Concrete mix ratio prediction method based on visible spectrum sensor

Abstract

The present application proposes a concrete mix ratio prediction method based on a visible spectrum sensor, the method comprising: obtaining standard base color data based on a fixed ratio, and storing the standard base color data, multiple color data and corresponding ratios; detecting the concrete base color data obtained on site according to the fixed ratio by a visible spectrum sensor, and detecting the color data of the concrete to be repaired; calculating the difference between the standard base color data and the detected base color data, and calculating the difference between the stored color data and the detected color data; comparing the base color data difference and the color data difference with the corresponding preset thresholds, respectively, and generating corresponding concrete repair material ratio suggestions according to the comparison results, wherein the ratio suggestions include the ratios stored in the database corresponding to the comparison results. The method can accurately predict the ratios of concrete repair materials, and improve the accuracy and efficiency of concrete ratio prediction.

Description

Technical Field

[0001] The present application relates to the technical field of building material data processing, and in particular to a concrete mix ratio prediction method based on a visible spectrum sensor. Background Art

[0002] At present, concrete is a commonly used building material in construction projects. The quality of concrete has a great impact on the final quality of the construction project. Among them, appearance quality is one of the important attributes of concrete structure engineering, and it is also an indicator that is paid special attention to in plain concrete engineering.

[0003] In practical applications, common surface defects in concrete structural engineering include misalignment caused by formwork splicing, honeycomb surface caused by leakage, air bubbles formed by irregular vibration, voids caused by leakage, surface spots caused by mix ratio, and cracks caused by concrete heat shrinkage or inadequate curing, etc. When the above defects appear on the concrete surface, some measures need to be taken to locally repair the defective area to ensure the appearance quality of the concrete.

[0004] In the related art, during the concrete repair process, the relevant operators usually conduct multiple experiments based on their personal experience to synthesize concrete as a repair material to perform local repairs on the defective area. However, due to personal factors, the concrete mix ratio synthesized by the concrete configuration method in the above-mentioned related art often deviates from the mix ratio of the overall concrete, resulting in an easily noticeable color difference between the repaired part and the whole, the appearance color of the concrete may be dark or light, and the area of ​​the color difference area may be large or small, which seriously affects the appearance quality of the concrete. In addition, the above method requires multiple experiments, has low configuration efficiency, increases construction costs and prolongs the construction period.

[0005] Therefore, how to accurately predict the proportion of concrete repair materials has become an urgent problem to be solved. Summary of the invention

[0006] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0007] To this end, the first purpose of this application is to propose a concrete mix ratio prediction method based on a visible spectrum sensor. This method uses a visible spectrum sensor to identify the color data of the concrete to be repaired, compares the on-site detection data with the stored data, and can accurately predict the ratio of concrete repair materials, thereby improving the accuracy and efficiency of concrete mix ratio prediction.

[0008] The second object of the present application is to propose a concrete mix ratio prediction device based on a visible spectrum sensor;

[0009] The third object of the present application is to provide an electronic device;

[0010] A fourth object of the present application is to provide a non-transitory computer-readable storage medium.

[0011] To achieve the above-mentioned purpose, the first embodiment of the present application is to propose a concrete mix ratio prediction method based on a visible spectrum sensor, comprising the following steps:

[0012] Obtaining standard base color data of concrete based on a fixed mix ratio, and storing the standard base color data, multiple color data, and the concrete material mix ratio corresponding to each color data in a database;

[0013] Using a visible spectrum sensor to detect base color data of concrete obtained at the mixing site according to the fixed mix ratio, and to detect color data of the concrete to be repaired;

[0014] Calculating the primary color data difference between the standard primary color data and the primary color data detected on site, and sequentially calculating the color data difference between each stored color data and the color data detected on site;

[0015] The base color data difference and the color data difference are respectively compared with corresponding preset thresholds, and a corresponding concrete repair material ratio suggestion is generated according to the comparison result, and concrete is mixed according to the ratio suggestion, wherein the ratio suggestion includes the ratio stored in the database corresponding to the comparison result.

