Intelligent spreading and pressing machine group scheduling system and method for highway pavement construction

Abstract

The invention relates to the technical field of pavement construction, and particularly discloses an intelligent spreading and pressing machine group scheduling system and method for highway pavement construction, and the system comprises a road modeling and dividing module which is used for automatically planning an optimal construction path according to road information, and dividing the construction path into a plurality of regions; the compaction degrees in different areas in the construction process are estimated and calculated through the data calculation unit in combination with diversified data, the reliability and accuracy of the compaction degree calculation result can be improved, and then the compaction degrees in the different areas in the construction process are compared with the preset compaction degree through the data analysis unit; according to the method, whether the compaction effects of different areas are qualified or not can be accurately judged, and when the compaction effect of a certain area is judged to be unqualified, an intelligent scheduling adjustment scheme is formulated in time through the intelligent scheduling module according to the compaction degree information of the area, so that the subsequent compaction quality of the area is ensured, and the continuity and high efficiency of the construction process are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of road construction, and in particular to a system and method for dispatching a group of intelligent compactors for highway road construction. Background Art

[0002] The intelligent unmanned asphalt paving and compacting machine group is an important technological innovation in the field of road construction in recent years. These devices integrate multiple intelligent modules and advanced technologies to realize unmanned operation of the entire process from asphalt paving to rolling, greatly improving construction efficiency and quality, and reducing labor costs and safety risks.

[0003] When operating, the intelligent unmanned spreading and compacting machine group can automatically plan the optimal construction path according to the road data, and then first spread the asphalt through the paver. After the paving is completed, after waiting for the material to cool to a temperature suitable for compaction, the roller will compact the paving layer multiple times according to the optimal construction path to ensure the compaction effect, thereby completing the road pavement construction.

[0004] The rollers in traditional intelligent unmanned paving and compacting machine groups usually use the global collaborative scheduling mode and yoke-type compaction when working, that is, the paving layer is compacted using the optimal construction path and multiple pavers working side by side. However, due to the different states of the paving layer, the compaction degrees in different areas are different during the compaction operation. If this situation is not discovered in time and the rollers are not adjusted and scheduled, the compaction quality in this area may be unqualified. Summary of the invention

[0005] The purpose of the present invention is to provide a system and method for dispatching a group of intelligent road pavement compactors to solve the following technical problems:

[0006] How to dispatch the roller in time to ensure the compaction quality of the paving layer.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A system and method for dispatching a group of intelligent road pavement compactors for road pavement construction, the system comprising:

[0009] The road modeling and division module is used to automatically plan the optimal construction path based on road information and divide the construction path into multiple areas;

[0010] A data acquisition module, including an environment acquisition unit, a roller status acquisition unit and a paving layer image acquisition unit, wherein the environment acquisition unit is used to acquire environmental information of the construction site;

[0011] The roller status collection unit is used to collect the operating status data of different rollers in different areas;

[0012] The paving layer image acquisition unit is used to take an image of the paving layer through a camera and identify data in the image information;

[0013] The data processing module includes a data calculation unit and a data analysis unit, wherein the data calculation unit is used to estimate and calculate the compaction degree in different areas during the construction process according to the data information collected by the data collection module;

[0014] The data analysis unit is used to compare the compaction degree in different areas during the construction process with the preset compaction degree, and judge whether the compaction effect of different areas is qualified according to the comparison result;

[0015] The intelligent scheduling module is used to intelligently schedule the roller when it is judged that the compaction effect in a certain area is unsatisfactory.

[0016] Furthermore, the data collected by the environment collection unit include: paving layer temperature, temperature and humidity in the construction site;

[0017] The data collected by the roller state collection unit include: the moving speed, amplitude and rolling wheel temperature of the roller in different areas;

[0018] The data collected by the paving layer image collection unit includes: the flatness, slope angle, slope area and slope curvature of the paving layer in different areas.

