CN116402369A - Smart city traffic operation safety monitoring data evaluation system and method - Google Patents
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Abstract
The invention discloses a system and a method for evaluating traffic operation safety monitoring data of a smart city, belonging to the technical field of smart cities; by monitoring and analyzing the position of the target, the corresponding jurisdiction department can be obtained so that the follow-up notification and prompt can be efficiently carried out, and meanwhile, reliable data support can be provided for analyzing whether the target is lost or not; by carrying out matching analysis on the real-time position state of the target, judging whether the position state of the target is normal or not, so that the jurisdiction can arrange staff to carry out timely and efficient forward processing, and the potential safety hazard is actively eliminated; the intelligent urban traffic safety monitoring system and method are used for solving the technical problems that data of intelligent urban traffic operation safety monitoring is single and one-sided in the existing scheme, and therefore the overall effect of monitoring data evaluation is poor.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a system and a method for evaluating traffic operation safety monitoring data of a smart city.
Background
Road traffic safety refers to a state in which personal casualties or property loss can be controlled to an acceptable level during traffic activities; traffic safety means that the possibility of human or object loss is acceptable; if this possibility exceeds an acceptable level, it is unsafe.
When the existing traffic operation safety monitoring data evaluation scheme is implemented, whether the position of the well lid on the road is normal or not is not monitored and analyzed in the early stage, the subsequent working state analysis is implemented according to the analysis result of the position, meanwhile, the whole working state of the well lid is not analyzed and evaluated by integrating data with different dimensions in the working state, and the accuracy of analysis and evaluation is improved by tracing and checking the abnormality found by the analysis and evaluation, so that the whole effect of the intelligent city traffic operation safety monitoring data evaluation is poor.
Disclosure of Invention
The invention aims to provide a smart city traffic operation safety monitoring data evaluation system and a smart city traffic operation safety monitoring data evaluation method, which are used for solving the technical problems of singleization and one-sided data of smart city traffic operation safety monitoring in the existing scheme, so that the overall effect of monitoring data evaluation is poor.
The aim of the invention can be achieved by the following technical scheme:
the intelligent city traffic operation safety monitoring data evaluation system comprises a target statistics module, a target analysis module and a control module, wherein the target statistics module is used for acquiring position coordinates of a plurality of targets on a traffic road when the targets are installed and acquiring jurisdiction departments to which the targets belong according to the position coordinates of the targets; sequentially sequencing and numbering a plurality of targets according to the jurisdiction and the installation time of the targets to obtain a target statistical set and uploading the target statistical set to a cloud platform and a database;
the target monitoring module is used for monitoring the target from different aspects and carrying out data acquisition statistics to obtain a target monitoring set and uploading the target monitoring set to the cloud platform and the database;
the position analysis module is used for monitoring and dynamically controlling the real-time position state of the target, obtaining position analysis data and uploading the position analysis data to the cloud platform and the database; comprising the following steps:
when the running state of the target is carried out, acquiring real-time position coordinates of the target and reference position coordinates during installation according to the established three-dimensional coordinate system, acquiring distance values between the real-time position coordinates and the reference position coordinates of the target, and carrying out matching analysis;
if the distance value is smaller than the preset distance threshold value, judging that the real-time position state of the corresponding target is normal, generating a bit positive signal, and carrying out the operation state analysis of the next target according to the bit positive signal;
if the distance value is not smaller than the preset distance threshold value, judging that the real-time position state of the corresponding target is abnormal, generating a position difference signal, and prompting the jurisdiction to which the target belongs to process the position difference signal according to the position difference signal; the bit positive signal and the bit negative signal form position analysis data;
the state analysis module is used for integrating and analyzing all data counted in the target monitoring set according to the position analysis data to obtain the running state of the corresponding target, obtaining target analysis data and uploading the target analysis data to the cloud platform and the database;
and the tracing verification module is used for tracing verification of the abnormality of the selected target in different abnormal states according to the target analysis data, and performing dynamic management and control on the selected target determined by verification according to the tracing verification result in a self-adaptive manner.
