CN116339214A - Construction site safety monitoring system based on data analysis - Google Patents
Construction site safety monitoring system based on data analysis Download PDFInfo
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- 238000007405 data analysis Methods 0.000 title claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims abstract description 47
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
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Abstract
The invention relates to the technical field of construction site safety monitoring, which is used for solving the problem that the safety monitoring analysis of a construction elevator, a crane and a material hoister is difficult to achieve in the existing process of safety monitoring of the construction site, so that the safety risk of the construction site cannot be early-warned in time, in particular to a construction site safety monitoring system based on data analysis, comprising: the system comprises a data acquisition unit, a construction elevator safety monitoring unit, a crane safety monitoring unit, a material lifting safety monitoring unit, a construction site safety early warning unit and a cloud database. According to the invention, through the modes of formula calculation, model analysis and data comparison, the operation states of the construction elevator, the crane and the material hoist are monitored, so that comprehensive consideration analysis and safety early warning of the safety state of the construction site are realized, the safety management of the target construction site is improved, and the safety of construction workers is ensured.
Description
Technical Field
The invention relates to the technical field of construction site safety monitoring, in particular to a construction site safety monitoring system based on data analysis.
Background
The building industry has been developed and precipitated for decades, and is continuously deepened in management system, production mode, organization structure and the like, but due to various factors, the supervision and management of the building site field still face a plurality of problems.
For example, in the management of construction elevators in construction sites, maintenance is usually performed regularly or after the construction elevators have problems, and the safety of the operation of the construction elevators cannot be ensured, so that the safety monitoring of the construction elevators in the construction sites needs to be perfected;
for example, in the safety monitoring management of the crane, the monitoring of abnormal sound and abnormal vibration existing in the crane is often ignored, so that the abnormal hoisting state of the crane cannot be judged and analyzed in time, and the risk of construction on the construction site is increased;
for example, in the safety monitoring management of the material hoister, the operation state of the material hoister cannot be comprehensively monitored in a construction site, so that the stable operation of the material hoister cannot be ensured, and the risk of construction on the construction site is increased.
In order to solve the above-mentioned defect, a technical scheme is provided.
Disclosure of Invention
The invention aims to provide a construction site safety monitoring system based on data analysis.
The aim of the invention can be achieved by the following technical scheme: a job site safety monitoring system based on data analysis, comprising: the system comprises a data acquisition unit, a construction elevator safety monitoring unit, a crane safety monitoring unit, a material lifting safety monitoring unit, a construction site safety early warning unit and a cloud database;
the data acquisition unit is used for acquiring the running state information of a construction elevator, a crane and a material hoister on a target building construction site;
the construction elevator safety monitoring unit is used for monitoring elevator operation parameters of the construction elevator at the current time point corresponding to the target building construction site, so that the elevator state of the target construction elevator at the current time point is analyzed;
the crane safety monitoring unit is used for monitoring crane operation parameters of a crane at the current time point corresponding to the target building construction site, so that the hoisting state of the target crane at the current time point is analyzed;
the material lifting safety monitoring unit is used for monitoring lifting operation parameters of the material lifting machine at the current time point corresponding to the target building construction site so as to analyze the lifting state of the target material lifting machine at the current time point;
the construction site safety early warning unit is used for carrying out corresponding safety early warning analysis operation based on the running state, the crane lifting state, the using state and the electric state of the construction elevator at the current time point of the target building construction site;
the cloud database is used for storing a construction elevator safety classification condition table of a target construction elevator, storing a lifting safety classification condition table of a target crane, storing a use state safety classification condition table of a target material hoist, storing an electrical state safety classification condition table of the target material hoist, and storing rated use frequency, rated maintenance times and rated mechanical wear values of the target material hoist.
