Intelligent drilling construction data safety monitoring system based on management and control cloud platform

Abstract

The invention relates to the field of safety monitoring, and discloses an intelligent drilling construction data safety monitoring system based on a management and control cloud platform. The system comprises a data acquisition module, a data transmission and processing module, a construction condition analysis module, a safety risk prediction coefficient calculation module, a safety risk prediction module, a risk level positioning module and a result feedback module. The method comprises the following steps: acquiring drilling construction data, transmitting the drilling construction data to a cloud platform data processing center for processing, carrying out comprehensive analysis and safety risk prediction on the processed drilling construction data, carrying out risk grade division and positioning according to a risk prediction result, and feeding back and early warning to a management personnel terminal, thereby being beneficial to realizing comprehensive, real-time and efficient monitoring and analysis of the drilling construction data. Potential safety risks can be better identified, potential safety hazards in the construction process can be found and processed in time, and the accuracy and timeliness of early warning information are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of safety monitoring, and more specifically to an intelligent drilling construction data safety monitoring system based on a management and control cloud platform. Background Art

[0002] With the rapid development of cloud computing technology, it provides strong technical support for the real-time monitoring and analysis of drilling construction data. The cloud computing platform has powerful data processing and storage capabilities, and can realize the rapid processing and analysis of massive data. Through the drilling construction data safety monitoring system, it can realize the real-time monitoring, analysis, processing and storage of drilling construction data, real-time monitoring, and risk warning functions, thereby improving the safety and efficiency of drilling projects;

[0003] However, the above process still has the following disadvantages:

[0004] First, some existing intelligent drilling construction data safety monitoring systems have limitations in data collection, monitoring and analysis. It may be difficult to fully and in real time integrate data from different sensors and different drilling depths, resulting in an inability to fully reflect the safety status of the construction process. In addition, the depth and accuracy of data analysis may be insufficient, and potential safety hazards and abnormal situations cannot be effectively identified.

[0005] Secondly, the existing intelligent drilling construction data safety monitoring system lacks complete real-time monitoring and early warning functions, which will lead to the inability to timely discover and deal with safety hazards in the construction process, resulting in increased safety risks. In addition, the accuracy and timeliness of the early warning information may also be affected, and it is impossible to provide effective decision-making support for construction personnel. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides an intelligent drilling construction data safety monitoring system based on a management and control cloud platform to solve the problems existing in the above-mentioned background technology.

[0007] The present invention provides the following technical solution: an intelligent drilling construction data safety monitoring system based on a management and control cloud platform, comprising:

[0008] Data acquisition module: used for real-time monitoring and collection of drilling construction data, including drilling rig attitude data acquisition unit, drilling rig construction progress data acquisition unit and working environment data acquisition unit. Through the sensors installed on the drilling rig, the drilling site data is divided into several sub-areas according to the drilling depth to collect and monitor the drilling site data, and the collected sub-area drilling construction data is transmitted to the data transmission and processing module;

[0009] Data transmission and processing module: used to transmit the collected drilling construction data to the cloud platform data processing center in real time through the wireless network, and pre-process and analyze the sub-area drilling construction data through the cloud platform data processing center to obtain the sub-area drilling deviation value, sub-area construction progress and sub-area environmental severity, and transmit the pre-processed sub-area drilling construction data to the construction status analysis module;

[0010] Construction status analysis module: used to conduct comprehensive analysis on the drilling construction data of each sub-area, so as to monitor the overall trend of changes in the safety status of drilling construction. Through the drilling rig posture data acquisition unit, a comprehensive analysis is conducted to obtain the drilling motion risk assessment index. Through the drilling rig construction progress data acquisition unit, a comprehensive analysis is conducted to obtain the construction deviation assessment index. Through the working environment data acquisition unit, a comprehensive analysis is conducted to obtain the working environment impact assessment index, and the analysis results are transmitted to the safety risk prediction coefficient calculation module;

