Engineering safety risk early warning and control system based on Chatgpt thinking

Abstract

The present invention discloses an engineering safety risk early warning and control system based on Chatgpt thinking, which relates to the field of engineering safety technology, including a data acquisition module, a data processing module, a model building module, an adjustment and optimization module, a prediction and identification module, an early warning and control module, and an optimization and fusion module. The purpose of the present invention is to solve the problem that traditional engineering safety management systems are often unable to timely and effectively identify and warn safety risks, resulting in a low level of safety in engineering safety construction and unsatisfactory early warning and control effects. The present invention deeply analyzes engineering safety construction data, accurately identifies risk data therein, and formulates engineering safety risk management and control plans and standard safety operation plans according to the specific scope of risk data. Not only can it achieve timely identification of engineering safety risks, but it can also carry out timely and effective early warning and control of risks, significantly improving the overall safety of engineering safety construction and the effect of engineering safety risk early warning and control.

Description

Technical Field

[0001] The present invention relates to the field of engineering safety technology, and specifically to an engineering safety risk early warning management and control system based on ChatGPT thinking. Background Art

[0002] In the entire process of engineering safety construction, in order to ensure its smooth progress, it is necessary to carry out strict monitoring, early warning and effective management and control of engineering safety risks. This is an indispensable and important link to ensure engineering safety construction.

[0003] The Chinese patent with publication number CN109902968A discloses a real-time safety control system for main network infrastructure projects, which is used to solve the technical problems that the existing real-time safety control of main network infrastructure projects requires a lot of manpower and time and cannot follow up the project progress and control the construction quality in real time; it realizes real-time safety control of infrastructure projects from three aspects: daily safety inspection of infrastructure projects, risk assessment management and casual shooting, and further improves the control efficiency. However, the patent has the following defects:

[0004] Existing engineering safety management systems are often unable to identify and warn of safety risks in a timely and effective manner, resulting in a low safety level in engineering safety construction and unsatisfactory early warning and control effects. Summary of the invention

[0005] The purpose of the present invention is to provide an engineering safety risk early warning and control system based on ChatGPT thinking, to solve the current problems of risk identification and early warning control in the field of engineering safety, to achieve timely identification of engineering safety risks, and to provide timely and effective early warning and control of risks, thereby significantly improving the overall safety of engineering safety construction and the effect of engineering safety risk early warning and control, and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The engineering safety risk early warning and control system based on ChatGPT thinking includes:

[0008] The data collection module is used to collect historical safety accident data, safety inspection data and equipment maintenance data during the engineering safety construction process to determine the engineering safety construction data;

[0009] The data processing module is used to retrieve, convert and extract features of engineering safety construction data to determine engineering safety risk feature data;

[0010] A model building module, used to train the model architecture selected for building the ChatGPT model based on the historical data of engineering safety construction, and build the ChatGPT model;

[0011] Adjustment and optimization module, used to test, evaluate, adjust and optimize the constructed ChatGPT model to determine the best ChatGPT model;

[0012] The prediction and recognition module is used to train the engineering safety construction feature data based on the optimal ChatGPT model and identify the risk data in the engineering safety construction data;

[0013] The early warning control module is used to formulate intelligent control plans for engineering safety risks according to the risk range of risk data, and to conduct risk data and intelligent control of engineering safety risks;

[0014] The optimization and fusion module is used to optimize and integrate the actual operation data in the process of engineering safety construction with the intelligent management and control plan of engineering safety risks, and determine the standard safe operation plan in the process of engineering safety construction.

[0015] Preferably, the data acquisition module includes:

[0016] Accident collection unit, used to collect historical safety accident data during the engineering safety construction process;

[0017] Inspection collection unit, used to collect safety inspection data during the engineering safety construction process;

[0018] Maintenance collection unit, used to collect equipment maintenance data during the engineering safety construction process;

[0019] Among them, the project safety construction data is determined based on the collected historical safety accident data, safety inspection data and equipment maintenance data.

[0020] Preferably, the data acquisition module further includes:

[0021] A data transmission channel establishment module, used to establish data transmission channels between the accident collection unit, the inspection collection unit and the maintenance collection unit and the data processing module respectively;

[0022] A real-time monitoring module, used for monitoring the channel capacity occupancy rate of the data transmission channel in real time;

[0023] a target data transmission channel determination module, configured to, when the channel capacity occupancy rate reaches or exceeds a preset first occupancy rate threshold, use the data transmission channel whose channel capacity occupancy rate reaches or exceeds the preset first occupancy rate threshold as the target data transmission channel;

[0024] An auxiliary data transmission channel establishing module, used to establish an auxiliary data transmission channel corresponding to the target data transmission channel according to the channel capacity occupancy rate data information of the target data transmission channel;

[0025] A data transmission control module, used to simultaneously perform data transmission using a target data transmission channel and an auxiliary data transmission channel corresponding to the target data transmission channel;

[0026] an auxiliary data transmission channel revocation module, configured to revoke the auxiliary data transmission channel corresponding to the target data transmission channel when the sum of the channel capacity occupancy rate of the target data transmission channel and the channel capacity occupancy rate of the auxiliary data transmission channel corresponding to the target data transmission channel is lower than a preset second occupancy rate threshold;

[0027] The first occupancy rate threshold and the second occupancy rate threshold are obtained by the following formula:

[0028] ;

[0029] Among them, P 01 represents the first occupancy rate threshold; P 02 represents the second occupancy rate threshold; P m represents the capacity occupancy rate of the corresponding communication channel when the channel capacity occupancy rate reaches or exceeds the preset first occupancy rate threshold; C max Indicates the maximum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; G c Indicates the channel capacity of the data transmission channel; X c represents the capacity adjustment amount; f represents the adjustment coefficient; and the adjustment coefficient is obtained by the following formula:

[0030] ;

[0031] Wherein, n represents the number of unit times experienced during the collection process of the accident collection unit, the inspection collection unit and the maintenance collection unit, and the unit time is the same as the preset data transmission time interval corresponding to the accident collection unit, the inspection collection unit and the maintenance collection unit; C i It represents the amount of data collected by the accident collection unit, inspection collection unit and maintenance collection unit in the i-th unit time.

