An intelligent analysis and control system for construction machinery operations based on Internet of Things technology

Abstract

The present invention discloses an intelligent analysis and control system for engineering machinery operations based on Internet of Things technology, including a damaged road type judgment module, a damaged road damage information acquisition module, a damaged road damage degree analysis module, a damaged road repair sequence analysis module, a damaged road repair area analysis module, a damaged road repair depth analysis module, a milling machine road repair execution module and an information storage library. By obtaining the repair sequence of damaged roads corresponding to each type, and repairing the road surface according to the corresponding repair sequence, the limitation of the current technology of sequential maintenance according to the road route is broken. At the same time, by giving priority to repairing severely damaged roads, the timeliness of road maintenance on severely damaged roads is increased, the safety and comfort of urban residents' driving are improved, and the safety of residents' travel is greatly improved. More importantly, the effectiveness of road maintenance is enhanced and people's sense of happiness is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering machinery analysis and control, and in particular to an intelligent analysis and control system for engineering machinery operations based on Internet of Things technology. Background Art

[0002] With the rapid development of public transportation, the number of highway infrastructure has increased dramatically. In order to keep road traffic safe, comfortable and fast, they need to be maintained in a timely, effective and high-quality manner.

[0003] With good market prospects and strong market demand, the era of pavement maintenance equipment has arrived. As an indispensable equipment for mechanized road maintenance, pavement milling machines need to be analyzed and controlled comprehensively, accurately, efficiently and intelligently.

[0004] At present, the road maintenance process is mainly based on the road maintenance personnel manually surveying the damaged road surface and then performing maintenance operations through milling machines. Obviously, the current technology still has the following disadvantages:

[0005] At present, before the milling machine can maintain the damaged road surface, it is highly dependent on personnel and needs personnel to conduct surveys in advance. However, the manual survey method is not accurate enough and takes a lot of time. The monitoring process is relatively cumbersome and cannot improve the efficiency of road maintenance. At the same time, it cannot improve the targetedness of the milling machine's work.

[0006] At present, when maintaining damaged roads, milling machines mainly carry out maintenance in sequence according to the road routes. They do not give priority to damaged roads for maintenance based on the severity of damage to the damaged roads. As a result, severely damaged roads cannot receive timely road maintenance, which reduces the safety and comfort of urban residents and fails to improve the effectiveness of road maintenance.

[0007] At present, in the process of maintaining damaged roads, milling machines mainly carry out repairs according to the repair area and repair depth roughly set by personnel. This cannot guarantee the rationality and accuracy of the planning of the working area and working depth of the milling machine, and it is also easy to cause unnecessary damage to good road areas, thereby increasing the workload of the milling machine. At the same time, rough operations cannot guarantee the maintenance effect and maintenance cycle of the road. Summary of the invention

[0008] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an intelligent analysis and control system for engineering machinery operations based on Internet of Things technology, which can effectively solve the problems involved in the above-mentioned background technology.

[0009] The purpose of the present invention can be achieved by the following technical solutions:

[0010] An intelligent analysis and control system for construction machinery operations based on Internet of Things technology, comprising:

[0011] A damaged road surface type judgment module is used to collect images of each damaged road surface through an intelligent high-definition camera, and judge the type of each damaged road surface based on the image of each damaged road surface. The types include cracks and depressions, and obtain each damaged road surface of each type, and at the same time, number each damaged road surface of each type;

[0012] A damaged road surface damage information acquisition module is used to acquire damage information of damaged roads of various types through intelligent collection equipment;

[0013] A damaged road surface damage degree analysis module is used to analyze the damage degree of each damaged road surface according to the damage information of each damaged road surface corresponding to each type, and obtain the damage index of each damaged road surface corresponding to each type, wherein the damaged road surface damage degree analysis module includes a cracked road surface damage degree analysis unit and a sunken road surface damage degree analysis unit;

[0014] A damaged road repair sequence analysis module is used to arrange the damage indexes of each type of damaged road surface in descending order, obtain the order of the damaged road surfaces of each type, and repair the damaged road surfaces in the corresponding order;

[0015] A damaged road surface repair area analysis module is used to analyze the repair area of ​​each damaged road surface of each type to obtain the repair area of ​​each damaged road surface of each type, wherein the damaged road surface repair area analysis module includes a cracked road surface repair area analysis unit and a sunken road surface repair area analysis unit;

[0016] A damaged road surface repair depth analysis module is used to analyze the repair depth of each damaged road surface of each type, and obtain the repair depth of each damaged road surface corresponding to each type;

[0017] A milling machine road surface finishing execution module is used to perform road surface finishing on the finishing area and finishing depth of each damaged road surface of each type by a milling machine;

[0018] An information repository is used to store the allowable crack length, allowable crack area and allowable crack depth corresponding to cracked pavement, store the allowable depression volume, allowable depression area and allowable depression depth corresponding to depressed pavement, store the crack depth range corresponding to each crack repair depth, and store the depression depth range corresponding to each depression repair depth.

