RISK MANAGEMENT SYSTEM AND METHOD, PREVENTION MEASURES AND EVALUATION IN WORK ENVIRONMENTS

Description

RISK MANAGEMENT SYSTEM AND METHOD, PREVENTION MEASURES AND EVALUATION IN WORK ENVIRONMENTS FIELD OF APPLICATION [1] This invention patent refers to a system and method for risk management, prevention measures and evaluation in work environments, being employed in the management of Occupational Health and Safety (OHS) in accordance with the Regulatory Standards of the Brazilian Ministry of Labor. Thus, said invention, through the system, promotes a means of collecting, organizing and managing data related to occupational risks, aiming to provide a user with documents that are mandatory for the legal compliance of companies. The method, in turn, promotes the systematization and standardization of the stages of collection, analysis and management of data related to occupational risks, enabling greater efficiency and precision in the process. [2] In this way, a system and method are provided which, together, guarantee the legal compliance of companies, increase safety in the workplace and optimize risk management processes, resulting in a positive impact on occupational health and a reduction in operating costs. STATE OF THE ART [3] The field of occupational health and safety (OHS) management has evolved significantly over the last few decades, driven by the growing need to ensure safe working environments in compliance with occupational health regulations and standards. Historically, companies have adopted manual methods for collecting data related to occupational risks, using paper checklists or non-integrated digital forms. These methods, while functional in their time, have evident limitations in terms of Petition 870250004431, dated 20 / 01 / 2025, page 6 / 26 2 / 14 efficiency, accuracy and ability to generate useful data for the preparation of mandatory OHS documents. [4] Despite the evolution of occupational safety regulations since the 1970s, such as NR 5 and NR 9, risk assessment and management processes still face significant challenges related to the manual nature of inspections and the lack of technological integration. This not only delays the identification and mitigation of risks, but also compromises the accuracy of the information collected. Furthermore, although some practices have been improved over the years, many procedures still depend on traditional approaches, as is the case in the preparation of technical programs and reports. [5] Currently, the preparation of the Risk Management Program (RMP), the Technical Report on Environmental Working Conditions (EWTC) and the Occupational Health and Medical Control Program (OHCMP) depends on a manual process where a safety and occupational safety (SLA) specialist or supervisor is responsible for conducting periodic visits to the factory or work environment. During these visits, the specialist must assess the work environment, identify the risks present, determine which Personal Protective Equipment (PPE) is needed and manually prepare action plans to mitigate these risks. This process requires a detailed survey of the operational and safety conditions on site, with the consequent documentation of each analysis and proposed action. [6] The process of developing action plans and risk assessment still largely depends on traditional and manual approaches, which is time-consuming and prone to errors. Automating these processes, which are currently carried out manually and in a decentralized manner, presents challenges in terms of standardization and efficiency. Petition 870250004431, dated 20 / 01 / 2025, page 7 / 26 3 / 14 [7] With the advancement of technology in the 1990s and 2000s, digital tools and management software focused on occupational safety and health began to emerge. These software programs enabled the digitization of data and the creation of electronic checklists, replacing paper forms. The main advantage of these systems was the elimination of the need for manual reprocessing of data for the preparation of documents such as the PGR, LTCAT and PCMSO. [8] The state of the art presents a variety of examples of systems and methods related to OHS management. One example is patent document BR 112016022907-0, filed on 03 / 31 / 2015 and entitled “Risk assessment system for process systems and risk assessment method”. This patent describes a system equipped with computerized units to assess risks in processes. The storage unit stores information about devices, while the operational unit receives data to assess the risk of failures. The calculation unit calculates two main factors: the importance of the device and the frequency of failures. Based on these factors, the assessment unit generates a graphical risk matrix, displayed by the display unit, facilitating the visualization of the state of the devices.The system uses visual elements, such as colors and flashing lights, to indicate the status of devices, such as a vapor collector, alerting to malfunctions or the need for attention. [9] The system described in patent BR 112016022907-0 presents significant limitations by focusing exclusively on the risk assessment related to the devices, disregarding the environment in which they are inserted. This approach ignores crucial occupational factors, such as exposure to chemical, physical or biological agents, and the interactions between variables in the work environment, compromising the integrated risk analysis.

[10] Furthermore, the system is unable to automatically provide data from the analyzed environment, forcing the analyst to fill it in. Petition 870250004431, dated 20 / 01 / 2025, page 8 / 26 4 / 14 manually correlating risks against the analyzed environment makes the process inefficient and prone to errors, as well as increasing operational costs.

