Safety management system for water conservancy and hydropower construction enterprises

Abstract

The invention discloses a safety management system for a water conservancy and hydropower construction enterprise, and relates to the technical field of water conservancy and hydropower construction management.When the system operates, position information and behavior data of workers are obtained in real time through a personnel behavior collection module, behavior specifications of the workers are quantified, and the safety of the workers is evaluated through a safety behavior scoring index S and a risk staying factor T; and a safety risk assessment coefficient R is further fitted, and when the safety risk assessment coefficient R exceeds a preset threshold value Rth, a safety early warning notification is triggered to inform related personnel of potential risks in time, so that the possibility of accidents is effectively reduced. And specific construction operation safety suggestions are provided, and workers are timely informed of execution, so that the workers can take proper safety measures according to real-time feedback, and the problems that the behaviors of the workers cannot be comprehensively monitored, timely early warning cannot be performed and effective intervention measures cannot be formulated in a traditional safety management mode are solved. And the management frequency of high-risk areas and the intervention frequency of high-risk workers are improved.

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 an important branch of the infrastructure construction industry. The construction projects involved are usually large-scale, with long construction periods and cumbersome and complex procedures. Water conservancy and hydropower projects not only include the construction of dams, spillways and generator hardware facilities, but also cover the transformation and protection of the surrounding environment of the project. Therefore, the safety management of the construction site occupies a vital position in the entire project. Especially in such large-scale projects, the safety management of construction personnel faces many challenges. How to effectively monitor and manage the safety of large and complex construction sites has become a problem that the industry needs to solve urgently.

[0003] At present, the safety management of water conservancy and hydropower construction enterprises mainly relies on manual inspections and regular safety training. Although these means can ensure safety to a certain extent, there are still obvious shortcomings. First, the construction site is usually large in scale, and workers are distributed in multiple different work areas. Traditional manual inspections are difficult to cover the behavior of all workers, and the frequency and coverage of inspections are limited, and safety hazards cannot be discovered in real time. Secondly, the existing safety management methods are often limited to static rules and regulations, and cannot dynamically monitor the real-time behavior and location of workers.

[0004] In addition, construction companies are also faced with the problem of high worker mobility. Due to the complexity of the project and the urgency of the construction period, workers are often assigned to different jobs, which makes it more difficult to manage their working status and behavior in different areas. Traditional safety management systems often lack in-depth analysis of worker behavior and cannot provide sufficient feedback information and quantitative behavior data. These factors work together to make the traditional safety management system have large loopholes and limitations in actual application, making it difficult to effectively ensure the overall safety of the construction site. 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, including 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 uses RFID and GPS devices to obtain workers' location information and behavior data in real time, and marks the personnel's unique tag information to form a collection data set;

[0008] The behavior and risk assessment module evaluates the behavior norms of personnel according to the collected data set, obtains the personnel safety behavior score index S, and then calculates the risk stay factor T of the personnel in the risk work area, and obtains the personnel safety risk assessment coefficient R 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 results of the personnel during the construction process, and triggers an early warning notification according to the risk assessment results;

[0010] The suggestion generation module generates a construction operation safety suggestion notification plan for construction personnel according to the safety risk assessment coefficient R and the risk assessment result, and simultaneously prompts relevant construction personnel according to the content of the construction operation safety suggestion notification 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 the personnel in real time through RFID and GPS devices, marks the location of the work area where the personnel is 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 of the personnel Pid, ​​the length of stay 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 image recognition sensors set up in the work area, including using RFID to confirm the identity of personnel, and when the personnel enter the work area, the camera captures the image information of the personnel, and then uses the image recognition algorithm to determine whether the personnel are wearing safety equipment, and simultaneously integrates the judgment result 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 behavior type of the personnel Plx and the behavior time of the personnel Psj.

