A safety management system for water conservancy and hydropower construction enterprises

Abstract

The present invention discloses a safety management system for water conservancy and hydropower construction enterprises, which relates to the technical field of water conservancy and hydropower construction management. When the system operates, it obtains the position information and behavior data of workers in real time through the personnel behavior acquisition module, quantifies the behavior norms of workers, and further fits out the safety risk assessment coefficient R through the safety behavior scoring index S and the risk stay factor T. When it exceeds the preset threshold Rthe, a safety warning notice is triggered to timely inform relevant personnel of potential risks, effectively reducing the possibility of accidents. Specific safety suggestions for construction operations are provided and timely notified to workers for implementation, so as to ensure that workers can take appropriate safety measures according to real-time feedback, solve the problems in the traditional safety management mode that cannot comprehensively monitor the behavior of workers, give timely warnings and formulate effective intervention measures, and improve the management of high-risk areas and the intervention frequency for high-risk workers.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy and hydropower construction management, and in particular to a safety management system for water conservancy and hydropower construction enterprises. Background Art

[0002] Water conservancy and hydropower construction companies are a key sector of the infrastructure construction industry. These projects are typically large-scale, with long construction periods and complex and tedious processes. These projects encompass not only the construction of dams, spillways, and generator hardware, but also the renovation and protection of the surrounding environment. Therefore, construction site safety management plays a crucial role in the entire project. Especially on such large-scale projects, the safety management of construction workers presents numerous challenges. Effective safety monitoring and management of large and complex construction sites has become a pressing challenge for the industry.

[0003] Currently, safety management at water conservancy and hydropower construction companies primarily relies on manual inspections and regular safety training. While these measures can ensure safety to a certain extent, they still have significant shortcomings. First, construction sites are typically large, with workers distributed across multiple work areas. Traditional manual inspections struggle to capture all worker behaviors, and the frequency and coverage of inspections are limited, making it impossible to detect safety hazards in real time. Second, existing safety management methods are often limited to static rules and regulations, failing to dynamically monitor workers' real-time behavior and location.

[0004] Construction companies also face the issue of high worker mobility. Due to project complexity and tight deadlines, workers are often reassigned to different work positions, making it more difficult to manage their work status and behavior across different areas. Traditional safety management systems often lack in-depth analysis of worker behavior and fail to provide sufficient feedback and quantitative data. These factors combine to create significant loopholes and limitations in the practical application of traditional safety management systems, making it difficult to effectively ensure overall safety on construction sites. Summary of the Invention

[0005] In view of the deficiencies in the prior art, the present invention provides a safety management system for water conservancy and hydropower construction enterprises, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a safety management system for water conservancy and hydropower construction enterprises, comprising a personnel behavior collection module, a behavior and risk assessment module, a risk feedback and early warning module, and a suggestion generation module;

[0007] The personnel behavior collection module obtains the location information and behavior data of workers in real time by using RFID and GPS devices, marks the unique identification information of personnel, and forms a collection data set;

[0008] The behavior and risk assessment module evaluates the behavior norms of personnel according to the collection data set, obtains the safety behavior score index S of personnel, then calculates the risk stay factor T of personnel in the risk work area, and obtains the safety risk assessment coefficient R of personnel after fitting;

[0009] The risk feedback and early warning module compares the preset safety risk assessment threshold Rthe with the safety risk assessment coefficient R to obtain the risk assessment result during the construction process of personnel, and triggers an early warning notice according to the risk assessment result;

[0010] The suggestion generation module generates a construction safety suggestion notice plan for construction personnel according to the safety risk assessment coefficient R and the risk assessment result, and synchronously prompts relevant construction personnel according to the content of the construction safety suggestion notice plan.

[0011] Preferably, the personnel behavior collection module includes a location information collection unit, a behavior data collection unit, and a collection data processing unit;

[0012] The location information collection unit collects the location information of personnel in real time by using RFID and GPS devices, marks the location of the work area where the personnel are located, and associates the location of the work area with the unique identifier of the personnel to generate a location data set of personnel, including the unique identifier Pid of personnel, the stay duration Ptl, the location Pwz, and the work area Pqy.

[0013] Preferably, the behavior data collection unit collects the behavior data of personnel in real time through the image recognition sensors set in the work area, including using RFID to confirm the identity of personnel, taking the image information of personnel by the camera when the personnel enter the work area location, and then using the image recognition algorithm to judge whether the personnel wear safety equipment, and synchronously integrating the judgment result with the unique identifier of the personnel to form a behavior data set of personnel, including the equipment worn by personnel Ppd, the type of personnel behavior Plx, and the time of personnel behavior Psj.

