Water repellent agent production fault management and control system based on data analysis

Abstract

The invention relates to the technical field of water repellent agent production equipment management and control, in particular to a water repellent agent production fault management and control system based on data analysis, which comprises a supervision platform, a data acquisition unit, an operation supervision unit, a pneumatic self-inspection unit, an interference production unit, an indirect influence unit, a biosafety assessment unit and an operation and maintenance management unit. According to the method, the overall operation safety of the production and filling of the water repellent agent is analyzed directly and indirectly, that is, evaluation and analysis are carried out from the direct influence coefficient ZY and the indirect influence evaluation coefficient J, so that the accuracy of the analysis result is improved, early warning management can be carried out in time, and the safety of the production and filling of the water repellent agent is improved. According to the water-resistant agent production equipment, the whole operation safety of water-resistant agent production is guaranteed, the equipment is reasonably and specifically controlled according to different control levels, the production efficiency and quality of the water-resistant agent are improved, and meanwhile the operation safety and stability of the water-resistant agent production filling equipment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water repellent production equipment control, and in particular to a water repellent production fault control system based on data analysis. Background Art

[0002] Water repellent is a commonly used additive in papermaking technology. In order to make paper waterproof or water-resistant, water repellent is usually compounded in the coating applied on the surface of paper, thereby reducing the water solubility of the coating on the surface of the printed matter, and increasing the wet friction resistance and pick strength of the paper, effectively improving the printability of the coated paper, and reducing the phenomenon of hair loss and powder loss. At present, the commonly used water repellents in the coatings for paper coating mainly include three categories: polyamide epoxy resins, metal salts and amino resins; However, in the existing water-repellent production and filling process, it is impossible to supervise and warn the overall safety of the water-repellent production and filling, which affects the efficiency and quality of the water-repellent production and filling. In addition, the traditional technology supervises the water-repellent production and filling equipment, and the collected data is too single, resulting in large errors in the analysis results, thereby reducing the control effect and management rationality of the equipment, and affecting the safety and stability of the equipment operation. In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a water-repellent agent production fault control system based on data analysis to solve the above-mentioned technical defects. The present invention analyzes the overall operational safety of water-repellent agent production and filling from both direct and indirect perspectives, that is, by evaluating and analyzing from two perspectives: direct impact coefficient ZY and indirect impact evaluation coefficient J. This helps to improve the accuracy of the analysis results so that early warning management can be carried out in a timely manner to ensure the overall operational safety of water-repellent agent production, and to reasonably and targetedly control the equipment according to different control levels to improve the production efficiency and quality of the water-repellent agent, while helping to improve the operational safety and stability of water-repellent agent production and filling equipment.

[0004] The object of the present invention can be achieved by the following technical solutions: a water-repellent production fault control system based on data analysis, including a supervision platform, a data acquisition unit, an operation supervision unit, a pneumatic self-checking unit, a production interference unit, an indirect impact unit, a biosafety assessment unit, and an operation and maintenance management unit; When the supervision platform generates an operation management instruction, it immediately sends the operation management instruction to the data acquisition unit. After receiving the operation management instruction, the data acquisition unit immediately collects the status data and transportation data of the water-repellent production filling equipment. The status data includes the operation risk value and the interference multiplier value, and the transportation data includes the pressure value of the pipeline and the operation value of the air pump. The status data and transportation data are sent to the operation supervision unit and the pneumatic self-test unit respectively. After receiving the status data, the operation supervision unit immediately performs a safe operation supervision assessment and analysis on the status data, sends the obtained performance span value and risk operation number to the interference production unit, and sends the obtained risk signal to the operation and maintenance management unit; After receiving the transport data, the pneumatic self-checking unit immediately conducts transport supervision feedback evaluation and analysis on the transport data, and sends the obtained abnormal signal to the operation and maintenance management unit; After receiving the performance span value and the risk operation number, the interference production unit immediately performs a direct production impact assessment operation on the performance span value and the risk operation number, and sends the obtained direct impact coefficient ZY to the indirect impact unit and the life safety assessment unit; After receiving the direct impact coefficient ZY, the indirect impact unit immediately collects the impact data of the water repellent production filling equipment, including the management risk value of the operator and the potential impact value of the equipment, and performs a production safety impact assessment operation on the impact data, and sends the obtained indirect impact assessment coefficient J to the biosafety assessment unit; After receiving the direct impact coefficient ZY and the indirect impact assessment coefficient J, the life safety assessment unit immediately conducts an in-depth data integration assessment and analysis of the direct impact coefficient ZY and the indirect impact assessment coefficient J, and sends the obtained first-level control signal, second-level control signal, and third-level control signal to the operation and maintenance management unit.