[0011] Safety risk prediction coefficient calculation module: used to calculate the safety risk prediction coefficient, predict the safety risk during drilling construction through the safety risk prediction coefficient, monitor the safety changes in the drilling construction conditions, and transmit the calculated safety risk prediction coefficient to the safety risk prediction module;

[0012] Safety risk prediction module: used to compare the safety risk prediction coefficient with the safety risk threshold, predict whether there is a safety risk in the drilling construction, and transmit the prediction result of the safety risk of the drilling construction to the risk level positioning module;

[0013] Risk level positioning module: used to classify the predicted drilling construction safety risks, receive the drilling construction safety risk prediction results, locate the risk level of drilling construction safety according to the prediction results, and automatically match the corresponding risk adjustment plan according to the risk level;

[0014] Result feedback module: Based on the feedback of prediction results and risk level classification results to the management personnel terminal, the drilling construction safety risk analysis and monitoring results are transmitted and stored in the database for management personnel to query.

[0015] Preferably, the data acquisition module divides the data acquisition area according to the drilling depth, sets a range of 10 meters in depth as a collection sub-area, and assigns a unique label to each collection sub-area in the database, numbering them as 1, 2, 3...N respectively, collects the drilling construction data of each sub-area in real time through the sensor installed on the drilling rig, and automatically stores the collected drilling construction data of each sub-area in the database;

[0016] The drilling rig attitude data acquisition unit is used to monitor and collect the sub-area drilling rig attitude information data when the drilling rig is drilling, including the actual pitch angle of the drilling rig, the actual yaw angle of the drilling rig and the actual roll angle of the drilling rig;

[0017] The drilling rig construction progress data collection unit is used to monitor and collect the sub-area drilling rig construction progress data of the drilling rig in real time when the drilling rig is drilling, including the volume of completed construction, the time of completed construction, the number of failures of the drilling rig and the total operation time of the drilling rig;

[0018] The working environment data acquisition unit is used to monitor and collect sub-area working environment related data during drilling by the drilling rig in real time, including groundwater pressure value, drilling fluid temperature value, drilling fluid density value, air humidity value, air temperature value and formation hardness value.

[0019] Preferably, the data transmission and processing module is used to import the drilling construction data transmitted by the wireless network into the cloud platform data processing center through the API interface provided by the cloud platform, encrypt the drilling construction data during transmission through the wireless network, and set an identity authentication mechanism; the process of pre-processing the received drilling construction data of each sub-area through the cloud platform data processing center includes data cleaning, data compression, data parsing and data integration, and analyzing the drilling construction data of the sub-area;

[0020] The specific analysis method of the sub-area drilling deviation value is as follows:

[0021] Step S211: Calculate the vertical deviation value ΔV=L×tan(α1-α0), where L represents the length of the drilling tool, α1 represents the actual current pitch angle of the drilling rig, and α2 represents the target pitch angle of the drilling rig;

[0022] Step S212: Calculate the horizontal deviation value ΔH in the east-west direction x =L×tan(β1-β2), β1 represents the current actual yaw angle of the drilling rig, β2 represents the target yaw angle of the drilling rig; calculate the horizontal deviation value ΔH in the north-south direction y =L×tan(γ1-γ2), γ1 represents the actual roll angle of the drilling rig, and γ2 represents the target roll angle of the drilling rig;

[0023] Step S213: Analyze the current sub-area drilling construction data to obtain the calculation formula of the sub-area drilling deviation value: i represents the i-th sub-region;

[0024] The sub-area construction progress is based on the sub-area construction plan completion time T i Calculate the construction progress of the sub-area as P i represents the construction progress percentage of the i-th sub-area, that is, pci represents the volume of the completed construction in the ith sub-area, p i represents the design volume of the ith region, T ci represents the construction time of the ith sub-area, T i represents the planned completion time of the i-th sub-area;

[0025] The severity of the sub-region environment is based on the actual measured value E of the sub-region environmental parameter. i The severity of the sub-region environment is calculated as E ij represents the actual measured value of the jth environmental parameter in the ith sub-area, E ijmax represents the safety upper limit value of the jth environmental parameter in the ith sub-region, E ijmin represents the safe lower limit value of the jth environmental parameter in the i-th sub-area, W j represents the weight of the jth environmental parameter, and 0<W j <1. The specific value is adjusted by management based on experience.

