Implementation method of spinning brain

Abstract

The invention provides an implementation method of a spinning brain. The implementation method comprises the following steps: S1, constructing a spinning brain model according to a maturity level; s2, obtaining the score of the textile antenna module according to the maturity grade of the textile antenna module; s3, obtaining the score of the textile world module according to the maturity level of the textile world module; s4, obtaining the score of the textile thinking module according to the maturity level of the textile thinking module; s5, obtaining the score of the textile decision module according to the maturity level of the textile decision module; s6, obtaining the score of the spinning hub module according to the maturity grade of the spinning hub module; and S7, calculating the maturity of the artificial brain according to a total value calculation formula of the maturity of the intelligent spinning artificial brain platform. According to the application, the problem of conversion of big data and knowledge into intelligence in the textile industry or enterprises is solved, and the big data analysis, mining, big model and artificial intelligence methods and technologies are used for factual data collected, transmitted and stored in a data center, a data middle platform or a data lake by the textile Internet of Things and a knowledge graph constructed by knowledge engineering. And intelligence of the textile industry or enterprises is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of textiles, and in particular to a method for realizing a textile brain. Background Art

[0002] Since the beginning of the 21st century, various terminals have achieved the interconnection of all things through end-edge-cloud. Terminals, objects, edges, and clouds are all embedded with AI, as well as large-model intelligent services for human natural language processing, realizing the "man-machine-object" fusion, and humans have entered the era of intelligent computing.

[0003] The same is true for smart textiles.

[0004] There are abundant sources of textile knowledge, including laws and regulations, departmental regulations, normative documents, nationally recognized drug instructions, textile equipment, clinical pathways, clinical diagnosis and treatment guidelines, technical operation specifications, standards, textile teaching materials, expert consensus, monographs, literature, etc. The foundation of smart textile information system is solid, including textile enterprise ERP system (enterprise resource planning system), project management software, financial management software, supply chain management system, customer relationship management system (CRM) and human resource management system (HRM) and other data monitoring and analysis, data operation and management systems.

[0005] However, there are two or three deficiencies in smart textiles: first, the realization of big data in textile expertise, second, the specialization of interpretability of decision support, and third, the lack of a platform similar to the architecture and function of the textile artificial brain. First, the problem of realizing big data in textile expertise is solved. The expertise in the textile field has not yet realized the application of knowledge engineering methods and technologies such as the acquisition, transmission and storage functions of big data, such as knowledge acquisition, knowledge representation, knowledge storage, knowledge update, and knowledge integration. In other words, the data center, data center or data lake of the smart textile industry or enterprise still lacks the application of knowledge engineering, and this function belongs to the knowledge perception of the textile brain. Second, the problem of specialization in interpretability of decision support is solved. Decision support and visualization technology can realize the intelligence of textiles, but in the calculation, analysis, and mining of textile big data decision support results, the knowledge interpretation of the textile field and the intelligence of expert decision support have not been integrated. In other words, textile knowledge has not yet realized intelligence, and this function belongs to the knowledge thinking of the textile brain. The third is to solve the problem of lack of a platform similar to the architecture and functions of the textile artificial brain. Although the currently constructed textile big data platform supports big data calculation, analysis, mining, visualization and decision support, it lacks an artificial brain platform that is cognitive, self-learning and capable of thinking with brain-like intelligence, and the composition structure and functions of the artificial brain platform are organically organized.

[0006] For example, the invention patent with application number 202311161738.1 discloses a collaborative manufacturing management platform for the spinning industrial Internet, which involves the field of spinning technology, including: a digital base for interacting with physical equipment and collecting full-process spinning data; a data middle platform for processing the full-process spinning data, and performing data security management and data asset management; a configuration development platform for data storage and calculation, organizing data and opening data to the outside world, providing a variety of engines and a variety of microservices, and a collaborative supply chain; an application layer for smart applications based on the configuration development platform; a security protection layer for security protection. The application of the collaborative manufacturing management platform for the spinning industrial Internet can facilitate spinning management, realize intelligent production, and improve production efficiency. However, the invention mainly implements the big data Internet of Things data perception technology part in this application, and is limited to the big data technology of spinning. This application is applicable to a wider range of textile fields. Summary of the invention

[0007] In response to the technical issues of converting professional knowledge into wisdom in the textile field and the brain-like architecture of the smart textile platform, the present invention proposes a method for realizing the textile brain, which comprehensively utilizes the big data and textile knowledge of the textile industry or enterprises to enhance the intelligent real-time and accurate information services of textile enterprises, so as to cope with the challenges faced by the intelligence of smart textiles.

[0008] In order to achieve the above object, the technical solution of the present invention is implemented as follows: a method for realizing a textile brain, the steps comprising:

[0009] S1: Construction of textile brain models according to maturity levels;

[0010] S2: Design the textile antenna module according to the maturity level requirements of the textile antenna module and obtain the score of the textile antenna module;

[0011] S3: Design the textile world module according to the maturity level requirements of the textile world module and obtain the score of the textile world module;

[0012] S4: Design the textile thinking module according to the maturity level requirements of the textile thinking module and obtain the score of the textile thinking module;

[0013] S5: Design the textile decision module according to the maturity level requirements of the textile decision module and obtain the score of the textile decision module;

[0014] S6: Design the textile hub module according to the maturity level requirements of the textile hub module and obtain the score of the textile hub module;

[0015] S7: Calculate the maturity of the artificial brain of the smart textile according to the total value calculation formula of the maturity of the smart textile artificial brain platform.

[0016] The textile brain model includes a textile tentacle module, a textile world module, a textile thinking module, a textile decision-making module and a textile hub module. The textile tentacle module, the textile world module, the textile thinking module and the textile decision-making module are all connected to the textile hub module, the textile tentacle module is connected to the textile world module, and the textile thinking module is connected to the textile decision-making module.

