Intelligent quality inspection method and platform for home textile products

Abstract

The application discloses a kind of intelligent quality inspection method and platform of home textile product, it is related to the technical field of intelligent detection, this method includes: obtaining the elastic material center of elastic home textile product.The center infrared spectrum is obtained by infrared emitter, infrared receiver.Central node corresponding to elastic material center is obtained according to neighbor node strategy by reading neighbor node strategy.Collaborative infrared detection is carried out to neighbor node by infrared emitter and infrared receiver, and neighbor infrared spectrum is obtained.The neighbor infrared spectrum and center infrared spectrum are analyzed according to spectrum feedback strategy by reading spectrum feedback strategy, and target infrared spectrum is obtained.Comparison and analysis target infrared spectrum and predetermined infrared spectrum obtain the target aging degree of elastic home textile product.The technical problem that the quality inspection method of prior art in home textile product exists quality inspection cost is high, quality inspection efficiency is low, and cannot comprehensively, accurately reflect the quality condition of entire home textile product is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent detection, and particularly relates to a home textile product intelligent quality inspection method and platform. BACKGROUND

[0002] As the most common product in daily life, the use performance of a home textile product directly affects the comfort of a user. Traditional home textile product quality inspection methods mostly adopt manual inspection, visual inspection and local detection, and have the problems of high quality inspection cost, low quality inspection efficiency and inability to comprehensively and accurately reflect the quality status of the entire home textile product.

[0003] Therefore, the home textile product quality inspection method in the prior art has the technical problems of high quality inspection cost, low quality inspection efficiency and inability to comprehensively and accurately reflect the quality status of the entire home textile product. SUMMARY

[0004] The present application provides a home textile product intelligent quality inspection method and platform, which solves the technical problems of high quality inspection cost, low quality inspection efficiency and inability to comprehensively and accurately reflect the quality status of the entire home textile product in the prior art. Through infrared spectrum detection and polymerization analysis, the quality characteristics of the home textile product can be comprehensively detected, and the aging degree of the product can be effectively evaluated by calculating the aging degree, so as to realize intelligent and comprehensive quality inspection, thereby comprehensively and accurately reflecting the quality status of the entire home textile product, improving the quality inspection efficiency and reducing the quality inspection cost.

[0005] The present application provides a home textile product intelligent quality inspection method, which comprises: acquiring an elastic material center of an elastic home textile product. An infrared signal is emitted to the elastic material center by an infrared emitter, and the infrared signal is received by an infrared receiver to obtain a center infrared spectrum. A neighbor node strategy is read, and a neighbor node corresponding to a center node of the elastic material center is acquired according to the neighbor node strategy. The neighbor node is cooperatively detected by the infrared emitter and the infrared receiver to obtain a neighbor infrared spectrum. A spectrum feedback strategy is read, and the neighbor infrared spectrum and the center infrared spectrum are analyzed according to the spectrum feedback strategy to obtain a target infrared spectrum. The target aging degree of the elastic home textile product is obtained by comparing and analyzing the target infrared spectrum and a predetermined infrared spectrum.

[0006] In an implementation, a first-level neighbor node of the center node is obtained according to the neighbor node strategy, wherein the first-level neighbor node includes a plurality of first-level nodes. A target first-level node in the plurality of first-level nodes is randomly extracted, and a target first-level neighbor node of the target first-level node is obtained according to the neighbor node strategy. A second-level neighbor node is formed based on the target first-level neighbor node, wherein the second-level neighbor node includes a plurality of second-level nodes. The plurality of first-level nodes and the plurality of second-level nodes form the neighbor node.

[0007] In an implementation, a center coordinate of the center node is obtained. A first arbitrary coordinate of the elastic home textile product is randomly obtained, and the first arbitrary coordinate corresponds to a first arbitrary node. A first arbitrary distance is calculated according to the center coordinate and the first arbitrary coordinate. It is determined whether the first arbitrary distance is less than a first distance threshold value. If it is less than, the first arbitrary node is added to the first-level neighbor node.

