CN113033840A - Method and device for judging highway maintenance - Google Patents
Method and device for judging highway maintenance Download PDFInfo
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Abstract
The invention provides a method and a device for judging highway maintenance, which relate to the technical field of highway management and are characterized in that a first passing speed of a first road section is obtained; judging whether the first passing speed is lower than a first preset threshold value or not; when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section; identifying a first photo according to the first image information; intelligently identifying the first photo to obtain first road condition information; judging whether the first road condition information meets a second preset threshold value or not; when the second preset threshold is met, obtaining first position information according to the first photo; according to the first position information, the first road section is checked according to a preset strategy, the maintenance opportunity can be timely controlled and predicted, problems can be found and handled as soon as possible, the accident rate is reduced, the overall safety of the road is improved, and the technical effect of strong practicability is achieved.
Description
Technical Field
The invention relates to the technical field of highway management, in particular to a method and a device for judging highway maintenance.
Background
The large-scale construction of roads in China begins from the 80 th of the 20 th century, and at present, a road network is basically formed. The road must be maintained scientifically and reasonably to ensure that the road keeps a good operation state, and the road needs to be maintained in time in order to ensure the safety, functionality and structure of the road. The maintenance of the highway is the operation carried out for keeping the highway in a good state, preventing the use quality of the highway from being reduced and providing good service for highway users, is a term in highway science and technology and road engineering, and has a great effect on environmental protection. Therefore, maintenance and repair measures must be taken after the road is built and the vehicle is communicated, and the road is continuously updated and improved. The damaged part of the road must be repaired in time for road maintenance, otherwise, the investment of repair engineering is increased, the service life of the road is shortened, and the road users are lost.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
the existing highway maintenance method is only maintained when the road surface is actually damaged and can be identified by personnel, so that the maintenance time is difficult to predict and control, the period is long, the process is complicated, the accuracy is poor, the optimal maintenance time of the road surface is difficult to determine, the operability is poor, and the maintenance benefit is poor after the maintenance time of the road surface is prolonged.
Disclosure of Invention
The embodiment of the invention provides a method and a device for judging highway maintenance, which solve the technical problems that the highway maintenance method in the prior art has longer period, complicated process and poor accuracy and is difficult to determine and judge the pavement maintenance opportunity, and achieve the technical effects of timely controlling and predicting the maintenance opportunity, finding and processing the problem as soon as possible, reducing the occurrence rate of accidents, increasing the overall safety of the highway and having strong practicability.
In view of the above problems, the embodiments of the present application are proposed to provide a method and an apparatus for determining highway maintenance.
In a first aspect, the present invention provides a method for determining highway maintenance, including: obtaining a first passing speed of a first road section; judging whether the first passing speed is lower than a first preset threshold value or not; when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section; identifying a first photo according to the first image information; intelligently identifying the first photo to obtain first road condition information; judging whether the first road condition information meets a second preset threshold value or not; when the second preset threshold is met, obtaining first position information according to the first photo; and checking the first path according to a preset strategy according to the first position information.
Preferably, the method further comprises: obtaining a first maintenance year of the first road section; obtaining a current year of use of the first road segment; obtaining a first year difference value according to the first maintenance year and the current service year; judging whether the first year difference value meets a third preset threshold value or not; and when the third preset threshold is met, obtaining a first instruction, wherein the first instruction is used for adjusting the second preset threshold and the preset strategy.
Preferably, the method further comprises: obtaining second road condition information of a second road segment, wherein the second road segment and the first road segment have a first relevance degree; judging whether the second road condition information meets a first preset condition or not; and when the first preset condition is met, obtaining the second instruction, wherein the second instruction is used for adjusting the checking frequency of the first road section.
Preferably, the method further comprises: acquiring first traffic accident information of the first road section within first preset time; obtaining second traffic accident information of the first road section in second preset time; acquiring a first traffic accident difference value according to the first traffic accident information and the second traffic accident information; judging whether the first traffic accident difference value meets a fourth preset threshold value or not; and when the fourth preset threshold is met, obtaining a third instruction, wherein the third instruction is used for checking the first segment.
Preferably, the method further comprises: obtaining the historical maintenance cost of the first road section; obtaining a maintenance cost predicted value in a third preset time according to the historical maintenance cost; acquiring the actual maintenance cost of the first road section within the third preset time; judging whether the actual maintenance cost exceeds the maintenance cost predicted value; and when the road section is overtaken, obtaining a fourth instruction, wherein the fourth instruction is used for adjusting the checking frequency of the first road section.
Preferably, the method further comprises: dividing the first road segment into a plurality of pieces of road segment information; respectively acquiring traffic flow information of each road section; judging whether the traffic flow information of each road section meets a fifth preset threshold value or not; and when the fifth preset threshold is met, obtaining a fifth instruction, wherein the fifth instruction is used for adjusting the inspection frequency of the road section.