[0014] Preferably, the acquisition data processing unit analyzes the stay time Ptl and the position Pwz in the position data set and the construction difficulty of different work areas Pqy, obtains the work area risk factor Rwz of personnel in different personnel work areas Pqy, obtains the personnel wearing state variable BPpd and the personnel behavior type variable BP1x by performing classification variable encoding processing on the behavior data set, and performs integration processing to obtain the acquisition data set, including the unique identifier Pid, ​​the stay time Ptl, the position Pwz, the work area Pqy, the work area risk factor Rwz, the personnel wearing state variable BPpd, the personnel behavior type variable BP1x and the personnel behavior time Psj;

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

[0016]

[0017] Where n represents the total number of personnel, m represents the total number of different work areas, i represents the ith personnel, j represents the jth work area, Ptl(i, j) represents the length of time the ith personnel stays in the jth work area, and r(j) represents the construction difficulty of the jth work 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 data set, obtains the personnel safety behavior score index S, and then calculates the risk stay factor T of the personnel in the risk work area;

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

[0021]

[0022] Wherein, S(i) represents the personnel safety behavior score index of the ith person, Ptl(i) represents the length of stay of the ith person, Psj(i) represents the personnel behavior time of the ith person, Tmax and Pmax represent the upper limit of the length of stay of the ith person Ptl(i) and the upper limit of the personnel behavior time of the ith person Psj(i), BPpd(i) represents the personnel wearing state variable of the ith person, BPlx(i) represents the personnel behavior type variable of the ith person, γ1 and γ2 represent adjustment coefficients, which are used to adjust the influence of the length of stay of the ith person Ptl(i) and the personnel behavior time of the ith person Psj(i) on the personnel safety behavior score index S(i) of the ith person respectively;

[0023] The risk retention factor T is obtained by the following calculation formula:

[0024]

[0025] Where T(i) represents the risk stay factor of the ith person, Rwz∈Pqy(i) represents the work area risk factor Rwz of the work area Pqy of the ith person, β1 represents the weight value of the stay time, Risk, λ1 represents the adjustment coefficient, and r represents the construction difficulty of the work area.

[0026] Preferably, the risk factor calculation unit performs fitting processing on the personnel safety behavior score index S and the risk retention factor T, obtains the personnel safety risk assessment coefficient R after fitting, and quantifies the risk of the personnel's behavior and position during the construction process;

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

[0028]

[0029] Where R(i) represents the safety risk assessment coefficient of the i-th person, and λ2 and λ3 represent adjustment coefficients.

[0030] Preferably, the risk feedback and early 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 a preset safety risk assessment threshold Rthe to obtain the risk assessment result of the person in the construction process;

[0032] The risk assessment results are obtained by comparing:

[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 is 1, the risk assessment result is obtained as a risk result, and the risk assessment result Status(i) of the i-th person is simultaneously associated with the unique identifier Pid of the i-th person;

[0036] When the risk assessment result Status(i) of the i-th person is 0, the risk assessment result is obtained as no risk result, and the risk assessment result Status(i) of the i-th person is simultaneously associated with the unique identifier Pid of the i-th person.

[0037] Preferably, the trigger unit determines and triggers a warning notification based on the risk assessment result Status(i) of the ith person. When the warning notification is triggered, the warning notification is sent to the communication device carried by the ith person by extracting the unique identification Pid of the ith person, prompting the ith person that the equipment Ppd, the behavior type Plx and the behavior time Psj are abnormal, and that the ith person should leave the current work area to organize and debug the safety equipment before entering the current work area.

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

[0039] When the risk assessment result Status(i) of the i-th person is 1, it is determined that an early warning notification is triggered for the i-th person, and the number of risk assessment results Status(i) associated with the unique identifier Pid is accumulated during the working period. When it exceeds 3 times, the unique identifier Pid is sent to the relevant safety management department for early warning notification processing;

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

[0041] Preferably, the suggestion generation module generates a construction work safety suggestion notification plan for construction personnel based on the safety risk assessment coefficient R and the risk assessment results, including filling in suggestions for wearing safety equipment, checking the construction environment, contacting the safety person in charge to confirm the workflow content, the safety risk assessment coefficient R and the risk assessment results, and the personnel's unique identification Pid into a preset notification template to generate a construction work safety suggestion notification plan, and simultaneously sending it to the communication equipment carried by the personnel using Internet-related methods according to the content of the construction work safety suggestion notification plan to prompt the relevant construction personnel.

