Personnel risk assessment method

Abstract

The invention provides a personnel risk assessment method. Risk information and space-time correction information corresponding to a to-be-assessed person are acquired. The risk information comprises behavior risk information of the to-be-assessed person, equipment risk information of peripheral equipment of the to-be-assessed person, environment risk information of an area where the to-be-assessed person is located, and process risk information of the area where the to-be-assessed person is located. The space-time correction information is determined based on the identity information of the to-be-assessed person, the historical illegal behavior information of the to-be-assessed person and the area risk information of the target area. And determining a risk score of the to-be-assessed person based on the risk information and the space-time correction information corresponding to the to-be-assessed person. And determining the risk level of the to-be-assessed person based on the risk score of the to-be-assessed person, so as to improve the accuracy of personnel risk assessment of the to-be-assessed person.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial safety intelligent management and control, and particularly relates to a method for personnel risk assessment. Background Art

[0002] In the field of industrial safety management and control, personnel risk assessment is one of the core means to prevent accidents and ensure production safety. With the development of industrial scenarios towards complexity and intelligence, higher requirements are put forward for the real-time performance, accuracy, and adaptability of personnel risk assessment for the personnel to be evaluated.

[0003] Currently, personnel risk assessment of the personnel to be evaluated often relies on the behavior of the personnel to be evaluated. However, due to the single dimension of the data source used for assessment, it is difficult to ensure the accuracy of the assessment results. Summary of the Invention

[0004] The present invention provides a method for personnel risk assessment, which can improve the accuracy of personnel risk assessment for the personnel to be evaluated.

[0005] The technical solution of the present invention for solving the above technical problems is as follows: In a first aspect, the present invention provides a method for personnel risk assessment. In this method, risk information corresponding to the personnel to be evaluated is obtained. The risk information corresponding to the personnel to be evaluated includes the behavior risk information of the personnel to be evaluated, the equipment risk information of the equipment around the personnel to be evaluated, the environmental risk information of the target area, and the process risk information of the target area. The equipment around the personnel to be evaluated is the equipment at a preset distance from the personnel to be evaluated. The target area is the area where the personnel to be evaluated is located among multiple working areas. Spatiotemporal correction information corresponding to the personnel to be evaluated is obtained. The spatiotemporal correction information is determined based on the identity information of the personnel to be evaluated, the historical violation behavior information of the personnel to be evaluated, and the regional risk information of the target area. The regional risk information is determined based on the fixed risk information of the corresponding working area, the accident information of the risk accidents that have occurred in the working area history, and the influence degree of the risk accidents that occur in real time in each working area among multiple working areas on the corresponding working area. Based on the risk information and spatiotemporal correction information corresponding to the personnel to be evaluated, the risk score of the personnel to be evaluated is determined. Based on the risk score of the personnel to be evaluated, the risk level of the personnel to be evaluated is determined.

[0006] Based on the above technical solutions, the present invention can also be improved as follows.

[0007] Further, the behavioral risk information is determined based on the wearing behavior information and action behavior information of the corresponding person to be evaluated. The equipment risk information is determined based on the operating status information, working parameter information, and equipment attribute information of the corresponding equipment. The environmental risk information is determined based on the environmental parameter information and the number of people gathered in the corresponding area. The process risk information is determined based on the overdue information of operations, overdue inspection tasks, and overdue hidden danger rectification in the target area.

[0008] Further, the wearing behavior information includes at least one of the helmet wearing data, work jacket wearing data, work pants wearing data, glove wearing data, and gas mask wearing data of the corresponding person to be evaluated. The action behavior information includes at least one of the smoking behavior data, mobile phone using behavior data, sleeping behavior data, climbing behavior data, and leaving post / straying from post behavior data of the corresponding person to be evaluated. The operating status information includes at least one of the working status data and non-working status data of the corresponding equipment. The working parameter information includes at least one of the pressure data, temperature data, liquid level data, vibration data, rotation speed data, and lubricating oil temperature data of the corresponding equipment. The equipment attribute information includes at least one of the equipment type data, production date data, planned scrapping date data, inspection date data of the most recent inspection, and inspection date data of the next inspection of the corresponding equipment. The environmental information includes at least one of the temperature data, humidity data, gas component data, and gas concentration data of the corresponding area. The overdue information of operations includes the data of overdue and unaccepted operations in the corresponding area. The overdue inspection task information includes the data of overdue and uninspected operations in the corresponding area. The overdue hidden danger rectification information includes the data of overdue and unrectified hidden dangers in the corresponding area.

[0009] Further, in the case where a risk accident occurs in any one of multiple operation areas, based on the accident information corresponding to the risk accident that occurs in any one of the operation areas, predict the degree of influence of the risk accident that occurs in any one of the operation areas on the target area. Based on the fixed risk information of the target area, the accident information of the risk accidents that have occurred in the target area in history, and the degree of influence of the risk accident that occurs in any one of the operation areas on the target area, determine the regional risk information of the target area.

[0010] Further, the accident information corresponding to the risk accident that occurs in any one area includes the gas component data and gas concentration data in any one area. Based on the gas component data and gas concentration data in any one area, and the gas flow direction between any one area and the target area, predict the degree of influence of the risk accident that occurs in the target area on the target area.

[0011] Further, based on the risk information corresponding to the person to be evaluated, determine the basic risk score corresponding to the person to be evaluated. Based on the spatio-temporal correction information corresponding to the person to be evaluated, determine the spatio-temporal correction coefficient corresponding to the person to be evaluated. Based on the basic risk score and the spatio-temporal correction coefficient corresponding to the person to be evaluated, determine the risk score of the person to be evaluated.

[0012] Further, the basic risk score corresponding to the person to be evaluated is determined based on the behavioral risk score, equipment risk score, environmental risk score, process risk score, weights of the behavioral risk score, weights of the equipment risk score, weights of the environmental risk score, and weights of the process risk score corresponding to the person to be evaluated. The behavioral risk score corresponding to the person to be evaluated is determined based on the behavioral risk information of the person to be evaluated. The equipment risk score corresponding to the person to be evaluated is determined based on the equipment risk information of the equipment around the person to be evaluated. The environmental risk score corresponding to the person to be evaluated is determined based on the environmental risk information of the target area. The process risk score corresponding to the person to be evaluated is determined based on the process risk information of the area where the person to be evaluated is located.

[0013] Further, based on the task attributes of the task to be performed by the person to be evaluated in the target area, determine the weights of the behavioral risk score, equipment risk score, environmental risk score, and process risk score corresponding to the person to be evaluated.

