An emergency rescue drilling equipment operation status monitoring system
By designing the operating status monitoring system of emergency rescue drilling equipment, identifying and marking critical parts, and generating an extreme command warning parameter table, the problem of failure to fully consider the impact of drilling equipment parameter detection and control on emergency rescue in the existing technology is solved, and the drilling equipment is able to operate stably in emergency rescue, improving rescue efficiency and success rate.
Patent Information
- Application Number
- CN202410828398.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-25
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2044-06-25
AI Technical Summary
In emergency rescue, the existing technology fails to fully consider the impact of drilling equipment parameter detection and control on emergency rescue, which may lead to delays or failures in rescue.
An emergency rescue drilling equipment operation status monitoring system is designed, through important coefficient generation modules, maintenance difficulty index acquisition modules, critical parts marking modules, limit warning value acquisition modules and limit command control modules, identify and mark critical parts, and generate limit command warning parameter tables to ensure the stable operation of drilling equipment in emergency rescue.
By identifying and marking critical parts, ensuring their stable operation in emergency rescue, avoiding rescue delays or failures caused by critical parts failures, improving rescue efficiency and success rate.
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Figure CN118855442B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of rescue drilling equipment monitoring, and in particular to an emergency rescue drilling equipment operating status monitoring system. Background Art
[0002] With the continuous innovation and development of drilling technology and equipment, drilling equipment is not only used in the exploration and mining of mineral resources, but also plays a vital role in emergency rescue work. It plays a vital role in emergency rescue, can provide life support for trapped people and achieve successful rescue. The application of drilling equipment and technology in emergency rescue provides strong technical support for mines and other emergency rescue. Emergency rescue drilling can be carried out according to different application goals, including life support holes, life-saving holes, drainage holes, fire extinguishing holes, gas extraction holes and other types. Mine drilling can be used for fire extinguishing, drilling drainage rescue, drilling communication rescue and drilling toxic gas emissions, etc., to successfully rescue people in distress and recover economic losses. Drilling equipment plays an indispensable role in emergency rescue and has made contributions to protecting people’s lives and property.
[0003] When the drilling equipment is in use, the operating status and parameters of the drilling equipment are often monitored to ensure the safe and stable operation of the equipment, and the drilling equipment is controlled accordingly according to the operating status and parameters of the drilling equipment to avoid operating failures and operating status deviations of the drilling equipment;
[0004] However, when drilling equipment is used for emergency rescue, only the operating status and parameters of the drilling equipment are monitored for abnormalities, and corresponding controls are performed according to the monitoring results. Although monitoring the operating status and parameters of the drilling equipment is the basis for ensuring the safe and stable operation of the equipment, in emergency rescue, time is often very tight. Any factors that may cause rescue delays may pose a threat to the lives of trapped people. When testing various parameters of the drilling equipment, the urgency of the emergency rescue situation is not taken into account, and whether the control of the drilling equipment will affect the implementation of the emergency rescue, resulting in an impact on the emergency rescue effect, or even causing rescue delays or failures. Based on this, an emergency rescue drilling equipment operating status monitoring system is proposed. Summary of the invention
[0005] The purpose of the present invention is to provide an emergency rescue drilling equipment operation status monitoring system, which solves the technical problems of not taking into account the urgency of the emergency rescue situation when detecting various parameters of the drilling equipment, and not taking into account whether the control of the drilling equipment will affect the implementation of the emergency rescue.
[0006] The purpose of the present invention can be achieved through the following technical solutions:
[0007] An emergency rescue drilling equipment operation status monitoring system, comprising:
[0008] The important coefficient generation module analyzes the connection and control relationship between the various parts of the drilling equipment, obtains the important coefficients corresponding to each part, and is used to indicate the importance of the parts to the operation of the drilling equipment;
[0009] The maintenance difficulty index acquisition module analyzes the historical maintenance data corresponding to each part and obtains the maintenance difficulty index corresponding to each part, which is used to indicate the difficulty of repairing the part when it fails;
[0010] The critical parts marking module marks the critical parts among various parts according to their corresponding importance coefficients and maintenance difficulty coefficients;
[0011] The limit warning value acquisition module analyzes the operating data of various parameters of the drilling equipment when various critical parts fail, and obtains the limit warning values corresponding to each parameter of the drilling equipment;
[0012] The limit instruction control module matches the parameter warning values corresponding to various parameters of the drilling equipment with the limit instructions to generate a limit instruction warning parameter table.
