CN117348592A - Safety performance intelligent monitoring system for emergency cut-off device in SIS system - Google Patents
Safety performance intelligent monitoring system for emergency cut-off device in SIS system Download PDFInfo
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Abstract
The invention relates to the technical field of emergency cutting devices, and aims to solve the problems that the existing safety performance monitoring means for the emergency cutting device is single, the working state and the safety performance of the emergency cutting device cannot be reflected in real time, the intellectualization and the refinement are lacking, and the real-time early warning and the predictive maintenance are difficult to achieve. According to the invention, through the modes of dynamic monitoring, multi-data fusion analysis and historical data auxiliary judgment, the accurate monitoring and pre-judgment of the safety performance of the emergency cutting device in the SIS system are realized, the accurate safety state grade assessment, fault early warning and maintenance guidance are realized, the safety reliability and the running efficiency of the system are improved, and powerful support is provided for the operation and maintenance of the emergency cutting device.
Description
Technical Field
The invention relates to the technical field of emergency cutting devices, in particular to a safety performance intelligent monitoring system for an emergency cutting device in an SIS system.
Background
With the rapid development of industrial automation and process control technologies, safety instrumented systems (Safety Instrumentation System, SIS) have been widely used in various industrial processes. The SIS system is a special system arranged for guaranteeing the safety of the production process and reducing the accident result. As a key automation safety facility, SIS systems are critical to ensuring safe operation of industrial processes.
Emergency shutdown devices are an important device in SIS systems to rapidly shut down the process flow in the event of a dangerous situation to prevent an accident from expanding. However, due to the complexity of the operating environment and the operating characteristics of the emergency shutdown device, the safety performance thereof may be affected by various factors, and thus, it is important to effectively monitor the safety performance of the emergency shutdown device.
However, the conventional safety performance monitoring means for the emergency cutting device are often single, and the monitoring method is usually static, and cannot reflect the working state and the safety performance of the emergency cutting device in real time, and lack of intellectualization and refinement, so that hysteresis and limitation often exist in safety performance evaluation of the emergency cutting device, and real-time early warning and predictive maintenance are difficult to achieve.
In order to solve the above-mentioned defect, a technical scheme is provided.
Disclosure of Invention
The invention aims to provide an intelligent safety performance monitoring system for an emergency cut-off device in an SIS system, so as to solve the problems of the background art.
The aim of the invention can be achieved by the following technical scheme: a security performance intelligent monitoring system for emergency shutdown device in SIS system includes: the cloud server is in communication connection with a dynamic monitoring unit, a multi-data fusion and analysis unit, a historical data characteristic auxiliary judgment unit and a display terminal;
the dynamic monitoring unit is used for monitoring various operation parameters and various circuit parameters related to the working state of the emergency cutting device in the current period, so that the safety performance state of the emergency cutting device is dynamically pre-judged in real time, the safety state grade of the emergency cutting device in the current period is output according to the safety performance state, and the safety state grade comprises a superior safety state grade, a middle safety state grade and a secondary safety state grade;
if the safety state level of the emergency cut-off device in the current period is marked as the priority safety state level, repeating the operation of the dynamic monitoring unit on the emergency cut-off device in the next period;
if the safety state level of the emergency cut-off device is marked as a medium-level safety state level in the current period, generating a data fusion performance re-judging signal and sending the data fusion performance re-judging signal to a multi-data fusion analysis unit;
if the safety state level of the emergency cut-off device is marked as a secondary safety state level in the current period, generating a characteristic fault re-judging signal and sending the characteristic fault re-judging signal to a historical data characteristic auxiliary judging unit;
the multi-data fusion analysis unit is used for judging signals according to the received data fusion performance, so that all working characteristic parameters of the emergency cutting device in a historical monitoring period and all working environment parameters in a current period are monitored, the safety performance state of the emergency cutting device is subjected to multi-data fusion analysis, the degree of influence level of the emergency cutting device is output, fault early warning instructions of corresponding levels are triggered according to the output degree of influence, and display and explanation are carried out through a display terminal;
the history data characteristic auxiliary judging unit is used for calling various operation parameters and various circuit parameters of the emergency switching device in a history period according to the received characteristic fault re-judging signals, judging and analyzing the fault type of the emergency switching device, outputting the fault type of the emergency switching device in the current period, displaying and explaining the output fault type of the emergency switching device in the current period through the display terminal, and overhauling and maintaining the fault type.
