Building surface pit detection method and roughening equipment

Abstract

The present invention relates to the field of building construction technology, and in particular to a method for detecting pits on a building surface and a roughening device. The detection method includes extracting pit diameter data and pit depth data of a surface to be tested based on three-dimensional model data; determining a judgment strategy based on the pit depth data and a preset standard pit depth range; and detecting the pits on the surface to be tested based on the judgment strategy, the pit diameter data, and the pit depth data to obtain a detection result. The method for detecting pits on a building surface provided by the present invention uses the three-dimensional model data after modeling to obtain the pit diameter data and the pit depth data, and based on the pit diameter data and the pit depth data, a judgment strategy can be selected, thereby accurately judging the pits on the surface to be tested, and easily realizing monitoring and detection of the roughening quality.

Description

Technical Field

[0001] The invention relates to the technical field of building construction, and in particular to a method for detecting pits on a building surface and roughening equipment. Background Art

[0002] At present, the country is vigorously developing prefabricated buildings. Prefabricated concrete buildings, as one of the structural types of prefabricated buildings, are widely used in various types of buildings. Their main structural components are prefabricated in factories and assembled on site. Prefabricated components inevitably have a large number of connection nodes during on-site construction. There are new and old concrete bonding surfaces at the connection nodes, and it is necessary to roughen the solidified concrete area to allow the new and old concrete to bond better.

[0003] Roughening equipment is a kind of equipment that roughens the surface of the completed main structure, and makes the construction surfaces of the two construction stages firmly bonded by roughening. Roughening equipment is widely used in the fields of highway, railway, bridge, tunnel, water conservancy and hydropower reinforcement, building reinforcement, decoration and other roughening and reinforcement projects. In the existing electric roughening equipment, the roughening effect can only be observed by naked eyes, and the roughening quality is difficult to control. Summary of the invention

[0004] The invention provides a method for detecting pits on a building surface and a roughening device, which are used to solve the defect that the detection result of the roughening quality of the building surface in the prior art is not accurate enough, and achieves the advantages that the roughening quality can be detected and the detection is convenient.

[0005] The present invention provides a method for detecting pits on a building surface, comprising:

[0006] Acquire three-dimensional model data of the surface to be measured, and extract pit diameter data and pit depth data of the surface to be measured based on the three-dimensional model data;

[0007] Determining a determination strategy based on the pit depth data and a preset standard pit depth range;

[0008] The pits on the surface to be tested are detected according to the determination strategy, the pit diameter data and the pit depth data to obtain a detection result.

[0009] According to a method for detecting pits on a building surface provided by the present invention, the step of determining a determination strategy based on the pit depth data and a preset standard pit depth range specifically includes:

[0010] Calculate the maximum pit depth h based on the pit depth data of the surface to be measured max With the minimum pit depth h min The difference h 极 ;

[0011] When h 极 <h 标差When the first decision strategy is determined, h 标差 The preset standard pit depth is extremely poor;

[0012] When h 极 ≥h 标差 When , determine the second determination strategy.

[0013] According to a method for detecting pits on a building surface provided by the present invention, detecting the pits on the surface to be detected to obtain a detection result according to the determination strategy, the pit diameter data and the pit depth data specifically includes:

[0014] When the first determination strategy is determined, the number of first pits in the surface to be tested that meet the first preset pit condition is determined according to the pit diameter data and pit depth data of the surface to be tested;

[0015] When the number of the first pits is greater than or equal to the first number standard reference value, the surface to be tested is determined to be qualified, otherwise it is determined to be unqualified.

[0016] According to a method for detecting pits on a building surface provided by the present invention, the first preset pit condition is that the pit mouth diameter is d, the pit depth is δh, d and δh satisfy d>m, and δh>n, wherein m and n are judgment standard reference values ​​preset according to the acceptance standard for the degree of concavity and convexity of the surface to be tested.

[0017] According to a method for detecting pits on a building surface provided by the present invention, a first pit classification type of the surface to be tested is determined based on pit diameter data and pit depth data of the surface to be tested;

[0018] The first quantity compliance reference value is determined based on the first pit classification type and the pit diameter data of the surface to be measured.

[0019] According to a method for detecting pits on a building surface provided by the present invention, a first pit classification type of the surface to be tested is determined based on pit diameter data and pit depth data of the surface to be tested;

[0020] Acquire pit shape information of the surface to be measured from the three-dimensional model data of the surface to be measured, and determine a second pit classification type of the surface to be measured based on the shape information;

[0021] The first quantity compliance reference value is determined based on the first pit classification type, the second pit classification type and pit diameter data of the surface to be measured.

