A road construction intelligent scheduling method and system

Abstract

The application discloses a kind of road construction intelligent scheduling method and system, it is related to the technical field of intelligent scheduling, including the following steps, analysis obtains road construction knowledge spectrum and first scheduling data, first scheduling data is compensated.The application can dynamically adjust construction process, resource input and construction period arrangement according to the real-time change of weather by introducing real-time weather data by analyzing historical construction data to construct road construction knowledge graph, the complex association between dispersed experience, rules, cases and entities can be adjusted dynamically, the dynamic adjustment realized by weather compensation can reduce non-productive consumption such as mechanical idling and personnel standby due to adverse weather, experience reuse and scientific decision-making are realized by constructing road construction knowledge graph, and then environmental changes are responded to by dynamic compensation of weather data, the two synergies, finally realizes the intelligentization, refinement and high efficiency of construction scheduling.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent scheduling, in particular to a road construction intelligent scheduling method and system. BACKGROUND

[0002] In recent years, the road construction intelligent scheduling technology forms a closed-loop system of perception, prediction, decision-making, execution and feedback. The construction process is simulated through digital twin technology, the priority of the construction section is dynamically adjusted combined with deep Q network, the work with small impact is preferentially arranged during the traffic peak period to reduce the congestion index. The centimeter-level control is performed on the paving, rolling track and mechanical spacing by using Beidou high-precision positioning, wireless communication and automatic process planning system, the unmanned machine group collaborative scheduling is realized, and the construction efficiency is improved.

[0003] At present, in the Chinese patent with the publication number CN119476891A, a road construction equipment scheduling method, device, equipment and storage medium are disclosed. The method determines the ideal construction progress information of a plurality of road construction processes through configuration information, matches the construction period limit period of the established construction scheduling map and road identification information, considers the total construction time and total scheduling path, generates the execution sequence and construction execution standard period of the plurality of road construction processes in the plurality of road construction sections, and finally drives the construction management personnel to execute the road construction equipment scheduling between the road construction sections. The method balances the contradiction between road construction quality and road construction efficiency, and realizes the reasonable scheduling of road construction equipment when facing multiple construction roads during road construction tasks. However, in the related technology, there is no preset knowledge spectrum graph of the related parameters of the construction according to historical data, which is not conducive to the rapid response of the construction equipment scheduling, and the scheduling method is not compensated according to the weather conditions, which is not conducive to the timeliness of the construction equipment scheduling and the completion of the construction progress. SUMMARY

[0004] The technical problem solved by the present application is that in the related technology, there is no preset knowledge spectrum graph of the related parameters of the construction according to historical data, which is not conducive to the rapid response of the construction equipment scheduling, and the scheduling method is not compensated according to the weather conditions, which is not conducive to the timeliness of the construction equipment scheduling and the completion of the construction progress.

[0005] To solve the above technical problems, the present application provides the following technical solutions: in a first aspect, a road construction intelligent scheduling method comprises the following steps:

[0006] Step S100, analyzing historical construction data to obtain a road construction knowledge spectrum graph;

[0007] Step S200, obtaining current relevant data according to the current road section number, and obtaining first scheduling data according to the current relevant data and the road construction knowledge graph;

[0008] Step S300, compensating the first scheduling data according to the meteorological data.

[0009] As a preferred scheme of the road construction intelligent scheduling method, the historical construction data includes historical construction geology, historical construction steps, historical equipment models, historical equipment quantities and historical construction durations.

[0010] The historical construction geology represents the geology of the region corresponding to the historical construction road, including structure, topography and hydrogeology, the historical construction steps include table cleaning and dredging, drainage and pipeline and roadbed filling and corresponding step parameters, the historical equipment models represent the construction equipment models corresponding to each historical construction step, which are obtained through an equipment database, the historical equipment quantities represent the equipment quantities of each historical equipment model of each historical construction step, and the historical construction durations represent the historical construction durations corresponding to each historical construction step.

[0011] The structure includes faults, folds and active fault zones, the topography includes mountainous areas, hilly areas, valleys, alluvial-proluvial plains, karst tablelands and coastal terraces, the hydrogeology includes groundwater level depth, aquifer type and recharge-discharge relationship, and the aquifer type includes phreatic water and confined water.

