Concrete internal humidity detection method and construction maintenance management system
Through a combination of non-destructive and destructive detection, the internal humidity of concrete is comprehensively and accurately tested, which solves the problem that the internal humidity of concrete cannot be fully and accurately detected in the prior art, ensures that the humidity meets the standards and avoids the occurrence of concrete problems.
Patent Information
- Application Number
- CN202510213846.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2025-06-13
AI Technical Summary
The prior art cannot conduct sufficiently accurate humidity detection at various locations inside concrete, resulting in the inability to ensure that the internal humidity of the concrete reaches an acceptable level before applying the protective layer or floor material.
The humidity at different locations inside the concrete component is obtained through non-destructive detection, and the damage detection point is selected in the humidity clump area through destructive detection. Combined with the results of the two, the humidity distribution of the humidity clump area is marked and displayed, and early warning is made in a timely manner.
Accurate and comprehensive inspection of the internal humidity of concrete is achieved, ensuring that the humidity reaches the standard range, and avoiding concrete problems caused by uneven humidity, such as discoloration, depression, bending, etc.
Smart Images

Figure CN120142632A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of concrete detection, and particularly relates to a method for detecting the internal humidity of concrete and a construction maintenance management system. Background Art
[0002] Before applying a protective layer or other floor materials on a concrete slab, it is crucial to ensure that the internal humidity of the concrete drops to an acceptable level, usually ≤ 75% relative humidity (RH). Otherwise, the excess moisture in the concrete will accumulate under the coating or floor, resulting in discoloration, indentation, warping, blistering, adhesive failure, and / or mold growth. However, conventional detection of internal moisture in concrete cannot fully and accurately detect each position inside the concrete. Summary of the Invention
[0003] The purpose of the present invention is to provide a method for detecting the internal humidity of concrete and a construction maintenance management system, taking into account the accuracy and comprehensiveness of detecting the internal humidity of concrete.
[0004] To solve the above technical problems, the present invention is realized through the following technical solutions:
[0005] The present invention provides a method for detecting the internal humidity of concrete, including:
[0006] Performing non-destructive testing on a concrete member to obtain the non-destructive testing humidity at different position points inside the concrete member;
[0007] Analyzing the non-destructive testing humidity at different position points of the concrete member to obtain several humidity mass regions inside the concrete member, and the humidity of the concrete within each humidity mass region is consistent;
[0008] Selecting several position points as destructive testing points within the humidity mass region;
[0009] Obtaining the destructive testing humidity at each destructive testing point;
[0010] Obtaining the humidity at each position point inside the concrete member according to the destructive testing humidity at the destructive testing points corresponding to each humidity mass region.
[0011] The present invention also discloses a method for detecting the internal humidity of concrete, including:
[0012] Obtaining a spatial model containing the concrete member;
[0013] Receiving the humidity at each position point inside the concrete member;
[0014] Marking and displaying the humidity at each position point inside the concrete member within the spatial model.
[0015] The present invention also discloses a method for detecting the internal humidity of concrete, including
[0016] Obtaining the standard humidity range of concrete;
[0017] Receiving the humidity and humidity mass regions at each position point inside the concrete member;
[0018] Marking the humidity mass regions containing position points where the humidity is not within the standard humidity range of the concrete as warning humidity mass regions;
[0019] Issuing a warning for the warning humidity mass regions.
[0020] The present invention also discloses a concrete construction maintenance management system, including
[0021] A destructive testing unit for using non-destructive means to detect the non-destructive testing humidity at different position points inside the concrete member;
[0022] A non-destructive testing unit for using destructive means to detect the non-destructive testing humidity at different position points inside the concrete member;
[0023] A humidity analysis unit for performing non-destructive testing on the concrete member to obtain the non-destructive testing humidity at different position points inside the concrete member;
[0024] Analyzing the non-destructive testing humidity at different position points of the concrete member to obtain several humidity mass regions inside the concrete member, and the humidity of the concrete within each humidity mass region is consistent;
[0025] Selecting several position points as destructive testing points within the humidity mass region;
[0026] Obtaining the destructive testing humidity of each destructive testing point;
[0027] Obtaining the humidity at each position point inside the concrete member according to the destructive testing humidity of the destructive testing points corresponding to each humidity mass region;
[0028] A display unit for obtaining a spatial model containing the concrete member;
[0029] Receiving the humidity at each position point inside the concrete member;
[0030] Marking and displaying the humidity at each position point inside the concrete member within the spatial model; and
[0031] A warning unit for obtaining the standard humidity range of concrete;
[0032] Receive the humidity and humidity mass regions at each position point;
[0033] Mark the humidity mass region containing the position points where the humidity is not within the concrete humidity standard range as a warning humidity mass region;
[0034] Give a warning for the warning humidity mass region.