[0019] As a further improvement of the present invention, the damaged road surfaces of each type are numbered, and the specific numbering is: each cracked road surface is numbered 1, 2, ..., i, ..., n in a preset order, and each sunken road surface is numbered 1, 2, ..., j, ..., m in a preset order.

[0020] As a further improvement of the present invention, the intelligent acquisition equipment includes a crack depth meter and an area meter.

[0021] In a specific embodiment, the crack depth meter is used for crack depth detection and is also a special intelligent detector for detecting the depth of cracks on the surface of non-metallic materials such as concrete.

[0022] The area measuring instrument is a perfect combination of a high-precision GPS positioning system, an accurate area calculation method and an intelligent handheld computer system. It is suitable for area measurement in various venues. It can obtain data such as measured area, perimeter, distance, slope, etc. in one measurement.

[0023] As a further improvement of the present invention, the damage information of damaged roads of various types is obtained by intelligent collection equipment, and the specific acquisition process is as follows:

[0024] The crack area in each cracked pavement is collected by an area measuring instrument in an intelligent collection device, and detection points are evenly arranged at the cracks in each cracked pavement according to a preset distance. Then, the crack depth of each detection point in each cracked pavement is collected by a crack depth meter in the intelligent collection device, and the maximum crack depth is selected and used as the crack depth corresponding to each cracked pavement;

[0025] The area of ​​each sunken road surface is collected by the area measuring instrument in the intelligent collection equipment, and detection points are evenly arranged at the depressions in each sunken road surface according to the preset distance. Then, the depression depth of each detection point in each sunken road surface is collected by the crack depth meter, and the maximum depression depth is screened out and used as the depression depth corresponding to each sunken road surface.

[0026] As a further improvement of the present invention, the cracked pavement damage degree analysis unit is used to analyze the damage degree of each cracked pavement, and the specific analysis process is as follows:

[0027] Extracting images of each cracked road surface from the images of each damaged road surface, and obtaining crack lengths corresponding to each cracked road surface;

[0028] The crack length, crack area and crack depth corresponding to each cracked pavement are comprehensively analyzed to obtain the damage index corresponding to each cracked pavement. The specific calculation formula is: φ i It is expressed as the damage index corresponding to the i-th cracked pavement, l i 、si 、h i They respectively represent the crack length, crack area and crack depth corresponding to the i-th cracked pavement, l′, s′ and h′ respectively represent the allowable crack length, allowable crack area and allowable crack depth, a1, a2 and a3 respectively represent the influencing factors corresponding to the preset crack length, crack area and crack depth.

[0029] As a further improvement of the present invention, the sunken road surface damage degree analysis unit is used to analyze the damage degree of each sunken road surface, and the specific analysis process is as follows:

[0030] Extracting images of each sunken road surface from the images of each damaged road surface, and obtaining the sunken volume corresponding to each sunken road surface;

[0031] The corresponding depression volume, depression area and depression depth of each depression road surface are comprehensively analyzed to obtain the damage index corresponding to each depression road surface. The specific calculation formula is: It is expressed as the damage index corresponding to the jth sunken road surface, V j , S j , H j They respectively represent the depression volume, depression area and depression depth corresponding to the j-th depression road surface, V′, S′ and H′ respectively represent the allowed depression volume, allowed depression area and allowed depression depth, b1, b2 and b3 respectively represent the influencing factors corresponding to the preset depression volume, depression area and depression depth.