In a second aspect, the present invention provides a device for determining maintenance of a road, the device comprising:
a first obtaining unit configured to obtain a first passing speed of a first road segment;
the first judging unit is used for judging whether the first passing speed is lower than a first preset threshold value or not;
a second obtaining unit, configured to obtain first image information of a vehicle-mounted camera passing through the first road section when the first obtaining unit is lower than the first preset threshold;
the first recognition unit is used for recognizing a first photo according to the first image information;
the third obtaining unit is used for intelligently identifying the first photo and obtaining first road condition information;
a second judging unit, configured to judge whether the first road condition information satisfies a second preset threshold;
a fourth obtaining unit, configured to obtain first position information according to the first photo when the second preset threshold is met;
and the first execution unit is used for checking the first path according to the first position information and a preset strategy.
Preferably, the apparatus further comprises:
a fifth obtaining unit, configured to obtain a first maintenance year of the first road segment;
a sixth obtaining unit configured to obtain a current year of use of the first link;
a seventh obtaining unit configured to obtain a first year difference value according to the first maintenance year and the current year of use;
a third judging unit configured to judge whether the first year difference value satisfies a third preset threshold;
an eighth obtaining unit, configured to obtain a first instruction when the third preset threshold is met, where the first instruction is used to adjust the second preset threshold and the preset policy.
Preferably, the apparatus further comprises:
a ninth obtaining unit, configured to obtain second road condition information of a second road segment, where the second road segment has a first degree of association with the first road segment;
a fourth judging unit, configured to judge whether the second road condition information satisfies a first preset condition;
a tenth obtaining unit, configured to obtain the second instruction when the first preset condition is met, where the second instruction is used to adjust an inspection frequency of the first road segment.
Preferably, the apparatus further comprises:
an eleventh obtaining unit, configured to obtain first traffic accident information of the first road segment within a first preset time;
a twelfth obtaining unit, configured to obtain second traffic accident information of the first road segment within a second preset time;
a thirteenth obtaining unit configured to obtain a first traffic accident difference value according to the first traffic accident information and the second traffic accident information;
a fifth judging unit, configured to judge whether the first traffic accident difference value satisfies a fourth preset threshold;
a fourteenth obtaining unit, configured to obtain a third instruction when the fourth preset threshold is met, where the third instruction is used to inspect the first segment.
Preferably, the apparatus further comprises:
a fifteenth obtaining unit, configured to obtain historical maintenance costs of the first road segment;
a sixteenth obtaining unit, configured to obtain a maintenance cost predicted value within a third preset time according to the historical maintenance cost;
a seventeenth obtaining unit, configured to obtain an actual maintenance cost of the first segment within the third preset time;
a sixth judging unit, configured to judge whether the actual maintenance cost exceeds the maintenance cost prediction value;
an eighteenth obtaining unit configured to obtain a fourth instruction when the passing, wherein the fourth instruction is configured to adjust a frequency of inspection of the first link.
Preferably, the apparatus further comprises:
a first division unit for dividing the first link into a plurality of pieces of link information;
a nineteenth obtaining unit, configured to obtain traffic flow information of each road segment respectively;
a seventh judging unit, configured to judge whether traffic flow information of each road section satisfies a fifth preset threshold;
a twentieth obtaining unit configured to obtain a fifth instruction when the fifth preset threshold is satisfied, wherein the fifth instruction is used to adjust a ping frequency of the link.
In a third aspect, the present invention provides a device for determining highway maintenance, including a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor implements the following steps when executing the program: obtaining a first passing speed of a first road section; judging whether the first passing speed is lower than a first preset threshold value or not; when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section; identifying a first photo according to the first image information; intelligently identifying the first photo to obtain first road condition information; judging whether the first road condition information meets a second preset threshold value or not; when the second preset threshold is met, obtaining first position information according to the first photo; and checking the first path according to a preset strategy according to the first position information.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of: obtaining a first passing speed of a first road section; judging whether the first passing speed is lower than a first preset threshold value or not; when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section; identifying a first photo according to the first image information; intelligently identifying the first photo to obtain first road condition information; judging whether the first road condition information meets a second preset threshold value or not; when the second preset threshold is met, obtaining first position information according to the first photo; and checking the first path according to a preset strategy according to the first position information.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the method and the device for judging the highway maintenance, provided by the embodiment of the invention, the first passing speed of the first road section is obtained; judging whether the first passing speed is lower than a first preset threshold value or not; when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section; identifying a first photo according to the first image information; intelligently identifying the first photo to obtain first road condition information; judging whether the first road condition information meets a second preset threshold value or not; when the second preset threshold is met, obtaining first position information according to the first photo; according to the first position information, the first road section is checked according to a preset strategy, so that the technical problems that the highway maintenance method in the prior art is long in period, complicated in process, poor in accuracy and difficult to determine and judge the pavement maintenance opportunity are solved, the maintenance opportunity can be timely controlled and predicted, the problems can be found and processed as soon as possible, the accident rate is reduced, the overall safety of the highway is improved, and the highway maintenance method is high in practicability.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Fig. 1 is a schematic flow chart of a method for determining highway maintenance according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a road maintenance determination device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another road maintenance judgment device in the embodiment of the invention.
Description of reference numerals: the device comprises a first obtaining unit 11, a first judging unit 12, second obtaining units 1 and 3, a first identifying unit 14, a third obtaining unit 15, a second judging unit 16, a fourth obtaining unit 17, a first executing unit 18, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304 and a bus interface 306.