[0014] Further, based on the risk level of the person to be evaluated, prompt the warning information corresponding to the risk level of the person to be evaluated.

[0015] Further, based on the risk level of the person to be evaluated, adjust the risk level of the associated person. Among them, the associated person is located in the target area and is different from the person to be evaluated.

[0016] The beneficial effects of the present invention are: The beneficial effects of the present invention are: incorporating the behavior of the person to be evaluated, surrounding equipment, surrounding environment, integrity of the process within the area, and spatio-temporal context (identity of the person to be evaluated, historical violation situations of the person to be evaluated, accidents in the operation area itself and its surroundings) into a unified evaluation framework to evaluate the risk of the person to be evaluated from multiple dimensions, achieving precise safety warning and control of "one person, one policy". Compared with the traditional method of evaluating the risk of the person to be evaluated based on a single dimension, it can improve the accuracy of personnel risk assessment.

[0017] Second aspect, the present invention provides a personnel risk assessment system, including a risk information acquisition module, a spatio-temporal correction information acquisition module, a risk score determination module, and a risk level determination module. Among them, the risk information acquisition module is used to acquire the risk information corresponding to the person to be evaluated. The risk information corresponding to the person to be evaluated includes the behavioral risk information of the person to be evaluated, the equipment risk information of the equipment around the person to be evaluated, the environmental risk information of the target area, and the process risk information of the target area. The equipment around the person to be evaluated is the equipment at a preset distance from the person to be evaluated. The target area is the area where the person to be evaluated is located among multiple working areas. The spatio-temporal correction information acquisition module is used to acquire the spatio-temporal correction information corresponding to the person to be evaluated. The spatio-temporal correction information is determined based on the identity information of the person to be evaluated, the historical violation behavior information of the person to be evaluated, and the regional risk information of the target area. The regional risk information is determined based on the fixed risk information of the corresponding working area, the accident information of the risk accidents that have occurred in the working area history, and the influence degree of the risk accidents that occur in real time in each working area among multiple working areas on the corresponding working area. The risk score determination module is used to determine the risk score of the person to be evaluated based on the risk information and spatio-temporal correction information corresponding to the person to be evaluated. The risk level determination module is used to determine the risk level of the person to be evaluated based on the risk score of the person to be evaluated.

[0018] Third aspect, the present invention provides an electronic device, including: a memory, one or more processors; the memory and the processors are coupled; wherein, computer program code is stored in the memory, and the computer program code includes computer instructions. When the computer instructions are executed by the processors, the electronic device executes the personnel risk assessment method described in any item of the first aspect above.

[0019] Fourth aspect, there is provided a computer-readable storage medium, including computer instructions. When the computer instructions are run on an electronic device, the electronic device executes the personnel risk assessment method described in any item of the first aspect above.

[0020] Fifth aspect, there is provided a computer program product. When the computer program product runs on a computer, the computer executes the personnel risk assessment method described in any item of the first aspect above.

[0021] It can be understood that the beneficial effects that can be achieved by the personnel risk assessment system in the second aspect, the electronic device described in the third aspect, the computer-readable storage medium described in the fourth aspect, and the computer program product described in the fifth aspect above can refer to the beneficial effects in the first aspect and any of its possible design manners, which will not be elaborated here. Description of the Drawings

[0022] Figure 1 It is a schematic flowchart of a personnel risk assessment method provided by the present invention; Figure 2 A schematic diagram of an operation area provided by the present invention; Figure 3 A schematic diagram of a personnel risk assessment system provided by the present invention. Detailed implementation manners

[0023] Next, the technical solutions in the embodiments of the present application will be described with reference to the accompanying drawings in the embodiments of the present application. Among them, in the description of the present application, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship. For example, A / B may represent A or B; "and / or" in the present application is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. These three situations, where A and B can be singular or plural. Also, in the description of the present application, unless otherwise specified, "a plurality of" means two or more than two. "At least one (item)" or its similar expression below refers to any combination of these items, including any combination of a single item (item) or a plural item (item). For example, at least one (item) of a, b, or c may represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, c can be single or multiple. In addition, in order to clearly describe the technical solutions in the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the terms "first", "second", etc. do not limit the quantity and execution order, and the terms "first", "second", etc. do not necessarily limit to be different. At the same time, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions.

[0024] In the field of industrial safety control, personnel risk assessment is one of the core means to prevent accidents and ensure production safety. With the development of industrial scenarios towards complexity and intelligence, higher requirements are put forward for the real-time performance, accuracy and adaptability of personnel risk assessment. However, the existing technologies still face many challenges in practical applications and are difficult to fully meet the safety management needs in a dynamic environment.

[0025] Current mainstream personnel risk assessment methods mostly make risk judgments based on a single data source or isolated systems. For example, a personnel risk assessment system only analyzes personnel behavior through video surveillance (such as whether safety equipment is worn or there are violation actions) to assess personnel risk. Although such methods can identify some obvious risks, they ignore the potential associations between different risk factors. For example, when a person enters an abnormal equipment area without taking protective measures, the personnel risk assessment system may only trigger an equipment alarm and cannot assess the superimposed risk of personnel behavior and equipment status, resulting in one-sided early warning information.

[0026] Moreover, existing personnel risk assessment rules generally rely on static thresholds or preset conditions and lack the ability to dynamically adjust. For example, an electronic fence system usually triggers an alarm based on a fixed geographical boundary but cannot adjust the risk judgment criteria according to personnel identity (such as new employees, visitors) or task attributes (such as special operations, daily inspections). This rigid rule design is difficult to adapt to the industrial environment with strong personnel mobility and changing risk scenarios, and is prone to false alarms or missed alarms.

[0027] In addition, although most enterprises have achieved data interconnection of video surveillance, equipment monitoring, environmental sensors, and process management systems, personnel risk assessment still relies on a single dimension and fails to fully integrate multi-dimensional data to build a comprehensive assessment model, resulting in a single dimension of risk analysis and insufficient early warning accuracy. Taking environmental monitoring as an example, the data collected by gas concentration sensors is often independent of personnel location information, making it impossible to accurately judge the exposure risk of specific individuals in a harmful environment. Similarly, the disconnection between process compliance data (such as the timeliness of work permits) and real-time behavior analysis makes it difficult for the system to identify the combined risk of "overdue operations" and "violation operations".