[0022] According to a method for detecting pits on a building surface provided by the present invention, the step of determining the first quantity standard reference value based on the first pit classification type and the pit diameter data of the surface to be tested includes:

[0023] When the pit opening diameters of the pits are different and the pit depths of the pits are different, the first pit classification type is determined to be an irregular pit, and an average pit opening diameter d' is calculated based on the pit diameter data of the surface to be measured;

[0024] The surface to be tested is divided into a plurality of square partitions, each of which has a side length of a. It is assumed that the number of pits in each square partition is: p1 = (a / d') 2 ,

[0025] Then the first quantity reaching standard reference value P=p1×c, where c is the set adjustment coefficient, c∈(0,1);

[0026] When the pit mouth diameters of the pits are all the same and the pit depths of the pits are all the same, it is determined that the first pit classification type is a regular pit, and the surface to be tested is divided into a plurality of square partitions, each of which has a side length a. It is assumed that the number of pits in each square partition is: p2 = (a / m) 2 ,

[0027] Then the first quantity reaching the standard reference value P=p2×c, where c is the set adjustment coefficient, c∈(0,1).

[0028] According to a method for detecting pits on a building surface provided by the present invention, the step of detecting the pits on the surface to be tested to obtain a detection result according to the determination strategy, the pit diameter data and the pit depth data of the surface to be tested specifically includes:

[0029] When the second determination strategy is determined, the pits on the surface to be tested meet the second preset pit condition, the second preset pit condition is that the surface to be tested includes deep pits and shallow pits, the preset pit depth is set to h', the average pit depth of the shallow pits is δh1, and the average pit depth of the deep pits is δh2, wherein δh1≤h', δh2>h',

[0030] The second determination strategy includes:

[0031] The surface to be measured is divided into a plurality of partitions, each of which has an area of ​​S1.

[0032] The first condition is set as follows: in each of the sub-areas, the ratio of the total area of ​​the shallow pit openings to the area S1 of the sub-area is not less than r;

[0033] The second condition is set as follows: in each of the partitions, the ratio of the total area of ​​the pit openings to the area S1 of the single partition is not less than s;

[0034] When both the first condition and the second condition are satisfied, the surface to be tested is determined to be qualified; otherwise, it is determined to be unqualified.

[0035] According to a method for detecting pits on a building surface provided by the present invention, the surface to be detected further comprises micro-pits, wherein the average pit depth of the micro-pits is δh3, δh3<δh2,

[0036] In each of the partitions, the ratio of the total area of ​​the micro-pit openings to the area S1 of a single partition is t, where s+r+t=1.

[0037] The present invention also provides a device for detecting pits on a building surface, comprising:

[0038] An acquisition module, used for acquiring three-dimensional model data of the surface to be measured;

[0039] An extraction module, extracting pit diameter data and pit depth data of the surface to be measured from the three-dimensional model data;

[0040] A strategy determination module, used to determine a determination strategy based on the pit depth data of the surface to be measured and a preset standard pit depth range;

[0041] The detection module is used to detect the pits on the surface to be tested according to the determination strategy, the pit diameter data and the pit depth data of the surface to be tested to obtain a detection result.

[0042] The method for detecting pits on the building surface provided by the present invention obtains pit diameter data and pit depth data by using the three-dimensional model data after modeling. Based on the pit diameter data and the pit depth data, a judgment strategy can be selected, thereby accurately judging the pits on the surface to be tested, and easily realizing the monitoring and detection of the roughening quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 The process of the building surface pit detection method provided by the present invention is Figure 1 ;

[0045] Figure 2 The process of the building surface pit detection method provided by the present invention is Figure 2 ;

[0046] Figure 3 It is a structural schematic diagram of a building surface pit detection device provided by the present invention;

[0047] Figure 4 is a view of the surface to be measured acquired by the image acquisition device;

[0048] Figure 5 is the view of the surface to be measured shown on the display;

[0049] Figure 6 It is a schematic diagram of the structure of the conical pit;

[0050] Figure 7 It is a schematic diagram of the structure of the hemispherical pit;

[0051] Figure 8 It is a schematic diagram of the structure of the mixed pit;

[0052] Fig. 9 The structure diagram of the hair cutting device provided by the present invention is as follows Figure 1 ;

[0053] Fig.10 The structure diagram of the hair cutting device provided by the present invention is as follows Figure 2 ;

[0054] Fig.11 The structure diagram of the hair cutting device provided by the present invention is as follows Figure 3 ;

[0055] Reference numerals:

[0056] 1: building surface pit detection device; 10: acquisition module; 20: extraction module; 30: strategy determination module; 40: detection module; 100: shell; 101: penetration hole; 201: motor; 202: rotating wheel; 203: eccentric block; 204: connecting rod; 205: driving wheel; 206: driven wheel; 207: fixing seat; 208: belt; 300: punching rod; 401: handle; 402: auxiliary handle; 403: switch; 404: power connection wire; 501: image acquisition device; 502: laser positioning device; 503: laser positioning area; 504: image processing device; 505: display device; 601: rotating part; 602: roller brush; 603: dust collecting chamber; 604: fan; 605: filter plate; 700: roughening surface; 801: detection push wheel; 802: connecting rod. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0058] During the construction of prefabricated buildings, prefabricated parts need to be connected together. There is a bonding surface between new and old concrete at the connection nodes of the prefabricated parts. It is necessary to perform roughening treatment on the solidified concrete area so that the new and old concrete can be better bonded. The roughening equipment can roughen the building surface at the connection point. The roughened building surface is a surface with many pits. The building surface pit detection method of the embodiment of the present invention can detect the surface to determine whether the surface is qualified.