[0013] As a further solution of the present invention: the specific method of obtaining the important coefficients corresponding to each part is:
[0014] Obtain the number of connection parts corresponding to each part of the drilling equipment, the number of active control parts and the number of passive control parts corresponding to each part of the drilling equipment, and define the sum of the products of the number of connection parts corresponding to each part of the drilling equipment, the number of active control parts corresponding to each part and the number of passive control parts corresponding to each part and their corresponding preset proportional coefficients β1, β2 and β3 as the important coefficient Za corresponding to each part;
[0015] Here, a refers to different parts, and a is the part number of the different parts, and a=1, 2, ..., b, wherein b represents the specific number of the different parts, b≥1, 1=β1+β2+β3, and β2>β3>β1.
[0016] As a further solution of the present invention: the specific method of obtaining the maintenance difficulty index corresponding to each part is:
[0017] S1: Randomly obtain one part from each part as an analysis part, analyze the maintenance time Tn of the part in n maintenances, and obtain the value Tc of the maintenance time Tn that meets the preset screening condition X1, where n refers to different maintenance times, n=1, 2, ..., e, where e is the number of maintenance times, e≥1, and c refers to different maintenance times that meet the preset screening condition X1, c=1, 2, ..., f, f≥1;
[0018] When f is greater than the preset threshold value Y1, the mean of the maintenance time Tn is used as the standard maintenance time W1 of the analyzed part; when f is less than or equal to the preset threshold value Y1, the mean of the maximum and minimum values in Tn is used as the standard maintenance time W1 of the analyzed part;
[0019] Obtain the number of maintenance failures of the analyzed part in n maintenances, marked as E, and multiply the sum of the ratio between the failure number and the preset maintenance number n and the standard maintenance time W1 of the analyzed part by the correction coefficient β4, and define the final product as the maintenance difficulty index N1 corresponding to the analyzed part;
[0020] S2: Repeat the above step S2 to obtain the maintenance difficulty index Na corresponding to each part of the drilling equipment.
[0021] As a further solution of the present invention: the preset screening condition X1 is specifically: |Tn-Tp|>Y2, wherein Tp is the average value of Tn, and Y2 is the preset value.
[0022] As a further solution of the present invention: the specific method of marking the important parts among the various parts is:
[0023] The sum of the importance coefficient and the maintenance difficulty coefficient corresponding to each part is marked as the critical coefficient of each part, and the parts with a critical coefficient greater than the preset value Y3 are marked as critical parts of the drilling equipment. For the parts with a critical coefficient less than or equal to the preset value Y3, no processing is performed.
[0024] As a further solution of the present invention: the specific method of obtaining the limit warning values corresponding to each parameter of the drilling equipment is:
[0025] S01: randomly select one of the parameters of the drilling equipment as the analysis parameter;
[0026] S02: Randomly select a part from each critical part as the target part;
[0027] Obtain the operating data Hr corresponding to the analysis parameters of the drilling equipment when the target part fails r times, where r is the preset number of times, r≥1;
[0028] The standard deviation U of Hr is calculated by the standard deviation calculation formula. When the standard deviation is less than the preset value Y4, the mean value of Hr is used as the fault parameter value GZ1 of the target part analysis parameter; when the standard deviation is greater than or equal to the preset value Y4, the mean value of the maximum and minimum values of Hr is used as the fault parameter value GZ1 of the target part analysis parameter.
[0029] S03: Repeat step S02 to obtain the fault parameter values corresponding to the analysis parameters of each critical part, and use the minimum value as the limit warning value JX1 corresponding to the analysis parameter;
[0030] S04: Repeat steps S01-S03 to obtain the limit warning value JXd corresponding to each parameter of the drilling equipment, where d is a different parameter of the drilling equipment, d=1, 2, ..., g, where g is the number of different parameters, g≥1.
[0031] As a further solution of the present invention: the specific standard deviation calculation formula is:
[0032] Where Hh is any value in Hr, r≥h≥1, and Hp is the mean value of Hr.