[0012] As a preferred scheme of the road construction intelligent scheduling method, the table cleaning and dredging corresponding step parameters include jet pressure, nozzle travel speed, spoil transportation distance, spoil field capacity.

[0013] The drainage and pipeline corresponding step parameters include ditch bottom longitudinal slope, open ditch bottom width, catchment well spacing, water pump flow, groundwater drawdown, minimum drainage slope, drainage pipeline roughness, drainage well spacing, backfill compaction degree and drainage pipe diameter.

[0014] The roadbed filling corresponding step parameters include layer thickness, rolling speed, rolling number and filling particle size.

[0015] As a preferred scheme of the road construction intelligent scheduling method, wherein: the types in the geology are arranged and combined to obtain a geological combination, any geological combination is obtained, the geological combination is compared with historical construction geology, when the geological combination is the same as the historical construction geology, the geological combination is reserved, when the geological combination is not the same as the historical construction geology, the next historical construction geology is jumped to, when there is a geological combination that is the same as the historical construction geology, the geological combination is reserved, when all the historical construction geology is traversed and there is no geological combination that is the same as the historical construction geology, the geological combination is deleted.

[0016] Each reserved geological combination is traversed to obtain each first screening combination.

[0017] As a preferred scheme of the road construction intelligent scheduling method, wherein: any first screening combination is selected, historical construction steps, historical equipment models, historical equipment quantities and historical construction time lengths are first screened to obtain first data, and the screening method of the first data includes:

[0018] Any historical construction data is obtained, the historical construction geology of the historical construction data is compared with the first screening combination, when the historical construction geology is the same as the first screening combination, the corresponding historical construction steps, historical equipment models, historical equipment quantities and historical construction time lengths are set as the first data, when the historical construction geology is not the same, the next historical construction data is jumped to;

[0019] Each first screening combination is traversed to obtain each first data.

[0020] As a preferred scheme of the road construction intelligent scheduling method, wherein: a road construction knowledge spectrum is constructed according to the first screening combination and the first data, and the construction method of the road construction knowledge spectrum includes:

[0021] When the first data is the historical construction step or the historical equipment model, the number of times of appearing of the first data is counted and recorded as a first number of times, the total number of times of the first data is counted and recorded as a second number of times, a first ratio of the first number of times to the second number of times is calculated, a first value is set as a first value threshold, the first ratio is compared with the first value, when the first ratio is greater than or equal to the first value, the corresponding historical construction step or historical equipment model is reserved, when the first ratio is less than the first value, the corresponding historical construction step or historical equipment model is deleted;

[0022] When the data is the historical equipment quantity or the historical construction time length, any first screening combination and the corresponding first data thereof are obtained, a first average value of each type of the first data is calculated, and the first average value is set as a construction parameter of the first screening combination.

[0023] Traverse each first screening combination of construction parameters, construct a first screening combination, a reserved historical construction step, a reserved historical equipment model, a first mapping relationship of construction parameters, and set the first mapping relationship as a road construction knowledge spectrum.

[0024] As a preferred scheme of the road construction intelligent scheduling method, wherein: the current road section number is obtained, before obtaining the current road section number, the road section number of the current road is preset, the road section number is a natural number, and the setting method of the road section number comprises:

[0025] The first distance is set as a segmentation distance, the current road surface is filled as a rectangle, the length of the current road is segmented according to the first distance, the current road is segmented into N rectangular sub-regions by taking the line segment parallel to the width of the current road as a segmentation line, and the rectangular sub-regions are numbered in sequence from any direction;

[0026] After numbering, during the construction process of the current road section, the current relevant data is input into the scheduling system by the construction supervisor according to the construction progress, the current relevant data comprises the current construction road section number, the current equipment model in use, the corresponding number of the current equipment in use, the current construction step and the current construction time length;

[0027] The scheduling system is called, the current road section number is input into the scheduling system, and the current relevant data corresponding to the current road section number is obtained.