[0008] In an implementation, a second arbitrary coordinate of the elastic home textile product is randomly obtained, and the second arbitrary coordinate corresponds to a second arbitrary node. A second arbitrary distance is calculated according to the center coordinate and the second arbitrary coordinate. It is determined whether the second arbitrary distance is less than the first distance threshold value. If it is less than, a first node distance is calculated according to the second arbitrary coordinate and the first arbitrary coordinate. When the first node distance is greater than a second distance threshold value, the second arbitrary node is added to the first-level neighbor node.

[0009] In an implementation, a target first-level neighbor region of the target first-level node is obtained. A unit slice length is read, and the target first-level neighbor region is sliced to obtain a target slice set according to the unit slice length, wherein the target slice set includes a plurality of cut blocks. A first cut block coordinate in a first cut block is obtained, and the first cut block coordinate corresponds to a first cut block node. The target first-level neighbor node of the target first-level node is formed based on the first cut block node.

[0010] In an implementation, a plurality of infrared spectra of the target first-level neighbor node are aggregated to obtain a first aggregated spectrum. The first aggregated spectrum is fused with an infrared spectrum of the target first-level node to obtain a target first-level node spectrum. The target first-level node spectrum is aggregated to obtain a center aggregated spectrum of the elastic material center. The center aggregated spectrum is taken as the neighbor infrared spectrum.

[0011] In an implementation, according to the spectrum feedback strategy, a first neighbor absorption peak value of the neighbor infrared spectrum and a first center absorption peak value of the center infrared spectrum at a first time are sequentially acquired. A first average absorption peak value of the first neighbor absorption peak value and the first center absorption peak value is taken as a first target absorption peak value at the first time. A first mapping relationship of the first time and the first target absorption peak value is combined to obtain the target infrared spectrum.

[0012] In an implementation, a first absorption peak difference value is acquired, which is a difference between the first target absorption peak value in the target infrared spectrum and a first predetermined absorption peak value in a predetermined infrared spectrum. A first ratio of the first absorption peak difference value and the first predetermined absorption peak value is normalized to obtain a first aging degree. The first aging degree is arranged in descending order to obtain an aging degree descending list, and a top aging degree in the aging degree descending list is taken as the target aging degree.

[0013] The application also provides an intelligent quality inspection platform for home textile products, comprising:

[0014] A center extraction module is configured to acquire an elastic material center of an elastic home textile product.

[0015] An infrared spectrum acquisition module is configured to emit an infrared signal to the elastic material center through an infrared emitter and receive the infrared signal through an infrared receiver to obtain a center infrared spectrum.

[0016] A neighbor node acquisition module is configured to read a neighbor node strategy and acquire neighbor nodes of a center node corresponding to the elastic material center according to the neighbor node strategy.

[0017] A neighbor infrared spectrum acquisition module is configured to perform cooperative infrared detection on the neighbor nodes through the infrared emitter and the infrared receiver to obtain a neighbor infrared spectrum.

[0018] A target infrared spectrum acquisition module is configured to read a spectrum feedback strategy and analyze the neighbor infrared spectrum and the center infrared spectrum according to the spectrum feedback strategy to obtain a target infrared spectrum.

[0019] An aging degree acquisition module is configured to compare and analyze the target infrared spectrum and a predetermined infrared spectrum to obtain a target aging degree of the elastic home textile product.

[0020] The application provides a home textile product intelligent quality inspection method and platform. The elastic material center of an elastic home textile product is obtained. An infrared signal is emitted to the elastic material center by an infrared emitter, and the infrared signal is received by an infrared receiver to obtain a center infrared spectrum. A neighbor node strategy is read, and neighbor nodes corresponding to the center node of the elastic material center are obtained according to the neighbor node strategy. The neighbor nodes are cooperatively detected by the infrared emitter and the infrared receiver to obtain a neighbor infrared spectrum. A spectrum feedback strategy is read, and the neighbor infrared spectrum and the center infrared spectrum are analyzed according to the spectrum feedback strategy to obtain a target infrared spectrum. The target infrared spectrum is compared with a predetermined infrared spectrum to obtain the target aging degree of the elastic home textile product. The technical problem that the quality inspection method for home textile products in the prior art has high quality inspection cost, low quality inspection efficiency and cannot comprehensively and accurately reflect the quality status of the entire home textile product is solved. The quality characteristics of the home textile product can be comprehensively detected through infrared spectrum detection and polymerization analysis, the aging condition of the product can be effectively evaluated by calculating the aging degree, intelligent and comprehensive quality inspection is realized, the quality status of the entire home textile product is comprehensively and accurately reflected, and the quality inspection efficiency is improved and the quality inspection cost is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. The flowcharts are used to illustrate the operations performed by the platform according to the embodiments of the present disclosure. It should be understood that the foregoing or the following operations are not necessarily performed in sequence. On the contrary, according to the needs, various steps can be processed in reverse order or at the same time. Meanwhile, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0022] Figure 1 A home textile product intelligent quality inspection method flowchart is provided for the embodiments of the present application.