Preferably, the step of acquiring the target monitoring set includes:
acquiring any point on the upper surface of a road well where a target is positioned for supporting, setting the point as a coordinate origin, and constructing a three-dimensional coordinate system according to the coordinate origin, a preset coordinate direction and a preset coordinate interval;
respectively setting the X axis and the Y axis of the three-dimensional coordinate system and the intersection point at the edge of the outer surface of the target as a first sensing point, a second sensing point, a third sensing point and a fourth sensing point according to a preset arrangement sequence; monitoring the deviation condition of each sensing point, and respectively marking the angles obtained by monitoring the first sensing point, the second sensing point, the third sensing point and the fourth sensing point; the angles obtained by monitoring the sensing points form angle monitoring data.
Preferably, the positions corresponding to the first sensing point, the second sensing point, the third sensing point and the fourth sensing point on the lower surface of the target are respectively set as a first monitoring point, a second monitoring point, a third monitoring point and a fourth monitoring point, the loudness condition of each monitoring point is monitored, and the loudness obtained by monitoring the first monitoring point, the second monitoring point, the third monitoring point and the fourth monitoring point is respectively marked; the loudness obtained by monitoring the monitoring points forms loudness monitoring data;
the angle monitoring data and the loudness monitoring data constitute a target monitoring set.
Preferably, the working steps of the state analysis module include:
when next running state analysis is carried out according to the bit positive signals in the position analysis data, the road type corresponding to the road where the target is located and the corresponding type weight are obtained and marked;
acquiring angle monitoring data and loudness monitoring data in a target monitoring set; and extracting the numerical values of all the marked data, and vertically integrating the numerical values in parallel to obtain a state evaluation coefficient corresponding to the target.
Preferably, the state evaluation coefficient is subjected to matching analysis with a preset state evaluation threshold value to obtain a first state evaluation signal, a second state evaluation signal, a third state evaluation signal and a fourth state evaluation signal, and a first selected target, a second selected target and a third selected target corresponding to the second state evaluation signal, the third state evaluation signal and the fourth state evaluation signal;
the state evaluation coefficients and the corresponding first, second and first, third and second, fourth and third evaluation signals and targets constitute target analysis data.
Preferably, the working steps of the trace-back verification module include:
acquiring target analysis data and sequentially tracing and checking anomalies of the first selected target, the second selected target and the third selected target; respectively counting the total times of the same abnormality or higher-level abnormality occurring subsequently after the first selected object, the second selected object and the third selected object occur for the first time, and respectively counting and marking the total times as a first total times, a second total times and a third total times; and respectively carrying out matching analysis on the first total times, the second total times and the third total times and the corresponding first total number threshold value, the second total number threshold value and the third total number threshold value.
Preferably, if the first total number is greater than the first total number threshold, the second total number is greater than the second total number threshold or the third total number is greater than the third total number threshold, determining that the abnormal state verification of the corresponding target passes and generating an alarm signal, and prompting the jurisdiction to which the corresponding target belongs according to the alarm signal to process the abnormal state verification; wherein the values of the first total threshold, the second total threshold and the third total threshold are sequentially reduced;
otherwise, judging that the abnormal state verification of the corresponding target does not pass, generating a tracing signal, and continuously tracing and verifying the abnormal states of the corresponding first selected target, the second selected target and the third selected target according to the tracing signal.