[0005] Preferably, the safe operation supervision assessment and analysis process of the operation supervision unit is as follows: T1: The duration of the water-repellent production filling equipment starting to move for a period of time is collected and marked as the time threshold. The time threshold is divided into o sub-time periods, where o is a natural number greater than zero. The operation risk value of the equipment in each sub-time period is obtained. The operation risk value represents the value obtained by multiplying the vibration risk value of the equipment in the sub-time period by the value corresponding to the abnormal sound span value. The vibration risk value represents the ratio of the part of the average vibration amplitude value of the equipment in the sub-time period that exceeds the preset average vibration amplitude value threshold to the preset average vibration amplitude value threshold. The abnormal sound span value represents the difference between the maximum abnormal sound value and the minimum abnormal sound value of the equipment in the sub-time period. Then, a set A of operation risk values ​​is constructed, the maximum subset and the minimum subset in set A are obtained, and the difference between the maximum subset and the minimum subset in set A is marked as the performance span value; T2: Obtain the interference multiplier value of the equipment in each sub-time period. The interference multiplier value represents the product of the heat conduction value inside the equipment in the sub-time period and the average dust thickness value of the line connection port after data normalization. The heat conduction value represents the value obtained by multiplying the portion of the ventilation volume per unit time that is less than the preset ventilation volume per unit time threshold with the data corresponding to the average temperature value, and compare and analyze the interference multiplier value with the stored preset interference multiplier value threshold. If the interference multiplier value is greater than the preset interference multiplier value threshold, the total number of sub-time periods corresponding to the interference multiplier value greater than the preset interference multiplier value threshold is marked as the number of risk operations; T3: Compare and analyze the performance span value and risk operation number with the preset performance span threshold and preset risk operation number threshold stored internally: If the performance span value is less than the preset performance span value threshold, and the risk run number is less than the preset risk run number threshold, no signal is generated; If the performance span value is greater than or equal to a preset performance span value threshold, or the risk run number is greater than or equal to a preset risk run number threshold, a risk signal is generated.

[0006] Preferably, the transport supervision feedback evaluation and analysis process of the pneumatic self-test unit is as follows: The pneumatic pipeline is divided into i sub-length segments, where i is a natural number greater than zero, and the pressure value in each sub-length segment is obtained. A set B of pressure values ​​is constructed in sequence, and the difference between two connected subsets in the set B is obtained. Then, the mean of the difference between two connected subsets in the set B is obtained and marked as the pipe leakage risk value; The operating value of the air pump inside the pneumatic system of the water-repellent production filling equipment within the time threshold is obtained. The operating value represents the product of the average operating voltage of the air pump and the part of the temperature value exceeding the preset temperature value threshold after data normalization, and the operating value is compared and analyzed with the stored preset operating value threshold. If the operating value is greater than the preset operating value threshold, the part of the operating value greater than the preset operating value threshold is marked as an imbalance value, and the pipe leakage risk value and the imbalance value are compared and analyzed with the preset pipe leakage risk value threshold and the preset imbalance value threshold that are internally entered and stored: If the leakage risk value is less than the preset leakage risk value threshold, and the imbalance value is less than the preset imbalance value threshold, no signal is generated; If the leakage risk value is greater than or equal to the preset leakage risk value threshold, or the imbalance value is greater than or equal to the preset imbalance value threshold, an abnormal signal is generated.

[0007] Preferably, the direct production impact assessment operation process of the interference production unit is as follows: Retrieve the pipe leakage risk value and imbalance value from the pneumatic self-test unit, and obtain the performance span value and risk operation number at the same time, and label the pipe leakage risk value, imbalance value, performance span value and risk operation number as GX, SH, BX and FY respectively; According to the formula The direct impact coefficient is obtained, where a1, a2, a3 and a4 are the preset proportional factor coefficients of the pipe leakage risk value, imbalance value, performance span value and risk operation number respectively, a1, a2, a3 and a4 are all positive numbers greater than zero, a5 is the preset correction factor coefficient, and ZY is the direct impact coefficient.

