CN116007576A - Road settlement detection system and method based on artificial intelligence analysis - Google Patents
Road settlement detection system and method based on artificial intelligence analysis Download PDFInfo
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- CN116007576A CN116007576A CN202310112123.3A CN202310112123A CN116007576A CN 116007576 A CN116007576 A CN 116007576A CN 202310112123 A CN202310112123 A CN 202310112123A CN 116007576 A CN116007576 A CN 116007576A
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Abstract
The invention discloses a road settlement detection system and method based on artificial intelligence analysis, comprising the following steps: the road settlement displacement control module with different reasons is used for analyzing road finishing demand signals caused by different reasons and adjusting and analyzing algorithm parameter information by the cloud server road data management module; the road settlement sensor data acquisition module is used for acquiring road settlement specific position data in real time through sensors of different types; the road settlement analysis algorithm calculation module is used for setting working states of road settlement specific positions of different periods of road grade management by the cloud server road data management module; and the road settlement damage degree trimming module is used for receiving the road settlement specific position command and managing the specific damage degree of the road according to the command. The invention improves the utilization rate of road settlement information and the management and control data management strength of road grade, and enhances the control quality of road settlement flow.
Description
Technical Field
The invention relates to the field of road settlement, in particular to a road settlement detection system and method based on artificial intelligence analysis.
Background
Roads, which are roads, urban roads and places in jurisdiction of the units where social motor vehicles are allowed to pass, may be settled during road traffic. The road sedimentation phenomenon has a large potential safety hazard, and road sedimentation easily causes malignant traffic accidents, so that the road sedimentation needs to be detected and prevented.
The existing road settlement detection method does not select a certain amount of settlement detection points during detection, the range of a detection road section is small, the reliability of detection data is insufficient, the position of a road settlement area, the settlement depth and the width cannot be sufficiently detected, backup storage of detected data is inconvenient, and the situation that data are lost is likely to occur.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the invention provides a road settlement detection system and method based on artificial intelligence analysis.
The invention relates to a road settlement detection system based on artificial intelligence analysis, which comprises a road settlement displacement control module, a road settlement sensor data acquisition module, a road settlement analysis algorithm calculation module, a cloud server road data management module, a road settlement damage degree trimming module and a road settlement trafficability evaluation module for different reasons;
the road settlement displacement control module with different reasons is used for analyzing road finishing demand signals caused by different reasons and adjusting analysis algorithm parameter information by the cloud server road data management module;
the road settlement sensor data acquisition module is used for acquiring road settlement specific position data in real time through sensors of different types and forwarding the data to the road settlement analysis algorithm calculation module;
the road settlement analysis algorithm calculation module is used for setting working states of road settlement specific positions of different time periods for road grade management by the cloud server road data management module and analyzing road settlement displacement distances of different time periods caused by different reasons;
the cloud server road data management module stores road settlement displacement distance control parameters of the system and settlement displacement parameters caused by different reasons; the cloud server road data management module is used for selecting road settlement displacement distance control parameters and quantity of road settlement specific positions of different time periods on the same day from the system data storage and retrieval end, and sending the road settlement displacement distance control parameters and quantity to the cloud server road data management module working state setting for immediate road settlement specific position control;
the road settlement damage degree finishing module is used for receiving a road settlement specific position command, managing the road specific damage degree according to the road grade according to the command, and issuing the road settlement specific position evaluation quality;
the road settlement trafficability evaluation module is used for adjusting the pre-stored data information through the road grade management control and carrying out corresponding operation according to the control command according to the road feasibility corresponding to the road grade management data request and acquiring and adjusting the road grade management control corresponding to the road grade management data request.
As a preferable technical scheme, the adjustment analysis algorithm parameter information is stored in a road grade management data cloud server; the road grade management data cloud server is used for receiving road grade management flow requests sent by different reasons; the road level management flow request comprises a road level management data request, wherein the road level management data request comprises a road level management model parameter, the feasibility of a road level management control road, road level management data and a control command, and the road level management data request is sent to a corresponding cloud server road data management module according to the feasibility of the road level management control road.
