A manufacturing method for producing decorative and finishing materials from construction waste

Abstract

The present invention relates to the field of preparation of decorative materials, and particularly to a manufacturing method for producing decorative and finishing materials from construction waste, including obtaining a preset component image of a target formed component; determining a region analysis method according to the proportion of the concave engraved region in the preset component image; determining a quality inspection method according to whether there is a concave engraved pattern in the preset component image of the target formed component, and the quality inspection method is to perform ultrasonic inspection or ray inspection on the target formed component; determining a preparation adjustment strategy for the target formed component according to the coincidence coefficient between the quality abnormal region and the concave engraved region of the target formed component, and the preparation adjustment strategy is to adjust the preparation grinding duration or the admixture amount of the activator. The present invention improves the accuracy of the quality inspection result for the target formed component, and further improves the effectiveness of the adjustment method for the preparation process of the target formed component.

Description

Technical Field

[0001] The present invention relates to the field of building material preparation, and particularly to a manufacturing method for producing decorative and finishing materials from construction waste. Background Art

[0002] The application of prefabricated walls is becoming increasingly widespread. Some prefabricated walls for decorative purposes have concave patterns, resulting in uneven thickness of the finished wall and discontinuous internal structure of the wall. Currently, the existing manufacturing methods for decorative prefabricated walls often fail to consider the impact of uneven thickness or discontinuous internal structure of the finished wall on the accuracy of quality inspection results. Therefore, how to make targeted adjustments to the quality inspection process according to the distribution of the concave patterns of the actual finished wall is an urgent problem for those skilled in the art.

[0003] Chinese Patent Application Publication No. CN111809863A discloses a pouring mold for a bamboo texture veneered concrete wall, including two integrally formed templates arranged opposite to each other. The integrally formed template is formed by splicing multiple single templates. Each single template includes a number of vertical ribs and a number of horizontal keels that intersect perpendicularly. Frame edges are fixedly provided on both vertical sides, a plywood board is fixedly provided on one side, a number of PVC boards are adhesively bonded on the outer side of the plywood board, a number of rows of bamboo board are fixedly arranged on the outer side of the number of PVC boards, a number of nail guns are inserted on both eaves of the bamboo board, sealant is filled in the joint gap between the bamboo board and the PVC board, an interval gap is provided between adjacent rows of bamboo boards, and the PVC board is exposed in the interval gap. A number of groups of fixing holes are oppositely opened on the two integrally formed templates. A tension rod is penetrated through each group of fixing holes. Two plugs are sleeved in the middle of the tension rod. The plugs seal the fixing holes on the inner lining. Clamps are sleeved on both outer ends of the tension rod. The two clamps press the integrally formed templates inward from the outside. The above solution has the following problems: It fails to determine a targeted area analysis method according to the actual distribution of the concave patterns of the target formed component, so as to adopt a targeted quality inspection method for different areas, resulting in low accuracy of the quality inspection results of the target formed component, and thus making it impossible to make timely and effective adjustments to the preparation process. Summary of the Invention

[0004] Therefore, the present invention provides a manufacturing method for producing decorative and finishing materials from construction waste to overcome the problem that the prior art fails to determine a targeted area analysis method according to the actual distribution of the concave patterns of the target formed component, so as to adopt a targeted quality inspection method for different areas, resulting in low accuracy of the quality inspection results of the target formed component.

[0005] To achieve the above object, the present invention provides a manufacturing method for producing decorative and finishing materials from construction waste, including:

[0006] Prepare a target material including recycled fine powder by using a preset production process, and manufacture a target formed component by using the target material;

[0007] Obtain a preset component image of the target formed component;

[0008] Determine a region analysis method according to the proportion of the engraved area in the preset component image. The region analysis method is to determine a set of similar regions according to the coincidence degree of the engraved patterns between each sub-image region and the forming difficulty coefficient, or to determine a region division method of the engraved area according to the proportion of a certain type of engraved pattern to obtain a key detection region;

[0009] Determine a quality detection method according to whether there is an engraved pattern in the preset component image of the target formed component. Among them, the quality detection method is to perform ultrasonic detection or ray detection on the target formed component;

[0010] Select a preparation adjustment strategy for the target formed component according to the coincidence coefficient between the quality abnormal region and the engraved region of the target formed component. The preparation adjustment strategy is to adjust the preparation grinding duration in the preparation process of the target material or to adjust the dosage of the activator in the preparation process of the target material.

[0011] Furthermore, the preset production process includes:

[0012] Grind the selected construction waste to obtain recycled fine powder;

[0013] Mix and stir the aggregate, recycled fine powder, fly ash, cement, water and activator according to a preset material ratio to obtain the target material.