[0035] In the present invention, the non-destructive testing unit uses non-destructive means to detect the non-destructive testing humidity at different position points inside the concrete member, and uses destructive means to detect the non-destructive testing humidity at different position points inside the concrete member. Then, through the humidity analysis unit, a comprehensive analysis is carried out in combination with the destructive and non-destructive testing results, taking into account the accuracy and comprehensiveness of the humidity detection inside the concrete while trying to maintain the integrity of the concrete member.
[0036] Of course, any product implementing the present invention does not necessarily need to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0038] Figure 1 Schematic diagram of the energy supply unit and information flow direction for an embodiment of a concrete construction and maintenance management system according to the present invention;
[0039] Figure 2 Schematic diagram of the step flow and information flow direction for an embodiment of the humidity analysis unit according to the present invention;
[0040] Figure 3 Schematic diagram of the step flow and information flow direction for an embodiment of the display unit according to the present invention;
[0041] Figure 4 Schematic diagram of the step flow and information flow direction for an embodiment of the warning unit according to the present invention;
[0042] Figure 5 Schematic diagram of the step flow and information flow direction for an embodiment of step S2 according to the present invention;
[0043] Figure 6 Schematic diagram of the step flow and information flow direction for an embodiment of step S3 according to the present invention;
[0044] Figure 7Schematic diagram of the process flow and information flow of step S31 of the present invention in an embodiment;
[0045] Figure 8 Schematic diagram of the process flow and information flow of step S5 of the present invention in an embodiment;
[0046] In the drawings, the list of components represented by each reference numeral is as follows:
[0047] 1 - Destructive detection unit, 2 - Non - destructive detection unit, 3 - Humidity analysis unit, 4 - Display unit, 5 - Warning unit. Detailed implementation manners
[0048] To make the objectives, technical solutions and advantages of the present application clearer, the following will further describe the embodiments of the present application in detail with reference to the drawings.
[0049] It should be noted that the terms "first", "second", etc. in the present application are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.
[0050] Please refer to Figures 1 to 4 As shown, the present invention provides a concrete construction maintenance management system, which includes a destructive detection unit 1, a non - destructive detection unit 2, a humidity analysis unit 3, a display unit 4, and a warning unit 5 in terms of functional modules. The destructive detection unit 1 can be a virtual functional unit as long as it can drill and sample the concrete to test the humidity, or it can also be a complete device. The non - destructive detection unit 2 uses non - destructive means to detect the non - destructive detection humidity inside the concrete component. In actual operation, there are various methods for measuring the moisture content of concrete. Two of the most common methods are using a non - destructive electronic impedance meter (ASTM F2659) or an in - situ relative humidity probe (ASTM F2170).
[0051] Before the analysis by the humidity analysis unit 3, the destructive detection unit 1 needs to execute step S01 to detect the destructive detection humidity at different position points inside the concrete component using non - destructive means. Then, the non - destructive detection unit 2 executes step S02 to detect the non - destructive detection humidity at different position points inside the concrete component using destructive means.
[0052] During the analysis by the humidity analysis unit 3, first, step S1 can be executed to perform non-destructive testing on the concrete member to obtain the non-destructive testing humidity at different position points inside the concrete member. Next, step S2 can be executed to analyze the non-destructive testing humidity at different position points of the concrete member to obtain several humidity mass regions inside the concrete member, and the humidity of the concrete within each humidity mass region is consistent. Next, step S3 can be executed to select several position points as destructive testing points within the humidity mass region. Next, step S4 can be executed to obtain the destructive testing humidity of each destructive testing point. Finally, step S5 can be executed to obtain the humidity of each position point inside the concrete member based on the destructive testing humidity of the destructive testing points corresponding to each humidity mass region.
[0053] In order to enable construction inspectors to visually observe the humidity distribution inside the concrete, the display unit 4 can execute step S041 to obtain a spatial model containing the concrete member. Next, step S042 can be executed to receive the humidity of each position point inside the concrete member. Next, step S043 can be executed to mark and display the humidity of each position point inside the concrete member within the spatial model.