[0016] Optionally, in one embodiment of the present application, the preset threshold includes: a first threshold corresponding to the base color data difference and a second threshold corresponding to the color data difference, and generating a corresponding concrete repair material ratio recommendation based on the comparison result includes: selecting any color data difference from all color data differences corresponding to the multiple color data; when the base color data difference is less than the first threshold and any color data difference is less than the second threshold, directly outputting the concrete material ratio corresponding to any color data difference stored in the database.

[0017] Optionally, in one embodiment of the present application, generating a corresponding concrete repair material ratio recommendation based on the comparison result also includes: when the base color data difference is less than the first threshold and all the color data differences are greater than the second threshold, selecting the minimum color data difference from all the color data differences; and outputting the concrete material ratio corresponding to the minimum color data difference stored in the database.

[0018] Optionally, in one embodiment of the present application, generating a corresponding concrete repair material ratio recommendation based on the comparison result also includes: when the base color data difference is greater than the first threshold, compensating and adjusting the base color data and color data detected on site according to the base color error; recalculating the base color data difference between the standard base color data and the compensated base color data, and calculating the color data difference between each stored color data and the compensated color data in turn, and generating a corresponding concrete repair material ratio recommendation based on the updated data difference.

[0019] Optionally, in one embodiment of the present application, the compensating adjustment of the primary color data and color data detected on-site according to the primary color error includes: converting the primary color data and color data detected on-site into a Lab color space, and calculating an offset value between the standard primary color data and the primary color data detected on-site in the Lab color space; reversely offsetting the primary color data and color data detected on-site according to the offset value, and converting the primary color data and color data after the offset correction to the original data format.

[0020] Optionally, in one embodiment of the present application, the detecting the color data of the concrete to be repaired includes: placing the visible spectrum sensor on the concrete to be repaired, identifying reflected light information of the concrete to be repaired by the visible spectrum sensor, so as to obtain 8-channel spectral data.

[0021] Optionally, in one embodiment of the present application, calculating the primary color data difference and the color data difference includes: for the primary color data and the color data, respectively calculating the average square error between the detected spectral data and the stored spectral data, wherein the average square error is calculated by the following formula:

[0022]

[0023] in, MSE represents the mean square error, x i represents the detected spectral data, y i Represents the stored spectral data, n Indicates the number of calculations, i Is a positive integer.

[0024] To achieve the above-mentioned purpose, the second embodiment of the present application further proposes a concrete mix ratio prediction device based on a visible spectrum sensor, comprising the following modules:

[0025] A storage module, used to obtain standard base color data of concrete based on a fixed mix ratio, and store the standard base color data, multiple color data, and concrete material mix ratios corresponding to each color data in a database;

[0026] A detection module, used to detect the base color data of concrete obtained according to the fixed mix ratio at the mixing site through a visible spectrum sensor, and detect the color data of the concrete to be repaired;

[0027] A calculation module, used for calculating the primary color data difference between the standard primary color data and the primary color data detected on site, and sequentially calculating the color data difference between each stored color data and the color data detected on site;

[0028] A prediction module is used to compare the base color data difference and the color data difference with corresponding preset thresholds, generate corresponding concrete repair material ratio suggestions according to the comparison results, and mix concrete according to the ratio suggestions, wherein the ratio suggestions include the ratios stored in the database corresponding to the comparison results.

[0029] In order to implement the above embodiment, the third aspect of the present application further proposes an electronic device, including:

[0030] processor;

[0031] a memory for storing instructions executable by the processor;

[0032] The processor is configured to execute the instructions to implement the concrete mix ratio prediction method based on a visible spectrum sensor as described in any one of the first aspects above.

[0033] In order to implement the above embodiments, the fourth aspect of the present application further proposes a non-temporary computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the concrete mix ratio prediction method based on a visible spectrum sensor described in any one of the above first aspects is implemented.