[0014] Preferably, the collected data processing unit analyzes the residence duration Ptl and location Pwz in the location dataset and the construction difficulty of different working areas Pqy, obtains the working area risk factor Rwz of personnel in different personnel working areas Pqy, performs categorical variable encoding processing on the behavior dataset to obtain the personnel wearing status variable BPpd and the personnel behavior type variable BPlx, and performs integration processing to obtain the collected dataset, including the unique identifier Pid, residence duration Ptl, location Pwz, working area Pqy, working area risk factor Rwz, personnel wearing status variable BPpd, personnel behavior type variable BPlx, and personnel behavior time Psj;

[0015] The working area risk factor Rwz is obtained through the following calculation formula:

[0016]

[0017] In the formula, n represents the total number of personnel, m represents the total number of different working areas, i represents the i-th personnel, j represents the j-th working area, Ptl(i, j) represents the residence duration of the i-th personnel in the j-th working area, and r(j) represents the construction difficulty of the j-th working area.

[0018] Preferably, the behavior and risk assessment module includes a risk factor calculation unit and a risk factor calculation unit;

[0019] The risk factor calculation unit evaluates the behavior norms of personnel according to the collected dataset, obtains the personnel safety behavior scoring index S, and then calculates the risk residence factor T of personnel in the risk working area;

[0020] The personnel safety behavior scoring index S is obtained through the following calculation formula:

[0021]

[0022] In the formula, S(i) represents the personnel safety behavior scoring index of the i-th personnel, Ptl(i) represents the residence duration of the i-th personnel, Psj(i) represents the personnel behavior time of the i-th personnel, Tmax and Pmax respectively represent the upper limit values of the residence duration Ptl(i) of the i-th personnel and the upper limit value of the personnel behavior time Psj(i) of the i-th personnel, BPpd(i) is the personnel wearing status variable of the i-th personnel, BPlx(i) represents the personnel behavior type variable of the i-th personnel, and γ1 and γ2 represent adjustment coefficients, which are respectively used to adjust the influence of the residence duration Ptl(i) of the i-th personnel and the personnel behavior time Psj(i) of the i-th personnel on the personnel safety behavior scoring index S(i) of the i-th personnel;

[0023] The risk residence factor T is obtained through the following calculation formula:

[0024] T(i) = [Ptl(i) β1 *Rwz ∈ Pqy(i)]*(1 + λ1*r(Pqy(i)));

[0025] In the formula, T(i) represents the risk stay factor of the i-th person, Rwz ∈ Pqy(i) represents the work area risk factor Rwz of the work area Pqy of the i-th person, β1 represents the weight value of the stay duration, λ1 represents the adjustment coefficient, and r represents the construction difficulty of the work area.

[0026] Preferably, the risk factor calculation unit performs a fitting process on the personnel safety behavior scoring index S and the risk stay factor T, and obtains the safety risk assessment coefficient R of the personnel after fitting, so as to quantify the behavior and position of the personnel during the construction process;

[0027] The safety risk assessment coefficient R is obtained through the following calculation formula:

[0028]

[0029] In the formula, R(i) represents the safety risk assessment coefficient of the i-th person, and λ2 represents the adjustment coefficient.

[0030] Preferably, the risk feedback and warning module includes a risk comparison unit and a trigger unit;

[0031] The risk comparison unit compares the safety risk assessment coefficient R(i) of the i-th person with the preset safety risk assessment threshold Rthe to obtain the risk assessment result of the person during the construction process;

[0032] The risk assessment result is obtained through the following comparison method:

[0033]

[0034] In the formula, Status(i) represents the risk assessment result of the i-th person;

[0035] When the risk assessment result Status(i) of the i-th person = 1, obtain the risk assessment result as the existence of risk result, and synchronously associate the risk assessment result Status(i) of the i-th person with the unique identifier Pid of the i-th person;

[0036] When the risk assessment result Status(i) of the i-th person = 0, obtain the risk assessment result as the non-existence of risk result, and synchronously associate the risk assessment result Status(i) of the i-th person with the unique identifier Pid of the i-th person.