As a preferable technical scheme, the transmitted adjustment analysis algorithm parameter information caused by different reasons is converted into intelligent road finishing requirements and triggering conditions, and the intelligent road finishing requirements and triggering conditions are written into the road settlement displacement control modules with different reasons, and the adjustment analysis algorithm parameter information is transmitted to the cloud server; the cloud server receives end information caused by different reasons, writes the end information into a road settlement analysis algorithm calculation module, sends adjustment analysis algorithm parameter information to a cloud server remote control platform when receiving an intelligent road finishing demand command of a road settlement damage degree finishing module, returns road settlement specific position information when receiving a road settlement specific position failure command of the road settlement damage degree finishing module, and generates an inconsistent signal; the cloud server remote control platform receives end information caused by different reasons, writes the end information into the road settlement analysis algorithm calculation module, sends adjustment analysis algorithm parameter information to the system maintenance part and the road management part when receiving an intelligent road finishing demand command of the road settlement damage degree finishing module, returns road settlement specific position information and generates an inconsistent signal when receiving a road settlement specific position failure command of the road settlement damage degree finishing module.
As a preferable technical scheme, the road settlement damage degree finishing module receives parameter information of an adjustment analysis algorithm, writes the parameter information into the road settlement analysis algorithm calculation module, transfers a road grade management control instruction according to road finishing demand content when the road settlement trafficability assessment module executes an intelligent road finishing demand command, returns road settlement specific position information when the road settlement specific position failure command of the road settlement trafficability assessment module is received, and generates an inconsistent signal; the road management part receives the details of the road settlement specific positions, writes the details into the road settlement analysis algorithm calculation module, adjusts and recalculates model parameters according to the road finishing requirement content when receiving the intelligent road finishing requirement command of the road settlement specific position decision unit, returns the road settlement specific position information and generates inconsistent signals when receiving the road settlement specific position failure command of the road settlement trafficability evaluation module; and the administrator receives the control instruction for transferring road grade management, adjusts and recalculates the information of the model parameters, and writes the information into the road settlement analysis algorithm calculation module.
As a preferable technical scheme, the road settlement trafficability evaluation module invokes the adaptation of the information in the road settlement analysis algorithm calculation module and the current adjustment analysis algorithm parameter information in the road settlement specific position process, judges whether the adjustment analysis algorithm parameter information meets the triggering condition of the intelligent road finishing requirement, and if the update times stored by the cloud server road data management module are equal to the update times agreed in the intelligent road finishing requirement; the updating time stored by the cloud server road data management module is equal to the updating time agreed in the intelligent road finishing requirement; the settlement displacement parameters caused by different reasons of the updated memory of the cloud server road data management module are equal to those caused by different reasons of the updated memory appointed in the intelligent road finishing requirement; and the road settlement specific position time stored by the cloud server road data management module is equal to the road settlement specific position time appointed in the intelligent road finishing requirement, if so, an intelligent road finishing requirement command is sent and executed, and if not, a road settlement specific position failure command is sent.
As a preferable technical scheme, the road settlement analysis algorithm calculation module monitors the flow of the operation process of the working end of each road settlement specific position, and monitors the flow of the road settlement specific position information set of the data filter screen; in an initial state, the cloud server road data management module logs in a flow control module, and initially sets flow analysis rules of road grade management and road settlement specific position processes according to policy regulations and road settlement specific position flow analysis rules, wherein the initial setting comprises trigger event rule setting, interval setting of limiting conditions and initial value setting of limiting conditions; the road settlement specific position data analysis cloud server further comprises a flow maintenance analysis module; the data acquisition device periodically transmits the related data of the flow analysis information to the road settlement specific position data analysis cloud server; and optimizing the limiting conditions of the existing flow analysis rules by the cloud server road data management module according to the actual road settlement specific position data statistics conditions and the historical road settlement specific position data statistics conditions at different time periods to generate new flow analysis rules, and sending the new flow analysis rules to the flow control module to realize flow maintenance optimization of road grade management and road settlement specific position processes.