[0014] Furthermore, if the proportion of the engraved area in the preset component image is greater than the preset engraved area proportion, perform region division on the preset component image to obtain a number of sub-image regions;

[0015] Detect the coincidence degree of the engraved patterns corresponding to each sub-image region and the forming difficulty coefficient, and determine a set of similar regions according to the coincidence degree of the engraved patterns corresponding to each sub-image region and the forming difficulty coefficient.

[0016] Furthermore, if the proportion of the engraved area in the preset component image is less than or equal to the preset engraved area proportion, detect the proportion of a certain type of engraved pattern in the preset component image, and determine the region division method of the engraved area according to the proportion of a certain type of engraved pattern. Among them,

[0017] If the proportion of a certain type of engraved pattern is greater than the preset proportion of a certain type of engraved pattern, determine a number of key detection regions according to the engraved depth difference value;

[0018] If the proportion of a type of concave engraving pattern is less than or equal to the preset proportion of the type of concave engraving pattern, divide the preset component image according to the interval distance corresponding to the concave engraving pattern to obtain the key detection area;

[0019] The type of concave engraving pattern is the pattern of the concave engraving area with a concave engraving depth greater than the preset concave engraving depth.

[0020] Further, determine the quality detection method according to whether there is a sub-image area in the preset component image of the target formed component,

[0021] If there is a sub-image area in the preset component image of the target formed component, it is determined that ray detection is performed on the target formed component, and the quality analysis strategy is determined according to the proportion of the concave engraving area;

[0022] If there is no sub-image area in the preset component image of the target formed component, it is determined that ultrasonic detection is performed on the target formed component.

[0023] Further, under the first detection condition, ray detection is respectively performed on the corresponding component parts of each similar area set. Among them, the image quality coefficient of the ray detection image of the corresponding component part of a single similar area set is detected. If the image quality coefficient is less than or equal to the preset image quality coefficient, the detection tube current for detecting this similar area set is increased and adjusted according to the image quality coefficient;

[0024] The increase value of the detection tube current has a negative correlation with the image quality coefficient;

[0025] The image quality coefficient is determined according to the contrast reference value and the clarity reference value of the ray detection image;

[0026] The first detection condition is that the proportion of the concave engraving area in the preset component image is greater than the preset proportion of the concave engraving area.

[0027] Further, under the second detection condition, ray detection is respectively performed on the corresponding component parts of each key detection area, and the imaging angle richness for detecting the corresponding component parts is set according to the division parameters of each key detection area. Among them,

[0028] If the division parameter of the key detection area is the concave engraving depth difference value, the imaging angle richness is determined according to the average concave engraving depth reference value of this key detection area;

[0029] If the division parameter of the key detection area is the interval distance, the imaging angle richness is determined according to the average interval distance of this key detection area;

[0030] The second detection condition is that the proportion of the concave engraving area in the preset component image is greater than the preset proportion of the concave engraving area.

[0031] Further, the coincidence coefficient between the quality abnormal area and the concave area of the target formed component is detected, and the preparation adjustment strategy for the target formed component is determined according to the coincidence coefficient. The preparation adjustment strategy is to increase the preparation grinding duration or the admixture amount of the activator.

[0032] Further, if the coincidence coefficient between the quality abnormal area and the concave area is greater than the preset coincidence coefficient, the preparation grinding duration of the recycled fine powder is increased according to the proportion of the quality abnormal area;

[0033] The increased value of the preparation grinding duration is positively correlated with the proportion of the quality abnormal area.

[0034] Further, if the coincidence coefficient between the quality abnormal area and the concave area is less than or equal to the preset coincidence coefficient, the admixture amount of the activator is increased according to the proportion of the quality abnormal area;

[0035] The increased value of the admixture amount of the activator is positively correlated with the proportion of the quality abnormal area.

[0036] Compared with the prior art, the beneficial effect of the present invention is that the technical solution of the present invention analyzes the preset component image of the target formed component to obtain the similar area set or the key detection area, and determines the targeted quality detection method based on this. The present invention improves the accuracy of the quality detection result of the target formed component, and further improves the effectiveness of the adjustment method for the preparation process of the target formed component.

[0037] Further, in the present invention, the area analysis method of the preset component image is determined according to the proportion of the concave area of the preset component image of the target formed component. If the proportion of the concave area is greater than the preset proportion of the concave area, the similar area set is determined by the coincidence degree of the concave pattern and the forming difficulty coefficient. Subsequently, the same quality detection method and detection parameters are adopted for each single similar area set, which improves the quality detection efficiency of the target formed component while ensuring the accuracy of the quality detection result.