[0037] Preferably, the triggering unit determines whether to trigger a warning notification based on the risk assessment result Status(i) of the ith person. When a warning notification is triggered, the unique identifier Pid of the ith person is extracted to send a warning notification to the communication device worn by the ith person, indicating that the personal equipment Ppd, personal behavior type Plx, and personal behavior time Psj of the ith person are abnormal, and to leave the current work area, organize and debug the safety equipment, and then enter the current work area again.

[0038] Preferably, the warning notification is triggered specifically in the following manner:

[0039] When the risk assessment result Status(i) of the ith person = 1, it is determined to trigger a warning notification for the ith person. At the same time, the number of times of the risk assessment result Status(i) associated with the cumulative unique identifier Pid during the working period is counted. When it exceeds 3 times, the unique identifier Pid is sent to the relevant safety management department for warning notification processing;

[0040] When the risk assessment result Status(i) of the ith person = 0, it is determined not to trigger a warning notification for the ith person, and at the same time, the number of times of the risk assessment result Status(i) associated with the cumulative unique identifier Pid during the working period is initialized.

[0041] Preferably, the recommendation generation module generates a construction safety recommendation notification plan for construction workers according to the safety risk assessment coefficient R and the risk assessment result, including filling the safety equipment wearing recommendation, construction environment inspection recommendation, confirmation of the work process content by contacting the safety person in charge, the safety risk assessment coefficient R, the risk assessment result, and the unique identifier Pid of the person into a preset notification template to generate a construction safety recommendation notification plan, and synchronously sending it to the communication device worn by the person by means of the Internet according to the content of the construction safety recommendation notification plan to prompt the relevant construction workers.

[0042] The present invention provides a safety management system for water conservancy and hydropower construction enterprises, which has the following beneficial effects:

[0043] (1) When the system is running, the personnel behavior acquisition module obtains the location information and behavior data of workers in real time, quantifies the behavior norms of workers, and further fits out the safety risk assessment coefficient R through the safety behavior scoring index S and the risk stay factor T. When it exceeds the preset threshold Rthe, a safety warning notice is triggered to inform relevant personnel of potential risks in a timely manner, effectively reducing the possibility of accidents. Specific safety suggestions for construction operations are provided and workers are notified to execute them in a timely manner, so as to ensure that workers can take appropriate safety measures based on real-time feedback, solving the problems in the traditional safety management mode that cannot comprehensively monitor workers' behaviors, give timely warnings, and formulate effective intervention measures, and improving the management of high-risk areas and the intervention frequency for high-risk workers.

[0044] (2) Through the safety behavior scoring index S of personnel and the risk stay factor T, according to the behavior performance and stay duration of personnel in different work areas, the risk level of each worker during the construction process is quantified. By accurately calculating the safety behavior scoring index S of personnel, considering factors such as the behavior time of personnel, the situation of wearing safety equipment, and the type of behavior, it can effectively reflect the compliance of personnel's safety behaviors. The risk stay factor T further quantifies the exposure degree of personnel in high-risk areas based on the time the worker stays and the construction difficulty of the work area, and can identify high-risk personnel in real time and quantify the risks, enabling safety management to shift from traditional passive management to active prediction and intervention, greatly improving the safety control level at the construction site.

[0045] (3) Through the risk comparison unit, the safety risk assessment coefficient R of each person is compared with the preset risk threshold Rthe to accurately evaluate the risk level of each person, and the evaluation result is associated with the unique identifier Pid of the person through the risk assessment result Status, ensuring that the risk status of each worker is clearly recorded. The system automatically triggers a warning notice to remind the worker to check and adjust the safety equipment to ensure that their behavior complies with safety regulations. If a worker violates the regulations multiple times, the system will further send their identification information Pid to the safety management department to take further measures, ensuring timely intervention for high-risk personnel. At the same time, the system can track the risk assessment history of each worker, automatically count and accumulate the risk assessment results, enhancing the predictability and effectiveness of risk management. In addition, by automatically generating a safety suggestion notice plan for construction operations, not only can specific safety tips be sent to workers in a timely manner, but also the compliance of construction personnel with safety behavior norms can be strengthened. Such an intelligent warning and reminder mechanism effectively reduces potential safety hazards and ensures more comprehensive protection of personnel safety management during the construction process. Description of the Drawings

[0046] Figure 1 It is a schematic block diagram of a safety management system for water conservancy and hydropower construction enterprises of the present invention. Detailed implementation mode