Detailed Description
The embodiment of the invention provides a method and a device for judging highway maintenance, which are used for solving the technical problems that the highway maintenance method in the prior art has longer period, complicated process and poorer accuracy and is difficult to determine and judge the pavement maintenance time,
the technical scheme provided by the invention has the following general idea:
obtaining a first passing speed of a first road section; judging whether the first passing speed is lower than a first preset threshold value or not; when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section; identifying a first photo according to the first image information; intelligently identifying the first photo to obtain first road condition information; judging whether the first road condition information meets a second preset threshold value or not; when the second preset threshold is met, obtaining first position information according to the first photo; according to the first position information, the first road section is inspected according to a preset strategy, so that the maintenance opportunity can be timely controlled and predicted, problems can be found and handled as soon as possible, the accident rate is reduced, the overall safety of the road is improved, and the technical effect of strong practicability is achieved.
The technical solutions of the present invention are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present invention are described in detail in the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Example one
Fig. 1 is a schematic flow chart of a method for determining highway maintenance according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for determining highway maintenance, where the method includes:
step 110: a first passing speed of the first road section is obtained.
Specifically, the first passing speed is a corresponding running speed of the vehicle when the vehicle enters the first road section. That is, the first passing speed at this time is the actual speed at which the vehicle travels on the first road segment. Generally, the driving speed of the vehicle is different according to the geographic position of the road section, and the driving speed of the vehicle in the urban area is lower than the driving speed of the vehicle on the expressway. For example, when the first road segment is located in an urban area, the traffic speed of the vehicle of the road segment can be identified as 30 km/h, and when the first road segment is located on a highway, the traffic speed of the vehicle of the road segment can be identified as 90 km/h.
Step 120: and judging whether the first passing speed is lower than a first preset threshold value or not.
Specifically, the first preset threshold is an expected speed value of the running speed set for the first road segment, wherein the first preset threshold may be defined according to specific situations such as the traffic flow, the road traffic capacity and the like of the actual road segment. That is, the first preset threshold defined may be different according to the geographic location of the road segment, for example, the first preset threshold defined by the road in the urban area is far lower than the first preset threshold defined on the expressway. For example, when the first passing speed is set as the lowest speed limit of the first road segment, it is indicated that the vehicle needs to ensure that the running speed is greater than the lowest speed limit when the vehicle enters the first road segment, for example, the running speed of a lane should be marked on an expressway, the highest vehicle speed must not exceed 120 kilometers per hour, and the lowest vehicle speed must not be lower than 60 kilometers per hour. For example, the first preset threshold in the urban area is set to 40 km/h, and the first preset threshold on the expressway is set to 110 km/h.
Step 130: and when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section.
Specifically, when the passing speed of the first road section is lower than the first preset threshold, that is, the traveling speed of the vehicle in the first road section is lower than the expected speed set value, at this time, there may be a phenomenon that the road condition of the first road section is abnormal, and corresponding operations such as maintenance are required, and then image information of the vehicle-mounted camera passing through the first road section needs to be further obtained. The first image information is information of the inside and outside environment of the vehicle monitored by the vehicle-mounted camera in real time in the driving process of the vehicle, safety guarantee can be provided for driving of the vehicle through the vehicle-mounted camera, and meanwhile, drivers and passengers can conveniently check the inside condition of the vehicle. For example, when the traffic speed of a certain road section is 60 km/h, the set expected speed is 80 km/h, the traffic speed at this time is lower than the expected speed, which may be that the road condition of the road section is not good, for example, the road surface has pits, the anti-skid performance is reduced, the structural strength of the road surface is reduced, and the like, so that the actual condition of the road section needs to be further collected, and then, the road condition can be further specifically analyzed and judged by obtaining the image of the vehicle-mounted camera passing through the road condition.
Step 140: and identifying a first photo according to the first image information.
Step 150: and intelligently identifying the first photo to obtain first road condition information.
Specifically, after the image information of the vehicle-mounted camera is obtained, a photo can be identified from the first image information, wherein the first photo is the photo identified from the first image information and containing the first segment live information. The first picture can then be subjected to artificial intelligence recognition by computer technology, which is a branch of computer science that attempts to understand the essence of intelligence and produces a new intelligent machine that can react in a manner similar to human intelligence, including robotics, speech recognition, image recognition, natural language processing, expert systems, and the like. Therefore, the artificial intelligence recognition technology carries out recognition according to the corresponding road surface damage characteristics, and the road surface condition of the first road section can be obtained. Furthermore, preset road surface condition information can be integrated to form a data information base in the embodiment, so that the artificial intelligence identification technology can quickly and accurately identify the road surface condition information. The first road condition information is condition information of the roadbed, the road surface, the structure, the auxiliary facilities and the like of the first road section, and includes conditions of the road surface quality, road section flatness, roughness, rutting depth, skid resistance and the like of the first road section, for example.
Step 160: and judging whether the first road condition information meets a second preset threshold value.
Specifically, after the road condition information of the first road segment is identified, it is determined whether the road surface damage information reaches a second preset threshold, and when the road surface damage information reaches the second preset threshold, it indicates that a certain problem exists in the road condition information of the first road segment. For example, when the flatness of the front of the road surface identified in the vehicle-mounted camera image of a certain vehicle is abnormal, that is, the road section at this time has an uneven phenomenon, then the flatness of the road surface is analyzed to find that a pothole appears in front of the vehicle, if the detected depth of the pothole is 40 cm and the second preset threshold is set to 10 cm, it is obvious that the depth of the pothole meets the requirement of the second preset threshold, which indicates that the road section has a problem and needs to be maintained and repaired.