[0017] The method for constructing a textile brain according to maturity levels described in step S1 is: the maturity levels include first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level and fifth-level wisdom level. Based on actual needs, the textile brain is constructed according to the maturity level comparison table.

[0018] The maturity level comparison table is as follows:

[0019]

[0020] The method for designing the textile antenna module according to the maturity level requirement of the textile antenna module in step S2 is:

[0021] The capabilities required for the maturity level of the textile tentacles module are divided into: the construction method of the textile tentacles module, the business characteristics of the textile tentacles module, and the technical characteristics of the textile tentacles module;

[0022] The evaluation formula of the textile antenna module is:

[0023]

[0024] Among them, W ant_i，ant_j represents the weight of the textile antenna module, A ant_i，ant_j Represents the evaluation value of the textile antenna module, ant_i represents the construction method capability domain, business characteristic capability domain or technical characteristic capability domain of the textile antenna, ant_i = {construction method, business characteristic, technical characteristic}; ant_j represents the maturity requirement conditions of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level of the textile antenna, and the evaluation score of the textile antenna module is calculated according to the actual needs of the construction method of the textile antenna module, the business characteristics of the textile antenna module and the technical characteristics of the textile antenna module;

[0025] Among them, the construction method capability domain of the textile antenna module is the network facility system subdomain, the business characteristics of the textile antenna module are the data perception system subdomain, and the technical characteristics of the textile antenna module are the data transmission system subdomain;

[0026] Among them, the level requirements of the network facility system subdomain, the evaluation indicators of the calculation refer to: a) wired and wireless access; b) plug-and-play network access; c) intelligent adaptation interface; d) professional knowledge identification; e) the existence of self-learning professional knowledge, etc. calculation score; the level requirements of the data perception system subdomain, the evaluation indicators of the calculation refer to: a) active perception data; b) passive perception data; c) intelligent perception data; d) perception professional field knowledge data; e) the existence of self-learning perception professional field knowledge data, etc. calculation score; the level requirements of the data transmission system subdomain, the evaluation indicators of the calculation refer to: a) limited and wireless perception data transmission; b) plug-and-play network access data transmission; c) intelligent adaptation interface data transmission; d) professional knowledge identification data transmission; e) the existence of self-learning perception professional field knowledge data transmission, etc. calculation score;

[0027] The business feature capability domain includes the scenario business closed-loop subdomain, the data flow full life cycle subdomain and the business function interaction capability subdomain; the level requirements of the scenario business closed-loop subdomain, the evaluation indicators of the calculation refer to: a) limited, wireless network, perception, transmission to form a closed loop; b) plug-and-play access, perception, transmission to form a closed loop; c) intelligent adaptation interface perception, transmission to form a closed loop; d) professional knowledge recognition, transmission to form a closed loop; e) self-learning perception of professional field knowledge, transmission to form a closed loop, etc. The calculation score; the level requirements of the data flow full life cycle subdomain, the evaluation indicators of the calculation refer to: a) data limited, wireless perception, transmission transmission life cycle; b) plug-and-play access, perception, transmission life cycle; c) intelligent adaptation interface perception, transmission life cycle; d) professional knowledge identification, transmission life cycle; e) whether there is calculation score for self-learning perception professional field knowledge, transmission life cycle, etc.; the level requirements of the business function interaction capability subdomain, the evaluation indicators calculated refer to: a) limited data, wireless perception, transmission interaction; b) plug-and-play access, perception, transmission interaction; c) intelligent adaptation interface perception, transmission interaction; d) professional knowledge identification, transmission interaction; e) whether there is calculation score for self-learning perception professional field knowledge, transmission interaction, etc.;

[0028] The technical characteristics capability domain includes the device adaptability subdomain, the data format conversion capability subdomain and the software adaptability subdomain; the level requirements of the device adaptability subdomain, the evaluation indicators of the calculation refer to: a) limited data, wireless perception, transmission compatibility; b) plug-and-play access, perception, transmission compatibility; c) intelligent adaptation interface perception, transmission compatibility; d) professional knowledge recognition, transmission compatibility; e) self-learning perception of professional field knowledge, transmission, etc. The calculation score; the level requirements of the data format conversion capability subdomain, the evaluation indicators of the calculation refer to: a) limited data, wireless perception, transmission transmission and exchange; b) plug-and-play network access, perception, transmission and exchange; c) intelligent adaptation interface perception, transmission and exchange; d) professional knowledge identification, transmission and exchange; e) the presence or absence of self-learning perception of professional field knowledge, transmission and exchange, etc., is calculated with score; the level requirements of the software adaptability sub-domain, and the calculated evaluation indicators refer to: a) limited data, wireless perception, transmission compatibility; b) plug-and-play network access, perception, transmission compatibility; c) intelligent adaptation interface perception, transmission compatibility; d) professional knowledge identification, transmission compatibility; e) the presence or absence of self-learning perception of professional field knowledge, transmission, etc. is calculated with score.

[0029] The method for designing the textile world module according to the maturity level requirements of the textile world module in step S3 is:

[0030] The evaluation formula for the maturity level of the Textile World module is:

[0031]

[0032] Among them, W world_i，world_j represents the weight of the textile world module, A world_i，world_j Represents the evaluation value of the textile world module, world_i represents the construction method of the textile world module, the business characteristics of the textile world module and the technical characteristics of the textile world module, world_i = {construction method, business characteristics, technical characteristics}; world_j represents the maturity requirements of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level of the textile world, world_j = {[a,z]|[first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level]}; the evaluation score of the textile world module is calculated according to the construction method, business characteristics and technical characteristics of actual needs;

[0033] Among them, the level requirements of the knowledge acquisition system subdomain of the construction method of the textile world module, the business characteristics of the textile world module and the technical characteristics of the textile world module, and the evaluation indicators of the method capability domain calculation refer to: a) active acquisition; b) passive acquisition; c) intelligent acquisition; d) self-learning acquisition, etc., with or without calculation scores; the level requirements of the knowledge storage system subdomain, and the evaluation indicators of calculation refer to: a) local storage; b) cloud storage; c) intelligent storage; d) graph storage; e) self-learning storage, etc.; the technical characteristics capability domain is the knowledge application system subdomain, and the level requirements of the knowledge application system subdomain, and the evaluation indicators of calculation refer to: a) intelligent question and answer; b) intelligent recommendation; c) decision support; d) professional interpretation; e) self-learning decision, etc., with or without calculation scores.