[0047] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0048] Embodiment 1

[0049] The present invention provides a safety management system for water conservancy and hydropower construction enterprises. Please refer to Figure 1 , including a personnel behavior collection module, a behavior and risk assessment module, a risk feedback and early warning module, and a suggestion generation module;

[0050] The personnel behavior collection module uses RFID and GPS devices to obtain the location information and behavior data of workers in real time, and marks the unique identification information of personnel to form a collection data set;

[0051] The behavior and risk assessment module evaluates the behavior norms of personnel according to the collection data set, obtains the safety behavior score index S of personnel, then calculates the risk stay factor T of personnel in the risk work area, and obtains the safety risk assessment coefficient R of personnel after fitting;

[0052] The risk feedback and early warning module compares the preset safety risk assessment threshold Rthe with the safety risk assessment coefficient R to obtain the risk assessment result during the construction process of personnel, and triggers an early warning notice according to the risk assessment result;

[0053] The suggestion generation module generates a construction operation safety suggestion notice plan for construction personnel according to the safety risk assessment coefficient R and the risk assessment result, and synchronously prompts relevant construction personnel according to the content of the construction operation safety suggestion notice plan.

[0054] In this embodiment, the personnel behavior collection module obtains the location information and behavior data of workers in real time, and accurately calibrates the location and identity of workers through RFID and GPS technologies, so as to ensure the accuracy and traceability of personnel behavior data. Immediately afterwards, the behavior and risk assessment module deeply analyzes the collected data, quantifies the behavior norms of workers, and further fits out the safety risk assessment coefficient R through the safety behavior scoring index S and the risk residence factor T, providing a scientific basis for subsequent safety early warning and intervention. Real-time monitoring is also achieved through the risk feedback and early warning module. When the preset threshold Rthe is exceeded, a safety early warning notice is triggered to promptly inform relevant personnel of potential risks, effectively reducing the possibility of accidents. The suggestion generation module provides specific safety suggestions for construction operations according to the evaluation results and promptly notifies workers to execute them, so as to ensure that workers can take appropriate safety measures based on real-time feedback, further strengthening the implementation of safety management. At the same time, due to the combined analysis of location information and behavior data, it can not only accurately track the activities of personnel, but also quantitatively evaluate the safety of behaviors, solving the problems in traditional safety management models where it is impossible to comprehensively monitor the behaviors of workers, give early warnings in a timely manner, and formulate effective intervention measures. Through the comprehensive evaluation based on the safety behavior scoring index S and the risk residence factor T, it is possible to dynamically and real-time grasp the safety status of workers, effectively prevent accidents, especially in work areas with greater construction difficulty, improving the management of high-risk areas and the intervention frequency for high-risk workers.

[0055] Embodiment 2

[0056] This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 , specifically: The personnel behavior collection module includes a location information collection unit, a behavior data collection unit, and a collected data processing unit;

[0057] The location information collection unit collects the location information of personnel in real time through RFID and GPS devices, marks the location of the work area where the personnel are located, and associates the work area location with the unique identifier of the personnel to generate a location data set of the personnel, including the unique identifier Pid of the personnel, the residence duration Ptl, the location Pwz, and the work area Pqy.

[0058] The behavior data collection unit collects the behavior data of personnel in real time through image recognition sensors set in the work area, including using RFID to confirm the identity of the personnel. When the personnel enter the work area location, the camera takes the image information of the personnel, and then uses image recognition algorithms to judge whether the personnel are wearing safety equipment. The judgment result is synchronously integrated with the unique identifier of the personnel to form a behavior data set of the personnel, including the equipment worn by the personnel Ppd, the type of personnel behavior Plx, and the time of personnel behavior Psj.

[0059] The collected data processing unit analyzes the residence duration Ptl and location Pwz in the location dataset and the construction difficulty of different working areas Pqy, obtains the working area risk factor Rwz of personnel in different personnel working areas Pqy, performs categorical variable encoding processing on the behavior dataset to obtain the personnel wearing status variable BPpd and the personnel behavior type variable BPlx, and performs integration processing to obtain the collected dataset, including the unique identifier Pid, residence duration Ptl, location Pwz, working area Pqy, working area risk factor Rwz, personnel wearing status variable BPpd, personnel behavior type variable BPlx, and personnel behavior time Psj;

[0060] The personnel wearing status variable BPpd is obtained through categorical variable encoding processing according to the result of the personnel wearing equipment Ppd. When the personnel wearing equipment Ppd is wearing safety equipment, the personnel wearing status variable BPpd is set to 1. When the personnel wearing equipment Ppd is not wearing equipment, the personnel wearing status variable BPpd is set to 9;