Step 170: and when the second preset threshold value is met, obtaining first position information according to the first photo.
Step 180: and checking the first path according to a preset strategy according to the first position information.
Specifically, after a certain road condition problem on the first road reaches a second preset threshold, it is described that the first road section may have a problem, and then, the first position information may be recognized from the first picture. That is, by extracting and processing the feature information of the surrounding environment in the first picture, the specific location information of the first picture, that is, the specific location of the road section where the problem occurs, can be obtained. Further, after the corresponding location information is obtained, the portion of the first segment where the problem occurs may be inspected according to a preset policy. The preset strategy is a preset checking mode, for example, a vehicle can be dispatched to a site to check and confirm the severity of a specific problem, so that corresponding remedial measures can be taken as soon as possible according to actual conditions, safety accidents of the vehicle when the vehicle runs to a problem road section are avoided, personal safety of a driver is further guaranteed, and through comprehensive overall analysis of road conditions, people can find and process problems as soon as possible, and the occurrence rate of accidents is reduced. For example, as described in step 160, when a pothole appears on the road surface, the position of the shot picture is a certain intersection after the information in the picture is intelligently analyzed, and then the troubleshooting vehicle can be assigned to go to the corresponding intersection for on-site viewing.
Therefore, by the method for judging the highway maintenance in the embodiment, the maintenance time can be controlled and predicted in time, the problems can be found and processed as soon as possible, the accident rate is reduced, the overall safety of the highway is improved, and the practicability is high, so that the technical problems that the highway maintenance method in the prior art is long in period, complicated in process, poor in accuracy and difficult to determine the optimal maintenance time of the road surface are solved.
Further, the method for determining highway maintenance in this embodiment may also be implemented by combining an artificial intelligence technology, wherein the english abbreviation of artificial intelligence is ai (artificial intelligence), which is a new technical science for researching and developing theories, methods, techniques and application systems for simulating, extending and expanding human intelligence. The method comprises the following specific steps: obtaining a picture of a first road section; inputting the picture of the first road segment into a model, wherein the model is obtained by machine learning training by using a plurality of groups of data, and each group of data in the plurality of groups of data comprises: the first road section photo, first identification information used for identifying a first passing speed in the first road section photo, and second identification information used for identifying first image information of a vehicle-mounted camera passing through the first road section when the first passing speed is lower than a first preset threshold value in the first road section photo; acquiring output information of the model, wherein the output information comprises first road condition information of the first road section in the picture of the first road section, the first road condition information is acquired after the model intelligently identifies the first picture, and the first picture is acquired after the model intelligently identifies according to the first image information; and under the condition that the first road condition information meets a second preset threshold value, checking the first road section according to a preset strategy according to first position information, wherein the first position information is obtained according to the first picture.
Further, the training model in this embodiment is obtained by using machine learning training with multiple sets of data, where machine learning is a way to implement artificial intelligence, and has a certain similarity with data mining, and is also a multi-domain cross subject, and relates to multiple subjects such as probability theory, statistics, approximation theory, convex analysis, and computation complexity theory. Compared with the method for finding mutual characteristics among big data by data mining, the machine learning focuses on the design of an algorithm, so that a computer can automatically learn rules from the data and predict unknown data by using the rules.
Further, obtaining a first maintenance year of the first road section; obtaining a current year of use of the first road segment; obtaining a first year difference value according to the first maintenance year and the current service year; judging whether the first year difference value meets a third preset threshold value or not; and when the third preset threshold is met, obtaining a first instruction, wherein the first instruction is used for adjusting the second preset threshold and the preset strategy.
Specifically, the first maintenance year is an interval time between two times of maintenance on the first road surface, where the interval time needs to be set according to the damage degree of the first road section and the transportation requirement, and this embodiment is not particularly limited. Further, the current year of use of the first road section, that is, the time of use of the first road section since the last maintenance may be acquired. Therefore, the year difference between the first maintenance year and the current service year can be calculated, whether the first year difference meets a third preset threshold or not is judged, when the third preset threshold is met, the fact that the current service time of the first road section is close to the maintenance year is indicated, a first instruction needs to be further obtained, the second preset threshold is adjusted according to the instruction of the first instruction, and meanwhile a preset strategy needs to be adjusted. In other words, when the current service time of the first road section is close to the maintenance life, the second preset threshold value needs to be reduced, and the frequency of sending the vehicle to the inspection road section is increased, so that the maintenance opportunity of the road surface can be controlled and matched, possible problems of the road surface can be prevented in advance and timely processed, the purpose of reducing the incidence rate of accidents is achieved, and the problem that the maintenance benefit is worse when the road surface maintenance time is later is avoided. For example, when the next maintenance time of a certain road section is 2020, the last maintenance time of the road section is 2015, the current service year is 2019, if the maintenance year of the road section is specified to be once in five years, and the current service time is four years, the year difference between the two is obtained as one year, and if the set third threshold is 1.5 years, it indicates that the current service year is close to the maintenance year, and it indicates that the probability of the road section having a problem is higher, so the second preset threshold needs to be reduced, and the inspection frequency of the road section needs to be increased, so as to achieve the purpose of reducing the occurrence rate of accidents, prevent the possible problem on the road surface early, and process the problem in time.