[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 collection module obtains the workers' location information and behavior data in real time, quantifies the workers' behavior norms, and further fits the safety risk assessment coefficient R through the safety behavior scoring index S and the risk retention factor T. When it exceeds the preset threshold Rthe, it triggers a safety warning notification to promptly inform relevant personnel of potential risks, effectively reducing the possibility of accidents. It also provides specific construction safety suggestions and promptly notifies workers to implement them, thereby ensuring that workers can take appropriate safety measures based on real-time feedback, solving the problem that the traditional safety management model cannot fully monitor workers' behavior, issue timely warnings, and formulate effective intervention measures, and improves the management of high-risk areas and the frequency of intervention for high-risk workers.

[0044] (2) Through the personnel safety behavior scoring index S and risk retention factor T, the risk level of each worker in the construction process is quantified according to the personnel's behavior performance and stay time in different work areas. By accurately calculating the personnel safety behavior scoring index S, factors such as the personnel's behavior time, the wearing of safety equipment, and the type of behavior are taken into account, which can effectively reflect the personnel's safety behavior compliance. The risk retention factor T further quantifies the degree of exposure of personnel in high-risk areas based on the workers' stay time and the construction difficulty of the work area. It can identify high-risk personnel in real time and quantify risks, so that safety management shifts from traditional passive management to active prediction and intervention, greatly improving the safety control level of the construction site.

[0045] (3) The risk comparison unit compares the safety risk assessment coefficient R of each person with the preset risk threshold Rthe, accurately assesses the risk level of each person, and associates the assessment result with the person's unique identification Pid through the risk assessment result Status, ensuring that the risk status of each worker is clearly recorded. The system automatically triggers an early warning notification to remind the worker to check and adjust the safety equipment to ensure that his behavior complies with safety regulations. If the worker violates the rules multiple times, the system will further send his identification information Pid to the safety management department to take further measures to ensure timely intervention of high-risk personnel. At the same time, the system can track the risk assessment history of each worker, automatically count and accumulate risk assessment results, and improve the predictability and effectiveness of risk management. In addition, by automatically generating a construction operation safety recommendation notification plan, not only can specific safety tips be sent to workers in a timely manner, but also the construction workers' compliance with safety behavior norms can be strengthened. Such an intelligent early warning and reminder mechanism effectively reduces potential safety hazards and ensures that personnel safety management during the construction process is more comprehensively guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 The present invention is a schematic diagram of a safety management system for water conservancy and hydropower construction enterprises. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0048] Example 1

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

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

[0051] The behavior and risk assessment module evaluates the behavior norms of personnel according to the collected data set, obtains the personnel safety behavior score index S, and then calculates the risk stay factor T of the personnel in the risk work area, and obtains the personnel safety risk assessment coefficient R 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 results of the personnel during the construction process, and triggers an early warning notification according to the risk assessment results;

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

[0054] In this embodiment, the location information and behavior data of workers are obtained in real time through the personnel behavior collection module, and the location and identity of workers are accurately calibrated through RFID and GPS technology, so as to ensure that the behavior data of personnel are accurate and traceable. Next, the behavior and risk assessment module conducts in-depth analysis of the collected data, quantifies the behavior norms of workers, and further fits the safety risk assessment coefficient R through the safety behavior scoring index S and the risk retention factor T, providing a scientific basis for subsequent safety warning and intervention. Real-time monitoring is also achieved through the risk feedback and early warning module. When the preset threshold Rthe is exceeded, the safety early warning notification is triggered to inform the relevant personnel of the potential risks in a timely manner, effectively reducing the possibility of accidents. The suggestion generation module provides specific construction safety suggestions based on the evaluation results and notifies the workers to execute them in a timely manner, so as to ensure that the 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 fusion analysis of location information and behavior data, it can not only accurately track the activities of personnel, but also quantify and evaluate the safety of behavior, solving the problem that the traditional safety management model cannot fully monitor the behavior of workers, timely warn and formulate effective intervention measures. Through a comprehensive assessment based on the safety behavior scoring index S and the risk retention factor T, the safety status of workers can be grasped dynamically and in real time, and accidents can be effectively prevented, especially in work areas with greater construction difficulty, thereby improving the management of high-risk areas and the frequency of intervention on high-risk workers.