[0028] Furthermore, there are also obvious shortcomings in the utilization of historical data by existing personnel risk assessment methods. The behavior patterns of individuals with frequent violations or high risks are not effectively incorporated into the assessment model, resulting in a lack of differential management in the classification of personnel risk levels. For example, individuals with multiple violations and first-time violators may be treated equally, and the priority of risk early warning cannot be optimized through historical behavior data. At the same time, the lack of refinement in local environment perception (such as the failure to distinguish the differences between the micro-environment and the global environment where personnel are located) further reduces the accuracy of personnel risk assessment.

[0029] In summary, there are significant deficiencies in existing technologies in aspects such as data integration, dynamic rule design, data collaboration, and historical data analysis, making it difficult to meet the real-time, accurate, and personalized safety control requirements in complex industrial scenarios. Therefore, there is an urgent need for a personnel risk assessment method that can overcome the above problems to improve the comprehensiveness and accuracy of personnel risk assessment.

[0030] Regarding the above problems, see Figure 1, the present invention provides a method for personnel risk assessment, including steps S101 - S104: S101: Obtain the risk information corresponding to the personnel to be evaluated.

[0031] Among them, the risk information corresponding to the personnel to be evaluated includes the behavioral risk information of the personnel to be evaluated, the equipment risk information of the equipment around the personnel to be evaluated, the environmental risk information of the target area, and the process risk information of each task in the area where the personnel to be evaluated is located. The equipment around the personnel to be evaluated is the equipment at a preset distance (for example, the preset distance is 5 meters) from the personnel to be evaluated. The target area is the area where the personnel to be evaluated is located among multiple working areas.

[0032] In some embodiments, the behavioral risk information is determined based on the wearing behavior information and action behavior information of the corresponding personnel to be evaluated. The equipment risk information is determined based on the operating status information, working parameter information, and equipment attribute information of the corresponding equipment. The environmental risk information is determined based on the environmental parameter information and the number of people gathering information in the corresponding area. The process risk information is determined based on the overdue information of operations, overdue information of inspection tasks, and overdue information of hidden danger rectification in the target area.

[0033] In some embodiments, the wearing behavior information includes at least one of the safety helmet wearing data, work shirt wearing data, work pants wearing data, glove wearing data, and gas mask wearing data of the corresponding personnel to be evaluated. The action behavior information includes at least one of the smoking behavior data, mobile phone using behavior data, sleeping behavior data, climbing behavior data, and leaving post or changing post behavior data (out-of-bounds behavior data) of the corresponding personnel to be evaluated. The operating status information includes at least one of the working status data and non-working status data of the corresponding equipment. The working parameter information includes at least one of the pressure data, temperature data, liquid level data, vibration data, rotation speed data, and lubricating oil temperature data of the corresponding equipment. The equipment attribute information includes at least one of the equipment type data, production date data, planned scrapping date data, inspection date data of the most recent inspection, and inspection date data of the next inspection of the corresponding equipment. The environmental information includes at least one of the temperature data, humidity data, gas component data, and gas concentration data of the corresponding area. The overdue information of operations includes the data of overdue and unaccepted operations in the corresponding area. The overdue information of inspection tasks includes the data of overdue and uninspected operations in the corresponding area. The overdue information of hidden danger rectification includes the data of overdue and unrectified hidden dangers in the corresponding area.

[0034] In some embodiments, the behavioral risk information of the person to be evaluated can be obtained based on video surveillance. For example, multiple cameras can be set in the area where the person to be evaluated is working, and the cameras can collect the image information of the person to be evaluated to determine the behavioral risk information of the person to be evaluated. Among them, the multiple cameras can include wide-angle cameras and zoom cameras to avoid the problem that it is difficult to collect the image information of the person to be evaluated due to obstruction by obstacles.

[0035] In some embodiments, thermal imaging technology can also be used to assist video surveillance to obtain the behavioral risk information of the person to be evaluated. For example, a thermal imaging monitor can be set in the area where the person to be evaluated is working. The thermal imaging monitor can identify the behavioral risk information of the person to be evaluated through body temperature characteristics. Then, the behavioral risk information of the person to be evaluated obtained by the thermal imaging monitor and the behavioral risk information of the person to be evaluated obtained by the camera can be combined and analyzed to determine the behavioral risk information of the person to be evaluated, which can improve the accuracy of obtaining the behavioral risk information of the person to be evaluated.

[0036] In some embodiments, the position of the person to be evaluated can be determined first (for example, based on a personnel positioning system to confirm the position of the person to be evaluated). Then, based on the spatial topology data of the equipment, the peripheral equipment of the person to be evaluated can be determined, and the equipment risk information of the peripheral equipment of the person to be evaluated can be obtained. Among them, the spatial topology data of the equipment can be determined based on the CAD drawings of the installed equipment and the 3D modeling of the area where the equipment is located.

[0037] In some embodiments, multiple sensors (such as temperature sensors, humidity sensors, gas composition detectors, gas concentration detectors, etc.) can be set in each working area. Based on the data collected by each sensor in the target area, the environmental parameter information included in the environmental risk information corresponding to the person to be evaluated can be obtained. The number of people gathering information included in the environmental risk information corresponding to the person to be evaluated can be obtained based on the camera and / or the personnel positioning system and / or thermal imaging technology. The number of people gathering information represents the total number of people included in the corresponding area.

[0038] In some embodiments, the work ticket data (the acceptance status of the work ticket within the time limit) of the work in the area can be obtained. Based on the work ticket data of the work in the area, the work overdue information of the work in the area can be determined. The overdue information of the inspection tasks of the work in the area can be determined based on the inspection data of the work in the area (characterizing the situation of the dual prevention inspection tasks and intelligent inspection tasks of the work in the area within the time limit). The overdue information of the hidden danger rectification in the area can be determined based on the hidden danger rectification data in the area (the rectification situation of general hidden dangers and major hidden dangers in the area within the time limit).

[0039] It should be noted that the work permit may include operations that may involve fire, entering confined spaces, blind plate plugging, height operations, lifting, temporary power use, earthwork, circuit breaking, etc. in the production and operation process of hazardous chemical enterprises, and may cause harm or damage to the operator himself, others, and surrounding buildings, structures, equipment and facilities.

[0040] Double prevention inspection refers to risk classification control inspection and hidden danger investigation and management inspection. The inspection task cycle can be set according to the possibility of accidents at each risk point and the severity of the consequences after the accident. The cycle can be 2 hours, 8 hours or 12 hours, etc. For hidden dangers found during the inspection, a complete closed-loop management process can be set to ensure that the hidden dangers are effectively controlled.

