CN115174864A - Hydraulic engineering safety monitoring data automatic acquisition early warning device - Google Patents
Hydraulic engineering safety monitoring data automatic acquisition early warning device Download PDFInfo
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Abstract
The invention relates to the technical field of monitoring, collecting and early warning, in particular to an automatic collecting and early warning device for safety monitoring data of hydraulic engineering, which comprises a server, a data monitoring and processing unit, a data storage unit, a data adjusting unit and a judging and early warning unit, wherein the server is connected with the data monitoring and processing unit; the server generates monitoring and monitoring signaling and sends the monitoring and monitoring signaling to the data monitoring and processing unit, the data monitoring and processing unit is used for monitoring and processing a project construction site of the hydraulic engineering, so that the project construction site condition of the hydraulic engineering is convenient to know and monitor, the monitoring condition is more comprehensive and accurate, the data adjusting unit is used for carrying out mobilization processing on the abnormity appearing on the project site, the safety of various regions is improved, the judgment and analysis and early warning are carried out on the allocation of the project site through the judgment and early warning unit, the safety of a data monitoring and acquisition region is improved, and the phenomenon that the monitoring and acquisition region is abnormal in production time and cannot be maintained in time is avoided.
Description
Technical Field
The invention relates to the technical field of monitoring, collecting and early warning, in particular to an automatic collecting and early warning device for safety monitoring data of hydraulic engineering.
Background
With the development of society, the progress of hydraulic engineering can lead the development of the nation to generate qualitative leap, and the nation also builds a large amount of hydraulic engineering which plays an important role in flood control, waterlogging removal, irrigation, power generation and the like;
at present in the project implementation process of water engineering, carry out data acquisition and monitoring through the camera to the data monitoring and the collection of water engineering scene, save a large amount of manpower resources, but current monitoring and collection need technical staff to carry out real time monitoring at the control room, only can discover when the camera thoroughly appears damaging, can't carry out data analysis according to camera and on-the-spot real-time data, thereby ensure the data integrity and the accuracy nature of monitoring the collection, also can't carry out real-time early warning according to the analytic processing of data.
Disclosure of Invention
The invention aims to provide an automatic acquisition and early warning device for safety monitoring data of hydraulic engineering, which is used for monitoring and processing a project construction site of the hydraulic engineering through a data monitoring and processing unit, so that the condition of the project construction site of the hydraulic engineering is convenient to know and monitor, the monitoring condition is more comprehensive and accurate, the abnormity appearing on the project site is mobilized and processed through a data adjusting unit, the safety of various regions is improved, the allocation of the project site is judged, analyzed and early warned through a judging and early warning unit, the safety of a data monitoring and collecting region is improved, the abnormity of the production time of the monitoring and collecting region is avoided, the monitoring and collecting region cannot be maintained in time, the data analysis is carried out on the condition of real-time acquisition and monitoring, the accuracy of the data analysis is improved, the accuracy of the data acquisition is improved, and the working efficiency is improved.
The purpose of the invention can be realized by the following technical scheme:
an automatic acquisition and early warning device for hydraulic engineering safety monitoring data comprises a server, a data monitoring and processing unit, a data storage unit, a data adjusting unit and a judgment and early warning unit;
the server generates monitoring and monitoring signaling and sends the monitoring and monitoring signaling to the data monitoring and processing unit, the data monitoring and processing unit is used for monitoring and processing a project construction site of the hydraulic engineering to obtain monitoring safety signals or monitoring abnormal signals, the server generates adjusting signaling and sends the adjusting signaling to the data adjusting unit, the data adjusting unit is used for adjusting the abnormity appearing on the project site to match out adjusting personnel, the server generates collecting and early warning signaling and sends the collecting and early warning signaling to the judging and early warning unit, the judging and early warning unit is used for judging, analyzing and early warning the allocation of the project site to obtain alarm signals, the alarm is sent out, and corresponding abnormal position data are displayed simultaneously.