Preferably, the monitoring of the elevator operation parameters of the construction elevator at the current time point corresponding to the target building construction site comprises the following specific monitoring process:
monitoring the running speed of a target construction elevator in a unit time period, taking time as an abscissa and the corresponding running speed of corresponding time as an ordinate, and establishing a construction elevator running speed coordinate system and a construction elevator running speed broken line according to the running speed; counting the inflection point number of the target construction elevator running speed broken line on the construction elevator running speed coordinate system, marking the inflection point number as m1, obtaining m1+1 unit line segments, calculating the slope value formed between each unit line segment and the horizontal line, carrying out average value processing on the slope value of each unit line segment, and carrying out average value processing according to an average value formula
Obtaining a speed fluctuation coefficient vb of the target construction elevator, wherein k represents a slope value of a unit line segment;
monitoring the load of the target construction elevator in the same unit time period, comparing and analyzing the actual load of the target construction elevator with the rated load of the construction elevator each time, judging the load state of the target construction elevator as overload when the actual load of the target construction elevator is larger than the set rated load, otherwise, judging the load state of the target construction elevator as normal when the actual load of the target construction elevator is smaller than or equal to the set rated load, counting the times that the target construction elevator is judged as overload in the unit time period, dividing and analyzing the times with the total judging times of the target construction elevator in the unit time period according to a formula
From this, the load floating coefficient fb of the target construction elevator is obtained, where s Total (S) Representing the total number of times s of judging the load state of the target construction elevator in a unit time period Super-energy storage device Indicating the sum of the number of times the target construction elevator is calibrated to be overloaded per unit time period.
Preferably, the elevator state of the current time point of the target construction elevator is analyzed, and the specific analysis process is as follows:
acquiring the values of a speed fluctuation coefficient and a load floating coefficient in elevator operation parameters of a construction elevator in real time, carrying out normalization analysis on the values, and obtaining a state coefficient Esc of a target construction elevator according to a set formula Esc=ρ1×vb+ρ2×fb, wherein vb is represented as the speed fluctuation coefficient of the construction elevator, fb is represented as the load floating coefficient of the construction elevator, ρ1 and ρ2 are weight factor coefficients of the speed fluctuation coefficient and the load floating coefficient respectively, and ρ1 and ρ2 are natural numbers larger than 0;
comparing the state coefficient of the construction elevator at the current time point with a set elevator state threshold value, if the state coefficient of the construction elevator at the current time point is larger than the set elevator state threshold value, judging that the running state of the target construction elevator corresponding to the current time point is a severe abnormal running state, calling the deformation value of each stress component of the target construction elevator according to the state coefficient, setting a plurality of gradient deformation threshold ranges of the deformation value of the stress component, and substituting the deformation value of each stress component into the preset gradient deformation threshold ranges respectively for comparison analysis;
when the deformation value of the target force-bearing component is within a preset first gradient deformation threshold range, the target force-bearing component is judged to be slightly deformed, when the deformation value of the target force-bearing component is within a preset second gradient deformation threshold range, the target force-bearing component is judged to be moderately deformed, when the deformation value of the target force-bearing component is within a preset third gradient deformation threshold range, the target force-bearing component is judged to be heavily deformed, the ratio of the number of the force-bearing components calibrated to be moderately deformed and severely deformed is calculated and is recorded as Zbx, when Zbx (i/2) or more is met, an overhaul stop instruction is generated, and when Zbx < (i/2) or less is met, three-level abnormal grades are generated, wherein i represents the total number of the force-bearing components divided by the target construction elevator;
when the state coefficient of the construction elevator at the current time point is smaller than or equal to the set elevator state threshold value, judging that the running state of the target construction elevator corresponding to the current time point is in a slight abnormal running state, and comparing and matching the state coefficient of the construction elevator at the current time point with a construction elevator safety classification condition table stored in a cloud database for analysis, thereby obtaining the safety class of the target construction elevator.
Preferably, the monitoring of the crane operation parameters of the crane at the current time point corresponding to the target building construction site specifically comprises the following monitoring process:
acquiring each main component of the target crane, monitoring the vibration amplitude state of each main component of the target crane through a vibration sensor, extracting the vibration characteristic value of each main component of the target crane at the current time point from the vibration amplitude state, and recording the vibration characteristic value as zcv j Wherein j=1, 2,3 … … n1;
acquisition orderThe noise state of each connecting component of the target crane is monitored through an acoustic sensor, the abnormal sound characteristic value of the current time point of each connecting component of the target crane is extracted from the noise state, and the abnormal sound characteristic value is recorded as asv p Where p=1, 2,3 … … n2.