[0041] Smart inspection refers to a method of conducting efficient inspections by using smart devices such as mobile terminals, through pre-made inspection tasks, inspection routes, inspection lists, etc. The purpose is to confirm the presence of personnel and inspection items during the inspection process through information and intelligent means, and to effectively assist and manage the entire inspection process.

[0042] Smart inspection focuses on data collection and early warning. The following three types of data are mainly collected: one is the operating status of equipment and facilities (such as equipment vibration, temperature, pressure, etc.), the second is equipment and facility failure (alarm, shutdown, etc.), and the third is various safety production hazards. Smart inspection collects the above three types of data and transmits them back to the background, and takes the next step for early warning or hidden dangers. Among them, the third type of data is related to the inspection tasks of the dual prevention mechanism. Therefore, smart inspection is an important means to implement the dual prevention mechanism. When the system is built, the smart inspection system and the dual prevention mechanism system will be connected through the data interface to achieve closed-loop management of the hidden dangers found by the smart inspection.

[0043] General hidden dangers refer to pre-specified hidden dangers with minor impacts on personal safety, property safety or the environment. The degree of harm and difficulty of rectification of such hidden dangers are relatively small. For example, there are some minor defects in the equipment, but they do not affect its normal operation and safe use, such as the scale line falling off, the circulating water pump lacking oil, etc.; employees violate safety operating procedures or operating standards, such as not wearing labor protection equipment as required, operating mechanical equipment in violation of regulations, etc.

[0044] Major hidden dangers refer to those that are pre-specified and may lead to serious consequences such as serious personal injury, serious property loss or serious environmental pollution. The degree of harm and difficulty in rectification of such hidden dangers are relatively high. For example: special personnel to be assessed are not certified to work; full-pressure liquefied hydrocarbon storage tanks are not equipped with water injection measures according to corresponding standards; anti-static, fire prevention, and lightning protection equipment and facilities are missing or ineffective, etc.

[0045] S102: Obtaining the time and space correction information corresponding to the person to be evaluated.

[0046] Among them, the spatio-temporal correction information is determined based on the identity information of the person to be evaluated, the historical violation information of the person to be evaluated, and the regional risk information of the target area. The regional risk information is determined based on the fixed risk information of the corresponding operation area, the accident information of the risk accidents that have occurred in the operation area history, and the accident information of the risk accidents that occur in real time in each operation area among multiple operation areas.

[0047] In some embodiments, multiple identity categories can be preset, and each person to be evaluated for risk assessment is associated with a corresponding identity category. Based on the identity category of the corresponding person to be evaluated, the identity information of the person to be evaluated can be determined. For example, the identity categories of the person to be evaluated can include employees within the enterprise, visitors outside the enterprise, and contractor personnel. Among them, the employees within the enterprise can further include senior employees within the enterprise (employees within the enterprise whose employment time exceeds the preset time) and new employees within the enterprise (employees within the enterprise whose employment time does not exceed the preset time). Visitors outside the enterprise can include initial free visitors (visitors outside the enterprise who are not contractors and have not received safety training) and experienced free visitors (visitors outside the enterprise who are not contractors and have not received safety training). Contractors can include contractors at all levels.

[0048] In some embodiments, the historical violation information of the person to be evaluated can be determined based on the number of violations of the person to be evaluated within the preset period.

[0049] In some embodiments, when a risk accident occurs in any one of the multiple operation areas is detected, based on the accident information corresponding to the risk accident that occurs in any one of the operation areas, the impact degree of the risk accident that occurs in any one of the operation areas on the target area is predicted. Based on the fixed risk information of the target area, the accident information of the risk accidents that have occurred in the target area history, and the impact degree of the risk accident that occurs in any one of the operation areas on the target area, the regional risk information of the target area is determined.

[0050] In some embodiments, the accident information corresponding to the risk accident that occurs in any area includes the gas component data and gas concentration data in any area. Based on the gas component data and gas concentration data in any area, and the gas flow direction between any area and the target area, the impact degree of the risk accident that occurs in any one of the operation areas on the target area is predicted.

[0051] For example, see Figure 2, the work areas include work area 201, work area 202, work area 203, work area 204, work area 205, and work area 206. When a risk accident occurs in work area 203, the hazardous gases (e.g., flammable gases, explosive gases, toxic gases, etc.) generated in work area 203 may spread to other work areas (e.g., work area 201, work area 202, work area 204, work area 205, and work area 206). Therefore, when conducting a risk assessment on the personnel to be evaluated in work area 202, the impact of the risk accident that occurred in work area 203 on the personnel to be evaluated in work area 202 needs to be considered. That is, based on the gas composition data and gas concentration data in work area 203, as well as the gas flow direction between work area 203 and work area 202, the degree of impact that may be caused to work area 202 due to the risk accident that occurred in work area 203 can be predicted. Based on the fixed risk information of work area 202, the accident information of historical risk accidents that occurred, and the degree of impact of the risk accident that occurred in work area 203, the regional risk information of work area 202 can be determined.

[0052] In some embodiments, based on a simplified computational fluid dynamics (CFD) model, the degree of impact on a target area caused by a sudden accident occurring in any area can be predicted every certain period (e.g., 10 seconds).

[0053] S103: Determine the risk score of the personnel to be evaluated based on the risk information and spatio-temporal correction information corresponding to the personnel to be evaluated.

[0054] In some embodiments, the basic risk score corresponding to the personnel to be evaluated can be determined based on the risk information corresponding to the personnel to be evaluated. The spatio-temporal correction coefficient corresponding to the personnel to be evaluated can be determined based on the spatio-temporal correction information corresponding to the personnel to be evaluated. The risk score of the personnel to be evaluated can be determined based on the basic risk score and the spatio-temporal correction coefficient corresponding to the personnel to be evaluated.

[0055] In some embodiments, the basic risk score corresponding to the personnel to be evaluated is determined based on the behavior risk score, equipment risk score, environmental risk score, process risk score, weights of the behavior risk score, weights of the equipment risk score, weights of the environmental risk score, and weights of the process risk score corresponding to the personnel to be evaluated. The behavior risk score corresponding to the personnel to be evaluated is determined based on the behavior risk information of the personnel to be evaluated. The equipment risk score corresponding to the personnel to be evaluated is determined based on the equipment risk information of the equipment around the personnel to be evaluated. The environmental risk score corresponding to the personnel to be evaluated is determined based on the environmental risk information of the target area. The process risk score corresponding to the personnel to be evaluated is determined based on the process risk information of the area where the personnel to be evaluated is located.