Further, the data monitoring processing unit monitors and monitors the hydraulic engineering according to the monitoring processing signaling, and the specific operation process of the monitoring operation is as follows:
the data monitoring and processing unit adjusts the angle of the camera in real time to carry out all-around shooting, and the specific adjusting method comprises the following steps:
monitoring and acquiring plane data of a region of a project construction site, calibrating the plane data into region plane data, establishing a virtual plane rectangular coordinate system, imaging the region plane data in the virtual plane rectangular coordinate system, calibrating corner points of the project construction site in the imaged region plane data into region corner coordinates, performing region division processing according to coordinates of the region plane data, and dividing to obtain a plurality of sub-regions;
collecting the number of monitoring cameras in each subarea and marking the monitoring cameras as shot data, collecting the area of each subarea in each subarea and marking the area as subarea data, collecting the monitoring range of each camera in each subarea and marking the monitoring range as shot data, collecting the area covered by the monitoring area of each camera in each subarea and marking the monitoring range as shot data;
extracting shot data in an ith sub-region and marking the shot data as SLi, extracting sub-region data in the ith sub-region and marking the sub-region data as ZMI, extracting shot data in the ith sub-region and marking the shot data as SMi, extracting shot data in the ith sub-region and marking the shot data as SQi, i =1,2,3.... Eta, and n is expressed as the total number of sub-regions;
extracting sub-area data ZNi in the ith sub-area and shooting surface data SMi in the ith sub-area, and substituting the sub-area data ZNi and shooting surface data SMi into an occupation ratio calculation formula: the method comprises the steps of calculating a shot area ratio value = shot area data/subarea area data, calculating the shot area ratio value, calculating the shot area ratios of a plurality of subareas according to a shot area ratio calculation method, calculating a plurality of shot area ratio values, performing mean value calculation on the plurality of shot area ratio values, calculating a shot area ratio mean value, performing difference value calculation on the plurality of shot area ratio values and the shot area ratio mean value, calculating a plurality of shot area ratio difference values, performing mean value calculation on the plurality of shot area ratio difference values, and calculating a shot area ratio mean value;
and extracting shot area data SQi in the ith sub-area, monitoring and judging the shot area data SQi together with the shot area ratio mean value and the shot area ratio difference value to obtain a monitoring safety signal and a monitoring abnormal signal, transmitting the monitoring safety signal and the monitoring abnormal signal to the server, and transmitting the monitoring safety signal and the monitoring abnormal signal to the data adjusting unit by the server.
Further, the specific processing procedure of performing the area division processing according to the coordinates of the area plane data is as follows:
calculating the difference value of every two Y-axis numerical values corresponding to a plurality of points of unified X-axis coordinates, calculating a plurality of Y-axis numerical value difference values, selecting the largest Y-axis difference value in the Y-axis numerical value difference values, calibrating the Y-axis difference value into length data, averagely dividing the length data into a plurality of equal divisions of the same length numerical value, marking the equal divisions of each length in a virtual plane rectangular coordinate system according to the length numerical value of each equal division of each length, and calibrating a plurality of marked coordinate points into equal Y-axis division points;
carrying out pairwise difference calculation on X-axis numerical values corresponding to a plurality of points of a unified Y-axis coordinate, calculating a plurality of X-axis numerical value differences, selecting the largest X-axis difference from the X-axis numerical value differences, calibrating the X-axis numerical value differences into width data, averagely dividing the width data into a plurality of equal divisions with the same width numerical value, marking in a virtual plane rectangular coordinate system according to each equal division width numerical value with the same width, and calibrating a plurality of marked coordinate points into X-axis equal division points;
the method comprises the steps of horizontally carving a straight line perpendicular to an X axis on an X-axis bisector, horizontally carving a straight line perpendicular to a Y axis bisector on a Y-axis bisector, and marking area plane data formed by intersection of the straight line perpendicular to the X axis horizontally carved on the X-axis bisector and the straight line perpendicular to the Y axis bisector as a plurality of sub-areas.
Further, the specific process of monitoring and judging is as follows:
monitoring the shot area data SQi, the shot surface area average value and the shot surface area difference value together to calculate the formula:
JKi = [ SQi u1+ (MZi + MCi) u2]/SLi, a monitoring coefficient JKi of the ith sub-area is obtained through calculation, and is calibrated to be a sub-area monitoring coefficient, wherein u1 is a weight coefficient of shot area data, MZi is a shot area ratio mean value of the ith sub-area, MCi is a shot area ratio average difference value of the ith sub-area, u2 is a weight coefficient of the shot area ratio mean value, u1 and u2 are preset values, and u2 is greater than u1;
extracting a sub-area monitoring coefficient JKi of the ith sub-area, and comparing the sub-area monitoring coefficient JKi of the ith sub-area with a monitoring safety threshold value M1, wherein the specific comparison process comprises the following steps:
when the sub-area monitoring coefficient JKi of the ith sub-area is greater than or equal to the monitoring safety threshold value M1, judging that the monitoring safety in the ith sub-area is high, and generating a monitoring safety signal;
and when the sub-area monitoring coefficient JKi of the ith sub-area is smaller than the monitoring safety threshold value M1, judging that the monitoring safety in the ith sub-area is low, and generating a monitoring abnormal signal.