Preferably, the cloud server is further communicatively connected with a data acquisition unit and a cloud database:
the data acquisition unit is used for acquiring various operation parameters related to the working state of the emergency cut-off device, various circuit parameters and various working environment parameters of the emergency cut-off device in the SIS system, acquiring various working characteristic parameters of the emergency cut-off device in a historical monitoring period and sending various types of information to the cloud database;
the cloud database is also used for storing a security state level comparison table, an influence degree data table and a fault type comparison table.
Preferably, the monitoring of each operation parameter related to the working state of the emergency shutdown device in the current period of time comprises the following specific monitoring process:
the temperature sensor monitors the temperature of an emergency cutting device in the SIS in real time, so that the device temperature parameter in the current period is obtained and is recorded as zt;
the temperature of the environment where the emergency cutting device is located in the SIS system is monitored in real time through a temperature sensor, so that the environmental temperature parameter in the current period is obtained, and the environmental temperature parameter is recorded as ht;
monitoring the pressure value of the SIS system position where the emergency cut-off device is positioned in real time through a pressure sensor, thereby obtaining the system pressure parameter in the current period and recording the system pressure parameter as sy;
monitoring the internal pressure value of the emergency cut-off device in real time through a pressure sensor, thereby obtaining an internal pressure parameter in the current period of time and recording the internal pressure parameter as py;
thereby obtaining various operation parameters related to the working state of the emergency cut-off device, wherein the various operation parameters are respectively device temperature parameters, environment temperature parameters, system pressure parameters and internal pressure parameters;
taking the numerical value of each operation parameter, substituting the numerical value into a preset data model, and according to the formula: the method comprises the steps of obtaining real-time operation feedback coefficients rfc of the emergency cutting device by rfc=ρ1×zt+ρ2×ht+ρ3× sy+ρ4× py, wherein ρ1, ρ2, ρ3 and ρ4 are weight factors of device temperature parameters, environment temperature parameters, system pressure parameters and internal pressure parameters respectively, and ρ1, ρ2, ρ3 and ρ4 are natural numbers larger than 0.
Preferably, the monitoring of the various circuit parameters related to the working state of the emergency shutdown device in the current time period is performed by the following specific monitoring process:
the current value of the emergency cut-off device is monitored in real time through a current sensor, so that the current parameter in the current period is obtained and is recorded as dl;
monitoring the voltage value of the emergency cut-off device in real time through a voltage sensor, thereby obtaining a voltage parameter in the current period, and recording the voltage parameter as dy;
obtaining two circuit parameters of the emergency cut-off device, taking the numerical values of the two circuit parameters, substituting the numerical values into a preset data model, and according to the formula:the circuit feedback coefficient cfc of the emergency cut-off device is obtained, wherein dl is represented as a current standard reference value corresponding to a current parameter in a current period, dy is represented as a voltage standard reference value corresponding to a voltage parameter in the current period, Δa is represented as a reference value of a difference between the current parameter in the current period and the current standard reference value, Δb is represented as a reference value of a difference between the voltage parameter in the current period and the voltage standard reference value, λ1 and λ2 are conversion factor coefficients respectively, and λ1 and λ2 are natural numbers greater than 0.
Preferably, the real-time dynamic pre-judging is performed on the safety performance state of the emergency cutting device, and the specific analysis process is as follows:
comprehensively analyzing the real-time operation feedback coefficient and the circuit feedback coefficient of the emergency cutting device according to a set data model:outputting a real-time work safety index wsv of the emergency cut-off device in the SIS system, wherein gamma 1 and gamma 2 are natural numbers greater than 0;
and carrying out matching analysis on the real-time working safety index of the emergency cutting device and a safety state grade comparison table stored in the cloud database, so as to obtain the safety state grade of the emergency cutting device in the current period, wherein each obtained real-time working safety index corresponds to one safety state grade, and the safety state grade comprises a top-grade safety state grade, a middle-grade safety state grade and a secondary safety state grade.