Further, the method further comprises: obtaining second road condition information of a second road segment, wherein the second road segment and the first road segment have a first relevance degree; judging whether the second road condition information meets a first preset condition or not; and when the first preset condition is met, obtaining the second instruction, wherein the second instruction is used for adjusting the checking frequency of the first road section.
Specifically, the second road condition information is the condition information of the road bed, the road surface, the structure, the attached facilities, and the like of the second link, and includes, for example, the conditions of the road surface quality, the link flatness, the roughness, the rutting depth, the skid resistance, and the like of the second link. The second road segment and the first road segment have a certain degree of association therebetween, and the first degree of association represents that two road segments have a certain degree of correlation in geographic position, for example, the second road segment and the first road segment are two adjacent road segments. Therefore, after the second road condition information is judged to meet the first preset condition, the second instruction can be obtained, the checking frequency of the first road section is improved under the instruction of the second instruction, or the precision and the accuracy of artificial intelligence identification can be correspondingly improved, wherein the first preset condition is the maintenance condition set for the road surface damage condition. Therefore, the aim of predicting and controlling the maintenance opportunity is achieved, the problem that the maintenance benefit is worse after the pavement maintenance time is pushed is avoided, and the problem that the maintenance is only carried out when the highway pavement is actually damaged and can be identified by personnel in the prior art is solved. For example, when the second road segment is a road segment adjacent to the first road segment, after the second road condition information of the second road segment is identified, it is found that a plurality of cracks appear on the second road segment, and the severity of the cracks meets the first preset condition, which indicates that there is a possibility that the first road segment adjacent to the second road segment has a problem, and at this time, the checking frequency of the first road segment needs to be increased, or the accuracy and precision of artificial intelligent identification need to be improved.
Furthermore, in this embodiment, the number of damaged problems in the first road section can be obtained from the first road condition information, and then it is determined whether the number of damaged problems meets the threshold requirement of the number of problems, and if the number of damaged problems meets the threshold requirement of the number of problems, the checking frequency of the first road section is correspondingly increased, or the accuracy and precision of artificial intelligence recognition are improved.
Further, the method further comprises: acquiring first traffic accident information of the first road section within first preset time; obtaining second traffic accident information of the first road section in second preset time; acquiring a first traffic accident difference value according to the first traffic accident information and the second traffic accident information; judging whether the first traffic accident difference value meets a fourth preset threshold value or not; and when the fourth preset threshold is met, obtaining a third instruction, wherein the third instruction is used for checking the first segment.
Specifically, the first traffic accident information is related to an event that a vehicle on the first road has personal casualties or property loss due to mistakes or accidents. The traffic accident is caused not only by the violation of the road traffic safety regulation by unspecified persons, but also by irresistible natural disasters such as earthquake, typhoon, mountain torrents, lightning stroke and the like. Similarly, the second traffic accident information is the related information of the event that the vehicle on the first road has personal injury or property loss due to mistake or accident. In this embodiment, the collection time of the first traffic accident information is preferably set as a first preset time, and the collection time of the second traffic accident information is preferably set as a second preset time. The first preset time and the second preset time can be set and adjusted according to actual conditions, and the embodiment is not particularly limited. Further, according to the first traffic accident information and the second traffic accident information, a first traffic accident difference value can be obtained, whether the first traffic accident difference value meets a fourth preset threshold value or not is judged, if yes, the situation that the road condition of the first road section is possibly problematic is shown, the traffic accidents are frequently caused, a third instruction is obtained, and the vehicle is dispatched to the first road section under the instruction of the third instruction to inspect the first road section, so that early discovery and processing of the road condition information are further achieved, and the safety of the road is improved. For example, when the number of accidents in three months of 5-8 months in 2018 of a certain road section is 10, the number of accidents in three months of 8-11 months in 2018 of 22, and if the set fourth preset threshold is 5, the difference value of the number of accidents at this time meets the requirement of the fourth preset threshold, which indicates that the road condition of the road section may have a problem and needs to be sent to check the road condition before.
Further, the first traffic accident information is used as first input information;
taking the second traffic accident information as second input information;
inputting the first input information and the second input information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: the first input information, the second input information, and identification information to identify a first result;
obtaining output information of the training model, wherein the output information includes the first result, and the first result is a result that a difference value between the first traffic accident information and the second traffic accident information satisfies a fourth preset threshold.
Specifically, the training model is a Neural network model, i.e., a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely connecting a large number of simple processing units (called neurons), which reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. And inputting the first classroom information into a neural network model through training of a large amount of training data, and outputting the coverage condition information of the knowledge points of the first classroom.
Furthermore, the training process is essentially a supervised learning process, each group of supervised data comprises first traffic accident information, second traffic accident information and identification information for identifying a first result, the first traffic accident information and the second traffic accident information are input into the neural network model, the neural network model is continuously self-corrected and adjusted according to the identification information for identifying the first result, and the group of supervised learning is ended until the obtained output result is consistent with the identification information, and the next group of data supervised learning is carried out; and when the output information of the neural network model reaches a preset accuracy rate or a convergence state, finishing the supervised learning process. Through supervised learning of the neural network model, the neural network model can process the input information more accurately, and the result that the difference value between the output first traffic accident information and the output second traffic accident information meets a fourth preset threshold value is more accurate.