[0034] The method for designing the textile thinking module according to the maturity level requirements of the textile thinking module in step S4 is:

[0035] The maturity level of the textile thinking module is evaluated as follows:

[0036]

[0037] Among them, W t h ink_i , th ink_j represents the weight of the textile thinking module, A t h ink_i , th ink_j Represents the evaluation value of the textile thinking module, think_i represents the construction method, business characteristics and technical characteristics of textile thinking, think_i = {construction method, business characteristics, technical characteristics}; think_j represents the maturity requirements of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level wisdom level of textile thinking, think_j = {[a,z]|[first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level wisdom level]}; according to actual needs, the evaluation score of the textile thinking module is calculated based on the construction method of the textile thinking module, the business characteristics of the textile thinking module and the technical characteristics of the textile thinking module;

[0038] Among them, the level requirements of the data modeling system subdomain of the construction method capability domain, business characteristic capability domain and technical characteristic capability domain of the textile thinking module, and the evaluation indicators of the method capability domain calculation refer to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; e) self-learning type, etc., with or without calculation scores; the level requirements of the data mining system subdomain, and the evaluation indicators of the business characteristic capability domain calculation refer to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; e) self-learning type, etc., with or without calculation scores.

[0039] The method for designing the textile decision module according to the maturity level requirements of the textile decision module in step S5 is:

[0040] The evaluation formula for the maturity level of the textile decision-making module is:

[0041]

[0042] Among them, W decision_i，decision_j represents the weight of the textile decision module, A decision_i，decision_j It represents the evaluation value of the textile decision module, decision_i represents the construction method of the textile decision module, the business characteristics of the textile decision module and the technical characteristics of the textile decision module, decision_i = {construction method, business characteristics, technical characteristics}; decision_j represents the maturity requirements of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level of the textile decision, decision_j = {[a,z]|[first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level]}, and the evaluation score of the textile decision module is calculated based on the construction method, business characteristics and technical characteristics of the textile decision module according to actual needs;

[0043] Among them, the level requirements of the visualization system subdomain of the construction method capability domain of the textile decision-making module, the business characteristics capability domain of the textile decision-making module and the technical characteristics capability domain of the textile decision-making module, and the calculated evaluation indicators refer to: a) real-time data visualization; b) statistical result visualization; c) analysis result visualization; d) knowledge visualization; e) self-learning decision visualization, etc., with or without calculated scores; the level requirements of the knowledge interpretation system subdomain, and the calculated evaluation indicators refer to: a) interactive feedback explanation; b) automatic recommendation explanation; c) knowledge discovery explanation; d) knowledge graph explanation; e) self-learning decision interpretation, etc., with or without calculated scores.

[0044] The method for designing the textile hub module according to the maturity level requirements of the textile hub module in step S6 is:

[0045] The evaluation formula for the maturity level of the textile hub module is:

[0046]

[0047] Among them, W base_i，base_j represents the weight of the textile decision module, A base_i，base_jRepresents the evaluation value of the textile decision-making module, base_i represents the construction method, business characteristics or technical characteristics of the textile hub module, base_i = {construction method, business characteristics, technical characteristics}; base_j represents the maturity requirements of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level of the textile hub, base_j = {[a,z]|[first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level]}; According to actual needs, the evaluation score of the textile hub module is calculated based on the construction method, business characteristics and technical characteristics of the textile hub module;

[0048] Among them, the level requirements of the database system subdomain of the construction method capability domain of the textile hub module, the business characteristics capability domain of the textile hub module and the technical characteristics capability domain of the textile hub module, and the calculated evaluation indicators refer to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; d) self-learning type, etc., and whether the scores are calculated; the level requirements of the data warehouse system subdomain, and the calculated evaluation indicators refer to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; d) self-learning type, etc., and whether the scores are calculated; the level requirements of the knowledge graph management subdomain, and the calculated evaluation indicators refer to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; d) self-learning type, etc., and whether the scores are calculated.

[0049] The calculation formula of the total value of the maturity of the smart textile artificial brain platform is:

[0050]

[0051] Among them, Score ant is the score of the textile antenna module, Score base Score for the Textile World module. world is the score of the textile thinking module. think is the score of the textile decision module, Score decision This is the score of the textile hub module.

[0052] The beneficial effects of the present invention are as follows: the textile brain consists of five parts, including: textile tentacles, textile hubs, textile world, textile thinking and textile decisions, etc. These core factors have a structure similar to that of the human brain, with functional characteristics of perception, memory, learning, thinking and judgment. It is an organism that can self-learn and self-develop.

[0053] Comprehensively utilize the big data and textile knowledge of textile enterprises to improve the intelligent real-time and accurate information services of textile enterprises and meet the challenges faced by smart textile management. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 It is a structural schematic diagram of the present invention.

[0056] Figure 2 The textile brain platform framework of the present invention.

[0057] Figure 3 It is the framework of the textile brain evaluation index system of the present invention.

[0058] In the figure, 1 is the textile tentacle module, 2 is the textile world module, 3 is the textile thinking module, 4 is the textile decision-making module, and 5 is the textile hub module. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] like Figure 1 As shown, a method for realizing a textile brain comprises the following specific steps:

[0061] S1: Building textile brains according to maturity levels.