[0033] As a further solution of the present invention: the specific method of generating the limit instruction warning parameter table is:
[0034] Set limit instructions, match the parameter warning values corresponding to each parameter of the drilling equipment with the limit instructions, and generate a limit instruction warning parameter table. When the drilling equipment is performing emergency rescue operations, adjust the drilling equipment to the limit instructions, and refer to the limit instruction warning parameter table to make the parameter warning values of each parameter of the drilling equipment correspond to the limit warning values of each parameter.
[0035] Beneficial effects of the present invention:
[0036] (1) The present invention identifies parts that are critical to the operation of the equipment and difficult to repair by marking the critical parts of the drilling equipment. The critical parts are important for the normal use of the drilling equipment, and the repair difficulty is also great after a critical part fails. The parts that need to remain stable when the drilling equipment is performing an emergency rescue mission are marked by marking the critical parts, so as to ensure that the critical parts of the drilling equipment remain stable and will not fail when the drilling equipment is performing an emergency rescue mission, so that the drilling equipment can perform the emergency rescue mission normally, so as to ensure the stability of these parts in an emergency, thereby ensuring that the drilling equipment can effectively perform the rescue mission;
[0037] (2) The present invention matches the parameter warning values corresponding to the parameters of the drilling equipment with the limit instructions. When the drilling equipment is performing emergency rescue operations, the drilling equipment is adjusted to the limit instruction control module, so that the parameter warning values corresponding to the parameters of the drilling equipment are at the limit warning values of the parameters, thereby increasing the warning limit values of the parameters of the equipment. Under the premise of ensuring the normal operation of the drilling equipment, it is ensured that the critical parts are not easily damaged as much as possible, so that the drilling equipment can operate as usual. At the same time, it is avoided that the failure of the critical parts affects the normal operation of the drilling equipment and causes delays in the rescue time, thereby ensuring that the drilling equipment can continuously and stably carry out emergency rescue tasks. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] The present invention will be further described below in conjunction with the accompanying drawings.
[0039] Figure 1 It is a schematic diagram of the system framework structure of the present invention;
[0040] Figure 2 It is a schematic diagram of the framework structure of the method of the present invention. DETAILED DESCRIPTION
[0041] 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.
[0042] Embodiment 1
[0043] See also Figure 1-Figure 2 As shown, the present invention is a system for monitoring the operating status of emergency rescue drilling equipment, comprising:
[0044] The data collection end is used to obtain the connection and control relationship between the various parts of the drilling equipment, and to obtain the operating data of various parameters of the drilling equipment when various parts fail;
[0045] The important coefficient generation module obtains the connection and control relationship between the various parts of the drilling equipment, analyzes them, and obtains the important coefficients corresponding to each part according to the analysis results. The specific method is:
[0046] Obtain the number of connected parts corresponding to each part of the drilling equipment, and mark it as La. Connected parts refer to parts that are directly connected or data-transmitted through connecting lines or data control flows, that is, no other intermediate equipment or parts are involved in the middle. The reference a refers to different parts, and a is the part number of different parts, and a = 1, 2, ..., b, where b represents the specific number of different parts, and b ≥ 1;
[0047] The number of active control parts and the number of passive control parts corresponding to each part of the drilling equipment are marked as KAa and KBa respectively, satisfying La = KAa + KBa;
[0048] Here, it should be noted that the actively controlled component refers to other components that are controlled by the corresponding component through power connection or data transmission, and the passively controlled component refers to the corresponding component that is controlled by other components through power connection or data transmission;
[0049] For example, the number of parts that are directly connected or controlled by data transmission through a connecting line or a data control flow is 5, of which 3 are controlled by the power connection or data transmission of this part, and these 3 parts are actively controlled parts of this part, and the number of parts that are controlled by power connection or data transmission of this part is 2, and these 3 parts are passively controlled parts of this part;
[0050] The sum of the products of the number of connection parts, the number of active control parts and the number of passive control parts corresponding to each part of the drilling equipment and the corresponding preset proportional coefficients β1, β2 and β3 is defined as the important coefficient Za corresponding to each part, that is, Za = La × β1 + KAa × β2 + KBa × β3, which actually satisfies 1 = β1 + β2 + β3, β2> β3> β1;
[0051] The importance of each part to the operation of the drilling equipment is expressed by the numerical value of the importance coefficient corresponding to each part. The larger the importance coefficient of the part, the more important it is to the normal operation of the drilling equipment. On the contrary, the smaller the importance coefficient, the smaller the impact on the normal operation of the drilling equipment or even no impact.