The invention relates to a road settlement detection method based on artificial intelligence analysis, which comprises the following steps:
step S1: inputting information caused by different reasons and adjustment analysis algorithm parameter information to a road settlement displacement control module caused by different reasons;
step S2: the road grade management data cloud server receives road grade management flow requests sent by different reasons;
step S3: the road grade management data cloud server writes the road grade management data cloud server into road settlement displacement control modules of different reasons according to the requirements and triggering conditions of intelligent road finishing;
step S4: when the intelligent road finishing demand command is executed by the road settlement damage degree finishing module, road settlement specific position control information is sent to the cloud server remote control platform;
step S5: when the intelligent road finishing demand command is executed by the road settlement damage degree finishing module, the parameter information of the adjustment analysis algorithm is sent to the system maintenance part and the road management part;
step S6: transferring a road grade management control instruction according to the road finishing demand content when the road settlement trafficability evaluation module executes the intelligent road finishing demand command;
step S7: the road management part receives the concrete position details of road settlement, writes the concrete position details into the road settlement analysis algorithm calculation module, and adjusts and recalculates model parameters according to the road finishing demand content when the intelligent road finishing demand command is executed by the road settlement trafficability evaluation module;
step S8: the road settlement trafficability evaluation module invokes the information in the road settlement analysis algorithm calculation module to be matched with the parameter information of the current adjustment analysis algorithm in the process of the concrete position of the road settlement, and if the matching is correct, the road grade management control is completed, and meanwhile, archiving is carried out;
step S9: and the road settlement analysis algorithm calculation module monitors the flow of the operation process of the working end of each road settlement specific position.
In a preferred technical solution, in step S1, the road settlement displacement control modules with different causes include a parameter balance management module with different causes for managing parameter balance information with different causes, and a road settlement specific position adjustment management module for managing parameter information of an adjustment analysis algorithm.
The invention has the following beneficial effects:
according to the road settlement control method, the road class management data cloud server receives the road class management flow requests sent by different reasons, the road class management flow requests are written into the road settlement displacement control modules of different reasons according to the intelligent road finishing requirements and the triggering conditions, the road settlement trafficability evaluation module invokes the adaptation of the information in the road settlement analysis algorithm calculation module and the parameter information of the current adjustment analysis algorithm in the road settlement specific position process, the road class management control is completed, the utilization rate of the road class management information and the road class management control data management strength are improved, and the road settlement flow control quality is enhanced. Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a system of the present invention;
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments and features of the embodiments in the present application may be combined with each other, and the present application will be further described in detail with reference to the drawings and the specific embodiments.
1-2, the invention discloses a road settlement detection system based on artificial intelligence analysis, which comprises a road settlement displacement control module, a road settlement sensor data acquisition module, a road settlement analysis algorithm calculation module, a road grade management cloud server, a road settlement damage degree trimming module and a road settlement trafficability assessment module for different reasons;
the road settlement displacement control module with different reasons is used for analyzing road finishing demand signals caused by different reasons and adjusting and analyzing algorithm parameter information by the cloud server road data management module;
the road settlement sensor data acquisition module is used for acquiring road settlement specific position data in real time through sensors of different types and forwarding the data to the road settlement analysis algorithm calculation module;
the road settlement analysis algorithm calculation module is used for setting working states of road settlement specific positions of different time periods in road grade management by the cloud server road data management module and analyzing road settlement displacement distances of different time periods caused by different reasons;
the road settlement analysis algorithm calculation module is characterized in that the road settlement analysis algorithm expression is as follows:
in the method, in the process of the invention,
expressed as a cause analysis function of road sedimentation, +.>
Raw data set representing sedimentation caused by different reasons,/->
A repair order for road class management is issued for different reasons>
Expressed as a set of all road trafficability;
the cloud server road data management module stores road sedimentation displacement distance control parameters of the system and sedimentation displacement parameters caused by different reasons; the cloud server road data management module is used for selecting road settlement displacement distance control parameters and quantity of road settlement specific positions of different periods of time on the same day from the system data storage and retrieval end, and sending the road settlement displacement distance control parameters and quantity to the transaction staff to set up working states of the transaction staff for immediate road settlement specific position control;
the road settlement damage degree trimming module is used for receiving a road settlement specific position command, managing the road specific damage degree according to the road grade, and issuing the road settlement specific position evaluation quality;
the road settlement trafficability evaluation module is used for acquiring the road grade management control corresponding to the road grade management data regulation request according to the feasibility of the road grade management control road corresponding to the road grade management data request, regulating the pre-stored data information through the road grade management control, and carrying out corresponding operation according to the control command.