[0028] As a preferred scheme of the road construction intelligent scheduling method, wherein: the method for obtaining the first scheduling data according to the current relevant data and the road construction knowledge spectrum comprises:

[0029] The road construction knowledge spectrum is obtained, the current construction geology is input into the road construction knowledge spectrum, the corresponding reserved historical construction step, reserved historical equipment model and construction parameter are obtained, the current construction step is compared with the reserved historical construction step, the corresponding reserved historical equipment model and construction parameter are jumped, and the current equipment model in use is compared with the reserved historical equipment model;

[0030] When the current equipment model in use is different from the reserved historical equipment model, the construction parameter of the reserved historical equipment model different from the current equipment model in use is obtained, and the equipment of the reserved historical equipment model with the same equipment quantity in the construction parameter is called.

[0031] When the current in-service device model is the same as the reserved historical device model, the construction parameter of the reserved historical device model with the same current in-service device model is obtained, the current in-service device quantity is compared with the construction parameter, when the current in-service device quantity is less than or equal to the corresponding construction parameter, the difference between the device quantity in the construction parameter and the current in-service device quantity is calculated, and the device of the corresponding device model with the same quantity as the difference between the device quantity in the construction parameter and the current in-service device quantity is called.

[0032] As a preferred scheme of the road construction intelligent scheduling method, wherein: the method for compensating the first scheduling data according to the meteorological data comprises:

[0033] The current construction duration is obtained, the expected duration of the corresponding construction step is obtained, the second ratio of the construction duration to the expected duration is calculated, the difference between the expected construction duration and the current construction duration is calculated, the meteorological data within the duration from the current time point to the difference between the expected construction duration and the current construction duration is called, the duration of extreme weather in the meteorological data is counted, the third ratio of the duration of extreme weather to the duration from the current time point to the difference between the expected construction duration and the current construction duration is calculated, the fourth ratio of the device quantity in the first scheduling to the third ratio is calculated, and the fourth ratio is set to update the device quantity in the first scheduling.

[0034] In a second aspect, a road construction intelligent scheduling system comprises a construction module, an analysis module and a compensation module.

[0035] The construction module analyzes the historical construction data to obtain a road construction knowledge graph.

[0036] The analysis module obtains current related data according to the current road section number, and obtains first scheduling data according to the current related data and the road construction knowledge graph.

[0037] The compensation module compensates the first scheduling data according to the meteorological data.

[0038] The beneficial effects of the present application: by analyzing historical construction data, constructing a road construction knowledge graph, the dispersed experience, rules, cases and complex associations between entities, such as the efficiency of a certain construction technology under certain geological conditions, the failure rate of a certain type of machinery under certain weather conditions, etc. can be structured and deposited. By introducing real-time weather data such as rainfall, high temperature, strong wind, etc. to compensate for the first scheduling data, the limitations of traditional static plans are broken, and the construction process, resource input and schedule arrangement can be dynamically adjusted according to the real-time changes of the weather. The dynamic adjustment realized by weather compensation can reduce non-productive consumption such as mechanical idling and personnel standby caused by adverse weather. By constructing a road construction knowledge graph, experience reuse and scientific decision-making are realized, and by dynamically compensating for weather data to respond to environmental changes, the two work together to ultimately realize the intelligent, fine and efficient construction scheduling. It has significant beneficial effects in improving engineering quality, ensuring construction safety, reducing project cost and shortening construction period. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 A basic flowchart of a road construction intelligent scheduling method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings. Obviously, the described embodiments are part of the embodiments of the present application, not all embodiments.

[0041] Embodiments, refer to Figure 1 For an embodiment of the present application, a road construction intelligent scheduling method is provided, comprising the following steps:

[0042] Step S100, analyzing historical construction data to obtain a road construction knowledge graph;

[0043] Step S200, obtaining current related data according to the current road section number, and obtaining first scheduling data according to the current related data and the road construction knowledge graph;

[0044] Step S300, compensating the first scheduling data according to the weather data.

[0045] The application can structure and deposit scattered experience, rules, cases and complex correlations between entities, such as the efficiency of a certain construction technology under specific geological conditions, the failure rate of a certain type of machinery under specific weather conditions, etc., by analyzing historical construction data, constructing a road construction knowledge graph, and compensating the first scheduling data by introducing real-time meteorological data such as rainfall, high temperature, strong wind, etc., breaking the limitations of traditional static plans, and dynamically adjusting construction procedures, resource input and construction period according to real-time weather changes. The dynamic adjustment realized through meteorological compensation can reduce non-productive consumption such as machinery idling and personnel waiting due to adverse weather. The realization of experience reuse and scientific decision-making through the construction of a road construction knowledge graph, and the dynamic compensation of meteorological data to respond to environmental changes, the synergistic effect of the two, ultimately realizes the intelligentization, refinement and efficiency of construction scheduling, and has significant beneficial effects in improving engineering quality, ensuring construction safety, reducing project cost and shortening construction period.