[0008] Preferably, the safety production impact assessment operation process of the indirect impact unit is as follows: S1: Obtain the management risk value of the operator of the water-repellent production filling equipment within the time threshold. The management risk value represents the product of the number of times the operator leaves the equipment operation area exceeding the preset standard number of times and the ratio between the total time the operator is away and the equipment working time after data normalization. At the same time, obtain the number of wrong operations of the operator within the total time of the operator's historical operation of the equipment, and then obtain the operator's error frequency, and mark the product of the error frequency and the management risk value after data normalization as the management capability coefficient GX; S2: Obtain the potential impact value of the water repellent production filling equipment within the time threshold, the potential impact value represents the product of the equipment's failure frequency, maintenance frequency, and average maintenance interval after data normalization, and compare and analyze the potential impact value with the stored preset potential impact value threshold. If the potential impact value is greater than the preset potential impact value threshold, the ratio between the portion of the potential impact value greater than the preset potential impact value threshold and the potential impact value is marked as a potential multiple value QB; S3: According to the formula The indirect impact assessment coefficient is obtained, where f1 and f2 are the preset weight factor coefficients of the management capacity coefficient and the potential multiplier value respectively, both f1 and f2 are positive numbers greater than zero, f3 is the preset compensation factor coefficient, and its value is 1.227, and J is the indirect impact assessment coefficient.

[0009] Preferably, the in-depth data integration assessment and analysis process of the biosafety assessment unit is as follows: The direct impact coefficient ZY and the indirect impact assessment coefficient J are obtained, and the production risk assessment coefficient SA is obtained according to the formula. The production risk assessment coefficient SA is analyzed with the preset production risk assessment coefficient threshold value stored in the internal entry: If the ratio of the production risk assessment coefficient SA to the preset production risk assessment coefficient threshold is less than or equal to 1, no signal is generated; If the ratio of the production risk assessment coefficient SA to the preset production risk assessment coefficient threshold is greater than 1, a control instruction is generated. When the control instruction is generated, the part of the production risk assessment coefficient SA that exceeds the preset production risk assessment coefficient threshold is immediately obtained, and the ratio between the part of the production risk assessment coefficient SA that exceeds the preset production risk assessment coefficient threshold and the preset production risk assessment coefficient threshold is marked as the production control value, and the production control value is compared and analyzed with the preset production control value interval stored in the internal entry: If the production control value is greater than the maximum value in the preset production control value range, a first-level control signal is generated; If the production control value belongs to the preset production control value range, a secondary control signal is generated; If the production control value is less than the minimum value in the preset production control value range, a third-level control signal is generated.

[0010] The beneficial effects of the present invention are as follows: (1) The present invention analyzes the overall operational safety of water repellent production and filling from two perspectives, directly and indirectly, that is, by evaluating and analyzing from two perspectives, namely, the direct impact coefficient ZY and the indirect impact evaluation coefficient J, which helps to improve the accuracy of the analysis results, so as to carry out early warning management in a timely manner to ensure the overall operational safety of water repellent production, and to reasonably and specifically control the equipment according to different control levels to improve the production efficiency and quality of water repellent; (2) The present invention analyzes from a direct perspective, that is, by performing a safe operation supervision and evaluation analysis on the status data to determine whether the operating status of the water-repellent agent production and filling equipment is normal, so as to timely manage the water-repellent agent production and filling equipment to improve the operating safety and stability of the water-repellent agent production and filling equipment. The present invention performs a delivery supervision feedback evaluation analysis on the delivery data to determine whether the pneumatic system of the water-repellent agent production and filling equipment is normal, so as to timely replace and maintain the pipeline to ensure the sealing of the pipeline and avoid leakage of the water-repellent agent. The present invention analyzes from an indirect perspective, that is, performing a safe production impact assessment operation on the impact data to understand the indirect impact of the water-repellent agent production and filling equipment during operation, so as to provide data support for the overall safety assessment of the water-repellent agent production to ensure the accuracy of the analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention will be further described below in conjunction with the accompanying drawings; Figure 1 It is a flowchart of the system of the present invention; Figure 2 This is a reference diagram for analysis of the first embodiment of the present invention. DETAILED DESCRIPTION

[0012] 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.

