmental condition of the security equipment construction site is poor, assigning a bit ring judgment symbol WF-1 to the security equipment construction site; if the weather detection condition value and the ring quality detection condition value do not exceed the corresponding preset threshold values, indicating that the environmental condition of the construction site of the security equipment is good, giving a bit ring judgment symbol WF-2 to the security equipment;
real-time monitoring is carried out on constructors on the construction site of the security equipment, real-time operation monitoring images are acquired, security violations of the constructors (such as a safety helmet is not worn, a violation operation device is not worn, and the like) are captured based on the real-time operation monitoring images, management staff can set the security violations to be monitored in advance), the occurrence times of all the security violations in unit time are marked as construction risk operation frequency, and the duration time of all the security violations in unit time is summed up and calculated to obtain construction risk operation time;
respectively carrying out numerical comparison on the construction risk operation frequency and the construction risk operation time length, and a preset construction risk operation frequency threshold value and a preset construction risk operation time length threshold value, and if the construction risk operation frequency or the construction risk operation time length exceeds the corresponding preset threshold value, indicating that the operation performance of constructors on the construction site of the security equipment is poor, assigning an operation judgment symbol WY1 to the constructors; if the construction risk operation frequency and the construction risk operation time do not exceed the corresponding preset thresholds, indicating that the operation performance of constructors on the construction site of the security equipment is good, assigning an operation judgment symbol WY2 to the constructors;
intersection analysis is carried out on the bit ring judgment symbol and the Shi Cao judgment symbol, and if WF-2U WY2 is obtained, an external influence qualified signal is generated; the rest of the cases generate external influence disqualification signals. Further, the construction safety comprehensive evaluation module generates construction early warning information when receiving boundary high hidden danger signals, health state disqualification signals or external influence disqualification signals, and sends the construction early warning information to the safety monitoring pipe end through the intelligent management platform, the safety monitoring pipe end displays the construction early warning information and sends corresponding early warning, and when receiving corresponding early warning, management staff can timely and pertinently make corresponding improvement measures to ensure construction safety and personnel safety of a construction site of security equipment, and is favorable for ensuring construction quality and construction efficiency, and the intelligent degree is high and obviously reduces management difficulty of management staff.
Embodiment two: as shown in fig. 2, the difference between this embodiment and embodiment 1 is that the intelligent management platform is in communication connection with a construction site evaluation module, and the construction site evaluation module is used for setting an evaluation period, preferably, the evaluation period is two hours; collecting the generation times of construction early warning information in a management evaluation period, marking the generation times as construction alarm analysis values, collecting the generation time of corresponding construction early warning information, marking the generation time as alarm application time, marking the interval time between two adjacent sets of alarm application time as alarm time, and carrying out average value calculation on all alarm time to obtain construction alarm condition values;
carrying out numerical calculation on a construction alarm analysis value QF and a construction alarm condition value QK through a formula QX=a1×QF/(a 2×QK+1) to obtain a construction pipe evaluation value QX, wherein a1 and a2 are preset proportionality coefficients, and the values of a1 and a2 are both larger than zero; and the larger the construction pipe evaluation value QX is, the worse the supervision performance of the construction process of the security equipment is in the management evaluation period; and carrying out numerical comparison on the construction pipe evaluation value QX and a preset construction pipe evaluation threshold value, if the construction pipe evaluation value QX exceeds the preset construction pipe evaluation threshold value, generating a pipe evaluation abnormal signal when the supervision performance aiming at the construction process of the security equipment is poor in the pipe evaluation period, sending the pipe evaluation abnormal signal to a security monitoring pipe end through an intelligent management platform, and sending corresponding early warning by a security monitoring end receiving the pipe evaluation abnormal signal so as to remind a manager to timely strengthen the supervision of the construction site of the security equipment and further ensure the security of the construction site of the security equipment.
