CN117522226A - Road engineering quality control method - Google Patents
Road engineering quality control method Download PDFInfo
- Publication number
- CN117522226A CN117522226A CN202311642778.8A CN202311642778A CN117522226A CN 117522226 A CN117522226 A CN 117522226A CN 202311642778 A CN202311642778 A CN 202311642778A CN 117522226 A CN117522226 A CN 117522226A
- Authority
- CN
- China
- Prior art keywords
- road
- risk
- target
- target area
- construction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003908 quality control method Methods 0.000 title claims abstract description 13
- 238000010276 construction Methods 0.000 claims abstract description 103
- 238000000034 method Methods 0.000 claims abstract description 60
- 230000002596 correlated effect Effects 0.000 claims description 38
- 230000001276 controlling effect Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 11
- 230000008569 process Effects 0.000 abstract description 6
- 230000009286 beneficial effect Effects 0.000 abstract description 5
- 238000004422 calculation algorithm Methods 0.000 abstract description 4
- 238000013515 script Methods 0.000 abstract description 3
- 238000004590 computer program Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000000875 corresponding effect Effects 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003064 k means clustering Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000011022 operating instruction Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The application discloses a control method of road engineering quality, which predicts construction risk and use risk of a road based on information such as a road structure shown by a drawing file of the road, and evaluates the engineering quality of the road with predictability based on a predicted result, wherein the engineering quality can be reflected no matter the quality problem possibly caused by construction or the risk possibly faced in the use process. In addition, the method in the scheme realizes the replacement of manual experience through technical means such as algorithms, scripts and the like, can realize unified standard and same management of road engineering quality control, and is beneficial to reducing manual errors. On one hand, the control on the construction quality and the use risk is realized through the data processing for management and supervision purposes. On the other hand, the obtained risk prediction result provides conditions for further reducing the consumption of supervision and management resources.
Description
Technical Field
The application relates to the technical field of data processing suitable for management, supervision or prediction purposes, in particular to a control method of road engineering quality.
Background
The construction of infrastructure such as roads lays the foundation of national economic development to a certain extent. Road construction generally has the problems of slower construction speed and poor fault tolerance. If the road engineering quality is not reasonably predictive, and corresponding control measures are not taken on the road engineering quality, the progress of road construction is possibly further aggravated, and even in some cases, the road quality is problematic, so that hidden danger exists in the driving safety on the road. In the related art, a manual control method is mostly adopted for controlling the road engineering quality. The propagation range of expert experience is limited, and errors or even mistakes caused by subjective factors of the expert possibly exist, so that the road engineering quality is difficult to quantify, and the road engineering quality is difficult to control.
For example, publication (bulletin) number: CN115222241B, patent title: the engineering quality detection method (main classification number: G06Q 10/0639) can fully mobilize the enthusiasm of constructors to assist each other by using a technical means, and is beneficial to greatly improving the engineering construction speed and the construction quality. On the one hand, the data processing technology capable of explaining the purpose of supervision or prediction is quite available in the technical field related to engineering quality; on the other hand, it can be stated that the technology mining in this field has a wide range of expansion prospects.
Disclosure of Invention
The embodiment of the application provides a road engineering quality control method to at least partially solve the technical problems.
The embodiment of the application adopts the following technical scheme:
in a first aspect, an embodiment of the present application provides a method for controlling road engineering quality, where the method includes:
acquiring a drawing file of a target road;
analyzing the drawing file to determine a first target area and a second target area of the target road; the first target area is an area with construction difficulty greater than a preset difficulty coefficient; the second target area is an accident-prone area caused by road conditions when a vehicle runs along the target road under the condition that the target road is built;
predicting construction risk of the target road based on the first target area; in the case that the first target area is not unique, the construction risk is positively correlated with the concentration degree of the first target area in the target road, positively correlated with the duty ratio of the first target area in the target road, negatively correlated with the driving smoothness degree provided by the other roads communicated with the target road for driving to the first target area and the target road for driving to the first target area along the construction direction of the target road;
predicting a use risk of the target road based on the second target area; the use risk is positively correlated with the frequency of vehicle driving accidents on the road section which is historically the same as the road condition of the second target area;
and if the construction risk is greater than a preset first risk threshold and the use risk is greater than a preset second risk threshold, determining that the road engineering quality of the target road is high in risk.