[0038] Further, when the proportion of the concave area is less than or equal to the preset proportion of the concave area in the present invention, the area division method is determined according to the proportion of a certain type of concave pattern. If the proportion of a certain type of concave pattern is greater than the preset proportion of a certain type of concave pattern, the key detection area is divided according to the difference value of the concave depth, so as to avoid the large thickness difference of the target formed components in a single key detection area affecting the accuracy of the quality detection result of this part of the target formed components. If the proportion of a certain type of concave pattern is less than or equal to the preset proportion of a certain type of concave pattern, the division is carried out according to the interval distance between each concave pattern, so as to ensure the pertinence of the quality detection methods for different subsequent areas.

[0039] Furthermore, in the present invention, the preparation adjustment strategy of the target forming member is determined according to the coincidence coefficient between the quality abnormal area and the concave area, and a targeted adjustment strategy is determined by combining the previous analysis of the concave area and the quality inspection results, making the adjustment strategy for the target forming member more in line with the actual situation, and the present invention improves the effectiveness of the adjustment method for the preparation process of the target forming member. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the manufacturing method of the present invention for producing decorative and finishing materials from construction waste;

[0041] Figure 2 It is a flowchart of the method for the present invention to determine the area analysis method of the preset component image according to the proportion of the concave area of the preset component image;

[0042] Figure 3 It is a flowchart of the method for the present invention to determine the quality inspection method according to whether there is a concave pattern in the preset component image of the target forming member;

[0043] Figure 4 It is a flowchart of the method for the present invention to determine the preparation adjustment strategy of the target forming member according to the coincidence coefficient. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] In order to make the objectives and advantages of the present invention more clear and understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0045] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0046] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0047] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0048] Please refer to Figures 1 to 4 As shown, an embodiment of the present invention provides a manufacturing method for producing decorative and finishing materials from construction waste, including:

[0049] Preparing a target material including recycled fine powder using a preset production process, and manufacturing a target formed component using the target material;

[0050] Obtaining a preset component image of the target formed component;

[0051] Determining a region analysis method according to the proportion of the concave region in the preset component image, where the region analysis method is to determine a set of similar regions according to the coincidence degree of the concave patterns between each sub-image region and the forming difficulty coefficient, or to determine a region division method of the concave region according to the proportion of a certain type of concave pattern to obtain a key detection region;

[0052] Determining a quality inspection method according to whether there is a concave pattern in the preset component image of the target formed component, where the quality inspection method is to perform ultrasonic inspection or ray inspection on the target formed component;

[0053] Selecting a preparation adjustment strategy for the target formed component according to the coincidence coefficient between the quality abnormal region and the concave region of the target formed component, where the preparation adjustment strategy is to adjust the preparation grinding duration in the process of preparing the target material or to adjust the admixture amount of the activator in the process of preparing the target material.

[0054] Among them, the application scenario of the present invention is an assembled wall with concave patterns prepared from construction waste. The assembled wall has only one concave surface. The concave surface is one side surface of the assembled wall with concave patterns. The concave patterns are of any shape and have an area smaller than any sub-image area. The thickness of the target forming member corresponding to the corresponding part of the concave pattern is smaller than the wall thickness of the target forming member. The concave surface is divided into several rectangular areas with the same area. If at least one complete concave image is included in a rectangular area, then the rectangular area is a sub-image area. If no complete concave image exists in a rectangular area, then the rectangular area is an invalid area. The concave area is the set of each sub-image area. In the present invention, the target forming member is the prepared assembled wall. In the present invention, the depth of each concave pattern is smaller than the thickness of the target forming member, and the thickness is the wall thickness of the target forming member, which will not be elaborated here.

[0055] In the present invention, there are several corresponding preparation history records. Any one of the preparation history records records at least once the concave pattern coincidence degree, concave area ratio, difficulty coefficient difference value, proportion of one type of concave pattern, concave depth difference value, spacing distance, concave depth, image quality coefficient, and coincidence coefficient in the historical manufacturing process of producing decorative and finishing materials from construction waste. And each preparation history record corresponds to a qualified mark, and the qualified mark records whether the accuracy of the quality inspection result of the target forming member meets the user requirements.

[0056] Specifically, the preset production process includes:

[0057] Grind the selected construction waste to obtain recycled fine powder;

[0058] Mix and stir the aggregate, recycled fine powder, fly ash, cement, water, and activator according to the preset material ratio to obtain the target material.