[0032] Preferably, the data transmission channel establishing module includes:

[0033] The channel capacity setting module is used to set the channel capacity of the data transmission channel between the accident collection unit, the inspection collection unit and the maintenance collection unit and the data processing module; wherein the channel capacity of the data transmission channel between the accident collection unit, the inspection collection unit and the maintenance collection unit and the data processing module is obtained by the following formula:

[0034] ;

[0035] Among them, Gc represents the channel capacity of the data transmission channel; n represents the number of unit times experienced during the collection process of the accident collection unit, the inspection collection unit and the maintenance collection unit, and the unit time is the same as the preset data transmission time interval corresponding to the accident collection unit, the inspection collection unit and the maintenance collection unit; C max Indicates the maximum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; C i represents the amount of data collected by the accident collection unit, inspection collection unit and maintenance collection unit per i-th unit time; X c Represents the capacity adjustment amount; wherein, the capacity adjustment amount is obtained by the following formula:

[0036] ;

[0037] Among them, C min Indicates the minimum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; C p It indicates the average amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time;

[0038] A first data transmission channel establishing module, used for establishing a first data transmission channel between the accident collection unit and the data processing module for the accident collection unit according to a preset channel capacity value;

[0039] A second data transmission channel establishing module, used for establishing a second data transmission channel between the inspection collection unit and the data processing module for the inspection collection unit according to a preset channel capacity value;

[0040] The third data transmission channel establishing module is used to establish a third data transmission channel between the maintenance collection unit and the data processing module for the maintenance collection unit according to a preset channel capacity value.

[0041] Preferably, the auxiliary data transmission channel establishment module includes:

[0042] A channel capacity occupancy rate data information acquisition module, configured to extract the channel capacity occupancy rate data information of the target data transmission channel when the channel capacity occupancy rate reaches or exceeds a preset first occupancy rate threshold;

[0043] The auxiliary data transmission channel capacity setting module is used to set the auxiliary data transmission channel capacity corresponding to the target data transmission channel using the channel capacity occupancy rate data information of the target data transmission channel; wherein the auxiliary data transmission channel capacity is obtained by the following formula:

[0044] ;

[0045] Among them, G f Indicates the capacity of the auxiliary data transmission channel; P 01 represents the occupancy value corresponding to the first occupancy threshold; G c Indicates the channel capacity of the data transmission channel; X c Indicates capacity adjustment; C maxm represents the maximum data transmission amount per unit time of the target data transmission channel during the data transmission process; h represents the auxiliary channel capacity adjustment coefficient, and the auxiliary channel capacity adjustment coefficient is obtained by the following formula:

[0046] ;

[0047] Where k represents the number of unit times experienced by the target data transmission channel; Pi represents the occupancy rate of the data transmission channel corresponding to the i-th unit time; P 01 represents a first occupancy threshold;

[0048] The auxiliary data transmission channel establishing module is used to establish an auxiliary data transmission channel corresponding to the target data transmission channel according to the capacity of the auxiliary data transmission channel.

[0049] Preferably, the data processing module includes:

[0050] A data retrieval unit, used to retrieve engineering safety construction data;

[0051] Obtain engineering safety construction data;

[0052] Based on the sequential retrieval method, the engineering safety construction data is retrieved;

[0053] Extract engineering safety construction data and perform consistency check on the extracted engineering safety construction data;

[0054] Determine consistent engineering safety construction data;

[0055] Process invalid and missing values ​​for consistent engineering safety construction data;

[0056] Filter out invalid and missing data that are of no value to engineering safety risk early warning and control contained in consistent engineering safety construction data;

[0057] Identify engineering safety construction data that is valuable for early warning and control of engineering safety risks;

[0058] A data conversion unit, used to convert the retrieved engineering safety construction data;

[0059] Obtain the retrieved engineering safety construction data that is valuable for engineering safety risk early warning and control;

[0060] Based on the model input requirements, the retrieved engineering safety construction data that is valuable for engineering safety risk early warning and control is converted;

[0061] Determine standardized engineering safety construction data;

[0062] A feature extraction unit, used for extracting features from the converted engineering safety construction data;

[0063] Obtain converted and standardized engineering safety construction data;

[0064] Based on the needs of project safety risk prediction and identification, feature extraction is performed on the converted standardized project safety construction data;

[0065] Determine the characteristic data of engineering safety construction.

[0066] Preferably, the model building module includes:

[0067] Data storage unit, used to store historical data of engineering safety construction;

[0068] Among them, the historical data of engineering safety construction is used as the training set required to build the ChatGPT model;

[0069] The architecture selection unit is used to select a suitable model architecture for building the ChatGPT model;

[0070] According to the engineering safety risk early warning and control needs based on ChatGPT thinking, and based on the historical data of engineering safety construction, select the appropriate model architecture for building the ChatGPT model;

[0071] Model training unit, used to train the selected model architecture and build the ChatGPT model;

[0072] Obtain historical data on engineering safety construction;

[0073] Get the model architecture selected for building the ChatGPT model;

[0074] According to the engineering safety risk early warning and control needs based on ChatGPT thinking;

[0075] Based on the historical data of engineering safety construction, the model architecture selected for building the ChatGPT model is trained to build the ChatGPT model.