In an alternative embodiment of the present specification, the method further comprises:
the construction difficulty is inversely related to the lowest preset inclusion degree of equipment adopted in construction of the first target area on a construction environment, inversely related to the predicted construction speed of the first target area, and positively related to the occurrence frequency of natural disasters of the geographic position of the first target area.
In an alternative embodiment of the present specification, the method further comprises:
and determining a part of the drawing file, wherein the inclination angle of the road section is larger than a preset first angle threshold value or the turning angle of the road section is larger than a preset second angle threshold value, as the second target area.
In an alternative embodiment of the present specification, the method further comprises:
the smoothness is positively correlated with the maximum load of vehicles allowed to pass on the road section, positively correlated with the maximum loading height of vehicles allowed to pass on the road section, positively correlated with the number of one-way lanes on the road section, negatively correlated with the maximum turning angle of the road section and negatively correlated with the maximum inclination angle of the road section.
In an alternative embodiment of the present specification, the method further comprises:
and under the condition that the first target area is unique, the construction risk is inversely related to the driving smoothness degree provided by the target road for driving to the first target area in the construction direction along the target road.
In an alternative embodiment of the present specification, the method further comprises:
if the construction risk is not greater than the first risk threshold and the use risk is greater than the second risk threshold, a first alarm is sent; the first alarm is used for prompting adjustment of parameters of the target road.
In an alternative embodiment of the present specification, the method further comprises:
if the construction risk is greater than the first risk threshold and the use risk is not greater than the second risk threshold, a second alarm is sent; the second alarm is used for prompting construction sequence adjustment for the target road; the construction sequence adjustment includes: at least one of construction direction adjustment and road section sequential construction sequence adjustment.
In an alternative embodiment of the present specification, the method further comprises:
if the construction risk is not greater than the first risk threshold and the use risk is not greater than the second risk threshold, judging whether the overlapping degree between the first target area and the second target area is greater than a preset overlapping degree threshold;
if yes, a third alarm is sent out; the third alarm is used for prompting the manual adjustment of the range of one of the first target area and the second target area so as to carry out risk prediction again based on the adjusted result;
if not, determining that the road engineering quality of the target road is not at high risk.
In a second aspect, an embodiment of the present application further provides a control device for road engineering quality, where the device includes:
an acquisition module configured to: acquiring a drawing file of a target road;
the analysis module is configured to: analyzing the drawing file to determine a first target area and a second target area of the target road; the first target area is an area with construction difficulty greater than a preset difficulty coefficient; the second target area is an accident-prone area caused by road conditions when a vehicle runs along the target road under the condition that the target road is built;
a first prediction module configured to: predicting construction risk of the target road based on the first target area; in the case that the first target area is not unique, the construction risk is positively correlated with the concentration degree of the first target area in the target road, positively correlated with the duty ratio of the first target area in the target road, negatively correlated with the driving smoothness degree provided by the other roads communicated with the target road for driving to the first target area and the target road for driving to the first target area along the construction direction of the target road;
a second prediction module configured to: predicting a use risk of the target road based on the second target area; the use risk is positively correlated with the frequency of vehicle driving accidents on the road section which is historically the same as the road condition of the second target area;
a judging module configured to: and if the construction risk is greater than a preset first risk threshold and the use risk is greater than a preset second risk threshold, determining that the road engineering quality of the target road is high in risk.
In a third aspect, embodiments of the present application further provide an electronic device, including:
a processor; and
a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method steps of the first aspect.
In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium storing one or more programs, which when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method steps of the first aspect.