[0059] Combine the following Figure 1 and Figure 2 The method for detecting pits on a building surface according to an embodiment of the present invention is described, and the method comprises the following steps:

[0060] S10: Acquire three-dimensional model data of the surface to be measured, and extract pit diameter data and pit depth data of the surface to be measured based on the three-dimensional model data.

[0061] S20: determining a determination strategy based on the pit depth data and a preset standard pit depth range;

[0062] S30: Detecting the pits on the surface to be detected according to the determination strategy, the pit diameter data and the pit depth data to obtain a detection result.

[0063] It should be noted that the three-dimensional model data includes the pit diameter data and pit depth data information of the surface to be tested. By analyzing the three-dimensional model data, the pit diameter data and pit depth data can be obtained. Based on the pit diameter data and pit depth data, a judgment strategy can be selected. Different judgment strategies can be adopted for different pits, thereby accurately judging the pits on the surface to be tested, and easily realizing the monitoring and detection of the roughening quality.

[0064] According to the method for detecting pits on the building surface according to the embodiment of the present invention, the three-dimensional model data after modeling is used to obtain the pit diameter data and the pit depth data. Based on the pit diameter data and the pit depth data, a judgment strategy can be selected, thereby accurately judging the pits on the surface to be tested, and facilitating the monitoring and detection of the roughening quality.

[0065] According to some embodiments of the present invention, see Figure 2 The steps of determining the judgment strategy based on the pit depth data and the preset standard pit depth range specifically include:

[0066] S21: Calculate the maximum pit depth h based on the pit depth data of the surface to be measured max With the minimum pit depth h min The difference h 极 ;

[0067] When h 极 <h 标差 When the first decision strategy is determined, h 标差The preset standard pit depth is extremely poor;

[0068] When h 极 ≥h 标差 When , determine the second determination strategy.

[0069] According to some embodiments of the present invention, the step of detecting the pits on the surface to be detected to obtain the detection result according to the determination strategy, the pit diameter data and the pit depth data specifically includes:

[0070] S31: when the first determination strategy is determined, the number of first pits in the surface to be tested that meet the first preset pit condition is determined according to the pit diameter data and pit depth data of the surface to be tested;

[0071] When the number of the first pits is greater than or equal to the first number standard reference value, the surface to be tested is determined to be qualified, otherwise it is determined to be unqualified, for example, see Figure 4 and Figure 5 shown.

[0072] Among them, the first preset pit condition is that the pit diameter is d, the pit depth is δh, d and δh satisfy d>m and δh>n, where m and n are judgment standard reference values ​​preset according to the acceptance standard of the concave-convex degree of the surface to be tested.

[0073] According to some embodiments of the present invention, the first quantity reaching standard reference value may be obtained by the following method:

[0074] Determine a first pit classification type of the surface to be measured based on the pit diameter data and pit depth data of the surface to be measured, for example, the first pit classification type may be uniform pits;

[0075] A first quantity compliance reference value is determined based on the first pit classification type and pit diameter data of the surface to be measured.

[0076] Further, the step of determining the first quantity standard reference value based on the first pit classification type and the pit diameter data of the surface to be tested specifically includes:

[0077] When the pit mouth diameters of the pits are different and the pit depths of the pits are different, the first pit classification type is determined to be an irregular pit, and the average pit mouth diameter d' is calculated based on the pit diameter data of the surface to be measured;

[0078] Divide the surface to be tested into multiple square partitions, each of which has a side length of a. Assume that the number of pits in each square partition is: p1 = (a / d') 2 ,

[0079] Then the first quantity reaching standard reference value P=p1×c, where c is the set adjustment coefficient, c∈(0,1), that is, c can be adjusted between 0 and 1, for example, c=0.8;

[0080] When the pit mouth diameters of the pits are the same and the pit depths of the pits are the same, the first pit classification type is determined to be a regular pit, and the surface to be tested is divided into a plurality of square partitions, each square partition has a side length of a, and it is assumed that the number of pits in each square partition is: p2 = (a / m) 2 ,

[0081] Then the first quantity reaching standard reference value P=p2×c, where c is the set adjustment coefficient, c∈(0,1), that is, c can be adjusted between 0 and 1, for example, c=0.85. Here, the value of c in the irregular pits and the regular pits can be the same or different.