[0023] Figure 2 A home textile product intelligent quality inspection platform structure diagram is provided for the embodiments of the present application.

[0024] Legend: center extraction module 11, infrared spectrum acquisition module 12, neighbor node acquisition module 13, neighbor infrared spectrum acquisition module 14, target infrared spectrum acquisition module 15, and aging degree acquisition module 16. DETAILED DESCRIPTION

[0025] The above description is only a summary of the technical solutions of the present application. In order to make the technical means of the present application more clear, the present application can be implemented according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described.

[0026] In order to make the purposes, technical solutions and advantages of the present application more clear, the following will combine the drawings to make a further detailed description of the present application. The described embodiments should not be regarded as a limitation of the present application. All other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0027] In the following description, "some embodiments" are related to a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subset of all possible embodiments, and can be combined with each other without conflict. The term "first\second" is only to distinguish similar objects, and does not represent the specific order of the object. The terms "include" and "have" and any variants are intended to cover non-exclusive inclusion, for example, a process, method, platform, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as understood by those skilled in the art in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0028] The embodiments of the present application provide a kind of intelligent quality inspection method and platform for home textile products, as shown in Figure 1 The method comprises the following steps:

[0029] The elastic material center of elastic home textile product is acquired. An infrared signal is emitted to the elastic material center by an infrared emitter, and the infrared signal is received by an infrared receiver to obtain a center infrared spectrum. Neighbor node strategy is read, and neighbor nodes corresponding to the center node of the elastic material center are acquired according to the neighbor node strategy.

[0030] The method provided by the embodiment of the present application further comprises: acquiring a first-level neighbor node of the center node according to the neighbor node strategy, wherein the first-level neighbor node comprises a plurality of first-level nodes; randomly extracting a target first-level node from the plurality of first-level nodes, and acquiring a target first-level neighbor node of the target first-level node according to the neighbor node strategy; and based on the target first-level neighbor node, a second-level neighbor node is formed, wherein the second-level neighbor node comprises a plurality of second-level nodes; and the plurality of first-level nodes and the plurality of second-level nodes form the neighbor node.

[0031] The method provided by the embodiment of the present application further comprises: acquiring a first-level neighbor node of the center node according to the neighbor node strategy, wherein the first-level neighbor node comprises a plurality of first-level nodes; randomly extracting a target first-level node from the plurality of first-level nodes, and acquiring a target first-level neighbor node of the target first-level node according to the neighbor node strategy; and based on the target first-level neighbor node, a second-level neighbor node is formed, wherein the second-level neighbor node comprises a plurality of second-level nodes; and the plurality of first-level nodes and the plurality of second-level nodes form the neighbor node.

[0032] The method provided by the embodiment of the present application further comprises: acquiring a first-level neighbor node of the center node according to the neighbor node strategy, wherein the first-level neighbor node comprises a plurality of first-level nodes; randomly extracting a target first-level node from the plurality of first-level nodes, and acquiring a target first-level neighbor node of the target first-level node according to the neighbor node strategy; and based on the target first-level neighbor node, a second-level neighbor node is formed, wherein the second-level neighbor node comprises a plurality of second-level nodes; and the plurality of first-level nodes and the plurality of second-level nodes form the neighbor node. After the neighbor node is acquired, data is acquired from the nodes, and the overall performance of the material is comprehensively detected. By analyzing the entire node network, the system can identify whether there is a quality problem, such as aging or material unevenness, in the mattress.

[0033] The method provided in the embodiments of the present application further includes: obtaining the center coordinate of the center node. A first arbitrary coordinate of the elastic home textile product is randomly obtained, and the first arbitrary coordinate corresponds to a first arbitrary node. A first arbitrary distance is calculated according to the center coordinate and the first arbitrary coordinate. It is judged whether the first arbitrary distance is less than a first distance threshold value. If yes, the first arbitrary node is added to the first-level neighbor node.