In order to solve the problem, the invention also discloses a smart city traffic operation safety monitoring data evaluation method, which comprises the following steps:
acquiring position coordinates of a plurality of targets on a traffic channel when the targets are installed, and acquiring jurisdiction departments to which the targets belong according to the position coordinates of the targets; sequentially sequencing and numbering a plurality of targets according to the jurisdiction and the installation time of the targets to obtain a target statistics set;
monitoring the target from different aspects and carrying out data acquisition statistics to obtain a target monitoring set;
monitoring and dynamically controlling the real-time position state of the target to obtain position analysis data containing a positive signal and a different signal;
integrating and analyzing all data counted in the target monitoring set according to the position analysis data to obtain the running state of the corresponding target, and obtaining target analysis data comprising state evaluation coefficients, a plurality of different evaluation signals and the selected target;
and tracing and checking the abnormal states of the selected targets in different abnormal states according to the target analysis data, and performing dynamic management and control on the checked targets determined by the checking and checking in a self-adaptive mode according to the tracing and checking results.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, through monitoring and analyzing the position of the target, the corresponding jurisdiction department can be obtained so as to efficiently inform and prompt the follow-up, and meanwhile, reliable data support can be provided for analyzing whether the target is lost or not; by carrying out matching analysis on the real-time position state of the target, whether the position state of the target is normal or not is judged, so that the jurisdiction can arrange staff to carry out timely and efficient forward processing, and the potential safety hazard is actively eliminated.
On the premise that the position state of the target is normal, the invention obtains the state evaluation coefficient by carrying out simultaneous integration on the data of different aspects of the well lid monitoring, and carries out matching analysis on whether the overall state of the well lid work is abnormal or not and the reasons corresponding to the abnormality based on the state evaluation coefficient, so that the abnormal target can be found and alarm prompt can be carried out in time for processing; and finally, tracing and checking the abnormal target found by the matching analysis to improve the accuracy of the target abnormal analysis, and reducing the error generated by single data analysis so that the subsequent abnormal target can be accurately and efficiently processed, and the potential safety hazard generated by the abnormal target can be timely eliminated, thereby improving the overall effect of the intelligent city traffic operation safety monitoring data evaluation.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a system for evaluating traffic safety monitoring data in a smart city according to the present invention.
FIG. 2 is a block flow diagram of a method for evaluating security monitoring data for intelligent urban traffic operation according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the invention relates to a smart city traffic operation safety monitoring data evaluation system, which comprises a target statistics module, a target monitoring module, a position analysis module, a state analysis module, a traceability verification module, a cloud platform and a database;
the objective of the intelligent urban traffic operation safety monitoring in the embodiment of the invention can be a well lid on a road; the running state of the well lid is analyzed and evaluated from different dimensions to judge whether an abnormality exists, and the reason of the abnormality is analyzed and prompted, so that a management department can perform safety management timely and efficiently, and the overall effect of traffic running safety monitoring is improved;
the target statistics module is used for acquiring position coordinates of a plurality of targets on a traffic road when the targets are installed, the position coordinates can be longitude and latitude and can be acquired through a built-in GPS (global positioning system) positioner, and jurisdiction departments to which the targets belong are acquired according to the position coordinates of the targets; sequentially sequencing and numbering a plurality of targets according to the jurisdiction and the installation time of the targets to obtain a target statistical set and uploading the target statistical set to a cloud platform and a database;
in the embodiment of the invention, through monitoring and analyzing the position of the target, the corresponding jurisdiction department can be obtained so as to efficiently inform and prompt the follow-up, and meanwhile, reliable data support can be provided for analyzing whether the target is lost or not;
the target monitoring module is used for monitoring the target from different aspects and carrying out data acquisition statistics to obtain a target monitoring set; comprising the following steps:
acquiring any point on the upper surface of a road well where a target is positioned for supporting, setting the point as a coordinate origin, and constructing a three-dimensional coordinate system according to the coordinate origin, a preset coordinate direction and a preset coordinate interval; the X axis and the Y axis of the three-dimensional coordinate system are on the same horizontal plane with the road surface, and the Z axis of the three-dimensional coordinate system can be vertically upwards;