The above-mentioned at least one technical scheme that this application embodiment adopted can reach following beneficial effect:
the present specification provides a method for controlling road engineering quality, which predicts construction risk and use risk of a road based on information such as road structure represented by a drawing file of the road, and evaluates the engineering quality of the road predictively based on the prediction result, so that the quality problem possibly caused by construction and the risk possibly faced during use can be reflected. In addition, the method in the scheme realizes the replacement of manual experience through technical means such as algorithms, scripts and the like, can realize unified standard and same management of road engineering quality control, and is beneficial to reducing manual errors. On one hand, the control on the construction quality and the use risk is realized through the data processing for management and supervision purposes. On the other hand, the obtained risk prediction result provides conditions for further reducing the consumption of supervision and management resources.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a schematic process diagram of a road engineering quality control method according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
The invention will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, some operations associated with the present application have not been shown or described in the specification to avoid obscuring the core portions of the present application, and may not be necessary for a person skilled in the art to describe in detail the relevant operations based on the description herein and the general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning. The terms "coupled" and "connected," as used herein, are intended to encompass both direct and indirect coupling (coupling), unless otherwise indicated.
The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
As shown in fig. 1, the method for controlling road engineering quality in the present specification includes the following steps:
s100: and acquiring a drawing file of the target road.
The drawing file in the present specification is a digital file for recording and displaying information of a target road, such as a CAD file. The drawing file of the target road can be obtained through a file importing mode.
The road in the present specification is formed by sequentially connecting a plurality of road sections for vehicles to travel, and the target road is one of the roads. The target road in the present specification is a road that has not yet been constructed or has not yet been constructed, and there is a possibility that the structure, the construction method, and the like of the road may be adjusted at this stage.
S102: and analyzing the drawing file to determine a first target area and a second target area of the target road.
The area in this specification is made up of one or several consecutive road segments. The road sections can be divided manually or according to rules such as construction date, equal distance and the like.
The first target area in this specification is an area where the construction difficulty is greater than a preset difficulty coefficient. The construction difficulty in this specification is related to natural factors such as construction equipment, construction scheme, and geographical environment. In an alternative embodiment of the present disclosure, the difficulty of construction is inversely related to the lowest preset degree of inclusion of the equipment used in constructing the first target area into the construction environment (the degree of inclusion may be determined according to a preset manual rule, for example, according to a design for a target road, a certain road section should be constructed by using a crane, and the crane needs a certain arm-expanding space, so that the degree of inclusion into the construction environment is low, while another road section uses a mini-excavator, and the mini-excavator does not need a larger operation space, so that the degree of inclusion into the construction environment is high), and is inversely related to the predicted construction speed of the first target area (the construction speed is manually set, for example, the construction speed is adjusted according to a certain day of completion, the construction side may be adjusted by adjusting the number of construction persons, the construction time length, etc.), and is inversely related to the natural disaster occurrence frequency of the geographical location where the first target area is located (the preset value may be obtained by historical observation, for example, the frequency of occurrence of natural disasters in the mountain area is relatively high). In this embodiment, information about the containment degree, the construction speed, the construction direction, the natural disaster frequency, etc. may be manually imported or read from other preset files.
The second target area in the present specification is an accident-prone area due to road conditions when a vehicle is traveling along the target road in the case where the target road is built. For example, a sharp turn may occur at a relatively high frequency. In an optional embodiment of the present disclosure, a portion of the drawing document, where the inclination angle of the road segment is greater than a preset first angle threshold value or the turning angle of the road segment is greater than a preset second angle threshold value, may be determined as the second target area. In another alternative embodiment of the present disclosure, a road segment with a higher accident frequency in history may be determined as a high risk road segment, and an area where a road segment with a similarity between the target road and the high risk road segment is greater than a preset similarity threshold (may be an empirical value) is determined as an accident high incidence area.