The adjustment analysis algorithm parameter information is stored in the road grade management data cloud server; the road grade management data cloud server is used for receiving road grade management flow requests sent by different reasons; the road level management flow request comprises a road level management data request comprising road level management model parameters, the feasibility of a road level management control road, road level management data and a control command, and the road level management data request is sent to a corresponding cloud server road data management module according to the feasibility of the road level management control road.
The method comprises the steps that the transmitted adjustment analysis algorithm parameter information caused by different reasons is converted into intelligent road finishing requirements and triggering conditions, the intelligent road finishing requirements and triggering conditions are written into road settlement displacement control modules of different reasons, and the adjustment analysis algorithm parameter information is transmitted to a cloud server; the cloud server receives end information caused by different reasons, writes the end information into a road settlement analysis algorithm calculation module, sends adjustment analysis algorithm parameter information to a cloud server remote control platform when receiving an intelligent road settlement demand command of a road settlement damage degree finishing module, returns road settlement specific position information when receiving a road settlement specific position failure command of the road settlement damage degree finishing module, and generates an inconsistent signal; the cloud server remote control platform receives end information caused by different reasons, writes the end information into the road settlement analysis algorithm calculation module, sends adjustment analysis algorithm parameter information to the system maintenance part and the road management part when receiving an intelligent road finishing demand command of the road settlement damage degree finishing module, returns road settlement specific position information and generates an inconsistent signal when receiving a road settlement specific position failure command of the road settlement damage degree finishing module.
The road settlement damage degree finishing module receives the parameter information of the adjustment analysis algorithm, writes the parameter information into the road settlement analysis algorithm calculation module, transfers the road grade management control instruction according to the road finishing demand content when the road settlement trafficability assessment module executes the intelligent road finishing demand command, returns the road settlement specific position information when the road settlement specific position failure command of the road settlement trafficability assessment module is received, and generates an inconsistent signal; the road management part receives the details of the concrete road settlement positions, writes the details into the road settlement analysis algorithm calculation module, adjusts and recalculates model parameters according to the road finishing requirement content when the intelligent road finishing requirement command is executed by the road settlement trafficability assessment module, returns the concrete road settlement position information and generates inconsistent signals when the road settlement concrete position failure command of the road settlement trafficability assessment module is received; and the administrator receives the control instruction for transferring road grade management, adjusts and recalculates the information of the model parameters, and writes the information into the road settlement analysis algorithm calculation module.
The road settlement trafficability evaluation module invokes the information in the road settlement analysis algorithm calculation module to be matched with the current adjustment analysis algorithm parameter information in the road settlement specific position process, judges whether the adjustment analysis algorithm parameter information meets the triggering condition of the intelligent road finishing requirement or not, and if the update times stored by the cloud server road data management module are equal to the update times agreed in the intelligent road finishing requirement; the updating time stored by the cloud server road data management module is equal to the updating time agreed in the intelligent road finishing requirement; the settlement displacement parameters caused by different reasons of the updated memory of the road grade management cloud server are equal to those caused by different reasons of the updated memory appointed in the intelligent road finishing requirement; and the road settlement specific position time stored by the cloud server road data management module is equal to the road settlement specific position time appointed in the intelligent road finishing requirement, if so, an intelligent road finishing requirement command is sent and executed, and if not, a road settlement specific position failure command is sent.