[0026] Preferably, the construction status analysis module performs a comprehensive analysis based on the monitoring results of the drilling construction data of each sub-area and the parameters affecting the safety of the construction status of each sub-area, obtains the analysis results of the construction safety changes, and transmits them to the safety risk prediction coefficient calculation module to calculate the safety risk prediction coefficient;

[0027] The drilling motion risk assessment index is based on the drilling deviation value ΔR of each sub-area. i Analyze and calculate the drilling motion abnormality evaluation index as represents the average drilling deviation value of N sub-areas, p i represents the drilling pressure of the ith sub-area, represents the average drilling pressure of N sub-areas, v i represents the drill speed of the ith sub-area, represents the average drill speed of N sub-areas, d i represents the torque of the ith sub-region, represents the average torque of N sub-areas;

[0028] The construction deviation evaluation index is based on the construction progress S of each sub-area i Analyze and calculate the construction deviation evaluation index as represents the average construction progress of N sub-areas, a represents the number of failures of the drilling rig, and t′ represents the total operating time of the drilling rig;

[0029] The environmental impact assessment index of the working conditions is based on the severity of the environment in each sub-region. iAnalyze and calculate the working condition environmental impact index: Indicates the average environmental severity of N sub-areas.

[0030] Preferably, the safety risk prediction coefficient calculation module calculates the safety risk prediction coefficient based on the analysis result of the construction status analysis module as Y=ln(1+K)×U×2 Q , K represents the drilling movement abnormality assessment index, U represents the construction deviation assessment index, and Q represents the working environment impact assessment index.

[0031] Preferably, the safety risk prediction module compares the calculated value of the safety risk prediction coefficient with the safety risk threshold. If the safety risk prediction coefficient Y ≥ the safety risk threshold z, it indicates that the safety risk of the drilling construction is predicted, and the predicted safety risk is transmitted to the risk level classification and positioning module. If the safety risk prediction coefficient Y < the safety risk threshold z, it indicates that the safety risk of the drilling construction is not predicted, and the drilling construction safety continues to be monitored.

[0032] Preferably, the risk level positioning module divides the risk level based on the safety risk prediction coefficient and the safety risk threshold of the existing safety risk, and automatically locates the risk level according to the risk level classification based on the predicted safety risk results of the drilling construction;

[0033] When the safety risk prediction coefficient Y = safety risk threshold z, the drilling construction safety risk is classified as a low risk level;

[0034] When the safety risk threshold z<safety risk prediction coefficient Y≤2, the drilling construction safety risk is classified as medium risk level;

[0035] When the safety risk prediction coefficient Y>2, the drilling construction safety risk is classified as a high risk level.

[0036] Preferably, the result feedback module provides early warning feedback to the management terminal based on the security risk level of the prediction result, and provides an automatically matched risk adjustment plan, and at the same time stores the prediction results in the database according to the data analysis time classification.

[0037] Technical effects and advantages of the present invention:

[0038] The present invention is provided with a data acquisition module, which collects and monitors drilling site data by dividing the drilling into several sub-areas according to the drilling depth through sensors installed on the drilling rig, and transmits the collected drilling construction data to the cloud platform data processing center in real time through the wireless network through the data transmission and processing module, and realizes preprocessing and analysis of the drilling construction data of the sub-areas through the cloud platform data processing center, and comprehensively analyzes the drilling construction data of each sub-area through the construction status analysis module, so as to monitor the overall trend of changes in the safety status of the drilling construction, which is conducive to solving the problems of limitations in data collection, monitoring and analysis, and realizes comprehensive, real-time and efficient monitoring and analysis of drilling construction data, improves the depth and accuracy of data analysis, and can better identify potential safety risks; The safety risk prediction coefficient calculated by the full risk prediction coefficient calculation module predicts the safety risk of drilling construction. The risk level positioning module locates the risk level of drilling construction safety according to the prediction result. The prediction result and risk level classification result are fed back to the management terminal through the result feedback module, and the drilling construction safety risk analysis and monitoring results are transmitted and stored in the database. Through real-time monitoring and early warning functions, it is conducive to timely discovery and handling of safety hazards in the construction process. Through risk level positioning, potential risks can be quantified, classified and sorted, which improves risk understanding and response capabilities. At the same time, it improves the accuracy and timeliness of early warning information, provides construction personnel with a more reliable decision-making basis, and enhances the accuracy and efficiency of safety risk identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of an intelligent drilling construction data safety monitoring system based on a management and control cloud platform of the present invention. DETAILED DESCRIPTION