[0034] The technical solution provided by the embodiment of the present application brings at least the following beneficial effects: the present application uses a sensor to record the base color of concrete and the ratio data corresponding to various colors in advance, and stores the recorded data in a database. Then, the reflected light information of the concrete to be repaired is identified by a visible spectrum sensor, and a concrete ratio suggestion is given by comparing the identified reflected light information with the information pre-stored in the database. The present application assists in concrete repair based on the visible spectrum sensor to identify the color of concrete, and can predict the reasonable ratio of concrete as a repair material, and assist relevant staff to configure suitable concrete repair materials for repair according to the predicted ratio suggestion. As a result, the present application greatly optimizes the concrete repair process, can effectively assist staff to efficiently repair concrete defects, save the cost of repair, and improve the repair efficiency. In addition, the present application improves the accuracy of predicting the ratio of concrete repair materials, can significantly reduce the color difference between the local and the whole after concrete repair, ensures the appearance quality of concrete, and improves the accuracy and convenience of concrete ratio prediction.

[0035] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0037] Figure 1 A flowchart of a concrete mix ratio prediction method based on a visible spectrum sensor proposed in an embodiment of the present application;

[0038] Figure 2 A schematic diagram of the implementation principle of a concrete mix ratio prediction method based on a visible spectrum sensor proposed in an embodiment of the present application;

[0039] Figure 3 A schematic diagram of a concrete test result proposed in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of another concrete test result proposed in an embodiment of the present application;

[0041] Figure 5 A schematic diagram of another concrete test result proposed in an embodiment of the present application;

[0042] Figure 6 This is a schematic diagram of the structure of a concrete mix ratio prediction device based on a visible spectrum sensor proposed in an embodiment of the present application. DETAILED DESCRIPTION

[0043] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0044] A method and device for predicting concrete mix ratio based on a visible spectrum sensor according to an embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

[0045] Figure 1 A flowchart of a concrete mix ratio prediction method based on a visible spectrum sensor proposed in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method comprises the following steps:

[0046] Step S101, obtaining concrete standard base color data based on a fixed mix ratio, and storing the standard base color data, multiple color data, and concrete material mix ratios corresponding to each color data in a database.

[0047] It should be noted that the concrete mix ratio prediction method of the present application is to store standard base color data and various color data in the database in advance, and store the concrete mix ratio corresponding to each color data. Then, the reflected light information of the concrete to be repaired is identified based on the visible spectrum sensor, and the database is compared according to the identified reflected light information, and then the concrete mix ratio recommendation is given to assist the concrete repair personnel in configuring the concrete.

[0048] Among them, the base color of concrete is the initial basic color of the concrete surface, which is mainly determined by the colors of components such as cement, admixtures, and sand and gravel aggregates. The standard base color data of this application is determined by a preset fixed ratio. The color data of concrete also includes surface color differences caused by various factors, as well as colors obtained under different ratios. This application stores a large amount of color data in the laboratory database in advance for subsequent comparison.

[0049] Specifically, this step pre-enters and saves the concrete base color data, concrete color data, and the ratio data corresponding to each color data. In specific implementation, the base color data obtained with a fixed material ratio is detected and saved by a visible spectrum sensor, and the base color data is used as standard data for subsequent comparison. A large amount of color data is then detected and saved by the sensor in the same manner. When saving the color data, the concrete material ratio that can obtain the color data is correspondingly saved.

[0050] For example, when recording and saving the base color data, the color data of concrete obtained by mixing fine sand, gray cement and white cement in a material ratio of 1:1:1 is recorded and saved using a visible spectrum sensor in advance as the standard base color data B of concrete.n . And save the color data obtained by other different concrete material ratios X s .

[0051] It can be understood that the data types and formats of the standard base color data and multiple color data recorded and saved in the present application are consistent with the data of subsequent actual on-site detection, so as to facilitate comparison. For example, during pre-save and on-site detection, the reflected light information of the concrete can be detected by the same visible spectrum sensor, and 8-channel spectral data can be obtained.

[0052] Step S102, detecting the base color data of concrete obtained according to a fixed mix ratio at the mixing site by a visible spectrum sensor, and detecting the color data of the concrete to be repaired.

[0053] Specifically, since the base color data obtained from different batches of materials have certain differences, in order to ensure the accuracy of the concrete mix ratio prediction results, this application also considers the base color of the on-site concrete materials during the comparison process. Therefore, this step follows the same method as the previous step, first using a visible spectrum sensor to detect the base color data of the concrete to be mixed on site, and then using a visible spectrum sensor to detect the color data of the concrete to be repaired on site.