[11] Thus, as in the previous example, several state-of-the-art approaches share the same limitation: dependence on manual processes to correlate risks with the work environment. This approach is inefficient in industrial contexts, where repetitive operations and operational scenarios often follow specific patterns that can be standardized and systematized.

[12] Manually correlating risk data with environmental characteristics is a task susceptible to human error, misinterpretation, and data inconsistencies. Furthermore, the lack of standardization in the data collection, management, and analysis stages, as well as the absence of clear and defined parameters, results in inconsistencies in inspection results and reports. This gap not only increases the risk of non-compliance with labor and occupational health standards but can also compromise the safety and well-being of workers.

[13] Thus, there is a need to develop a system that provides automation of data collection and provision, with real-time data integration and dynamic correlation of environmental variables, allowing the analyst to process information quickly and accurately.

[14] Furthermore, the lack of standardization in the collection and analysis of variables results in inefficiencies and inconsistencies in the information used in the preparation of regulatory documents, such as the PGR and the LTCAT. In addition, the absence of a structured method compromises the quality of the data, making the identification and mitigation of risks more susceptible to errors, as well as hindering the implementation of measures. Petition 870250004431, dated 20 / 01 / 2025, page 9 / 26 5 / 14 preventive and corrective measures must be implemented effectively. Therefore, the lack of a systematic approach leads to redundancies, increases the time required for analysis, and compromises the accuracy of risk assessments, which can result in non-compliance with occupational health and safety standards.

[15] Thus, aiming to overcome the gaps in the state of the art and contribute to technological advancement, it is an objective of the present invention to provide a system that automates the collection, analysis and provision of data related to workplace safety, performing the dynamic correlation between identified risks and environmental conditions.

[16] Another objective of the present invention is to provide a risk management system that eliminates the need for manual operations in identifying risks and in taking corrective or preventive actions, by automating data collection and analysis, providing accurate information to the safety specialist, which allows for the agile creation of action plans, the identification of necessary PPEs and the assessment of the risks involved.

[17] Another objective of the present invention is to provide a risk management system comprising a means of standardizing operations in similar industrial environments, based on common operational profiles, in order to allow the automation of data collection, dynamic risk analysis and the uniform application of preventive measures, ensuring not only greater efficiency and agility, but also continuous compliance with current safety standards.

[18] Furthermore, another objective of the present invention is to provide a method that promotes a systematization and standardization of the steps for collecting, analyzing, and managing data related to occupational risks, enabling greater efficiency and accuracy in the process, in order to minimize incidents, optimize resources, and ensure compliance with standards. Petition 870250004431, dated 20 / 01 / 2025, page 10 / 26 6 / 14 regulations, promoting a safer work environment aligned with best practices in Occupational Safety and Health (OSH). BRIEF DESCRIPTION OF THE FIGURES

[19] The objects of the present invention will be better understood in the light of the detailed description that follows in its preferred, but not limiting, embodiment, which is illustrated by the attached schematic drawings.

[20] Figure 1 illustrates the steps of a method (MT) for risk management, prevention measures and assessment of work environments. DETAILED DESCRIPTION

[21] The present invention describes a system (S) and method (MT) for risk management, prevention measures and assessment of work environments.

[22] The system (S) is responsible for promoting the automated integration of data collected in a work environment with predefined parameters and regulatory information, allowing the generation of complete risk inventories and the development of detailed action plans in an agile manner, ensuring compliance with occupational health and safety standards.

[23] In this way, the system (S) is composed of a remote access module (M), a parameterized database (BD), a risk assessment mechanism (MR) and a report generator (MG).

[24] The remote access module (M) is responsible for promoting interaction between a workplace safety specialist and the system (S), in order to allow the specialist to collect and enter data related to the inspected environment in real time. In addition, the module (M) provides the Petition 870250004431, dated 20 / 01 / 2025, page 11 / 26 7 / 14 specialist ability to enter information about the company profile, area or activity being inspected.

[25] In this way, the module (M) is configured as an interface, which performs an interconnection between information to be collected, and the specialist.

[26] To ensure the authenticity of the data entered and to avoid misrepresentation of the analyzed environment, module (M) has a secure authentication system, including login and password recovery. In addition, it allows the registration of initial information about the company, such as sector, position, working hours and specific areas to be inspected. Module (M) also provides lists and filters for previous evaluations, facilitating the management and monitoring of inspections carried out.

[27] The risk assessment mechanism (MR) is directly associated with module (M) and is responsible for performing the analysis and classification of risks in the work environment. The mechanism (MR) operates according to the data entered by the specialist in module (M), using the parameters pre-established in the database (DB), which stores and organizes detailed information on occupational risks and their respective control measures.