[0082] It should be noted that the method for obtaining the first quantity reaching the standard reference value is not limited to this. For example, according to some embodiments of the present invention, the first quantity reaching the standard reference value can also be obtained by the following method:

[0083] Determine a first pit classification type of the surface to be measured based on the pit diameter data and pit depth data of the surface to be measured, for example, the first pit classification type may be uniform pits;

[0084] The pit shape information of the surface to be measured is obtained from the three-dimensional model data of the surface to be measured, and the second pit classification type of the surface to be measured is determined based on the shape information. For example, the second pit classification type includes non-mixed pits and mixed pits. The non-mixed pits are composed of an approximately single shape (for example, see Figure 6 , Figure 7 As shown, the pit shape is circular or hemispherical or conical), and the mixed pit is composed of pits of various shapes (for example, see Figure 8 As shown, the shapes of the pits include circular, hemispherical, and conical pits; the value of the adjustment coefficient can be further determined according to the second pit classification type. For example, the range of adjustment coefficients for non-mixed pits and mixed pits is different. For example, c∈(c1, c2) for non-mixed pits and c∈(c3, c4) for mixed pits, where c1, c2, c3, and c4 are all values ​​greater than 0 and less than 1, while the ranges of (c1, c2) and (c3, c4) are different.

[0085] The step of determining a first quantity standard reference value based on the first pit classification type, the second pit classification type and the pit diameter data of the surface to be tested specifically includes:

[0086] When the pit mouth diameters of the pits are different and the pit depths of the pits are different, the first pit classification type is determined to be an irregular pit, and the average pit mouth diameter d' is calculated based on the pit diameter data of the surface to be measured;

[0087] Divide the surface to be tested into multiple square partitions, each of which has a side length of a. Assume that the number of pits in each square partition is: p1 = (a / d') 2 ,

[0088] When the second dimple classification type is a non-mixed dimple, the adjustment coefficient c∈(c1, c2) is determined and set, and the first quantity reaching standard reference value P=p1×c; for example, c=0.81;

[0089] When the second dimple classification type is a mixed dimple, the adjustment coefficient c∈(c3, c24) is determined and set, and the first quantity reaches the standard reference value P=p1×c; for example, c=0.84.

[0090] The specific value range and specific value of the adjustment coefficient set here are determined based on statistical analysis of empirical data and are not specifically limited here. The values ​​here are only examples.

[0091] According to some embodiments of the present invention, the step of detecting the pits on the surface to be tested to obtain the detection result according to the determination strategy, the pit diameter data and the pit depth data of the surface to be tested specifically includes:

[0092] S32: When the second determination strategy is determined, the pits on the surface to be tested meet the second preset pit condition. The second preset pit condition is that the surface to be tested includes deep pits and shallow pits. The preset pit depth is set to h', the average pit depth of shallow pits is δh1, and the average pit depth of deep pits is δh2, wherein δh1≤h', δh2>h',

[0093] The second determination strategy includes:

[0094] Divide the surface to be tested into multiple partitions, each with an area of ​​S1.

[0095] The first condition is set as follows: in each sub-area, the ratio of the total area of ​​the shallow pit openings to the area S1 of the sub-area is not less than r; for example, r = 40%;

[0096] Set the second condition: in each partition, the ratio of the total area of ​​the pit openings to the area of ​​the single partition S1 is not less than s; for example, s = 40%;

[0097] When the first condition and the second condition are met at the same time, the surface to be tested is judged to be qualified; otherwise, it is judged to be unqualified. Furthermore, the surface to be tested also includes micro-pits, wherein the average pit depth of the micro-pits is δh3, δh3<δh2, and in each partition, the ratio of the total area of ​​the micro-pit openings to the area of ​​the single partition S1 is t, for example: s=20%, wherein s+r+t=1. In this way, all the pits in the surface to be tested can be judged, thereby improving the accuracy and comprehensiveness of the judgment method.

[0098] The specific values ​​of r, s, and t are determined by statistical analysis of empirical data and are not specifically limited here. The values ​​here are only examples.

[0099] According to some embodiments of the present invention, when a pit on the surface to be tested is determined to be an unqualified pit, the surface to be tested needs to be roughened again until the pit is determined to be a qualified pit.

[0100] According to some embodiments of the present invention, the step of obtaining the three-dimensional model data of the surface to be measured specifically includes:

[0101] The roughness detection switch is started, and the image acquisition device acquires an image of the surface to be measured;

[0102] According to the depth calculation analysis, the depth value of each pixel in the image is obtained;

[0103] Based on the depth value of each pixel point, the height data of the concave and convex points on the surface to be measured after roughening is obtained. The plane where the highest point of the surface is located is used as the horizontal plane where the surface is located before roughening, and a spatial coordinate system is established to obtain the three-dimensional model data of the surface to be measured.