The road settlement analysis algorithm calculation module monitors the flow of the operation process of the working end of each road settlement specific position, and simultaneously monitors the flow of the road settlement specific position information set of the data filter screen; in an initial state, the cloud server road data management module logs in a flow control module, and initially sets flow analysis rules of road grade management and road settlement specific position processes according to policy regulations and road settlement specific position flow analysis rules, wherein the initial setting comprises trigger event rule setting, interval setting of limiting conditions and initial value setting of limiting conditions; the road settlement specific position data analysis cloud server also comprises a flow maintenance analysis module; the data acquisition device periodically transmits the related data of the flow analysis information to a road settlement specific position data analysis cloud server; and optimizing the limiting conditions of the existing flow analysis rules by the cloud server road data management module according to the actual road settlement specific position data statistics conditions and the historical road settlement specific position data statistics conditions at different time periods to generate new flow analysis rules, and sending the new flow analysis rules to the flow control module to realize flow maintenance optimization of road grade management and road settlement specific position processes.
As shown in fig. 2, the invention provides a road settlement detection method based on artificial intelligence analysis, which comprises the following steps:
step S1: inputting information caused by different reasons and adjustment analysis algorithm parameter information to a road settlement displacement control module caused by different reasons;
step S2: the road grade management data cloud server receives road grade management flow requests sent by different reasons;
step S3: the road grade management data cloud server writes the road grade management data cloud server into road settlement displacement control modules of different reasons according to the requirements and triggering conditions of intelligent road finishing;
step S4: when the intelligent road finishing demand command is executed by the road settlement damage degree finishing module, road settlement specific position data are sent to the cloud server remote control platform;
step S5: when the intelligent road finishing demand command is executed by the road settlement damage degree finishing module, the parameter information of the adjustment analysis algorithm is sent to the system maintenance part and the road management part;
step S6: transferring a road grade management control instruction according to the road finishing demand content when the road settlement trafficability evaluation module executes the intelligent road finishing demand command;
step S7: the road management part receives the details of the road settlement specific positions, writes the details into the road settlement analysis algorithm calculation module, and adjusts and recalculates model parameters according to the road finishing demand content when receiving the intelligent road finishing demand command of the road settlement specific position full-braking regulation liquid level module;
step S8: the road settlement trafficability evaluation module invokes the information in the road settlement analysis algorithm calculation module to be matched with the parameter information of the current adjustment analysis algorithm in the process of the concrete position of the road settlement, and if the matching is correct, the road grade management control is completed, and meanwhile, archiving is carried out;
step S9: and the road settlement analysis algorithm calculation module monitors the flow of the operation process of the working end of each road settlement specific position.
In step S1, the road settlement displacement control module with different reasons includes a parameter balance management module with different reasons for managing parameter balance information with different reasons and a cloud server for managing and adjusting analysis algorithm parameter information.
In step S9, the process monitoring is performed by processing the process analysis rule limitation conditions, the process analysis rule limitation condition optimization is performed according to the big data analysis mode of the road settlement specific position history, a proper parameter training algorithm is selected, the limitation conditions of the specific compliance process analysis rule and the corresponding road grade management output data are input as training samples, sample analysis is performed, and the parameter training algorithm is continuously perfected through the convolutional neural network, so that the optimal value of the limitation conditions of the compliance process analysis rule is obtained.