Preferably, the monitoring of each operation characteristic parameter of the emergency cut-off device in the history monitoring period and each operation environment parameter in the current period is performed by the following specific monitoring process:
setting a history monitoring period, equally dividing the history monitoring period into a plurality of sub-time periods, numbering the sub-time periods according to time sequence, marking the sub-time periods as i, and marking the total number of the sub-time periods as n;
acquiring various working characteristic parameters of the emergency cutting device under various sub-time periods, wherein the various working characteristic parameters are respectively the running rotating speed, the output torque and the operation times, and respectively marking the operating rotating speed, the output torque and the operation times as rs i 、ot i And cs i ；
Substituting each working characteristic parameter of the emergency cutting device into a preset data model, and according to the data model:thereby obtaining a historical operating characteristic average tzx of the emergency shutdown device, wherein μ1 is a conversion factor coefficient, δ1 and δ2 are correction factor coefficients, and μ1, δ1 and δ2 are natural numbers greater than 0;
monitoring all working environment parameters of the emergency cutting device in real time, wherein the all working environment parameters are respectively mechanical vibration intensity, illumination intensity, air pressure value and humidity value, and are respectively marked as zq, gz, qy and sd;
substituting each working environment parameter of the emergency cutting device into a preset data model, and according to the data model:the real-time working environment characteristic value ecv of the emergency cutting device is obtained, wherein μ2 is a conversion factor coefficient, qy is represented as an air pressure reference value, namely, a reference value corresponding to the air pressure value in the environment where the emergency cutting device is located, and μ2 is a natural number greater than 0.
Preferably, the multi-data fusion analysis is performed on the safety performance state of the emergency cutting device, and the specific analysis process is as follows:
carrying out normalization analysis on the historical working characteristic average value and the real-time working environment characteristic value of the emergency cutting device, and according to a set data model: sqv =ω1× tzx +ω2× ecv, whereby a safety performance impact value sqv of the emergency shutdown device is obtained, wherein ω1 and ω2 are respectively normalization factors;
comparing and matching the security performance influence value with an influence degree data table stored in a cloud database, so as to obtain influence degree grades received by the emergency cutting device, wherein each obtained security performance influence value corresponds to one influence degree grade, and the influence degree grades comprise a first-level influence grade, a second-level influence grade and a third-level influence grade;
if the influence degree grade of the emergency cutting device is a primary influence grade, triggering a primary fault early warning instruction;
if the influence degree grade of the emergency cutting device is a secondary influence grade, triggering a secondary fault early warning instruction;
if the influence degree level of the emergency cut-off device is three-level influence level, no early warning operation is performed, and the safety performance pre-judging operation is repeated for the emergency cut-off device in the next time period.
Preferably, the determining and analyzing the fault type of the emergency cutting device comprises the following specific analysis processes:
each operation parameter and each circuit parameter of the emergency switching device in the history period are called, and each operation parameter and each circuit parameter monitored in the history period are respectively subjected to average calculation, so that each history characteristic operation parameter and each history characteristic circuit parameter of the emergency switching device are obtained;
the system comprises a plurality of operating parameters, a plurality of operating parameters and a plurality of operating parameters, wherein each operating parameter comprises a temperature parameter of a historical characteristic device, a temperature parameter of a historical characteristic environment, a pressure parameter of a historical characteristic system and an internal pressure parameter of a historical characteristic, and each operating parameter comprises a current parameter of a historical characteristic and a voltage parameter of a historical characteristic;
comparing and analyzing each historical characteristic operation parameter of the emergency switching device with a characteristic operation comparison range corresponding to each historical characteristic operation parameter, acquiring each corresponding historical characteristic operation parameter exceeding a preset characteristic operation comparison range in the emergency switching device, and classifying the corresponding historical characteristic operation parameter into an operation parameter abnormal data set of the emergency switching device;
comparing and analyzing each historical characteristic circuit parameter of the emergency switching device with a characteristic circuit comparison range corresponding to each historical characteristic circuit parameter, acquiring each corresponding historical circuit operation parameter exceeding a preset characteristic circuit comparison range in the emergency switching device, and classifying the corresponding historical circuit operation parameter into a circuit parameter abnormal data set of the emergency switching device;
summarizing the obtained abnormal operation parameter data set and abnormal circuit parameter data set of the emergency switching device, thereby obtaining a characteristic fault data set of the emergency switching device;
performing matching analysis on the characteristic fault data set of the emergency switching device and a fault type comparison table stored in a cloud database, so as to output the fault type of the emergency switching device in the current period, wherein each obtained operation parameter abnormal data set and circuit parameter abnormal data set can reflect one fault type;
and displaying and explaining the fault type of the output emergency cut-off device in the current period through a display terminal.
The invention has the beneficial effects that:
according to the invention, each operation parameter and circuit parameter of the emergency cutting device are monitored in real time, and the degree of influence of the emergency cutting device is accurately estimated in a mode of multi-data fusion analysis; through real-time monitoring and analysis, the safety state of the device can be predicted and evaluated better, and the accuracy and timeliness of the safety performance monitoring of the system are improved.