[0056] In some embodiments, the behavior risk score R of the personnel to be evaluated 行为 can be expressed as: R 行为 = (max(Single - behavior risk score)+(Σ(Other behavior risk scores)) / n)×Coupling coefficient.

[0057] Among them, for each single - risk behavior corresponding to the person to be evaluated (for example, risk behaviors such as the person to be evaluated not wearing a safety helmet, not wearing a work jacket, not wearing work pants, not wearing gloves, not wearing a gas mask, smoking, using a mobile phone, sleeping, climbing, leaving the target area, etc.), there are corresponding different behavior risk scores. max(Single - behavior risk score) is the highest behavior risk score among the behavior risk scores corresponding to the risk behaviors performed by the person to be evaluated. The risk behavior corresponding to the highest behavior risk score can also be called the first - risk behavior. The risk behaviors other than the first - risk behavior among the risk behaviors performed by the person to be evaluated can all be called the second - risk behaviors. Σ(Other behavior risk scores) can represent the sum of the behavior risk scores corresponding to each second - risk behavior performed by the person to be evaluated. n represents the total number of second - risk behaviors performed by the person to be evaluated. The coupling coefficient is a preset value, and those skilled in the art can set the specific value corresponding to the coupling coefficient based on the scenario and requirements (for example, setting the coupling coefficient to 1.5).

[0058] Exemplarily, the risk behaviors corresponding to the person to be evaluated are not wearing a safety helmet (corresponding behavior risk score is 0.5), not wearing gloves (corresponding behavior risk score is 0.2), and climbing (corresponding behavior risk score is 0.3), and the coupling coefficient is 1.5. Then the behavior risk score corresponding to the person to be evaluated is: R 行为 =(0.5+(0.2 + 0.3) / 2)×1.5 = 1.125.

[0059] Again, for example, if the only risk behavior corresponding to the person to be evaluated is not wearing a safety helmet (corresponding behavior risk score is 0.5), then the behavior risk score corresponding to the person to be evaluated is: R 行为 =0.5.

[0060] In some embodiments, the equipment risk score R corresponding to the person to be evaluated 设备 can be expressed as: R 设备 =Σ((Equipment anomaly index)×Equipment - task correlation index); Equipment anomaly index = Σ(Equipment parameter deviation rate×Equipment hazard level×Spatial attenuation factor); Among them, the equipment parameter deviation rate represents the deviation degree of the actual value of any parameter value corresponding to the equipment relative to the standard value corresponding to the any parameter value; different equipment corresponds to different equipment risk levels, and those skilled in the art can set the equipment risk levels of each equipment based on the actual scenario and the attributes of the equipment. The space attenuation factor is determined based on the distance between the equipment and the person to be evaluated; the farther the distance between the equipment and the person to be evaluated, the smaller the space attenuation factor (for example, for every 1-meter increase in the distance between the equipment and the person to be evaluated, the space attenuation factor decreases by 20%). The equipment-task correlation index refers to the correlation between the corresponding equipment and the task to be executed (those skilled in the art can preset the correlation between each equipment and each task based on various operation scenarios and requirements).

[0061] Exemplarily, the task to be executed by the person to be evaluated is Task A, and the equipment around the person to be evaluated includes Equipment 1 and Equipment 2; the distance between Equipment 1 and the person to be evaluated is 1 meter, and the risk level is 2; the distance between Equipment 2 and the person to be evaluated is 2 meters, and the risk level is 3; based on the distance between Equipment 1 and the person to be evaluated, the space attenuation factor corresponding to Equipment 1 can be determined (for example, the space attenuation factor is 0.8), and based on the distance between Equipment 2 and the person to be evaluated, the space attenuation factor corresponding to Equipment 2 can be determined (for example, the space attenuation factor is 0.6). The equipment parameters corresponding to Equipment 1 include temperature parameter and rotation speed parameter; the equipment parameter deviation rate corresponding to the temperature parameter of Equipment 1 is 20%, and the equipment parameter deviation rate corresponding to the rotation speed parameter of Equipment 1 is 10%. The equipment parameters corresponding to Equipment 2 include temperature parameter and liquid level parameter; the equipment parameter deviation rate corresponding to the temperature parameter of Equipment 2 is 30%, and the equipment parameter deviation rate corresponding to the liquid level parameter of Equipment 2 is 20%. Then the correlation index of Equipment 1 relative to the task to be executed by the person to be evaluated is 0.5, and the correlation index of Equipment 2 relative to the task to be executed by the person to be evaluated is 0.7. Then the equipment anomaly index of Equipment 1 (which can also be referred to as Equipment Anomaly Index 1 in the embodiments of the present application) is: Equipment Anomaly Index 1 = Σ((0.2×2×0.8)+(0.1×2×0.8)) = 0.48; The equipment anomaly index of Equipment 2 (which can also be referred to as Equipment Anomaly Index 2 in the embodiments of the present application) is: Equipment Anomaly Index 2 = Σ((0.3×3×0.6)+(0.2×3×0.6)) = 0.9; The equipment risk score R corresponding to the person to be evaluated 设备 is: R 设备 = ((0.48×0.5)+(0.9×0.7)) = 0.87.

[0062] In some embodiments, the environmental risk score R corresponding to the person to be evaluated环境 It can be expressed as: R 环境 = max (gas concentration / gas threshold, temperature deviation, humidity deviation) × exposure time coefficient + crowd gathering risk; Exposure time coefficient = y1 + e1 × t, t ≤ x; Exposure time coefficient = y2 + e2 × (t - x), when t > x.

[0063] Crowd gathering risk = (number of people in the area in real time / safety capacity of the area) 2 × residence time of the personnel to be evaluated × area risk level; Among them, the gas concentration refers to the gas concentration corresponding to the target gas. The target gas is volatile organic compounds (VOC gas). Those skilled in the art can set the type of the target gas based on the actual scenario and requirements (for example, the target gas is hydrogen sulfide), and the embodiments of the present application do not make limitations. The gas threshold is the preset threshold corresponding to the target gas. The temperature deviation is the deviation of the temperature in the corresponding area from the preset standard temperature corresponding to the area; the humidity deviation is the deviation of the humidity in the corresponding area from the preset standard humidity corresponding to the area; y1 is the first initial time coefficient; y2 is the second initial time coefficient; e1 is the first time weight coefficient; e2 is the second time weight coefficient; x is the time threshold. The safety capacity of the area is the maximum number of people that the area can safely accommodate. The longest residence time of the personnel represents the duration of the person with the longest residence time staying in the corresponding area in the corresponding area. Different areas correspond to different area risk levels, and t represents the residence duration of the personnel to be evaluated in the target area.