[0054] Continuing with the above example, detecting the base color data of concrete to be mixed on site means mixing the fine sand, gray cement and white cement materials on site in a ratio of 1:1:1 to obtain concrete, and then testing the concrete to obtain the base color data B of on-site testing. Detecting the color data of concrete to be repaired on site means detecting the color data of concrete to be repaired with defects at the construction site.

[0055] In one embodiment of the present application, when detecting the color data of the concrete to be repaired, the method includes: placing a visible spectrum sensor on the concrete to be repaired, identifying the reflected light information of the concrete to be repaired by the visible spectrum sensor, and obtaining 8-channel spectrum data. For example, the detected color data X is 8-channel spectrum data, represented by X1~X8.

[0056] It should be noted that when detecting the primary color data on site, and when pre-detecting the standard primary color data and the multiple color data in step S101, the detection can be performed in the manner of the above embodiment. The type of visible spectrum sensor used can be determined according to actual needs. For example, the AS7341 sensor can be used. The sensor is a multi-channel spectrum sensor that can meet the detection requirements of the above 8-channel spectrum data.

[0057] Step S103, calculating the primary color data difference between the standard primary color data and the primary color data detected on site, and calculating the color data difference between each stored color data and the color data detected on site in turn.

[0058] Specifically, the base color error value is calculated and matched to calculate the color error, such as Figure 2 As shown, the present application is to compare the primary color data B detected on site with the stored standard primary color data B n Calculate the error and compare the color data X detected on site with the stored color data X s By comparing the data detected on site with the data stored in the database, the base color data difference E is obtained by subtracting them. B And the color data difference E X .

[0059] In one embodiment of the present application, calculating the primary color data difference and the color data difference includes: for the primary color data and the color data, respectively calculating the average square error between the detected spectral data and the stored spectral data, wherein the average square error is calculated by the following formula:

[0060]

[0061] in, MSE represents the mean square error, x i represents the detected spectral data, y i Represents the stored spectral data, n Indicates the number of calculations, i It is a positive integer, representing any calculation within the number of calculations.

[0062] Specifically, in this embodiment, when calculating the primary color data difference and the color data difference, the above formula can be used to substitute the corresponding on-site detection data and the data stored in the database into the formula for calculation. X When the color data difference between each color data stored and the color data detected on site can be calculated respectively, or it can be adjusted according to the subsequent comparison situation.

[0063] Step S104, comparing the base color data difference and the color data difference with the corresponding preset thresholds, generating corresponding concrete repair material ratio suggestions according to the comparison results, and mixing concrete according to the ratio suggestions, wherein the ratio suggestions include the ratios stored in the database corresponding to the comparison results.

[0064] Specifically, according to the concrete base color error value and the matching calculation color error comparison result, a mixing ratio suggestion is given. Then, according to the mixing ratio suggestion, the concrete is prepared, and the prepared concrete is used as a repair material to repair the defective concrete to be repaired. Among them, when giving the mixing ratio suggestion, the calculated base color data difference and color data difference are respectively compared with the corresponding thresholds, and according to the different comparison results of the two comparison processes, the corresponding concrete repair material mixing ratio suggestion is generated.

[0065] In an embodiment of the present application, the preset thresholds include: a first threshold corresponding to the base color data difference and a second threshold corresponding to the color data difference. Generating the corresponding concrete repair material mixing ratio suggestion according to the comparison result includes: selecting any one of the color data differences corresponding to a variety of color data from all the color data differences; when the base color data difference is less than the first threshold and any one of the color data differences is less than the second threshold, directly output the concrete material mixing ratio stored in the database corresponding to any one of the color data differences.

[0066] Specifically, in this embodiment, as Figure 2 shown, when the base color data difference E B is less than the first threshold E T1 and the color data difference E X is less than the threshold E T2 , it is expressed as EB < ET1 and EX < ET2, then directly output the concrete material mixing ratio R corresponding to the stored color data currently being compared. That is, when the base color error is less than the threshold, it is considered that the materials on site and in the laboratory can be approximated as the same, and when the error between the color detected on site and a certain stored color is less than the threshold, it is defaulted that the mixing ratio data of the stored color can be synchronized to the site for direct use.