[0034] The center coordinate of the center node is obtained, wherein the center coordinate is a coordinate origin, and if the center node of the detection object is in the same plane, the center coordinate is a two-dimensional coordinate. If the center node of the detection object is not in the same plane, the center coordinate is a three-dimensional coordinate. A first arbitrary coordinate of the elastic home textile product is randomly obtained, and the first arbitrary coordinate is randomly selected to specify a detection point in the detection area of the product. The first arbitrary coordinate corresponds to a first arbitrary node. Further, after the center coordinate and the first arbitrary coordinate are determined, a distance between the two is calculated by a distance calculation formula to obtain a first arbitrary distance, which is a straight-line distance from the center coordinate to the first arbitrary coordinate. Further, it is judged whether the first arbitrary distance is less than a first distance threshold value, that is, the calculated first arbitrary distance is compared with the first distance threshold value. The first distance threshold value is a preset distance limit value. When the distance is less than the distance limit value, the corresponding first arbitrary node has stronger relevance with the center coordinate and is in the effective range of quality inspection. For example, in the foregoing example, the first arbitrary distance obtained by calculation is 15.8 cm. If the set first distance threshold value is 20 cm, the system will judge that the distance is less than the threshold value. Therefore, the first arbitrary node is regarded as being in the effective range. If yes, the first arbitrary node is added to the first-level neighbor node. In this way, the acquisition of the first-level neighbor node has randomness and is not affected by the neighbor node strategy, and the randomness of the acquisition of the detection point position is further ensured.

[0035] The method provided in the embodiments of the present application further includes: a second arbitrary coordinate of the elastic home textile product is randomly obtained, and the second arbitrary coordinate corresponds to a second arbitrary node. A second arbitrary distance is calculated according to the center coordinate and the second arbitrary coordinate. It is judged whether the second arbitrary distance is less than the first distance threshold value. If yes, a first node spacing is calculated according to the second arbitrary coordinate and the first arbitrary coordinate. When the first node spacing is greater than a second distance threshold value, the second arbitrary node is added to the first-level neighbor node.

[0036] Randomly obtain a second arbitrary coordinate of the elastic home textile product, the second arbitrary coordinate corresponding to a second arbitrary node. According to the central coordinate and the second arbitrary coordinate, a second arbitrary distance is calculated. Further, it is judged whether the second arbitrary distance is less than the first distance threshold value. If it is less than, according to the second arbitrary coordinate and the first arbitrary coordinate, a first node spacing is calculated, that is, the node spacing between the second arbitrary coordinate and the first arbitrary coordinate is obtained through the distance calculation formula. When the first node spacing is greater than the second distance threshold value, the second distance threshold value is the minimum value of the spacing between the nodes preset, when greater than the second distance threshold value, the corresponding node distance meets the acquisition requirement, and the second arbitrary node is added to the first level neighbor node. In this way, the acquisition of the first level neighbor node has randomness and is not affected by the neighbor node strategy, further ensuring the randomness of the detection point position acquisition.

[0037] The method provided by the embodiment of the application further includes: obtaining a target first level neighbor area of the target first level node. Reading a unit slice length, and combining the unit slice length to slice the target first level neighbor area to obtain a target slice set, the target slice set including a plurality of cut blocks. Obtaining a first cut block coordinate in a first cut block, the first cut block coordinate corresponding to a first cut block node. Based on the first cut block node, the target first level neighbor node of the target first level node is established.

[0038] The target first level neighbor area of the target first level node refers to an area within a certain range around the node. The unit slice length refers to a fixed length used when the target neighbor area is grid divided. The entire target area is equidistantly sliced according to this fixed length to form a plurality of small areas, and the unit slice length can be appropriately set according to the detection accuracy requirement of the product. For example, the unit slice length can be set to 5 cm, indicating that the target neighbor area is divided according to a 5 cm grid. The target first level neighbor area is sliced according to the unit slice length to obtain a target slice set, the target slice set including a plurality of cut blocks. A first cut block coordinate in a first cut block is obtained, the first cut block being a randomly selected cut block in the slice set, each cut block having a center or representative point as a cut block coordinate, and the first cut block coordinate being the center or representative point of the first cut block, the first cut block coordinate corresponding to a first cut block node. Based on the first cut block node, the target first level neighbor node of the target first level node is established.