[0032] As a further improvement of the present invention, the cracked pavement repair area analysis unit is used to analyze the repair area of ​​the cracked pavement, and the specific analysis is as follows:

[0033] Extracting images of each cracked road surface from the images of each damaged road surface, and obtaining crack endpoints corresponding to each direction in each cracked road surface, and recording the crack endpoints in each direction as an upper crack endpoint, a left crack endpoint, a right crack endpoint, and a lower crack endpoint in a preset order;

[0034] The upper crack endpoint and the lower crack endpoint are used as base points to construct the upper crack horizontal reference line and the lower crack horizontal reference line. The left crack endpoint and the right crack endpoint are used as base points to construct the left crack horizontal reference line and the right crack horizontal reference line. Based on the upper crack horizontal reference line, the lower crack horizontal reference line, the left crack horizontal reference line and the right crack horizontal reference line, a crack rectangle is constructed.

[0035] The side length of each crack rectangle is extended according to the set extension ratio, and the extended crack rectangle is recorded as the crack pre-repair rectangle. At the same time, the area of ​​the crack pre-repair rectangle corresponding to each cracked pavement is obtained, and the area of ​​the crack pre-repair rectangle corresponding to each cracked pavement is recorded as the repair area corresponding to each cracked pavement.

[0036] As a further improvement of the present invention, the sunken road surface repair area analysis unit is used to analyze the repair area of ​​the sunken road surface, and the specific analysis is as follows:

[0037] Extracting images of each sunken road surface from the images of each damaged road surface, and obtaining the center point position of the contour of the sunken part in each sunken road surface, projecting the center point of the contour of the sunken part in each sunken road surface into the edge of the sunken part to obtain each center projection point, and then obtaining the distance between the center point of the contour of the sunken part in each sunken road surface and each center projection point, and screening out the maximum distance, so as to use it as the sunken mark distance corresponding to each sunken road surface;

[0038] A marking square is constructed with the center point of each depression in each depression road surface as the marking center point, wherein the side length of the marking square = 2*depression marking distance;

[0039] The area of ​​the marked square corresponding to each sunken road surface is obtained and used as the repair area corresponding to each sunken road surface.

[0040] As a further improvement of the present invention, the repair depth analysis of each type of damaged road surface is performed, and the specific analysis is as follows:

[0041] Matching the crack depth corresponding to each cracked pavement with the crack depth range corresponding to each crack repair depth stored in the information storage repository to obtain the crack repair depth corresponding to each cracked pavement;

[0042] The depression depth corresponding to each depression road surface is matched with the depression depth range corresponding to each depression repair depth stored in the information storage library to obtain the depression repair depth corresponding to each depression road surface.

[0043] As a further improvement of the present invention, the milling machine road repair execution module is also used to further analyze the damaged road repair sequence, and the specific analysis process is as follows:

[0044] Extracting the cracked road surface ranked first from the rankings corresponding to each cracked road surface, and extracting the sunken road surface ranked first from the rankings corresponding to each sunken road surface;

[0045] Compare the damage index corresponding to the first-ranked cracked road surface with the damage index corresponding to the first-ranked sunken road surface. If the damage index corresponding to the first-ranked cracked road surface is greater than the damage index corresponding to the first-ranked sunken road surface, the cracked road surface will be repaired first. If the damage index corresponding to the first-ranked cracked road surface is less than or equal to the damage index corresponding to the first-ranked sunken road surface, the sunken road surface will be repaired first.

[0046] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0047] The present invention identifies the type of damaged road surface through an intelligent high-definition camera, and according to the type of the damaged road surface, collects damage information of the damaged road surface through an intelligent collection device, and analyzes the damage degree corresponding to the type of the damaged road surface, which makes up for the deficiency that manual survey is still needed in the current milling machine operation. It not only improves the accuracy of the analysis result, saves a lot of road monitoring time and road operation time, but also improves the road maintenance efficiency. More importantly, it improves the targetedness of the milling machine's work, so that the utilization rate of the milling machine is greatly increased.

[0048] The present invention extracts the cracked road surface that ranks first from the ranking corresponding to each cracked road surface and extracts the sunken road surface that ranks first from the ranking corresponding to each sunken road surface, and compares them, so as to obtain the corresponding repair order of the damaged road surfaces, breaking the limitation of the current technology of maintaining roads in sequence according to the route, giving priority to repairing severely damaged road surfaces, greatly increasing the timeliness of road maintenance on severely damaged roads, improving the safety and comfort of urban residents, greatly improving the convenience of residents' travel, and more importantly, enhancing the effectiveness of road maintenance.