[0067] Among them, one difference can be selected in turn from all the calculated color data differences through different selection methods until the above conditions are met. Or, each color data difference can also be compared with the threshold E T2 , and among the color data differences that meet the condition of being less than the threshold E T2 , select the mixing ratio data corresponding to the color data with the smallest difference.

[0068] In an embodiment of the present application, generating the corresponding concrete repair material mixing ratio suggestion according to the comparison result further includes:

[0069] When the base color data difference is less than the first threshold and all the color data differences are greater than the second threshold, select the smallest color data difference from all the color data differences; output the concrete material mixing ratio stored in the database corresponding to the smallest color data difference.

[0070] Specifically, as Figure 2 As shown, when the difference E of the primary color data B is less than the first threshold E T1 and all the differences E of the color data X are greater than the threshold E T2 it is represented as EB < ET1 and EX > ET2, then the ratio R of the stored color data that makes EX the minimum value is output.

[0071] That is, when the primary color error is less than this threshold, it is considered that the materials on-site and in the laboratory can be approximated as the same. However, if the errors between the on-site detected color and all the stored colors are greater than the threshold, then traverse the color data in the dataset built in the laboratory, find the color data with the smallest comparison error value compared with the on-site detected color data, and output the material ratio corresponding to this color data for on-site use.

[0072] In an embodiment of the present application, generating corresponding concrete repair material ratio suggestions according to the comparison result further includes:

[0073] In the case where the difference of the primary color data is greater than the first threshold, compensate and adjust the on-site detected primary color data and color data according to the primary color error; recalculate the difference of the primary color data between the standard primary color data and the compensated and adjusted primary color data, and calculate in turn the differences of the color data between each stored color data and the compensated and adjusted color data, and generate corresponding concrete repair material ratio suggestions according to the updated data differences.

[0074] Among them, compensating and adjusting the on-site detected primary color data and color data according to the primary color error includes: converting the on-site detected primary color data and color data to the Lab color space, calculating the offset value between the standard primary color data and the on-site detected primary color data in the Lab color space; performing a reverse offset on the on-site detected primary color data and color data according to the offset value, and converting the offset-corrected primary color data and color data to the original data format.

[0075] Specifically, as Figure 2 shown, when the difference E of the primary color data B is greater than the first threshold E T1 it is represented as E B > E T1 then it is determined that the materials used on-site and the materials used when pre-storing data are of different batches and have a large gap. Therefore, it is necessary to first compensate and adjust the color data and the primary color data.

[0076] In this embodiment, when color compensation adjustment is performed, the spectral data is converted to the Lab color space, which is a color-opponent space with dimension L representing brightness and a and b representing color-opponent dimensions. The offset value between the detected primary color data and the stored primary color data is calculated in the uniform color space, and the calculated offset value is used to correct the primary color data detected on site, and to reversely offset the color data detected on site. Then, the primary color data and color data after compensation adjustment are converted back to spectral data to obtain primary color data B S and color data X C .

[0077] Furthermore, by compensating the adjusted primary color data B S and color data X C Perform error matching calculation and compare based on the difference to obtain corresponding matching suggestions. Figure 2 As shown, after using the compensation adjusted primary color data B S and color data X C When performing error matching calculation and comparison, the implementation method is the same as that in the above embodiment, which can be regarded as updating the primary color data B detected on site in the above embodiment to B S , update the color data X detected on site to X C , and repeat the calculation process from step S103 to step S104.

[0078] That is, in this embodiment, when the primary color error is large, the spectrum data collected by the device is first transferred to the LAB space for approximation processing to obtain the primary color error, and the primary color and color data on site are corrected in reverse according to the obtained primary color error, for example, the primary color data and color data detected on site are both subtracted by 256. Then, the compensated primary color data and color data are used to return to the judgment logic of step S103 to step S104, and the subsequent error calculation and comparison are continued.

[0079] Therefore, based on the mix ratio recommendations obtained in the above-mentioned situations, on-site construction personnel can be guided to mix concrete according to the given mix ratio recommendations.