[0104] See also Figure 3 As shown, a building surface pit detection device 1 provided according to an embodiment of the present invention includes:

[0105] An acquisition module 10 is used to acquire three-dimensional model data of the surface to be measured;

[0106] An extraction module 20 extracts pit diameter data and pit depth data of the surface to be measured from the three-dimensional model data;

[0107] A strategy determination module 30, for determining a determination strategy based on the pit depth data of the surface to be measured and a preset standard pit depth range, and determining whether to select the first determination strategy or the second determination strategy;

[0108] The detection module 40 is used to detect the pits on the surface to be tested according to the determination strategy, the pit diameter data and the pit depth data of the surface to be tested to obtain the detection result.

[0109] It should be noted that, in the step of obtaining the three-dimensional model data of the surface to be measured, it can be achieved by the following roughening equipment. Figures 9 to 11 As shown, the chiseling device includes: a housing 100 , a motor drive assembly and a punching and chiseling rod 300 .

[0110] The punching and chiseling rod 300 extends from the inside of the housing 100 to the outside of the housing 100. The motor drive assembly is installed in the housing 100. The motor drive assembly is used to drive the punching and chiseling rod 300 to vibrate so that the punching and chiseling rod 300 performs a roughening operation.

[0111] Through this structural setting, the motor drive assembly drives the relatively small diameter punching and chiseling rod 300 to vibrate to perform the chiseling operation. Compared with the rotary punching and chiseling head in the existing electric chiseling equipment, the chiseling rod 300 in the chiseling equipment has a relatively small diameter, which can be used for chiseling operations in narrow areas. Therefore, the flexibility and scope of application of the chiseling equipment are greatly improved.

[0112] In one embodiment of the present invention, one end of the punching rod 300 is fixedly connected to the inside of the housing 100, and the other end of the punching rod 300 extends out of the housing 100. The motor drive assembly is used to drive the housing 100 to vibrate, and the housing 100 drives the punching rod 300 to vibrate.

[0113] Further, in one embodiment of the present invention, the motor drive assembly includes a motor 201 , a belt assembly, a rotating wheel 202 and an eccentric block 203 .

[0114] The motor 201 is installed inside the housing 100. One end of the belt assembly is connected to the output shaft of the motor 201, and the other end of the belt assembly is connected to the rotating wheel 202. The motor 201 drives the rotating wheel 202 to rotate through the belt assembly. An eccentric block 203 is installed on the edge of the rotating wheel 202.

[0115] For example, Fig. 9 As shown, in the illustrated direction, the motor 201 is fixedly connected to the inside of the housing 100, and the rotating wheel 202 is located on the left side of the motor 201. A belt assembly is sleeved and connected between the rotating wheel 202 and the motor 201. The motor 201 drives the belt assembly to rotate, thereby causing the rotating wheel 202 to rotate. An eccentric block 203 is installed at the edge of the rotating wheel 202. A punching rod 300 is arranged below the rotating wheel 202. The upper end of the punching rod 300 is fixedly connected to the inside of the housing 100, and the lower end of the punching rod 300 passes through the side wall of the housing 100 and extends to the outside of the housing 100.

[0116] The motor 201 drives the belt assembly to rotate the rotating wheel 202. The eccentric block 203 generates unbalanced centrifugal force during the high-speed rotation of the rotating wheel 202. Under the action of the centrifugal force, the housing 100 vibrates. Then the housing 100 drives the punching and chiseling rod 300 to vibrate to perform the chiseling operation.

[0117] In one embodiment of the present invention, the extension line of the punching and chiseling rod 300 is colinear with the rotation center of the rotating wheel 202. Through this structural arrangement, the vibration stroke of the punching and chiseling rod 300 can be increased, thereby improving the roughening effect.

[0118] In another embodiment of the present invention, a through hole 101 is provided on the side wall of the housing 100. One end of the punching and chiseling rod 300 is connected to the motor drive assembly, and the other end of the punching and chiseling rod 300 is movably penetrated through the through hole 101 to the outside of the housing 100. The motor drive assembly is used to drive the punching and chiseling rod 300 to reciprocate along the through hole 101.

[0119] Further, in one embodiment of the present invention, the motor drive assembly includes a motor 201 , a belt assembly, a rotating wheel 202 and a connecting rod 204 .

[0120] The motor 201 is installed inside the housing 100. One end of the belt assembly is connected to the output shaft of the motor 201, and the other end of the belt assembly is connected to the rotating wheel 202. One end of the connecting rod 204 is rotatably connected to the edge of the rotating wheel 202, and the other end of the connecting rod 204 is rotatably connected to the punching rod 300.

[0121] For example, Fig.10 As shown, in the illustrated direction, the motor 201 is fixedly connected to the inside of the housing 100. The rotating wheel 202 is located on the left side of the motor 201. A belt assembly is sleeved between the rotating wheel 202 and the motor 201. The motor 201 drives the belt assembly to rotate, thereby driving the rotating wheel 202 to rotate. A punching rod 300 is provided below the rotating wheel 202. A through hole 101 is provided on the side wall of the housing 100. The upper end of the punching rod 300 is connected to the rotating wheel 202 through a connecting rod 204. The lower end of the punching rod 300 is movably penetrated to the outside of the housing 100 through the through hole 101. Specifically, one end of the connecting rod 204 is rotatably connected to the edge of the rotating wheel 202, and the other end of the connecting rod 204 is rotatably connected to the upper end of the punching rod 300.