[0049] The present invention uses an intelligent system to perform intelligent analysis on the repair area and repair depth of the damaged road surface, thereby ensuring the accuracy of the analysis results, effectively avoiding errors caused by manual measurement and calculation, and at the same time ensuring the rationality and accuracy of the operating area and operating depth of the milling machine, avoiding unnecessary damage to good road surface areas caused by the current milling machine when maintaining the damaged road surface, thereby reducing the workload of the milling machine. More importantly, through precise operations, the maintenance effect and maintenance cycle of the road can be effectively guaranteed, and the service life of the milling machine can be extended to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0051] Figure 1This is a schematic diagram of the connection of the system modules of the present invention.

[0052] Figure 2 It is a schematic diagram of the connection of the damaged road surface damage degree analysis module of the present invention.

[0053] Figure 3 It is a connection diagram of the damaged road repair area analysis module of the present invention.

[0054] Figure 4 Schematic diagram of crack orientation of the present invention.

[0055] Figure 5 It is a schematic diagram of the recessed trimming area of ​​the present invention. DETAILED DESCRIPTION

[0056] 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.

[0057] Reference Figure 1 As shown, the present invention provides an intelligent analysis and control system for engineering machinery operations based on the Internet of Things technology, including a damaged road type judgment module, a damaged road damage information acquisition module, a damaged road damage degree analysis module, a damaged road repair sequence analysis module, a damaged road repair area analysis module, a damaged road repair depth analysis module, a milling machine road repair execution module and an information storage library.

[0058] The damaged road type judgment module is connected to the damaged road damage information acquisition module, the damaged road damage information acquisition module is connected to the damaged road damage degree analysis module, the damaged road damage degree analysis module is respectively connected to the damaged road repair sequence analysis module and the information storage library, the damaged road repair sequence analysis module is connected to the milling machine road repair execution module, and the damaged road repair area analysis module and the damaged road repair depth analysis module are respectively connected to the milling machine road repair execution module and the information storage library.

[0059] The damaged road surface type judgment module is used to collect images of each damaged road surface through an intelligent high-definition camera, and judge the type of each damaged road surface based on the image of each damaged road surface. The types include cracks and depressions, and each damaged road surface of each type is obtained, and each damaged road surface of each type is numbered.

[0060] As a further improvement of the present invention, the damaged road surfaces of each type are numbered, and the specific numbering is: each cracked road surface is numbered 1, 2, ..., i, ..., n in a preset order, and each sunken road surface is numbered 1, 2, ..., j, ..., m in a preset order.

[0061] In a specific embodiment, the present invention identifies the type of damaged road surface through an intelligent high-definition camera, and according to the type of the damaged road surface, collects damage information of the damaged road surface through an intelligent collection device, and analyzes the degree of damage corresponding to the type of the damaged road surface. This makes up for the deficiency that manual survey is still required in the current milling machine operation, which not only improves the accuracy of the analysis results, saves a lot of road monitoring time and road operation time, but also improves the road maintenance efficiency. More importantly, it improves the targetedness of the milling machine's work, thereby greatly increasing the utilization rate of the milling machine.

[0062] The damaged road surface damage information acquisition module is used to acquire damage information of each damaged road surface of each type through intelligent collection equipment.

[0063] As a further improvement of the present invention, the intelligent acquisition equipment includes a crack depth meter and an area meter.

[0064] As a further improvement of the present invention, the damage information of damaged roads of various types is obtained by intelligent collection equipment, and the specific acquisition process is as follows:

[0065] The crack area in each cracked pavement is collected by an area measuring instrument in an intelligent collection device, and detection points are evenly arranged at the cracks in each cracked pavement according to a preset distance. Then, the crack depth of each detection point in each cracked pavement is collected by a crack depth meter in the intelligent collection device, and the maximum crack depth is selected and used as the crack depth corresponding to each cracked pavement;

[0066] The area of ​​each sunken road surface is collected by the area measuring instrument in the intelligent collection equipment, and detection points are evenly arranged at the depressions in each sunken road surface according to the preset distance. Then, the depression depth of each detection point in each sunken road surface is collected by the crack depth meter, and the maximum depression depth is screened out and used as the depression depth corresponding to each sunken road surface.

[0067] It should be noted that the purpose of using the maximum crack depth in each cracked road surface as the crack depth corresponding to each cracked road surface is to improve the working efficiency of the milling machine on the cracked road surface and to make the repair depth of the cracked road surface more accurate.