[0054] In order to enable construction inspectors to promptly inspect problematic concrete areas, the warning unit 5 can execute step S051 to obtain the standard humidity range of the concrete. Next, step S052 can be executed to receive the humidity and humidity mass regions of each position point. Next, step S053 can be executed to mark the humidity mass regions containing position points with humidity not within the standard humidity range of the concrete as warning humidity mass regions. Finally, step S054 can be executed to give a warning for the warning humidity mass regions.
[0055] Please refer to Figure 5 As shown, since the concrete may be non-uniform during construction mixing and subsequent solidification, in order to reduce the damage to the concrete member caused by destructive testing, the concrete member can first be divided into humidity mass regions with similar internal humidity through non-destructive testing. Specifically, first, step S21 can be executed to uniformly select multiple position points as positioning points among the position points of the concrete member. Next, step S22 can be executed to obtain the difference between the maximum value and the minimum value of the non-destructive testing humidity of each positioning point. Next, step S23 can be executed to use the ratio of the difference between the maximum value and the minimum value of the non-destructive testing humidity of each positioning point to the total number of positioning points as the division gradient value. Finally, step S24 can be executed to take the region occupied by multiple adjacent positioning points with a difference in non-destructive testing humidity less than the division gradient value among the positioning points of the concrete member as the humidity mass region.
[0056] Please refer to Figure 6As shown, since the humidity mass regions may be large and cannot all be used as sampling points for destructive testing as a whole, it is necessary to select the most representative positioning points as the destructive testing points. Specifically, first, step S31 can be executed to classify the humidity mass regions according to the shape and area of each humidity mass region to obtain grouped mass regions. Next, step S32 can be executed to select one humidity mass region from each grouped mass region as the representative humidity mass region. In actual operation, within each grouped mass region, the humidity mass region corresponding to the representative region feature vector in subsequent step S313 can be used as the representative humidity mass region. Next, step S33 can be executed to obtain the geometric center of each representative humidity mass region. Finally, step S34 can be executed to obtain the positioning point closest to the geometric center in each representative humidity mass region as the destructive testing point.
[0057] Please refer to Figure 7 As shown, since the number of divided humidity mass regions may be large, if all are subjected to destructive humidity testing, it may cause excessive damage to the concrete components. Therefore, only one humidity mass region with similar or the same state needs to be tested, which requires grouping the humidity mass regions according to their characteristics. Specifically, first, step S311 can be executed to calculate and obtain the ratio of the area of each humidity mass region to the area of its minimum circumscribed rectangle as the shape factor of each humidity mass region. Next, step S312 can be executed to use the two-dimensional vector composed of the shape factor and area values of each humidity mass region as the region feature vector of the humidity mass region. Next, step S313 can be executed to select several from all the region feature vectors as the representative region feature vectors. Next, step S314 can be executed to calculate and obtain the vector difference norm between each representative region feature vector and other region feature vectors. Next, step S315 can be executed to classify each other region feature vector and the representative region feature vector with the smallest vector difference norm into the same grouped mass region.
[0058] Since the region feature vectors within the grouped mass region may not have sufficient consistency at this time, next, step S316 can be executed to calculate and obtain the region feature vector with the smallest vector difference norm from the mean vector within each grouped mass region as the updated representative region feature vector. Next, step S317 can be executed to determine whether the updated representative region feature vector has changed. If so, it means that all the region feature vectors within the grouped mass region have consistency at this time. Therefore, next, steps S314 to S317 can be continuously executed to update the grouped mass regions and the representative region feature vectors. If not, it means that all the region feature vectors within the grouped mass region do not have consistency at this time. Therefore, finally, step S318 can be executed to obtain the classified grouped mass regions.
[0059] To supplement the implementation process of the above steps S311 to S318, the source code of some functional modules is provided, and corresponding explanations are given in the annotation part. To avoid the leakage of data involving business secrets, some data that does not affect the implementation of the solution is desensitized. The same applies hereinafter.
[0060]
[0061]
[0062]
[0063]
[0064]
[0065] This code first defines a Cluster structure for representing the area of a humidity blob, which includes the shape factor and the area. Then, the shape factor is obtained by calculating the ratio of the area of the minimum bounding rectangle of each blob to the area of the blob itself, and the shape factor and the area are combined into a two-dimensional feature vector. Next, all blobs are processed, grouped according to the shape factor and the area, and finally the group to which each blob belongs is output. This method can effectively classify the blob areas according to the shape and area features.