[0061] The personnel behavior type variable BPlx is obtained through categorical variable encoding processing according to the type of the personnel behavior type Plx. When the personnel enter the working area, the personnel behavior type Plx is set to 9, and the set value of the personnel wearing status variable BPpd can be accumulated after entering the working area. When there are multiple times of not wearing equipment within a fixed period, the personnel wearing status variable BPpd is set to 9 multiplied by the number of occurrences. When the personnel leave the working area, the personnel behavior type Plx is set to 1;

[0062] The working area risk factor Rwz is obtained through the following calculation formula:

[0063]

[0064] In the formula, n represents the total number of personnel, m represents the total number of different working areas, i represents the i-th personnel, j represents the j-th working area, Ptl(i, j) represents the residence duration of the i-th personnel in the j-th working area, and r(j) represents the construction difficulty of the j-th working area, which is specifically marked with the construction difficulty level of the working area through the difficulty of the construction area in the construction team design drawings.

[0065] In this embodiment, by using RFID and GPS devices, the location data of workers is obtained in real time, and the risk factor Rwz of the work area is calculated according to the construction difficulty of different work areas, providing basic data for subsequent risk analysis and early warning. In addition, the behavior data collection unit monitors the wearing situation of workers' safety equipment in real time through image recognition technology and RFID identity confirmation, and quantifies and classifies the behaviors of workers through the personnel wearing status variable BPpd and the personnel behavior type variable BPlx. In this process, the system can automatically accumulate the abnormal values of the wearing status variable BPpd, and timely discover and feedback the safety behavior violations of workers. The collected data processing unit dynamically evaluates the risk through the analysis of the stay duration Ptl and the location Pwz, combined with the construction difficulty, so as to generate a comprehensive data set, including the risk factor Rwz of the work area and the safety behavior data of personnel, ensuring that in a complex construction environment, the safety risks of workers can be accurately evaluated, potential safety hazards can be timely discovered, not only realizing the real-time collection and quantification of workers' behavior norms, but also providing a scientific decision-making basis for safety management through accurate location and behavior data analysis. Especially when comprehensively evaluating the risk factors of different work areas and the behavior norms of workers, the system can effectively identify high-risk areas and potential violations of workers, give early warnings, and avoid the possibility of accidents. This multi-dimensional analysis method based on location, behavior and risk effectively solves the problems of information lag and untimely response in traditional safety management, and improves the response speed and accuracy of construction site safety management.

[0066] Embodiment 3

[0067] This embodiment is an explanatory description carried out in Embodiment 2, please refer to Figure 1 , specifically: The behavior and risk assessment module includes a risk factor calculation unit and a risk factor calculation unit;

[0068] The risk factor calculation unit evaluates the behavior norms of personnel according to the collected data set, obtains the personnel safety behavior scoring index S, and then calculates the risk stay factor T of personnel in the risk work area;

[0069] The personnel safety behavior scoring index S is obtained through the following calculation formula:

[0070]

[0071] Wherein, S(i) represents the personnel safety behavior scoring index of the i-th person, Ptl(i) represents the staying duration of the i-th person, Psj(i) represents the personnel behavior time of the i-th person, Tmax and Pmax respectively represent the upper limit values of the staying duration Ptl(i) of the i-th person and the upper limit value of the personnel behavior time Psj(i) of the i-th person, BPpd(i) is the personnel wearing status variable of the i-th person, BPlx(i) represents the personnel behavior type variable of the i-th person, and γ1 and γ2 represent adjustment coefficients, which are respectively used to adjust the influence of the staying duration Ptl(i) of the i-th person and the personnel behavior time Psj(i) of the i-th person on the personnel safety behavior scoring index S(i) of the i-th person;

[0072] The risk staying factor T is obtained through the following calculation formula:

[0073]

[0074] Wherein, T(i) represents the risk staying factor of the i-th person, Rwz ∈ Pqy(i) represents the work area risk factor Rwz of the work area Pqy of the i-th person, β1 represents the staying duration weight value, which is specifically used to adjust the influence of the staying duration Ptl(i) of the i-th person on the risk staying factor T(i) of the i-th person, λ1 represents the adjustment coefficient, which is specifically used to adjust the influence of the construction difficulty r of the work area Pqy of the i-th person on the risk staying factor T(i) of the i-th person, and r represents the construction difficulty of the work area.