[0068] The purpose of using the maximum depression depth in each depression road surface as the depression depth corresponding to each depression road surface is to improve the working efficiency of the milling machine on the depression road surface and to make the finishing depth of the depression road surface more accurate.

[0069] Reference Figure 2 As shown, the damaged road surface damage degree analysis module is used to analyze the damage degree of each damaged road surface according to the damage information corresponding to each damaged road surface of each type, and obtain the damage index corresponding to each damaged road surface of each type, wherein the damaged road surface damage degree analysis module includes a cracked road surface damage degree analysis unit and a sunken road surface damage degree analysis unit.

[0070] As a further improvement of the present invention, the cracked pavement damage degree analysis unit is used to analyze the damage degree of each cracked pavement, and the specific analysis process is as follows:

[0071] Extracting images of each cracked road surface from the images of each damaged road surface, and obtaining crack lengths corresponding to each cracked road surface;

[0072] The crack length, crack area and crack depth corresponding to each cracked pavement are comprehensively analyzed to obtain the damage index corresponding to each cracked pavement. The specific calculation formula is: φ i It is expressed as the damage index corresponding to the i-th cracked pavement, l i 、s i 、h i They respectively represent the crack length, crack area and crack depth corresponding to the i-th cracked pavement, l′, s′ and h′ respectively represent the allowable crack length, allowable crack area and allowable crack depth, a1, a2 and a3 respectively represent the influencing factors corresponding to the preset crack length, crack area and crack depth.

[0073] As a further improvement of the present invention, the sunken road surface damage degree analysis unit is used to analyze the damage degree of each sunken road surface, and the specific analysis process is as follows:

[0074] Extracting images of each sunken road surface from the images of each damaged road surface, and obtaining the sunken volume corresponding to each sunken road surface;

[0075] The corresponding depression volume, depression area and depression depth of each depression road surface are comprehensively analyzed to obtain the damage index corresponding to each depression road surface. The specific calculation formula is: It is expressed as the damage index corresponding to the jth sunken road surface, V j , S j , H jThey respectively represent the depression volume, depression area and depression depth corresponding to the j-th depression road surface, V′, S′ and H′ respectively represent the allowed depression volume, allowed depression area and allowed depression depth, b1, b2 and b3 respectively represent the influencing factors corresponding to the preset depression volume, depression area and depression depth.

[0076] The damaged road repair sequence analysis module is used to arrange the damage index of each damaged road surface corresponding to each type in order from large to small, obtain the ranking of the damaged road surfaces corresponding to each type, and repair the damaged road surfaces in the corresponding order.

[0077] Reference Figure 3 As shown, the damaged road surface repair area analysis module is used to analyze the repair area of ​​each damaged road surface of each type to obtain the repair area corresponding to each damaged road surface of each type, wherein the damaged road surface repair area analysis module includes a cracked road surface repair area analysis unit and a sunken road surface repair area analysis unit.

[0078] As a further improvement of the present invention, the cracked pavement repair area analysis unit is used to analyze the repair area of ​​the cracked pavement, and the specific analysis is as follows:

[0079] Extracting images of each cracked road surface from the images of each damaged road surface, and obtaining crack endpoints corresponding to each direction in each cracked road surface, and recording the crack endpoints in each direction as an upper crack endpoint, a left crack endpoint, a right crack endpoint, and a lower crack endpoint in a preset order;

[0080] The upper crack endpoint and the lower crack endpoint are used as base points to construct the upper crack horizontal reference line and the lower crack horizontal reference line. The left crack endpoint and the right crack endpoint are used as base points to construct the left crack horizontal reference line and the right crack horizontal reference line. Based on the upper crack horizontal reference line, the lower crack horizontal reference line, the left crack horizontal reference line and the right crack horizontal reference line, a crack rectangle is constructed.

[0081] The side length of each crack rectangle is extended according to the set extension ratio, and the extended crack rectangle is recorded as the crack pre-repair rectangle. At the same time, the area of ​​the crack pre-repair rectangle corresponding to each cracked pavement is obtained, and the area of ​​the crack pre-repair rectangle corresponding to each cracked pavement is recorded as the repair area corresponding to each cracked pavement.

[0082] Reference Figure 4 As shown, in a specific embodiment, the upper crack endpoint, the left crack endpoint, the right crack endpoint and the lower crack endpoint are the most protruding points on the upper side of the crack, the left side of the crack, the right side of the crack and the lower side of the crack respectively.

