21 results about "Safety instrumented system" patented technology

The invention relates to a method for establishing an SIL dynamic evaluation model based on Weibull distribution, and belongs to the technical field of safety protection systems. The method comprises the following steps: (1) establishing a dynamic cumulative failure probability function model based on Weibull distribution according to obtained failure data through a reliability test; (2) calculating Weibull distribution parameters by using a median rank method, a linear regression fitting method and a least square method; (3) drawing a function model image by using MATLAB software; and (4) in combination with a fault tree method, establishing an SIL dynamic evaluation model based on Weibull distribution. According to the SIL dynamic evaluation model for the final executive component of the safety instrument system based on Weibull distribution, the dynamic change trend of the final executive component PFDavg along with time obtained by the model basically accords with the reality, the accuracy of SIL evaluation is improved, and scientific method support is provided for design personnel of the safety instrument system.

The utility model discloses an absorption and desorption device with a safety instrument system, and particularly relates to the technical field of chemical engineering principle experiment teaching, which comprises a support frame, a water tank fixedly arranged at the top of the support frame, a water inlet pipe arranged at the top of the water tank in a penetrating manner, and an absorption pump fixedly arranged on one side of the water tank, an absorption mechanism is fixedly arranged on one side of the absorption pump and comprises a first conveying pipe fixedly arranged at the output end of the absorption pump, an absorption tower is arranged at one end of the first conveying pipe in a penetrating mode, a connecting pipe is arranged at the bottom end of the absorption tower in a penetrating mode, and a buffer tank is arranged at one end of the connecting pipe in a penetrating mode; and two liquid level sensors are arranged in the buffer tank in a penetrating manner. The absorption and desorption device effectively avoids the influence of flow velocity mismatching of absorption liquid and desorption liquid on the experiment process, further maintains stable experiment conditions and protects normal operation of equipment, and meanwhile, the whole absorption and desorption device is provided with a safety instrument system, so that the safety of the device is improved.

The invention relates to the technical field of industrial safety, in particular to a safety instrument system SIL evaluation method considering human factor failure. The method comprises the steps that firstly, human factor influence factors of personnel, equipment, environment and management are objectively quantified through a triangular fuzzy entropy weight method; then human factor failure probability models of three stages of observation, judgment and execution are constructed; and finally, the quantized human factor failure probability is used as a series link to be coupled into a system PFD calculation model, so that an SIL level evaluation result closer to an actual operation condition is obtained. According to the method, quantitative evaluation of human factor failure is realized, a quantitative basis containing human factor improvement measures can be provided for system redundancy configuration and test cycle optimization, and the accuracy and engineering guidance value of SIL evaluation are remarkably improved.

This invention belongs to the technical field of Safety Integrity Level (SIL) verification for Safety Instrumented Systems (SIS), specifically disclosing a dynamic verification method and system for SIL considering uncertainty. Addressing the uncertainty issues in SIL verification, this invention introduces stochastic uncertainty theory and fuzzy uncertainty theory, combining stochastic uncertainty theory with LSTM networks and fuzzy uncertainty theory with fuzzy logic to propose a novel dynamic SIL verification method. It also performs source tracing analysis on the SIL verification results and uses a random forest method for feature importance analysis. The SIL level is dynamically updated as data is updated. This invention solves the problems of uncertainty and static lag in traditional SIL verification, eliminates the fuzzy uncertainty of expert judgment and the static nature of field data, and enables the final verification results to be dynamic and up-to-date.

The invention provides a safety function block active defense method and system for a safety instrument system. The method comprises the following steps: before executing a core algorithm, performing pointer security check and numerical field check on input data of a security function block; if the check is passed, entering a pre-operation stage, and monitoring an operation risk in real time through a preset check point by utilizing a reverse analysis pre-operation algorithm or a soft floating point pre-operation algorithm on the premise of not executing an actual instruction which possibly causes hardware exception; and executing a deterministic output strategy according to a pre-operation result, and outputting a unified hierarchical state code (ERR) through a special state pin. The method has the advantages of endogenous safety, fault behavior determination, high diagnosis precision, high configuration efficiency and the like, controller shutdown caused by data exception can be effectively avoided, and the robustness of an industrial control system is improved.

The invention discloses an LNG storage tank safety detection and control system, and relates to the technical field of liquefied natural gas storage safety, the system comprises a DCS control system, a safety instrument system, a medium input system, a BOG processing system, a safety discharge system, a detection system and an interlocking execution system; the medium input system comprises an LNG upper liquid inlet input pipeline, an LNG lower liquid inlet input pipeline and a natural gas supplementing and conveying pipeline; the detection system comprises an LTD density meter, a multi-point average thermometer, a plurality of servo liquid level meters and a pressure transmitter; the interlocking execution system comprises a first pneumatic emergency cut-off valve, a second pneumatic emergency cut-off valve, a third pneumatic emergency cut-off valve, a BOG recycling adjusting valve, a torch removing adjusting valve, a first flow adjusting valve, a second flow adjusting valve, a third flow adjusting valve, a fourth flow adjusting valve and an immersed pump pumping mechanism. An anti-tumbling algorithm is embedded in the DCS control system. According to the system and the method, real-time early warning-active suppression-emergency blocking full-process closed-loop control on the core risk of the LNG storage tank can be realized.