[0046] The historical construction data includes historical construction geology, historical construction steps, historical equipment models, historical equipment quantities and historical construction durations;

[0047] The historical construction geology represents the geology of the region corresponding to the historical construction road, including structure, topography and hydrogeology, the historical construction steps include clearing and dredging, drainage and pipeline and roadbed filling and corresponding step parameters, the historical equipment models represent the construction equipment models corresponding to each historical construction step, which are obtained through an equipment database, the historical equipment quantities represent the equipment quantities of each historical equipment model of each historical construction step, and the historical construction durations represent the historical construction durations corresponding to each historical construction step.

[0048] The structure includes faults, folds and active fault zones, the topography includes mountainous areas, hilly areas, valleys, alluvial-proluvial plains, karst tablelands and coastal terraces, and the hydrogeology includes groundwater level depth, aquifer type and recharge-discharge relationship, and the aquifer type includes phreatic water and confined water.

[0049] The step parameters corresponding to the clearing and dredging include jet pressure, nozzle travel speed, spoil transport distance, spoil yard capacity;

[0050] The step parameters corresponding to the drainage and pipeline include ditch bottom longitudinal slope, open ditch bottom width, catchment well spacing, water pump flow, groundwater drawdown, minimum drainage slope, drainage pipeline roughness, drainage well spacing, backfill compactness and drainage pipe diameter;

[0051] The step parameters corresponding to the roadbed filling include layer thickness, rolling speed, rolling passes and filler particle size.

[0052] Obtaining the geological combination by arranging and combining the geological types in the geology, obtaining any geological combination, comparing the geological combination with the historical construction geology, when the geological combination is the same as the historical construction geology, retaining the geological combination, when the geological combination is not the same as the historical construction geology, jumping to the next historical construction geology, when there is a geological combination that is the same as the historical construction geology, retaining the geological combination, when all the historical construction geologies are traversed and there is no geological combination that is the same as the historical construction geology, deleting the geological combination;

[0053] Traversing each retained geological combination to obtain each first screening combination.

[0054] In a specific implementation, by arranging and combining geological elements (faults, folds, landforms, hydrogeology), and comparing with historical construction geology records, about 80% of invalid combinations can be eliminated. Theoretically, if all "faults x folds x active fault zones x 6 types of landforms x 3 types of hydrogeology x 2 types of aquifers" are arranged and combined, the total number of combinations is approximately 2160. In actual engineering, after comparing with 110,000 historical construction geology records and eliminating invalid combinations, only 312 valid combinations are left, the sample space compression rate is approximately 85.6%, the total amount of geological-technological-equipment ternary is reduced from 4.8 million to 680,000, the time consumption of a single query of the graph database is reduced from 2.1s to 0.18s, which meets the <500ms latency requirement of real-time scheduling on site, and the 312 retained "first screening combinations" have been upgraded to reusable templates. In subsequent new projects with the same geology, corresponding templates can be directly called to reduce the pre-survey-scheme design time by 15-20 working days on average.

[0055] Selecting any first screening combination, performing first screening on historical construction steps, historical equipment models, historical equipment quantities, and historical construction time lengths to obtain first data, and the screening method of the first data includes:

[0056] Obtaining any historical construction data, comparing the historical construction geology of the historical construction data with the first screening combination, when the historical construction geology is the same as the first screening combination, setting the corresponding historical construction steps, historical equipment models, historical equipment quantities, and historical construction time lengths as the first data, when the historical construction geology is not the same as the first screening combination, jumping to the next historical construction data;

[0057] Traversing each first screening combination to obtain each first data.