[0013] Embodiment 1: See also Figure 1 to Figure 2 As shown, the present invention is a water-repellent production fault control system based on data analysis, including a supervision platform, a data acquisition unit, an operation supervision unit, a pneumatic self-test unit, an interference production unit, an indirect impact unit, a life safety assessment unit and an operation and maintenance management unit, the supervision platform is connected to the data acquisition unit in a one-way communication, the data acquisition unit is connected to the operation supervision unit and the pneumatic self-test unit in a one-way communication, the operation supervision unit and the pneumatic self-test unit are connected to the interference production unit and the operation and maintenance management unit in a one-way communication, the interference production unit is connected to the indirect impact unit and the life safety assessment unit in a one-way communication, the indirect impact unit is connected to the life safety assessment unit in a one-way communication, and the life safety assessment unit is connected to the operation and maintenance management unit in a one-way communication; When the supervision platform generates an operation management instruction, it immediately sends the operation management instruction to the data acquisition unit. After receiving the operation management instruction, the data acquisition unit immediately collects the status data and transportation data of the water-repellent production and filling equipment. The status data includes the operation risk value and the interference ratio value, and the transportation data includes the pressure value of the pipeline and the operation value of the air pump. The status data and transportation data are sent to the operation supervision unit and the pneumatic self-test unit respectively. After receiving the status data, the operation supervision unit immediately performs a safe operation supervision evaluation and analysis on the status data to determine whether the operating status of the water-repellent production and filling equipment is normal, so as to timely manage the water-repellent production and filling equipment to improve the operating safety and stability of the water-repellent production and filling equipment. The specific safe operation supervision evaluation and analysis process is as follows: The duration of the water-repellent production filling equipment starting to move for a period of time is collected and marked as the time threshold. The time threshold is divided into o sub-time periods, where o is a natural number greater than zero. The operation risk value of the equipment in each sub-time period is obtained. The operation risk value represents the value obtained by multiplying the vibration risk value of the equipment in the sub-time period by the value corresponding to the abnormal sound span value. The vibration risk value represents the ratio between the portion of the average vibration amplitude value of the equipment in the sub-time period that exceeds the preset average vibration amplitude value threshold and the preset average vibration amplitude value threshold. The abnormal sound span value represents the difference between the maximum abnormal sound value and the minimum abnormal sound value of the equipment in the sub-time period. Then, a set A of operation risk values ​​is constructed, the maximum subset and the minimum subset in the set A are obtained, and the difference between the maximum subset and the minimum subset in the set A is marked as the performance span value. The value that needs to be explained is that the performance span value is an influencing parameter reflecting the operating status of the equipment. The larger the value of the performance span value, the greater the risk of abnormal operation of the equipment. Obtain the interference multiplier value of the equipment in each sub-time period, the interference multiplier value represents the product value of the heat conduction value inside the equipment in the sub-time period and the average dust thickness value of the line connection port after data normalization processing, the heat conduction value represents the value obtained by multiplying the part of the ventilation volume per unit time that is less than the preset ventilation volume per unit time threshold with the data corresponding to the average temperature value, and compare and analyze the interference multiplier value with the stored preset interference multiplier value threshold, if the interference multiplier value is greater than the preset interference multiplier value threshold, then the total number of sub-time periods corresponding to the interference multiplier value greater than the preset interference multiplier value threshold is marked as the risk operation number, which needs to be explained. The risk operation number is an influencing parameter reflecting the operating status of the equipment; The performance span value and the risk operation number are sent to the interference production unit, and the performance span value and the risk operation number are compared and analyzed with the preset performance span threshold value and the preset risk operation number threshold value stored in the unit: If the performance span value is less than the preset performance span value threshold, and the risk run number is less than the preset risk run number threshold, no signal is generated; If the performance span value is greater than or equal to the preset performance span value threshold, or the risk operation number is greater than or equal to the preset risk operation number threshold, a risk signal is generated and sent to the operation and maintenance management unit. After receiving the risk signal, the operation and maintenance management unit immediately displays the preset warning text corresponding to the risk signal, thereby reminding the operation management personnel to maintain and manage the equipment in a timely manner to ensure the safety and stability of the equipment operation, and at the same time help to improve the supervision and warning effect of the equipment; After receiving the conveying data, the pneumatic self-test unit immediately conducts a conveying supervision feedback evaluation and analysis on the conveying data to determine whether the pneumatic system of the water-repellent production and filling equipment is normal, so as to replace and maintain the pipeline in time to ensure the sealing of the pipeline and avoid leakage of the water-repellent. The specific conveying supervision feedback evaluation and analysis process is as follows: The pneumatic pipeline is divided into i sub-length segments, where i is a natural number greater than zero, and the pressure value in each sub-length segment is obtained. A set B of pressure values ​​is constructed in sequence, and the difference between two connected subsets in the set B is obtained. Then, the mean of the difference between two connected subsets in the set B is obtained, and it is marked as the pipe leakage risk value. It should be noted that the larger the value of the pipe leakage risk value, the greater the abnormal risk of the pneumatic system of the water-repellent production and filling equipment, and the greater the impact on the water-repellent production and filling; The operating value of the air pump inside the pneumatic system of the water-repellent agent production and filling equipment within the time threshold is obtained. The operating value represents the product of the average operating voltage of the air pump and the part of the temperature value exceeding the preset temperature value threshold after data normalization, and the operating value is compared and analyzed with the stored preset operating value threshold. If the operating value is greater than the preset operating value threshold, the part of the operating value greater than the preset operating value threshold is marked as an imbalance value. It should be noted that the larger the value of the imbalance value, the greater the risk of abnormality of the pneumatic system of the water-repellent agent production and filling equipment; Compare and analyze the pipe leakage risk value and imbalance value with the preset pipe leakage risk value threshold and preset imbalance value threshold that are stored internally: If the leakage risk value is less than the preset leakage risk value threshold, and the imbalance value is less than the preset imbalance value threshold, no signal is generated; If the pipe leakage risk value is greater than or equal to the preset pipe leakage risk value threshold, or the imbalance value is greater than or equal to the preset imbalance value threshold, an abnormal signal is generated and sent to the operation and maintenance management unit. After receiving the abnormal signal, the operation and maintenance management unit immediately displays the preset warning text corresponding to the abnormal signal, thereby reminding the operation and management personnel to maintain and manage the pneumatic system of the equipment in a timely manner to ensure the production and filling efficiency of the water repellent agent, and at the same time help to improve the operation safety of the equipment; After receiving the performance span value and the risk operation number, the interference production unit immediately performs a direct production impact assessment operation on the performance span value and the risk operation number to understand the direct impact of the water repellent production filling equipment during operation, so as to provide data support for the overall safety assessment of the water repellent production. The specific direct production impact assessment operation process is as follows: Retrieve the pipe leakage risk value and imbalance value from the pneumatic self-test unit, and obtain the performance span value and risk operation number at the same time, and label the pipe leakage risk value, imbalance value, performance span value and risk operation number as GX, SH, BX and FY respectively; According to the formula The direct impact coefficient is obtained, where a1, a2, a3 and a4 are respectively the preset proportional factor coefficients of the pipe leakage risk value, imbalance value, performance span value and risk operation number. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. a1, a2, a3 and a4 are all positive numbers greater than zero, a5 is the preset correction factor coefficient, ZY is the direct impact coefficient, and the direct impact coefficient ZY is sent to the indirect impact unit and the life safety assessment unit.