[0055] Example 2

[0056] This embodiment is explained in Example 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 collection data processing unit;

[0057] The location information collection unit collects the location information of the personnel in real time through RFID and GPS devices, marks the location of the work area where the personnel is 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 of the personnel Pid, ​​the length of stay 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 the image recognition sensor set in the work area, including using RFID to confirm the identity of the personnel. When the personnel enters the work area, the camera captures the image information of the personnel, and then uses the image recognition algorithm to determine whether the personnel are wearing safety equipment. The judgment result is simultaneously 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 behavior type of the personnel Plx and the behavior time of the personnel Psj.

[0059] The acquisition data processing unit analyzes the stay time Ptl and the position Pwz in the position data set and the construction difficulty of different work areas Pqy, obtains the work area risk factor Rwz of personnel in different personnel work areas Pqy, obtains the personnel wearing state variable BPpd and the personnel behavior type variable BPlx by performing classification variable encoding processing on the behavior data set, and performs integration processing to obtain the acquisition data set, including the unique identifier Pid, ​​the stay time Ptl, the position Pwz, the work area Pqy, the work area risk factor Rwz, the personnel wearing state variable BPpd, the personnel behavior type variable BPlx and the personnel behavior time Psj;

[0060] The personnel wearing state variable BPpd is processed by classifying variables according to the result of the personnel wearing equipment Ppd, including setting the personnel wearing state variable BPpd to 1 when the personnel wearing equipment Ppd is wearing safety equipment, and setting the personnel wearing state variable BPpd to 9 when the personnel wearing equipment Ppd is not wearing equipment;

[0061] The personnel behavior type variable BPlx is coded by classification variables according to the type of personnel behavior type Plx. When a person enters the work area, the personnel behavior type Plx is set to 9, and the setting value of the personnel wearing state variable BPpd can be accumulated after entering the work area. When the person fails to wear the equipment for many times within a fixed period, the person wearing state variable BPpd is set to 9 multiplied by the number of occurrences. When the person leaves the work area, the personnel behavior type Plx is set to 1.

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

[0063]

[0064] Where n represents the total number of personnel, m represents the total number of different work areas, i represents the ith person, j represents the jth work area, Ptl(i, j) represents the length of time the ith person stays in the jth work area, and r(j) represents the construction difficulty of the jth work area. Specifically, the construction difficulty level of the work area is marked according to the difficulty of the construction area in the construction team's design drawings.

[0065] In this embodiment, by using RFID and GPS equipment, the position data of the workers is obtained in real time, and the work area risk factor Rwz is calculated according to the construction difficulty of different work areas, which provides basic data for subsequent risk analysis and early warning. In addition, the behavior data acquisition unit monitors the wearing of workers' safety equipment in real time through image recognition technology and RFID identity confirmation, and quantifies and classifies the workers' behavior through the personnel wearing state variable BPpd and the personnel behavior type variable BP1x. In this process, the system can automatically accumulate the abnormal value of the wearing state variable BPpd, and timely discover and feedback the workers' safety behavior violations. The acquisition data processing unit dynamically evaluates the risk by analyzing the stay time Ptl and the position Pwz, combined with the construction difficulty, so as to generate a comprehensive data set, including the work area risk factor Rwz and the safety behavior data of the personnel, ensuring that in a complex construction environment, the safety risk of the workers can be accurately assessed, and potential safety hazards can be discovered in time, which not only realizes the real-time collection and quantification of the workers' behavior norms, but also provides a scientific decision-making basis for safety management through accurate position and behavior data analysis. In particular, when comprehensively evaluating the risk factors of different work areas and the behavioral norms of workers, the system can effectively identify high-risk areas and potential violations of workers, and provide early warnings to 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] Example 3