It should be noted that, in the above system embodiment, each included module is only divided according to the functional logic, but not limited to the above division, so long as the corresponding function can be implemented; in addition, the specific names of the functional modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, those skilled in the art will appreciate that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program for instructing related hardware, and the corresponding program may be stored in a computer readable storage medium.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "fixed" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art in a specific case.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The road settlement detection system based on artificial intelligent analysis is characterized by comprising a road settlement displacement control module, a road settlement sensor data acquisition module, a road settlement analysis algorithm calculation module, a cloud server road data management module, a road settlement damage degree trimming module and a road settlement trafficability assessment module for different reasons;
the road settlement displacement control module with different reasons is used for analyzing road finishing demand signals caused by different reasons and adjusting analysis algorithm parameter information by the cloud server road data management module;
the road settlement sensor data acquisition module is used for acquiring road settlement specific position data in real time through sensors of different types and forwarding the data to the road settlement analysis algorithm calculation module;
the road settlement analysis algorithm calculation module is used for setting working states of road settlement specific positions of different time periods for road grade management by the cloud server road data management module and analyzing road settlement displacement distances of different time periods caused by different reasons;
the cloud server road data management module stores road settlement displacement distance control parameters of the system and settlement displacement parameters caused by different reasons;
the cloud server road data management module is used for selecting road settlement displacement distance control parameters and quantity of road settlement specific positions of different time periods on the same day from the system data storage and retrieval end, and sending the road settlement displacement distance control parameters and quantity to the cloud server road data management module working state setting for immediate road settlement specific position control;
the road settlement damage degree finishing module is used for receiving a road settlement specific position command, managing the road specific damage degree according to the road grade according to the command, and issuing the road settlement specific position evaluation quality;
the road settlement trafficability evaluation module is used for acquiring and adjusting the road grade management control corresponding to the road grade management data request according to the road feasibility corresponding to the road grade management data request, adjusting the pre-stored data information through the road grade management control and carrying out corresponding operation according to the control command.
2. The system for detecting road settlement based on artificial intelligence analysis according to claim 1, wherein the adjustment analysis algorithm parameter information is stored in a road class management data cloud server; the road grade management data cloud server is used for receiving road grade management flow requests sent by different reasons; the road level management flow request comprises a road level management data request, wherein the road level management data request comprises a road level management model parameter, the feasibility of a road level management control road, road level management data and a control command, and the road level management data request is sent to a corresponding cloud server road data management module according to the feasibility of the road level management control road.
3. The road settlement detection system based on artificial intelligence analysis according to claim 1, wherein the parameter information of the adjustment analysis algorithm sent by different reasons is converted into intelligent road finishing requirements and triggering conditions, and written into road settlement displacement control modules of different reasons, and the parameter information of the adjustment analysis algorithm is sent to a cloud server; the cloud server receives end information caused by different reasons, writes the end information into a road settlement analysis algorithm calculation module, sends adjustment analysis algorithm parameter information to a cloud server remote control platform when receiving an intelligent road finishing demand command of a road settlement damage degree finishing module, returns road settlement specific position information when receiving a road settlement specific position failure command of the road settlement damage degree finishing module, and generates an inconsistent signal; the cloud server remote control platform receives end information caused by different reasons, writes the end information into the road settlement analysis algorithm calculation module, sends adjustment analysis algorithm parameter information to the system maintenance part and the road management part when receiving an intelligent road finishing demand command of the road settlement damage degree finishing module, returns road settlement specific position information and generates an inconsistent signal when receiving a road settlement specific position failure command of the road settlement damage degree finishing module.
4. The system of claim 1, wherein the road settlement damage degree finishing module receives parameter information of an adjustment analysis algorithm, writes the parameter information into the road settlement analysis algorithm calculation module, transfers a road class management control instruction according to road finishing demand content when the road settlement trafficability assessment module executes an intelligent road finishing demand command, and returns road settlement specific position information and generates an inconsistent signal when the road settlement specific position failure command of the road settlement trafficability assessment module is received; the road management part receives the details of the concrete road settlement positions, writes the details into the road settlement analysis algorithm calculation module, adjusts and recalculates model parameters according to the road finishing requirement content when the intelligent road finishing requirement command is executed by the road settlement trafficability assessment module, returns the concrete road settlement position information and generates inconsistent signals when the road settlement concrete position failure command of the road settlement trafficability assessment module is received; and the administrator receives the control instruction for transferring road grade management, adjusts and recalculates the information of the model parameters, and writes the information into the road settlement analysis algorithm calculation module.