[0014] Embodiment 2: After receiving the direct impact coefficient ZY, the indirect impact unit immediately collects the impact data of the water repellent production filling equipment, which includes the management risk value of the operator and the potential impact value of the equipment, and performs a safety production impact assessment on the impact data to understand the indirect impact of the water repellent production filling equipment during operation, so as to provide data support for the overall safety assessment of the water repellent production and ensure the accuracy of the analysis results. The specific safety production impact assessment operation process is as follows: The management risk value of the operator of the water-repellent production filling equipment within the time threshold is obtained. The management risk value represents the product value obtained by normalizing the number of times the operator leaves the equipment operation area in excess of the preset standard number of times and the ratio between the total time the operator leaves and the equipment working time. At the same time, the number of erroneous operations within the total time the operator has operated the equipment in history is obtained, and then the error frequency of the operator is obtained. The product value obtained by normalizing the error frequency and the management risk value is marked as the management capability coefficient GX. It should be noted that the larger the value of the management capability coefficient GX, the greater the risk of erroneous operation of the water-repellent production filling equipment, and the greater the risk of affecting the normal operation of the equipment. The potential impact value of the water repellent production filling equipment within the time threshold is obtained, and the potential impact value represents the product value of the equipment's failure frequency, maintenance frequency, and average maintenance interval after data normalization processing, and the potential impact value is compared and analyzed with the stored preset potential impact value threshold. If the potential impact value is greater than the preset potential impact value threshold, the ratio between the portion of the potential impact value greater than the preset potential impact value threshold and the potential impact value is marked as the potential multiple value QB. It should be noted that the larger the value of the potential multiple value QB is, the greater the potential abnormal risk of the water repellent production filling equipment is; According to the formula The indirect impact assessment coefficient is obtained, where f1 and f2 are respectively the preset weight factor coefficients of the management capability coefficient and the potential multiple value, f1 and f2 are both positive numbers greater than zero, f3 is the preset compensation factor coefficient, and the value is 1.227, and J is the indirect impact assessment coefficient, and the indirect impact assessment coefficient J is sent to the biosafety assessment unit; After receiving the direct impact coefficient ZY and the indirect impact assessment coefficient J, the biosafety assessment unit immediately conducts an in-depth data integration assessment and analysis of the direct impact coefficient ZY and the indirect impact assessment coefficient J to determine whether the overall operation of the water repellent production is safe, so as to conduct early warning management in a timely manner, and to conduct reasonable and targeted management and control of the equipment according to different management levels to improve the production efficiency and quality of the water repellent. The specific in-depth data integration assessment and analysis process is as follows: Obtain the direct impact coefficient ZY and the indirect impact evaluation coefficient J; According to the formula The production risk assessment coefficient is obtained, where c1 and c2 are preset proportional coefficients of the direct impact coefficient and the indirect impact assessment coefficient, respectively. Both c1 and c2 are positive numbers greater than zero. c3 is a preset fault tolerance factor coefficient with a value of 1.324. SA is a production risk assessment coefficient. The size of the coefficient is a specific value obtained by quantifying each parameter to facilitate subsequent comparison. The size of the coefficient depends on the amount of sample data and the corresponding coefficients preliminarily set by technicians in this field for each group of sample data. The production risk assessment coefficient SA is analyzed with the preset production risk assessment coefficient threshold value stored in the internal entry: If the ratio of the production risk assessment coefficient SA to the preset production risk assessment coefficient threshold is less than or equal to 1, no signal is generated; If the ratio of the production risk assessment coefficient SA to the preset production risk assessment coefficient threshold is greater than 1, a control instruction is generated. When the control instruction is generated, the part of the production risk assessment coefficient SA that exceeds the preset production risk assessment coefficient threshold is immediately obtained, and the ratio between the part of the production risk assessment coefficient SA that exceeds the preset production risk assessment coefficient threshold and the preset production risk assessment coefficient threshold is marked as the production control value, and the production control value is compared and analyzed with the preset production control value interval stored in the internal entry: If the production control value is greater than the maximum value in the preset production control value range, a first-level control signal is generated; If the production control value belongs to the preset production control value range, a secondary control signal is generated; If the production control value is less than the minimum value in the preset production control value interval, a three-level control signal is generated, wherein the control degrees corresponding to the first-level control signal, the second-level control signal and the third-level control signal are successively reduced, and the first-level control signal, the second-level control signal and the third-level control signal are sent to the operation and maintenance management unit. After receiving the first-level control signal, the second-level control signal and the third-level control signal, the operation and maintenance management unit immediately makes the preset early warning operations corresponding to the first-level control signal, the second-level control signal and the third-level control signal, so as to carry out early warning management in time, so as to ensure the overall operation safety of the water-repellent agent production, and reasonably and specifically control the equipment according to different control levels, so as to improve the production efficiency and quality of the water-repellent agent; In summary, the present invention analyzes the overall operational safety of water-repellent production and filling from two perspectives, directly and indirectly, that is, by evaluating and analyzing from two perspectives, the direct impact coefficient ZY and the indirect impact evaluation coefficient J, which helps to improve the accuracy of the analysis results, so as to carry out early warning management in a timely manner to ensure the overall operational safety of water-repellent production, and to reasonably and targetedly control the equipment according to different control levels to improve the production efficiency and quality of water-repellent, and analyze from a direct perspective, that is, by conducting a safe operation supervision evaluation analysis on the status data, to determine whether the operating status of the water-repellent production and filling equipment is normal In order to manage the water-repellent production and filling equipment in time, so as to improve the operation safety and stability of the water-repellent production and filling equipment, and to conduct transportation supervision feedback evaluation and analysis on the transportation data, in order to determine whether the pneumatic system of the water-repellent production and filling equipment is normal, so as to replace and maintain the pipeline in time to ensure the sealing of the pipeline and avoid leakage of the water-repellent. From an indirect perspective, that is, to conduct a production safety impact assessment operation on the influencing data, in order to understand the indirect impact of the water-repellent production and filling equipment during operation, so as to provide data support for the overall safety assessment of the water-repellent production, so as to ensure the accuracy of the analysis results.