Further, the data adjusting unit extracts and identifies abnormal values of the project site according to the adjusting signaling, and performs the maneuver processing operation according to the extraction and identification of the abnormal values, wherein the specific operation process of the maneuver processing operation is as follows:
extract control safety signal and control abnormal signal to discerning control safety signal and control abnormal signal, when discerning control safety signal, then not transferring and handling, when discerning control abnormal signal, then transferring and handling, the concrete process of transferring and handling is:
monitoring and collecting the working staff at the current time point, marking the working staff as alternative staff, marking the position of the alternative staff as alternative position data, performing distance calculation in a virtual plane rectangular coordinate system, and calculating a plurality of distance data;
monitoring experience information corresponding to the acquired alternative personnel, wherein the experience information comprises processing times, processing completion times, processing failure times and processing time, the processing times refer to the problems corresponding to abnormal signals which are processed by the alternative personnel together, the processing completion times refer to the times of success in the total times of processing of the alternative personnel, the processing failure times refer to the times of failure in the total times of processing of the alternative personnel, and the processing time refers to the time point when the alternative personnel process the problems corresponding to the abnormal signals each time;
selecting processing times, processing completion times and processing failure times, carrying out successful proportion calculation on the processing times and the processing completion times, carrying out failure proportion calculation on the processing times and the processing failure times, carrying out difference calculation on the successful proportion and the failure proportion, and calculating a success-failure difference value which can be a positive number or a negative number;
selecting the processing time corresponding to the processing times of the alternative personnel, calculating the difference between the processing time of the last processing and the processing time of the first processing, and calculating the interval difference;
and bringing the interval difference, success-failure difference, processing times and distance data into a transfer selection calculation formula:
DXr = [ JLr × e1+ (CCr × e 2) (CBr × e 3) × JGr ] × pz, calculating a maneuver adaptation value DXr of the r-th candidate, r referring to the r-th candidate, r =1,2,3.. No. m, where m is a positive integer, m is a total number of candidates, JLr is distance data corresponding to the r-th corresponding candidate, CCr is a processing time corresponding to the r-th corresponding candidate, JGr is an interval difference corresponding to the r-th corresponding candidate, and CBr is a success-failure difference corresponding to the r-th corresponding candidate; e1 is an adaptive conversion coefficient of distance data, e2 is an adaptive conversion coefficient of processing times, e3 is an adaptive conversion coefficient of success-failure difference, pz is a deviation adjustment factor for adjusting adaptation, and e1, e2, e3 and pz are preset values;
sorting the maneuver adaptation values DXr corresponding to the m candidate persons from large to small, selecting the first candidate persons sorted by the maneuver adaptation values DXr, calibrating the first candidate persons as maneuver persons, and sending the monitoring abnormal signals and the abnormal position data corresponding to the subareas to the mobile phone terminals of the maneuver persons.
Further, the judgment and early warning unit analyzes and judges the in-place situation of the personnel on the project site according to the acquisition and early warning signaling, and performs early warning according to the analysis and judgment, wherein the specific processes of the analysis, judgment and early warning are as follows:
the method comprises the steps that a time point when a server transmits monitoring abnormal signals and abnormal position data to a mobile phone terminal of a mobilizer is marked as a deployment time point, the moving speed of the mobilizer during each abnormal processing is obtained, the average value of the moving speeds of a plurality of times is calculated, the moving average value is calculated, the moving speeds of the plurality of times are respectively subjected to difference value calculation with the moving average value, a plurality of moving difference values are calculated, the average value of the plurality of moving difference values is calculated, and the moving average difference value is calculated;
extracting distance data corresponding to the mobilized personnel, and allocating budget for the distance data, the moving average value and the moving average difference value, specifically comprising the following steps: PS = HC + [ JLR/(PV + PJ) ]. G, and calculates the dispatching time value PS of the dispatching personnel, wherein HC represents a preparation time during dispatching, PV represents a moving average value, PJ represents a moving average difference value, g represents a deviation adjusting factor of the dispatching time, g is a preset value, and JLR is distance data corresponding to the dispatching personnel;
and summing the allocation time value PS and the allocation time point to calculate an allocation arrival time point, judging that the scheduling is successful when the allocation arrival time point has the mobilizing personnel appearing at the position corresponding to the abnormal position data, and judging that the allocation is failed when the allocation arrival time point has no mobilizing personnel appearing at the position corresponding to the abnormal position data, generating an alarm signal, giving an alarm and simultaneously displaying the corresponding abnormal position data.