[0019] Furthermore, the estimated calculation process of the data calculation unit includes:

[0020] When a compaction operation is completed;

[0021] By formula Calculate the estimated compaction degree δ in the i-th area during construction i ;

[0022] Among them, x is any roller in the group of rollers, k is the total number of rollers in the group of rollers, i is any area in the construction path, pds i is the slope area in the ith region, pds b For pds i The standard value of pdjd i is the slope angle in the ith region, ql i is the slope curvature in the i-th region, ql y For preset curvature, pdjd y is the preset slope angle, γ is the error influence coefficient, pz i is the flatness of the ith region, pz y is the preset flatness, pz b For pzi The standard value of f L (x) is a defined function, if f L (x)>0, then f L (x)=(x), if f L (x)<0, then f L (x) = 0, t xi is the compaction loss coefficient of the x-th roller in the i-th area, f j is the first adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the compaction degree is obtained based on the test data, and Q1 and Q2 are the first weight coefficients.

[0023] Furthermore, the analysis process of the data analysis unit includes:

[0024] By calculating the estimated compaction degree δ in all areas during construction i Respectively with the preset compaction degree δ u Make a comparison;

[0025] If all δ i Both are greater than δ u , the system determines that the compaction degree of each area in the current compaction operation is high and the compaction quality is qualified, and there is no need to dispatch additional rollers;

[0026] If any δ i Less than δ u The system determines that there is a zone with low compaction degree in the area during the compaction operation, so it determines that the compaction quality of the area is unqualified, and dispatches the roller through the intelligent scheduling module.

[0027] Furthermore, the estimated calculation process of the data calculation unit also includes:

[0028] By formula Calculate the compaction loss coefficient t of the x-th roller in the i-th area xi ;

[0029] Among them, v xi is the moving speed of the x-th roller in the ith area, v y is the preset moving speed, xi is the amplitude of the x-th roller in the ith region, zd y is the preset amplitude, ρ i is the environmental impact coefficient of the ith region, zl x is the weight of the x-th roller, zl y is the preset weight of the roller, and θ is the influence coefficient of compaction passes, which is set based on empirical fitting.

[0030] Furthermore, the estimated calculation process of the data calculation unit also includes:

[0031] By formula Calculate the environmental impact coefficient ρ of the i-th area i ;

[0032] Among them, lq i is the asphalt temperature of the ith region, hj i is the ambient temperature of the ith region, ylj xi is the rolling wheel temperature of the x-th roller in the ith zone, lq y is the preset asphalt temperature, f x is the second adjustment coefficient comparison table function. According to the empirical data (hj i +ylj xi The influence of the range of values ​​of ) on the asphalt temperature is based on the test data, sd i is the humidity in the ith region, sd b sd i The standard value of z1 and z2 are the second weight coefficients.

[0033] Furthermore, the scheduling process of the intelligent scheduling module includes:

[0034] The estimated compaction degree δ of the area judged as unqualified compaction quality i Compare with the adjustment interval [δ1, δ2];

[0035] When δ i When >δ2, the compaction speed and frequency are adjusted to obtain better compaction effect;

[0036] When δ i ∈[δ1,δ2], the compaction degree can be improved by adjusting the compaction times of the scheduled roller;

[0037] When δ i When <δ1, it can be treated by locally strengthening the compaction method, such as dispatching a small roller or vibratory rammer for additional compaction.

[0038] A method for dispatching a group of intelligent compactors for highway pavement construction, the method comprising:

[0039] S1: The road modeling and division module automatically plans the optimal construction path based on road information and divides the construction path into multiple areas;

[0040] S2: Collecting environmental information of the construction site, operating status data of different rollers in different areas, and paving layer image data through the data acquisition module;

[0041] S3: using the data calculation unit to estimate and calculate the compaction degree in different areas during the construction process according to the data information collected by the data collection module;

[0042] S4: Compare the compaction degree in different areas during the construction process with the preset compaction degree through the data analysis unit, and judge whether the compaction effect of different areas is qualified according to the comparison result;

[0043] S5: When it is determined that the compaction effect of a certain area is unsatisfactory, the road roller is intelligently dispatched through the intelligent dispatching module.