[0015] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0016] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. The water repellent production fault control system based on data analysis is characterized by: It includes supervision platform, data collection unit, operation supervision unit, pneumatic self-check unit, production interference unit, indirect impact unit, life safety assessment unit and operation and maintenance management unit; When the supervision platform generates an operation management instruction, it immediately sends the operation management instruction to the data acquisition unit. After receiving the operation management instruction, the data acquisition unit immediately collects the status data and transportation data of the water-repellent production filling equipment. The status data includes the operation risk value and the interference multiplier value, and the transportation data includes the pressure value of the pipeline and the operation value of the air pump. The status data and transportation data are sent to the operation supervision unit and the pneumatic self-test unit respectively. After receiving the status data, the operation supervision unit immediately performs a safe operation supervision assessment and analysis on the status data, sends the obtained performance span value and risk operation number to the interference production unit, and sends the obtained risk signal to the operation and maintenance management unit; After receiving the transport data, the pneumatic self-checking unit immediately conducts transport supervision feedback evaluation and analysis on the transport data, and sends the obtained abnormal signal to the operation and maintenance management unit; After receiving the performance span value and the risk operation number, the interference production unit immediately performs a direct production impact assessment operation on the performance span value and the risk operation number, and sends the obtained direct impact coefficient ZY to the indirect impact unit and the life safety assessment unit; After receiving the direct impact coefficient ZY, the indirect impact unit immediately collects the impact data of the water repellent production filling equipment, including the management risk value of the operator and the potential impact value of the equipment, and performs a production safety impact assessment operation on the impact data, and sends the obtained indirect impact assessment coefficient J to the biosafety assessment unit; After receiving the direct impact coefficient ZY and the indirect impact assessment coefficient J, the life safety assessment unit immediately conducts an in-depth data integration assessment and analysis of the direct impact coefficient ZY and the indirect impact assessment coefficient J, and sends the obtained first-level control signal, second-level control signal, and third-level control signal to the operation and maintenance management unit.