respectively setting the X axis and the Y axis of the three-dimensional coordinate system and the intersection point at the edge of the outer surface of the target as a first sensing point, a second sensing point, a third sensing point and a fourth sensing point according to a preset arrangement sequence; simultaneously, angle sensors are respectively arranged on the first sensing point, the second sensing point, the third sensing point and the fourth sensing point, the deflection condition of each sensing point is monitored through the angle sensors, and the angles obtained by monitoring the first sensing point, the second sensing point, the third sensing point and the fourth sensing point are respectively marked as JJi, i=1, 2,3 and 4; the angles obtained by monitoring the sensing points form angle monitoring data;
the method comprises the steps that positions corresponding to a first sensing point, a second sensing point, a third sensing point and a fourth sensing point on the lower surface of a target are respectively set as a first monitoring point, a second monitoring point, a third monitoring point and a fourth monitoring point, sound sensors are respectively arranged on the first monitoring point, the second monitoring point, the third monitoring point and the fourth monitoring point, the loudness conditions of the monitoring points are monitored through the sound sensors, and the loudness obtained through monitoring of the first monitoring point, the second monitoring point, the third monitoring point and the fourth monitoring point is respectively marked as SXi; the loudness obtained by monitoring the monitoring points forms loudness monitoring data; the loudness monitoring mainly comprises the steps of separating a manhole cover from a road well and then generating sound in the contact process, wherein the larger the intermittent sound obtained by monitoring is, the poorer the stability of the corresponding manhole cover is;
the angle monitoring data and the loudness monitoring data form a target monitoring set and are uploaded to a cloud platform and a database;
in the embodiment of the invention, through monitoring and carrying out data statistics from the offset aspect and the generated noise aspect of the target, the possible abnormality of the target can be analyzed from different aspects, so that the possible abnormality of the target can be processed in a targeted manner, and the diversity of the target abnormality analysis is improved;
the position analysis module is used for monitoring and dynamically controlling the real-time position state of the target to obtain position analysis data; comprising the following steps:
when the running state of the target is carried out, acquiring real-time position coordinates of the target and reference position coordinates during installation according to the established three-dimensional coordinate system, calculating and acquiring a distance value between the real-time position coordinates and the reference position coordinates of the target through a distance formula, and carrying out matching analysis;
if the distance value is smaller than the preset distance threshold value, judging that the real-time position state of the corresponding target is normal, generating a bit positive signal, and carrying out the operation state analysis of the next target according to the bit positive signal; the distance threshold can be set based on big data of the running of the existing municipal manhole cover or customized by experience;
if the distance value is not smaller than the preset distance threshold value, judging that the real-time position state of the corresponding target is abnormal, generating a position difference signal, and prompting the jurisdiction to which the target belongs to process the position difference signal according to the position difference signal; the well cover is separated from the corresponding road well, so that a great potential safety hazard exists, and the well cover needs to be processed timely and efficiently, so that pedestrians are prevented from falling into the road well or the passing vehicles are prevented from being damaged;
the positive signals and the different signals form position analysis data and are uploaded to a cloud platform and a database;
in the embodiment of the invention, the real-time position state of the target is subjected to matching analysis to judge whether the position state of the target is normal, so that the jurisdiction can arrange staff to perform timely and efficient forward processing, and the potential safety hazard is actively eliminated;
the state analysis module is used for integrating and analyzing all data counted in the target monitoring set according to the position analysis data to obtain the running state of the corresponding target, so as to obtain target analysis data; comprising the following steps:
when the next running state analysis is carried out according to the bit positive signals in the position analysis data, obtaining the road type corresponding to the road where the target is located, setting different road types to correspond to different type weights, matching the obtained road type with all the road types in the database to obtain the corresponding type weights, and marking the corresponding type weights as LQ; the road type can be set based on the number of unidirectional lanes, the type weight is used for expressing the digitization and differentiation of the text type of the road, and the importance of the manhole cover on different roads can be expressed differently through the type weight;
acquiring angle monitoring data and loudness monitoring data in a target monitoring set; extracting the numerical values of all the marked data, integrating the numerical values in parallel, and calculating to obtain a state evaluation coefficient ZPX corresponding to the target; the calculation formula of the state evaluation coefficient ZPX is:
wherein, g1 and g2 are different ratio coefficients larger than zero, g1 is smaller than g2, g1 can take the value of 1.276, and g2 can take the value of 2.683; JJ0 is a preset standard deviation angle, and SX0 is a preset standard loudness; the preset standard deviation angle and standard loudness can be obtained based on the existing well lid monitoring big data, and can be customized by experience;
it should be noted that, the state evaluation coefficient is a numerical value for integrating the monitoring data of different aspects of the target to perform overall evaluation on the operation state thereof; each data item in the formula and the calculation result are in a proportional relation, and the larger the state evaluation coefficient obtained by calculation is, the better the running state of the corresponding target is, and the more hidden danger exists;
acquiring a state evaluation threshold preset in a database, and carrying out matching analysis on a state evaluation coefficient and the state evaluation threshold; the state evaluation threshold value can be set based on the manhole cover big data of the type corresponding to the actual scene;
if the state evaluation coefficient is smaller than P% of the state evaluation threshold, P is a real number smaller than one hundred, and the value is 60, judging that the overall state of the corresponding target is normal and generating a first state evaluation signal;
if the state evaluation coefficient is not smaller than P% of the state evaluation threshold and is not larger than the state evaluation threshold, judging that the leveling state of the corresponding target is abnormal, generating a second state evaluation signal, and marking the corresponding target as a first selected target according to the second state evaluation signal; the abnormal state of the well cover can be generally understood as uneven well cover;
if the state evaluation coefficient is not smaller than the state evaluation threshold and is not larger than the Q of the state evaluation threshold, Q is a real number larger than one hundred, and the value is 160, judging that the noise state of the corresponding target is abnormal and generating a third state evaluation signal, and marking the corresponding target as a second selected target according to the third state evaluation signal; the noise state abnormality can be understood in a popular way, and noise can be generated when a person or a vehicle passes through the installed manhole cover;
if the state evaluation coefficient is larger than the Q value of the state evaluation threshold, judging that the overall state of the corresponding target is abnormal, generating a fourth state evaluation signal, and marking the corresponding target as a third selected target according to the fourth state evaluation signal; the abnormal overall state can be understood as that the manhole cover is uneven and noise is generated when a person passes or a vehicle passes;
the state evaluation coefficient and the corresponding first, second and third evaluation signals and the first, second, fourth and third selected targets form target analysis data and are uploaded to a cloud platform and a database;
in the embodiment of the invention, the state evaluation coefficients are obtained by carrying out simultaneous integration on the data of different aspects of the well lid monitoring, and whether the overall state of the well lid work is abnormal or not and the reasons corresponding to the abnormality are subjected to matching analysis based on the state evaluation coefficients, so that an abnormal target can be found and alarm prompt can be timely carried out for processing;
the tracing verification module is used for tracing verification of the abnormality of the selected target in different abnormal states according to the target analysis data, and performing dynamic management and control on the selected target determined by verification in a self-adaptive mode according to the tracing verification result; comprising the following steps:
acquiring target analysis data and sequentially tracing and checking anomalies of the first selected target, the second selected target and the third selected target;
respectively counting the total times of the same abnormality or higher-level abnormality occurring subsequently after the first selected object, the second selected object and the third selected object occur for the first time, and respectively counting and marking the total times as a first total times, a second total times and a third total times; respectively carrying out matching analysis on the first total times, the second total times and the third total times and the corresponding first total number threshold value, second total number threshold value and third total number threshold value;
if the first total times are larger than the first total times threshold, the second total times are larger than the second total times threshold or the third total times are larger than the third total times threshold, judging that the abnormal state verification of the corresponding target passes and generating an alarm signal, and prompting the jurisdiction to which the corresponding target belongs according to the alarm signal to process the abnormal state verification; the first total threshold value, the second total threshold value and the third total threshold value are sequentially reduced, and can be set based on the existing manhole cover monitoring big data;
otherwise, judging that the abnormal state verification of the corresponding target does not pass, generating a tracing signal, and continuously tracing and verifying the abnormal states of the corresponding first selected target, the second selected target and the third selected target according to the tracing signal.