[0083] As a further improvement of the present invention, the sunken road surface repair area analysis unit is used to analyze the repair area of ​​the sunken road surface, and the specific analysis is as follows:

[0084] Extracting images of each sunken road surface from the images of each damaged road surface, and obtaining the center point position of the contour of the sunken part in each sunken road surface, projecting the center point of the contour of the sunken part in each sunken road surface into the edge of the sunken part to obtain each center projection point, and then obtaining the distance between the center point of the contour of the sunken part in each sunken road surface and each center projection point, and screening out the maximum distance, so as to use it as the sunken mark distance corresponding to each sunken road surface;

[0085] Reference Figure 5 As shown, a marking square is constructed with the center point of each depression in each depression road surface as the marking center point, wherein the side length of the marking square = 2*depression marking distance;

[0086] The area of ​​the marked square corresponding to each sunken road surface is obtained and used as the repair area corresponding to each sunken road surface.

[0087] The damaged road surface repair depth analysis module is used to analyze the repair depth of each damaged road surface of each type to obtain the repair depth of each damaged road surface of each type.

[0088] As a further improvement of the present invention, the repair depth analysis of each type of damaged road surface is performed, and the specific analysis is as follows:

[0089] Matching the crack depth corresponding to each cracked pavement with the crack depth range corresponding to each crack repair depth stored in the information storage repository to obtain the crack repair depth corresponding to each cracked pavement;

[0090] The depression depth corresponding to each depression road surface is matched with the depression depth range corresponding to each depression repair depth stored in the information storage library to obtain the depression repair depth corresponding to each depression road surface.

[0091] In a specific embodiment, the present invention uses an intelligent system to perform intelligent analysis on the repair area and repair depth of the damaged road surface, thereby ensuring the accuracy of the analysis results, effectively avoiding errors caused by manual measurement and calculation, and ensuring the rationality and accuracy of the operating area and operating depth of the milling machine, thereby avoiding unnecessary damage to good road surface areas caused by the current milling machine when maintaining the damaged road surface, thereby reducing the workload of the milling machine. More importantly, through precise operations, the maintenance effect and maintenance cycle of the road can be effectively guaranteed, and the service life of the milling machine can be extended to a certain extent.

[0092] The milling machine road surface finishing execution module is used to perform road surface finishing on the finishing area and finishing depth of each damaged road surface of each type by means of a milling machine.

[0093] As a further improvement of the present invention, the milling machine road repair execution module is also used to further analyze the damaged road repair sequence, and the specific analysis process is as follows:

[0094] Extracting the cracked road surface ranked first from the rankings corresponding to each cracked road surface, and extracting the sunken road surface ranked first from the rankings corresponding to each sunken road surface;

[0095] Compare the damage index corresponding to the first-ranked cracked road surface with the damage index corresponding to the first-ranked sunken road surface. If the damage index corresponding to the first-ranked cracked road surface is greater than the damage index corresponding to the first-ranked sunken road surface, the cracked road surface will be repaired first. If the damage index corresponding to the first-ranked cracked road surface is less than or equal to the damage index corresponding to the first-ranked sunken road surface, the sunken road surface will be repaired first.

[0096] In a specific embodiment, the present invention extracts the cracked road surface that ranks first from the ranking corresponding to each cracked road surface and extracts the sunken road surface that ranks first from the ranking corresponding to each sunken road surface, and compares them to derive the repair order corresponding to the damaged road surfaces. This breaks the limitation of the current technology of maintaining roads in sequence according to road routes, gives priority to repairing severely damaged road surfaces, greatly increases the timeliness of road maintenance on severely damaged roads, improves the safety and comfort of urban residents, greatly improves the convenience of residents' travel, and more importantly, enhances the effectiveness of road maintenance and improves people's sense of happiness.

[0097] In a specific embodiment, since a sunken road surface is usually an irregular shape with a certain depth of collapse, it greatly affects the travel of residents and greatly reduces the safety of the road. Therefore, if the damage index corresponding to the first-ranked cracked road surface is equal to the damage index corresponding to the first-ranked sunken road surface, the sunken road surface will be repaired first.

[0098] An information repository is used to store the allowable crack length, allowable crack area and allowable crack depth corresponding to cracked pavement, store the allowable depression volume, allowable depression area and allowable depression depth corresponding to depressed pavement, store the crack depth range corresponding to each crack repair depth, and store the depression depth range corresponding to each depression repair depth.