[0064] It should be noted that those skilled in the art can set the values of y1, y2, e1, e2, x, as well as the values corresponding to the safety capacity of the area and the values corresponding to the area risk level based on the actual scenario and requirements, and the embodiments of the present application do not make limitations.

[0065] Exemplarily, the ratio of the gas concentration of the target gas to the gas threshold in the target area (the area where the personnel to be evaluated are located) is 12%, the temperature deviation is 20%, the humidity deviation is 35%, y1 = 1, y2 = 2, e1 = 0.1, e2 = 0.05, x = 0.4, the value corresponding to the safety capacity of the area is 3, there are a total of 4 personnel to be evaluated in the target area, the residence durations of these 4 personnel to be evaluated in the target area are 0.5 hours, 0.2 hours, 0.6 hours, and 0.8 hours respectively, and the value of the area risk level corresponding to the target area is 2. Then, for the personnel to be evaluated with a residence duration of 0.5 hours, the environmental risk score R 环境 is: R 环境= max(0.12, 0.2, 0.35) × (2 + 0.05 × (0.5 - 0.4)) + ((4 / 3) 2 × 0.5 × 2) = 8.95。

[0066] In some embodiments, the process risk score R corresponding to the person to be evaluated 流程 can be expressed as: R 流程 = 1 - (1 - W 作业票超期未验收 ) × (1 - W 双重预防逾期未巡检 ) × (1 - W 智能巡检逾期未巡检 ) × (1 - W 一般隐患超期未整改 ) × (1 - W 重大隐患超期未整改 ); W i (t) = W i0 + 0.6 × (1 - e -逾期时长 / T基准i ) + 0.2 × (1 - e -λ×7天内同类型问题复发次数 ); Among them, W i0 represents the basic process weight corresponding to event i, which takes different values according to different events and is a value between 0 and 0.2. i represents any one of the following: the acceptance of operations in the area has not been completed, the overdue double prevention inspection task, the overdue intelligent inspection task, the rectification of general hidden dangers in the area has not been carried out within the preset period, and the rectification of major hidden dangers in the area has not been carried out within the preset period; T 基准i represents the preset processing duration of the task; λ is the penalty factor; W 作业票超期未验收 represents the penalty score corresponding to the acceptance of the operation to be executed not being completed within the preset period, W 双重预防逾期未巡检 represents the penalty score corresponding to the non - implementation of double prevention inspections in the area within the preset period, W 智能巡检逾期未巡检 represents the penalty score corresponding to the non - implementation of intelligent inspections in the area within the preset period, W 一般隐患超期未整改 represents the penalty score corresponding to the non - rectification of general hidden dangers in the area within the preset period, W 重大隐患超期未整改 represents the penalty score corresponding to the non - rectification of major hidden dangers in the area within the preset period.

[0067] Exemplarily, based on the overdue information of operations within the area, the overdue information of inspection tasks, and the overdue information of potential hazard rectification, it is determined that the operation acceptance within the area has not been completed overdue (not within the preset period), the overdue acceptance duration is 0.6 hours, and furthermore, intelligent inspection has not been carried out within the preset period, the overdue inspection duration is 0.2 hours. The basic process weight corresponding to the operation within the area not being completed for acceptance within the preset period is 0.1, and the basic process weight corresponding to the operation within the area not being intelligently inspected within the preset period is 0.2, λ = 0.2. The time reference value corresponding to the operation within the area not being completed for acceptance within the preset period is 2 hours, and the time reference value corresponding to the operation within the area not being intelligently inspected within the preset period is 1 hour. The number of times the operation within the area has not been completed for acceptance within the preset period within 7 days is 2 times, and the number of times the operation within the area has not been intelligently inspected within the preset period within 7 days is 1 time.

[0068] Then, when i is the case where the operation within the area has not been completed for acceptance within the preset period, W i (t) is: W i (t) = 0.1 + 0.6×(1 - e -0.6 / 2 ) + 0.2×(1 - e -0.2×2 ) = 0.32; Then, when i is the case where intelligent inspection has not been carried out within the preset period, W i (t) is: W i (t) = 0.2 + 0.6×(1 - e -0.2 / 1 ) + 0.2×(1 - e -0.2×1 ) = 0.34; The process risk score R corresponding to the person to be evaluated 流程 can be expressed as: R 流程 = 1 - (1 - 0.32)×(1 - 0.34) = 0.55.

[0069] In some embodiments, based on the task attributes of the tasks to be executed by the person to be evaluated in the target area, the weights of the behavioral risk score, the equipment risk score, the environmental risk score, and the process risk score corresponding to the person to be evaluated can be determined.

[0070] Exemplarily, for an operator whose task is to climb stairs to turn a valve, then the weights of the behavioral risk (whether to wear a safety helmet) and the equipment risk (whether the valve is old and in disrepair, whether the valve is damaged and leaking) will increase accordingly; for the inspection process of a safety supervisor's task, since it does not involve specific on-site operations, the weight of the environmental risk (temperature and humidity, whether there are toxic substances in the environment) will increase accordingly.

[0071] Exemplarily, it can be determined that the weight of the behavior risk score corresponding to the person to be evaluated is 0.2, the weight of the equipment risk score is 0.2, the weight of the environmental risk score is 0.3, and the weight of the process risk score is 0.3.

[0072] In some embodiments, based on the reinforcement learning model, the weight allocation strategy can be dynamically adjusted according to the accident information of risk accidents that have occurred in the target area in history (for example, if there are frequent leaks in a certain area, the weight of the environmental risk score is increased), and the single adjustment range ≤ ±10%, and the cumulative adjustment of the same parameter within the same day ≤ ±30%.

[0073] In some embodiments, the spatio-temporal correction coefficient C corresponding to the person to be evaluated 时空 is: C 时空 = min(pre-set standard value, C 身份 ×(1 + C 区域 + C 违规 )); C 区域= C 初始 + C 突发风险 ; C 违规 = the number of violations of the person to be evaluated in the past 7 days × 0.1; wherein, C 身份 is determined based on the identity information of the person to be evaluated and is used to characterize the identity category of the person to be evaluated (the value of C 身份 is different for different identity categories of the person to be evaluated). C 初始 represents the initial risk coefficient corresponding to the target area, C 突发风险 represents the influence coefficient of a sudden accident in any area on the target area, and after the sudden accident in any area is lifted, C 突发风险 decays by 20% per hour until it becomes 0.