[0059] Among them, the preparation process of the recycled fine powder includes crushing and grinding the selected construction waste according to the preparation grinding duration, and performing heat treatment on the crushed and ground construction waste to obtain the recycled fine powder. The construction waste used for preparing the recycled fine powder includes brick waste and concrete waste. The heat treatment is to dry the target raw material after crushing and grinding. The heat treatment process uses a dryer to heat the crushed and ground construction waste with a heat source to evaporate the moisture in it. Provide a preset material ratio of a target material. The preset material ratio is: aggregate 1000 - 1200 kg / m 3 , recycled fine powder 50 - 100 kg / m 3 , fly ash 50 - 150 kg / m 3 , cement 300 - 400 kg / m 3 , water 150 - 200 kg / m3 , the addition amount of the activator is 2% of the mass of the target material. The obtained target material is poured into the precast mold of the target forming member, and the target forming member is obtained by using a preset curing process. The preset curing process includes: after the concrete is poured, the surface is leveled, and a wet cloth or plastic film is covered to keep it moist. The precast is sent into a steam curing chamber, and the hydration reaction of the concrete is accelerated by controlling the temperature and humidity to reach the design strength. After the steam curing is completed, the precast is placed in a well-ventilated environment for natural hardening. Users can set according to the actual preparation needs for the preset material ratio, precast mold, and preset curing process. This is easy to understand for those skilled in the art and will not be elaborated here.

[0060] Specifically, if the proportion of the recessed area in the preset component image is greater than the preset recessed area proportion, the preset component image is divided into regions to obtain a number of sub-image regions;

[0061] The coincidence degree of the recessed patterns and the forming difficulty coefficient corresponding to each sub-image region are detected, and a set of similar regions is determined according to the coincidence degree of the recessed patterns and the forming difficulty coefficient corresponding to each sub-image region.

[0062] Among them, the proportion of the recessed area = (the sum of the horizontal areas of each recessed pattern / the area of the side surface of the target forming member with recessed patterns) × 100%. The value of the preset recessed area proportion can be determined by the user according to the actual working scenario. For example, the user can set it according to the preparation history record. The higher the user's requirement for the accuracy of the quality inspection result, the smaller the value of the preset recessed area proportion. A method for obtaining the value of the preset recessed area proportion is provided. The preparation history record for determining the set of similar regions according to the coincidence degree of the recessed patterns is recorded as the region reference record, and the minimum value of the proportion of the recessed area in the region reference record that meets the user's requirement for the accuracy of the quality inspection result is recorded as the preset recessed area proportion. A value of the preset recessed area proportion is provided, and the value of the preset recessed area proportion is 40%.

[0063] The coincidence degree of the concave patterns = the number of coincident concave patterns / the maximum of the number of regional patterns in the two sub-image regions. For a single concave pattern, if there is a concave pattern in another sub-image region that is identical to it in terms of shape, size, and depth, then this concave pattern is determined to be the coincident concave pattern of these two sub-image regions. Denote the number of concave patterns in each sub-image region as the number of regional patterns of the corresponding sub-image region. The user can determine the value of the preset pattern coincidence degree according to the actual working scenario. For example, the user can set it according to the preparation history record. The higher the user's requirement for the accuracy of the quality inspection result, the larger the value of the preset pattern coincidence degree. Provide a value of the preset pattern coincidence degree, and denote the minimum value of the coincidence degree of the concave patterns between the sub-image regions in each similar region set in the regional reference record that meets the user's requirement for the accuracy of the quality inspection result as the preset pattern coincidence degree. When determining the similar region set only based on the coincidence degree of the concave patterns, the coincidence degree of the concave patterns between any two sub-image regions in any similar region set is greater than the preset pattern coincidence degree, and for any sub-image region, the sub-image region corresponding to its maximum concave pattern coincidence degree is in the same similar region set;

[0064] If it is impossible to determine a similar region set for each sub-image region in the preset component image based on the coincidence degree of the concave patterns, that is, there is at least one sub-image region whose coincidence degree of the concave patterns with other sub-image regions is less than or equal to the preset pattern coincidence degree, then determine the similar region set according to the forming difficulty coefficient of each sub-image region. The difference value of the difficulty coefficients of any obtained similar region set is less than the preset coefficient difference value. For a single sub-image region, the forming difficulty coefficient is the sum of the products of the number of key features of each category included in the sub-image region and the key coefficients of the key features of the corresponding category. The categories of abnormal features include, but are not limited to, rounded corners with a radius less than 5 cm and corners with an angle less than 30°. The user can set the key features and the key coefficients of the key features of each category according to the actual working scenario, which will not be elaborated here. For a single similar region set, the difference value of the difficulty coefficients is the difference obtained by subtracting the minimum value of the forming difficulty coefficients of the sub-image regions in the similar region set from the maximum value. The user can determine the value of the preset coefficient difference value according to the actual working scenario. For example, the user can set it according to the preparation history record. Denote the preparation history record for determining the similar region set according to the forming difficulty coefficient as the coefficient reference record, and denote the average value of the difference values of the difficulty coefficients of each similar region set in the coefficient reference record that meets the user's requirement for the accuracy of the quality inspection result as the preset coefficient difference value; There are several similar region sets in the preset component image, and the number of similar region sets is set according to the actual working scenario. There are at least two sub-image regions in any similar region set, and any sub-image region corresponds to a similar region set.