[0062] The textile brain is a comprehensive system of software and hardware for knowledge analysis and decision-making applications required for digitalization, informatization, intelligence, and wisdom in textile-related industries. This is an artificial textile brain that has the functions of the human left and right brains; it can think logically and in images; it can reason logically and intuitively judge by experience and adapt to circumstances. Its system structure includes three intelligent centers: the sensory center, the thinking center, and the behavioral center, which respectively realize the perceptual intelligence, thinking intelligence, and behavioral intelligence of the left and right brains, and respectively perform the functions of the information input subsystem, the information processing subsystem, and the information output subsystem. The theory based on it mainly has three disciplines: the first is bionics, which is based on brain science and neuroscience, imitating the structure and neural mechanism of the human brain; the second is information science, which simulates the functions and behaviors of the human brain and regards both the textile brain and the computer as physical symbol systems; the third is cognitive psychology, which explores the cognitive system structure of mental modeling.

[0063] According to the maturity level, the framework of the textile brain evaluation index system is as follows Figure 3 As shown in Table 1, the maturity level specifies the level that the textile brain should reach at different stages. The maturity level is divided into five levels, from low to high, namely level 1 (perception level), level 2 (automatic level), level 3 (intelligent level), level 4 (cognitive level) and level 5 (wisdom level), as shown in Table 1. The levels increase in the order of level 1, level 2, level 3, level 4, and level 5. The high maturity level includes the requirements of the maturity levels of the lower levels. The maturity level of the textile brain is shown in the comparison table in Table 1.

[0064] Level 1 (perception level) installs and deploys sensor equipment of the Internet, Internet of Things and 5G, which can collect actively perceived data.

[0065] Level 2 (automatic level): sensors, instruments, and data system software of the Internet, Internet of Things, and 5G are installed and deployed to automatically collect, process, and store textile factual data and expertise, and a data center or data lake storage system is built.

[0066] Level 3 (intelligent level) has a data analysis system that can perform data modeling, calculation, analysis, prediction and mining.

[0067] Level 4 (cognitive level): building systems and applications that can identify knowledge graphs in the textile field.

[0068] Level 5 (intelligent level) builds a human brain-like decision support system with software and hardware robot applications.

[0069] Table 1 Maturity level comparison table

[0070]

[0071] like Figure 2 As shown, the textile brain includes a textile tentacle module 1, a textile world module 2, a textile thinking module 3, a textile decision-making module 4 and a textile hub module 5. The textile tentacle module 1, the textile world module 2, the textile thinking module 3 and the textile decision-making module 4 are all connected to the textile hub module 5, the textile tentacle module 1 is connected to the textile world module 2, and the textile thinking module 3 is connected to the textile decision-making module 4.

[0072] S2: Construct the textile antenna module 1 according to the maturity level requirements of the textile antenna.

[0073] like Figure 3 As shown, the capabilities required for the maturity level of Textile Tentacles Module 1 are divided into: construction methods, business characteristics and technical characteristics.

[0074] The evaluation formula is as follows:

[0075]

[0076] In formula (1), W ant_i，ant_j represents the weight of the textile antenna module, A ant_i，ant_j It represents the evaluation value of the textile antenna module, ant_i represents the construction method, business characteristics and technical characteristics of the textile antenna, that is, ant_i = {construction method, business characteristics, technical characteristics}; ant_j represents the first-level (perception level), second-level (automatic level), third-level (intelligent level), fourth-level (cognitive level) or fifth-level (intelligent level) maturity requirements of the textile antenna, that is, ant_j = {[a,z]|[first-level (perception level), second-level (automatic level), third-level (intelligent level), fourth-level (cognitive level) or fifth-level (intelligent level)]}.

[0077] Among them, the level requirements of the network facility system subdomain of the construction method capability domain, the evaluation indicators of the calculation refer to: a) wired and wireless access; b) plug-and-play network access; c) intelligent adaptation interface; d) professional knowledge identification; e) self-learning professional knowledge, etc. The level requirements of the data perception system subdomain, the evaluation indicators of the calculation refer to: a) active perception data; b) passive perception data; c) intelligent perception data; d) perception professional field knowledge data; e) self-learning perception professional field knowledge data, etc. The level requirements of the data transmission system subdomain, the evaluation indicators of the calculation refer to: a) limited and wireless perception data transmission; b) plug-and-play network access data transmission; c) intelligent adaptation interface data transmission; d) professional knowledge identification data transmission; e) self-learning perception professional field knowledge data transmission, etc. The calculation score.

[0078] The level requirements of the scenario business closed loop subdomain of the business feature capability domain, the evaluation indicators of the calculation refer to: a) limited, wireless network, perception, transmission to form a closed loop; b) plug and play network access, perception, transmission to form a closed loop; c) intelligent adaptation interface perception, transmission to form a closed loop; d) professional knowledge identification, transmission to form a closed loop; e) self-learning perception of professional field knowledge, transmission to form a closed loop, etc. The level requirements of the data flow full life cycle subdomain, the evaluation indicators of the calculation refer to: a) data limited, wireless perception, transmission life cycle; b) plug and play network access, perception, transmission life cycle; c) intelligent adaptation interface perception, transmission life cycle; d) professional knowledge identification, transmission life cycle; e) self-learning perception of professional field knowledge, transmission life cycle, etc. The calculation score. The level requirements of the business function interaction capability subdomain are calculated based on the evaluation indicators: a) limited data, wireless perception, and transmission interaction; b) plug-and-play access, perception, and transmission interaction; c) intelligent adaptation interface perception and transmission interaction; d) professional knowledge recognition and transmission interaction; e) the calculation score of the presence or absence of self-learning perception of professional field knowledge, transmission interaction, etc.