The invention discloses a method and system for predicting the residual life of a redundant safety instrument system, and the method comprises the steps: carrying out the life test of a to-be-predicted safety instrument system, and obtaining the residual life of the to-be-predicted safety instrument system according to the life data obtained through the test; constructing a mixed Weibull distribution model used for representing fault occurrence probability distribution characteristics of each device forming the safety instrument system to be predicted; performing maximum likelihood estimation on the mixed Weibull distribution model to obtain a maximum likelihood estimation value of a mixed Weibull distribution parameter; and constructing a fault distribution function of the to-be-predicted safety instrument system based on the fault equipment distribution characteristics corresponding to the failure of the to-be-predicted safety instrument system so as to obtain a failure probability density function, and based on the failure probability density function, obtaining the residual life of the current safety instrument system in combination with the maximum likelihood estimation value. The problem that the service life prediction of the redundant safety instrument system is limited to a single fault type and the application range is small is solved, and accurate prediction of the residual service life of the safety instrument system with multiple fault types at the same time is achieved.

This invention relates to a fault handling system applied in a safety instrumented system, comprising: a watchdog timer for receiving a feed signal and outputting a reset signal; a CPLD logic unit for storing a reset type identifier; DDR memory for representing characteristic data for detecting whether memory is lost during power-up; and an MCU processor connected to the watchdog timer, the CPLD logic unit, the DDR memory, and the MRAM memory, wherein the MCU memory is used to enter a hot reset mode when it is determined that the reset type identifier stored in the CPLD logic unit is a hot reset identifier. The hot reset mode is a mode implemented based on the watchdog timer reset signal, the reset type identifier stored in the CPLD logic unit, and the characteristic data stored in the DDR memory. Therefore, compared to existing schemes that repeatedly load programs, the hot reset-based diagnostic method of this application does not require repeated program loading, can quickly complete the diagnostic, meets the stringent requirements of safety instrumented systems for fault response time, and improves system safety.

The application provides an abnormal event management method and device, which is applied to any network communication module in a safety instrument system, and the method comprises the following steps: periodically inquiring the online state of each embedded module node, and updating a locally maintained hardware node table according to the inquiry result; when any embedded module is detected to be offline according to the hardware node table, a missing event representing that the embedded module has an MCU fault and is in an offline state is generated, and the missing event is stored as an abnormal event; a query is initiated to each embedded module to determine whether there is a to-be-reported event; when there is a to-be-reported event, the to-be-reported event is collected and stored as an abnormal event; and in response to a reading instruction sent by upper computer software, the stored abnormal event is read and sent to the upper computer software, so that complete and traceable management of abnormal events of the safety instrument system is realized.

The application relates to an alarm data management method and system based on an SIS system, a terminal and a storage medium, and belongs to the technical field of data processing. The method comprises the following steps: obtaining target alarm data, wherein the target alarm data is alarm data to be processed; judging whether the target alarm data corresponds to temporary entry data in a temporary database; if yes, corresponding temporary entry data is called and output; if no, corresponding initial entry data of the target alarm data is matched in an initial database; result data is obtained according to the initial entry data and is output; feedback entry data is received, and final entry data is obtained according to the feedback entry data and the target alarm data and is output. The application has the effect of promoting the combination of software resources and a safety instrument system.

The invention belongs to the field of coal chemical gasification, particularly relates to an interlocking sequence control method for high-pressure ignition of a Shenning furnace, and solves the problem of safe ignition of the Shenning furnace under high pressure by systematically optimizing control logic and interlocking parameters in a distributed control system (DCS) and a safety instrument system (SIS). The method comprises the steps that a key pressure judgment value in an ignition permission and sequence control program is increased to 0.9-1.1 MPa from traditional 0.3-0.5 MPa; the state of a main oxygen pipeline stop valve (113XV-118) in the purging step is modified to be opened, and it is ensured that high-pressure nitrogen purging is effective; an ignition oxygen flow regulating valve (113FC-111) is arranged to be in an automatic regulation and control mode, so that the control precision is improved; and high-pressure adaptation is carried out on the bumping sequence control program, and a pressure relief target value and a pressure judgment value are modified. Safe, stable and one-button ignition of the Shenning furnace under high pressure is achieved, the start-up time is shortened from 2.5 hours to 1.5 hours or less, the ignition success rate exceeds 98%, the liquid level fluctuation of a large water system is controlled within + / -2%, and the operation efficiency and economical efficiency of the device are remarkably improved.