Further, the embodiment of the present application further includes:
obtaining first training data, second training data and Nth training data which are input into the first training model, wherein N is a natural number larger than 1;
generating first identification codes according to the first training data, wherein the first identification codes correspond to the first training data one by one;
generating a second identification code according to the second training data and the first identification code, and generating an Nth identification code according to the Nth training data and the (N-1) th identification code by analogy;
all training data and identification codes are copied and stored on M electronic devices, wherein M is a natural number greater than 1.
In particular, the blockchain technique, also referred to as a distributed ledger technique, is an emerging technique in which several computing devices participate in "accounting" together, and maintain a complete distributed database together. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices. Generating a first identification code according to the first training data, wherein the first identification code corresponds to the first training data; generating a second identification code according to the second training data and the first identification code, wherein the second identification code corresponds to the second training data; and by analogy, generating an Nth identification code according to the Nth training data and the (N-1) th identification code, wherein N is a natural number greater than 1, and each group in the training data comprises first classroom information and identification information for identifying the knowledge point coverage condition meeting the first classroom information. Respectively copying and storing all training data and identification codes on M devices, wherein the first training data and the first identification code are stored on one device as a first block, the second training data and the second identification code are stored as a second block on a device, the Nth training data and the Nth identification code are stored as an Nth block on a piece of equipment, when the training data needs to be called, after each subsequent node receives the data stored by the previous node, the training data is not easy to lose and damage by checking and storing through a consensus mechanism and connecting each storage unit in series through a hash function, the training data is encrypted through the logic of the block chain, so that the safety of the training data is ensured, and then the accuracy of the neural network model obtained by training the training data is ensured, and the technical effect of the safety of the training data is ensured.
Further, the method further comprises: obtaining the historical maintenance cost of the first road section; obtaining a maintenance cost predicted value in a third preset time according to the historical maintenance cost; acquiring the actual maintenance cost of the first road section within the third preset time; judging whether the actual maintenance cost exceeds the maintenance cost predicted value; and when the road section is overtaken, obtaining a fourth instruction, wherein the fourth instruction is used for adjusting the checking frequency of the first road section.
Specifically, the historical maintenance cost is a set of total costs spent in the maintenance process of the first road section within a certain time, and then data analysis and fitting are performed on the historical maintenance cost, so that a maintenance cost prediction value of the first road section within a third preset time can be predicted. And then, the actual maintenance cost of the first road section within the third preset time can be obtained, then whether the actual maintenance cost exceeds the maintenance cost predicted value or not is judged, if yes, the actual loss index of the first road section is larger than the predicted value, a fourth instruction needs to be obtained, and the checking frequency of the first road section is increased under the instruction of the fourth instruction. For example, after a certain road section is built in 2000 to 2018, the historical maintenance cost is six million yuan, the maintenance cost of the road section in 2019 is predicted to be 80 million yuan by analyzing the historical maintenance data of the road section and combining the information of the actual condition of the road surface and the like, but the actual maintenance cost of the road section in 2019 is 150 million yuan, if the fourth preset threshold is set to 50 ten thousand yuan, the actual maintenance cost at the time is greater than the predicted maintenance cost, which means that the actual loss speed of the road section is much greater than the predicted loss speed, so that the inspection frequency of the road section needs to be further increased to avoid the problems of safety accidents and the like in the actual use process and influence on the personal safety of people.
Further, the method further comprises: dividing the first road segment into a plurality of pieces of road segment information; respectively acquiring traffic flow information of each road section; judging whether the traffic flow information of each road section meets a fifth preset threshold value or not; and when the fifth preset threshold is met, obtaining a fifth instruction, wherein the fifth instruction is used for adjusting the inspection frequency of the road section.
Specifically, the first route segment may be divided into a plurality of small route segments according to a certain division standard, for example, the first route segment may be divided according to toll stations on an expressway, the space between two adjacent toll stations may be used as one small route segment, the first route segment may be divided according to a distance, the first route segment may be divided every three kilometers, five kilometers, and the like, the second route segment may be divided according to the position of a gas station, and the specific division standard may be adjusted according to actual needs, and this embodiment is not particularly limited. After the first road section is divided, the traffic flow information of each small road section in the same time can be correspondingly acquired, then whether the corresponding traffic flow information meets a fifth preset threshold value or not is judged, when the traffic flow meets the fifth preset threshold value, the fact that the traffic flow of the corresponding road section is large in the same time is shown, the bearing capacity of the corresponding road section is large, the road surface loss is large, a fifth instruction needs to be obtained at the moment, the inspection frequency of the road section meeting the fifth preset threshold value is improved under the instruction of the fifth instruction, the technical problem that in the prior art, maintenance is only carried out when the road surface is actually damaged and can be identified by personnel is solved, maintenance opportunities can be timely controlled and predicted, problems can be discovered and handled as soon as possible, and the occurrence rate of accidents is reduced. For example, a city is divided into a plurality of road sections according to toll stations at a high speed, when the city is on duty at an early peak, the traffic flow information of each road section is collected, and it is found that the traffic flow of some road sections is relatively large, that is, the road sections are often congested due to more vehicles entering and exiting the toll stations, for example, the traffic flow of a small road section is 300 vehicles per minute, and if the fifth preset threshold is 200 vehicles per minute, the traffic flow of the road section is greater than the requirement of the fifth preset threshold, so that the bearing capacity of the road surface of the road section is relatively large, and the inspection frequency of the road section needs to be correspondingly increased, so as to achieve the purpose of preventing the safety problem of the road in advance.