The safety state of the emergency cutting device is evaluated, the safety state is classified into three grades of priority, middle grade and secondary grade, the safety states of different grades correspond to different emergency switching operation and processing modes, the safety performance control strategy under different conditions can be effectively implemented, and the pertinence of monitoring and controlling the safety performance of the emergency cutting device is improved by adopting a multistage classification mode.
By combining various working characteristic parameters under the historical monitoring period and working environment parameters under the current period, the safety performance state of the emergency cut-off device is analyzed more comprehensively and accurately, and the fault type and affected degree of the device can be better judged by reasonably utilizing the fusion analysis of the historical data and the real-time data, so that misjudgment and missed judgment are effectively avoided, and the robustness and reliability of the system are improved.
The fault type of the emergency cut-off device in the current period is determined by analyzing the characteristic fault judging signals, and corresponding fault information is displayed and described through the display terminal, so that accurate fault diagnosis and processing guidance is provided for maintenance staff. Therefore, the device fault can be rapidly positioned and solved, the downtime and the maintenance cost are reduced, and the maintainability and the reliability of the system are improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention discloses a safety performance intelligent monitoring system for an emergency cutting device in an SIS system, which comprises a cloud server, wherein the cloud server is in communication connection with a data acquisition unit, a cloud database, a dynamic monitoring unit, a multi-data fusion and analysis unit, a historical data characteristic auxiliary judgment unit and a display terminal.
The data acquisition unit is used for acquiring various operation parameters related to the working state of the emergency cutting device, various circuit parameters and various working environment parameters of the emergency cutting device in the SIS system, acquiring various working characteristic parameters of the emergency cutting device in a historical monitoring period and sending various types of information to the cloud database.
The cloud database is also used for storing a security state level comparison table, an influence degree data table and a fault type comparison table.
The dynamic monitoring unit is used for monitoring various operation parameters and various circuit parameters related to the working state of the emergency cutting device in the current period, and the specific monitoring process is as follows:
the temperature sensor monitors the temperature of an emergency cutting device in the SIS in real time, so that the device temperature parameter in the current period is obtained and is recorded as zt;
the temperature of the environment where the emergency cutting device is located in the SIS system is monitored in real time through a temperature sensor, so that the environmental temperature parameter in the current period is obtained, and the environmental temperature parameter is recorded as ht;
monitoring the pressure value of the SIS system position where the emergency cut-off device is positioned in real time through a pressure sensor, thereby obtaining the system pressure parameter in the current period and recording the system pressure parameter as sy;
monitoring the internal pressure value of the emergency cut-off device in real time through a pressure sensor, thereby obtaining an internal pressure parameter in the current period of time and recording the internal pressure parameter as py;
thereby obtaining various operation parameters related to the working state of the emergency cut-off device, wherein the various operation parameters are respectively device temperature parameters, environment temperature parameters, system pressure parameters and internal pressure parameters;
taking the numerical value of each operation parameter, substituting the numerical value into a preset data model, and according to the formula: the method comprises the steps of obtaining a real-time operation feedback coefficient rfc of an emergency cutting device by rfc=ρ1×zt+ρ2×ht+ρ3× sy+ρ4× py, wherein ρ1, ρ2, ρ3 and ρ4 are weight factors of a device temperature parameter, an environment temperature parameter, a system pressure parameter and an internal pressure parameter respectively, ρ1, ρ2, ρ3 and ρ4 are natural numbers larger than 0, and the weight factors are used for balancing the duty ratio weights of various data in formula calculation, so that accuracy of calculation results is promoted;
the current value of the emergency cut-off device is monitored in real time through a current sensor, so that the current parameter in the current period is obtained and is recorded as dl;
monitoring the voltage value of the emergency cut-off device in real time through a voltage sensor, thereby obtaining a voltage parameter in the current period, and recording the voltage parameter as dy;
obtaining two circuit parameters of the emergency cut-off device, taking the numerical values of the two circuit parameters, substituting the numerical values into a preset data model, and according to the formula:obtaining a circuit feedback coefficient cfc of the emergency cut-off device, wherein dl is represented as a current standard reference value corresponding to a current parameter in a current period, dy is represented as a voltage standard reference value corresponding to a voltage parameter in the current period, Δa is represented as a reference value of a difference between the current parameter in the current period and the current standard reference value, Δb is represented as a reference value of a difference between the voltage parameter in the current period and the voltage standard reference value, λ1 and λ2 are respectively conversion factor coefficients, λ1 and λ2 are natural numbers larger than 0, and the conversion factor coefficients are used for converting physical quantities of all data items into data coefficients of the same physical quantity;