[0099] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent analysis and control system for engineering machinery operations based on Internet of Things technology, characterized in that: include: A damaged road surface type judgment module is used to collect images of each damaged road surface through an intelligent high-definition camera, and judge the type of each damaged road surface based on the image of each damaged road surface. The types include cracks and depressions, and obtain each damaged road surface of each type, and at the same time, number each damaged road surface of each type; A damaged road surface damage information acquisition module is used to acquire damage information of damaged roads of various types through intelligent collection equipment; A damaged road surface damage degree analysis module is used to analyze the damage degree of each damaged road surface according to the damage information of each damaged road surface corresponding to each type, and obtain the damage index of each damaged road surface corresponding to each type, wherein the damaged road surface damage degree analysis module includes a cracked road surface damage degree analysis unit and a sunken road surface damage degree analysis unit; A damaged road repair sequence analysis module is used to arrange the damage indexes of each type of damaged road surface in descending order, obtain the order of the damaged road surfaces of each type, and repair the damaged road surfaces in the corresponding order; A damaged road surface repair area analysis module is used to analyze the repair area of ​​each damaged road surface of each type to obtain the repair area of ​​each damaged road surface of each type, wherein the damaged road surface repair area analysis module includes a cracked road surface repair area analysis unit and a sunken road surface repair area analysis unit; A damaged road surface repair depth analysis module is used to analyze the repair depth of each damaged road surface of each type, and obtain the repair depth of each damaged road surface corresponding to each type; A milling machine road surface finishing execution module is used to perform road surface finishing on the finishing area and finishing depth of each damaged road surface of each type by a milling machine; An information repository is used to store the allowable crack length, allowable crack area and allowable crack depth corresponding to cracked pavement, store the allowable depression volume, allowable depression area and allowable depression depth corresponding to depressed pavement, store the crack depth range corresponding to each crack repair depth, and store the depression depth range corresponding to each depression repair depth.

2. According to claim 1, the intelligent analysis and control system for construction machinery operations based on Internet of Things technology is characterized by: The damaged road surfaces of each type are numbered, and the specific numbering is: each cracked road surface is numbered as 1, 2, ..., i, ..., n in a preset order, and each sunken road surface is numbered as 1, 2, ..., j, ..., m in a preset order.

3. According to claim 1, the intelligent analysis and control system for construction machinery operations based on Internet of Things technology is characterized by: The intelligent acquisition equipment includes a crack depth meter and an area meter.

4. According to claim 3, the intelligent analysis and control system for construction machinery operations based on Internet of Things technology is characterized by: The damage information of damaged roads of various types is obtained by intelligent collection equipment, and the specific acquisition process is as follows: The crack area in each cracked pavement is collected by an area measuring instrument in an intelligent collection device, and detection points are evenly arranged at the cracks in each cracked pavement according to a preset distance. Then, the crack depth of each detection point in each cracked pavement is collected by a crack depth meter in the intelligent collection device, and the maximum crack depth is selected and used as the crack depth corresponding to each cracked pavement; The area of ​​each sunken road surface is collected by the area measuring instrument in the intelligent collection equipment, and detection points are evenly arranged at the depressions in each sunken road surface according to the preset distance. Then, the depression depth of each detection point in each sunken road surface is collected by the crack depth meter, and the maximum depression depth is screened out and used as the depression depth corresponding to each sunken road surface.

5. According to claim 4, the intelligent analysis and control system for construction machinery operations based on Internet of Things technology is characterized by: The cracked pavement damage degree analysis unit is used to analyze the damage degree of each cracked pavement, and the specific analysis process is as follows: Extracting images of each cracked road surface from the images of each damaged road surface, and obtaining crack lengths corresponding to each cracked road surface; The crack length, crack area and crack depth corresponding to each cracked pavement are comprehensively analyzed to obtain the damage index corresponding to each cracked pavement. The specific calculation formula is: φ i It is expressed as the damage index corresponding to the i-th cracked pavement, l i 、s i 、h i They respectively represent the crack length, crack area and crack depth corresponding to the i-th cracked pavement, l′, s′ and h′ respectively represent the allowable crack length, allowable crack area and allowable crack depth, a1, a2 and a3 respectively represent the influencing factors corresponding to the preset crack length, crack area and crack depth.