Preferably, the hoisting state of the target crane at the current time point is analyzed, and the specific analysis process is as follows:
capturing the vibration characteristic value of each main component of the target crane in real time, performing differential analysis on the vibration characteristic value and the vibration characteristic value of each main component in a normal state, and according to a formula tzc i ＝∣zcv i -zcv i * And obtaining the vibration characteristic difference tzc of each main component i Therein zcv i * A vibration characteristic value representing a main component in a normal state;
capturing abnormal sound characteristic values of all connecting parts of the target crane in real time, performing differential analysis on the abnormal sound characteristic values and the abnormal sound characteristic values of all connecting parts in a normal state, and according to a formula txc p ＝∣asv p -asv p * And obtaining abnormal sound characteristic difference txc of each main component p Wherein asv p * Abnormal sound characteristic values of the connecting component in a normal state are represented;
comprehensively analyzing the vibration characteristic difference of each main component of the target crane at the current time point and the abnormal sound characteristic difference of each connecting part according to a set formula
Obtaining a hoisting state coefficient qzx of the target crane, wherein λ1 and λ2 are correction factor coefficients of the vibration characteristic difference and the abnormal sound characteristic difference respectively, and λ1 and λ2 are natural numbers larger than 0, and e represents a constant;
and comparing and matching the lifting state coefficient corresponding to the current time point of the target crane with a lifting safety grading condition table stored in the cloud database, so as to obtain the lifting safety grade corresponding to the current time point of the target crane, wherein each lifting state coefficient of the crane has a lifting safety grade corresponding to the lifting safety grade.
Preferably, the analyzing the lifting state of the target material lifting machine at the current time point specifically includes the following steps:
extracting rated use frequency, rated maintenance times and rated mechanical abrasion values of the target material hoister from the cloud database, and marking the rated use frequency, the rated maintenance times and the rated mechanical abrasion values as fxr, fwx and fmv respectively;
real-time monitoring actual use frequency, actual maintenance times and actual mechanical abrasion values in lifting operation parameters of the target material lifting machine, and calibrating the actual use frequency, the actual maintenance times and the actual mechanical abrasion values into acr, awx and ams respectively;
according to the set formula
Obtaining a use state index tsx of the target material hoister, wherein e represents a constant, gamma 1, gamma 2 and gamma 3 are weight factor coefficients of actual use frequency, actual maintenance times and actual mechanical abrasion values respectively, and gamma 1, gamma 2 and gamma 3 are natural numbers larger than 0;
monitoring lifting height, lifting speed and driving pressure in lifting operation parameters of a target material lifter in real time, calibrating the lifting height, the lifting speed and the driving pressure as gd, sd and qy respectively, carrying out normalization analysis on the lifting height, the lifting speed and the driving pressure, and obtaining an electrical state index dqx of the material lifter according to a set formula dqx =δ1gd+δ2sd+δ3qy, wherein δ1, δ2 and δ3 are normalization factors of the lifting height, the lifting speed and the driving pressure respectively, and δ1, δ2 and δ3 are natural numbers larger than 0;
and comparing and matching the use state index and the electrical state index of the target material elevator with the use state safety classification condition table and the electrical state safety classification condition table of the material elevator stored in the cloud database respectively, and obtaining the use state safety grade and the electrical state safety grade of the target material elevator.
The invention has the beneficial effects that:
according to the invention, the operation parameters of the construction elevator are defined by utilizing the coordinate model establishment, slope analysis and data comparison modes, and the elevator state of the target construction elevator is analyzed by utilizing the symbolic calibration, normalized analysis and gradient data substitution comparison analysis modes, so that the operation state of the target construction elevator is definitely judged and analyzed, and a foundation is laid for ensuring the safety of a construction site;
the lifting safety level of the target crane is defined through the modes of data characteristic value extraction, data differencing, data synthesis and data comparison;
the lifting state of the target material lifting machine is comprehensively analyzed from the use state safety level and the electric state safety level by adopting a formula calculation and item-by-item data comparison mode;
and the method adopts the modes of grade early warning analysis and data display, so that the safety early warning of each operation device of the target building construction site is realized, the safety management of the target construction site is improved, and the safety of construction workers is ensured.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram 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.
Referring to fig. 1, the present invention is a construction site safety monitoring system based on data analysis, comprising: the system comprises a data acquisition unit, a construction elevator safety monitoring unit, a crane safety monitoring unit, a material lifting safety monitoring unit, a construction site safety early warning unit and a cloud database.
The cloud database is used for storing a construction elevator safety classification condition table of a target construction elevator, storing a lifting safety classification condition table of a target crane, storing a use state safety classification condition table of a target material hoist, storing an electrical state safety classification condition table of the target material hoist, and storing rated use frequency, rated maintenance times and rated mechanical wear values of the target material hoist.
It is to be noted that the data acquisition unit, the construction elevator safety monitoring unit, the crane safety monitoring unit and the material lifting safety monitoring unit are respectively connected with the cloud database, and the construction elevator safety monitoring unit, the crane safety monitoring unit and the material lifting safety monitoring unit are respectively connected with the construction site safety early warning unit.