[28] In this way, the mechanism (MR) performs detailed analyses and prioritizes the collected risks, using interactive algorithms that suggest automatic descriptions for risks, generating sources, severity classifications, and control measures, based on the content accumulated in the database (DB). The mechanism (MR) accesses said data and then dynamically suggests corrective or preventive actions. These actions are based on customized checklists and the parameters of the database (DB), adjusting the recommendations according to the data entered. In addition, the mechanism (MR) also evaluates the effectiveness of the Personal Protective Equipment (PPE) and Collective Protective Equipment (CPE) used, Petition 870250004431, dated 20 / 01 / 2025, page 12 / 26 8 / 14 linking all suggested actions to applicable regulatory standards.

[29] In turn, the database (DB) is structured in accordance with the Regulatory Standards (NRs) and other current legal requirements, ensuring that the mechanism (MR) can provide recommendations that are always aligned with the regulations and specific conditions of the work environment.

[30] The database (DB) also stores information about the company’s sectors, positions and working hours, which allows risk assessments to be customized according to the profile of each operation. In this way, the database (DB) provides the basis for a dynamic assessment, in which the risk assessment mechanism (RM) can consult the information efficiently, adjusting the recommendations according to the context of the inspected environment.

[31] The database (DB) is continuously fed as the risk assessment mechanism (RM) receives new data about the work environment. When the specialist enters data about the risks identified in the module (M), the database (DB) stores this information and automatically correlates it with pre-established parameters, such as risk type, sector, position and operating conditions. The mechanism (RM), in turn, consults the database (DB) and adjusts the recommendations and corrective actions, ensuring that these are always aligned with the specific conditions of the inspected environment.

[32] The parameterized database (DB) comprises a relational structure, allowing the association between different types of data, such as risks, control measures and NRs. This structure facilitates the search for specific information and the analysis of complex data. Petition 870250004431, dated 20 / 01 / 2025, page 13 / 26 9 / 14

[33] In this way, the database (DB) is modular and scalable, allowing continuous updates and ensuring that the risk assessment mechanism (RM) always has access to up-to-date data. As new risks are identified or new NRs are published, the database adapts and adjusts the recommendations precisely and in a personalized manner, ensuring that corrective or preventive actions are always aligned with the actual environmental conditions and legal requirements. This flexibility allows the system to keep up with changes in operating conditions and regulations, ensuring the effectiveness of risk management.

[34] In terms of security, the database (DB) is accessed only by authorized users with different permission levels, ensuring the integrity and protection of information. Furthermore, the database (DB) also adapts to the dynamics of the company's operation, allowing the customization of assessments according to the specificities of each sector or function. In addition, it can be integrated with other corporate systems, facilitating the centralization and management of occupational health and safety information.

[35] The risk assessment mechanism (MR) uses the database to perform risk assessment continuously and in real time. When the specialist feeds the module (M) with information about the work environment, the system (S) consults the database (DB) to correlate this information with previously identified risks and applicable NR standards. The risk assessment mechanism (MR) adjusts the recommendations for corrective and preventive actions, ensuring that these measures are in full compliance with occupational safety and health requirements.

[36] The risk assessment mechanism (MR) also interacts with risk filters and the database (DB) to perform a dynamic and accurate analysis of risks in the inspected environment. When the Petition 870250004431, dated 20 / 01 / 2025, page 14 / 26 10 / 14 Specialist enters data on sectors or functions not previously registered, the module (M) directs this information to the database (BD) and, through a machine learning algorithm, adjusts future correlations, incorporating them for future analyses and recommendations. This continuous integration ensures that the system (S) learns and evolves over time, improving the accuracy of the assessments and recommendations made by the risk assessment mechanism (MR).

[37] As for the report generation tool (MG), it is responsible for automating the creation of regulatory documents for occupational safety and health management, such as the Risk Management Program (PGR), the Technical Report on Environmental Working Conditions (LTCAT) and the Occupational Health and Medical Control Program (PCMSO). This report generation tool (MG) is associated with the module (M), the risk assessment mechanism (MR) and the database (BD), allowing the creation of complete, accurate documents aligned with legal requirements.

[38] The report generator (MG) initialization starts when the safety specialist enters data into the module (M) about the work environment, so that the information is then transmitted to the risk assessment mechanism (MR), which performs the dynamic analysis of risks in the work environment, classifies the identified risks, validates the entered information and suggests corrective or preventive measures, based on the data stored in the database (DB), which is previously parameterized.

[39] With this validated and processed data, the report generator (MG) provides automatic creation of regulatory documents.