[0052] The maintenance difficulty index acquisition module acquires the historical maintenance data corresponding to each part, analyzes it and obtains the maintenance difficulty index corresponding to each part. The specific method is as follows:
[0053] Each historical maintenance data includes maintenance time and maintenance result, and the maintenance result refers to whether the maintenance is successful or failed;
[0054] S1: randomly select one part from each part as the analysis part;
[0055] Obtain maintenance data of the analyzed parts within a preset number of maintenance times n, and mark the maintenance time of the analyzed parts in the n maintenance times as Tn, where n refers to different maintenance time, n=1, 2, ..., e, where e is the number of maintenance time, e≥1;
[0056] S2: Obtain the value Tc of the maintenance time Tn that meets the preset screening condition X1, where c refers to different maintenance times that meet the preset screening condition X1, c=1, 2, ..., f, where f is the number of different maintenance times that meet the preset screening condition X1 in Tn, f≥1, analyze the number f of Tc, when f is greater than the preset threshold value Y1, then use the mean of the maintenance time Tn as the standard maintenance time W1 of the analyzed part, when f is less than or equal to the preset threshold value Y1, then use the mean of the maximum and minimum values in Tn as the standard maintenance time W1 of the analyzed part, and the specific value of the preset threshold value Y1 is formulated by relevant staff according to actual needs;
[0057] The preset screening condition X1 is specifically: |Tn-Tp|>Y2, where Tp is the average value of Tn, Y2 is the preset value, and the specific value is formulated by relevant staff according to actual needs;
[0058] Obtain the number of maintenance failures of the analyzed part in n maintenances, marked as E, and multiply the sum of the ratio between the number of failures and the preset number of maintenance times n and the standard maintenance time W1 of the analyzed part by the correction coefficient β4. The final product is defined as the maintenance difficulty index N1 corresponding to the analyzed part, that is, N1 = (E / n + W1) × β4, where the specific value of the correction coefficient β4 is formulated by relevant staff according to actual needs;
[0059] S3: Repeat the above steps S1-S2 to obtain the maintenance difficulty index Na corresponding to each part of the drilling equipment;
[0060] The maintenance difficulty index Na is used to represent the time and success probability of each component of the drilling equipment once it fails. The larger the maintenance difficulty index Na, the longer the maintenance time required for the corresponding component when it fails, or the lower the probability of successful maintenance, that is, the greater the maintenance difficulty. On the contrary, the smaller the maintenance difficulty index Na, the shorter the maintenance time required for the corresponding component when it fails, or the higher the probability of successful maintenance, that is, the lower the maintenance difficulty. For components with a larger maintenance difficulty index, if they fail during emergency rescue missions, the maintenance difficulty is greater and the maintenance time is longer, and the probability of delays in emergency rescue missions is greater.
[0061] The critical parts marking module marks the critical parts among various parts according to their corresponding importance coefficients and maintenance difficulty coefficients. The specific method is as follows:
[0062] The sum of the importance coefficient and the maintenance difficulty coefficient corresponding to each part is marked as the critical coefficient Ja of each part, and the parts with a critical coefficient greater than the preset value Y3 are marked as critical parts of the drilling equipment. For the parts with a critical coefficient less than or equal to the preset value Y3, no processing is performed, wherein the specific value of Y3 is formulated by relevant personnel according to actual needs;
[0063] By marking the critical parts of the drilling equipment, the parts that are critical to the operation of the equipment and difficult to repair are identified. While the critical parts are of high importance to the normal use of the drilling equipment, the difficulty of repairing them after they fail is also high. Then, by marking the critical parts, the parts of the drilling equipment that need to remain in a stable state when performing emergency rescue tasks are marked, so as to ensure as much as possible that the state of the critical parts of the drilling equipment remains stable when performing emergency rescue tasks, and no failure occurs, so that the drilling equipment can perform emergency rescue tasks normally, so as to ensure the stability of these parts in an emergency, thereby ensuring that the drilling equipment can effectively perform rescue tasks;