The data acquisition unit is used for acquiring elevator operation parameters of a construction elevator, crane operation parameters of a crane and lifting operation parameters of a material lifting machine on a target building construction site, and respectively transmitting the elevator operation parameters, the crane operation parameters and the lifting operation parameters of the material lifting machine to the construction elevator safety monitoring unit, the crane safety monitoring unit and the material lifting safety monitoring unit through the cloud database.
The construction elevator safety monitoring unit is used for monitoring elevator operation parameters of the construction elevator at the current time point corresponding to the target building construction site, and the specific monitoring process is as follows:
monitoring the running speed of a target construction elevator in a unit time period, taking time as an abscissa and the corresponding running speed of corresponding time as an ordinate, and establishing a construction elevator running speed coordinate system and a construction elevator running speed broken line according to the running speed; counting the inflection point number of the target construction elevator running speed broken line on the construction elevator running speed coordinate system, marking the inflection point number as m1, obtaining m1+1 unit line segments, calculating the slope value formed between each unit line segment and the horizontal line, carrying out average value processing on the slope value of each unit line segment, and carrying out average value processing according to an average value formula
Obtaining a speed fluctuation coefficient vb of the target construction elevator, wherein k represents a slope value of a unit line segment;
it should be noted that, assuming that the unit time period is divided into n monitoring moments, the n monitoring moments are t1, t2, t3 … … tn in sequence, when the running speed of the construction elevator at the t1 monitoring moment is v1, the running speed of the construction elevator at the t2 monitoring moment is v2, the running speed of the construction elevator at the t3 monitoring moment is v1, and v1 is less than v2, t1, t2 and t3 form an inflection point;
by observing and analyzing the coordinate system diagram of the operation speed of the construction elevator, the operation state of the elevator can be more intuitively known, abnormal conditions can be timely found, and corresponding measures can be taken to ensure the safe operation of the elevator;
monitoring the load of the target construction elevator in the same unit time period, comparing and analyzing the actual load of the target construction elevator with the rated load of the construction elevator each time, judging the load state of the target construction elevator as overload when the actual load of the target construction elevator is larger than the set rated load, otherwise, judging the load state of the target construction elevator as normal when the actual load of the target construction elevator is smaller than or equal to the set rated load, counting the times that the target construction elevator is judged as overload in the unit time period, dividing and analyzing the times with the total judging times of the target construction elevator in the unit time period according to a formula
From this, the load floating coefficient fb of the target construction elevator is obtained, where s Total (S) Representing the total number of times s of judging the load state of the target construction elevator in a unit time period Super-energy storage device Representing the sum of times that the target construction elevator is calibrated to be overloaded in a unit time period;
it should be noted that the load refers to the total weight of the person or article that the construction elevator can carry, and the actual load indicates that the construction elevator is in progress.
The elevator state of the current time point of the target construction elevator is analyzed, and the specific analysis process is as follows:
acquiring the values of a speed fluctuation coefficient and a load floating coefficient in elevator operation parameters of a construction elevator in real time, carrying out normalization analysis on the values, and obtaining a state coefficient Esc of a target construction elevator according to a set formula Esc=ρ1×vb+ρ2×fb, wherein vb is represented as the speed fluctuation coefficient of the construction elevator, fb is represented as the load floating coefficient of the construction elevator, ρ1 and ρ2 are weight factor coefficients of the speed fluctuation coefficient and the load floating coefficient respectively, ρ1 and ρ2 are natural numbers larger than 0, and the weight factor coefficients are used for balancing the duty ratio weight of each item of data in formula calculation, so that the accuracy of a calculation result is promoted;
comparing the state coefficient of the construction elevator at the current time point with a set elevator state threshold value, if the state coefficient of the construction elevator at the current time point is larger than the set elevator state threshold value, judging that the running state of the target construction elevator corresponding to the current time point is a severe abnormal running state, calling the deformation value of each stress component of the target construction elevator according to the state coefficient, setting a plurality of gradient deformation threshold ranges of the deformation value of the stress component, and substituting the deformation value of each stress component into the preset gradient deformation threshold ranges respectively for comparison analysis;
the gradient deformation threshold range comprises a first gradient deformation threshold range, a second gradient deformation threshold range and a third gradient deformation threshold range, and the threshold ranges of the first gradient deformation threshold range, the second gradient deformation threshold range and the third gradient deformation threshold range are increased in a gradient manner;