Example two
Based on the same inventive concept as the method for judging highway maintenance in the foregoing embodiment, the present invention further provides a method and an apparatus for judging highway maintenance, as shown in fig. 2, the apparatus includes:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining a first passing speed of a first road section;
a first judging unit 12, where the first judging unit 12 is configured to judge whether the first passing speed is lower than a first preset threshold;
a second obtaining unit 13, where the second obtaining unit 13 is configured to obtain first image information of a vehicle-mounted camera passing through the first road segment when the first obtaining unit 13 is lower than the first preset threshold;
a first recognition unit 14, wherein the first recognition unit 14 is used for recognizing a first photo according to the first image information;
a third obtaining unit 15, where the third obtaining unit 15 is configured to perform intelligent identification on the first photo to obtain first road condition information;
a second judging unit 16, where the second judging unit 16 is configured to judge whether the first road condition information satisfies a second preset threshold;
a fourth obtaining unit 17, where the fourth obtaining unit 17 is configured to obtain first position information according to the first photo when the second preset threshold is met;
a first executing unit 18, where the first executing unit 18 is configured to inspect the first segment according to a preset policy according to the first location information.
Further, the apparatus further comprises:
a fifth obtaining unit, configured to obtain a first maintenance year of the first road segment;
a sixth obtaining unit configured to obtain a current year of use of the first link;
a seventh obtaining unit configured to obtain a first year difference value according to the first maintenance year and the current year of use;
a third judging unit configured to judge whether the first year difference value satisfies a third preset threshold;
an eighth obtaining unit, configured to obtain a first instruction when the third preset threshold is met, where the first instruction is used to adjust the second preset threshold and the preset policy.
Further, the apparatus further comprises:
a ninth obtaining unit, configured to obtain second road condition information of a second road segment, where the second road segment has a first degree of association with the first road segment;
a fourth judging unit, configured to judge whether the second road condition information satisfies a first preset condition;
a tenth obtaining unit, configured to obtain the second instruction when the first preset condition is met, where the second instruction is used to adjust an inspection frequency of the first road segment.
Further, the apparatus further comprises:
an eleventh obtaining unit, configured to obtain first traffic accident information of the first road segment within a first preset time;
a twelfth obtaining unit, configured to obtain second traffic accident information of the first road segment within a second preset time;
a thirteenth obtaining unit configured to obtain a first traffic accident difference value according to the first traffic accident information and the second traffic accident information;
a fifth judging unit, configured to judge whether the first traffic accident difference value satisfies a fourth preset threshold;
a fourteenth obtaining unit, configured to obtain a third instruction when the fourth preset threshold is met, where the third instruction is used to inspect the first segment.
Further, the apparatus further comprises:
a fifteenth obtaining unit, configured to obtain historical maintenance costs of the first road segment;
a sixteenth obtaining unit, configured to obtain a maintenance cost predicted value within a third preset time according to the historical maintenance cost;
a seventeenth obtaining unit, configured to obtain an actual maintenance cost of the first segment within the third preset time;
a sixth judging unit, configured to judge whether the actual maintenance cost exceeds the maintenance cost prediction value;
an eighteenth obtaining unit configured to obtain a fourth instruction when the passing, wherein the fourth instruction is configured to adjust a frequency of inspection of the first link.
Further, the apparatus further comprises:
a first division unit for dividing the first link into a plurality of pieces of link information;
a nineteenth obtaining unit, configured to obtain traffic flow information of each road segment respectively;
a seventh judging unit, configured to judge whether traffic flow information of each road section satisfies a fifth preset threshold;
a twentieth obtaining unit configured to obtain a fifth instruction when the fifth preset threshold is satisfied, wherein the fifth instruction is used to adjust a ping frequency of the link.
Various modifications and specific examples of the method for determining road maintenance in the first embodiment of fig. 1 are also applicable to the device for determining road maintenance in this embodiment, and the implementation of the method for determining road maintenance in this embodiment will be apparent to those skilled in the art from the foregoing detailed description of the method for determining road maintenance, and therefore, for the sake of brevity of the description, detailed descriptions thereof will not be provided herein.
EXAMPLE III
Based on the same inventive concept as the method for judging highway maintenance in the foregoing embodiment, the present invention also provides a device for judging highway maintenance, having a computer program stored thereon, which when executed by a processor, implements the steps of any one of the methods for judging highway maintenance described above.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
Example four
Based on the same inventive concept as the method for judging maintenance of a road in the foregoing embodiment, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of: obtaining a first passing speed of a first road section; judging whether the first passing speed is lower than a first preset threshold value or not; when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section; identifying a first photo according to the first image information; intelligently identifying the first photo to obtain first road condition information; judging whether the first road condition information meets a second preset threshold value or not; when the second preset threshold is met, obtaining first position information according to the first photo; and checking the first path according to a preset strategy according to the first position information.