[0076] Preferably, the adjustment and optimization module includes:

[0077] Model testing unit, used to test and evaluate the built ChatGPT model;

[0078] Get the built ChatGPT model;

[0079] Test and evaluate the constructed ChatGPT model based on a pre-set test set;

[0080] Determine the model test evaluation results;

[0081] Adjustment and optimization unit, used to adjust and optimize the constructed ChatGPT model;

[0082] Obtain model test evaluation results;

[0083] Conduct mining and analysis on the model test and evaluation results to determine the model adjustment and optimization plan;

[0084] Adjust and optimize the constructed ChatGPT model based on the model adjustment and optimization plan;

[0085] Determine the best ChatGPT model.

[0086] Preferably, the prediction and recognition module includes:

[0087] A model prediction unit is used to predict engineering safety risks based on engineering safety construction feature data;

[0088] Obtain engineering safety construction characteristic data;

[0089] Get the best ChatGPT model;

[0090] Input the engineering safety construction feature data into the best ChatGPT model, and train the engineering safety construction feature data based on the best ChatGPT model;

[0091] Generate engineering safety risk prediction results;

[0092] Risk identification unit, used to identify engineering safety risks;

[0093] Obtain engineering safety risk prediction results;

[0094] Mining and analyzing the project safety risk prediction results to determine the real reasons for the project safety risks;

[0095] Based on the real reasons for the existence of engineering safety risks, risk data in engineering safety construction data is identified.

[0096] Preferably, the early warning control module includes:

[0097] Risk early warning unit, used to provide timely early warning of engineering safety risks;

[0098] Obtain risk data from identified engineering safety construction data;

[0099] Based on risk data, timely early warning of project safety risks is provided to remind project safety construction personnel;

[0100] Intelligent management and control unit, used for intelligent management and control of engineering safety risks;

[0101] Obtain risk data from identified engineering safety construction data;

[0102] Develop intelligent management and control plans for engineering safety risks based on the risk scope of risk data;

[0103] Intelligent management and control of engineering safety risks is carried out based on the intelligent management and control solution of engineering safety risks.

[0104] Preferably, the optimization fusion module includes:

[0105] Optimization and fusion unit, used to optimize and integrate the intelligent management and control solutions for engineering safety risks;

[0106] Obtain intelligent management and control solutions for engineering safety risks;

[0107] Obtain actual operation data during the project safety construction process;

[0108] Based on the actual operation data during the engineering safety construction process, the intelligent management and control scheme of engineering safety risks is optimized, so that the actual operation data during the engineering safety construction process and the intelligent management and control scheme of engineering safety risks are integrated;

[0109] Determine the standard safety operation plan during the project safety construction process;

[0110] Standard operation unit, used to run standard safety operation plan;

[0111] Obtain standard safety operation plans during the project safety construction process;

[0112] Ensure safe operation of the project construction process based on standard safe operation plans.

[0113] Compared with the prior art, the present invention has the following beneficial effects:

[0114] The present invention determines the engineering safety construction data by collecting historical safety accident data, safety inspection data and equipment maintenance data in the process of engineering safety construction, determines the engineering safety risk feature data by searching, converting and extracting features from the engineering safety construction data, trains the engineering safety construction feature data based on the optimal ChatGPT model, identifies the risk data in the engineering safety construction data, formulates an intelligent management and control plan for engineering safety risks according to the risk range of the risk data, performs risk data and intelligent management and control on engineering safety risks, optimizes and integrates the actual operation data in the process of engineering safety construction with the intelligent management and control plan for engineering safety risks, determines the standard safe operation plan in the process of engineering safety construction, enables the engineering safety construction process to operate safely based on the standard safe operation plan, realizes timely identification of engineering safety risks, and can perform timely and effective early warning and control of risks, thereby significantly improving the overall safety of engineering safety construction and the effect of early warning and control of engineering safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0115] Figure 1 This is a module structure diagram of the engineering safety risk early warning management and control system of the present invention. DETAILED DESCRIPTION

[0116] 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.

[0117] In order to solve the existing problems of not being able to identify engineering safety risks in a timely manner, and not being able to conduct timely and effective early warning and control of engineering safety risks, resulting in low safety of engineering construction and poor early warning and control effects of engineering safety risks, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0118] The engineering safety risk early warning and control system based on ChatGPT thinking includes: data collection module, data processing module, model building module, adjustment and optimization module, prediction and identification module, early warning and control module and optimization and fusion module.

[0119] It should be noted that through the interactive communication between the data acquisition module, data processing module, model building module, adjustment and optimization module, prediction and identification module, early warning and control module and optimization and fusion module, engineering safety risks can be identified in a timely manner, and engineering safety risks can also be early warned and controlled in a timely and effective manner, thereby improving the safety of engineering construction and the effectiveness of early warning and control of engineering safety risks.

[0120] Among them, the data collection module is used to collect historical safety accident data, safety inspection data and equipment maintenance data during the engineering safety construction process to determine the engineering safety construction data;

[0121] In this embodiment, as a preferred technical solution of the present invention, the data acquisition module includes:

[0122] Accident collection unit, used to collect historical safety accident data during the engineering safety construction process;

[0123] Inspection collection unit, used to collect safety inspection data during the engineering safety construction process;

[0124] Maintenance collection unit, used to collect equipment maintenance data during the engineering safety construction process;

[0125] Among them, the project safety construction data is determined based on the collected historical safety accident data, safety inspection data and equipment maintenance data.