[0065] Specifically, if the proportion of the concave engraving area in the preset component image is less than or equal to the preset proportion of the concave engraving area, detect the proportion of a type of concave engraving pattern in the preset component image, and determine the regional division method of the concave engraving area according to the proportion of the a type of concave engraving pattern, where,

[0066] if the proportion of the a type of concave engraving pattern is greater than the preset proportion of the a type of concave engraving pattern, determine the key detection area according to the difference value of the concave engraving depth;

[0067] if the proportion of the a type of concave engraving pattern is less than or equal to the preset proportion of the a type of concave engraving pattern, divide the preset component image according to the interval distance corresponding to the concave engraving pattern to obtain the key detection area;

[0068] The a type of concave engraving pattern is the concave engraving area pattern with a concave engraving depth greater than the preset concave engraving depth.

[0069] Among them, the proportion of the a type of concave engraving pattern = the number of the a type of concave engraving patterns in the preset component image / the number of concave engraving patterns in the preset component image. The user can determine the value of the preset proportion of the a type of concave engraving pattern according to the actual working scenario. The higher the user's requirement for the accuracy of the quality detection result, the smaller the value of the preset proportion of the a type of concave engraving pattern. Provide a value of the preset proportion of the a type of concave engraving pattern, and the value of the preset proportion of the a type of concave engraving pattern is 0.5;

[0070] If the proportion of the a type of concave engraving pattern is greater than the preset proportion of the a type of concave engraving pattern, detect the difference value of the concave engraving depth between each concave engraving pattern, and determine several key detection areas according to the difference value of the concave engraving depth. For a single key detection area, the difference value of the concave engraving depth of each concave engraving pattern in the key detection area is less than the preset difference value of the concave engraving depth. The difference value of the concave engraving depth = the sum of the absolute values of the differences between the concave engraving depths of each concave engraving pattern in the key detection area and the average concave engraving depth / the number of concave engraving patterns in the key detection area. The average concave engraving depth is the average value of the concave engraving depths of each concave engraving pattern in the key detection area. The value of the preset difference value of the concave engraving depth can be determined by the user according to the actual working scenario. The higher the user's requirement for the accuracy of the quality detection result, the smaller the value of the preset difference value of the concave engraving depth. Provide a value of the preset difference value of the concave engraving depth, and the value of the preset difference value of the concave engraving depth is 5% of the thickness of the target formed component;

[0071] If the proportion of a type of concave pattern is less than or equal to the preset proportion of the type of concave pattern, the spacing distance between each concave pattern is detected, and the preset component image is divided according to the spacing distance between each concave pattern to obtain several key detection regions. For a single key detection region, the spacing distance between any two adjacent concave patterns within the key detection region is less than the preset spacing distance. If the line connecting the associated points of two concave patterns does not pass through the region of other concave patterns, then the two concave patterns are determined to be adjacent concave patterns, and the spacing distance between the two adjacent concave patterns is the length of the line segment obtained by connecting the corresponding two associated points. The associated points of the two concave patterns are the two points on the edges of the two concave patterns with the closest distance. The user can set the value of the preset spacing distance according to actual needs and historical records. The higher the user's requirement for the accuracy of the quality inspection result, the smaller the value of the preset spacing distance. A value of the preset spacing distance is provided, and the value of the preset spacing distance is 5% of the short side length of the concave surface. In the present invention, the number of key detection regions is determined according to the actual working scenario, and not all regions in the preset component image correspond to key detection regions.

[0072] For a single concave pattern, its concave depth is the distance between the deepest point of the concave pattern and the surface of the concave surface. The value of the preset concave depth can be determined by the user according to the actual working scenario. The higher the user's requirement for the accuracy of the quality inspection result, the smaller the value of the preset concave depth. A value of the preset concave depth is provided, and the value of the preset concave depth is 50% of the target formed component.

[0073] Specifically, the quality inspection method is determined according to whether there is a sub-image region in the preset component image of the target formed component.

[0074] If there is a sub-image region in the preset component image of the target formed component, it is determined to perform ray detection on the target formed component, and the quality analysis strategy is determined according to the proportion of the concave region.

[0075] If there is no sub-image region in the preset component image of the target formed component, it is determined to perform ultrasonic detection on the target formed component.

[0076] Among them, the ray detection is X-ray imaging detection. The X-ray penetrates the target formed component. Due to the differences in the internal structure of the target formed component, the X-ray will be absorbed and scattered to different degrees during the penetration process. These absorbed and scattered X-rays are received by a digital flat panel detector and converted into electrical signals, and then processed by a computer to finally form a digital image. The present invention does not make specific restrictions on the equipment used for ultrasonic detection and ray detection. The user can perform adaptive settings according to the actual scenario. How to perform ultrasonic detection and X-ray imaging detection on the target formed component is easily understood by those skilled in the art and will not be elaborated here.