The first target area determined by the method in the present specification may not be unique, and the second target area may not be unique. There may or may not be an overlap between the first target region and the second target region.
S104: and predicting the construction risk of the target road based on the first target area.
The construction risk is quantified by the technical means. In the case where the first target area is not unique, the construction risk is positively correlated with the concentration degree of the first target area in the target road (the concentration degree may be obtained by clustering, and a k-means clustering algorithm may be adopted, where k takes a certain specific value, and the specific value may be positively correlated with the total length of the target road, and the number of lanes of the road.
In an alternative embodiment of the present disclosure, the smoothness is positively correlated with the maximum load of vehicles allowed to pass over the road segment, positively correlated with the maximum loading height of vehicles allowed to pass over the road segment, positively correlated with the number of one-way lanes on the road segment, negatively correlated with the maximum turning angle of the road segment, and negatively correlated with the maximum tilting angle of the road segment.
In a further alternative embodiment of the present disclosure, in the case where the first target area is unique, the construction risk is inversely related to a degree of smoothness of the road provided by the target road for traveling to the first target area in the construction direction along the target road.
Since the first target areas are not unique, the construction risk can be predicted for each first target area separately and then summed up as the construction risk of the target road.
S106: and predicting the use risk of the target road based on the second target area.
The use risk in this specification is positively correlated with the frequency of vehicle running accidents on the road section that is historically the same as the road condition of the second target area. The road conditions in this specification may be characterized by a maximum limited speed, the number of lanes, whether or not a bi-directional lane is involved, the road type (e.g., high speed, bridge, tunnel, etc.), the road grade, the cornering angle, etc. And under the condition that a certain element representing the road condition fluctuates within a preset threshold value range, the road conditions are regarded as the same. The threshold range may be empirically determined.
In the related art, the technical means for determining the similarity are applicable to the present specification, as the conditions allow.
Since the second target areas may not be unique, construction risks may be predicted for each second target area separately and then summed as the use risk of the target road.
S108: and if the construction risk is greater than a preset first risk threshold and the use risk is greater than a preset second risk threshold, determining that the road engineering quality of the target road is high in risk.
The road engineering quality in the specification characterizes the problems caused by road design and road use, but does not contain the problems caused by malicious actions such as material stealth and material reduction.
The first risk threshold and the second risk threshold in this specification may be empirical values. There is a high risk of road engineering quality, which can lead to serious losses, both in construction and in use. In this case, starting from the design stage, a road needs to be redesigned, for example, a certain road section of an original straight line is adjusted to a bent road section with a smaller gradient, so as to control the road engineering quality.
The present specification provides a method for controlling road engineering quality, which predicts construction risk and use risk of a road based on information such as road structure represented by a drawing file of the road, and evaluates the engineering quality of the road predictively based on the prediction result, so that the quality problem possibly caused by construction and the risk possibly faced during use can be reflected. In addition, the method in the scheme realizes the replacement of manual experience through technical means such as algorithms, scripts and the like, can realize unified standard and same management of road engineering quality control, and is beneficial to reducing manual errors.
Furthermore, in an optional embodiment of the present disclosure, if the construction risk is not greater than a preset first risk threshold and the usage risk is greater than a preset second risk threshold, a first alarm is issued; the first alert is used to prompt adjustment of a parameter (e.g., inclination angle, maximum turning angle, etc.) for the target road.
If the construction risk is greater than a preset first risk threshold and the use risk is not greater than a preset second risk threshold, a second alarm is sent; the second alarm is used for prompting construction sequence adjustment for the target road; the construction sequence adjustment includes: the construction direction adjustment (for example, for a certain road section, the original construction direction is from the south to the north, and can be adjusted from the north to the south), and the sequential construction order adjustment (for example, the original construction order is road section a, road section b, and road section c, and can be adjusted to at least one of road section b, road section c, and road section a).