[0126] Among them, the data processing module is used to retrieve, convert and extract features of engineering safety construction data to determine the engineering safety construction feature data;

[0127] Specifically, the data acquisition module further includes:

[0128] A data transmission channel establishment module, used to establish data transmission channels between the accident collection unit, the inspection collection unit and the maintenance collection unit and the data processing module respectively;

[0129] A real-time monitoring module, used for monitoring the channel capacity occupancy rate of the data transmission channel in real time;

[0130] a target data transmission channel determination module, configured to, when the channel capacity occupancy rate reaches or exceeds a preset first occupancy rate threshold, use the data transmission channel whose channel capacity occupancy rate reaches or exceeds the preset first occupancy rate threshold as the target data transmission channel;

[0131] An auxiliary data transmission channel establishing module, used to establish an auxiliary data transmission channel corresponding to the target data transmission channel according to the channel capacity occupancy rate data information of the target data transmission channel;

[0132] A data transmission control module, used to simultaneously perform data transmission using a target data transmission channel and an auxiliary data transmission channel corresponding to the target data transmission channel;

[0133] an auxiliary data transmission channel revocation module, configured to revoke the auxiliary data transmission channel corresponding to the target data transmission channel when the sum of the channel capacity occupancy rate of the target data transmission channel and the channel capacity occupancy rate of the auxiliary data transmission channel corresponding to the target data transmission channel is lower than a preset second occupancy rate threshold;

[0134] The first occupancy rate threshold and the second occupancy rate threshold are obtained by the following formula:

[0135] ;

[0136] Among them, P 01 represents the first occupancy rate threshold; P 02 represents the second occupancy rate threshold; P m represents the capacity occupancy rate of the corresponding communication channel when the channel capacity occupancy rate reaches or exceeds the preset first occupancy rate threshold; C max Indicates the maximum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; G c Indicates the channel capacity of the data transmission channel; X c represents the capacity adjustment amount; f represents the adjustment coefficient; and the adjustment coefficient is obtained by the following formula:

[0137] ;

[0138] Wherein, n represents the number of unit times experienced during the collection process of the accident collection unit, the inspection collection unit and the maintenance collection unit, and the unit time is the same as the preset data transmission time interval corresponding to the accident collection unit, the inspection collection unit and the maintenance collection unit; C i It represents the amount of data collected by the accident collection unit, inspection collection unit and maintenance collection unit in the i-th unit time.

[0139] The technical effect of the above technical solution is: by using the target data transmission channel and its corresponding auxiliary data transmission channel for data transmission simultaneously through the "data transmission control module", the efficiency and speed of data transmission can be greatly improved. In the case of limited data transmission channel capacity, this parallel transmission method can effectively reduce data transmission delays and congestion.

[0140] The "real-time monitoring module" monitors the channel capacity occupancy rate of the data transmission channel in real time, and combined with the "target data transmission channel determination module" and the "auxiliary data transmission channel establishment module", the data transmission channel can be dynamically managed in real time. When the capacity occupancy rate of a channel approaches or exceeds the preset threshold, the system will automatically establish an auxiliary channel to share the data transmission pressure, thereby achieving load balancing.

[0141] The first occupancy threshold (P01) and the second occupancy threshold (P02) in the technical solution are not fixed, but are dynamically calculated based on real-time data and historical data collected by the collection unit. This dynamic adjustment of the threshold can ensure that the system can maintain the best working state under different workloads.

[0142] Through the "auxiliary data transmission channel revocation module", when the sum of the capacity occupancy rates of the target data transmission channel and the auxiliary channel is lower than the preset second occupancy rate threshold, the auxiliary channel will be revoked, thereby avoiding waste of resources. This mechanism of dynamically allocating and revoking resources based on actual needs optimizes the resource utilization of the entire system.

[0143] The entire technical solution enables the data transmission channel to always remain in a relatively stable state through real-time monitoring, dynamic management and flexible adjustment, thereby improving the stability and reliability of the entire system. At the same time, through parallel transmission and load balancing, the risk of system crash or data loss caused by data transmission problems is also reduced.

[0144] Specifically, the data transmission channel establishment module includes:

[0145] The channel capacity setting module is used to set the channel capacity of the data transmission channel between the accident collection unit, the inspection collection unit and the maintenance collection unit and the data processing module; wherein the channel capacity of the data transmission channel between the accident collection unit, the inspection collection unit and the maintenance collection unit and the data processing module is obtained by the following formula:

[0146] ;

[0147] Among them, G c represents the channel capacity of the data transmission channel; n represents the number of unit times experienced during the collection process of the accident collection unit, the inspection collection unit and the maintenance collection unit, and the unit time is the same as the preset data transmission time interval corresponding to the accident collection unit, the inspection collection unit and the maintenance collection unit; C max Indicates the maximum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; C i represents the amount of data collected by the accident collection unit, inspection collection unit and maintenance collection unit per i-th unit time; X c Represents the capacity adjustment amount; wherein, the capacity adjustment amount is obtained by the following formula:

[0148] ;

[0149] Among them, C minIndicates the minimum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; C p It indicates the average amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time;

[0150] A first data transmission channel establishing module, used for establishing a first data transmission channel between the accident collection unit and the data processing module for the accident collection unit according to a preset channel capacity value;

[0151] A second data transmission channel establishing module, used for establishing a second data transmission channel between the inspection collection unit and the data processing module for the inspection collection unit according to a preset channel capacity value;

[0152] The third data transmission channel establishing module is used to establish a third data transmission channel between the maintenance collection unit and the data processing module for the maintenance collection unit according to a preset channel capacity value.

[0153] The technical effect of the above technical solution is: through the "channel capacity setting module", the channel capacity Gc of the data transmission channel can be accurately calculated based on the historical collection data (such as the maximum data volume Cmax, the minimum data volume Cmin, the average data volume Cp and the data volume Ci collected per unit time) and the capacity adjustment amount Xc. This capacity setting method based on actual collection data can ensure that the data transmission channel will not cause data congestion or loss due to too small capacity, nor will it cause resource waste due to too large capacity.