[0074] Exemplarily, the pre-set standard value is 3. In the case where the person to be evaluated is an old employee within the enterprise, the value of C 身份 is 1, the initial risk coefficient corresponding to the target area is 0.2, the sudden risk coefficient of the target area is 0.6, and the risk accident has not been lifted. If the number of violations of the person to be evaluated in the past 7 days is 3, then the spatio-temporal correction coefficient C 时空 corresponding to the person to be evaluated is: C 时空 = min(3, 1×(1 + 0.8 + 0.3)) = 3; It should be noted that the reason for the pre-set standard value of 3 is that usually the value of C 时空 will not exceed 3, and in this case, the value of C 时空 can effectively trigger the change of the overall risk value; in extreme cases, C 时空The value will exceed 3.0, set C 时空 The threshold of 3.0 is to avoid the spatio-temporal correction coefficient being too large, and a single-point risk event leading to the loss of control of the overall assessment. If the preset standard value is set too small, the factors of the spatio-temporal context cannot be effectively transmitted to the overall risk assessment.

[0075] In some embodiments, the basic risk score Risk_Score corresponding to the person to be evaluated can be expressed as: Risk_Score =(α×R 行为 +β×R 设备 +γ×R 环境 +δ×R 流程 ) * C 时空 ; Wherein, α represents the weight of the behavioral risk score, β represents the weight of the equipment risk score, γ represents the weight of the environmental risk score, and δ represents the weight of the process risk score.

[0076] Exemplarily, α = 0.2, β = 0.2, γ = 0.3, δ = 0.3, R 行为 = 1.125, R 设备 = 0.87, R 环境 = 8.95, R 流程 = 0.55, C 时空 = 3, then the basic risk score Risk_Score corresponding to the person to be evaluated is: Risk_Score=(0.2×1.125 + 0.2×0.87 + 0.3×8.95 + 0.3×0.55) × 3 = 9.747; S104: Determine the risk level of the person to be evaluated based on the risk score of the person to be evaluated.

[0077] In some embodiments, multiple risk levels can be preset, and different risk levels are set corresponding to different risk score intervals. Based on the risk score interval in which the risk score of the person to be evaluated is located, determine the risk level of the person to be evaluated.

[0078] For example, the risk levels can be set to include level 1, level 2, and level 3. Among them, the risk score interval corresponding to level 1 is greater than or equal to 2, the risk score interval corresponding to level 2 is greater than or equal to 1.2 and less than 2, and the risk score interval corresponding to level 3 is less than 1.2. If the basic risk score corresponding to the person to be evaluated is 14.781, then the risk level corresponding to the person to be evaluated is level 1.

[0079] In some embodiments, based on the risk level of the person to be evaluated, warning information corresponding to the risk level of the person to be evaluated can be prompted.

[0080] Exemplarily, referring to Table 1 below, different risk levels correspond to different early warning messages.

[0081]

[0082] In some embodiments, the risk level of an associated person can be adjusted based on the risk level of the person to be evaluated. Among them, the associated person is located in the target area and is different from the person to be evaluated.

[0083] Exemplarily, the target area includes Person to be evaluated 1, Person to be evaluated 2, and Person to be evaluated 3. After historical calculation, the risk level of Person to be evaluated 1 is level 2, and the risk level of Person to be evaluated 2 is level 3. If the risk level of Person to be evaluated 3 is calculated to be level 1, the risk level of Person to be evaluated 1 can be adjusted to level 1, and the risk level of Person to be evaluated 2 can be adjusted to level 2.

[0084] In some embodiments, it can be at C 突发风险 >C 标准突发风险 When, the scoring interval of the level 1 risk level is reduced by 20% to achieve adaptive adjustment of the early warning sensitivity in the case of sudden risk scenarios. Among them, those skilled in the art can set the value of C 标准突发风险 For example, set the value of C 标准突发风险 The value is 0.8, and the embodiments of the present application are not limited.

[0085] See Figure 3 , the present invention also provides a personnel risk assessment system, including a risk information acquisition module, a spatio-temporal correction information acquisition module, a risk score determination module, and a risk level determination module.

[0086] Among them, the risk information acquisition module is used to acquire the risk information corresponding to the person to be evaluated. The risk information corresponding to the person to be evaluated includes the behavioral risk information of the person to be evaluated, the equipment risk information of the equipment around the person to be evaluated, the environmental risk information of the target area, and the process risk information of the area where the person to be evaluated is located. The equipment around the person to be evaluated is the equipment at a preset distance from the person to be evaluated. The target area is the area where the person to be evaluated is located among multiple working areas. The space-time correction information acquisition module is used to acquire the space-time correction information corresponding to the person to be evaluated. The space-time correction information is determined based on the identity information of the person to be evaluated, the historical violation behavior information of the person to be evaluated, and the area risk information of the target area. The area risk information is determined based on the fixed risk information of the corresponding working area, the accident information of the risk accidents that have occurred in the working area history, and the influence degree of the risk accidents that occur in real time in each working area among multiple working areas on the corresponding working area. The risk score determination module is used to determine the risk score of the person to be evaluated based on the risk information and the space-time correction information corresponding to the person to be evaluated. The risk level determination module is used to determine the risk level of the person to be evaluated based on the risk score of the person to be evaluated.

[0087] In some embodiments, referring further to Figure 3 , a personnel risk assessment system provided by the present invention may further include an early warning module, and the early warning module may be used to prompt the early warning information corresponding to the risk level of the person to be evaluated based on the risk level of the person to be evaluated.

[0088] It can be seen that the embodiments of the present application incorporate the behavior of the person to be evaluated, the surrounding equipment, the surrounding environment, the integrity of the process within the area, and the space-time context (the identity of the person to be evaluated, the historical violation situation of the person to be evaluated, and the impact of surrounding accidents in the working area) into a unified assessment framework to evaluate the risk of the person to be evaluated from multiple dimensions, realizing precise safety early warning and control of "one person, one policy". Compared with the traditional method of evaluating the risk of the person to be evaluated based on a single dimension, it can improve the accuracy of personnel risk assessment.

[0089] In some solutions, multiple embodiments of the present application can be combined and the combined solutions can be implemented. Optionally, some operations in the processes of the method embodiments are optionally combined, and / or the order of some operations is optionally changed. Moreover, the execution order between the steps of each process is only exemplary and does not constitute a limitation on the execution order between the steps. There can also be other execution orders between the steps. It is not intended to indicate that the execution order is the only order in which these operations can be performed. Those of ordinary skill in the art will think of various ways to reorder the operations described herein. Additionally, it should be noted that the process details involved in a certain embodiment herein are equally applicable to other embodiments in a similar manner, or different embodiments can be combined and used.