6. According to claim 4, the intelligent analysis and control system for construction machinery operations based on Internet of Things technology is characterized by: The sunken road surface damage degree analysis unit is used to analyze the damage degree of each sunken road surface, and the specific analysis process is as follows: Extracting images of each sunken road surface from the images of each damaged road surface, and obtaining the sunken volume corresponding to each sunken road surface; The corresponding depression volume, depression area and depression depth of each depression road surface are comprehensively analyzed to obtain the damage index corresponding to each depression road surface. The specific calculation formula is: It is expressed as the damage index corresponding to the jth sunken road surface, V j , S j , H j They respectively represent the depression volume, depression area and depression depth corresponding to the j-th depression road surface, V′, S′ and H′ respectively represent the allowed depression volume, allowed depression area and allowed depression depth, b1, b2 and b3 respectively represent the influencing factors corresponding to the preset depression volume, depression area and depression depth.

7. The intelligent analysis and control system for construction machinery operations based on Internet of Things technology according to claim 1 is characterized by: The cracked pavement repair area analysis unit is used to analyze the repair area of ​​the cracked pavement, and the specific analysis is as follows: Extracting images of each cracked road surface from the images of each damaged road surface, and obtaining crack endpoints corresponding to each direction in each cracked road surface, and recording the crack endpoints in each direction as an upper crack endpoint, a left crack endpoint, a right crack endpoint, and a lower crack endpoint in a preset order; The upper crack endpoint and the lower crack endpoint are used as base points to construct the upper crack horizontal reference line and the lower crack horizontal reference line. The left crack endpoint and the right crack endpoint are used as base points to construct the left crack horizontal reference line and the right crack horizontal reference line. Based on the upper crack horizontal reference line, the lower crack horizontal reference line, the left crack horizontal reference line and the right crack horizontal reference line, a crack rectangle is constructed. The side length of each crack rectangle is extended according to the set extension ratio, and the extended crack rectangle is recorded as the crack pre-repair rectangle. At the same time, the area of ​​the crack pre-repair rectangle corresponding to each cracked pavement is obtained, and the area of ​​the crack pre-repair rectangle corresponding to each cracked pavement is recorded as the repair area corresponding to each cracked pavement.

8. The intelligent analysis and control system for construction machinery operations based on Internet of Things technology according to claim 1 is characterized by: The sunken road surface repair area analysis unit is used to analyze the repair area of ​​the sunken road surface, and the specific analysis is as follows: Extracting images of each sunken road surface from the images of each damaged road surface, and obtaining the center point position of the contour of the sunken part in each sunken road surface, projecting the center point of the contour of the sunken part in each sunken road surface into the edge of the sunken part to obtain each center projection point, and then obtaining the distance between the center point of the contour of the sunken part in each sunken road surface and each center projection point, and screening out the maximum distance, so as to use it as the sunken mark distance corresponding to each sunken road surface; A marking square is constructed with the center point of each depression in each depression road surface as the marking center point, wherein the side length of the marking square = 2*depression marking distance; The area of ​​the marked square corresponding to each sunken road surface is obtained and used as the repair area corresponding to each sunken road surface.

9. The intelligent analysis and control system for construction machinery operations based on Internet of Things technology according to claim 1 is characterized by: The repair depth analysis of each type of damaged road surface is as follows: Matching the crack depth corresponding to each cracked pavement with the crack depth range corresponding to each crack repair depth stored in the information storage repository to obtain the crack repair depth corresponding to each cracked pavement; The depression depth corresponding to each depression road surface is matched with the depression depth range corresponding to each depression repair depth stored in the information storage library to obtain the depression repair depth corresponding to each depression road surface.

10. The intelligent analysis and control system for construction machinery operations based on Internet of Things technology according to claim 1 is characterized by: The milling machine road repair execution module is also used to further analyze the damaged road repair sequence, and the specific analysis process is as follows: Extracting the cracked road surface ranked first from the rankings corresponding to each cracked road surface, and extracting the sunken road surface ranked first from the rankings corresponding to each sunken road surface; Compare the damage index corresponding to the first-ranked cracked road surface with the damage index corresponding to the first-ranked sunken road surface. If the damage index corresponding to the first-ranked cracked road surface is greater than the damage index corresponding to the first-ranked sunken road surface, the cracked road surface will be repaired first. If the damage index corresponding to the first-ranked cracked road surface is less than or equal to the damage index corresponding to the first-ranked sunken road surface, the sunken road surface will be repaired first.

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