In the embodiment of the invention, the aim of performing traceability verification is to improve the accuracy of target anomaly analysis and reduce errors generated by single data analysis, so that the subsequent anomalous target can be accurately and efficiently processed, and the potential safety hazard generated by the anomalous target can be timely eliminated;
in addition, the formulas related in the above are all formulas with dimensions removed and numerical values calculated, and are a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and the proportionality coefficient in the formulas and each preset threshold value in the analysis process are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data; the size of the scaling factor is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the scaling factor depends on the number of sample data and the corresponding processing coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
Example two
As shown in fig. 2, the present invention is a smart city traffic operation safety monitoring data evaluation method, comprising:
acquiring position coordinates of a plurality of targets on a traffic channel when the targets are installed, and acquiring jurisdiction departments to which the targets belong according to the position coordinates of the targets; sequentially sequencing and numbering a plurality of targets according to the jurisdiction and the installation time of the targets to obtain a target statistics set;
monitoring the target from different aspects and carrying out data acquisition statistics to obtain a target monitoring set;
monitoring and dynamically controlling the real-time position state of the target to obtain position analysis data containing a positive signal and a different signal;
integrating and analyzing all data counted in the target monitoring set according to the position analysis data to obtain the running state of the corresponding target, and obtaining target analysis data comprising state evaluation coefficients, a plurality of different evaluation signals and the selected target;
and tracing and checking the abnormal states of the selected targets in different abnormal states according to the target analysis data, and performing dynamic management and control on the checked targets determined by the checking and checking in a self-adaptive mode according to the tracing and checking results.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. The intelligent city traffic operation safety monitoring data evaluation system is characterized by comprising a target statistics module, a target analysis module and a control module, wherein the target statistics module is used for acquiring position coordinates of a plurality of targets on a traffic road when the targets are installed and acquiring jurisdiction departments to which the targets belong according to the position coordinates of the targets; sequentially sequencing and numbering a plurality of targets according to the jurisdiction and the installation time of the targets to obtain a target statistical set and uploading the target statistical set to a cloud platform and a database;
the target monitoring module is used for monitoring the target from different aspects and carrying out data acquisition statistics to obtain a target monitoring set and uploading the target monitoring set to the cloud platform and the database;
the position analysis module is used for monitoring and dynamically controlling the real-time position state of the target, obtaining position analysis data and uploading the position analysis data to the cloud platform and the database; comprising the following steps:
when the running state of the target is carried out, acquiring real-time position coordinates of the target and reference position coordinates during installation according to the established three-dimensional coordinate system, acquiring distance values between the real-time position coordinates and the reference position coordinates of the target, and carrying out matching analysis;
if the distance value is smaller than the preset distance threshold value, judging that the real-time position state of the corresponding target is normal, generating a bit positive signal, and carrying out the operation state analysis of the next target according to the bit positive signal;
if the distance value is not smaller than the preset distance threshold value, judging that the real-time position state of the corresponding target is abnormal, generating a position difference signal, and prompting the jurisdiction to which the target belongs to process the position difference signal according to the position difference signal; the bit positive signal and the bit negative signal form position analysis data;
the state analysis module is used for integrating and analyzing all data counted in the target monitoring set according to the position analysis data to obtain the running state of the corresponding target, obtaining target analysis data and uploading the target analysis data to the cloud platform and the database;
and the tracing verification module is used for tracing verification of the abnormality of the selected target in different abnormal states according to the target analysis data, and performing dynamic management and control on the selected target determined by verification according to the tracing verification result in a self-adaptive manner.
2. The smart city traffic safety monitoring data evaluation system of claim 1, wherein the target monitoring set acquisition step comprises:
acquiring any point on the upper surface of a road well where a target is positioned for supporting, setting the point as a coordinate origin, and constructing a three-dimensional coordinate system according to the coordinate origin, a preset coordinate direction and a preset coordinate interval;
respectively setting the X axis and the Y axis of the three-dimensional coordinate system and the intersection point at the edge of the outer surface of the target as a first sensing point, a second sensing point, a third sensing point and a fourth sensing point according to a preset arrangement sequence; monitoring the deviation condition of each sensing point, and respectively marking the angles obtained by monitoring the first sensing point, the second sensing point, the third sensing point and the fourth sensing point; the angles obtained by monitoring the sensing points form angle monitoring data.
3. The system for evaluating the operation safety monitoring data of the smart city traffic according to claim 2, wherein the positions corresponding to the first sensing point, the second sensing point, the third sensing point and the fourth sensing point on the lower surface of the target are respectively set as a first monitoring point, a second monitoring point, a third monitoring point and a fourth monitoring point, the loudness conditions of the monitoring points are monitored, and the loudness obtained by monitoring the first monitoring point, the second monitoring point, the third monitoring point and the fourth monitoring point is respectively marked; the loudness obtained by monitoring the monitoring points forms loudness monitoring data;
the angle monitoring data and the loudness monitoring data constitute a target monitoring set.
4. The system for evaluating the operation safety monitoring data of the smart city traffic according to claim 1, wherein the working steps of the state analysis module include:
when next running state analysis is carried out according to the bit positive signals in the position analysis data, the road type corresponding to the road where the target is located and the corresponding type weight are obtained and marked;
acquiring angle monitoring data and loudness monitoring data in a target monitoring set; and extracting the numerical values of all the marked data, and vertically integrating the numerical values in parallel to obtain a state evaluation coefficient corresponding to the target.
5. The system for evaluating the operation safety monitoring data of the smart city traffic according to claim 4, wherein the state evaluation coefficient is matched with a preset state evaluation threshold value to obtain a first state evaluation signal, a second state evaluation signal, a third state evaluation signal and a fourth state evaluation signal, and a first selected target, a second selected target and a third selected target corresponding to the second state evaluation signal, the third state evaluation signal and the fourth state evaluation signal;
the state evaluation coefficients and the corresponding first, second and first, third and second, fourth and third evaluation signals and targets constitute target analysis data.
6. The system for evaluating the operation safety monitoring data of the smart city traffic according to claim 1, wherein the working steps of the traceability verification module comprise:
acquiring target analysis data and sequentially tracing and checking anomalies of the first selected target, the second selected target and the third selected target; respectively counting the total times of the same abnormality or higher-level abnormality occurring subsequently after the first selected object, the second selected object and the third selected object occur for the first time, and respectively counting and marking the total times as a first total times, a second total times and a third total times; and respectively carrying out matching analysis on the first total times, the second total times and the third total times and the corresponding first total number threshold value, the second total number threshold value and the third total number threshold value.
7. The system for evaluating the operation safety monitoring data of the smart city traffic according to claim 6, wherein if the first total number is greater than the first total number threshold, the second total number is greater than the second total number threshold, or the third total number is greater than the third total number threshold, it is determined that the abnormal state verification of the corresponding target passes and an alarm signal is generated, and the jurisdiction to which the corresponding target belongs is prompted to process the abnormal state verification according to the alarm signal; wherein the values of the first total threshold, the second total threshold and the third total threshold are sequentially reduced;
otherwise, judging that the abnormal state verification of the corresponding target does not pass, generating a tracing signal, and continuously tracing and verifying the abnormal states of the corresponding first selected target, the second selected target and the third selected target according to the tracing signal.
8. A method for evaluating operation safety monitoring data of smart city traffic, applied to the system for evaluating operation safety monitoring data of smart city traffic according to any one of claims 1 to 7, comprising:
acquiring position coordinates of a plurality of targets on a traffic channel when the targets are installed, and acquiring jurisdiction departments to which the targets belong according to the position coordinates of the targets; sequentially sequencing and numbering a plurality of targets according to the jurisdiction and the installation time of the targets to obtain a target statistics set;
monitoring the target from different aspects and carrying out data acquisition statistics to obtain a target monitoring set;
monitoring and dynamically controlling the real-time position state of the target to obtain position analysis data containing a positive signal and a different signal;
integrating and analyzing all data counted in the target monitoring set according to the position analysis data to obtain the running state of the corresponding target, and obtaining target analysis data comprising state evaluation coefficients, a plurality of different evaluation signals and the selected target;
and tracing and checking the abnormal states of the selected targets in different abnormal states according to the target analysis data, and performing dynamic management and control on the checked targets determined by the checking and checking in a self-adaptive mode according to the tracing and checking results.
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