[0040] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are only examples. The intelligent drilling construction data safety monitoring system based on the management and control cloud platform involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0041] The present invention provides an intelligent drilling construction data safety monitoring system based on a management and control cloud platform, comprising:

[0042] Data acquisition module: used for real-time monitoring and collection of drilling construction data, including drilling rig attitude data acquisition unit, drilling rig construction progress data acquisition unit and working environment data acquisition unit. Through the sensors installed on the drilling rig, the drilling site data is divided into several sub-areas according to the drilling depth to collect and monitor the drilling site data, and the collected sub-area drilling construction data is transmitted to the data transmission and processing module.

[0043] In this embodiment, the data acquisition module divides the data acquisition area according to the drilling depth, sets a range of 10 meters in depth as a collection sub-area, and assigns a unique label to each collection sub-area in the database, which is numbered 1, 2, 3...N respectively. The drilling construction data of each sub-area is collected in real time through the sensor installed on the drilling rig, and the collected drilling construction data of each sub-area is automatically stored in the database;

[0044] The drilling rig attitude data acquisition unit is used to monitor and collect the sub-area drilling rig attitude information data when the drilling rig is drilling, including the actual pitch angle of the drilling rig, the actual yaw angle of the drilling rig and the actual roll angle of the drilling rig;

[0045] The drilling rig construction progress data collection unit is used to monitor and collect the sub-area drilling rig construction progress data of the drilling rig in real time when the drilling rig is drilling, including the volume of completed construction, the time of completed construction, the number of failures of the drilling rig and the total operation time of the drilling rig;

[0046] The working environment data acquisition unit is used to monitor and collect sub-area working environment related data during drilling by the drilling rig in real time, including groundwater pressure value, drilling fluid temperature value, drilling fluid density value, air humidity value, air temperature value and formation hardness value.

[0047] It should be specifically explained that the data acquisition module divides the collected data into multiple sub-areas for storage based on the drilling depth. The starting depth of the collection sub-area is determined, starting from the starting depth of the drilling and increasing by 10 meters each time. The starting depth of each collection sub-area is determined, and the collected data is stored in the database. A separate record data table is created for each sub-area, and the label information of each collection sub-area is recorded and numbered in the database, such as 0-10m-001.

[0048] Data transmission and processing module: used to transmit the collected drilling construction data to the cloud platform data processing center in real time through the wireless network, and preprocess and analyze the sub-area drilling construction data through the cloud platform data processing center to obtain the sub-area drilling deviation value, sub-area construction progress and sub-area environmental severity, and transmit the preprocessed sub-area drilling construction data to the construction data analysis module.

[0049] In this embodiment, the data transmission and processing module is used to import the drilling construction data transmitted by the wireless network into the cloud platform data processing center through the API interface provided by the cloud platform, encrypt the drilling construction data during transmission through the wireless network, and set an identity authentication mechanism; the process of pre-processing the drilling construction data of each sub-area received by the cloud platform data processing center includes data cleaning, data compression, data parsing and data integration, and analyzing the drilling construction data of the sub-area;

[0050] The specific analysis method of the sub-area drilling deviation value is as follows:

[0051] Step S211: Calculate the vertical deviation value ΔV=L×tan(α1-α0), where L represents the length of the drilling tool, α1 represents the actual current pitch angle of the drilling rig, and α2 represents the target pitch angle of the drilling rig;