[0154] This technical solution establishes independent data transmission channels (i.e., the first, second, and third data transmission channels) for the accident collection unit, inspection collection unit, and maintenance collection unit. This design ensures that the data transmission of different collection units does not interfere with each other, thereby improving the stability and reliability of data transmission.

[0155] Adjustable channel capacity: The channel capacity can not only be accurately calculated based on historical collection data, but also be flexibly adjusted by introducing the capacity adjustment amount Xc. This enables the data transmission channel to adapt to changes in different workloads and data collection requirements, improving the flexibility and adaptability of the system.

[0156] Through precise channel capacity setting and independent transmission channel design, this technical solution can ensure efficient utilization of data transmission channels. This helps reduce delays and congestion during data transmission and improves the efficiency and speed of data transmission.

[0157] Since the technical solution is based on modular design, new data acquisition units and corresponding data transmission channels can be easily expanded, which helps to meet the needs of future system expansion and upgrades.

[0158] In summary, this technical solution achieves efficient, stable and reliable data transmission through precise channel capacity setting, independent transmission channel design and adjustable channel capacity, improves the flexibility and adaptability of the system, and also facilitates the expansion and upgrade of the system.

[0159] Specifically, the auxiliary data transmission channel establishment module includes:

[0160] A channel capacity occupancy rate data information acquisition module, configured to extract the channel capacity occupancy rate data information of the target data transmission channel when the channel capacity occupancy rate reaches or exceeds a preset first occupancy rate threshold;

[0161] The auxiliary data transmission channel capacity setting module is used to set the auxiliary data transmission channel capacity corresponding to the target data transmission channel using the channel capacity occupancy rate data information of the target data transmission channel; wherein the auxiliary data transmission channel capacity is obtained by the following formula:

[0162] ;

[0163] Among them, G f Indicates the capacity of the auxiliary data transmission channel; P 01 represents the occupancy value corresponding to the first occupancy threshold; G c Indicates the channel capacity of the data transmission channel; X c Indicates capacity adjustment; C maxm represents the maximum data transmission amount per unit time of the target data transmission channel during the data transmission process; h represents the auxiliary channel capacity adjustment coefficient, and the auxiliary channel capacity adjustment coefficient is obtained by the following formula:

[0164] ;

[0165] Where k represents the number of unit times experienced by the target data transmission channel; Pi represents the occupancy rate of the data transmission channel corresponding to the i-th unit time; P 01 represents a first occupancy threshold;

[0166] The auxiliary data transmission channel establishing module is used to establish an auxiliary data transmission channel corresponding to the target data transmission channel according to the capacity of the auxiliary data transmission channel.

[0167] The technical effect of the above technical solution is: when the channel capacity occupancy rate of the target data transmission channel reaches or exceeds the preset first occupancy rate threshold, the solution can respond quickly and extract the capacity occupancy rate data information of the target channel through the "channel capacity occupancy rate data information acquisition module". The capacity of the auxiliary data transmission channel is dynamically set through the "auxiliary data transmission channel capacity setting module" to achieve load balancing and avoid congestion and delay in data transmission. The "auxiliary channel capacity adjustment coefficient" h is introduced to take into account the average occupancy rate change of the target channel in the past period of time. This allows the system to flexibly adjust the capacity of the auxiliary channel according to the actual operation of the target channel and improve the efficiency of resource utilization. By establishing an auxiliary data transmission channel, the data transmission pressure can be shared when the capacity of the target channel is close to saturation, ensuring the continuity and stability of data transmission. At the same time, since the capacity of the auxiliary channel is dynamically calculated according to the actual operation of the target channel, it can ensure that the auxiliary channel can provide sufficient transmission capacity when needed, improving the efficiency and reliability of data transmission. The solution adopts a modular design, and each module is relatively independent, which is convenient for system expansion and maintenance. When it is necessary to add a new data acquisition unit or adjust the data transmission strategy, it is only necessary to modify the corresponding module without making large-scale changes to the entire system.

[0168] In summary, this technical solution provides an efficient, stable and reliable solution for the data transmission system through dynamic response, accurate auxiliary channel capacity calculation, flexible auxiliary channel capacity adjustment and improved data transmission efficiency and reliability.

[0169] In this embodiment, as a preferred technical solution of the present invention, the data processing module includes:

[0170] A data retrieval unit, used to retrieve engineering safety construction data;

[0171] Obtain engineering safety construction data;

[0172] Based on the sequential retrieval method, the engineering safety construction data is retrieved;

[0173] Extract engineering safety construction data and perform consistency check on the extracted engineering safety construction data;

[0174] Determine consistent engineering safety construction data;

[0175] Process invalid and missing values ​​for consistent engineering safety construction data;

[0176] Filter out invalid and missing data that are of no value to engineering safety risk early warning and control contained in consistent engineering safety construction data;

[0177] Identify engineering safety construction data that is valuable for early warning and control of engineering safety risks;

[0178] A data conversion unit, used to convert the retrieved engineering safety construction data;

[0179] Obtain the retrieved engineering safety construction data that is valuable for engineering safety risk early warning and control;

[0180] Based on the model input requirements, the retrieved engineering safety construction data that is valuable for engineering safety risk early warning and control is converted;

[0181] Determine standardized engineering safety construction data;

[0182] A feature extraction unit, used for extracting features from the converted engineering safety construction data;

[0183] Obtain converted and standardized engineering safety construction data;

[0184] Based on the needs of project safety risk prediction and identification, feature extraction is performed on the converted standardized project safety construction data;

[0185] Determine the characteristic data of engineering safety construction.