therefore, the safety performance state of the emergency cutting device is dynamically pre-judged in real time, and the specific analysis process is as follows:
comprehensively analyzing the real-time operation feedback coefficient and the circuit feedback coefficient of the emergency cutting device according to a set data model:outputting a real-time work safety index wsv of the emergency cut-off device in the SIS system, wherein gamma 1 and gamma 2 are natural numbers greater than 0;
performing matching analysis on the real-time working safety index of the emergency cutting device and a safety state grade comparison table stored in a cloud database, so as to obtain the safety state grade of the emergency cutting device in the current period, wherein each obtained real-time working safety index corresponds to one safety state grade, and the safety state grade comprises a top-grade safety state grade, a middle-grade safety state grade and a secondary safety state grade;
if the safety state level of the emergency cut-off device in the current period is marked as the priority safety state level, repeating the operation of the dynamic monitoring unit on the emergency cut-off device in the next period;
if the safety state level of the emergency cut-off device is marked as a medium-level safety state level in the current period, generating a data fusion performance re-judging signal and sending the data fusion performance re-judging signal to a multi-data fusion analysis unit;
if the safety state level of the emergency cut-off device is marked as the secondary safety state level in the current period, a characteristic fault re-judging signal is generated and sent to a historical data characteristic auxiliary judging unit.
The multi-data fusion analysis unit is used for judging the signal again according to the received data fusion performance, so that all working characteristic parameters of the emergency cutting device in a historical monitoring period and all working environment parameters in a current period are monitored, and the specific monitoring process is as follows:
setting a history monitoring period, equally dividing the history monitoring period into a plurality of sub-time periods, numbering the sub-time periods according to time sequence, marking the sub-time periods as i, and marking the total number of the sub-time periods as n;
acquiring various working characteristic parameters of the emergency cutting device under various sub-time periods, wherein the various working characteristic parameters are respectively the running rotating speed, the output torque and the operation times, and respectively marking the operating rotating speed, the output torque and the operation times as rs i 、ot i And cs i ；
Substituting each working characteristic parameter of the emergency cutting device into a preset data model, and according to the data model:the historical working characteristic average tzx of the emergency cutting device is obtained, wherein mu 1 is a conversion factor coefficient, delta 1 and delta 2 are correction factor coefficients, mu 1, delta 1 and delta 2 are natural numbers larger than 0, and the correction factor coefficients are used for correcting deviation of various parameters in the formula calculation process, so that more accurate parameter data are calculated;
monitoring all working environment parameters of the emergency cutting device in real time, wherein the all working environment parameters are respectively mechanical vibration intensity, illumination intensity, air pressure value and humidity value, and are respectively marked as zq, gz, qy and sd;
substituting each working environment parameter of the emergency cutting device into a preset data model, and according to the data model:obtaining a real-time working environment characteristic value ecv of the emergency cutting device, wherein mu 2 is a conversion factor coefficient, qy is expressed as an air pressure reference value, namely a reference value corresponding to the air pressure value in the environment where the emergency cutting device is positioned, and mu 2 is a natural number larger than 0;
according to the method, the safety performance state of the emergency cutting device is subjected to multi-data fusion analysis, and the specific analysis process is as follows:
carrying out normalization analysis on the historical working characteristic average value and the real-time working environment characteristic value of the emergency cutting device, and according to a set data model: sqv =ω1× tzx +ω2× ecv, thereby obtaining a safety performance impact value sqv of the emergency shutdown device, wherein ω1 and ω2 are normalization factors for representing coefficients for converting each item of data in the data model into a dimensionless form, respectively;
comparing and matching the security performance influence value with an influence degree data table stored in a cloud database, so as to obtain influence degree grades received by the emergency cutting device, wherein each obtained security performance influence value corresponds to one influence degree grade, and the influence degree grades comprise a first-level influence grade, a second-level influence grade and a third-level influence grade;
if the influence degree level of the emergency cut-off device is a first-level influence level, triggering a first-level fault early warning indication, wherein the first-level fault early warning indication specifically comprises: immediately stopping the machine, sending out a continuous sound alarm through a display terminal, sending an early warning notice to related personnel in a remote notice mode, notifying the related personnel to perform fault maintenance treatment, and stopping primary fault early warning indication after the fault is relieved;
if the degree of influence level of the emergency cut-off device is a secondary influence level, triggering a secondary fault early warning indication, wherein the secondary fault early warning indication specifically comprises: sending out a continuous sound alarm through the display terminal, sending an early warning notice to related personnel in a remote control mode, and performing overhaul and maintenance treatment;
if the influence degree level of the emergency cut-off device is three-level influence level, no early warning operation is performed, and the safety performance pre-judging operation is repeated for the emergency cut-off device in the next time period.