[0052] Step S212: Calculate the horizontal deviation value ΔH in the east-west direction x =L×tan(β1-β2), β1 represents the current actual yaw angle of the drilling rig, β2 represents the target yaw angle of the drilling rig; calculate the horizontal deviation value ΔH in the north-south direction y =L×tan(γ1-γ2), γ1 represents the actual roll angle of the drilling rig, and γ2 represents the target roll angle of the drilling rig;

[0053] Step S213: Analyze the current sub-area drilling construction data to obtain the calculation formula of the sub-area drilling deviation value: i represents the i-th sub-region;

[0054] The sub-area construction progress is based on the sub-area construction plan completion time T i Calculate the construction progress of the sub-area as P i represents the construction progress percentage of the i-th sub-area, that is, p ci represents the volume of the completed construction in the ith sub-area, p i represents the design volume of the ith region, T ci represents the construction time of the ith sub-area, T i represents the planned completion time of the i-th sub-area;

[0055] The severity of the sub-region environment is based on the actual measured value E of the sub-region environmental parameter. i The severity of the sub-region environment is calculated as E ij represents the actual measured value of the jth environmental parameter in the ith sub-area, E ijmax represents the safety upper limit value of the jth environmental parameter in the ith sub-region, E ijminrepresents the safe lower limit value of the jth environmental parameter in the i-th sub-area, W j represents the weight of the jth environmental parameter, and 0<W j <1. The specific value is adjusted by management based on experience.

[0056] It should be specifically noted that the actual measured value E of the jth environmental parameter in the i-th sub-region of the sub-region environmental severity is ij Including groundwater pressure value, drilling fluid temperature value, drilling fluid density value, air humidity value, air temperature value, formation hardness value...

[0057] Construction status analysis module: used to conduct comprehensive analysis on the drilling construction data of each sub-area, so as to monitor the overall trend of changes in the safety status of the drilling construction. Through the drilling rig posture data acquisition unit, a comprehensive analysis is conducted to obtain the drilling motion risk assessment index. Through the drilling rig construction progress data acquisition unit, a comprehensive analysis is conducted to obtain the construction deviation assessment index. Through the working environment data acquisition unit, a comprehensive analysis is conducted to obtain the working environment impact assessment index, and the analysis results are transmitted to the safety risk prediction coefficient calculation module.

[0058] In this embodiment, the construction status analysis module performs a comprehensive analysis based on the monitoring results of the drilling construction data of each sub-area and the parameters affecting the construction status safety of each sub-area, obtains the analysis results of the construction safety changes, and transmits them to the safety risk prediction coefficient calculation module to calculate the safety risk prediction coefficient;

[0059] The drilling motion risk assessment index is based on the drilling deviation value ΔR of each sub-area. i Analyze and calculate the drilling motion abnormality evaluation index as represents the average drilling deviation value of N sub-areas, p i represents the drilling pressure of the ith sub-area, represents the average drilling pressure of N sub-areas, v i represents the drill speed of the ith sub-area, represents the average drill speed of N sub-areas, d i represents the torque of the ith sub-region, represents the average torque of N sub-areas;

[0060] The construction deviation evaluation index is based on the construction progress S of each sub-area i Analyze and calculate the construction deviation evaluation index as represents the average construction progress of N sub-areas, a represents the number of failures of the drilling rig, and t′ represents the total operating time of the drilling rig;

[0061] The environmental impact assessment index of the working conditions is based on the severity of the environment in each sub-region. i Analyze and calculate the working condition environmental impact index: Indicates the average environmental severity of N sub-areas.

[0062] Safety risk prediction coefficient calculation module: used to calculate the safety risk prediction coefficient, predict the safety risk during drilling construction through the safety risk prediction coefficient, monitor the safety changes in the drilling construction conditions, and transmit the calculated safety risk prediction coefficient to the safety risk prediction module.