[0077] Specifically, under the first detection condition, ray detection is respectively performed on the corresponding component parts of each set of similar regions. Among them, for the image quality coefficient of the ray detection image of the corresponding component part of a single set of similar regions, if the image quality coefficient is less than or equal to the preset image quality coefficient, the detection tube current for detecting this set of similar regions is increased and adjusted according to the image quality coefficient;

[0078] The increased value of the detection tube current has a negative correlation with the image quality coefficient;

[0079] The image quality coefficient is determined according to the contrast reference value and the clarity reference value of the ray detection image;

[0080] The first detection condition is that the proportion of the concave region in the preset component image is greater than the preset concave region proportion.

[0081] Among them, the corresponding component parts of each set of similar regions are the target forming components corresponding to the sub-image regions of each set of similar regions. The image quality coefficient is the natural logarithm of the product of the contrast reference value and the clarity reference value. The contrast reference value is the absolute value of the difference between the gray values of the detected defect region and the background region. The background region is the ray detection image except the defect region. The clarity reference value is the slope of the image gray change curve within the penumbra width; The user can determine the value of the preset image quality according to the actual working scenario. For example, the user can set it according to the preparation history record. The higher the user's accuracy requirement for the quality detection result, the larger the value of the preset image quality coefficient. A method for obtaining the value of the preset image quality is provided. The average value of the image quality coefficients of the ray detection images in the preparation history record that meet the user's accuracy requirement for the corresponding quality detection result is recorded as the preset image quality coefficient. If the image quality coefficient is greater than the preset image quality coefficient, the current detection tube current is not adjusted. The detection tube current is the number of electrons transferred from the cathode to the anode per unit time. The detection tube current determines the light flux of the X-ray. How to adjust the detection tube current is easy for those skilled in the art to understand and will not be elaborated here.

[0082] Specifically, under the second detection condition, ray detection is respectively performed on the corresponding component parts of each key detection region, and the imaging angle richness for detecting the corresponding component parts is set according to the division parameters of each key detection region, where,

[0083] If the division parameter of the key detection region is the difference value of the concave depth, the imaging angle richness is determined according to the average concave depth reference value of this key detection region;

[0084] If the division parameter of the key detection area is the interval distance, the imaging angle richness is determined according to the average interval distance of the key detection area;

[0085] The second detection condition is that the proportion of the concave area of the preset component image is greater than the preset concave area proportion.

[0086] Among them, the imaging angle richness has a positive correlation with the average concave depth reference value, and the imaging angle richness has a negative correlation with the average interval distance; the corresponding component parts of each key detection area are the target forming components corresponding to the corresponding parts of the sub-image areas of each key detection area. The division parameters include the concave depth difference value and the interval distance between each concave pattern. If the key detection area is determined according to the concave depth difference value, it is determined that the division parameter of the key detection area is the concave depth difference value. If the key detection area is determined according to the interval distance between each concave pattern, it is determined that the division parameter of the key detection area is the interval distance between each concave pattern;

[0087] The imaging angle richness is the number of different ray projection angles on the surface of the target forming component when performing ray detection on the key detection area. The average concave depth reference value is the average of the concave depths of each concave pattern in the key detection area. The average interval distance is the average of the interval distances between each adjacent concave pattern in the key detection area. By projecting X-rays from different angles and performing multiple detections and superpositions, the information loss or ambiguity of the detection results caused by uneven thickness can be compensated, and the comprehensiveness and reliability of the detection can be improved; for the target forming component outside the corresponding part of the key detection area, ultrasonic detection is used.

[0088] Specifically, the coincidence coefficient between the quality abnormal area and the concave area of the target forming component is detected, and the preparation adjustment strategy of the target forming component is determined according to the coincidence coefficient. The preparation adjustment strategy is to increase the adjustment for the preparation grinding time or the admixture amount of the activator.

[0089] Among them, the coincidence coefficient between the quality abnormal area and the concave area of the target forming component = the area of the abnormal overlap area / the area of the quality abnormal area. The abnormal overlap area is the overlap area between the quality abnormal area and the concave area of the target forming component. The quality abnormal area is the area with quality defects after the quality detection is completed, that is, after the ultrasonic detection or the ray detection is completed. The quality defects of the target forming component in the present invention include, but are not limited to, the existence of cracks and the component strength not meeting the user requirements. How to judge whether the quality of the corresponding component parts of each image area meets the user requirements according to the ultrasonic detection results and the X-ray detection results is easy to understand for those skilled in the art and will not be elaborated here.