[0090] In addition, some steps in the method embodiments can be equivalently replaced with other possible steps. Or, some steps in the method embodiments can be optional and can be deleted in some usage scenarios. Or, other possible steps can be added to the method embodiments. Moreover, the method embodiments can be implemented independently or in combination with each other.

[0091] From the description of the above embodiments, those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to complete all or part of the functions described above.

[0092] In several embodiments provided in the present application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the systems or units can be in electrical, mechanical or other forms.

[0093] In addition, each functional unit in the various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0094] If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of the present application, in essence, or the part that makes a contribution, or all or part of the technical solution, can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a device (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute all or part of the steps of the methods described in the various embodiments of the present application. The foregoing storage medium includes: USB flash drives, mobile hard disks, read only memory (ROM), random access memory (RAM), magnetic disks, or optical discs and other various media that can store program codes.

[0095] The above content is only a specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered by the protection scope of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Claims

1. A method for personnel risk assessment, characterized in that, Including: Obtaining risk information corresponding to the person to be evaluated; The risk information corresponding to the person to be evaluated includes the behavior risk information of the person to be evaluated, the equipment risk information of the equipment around the person to be evaluated, the environmental risk information of the target area, and the process risk information of the target area; The equipment around the person to be evaluated is the equipment at a preset distance from the person to be evaluated; The target area is the area where the person to be evaluated is located among multiple working areas; The behavior risk information is determined based on the wearing behavior information and action behavior information of the corresponding person to be evaluated; the equipment risk information is determined based on the operating status information, working parameter information, and equipment attribute information of the corresponding equipment; the environmental risk information is determined based on the environmental parameter information and the number of people gathering in the corresponding area; the process risk information is determined based on the overdue information of operations, overdue information of inspection tasks, and overdue information of hidden danger rectification in the target area; Obtaining the spatio-temporal correction information corresponding to the person to be evaluated; The spatio-temporal correction information is determined based on the identity information of the person to be evaluated, the historical violation behavior information of the person to be evaluated, and the regional risk information of the target area; the regional risk information is determined based on the fixed risk information of the corresponding working area, the accident information of risk accidents that have occurred in the working area history, and the influence degree of the risk accidents that occur in real time in each working area among the multiple working areas on the corresponding working area; Based on the risk information and spatio-temporal correction information corresponding to the person to be evaluated, determining the risk score of the person to be evaluated; Based on the risk score of the person to be evaluated, determining the risk level of the person to be evaluated.

2. The method according to claim 1, wherein The wearing behavior information includes at least one of the safety helmet wearing data, work jacket wearing data, work pants wearing data, glove wearing data, and gas mask wearing data of the corresponding person to be evaluated; the action behavior information includes at least one of the smoking behavior data, mobile phone using behavior data, sleeping behavior data, climbing behavior data, and leaving post or changing post behavior data of the corresponding person to be evaluated; the operating status information includes at least one of the working status data and non-working status data of the corresponding equipment; the working parameter information includes at least one of the pressure data, temperature data, liquid level data, vibration data, rotation speed data, and lubricating oil temperature data of the corresponding equipment; the equipment attribute information includes at least one of the equipment type data, production date data, planned scrapping date data, inspection date data of the most recent inspection, and inspection date data of the next inspection of the corresponding equipment; the environmental information includes at least one of the temperature data, humidity data, gas component data, and gas concentration data of the corresponding area; the overdue information of operations includes the data of overdue operations not accepted in the corresponding area; the overdue information of inspection tasks includes the data of overdue operations not inspected in the corresponding area; the overdue information of hidden danger rectification includes the data of overdue hidden dangers not rectified in the corresponding area.

3. The method according to claim 2, wherein Also including: In the case of detecting a risk accident occurring in any one of the multiple operation areas, based on the accident information corresponding to the risk accident occurring in any one of the operation areas, predict the degree of impact of the risk accident occurring in any one of the operation areas on the target area; Based on the fixed risk information of the target area, the accident information of the risk accidents that have occurred in the target area in history, and the degree of impact of the risk accident occurring in any one of the operation areas on the target area, determine the area risk information of the target area.

4. The method according to claim 3, wherein The accident information corresponding to the risk accident occurring in any one of the areas includes the gas component data and gas concentration data in any one of the areas; the predicting the degree of impact of the risk accident occurring in any one of the operation areas on the target area based on the accident information corresponding to the risk accident occurring in any one of the operation areas includes: Based on the gas component data and gas concentration data in any one of the areas, and the gas flow direction between any one of the areas and the target area, predict the degree of impact of the risk accident occurring in any one of the operation areas on the target area.

5. The method according to claim 4, characterized in that, The determining the risk score of the person to be evaluated based on the risk information and spatio-temporal correction information corresponding to the person to be evaluated includes: Based on the risk information corresponding to the person to be evaluated, determine the basic risk score corresponding to the person to be evaluated; Based on the spatio-temporal correction information corresponding to the person to be evaluated, determine the spatio-temporal correction coefficient corresponding to the person to be evaluated; Based on the basic risk score and spatio-temporal correction coefficient corresponding to the person to be evaluated, determine the risk score of the person to be evaluated.

6. The method according to claim 5, wherein The basic risk score corresponding to the person to be evaluated is determined based on the behavior risk score, equipment risk score, environmental risk score, process risk score, weight of the behavior risk score, weight of the equipment risk score, weight of the environmental risk score, and weight of the process risk score corresponding to the person to be evaluated; the behavior risk score corresponding to the person to be evaluated is determined based on the behavior risk information of the person to be evaluated; the equipment risk score corresponding to the person to be evaluated is determined based on the equipment risk information of the equipment around the person to be evaluated; the environmental risk score corresponding to the person to be evaluated is determined based on the environmental risk information of the target area; the process risk score corresponding to the person to be evaluated is determined based on the process risk information of the target area.

7. The method according to claim 6, wherein It further includes: Based on the task attributes of the task to be executed by the person to be evaluated in the target area, determine the weights of the behavior risk score, equipment risk score, environmental risk score, and process risk score corresponding to the person to be evaluated.

8. The method according to claim 7, characterized in that The method further includes: Based on the risk level of the person to be evaluated, prompt the warning information corresponding to the risk level of the person to be evaluated.

9. The method according to claim 8, characterized in that, The method further includes: Based on the risk level of the person to be evaluated, adjust the risk level of the associated person; the associated person is located in the target area and is different from the person to be evaluated.

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