2. The water repellent production fault management and control system based on data analysis according to claim 1 is characterized in that: The safety operation supervision assessment and analysis process of the operation supervision unit is as follows: T1: The duration of the water-repellent production filling equipment starting to move for a period of time is collected and marked as the time threshold. The time threshold is divided into o sub-time periods, where o is a natural number greater than zero. The operation risk value of the equipment in each sub-time period is obtained. The operation risk value represents the value obtained by multiplying the vibration risk value of the equipment in the sub-time period by the value corresponding to the abnormal sound span value. The vibration risk value represents the ratio of the part of the average vibration amplitude value of the equipment in the sub-time period that exceeds the preset average vibration amplitude value threshold to the preset average vibration amplitude value threshold. The abnormal sound span value represents the difference between the maximum abnormal sound value and the minimum abnormal sound value of the equipment in the sub-time period. Then, a set A of operation risk values ​​is constructed, the maximum subset and the minimum subset in set A are obtained, and the difference between the maximum subset and the minimum subset in set A is marked as the performance span value; T2: Obtain the interference multiplier value of the equipment in each sub-time period. The interference multiplier value represents the product of the heat conduction value inside the equipment in the sub-time period and the average dust thickness value of the line connection port after data normalization. The heat conduction value represents the value obtained by multiplying the portion of the ventilation volume per unit time that is less than the preset ventilation volume per unit time threshold with the data corresponding to the average temperature value, and compare and analyze the interference multiplier value with the stored preset interference multiplier value threshold. If the interference multiplier value is greater than the preset interference multiplier value threshold, the total number of sub-time periods corresponding to the interference multiplier value greater than the preset interference multiplier value threshold is marked as the number of risk operations; T3: Compare and analyze the performance span value and risk operation number with the preset performance span threshold and preset risk operation number threshold stored internally: If the performance span value is less than the preset performance span value threshold, and the risk run number is less than the preset risk run number threshold, no signal is generated; If the performance span value is greater than or equal to a preset performance span value threshold, or the risk run number is greater than or equal to a preset risk run number threshold, a risk signal is generated.