[0044] Beneficial effects of the present invention:

[0045] (1) The present invention uses a data calculation unit to combine diversified data to estimate the compaction degree in different areas during the construction process, which can improve the reliability and accuracy of the compaction calculation results. Subsequently, the compaction degree in different areas during the construction process is compared with the preset compaction degree through the data analysis unit, so as to make an accurate judgment on whether the compaction effect of different areas is qualified. When it is judged that the compaction effect of a certain area is unqualified, the intelligent scheduling module timely formulates an intelligent scheduling adjustment plan according to the compaction information of the area to ensure the subsequent compaction quality of the area and ensure the continuity and efficiency of the construction process.

[0046] (2) The present invention calculates the estimated compaction degree δ of all areas during the construction process. i Respectively with the preset compaction degree δ u By comparing, this comparison method can accurately judge the compaction degree of each area in the current compaction operation, thereby judging the compaction quality of each area, and when it is judged that the compaction quality of a certain area is unqualified, the roller is promptly dispatched through the intelligent dispatching module to ensure the subsequent compaction quality of the area, thereby avoiding the situation where the compaction quality of the area with poor compaction is unqualified after the construction is completed due to the failure to timely discover the different compaction degrees of different areas and fail to adjust the dispatch of the roller, thereby ensuring the efficiency of the construction and the safety and quality of the road.

[0047] (3) The present invention calculates the compaction loss coefficient of the x-th roller in the ith area, and can provide accurate and diversified data support for calculating the estimated compaction degree in the ith area during the construction process, thereby improving the accuracy and reliability of the calculation results of the estimated compaction degree in the ith area during the construction process, and further improving the accuracy of the judgment results on whether the compaction quality of each area is qualified, ensuring that the abnormal compaction degree of a certain area is discovered in time and the roller is dispatched in time to ensure the compaction quality of the paving layer.

[0048] (4) The present invention calculates the estimated compaction degree δ of the area judged as unqualified compaction quality byi By comparing with the adjustment interval [δ1, δ2], through such a setting, the current compaction defect of the unqualified area can be graded according to the estimated compaction degree of the unqualified area, and different roller scheduling adjustment plans can be formulated according to the different levels of compaction defect conditions. Not only can the roller be scheduled in time to ensure the compaction quality of the paving layer, but also the continuity and efficiency of the construction process can be improved by formulating a suitable scheduling method, thereby improving the construction efficiency and the compaction quality of the paving layer. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1 It is a schematic block diagram of a dispatching system for an intelligent spreading and compacting machine group for highway pavement construction in the present invention;

[0051] Figure 2 It is a flow chart of a method for dispatching a group of intelligent compactors for highway pavement construction in the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] See also Figure 1 As shown, in one embodiment, the present application provides a system and method for dispatching a group of intelligent spreading and compacting machines for highway pavement construction, the system comprising:

[0054] The road modeling and division module is used to automatically plan the optimal construction path based on road information and divide the construction path into multiple areas;

[0055] A data acquisition module, including an environment acquisition unit, a roller status acquisition unit and a paving layer image acquisition unit, wherein the environment acquisition unit is used to acquire environmental information of the construction site;

[0056] The roller status collection unit is used to collect the operating status data of different rollers in different areas;

[0057] The paving layer image acquisition unit is used to take an image of the paving layer through a camera and identify data in the image information;

[0058] The data processing module includes a data calculation unit and a data analysis unit, wherein the data calculation unit is used to estimate and calculate the compaction degree in different areas during the construction process according to the data information collected by the data collection module;