[0080] In order to fully illustrate the effect of the concrete mix ratio prediction method of the present application, the following is an exemplary explanation in combination with several experiments in actual applications in accordance with the present application. In the first example, concrete is pre-mixed in a ratio of 8:4:4, and the concrete is detected by an electronic device equipped with the concrete mix ratio prediction method based on a visible spectrum sensor of the present application. The electronic device includes a visible spectrum sensor and a display screen. After the electronic device detects the concrete through the visible spectrum sensor, it compares it with the stored data and generates a prediction result. Figure 3As shown in the figure, the detected concrete color data and the recommended concrete mix ratio given by the equipment are output through the display screen. Figure 3 It can be seen that the experimental results displayed by the device accurately give the label number corresponding to the tested concrete, that is, the concrete material ratio, which is the same as the known configuration. Therefore, the color of the concrete repair sample configured according to the recommended ratio is consistent with the original concrete color.

[0081] In the second example, concrete is prepared in a ratio of 8:2:6:1.5. After the concrete is tested by electronic equipment, Figure 4 As shown in the figure, the recommended concrete mix ratio given by the device on the display screen is 2:4:0. Since the original concrete mix is ​​relatively complex, there is a certain difference between the recommended mix ratio given by the device and the mix ratio in the original correct label. Furthermore, in this example, the concrete is reconfigured according to the concrete mix ratio of 2:4:0 given by the device, and the newly configured concrete is retested by the device, as shown in the figure below. Figure 5 As shown, the recommended concrete ratio given by the device output by the display screen is 2:4:0, and the color data of the 8 channels detected under these two ratios are very close. In addition, through manual detection, it is determined that the color of the concrete sample labeled 2:4:0 is very close to the color of the concrete sample labeled 8:2:6:1.5, which basically meets the concrete repair needs during construction and can effectively assist construction personnel in repairing concrete cracks.

[0082] In summary, the concrete mix ratio prediction method based on the visible spectrum sensor of the embodiment of the present application uses the sensor to record the base color data and color ratio data of various types of concrete in advance, and stores the recorded data in the database. The reflected light information of the concrete to be repaired is then identified by the visible spectrum sensor, and the concrete mix ratio suggestion is given by comparing the identified reflected light information with the information pre-stored in the database. This method assists concrete repair based on the visible spectrum sensor to identify the color of concrete, and can predict the reasonable ratio of concrete as a repair material, and assist relevant staff to configure suitable concrete repair materials for repair according to the predicted ratio suggestion. Therefore, this method greatly optimizes the concrete repair process, can effectively assist staff to efficiently repair concrete defects, save the cost of repair, and improve the repair efficiency. In addition, this method improves the accuracy of predicting the ratio of concrete repair materials, can significantly reduce the color difference between the local and the whole after concrete repair, and ensures the appearance quality of concrete.

[0083] In order to implement the above embodiment, the present application also proposes a concrete mix ratio prediction device based on a visible spectrum sensor. Figure 6 This is a structural schematic diagram of a concrete mix ratio prediction device based on a visible spectrum sensor proposed in an embodiment of the present application, such as Figure 6As shown, the system includes a storage module 100 , a detection module 200 , a calculation module 300 and a prediction module 400 .

[0084] The storage module 100 is used to obtain standard base color data of concrete based on a fixed mix ratio, and store the standard base color data, multiple color data, and the concrete material mix ratio corresponding to each color data in a database.

[0085] The detection module 200 is used to detect the base color data of concrete obtained according to a fixed mix ratio at the mixing site through a visible spectrum sensor, and to detect the color data of the concrete to be repaired.

[0086] The calculation module 300 is used to calculate the primary color data difference between the standard primary color data and the primary color data detected on site, and to sequentially calculate the color data difference between each stored color data and the color data detected on site.

[0087] The prediction module 400 is used to compare the base color data difference and the color data difference with the corresponding preset thresholds, generate corresponding concrete repair material ratio suggestions according to the comparison results, and mix concrete according to the ratio suggestions, wherein the ratio suggestions include the ratios stored in the database corresponding to the comparison results.