The invention has the following beneficial effects:
the data monitoring and processing unit is used for monitoring and processing the project construction site of the hydraulic engineering, so that the project construction site condition of the hydraulic engineering is convenient to know and monitor, the monitoring condition is more comprehensive and accurate, the data adjusting unit is used for carrying out mobilization processing on the abnormity appearing on the project site, the safety of various regions is improved, the judgment and early warning unit is used for carrying out judgment analysis and early warning on the allocation of the project site, the safety of a data monitoring and acquisition region is improved, the phenomenon that the production time of the monitoring and acquisition region is abnormal and cannot be maintained in time is avoided, the data analysis is carried out on the condition of real-time acquisition and monitoring, the accuracy of the data analysis is improved, the accuracy of the data acquisition is improved, and the working efficiency is improved.
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 technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to an automatic acquisition and early warning device for hydraulic engineering safety monitoring data, which comprises a server, a data monitoring and processing unit, a data storage unit, a data adjusting unit and a judgment and early warning unit;
the server generates monitoring and monitoring signaling and sends the monitoring and monitoring signaling to the data monitoring and processing unit, the data monitoring and processing unit is used for monitoring and processing a project construction site of the hydraulic engineering, so that the project construction site condition of the hydraulic engineering is convenient to know and monitor, the monitoring condition is more comprehensive and accurate, the server generates adjusting signaling and sends the adjusting signaling to the data adjusting unit, the data adjusting unit is used for carrying out mobilization processing on the abnormity appearing on the project site, the safety of various regions is improved, the server generates acquisition and early warning signaling and sends the acquisition and early warning signaling to the judgment and early warning unit, and the judgment and early warning unit is used for carrying out judgment analysis and early warning on the allocation of the project site, so that the safety of the data monitoring and acquisition region is improved, and the problem that the monitoring and acquisition region has abnormal production time and cannot be maintained in time is avoided;
the data monitoring and processing unit comprises a camera and is used for acquiring video information of a project construction site in real time and transmitting the video information to the data storage unit for storage;
the data monitoring processing unit monitors and monitors the hydraulic engineering according to the monitoring processing signaling, and the specific operation process of the monitoring and monitoring operation is as follows:
the data monitoring and processing unit adjusts the angle of the camera in real time to carry out all-around shooting, and the specific adjusting method comprises the following steps:
monitoring and acquiring plane data of an area of a project construction site, calibrating the plane data into area plane data, establishing a virtual plane rectangular coordinate system, imaging the area plane data in the virtual plane rectangular coordinate system, and calibrating the area plane data into area corner coordinates according to corner points of the project construction site in the imaged area plane data;
calculating the difference value of every two Y-axis numerical values corresponding to a plurality of points of unified X-axis coordinates, calculating a plurality of Y-axis numerical value difference values, selecting the largest Y-axis difference value in the Y-axis numerical value difference values, calibrating the Y-axis difference value into length data, averagely dividing the length data into a plurality of equal divisions of the same length numerical value, marking the equal divisions of each length in a virtual plane rectangular coordinate system according to the length numerical value of each equal division of each length, and calibrating a plurality of marked coordinate points into equal Y-axis division points;
carrying out pairwise difference calculation on X-axis numerical values corresponding to a plurality of points of unified Y-axis coordinates, calculating a plurality of X-axis numerical value differences, selecting the largest X-axis difference from the X-axis numerical value differences, calibrating the X-axis difference as width data, averagely dividing the width data into a plurality of equal divisions with the same width numerical value, marking in a virtual plane rectangular coordinate system according to each equal division width numerical value with the same width, and calibrating a plurality of marked coordinate points as X-axis equal division points;
horizontally carving a straight line perpendicular to an X axis on the X-axis bisector, horizontally carving a straight line perpendicular to the Y axis bisector on the Y axis bisector, and calibrating regional plane data formed by intersection of the straight line perpendicular to the X axis horizontally carved on the X-axis bisector and the straight line perpendicular to the Y axis equally carved on the Y axis bisector into a plurality of sub-regions;
collecting the number of monitoring cameras in each subarea and marking the monitoring cameras as shot data, collecting the area of each subarea in each subarea and marking the area as subarea data, collecting the monitoring range of each camera in each subarea and marking the monitoring range as shot data, collecting the area covered by the monitoring area of each camera in each subarea and marking the monitoring range as shot data;