[0059] The data analysis unit is used to compare the compaction degree in different areas during the construction process with the preset compaction degree, and judge whether the compaction effect of different areas is qualified according to the comparison result;

[0060] Intelligent scheduling module, used to intelligently schedule the roller when the compaction effect of a certain area is judged to be unsatisfactory;

[0061] Through the above technical scheme, this embodiment provides a road modeling and division module that automatically plans the optimal construction path according to the road information, and divides the construction path into multiple areas. After that, when the roller is working, the roller state acquisition unit is used to collect the operating state data of different rollers in different areas, and the paving layer image acquisition unit is used to capture the image of the paving layer through a camera, and identify the data in the image information. Finally, the environment acquisition unit is used to collect the environmental information of the construction site. After all the data are collected, the data calculation unit can be used to estimate the compaction degree in different areas during the construction process according to the data information collected by the data acquisition module, and the compaction degree in different areas during the construction process is compared with the preset compaction degree through the data analysis unit, and the compaction effect of different areas is judged to be qualified according to the comparison results. After analysis by the data analysis unit, if it is judged that the compaction effect of a certain area is unqualified, the roller can be intelligently scheduled through the intelligent scheduling module;

[0062] This system uses a data calculation unit to combine diversified data to estimate the compaction degree in different areas during the construction process, which can improve the reliability and accuracy of the compaction degree calculation results. Subsequently, the compaction degree in different areas during the construction process is compared with the preset compaction degree through the data analysis unit, so as to make an accurate judgment on whether the compaction effect of different areas is qualified. When it is judged that the compaction effect of a certain area is unqualified, the intelligent scheduling module will promptly formulate an intelligent scheduling adjustment plan according to the compaction degree information of the area to ensure the subsequent compaction quality of the area and ensure the continuity and efficiency of the construction process.

[0063] It should be noted that the process of identifying data in the image information in the paving layer image acquisition unit is a prior art and will not be elaborated on here.

[0064] The data collected by the environment collection unit include: paving layer temperature, temperature and humidity in the construction site;

[0065] The data collected by the roller state collection unit include: the moving speed, amplitude and rolling wheel temperature of the roller in different areas;

[0066] The data collected by the paving layer image collection unit includes: flatness, slope angle, slope area and slope curvature of the paving layer in different areas;

[0067] Through the above technical scheme, this embodiment provides information data collected by the environment collection unit, the roller status collection unit and the paving layer image collection unit, wherein the data collected by the roller status collection unit includes the moving speed, amplitude and rolling wheel temperature of the roller in different areas, and the data collected by the paving layer image collection unit includes the flatness, slope angle, slope area and slope curvature of the paving layer in different areas. The data collected by the paving layer image collection unit includes the flatness, slope angle, slope area and slope curvature of the paving layer in different areas. By collecting data of different dimensions, diversified data support can be provided for the subsequent calculation of the compaction degree in different areas during the construction process, thereby improving the reliability and accuracy of the calculation results, and further ensuring that the system can make accurate judgments on whether the compaction effect of different areas is qualified in the future, and ensuring that the intelligent scheduling module can formulate appropriate intelligent scheduling adjustment plans according to the compaction degree information of different areas, thereby improving construction efficiency and compaction quality.

[0068] The estimated calculation process of the data calculation unit includes:

[0069] When a compaction operation is completed;

[0070] By formula Calculate the estimated compaction degree δ in the i-th area during construction i ;

[0071] Among them, x is any roller in the group of rollers, k is the total number of rollers in the group of rollers, i is any area in the construction path, pds i is the slope area in the ith region, pds b For pds i The standard value of pdjd can be set based on the allowable error in the empirical data. i is the slope angle in the ith region, ql i is the slope curvature in the i-th region, ql y For preset curvature, pdjd y is the preset slope angle, γ is the error influence coefficient, which can be set according to empirical fitting, pz i is the flatness of the ith region, pz y is the preset flatness, pz b For pz iThe standard value of f can be selected and set according to the allowable error in empirical data. L (x) is a defined function, if f L (x)>0, then f L (x)=(x), if f L (x)<0, then f L (x) = 0, t xi is the compaction loss coefficient of the x-th roller in the i-th area, f j is the first adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the compaction degree is obtained based on the test data. Q1 and Q2 are the first weight coefficients, which can be set based on empirical fitting;