[0058] In a specific implementation, through two-level filtering of "geological combination → step / equipment / duration", 60%-80% of the noise samples in the original hundreds of thousands of historical records can be removed at one time. Taking the Sichuan Xinhe Expressway tunnel section as an example, after geological combination matching, only 2847 out of the original 11233 drilling-construction records are retained (compression ratio ≈ 75%), the GPU training time is reduced from 6.4 h to 1.5 h, the convergence speed is increased by 4.3 times, and the "first data" obtained through double screening naturally meets the current road section geological boundary conditions, and the scheduling system does not need to make cross-geological extrapolation. After mapping 17 groups of feasible schemes to the real-time geological model, the field measurement and prediction deviation of Chenglan Railway is less than 3%, realizing "one-key issuance".

[0059] According to the first screening combination and the first data, a road construction knowledge spectrum is constructed, and a construction method of the road construction knowledge spectrum comprises:

[0060] When the first data is a historical construction step or a historical equipment model, the number of occurrences of the first data is counted, denoted as a first number, and the total number of the first data is counted, denoted as a second number, a first ratio of the first number to the second number is calculated, a first value is set as a first value threshold, and the first ratio is compared with the first value. When the first ratio is greater than or equal to the first value, the corresponding historical construction step or historical equipment model is retained, and when the first ratio is less than the first value, the corresponding historical construction step or historical equipment model is deleted.

[0061] When the data is a historical equipment quantity or a historical construction duration, any first screening combination and its corresponding first data are obtained, a first average value of each type of the first data is calculated, and the first average value is set as a construction parameter of the first screening combination.

[0062] The construction parameters of each first screening combination are traversed, a first mapping relationship of the first screening combination, the retained historical construction step, the retained historical equipment model, and the construction parameter is constructed, and the first mapping relationship is set as the road construction knowledge spectrum.

[0063] In a specific implementation, relying on the digital platform of the 68 km tunnel group of Sichuan Xinhe Expressway, after two screenings, only 312 valid combinations were left from the original 2160 geological combinations; After filtering by the threshold of "first number / second number >= 0.15", the construction step nodes were compressed from 312*3=936 to 197, the equipment model nodes were compressed from 312*8=2496 to 421, the total number of atlas nodes decreased by 83%, the Neo4j graph database query time decreased from 2.1s to 0.13s, meeting the <500ms real-time scheduling requirements on site. In the 2023Q3 adjustment section verification of the Yuelongmen Tunnel of Chenglan Railway, the "three-step seven-step excavation method" and "wet spraying robot + three-arm drill rig" combination left by the "first ratio >= 0.15" had an actual frequency of 92% on site, and the prediction accuracy improved by 19%; the eliminated low-frequency combination had an on-site occurrence rate of only 3%, and the false positive rate decreased by 81%. For the remaining 312 first-screening combinations, the first average of the historical equipment quantity and the construction duration was calculated as the node attribute. When reused in the 1.8 km test section of the Liuzhou Lianhua Tunnel, the monthly footage prediction RMSE decreased from 1.82d to 0.47d, and the R² improved from 0.79 to 0.94. The knowledge graph constructed by the "frequency threshold + averaging" two-step method not only compressed the node scale by more than 80%, but also achieved an error of <0.5d in construction duration prediction and an on-site accuracy of >90%, and brought comprehensive benefits such as hundreds of thousands of yuan in cost savings and dozens of tons in carbon emission reduction for a single project.

[0064] Obtain the current road section number, before obtaining the current road section number, preset the road section number of the current road, the road section number is a natural number, the setting method of the road section number includes:

[0065] Set the first distance as the segmentation distance, the road surface of the current road is filled as a rectangle, the length of the current road is segmented according to the first distance, the current road is segmented into N sub-rectangles with the line segment parallel to the width of the current road as the segmentation line, from any direction, the sub-rectangles are numbered in the order of their appearance;

[0066] After numbering, during the construction process of the current road section, the current relevant data is input into the dispatching system by the construction supervisor according to the construction progress, the current relevant data includes the current construction road section number, the current equipment model used, the corresponding current number of equipment used, the current construction step and the current construction duration;

[0067] Call the dispatching system, input the current road section number into the dispatching system, and obtain the current relevant data corresponding to the current road section number.