[0039] The neighbor nodes are cooperatively detected by the infrared emitter and the infrared receiver to obtain a neighbor infrared spectrum. A spectrum feedback strategy is read, and the neighbor infrared spectrum and the center infrared spectrum are analyzed according to the spectrum feedback strategy to obtain a target infrared spectrum. The target infrared spectrum is compared with a predetermined infrared spectrum to obtain the target aging degree of the elastic home textile product.

[0040] The neighbor nodes are cooperatively detected by the infrared emitter and the infrared receiver to obtain a neighbor infrared spectrum. A spectrum feedback strategy is read, and the neighbor infrared spectrum and the center infrared spectrum are analyzed according to the spectrum feedback strategy to obtain a target infrared spectrum. The target infrared spectrum is compared with a predetermined infrared spectrum to obtain the target aging degree of the elastic home textile product.

[0041] The method provided by the embodiment of the application further includes: aggregating the plurality of infrared spectra of the target primary neighbor node to obtain a first aggregated spectrum. The first aggregated spectrum is fused with the infrared spectrum of the target primary node to obtain a target primary node spectrum. The target primary node spectrum is aggregated to obtain a center aggregated spectrum of the elastic material center. The center aggregated spectrum is taken as the neighbor infrared spectrum.

[0042] The plurality of infrared spectra of the target primary neighbor node are aggregated to obtain a first aggregated spectrum. The plurality of infrared spectrum data of the target primary neighbor node are obtained, and the plurality of infrared spectrum data are aggregated. The purpose of aggregation is to obtain a comprehensive spectrum representing the regional characteristics of the nodes by integrating the infrared spectra of the plurality of adjacent detection points. When aggregation is performed, the average value aggregation method is used to average the absorption or reflection values at the same wavelength of the plurality of spectra to form a new spectrum. Subsequently, the average value aggregation method is used to average the absorption or reflection values at the same wavelength of the plurality of spectra, the first aggregated spectrum is fused with the infrared spectrum of the target primary node to obtain a target primary node spectrum. Further, the target primary node spectrum is aggregated to obtain a center aggregated spectrum of the center of the elastic material. Finally, the center aggregated spectrum is taken as the neighbor infrared spectrum.

[0043] The method provided in the embodiments of the present application further includes: according to the spectrum feedback strategy, sequentially obtaining a first neighbor absorption peak value of the neighbor infrared spectrum and a first center absorption peak value of the center infrared spectrum at a first time. Taking a first average absorption peak value of the first neighbor absorption peak value and the first center absorption peak value as a first target absorption peak value at the first time. A first mapping relationship between the first time and the first target absorption peak value is combined to obtain the target infrared spectrum.

[0044] According to the spectrum feedback strategy, a first neighbor absorption peak value of the neighbor infrared spectrum and a first center absorption peak value of the center infrared spectrum at a first time are sequentially obtained. A first average absorption peak value of the first neighbor absorption peak value and the first center absorption peak value is taken as a first target absorption peak value at the first time, that is, the average value of the first neighbor absorption peak value and the first center absorption peak value is calculated to obtain the first target absorption peak value, and the first target absorption peak value is used to reflect the overall absorption characteristics of the entire detection region at the first time. Finally, a first mapping relationship between the first time and the first target absorption peak value is combined to obtain the target infrared spectrum.

[0045] The method provided in the embodiments of the present application further includes: obtaining a first absorption peak difference value, the first absorption peak difference value being a difference value between the first target absorption peak value in the target infrared spectrum and a first predetermined absorption peak value in the predetermined infrared spectrum. A first ratio of the first absorption peak difference value to the first predetermined absorption peak value is normalized to obtain a first aging degree. The first aging degree is arranged in descending order to obtain an aging degree descending list, and a top aging degree in the aging degree descending list is taken as the target aging degree.