[0072] Through the above technical solution, this embodiment provides an estimated compaction degree δ in the i-th area during the construction process: i , can be obtained by formula Calculated, where The average compaction loss coefficient of all rollers in the i-th area can be calculated. Therefore, when there is no flat slope in the i-th area during construction, or there is a flat slope but the slope area, slope angle and slope curvature are smaller, and the average compaction loss coefficient of all rollers in the i-th area is smaller, and the flatness of the i-th area is higher, the estimated compaction degree δ in the i-th area during construction is i The larger the value, the higher the compaction quality in the ith area. On the contrary, when there is a flat slope in the ith area during construction and the slope area, slope angle, slope curvature and the average compaction loss coefficient of all rollers in the ith area are larger, and the flatness of the ith area is lower, the estimated compaction degree δ in the ith area during construction is i The smaller it is, the poorer the compaction quality in the i-th area;

[0073] Through such a setting, the compaction quality in the i-th area can be evaluated based on the calculation result of the estimated compaction degree in the i-th area during the construction process. The integration of diversified data can improve the accuracy and reliability of the calculation results, ensuring that the system can make accurate assessments and judgments on the compaction quality in the i-th area, thereby facilitating the subsequent intelligent scheduling module to schedule and adjust the roller.

[0074] The analysis process of the data analysis unit includes:

[0075] By calculating the estimated compaction degree δ in all areas during construction i Respectively with the preset compaction degree δ u Make a comparison;

[0076] If all δ iBoth are greater than δ u , the system determines that the compaction degree of each area in the current compaction operation is high and the compaction quality is qualified, and there is no need to dispatch additional rollers;

[0077] If any δ i Less than δ u , the system determines that there is a low compaction zone in the area during the compaction operation, so it determines that the compaction quality of the area is unqualified, and dispatches the roller through the intelligent dispatch module;

[0078] Through the above technical solution, this embodiment calculates the estimated compaction degree δ in all areas during the construction process. i Respectively with the preset compaction degree δ u By comparing, this comparison method can accurately judge the compaction degree of each area in the current compaction operation, thereby judging the compaction quality of each area, and when it is judged that the compaction quality of a certain area is unqualified, the roller is promptly dispatched through the intelligent dispatching module to ensure the subsequent compaction quality of the area, thereby avoiding the situation where the compaction quality of the area with poor compaction is unqualified after the construction is completed due to the failure to timely discover the different compaction degrees of different areas and fail to adjust the dispatch of the roller, thereby ensuring the efficiency of the construction and the safety and quality of the road.

[0079] The estimated calculation process of the data calculation unit also includes:

[0080] By formula Calculate the compaction loss coefficient t of the x-th roller in the i-th area xi ;

[0081] Among them, v xi is the moving speed of the x-th roller in the ith area, v y is the preset moving speed, xi is the amplitude of the x-th roller in the ith region, zd y is the preset amplitude, ρ i is the environmental impact coefficient of the ith region, zl x is the weight of the x-th roller, zl b is the preset weight of the roller, θ is the influence coefficient of compaction passes, which is set based on empirical fitting;