[0186] Among them, the model building module is used to train the model architecture selected for building the ChatGPT model based on the historical data of engineering safety construction, and build the ChatGPT model;

[0187] In this embodiment, as a preferred technical solution of the present invention, the model building module includes:

[0188] Data storage unit, used to store historical data of engineering safety construction;

[0189] Among them, the historical data of engineering safety construction is used as the training set required to build the ChatGPT model;

[0190] The architecture selection unit is used to select a suitable model architecture for building the ChatGPT model;

[0191] According to the engineering safety risk early warning and control needs based on ChatGPT thinking, and based on the historical data of engineering safety construction, select the appropriate model architecture for building the ChatGPT model;

[0192] Model training unit, used to train the selected model architecture and build the ChatGPT model;

[0193] Obtain historical data on engineering safety construction;

[0194] Get the model architecture selected for building the ChatGPT model;

[0195] According to the engineering safety risk early warning and control needs based on ChatGPT thinking;

[0196] Based on the historical data of engineering safety construction, the model architecture selected for building the ChatGPT model is trained to build the ChatGPT model.

[0197] Among them, the adjustment and optimization module is used to test, evaluate, adjust and optimize the constructed ChatGPT model to determine the best ChatGPT model;

[0198] In this embodiment, as a preferred technical solution of the present invention, the adjustment and optimization module includes:

[0199] Model testing unit, used to test and evaluate the built ChatGPT model;

[0200] Get the built ChatGPT model;

[0201] Test and evaluate the constructed ChatGPT model based on a pre-set test set;

[0202] Determine the model test evaluation results;

[0203] Adjustment and optimization unit, used to adjust and optimize the constructed ChatGPT model;

[0204] Obtain model test evaluation results;

[0205] Conduct mining and analysis on the model test and evaluation results to determine the model adjustment and optimization plan;

[0206] Adjust and optimize the constructed ChatGPT model based on the model adjustment and optimization plan;

[0207] Determine the best ChatGPT model.

[0208] Among them, the prediction and recognition module is used to train the engineering safety construction feature data based on the optimal ChatGPT model to identify the risk data in the engineering safety construction data;

[0209] In this embodiment, as a preferred technical solution of the present invention, the prediction and recognition module includes:

[0210] A model prediction unit is used to predict engineering safety risks based on engineering safety construction feature data;

[0211] Obtain engineering safety construction characteristic data;

[0212] Get the best ChatGPT model;

[0213] Input the engineering safety construction feature data into the best ChatGPT model, and train the engineering safety construction feature data based on the best ChatGPT model;

[0214] Generate engineering safety risk prediction results;

[0215] Risk identification unit, used to identify engineering safety risks;

[0216] Obtain engineering safety risk prediction results;

[0217] Mining and analyzing the project safety risk prediction results to determine the real reasons for the project safety risks;

[0218] Based on the real reasons for the existence of engineering safety risks, risk data in engineering safety construction data is identified.

[0219] Among them, the early warning control module is used to formulate an intelligent control plan for engineering safety risks according to the risk range of risk data, and to conduct risk data and intelligent control of engineering safety risks;

[0220] In this embodiment, as a preferred technical solution of the present invention, the early warning control module includes:

[0221] Risk early warning unit, used to provide timely early warning of engineering safety risks;

[0222] Obtain risk data from identified engineering safety construction data;

[0223] Based on risk data, timely early warning of project safety risks is provided to remind project safety construction personnel;

[0224] Intelligent management and control unit, used for intelligent management and control of engineering safety risks;

[0225] Obtain risk data from identified engineering safety construction data;

[0226] Develop intelligent management and control plans for engineering safety risks based on the risk scope of risk data;

[0227] Intelligent management and control of engineering safety risks is carried out based on the intelligent management and control solution of engineering safety risks.

[0228] Among them, the optimization and fusion module is used to optimize and integrate the actual operation data in the process of engineering safety construction with the intelligent management and control plan of engineering safety risks, and determine the standard safe operation plan in the process of engineering safety construction.

[0229] In this embodiment, as a preferred technical solution of the present invention, the optimization fusion module includes:

[0230] Optimization and fusion unit, used to optimize and integrate the intelligent management and control solutions for engineering safety risks;

[0231] Obtain intelligent management and control solutions for engineering safety risks;

[0232] Obtain actual operation data during the project safety construction process;

[0233] Based on the actual operation data during the engineering safety construction process, the intelligent management and control scheme of engineering safety risks is optimized, so that the actual operation data during the engineering safety construction process and the intelligent management and control scheme of engineering safety risks are integrated;

[0234] Determine the standard safety operation plan during the project safety construction process;

[0235] Standard operation unit, used to run standard safety operation plan;

[0236] Obtain standard safety operation plans during the project safety construction process;

[0237] Ensure safe operation of the project construction process based on standard safe operation plans.

[0238] Therefore, by collecting historical safety accident data, safety inspection data and equipment maintenance data in the process of engineering safety construction, the engineering safety construction data is determined, and the engineering safety construction feature data is determined by retrieving, converting and extracting features from the engineering safety construction data. Among them, based on the historical data of engineering safety construction, the model architecture selected for building the ChatGPT model is trained to build the ChatGPT model, and the constructed ChatGPT model is tested, evaluated, adjusted and optimized to determine the best ChatGPT model. Based on the best ChatGPT model, the engineering safety construction feature data is trained to identify the risk data in the engineering safety construction data. According to the risk range of the risk data, an intelligent management and control plan for engineering safety risks is formulated, and risk data and intelligent management and control of engineering safety risks are carried out. The actual operation data in the process of engineering safety construction is optimized and integrated with the intelligent management and control plan for engineering safety risks, and the standard safe operation plan in the process of engineering safety construction is determined. Based on the standard safe operation plan, the engineering safety construction process is safely operated, and the timely identification of engineering safety risks is achieved, and the risks can be timely and effectively warned and controlled, thereby significantly improving the overall safety of engineering safety construction and the effect of engineering safety risk warning and control.

[0239] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0240] 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. The engineering safety risk early warning and control system based on ChatGPT thinking is characterized by: include: The data collection module is used to collect historical safety accident data, safety inspection data and equipment maintenance data during the engineering safety construction process to determine the engineering safety construction data; The data processing module is used to retrieve, convert and extract features of engineering safety construction data to determine engineering safety risk feature data; A model building module, used to train the model architecture selected for building the ChatGPT model based on the historical data of engineering safety construction, and build the ChatGPT model; Adjustment and optimization module, used to test, evaluate, adjust and optimize the constructed ChatGPT model to determine the best ChatGPT model; The prediction and recognition module is used to train the engineering safety construction feature data based on the optimal ChatGPT model and identify the risk data in the engineering safety construction data; The early warning control module is used to formulate intelligent control plans for engineering safety risks according to the risk range of risk data, and to conduct risk data and intelligent control of engineering safety risks; The optimization and integration module is used to optimize and integrate the actual operation data in the process of engineering safety construction with the intelligent management and control plan of engineering safety risks, and determine the standard safe operation plan in the process of engineering safety construction; The data acquisition module comprises: Accident collection unit, used to collect historical safety accident data during the engineering safety construction process; Inspection collection unit, used to collect safety inspection data during the engineering safety construction process; Maintenance collection unit, used to collect equipment maintenance data during the engineering safety construction process; Among them, based on the collected historical safety accident data, safety inspection data and equipment maintenance data, the project safety construction data is determined; The data acquisition module further includes: A data transmission channel establishment module, used to establish a data transmission channel between the accident collection unit, the inspection collection unit or the maintenance collection unit and the data processing module respectively; A real-time monitoring module, used for monitoring the channel capacity occupancy rate of the data transmission channel in real time; a target data transmission channel determination module, configured to, when the channel capacity occupancy rate reaches or exceeds a preset first occupancy rate threshold, use the data transmission channel whose channel capacity occupancy rate reaches or exceeds the preset first occupancy rate threshold as the target data transmission channel; An auxiliary data transmission channel establishing module, used to establish an auxiliary data transmission channel corresponding to the target data transmission channel according to the channel capacity occupancy rate data information of the target data transmission channel; A data transmission control module, used to simultaneously perform data transmission using a target data transmission channel and an auxiliary data transmission channel corresponding to the target data transmission channel; an auxiliary data transmission channel revocation module, configured to revoke the auxiliary data transmission channel corresponding to the target data transmission channel when the sum of the channel capacity occupancy rate of the target data transmission channel and the channel capacity occupancy rate of the auxiliary data transmission channel corresponding to the target data transmission channel is lower than a preset second occupancy rate threshold; The first occupancy rate threshold and the second occupancy rate threshold are obtained by the following formula: ； Among them, P 01 represents the first occupancy rate threshold; P 02 represents the second occupancy rate threshold; P m represents the capacity occupancy rate of the corresponding communication channel when the channel capacity occupancy rate reaches or exceeds the preset first occupancy rate threshold; C max Indicates the maximum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; G c Indicates the channel capacity of the data transmission channel; X c represents the capacity adjustment amount; f represents the adjustment coefficient; and the adjustment coefficient is obtained by the following formula: ； Wherein, n represents the number of unit times experienced during the collection process of the accident collection unit, the inspection collection unit or the maintenance collection unit, and the unit time is the same as the preset data transmission time interval corresponding to the accident collection unit, the inspection collection unit or the maintenance collection unit; C i represents the amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per i-th unit time; The data transmission channel establishment module includes: The channel capacity setting module is used to set the channel capacity of the data transmission channel between the accident collection unit, the inspection collection unit or the maintenance collection unit and the data processing module; wherein the channel capacity of the data transmission channel between the accident collection unit, the inspection collection unit or the maintenance collection unit and the data processing module is obtained by the following formula: ； Among them, G c represents the channel capacity of the data transmission channel; n represents the number of unit times experienced during the collection process of the accident collection unit, the inspection collection unit or the maintenance collection unit, and the unit time is the same as the preset data transmission time interval corresponding to the accident collection unit, the inspection collection unit or the maintenance collection unit; C max Indicates the maximum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; C i represents the amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per i-th unit time; X c Represents the capacity adjustment amount; wherein, the capacity adjustment amount is obtained by the following formula: ； Among them, C min Indicates the minimum amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; C p It indicates the average amount of data collected by the accident collection unit, inspection collection unit or maintenance collection unit per unit time; A first data transmission channel establishing module, used for establishing a first data transmission channel between the accident collection unit and the data processing module for the accident collection unit according to a preset channel capacity value; A second data transmission channel establishing module, used for establishing a second data transmission channel between the inspection collection unit and the data processing module for the inspection collection unit according to a preset channel capacity value; A third data transmission channel establishing module, used to establish a third data transmission channel between the maintenance collection unit and the data processing module for the maintenance collection unit according to a preset channel capacity value; Auxiliary data transmission channel establishment module, including: A channel capacity occupancy rate data information acquisition module, configured to extract the channel capacity occupancy rate data information of the target data transmission channel when the channel capacity occupancy rate reaches or exceeds a preset first occupancy rate threshold; The auxiliary data transmission channel capacity setting module is used to set the auxiliary data transmission channel capacity corresponding to the target data transmission channel using the channel capacity occupancy rate data information of the target data transmission channel; wherein the auxiliary data transmission channel capacity is obtained by the following formula: ； Among them, G f Indicates the capacity of the auxiliary data transmission channel; P 01 represents the occupancy value corresponding to the first occupancy threshold; G c Indicates the channel capacity of the data transmission channel; X c Indicates capacity adjustment; C maxm represents the maximum data transmission amount per unit time of the target data transmission channel during the data transmission process; h represents the auxiliary channel capacity adjustment coefficient, and the auxiliary channel capacity adjustment coefficient is obtained by the following formula: ； Where k represents the number of unit times experienced by the target data transmission channel; Pi represents the occupancy rate of the data transmission channel corresponding to the i-th unit time; P 01 represents a first occupancy threshold; The auxiliary data transmission channel establishing module is used to establish an auxiliary data transmission channel corresponding to the target data transmission channel according to the capacity of the auxiliary data transmission channel.