[0079] The level requirements of the equipment adaptability subdomain of the technical characteristics capability domain, the evaluation indicators for calculation refer to: a) data is limited, wireless perception, and transmission compatibility; b) plug-and-play access, perception, and transmission compatibility; c) intelligent adaptation interface perception, transmission compatibility; d) professional knowledge identification, transmission compatibility; e) self-learning perception of professional field knowledge, transmission, etc. The level requirements of the data format conversion capability subdomain, the evaluation indicators for calculation refer to: a) data is limited, wireless perception, transmission exchange; b) plug-and-play access, perception, transmission exchange; c) intelligent adaptation interface perception, transmission exchange; d) professional knowledge identification, transmission exchange; e) self-learning perception of professional field knowledge, transmission exchange, etc. The level requirements of the software adaptability subdomain, the evaluation indicators for calculation refer to: a) data is limited, wireless perception, and transmission compatibility; b) plug-and-play access, perception, and transmission compatibility; c) intelligent adaptation interface perception, transmission compatibility; d) professional knowledge identification, transmission compatibility; e) self-learning perception of professional field knowledge, transmission, etc. The calculation score.

[0080] Textile Tentacle Module 1 is a big data perception module, which mainly realizes the collection, transmission and processing of textile big data, as well as the input of domain knowledge. It covers the generation process of smart textile big data, including planning, scheduling, procurement, production, quality inspection, warehousing, sales and other aspects, reflecting the integrity and systematic characteristics of the smart textile big data ecosystem. Textile Tentacle realizes terminal hardware, information carrier, multi-terminal integrated big data perception, etc.

[0081] S3: Construct Textile World Module 2 according to the Textile World Maturity Level requirements.

[0082] The evaluation formula for the maturity level of Textile World Module 2 is as follows:

[0083]

[0084] In formula (2), W world_i，world_j represents the weight of the textile world module, A world_i，world_j It represents the evaluation value of the textile world module, world_i represents the construction method, business characteristics and technical characteristics of the textile world, that is, world_i = {construction method, business characteristics, technical characteristics}; world_j represents the first level (perception level), second level (automatic level), third level (intelligent level), fourth level (cognitive level) or fifth level (wisdom level) maturity requirements of the textile world, that is, world_j = {[a,z]|[first level (perception level), second level (automatic level), third level (intelligent level), fourth level (cognitive level) or fifth level (wisdom level)]}.

[0085] Among them, the level requirements of the knowledge acquisition system subdomain of the construction method capability domain, business characteristic capability domain, and technical characteristic capability domain, and the evaluation indicators of calculation refer to the calculation scores of a) active acquisition; b) passive acquisition; c) intelligent acquisition; d) self-learning acquisition, etc. The level requirements of the knowledge storage system subdomain, and the evaluation indicators of calculation refer to the calculation scores of a) local storage; b) cloud storage; c) intelligent storage; d) graph storage; e) self-learning storage, etc. The level requirements of the knowledge application system subdomain, and the evaluation indicators of calculation refer to the calculation scores of a) intelligent question and answer; b) intelligent recommendation; c) auxiliary decision-making; d) professional interpretation; e) self-learning decision-making, etc.

[0086] Textile World Module 2 is a knowledge graph in a professional field, which describes the knowledge elements and their connections in a structured form, including textile laws and regulations, departmental regulations, normative documents, nationally recognized product manuals, textile equipment registration certificates, process paths, technical operation specifications, standards, textile textbooks, expert consensus, monographs, and literature. Among them, knowledge elements refer to independent knowledge units that describe a certain thing or concept and do not need to be further divided. They can be divided into entities, concepts (entity types), attributes, relationships, relationship types, events, rules (inference logic), etc. The Textile Brain Knowledge Graph has two main uses: one is to provide textile companies with analysis, prediction, and decision support for the entire life cycle of big data; the other is to provide professional explanations for decision support for customers in the textile industry.

[0087] S4: Construct Textile Thinking Module 3 according to the Textile Thinking Maturity Level requirements.

[0088] The evaluation formula for the maturity level of textile thinking module 3 is as follows:

[0089]

[0090] In formula (3), W t h ink_i，think_j represents the weight of the textile thinking module, A think_i，think_j It represents the evaluation value of the textile thinking module, think_i represents the construction method, business characteristics and technical characteristics of textile thinking, that is, think_i = {construction method, business characteristics, technical characteristics}; think_j represents the first level (perception level), second level (automatic level), third level (intelligent level), fourth level (cognitive level) or fifth level (wisdom level) maturity requirements of textile thinking, that is, think_j = {[a,z]|[first level (perception level), second level (automatic level), third level (intelligent level), fourth level (cognitive level) or fifth level (wisdom level)]}.

[0091] Among them, the level requirements of the data modeling system subdomains in the construction method capability domain, business characteristic capability domain, and technical characteristic capability domain, and the evaluation indicators of calculation refer to the calculation scores of a) relational, non-relational, and big data types; b) predictive analysis type; c) graph type; e) self-learning type, etc. The level requirements of the data mining system subdomain, and the evaluation indicators of calculation refer to the calculation scores of a) relational, non-relational, and big data types; b) predictive analysis type; c) graph type; e) self-learning type, etc.

[0092] Textile thinking module 3 is a big data and knowledge analysis module, which is mainly used for data modeling, knowledge modeling, algorithm modeling, computational modeling and analysis of systems such as cost forecasting, business early warning, progress monitoring, quality monitoring, equipment monitoring, order traceability, quality traceability, business analysis, and financial analysis information of textile enterprises. The processing forms of big data are mainly batch processing of static data, real-time processing of online data, large model knowledge question and answer, and comprehensive processing of graph data.

[0093] S5: Construct textile decision module 4 according to the textile decision maturity level requirements.