[0066] Please refer to Figure 8 As shown, since the non-destructive detection humidity of each positioning point within the same humidity blob area is not exactly the same, and there may be systematic deviations in the detected values of the non-destructive detection humidity, it is necessary to correct it. Specifically, within each humidity blob area, first, step S51 can be executed to calculate the ratio of the destructive detection humidity of the destructive detection point to the corresponding non-destructive detection humidity as the correction coefficient. Next, step S52 can be executed to obtain the corrected non-destructive detection humidity of each positioning point as the humidity of the positioning point according to the non-destructive detection humidity of each positioning point and the correction coefficient. Next, step S53 can be executed to smooth the humidity of each positioning point within the humidity blob area to obtain the humidity of each position point within the humidity blob area. Finally, step S54 can be executed to summarize the humidity of each position point within each humidity blob area to obtain the humidity of each position point inside the concrete member.
[0067] To supplement the implementation process of the above steps S51 to S54, the source code of some functional modules is provided, and corresponding explanations are given in the annotation part. To avoid the leakage of data involving business secrets, some data that does not affect the implementation of the solution is desensitized. The same applies hereinafter.
[0068]
[0069]
[0070]
[0071] This program first defines the structures Point and Cluster to represent a single location point and a humidity mass region respectively. Each mass contains multiple location points and a damage detection point. The program first calculates the ratio of the humidity between the damage detection point and a non-damage detection point as a correction factor. Then this correction factor is used to adjust the humidity values of all points in the mass. After that, the humidity data within the mass is smoothed to reduce the impact of anomalies at individual measurement points on the whole. Finally, through correction and smoothing, this method provides a more accurate and balanced way to estimate the humidity at each location point inside the concrete member.
[0072] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of devices, systems, methods, and computer program products according to multiple embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a part of an instruction, and the module, segment of a program, or part of an instruction contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved.
[0073] It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by hardware that performs the corresponding functions or actions, such as a circuit or an ASIC (Application Specific Integrated Circuit), or can be implemented by a combination of hardware and software, such as firmware, etc.
[0074] Although the present invention has been described in connection with various embodiments herein, however, in the process of implementing the claimed invention, those skilled in the art can understand and achieve other variations of the disclosed embodiments by viewing the accompanying drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality. A single processor or other unit can implement several functions recited in the claims. Certain measures are recited in mutually different dependent claims, but this does not mean that these measures cannot be combined to produce good results.
[0075] The embodiments of the present application have been described above. The above description is exemplary and not exhaustive, and is also not limited to the disclosed embodiments. Many modifications and variations are obvious to those of ordinary skill in the art without departing from the scope of the described embodiments. The selection of the terms used herein is intended to best explain the principles of the embodiments, the practical application, or the improvement of the technology in the market, or to enable other ordinary skill in the art to understand the embodiments disclosed herein.
Claims
1. A method for detecting humidity inside concrete, characterized in that: include, Conduct non-destructive testing on concrete components to obtain non-destructive testing humidity at different locations inside the concrete components; Non-destructive humidity analysis of different positions of the concrete component is performed to obtain a plurality of humidity mass areas inside the concrete component, and the humidity of the concrete in each humidity mass area is consistent; Selecting a plurality of positions in the humidity mass area as damage detection points; Obtaining the destructive detection humidity of each of the destructive detection points; The humidity of each position point inside the concrete component is obtained according to the destructive detection humidity of the destructive detection point corresponding to each humidity mass area.
2. The method according to claim 1, characterized in that The step of non-destructively testing humidity at different positions of the concrete component to analyze and obtain a plurality of humidity mass areas inside the concrete component, include, uniformly selecting a plurality of position points from the position points of the concrete component as positioning points; Obtain the difference between the maximum value and the minimum value of the non-destructive detection humidity at each of the positioning points; The ratio of the difference between the maximum value and the minimum value in the non-destructive detection humidity of each positioning point to the number of all the positioning points is used as the division gradient value; The area in the concrete component occupied by a plurality of adjacent positioning points of the concrete component whose difference in non-destructive detection humidity is less than the division gradient value is taken as the humidity mass area.