[0082] Through the above technical solution, this embodiment provides the compaction loss coefficient t of the x-th roller in the i-th area: xi , can be obtained by formula It is obvious that when the moving speed of the x-th roller in the i-th area is greater than the preset moving speed, the amplitude of the x-th roller in the i-th area is smaller than the preset amplitude, and the weight of the x-th roller is smaller, then the compaction loss coefficient t of the x-th roller in the i-th area is xi The larger the value, the worse the compaction quality of the roller is. On the contrary, when the moving speed of the x-th roller in the ith area is closer to the preset moving speed, the amplitude of the x-th roller in the ith area is closer to the preset amplitude, and the weight of the x-th roller is greater, the compaction loss coefficient t of the x-th roller in the ith area is xi The smaller it is, the higher the compaction quality of the roller is in this case;

[0083] By calculating the compaction loss coefficient of the x-th roller in the ith area, accurate and diversified data support can be provided for calculating the estimated compaction degree in the ith area during the construction process, thereby improving the accuracy and reliability of the calculation results of the estimated compaction degree in the ith area during the construction process, and then improving the accuracy of the judgment results on whether the compaction quality of each area is qualified, ensuring that the abnormal compaction degree of a certain area is discovered in time and the roller is dispatched in time to ensure the compaction quality of the paving layer.

[0084] The estimated calculation process of the data calculation unit also includes:

[0085] By formula Calculate the environmental impact coefficient ρ of the i-th area i ;

[0086] Among them, lq i is the asphalt temperature of the ith region, hj i is the ambient temperature of the ith region, ylj xi is the rolling wheel temperature of the x-th roller in the ith zone, lq y is the preset asphalt temperature, f x is the second adjustment coefficient comparison table function. According to the empirical data (hj i +ylj xi The influence of the range of values ​​of ) on the asphalt temperature is based on the test data, sd i is the humidity in the ith region, sd b sd i The standard value of , which can be selected and set according to the allowable error in the empirical data, z1 and z2 are the second weight coefficients, which can be set according to the empirical data fitting;

[0087] Through the above technical solution, this embodiment provides the environmental impact coefficient ρ of the i-th area i, can be obtained by formula It is calculated that, obviously, when the asphalt temperature and air humidity of the ith area are higher, and the ambient temperature of the ith area and the rolling wheel temperature of the x-th roller in the ith area are higher, the environmental impact coefficient of the ith area is higher, indicating that the current environment can improve the compaction effect of the roller; conversely, when the asphalt temperature and air humidity of the ith area are lower, and the ambient temperature of the ith area and the rolling wheel temperature of the x-th roller in the ith area are lower, the environmental impact coefficient of the ith area is lower, indicating that the compaction effect of the roller in the current environment is not ideal. By such a setting, the accuracy of the calculation of the compaction loss coefficient of the x-th roller in the ith area can be improved, thereby ensuring the reliability of its data.

[0088] The scheduling process of the intelligent scheduling module includes:

[0089] The estimated compaction degree δ of the area judged as unqualified compaction quality i Compare with the adjustment interval [δ1, δ2];

[0090] When δ i When >δ2, the compaction speed and frequency are adjusted to obtain better compaction effect;

[0091] When δ i ∈[δ1,δ2], the compaction degree can be improved by adjusting the compaction times of the scheduled roller;

[0092] When δ i When the pressure is less than δ1, the method of local enhanced compaction is adopted, such as dispatching a small roller or a vibratory rammer for additional compaction;

[0093] Through the above technical solution, the intelligent scheduling module in this embodiment is used by calculating the estimated compaction degree δ of the area judged as unqualified compaction quality. i By comparing with the adjustment interval [δ1, δ2], through such a setting, the current compaction defect of the unqualified area can be graded according to the estimated compaction degree of the unqualified area, and different roller scheduling adjustment plans can be formulated according to the different levels of compaction defect conditions. Not only can the roller be scheduled in time to ensure the compaction quality of the paving layer, but also the continuity and efficiency of the construction process can be improved by formulating a suitable scheduling method, thereby improving the construction efficiency and the compaction quality of the paving layer.