[0122] The motor 201 drives the belt assembly to rotate the rotating wheel 202. The rotating wheel 202 drives the connecting rod 204 to drive the punching and chiseling rod 300 to move up and down repeatedly along the perforated hole 101, thereby making the punching and chiseling rod 300 perform the chiseling operation.

[0123] In one embodiment of the present invention, the central axis of the perforated hole 101 is colinear with the rotation center of the rotating wheel 202. With this structural arrangement, the vibration stroke of the punching and chiseling rod 300 can also be increased, thereby improving the roughening effect.

[0124] In one embodiment of the present invention, the belt assembly includes a driving wheel 205 , a driven wheel 206 , a fixing seat 207 and a belt 208 .

[0125] Among them, the driving wheel 205 is connected to the output shaft of the motor 201. The fixing seat 207 is arranged in the housing 100. One side of the driven wheel 206 is rotatably connected to the fixing seat 207, and the other side of the driven wheel 206 is fixedly connected to the rotating wheel 202. A first annular mounting groove is arranged on the driving wheel 205. A second annular mounting groove is arranged on the driven wheel 206. One side of the belt 208 is sleeved in the first annular mounting groove, and the other side of the belt 208 is sleeved in the second annular mounting groove. The inner diameter of the first annular mounting groove is greater than the inner diameter of the second annular mounting groove.

[0126] For example, Fig. 9 and Fig.10 As shown, the driving wheel 205 is coaxially fixedly connected to the output shaft of the motor 201. In the direction shown in the figure, a fixing seat 207 is fixedly installed on the left side of the motor 201. A driven wheel 206 is rotatably connected to the fixing seat 207. The rotating wheel 202 is coaxially rotatably connected to the driven wheel 206. A first annular mounting groove is provided on the driving wheel 205, and a second annular mounting groove is provided on the driven wheel 206. The right side of the belt 208 is sleeved in the first annular mounting groove, and the left side of the belt 208 is sleeved in the second annular mounting groove. The motor 201 drives the driving wheel 205 to drive the belt 208 to rotate, and the belt 208 drives the driven wheel 206 to drive the rotating wheel 202 to rotate, thereby causing the eccentric block 203 to drive the housing 100 to vibrate, thereby causing the punching and chiseling rod 300 to perform a punching and chiseling operation, or causing the connecting rod 204 to drive the punching and chiseling rod 300 to vibrate, thereby performing a punching and chiseling operation.

[0127] At the same time, the inner diameter of the first annular mounting groove is greater than the inner diameter of the second annular mounting groove, thereby increasing the vibration frequency of the punching and chiseling rod 300, thereby increasing the chiseling effect and efficiency of the chiseling device.

[0128] In one embodiment of the present invention, Fig.11 As shown, the roughening device also includes a cleaning device. The cleaning device includes a rotating part 601 and a roller brush 602. The roller brush 602 is mounted on the rotating part 601, and the rotating part 601 is located inside the housing 100 and connected to the motor 201. The motor 201 can drive the rotating part 601 to drive the roller brush 602 to rotate. A cleaning opening is provided on the housing 100, and the roller brush 602 protrudes to the outside of the cleaning opening to clean the roughening surface 700.

[0129] A dust collecting chamber 603 is also provided inside the housing 100, the entrance of the dust collecting chamber 603 is located at the rear side of the roller brush 602, and a fan 604 is installed inside the dust collecting chamber 603, and the fan 604 can form a negative pressure inside the dust collecting chamber 603, so that the dust inside the housing 100 is collected inside the dust collecting chamber 603. A filter plate 605 is also installed inside the dust collecting chamber 603 for protecting the fan 604. A dust discharge port is provided at the bottom of the dust collecting chamber 603, and when the dust collecting chamber 603 is full of dust, the dust inside the dust collecting chamber 603 can be cleaned through the dust discharge port.

[0130] In one embodiment of the present invention, an acquisition module 10 is disposed on the outer side wall of the housing 100 , and the acquisition module 10 may be an image acquisition device 501 . The image acquisition device 501 is used to acquire an image of a certain area of ​​the roughened surface 700 .

[0131] In one embodiment of the present invention, a laser positioning device 502 is further installed on the outer wall of the housing 100. The laser positioning device 502 can form a laser positioning area 503 on the roughened surface 700. The laser positioning area 503 can always cover the image acquisition area of ​​the image acquisition device 501 on the roughened surface 700.