3. The method according to claim 2, characterized in that The step of selecting a plurality of positions in the humidity mass area as damage detection points, include, Classifying the humidity mass regions according to the shape and area of each humidity mass region to obtain mass region groups; For each of the mass area groups, one of the humidity mass areas is selected as a representative humidity mass area; Get the geometric center of each area representing the humidity mass; The positioning point closest to the geometric center in each area representing the humidity mass is obtained as the damage detection point.
4. The method according to claim 3, characterized in that The step of classifying the humidity mass regions according to the shape and area of each humidity mass region to obtain mass region groups comprises: Calculate and obtain the ratio of the area of each humidity mass region to the area of the minimum circumscribed rectangle as the shape coefficient of each humidity mass region; Using a two-dimensional vector composed of the shape coefficient and area value of each of the humidity mass regions as a regional feature vector of the humidity mass region; Selecting a number of regional feature vectors from all of the regional feature vectors as representative regional feature vectors; Calculate and obtain the vector difference modulus length between each representative regional feature vector and other regional feature vectors; Each other regional feature vector and the representative regional feature vector with the smallest vector difference modulus length are classified into the same cluster region group.
5. The method according to claim 4, characterized in that The step of classifying the humidity mass regions according to the shape and area of each humidity mass region to obtain mass region groups further includes: Calculate and obtain the regional feature vector with the smallest vector difference modulus length with the mean vector in each of the cluster region groups as the updated representative regional feature vector; Determine whether the updated representative region feature vector has changed; If yes, then continue to update the cluster region grouping and the representative region feature vector; If not, the classified cluster region grouping is obtained.
6. The method according to claim 4, characterized in that The step of selecting one of the humidity mass areas as a representative humidity mass area for each of the mass area groups, include, In each of the cluster region groups, the humidity cluster region corresponding to the representative region feature vector is used as the representative humidity cluster region.
7. The method according to claim 4, characterized in that The step of obtaining the humidity of each position point inside the concrete component according to the destructively detected humidity of the destructive detection point corresponding to each humidity mass area, include, Within each of the humidity mass regions, The ratio between the destructive detection humidity and the corresponding non-destructive detection humidity of the destructive detection point is calculated and obtained as a correction coefficient, According to the non-destructive detection humidity and correction coefficient of each positioning point, the corrected non-destructive detection humidity of each positioning point is obtained as the humidity of the positioning point. Smoothing the humidity of each positioning point in the humidity mass area to obtain the humidity of each position point in the humidity mass area; The humidity of each position point in each humidity mass area is summarized to obtain the humidity of each position point inside the concrete component.
8. A method for detecting humidity inside concrete, characterized in that: include, Obtaining a spatial model including concrete components; Receiving the humidity at each position point inside the concrete component in the method for detecting humidity inside concrete according to any one of claims 1 to 7; The humidity of each location point inside the concrete component is marked and displayed in the space model.
9. A method for detecting humidity inside concrete, characterized in that: include, Get the standard range of concrete moisture; Receiving the humidity and humidity mass area at each position point inside the concrete component in the method for detecting humidity inside concrete according to any one of claims 1 to 7; Marking the humidity mass area including the position points where the humidity is not within the standard range of the concrete humidity as a warning humidity mass area; An early warning is issued for the warning humidity mass area.
10. A concrete construction maintenance management system, characterized in that: include, A destructive detection unit is used to detect the destructive detection humidity at different positions inside the concrete component by non-destructive means; A non-destructive detection unit, used to detect the non-destructive humidity at different positions inside the concrete component by using destructive means; A humidity analysis unit is used to perform non-destructive testing on concrete components and obtain non-destructive testing humidity at different locations inside the concrete components; Non-destructive humidity analysis of different positions of the concrete component is performed to obtain a plurality of humidity mass areas inside the concrete component, and the humidity of the concrete in each humidity mass area is consistent; Selecting a plurality of positions in the humidity mass area as damage detection points; Obtaining the destructive detection humidity of each of the destructive detection points; Obtaining the humidity of each position point inside the concrete component according to the destructive detection humidity of the destructive detection point corresponding to each humidity mass area; A display unit, used for obtaining a spatial model including concrete components; Receive the humidity at each location point inside the concrete element; Marking and displaying the humidity of each location point inside the concrete component in the spatial model; and, An early warning unit is used to obtain the standard range of concrete moisture; Receive the humidity and humidity mass area of each location point; Marking the humidity mass area including the position points where the humidity is not within the standard range of the concrete humidity as a warning humidity mass area; An early warning is issued for the warning humidity mass area.