[0094] See also Figure 2 As shown, a method for dispatching a group of intelligent compactors for highway pavement construction comprises:

[0095] S1: The road modeling and division module automatically plans the optimal construction path based on road information and divides the construction path into multiple areas;

[0096] S2: Collecting environmental information of the construction site, operating status data of different rollers in different areas, and paving layer image data through the data acquisition module;

[0097] S3: using the data calculation unit to estimate and calculate the compaction degree in different areas during the construction process according to the data information collected by the data collection module;

[0098] S4: Compare the compaction degree in different areas during the construction process with the preset compaction degree through the data analysis unit, and judge whether the compaction effect of different areas is qualified according to the comparison result;

[0099] S5: When it is determined that the compaction effect of a certain area is unsatisfactory, the roller is intelligently dispatched through the intelligent dispatching module;

[0100] Through the above technical scheme, this embodiment provides a method for scheduling a group of intelligent road rollers for highway pavement construction. First, the road modeling and division module automatically plans the optimal construction path according to the road information, and divides the construction path into multiple areas. Then, the data acquisition module respectively collects the environmental information of the construction site, the operating status data of different rollers in different areas, and the paving layer image data. After that, the data calculation unit estimates the compaction degree in different areas during the construction process according to the data information collected by the data acquisition module, and the data analysis unit compares the compaction degree in different areas during the construction process with the preset compaction degree, and judges whether the compaction effect of different areas is qualified according to the comparison results. When it is judged that the compaction effect of a certain area is unqualified, the intelligent scheduling module performs intelligent scheduling of the road roller.

[0101] Through such a setting, not only can the compaction degree in different areas during the construction process be estimated and calculated in combination with diversified data to improve the accuracy and reliability of the calculation results, but also the compaction degree in different areas during the construction process can be compared with the preset compaction degree through the data analysis unit, so as to make accurate judgments on the compaction effects of different areas. At this time, the intelligent scheduling module will formulate different scheduling adjustment plans for the compaction degree of areas judged to have unqualified compaction effects, so as to realize timely scheduling of the roller to ensure the compaction quality of the paving layer.

[0102] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent spreading and compacting machine group dispatching system for highway pavement construction, characterized in that: The system comprises: The road modeling and division module is used to automatically plan the optimal construction path based on road information and divide the construction path into multiple areas; A data acquisition module, including an environment acquisition unit, a roller status acquisition unit and a paving layer image acquisition unit, wherein the environment acquisition unit is used to acquire environmental information of the construction site; The roller status collection unit is used to collect the operating status data of different rollers in different areas; The paving layer image acquisition unit is used to take an image of the paving layer through a camera and identify data in the image information; The data processing module includes a data calculation unit and a data analysis unit, wherein the data calculation unit is used to estimate and calculate the compaction degree in different areas during the construction process according to the data information collected by the data collection module; The data analysis unit is used to compare the compaction degree in different areas during the construction process with the preset compaction degree, and judge whether the compaction effect of different areas is qualified according to the comparison result; The intelligent scheduling module is used to intelligently schedule the roller when it is judged that the compaction effect in a certain area is unsatisfactory.

2. The intelligent road pavement construction machine group dispatching system according to claim 1 is characterized in that: The data collected by the environment collection unit include: paving layer temperature, temperature and humidity in the construction site; The data collected by the roller state collection unit include: the moving speed, amplitude and rolling wheel temperature of the roller in different areas; The data collected by the paving layer image collection unit include: the flatness, slope angle, slope area and slope curvature of the paving layer in different areas.