The history data characteristic auxiliary judging unit is used for calling various operation parameters and various circuit parameters of the emergency switching device in a history period according to the received characteristic fault re-judging signal, so that the fault type of the emergency switching device is judged and analyzed, and the specific analysis process is as follows:
each operation parameter and each circuit parameter of the emergency switching device in the history period are called, and each operation parameter and each circuit parameter monitored in the history period are respectively subjected to average calculation, so that each history characteristic operation parameter and each history characteristic circuit parameter of the emergency switching device are obtained;
the system comprises a plurality of operating parameters, a plurality of operating parameters and a plurality of operating parameters, wherein each operating parameter comprises a temperature parameter of a historical characteristic device, a temperature parameter of a historical characteristic environment, a pressure parameter of a historical characteristic system and an internal pressure parameter of a historical characteristic, and each operating parameter comprises a current parameter of a historical characteristic and a voltage parameter of a historical characteristic;
comparing and analyzing each historical characteristic operation parameter of the emergency switching device with a characteristic operation comparison range corresponding to each historical characteristic operation parameter, acquiring each corresponding historical characteristic operation parameter exceeding a preset characteristic operation comparison range in the emergency switching device, and classifying the corresponding historical characteristic operation parameter into an operation parameter abnormal data set of the emergency switching device;
comparing and analyzing each historical characteristic circuit parameter of the emergency switching device with a characteristic circuit comparison range corresponding to each historical characteristic circuit parameter, acquiring each corresponding historical circuit operation parameter exceeding a preset characteristic circuit comparison range in the emergency switching device, and classifying the corresponding historical circuit operation parameter into a circuit parameter abnormal data set of the emergency switching device;
summarizing the obtained abnormal operation parameter data set and abnormal circuit parameter data set of the emergency switching device, thereby obtaining a characteristic fault data set of the emergency switching device;
performing matching analysis on the characteristic fault data set of the emergency switching device and a fault type comparison table stored in a cloud database, so as to output the fault type of the emergency switching device in the current period, wherein each obtained operation parameter abnormal data set and circuit parameter abnormal data set can reflect one fault type;
and displaying and explaining the fault type of the output emergency cut-off device in the current period through a display terminal, and performing overhaul and maintenance processing.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (8)
1. A security performance intelligent monitoring system for emergency shutdown device in SIS system, its characterized in that includes: the cloud server is in communication connection with a dynamic monitoring unit, a multi-data fusion and analysis unit, a historical data characteristic auxiliary judgment unit and a display terminal;
the dynamic monitoring unit is used for monitoring various operation parameters and various circuit parameters related to the working state of the emergency cutting device in the current period, so that the safety performance state of the emergency cutting device is dynamically pre-judged in real time, the safety state grade of the emergency cutting device in the current period is output according to the safety performance state, and the safety state grade comprises a superior safety state grade, a middle safety state grade and a secondary safety state grade;
if the safety state level of the emergency cut-off device in the current period is marked as the priority safety state level, repeating the operation of the dynamic monitoring unit on the emergency cut-off device in the next period;
if the safety state level of the emergency cut-off device is marked as a medium-level safety state level in the current period, generating a data fusion performance re-judging signal and sending the data fusion performance re-judging signal to a multi-data fusion analysis unit;
if the safety state level of the emergency cut-off device is marked as a secondary safety state level in the current period, generating a characteristic fault re-judging signal and sending the characteristic fault re-judging signal to a historical data characteristic auxiliary judging unit;
the multi-data fusion analysis unit is used for judging signals according to the received data fusion performance, so that all working characteristic parameters of the emergency cutting device in a historical monitoring period and all working environment parameters in a current period are monitored, the safety performance state of the emergency cutting device is subjected to multi-data fusion analysis, the degree of influence level of the emergency cutting device is output, fault early warning instructions of corresponding levels are triggered according to the output degree of influence, and display and explanation are carried out through a display terminal;
the history data characteristic auxiliary judging unit is used for calling various operation parameters and various circuit parameters of the emergency switching device in a history period according to the received characteristic fault re-judging signals, judging and analyzing the fault type of the emergency switching device, outputting the fault type of the emergency switching device in the current period, displaying and explaining the output fault type of the emergency switching device in the current period through the display terminal, and overhauling and maintaining the fault type.