[0132] In one embodiment of the present invention, the detection module 40 may be an image processing device 504, and the haircutting device further includes a display device 505. The image acquisition device 501 is respectively connected to the image processing device 504 and the display device 505 for transmitting the image acquired by the image acquisition device 501 to the image processing device 504 and displaying it on the display device 505.

[0133] The laser positioning device 502 is communicatively connected to the image processing device 504 and the display device 505 respectively, so as to transmit the current laser positioning area 503 of the laser positioning device 502 to the image processing device 504 and display it on the display device 505 .

[0134] The image processing device 504 is connected to the display device 505. The image processing device 504 is used to analyze and process the image collected by the image acquisition device 501 to obtain the quality evaluation result of the roughened surface 700, and display the quality evaluation result on the display device 505. That is, after the image acquisition device 501 collects the image information, the image processing device 504 processes the information and outputs the three-dimensional model data, thereby obtaining the quality evaluation result of the roughened surface 700 through the above-mentioned building surface pit detection method.

[0135] For example, Fig.11As shown, a detection push wheel 801 is installed on the left side wall of the housing 100, and the detection push wheel 801 is connected to the left side wall of the housing 100 through a connecting rod 802. The central axis of the connecting rod 802 is set at an angle to the left side wall of the housing 100. For example, the angle between the central axis of the connecting rod 802 and the left side wall of the housing 100 is 45°.

[0136] The image acquisition device 501 includes a camera, which is mounted on the left side wall of the housing 100 and located above the detection push wheel 801. Figure 4 As shown, Figure 4 The image area shown in is the image captured by the camera. In order to improve the accuracy of image capture, the camera should capture images in a direction perpendicular to the roughened surface 700. For example, in order to ensure the convenience of operation, the connecting rod 802 can be set parallel to the camera, that is, the camera can be set at 45° to the left side wall of the shell 100. At this time, when image capture and detection operations are required, the shell 100 is tilted so that the detection push wheel 801 contacts the roughened surface 700. By adjusting the degree of inclination of the shell 100 and the connecting rod 802, the camera captures the image of the roughened surface 700 in a direction perpendicular to the roughened surface 700.

[0137] A laser positioning device 502 is installed near the camera, and the laser positioning device 502 can form a laser positioning area 503 on the roughened surface 700. The roughened surface image captured by the camera is always located in the laser positioning area 503 of the laser positioning device 502. For example, the laser positioning area 503 can be divided into a plurality of small areas. The display device 505 can display the positional relationship between the image captured by the camera and each small area in the laser positioning area 503, so that the operator can quickly locate the position where the roughening is unqualified.

[0138] The image processing device 504 is electrically connected to the image acquisition device 501, the laser positioning device 502 and the display device 505. A target roughened surface image is set inside the image processing device 504. For example, the target roughened surface image can reflect the target concavity and convexity of each area of ​​the roughened surface 700, and the quality evaluation result of the roughened surface 700 can be obtained by the above-mentioned building surface pit detection method. The image processing device 504 can receive and compare the actual roughened surface image and the target roughened surface image, and display the comparison result on the display device 505.

[0139] See also Figure 5 As shown, Figure 5The image area shown in is the image displayed by the display device 505. For example, the image processing device 504 compares and displays the degree of concavity and convexity between the two. By observing the display result on the display device 505, the operator can locate that the chiseling degree in a small area within the laser positioning area 503 does not meet the standard, so as to perform further chiseling operation on the small area.

[0140] In one embodiment of the present invention, the haircutting device further comprises a handle 401 and an auxiliary handle 402. The handle 401 is mounted on the outer side wall of the housing 100. A switch 403 for controlling the working state of the motor drive assembly is disposed on the handle 401. The auxiliary handle 402 is disposed outside the housing 100 in a direction facing away from the chiseling rod 300.

[0141] In one embodiment of the present invention, the motor drive assembly further includes a power source, which includes a power connection wire 404 or a power supply battery.