extracting shot data in an ith sub-region and marking the shot data as SLi, extracting sub-region data in the ith sub-region and marking the sub-region data as ZMI, extracting shot data in the ith sub-region and marking the shot data as SMi, extracting shot data in the ith sub-region and marking the shot data as SQi, wherein i =1,2,3.... N and n is expressed as the total number of sub-regions;
extracting sub-area data ZNi in the ith sub-area and shooting surface data SMi in the ith sub-area, and substituting the sub-area data ZNi and shooting surface data SMi into an occupation ratio calculation formula: the method comprises the steps of calculating a shot area ratio value = shot area data/subarea area data, calculating the shot area ratio value, calculating the shot area ratios of a plurality of subareas according to a shot area ratio calculation method, calculating a plurality of shot area ratio values, performing mean value calculation on the plurality of shot area ratio values, calculating a shot area ratio mean value, performing difference value calculation on the plurality of shot area ratio values and the shot area ratio mean value, calculating a plurality of shot area ratio difference values, performing mean value calculation on the plurality of shot area ratio difference values, and calculating a shot area ratio mean value;
extracting shot area data SQi in the ith sub-area, and monitoring and calculating the shot area data SQi together with a shot area ratio mean value and a shot area ratio mean value, wherein the specific monitoring and calculating comprises the following steps:
JKi = [ SQi u1+ (MZi + MCi) u2]/SLi, a monitoring coefficient JKi of the ith sub-area is obtained through calculation, and is calibrated to be a sub-area monitoring coefficient, wherein u1 is a weight coefficient of shot area data, MZi is a shot area ratio mean value of the ith sub-area, MCi is a shot area ratio average difference value of the ith sub-area, u2 is a weight coefficient of the shot area ratio mean value, u1 and u2 are preset values, and u2 is greater than u1;
extracting a sub-area monitoring coefficient JKi of the ith sub-area, and comparing the sub-area monitoring coefficient JKi of the ith sub-area with a monitoring safety threshold value M1, wherein the specific comparison process comprises the following steps:
when the sub-area monitoring coefficient JKi of the ith sub-area is greater than or equal to the monitoring safety threshold value M1, judging that the monitoring safety in the ith sub-area is high, and generating a monitoring safety signal;
when the sub-area monitoring coefficient JKi of the ith sub-area is smaller than the monitoring safety threshold value M1, judging that the monitoring safety in the ith sub-area is low, and generating a monitoring abnormal signal;
extracting a monitoring safety signal and a monitoring abnormal signal, transmitting the monitoring safety signal and the monitoring abnormal signal to a server, and transmitting the monitoring safety signal and the monitoring abnormal signal to a data adjusting unit by the server;
the data adjusting unit extracts and identifies the abnormal numerical value of the project site according to the adjusting signaling, and performs the transferring processing operation according to the extraction and identification of the abnormal numerical value, wherein the specific operation process of the transferring processing operation is as follows:
extract control safety signal and control abnormal signal to discerning control safety signal and control abnormal signal, when discerning control safety signal, then not transferring and handling, when discerning control abnormal signal, then transferring and handling, the concrete process of transferring and handling is:
monitoring and collecting the working staff at the current time point, marking the working staff as a candidate, marking the position of the candidate as candidate position data, marking the position of a sub-region where a monitoring abnormal signal appears as abnormal position data, establishing a virtual plane rectangular coordinate system, marking the abnormal position data and the candidate position data in the virtual plane rectangular coordinate system so as to obtain two coordinate points corresponding to the two positions, calculating the distance between the two corresponding coordinate points according to the Pythagorean theorem, calculating the distance between the two coordinate points, marking the two coordinate points as distance data, calculating the distance between the working staff and the sub-region at the current time point according to a calculation method of the distance data, and calculating a plurality of distance data;
monitoring experience information corresponding to the candidate at the collection position, wherein the experience information comprises processing times, processing completion times, processing failure times and processing time, the processing times refer to the number of problems corresponding to abnormal signals processed by the candidate totally, the processing completion times refer to the number of successes in the total times processed by the candidate, the processing failure times refer to the number of failures in the total times processed by the candidate, and the processing time refers to the time point when the candidate processes the problems corresponding to the abnormal signals each time;
selecting the processing times, the processing completion times and the processing failure times, and comparing the processing times with the processing completion times successfully, wherein the calculation formula is as follows: success ratio = processing completion times/processing times, failure ratio is performed on the processing times and the processing failure times, and the formula is calculated as follows: the failure ratio = processing failure times/processing times, difference calculation is carried out on the success ratio and the failure ratio, and success-failure difference values are calculated and can be positive numbers or negative numbers;
selecting processing time corresponding to the processing times of the alternative personnel, calculating the difference between the processing time of the last processing and the processing time of the first processing, and calculating an interval difference;