2. The intelligent safety monitoring system for emergency shutdown devices in SIS systems according to claim 1, wherein the cloud server is further communicatively connected with a data acquisition unit, a cloud database:
the data acquisition unit is used for acquiring various operation parameters related to the working state of the emergency cut-off device, various circuit parameters and various working environment parameters of the emergency cut-off device in the SIS system, acquiring various working characteristic parameters of the emergency cut-off device in a historical monitoring period and sending various types of information to the cloud database;
the cloud database is also used for storing a security state level comparison table, an influence degree data table and a fault type comparison table.
3. The intelligent safety monitoring system for emergency shutdown devices in SIS systems according to claim 1, wherein the monitoring of each operation parameter related to the operation state of the emergency shutdown device during the current period of time comprises the following specific monitoring process:
the temperature sensor monitors the temperature of an emergency cutting device in the SIS in real time, so that the device temperature parameter in the current period is obtained and is recorded as zt;
the temperature of the environment where the emergency cutting device is located in the SIS system is monitored in real time through a temperature sensor, so that the environmental temperature parameter in the current period is obtained, and the environmental temperature parameter is recorded as ht;
monitoring the pressure value of the SIS system position where the emergency cut-off device is positioned in real time through a pressure sensor, thereby obtaining the system pressure parameter in the current period and recording the system pressure parameter as sy;
monitoring the internal pressure value of the emergency cut-off device in real time through a pressure sensor, thereby obtaining an internal pressure parameter in the current period of time and recording the internal pressure parameter as py;
thereby obtaining various operation parameters related to the working state of the emergency cut-off device, wherein the various operation parameters are respectively device temperature parameters, environment temperature parameters, system pressure parameters and internal pressure parameters;
taking the numerical value of each operation parameter, substituting the numerical value into a preset data model, and according to the formula: rfc=ρ1×zt+ρ2×ht+ρ3×sy+ρ4× py, thereby obtaining real-time operation feedback coefficients rfc of the emergency shutdown device, wherein ρ1, ρ2, ρ3 and ρ4 are weighting factors of the device temperature parameter, the ambient temperature parameter, the system pressure parameter, and the internal pressure parameter, respectively.
4. A safety intelligent monitoring system for emergency shutdown device in SIS system according to claim 3, wherein the monitoring of each circuit parameter related to the working state of emergency shutdown device in the current period is as follows:
the current value of the emergency cut-off device is monitored in real time through a current sensor, so that the current parameter in the current period is obtained and is recorded as dl;
monitoring the voltage value of the emergency cut-off device in real time through a voltage sensor, thereby obtaining a voltage parameter in the current period, and recording the voltage parameter as dy;
obtaining two circuit parameters of the emergency cut-off device, taking the numerical values of the two circuit parameters, substituting the numerical values into a preset data model, and according to the formula:the circuit feedback coefficient cfc of the emergency shutdown device is obtained, where dl is represented as a current standard reference value corresponding to the current parameter in the current period, dy is represented as a voltage standard reference value corresponding to the voltage parameter in the current period, Δa is represented as a reference value of a difference between the current parameter in the current period and the current standard reference value, Δb is represented as a reference value of a difference between the voltage parameter in the current period and the voltage standard reference value, and λ1 and λ2 are conversion factor coefficients, respectively.
5. The intelligent safety performance monitoring system for an emergency shutdown device in an SIS system according to claim 4, wherein the real-time dynamic pre-determination of the safety performance state of the emergency shutdown device is performed by the following specific analysis process:
comprehensively analyzing the real-time operation feedback coefficient and the circuit feedback coefficient of the emergency cutting device according to a set data model:thereby outputting a real-time work safety index wsv of the emergency shutdown device in the SIS system;
and carrying out matching analysis on the real-time working safety index of the emergency cutting device and a safety state grade comparison table stored in the cloud database, so as to obtain the safety state grade of the emergency cutting device in the current period, wherein each obtained real-time working safety index corresponds to one safety state grade, and the safety state grade comprises a top-grade safety state grade, a middle-grade safety state grade and a secondary safety state grade.