[0142] For example, Fig. 9 and Fig.10 As shown, in the illustrated direction, a handle 401 is provided at the right end of the housing 100. A switch 403 for controlling the working state of the motor 201 is provided on the handle 401. The switch 403 is electrically connected to the motor 201. A power source should also be connected to the motor 201. For example, the power source includes a power connection wire 404, which is connected to the motor 201, and the power connection wire 404 is passed from the handle 401 to the outside of the housing 100. When the motor 201 needs to be started, the power connection wire 404 is first connected, and then the switch 403 is turned on. Alternatively, the power source may also include a power supply battery, which is installed inside the housing 100, and the power supply battery is electrically connected to the motor 201. When the motor 201 needs to be started, the switch 403 is turned on. The punching rod 300 is arranged at the lower side of the housing 100, and an auxiliary handle 402 is arranged on the upper side of the housing 100. During the haircutting operation, the operator holds the handle 401 with one hand and the auxiliary handle 402 with the other hand, which can greatly improve the working stability of the haircutting equipment.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting pits on a building surface, characterized in that: include: Acquire three-dimensional model data of the surface to be measured, and extract pit diameter data and pit depth data of the surface to be measured based on the three-dimensional model data; Determining a determination strategy based on the pit depth data and a preset standard pit depth range; Detecting the pits on the surface to be tested to obtain a detection result according to the determination strategy, the pit diameter data and the pit depth data; The step of determining the determination strategy based on the pit depth data and the preset standard pit depth range specifically includes: Calculate the maximum pit depth h based on the pit depth data of the surface to be measured max With the minimum pit depth h min The difference h 极 ; When h 极 <h 标差 When the first decision strategy is determined, h 标差 The preset standard pit depth is extremely poor; When h 极 ≥h 标差 When , determining the second determination strategy; The step of detecting the pits on the surface to be tested to obtain the detection result according to the determination strategy, the pit diameter data and the pit depth data specifically includes: When the first determination strategy is determined, the number of first pits in the surface to be measured that meet the first preset pit condition is determined according to the pit diameter data and pit depth data of the surface to be measured, wherein the first preset pit condition is that the pit diameter is d, the pit depth is δh, d and δh satisfy d>m, and δh>n, wherein m and n are determination standard reference values ​​preset according to the concave-convex degree acceptance standard of the surface to be measured; when the number of the first pits is greater than or equal to the first number standard reference value, the surface to be measured is determined to be qualified, otherwise it is determined to be unqualified; When the second determination strategy is determined, the pits on the surface to be tested meet the second preset pit condition, the second preset pit condition is that the surface to be tested includes deep pits and shallow pits, the preset pit depth is set to h', the average pit depth of the shallow pits is δh1, and the average pit depth of the deep pits is δh2, wherein δh1≤h', δh2>h', the second determination strategy includes: Divide the surface to be measured into a plurality of partitions, each of which has an area S1; The first condition is set as follows: in each of the sub-areas, the ratio of the total area of ​​the shallow pit openings to the area S1 of the sub-area is not less than r; The second condition is set as follows: in each of the partitions, the ratio of the total area of ​​the pit openings to the area S1 of the single partition is not less than s; When both the first condition and the second condition are satisfied, the surface to be tested is determined to be qualified; otherwise, it is determined to be unqualified.

2. The method for detecting pits on a building surface according to claim 1, characterized in that: Determine a first pit classification type of the surface to be tested based on the pit diameter data and pit depth data of the surface to be tested; The first quantity compliance reference value is determined based on the first pit classification type and the pit diameter data of the surface to be measured.

3. The method for detecting pits on a building surface according to claim 1, characterized in that: Determine a first pit classification type of the surface to be tested based on the pit diameter data and pit depth data of the surface to be tested; Acquire pit shape information of the surface to be measured from the three-dimensional model data of the surface to be measured, and determine a second pit classification type of the surface to be measured based on the shape information; The first quantity compliance reference value is determined based on the first pit classification type, the second pit classification type and pit diameter data of the surface to be measured.

4. The method for detecting pits on a building surface according to claim 2, characterized in that: The step of determining the first quantity standard reference value based on the first pit classification type and the pit diameter data of the surface to be tested specifically includes: When the pit opening diameters of the pits are different and the pit depths of the pits are different, the first pit classification type is determined to be an irregular pit, and an average pit opening diameter d' is calculated based on the pit diameter data of the surface to be measured; The surface to be tested is divided into a plurality of square partitions, each of which has a side length of a. It is assumed that the number of pits in each square partition is: p1 = (a / d') 2 , then the first quantity reaching the standard reference value P = p1×c, where c is the set adjustment coefficient, c∈(0,1); When the pit mouth diameters of the pits are all the same and the pit depths of the pits are all the same, it is determined that the first pit classification type is a regular pit, and the surface to be tested is divided into a plurality of square partitions, each of which has a side length a. It is assumed that the number of pits in each square partition is: p2 = (a / m) 2 , then the first quantity reaching the standard reference value P=p2×c, where c is the set adjustment coefficient, c∈(0,1).

5. The method for detecting pits on a building surface according to claim 1, characterized in that: The surface to be measured also includes micro-pits, wherein the average pit depth of the micro-pits is δh3, δh3<δh2, and in each of the partitions, the ratio of the total pit area of ​​the micro-pits to the single partition area S1 is t, wherein s+r+t=1.

6. A device for detecting pits on a building surface, characterized in that: The method for detecting pits on a building surface as claimed in any one of claims 1 to 5 can be implemented, and the device for detecting pits on a building surface comprises: An acquisition module, used for acquiring three-dimensional model data of the surface to be measured; An extraction module, extracting pit diameter data and pit depth data of the surface to be measured from the three-dimensional model data; A strategy determination module, used to determine a determination strategy based on the pit depth data of the surface to be measured and a preset standard pit depth range; The detection module is used to detect the pits on the surface to be tested according to the determination strategy, the pit diameter data and the pit depth data of the surface to be tested to obtain a detection result.

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