and bringing the interval difference, success-failure difference, processing times and distance data into a transfer selection calculation formula:
DXr = [ JLr × e1+ (CCr × e 2) (CBr × e 3) × JGr ] × pz, calculating a maneuver adaptation value DXr of the r-th candidate, r being the r-th candidate, r =1,2,3.. No. m, the value of m being a positive integer, m being the total number of candidates, JLr being distance data corresponding to the r-th corresponding candidate, CCr being the number of processes corresponding to the r-th corresponding candidate, JGr being the interval difference corresponding to the r-th corresponding candidate, CBr being the success/failure difference corresponding to the r-th corresponding candidate, e1 being an adaptation transformation coefficient of the distance data, e2 being an adaptation transformation coefficient of the number of processes, e3 being an adaptation transformation coefficient of the difference, pz being an offset adjustment factor of the maneuver adaptation, e1, pz 2, e3 and a preset value;
sorting the maneuver adaptation values DXr corresponding to the m candidate persons from large to small, selecting the first candidate persons sorted by the maneuver adaptation values DXr, calibrating the first candidate persons as maneuver persons, and sending the monitoring abnormal signals and abnormal position data corresponding to the subareas to the mobile phone terminals of the maneuver persons;
the judgment and early warning unit analyzes and judges the in-place situation of the personnel on the project site according to the acquisition and early warning signaling, and carries out early warning according to the analysis and judgment, wherein the specific processes of the analysis, judgment and early warning are as follows:
the method comprises the steps that a time point when a server transmits monitoring abnormal signals and abnormal position data to a mobile phone terminal of a mobilizer is marked as a deployment time point, the moving speed of the mobilizer during each abnormal processing is obtained, the average value of the moving speeds of a plurality of times is calculated, the moving average value is calculated, the moving speeds of the plurality of times are respectively subjected to difference value calculation with the moving average value, a plurality of moving difference values are calculated, the average value of the plurality of moving difference values is calculated, and the moving average difference value is calculated;
extracting distance data corresponding to the mobilized personnel, and allocating budget for the distance data, the moving average value and the moving average difference value, specifically comprising the following steps: PS = HC + [ JLr/(PV + PJ) ] + g, and calculates a deployment time value PS, where HC represents a preparation time during deployment, PV represents a moving average, PJ represents a moving average difference, g represents a deviation adjustment factor of the deployment time, and g is a preset value, in the formula, JLr represents distance data corresponding to a deployment person, and the deployment person is one of m candidate persons, and specifically represents distance data corresponding to the deployment person selected from the candidate persons;
and summing the allocation time value PS and the allocation time point to calculate an allocation arrival time point, judging that the scheduling is successful when the allocation arrival time point has the mobilizing personnel appearing at the position corresponding to the abnormal position data, and judging that the allocation is failed when the allocation arrival time point has no mobilizing personnel appearing at the position corresponding to the abnormal position data, generating an alarm signal, giving an alarm and simultaneously displaying the corresponding abnormal position data.
The foregoing is illustrative and explanatory only, and it will be appreciated by those skilled in the art that various modifications, additions and substitutions can be made to the embodiments described without departing from the scope of the present invention as defined in the accompanying claims.
Claims (5)
1. The automatic acquisition and early warning device for the safety monitoring data of the hydraulic engineering is characterized by comprising a server, a data monitoring and processing unit, a data storage unit, a data adjusting unit and a judgment and early warning unit;
the system comprises a server, a data monitoring processing unit, a data adjusting unit, a data acquisition unit, a judgment and early warning unit, a data processing unit and a data processing unit, wherein the server generates a monitoring and monitoring signaling and sends the monitoring signaling to the data monitoring processing unit, the data monitoring processing unit is used for monitoring and processing a project construction site of hydraulic engineering to obtain a monitoring safety signal or a monitoring abnormal signal, the server generates an adjusting signaling and sends the adjusting signaling to the data adjusting unit, the data adjusting unit is used for adjusting the abnormality of the project site to match with an operator, the server generates an acquisition and early warning signaling and sends the acquisition and early warning signaling to the judgment and early warning unit, the judgment and analysis and early warning are carried out on the allocation of the project site through the judgment and early warning unit to obtain a warning signal, the warning is sent out, and corresponding abnormal position data is displayed;
the data monitoring processing unit monitors and monitors the hydraulic engineering according to the monitoring processing signaling, and the concrete operation process of the monitoring and monitoring operation is as follows:
the data monitoring and processing unit adjusts the angle of the camera in real time to carry out all-around shooting, and the specific adjusting method comprises the following steps:
monitoring and acquiring plane data of a region of a project construction site, calibrating the plane data into region plane data, establishing a virtual plane rectangular coordinate system, imaging the region plane data in the virtual plane rectangular coordinate system, calibrating corner points of the project construction site in the imaged region plane data into region corner coordinates, performing region division processing according to coordinates of the region plane data, and dividing to obtain a plurality of sub-regions;
collecting the number of monitoring cameras in each subarea and marking the monitoring cameras as shot data, collecting the area of each subarea in each subarea and marking the area as subarea data, collecting the monitoring range of each camera in each subarea and marking the monitoring range as shot data, collecting the area covered by the monitoring area of each camera in each subarea and marking the monitoring range as shot data;
extracting shot data in an ith sub-region and marking the shot data as SLi, extracting sub-region data in the ith sub-region and marking the sub-region data as ZMI, extracting shot data in the ith sub-region and marking the shot data as SMi, extracting shot data in the ith sub-region and marking the shot data as SQi, wherein i =1,2,3.... N and n is expressed as the total number of sub-regions;
extracting sub-area data ZMi in the ith sub-area and shooting face data SMi in the ith sub-area, and substituting the sub-area data ZMi and the shooting face data SMi into an occupation ratio calculation formula: the method comprises the steps of calculating a shooting area ratio, calculating shooting area ratios of a plurality of sub-areas according to a shooting area ratio calculation method, calculating a plurality of shooting area ratios, calculating the mean value of the plurality of shooting area ratios, calculating the difference value between the plurality of shooting area ratios and the shooting area ratio mean value, calculating a plurality of shooting area ratio difference values, calculating the mean value of the plurality of shooting area ratio difference values, and calculating the mean value of the plurality of shooting area ratio difference values;
and extracting shot area data SQi in the ith sub-area, monitoring and judging the shot area data SQi together with the shot area ratio mean value and the shot area ratio difference value to obtain a monitoring safety signal and a monitoring abnormal signal, transmitting the monitoring safety signal and the monitoring abnormal signal to a server, and transmitting the monitoring safety signal and the monitoring abnormal signal to a data adjusting unit by the server.
2. The hydraulic engineering safety monitoring data automatic acquisition and early warning device according to claim 1, characterized in that the specific processing procedure of area division processing according to the coordinates of the area plane data is as follows:
calculating pairwise difference values of Y-axis numerical values corresponding to a plurality of points of a unified X-axis coordinate, calculating a plurality of Y-axis numerical value difference values, selecting the largest Y-axis difference value from the Y-axis numerical value difference values, calibrating the Y-axis difference value into length data, averagely dividing the length data into a plurality of equal divisions of the same length numerical value, marking in a virtual plane rectangular coordinate system according to each equal division length numerical value of the same length, and calibrating a plurality of marked coordinate points into Y-axis equal division points;
carrying out pairwise difference calculation on X-axis numerical values corresponding to a plurality of points of unified Y-axis coordinates, calculating a plurality of X-axis numerical value differences, selecting the largest X-axis difference from the X-axis numerical value differences, calibrating the X-axis difference as width data, averagely dividing the width data into a plurality of equal divisions with the same width numerical value, marking in a virtual plane rectangular coordinate system according to each equal division width numerical value with the same width, and calibrating a plurality of marked coordinate points as X-axis equal division points;
and marking the area plane data formed by the intersection of the straight line which is horizontally marked out by the equally divided points of the X axis and the straight line which is horizontally marked out by the equally divided points of the Y axis and is vertical to the Y axis as a plurality of sub-areas.
3. The hydraulic engineering safety monitoring data automatic acquisition and early warning device according to claim 1, characterized in that the specific process of monitoring and judging is as follows:
and monitoring the shot area data SQi, the shot area ratio mean value and the shot area ratio difference value together to calculate the formula:
JKi = [ SQi u1+ (MZi + MCi) u2]/SLi, a monitoring coefficient JKi of the ith sub-area is obtained through calculation, and is calibrated to be a sub-area monitoring coefficient, wherein u1 is a weight coefficient of shot area data, MZi is a shot area ratio mean value of the ith sub-area, MCi is a shot area ratio average difference value of the ith sub-area, u2 is a weight coefficient of the shot area ratio mean value, u1 and u2 are preset values, and u2 is greater than u1;
extracting a sub-area monitoring coefficient JKi of the ith sub-area, and comparing the sub-area monitoring coefficient JKi of the ith sub-area with a monitoring safety threshold value M1, wherein the specific comparison process comprises the following steps:
when the sub-area monitoring coefficient JKi of the ith sub-area is greater than or equal to the monitoring safety threshold value M1, judging that the monitoring safety in the ith sub-area is high, and generating a monitoring safety signal;
and when the sub-area monitoring coefficient JKi of the ith sub-area is smaller than the monitoring safety threshold value M1, judging that the monitoring safety in the ith sub-area is low, and generating a monitoring abnormal signal.