3. The water repellent production fault management and control system based on data analysis according to claim 1 is characterized in that: The transport supervision feedback evaluation and analysis process of the pneumatic self-test unit is as follows: The pneumatic pipeline is divided into i sub-length segments, where i is a natural number greater than zero, and the pressure value in each sub-length segment is obtained. A set B of pressure values ​​is constructed in sequence, and the difference between two connected subsets in the set B is obtained. Then, the mean of the difference between two connected subsets in the set B is obtained and marked as the pipe leakage risk value; The operating value of the air pump inside the pneumatic system of the water-repellent production filling equipment within the time threshold is obtained. The operating value represents the product of the average operating voltage of the air pump and the part of the temperature value exceeding the preset temperature value threshold after data normalization, and the operating value is compared and analyzed with the stored preset operating value threshold. If the operating value is greater than the preset operating value threshold, the part of the operating value greater than the preset operating value threshold is marked as an imbalance value, and the pipe leakage risk value and the imbalance value are compared and analyzed with the preset pipe leakage risk value threshold and the preset imbalance value threshold that are internally entered and stored: If the leakage risk value is less than the preset leakage risk value threshold, and the imbalance value is less than the preset imbalance value threshold, no signal is generated; If the leakage risk value is greater than or equal to the preset leakage risk value threshold, or the imbalance value is greater than or equal to the preset imbalance value threshold, an abnormal signal is generated.

4. The water repellent production fault management and control system based on data analysis according to claim 1 is characterized in that: The direct production impact assessment operation process of the interference production unit is as follows: Retrieve the pipe leakage risk value and imbalance value from the pneumatic self-test unit, and obtain the performance span value and risk operation number at the same time, and label the pipe leakage risk value, imbalance value, performance span value and risk operation number as GX, SH, BX and FY respectively; According to the formula The direct impact coefficient is obtained, where a1, a2, a3 and a4 are the preset proportional factor coefficients of the pipe leakage risk value, imbalance value, performance span value and risk operation number respectively, a1, a2, a3 and a4 are all positive numbers greater than zero, a5 is the preset correction factor coefficient, and ZY is the direct impact coefficient.

5. The water repellent production fault management and control system based on data analysis according to claim 1 is characterized in that: The operation process of the safety production impact assessment of the indirect impact unit is as follows: S1: Obtain the management risk value of the operator of the water-repellent production filling equipment within the time threshold. The management risk value represents the product of the number of times the operator leaves the equipment operation area exceeding the preset standard number of times and the ratio between the total time the operator is away and the equipment working time after data normalization. At the same time, obtain the number of wrong operations of the operator within the total time of the operator's historical operation of the equipment, and then obtain the operator's error frequency, and mark the product of the error frequency and the management risk value after data normalization as the management capability coefficient GX; S2: Obtain the potential impact value of the water repellent production filling equipment within the time threshold, the potential impact value represents the product of the equipment's failure frequency, maintenance frequency, and average maintenance interval after data normalization, and compare and analyze the potential impact value with the stored preset potential impact value threshold. If the potential impact value is greater than the preset potential impact value threshold, the ratio between the portion of the potential impact value greater than the preset potential impact value threshold and the potential impact value is marked as a potential multiple value QB; S3: According to the formula The indirect impact assessment coefficient is obtained, where f1 and f2 are the preset weight factor coefficients of the management capacity coefficient and the potential multiplier value respectively, both f1 and f2 are positive numbers greater than zero, f3 is the preset compensation factor coefficient, and its value is 1.227, and J is the indirect impact assessment coefficient.

6. The water repellent production fault management and control system based on data analysis according to claim 1 is characterized in that: The in-depth data integration assessment and analysis process of the biosafety assessment unit is as follows: The direct impact coefficient ZY and the indirect impact assessment coefficient J are obtained, and the production risk assessment coefficient SA is obtained according to the formula. The production risk assessment coefficient SA is analyzed with the preset production risk assessment coefficient threshold value stored in the internal entry: If the ratio of the production risk assessment coefficient SA to the preset production risk assessment coefficient threshold is less than or equal to 1, no signal is generated; If the ratio of the production risk assessment coefficient SA to the preset production risk assessment coefficient threshold is greater than 1, a control instruction is generated. When the control instruction is generated, the part of the production risk assessment coefficient SA that exceeds the preset production risk assessment coefficient threshold is immediately obtained, and the ratio between the part of the production risk assessment coefficient SA that exceeds the preset production risk assessment coefficient threshold and the preset production risk assessment coefficient threshold is marked as the production control value, and the production control value is compared and analyzed with the preset production control value interval stored in the internal entry: If the production control value is greater than the maximum value in the preset production control value range, a first-level control signal is generated; If the production control value belongs to the preset production control value range, a secondary control signal is generated; If the production control value is less than the minimum value in the preset production control value range, a third-level control signal is generated.

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