[0063] In this embodiment, the safety risk prediction coefficient calculation module calculates the safety risk prediction coefficient based on the analysis results of the construction status analysis module as Y=ln(1+K)×U×2 Q , K represents the drilling movement abnormality assessment index, U represents the construction deviation assessment index, and Q represents the working environment impact assessment index.

[0064] Safety risk prediction module: used to compare the safety risk prediction coefficient with the safety risk threshold, predict whether there is a safety risk in the drilling construction, and transmit the prediction result of the safety risk of the drilling construction to the risk level positioning module.

[0065] In this embodiment, the safety risk prediction module compares the calculated value of the safety risk prediction coefficient with the safety risk threshold. If the safety risk prediction coefficient Y≥safety risk threshold z, it indicates that the safety risk of drilling construction is predicted, and the predicted safety risk is transmitted to the risk level classification and positioning module. If the safety risk prediction coefficient Y<safety risk threshold z, it indicates that the safety risk of drilling construction is not predicted, and the safety of drilling construction continues to be monitored.

[0066] Risk level positioning module: used to classify the predicted drilling construction safety risks, receive the drilling construction safety risk prediction results, locate the risk level of drilling construction safety according to the prediction results, and automatically match the corresponding risk adjustment plan according to the risk level.

[0067] In this embodiment, the risk level positioning module divides the risk level based on the safety risk prediction coefficient and the safety risk threshold of the existing safety risk, and automatically locates the risk level according to the risk level classification based on the predicted safety risk results of the drilling construction;

[0068] When the safety risk prediction coefficient Y = safety risk threshold z, the drilling construction safety risk is classified as a low risk level;

[0069] When the safety risk threshold z<safety risk prediction coefficient Y≤2, the drilling construction safety risk is classified as medium risk level;

[0070] When the safety risk prediction coefficient Y>2, the drilling construction safety risk is classified as a high risk level.

[0071] It should be noted that the risk adjustment plan specifically includes:

[0072] Adjustment of low-risk level: Continuously monitor relevant parameters to ensure that risks are within controllable range; regularly inspect and maintain equipment to ensure normal operation of equipment; train construction personnel on safety knowledge and operating skills to enhance safety awareness;

[0073] Adjustment of medium risk level: Conduct a detailed assessment of existing risk factors to identify the source of risk; strengthen on-site monitoring and promptly handle problems when they are discovered; formulate emergency plans to ensure rapid response when risks escalate;

[0074] High-risk level adjustment: Suspend construction activities while ensuring the safety of personnel; invite experts to diagnose risk factors and develop solutions; thoroughly rectify existing problems to ensure that risks are effectively controlled; after rectification is completed, conduct resumption of work acceptance to ensure that safety conditions meet requirements.

[0075] Result feedback module: Based on the feedback of prediction results and risk level classification results to the management personnel terminal, the drilling construction safety risk analysis and monitoring results are transmitted and stored in the database for management personnel to query.

[0076] In this embodiment, the result feedback module provides early warning feedback to the management terminal based on the security risk level of the prediction result, and provides an automatically matched risk adjustment plan, and at the same time stores the prediction results in the database according to the data analysis time classification.