[0094] The evaluation formula of the maturity level of textile decision module 4 is as follows:

[0095]

[0096] In formula 4, W decision_i，decision_j represents the weight of the textile decision module, A decision_i，decision_j It represents the evaluation value of the textile decision-making module, decision_i represents the construction method, business characteristics and technical characteristics of the textile decision, that is, decision_i = {construction method, business characteristics, technical characteristics}; decision_j represents the first-level (perception level), second-level (automatic level), third-level (intelligent level), fourth-level (cognitive level) or fifth-level (intelligent level) maturity requirements of the textile decision, that is, decision_j = {[a,z]|[first-level (perception level), second-level (automatic level), third-level (intelligent level), fourth-level (cognitive level) or fifth-level (intelligent level)]}.

[0097] Among them, the level requirements of the visualization system subdomains of the construction method capability domain, business feature capability domain, and technical feature capability domain, and the evaluation indicators of calculation refer to the calculation scores of a) real-time data visualization; b) statistical result visualization; c) analysis result visualization; d) knowledge visualization; e) self-learning decision visualization, etc. The level requirements of the knowledge explanation system subdomain, and the evaluation indicators of calculation refer to the calculation scores of a) interactive feedback explanation; b) automatic recommendation explanation; c) knowledge discovery explanation; d) knowledge graph explanation; e) self-learning decision explanation, etc.

[0098] Textile decision module 4 is the knowledge display module of the textile brain, which is a visual display and professional explanation of domain data and knowledge reasoning and decision-making. It comprehensively analyzes textile knowledge and customer information, provides various forms of assistance for managers' business activities, and facilitates the integration, interconnection or data sharing of various systems in textile enterprises. Data should be unified, standardized, complete and accurate, and be able to provide the required structured data, visual display and professional explanation for decision support.

[0099] S6: Construct the textile hub module 5 according to the textile hub maturity level requirements.

[0100] The evaluation formula for the maturity level of textile hub module 5 is as follows:

[0101]

[0102] In formula (5), W base_i，base_j represents the weight of the textile decision module, A base_i，base_j represents the evaluation value of the textile decision-making module, base_i represents the construction method, business characteristics and technical characteristics of the textile hub, that is, base_i = {construction method, business characteristics, technical characteristics}; base_j represents the first-level (perception level), second-level (automatic level), third-level (intelligent level), fourth-level (cognitive level) or fifth-level (intelligent level) maturity requirements of the textile hub, that is, base_j = {[a,z]|[first-level (perception level), second-level (automatic level), third-level (intelligent level), fourth-level (cognitive level) or fifth-level (intelligent level)]}.

[0103] Among them, the level requirements of the database system subdomain of the construction method capability domain, business characteristic capability domain, and technical characteristic capability domain, and the evaluation indicators of calculation refer to the calculation scores of a) relational, non-relational, and big data types; b) predictive analysis type; c) graph type; d) self-learning type, etc. The level requirements of the data warehouse system subdomain, and the evaluation indicators of calculation refer to the calculation scores of a) relational, non-relational, and big data types; b) predictive analysis type; c) graph type; d) self-learning type, etc. The level requirements of the knowledge graph management subdomain, and the evaluation indicators of calculation refer to the calculation scores of a) relational, non-relational, and big data types; b) predictive analysis type; c) graph type; d) self-learning type, etc.

[0104] Textile Hub Module 5 is a data lake composed of big data and expertise in the textile field, which is the foundation and core unit of the entire textile brain. The textile data lake is a centralized repository that allows the storage of multiple sources, all structured and unstructured data at any scale. It can store data as it is without structuring the data, and run different types of analysis on the data, such as big data processing, real-time analysis, and machine learning, to guide better decision-making.

[0105] According to formula (1) to formula (5), the calculation formula of the total value of the maturity of the smart textile artificial brain platform can be obtained as shown in formula (6):

[0106]

[0107] The classification of the quantitative results of maturity level assessment is shown in Table 2.

[0108] Table 2 Maturity level assessment quantitative results level

[0109]

[0110] Providing textile enterprises with intelligent tools that function as brains and a set of practical methods has become a real need for enterprises. This set of methods is as applicable as possible to the digital, intelligent, and smart upgrades of textile enterprises, and can take into account the customized needs of the specific environment of the enterprise's subdivisions, thereby promoting the development of the entire industry and technological progress.

[0111] By simulating the working mechanism of the human brain and integrating the big data and professional knowledge of textile enterprises, the constructed platform has the characteristics of self-perception, self-learning, self-decision-making, self-execution, and self-adaptation, which can enhance the intelligence of applications and services such as cognition, diagnosis, prediction and decision-making of textile enterprises and entrepreneurs.

[0112] It is applicable to all kinds of textile enterprises, including chemical fiber, cotton textile, wool textile, silk textile, linen textile, printing and dyeing, knitting, clothing, household and industrial textile products, textile equipment and other production enterprises. It is applicable to all kinds of textile enterprises and various organizations that provide information support, and the applicable objects are mainly textile entrepreneurs, but also information technology personnel.

[0113] It integrates innovative applications of new-generation information technologies such as the Internet of Things, big data, cloud computing, digital twins, and artificial intelligence, incorporates professional knowledge in the textile field, and continues to evolve into a multi-dimensional application space.

[0114] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for realizing a textile brain, characterized in that the steps include: S1: Construction of textile brain models according to maturity levels; S2: Designing the textile antenna module (1) according to the maturity level requirements of the textile antenna module (1) to obtain a score of the textile antenna module (1); S3: Design the textile world module (2) according to the maturity level requirements of the textile world module (2) to obtain the score of the textile world module (2); S4: designing the textile thinking module (3) according to the maturity level requirements of the textile thinking module (3) and obtaining the score of the textile thinking module (3); S5: designing the textile decision module (4) according to the maturity level requirement of the textile decision module (4) to obtain the score of the textile decision module (4); S6: Design the textile hub module (5) according to the maturity level requirements of the textile hub module (5) to obtain the score of the textile hub module (5); S7: Calculate the maturity of the artificial brain of the smart textile according to the total value calculation formula of the maturity of the smart textile artificial brain platform.