If the construction risk is not greater than a preset first risk threshold and the use risk is not greater than a preset second risk threshold, which indicates that there is greater rationality in designing the target road segment, but the risk cannot be completely eliminated, it is determined whether the degree of overlap between the first target region and the second target region is greater than a preset degree of overlap threshold (may be an empirical value). If yes, a third alarm is sent out; the third alarm is used for prompting the manual adjustment of the range of one of the first target area and the second target area, so that the overlapping is reduced, and the risk prediction is carried out again based on the adjusted result. If not, determining that the road engineering quality of the target road is not at high risk.
Overlapping between the first target area and the second target area may occur, with the risk of overlapping areas being repeatedly calculated. This repeated calculation may result in a higher predicted risk, but the case of a lower predicted risk cannot be completely excluded. The drawing file of the target road can be repeatedly modified by the road engineering quality control method in the specification, so as to achieve the aim that if the construction risk is not greater than a preset first risk threshold value, the using risk is not greater than a preset second risk threshold value, and the overlapping degree between the first target area and the second target area is not greater than a preset overlapping degree threshold value.
Further, the present disclosure also provides a road engineering quality control device, which includes:
an acquisition module configured to: acquiring a drawing file of a target road;
the analysis module is configured to: analyzing the drawing file to determine a first target area and a second target area of the target road; the first target area is an area with construction difficulty greater than a preset difficulty coefficient; the second target area is an accident-prone area caused by road conditions when a vehicle runs along the target road under the condition that the target road is built;
a first prediction module configured to: predicting construction risk of the target road based on the first target area; in the case that the first target area is not unique, the construction risk is positively correlated with the concentration degree of the first target area in the target road, positively correlated with the duty ratio of the first target area in the target road, negatively correlated with the driving smoothness degree provided by the other roads communicated with the target road for driving to the first target area and the target road for driving to the first target area along the construction direction of the target road;
a second prediction module configured to: predicting a use risk of the target road based on the second target area; the use risk is positively correlated with the frequency of vehicle driving accidents on the road section which is historically the same as the road condition of the second target area;
a judging module configured to: and if the construction risk is greater than a preset first risk threshold and the use risk is greater than a preset second risk threshold, determining that the road engineering quality of the target road is high in risk.
The apparatus can perform the method in any of the foregoing embodiments, and can obtain the same or similar technical effects, which are not described herein.
Fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 2, at the hardware level, the electronic device includes a processor, and optionally an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 2, but not only one bus or type of bus.
And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory to the memory and then runs the computer program to form a road engineering quality control device on a logic level. And the processor is used for executing the program stored in the memory and particularly executing any road engineering quality control method.
The method for controlling road engineering quality disclosed in the embodiment shown in fig. 1 of the present application may be applied to a processor or implemented by the processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The electronic device may also execute a method for controlling road engineering quality in fig. 1, and implement the functions of the embodiment shown in fig. 1, which is not described herein.
The embodiments of the present application also provide a computer-readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by an electronic device including a plurality of application programs, perform any one of the aforementioned road engineering quality control methods.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (10)
1. A method for controlling road engineering quality, the method comprising:
acquiring a drawing file of a target road;
analyzing the drawing file to determine a first target area and a second target area of the target road; the first target area is an area with construction difficulty greater than a preset difficulty coefficient; the second target area is an accident-prone area caused by road conditions when a vehicle runs along the target road under the condition that the target road is built;
predicting construction risk of the target road based on the first target area; in the case that the first target area is not unique, the construction risk is positively correlated with the concentration degree of the first target area in the target road, positively correlated with the duty ratio of the first target area in the target road, negatively correlated with the driving smoothness degree provided by the other roads communicated with the target road for driving to the first target area and the target road for driving to the first target area along the construction direction of the target road;
predicting a use risk of the target road based on the second target area; the use risk is positively correlated with the frequency of vehicle driving accidents on the road section which is historically the same as the road condition of the second target area;
and if the construction risk is greater than a preset first risk threshold and the use risk is greater than a preset second risk threshold, determining that the road engineering quality of the target road is high in risk.