[0077] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0078] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent drilling construction data safety monitoring system based on a management and control cloud platform, characterized by: include: Data acquisition module: used for real-time monitoring and collection of drilling construction data, including drilling rig attitude data acquisition unit, drilling rig construction progress data acquisition unit and working environment data acquisition unit. Through the sensors installed on the drilling rig, the drilling site data is divided into several sub-areas according to the drilling depth to collect and monitor the drilling site data, and the collected sub-area drilling construction data is transmitted to the data transmission and processing module; Data transmission and processing module: used to transmit the collected drilling construction data to the cloud platform data processing center in real time through the wireless network, and pre-process and analyze the sub-area drilling construction data through the cloud platform data processing center to obtain the sub-area drilling deviation value, sub-area construction progress and sub-area environmental severity, and transmit the pre-processed sub-area drilling construction data to the construction status analysis module; Construction status analysis module: used to conduct comprehensive analysis on the drilling construction data of each sub-area, so as to monitor the overall trend of changes in the safety status of drilling construction. Through the drilling rig posture data acquisition unit, a comprehensive analysis is conducted to obtain the drilling motion risk assessment index. Through the drilling rig construction progress data acquisition unit, a comprehensive analysis is conducted to obtain the construction deviation assessment index. Through the working environment data acquisition unit, a comprehensive analysis is conducted to obtain the working environment impact assessment index, and the analysis results are transmitted to the safety risk prediction coefficient calculation module; Safety risk prediction coefficient calculation module: used to calculate the safety risk prediction coefficient, predict the safety risk during drilling construction through the safety risk prediction coefficient, monitor the safety changes of the drilling construction conditions, and transmit the calculated safety risk prediction coefficient to the safety risk prediction module; Safety risk prediction module: used to compare the safety risk prediction coefficient with the safety risk threshold, predict whether there is a safety risk in the drilling construction, and transmit the prediction result of the safety risk of the drilling construction to the risk level positioning module; Risk level positioning module: used to classify the predicted drilling construction safety risks, receive the drilling construction safety risk prediction results, locate the risk level of drilling construction safety according to the prediction results, and automatically match the corresponding risk adjustment plan according to the risk level; Result feedback module: Based on the feedback of prediction results and risk level classification results to the management personnel terminal, the drilling construction safety risk analysis and monitoring results are transmitted and stored in the database for management personnel to query.

2. According to claim 1, an intelligent drilling construction data safety monitoring system based on a management and control cloud platform is characterized in that: The data acquisition module divides the data acquisition area according to the drilling depth, sets a range of 10 meters in depth as a collection sub-area, and assigns a unique label to each collection sub-area in the database, numbering them as 1, 2, 3...N, respectively. The drilling construction data of each sub-area is collected in real time through the sensor installed on the drilling rig, and the collected drilling construction data of each sub-area is automatically stored in the database; The drilling rig attitude data acquisition unit is used to monitor and collect the sub-area drilling rig attitude information data when the drilling rig is drilling, including the actual pitch angle of the drilling rig, the actual yaw angle of the drilling rig and the actual roll angle of the drilling rig; The drilling rig construction progress data collection unit is used to monitor and collect the sub-area drilling rig construction progress data of the drilling rig in real time when the drilling rig is drilling, including the volume of completed construction, the time of completed construction, the number of failures of the drilling rig and the total operation time of the drilling rig; The working environment data acquisition unit is used to monitor and collect sub-area working environment related data during drilling by the drilling rig in real time, including groundwater pressure value, drilling fluid temperature value, drilling fluid density value, air humidity value, air temperature value and formation hardness value.

3. According to claim 1, an intelligent drilling construction data safety monitoring system based on a management and control cloud platform is characterized in that: The data transmission and processing module is used to import the drilling construction data transmitted by the wireless network into the cloud platform data processing center through the API interface provided by the cloud platform, encrypt the drilling construction data during transmission through the wireless network, and set an identity authentication mechanism; the cloud platform data processing center performs pre-processing operations on the received drilling construction data of each sub-area, including data cleaning, data compression, data analysis and data integration, and analyzes the drilling construction data of the sub-area; The specific analysis method of the sub-area drilling deviation value is as follows: Step S211: Calculate the vertical deviation value ΔV=L×tan(α1-α0), where L represents the length of the drilling tool, α1 represents the actual current pitch angle of the drilling rig, and α2 represents the target pitch angle of the drilling rig; Step S212: Calculate the horizontal deviation value ΔH in the east-west direction x =L×tan(β1-β2), β1 represents the current actual yaw angle of the drilling rig, β2 represents the target yaw angle of the drilling rig; calculate the horizontal deviation value ΔH in the north-south direction y =L×tan(γ1-γ2), γ1 represents the actual roll angle of the drilling rig, and γ2 represents the target roll angle of the drilling rig; Step S213: Analyze the current sub-area drilling construction data to obtain the calculation formula of the sub-area drilling deviation value: i represents the i-th sub-region; The sub-area construction progress is based on the sub-area construction plan completion time T i Calculate the construction progress of the sub-area as P i represents the construction progress percentage of the i-th sub-area, that is, p ci represents the volume of the completed construction in the ith sub-area, p i represents the design volume of the ith region, T ci represents the construction time of the ith sub-area, T i represents the planned completion time of the i-th sub-area; The severity of the sub-region environment is based on the actual measured value E of the sub-region environmental parameter. i The severity of the sub-region environment is calculated as E ij represents the actual measured value of the jth environmental parameter in the ith sub-area, E ijmax represents the safety upper limit value of the jth environmental parameter in the ith sub-region, E ijmin represents the safe lower limit value of the jth environmental parameter in the i-th sub-area, W j represents the weight of the jth environmental parameter, and 0<W j <1. The specific value is adjusted by management based on experience.