[40] In an example of the invention, in the case of the PGR (Risk Management Program), which is a set of documents and measures required by law for companies operating under the CLT regime, the Petition 870250004431, dated 20 / 01 / 2025, page 15 / 26 The 11 / 14 report generator (MG) processes information on identified risks and control measures suggested by the risk assessment mechanism (MR). The report generator (MG) structures this data according to the specific requirements of the PGR, ensuring that all corrective and preventive actions are aligned with the relevant NR standards.

[41] Similarly, for the LTCAT (Technical Report on Environmental Working Conditions), which analyzes working conditions and identifies the risks to which workers are exposed, the report generator (MG) uses data related to exposure to environmental agents. The report generator (MG) processes this information, generating a detailed technical report that describes the working conditions and recommendations for mitigating the identified risks, meeting legal requirements.

[42] Regarding the PCMSO (Occupational Health Medical Control Program), which is a set of mandatory actions and procedures to monitor and prevent risks to the health of employees, the report generator (MG) collects the data provided by the risk assessment mechanism (MR) on occupational health risks, such as exposure to toxic substances or biological agents. The PCMSO is required for all companies with employees governed by the CLT and, based on the information collected, generates a report that recommends periodic medical examinations and medical control measures to prevent damage to the health of employees, ensuring compliance with legal requirements.

[43] In order to provide flexibility, although the report generator (MG) is fully automated, it also provides the possibility of manual adjustments, allowing the specialist to add specific observations, adjustments and customizations according to the context of each operation. Petition 870250004431, dated 20 / 01 / 2025, page 16 / 26 12 / 14

[44] In one embodiment of the invention, the system (S) is integrated with other corporate occupational management systems, such as Occupational Health and Safety Management (OHS) platforms or ERP (Enterprise Resource Planning). After generating the reports, the report generator (MG) can automatically transfer the data to these systems, centralizing the information and facilitating risk management at a single point. In addition, the documents can be exported in standard formats, such as PDF or Excel, which facilitates the sharing and analysis of data with other stakeholders, such as auditors, managers or regulatory bodies.

[45] As for the method (MT), this is responsible for promoting the systematization and standardization of the data collection, analysis and management stages related to occupational risks, which were carried out by the system (S), enabling greater efficiency and accuracy in the process.

[46] Thus, the method (MT) comprises the following steps: a) A specialist, using a module (M), enters information about the profile of the company, area or activity being inspected; b) Using the data entered in the module (M), generate an integration load with a database (BD), allowing the automatic loading of predefined parameters; c) The specialist collects data related to the inspected environment, using interactive questionnaires and procedures specific to each type of risk; d) Correlate the data related to the inspected environment in step “c” with the load generated by the database (DB) in step “b”, using a risk assessment mechanism (RM); Petition 870250004431, dated 20 / 01 / 2025, page 17 / 26 13 / 14 e) Generate a set of automatic indications of corrective or preventive actions linked to regulatory standards, through the correlation established in step “d”; f) Generate a formal and legal report in accordance with current regulations, using a report generator (MG).

[47] In step “a”, the specialist enters, using module (M), information related to the company profile, the area or the activity inspected. In this way, a detailed characterization of the work environment context is provided, enabling future correlation for subsequent analyses and promoting a personalization of assessments based on the specificities of the inspected location.

[48] ​​Step “b” refers to the generation of an integration load with the database (DB), using the information entered in the previous step. This load enables the automatic loading of predefined parameters configured based on the characteristics of the sector and related activities.

[49] In step “c”, the specialist collects data directly in the inspected environment, using interactive questionnaires and specific procedures for each type of risk identified. This collection promotes the capture of accurate and relevant information, ensuring that all aspects of the environment are properly recorded for later evaluation.

[50] Step “d” deals with the correlation between the data collected in the previous step and the data load generated in the database (DB) in step “b”. This correlation is established by the risk assessment mechanism (MR), which analyzes the variables together to identify patterns and classify risks based on the established parameters. Petition 870250004431, dated 20 / 01 / 2025, page 18 / 26 14 / 14

[51] In step “e”, the risk assessment mechanism (MR) automatically generates a set of corrective or preventive action recommendations, directly linked to the applicable regulatory standards, which have been correlated to the inspected environment and the information loaded from the database (DB). In this way, a standardization of recommendations is established and it is ensured that the suggested actions are aligned with legal requirements, facilitating their implementation in the work environment.

[52] Finally, step “f” consists of generating a formal and legal report, in accordance with current regulations. This report is automatically generated by the report generator (MG) and presents the results of the assessment in a clear and structured manner, including the recommended actions, the identified risks and compliance with applicable regulations.