[0075] The risk factor calculation unit performs fitting processing on the personnel safety behavior scoring index S and the risk staying factor T, and obtains the safety risk assessment coefficient R of the personnel after fitting, and quantifies the risks of the behavior and position of the personnel during the construction process;

[0076] The safety risk assessment coefficient R is obtained through the following calculation formula:

[0077]

[0078] Wherein, R(i) represents the safety risk assessment coefficient of the i-th person, λ2 represents the adjustment coefficient, which is specifically used to adjust the influence of the construction difficulty r of the work area Pqy of the i-th person on the safety risk assessment coefficient R and the influence of the personnel safety behavior scoring index S(i) of the i-th person on the safety risk assessment coefficient R.

[0079] In this embodiment, a comprehensive assessment of the safety behavior and location risks of personnel at the construction site is achieved. First, the risk factor calculation unit uses the collected personnel safety behavior scoring index S and risk stay factor T to quantify the risk level of each worker during the construction process based on the behavior performance and stay duration of the personnel in different work areas. By accurately calculating the personnel safety behavior scoring index S, factors such as the behavior time of the personnel, the situation of wearing safety equipment, and the behavior type are considered, which can effectively reflect the compliance of the personnel's safety behavior. The risk stay factor T further quantifies the exposure degree of the personnel in high-risk areas based on the time the worker stays and the construction difficulty of the work area, and can identify high-risk personnel in real time and quantify the risks, enabling safety management to shift from traditional passive management to active prediction and intervention, greatly improving the safety control level at the construction site.

[0080] Embodiment 4

[0081] This embodiment is an explanatory description carried out in Embodiment 3. Please refer to Figure 1 , specifically: The risk feedback and warning module includes a risk comparison unit and a trigger unit;

[0082] The risk comparison unit obtains the risk assessment result during the construction process of the personnel by comparing the safety risk assessment coefficient R(i) of the i-th person with the preset safety risk assessment threshold Rthe;

[0083] The risk assessment result is obtained through the following comparison method:

[0084]

[0085] In the formula, Status(i) represents the risk assessment result of the i-th person;

[0086] When the risk assessment result Status(i) of the i-th person = 1, obtain the risk assessment result as a risk result, and synchronously associate the risk assessment result Status(i) of the i-th person with the unique identifier Pid of the i-th person;

[0087] When the risk assessment result Status(i) of the i-th person = 0, obtain the risk assessment result as a non-risk result, and synchronously associate the risk assessment result Status(i) of the i-th person with the unique identifier Pid of the i-th person.

[0088] The triggering unit makes a judgment to trigger a warning notification according to the risk assessment result Status(i) of the i-th person. When the warning notification is triggered, the unique identifier Pid of the i-th person is extracted to send a warning notification to the communication device worn by the i-th person, prompting that the personal wearing equipment Ppd, the personal behavior type Plx, and the personal behavior time Psj of the i-th person are abnormal, and to leave the current working area, organize and debug the safety equipment, and then enter the current working area again.

[0089] The triggering of the warning notification is specifically carried out in the following manner:

[0090] When the risk assessment result Status(i) of the i-th person = 1, it is determined to trigger a warning notification for the i-th person. At the same time, the number of times of the risk assessment result Status(i) associated with the cumulative unique identifier Pid during the working period is counted. When it exceeds 3 times, the unique identifier Pid is sent to the relevant safety management department for warning notification processing;

[0091] When the risk assessment result Status(i) of the i-th person = 0, it is determined not to trigger a warning notification for the i-th person, and at the same time, the number of times of the risk assessment result Status(i) associated with the cumulative unique identifier Pid during the working period is initialized.

[0092] The suggestion generation module generates a construction worker's construction operation safety suggestion notification plan according to the safety risk assessment coefficient R and the risk assessment result, including filling the suggestions for wearing safety equipment, suggestions for inspecting the construction environment, contacting the safety person in charge to confirm the work process content, the safety risk assessment coefficient R, the risk assessment result, and the unique identifier Pid of the person into a preset notification template to generate a construction operation safety suggestion notification plan, and synchronously sending it to the communication device worn by the person by using Internet-related methods according to the content of the construction operation safety suggestion notification plan to prompt the relevant construction workers.