2. The method for realizing the textile brain according to claim 1, characterized in that: The textile brain model comprises a textile antenna module (1), a textile world module (2), a textile thinking module (3), a textile decision module (4) and a textile hub module (5); the textile antenna module (1), the textile world module (2), the textile thinking module (3) and the textile decision module (4) are all connected to the textile hub module (5); the textile antenna module (1) is connected to the textile world module (2); and the textile thinking module (3) is connected to the textile decision module (4).

3. The method for realizing the textile brain according to claim 2, characterized in that: The method for constructing a textile brain according to maturity levels described in step S1 is: the maturity levels include first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level and fifth-level wisdom level. Based on actual needs, the textile brain is constructed according to the maturity level comparison table.

4. The method for realizing the textile brain according to claim 3, characterized in that: The maturity level comparison table is as follows:

5. The method for realizing the textile brain according to any one of claims 2 to 4, characterized in that: The method for designing the textile antenna module according to the maturity level requirement of the textile antenna module in step S2 is: The capabilities required for the maturity level of the textile antenna module (1) are divided into: the construction method of the textile antenna module (1), the business characteristics of the textile antenna module (1) and the technical characteristics of the textile antenna module (1); The evaluation formula of the textile antenna module (1) is: Among them, W ant_i，ant_j represents the weight of the textile antenna module, a ant_i，ant_j represents the evaluation value of the textile antenna module, ant_i represents the construction method capability domain, business characteristic capability domain or technical characteristic capability domain of the textile antenna, ant_i = {construction method, business characteristic, technical characteristic}; ant_j represents the maturity requirement conditions of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level of the textile antenna, and the evaluation score of the textile antenna module (1) is calculated according to the actual needs of the construction method of the textile antenna module (1), the business characteristics of the textile antenna module (1) and the technical characteristics of the textile antenna module (1); Among them, the construction method capability domain of the textile antenna module (1) is the network facility system subdomain, the business characteristics of the textile antenna module (1) are the data perception system subdomain, and the technical characteristics of the textile antenna module (1) are the data transmission system subdomain; among them, the level requirements of the network facility system subdomain, the evaluation indicators of the calculation refer to: a) wired and wireless access; b) plug-and-play access to the network; c) intelligent adaptation interface; d) professional knowledge identification; e) the calculation score of self-learning professional knowledge, etc.; the level requirements of the data perception system subdomain, the evaluation indicators of the calculation refer to: a) active perception data; b) passive perception data; c) intelligent perception data; d) perception of professional field knowledge data; e) the calculation score of self-learning perception of professional field knowledge data, etc.; the level requirements of the data transmission system subdomain, the evaluation indicators of the calculation refer to: a) limited and wireless perception data transmission; b) plug-and-play access to the network data transmission; c) intelligent adaptation interface data transmission; d) professional knowledge identification data transmission; e) the calculation score of self-learning perception of professional field knowledge data transmission, etc. The business feature capability domain includes the scenario business closed-loop subdomain, the data flow full life cycle subdomain and the business function interaction capability subdomain; the level requirements of the scenario business closed-loop subdomain, the evaluation indicators of the calculation refer to: a) limited, wireless network, perception, transmission to form a closed loop; b) plug-and-play access, perception, transmission to form a closed loop; c) intelligent adaptation interface perception, transmission to form a closed loop; d) professional knowledge recognition, transmission to form a closed loop; e) self-learning perception of professional field knowledge, transmission to form a closed loop, etc. The calculation score; the level requirements of the data flow full life cycle subdomain, the evaluation indicators of the calculation refer to: a) data limited, wireless perception, transmission transmission life cycle; b) plug-and-play access, perception, transmission life cycle; c) intelligent adaptation interface perception, transmission life cycle; d) professional knowledge identification, transmission life cycle; e) whether there is calculation score for self-learning perception professional field knowledge, transmission life cycle, etc.; the level requirements of the business function interaction capability subdomain, the evaluation indicators calculated refer to: a) limited data, wireless perception, transmission interaction; b) plug-and-play access, perception, transmission interaction; c) intelligent adaptation interface perception, transmission interaction; d) professional knowledge identification, transmission interaction; e) whether there is calculation score for self-learning perception professional field knowledge, transmission interaction, etc.; The technical characteristics capability domain includes the device adaptability subdomain, the data format conversion capability subdomain and the software adaptability subdomain; the level requirements of the device adaptability subdomain, the evaluation indicators of the calculation refer to: a) limited data, wireless perception, transmission compatibility; b) plug-and-play access, perception, transmission compatibility; c) intelligent adaptation interface perception, transmission compatibility; d) professional knowledge recognition, transmission compatibility; e) self-learning perception of professional field knowledge, transmission, etc. The calculation score; the level requirements of the data format conversion capability subdomain, the evaluation indicators of the calculation refer to: a) limited data, wireless perception, transmission transmission and exchange; b) plug-and-play network access, perception, transmission and exchange; c) intelligent adaptation interface perception, transmission and exchange; d) professional knowledge identification, transmission and exchange; e) the presence or absence of self-learning perception of professional field knowledge, transmission and exchange, etc., is calculated with score; the level requirements of the software adaptability sub-domain, and the calculated evaluation indicators refer to: a) limited data, wireless perception, transmission compatibility; b) plug-and-play network access, perception, transmission compatibility; c) intelligent adaptation interface perception, transmission compatibility; d) professional knowledge identification, transmission compatibility; e) the presence or absence of self-learning perception of professional field knowledge, transmission, etc. is calculated with score.