[0088] Optionally, in one embodiment of the present application, the prediction module 400 is specifically used to: select any color data difference from all color data differences corresponding to multiple color data; when the base color data difference is less than a first threshold and any color data difference is less than a second threshold, directly output the concrete material ratio corresponding to any color data difference stored in the database.

[0089] Optionally, in one embodiment of the present application, the prediction module 400 is specifically used to: when the base color data difference is less than a first threshold and all color data differences are greater than a second threshold, select a minimum color data difference from all color data differences; and output the concrete material ratio corresponding to the minimum color data difference stored in the database.

[0090] Optionally, in one embodiment of the present application, the prediction module 400 is specifically used to: when the base color data difference is greater than a first threshold, compensate and adjust the base color data and color data detected on site according to the base color error; recalculate the base color data difference between the standard base color data and the compensated base color data, and calculate the color data difference between each stored color data and the compensated color data in turn, and generate a corresponding concrete repair material ratio recommendation according to the updated data difference.

[0091] Optionally, in one embodiment of the present application, the prediction module 400 is specifically used to: convert the primary color data and color data detected on-site into the Lab color space, and calculate the offset value between the standard primary color data and the primary color data detected on-site in the Lab color space; reversely offset the primary color data and color data detected on-site according to the offset value, and convert the primary color data and color data after the offset correction into the original data format.

[0092] Optionally, in one embodiment of the present application, the detection module 200 is specifically used to: place a visible spectrum sensor on the concrete to be repaired, and identify reflected light information of the concrete to be repaired through the visible spectrum sensor to obtain 8-channel spectral data.

[0093] Optionally, in one embodiment of the present application, the calculation module 300 is specifically used to: for the primary color data and the color data, respectively calculate the average square error between the detected spectral data and the stored spectral data, wherein the average square error is calculated by the following formula:

[0094]

[0095] in, MSE represents the mean square error, x i represents the detected spectral data, y i Represents the stored spectral data, n Indicates the number of calculations.

[0096] It should be noted that the above explanation of the embodiment of the concrete mix ratio prediction method based on the visible spectrum sensor is also applicable to the system of this embodiment, and will not be repeated here.

[0097] In summary, the concrete mix ratio prediction device based on the visible spectrum sensor in the embodiment of the present application greatly optimizes the concrete repair process, can effectively assist workers to efficiently repair concrete defects, save repair costs, and improve repair efficiency. In addition, the device improves the accuracy of predicting the ratio of concrete repair materials, can significantly reduce the color difference between the local and the whole concrete after repair, and ensures the appearance quality of the concrete.

[0098] In order to implement the above embodiments, the present application also proposes an electronic device, which includes: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute instructions to implement a concrete mix ratio prediction method based on a visible spectrum sensor as described in any one of the above first aspect embodiments.

[0099] In one embodiment of the present application, the electronic device includes the visible spectrum sensor and display screen in the above embodiment, and the database in the above method embodiment is set in its memory to store standard base color data, multiple color data and concrete material ratio corresponding to each color data. The concrete ratio prediction function in the above embodiment can be realized through the electronic device.

[0100] In order to implement the above embodiments, the present application also proposes a non-temporary computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the concrete mix ratio prediction method based on a visible spectrum sensor as described in any one of the above embodiments is implemented.

[0101] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0102] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0103] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0104] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0105] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0106] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0107] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0108] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A concrete mix ratio prediction method based on a visible spectrum sensor, characterized in that: The following steps are involved: Obtaining standard base color data of concrete based on a fixed mix ratio, and storing the standard base color data, multiple color data, and the concrete material mix ratio corresponding to each color data in a database; Using a visible spectrum sensor to detect base color data of concrete obtained at the mixing site according to the fixed mix ratio, and to detect color data of the concrete to be repaired; Calculating the primary color data difference between the standard primary color data and the primary color data detected on site, and sequentially calculating the color data difference between each stored color data and the color data detected on site; The base color data difference and the color data difference are respectively compared with corresponding preset thresholds, a corresponding concrete repair material ratio suggestion is generated according to the comparison result, and concrete is mixed according to the ratio suggestion, wherein the ratio suggestion includes the ratio stored in the database corresponding to the comparison result, wherein the preset threshold includes: a first threshold corresponding to the base color data difference; The generating of corresponding concrete repair material ratio suggestions according to the comparison results also includes: When the primary color data difference is greater than the first threshold, compensating and adjusting the primary color data and color data detected on site according to the primary color error; Recalculating the base color data difference between the standard base color data and the base color data after compensation adjustment, and sequentially calculating the color data difference between each stored color data and the color data after compensation adjustment, and generating corresponding concrete repair material ratio recommendations according to the updated data difference; The compensating and adjusting the primary color data and color data detected on site according to the primary color error includes: Converting the primary color data and color data detected on site into a Lab color space, and calculating an offset value between the standard primary color data and the primary color data detected on site in the Lab color space; The primary color data and color data detected on site are reversely offset according to the offset value, and the primary color data and color data after the offset correction are converted into the original data format.