[0093] In this embodiment, the risk comparison unit compares the safety risk assessment coefficient R of each person with the preset risk threshold Rthe to accurately evaluate the risk level of each person, and associates the evaluation result with the unique identifier Pid of the person through the risk assessment result Status, ensuring that the risk status of each worker is clearly recorded. The system automatically triggers a warning notice to remind the worker to check and adjust the safety equipment to ensure that their behavior complies with safety regulations. If a worker violates the regulations multiple times, the system will further send their identification information Pid to the safety management department to take further measures, ensuring timely intervention for high-risk personnel. At the same time, the system can track the risk assessment history of each worker, automatically count and accumulate the risk assessment results, improving the predictability and effectiveness of risk management. In addition, by automatically generating a safety suggestion notice plan for construction operations, not only can specific safety tips be sent to workers in a timely manner, but also the compliance of construction personnel with safety behavior norms can be strengthened. Such an intelligent warning and reminder mechanism effectively reduces potential safety hazards and ensures more comprehensive protection of personnel safety management during the construction process.

[0094] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A safety management system for water conservancy and hydropower construction enterprises, characterized in that: It includes a personnel behavior collection module, a behavior and risk assessment module, a risk feedback and warning module, and a suggestion generation module; The personnel behavior collection module uses RFID and GPS devices to obtain the location information and behavior data of workers in real time, and marks the unique identification information of personnel to form a collection data set; The behavior and risk assessment module evaluates the behavior norms of personnel according to the collection data set, obtains the personnel safety behavior scoring index S of the personnel, then calculates the risk stay factor T of the personnel in the risk work area, and obtains the safety risk assessment coefficient R of the personnel after fitting; The behavior and risk assessment module includes a risk factor calculation unit and a risk factor calculation unit; The risk factor calculation unit evaluates the behavior norms of personnel according to the collection data set, obtains the personnel safety behavior scoring index S of the personnel, and then calculates the risk stay factor T of the personnel in the risk work area; The personnel safety behavior scoring index S is obtained through the following calculation formula: In the formula, S(i) represents the personnel safety behavior scoring index of the i-th person, Ptl(i) represents the stay duration of the i-th person, Psj(i) represents the personnel behavior time of the i-th person, Tmax and Pmax respectively represent the upper limit value of the stay duration Ptl(i) of the i-th person and the upper limit value of the personnel behavior time Psj(i) of the i-th person, BPpd(i) is the personnel wearing status variable of the i-th person, BPlx(i) represents the personnel behavior type variable of the i-th person, and γ1 and γ2 represent adjustment coefficients, which are respectively used to adjust the influence of the stay duration Ptl(i) of the i-th person and the personnel behavior time Psj(i) of the i-th person on the personnel safety behavior scoring index S(i) of the i-th person; The risk stay factor T is obtained through the following calculation formula: In the formula, T(i) represents the risk stay factor of the i-th person, Rwz∈Pqy(i) represents the work area risk factor Rwz of the work area Pqy of the i-th person, β1 represents the stay duration weight value, λ1 represents the adjustment coefficient, and r represents the construction difficulty of the work area; The risk factor calculation unit performs a fitting process on the personnel safety behavior scoring index S and the risk stay factor T, and obtains the safety risk assessment coefficient R of the personnel after fitting to quantify the behavior and location of the personnel during the construction process; The safety risk assessment coefficient R is obtained through the following calculation formula: In the formula, R(i) represents the safety risk assessment coefficient of the i-th person, and λ2 represents the adjustment coefficient; The risk feedback and warning module compares the preset safety risk assessment threshold Rthe with the safety risk assessment coefficient R to obtain the risk assessment result of the personnel during the construction process, and triggers a warning notice according to the risk assessment result; The suggestion generation module generates a construction safety suggestion notice plan for construction personnel according to the safety risk assessment coefficient R and the risk assessment result, and synchronously prompts relevant construction personnel according to the content of the construction safety suggestion notice plan.

2. The safety management system for a water conservancy and hydropower construction enterprise according to claim 1, wherein: The personnel behavior collection module includes a location information collection unit, a behavior data collection unit, and a collection data processing unit; The position information acquisition unit collects the position information of personnel in real time through RFID and GPS devices, marks the position of the working area where the personnel are located, and associates the working area position with the unique identifier of the personnel to generate a position dataset of the personnel, including the unique identifier Pid of the personnel, the residence duration Ptl, the position Pwz, and the working area Pqy.