4. According to claim 1, an intelligent drilling construction data safety monitoring system based on a management and control cloud platform is characterized in that: The construction status analysis module performs a comprehensive analysis based on the monitoring results of the drilling construction data of each sub-area and the parameters affecting the construction status safety of each sub-area, obtains the analysis results of the construction safety changes, and transmits them to the safety risk prediction coefficient calculation module to calculate the safety risk prediction coefficient; The drilling motion risk assessment index is based on the drilling deviation value ΔR of each sub-area. i Analyze and calculate the drilling motion abnormality evaluation index as represents the average drilling deviation value of N sub-areas, p i represents the drilling pressure of the ith sub-area, represents the average drilling pressure of N sub-areas, v i represents the drill speed of the ith sub-area, represents the average drill speed of N sub-areas, d i represents the torque of the ith sub-region, represents the average torque of N sub-areas; The construction deviation evaluation index is based on the construction progress S of each sub-area i Analyze and calculate the construction deviation evaluation index as represents the average construction progress of N sub-areas, a represents the number of failures of the drilling rig, and t′ represents the total operating time of the drilling rig; The environmental impact assessment index of the working conditions is based on the severity of the environment in each sub-region. i Analyze and calculate the working condition environmental impact index: Indicates the average environmental severity of N sub-areas.

5. According to claim 1, an intelligent drilling construction data safety monitoring system based on a management and control cloud platform is characterized in that: The safety risk prediction coefficient calculation module calculates the safety risk prediction coefficient based on the analysis results of the construction status analysis module as Y=ln(1+K)×U×2 Q , K represents the drilling movement abnormality assessment index, U represents the construction deviation assessment index, and Q represents the working environment impact assessment index.

6. According to claim 1, an intelligent drilling construction data safety monitoring system based on a management and control cloud platform is characterized in that: The safety risk prediction module compares the calculated value of the safety risk prediction coefficient with the safety risk threshold. If the safety risk prediction coefficient Y≥safety risk threshold z, it indicates that the safety risk of drilling construction is predicted, and the predicted safety risk is transmitted to the risk level classification and positioning module. If the safety risk prediction coefficient Y<safety risk threshold z, it indicates that the safety risk of drilling construction is not predicted, and the safety of drilling construction continues to be monitored.

7. The intelligent drilling construction data safety monitoring system based on the management and control cloud platform according to claim 1 is characterized by: The risk level positioning module divides the risk level based on the safety risk prediction coefficient and the safety risk threshold of the existing safety risk, and automatically locates the risk level according to the risk level classification based on the predicted safety risk results of the drilling construction; When the safety risk prediction coefficient Y = safety risk threshold z, the drilling construction safety risk is classified as a low risk level; When the safety risk threshold z<safety risk prediction coefficient Y≤2, the drilling construction safety risk is classified as medium risk level; When the safety risk prediction coefficient Y>2, the drilling construction safety risk is classified as a high risk level.

8. The intelligent drilling construction data safety monitoring system based on the management and control cloud platform according to claim 1 is characterized by: The result feedback module provides early warning feedback to the management terminal based on the security risk level of the prediction result, and provides an automatically matched risk adjustment plan. At the same time, the prediction results are classified and stored in the database according to the data analysis time.

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