2. The prediction method according to claim 1, characterized in that: The preset threshold value includes: a second threshold value corresponding to the color data difference value, and the generating of a corresponding concrete repair material ratio suggestion according to the comparison result includes: Selecting any color data difference from all color data differences corresponding to the plurality of color data; When the base color data difference is smaller than the first threshold value, and the any color data difference is smaller than the second threshold value, the concrete material proportion corresponding to the any color data difference stored in the database is directly output.

3. The prediction method according to claim 2, characterized in that: The generating of corresponding concrete repair material ratio suggestions according to the comparison results also includes: When the primary color data difference is smaller than the first threshold value, and all the color data difference values ​​are larger than the second threshold value, selecting a minimum color data difference value from all the color data difference values; The concrete material ratio corresponding to the minimum color data difference value stored in the database is output.

4. The prediction method according to claim 1, characterized in that: The method of detecting the color data of the concrete to be repaired includes: The visible spectrum sensor is placed on the concrete to be repaired, and the reflected light information of the concrete to be repaired is identified by the visible spectrum sensor to obtain 8-channel spectrum data.

5. The prediction method according to claim 4, characterized in that: Calculating the primary color data difference and the color data difference includes: For the primary color data and the color data, the average square error between the detected spectral data and the stored spectral data is calculated respectively, wherein the average square error is calculated by the following formula: in, MSE represents the mean square error, x i represents the detected spectral data, y i Represents the stored spectral data, n Indicates the number of calculations, i Is a positive integer.

6. A concrete mix ratio prediction device based on a visible spectrum sensor, characterized in that: Includes the following modules: A storage module, used to obtain standard base color data of concrete based on a fixed mix ratio, and store the standard base color data, multiple color data, and concrete material mix ratios corresponding to each color data in a database; A detection module, used to detect the base color data of concrete obtained according to the fixed mix ratio at the mixing site through a visible spectrum sensor, and detect the color data of the concrete to be repaired; A calculation module, used for calculating the primary color data difference between the standard primary color data and the primary color data detected on site, and sequentially calculating the color data difference between each stored color data and the color data detected on site; A prediction module, for comparing the base color data difference and the color data difference with corresponding preset thresholds, respectively, generating corresponding concrete repair material ratio suggestions according to the comparison results, and mixing concrete according to the ratio suggestions, wherein the ratio suggestions include the ratios stored in the database corresponding to the comparison results, wherein the preset thresholds include: a first threshold corresponding to the base color data difference; The prediction module is further configured to compensate and adjust the primary color data and color data detected on site according to the primary color error when the primary color data difference is greater than the first threshold value; Recalculating the base color data difference between the standard base color data and the base color data after compensation adjustment, and sequentially calculating the color data difference between each stored color data and the color data after compensation adjustment, and generating corresponding concrete repair material ratio recommendations according to the updated data difference; The compensating and adjusting the primary color data and color data detected on site according to the primary color error includes: Converting the primary color data and color data detected on site into a Lab color space, and calculating an offset value between the standard primary color data and the primary color data detected on site in the Lab color space; The primary color data and color data detected on site are reversely offset according to the offset value, and the primary color data and color data after the offset correction are converted into the original data format.

7. An electronic device comprising: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the concrete mix ratio prediction method based on a visible spectrum sensor as described in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the concrete mix ratio prediction method based on a visible spectrum sensor as described in any one of claims 1 to 5 is implemented.

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