[0064] Embodiment 2
[0065] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from the first embodiment only in that the present embodiment further includes a limit warning value acquisition module;
[0066] The limit warning value acquisition module obtains the operating data of various parameters of the drilling equipment when each critical part fails, and analyzes it to obtain the limit warning values corresponding to each parameter of the drilling equipment. The specific method is as follows:
[0067] S01: randomly select one of the parameters of the drilling equipment as the analysis parameter;
[0068] S02: Randomly select a part from each critical part as the target part;
[0069] Obtain the operating data corresponding to the analysis parameters of the drilling equipment when the target part fails r times, and mark them as Hr, where r is the preset number of times. The specific value is determined by relevant personnel according to actual needs, and r≥1;
[0070] The standard deviation U of Hr is calculated by the standard deviation calculation formula. When the standard deviation is less than the preset value Y4, the mean value of Hr is used as the fault parameter value GZ1 of the target part analysis parameter; when the standard deviation is greater than or equal to the preset value Y4, the mean value of the maximum and minimum values of Hr is used as the fault parameter value GZ1 of the target part analysis parameter. The specific value of the preset value Y4 is formulated by relevant personnel according to actual needs and specific application scenarios;
[0071] The standard deviation calculation formula is as follows: Where Hh is any value in Hr, r≥h≥1, and Hp is the mean value of Hr;
[0072] S03: Repeat step S02 to obtain the fault parameter values GZj corresponding to the analysis parameters of each critical component, where j is a different critical component, j=1, 2, ..., k, where k is the number of critical components, b≥k≥1;
[0073] Obtain the minimum value of the fault parameter values GZj corresponding to the analysis parameters of each critical part as the limit warning value JX1 corresponding to the analysis parameter;
[0074] S04: Repeat steps S01-S03 to obtain the limit warning values JXd corresponding to the parameters of the drilling equipment; where d is a different parameter of the drilling equipment, d=1, 2, ..., g, where g is the number of different parameters, g≥1;
[0075] The limit warning values corresponding to the parameters of the drilling equipment are set as the parameter warning values corresponding to the parameters under the limit instruction module of the drilling equipment;
[0076] The limit instruction warning parameter generation module sets the limit instruction, matches the parameter warning values corresponding to the parameters of the drilling equipment with the limit instruction, generates the limit instruction warning parameter table, and when the drilling equipment is performing emergency rescue operations, adjusts the drilling equipment to the limit instruction, and refers to the limit instruction warning parameter table to make the parameter warning values of the parameters of the drilling equipment correspond to the limit warning values of the parameters;
[0077] By matching the parameter warning values corresponding to each parameter of the drilling equipment with the limit instructions, when the drilling equipment is performing emergency rescue operations, the drilling equipment is adjusted to the limit instruction control module, so that the parameter warning values corresponding to each parameter of the drilling equipment are at the limit warning values of each parameter, and the warning limit values of each parameter of the equipment are increased. On the premise of ensuring the normal operation of the drilling equipment, it is ensured that important parts are not easily damaged as much as possible, so that the drilling equipment can operate as usual. At the same time, it is avoided that the failure of important parts affects the normal operation of the drilling equipment and causes delays in the rescue time, so as to ensure that the drilling equipment can continuously and stably carry out emergency rescue tasks.
[0078] Embodiment 3
[0079] As the third embodiment of the present invention, when the present application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments mentioned above for implementation.
[0080] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.
