EP-4736036-A1 - HARDWARE/SOFTWARE NETWORK INFRASTRUCTURE AND RELATED PROCESS FOR INNOVATION ACTIVITY ANALYSIS

Abstract

The invention encompasses a network hardware and software infrastructure, augmented by a distinctive data processing methodology. This methodology is specifically tailored for deployment in business and industrial environments. Its primary function is to formulate directives and guidelines pivotal for the advancement of innovation-driven projects. It employs artificial intelligence (AI) algorithms. Furthermore, the invention utilizes a category of hardware devices designed to monitor computational operations. This ensures that the processed information is accessible exclusively to authorized users.

Inventors

• CORRADETTI, Ivano

Assignees

• CAMBIAVERSO S.R.L.

Dates

Publication Date

20260506

Application Date

20240625

Claims (1)

1. CLAIMS [Claim 1] Data elaboration process in an network infrastructure consisting of Server-type computer machines (1 1), of “n” data elaboration devices connected to it called “Client” (10, 14), also of portable type as smartphones and tablets, and of “n” hardware devices called “Unique Identifier” (16) designed to create an authorization for the use of processes processed by the network infrastructure, said Servers resident in local LAN and WAN networks, said Servers even realized by the use of virtual machines organized in Cloud, said Client devices connected to the network infrastructure also via VPN-type encrypted connections (Virtual Private Network), in which: a. access to the network infrastructure is governed by two authorization level, i. a first level confirmed by the mere presence of a Client elaboration data device authorised by a password login, ii. a second level generated by the software and by the firmware of the Unique Identifier hardware device when connected to the Client elaboration data device, b. a process, resident in one or more Servers of the network infrastructure called “Project Generator” (20), acquires, via data entry by an authorized user, a dataset relating to a project called “PRJ” and stores it in a database in one or more Servers of the network infrastructure, c. an Artificial Intelligence algorithm, resident in one or more Servers of the network infrastructure, called “Keywords Generator P” (23), elaborates the datasets of the Project Generator database and creates some keywords characterizing the project, said keywords weighted by: i. the presence of intellectual propriety and/or products/services that are the same or similar to the PRJ, even parametrized to the geolocation of the PRJ, ii. the field of application and the product sector of the PRJ, also parametrized to the geolocation of PRJ, iii. the time factor related to the development of the PRJ project, iv. the financial/technical/commercial aspects of the PRJ project promoter, d. the keywords are memorized in a database resident in one or more Servers of the network infrastructure called “keywords DataBase P” (26), e. a process, residing in one or more Servers of the network infrastructure called Market Analyzer (28) automatically acquires, through an Artificial Intelligence algorithm, a dataset called “market”, said dataset consisting of technical/commercial information of private companies, professionals, public companies and providers of finance and procurement, said market dataset memorised in a database, said database even supplemented by information provided by an user authorised to access the network infrastructure, said dataset market consisting of: i. public and private funding calls parametrized to the geolocation of PRJ, ii. partnership offers in public and private projects parametrized to the geolocation of PRJ, iii. market demands for products and/or services parametrized to the geolocation of the PRJ, iv. possibility to deposit Intellectual Property rights relating to the PRJ, v. scanning of network search engines and databases of regulatory bodies, vi. job applications, also parametrized to the geolocation of the PRJ, f. an Artificial Intelligence algorithm, resident in one or more Servers of the network infrastructure called Keywords Generator M (201) processes the dataset of the Market Analyser and creates keywords characterizing the Market Analyser dataset, storing them in a database in one or more Servers of the network infrastructure called Keywords Database M (204), g. a process, resident in one or more Servers of the network infrastructure, called Data Processing (27), through an Artificial Intelligence algorithm, executes a matching between the keywords stored in the Keywords Database P and in the Keywords Database M in which: i. the matching of one or more keywords of Database P with one or more keywords of Keywords Database M represents one or more evidences of the interaction of PJR with the market, ii. the Data Processing, by means of its Artificial Intelligence algorithm drafts, from the interaction evidences, pre-filled forms, said pre-filled forms containing a set of instructions to put the PJR in contact with the market, h. the Data Processing generates a score between 0 and 100 which is proportional to the amount of identities obtained by the matching between the keywords stored in the Keywords Database M and those stored in the Keywords Database P; said score called OL “Opportunity Level”, i. the Data Processing makes the OL score available to Client data processing devices with authorizations of first and second level, this score displayed within a graphical element of a GUI (Graphic User Interface) in which: i. the OL is displayed within a first circular graphic element (41) whose relative position varies inside and outside a second circular graphic element with a larger diameter (42), said position of the first circular graphic element is completely external to the second circular graphic element when the OL score is “0” (43), said first circular graphic element position is completely concentric to the second graphic element when the OL score is “100” (44), ii. all the other score values of OL between “0” and “100” are used to determine a position of the first circular graphic element in intersection with the second circular graphic element, j. Keywords Generator P, Keywords Generator M processes and Keywords Database P and Keywords Database M databases are editable by a user connected to the network infrastructure by means of a Client data processing device equipped with a second level authorization (21 , 22, 24, 25, 29, 200, 202, 203) connected with the Unique Identifier device (205), [Claim 2] Unique Identifier device used in the process of Claim 1 that can be connected to the Client data processing device arranged with: a. a microprocessor, also described by a firmware code in a FPGA (Field Programmable Gate Array), equipped with internal and external memory, b. a bidirectional data communication interface wired type, preferably LAN/WAN, and a bidirectional data communication interface wireless type, preferably WLAN and Bluetooth, c. a GPS sensor, d. a DC/DC Converter, e. one or more inner batteries, f. an optional graphical interface for the user, g. a firmware/software for the creation of network infrastructure second level accesses when connected to a Client data processing device by checking one or more of the following factors: i. a specific geolocation within a set of coordinates provided by the network infrastructure Server and/or stored locally in the Unique Identifier, ii. an authorization code provided by the network infrastructure Servers according to a security protocols, iii. the verification of the user’s identity by accessing one of the unique person identification services, preferably digital signature, electronic identity card, CNS (National Service Charter), iv. an unique code generated by Block Chain technology, v. an IP address family, [Claim 3] Process of Claim 1 in which the Data Processing generates an interrupt towards the Client data processing device for the communication of a variation of the OL score. [Claim 4] Process of Claim 1 in which the Data Processing generates an interrupt towards the Client data processing device of cyclic type for the communication of the OL score. [Claim 5] Process of Claim 1 in which the generation of keywords in the respective databases keywords Database P and Keywords Database M are asynchronous process. [Claim 6] Process of Claim 1 in which: a. the Data Processing, by its Artificial Intelligence algorithm, executes a match between the keywords of Keywords Database P and those of Keywords Database M, b. the match between the keywords generates one or more evidences of interaction of the PRJ with the market, c. the interaction of the PRJ with the market evidences are parametrized to the geolocation of PRJ, d. the interaction of the PRJ with the market evidences are communicated, through an interrupt indication generated by the Data Processing, to the Client devices enabled by a second-level authorization via the Unique Identifier. [Claim 7] Process of Claim 1 and 6 in which: a. the Data Processing, by its Artificial Intelligence algorithm, executes a match between the keywords of Keywords Database P and those of Keywords Database M, b. the match between the keywords generates one or more evidences of the interaction of the PRJ with the market, c. the interaction of the PRJ with the market evidences are parametrized to the geolocation of PRJ, d. the interaction of the PRJ with the market evidences are classified according to the OL score, e. the interaction of the PRJ with the market evidences and the OL score are communicated, through an interrupt indication generated by the Data Processing, to the Client devices enabled by a second level authorization via the Unique Identifier. [Claim 8] Process of Claim 1 , 6 and 7 in which: a. the Data Processing, by its Artificial Intelligence algorithm, executes a match between the keywords of Keywords Database P and those of Keywords Database M, b. the match between the keywords generates one or more evidences of the interaction of the PRJ with the market, c. the Data Processing, by its Artificial Intelligence algorithm drafts, from the interaction of the PRJ with the market evidences, pre-filled forms, said pre-filled forms built on the basis of the information obtained in the PJR dataset database and the market dataset database processed by the Market Analyzer, d. the pre-filled forms are parametrized to the PRJ geolocation, e. the pre-filled forms are sent, through an interrupt indication generated by the Data Processing, to Client devices enabled by a second-level code via the Unique Identifier. [Claim 9] Process of Claim 1 , 6, 7 and 8 in which: a. the Data Processing, by its Artificial Intelligence algorithm, executes a match between the keywords of Keywords Database P and those of Keywords Database M, b. the match between the keywords generates one or more evidences of the interaction of the PRJ with the market, c. the Data Processing, by its A. I. algorithm drafts, from the interaction of the PRJ with the market evidences, pre-filled forms, said pre-filled forms built on the basis of the PRJ dataset and the market dataset, processed by the Market Analyzer, d. the pre-filled forms are parametrized to the geolocation of the PRJ, e. the pre-filled forms are classified according to the OL score, f. the pre-filled forms are sent, through an interrupt indication generated by the Data Processing, to the Client devices enabled by a second level code via the Unique Identified

Description

DESCRIPTION Title of invention: Hardware/software network infrastructure and related process for innovation activity analysis. Scope of invention [0001] The present invention is unveiled in the field of processes, supported by hardware and software data processing infrastructure, suitable for generating indications for the management of technological innovation processes applied to the world of industry and commerce. Background Art [0002] Technological innovation is the basis for all the processes of evolution that shape much of our lives. Since the scientific method has outlined the key to understanding physical phenomena, man has had in his hands a tool of exceptional scope with which to improve his state of life and adapt the world to his needs. [0003] The results of continuous research processes have spilled over into industry, profoundly altering society, changing lifestyles, the appearance of the land, how we interact with our surroundings, and interpersonal relationships. The Internet is a prime example of this impact on social relations. [0004] Over the past few decades, advances in technological innovation have employed specialized computational tools, establishing a new paradigm. These tools range from simple “tools” for assisting scientific inquiry to entities with great logical potential, described in special software environments. [0005] These resources enable us to develop most of the simulations that enable us to predict, for example, the behavior that results from the manipulation of matter and energy, or abstract patterns of operation i that our intellectual abilities, taken individually, could not effectively delineate. [0006] The world of industry has also become an actor, promoting specific fields of application in which the power of these logical entities is customized and adapted to such scenarios. [0007] Companies can use predictive tools, such as those in finance, electronic construction technology, medicine, and building engineering, to generate projections on the progress of processes, changes in the status quo, and hypotheses of otherwise unrecognizable phenomena. These tools are based on the history of events and the nature of the individual factors being examined. [0008] Although we are far from developing sentient machines capable of autonomous decision-making, the professionally trained Artificial Intelligence (Al) algorithms we have created become virtually irreplaceable when optimally applied within specific fields. [0009] Humans will continue to play a predominant role in decisionmaking for two substantial reasons. First, Al works and generates great advantages when installed and modeled properly within a narrow and well-defined scope. Al is incapable of contextualizing reality. Second, the ability to evaluate heterogeneous, integral-type phenomena, typical of the human brain, is still unattainable for the Al algorithms. [0010] The impact of innovation through Al is significant, and its use is growing exponentially. Companies that innovate are using innovation itself to achieve results that were unimaginable until recently. [001 1] Innovation must be normalized for it to be applied and managed in a profitable and predictable way. Companies that want to take advantage of its benefits must acquire protocols and behaviors that are truly effective. At the same time, it must be possible to understand when the use of innovation processes is incorrect and/or not optimized. This is when a result is manifested that is not in line with the initial premises. [0012] To this end, specific implementation standards such as those of IS056002 provide general guidelines that enable the processes of innovation to be applied to the world of industry in a fruitful way. They educate the manufacturing world for the purpose of achieving the maximum possible benefits. [0013] However, in the processes described in the previous paragraphs, critical issues may emerge that make the very aspects of innovation in companies far from a desired level of efficiency. This occurs when the human factor intersects with the support tools generated by innovation. For example: a. the large number of variables dependent on factors exogenous to the company still not delegated to automatic evaluation processes. These cannot be managed in real time by a single individual or management team without adequate support, b. the variability of human behaviors related to psychological and behavioral factors. These sometimes emerge uncontrolled in work environments without appropriate filtering and weighting, c. the inability to handle events in which timeliness of response is vital to reap benefits or limit damage is a significant challenge, d. the inability to quickly decipher and interpret news pertinent to a company's interests when published and disseminated by third parties in a heterogeneous manner or in bureaucratic language is another significant challenge, e. the difficulty of keeping some strategic informati