4. The hydraulic engineering safety monitoring data automatic acquisition and early warning device according to claim 1, characterized in that the data adjusting unit extracts and identifies abnormal values of project sites according to the adjusting signaling, and performs the mobilization processing operation according to the extraction and identification of the abnormal values, and the specific operation process of the mobilization processing operation is as follows:
extract control safety signal and control abnormal signal to discerning control safety signal and control abnormal signal, when discerning control safety signal, then not transferring and handling, when discerning control abnormal signal, then transferring and handling, the concrete process of transferring and handling is:
monitoring and collecting the working staff at the current time point, marking the working staff as alternative staff, marking the position of the alternative staff as alternative position data, performing distance calculation in a virtual plane rectangular coordinate system, and calculating a plurality of distance data;
monitoring experience information corresponding to the candidate at the collection position, wherein the experience information comprises processing times, processing completion times, processing failure times and processing time, the processing times refer to the number of problems corresponding to abnormal signals processed by the candidate totally, the processing completion times refer to the number of successes in the total times processed by the candidate, the processing failure times refer to the number of failures in the total times processed by the candidate, and the processing time refers to the time point when the candidate processes the problems corresponding to the abnormal signals each time;
selecting processing times, processing completion times and processing failure times, carrying out successful proportion calculation on the processing times and the processing completion times, carrying out failure proportion calculation on the processing times and the processing failure times, carrying out difference calculation on the successful proportion and the failure proportion, and calculating a success-failure difference value which can be a positive number or a negative number;
selecting the processing time corresponding to the processing times of the alternative personnel, calculating the difference between the processing time of the last processing and the processing time of the first processing, and calculating the interval difference;
and bringing the interval difference, success-failure difference, processing times and distance data into a transfer selection calculation formula:
DXr = [ JLr × e1+ (CCr × e 2) (CBr × e 3) × JGr ] × pz, calculating a maneuver adaptation value DXr of the r-th candidate, r being the r-th candidate, r =1,2,3.. No. m, the value of m being a positive integer, m being the total number of candidates, JLr being distance data corresponding to the r-th corresponding candidate, CCr being the number of processes corresponding to the r-th corresponding candidate, JGr being the interval difference corresponding to the r-th corresponding candidate, CBr being the success/failure difference corresponding to the r-th corresponding candidate, e1 being an adaptation transformation coefficient of the distance data, e2 being an adaptation transformation coefficient of the number of processes, e3 being an adaptation transformation coefficient of the difference, pz being an offset adjustment factor of the maneuver adaptation, e1, pz 2, e3 and a preset value;
sorting the maneuver adaptation values DXr corresponding to the m candidate persons from large to small, selecting the first candidate persons sorted by the maneuver adaptation values DXr, marking the first candidate persons as maneuver persons, and sending the monitoring abnormal signals and the abnormal position data corresponding to the subareas to the mobile phone terminals of the maneuver persons.
5. The automatic acquisition and early warning device for the hydraulic engineering safety monitoring data as claimed in claim 1, wherein the judgment and early warning unit analyzes and judges the in-place situation of the personnel on the project site according to the acquisition and early warning signaling, and performs early warning according to the analysis and judgment, and the specific processes of the analysis, judgment and early warning are as follows:
the method comprises the steps that a time point when a server transmits monitoring abnormal signals and abnormal position data to a mobile phone terminal of a mobilizer is marked as a deployment time point, the moving speed of the mobilizer during each abnormal processing is obtained, the moving speeds of a plurality of times are subjected to mean value calculation, the moving mean value is calculated, the moving speeds of the plurality of times are subjected to difference value calculation with the moving mean value respectively, a plurality of moving difference values are calculated, the moving difference values are subjected to mean value calculation, and the moving average difference value is calculated;
extracting distance data corresponding to the mobilized personnel, and allocating budget for the distance data, the moving average value and the moving average difference value, wherein the allocation budget specifically comprises the following steps: PS = HC + [ JLR/(PV + PJ) ]. G, and calculates the dispatching time value PS of the dispatching personnel, wherein HC represents a preparation time during dispatching, PV represents a moving average value, PJ represents a moving average difference value, g represents a deviation adjusting factor of the dispatching time, g is a preset value, and JLR is distance data corresponding to the dispatching personnel;
and summing the allocation time value PS and the allocation time point to calculate an allocation arrival time point, judging that the scheduling is successful when the allocation arrival time point has the mobilizing personnel appearing at the position corresponding to the abnormal position data, judging that the allocation is failed when the allocation arrival time point has no mobilizing personnel appearing at the position corresponding to the abnormal position data, generating an alarm signal, sending the alarm and simultaneously displaying the corresponding abnormal position data.
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