[0067] This embodiment is explained in Example 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 score index S, and then calculates the risk stay factor T of the personnel in the risk work area;

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

[0070]

[0071] Wherein, S(i) represents the personnel safety behavior score index of the ith person, Ptl(i) represents the length of stay of the ith person, Psj(i) represents the personnel behavior time of the ith person, Tmax and Pmax represent the upper limit of the length of stay of the ith person Ptl(i) and the upper limit of the personnel behavior time of the ith person Psj(i), BPpd(i) represents the personnel wearing state variable of the ith person, BPlx(i) represents the personnel behavior type variable of the ith person, γ1 and γ2 represent adjustment coefficients, which are used to adjust the influence of the length of stay of the ith person Ptl(i) and the personnel behavior time of the ith person Psj(i) on the personnel safety behavior score index S(i) of the ith person respectively;

[0072] The risk retention factor T is obtained by the following calculation formula:

[0073] T(i)=[Ptl(i) β1 *Rwz∈Pqy(i)]*(1+λ1*r(Pqy(i)));

[0074] In the formula, T(i) represents the risk stay factor of the ith person, Rwz∈Pqy(i) represents the work area risk factor Rwz of the work area Pqy of the ith person, β1 represents the weight value of the stay time, which is specifically used to adjust the influence of the stay time Ptl(i) of the ith person on the risk stay factor T(i) of the ith person, Risk, 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 ith person on the risk stay factor T(i) of the ith 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 score index S and the risk retention factor T, obtains the personnel safety risk assessment coefficient R after fitting, and quantifies the risk of the personnel's behavior and position during the construction process;

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

[0077]

[0078] Where R(i) represents the safety risk assessment coefficient of the ith person, and λ2 and λ3 represent adjustment coefficients, which are specifically used to adjust the influence of the construction difficulty r of the work area Pqy of the ith person on the safety risk assessment coefficient R and the influence of the personnel safety behavior score index S(i) of the ith person on the safety risk assessment coefficient R.

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

[0080] Example 4

[0081] This embodiment is explained in Example 3, please refer to Figure 1 ,Specifically: the risk feedback and early warning module includes a risk comparison unit and a trigger unit;

[0082] The risk comparison unit compares the safety risk assessment coefficient R(i) of the i-th person with a preset safety risk assessment threshold Rthe to obtain the risk assessment result of the person in the construction process;

[0083] The risk assessment results are obtained by comparing:

[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 is 1, the risk assessment result is obtained as a risk result, and the risk assessment result Status(i) of the i-th person is simultaneously associated with the unique identifier Pid of the i-th person;

[0087] When the risk assessment result Status(i) of the i-th person is 0, the risk assessment result is obtained as no risk result, and the risk assessment result Status(i) of the i-th person is simultaneously associated with the unique identifier Pid of the i-th person.

[0088] The trigger unit determines and triggers a warning notification based on the risk assessment result Status(i) of the ith person. When the warning notification is triggered, the trigger unit extracts the unique identifier Pid of the ith person and sends a warning notification to the communication device carried by the ith person, prompting the ith person that the equipment Ppd, the behavior type Plx and the behavior time Psj are abnormal, and that the ith person should leave the current work area to organize and debug the safety equipment before entering the current work area.

[0089] The triggering warning notification is specifically triggered in the following ways:

[0090] When the risk assessment result Status(i) of the i-th person is 1, it is determined that an early warning notification is triggered for the i-th person, and the number of risk assessment results Status(i) associated with the unique identifier Pid is accumulated during the working period. When it exceeds 3 times, the unique identifier Pid is sent to the relevant safety management department for early warning notification processing;

[0091] When the risk assessment result Status(i) of the ith person is 0, it is determined that the warning notification for the ith person is not triggered, and at the same time, the number of risk assessment results Status(i) associated with the cumulative unique identifier Pid during the working time period is initialized.

[0092] The suggestion generation module generates a construction operation safety suggestion notification plan for construction personnel based on the safety risk assessment coefficient R and the risk assessment results, including suggestions for wearing safety equipment, checking the construction environment, contacting the safety person in charge to confirm the workflow content, the safety risk assessment coefficient R and the risk assessment results, and the personnel's unique identification Pid are filled into a preset notification template to generate a construction operation safety suggestion notification plan, and simultaneously sends it to the communication equipment carried by the personnel using Internet-related methods according to the content of the construction operation safety suggestion notification plan to prompt the relevant construction personnel.

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

[0094] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that 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 by: It includes personnel behavior collection module, behavior and risk assessment module, risk feedback and early warning module and suggestion generation module; The personnel behavior collection module uses RFID and GPS devices to obtain workers' location information and behavior data in real time, and marks the personnel's unique tag information to form a collection data set; The behavior and risk assessment module evaluates the behavior norms of personnel according to the collected data set, obtains the personnel safety behavior score index S, and then calculates the risk stay factor T of the personnel in the risk work area, and obtains the personnel safety risk assessment coefficient R after fitting; 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 results of the personnel during the construction process, and triggers an early warning notification according to the risk assessment results; The suggestion generation module generates a construction operation safety suggestion notification plan for construction personnel according to the safety risk assessment coefficient R and the risk assessment result, and simultaneously prompts relevant construction personnel according to the content of the construction operation safety suggestion notification plan.

2. A safety management system for water conservancy and hydropower construction enterprises according to claim 1, characterized in that: The personnel behavior collection module includes a location information collection unit, a behavior data collection unit and a collection data processing unit; The location information collection unit collects the location information of the personnel in real time through RFID and GPS devices, marks the location of the work area where the personnel is 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 of the personnel Pid, ​​the length of stay Ptl, the location Pwz and the work area Pqy.

3. A safety management system for water conservancy and hydropower construction enterprises according to claim 2, characterized in that: The behavior data collection unit collects the behavior data of personnel in real time through the image recognition sensor set in the work area, including using RFID to confirm the identity of the personnel. When the personnel enters the work area, the camera captures the image information of the personnel, and then uses the image recognition algorithm to determine whether the personnel are wearing safety equipment. The judgment result is simultaneously 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 behavior type of the personnel Plx and the behavior time of the personnel Psj.

4. A safety management system for water conservancy and hydropower construction enterprises according to claim 2, characterized in that: The acquisition data processing unit analyzes the stay time Ptl and the position Pwz in the position data set and the construction difficulty of different work areas Pqy, obtains the work area risk factor Rwz of personnel in different personnel work areas Pqy, obtains the personnel wearing state variable BPpd and the personnel behavior type variable BPlx by performing classification variable encoding processing on the behavior data set, and performs integration processing to obtain the acquisition data set, including the unique identifier Pid, ​​the stay time Ptl, the position Pwz, the work area Pqy, the work area risk factor Rwz, the personnel wearing state variable BPpd, the personnel behavior type variable BPlx and the personnel behavior time Psj; The working area risk factor Rwz is obtained by the following calculation formula: Where n represents the total number of personnel, m represents the total number of different work areas, i represents the ith personnel, j represents the jth work area, Ptl(i, j) represents the length of time the ith personnel stays in the jth work area, and r(j) represents the construction difficulty of the jth work area.

5. A safety management system for water conservancy and hydropower construction enterprises according to claim 4, characterized in that: 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 collected data set, obtains the personnel safety behavior score index S, and then calculates the risk stay factor T of the personnel in the risk work area; The personnel safety behavior score index S is obtained by the following calculation formula: Wherein, S(i) represents the personnel safety behavior score index of the ith person, Ptl(i) represents the length of stay of the ith person, Psj(i) represents the personnel behavior time of the ith person, Tmax and Pmax represent the upper limit of the length of stay of the ith person Ptl(i) and the upper limit of the personnel behavior time of the ith person Psj(i), BPpd(i) represents the personnel wearing state variable of the ith person, BPlx(i) represents the personnel behavior type variable of the ith person, γ1 and γ2 represent adjustment coefficients, which are used to adjust the influence of the length of stay of the ith person Ptl(i) and the personnel behavior time of the ith person Psj(i) on the personnel safety behavior score index S(i) of the ith person respectively; The risk retention factor T is obtained by the following calculation formula: Where T(i) represents the risk stay factor of the ith person, Rwz∈Pqy(i) represents the work area risk factor Rwz of the work area Pqy of the ith person, β1 represents the weight value of the stay time, Risk, λ1 represents the adjustment coefficient, and r represents the construction difficulty of the work area.

6. A safety management system for water conservancy and hydropower construction enterprises according to claim 5, characterized in that: The risk factor calculation unit performs fitting processing on the personnel safety behavior score index S and the risk retention factor T, obtains the personnel safety risk assessment coefficient R after fitting, and quantifies the risk of the personnel's behavior and position during the construction process; The safety risk assessment coefficient R is obtained by the following calculation formula: Where R(i) represents the safety risk assessment coefficient of the i-th person, and λ2 and λ3 represent adjustment coefficients.

7. A safety management system for water conservancy and hydropower construction enterprises according to claim 6, characterized in that: The risk feedback and early warning module includes a risk comparison unit and a trigger unit; The risk comparison unit compares the safety risk assessment coefficient R(i) of the i-th person with a preset safety risk assessment threshold Rthe to obtain the risk assessment result of the person in the construction process; The risk assessment results are obtained by comparing: In the formula, Status(i) represents the risk assessment result of the i-th person; When the risk assessment result Status(i) of the i-th person is 1, the risk assessment result is obtained as a risk result, and the risk assessment result Status(i) of the i-th person is simultaneously associated with the unique identifier Pid of the i-th person; When the risk assessment result Status(i) of the i-th person is 0, the risk assessment result is obtained as no risk result, and the risk assessment result Status(i) of the i-th person is simultaneously associated with the unique identifier Pid of the i-th person.

8. A safety management system for water conservancy and hydropower construction enterprises according to claim 7, characterized in that: The trigger unit determines and triggers a warning notification based on the risk assessment result Status(i) of the ith person. When the warning notification is triggered, the trigger unit extracts the unique identifier Pid of the ith person and sends a warning notification to the communication device carried by the ith person, prompting the ith person that the equipment Ppd, the behavior type Plx and the behavior time Psj are abnormal, and that the ith person should leave the current work area to organize and debug the safety equipment before entering the current work area.

9. A safety management system for water conservancy and hydropower construction enterprises according to claim 8, characterized in that: The triggering warning notification is specifically triggered in the following ways: When the risk assessment result Status(i) of the i-th person is 1, it is determined that an early warning notification is triggered for the i-th person, and the number of risk assessment results Status(i) associated with the unique identifier Pid is accumulated during the working period. When it exceeds 3 times, the unique identifier Pid is sent to the relevant safety management department for early warning notification processing; When the risk assessment result Status(i) of the ith person is 0, it is determined that the warning notification for the ith person is not triggered, and at the same time, the number of risk assessment results Status(i) associated with the cumulative unique identifier Pid during the working time period is initialized.

10. A safety management system for water conservancy and hydropower construction enterprises according to claim 7, characterized in that: The suggestion generation module generates a construction operation safety suggestion notification plan for construction personnel based on the safety risk assessment coefficient R and the risk assessment results, including suggestions for wearing safety equipment, checking the construction environment, contacting the safety person in charge to confirm the workflow content, the safety risk assessment coefficient R and the risk assessment results, and the personnel's unique identification Pid are filled into a preset notification template to generate a construction operation safety suggestion notification plan, and simultaneously sends it to the communication equipment carried by the personnel using Internet-related methods according to the content of the construction operation safety suggestion notification plan to prompt the relevant construction personnel.

Images