3. The safety management system for a water conservancy and hydropower construction enterprise according to claim 2, wherein: The behavior data acquisition unit collects the behavior data of personnel in real time through image recognition sensors set in the working area, including using RFID to confirm the identity of the personnel. When the personnel enter the working area position, the camera captures the image information of the personnel, and then uses image recognition algorithms to determine whether the personnel are wearing safety equipment. The judgment result is synchronously integrated with the unique identifier of the personnel to form a behavior dataset of the personnel, including the equipment worn by the personnel Ppd, the type of personnel behavior Plx, and the time of personnel behavior Psj.

4. The safety management system for a water conservancy and hydropower construction enterprise according to claim 2, characterized in that: The collected data processing unit analyzes the residence duration Ptl and the position Pwz in the position dataset and the construction difficulty of different working areas Pqy to obtain the working area risk factor Rwz of the personnel in different working areas Pqy of the personnel. By performing categorical variable encoding processing on the behavior dataset, the personnel wearing status variable BPpd and the personnel behavior type variable BPlx are obtained, and integrated processing is performed to obtain a collected dataset, including the unique identifier Pid, the residence duration Ptl, the position Pwz, the working area Pqy, the working area risk factor Rwz, the personnel wearing status variable BPpd, the personnel behavior type variable BPlx, and the time of personnel behavior Psj; The working area risk factor Rwz is obtained through the following calculation formula: In the formula, n represents the total number of personnel, m represents the total number of different working areas, i represents the i-th personnel, j represents the j-th working area, Ptl(i, j) represents the residence duration of the i-th personnel in the j-th working area, and r(j) represents the construction difficulty of the j-th working area.

5. The safety management system for a water conservancy and hydropower construction enterprise according to claim 1, characterized in that: The risk feedback and warning module includes a risk comparison unit and a trigger unit; The risk comparison unit obtains the risk assessment result during the construction process of the personnel by comparing the safety risk assessment coefficient R(i) of the i-th personnel with the preset safety risk assessment threshold Rthe; The risk assessment result is obtained through the following comparison method: In the formula, Status(i) represents the risk assessment result of the i-th personnel; When the risk assessment result Status(i) of the i-th personnel = 1, the risk assessment result of the existence of risk is obtained, and the risk assessment result Status(i) of the i-th personnel is synchronously associated with the unique identifier Pid of the i-th personnel; When the risk assessment result Status(i) of the i-th personnel = 0, the risk assessment result of the non-existence of risk is obtained, and the risk assessment result Status(i) of the i-th personnel is synchronously associated with the unique identifier Pid of the i-th personnel.

6. The safety management system for a water conservancy and hydropower construction enterprise according to claim 5, characterized in that: The triggering unit makes a judgment to trigger a warning notification based on the risk assessment result Status(i) of the ith person. When triggering a warning notification, it sends a warning notification to the communication device worn by the ith person by extracting the unique identifier Pid of the ith person, prompting that the personal wearing equipment Ppd, the personal behavior type Plx, and the personal behavior time Psj of the ith person are abnormal, and leaving the current working area to sort out and debug the safety equipment before entering the current working area again.

7. The safety management system for a water conservancy and hydropower construction enterprise according to claim 6, characterized in that: The triggering of the warning notification is specifically carried out in the following way: When the risk assessment result Status(i) of the ith person = 1, it is determined to trigger a warning notification for the ith person. At the same time, the number of times of the risk assessment result Status(i) associated with the cumulative unique identifier Pid during the working period is counted. When it exceeds 3 times, the unique identifier Pid is sent to the relevant safety management department for warning notification processing; When the risk assessment result Status(i) of the ith person = 0, it is determined not to trigger a warning notification for the ith person. At the same time, the number of times of the risk assessment result Status(i) associated with the cumulative unique identifier Pid during the working period is initialized.

8. A safety management system for water conservancy and hydropower construction enterprises according to claim 5, characterized in that: The suggestion generation module generates a construction worker's construction operation safety suggestion notification plan according to the safety risk assessment coefficient R and the risk assessment result, including filling the suggestions for wearing safety equipment, suggestions for inspecting the construction environment, contacting the safety person in charge to confirm the work process content, the safety risk assessment coefficient R, the risk assessment result, and the unique identifier Pid of the person into a preset notification template to generate a construction operation safety suggestion notification plan, and synchronously sending it to the communication device worn by the person by using relevant Internet methods according to the content of the construction operation safety suggestion notification plan to prompt the relevant construction workers.

Images