In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the method and the device for judging the highway maintenance, provided by the embodiment of the invention, the first passing speed of the first road section is obtained; judging whether the first passing speed is lower than a first preset threshold value or not; when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section; identifying a first photo according to the first image information; intelligently identifying the first photo to obtain first road condition information; judging whether the first road condition information meets a second preset threshold value or not; when the second preset threshold is met, obtaining first position information according to the first photo; according to the first position information, the first road section is checked according to a preset strategy, so that the technical problems that the highway maintenance method in the prior art is long in period, complicated in process, poor in accuracy and difficult to determine and judge the pavement maintenance opportunity are solved, the maintenance opportunity can be timely controlled and predicted, the problems can be found and processed as soon as possible, the accident rate is reduced, the overall safety of the highway is improved, and the highway maintenance method is high in practicability.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A method for judging highway maintenance, comprising:
obtaining a first passing speed of a first road section;
judging whether the first passing speed is lower than a first preset threshold value or not;
when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section;
identifying a first photo according to the first image information;
intelligently identifying the first photo to obtain first road condition information;
judging whether the first road condition information meets a second preset threshold value or not;
when the second preset threshold is met, obtaining first position information according to the first photo;
and checking the first path according to a preset strategy according to the first position information.
2. The method of claim 1, wherein the method further comprises:
obtaining a first maintenance year of the first road section;
obtaining a current year of use of the first road segment;
obtaining a first year difference value according to the first maintenance year and the current service year;
judging whether the first year difference value meets a third preset threshold value or not;
and when the third preset threshold is met, obtaining a first instruction, wherein the first instruction is used for adjusting the second preset threshold and the preset strategy.
3. The method of claim 1, wherein the method further comprises:
obtaining second road condition information of a second road segment, wherein the second road segment and the first road segment have a first relevance degree;
judging whether the second road condition information meets a first preset condition or not;
and when the first preset condition is met, obtaining the second instruction, wherein the second instruction is used for adjusting the checking frequency of the first road section.
4. The method of claim 1, wherein the method further comprises:
acquiring first traffic accident information of the first road section within first preset time;
obtaining second traffic accident information of the first road section in second preset time;
acquiring a first traffic accident difference value according to the first traffic accident information and the second traffic accident information;
judging whether the first traffic accident difference value meets a fourth preset threshold value or not;
and when the fourth preset threshold is met, obtaining a third instruction, wherein the third instruction is used for checking the first segment.
5. The method of claim 1, wherein the method further comprises:
obtaining the historical maintenance cost of the first road section;
obtaining a maintenance cost predicted value in a third preset time according to the historical maintenance cost;
acquiring the actual maintenance cost of the first road section within the third preset time;
judging whether the actual maintenance cost exceeds the maintenance cost predicted value;
and when the road section is overtaken, obtaining a fourth instruction, wherein the fourth instruction is used for adjusting the checking frequency of the first road section.
6. The method of claim 1, wherein the method further comprises:
dividing the first road segment into a plurality of pieces of road segment information;
respectively acquiring traffic flow information of each road section;
judging whether the traffic flow information of each road section meets a fifth preset threshold value or not;
and when the fifth preset threshold is met, obtaining a fifth instruction, wherein the fifth instruction is used for adjusting the inspection frequency of the road section.
7. A device for judging maintenance of a road, the device comprising:
a first obtaining unit configured to obtain a first passing speed of a first road segment;
the first judging unit is used for judging whether the first passing speed is lower than a first preset threshold value or not;
a second obtaining unit, configured to obtain first image information of a vehicle-mounted camera passing through the first road section when the first obtaining unit is lower than the first preset threshold;
the first recognition unit is used for recognizing a first photo according to the first image information;
the third obtaining unit is used for intelligently identifying the first photo and obtaining first road condition information;
a second judging unit, configured to judge whether the first road condition information satisfies a second preset threshold;
a fourth obtaining unit, configured to obtain first position information according to the first photo when the second preset threshold is met;
and the first execution unit is used for checking the first path according to the first position information and a preset strategy.
8. A road maintenance judgment device, comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the program to realize the following steps:
obtaining a first passing speed of a first road section;
judging whether the first passing speed is lower than a first preset threshold value or not;
when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section;
identifying a first photo according to the first image information;
intelligently identifying the first photo to obtain first road condition information;
judging whether the first road condition information meets a second preset threshold value or not;
when the second preset threshold is met, obtaining first position information according to the first photo;
and checking the first path according to a preset strategy according to the first position information.
9. A computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, carries out the steps of:
obtaining a first passing speed of a first road section;
judging whether the first passing speed is lower than a first preset threshold value or not;
when the first preset threshold value is lower than the first preset threshold value, obtaining first image information of the vehicle-mounted camera passing through the first road section;
identifying a first photo according to the first image information;
intelligently identifying the first photo to obtain first road condition information;
judging whether the first road condition information meets a second preset threshold value or not;
when the second preset threshold is met, obtaining first position information according to the first photo;
and checking the first path according to a preset strategy according to the first position information.
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