The working principle of the invention is as follows: when the intelligent monitoring system is used, a monitoring module is arranged through the fence to set a fence area, the area boundary of the fence area is monitored in real time, a boundary hidden danger capturing and evaluating module captures a dynamic object at the area boundary based on a real-time monitoring video, a boundary high hidden danger signal or a boundary low hidden danger signal is generated through analysis, effective monitoring of the area boundary at the construction site of the security equipment is achieved, health state monitoring is carried out on constructors on the construction site of the security equipment through a constructor health state monitoring module, health state qualified signals or health state unqualified signals are generated through analysis, the environment condition and personnel construction condition of the construction site of the security equipment are monitored in real time through a construction external influence detecting module, external influence qualified signals or external influence unqualified signals are generated through analysis, security auxiliary detection analysis on the construction site of the security equipment is achieved, accurate feedback is achieved, construction information is sent to a security pipe end through a construction security comprehensive evaluating module when the boundary high hidden danger signals, the health state unqualified signals or the external influence unqualified signals are generated, corresponding improvement measures are timely and made in a targeted mode, the construction security and the security of the security equipment construction site is guaranteed, the management personnel is remarkably reduced, and the intelligent monitoring degree is high.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. The safety precaution system based on the artificial intelligence for the construction site of the security equipment is characterized by comprising an intelligent management platform, a fence demarcation monitoring module, a boundary hidden danger capturing and evaluating module, a constructor health state monitoring module, a construction external influence detecting module and a construction safety comprehensive evaluating module; the fence dividing and setting monitoring module acquires the construction position of the security equipment, takes the construction position of the security equipment as a central point, divides a circle with the radius of R1, marks the divided circular area as a fence area, monitors the area boundary of the fence area in real time, and sends a real-time monitoring video to the boundary hidden danger capturing and evaluating module through the intelligent management platform;
the boundary hidden danger capturing and evaluating module is used for capturing a dynamic object at the boundary of the area based on the real-time monitoring video, generating a boundary high hidden danger signal or a boundary low hidden danger signal through analysis, and transmitting the boundary high hidden danger signal to the construction safety comprehensive evaluating module through the intelligent management platform; the constructor health state monitoring module is used for monitoring the health state of constructors on the construction site of the security equipment, generating a health state qualified signal or a health state unqualified signal through analysis, and sending the health state unqualified signal to the construction safety comprehensive evaluation module through the intelligent management platform;
the construction external influence detection module is used for monitoring the environmental condition of the construction site of the security equipment and the construction condition of personnel in real time, generating an external influence qualified signal or an external influence unqualified signal through analysis, and transmitting the external influence unqualified signal to the construction safety comprehensive evaluation module through the intelligent management platform; the construction safety comprehensive evaluation module generates construction early warning information when receiving boundary high hidden danger signals, health state disqualification signals or external influence disqualification signals, and sends the construction early warning information to the safety monitoring end through the intelligent management platform, and the safety monitoring end displays the construction early warning information and sends corresponding early warning.
2. The security early warning system for the construction site of the security equipment based on the artificial intelligence according to claim 1, wherein the specific operation process of the boundary hidden danger capturing and evaluating module comprises the following steps:
capturing a dynamic object at the boundary of the area based on the real-time monitoring video, and generating a boundary potential-hazard signal if the dynamic object entering the fence area exists; if the dynamic object entering the fence area does not exist, acquiring the dynamic object which is positioned outside the fence area and is within L1 meters from the corresponding boundary of the fence area, and marking the corresponding dynamic object as an object to be entered;
acquiring a motion path of a corresponding object to be input, determining an access object through column input prediction analysis, acquiring the number of the object to be input, marking the number of the object to be input as a detection value to be input, acquiring the number of the access object, carrying out ratio calculation on the number of the object to be input and the detection value to be input to obtain an access detection value, carrying out numerical calculation on the detection value to be input and the access detection value to obtain a boundary hidden danger value, and generating a boundary high hidden danger signal if the boundary hidden danger value exceeds a preset boundary hidden danger threshold value; and if the boundary hidden danger value does not exceed the preset boundary hidden danger threshold value, generating a boundary low hidden danger signal.
3. The security pre-warning system based on the artificial intelligence of the construction site of the security equipment according to claim 2, wherein the specific analysis process of the column entry prediction analysis is as follows:
and marking the real-time distance between the corresponding object to be input and the corresponding boundary of the fence area as an input distance detection value, marking the distance reduction speed between the corresponding object to be input and the boundary of the fence area as an input speed detection value, carrying out numerical calculation on the input distance detection value and the input speed detection value to obtain an to-be-input analysis value, and marking the corresponding object to be input as an access object if the to-be-input analysis value exceeds a preset to-be-input analysis threshold.
4. The security device construction site security pre-warning system based on artificial intelligence according to claim 1, wherein the specific operation process of the constructor health status monitoring module comprises:
collecting heart rate data, body temperature data and respiratory rate data of constructors corresponding to a detection period, calculating a difference value between the heart rate data and a median value of a preset heart rate data range, taking an absolute value to obtain a heart rate real monitoring value, and similarly obtaining a body temperature real monitoring value and a respiratory real monitoring value; the heart rate real monitoring value, the body temperature real monitoring value and the respiration real monitoring value are subjected to numerical calculation to obtain a body condition real monitoring value, all the body condition real monitoring values in unit time are subjected to mean value calculation and variance calculation to obtain a body condition average value and a body condition dispersion value, and if the body condition average value exceeds a preset body condition average value threshold or the body condition dispersion value exceeds a preset body condition dispersion value threshold, a health state disqualification signal of corresponding constructors is generated.
5. The security and protection equipment construction site security early warning system based on artificial intelligence according to claim 4, wherein if the average value of the body condition and the dispersion value of the body condition do not exceed the corresponding preset threshold values, the daily deep sleep time of the corresponding constructor in k days is collected, average value calculation is carried out on all the deep sleep time to obtain a deep sleep detection value, the last rest time of the corresponding constructor is collected and marked as a neighbor time detection value, and time difference calculation is carried out on the current time and the last rest time of the neighbor to obtain a construction time detection value;
the health evaluation value is obtained by carrying out numerical computation on the body condition average value, the deep sleep detection value, the neighbor detection value and the construction detection value, and if the health evaluation value exceeds a preset health evaluation threshold, a health status disqualification signal of a corresponding constructor is generated; and if the health evaluation value does not exceed the preset health evaluation threshold, generating a health status qualification signal of the corresponding constructor.
6. The security and protection equipment construction site security pre-warning system based on artificial intelligence according to claim 1, wherein the specific operation process of the construction external influence detection module comprises:
collecting the height of the position of the corresponding constructor compared with the ground, marking the height as a ground clearance detection value, carrying out average calculation on the ground clearance detection values of all constructors to obtain a ground clearance analysis value, marking the ground clearance detection value with the largest value as a ground clearance amplitude value, and if the ground clearance analysis value or the ground clearance amplitude value exceeds a corresponding preset threshold value, distributing a position height influence value WP1 to the ground clearance analysis value or the ground clearance amplitude value; if the ground clearance analysis value and the ground clearance amplitude value do not exceed the corresponding preset threshold values, a bit height influence value WP2 is allocated to the ground clearance analysis value and the ground clearance amplitude value, and WP1 is more than WP2 and more than 0;
the method comprises the steps of obtaining a weather detection value and a ring quality detection value through analysis, multiplying the weather detection value and the ring quality detection value with corresponding bit height influence values respectively to obtain a weather detection condition value and a ring quality detection condition value, and if the weather detection condition value or the ring quality detection condition value exceeds a corresponding preset threshold value, assigning a bit ring judgment symbol WF-1 to the weather detection condition value or the ring quality detection condition value; if the weather condition value and the ring condition value do not exceed the corresponding preset threshold values, a bit ring judgment symbol WF-2 is given to the weather condition value and the ring condition value;
real-time monitoring is carried out on constructors on the construction site of the security equipment, real-time operation monitoring images are acquired, security violation behaviors of the constructors are captured based on the real-time operation monitoring images, the occurrence times of all the security violations in unit time are marked as construction risk operation frequency, the duration time of all the security violations in unit time is summed up and calculated to obtain construction risk operation time, and if the construction risk operation frequency or the construction risk operation time exceeds a corresponding preset threshold value, an operation judgment symbol WY1 is given to the construction risk operation frequency or the construction risk operation time; if the construction risk operation frequency and the construction risk operation time length do not exceed the corresponding preset thresholds, an operation judgment symbol WY2 is given to the construction risk operation frequency and the construction risk operation time length;
intersection analysis is carried out on the bit ring judgment symbol and the Shi Cao judgment symbol, and if WF-2U WY2 is obtained, an external influence qualified signal is generated; the rest of the cases generate external influence disqualification signals.
7. The artificial intelligence based security equipment construction site security pre-warning system according to claim 6, wherein the analysis and acquisition method of the meteorological detection value and the ring quality detection value is as follows:
collecting a direct illumination value, a rain and snow detection value and a wind speed detection value of a security equipment construction site, marking a deviation value of a real-time temperature value of the security equipment construction site where a constructor is located compared with a preset proper construction temperature standard value as a construction Wen Kuangzhi, and marking a deviation value of a real-time humidity value of the security equipment construction site where the constructor is located compared with the preset proper construction humidity standard value as a construction wet condition value; calculating the direct illumination value, the rain and snow detection value, the wind speed detection value, the construction Wen Kuang value and the construction wet condition value to obtain a weather judgment value, and calculating the average value of all weather judgment values in unit time to obtain a weather detection value;
harmful gas data, noise data and dust data of a security equipment construction site are collected, a ring quality judgment value is obtained by carrying out numerical calculation on the harmful gas data, the noise data and the dust data, and a ring quality detection value is obtained by carrying out average calculation on all ring quality judgment values in unit time.
8. The construction site safety early warning system based on the artificial intelligence according to claim 1, wherein the intelligent management platform is in communication connection with a construction site management and evaluation module, the construction site management and evaluation module is used for setting a management and evaluation period, collecting the generation times of construction early warning information in the management and evaluation period and marking the generation times as construction alarm analysis values, collecting the generation time of corresponding construction early warning information and marking the generation time as alarm application time, marking the interval time between two adjacent sets of alarm application time as alarm time, and carrying out average calculation on all alarm time to obtain a construction alarm condition value;
and carrying out numerical calculation on the construction alarm value and the construction alarm condition value to obtain a construction pipe evaluation value, generating a pipe evaluation abnormal signal if the construction pipe evaluation value exceeds a preset construction pipe evaluation threshold value, and sending the pipe evaluation abnormal signal to a safety supervision end through an intelligent management platform, wherein the safety supervision end receives the pipe evaluation abnormal signal and sends out corresponding early warning.
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