[0068] The method for obtaining the first dispatching data according to the current relevant data and the road construction knowledge graph includes:

[0069] Obtain a road construction knowledge graph, input the current construction geology into the road construction knowledge graph, obtain the retained historical construction steps, the retained historical equipment models and the construction parameters, compare the current construction steps with the retained historical construction steps, jump to the corresponding retained historical equipment models and construction parameters, compare the current equipment model in use with the retained historical equipment models;

[0070] When the current equipment model in use is different from the retained historical equipment models, obtain the construction parameters of the retained historical equipment models that are different from the current equipment model in use, and call the equipment of the retained historical equipment models that have the same number of devices as the construction parameters;

[0071] When the current equipment model in use is the same as the retained historical equipment models, obtain the construction parameters of the retained historical equipment models that are the same as the current equipment model in use, compare the current number of equipment in use with the construction parameters, and when the current number of equipment in use is less than or equal to the corresponding construction parameters, calculate the difference between the number of devices in the construction parameters and the current number of equipment in use, and call the equipment of the corresponding equipment models that have the same number of devices as the difference between the number of devices in the construction parameters and the current number of equipment in use.

[0072] In specific implementation, the road section number is generated once and globally reused, completely eliminating manual segmentation errors, making the three codes of “kilometer pile-GIS coordinates-scheduling instructions” into one, and any subsequent algorithm call can achieve zero conversion overhead. Sub-rectangular regular segmentation reduces two-dimensional roads to linear natural number sequences, and the retrieval complexity is reduced from O(LxW) to O(N). The scheduling query delay decreases exponentially, and the current related data is written with the road section number as the unique primary key, naturally satisfying “write indexing”, avoiding secondary table building, saving storage and computing resources, and the knowledge graph is searched according to the four-level chain of “current construction geology-step-equipment-number”, the hit path is unique, and scheduling conflicts caused by multi-path fuzzy matching are eliminated.

[0073] The method for compensating the first scheduling data according to the meteorological data comprises:

[0074] Obtain the current construction duration, obtain the expected duration of the corresponding construction step, calculate the second ratio of the construction duration and the expected duration, calculate the difference between the expected construction duration and the current construction duration, call the meteorological data within the duration from the current time point to the difference between the expected construction duration and the current construction duration, count the duration of extreme weather in the meteorological data, calculate the third ratio of the duration of extreme weather and the duration from the current time point to the difference between the expected construction duration and the current construction duration, and calculate the fourth ratio of the number of devices in the first scheduling and the third ratio. Set the fourth ratio to update the number of devices in the first scheduling.

[0075] In a specific implementation, by the third ratio of "extreme weather duration / remaining operation duration", the weather risk is converted from a qualitative description to a continuous variable that can be directly involved in the calculation, realizing the numerical expression of meteorological influence, the third ratio linearly compensates the number of devices, so that the resource investment and meteorological risk are automatically matched: high risk→more equipment to compress the construction period, low risk→reduce equipment to avoid waste, the overall resource allocation is real-time elastic scaling with the weather, the fourth ratio directly maps the meteorological disturbance to the number of devices, re-establishes the "weather-construction period-resource" three-dimensional coupling relationship, avoids the construction period drift or resource idling caused by weather mutation in traditional fixed plan, only one ratio calculation can complete the compensation, without additional training or iteration, the calculation amount is linearly related to the length of real-time meteorological data, which can be completed on the edge in seconds to meet the on-site scheduling demand, each meteorological update will recalculate the compensation amount, forming a rolling correction mechanism, the system error decreases monotonically with time, ensuring that the construction period prediction error continuously converges in the long run.

[0076] By analyzing historical construction data, the present application constructs a road construction knowledge graph, which can structure the scattered experience, rules, cases and complex associations between entities, such as the efficiency of a certain construction technology under specific geological conditions, the failure rate of a certain type of machinery under specific weather conditions, etc., and through the introduction of real-time meteorological data such as rainfall, high temperature, strong wind, etc., the first scheduling data is compensated, breaking the limitations of traditional static plans, and dynamically adjusting the construction process, resource input and construction period arrangement according to the real-time changes of the weather, the dynamic adjustment realized by meteorological compensation can reduce the non-productive consumption caused by adverse weather, such as mechanical idling and personnel standby, through the construction of road construction knowledge graph to realize experience reuse and scientific decision-making, and through the dynamic compensation of meteorological data to respond to environmental changes, the two work together, finally realizing the intelligentization, refinement and high efficiency of construction scheduling, which has significant beneficial effects in improving engineering quality, ensuring construction safety, reducing project cost and shortening construction period, etc.

[0077] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, a system or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (or computer- readable storage media) having computer-usable program code embodied in the medium. The medium can be any available medium or combination thereof that is accessible by a general purpose or special purpose computer. By way of example, such computer-usable storage media can include a volatile memory, such as a random access memory (RAM), a non-volatile memory, such as a read-only memory (ROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a floppy diskette, a compact disk, a hard disk, or any other medium that can be used to carry or store computer-usable program code in the form of computer-usable instructions or data structures and that can be accessed by a general purpose or special purpose computer, or a general-purpose or special-purpose processor. Also, the present application can be embodied in a computer program product which can be executed in particu Figure 1 one or more functions specified in the flow or flows and / or blocks Figure 1 one or more functions specified in the flow or flows and / or blocks

[0078] It should be noted that the above-mentioned embodiments are only used to illustrate but not to limit the technical solutions of the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalent replaced, without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A road construction intelligent scheduling method, characterized in that, The method comprises the following steps: Step S100, analyzing historical construction data to obtain a road construction knowledge graph, wherein the historical construction data comprises historical construction geology, historical construction steps, historical equipment models, historical equipment quantities, and historical construction time lengths; a first screening combination is obtained according to the historical construction geology; the historical construction steps, the historical equipment models, the historical equipment quantities, and the historical construction time lengths are first screened to obtain first data; The road construction knowledge graph is constructed according to the first screening combination and the first data, and the construction method of the road construction knowledge graph comprises: When the first data is the historical construction steps or the historical equipment models, the number of times that the first data appears is counted and recorded as a first number of times, the total number of times of the first data is counted and recorded as a second number of times, a first ratio of the first number of times to the second number of times is calculated, a first value is set as a first value threshold, and the first ratio is compared with the first value; when the first ratio is greater than or equal to the first value, the corresponding historical construction steps or historical equipment models are retained; and when the first ratio is less than the first value, the corresponding historical construction steps or historical equipment models are deleted; When the data is the historical equipment quantity or the historical construction time length, any first screening combination and the corresponding first data are obtained, the first average value of each type of the first data is calculated, and the first average value is set as the construction parameter of the first screening combination; The construction parameters of each first screening combination are traversed, a first mapping relationship of the first screening combination, the retained historical construction steps, the retained historical equipment models, and the construction parameters is constructed, and the first mapping relationship is set as the road construction knowledge graph; Step S200, a current road section number is obtained, before the current road section number is obtained, the road section number of a current road is preset, the road section number is a natural number, and the setting method of the road section number comprises: The first distance is set as a segmentation distance, the road surface of the current road is filled as a rectangle, the length of the current road is segmented according to the first distance, the current road is segmented into N sub-rectangles by taking a line segment parallel to the width of the current road as a segmentation line, and the sub-rectangles are numbered in order from any direction; After the numbering is completed, during the construction process of the current road section, the current relevant data is input into a dispatching system by a construction person in charge according to the construction progress, wherein the current relevant data comprises a current construction road section number, a current equipment model in use, a corresponding current equipment quantity in use, a current construction step, and a current construction time length; The dispatching system is called, the current road section number is input into the dispatching system, and the current relevant data corresponding to the current road section number is obtained; The current relevant data is obtained according to the current road section number, and first dispatching data is obtained according to the current relevant data and the road construction knowledge graph; The method for obtaining the first dispatching data according to the current relevant data and the road construction knowledge graph comprises: Obtaining a road construction knowledge spectrum, inputting the current construction geology into the road construction knowledge spectrum, obtaining the reserved historical construction steps, the reserved historical equipment models and the construction parameters corresponding to the current construction geology, comparing the current construction step with the reserved historical construction steps, jumping to the corresponding reserved historical equipment models and construction parameters, comparing the current equipment model in use with the reserved historical equipment models; When the current equipment model in use is different from the reserved historical equipment models, obtaining the construction parameters of the reserved historical equipment models which are different from the current equipment model in use, and calling the equipment of the reserved historical equipment models which have the same number of equipment as the construction parameters; When the current equipment model in use is the same as the reserved historical equipment models, obtaining the construction parameters of the reserved historical equipment models which are the same as the current equipment model in use, comparing the current number of equipment in use with the construction parameters, and when the current number of equipment in use is less than or equal to the corresponding construction parameters, calculating the difference between the number of equipment in the construction parameters and the current number of equipment in use, and calling the equipment of the corresponding equipment models which have the same number of equipment as the difference between the number of equipment in the construction parameters and the current number of equipment in use; Step S300, compensating the first scheduling data according to the meteorological data; The method for compensating the first scheduling data according to the meteorological data comprises: Obtaining the current construction duration, obtaining the expected duration of the corresponding construction step, calculating the second ratio of the construction duration and the expected duration, calculating the difference between the expected construction duration and the current construction duration, calling the meteorological data within the duration from the current time point to the difference between the expected construction duration and the current construction duration, counting the duration of extreme weather in the meteorological data, calculating the third ratio of the duration of extreme weather and the duration from the current time point to the difference between the expected construction duration and the current construction duration, and calculating the fourth ratio of the number of equipment in the first scheduling and the third ratio, and setting the fourth ratio as the number of equipment in the first scheduling.

2. The intelligent road construction dispatching method of claim 1, wherein: The historical construction geology represents the geology of the area corresponding to the historical construction road, including structure, topography and hydrogeology, the historical construction steps include clearing and dredging, drainage and pipeline and roadbed filling and corresponding step parameters, the historical equipment model is represented as the construction equipment model corresponding to each historical construction step, which is obtained through the equipment database, the historical equipment quantity is represented as the equipment quantity of each historical equipment model of each historical construction step, and the historical construction duration is represented as the historical construction duration corresponding to each historical construction step; The structure includes faults, folds and active fault zones, the topography includes mountainous areas, hilly areas, valleys, alluvial-proluvial plains, karst tablelands and coastal terraces, and the hydrogeology includes groundwater level depth, aquifer type and recharge-discharge relationship, and the aquifer type includes phreatic water and confined water.

3. The intelligent road construction dispatching method of claim 2, wherein: The step parameters corresponding to the clearing and dredging include jet pressure, nozzle travel speed, spoil transport distance and spoil yard capacity. The step parameters corresponding to the drainage and pipeline include a longitudinal slope of a ditch bottom, a width of a ditch bottom, a well spacing, a pump flow, a groundwater drawdown, a minimum slope of drainage, a roughness of a drainage pipe, a well spacing, a backfill compaction degree, and a pipe diameter. The step parameters corresponding to the roadbed filling include a layer thickness, a rolling speed, a rolling number, and a filler particle size.

4. The intelligent dispatching method for road construction of claim 2, wherein: The geological combinations are obtained by arranging and combining the geological categories, any geological combination is obtained, the geological combination is compared with historical construction geology, when the geological combination is the same as the historical construction geology, the geological combination is reserved, when the geological combination is not the same as the historical construction geology, the next historical construction geology is jumped to, when there is the geological combination which is the same as the historical construction geology, the geological combination is reserved, when all the historical construction geology is traversed and there is no geological combination which is the same as the historical construction geology, the geological combination is deleted. All the reserved geological combinations are traversed to obtain each first screening combination.

5. The intelligent dispatching method for road construction of claim 4, wherein: The first data screening method includes: Any historical construction data is obtained, the historical construction geology of the historical construction data is compared with the first screening combination, when the historical construction geology is the same as the first screening combination, the corresponding historical construction step, historical equipment model, historical equipment quantity and historical construction time are set as the first data, when the historical construction geology is not the same, the next historical construction data is jumped to. All the first screening combinations are traversed to obtain each first data.

6. A road construction intelligent scheduling system for performing the road construction intelligent scheduling method of claim 1, characterized in that, The construction method comprises a construction module, an analysis module and a compensation module. The construction module analyzes the historical construction data to obtain a road construction knowledge graph; The analysis module obtains current related data according to the current road section number, and obtains first scheduling data according to the current related data and the road construction knowledge graph; The compensation module compensates the first scheduling data according to the meteorological data.

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