when the deformation value of the target force-bearing component is within a preset first gradient deformation threshold range, the target force-bearing component is judged to be slightly deformed, when the deformation value of the target force-bearing component is within a preset second gradient deformation threshold range, the target force-bearing component is judged to be moderately deformed, when the deformation value of the target force-bearing component is within a preset third gradient deformation threshold range, the target force-bearing component is judged to be heavily deformed, the ratio of the number of the force-bearing components calibrated to be moderately deformed and severely deformed is calculated and is recorded as Zbx, when Zbx (i/2) or more is met, an overhaul stop command is generated, the generated overhaul stop command is sent to a construction site safety early warning unit for early warning analysis, and according to the generated overhaul stop command, the target construction elevator is immediately stopped, and corresponding personnel are assigned to carry out overhaul operation on the target construction elevator;
when Zbx < (i/2) is met, generating three-level abnormal grades, wherein i represents the total number of stressed components divided by a target construction elevator, and sending the generated three-level abnormal grades to a construction site safety early warning unit, so that the running state of the construction elevator is subjected to early warning analysis through a display terminal, and display and explanation are carried out on the display terminal;
when the state coefficient of the construction elevator at the current time point is smaller than or equal to a set elevator state threshold value, judging that the running state of the target construction elevator corresponding to the current time point is a slight abnormal running state, and comparing and matching the state coefficient of the construction elevator at the current time point with a construction elevator safety classification condition table stored in a cloud database for analysis, thereby obtaining the safety class of the target construction elevator;
each state coefficient of the construction elevator is provided with a safety grade corresponding to the state coefficient, and the safety grade comprises a first-level abnormal grade, a second-level abnormal grade and a third-level abnormal grade;
and the generated first-level abnormal grade, second-level abnormal grade and third-level abnormal grade are sent to a construction site safety early warning unit, so that the operation state of the construction elevator is subjected to early warning analysis through a display terminal, and display description is carried out on the display terminal.
The crane safety monitoring unit is used for monitoring crane operation parameters of a crane at the current time point corresponding to a target building construction site, and the specific monitoring process is as follows:
acquiring each main component of the target crane, monitoring the vibration amplitude state of each main component of the target crane through a vibration sensor, extracting the vibration characteristic value of each main component of the target crane at the current time point from the vibration amplitude state, and recording the vibration characteristic value as zcv j Where j=1, 2,3 … … n1, j represents the number of main components of the target crane, and the main components include the boom, the lifting mechanism, the base, the motor, the hydraulic equipment;
acquiring each connecting component of the target crane, monitoring the noise state of each connecting component of the target crane through an acoustic sensor, and obtaining the noise stateExtracting abnormal sound characteristic values of each connecting component of the target crane at the current time point, and simultaneously recording the abnormal sound characteristic values as asv p Where p=1, 2,3 … … n2, p denotes the number of connecting parts of the target crane;
the hoisting state of the target crane at the current time point is analyzed, and the specific analysis process is as follows:
capturing the vibration characteristic value of each main component of the target crane in real time, performing differential analysis on the vibration characteristic value and the vibration characteristic value of each main component in a normal state, and according to a formula tzc i ＝∣zcv i -zcv i * And obtaining the vibration characteristic difference tzc of each main component i Therein zcv i * A vibration characteristic value representing a main component in a normal state;
capturing abnormal sound characteristic values of all connecting parts of the target crane in real time, performing differential analysis on the abnormal sound characteristic values and the abnormal sound characteristic values of all connecting parts in a normal state, and according to a formula txc p ＝∣asv p -asv p * And obtaining abnormal sound characteristic difference txc of each main component p Wherein asv p * Abnormal sound characteristic values of the connecting component in a normal state are represented;
comprehensively analyzing the vibration characteristic difference of each main component of the target crane at the current time point and the abnormal sound characteristic difference of each connecting part according to a set formula
Obtaining a hoisting state coefficient qzx of the target crane, wherein λ1 and λ2 are correction factor coefficients of vibration characteristic differences and abnormal sound characteristic differences respectively, λ1 and λ2 are natural numbers larger than 0, e represents a constant, and the correction factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that more accurate parameter data are calculated;
comparing and matching the lifting state coefficient corresponding to the current time point of the target crane with a lifting safety grading condition table stored in a cloud database, thereby obtaining the lifting safety grade corresponding to the current time point of the target crane, wherein each lifting state coefficient of the crane has a lifting safety grade corresponding to the lifting safety grade, and the lifting safety grade comprises a lifting low risk grade, a lifting risk controllable grade and a lifting high risk grade;
the generated lifting low risk level, lifting risk controllable level and lifting high risk level are sent to a construction site safety early warning unit, so that the lifting state of the crane is subjected to early warning analysis through a display terminal, and display description is carried out on the display terminal;
it should be noted that the hoisting low risk level is used to indicate that the hoisting operation state of the target crane is safer in this state; the controllable level of hoisting risk is used for indicating that the target crane has some potential safety risks in the state, but the risks can be effectively controlled and managed; the hoisting high risk level is used for indicating that the target crane has obvious safety risk in the state, and emergency measures are required to be immediately taken, so that the occurrence of accidents on the construction site is avoided, and the safety of the construction site is ensured.
The material lifting safety monitoring unit is used for monitoring lifting operation parameters of a material lifter at the current time point corresponding to a target building construction site, and the specific monitoring process is as follows:
extracting rated use frequency, rated maintenance times and rated mechanical abrasion values of the target material hoister from the cloud database, and marking the rated use frequency, the rated maintenance times and the rated mechanical abrasion values as fxr, fwx and fmv respectively;
real-time monitoring actual use frequency, actual maintenance times and actual mechanical abrasion values in lifting operation parameters of the target material lifting machine, and calibrating the actual use frequency, the actual maintenance times and the actual mechanical abrasion values into acr, awx and ams respectively;
according to the set formula
Obtaining a use state index tsx of the target material hoister, wherein e represents a constant, gamma 1, gamma 2 and gamma 3 are weight factor coefficients of actual use frequency, actual maintenance times and actual mechanical abrasion values respectively, and gamma 1, gamma 2 and gamma 3 are natural numbers larger than 0;
the lifting state of the current time point of the target material lifting machine is analyzed, and the specific analysis steps are as follows:
monitoring lifting height, lifting speed and driving pressure in lifting operation parameters of a target material lifting machine in real time, calibrating the lifting height, the lifting speed and the driving pressure into gd, sd and qy respectively, carrying out normalization analysis on the lifting height, the lifting speed and the driving pressure, and obtaining an electrical state index dqx of the material lifting machine according to a set formula dqx =δ1gd+δ2sd+δ3qy, wherein δ1, δ2 and δ3 are normalization factors of the lifting height, the lifting speed and the driving pressure respectively, and δ1, δ2 and δ3 are natural numbers larger than 0, and the normalization factors are used for representing coefficients for converting various data of the lifting height, the lifting speed and the driving pressure into non-dimensional forms;
the use state index and the electrical state index of the target material elevator are respectively compared and matched with a use state safety classification condition table and an electrical state safety classification condition table of the material elevator stored in the cloud database, so that the use state safety grade and the electrical state safety grade of the target material elevator are obtained;
each use state index of the target material elevator is provided with a use state safety grade corresponding to the use state safety grade, the use state safety grade comprises a primary use risk grade, a secondary use risk grade and a tertiary use risk grade, the generated primary use risk grade, the generated secondary use risk grade and the generated tertiary use risk grade are sent to a construction site safety early warning unit, and therefore early warning analysis is carried out on the use state of the target material elevator through a display terminal, and display description is carried out on the display terminal;
each electrical state index of the target material elevator is provided with an electrical state safety grade corresponding to the electrical state index, the electrical state safety grade comprises a primary electrical risk grade, a secondary electrical risk grade and a tertiary electrical risk grade, the generated primary electrical risk grade, the generated secondary electrical risk grade and the generated tertiary electrical risk grade are sent to a construction site safety early warning unit, and therefore early warning analysis is carried out on the electrical state of the target material elevator through a display terminal, and display description is carried out on the display terminal.
When the method is used, the operation parameters of the construction elevator are defined by monitoring the elevator operation parameters of the target construction elevator on the construction site, establishing a coordinate model, analyzing the slope and comparing the data, analyzing the elevator state of the target construction elevator at the current time point, and substituting symbolized calibration, normalized analysis and gradient data into a comparison analysis mode, so that the foundation is laid for ensuring the safety of the construction site while the operation state of the target construction elevator is clearly judged and analyzed;
the method comprises the steps of monitoring crane operation parameters of a target crane, determining characteristic values of all main components and all connecting components of the crane by adopting a data characteristic value extraction mode, analyzing the lifting state of the target crane at the current time point, and determining the lifting safety level of the target crane by adopting data difference, data synthesis and data comparison modes;
the lifting operation parameters of the target material lifter are monitored, and based on the parameters, comprehensive safety consideration analysis is carried out on the lifting state of the target material lifter from the use state safety level and the electrical state safety level by adopting a formula calculation and item-by-item data comparison mode;
and the method adopts the modes of grade early warning analysis and data display, so that the safety early warning of each operation device of the target building construction site is realized, the safety management of the target construction site is improved, and the safety of construction workers is ensured.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (6)
1. The construction site safety monitoring system based on data analysis is characterized by comprising:
the data acquisition unit is used for acquiring the running state information of a construction elevator, a crane and a material hoister on a target building construction site;
the construction elevator safety monitoring unit is used for monitoring elevator operation parameters of the construction elevator at the current time point corresponding to the target building construction site, so that the elevator state of the target construction elevator at the current time point is analyzed;
the crane safety monitoring unit is used for monitoring crane operation parameters of a crane at the current time point corresponding to the target building construction site, so as to analyze the hoisting state of the target crane at the current time point;
the material lifting safety monitoring unit is used for monitoring lifting operation parameters of the material lifting machine at the current time point corresponding to the target building construction site, so that the lifting state of the target material lifting machine at the current time point is analyzed;
the construction site safety early warning unit is used for carrying out corresponding safety early warning analysis operation based on the running state, the crane lifting state, the using state and the electric state of the construction elevator at the current time point of the target building construction site;
the cloud database is used for storing a construction elevator safety classification condition table of a target construction elevator, storing a lifting safety classification condition table of a target crane, storing a use state safety classification condition table of a target material hoist, storing an electrical state safety classification condition table of the target material hoist, and storing rated use frequency, rated maintenance times and rated mechanical wear values of the target material hoist.
2. The construction site safety monitoring system based on data analysis according to claim 1, wherein the elevator operation parameters of the construction elevator at the current time point corresponding to the target building construction site are monitored, and the specific monitoring process is as follows:
monitoring the running speed of a target construction elevator in a unit time period, taking time as an abscissa and the corresponding running speed of corresponding time as an ordinate, and establishing a construction elevator running speed coordinate system and a construction elevator running speed broken line according to the running speed; counting the inflection point number of the target construction elevator running speed broken line on a construction elevator running speed coordinate system, marking the inflection point number as m1, obtaining m1+1 unit line segments, calculating slope values formed between each unit line segment and a horizontal line, and carrying out mean value processing on the slope values of each unit line segment to obtain a speed fluctuation coefficient of the target construction elevator;
monitoring the load of a target construction elevator in the same unit time period, and comparing and analyzing the actual load of the target construction elevator each time with the rated load of the construction elevator;
when the actual load of the target construction elevator is larger than the set rated load, judging the load state of the target construction elevator as overload;
otherwise, when the actual load of the target construction elevator is smaller than or equal to the set rated load, judging the load state of the target construction elevator as normal;
and counting the number of times that the target construction elevator is judged to be overloaded in the unit time period, and dividing and analyzing the number of times with the total judgment number of times of the target construction elevator in the unit time period, thereby obtaining the load floating coefficient of the target construction elevator.
3. The construction site safety monitoring system based on data analysis according to claim 1, wherein the analysis of the elevator status at the current time point of the target construction elevator is performed by the following specific analysis process:
acquiring the values of a speed fluctuation coefficient and a load floating coefficient in elevator operation parameters of the construction elevator in real time, and carrying out normalized analysis on the values to obtain a state coefficient of the target construction elevator;
comparing the state coefficient of the construction elevator at the current time point with a set elevator state threshold value, and judging that the running state of the target construction elevator corresponding to the current time point is a severe abnormal running state if the state coefficient of the construction elevator at the current time point is larger than the set elevator state threshold value, thereby calling the deformation value of each stressed component of the target construction elevator;
setting a plurality of gradient deformation threshold ranges of deformation values of the force-bearing components, and substituting the deformation values of the force-bearing components into preset gradient deformation threshold ranges respectively for comparison analysis;
when the deformation value of the target force-bearing component is within a preset first gradient deformation threshold range, the target force-bearing component is judged to be slightly deformed;
when the deformation value of the target force-bearing component is within a preset second gradient deformation threshold range, judging the target force-bearing component as moderate deformation;
when the deformation value of the target force-bearing component is within a preset third gradient deformation threshold range, judging the target force-bearing component as heavy deformation;
calculating the ratio of the number of the stressed components calibrated as moderate deformation and severe deformation, and recording the ratio as Zbx, when Zbx (i/2) is satisfied, generating an overhaul stop instruction, and when Zbx < (i/2) is satisfied, generating three-level abnormal grades, wherein i represents the total number of the stressed components divided by the target construction elevator;
when the state coefficient of the construction elevator at the current time point is smaller than or equal to the set elevator state threshold value, judging that the running state of the target construction elevator corresponding to the current time point is in a slight abnormal running state, and comparing and matching the state coefficient of the construction elevator at the current time point with a construction elevator safety classification condition table stored in a cloud database for analysis, thereby obtaining the safety class of the target construction elevator.
4. The construction site safety monitoring system based on data analysis according to claim 1, wherein the monitoring of crane operation parameters of the crane at the current time point corresponding to the target construction site is performed by the following specific monitoring process:
acquiring each main component of the target crane, monitoring the vibration amplitude state of each main component of the target crane through a vibration sensor, and extracting the vibration characteristic value of each main component of the target crane at the current time point from the vibration amplitude state;
and acquiring each connecting component of the target crane, monitoring the noise state of each connecting component of the target crane through an acoustic sensor, and extracting abnormal sound characteristic values of each connecting component of the target crane at the current time point from the noise state.
5. The construction site safety monitoring system based on data analysis according to claim 1, wherein the hoisting state of the target crane at the current time point is analyzed, and the specific analysis process is as follows:
capturing the vibration characteristic values of all main components of the target crane in real time, and performing difference analysis on the vibration characteristic values and the vibration characteristic values of all main components in a normal state to obtain the vibration characteristic differences of all main components;
capturing abnormal sound characteristic values of all connecting parts of the target crane in real time, and performing difference analysis on the abnormal sound characteristic values and the abnormal sound characteristic values of all connecting parts in a normal state to obtain abnormal sound characteristic differences of all main components;
comprehensively analyzing the vibration characteristic difference of each main component of the target crane at the current time point and the abnormal sound characteristic difference of each connecting component to obtain a hoisting state coefficient of the target crane;
and comparing and matching the lifting state coefficient corresponding to the current time point of the target crane with a lifting safety grading condition table stored in the cloud database, so as to obtain the lifting safety grade corresponding to the current time point of the target crane.
6. The construction site safety monitoring system based on data analysis according to claim 1, wherein the analysis of the lifting state of the target material lifting machine at the current time point comprises the following specific analysis steps:
extracting rated use frequency, rated maintenance times and rated mechanical abrasion values of the target material hoister from the cloud database, and marking the rated use frequency, the rated maintenance times and the rated mechanical abrasion values as fxr, fwx and fmv respectively;
real-time monitoring actual use frequency, actual maintenance times and actual mechanical abrasion values in lifting operation parameters of the target material lifting machine, and calibrating the actual use frequency, the actual maintenance times and the actual mechanical abrasion values into acr, awx and ams respectively;
according to the set formula
Obtaining a use state index tsx of the target material hoister, wherein e represents a constant, gamma 1, gamma 2 and gamma 3 are weight factor coefficients of actual use frequency, actual maintenance times and actual mechanical abrasion values respectively, and gamma 1, gamma 2 and gamma 3 are natural numbers larger than 0;
monitoring the lifting height, the lifting speed and the driving pressure in the lifting operation parameters of the target material lifting machine in real time, and carrying out normalized analysis on the lifting height, the lifting speed and the driving pressure to obtain the electrical state index of the material lifting machine;
and comparing and matching the use state index and the electrical state index of the target material elevator with the use state safety classification condition table and the electrical state safety classification condition table of the material elevator stored in the cloud database respectively, and obtaining the use state safety grade and the electrical state safety grade of the target material elevator.
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| CN202310392034.9A CN116339214A (en) | 2023-04-13 | 2023-04-13 | Construction site safety monitoring system based on data analysis |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116562739A (en) * | 2023-07-12 | 2023-08-08 | 江苏泓鑫科技有限公司 | Liquid chemical engineering wharf operation flow planning and dynamic monitoring system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116562739A (en) * | 2023-07-12 | 2023-08-08 | 江苏泓鑫科技有限公司 | Liquid chemical engineering wharf operation flow planning and dynamic monitoring system |
| CN116562739B (en) * | 2023-07-12 | 2023-09-22 | 江苏泓鑫科技有限公司 | Liquid chemical engineering wharf operation flow planning and dynamic monitoring system |
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