3. The intelligent road pavement construction machine group dispatching system according to claim 2 is characterized in that: The estimated calculation process of the data calculation unit includes: When a compaction operation is completed; By formula Calculate the estimated compaction degree δ in the i-th area during construction i ; Among them, x is any roller in the group of rollers, k is the total number of rollers in the group of rollers, i is any area in the construction path, pds i is the slope area in the ith region, pds b For pds i The standard value of pdjd i is the slope angle in the ith region, ql i is the slope curvature in the i-th region, ql y For preset curvature, pdjd y is the preset slope angle, γ is the error influence coefficient, pz i is the flatness of the ith region, pz y is the preset flatness, pz b For pz i The standard value of f L (x) is a defined function, if f L (x)>0, then f L (x)=(x), if f L (x)<0, then f L (x) = 0, t xi is the compaction loss coefficient of the x-th roller in the ith area, f j is the first adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the compaction degree is obtained based on the test data, and Q1 and Q2 are the first weight coefficients.

4. The intelligent road pavement construction machine group dispatching system according to claim 3 is characterized in that: The analysis process of the data analysis unit includes: By calculating the estimated compaction degree δ in all areas during construction i Respectively with the preset compaction degree δ u Make a comparison; If all δ i Both are greater than δ u , the system determines that the compaction degree of each area in the current compaction operation is high and the compaction quality is qualified, and there is no need to dispatch additional rollers; If any δ i Less than δ u The system determines that there is a low compaction zone in the area during the compaction operation, so it determines that the compaction quality of the area is unqualified, and dispatches the roller through the intelligent scheduling module.

5. The intelligent road pavement construction machine group dispatching system according to claim 4 is characterized in that: The estimated calculation process of the data calculation unit also includes: By formula Calculate the compaction loss coefficient t of the x-th roller in the i-th area xi ; Among them, v xi is the moving speed of the x-th roller in the ith area, v y is the preset moving speed, xi is the amplitude of the x-th roller in the ith region, zd y is the preset amplitude, ρ i is the environmental impact coefficient of the ith region, zl x is the weight of the x-th roller, zl y is the preset weight of the roller, and θ is the influence coefficient of compaction passes, which is set based on empirical fitting.

6. The intelligent road pavement construction machine group dispatching system according to claim 5 is characterized in that: The estimated calculation process of the data calculation unit also includes: By formula Calculate the environmental impact coefficient ρ of the i-th area i ; Among them, lq i is the asphalt temperature of the ith region, hj i is the ambient temperature of the ith region, ylj xi is the rolling wheel temperature of the x-th roller in the ith zone, lq y is the preset asphalt temperature, f x is the second adjustment coefficient comparison table function. According to the empirical data (hj i +ylj xi The influence of the range of values ​​of ) on the asphalt temperature is based on the test data, sd i is the humidity in the ith region, sd b sd i The standard value of z1 and z2 are the second weight coefficients.

7. The intelligent road pavement construction machine group dispatching system according to claim 4 is characterized in that: The scheduling process of the intelligent scheduling module includes: The estimated compaction degree δ of the area judged as unqualified compaction quality i Compare with the adjustment interval [δ1, δ2]; When δ i When >δ2, the compaction speed and frequency are adjusted to obtain better compaction effect; When δ i ∈[δ1,δ2], the compaction degree can be improved by adjusting the compaction times of the scheduled roller; When i <d1 time, it can be processed by local pressure strengthening method, such as adjusting small pressure machine or vibration ramming to supplement pressure.

8. A method for dispatching a group of intelligent compactors for highway pavement construction, characterized in that: The method adopts a smart spreading and compacting machine group dispatching system for highway pavement construction as described in claims 1-7, and the method comprises: S1: The road modeling and division module automatically plans the optimal construction path based on road information and divides the construction path into multiple areas; S2: Collecting environmental information of the construction site, operating status data of different rollers in different areas, and paving layer image data through the data acquisition module; S3: using the data calculation unit to estimate and calculate the compaction degree in different areas during the construction process according to the data information collected by the data collection module; S4: Compare the compaction degree in different areas during the construction process with the preset compaction degree through the data analysis unit, and judge whether the compaction effect of different areas is qualified according to the comparison result; S5: When it is determined that the compaction effect of a certain area is unsatisfactory, the road roller is intelligently dispatched through the intelligent dispatching module.

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