[53] Thus, it is noted that the system (S) together with the method (MT) solves the lack of standardization in the collection and analysis of information variables related to safety in a work environment. Furthermore, both the system (S) and the method (MT) eliminate the need for manual operations, reducing inconsistencies and human errors, while ensuring that the collected data is used to generate structured action plans and formal reports in accordance with current regulations. In this way, the system (S) and the method (MT) not only standardize processes, but also optimize decision-making and ensure the implementation of corrective and preventive measures in an efficient and legally appropriate manner.

[54] The man of technique will readily perceive, from the description and the represented drawings, various ways of carrying out the innovation without departing from the scope of the appended claims.

Claims

CLAIMS 1 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND ASSESSMENT IN WORK ENVIRONMENTS”, said system (S) being characterized by comprising a data collection module (M) and interaction with a safety specialist, equipped with means to automatically integrate the data collected in a work environment with predefined parameters and regulatory information contained in a database (DB); a risk assessment mechanism (MR), associated with the module (M) and a database (DB), which performs risk prioritization analyses, automatic generation of risk descriptions, identification of generating sources, severity classification and definition of control measures, through the correlation between the data entered in the module (M) and the content generated in the database (DB);A database (DB) for storing information related to operational risks, structured in a relational manner, with said database (DB) associating different types of data, such as risks, control measures, and Regulatory Standards (NRs), and associated with the risk assessment mechanism (MR); a report generator (MG) for automating the creation of regulatory documents associated with occupational safety and health management, with said report generator (MG) associated with the module (M), the risk assessment mechanism (MR), and the database (DB). 2 - “RISK MANAGEMENT METHOD, PREVENTION MEASURES AND EVALUATION IN WORK ENVIRONMENTS”, the method (MT) being characterized by comprising the following steps: a) A specialist, through a module (M), inserts information about the profile of the company, area or activity inspected; Petition 870250004431, dated 01 / 20 / 2025, page.20 / 26 2 / 4 b) Using the data entered in the module (M), generate an integration load with a database (BD), allowing the automatic loading of predefined parameters; c) The specialist collects data related to the inspected environment, using interactive questionnaires and specific procedures for each type of risk; d) Correlate the data related to the inspected environment in step “c” with the load generated by the database (BD) in step “b”, using a risk assessment mechanism (MR); e) Generate a set of automatic indications of corrective or preventive actions linked to regulatory standards, using the correlation established in step “d”; f) Generate a formal and legal report in accordance with current regulations, using a report generator (MG). 3 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND ASSESSMENT IN WORK ENVIRONMENTS”, according to claim 1, characterized by the module (M) being for recording initial information about a company, comprising a secure authentication system and providing lists and filters of previous assessments. 4 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND ASSESSMENT IN WORK ENVIRONMENTS”, according to claim 1, characterized by the risk assessment mechanism (MR) being an interaction with risk filters and the database (DB). 5 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND EVALUATION IN WORK ENVIRONMENTS”, according to claim 1, characterized by the mechanism (MR) being associated with interactive algorithms that suggest automatic descriptions for risks, generating sources, severity classifications and control measures, and corrective actions, based on the content accumulated in the database (DB). 6 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND EVALUATION IN WORK ENVIRONMENTS”, according to claim 4, characterized by the mechanism (MR) suggesting corrective actions based on customized checklists and the parameters of the database (DB). 7 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND EVALUATION IN WORK ENVIRONMENTS”, according to claim 4, characterized by the mechanism (MR) indicating the effectiveness of Personal Protective Equipment (PPEs) and Collective Protective Equipment (CPEs) used, linking all suggested actions to the applicable regulatory standards. 8 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND ASSESSMENT IN WORK ENVIRONMENTS”, according to claim 1, characterized by the database (DB) storing information about the company's sectors, positions and work schedules, and by the customization of risk assessments according to the profile of each operation. 9 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND ASSESSMENT IN WORK ENVIRONMENTS”, according to claim 1, characterized by the report generator (MG) being manually adjustable, and adding specific observations, adjustments and customizations according to the context of each operation. 10 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND ASSESSMENT IN WORK ENVIRONMENTS”, according to claim 1, characterized by the report generator (MG) being for generating reports of PGR, LTCAT, PCMSO. Petition 870250004431, dated 01 / 20 / 2025, pp. 22 / 26 4 / 4 11 - “RISK MANAGEMENT SYSTEM, PREVENTION MEASURES AND ASSESSMENT IN WORK ENVIRONMENTS” according to claim 1, characterized in that the system (S) is integrated with other corporate occupational management systems, such as Occupational Health and Safety Management (OHS) platforms or ERP (Enterprise Resource Planning).

Images