[0081] 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 emergency rescue drilling equipment operation status monitoring system, characterized in that: include: The important coefficient generation module analyzes the connection and control relationship between the various parts of the drilling equipment, obtains the important coefficients corresponding to each part, and is used to indicate the importance of the parts to the operation of the drilling equipment; The maintenance difficulty index acquisition module analyzes the historical maintenance data corresponding to each part and obtains the maintenance difficulty index corresponding to each part, which is used to indicate the difficulty of repairing the part when it fails; The critical parts marking module marks the critical parts among various parts according to their corresponding importance coefficients and maintenance difficulty coefficients; The limit warning value acquisition module analyzes the operating data of various parameters of the drilling equipment when various critical parts fail, and obtains the limit warning values corresponding to each parameter of the drilling equipment; The limit instruction control module matches the parameter warning values corresponding to various parameters of the drilling equipment with the limit instructions to generate a limit instruction warning parameter table; The specific method for obtaining the important coefficients corresponding to each part is: Obtain the number of connection parts corresponding to each part of the drilling equipment, the number of active control parts and the number of passive control parts corresponding to each part of the drilling equipment, and define the sum of the products of the number of connection parts corresponding to each part of the drilling equipment, the number of active control parts corresponding to each part and the number of passive control parts corresponding to each part and their corresponding preset proportional coefficients β1, β2 and β3 as the important coefficient Za corresponding to each part; Wherein a refers to different parts, and a is the part number of different parts, and a=1, 2, ..., b, wherein b represents the specific number of different parts, b≥1, 1=β1+β2+β3 and β2>β3>β1; The specific method of obtaining the maintenance difficulty index corresponding to each part is as follows: S1: Randomly obtain one part from each part as an analysis part, analyze the maintenance time Tn of the part in n maintenances, and obtain the value Tc of the maintenance time Tn that meets the preset screening condition X1, where n refers to different maintenance times, n=1, 2, ..., e, where e is the number of maintenance times, e≥1, and c refers to different maintenance times that meet the preset screening condition X1, c=1, 2, ..., f, f≥1; When f is greater than the preset threshold value Y1, the mean of the maintenance time Tn is used as the standard maintenance time W1 of the analyzed part; when f is less than or equal to the preset threshold value Y1, the mean of the maximum and minimum values in Tn is used as the standard maintenance time W1 of the analyzed part; Obtain the number of maintenance failures of the analyzed part in n maintenances, marked as E, and multiply the sum of the ratio between the failure number and the preset maintenance number n and the standard maintenance time W1 of the analyzed part by the correction coefficient β4, and define the final product as the maintenance difficulty index N1 corresponding to the analyzed part; S2: Repeat the above step S2 to obtain the maintenance difficulty index Na corresponding to each part of the drilling equipment; The specific method for marking the important parts among the various parts is: The sum of the importance coefficient and the maintenance difficulty coefficient corresponding to each part is marked as the critical coefficient of each part, and the parts with a critical coefficient greater than the preset value Y3 are marked as critical parts of the drilling equipment. For the parts with a critical coefficient less than or equal to the preset value Y3, no processing is performed.
2. The emergency rescue drilling equipment operation status monitoring system according to claim 1, characterized in that: The preset screening condition X1 is specifically: |Tn-Tp|>Y2, wherein Tp is the average value of Tn, and Y2 is a preset value.
3. The emergency rescue drilling equipment operation status monitoring system according to claim 1, characterized in that: The specific method of obtaining the limit warning values corresponding to each parameter of the drilling equipment is as follows: S01: randomly select one of the parameters of the drilling equipment as the analysis parameter; S02: Randomly select a part from each critical part as the target part; Obtain the operating data Hr corresponding to the analysis parameters of the drilling equipment when the target part fails r times, where r is the preset number of times, r≥1; The standard deviation U of Hr is calculated by the standard deviation calculation formula. When the standard deviation is less than the preset value Y4, the mean value of Hr is used as the fault parameter value GZ1 of the target part analysis parameter; When the standard deviation is greater than or equal to the preset value Y4, the mean of the maximum and minimum values of Hr is used as the fault parameter value GZ1 of the target part analysis parameter. S03: repeat step S02 to obtain the fault parameter values corresponding to the analysis parameters of each critical part, and take the minimum value as the limit warning value JX1 corresponding to the analysis parameter; S04: Repeat steps S01-S03 to obtain the limit warning value JXd corresponding to each parameter of the drilling equipment, where d is a different parameter of the drilling equipment, d=1, 2, ..., g, where g is the number of different parameters, g≥1.
4. The emergency rescue drilling equipment operation status monitoring system according to claim 3, characterized in that: The specific standard deviation calculation formula is: Where Hh is any value in Hr, r≥h≥1, and Hp is the mean value of Hr.
5. The emergency rescue drilling equipment operation status monitoring system according to claim 4, characterized in that: The specific method of generating the limit instruction warning parameter table is: Set limit instructions, match the parameter warning values corresponding to each parameter of the drilling equipment with the limit instructions, and generate a limit instruction warning parameter table. When the drilling equipment is performing emergency rescue operations, adjust the drilling equipment to the limit instructions, and refer to the limit instruction warning parameter table to make the parameter warning values of each parameter of the drilling equipment correspond to the limit warning values of each parameter.
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