6. The method for realizing the textile brain according to claim 5, characterized in that: The method for designing the textile world module according to the maturity level requirements of the textile world module in step S3 is: The evaluation formula for the maturity level of the Textile World Module (2) is: Among them, W world_i，world_j represents the weight of the textile world module, a world_i，world_j represents the evaluation value of the textile world module, world_i represents the construction method of the textile world module (2), the business characteristics of the textile world module (2) and the technical characteristics of the textile world module (2), world_i = {construction method, business characteristics, technical characteristics}; world_j represents the maturity requirements of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level of the textile world, world_j = {[a,z]|[first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level]}; the evaluation score of the textile world module (2) is calculated according to the construction method, business characteristics and technical characteristics of actual needs; Among them, the level requirements of the knowledge acquisition system subdomain of the construction method of the textile world module (2), the business characteristics of the textile world module (2) and the technical characteristics of the textile world module (2), and the evaluation indicators of the method capability domain calculation refer to: a) active acquisition; b) passive acquisition; c) intelligent acquisition; d) self-learning acquisition, etc., and the evaluation indicators of calculation refer to: a) local storage; b) cloud storage; c) intelligent storage; d) graph storage; e) self-learning storage, etc., and the technical characteristics capability domain is the knowledge application system subdomain, and the level requirements of the knowledge application system subdomain, and the evaluation indicators of calculation refer to: a) intelligent question and answer; b) intelligent recommendation; c) decision support; d) professional interpretation; e) self-learning decision, etc. ...

7. The method for realizing the textile brain according to claim 6, characterized in that: The method for designing the textile thinking module according to the maturity level requirements of the textile thinking module in step S4 is: The maturity level of the Textile Thinking Module (3) is evaluated as follows: Among them, W think_i，think_j represents the weight of the textile thinking module, A think_i，think_j represents the evaluation value of the textile thinking module, think_i represents the construction method, business characteristics and technical characteristics of the textile thinking, think_i = {construction method, business characteristics, technical characteristics}; think_j represents the maturity requirements of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level wisdom level of the textile thinking, think_j = {[a,z]|[first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level wisdom level]}; according to actual needs, the evaluation score of the textile thinking module (3) is calculated based on the construction method of the textile thinking module (3), the business characteristics of the textile thinking module (3) and the technical characteristics of the textile thinking module (3); Among them, the level requirements of the data modeling system subdomain of the construction method capability domain, business characteristic capability domain and technical characteristic capability domain of the textile thinking module (3), the evaluation index of the method capability domain calculation refers to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; e) self-learning type, etc., and the level requirements of the data mining system subdomain, the evaluation index of the business characteristic capability domain calculation refers to: a) relational, non-relational, big data type; b) Predictive analysis type; c) Graph type; e) Self-learning type, etc., whether or not the scores are calculated.

8. The method for realizing the textile brain according to claim 7, characterized in that: The method for designing the textile decision module according to the maturity level requirements of the textile decision module in step S5 is: The evaluation formula for the maturity level of the textile decision module (4) is: Among them, W decision_i，decision_j represents the weight of the textile decision module, A decisiin_i，decision_j represents the evaluation value of the textile decision module, decision_i represents the construction method of the textile decision module (4), the business characteristics of the textile decision module (4) and the technical characteristics of the textile decision module (4), decision_i = {construction method, business characteristics, technical characteristics}; decision_j represents the maturity requirement of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level of the textile decision, decision_j = {[a,z]|[first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level]}, and the evaluation score of the textile decision module (4) is calculated based on the construction method, business characteristics and technical characteristics of the textile decision module (4) according to actual needs; Among them, the level requirements of the visualization system subdomain of the construction method capability domain of the textile decision module (4), the business characteristics capability domain of the textile decision module (4) and the technical characteristics capability domain of the textile decision module (4), and the evaluation indicators of the calculation refer to: a) real-time data visualization; b) statistical result visualization; c) analysis result visualization; d) knowledge visualization; e) self-learning decision visualization, etc., and whether there are calculated scores; the level requirements of the knowledge interpretation system subdomain, and the evaluation indicators of the calculation refer to: a) interactive feedback interpretation; b) automatic recommendation interpretation; c) knowledge discovery interpretation; d) knowledge graph interpretation; e) self-learning decision interpretation, etc., and whether there are calculated scores.

9. The method for realizing the textile brain according to claim 8, characterized in that: The method for designing the textile hub module according to the maturity level requirements of the textile hub module in step S6 is: The evaluation formula for the maturity level of the textile hub module (5) is: Among them, W base_i，base_j represents the weight of the textile decision module, A base_i，base_j represents the evaluation value of the textile decision-making module, base_i represents the construction method, business characteristics or technical characteristics of the textile hub module (5), base_i = {construction method, business characteristics, technical characteristics}; base_j represents the maturity requirements of the first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level of the textile hub, base_j = {[a,z]|[first-level perception level, second-level automatic level, third-level intelligent level, fourth-level cognitive level or fifth-level intelligent level]}; according to actual needs, the evaluation score of the textile hub module (5) is calculated based on the construction method, business characteristics and technical characteristics of the textile hub module (5); Among them, the level requirements of the database system subdomain of the construction method capability domain of the textile hub module (5), the business characteristics capability domain of the textile hub module (5) and the technical characteristics capability domain of the textile hub module (5), and the calculated evaluation indicators refer to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; d) self-learning type, etc., and whether the scores are calculated; the level requirements of the data warehouse system subdomain, and the calculated evaluation indicators refer to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; d) self-learning type, etc., and whether the scores are calculated; the level requirements of the knowledge graph management subdomain, and the calculated evaluation indicators refer to: a) relational, non-relational, big data type; b) predictive analysis type; c) graph type; d) self-learning type, etc., and whether the scores are calculated.

10. The method for realizing the textile brain according to claim 9, characterized in that: The calculation formula of the total value of the maturity of the smart textile artificial brain platform is: Among them, Score ant is the score of the textile antenna module (1), base is the score of Textile World Module (2), Score world is the score of the Textile Thinking Module (3), Score think is the score of the textile decision module (4), decision It is the score of the Textile Hub Module (5).

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