[0046] The first absorption peak difference value is the difference between the first target absorption peak value in the target infrared spectrum and the first predetermined absorption peak value in the predetermined infrared spectrum, which is calculated by comparing the target infrared spectrum with the predetermined infrared spectrum in the quality inspection process, and represents the difference between the actual state and the ideal state of the material. The predetermined infrared spectrum is the infrared spectrum of the elastic material standard of the elastic home textile product, i.e., the infrared spectrum of the qualified product in the standard environment obtained by collecting the infrared spectrum of the product at multiple collection points when it is shipped. The first ratio of the first absorption peak difference value to the first predetermined absorption peak value is normalized to obtain the first aging degree. Finally, the first aging degrees are arranged in descending order to obtain an aging degree descending list, and the top aging degree in the aging degree descending list is taken as the target aging degree, i.e., the highest ranking aging degree value in the aging degree descending list is taken as the final target aging degree.

[0047] In the foregoing, reference is made to Figure 1 A home textile product intelligent quality inspection method according to an embodiment of the application is described in detail. Next, a home textile product intelligent quality inspection platform according to an embodiment of the application will be described with reference to Figure 2 A home textile product intelligent quality inspection platform according to an embodiment of the application solves the technical problem of the high cost and low efficiency of the quality inspection method of the prior art, and cannot comprehensively and accurately reflect the quality status of the entire home textile product. Through infrared spectrum detection and polymerization analysis, the quality characteristics of the home textile product can be comprehensively detected, and the aging of the product can be effectively evaluated by calculating the aging degree, so as to realize intelligent and comprehensive quality inspection, thereby comprehensively and accurately reflecting the quality status of the entire home textile product, and improving the quality inspection efficiency and reducing the quality inspection cost. A home textile product intelligent quality inspection platform comprises a center extraction module 11, an infrared spectrum acquisition module 12, a neighbor node acquisition module 13, a neighbor infrared spectrum acquisition module 14, a target infrared spectrum acquisition module 15, and an aging degree acquisition module 16.

[0048] The center extraction module 11 is configured to acquire the elastic material center of the elastic home textile product.

[0049] The infrared spectrum acquisition module 12 is configured to emit an infrared signal to the elastic material center through an infrared emitter, and receive the infrared signal through an infrared receiver to obtain a center infrared spectrum.

[0050] The neighbor node acquisition module 13 is configured to read a neighbor node strategy, and acquire the neighbor nodes of the center node corresponding to the elastic material center according to the neighbor node strategy.

[0051] The neighbor infrared spectrum acquisition module 14 is configured to perform cooperative infrared detection on the neighbor nodes through the infrared emitter and the infrared receiver to obtain a neighbor infrared spectrum.

[0052] The target infrared spectrum acquisition module 15 is configured to read a spectrum feedback strategy, and analyze the neighbor infrared spectrum and the center infrared spectrum according to the spectrum feedback strategy to obtain a target infrared spectrum.

[0053] The aging degree acquisition module 16 is configured to compare and analyze the target infrared spectrum and a predetermined infrared spectrum to obtain a target aging degree of the elastic home textile product.

[0054] In the following, the specific configuration of the neighbor node acquisition module 13 will be described in detail. The neighbor node acquisition module 13 can further include: acquiring a first-level neighbor node of the center node according to the neighbor node strategy, wherein the first-level neighbor node includes a plurality of first-level nodes. Randomly extracting a target first-level node from the plurality of first-level nodes, and acquiring a target first-level neighbor node of the target first-level node according to the neighbor node strategy. Based on the target first-level neighbor node, a second-level neighbor node is formed, wherein the second-level neighbor node includes a plurality of second-level nodes. The plurality of first-level nodes and the plurality of second-level nodes form the neighbor node.

[0055] In the following, the specific configuration of the neighbor node acquisition module 13 will be described in detail. The neighbor node acquisition module 13 can further include: acquiring a center coordinate of the center node. Randomly acquiring a first arbitrary coordinate of the elastic home textile product, the first arbitrary coordinate corresponding to a first arbitrary node. According to the center coordinate and the first arbitrary coordinate, a first arbitrary distance is calculated. It is judged whether the first arbitrary distance is less than a first distance threshold value. If it is less than, the first arbitrary node is added to the first-level neighbor node.

[0056] In the following, the specific configuration of the neighbor node acquisition module 13 will be described in detail. The neighbor node acquisition module 13 can further include: randomly acquiring a second arbitrary coordinate of the elastic home textile product, the second arbitrary coordinate corresponding to a second arbitrary node. According to the center coordinate and the second arbitrary coordinate, a second arbitrary distance is calculated. It is judged whether the second arbitrary distance is less than the first distance threshold value. If it is less than, according to the second arbitrary coordinate and the first arbitrary coordinate, a first node distance is calculated. When the first node distance is greater than a second distance threshold value, the second arbitrary node is added to the first-level neighbor node.

[0057] Next, the specific configuration of the neighbor node acquisition module 13 will be described in detail. The neighbor node acquisition module 13 further includes: acquiring a target primary neighbor area of the target primary node. Reading a unit slice length, and combining the unit slice length to slice the target primary neighbor area to obtain a target slice set, the target slice set including a plurality of cut blocks. Acquiring a first cut block coordinate in a first cut block, the first cut block coordinate corresponding to a first cut block node. Based on the first cut block node, the target primary neighbor node of the target primary node is formed.

[0058] Next, the specific configuration of the neighbor infrared spectrum acquisition module 14 will be described in detail. The neighbor infrared spectrum acquisition module 14 further includes: aggregating a plurality of infrared spectra of the target primary neighbor node to obtain a first aggregated spectrum. The first aggregated spectrum is fused with the infrared spectrum of the target primary node to obtain a target primary node spectrum. The target primary node spectrum is aggregated to obtain a center aggregated spectrum of the elastic material center. The center aggregated spectrum is taken as the neighbor infrared spectrum.

[0059] Next, the specific configuration of the neighbor infrared spectrum acquisition module 14 will be described in detail. The neighbor infrared spectrum acquisition module 14 further includes: according to the spectrum feedback strategy, sequentially acquiring a first neighbor absorption peak value of the neighbor infrared spectrum and a first center absorption peak value of the center infrared spectrum at a first time. Taking a first average absorption peak value of the first neighbor absorption peak value and the first center absorption peak value as a first target absorption peak value at the first time. Combining a first mapping relationship of the first time and the first target absorption peak value to obtain the target infrared spectrum.

[0060] Next, the specific configuration of the aging degree acquisition module 16 will be described in detail. The aging degree acquisition module 16 further includes: acquiring a first absorption peak difference value, the first absorption peak difference value being a difference value between the first target absorption peak value in the target infrared spectrum and a first predetermined absorption peak value in the predetermined infrared spectrum. Normalizing a first ratio of the first absorption peak difference value and the first predetermined absorption peak value to obtain a first aging degree. Arranging the first aging degree in descending order to obtain an aging degree descending list, and taking a top aging degree in the aging degree descending list as the target aging degree.

[0061] The home textile product intelligent quality inspection platform provided by the embodiment of the application can execute the home textile product intelligent quality inspection method provided by any embodiment of the application, and has the corresponding function modules and beneficial effects of the execution method.

[0062] Although the present application makes various references to certain modules in the platform according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or server, the various units and modules included are only divided according to the functional logic, but are not limited to the above division, as long as the corresponding functions can be realized. In addition, the specific name of each functional unit is only for the convenience of mutual differentiation, and is not used to limit the protection scope of the present application.

[0063] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for intelligent quality inspection of home textile products, characterized in that, The method comprises the following steps: acquiring a center of an elastic material of an elastic home textile product; emitting an infrared signal to the center of the elastic material through an infrared emitter and receiving the infrared signal through an infrared receiver to obtain a center infrared spectrum; reading a neighbor node strategy and acquiring a neighbor node of a corresponding center node of the center of the elastic material according to the neighbor node strategy; cooperatively detecting the neighbor node through the infrared emitter and the infrared receiver to obtain a neighbor infrared spectrum; reading a spectrum feedback strategy and analyzing the neighbor infrared spectrum and the center infrared spectrum according to the spectrum feedback strategy to obtain a target infrared spectrum; comparing and analyzing the target infrared spectrum and a predetermined infrared spectrum to obtain a target aging degree of the elastic home textile product.

2. The method of claim 1, wherein the method further comprises: The method comprises the following steps: acquiring a first-level neighbor node of the center node according to the neighbor node strategy, wherein the first-level neighbor node comprises a plurality of first-level nodes; randomly extracting a target first-level node from the plurality of first-level nodes and acquiring a target first-level neighbor node of the target first-level node according to the neighbor node strategy; composing a second-level neighbor node based on the target first-level neighbor node, wherein the second-level neighbor node comprises a plurality of second-level nodes; composing the neighbor node by the plurality of first-level nodes and the plurality of second-level nodes.

3. The method of claim 2, wherein the method further comprises: The method comprises the following steps: acquiring a center coordinate of the center node; randomly acquiring a first arbitrary coordinate of the elastic home textile product, wherein the first arbitrary coordinate corresponds to a first arbitrary node; calculating a first arbitrary distance according to the center coordinate and the first arbitrary coordinate; judging whether the first arbitrary distance is less than a first distance threshold value; if yes, adding the first arbitrary node to the first-level neighbor node.

4. The method of claim 3, wherein the method further comprises: The method comprises the following steps: randomly acquiring a second arbitrary coordinate of the elastic home textile product, wherein the second arbitrary coordinate corresponds to a second arbitrary node; calculating a second arbitrary distance according to the center coordinate and the second arbitrary coordinate; judging whether the second arbitrary distance is less than the first distance threshold value; if yes, calculating a first node distance according to the second arbitrary coordinate and the first arbitrary coordinate; when the first node distance is greater than a second distance threshold value, adding the second arbitrary node to the first-level neighbor node.

5. The method of claim 2, wherein the method further comprises: The method comprises the following steps: acquiring a target first-level neighbor area of the target first-level node; reading a unit slice length and slicing the target first-level neighbor area to obtain a target slice set according to the unit slice length, wherein the target slice set comprises a plurality of cut blocks; acquiring a first cut block coordinate in a first cut block, wherein the first cut block coordinate corresponds to a first cut block node; composing the target first-level neighbor node of the target first-level node based on the first cut block node.

6. The method of claim 1, wherein the method further comprises: The method comprises the following steps: aggregating a plurality of infrared spectrums of the target first-level neighbor node to obtain a first aggregated spectrum; fusing the first aggregated spectrum and an infrared spectrum of the target first-level node to obtain a target first-level node spectrum; aggregating the target first-level node spectrum to obtain a center aggregated spectrum of the center of the elastic material; taking the center aggregated spectrum as the neighbor infrared spectrum.

7. The method of claim 6, wherein the method further comprises: The method comprises the following steps: According to the spectrum feedback strategy, a first neighbor absorption peak value of the neighbor infrared spectrum and a first center absorption peak value of the center infrared spectrum at a first time are acquired in sequence; A first average absorption peak value of the first neighbor absorption peak value and the first center absorption peak value is taken as a first target absorption peak value at the first time; A first mapping relationship of the first time and the first target absorption peak value is combined to obtain the target infrared spectrum.

8. The method of claim 1, wherein the method further comprises: The method comprises: A first absorption peak difference value is acquired, which is a difference between the first target absorption peak value in the target infrared spectrum and a first predetermined absorption peak value in the predetermined infrared spectrum; A first ratio of the first absorption peak difference value and the first predetermined absorption peak value is normalized to obtain a first aging degree; The first aging degree is arranged in descending order to obtain an aging degree descending list, and a top aging degree in the aging degree descending list is taken as the target aging degree.

9. A smart quality inspection platform for home textile products, characterized in that, The platform is used to execute the method of any one of claims 1-8, comprising: A center extraction module is used to acquire an elastic material center of an elastic home textile product; An infrared spectrum acquisition module is used to emit an infrared signal to the elastic material center through an infrared emitter, and receive the infrared signal through an infrared receiver to obtain a center infrared spectrum; A neighbor node acquisition module is used to read a neighbor node strategy, and acquire neighbor nodes of a corresponding center node of the elastic material center according to the neighbor node strategy; A neighbor infrared spectrum acquisition module is used to perform cooperative infrared detection on the neighbor nodes through the infrared emitter and the infrared receiver to obtain a neighbor infrared spectrum; A target infrared spectrum acquisition module is used to read a spectrum feedback strategy, and analyze the neighbor infrared spectrum and the center infrared spectrum according to the spectrum feedback strategy to obtain a target infrared spectrum; An aging degree acquisition module is used to compare and analyze the target infrared spectrum and a predetermined infrared spectrum to obtain a target aging degree of the elastic home textile product.

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