2. According to the engineering safety risk early warning management and control system based on ChatGPT thinking according to claim 1, it is characterized in that: The data processing module comprises: A data retrieval unit, used to retrieve engineering safety construction data; Obtain engineering safety construction data; Based on the sequential retrieval method, the engineering safety construction data is retrieved; Extract engineering safety construction data and perform consistency check on the extracted engineering safety construction data; Determine consistent engineering safety construction data; Process invalid and missing values ​​for consistent engineering safety construction data; Filter out invalid and missing data that are of no value to engineering safety risk early warning and control contained in consistent engineering safety construction data; Identify engineering safety construction data that is valuable for early warning and control of engineering safety risks; A data conversion unit, used to convert the retrieved engineering safety construction data; Obtain the retrieved engineering safety construction data that is valuable for engineering safety risk early warning and control; Based on the model input requirements, the retrieved engineering safety construction data that is valuable for engineering safety risk early warning and control is converted; Determine standardized engineering safety construction data; A feature extraction unit, used for extracting features from the converted engineering safety construction data; Obtain converted and standardized engineering safety construction data; Based on the needs of project safety risk prediction and identification, feature extraction is performed on the converted standardized project safety construction data; Determine the characteristic data of engineering safety construction.

3. According to the engineering safety risk early warning management and control system based on ChatGPT thinking according to claim 2, it is characterized in that: The model building module includes: Data storage unit, used to store historical data of engineering safety construction; Among them, the historical data of engineering safety construction is used as the training set required to build the ChatGPT model; The architecture selection unit is used to select the model architecture for building the ChatGPT model; According to the engineering safety risk early warning and control needs based on ChatGPT thinking, the model architecture used to build the ChatGPT model is selected based on the historical data of engineering safety construction; Model training unit, used to train the selected model architecture and build the ChatGPT model; Obtain historical data on engineering safety construction; Get the model architecture selected for building the ChatGPT model; According to the engineering safety risk early warning and control needs based on ChatGPT thinking; Based on the historical data of engineering safety construction, the model architecture selected for building the ChatGPT model is trained to build the ChatGPT model.

4. According to the engineering safety risk early warning management and control system based on ChatGPT thinking according to claim 3, it is characterized in that: The adjustment and optimization module comprises: Model testing unit, used to test and evaluate the built ChatGPT model; Get the built ChatGPT model; Test and evaluate the constructed ChatGPT model based on a pre-set test set; Determine the model test evaluation results; Adjustment and optimization unit, used to adjust and optimize the constructed ChatGPT model; Obtain model test evaluation results; Conduct mining and analysis on the model test and evaluation results to determine the model adjustment and optimization plan; Adjust and optimize the constructed ChatGPT model based on the model adjustment and optimization plan; Determine the best ChatGPT model.

5. According to the engineering safety risk early warning management and control system based on ChatGPT thinking according to claim 4, it is characterized in that: The prediction and recognition module comprises: A model prediction unit is used to predict engineering safety risks based on engineering safety construction feature data; Obtain engineering safety construction characteristic data; Get the best ChatGPT model; Input the engineering safety construction feature data into the best ChatGPT model, and train the engineering safety construction feature data based on the best ChatGPT model; Generate engineering safety risk prediction results; Risk identification unit, used to identify engineering safety risks; Obtain engineering safety risk prediction results; Mining and analyzing the project safety risk prediction results to determine the real reasons for the project safety risks; Based on the real reasons for the existence of engineering safety risks, risk data in engineering safety construction data is identified.

6. According to the engineering safety risk early warning management and control system based on ChatGPT thinking according to claim 5, it is characterized in that: The early warning control module includes: Risk early warning unit, used to provide timely early warning of engineering safety risks; Obtain risk data from identified engineering safety construction data; Based on risk data, timely early warning of project safety risks is provided to remind project safety construction personnel; Intelligent management and control unit, used for intelligent management and control of engineering safety risks; Obtain risk data from identified engineering safety construction data; Develop intelligent management and control plans for engineering safety risks based on the risk scope of risk data; Intelligent management and control of engineering safety risks is carried out based on the intelligent management and control solution of engineering safety risks.

7. The engineering safety risk early warning and control system based on ChatGPT thinking according to claim 6 is characterized in that: The optimization fusion module includes: Optimization and fusion unit, used to optimize and integrate the intelligent management and control solutions for engineering safety risks; Obtain intelligent management and control solutions for engineering safety risks; Obtain actual operation data during the project safety construction process; Based on the actual operation data during the engineering safety construction process, the intelligent management and control scheme of engineering safety risks is optimized, so that the actual operation data during the engineering safety construction process and the intelligent management and control scheme of engineering safety risks are integrated; Determine the standard safety operation plan during the project safety construction process; Standard operation unit, used to run standard safety operation plan; Obtain standard safety operation plans during the project safety construction process; Ensure safe operation of the project construction process based on standard safe operation plans.

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