2. The method of claim 1, wherein the method further comprises:
the construction difficulty is inversely related to the lowest preset inclusion degree of equipment adopted in construction of the first target area on a construction environment, inversely related to the predicted construction speed of the first target area, and positively related to the occurrence frequency of natural disasters of the geographic position of the first target area.
3. The method of claim 1, wherein the method further comprises:
and determining a part of the drawing file, wherein the inclination angle of the road section is larger than a preset first angle threshold value or the turning angle of the road section is larger than a preset second angle threshold value, as the second target area.
4. The method of claim 1, wherein the method further comprises:
the smoothness is positively correlated with the maximum load of vehicles allowed to pass on the road section, positively correlated with the maximum loading height of vehicles allowed to pass on the road section, positively correlated with the number of one-way lanes on the road section, negatively correlated with the maximum turning angle of the road section and negatively correlated with the maximum inclination angle of the road section.
5. The method of claim 1, wherein the method further comprises:
and under the condition that the first target area is unique, the construction risk is inversely related to the driving smoothness degree provided by the target road for driving to the first target area in the construction direction along the target road.
6. The method of claim 1, wherein the method further comprises:
if the construction risk is not greater than the first risk threshold and the use risk is greater than the second risk threshold, a first alarm is sent; the first alarm is used for prompting adjustment of parameters of the target road.
7. The method of claim 1, wherein the method further comprises:
if the construction risk is greater than the first risk threshold and the use risk is not greater than the second risk threshold, a second alarm is sent; the second alarm is used for prompting construction sequence adjustment for the target road; the construction sequence adjustment includes: at least one of construction direction adjustment and road section sequential construction sequence adjustment.
8. The method of claim 1, wherein the method further comprises:
if the construction risk is not greater than the first risk threshold and the use risk is not greater than the second risk threshold, judging whether the overlapping degree between the first target area and the second target area is greater than a preset overlapping degree threshold;
if yes, a third alarm is sent out; the third alarm is used for prompting the manual adjustment of the range of one of the first target area and the second target area so as to carry out risk prediction again based on the adjusted result;
if not, determining that the road engineering quality of the target road is not at high risk.
9. A road engineering quality control device, characterized in that the device comprises:
an acquisition module configured to: acquiring a drawing file of a target road;
the analysis module is configured to: analyzing the drawing file to determine a first target area and a second target area of the target road; the first target area is an area with construction difficulty greater than a preset difficulty coefficient; the second target area is an accident-prone area caused by road conditions when a vehicle runs along the target road under the condition that the target road is built;
a first prediction module configured to: predicting construction risk of the target road based on the first target area; in the case that the first target area is not unique, the construction risk is positively correlated with the concentration degree of the first target area in the target road, positively correlated with the duty ratio of the first target area in the target road, negatively correlated with the driving smoothness degree provided by the other roads communicated with the target road for driving to the first target area and the target road for driving to the first target area along the construction direction of the target road;
a second prediction module configured to: predicting a use risk of the target road based on the second target area; the use risk is positively correlated with the frequency of vehicle driving accidents on the road section which is historically the same as the road condition of the second target area;
a judging module configured to: and if the construction risk is greater than a preset first risk threshold and the use risk is greater than a preset second risk threshold, determining that the road engineering quality of the target road is high in risk.
10. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311642778.8A CN117522226A (en) | 2023-12-04 | 2023-12-04 | Road engineering quality control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311642778.8A CN117522226A (en) | 2023-12-04 | 2023-12-04 | Road engineering quality control method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117522226A true CN117522226A (en) | 2024-02-06 |
Family
ID=89749284
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311642778.8A Pending CN117522226A (en) | 2023-12-04 | 2023-12-04 | Road engineering quality control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117522226A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180349817A1 (en) * | 2017-06-01 | 2018-12-06 | Autodesk, Inc. | Architecture, engineering and construction (aec) risk analysis system and method |
| CN112101670A (en) * | 2020-09-21 | 2020-12-18 | 北京嘀嘀无限科技发展有限公司 | Data processing method and device, electronic equipment and readable storage medium |
| CN112991747A (en) * | 2021-05-10 | 2021-06-18 | 交通运输部公路科学研究所 | Risk monitoring method and device for road operation area and electronic equipment |
| CN115879821A (en) * | 2023-01-03 | 2023-03-31 | 北京工业大学 | Foundation pit engineering construction quality assessment method based on multi-source heterogeneous data |
-
2023
- 2023-12-04 CN CN202311642778.8A patent/CN117522226A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180349817A1 (en) * | 2017-06-01 | 2018-12-06 | Autodesk, Inc. | Architecture, engineering and construction (aec) risk analysis system and method |
| CN112101670A (en) * | 2020-09-21 | 2020-12-18 | 北京嘀嘀无限科技发展有限公司 | Data processing method and device, electronic equipment and readable storage medium |
| CN112991747A (en) * | 2021-05-10 | 2021-06-18 | 交通运输部公路科学研究所 | Risk monitoring method and device for road operation area and electronic equipment |
| CN115879821A (en) * | 2023-01-03 | 2023-03-31 | 北京工业大学 | Foundation pit engineering construction quality assessment method based on multi-source heterogeneous data |
Non-Patent Citations (1)
| Title |
|---|
| 田玉喜;: "浅谈市政道路工程施工质量控制难点及存在的问题", 山东工业技术, no. 05, 1 March 2017 (2017-03-01), pages 86 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20170004707A1 (en) | Method and apparatus for identifying a split lane traffic location | |
| CN107389085B (en) | Method and device for determining road traffic attributes, computer and storage medium | |
| CN106846810B (en) | Highway toll station current limiting method and device | |
| CN115294767B (en) | Real-time detection and traffic safety early warning method and device for expressway lane line | |
| CN110658820A (en) | Method and device for controlling unmanned vehicle, electronic device and storage medium | |
| CN115964545A (en) | Method for deducing pollution point location based on slag transport vehicle track point | |
| Sun et al. | Crash analysis of mountainous freeways with high bridge and tunnel ratios using road scenario-based discretization | |
| CN113724497A (en) | Method and device for predicting real-time traffic flow of target road | |
| CN117010582B (en) | Ship route model extraction method for optimizing ship track | |
| CN117522226A (en) | Road engineering quality control method | |
| CN116433988B (en) | Multi-source heterogeneous image data classification treatment method | |
| Chu et al. | Discrete choice models for gap acceptance at urban expressway merge sections considering safety, road geometry, and traffic conditions | |
| CN116564097B (en) | Intersection passing decision-making method, device and system of vehicle and electronic equipment | |
| CN109934496B (en) | Method, device, equipment and medium for determining inter-area traffic influence | |
| CN115331449B (en) | Method and device for identifying accident-prone area of long and large continuous longitudinal slope section and electronic equipment | |
| CN112489452B (en) | Method, device and system for assisting vehicle to merge into main road | |
| CN114202937B (en) | Method, device, equipment and medium for managing and controlling vehicles on upstream of construction road section | |
| CN111627210B (en) | Traffic flow prediction method, device, equipment and medium | |
| US11548473B1 (en) | Vehicle operator authentication operations | |
| US20220198923A1 (en) | Method, apparatus, and computer program product for determining a split lane traffic pattern | |
| US20230072145A1 (en) | Method, terminal device and medium for screening gradient points, method and system for calculating gradient | |
| CN113611106A (en) | Road traffic condition prediction method, device and equipment based on smart city | |
| Kim et al. | Influence of dedicated lanes for connected and automated vehicles on highway traffic flow | |
| Cao et al. | Optimal deployment of sensors along freeway corridors for traffic accident detection | |
| CN114049769B (en) | Method and device for predicting road congestion condition and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |