Large-scale enterprise safety management system based on system construction funnel model

Abstract

The invention discloses a large-scale enterprise safety management system based on a system construction funnel model, and relates to the technical field of safety management.The large-scale enterprise safety management system based on the system construction funnel model is characterized in that a delay coefficient is obtained by obtaining delay information of data transmission in the data transmission process of each stage in the large-scale enterprise safety management system based on the system construction funnel model; acquiring missing information of data transmission to obtain a missing coefficient; acquiring fluctuation information of data transmission to obtain a fluctuation coefficient; obtaining a transmission disqualification coefficient according to a delay coefficient, a leakage coefficient and a fluctuation coefficient in the data transmission process of each stage, judging whether to stop data transmission according to the transmission disqualification coefficients among all stages, and correspondingly remodifying and maintaining a system to construct a funnel model. In a large-scale enterprise safety management system based on a system construction funnel model, whether data transmission between stages goes wrong or not can be judged in time, processing measures can be taken in time, and a series of negative effects on safety management of an enterprise are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of safety management, and in particular to a large-scale enterprise safety management system based on a system construction funnel model. Background Art

[0002] The system construction funnel model is a systematic method used to guide enterprises to ensure that each link is carried out in an orderly and scientific manner when building and optimizing the management system. Through the metaphor of "funnel", the model emphasizes the progressive and gradual refinement from the overall top-level design to the specific implementation and optimization. The process of the model generally includes five main stages: First, in the top-level design stage, the strategic goals, core principles and management framework of the system are clarified to lay the foundation for subsequent construction. Then, in the system formulation stage, the abstract management goals are refined into highly operational rules and regulations and process standards. Then, enter the execution and implementation stage, put the formulated system into practice, and ensure the implementation of the system through training, equipment management, operating specifications and other means. The fourth stage is monitoring and evaluation, through continuous monitoring and regular audits, to discover problems and potential risks. Finally, enter the feedback and improvement stage, and continuously optimize and improve the management system based on the evaluation feedback to form a closed-loop continuous improvement process. This model helps enterprises to systematically and scientifically promote the construction of various management systems, and ensure that they can adapt to business needs and changes in the external environment in the long term;

[0003] In the large-scale enterprise security management system based on the system construction funnel model, data transmission between various stages is crucial, because the decision-making and execution at each level rely on accurate and timely data. If problems occur during the data transmission process, if the current large-scale enterprise security management system based on the system construction funnel model is still used, it may have a series of negative impacts on the enterprise's security management. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problem and to provide a large-scale enterprise safety management system based on the system construction funnel model.

[0005] The present invention proposes a large-scale enterprise safety management system based on a system construction funnel model, the system comprising:

[0006] Delay module: obtains the delay information of data transmission in each stage of data transmission in the large-scale enterprise security management system based on the system construction funnel model, and obtains the delay coefficient according to the delay information of data transmission;

[0007] Missing module: obtains missing information of data transmission in each stage of data transmission, and obtains missing coefficient according to the missing information of data transmission;

[0008] Fluctuation module: obtains the fluctuation information of data transmission in each stage of data transmission, and obtains the fluctuation coefficient according to the fluctuation information of data transmission;

[0009] Management module: Obtain the transmission failure coefficient according to the delay coefficient, omission coefficient and fluctuation coefficient in each stage of data transmission, and determine whether to stop data transmission according to the transmission failure coefficient between all stages, and accordingly re-modify and maintain the system construction funnel model.

[0010] Optionally, obtaining the delay coefficient according to the delay information of data transmission includes:

[0011] In the process of receiving data transmission of another stage at each stage, the timestamp of each received data is recorded as the actual receiving timestamp, and the data delay time is obtained by the difference between the actual receiving timestamp and the preset receiving timestamp, and the timestamps of all the received data are sequenced based on time to obtain the delay time sequence;

[0012] Label the data in the delayed time series as w , w represents the number of the delay time series, w = 1, 2, 3, 4, ..., f, f is a positive integer;

[0013] Calculate the data A in the delayed time series 延 w The average The calculation formula is:

[0014]

[0015] The average The delay coefficient is calculated by the preset expected maximum delay time. The calculation formula is: Where WS is the delay coefficient, and Wh is the preset expected maximum delay time.

[0016] Optionally, obtaining the missing coefficient according to missing information of data transmission includes:

[0017] In the process of receiving data from another stage at each stage, the data received at the receiving stage is recorded and marked as S 接 g , g represents the number of received data, g = 1, 2, 3, 4, ..., n, n is the number of numbers and is a positive integer;

[0018] In the process of receiving data transmission from another stage at each stage, the data sent in the sending stage is recorded and marked as S 发 f, f represents the number of data sent, f = 1, 2, 3, 4, ..., l, l is the number of numbers and is a positive integer;

[0019] Calculate the missing coefficient, the calculation formula is: UY = ln (n / l + 1), where UY is the missing coefficient.

[0020] Optionally, obtaining the fluctuation coefficient according to the fluctuation information of the data transmission includes:

[0021] In the process of receiving data transmission of another stage in each stage, the total number of data successfully transmitted bn and the total number of data transmitted bv are obtained, and the data transmission success rate is calculated. The calculation formula is: FG = bn / bv, where FG is the data transmission success rate;

[0022] In the process of receiving the data transmission of another stage at each stage, the number of retransmissions of each data is obtained, and the number of retransmissions of all data is added up to obtain the total number of retransmissions;

[0023] The fluctuation coefficient is obtained based on the data transmission success rate and the total number of retransmissions. The calculation formula is:

[0024]

[0025] Wherein, Mgh is the fluctuation coefficient, Wq and DF are the data transmission success rate and the total number of retransmissions, respectively, and a1 and a2 are the preset weight coefficients of the data transmission success rate and the total number of retransmissions, respectively.

[0026] Optionally, the transmission failure coefficient obtained according to the delay coefficient, the omission coefficient and the fluctuation coefficient in each stage of data transmission process includes:

[0027]

[0028] Wherein, Qer is the transmission unqualified coefficient, WS, UY, Mgh are respectively the delay coefficient, omission coefficient and fluctuation coefficient after normalization, c1, c2, c3 are respectively the preset proportional coefficients of the delay coefficient, omission coefficient and fluctuation coefficient after normalization, and c1, c2, c3 are all greater than 0.

[0029] Optionally, judging whether to stop data transmission according to the transmission failure coefficient between all stages, and correspondingly re-modifying and maintaining the system construction funnel model includes:

[0030] Compare the transmission failure coefficient of data between all stages during the transmission process with the preset transmission failure coefficient threshold. If the transmission failure coefficient of data between any two stages during the transmission process is not less than the preset transmission failure coefficient threshold, stop the data transmission between the large enterprise safety management systems based on the system construction funnel model, and modify and maintain the system construction funnel model accordingly.

[0031] If the transmission failure coefficient of data between any two stages during the transmission process is less than the preset transmission failure coefficient threshold, the data transmission between the large enterprise security management systems based on the system construction funnel model will not be stopped, and there is no need to modify and maintain the system construction funnel model again.

[0032] Beneficial effects of the present invention:

[0033] The present invention proposes a large-scale enterprise security management system based on a system construction funnel model. In the large-scale enterprise security management system based on the system construction funnel model, the delay information of data transmission is obtained to obtain the delay coefficient in each stage of data transmission; the omission information of data transmission is obtained to obtain the omission coefficient; the fluctuation information of data transmission is obtained to obtain the fluctuation coefficient; and the transmission unqualified coefficient is obtained according to the delay coefficient, omission coefficient and fluctuation coefficient in each stage of data transmission. It is judged whether to stop data transmission according to the transmission unqualified coefficient between all stages, and the system construction funnel model is revised and maintained accordingly. In this way, in the large-scale enterprise security management system based on the system construction funnel model, it is possible to timely judge whether there is a problem with the data transmission between each stage, and take timely treatment measures to reduce a series of negative impacts on the security management of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Figure 1 This is a framework diagram of a large enterprise safety management system based on the system construction funnel model. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0038] The embodiment of the present invention provides a large-scale enterprise security management system based on the system construction funnel model. Figure 1 , Figure 1 The framework diagram of a large enterprise security management system based on the system construction funnel model provided by the embodiment of the present invention. The system includes the following steps:

[0039] Delay module: obtains the delay information of data transmission in each stage of data transmission in the large-scale enterprise security management system based on the system construction funnel model, and obtains the delay coefficient according to the delay information of data transmission;

[0040] Missing module: obtains missing information of data transmission in each stage of data transmission, and obtains missing coefficient according to the missing information of data transmission;

[0041] Fluctuation module: obtains the fluctuation information of data transmission in each stage of data transmission, and obtains the fluctuation coefficient according to the fluctuation information of data transmission;

[0042] Management module: Obtain the transmission failure coefficient according to the delay coefficient, omission coefficient and fluctuation coefficient in each stage of data transmission, and determine whether to stop data transmission according to the transmission failure coefficient between all stages, and accordingly re-modify and maintain the system construction funnel model.

[0043] Based on the large-scale enterprise security management system based on the system construction funnel model provided by the embodiment of the present invention, through the above-mentioned method, in the large-scale enterprise security management system based on the system construction funnel model, it is possible to timely judge whether there is a problem with the data transmission between each stage, and take timely processing measures to reduce a series of negative impacts on the enterprise's security management.

[0044] It should be noted that in the large-scale enterprise safety management system based on the system construction funnel model, the data transmission between each stage can include a variety of key information. For example, real-time data monitored by sensors, such as equipment status information such as temperature, pressure, vibration, safety alarm data, network traffic monitoring logs, and production progress reports and emergency response instructions from various departments. These data can help management to understand the operation status of the enterprise in real time, identify potential safety hazards, and respond quickly to emergencies. By ensuring the timely and accurate transmission of these data, it can effectively support the decision-making and execution of the overall safety management of the enterprise and prevent the occurrence and spread of accidents.

[0045] In one embodiment, obtaining the delay coefficient according to the delay information of data transmission includes:

[0046] In the process of receiving data transmission of another stage at each stage, the timestamp of each received data is recorded as the actual receiving timestamp, and the data delay time is obtained by the difference between the actual receiving timestamp and the preset receiving timestamp, and the timestamps of all the received data are sequenced based on time to obtain the delay time sequence;

[0047] Label the data in the delayed time series as A 延 w , w represents the number of the delay time series, w = 1, 2, 3, 4, ..., f, f is a positive integer;

[0048] Calculate the data A in the delayed time series 延 w The average The calculation formula is:

[0049]

[0050] The average The delay coefficient is calculated by the preset expected maximum delay time. The calculation formula is: Where WS is the delay coefficient, and Wh is the preset expected maximum delay time.

[0051] It should be noted that the preset expected maximum delay time and the preset receiving timestamp are set by professionals based on actual circumstances, and are not specifically limited or elaborated upon; in addition, during the process of each stage receiving data transmission from another stage, the timestamp of each received data can be directly obtained through the record log in the current large-scale enterprise security management system based on the system construction funnel model, or other acquisition methods, which are not specifically limited or elaborated upon.

[0052] It should be noted that the larger the delay coefficient, the greater the possibility of problems in the data transmission process at the corresponding stage in the large-scale enterprise safety management system based on the system construction funnel model. If the current large-scale enterprise safety management system based on the system construction funnel model is still used, it may have a series of negative effects on the enterprise's safety management. The reason is that the larger the delay coefficient, the higher the possibility of problems in the data transmission process in the large-scale enterprise safety management system based on the system construction funnel model, which means that the information flow between the various stages becomes unstable and unreliable. Specifically, if the delay time continues to exceed the preset expected value, the executive layer may make decisions in the absence of timely and accurate data, which will lead to the implementation of safety measures being out of touch with the actual risk situation. Such a mismatch will not only affect the effectiveness of safety management, but may also lead to the failure to identify and deal with potential safety hazards in a timely manner, thereby increasing the risk of accidents. In addition, delays may also trigger information islands between departments, resulting in insufficient coordination and waste of resources, making enterprises slow to respond to security incidents and reducing their overall response capabilities. In summary, a high latency factor indicates that there are significant risks in the security management system. Enterprises need to continuously monitor and optimize the delay of data transmission during operations to maintain the effectiveness and reliability of security management.

[0053] In one embodiment, obtaining the missing coefficient according to the missing information of the data transmission includes:

[0054] In the process of receiving data from another stage at each stage, the data received at the receiving stage is recorded and marked as S 接 g , g represents the number of received data, g = 1, 2, 3, 4, ..., n, n is the number of numbers and is a positive integer;

[0055] In the process of receiving data transmission from another stage at each stage, the data sent in the sending stage is recorded and marked as S 发 f , f represents the number of data sent, f = 1, 2, 3, 4, ..., l, l is the number of numbers and is a positive integer;

[0056] Calculate the missing coefficient, the calculation formula is: UY = ln (n / l + 1), where UY is the missing coefficient.

[0057] It should be noted that in the process of receiving data transmission from another stage at each stage, the data received in the receiving stage and the data sent in the sending stage can be directly obtained through the record log in the current large-scale enterprise security management system based on the system construction funnel model. It can be other acquisition methods, which are not limited or elaborated on.

[0058] It should be noted that the larger the missing coefficient, the greater the possibility of problems in the data transmission process at the corresponding stage in the large-scale enterprise safety management system based on the system construction funnel model. If the current large-scale enterprise safety management system based on the system construction funnel model is still used, it may have a series of negative effects on the enterprise's safety management. The reason is that the larger the missing coefficient, the greater the data missing problem in the data transmission process at the corresponding stage in the large-scale enterprise safety management system based on the system construction funnel model, which means that there is an obvious inconsistency and gap between the data received in the receiving stage and the data sent in the sending stage; specifically, when data missing occurs frequently, the executive layer may not be able to obtain comprehensive and accurate information, thus affecting the comprehensive assessment and analysis of the security situation. This lack of information will not only lead to wrong decisions, but also may cause important safety warnings and risk signals to fail to be identified and responded to in a timely manner, thereby increasing the risk of safety accidents. In addition, data missing may also make collaboration between departments more difficult, hinder information sharing, form information islands, and reduce the efficiency of the overall safety management system. In this case, the company's ability to respond to security threats is significantly weakened, which may eventually lead to significant economic losses and reputation damage. Therefore, continuous monitoring and reduction of the gap factor are essential to ensure the stability and effectiveness of the safety management system.

[0059] In one embodiment, obtaining the fluctuation coefficient according to the fluctuation information of data transmission includes:

[0060] In the process of receiving data transmission of another stage in each stage, the total number of data successfully transmitted bn and the total number of data transmitted bv are obtained, and the data transmission success rate is calculated. The calculation formula is: FG = bn / bv, where FG is the data transmission success rate;

[0061] In the process of receiving the data transmission of another stage at each stage, the number of retransmissions of each data is obtained, and the number of retransmissions of all data is added up to obtain the total number of retransmissions;

[0062] The fluctuation coefficient is obtained based on the data transmission success rate and the total number of retransmissions. The calculation formula is:

[0063]

[0064] Wherein, Mgh is the fluctuation coefficient, Wq and DF are the data transmission success rate and the total number of retransmissions, respectively, and a1 and a2 are the preset weight coefficients of the data transmission success rate and the total number of retransmissions, respectively.

[0065] It should be noted that a1 and a2 are set by professionals according to actual conditions. Generally, the sum of a1 and a2 is 1. For example, a1 and a2 can be 0.5 and 0.5 respectively, or other numbers, which are not specifically limited.

[0066] It should be noted that in the process of receiving data transmission from another stage at each stage, the total number of data successfully transmitted, the total number of data transmitted in total, and the number of data retransmissions can all be directly obtained through the record logs in the current large-scale enterprise security management system based on the system construction funnel model. It can be other acquisition methods, which are not limited or elaborated on.

[0067] It should be noted that the larger the fluctuation coefficient, the greater the possibility of problems in the data transmission process at the corresponding stage in the large-scale enterprise security management system based on the system construction funnel model. If the current large-scale enterprise security management system based on the system construction funnel model is still used, it may have a series of negative effects on the enterprise's security management. The reason is that, specifically, if there are frequent fluctuations in the data transmission process, the transmission efficiency will decrease, which may cause delays, loss or frequent repeated transmission of key data, seriously affecting the accuracy and timeliness of information. In security management, stable communication and data transmission are essential because the executive layer relies on real-time and accurate data to make security decisions. If there are large fluctuations in data transmission, it may cause deviations in the information obtained by the executive layer, which in turn affects the accuracy of judgment and the timeliness of action. For example, in the enterprise's security monitoring system, if the data transmission fluctuates severely, some key alarm information may not be received in time due to transmission failure or delay, and the management will lose precious time when responding to emergencies and cannot take timely response measures. In addition, data fluctuations may also cause the system to frequently retransmit data, increasing the burden and operating costs of the system, wasting resources and slowing down the overall response speed. This situation is particularly serious in highly loaded systems, as frequent retransmissions may further squeeze network bandwidth, leading to greater delays and more severe fluctuations. In general, if the fluctuation coefficient continues to increase, it will not only affect the stability of data transmission, but also expose the defects of the management system in data link maintenance, transmission protocols and network infrastructure. This may cause enterprises to show slow response, improper decision-making or even complete failure when dealing with security risks. Therefore, it is very important to continuously monitor and control the fluctuation coefficient. By optimizing the success rate of data transmission, reducing the number of retransmissions, and enhancing the stability of the network infrastructure, the fluctuation coefficient can be effectively reduced, ensuring the reliability and efficiency of the enterprise's security management system, thereby ensuring the safety and stable operation of the enterprise at critical moments.

[0068] In one embodiment, obtaining the transmission failure coefficient according to the delay coefficient, the omission coefficient and the fluctuation coefficient in each stage of data transmission includes:

[0069]

[0070] Wherein, Qer is the transmission unqualified coefficient, WS, UY, Mgh are respectively the delay coefficient, omission coefficient and fluctuation coefficient after normalization, c1, c2, c3 are respectively the preset proportional coefficients of the delay coefficient, omission coefficient and fluctuation coefficient after normalization, and c1, c2, c3 are all greater than 0.

[0071] It should be noted that c1, c2, and c3 are set by professionals according to actual conditions. Generally, the sum of c1, c2, and c3 is 1. For example, c1, c2, and c3 can be 0.4, 0.3, and 0.3, respectively, or other numbers without specific limitation.

[0072] It should be noted that commonly used normalization methods include Min-Max normalization, Z-Score normalization, etc.; the specific method depends on the actual situation and is not limited.

[0073] In one embodiment, judging whether to stop data transmission according to the transmission failure coefficients between all stages, and correspondingly re-modifying and maintaining the system construction funnel model includes:

[0074] Compare the transmission failure coefficient of data between all stages during the transmission process with the preset transmission failure coefficient threshold. If the transmission failure coefficient of data between any two stages during the transmission process is not less than the preset transmission failure coefficient threshold, stop the data transmission between the large enterprise safety management systems based on the system construction funnel model, and modify and maintain the system construction funnel model accordingly.

[0075] If the transmission failure coefficient of data between any two stages during the transmission process is less than the preset transmission failure coefficient threshold, the data transmission between the large enterprise security management systems based on the system construction funnel model will not be stopped, and there is no need to modify and maintain the system construction funnel model again.

[0076] It should be noted that the preset transmission failure coefficient threshold is set by professionals based on actual conditions and is not limited or elaborated on in detail.

[0077] It should be noted that in the large-scale enterprise safety management system based on the system construction funnel model, it is assumed that the data transmitted between each stage is the equipment status monitoring data. If the monitored temperature and pressure data are transmitted from the monitoring system to the control center, the transmission failure coefficient reaches 0.8, and the preset transmission failure coefficient threshold is 0.7, then the system will judge that the data transmission failure coefficient is too high, which means that the transmission quality is unstable and may cause the loss or delay of key data. Therefore, the system will automatically stop the current data transmission to prevent the propagation of erroneous information between the various stages, and at the same time trigger the re-modification and maintenance of the funnel model, such as optimizing the transmission protocol, replacing communication equipment, and increasing network bandwidth, to ensure the stability of subsequent data transmission.

[0078] On the contrary, if the transmission failure coefficient between all stages remains below 0.6, which is lower than the preset threshold of 0.7, it means that the current data transmission is overall stable and reliable, and there is no need to interrupt the transmission process or make any changes to the system construction funnel model. This can avoid unnecessary adjustments and ensure the normal operation of the enterprise security management system.

[0079] In one implementation method, through the above method, in a large-scale enterprise security management system based on the system construction funnel model, it is possible to promptly determine whether there is a problem with data transmission between various stages, and take timely processing measures to reduce a series of negative impacts on the enterprise's security management.

[0080] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A large-scale enterprise safety management system based on the system construction funnel model, characterized by: include: Delay module: obtains the delay information of data transmission in each stage of data transmission in the large-scale enterprise security management system based on the system construction funnel model, and obtains the delay coefficient according to the delay information of data transmission; Missing module: obtains missing information of data transmission in each stage of data transmission, and obtains missing coefficient according to the missing information of data transmission; Fluctuation module: obtains the fluctuation information of data transmission in each stage of data transmission, and obtains the fluctuation coefficient according to the fluctuation information of data transmission; Management module: Obtain the transmission failure coefficient according to the delay coefficient, omission coefficient and fluctuation coefficient in each stage of data transmission, and determine whether to stop data transmission according to the transmission failure coefficient between all stages, and accordingly re-modify and maintain the system construction funnel model.

2. According to the large-scale enterprise safety management system based on the system construction funnel model of claim 1, it is characterized in that: The delay coefficient obtained according to the delay information of data transmission includes: In the process of receiving data transmission of another stage at each stage, the timestamp of each received data is recorded as the actual receiving timestamp, and the data delay time is obtained by the difference between the actual receiving timestamp and the preset receiving timestamp, and the timestamps of all the received data are sequenced based on time to obtain the delay time sequence; Mark the data in the delayed time series as w , w represents the number of the delay time series, w = 1, 2, 3, 4, ..., f, f is a positive integer; Calculate the data A in the delayed time series 延 w The average The calculation formula is: The average The delay coefficient is calculated by the preset expected maximum delay time. The calculation formula is: Where WS is the delay coefficient, and Wh is the preset expected maximum delay time.

3. According to the large-scale enterprise safety management system based on the system construction funnel model of claim 1, it is characterized in that: The missing coefficients obtained based on the missing information of data transmission include: In the process of receiving data from another stage at each stage, the data received at the receiving stage is recorded and marked as S 接 g , g represents the number of received data, g = 1, 2, 3, 4, ..., n, n is the number of numbers and is a positive integer; In the process of receiving data transmission from another stage at each stage, the data sent in the sending stage is recorded and marked as S 发 f , f represents the number of data sent, f = 1, 2, 3, 4, ..., l, l is the number of numbers and is a positive integer; Calculate the missing coefficient, the calculation formula is: UY = ln (n / l + 1), where UY is the missing coefficient.

4. The large-scale enterprise safety management system based on the system construction funnel model according to claim 1 is characterized in that: The fluctuation coefficients obtained based on the fluctuation information of data transmission include: In the process of receiving data transmission of another stage in each stage, the total number of data successfully transmitted bn and the total number of data transmitted bv are obtained, and the data transmission success rate is calculated. The calculation formula is: FG = bn / bv, where FG is the data transmission success rate; In the process of receiving the data transmission of another stage at each stage, the number of retransmissions of each data is obtained, and the number of retransmissions of all data is added up to obtain the total number of retransmissions; The fluctuation coefficient is obtained based on the data transmission success rate and the total number of retransmissions. The calculation formula is: Wherein, Mgh is the fluctuation coefficient, Wq and DF are the data transmission success rate and the total number of retransmissions, respectively, and a1 and a2 are the preset weight coefficients of the data transmission success rate and the total number of retransmissions, respectively.

5. The large-scale enterprise safety management system based on the system construction funnel model according to claim 1 is characterized in that: The transmission failure coefficients obtained according to the delay coefficient, omission coefficient and fluctuation coefficient in each stage of data transmission include: Wherein, Qer is the transmission unqualified coefficient, WS, UY, Mgh are respectively the delay coefficient, omission coefficient and fluctuation coefficient after normalization, c1, c2, c3 are respectively the preset proportional coefficients of the delay coefficient, omission coefficient and fluctuation coefficient after normalization, and c1, c2, c3 are all greater than 0.

6. The large-scale enterprise safety management system based on the system construction funnel model according to claim 1 is characterized in that: Determine whether to stop data transmission based on the transmission failure coefficient between all stages, and then modify and maintain the system construction funnel model accordingly, including: Compare the transmission failure coefficient of data between all stages during the transmission process with the preset transmission failure coefficient threshold. If the transmission failure coefficient of data between any two stages during the transmission process is not less than the preset transmission failure coefficient threshold, stop the data transmission between the large enterprise safety management systems based on the system construction funnel model, and modify and maintain the system construction funnel model accordingly. If the transmission failure coefficient of data between any two stages during the transmission process is less than the preset transmission failure coefficient threshold, the data transmission between the large enterprise security management systems based on the system construction funnel model will not be stopped, and there is no need to modify and maintain the system construction funnel model again.

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