[0090] Specifically, if the coincidence coefficient of the quality abnormal area and the concave area is greater than the preset coincidence coefficient, the preparation grinding duration of the recycled fine powder is increased according to the proportion of the quality abnormal area;

[0091] The increased value of the preparation grinding duration is positively correlated with the proportion of the quality abnormal area.

[0092] Among them, the user can determine the value of the preset coincidence coefficient according to the actual working scenario. For example, the user can set it according to the preparation history record, and a method for obtaining the value of the preset coincidence coefficient is provided. The preparation history record that only adjusts the admixture amount of the activator to make the quality of the target formed component meet the user's needs is recorded as the reference record, and the maximum value of the coincidence coefficient of the quality abnormal area and the concave area in the reference record is recorded as the preset coincidence coefficient;

[0093] The preparation grinding duration is the grinding duration of the construction waste during the preparation of the recycled fine powder. Since the quality abnormal area is mainly concentrated in the concave area, it is necessary to adjust the fluidity of the concrete during the preparation process. By increasing the preparation grinding duration of the recycled fine powder, the fluidity can be effectively improved, thereby improving the quality of the target formed component.

[0094] Specifically, if the coincidence coefficient of the quality abnormal area and the concave area is less than or equal to the preset coincidence coefficient, the admixture amount of the activator is increased according to the proportion of the quality abnormal area;

[0095] The increased value of the admixture amount of the activator is positively correlated with the proportion of the quality abnormal area.

[0096] Among them, the admixture amount of the activator is the addition amount of the activator during the preparation of the target material. The activator used in the present invention is quicklime. From the fact that the coincidence coefficient of the quality abnormal area and the concave area is less than or equal to the preset coincidence coefficient, it can be seen that the reason for the defects in the target formed component has nothing to do with the fluidity of the concrete. Therefore, it is necessary to increase the admixture amount of quicklime to improve the compressive strength of the target formed component.

[0097] Table 1: Defective product rate records of each batch of target formed components prepared by using the above manufacturing method and without using the above manufacturing method

[0098]

[0099]

[0100] Note: In Table 1, the defective rate A is the defective rate of a single batch prepared by using the above manufacturing method, and the defective rate B is the defective rate of a single batch not prepared by using the above manufacturing method. The initial manufacturing parameters and the curing process in the two preparation processes within the same embodiment are the same. The initial manufacturing parameters are the preset material ratio and the preparation grinding duration. The number of target formed components obtained in each batch is 500.

[0101] According to Examples 1 to 4 in Table 1, it shows that when there is a quality abnormal area and the coincidence coefficient is large, after adjusting the preparation grinding duration according to the preparation adjustment strategy in the present invention, the defective rate of the obtained target formed component is effectively improved. According to Examples 5 to 8 in Table 1, it shows that when there is a quality abnormal area and the coincidence coefficient is small, after adjusting the admixture content of the activator according to the preparation adjustment strategy in the present invention, the defective rate of the obtained target formed component is effectively improved, proving that the above manufacturing method improves the accuracy of the quality detection result of the target formed component and the effectiveness of the adjustment of the preparation process.

[0102] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0103] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A manufacturing method for producing decorative and finishing materials from construction waste, characterized in that, Including: Preparing a target material including recycled fine powder by using a preset production process, and manufacturing a target formed component by using the target material; Obtaining a preset component image of the target formed component; Determining a region analysis method according to the proportion of the engraved area of the preset component image, where the region analysis method is to determine a set of similar regions according to the coincidence degree of the engraved patterns between sub-image regions and the forming difficulty coefficient, or to determine a region division method of the engraved area according to the proportion of a certain type of engraved pattern to obtain a key detection region; Determining a quality detection method according to whether there is an engraved pattern in the preset component image of the target formed component, where the quality detection method is to perform ultrasonic detection or ray detection on the target formed component; Selecting a preparation adjustment strategy for the target formed component according to the coincidence coefficient between the quality abnormal region and the engraved region of the target formed component, where the preparation adjustment strategy is to adjust the preparation grinding duration in the preparation process of the target material or to adjust the dosage of the activator in the preparation process of the target material; The proportion of the engraved area = (the sum of the horizontal areas of each engraved pattern / the area of the side surface of the target formed component with engraved patterns) × 100%, the coincidence degree of the engraved patterns = the number of coincident engraved patterns / the maximum value of the number of regional patterns of the two sub-image regions. For a single engraved pattern, if there is an engraved pattern in another sub-image region that is identical in shape, size, and depth to this engraved pattern, then it is determined that this engraved pattern is the coincident engraved pattern of these two sub-image regions. The number of engraved patterns in each sub-image region is recorded as the number of regional patterns of the corresponding sub-image region. For a single sub-image region, the forming difficulty coefficient is the sum of the products of the number of key features of each category contained in this sub-image region and the key coefficients of the corresponding key features. The proportion of a certain type of engraved pattern = the number of a certain type of engraved pattern in the preset component image / the number of engraved patterns in the preset component image. The coincidence coefficient between the quality abnormal region and the engraved region of the target formed component = the area of the abnormal overlapping region / the area of the quality abnormal region. The abnormal overlapping region is the overlapping region between the quality abnormal region and the engraved region of the target formed component. The quality abnormal region is the region with quality defects after the quality detection is completed, that is, after the ultrasonic detection or ray detection is completed.

2. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 1, characterized in that, The preset production process includes: Grinding the selected construction waste to obtain recycled fine powder; Mixing and stirring the aggregate, recycled fine powder, fly ash, cement, water, and activator according to a preset material ratio to obtain the target material.

3. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 2, characterized in that, If the proportion of the engraved area of the preset component image is greater than the preset engraved area proportion, dividing the preset component image to obtain several sub-image regions; Detecting the coincidence degree of the engraved patterns and the forming difficulty coefficient corresponding to each sub-image region, and determining a set of similar regions according to the coincidence degree of the engraved patterns and the forming difficulty coefficient corresponding to each sub-image region.

4. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 3, characterized in that, If the proportion of the engraved area of the preset component image is less than or equal to the preset engraved area proportion, detecting the proportion of a certain type of engraved pattern of the preset component image, and determining a region division method of the engraved area according to the proportion of a certain type of engraved pattern, where If the proportion of a type of concave engraving pattern is greater than the preset proportion of the type of concave engraving pattern, several key detection regions are determined according to the difference value of the concave engraving depth; If the proportion of the type of concave engraving pattern is less than or equal to the preset proportion of the type of concave engraving pattern, the preset component image is divided according to the interval distance corresponding to the concave engraving pattern to obtain key detection regions; The type of concave engraving pattern is the concave engraving region pattern with a concave engraving depth greater than the preset concave engraving depth.

5. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 4, characterized in that, Determine the quality detection method according to whether there is a sub-image region in the preset component image of the target formed component, If there is a sub-image region in the preset component image of the target formed component, it is determined that ray detection is performed on the target formed component, and the quality analysis strategy is determined according to the proportion of the concave engraving region; If there is no sub-image region in the preset component image of the target formed component, it is determined that ultrasonic detection is performed on the target formed component.

6. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 5, characterized in that, Under the first detection condition, ray detection is respectively performed on the corresponding component parts of each similar region set. Among them, the image quality coefficient of the ray detection image of the corresponding component part of a single similar region set is detected. If the image quality coefficient is less than or equal to the preset image quality coefficient, the detection tube current for detecting this similar region set is increased and adjusted according to the image quality coefficient; The increased value of the detection tube current has a negative correlation with the image quality coefficient; The image quality coefficient is determined according to the contrast reference value and the clarity reference value of the ray detection image; The first detection condition is that the proportion of the concave engraving region in the preset component image is greater than the preset proportion of the concave engraving region.

7. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 6, characterized in that, Under the second detection condition, ray detection is respectively performed on the corresponding component parts of each key detection region, and the imaging angle richness for detecting the corresponding component parts is set according to the division parameters of each key detection region. Among them, If the division parameter of the key detection region is the difference value of the concave engraving depth, the imaging angle richness is determined according to the average concave engraving depth reference value of this key detection region; If the division parameter of the key detection region is the interval distance, the imaging angle richness is determined according to the average interval distance of this key detection region; The second detection condition is that the proportion of the concave engraving region in the preset component image is greater than the preset proportion of the concave engraving region; The imaging angle richness is the number of different ray projection angles on the surface of the target formed component when ray detection is performed on the key detection region.

8. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 7, characterized in that, Detect the coincidence coefficient between the quality abnormal region and the concave engraving region of the target formed component, and determine the preparation adjustment strategy of the target formed component according to the coincidence coefficient. The preparation adjustment strategy is to increase and adjust the preparation grinding time or the admixture amount of the activator.

9. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 8, characterized in that, If the coincidence coefficient between the quality abnormal region and the concave engraving region is greater than the preset coincidence coefficient, the preparation grinding time of the recycled fine powder is increased and adjusted according to the proportion of the quality abnormal region; The increased value of the preparation grinding time has a positive correlation with the proportion of the quality abnormal region.

10. The manufacturing method of producing decorative and finishing materials from construction waste according to claim 9, characterized in that, If the coincidence coefficient between the quality abnormal region and the concave engraving region is less than or equal to the preset coincidence coefficient, the admixture amount of the activator is increased and adjusted according to the proportion of the quality abnormal region; The increased value of the admixture amount of the activator has a positive correlation with the proportion of the quality abnormal region.

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