5. The road settlement detection system based on artificial intelligence analysis according to claim 1, wherein the road settlement trafficability evaluation module invokes the adaptation of the information in the road settlement analysis algorithm calculation module and the current adjustment analysis algorithm parameter information in the road settlement specific position process, judges whether the adjustment analysis algorithm parameter information meets the triggering condition of the intelligent road finishing requirement, and if the update times stored by the cloud server road data management module are equal to the update times agreed in the intelligent road finishing requirement; the updating time stored by the cloud server road data management module is equal to the updating time agreed in the intelligent road finishing requirement; the settlement displacement parameters caused by different reasons of the updated memory of the cloud server road data management module are equal to those caused by different reasons of the updated memory appointed in the intelligent road finishing requirement; and the road settlement specific position time stored by the cloud server road data management module is equal to the road settlement specific position time appointed in the intelligent road finishing requirement, if so, an intelligent road finishing requirement command is sent and executed, and if not, a road settlement specific position failure command is sent.
6. The road settlement detection system based on artificial intelligence analysis according to claim 1, wherein the road settlement analysis algorithm calculation module monitors the flow of the operation process of the working end of each road settlement specific position, and monitors the flow of the road settlement specific position information set of the data filter screen; in an initial state, the cloud server road data management module logs in a flow control module, and initially sets flow analysis rules of road grade management and road settlement specific position processes according to policy regulations and road settlement specific position flow analysis rules, wherein the initial setting comprises trigger event rule setting, interval setting of limiting conditions and initial value setting of limiting conditions; the road settlement specific position data analysis cloud server further comprises a flow maintenance analysis module; the data acquisition device periodically transmits the related data of the flow analysis information to the road settlement specific position data analysis cloud server; and optimizing the limiting conditions of the existing flow analysis rules by the cloud server road data management module according to the actual road settlement specific position data statistics conditions and the historical road settlement specific position data statistics conditions in different time periods to generate new flow analysis rules, and sending the new flow analysis rules to the flow control module.
7. The road settlement detection method based on artificial intelligence analysis is characterized by comprising the following steps:
step S1: inputting information caused by different reasons and adjustment analysis algorithm parameter information to a road settlement displacement control module caused by different reasons;
step S2: the road grade management data cloud server receives road grade management flow requests sent by different reasons;
step S3: the road grade management data cloud server writes the road grade management data cloud server into road settlement displacement control modules of different reasons according to the requirements and triggering conditions of intelligent road finishing;
step S4: when the intelligent road finishing demand command is executed by the road settlement damage degree finishing module, the parameter information of the adjustment analysis algorithm is sent to the cloud server remote control platform;
step S5: when the intelligent road finishing demand command is executed by the road settlement damage degree finishing module, the parameter information of the adjustment analysis algorithm is sent to the system maintenance part and the road management part;
step S6: transferring a road grade management control instruction according to the road finishing demand content when the road settlement trafficability evaluation module executes the intelligent road finishing demand command;
step S7: the road management part receives the concrete position details of road settlement, writes the concrete position details into the road settlement analysis algorithm calculation module, and adjusts and recalculates model parameters according to the road finishing demand content when the intelligent road finishing demand command is executed by the road settlement trafficability evaluation module;
step S8: the road settlement trafficability evaluation module invokes the information in the road settlement analysis algorithm calculation module to be matched with the parameter information of the current adjustment analysis algorithm in the process of the concrete position of the road settlement, and if the matching is correct, the road grade management control is completed, and meanwhile, archiving is carried out;
step S9: and the road settlement analysis algorithm calculation module monitors the flow of the operation process of the working end of each road settlement specific position.
8. The method according to claim 7, wherein in the step S1, the road settlement displacement control modules with different causes comprise a parameter balance management module with different causes for managing parameter balance information with different causes and a cloud server for managing parameter information of the adjustment analysis algorithm.
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