6. The intelligent safety monitoring system for emergency shutdown device in SIS system according to claim 1, wherein the monitoring of each operation characteristic parameter of emergency shutdown device in history monitoring period and each operation environment parameter in current period comprises the following specific monitoring process:
setting a history monitoring period, equally dividing the history monitoring period into a plurality of sub-time periods, numbering the sub-time periods according to time sequence, marking the sub-time periods as i, and marking the total number of the sub-time periods as n;
acquiring various working characteristic parameters of the emergency cutting device under various sub-time periods, wherein the various working characteristic parameters are respectively the running rotating speed, the output torque and the operation times, and respectively marking the operating rotating speed, the output torque and the operation times as rs i 、ot i And cs i ；
Substituting each working characteristic parameter of the emergency cutting device into a preset data model, and according to the data model:thereby obtaining a historical operating characteristic average tzx of the emergency shutdown device, wherein mu 1 is a conversion factor coefficient, and delta 1 and delta 2 are correction factor coefficients;
monitoring all working environment parameters of the emergency cutting device in real time, wherein the all working environment parameters are respectively mechanical vibration intensity, illumination intensity, air pressure value and humidity value, and are respectively marked as zq, gz, qy and sd;
substituting each working environment parameter of the emergency cutting device into a preset data model, and according to the data model:the real-time working environment characteristic value ecv of the emergency cutting device is obtained, wherein mu 2 is a conversion factor coefficient, qy is represented as an air pressure reference value, namely the emergency cutting deviceAnd a reference value corresponding to the air pressure value in the environment.
7. The intelligent safety performance monitoring system for emergency shutdown devices in an SIS system according to claim 6, wherein the multi-data fusion analysis is performed on the safety performance state of the emergency shutdown device, and the specific analysis process is as follows:
carrying out normalization analysis on the historical working characteristic average value and the real-time working environment characteristic value of the emergency cutting device, and according to a set data model: sqv =ω1× tzx +ω2× ecv, whereby a safety performance impact value sqv of the emergency shutdown device is obtained, wherein ω1 and ω2 are respectively normalization factors;
comparing and matching the security performance influence value with an influence degree data table stored in a cloud database, so as to obtain influence degree grades received by the emergency cutting device, wherein each obtained security performance influence value corresponds to one influence degree grade, and the influence degree grades comprise a first-level influence grade, a second-level influence grade and a third-level influence grade;
if the influence degree grade of the emergency cutting device is a primary influence grade, triggering a primary fault early warning instruction;
if the influence degree grade of the emergency cutting device is a secondary influence grade, triggering a secondary fault early warning instruction;
if the influence degree level of the emergency cut-off device is three-level influence level, no early warning operation is performed, and the safety performance pre-judging operation is repeated for the emergency cut-off device in the next time period.
8. The intelligent safety monitoring system for emergency shutdown devices in an SIS system according to claim 1, wherein the type of fault of the emergency shutdown device is determined and analyzed as follows:
each operation parameter and each circuit parameter of the emergency switching device in the history period are called, and each operation parameter and each circuit parameter monitored in the history period are respectively subjected to average calculation, so that each history characteristic operation parameter and each history characteristic circuit parameter of the emergency switching device are obtained;
the system comprises a plurality of operating parameters, a plurality of operating parameters and a plurality of operating parameters, wherein each operating parameter comprises a temperature parameter of a historical characteristic device, a temperature parameter of a historical characteristic environment, a pressure parameter of a historical characteristic system and an internal pressure parameter of a historical characteristic, and each operating parameter comprises a current parameter of a historical characteristic and a voltage parameter of a historical characteristic;
comparing and analyzing each historical characteristic operation parameter of the emergency switching device with a characteristic operation comparison range corresponding to each historical characteristic operation parameter, acquiring each corresponding historical characteristic operation parameter exceeding a preset characteristic operation comparison range in the emergency switching device, and classifying the corresponding historical characteristic operation parameter into an operation parameter abnormal data set of the emergency switching device;
comparing and analyzing each historical characteristic circuit parameter of the emergency switching device with a characteristic circuit comparison range corresponding to each historical characteristic circuit parameter, acquiring each corresponding historical circuit operation parameter exceeding a preset characteristic circuit comparison range in the emergency switching device, and classifying the corresponding historical circuit operation parameter into a circuit parameter abnormal data set of the emergency switching device;
summarizing the obtained abnormal operation parameter data set and abnormal circuit parameter data set of the emergency switching device, thereby obtaining a characteristic fault data set of the emergency switching device;
performing matching analysis on the characteristic fault data set of the emergency switching device and a fault type comparison table stored in a cloud database, so as to output the fault type of the emergency switching device in the current period, wherein each obtained operation parameter abnormal data set and circuit parameter abnormal data set can reflect one fault type;
and displaying and explaining the fault type of the output emergency cut-off device in the current period through a display terminal.
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