The invention provides a real-time data communication method and system of a safety instrument system with a fault self-healing capability. The method is applied to a sending control station and comprises the following steps: generating a safety data frame according to user data to be sent; sending a path detection frame to a target control station through a parallel path detection mechanism, and obtaining current state information of a plurality of available paths; based on the current state information and the key level identifier, selecting an optimal transmission path for the security data frame through a dynamic path decision algorithm; sending the security data frame to a target control station through the optimal transmission path; and the communication quality of the optimal transmission path is monitored in real time, if the communication quality is lower than a preset threshold value, a seamless switching mechanism is triggered, a path is reselected from the standby path set and switched immediately, and subsequent security data frames continue to be transmitted. According to the method, the network state can be sensed in real time, the optimal path is actively selected, millisecond-level seamless switching is realized when a fault occurs, and the usability and the toughness of a communication system are greatly improved.

The invention discloses a triple redundancy safety instrument system and a voting and degradation control method of the system, relates to the technical field of safety control, and mainly aims to solve the problem that an existing safety instrument system is poor in safety protection flexibility and scene adaptability. The system mainly comprises three levels of an input module, a controller and an output module, each level comprises parallel channels with the same function, the input module comprises input channels with triple redundancy, the controller comprises controller channels with triple redundancy, and the output module comprises a hardware decision circuit based on a multi-switch circuit and output channels with triple redundancy. Five levels of voting are completed in the system and specifically comprise the first level of voting of an input module, the second level of voting and the third level of voting of a controller, the fourth level of voting of an output module and final driving of a hardware decision circuit, the voting of any level is executed according to a voting mode, and the voting mode is determined based on a degradation strategy of 3-3-2-2-1-0. The method is mainly used for safety control.

The invention relates to the technical field of gas heating facility control, in particular to a safety control method for a flammable and explosive gas heating facility, which comprises the following steps of: establishing a double-layer control structure based on a distributed control system (DCS) and a safety instrument system (SIS), and configuring an automatic ignition device, a flame detection unit, a gas three-valve group and an air flow control valve, the DCS is used for technological process control, and the SIS is used for safety interlocking and emergency disposal; in the system starting stage, the ignition control box sends a reset / ignition instruction to enter the SIS system. According to the system, the SIS independently executes safety interlocking logic, monitors the flame state in real time, preferentially cuts off gas in an abnormal state, drives the air valve to be fully opened and executes hearth replacement operation, meanwhile, a furnace shutdown signal is sent to the DCS, and the DCS controls and monitors the states of the air valve and the gas valve in real time. And independence and coordination of process control and safety interlocking are realized.

The invention provides a safety instrument system parking loop construction method and system based on cross-system credible signal transmission, and the construction method comprises the steps: generating a composite safety alarm message in a GDS system when detecting that the gas concentration exceeds a preset trigger threshold value; packaging the composite security alarm message into a security communication frame through a security communication protocol, and transmitting the security communication frame from a GDS system to an SIS and an EDS system; the SIS system and the EDS system receive and analyze the safety communication frame, two-stage voting is carried out on signal credibility, and when the two-stage voting is passed, the core alarm state in the composite safety alarm message is judged as a credible signal; and the SIS system and the EDS system take the credible signal as input to trigger a safety instrument function for safe parking. The invention further discloses a corresponding safety instrument system parking loop system. A traditional one-way signal transmission mode is thoroughly changed, a high-integrity safety circuit with end-to-end diagnosis capacity is constructed, and the reliability and safety of the function of the safety instrument are remarkably improved.

This invention discloses a primary frequency regulation prediction system for thermal power units based on deep peak shaving, belonging to the field of power system and automatic control technology. Its key technical points include the following steps: Step 1: Acquiring historical thermal power unit parameters and regulation control commands from the distributed control system (DCS) and safety instrumented system (SIS); Step 2: Preprocessing the acquired historical data to ensure accuracy; Step 3: Extracting primary frequency regulation data segments from the preprocessed data using short-time Fourier transform (STFT); Step 4: Performing characteristic analysis of primary frequency regulation on the obtained data through time series distribution offset normalization. This system has the advantages of real-time acquisition of thermal power unit operating parameters, focusing on analyzing parameters with higher risk identified by the prediction system, enabling flexible coordination between the monitoring and prediction systems, reducing the load on the monitoring system, minimizing thermal power unit operational failures, and significantly improving system stability.

The application relates to a safety instrument system interlocking operation rate calculation method, device, equipment and storage medium. The method comprises the following steps: configuring a screening rule, the screening rule comprising: control station selection, bit number grouping selection and / or bit number keyword selection; the total number of SIF circuits is counted, an ODBC interface is connected to a SCADA local database, a SQL query statement is constructed according to the screening rule, the total number of bit numbers meeting all screening conditions is retrieved and counted, and the total number of bit numbers is used as a denominator; the current state value of the bit number interlocking switching variable is obtained through a SCADA real-time data interface by traversing each bit number retrieved, and the number of bit numbers with a statistical state value of interlocking input is used as a numerator; and the interlocking operation rate is calculated and output according to the number of normally operated circuits and the total number of SIF circuits. Therefore, the automation and flexibility of the SIS system interlocking operation rate are realized, and the calculation cost is significantly reduced.

This application provides a data processing method and a safety instrumented system (SAS) applied to a server. The method receives a SAS design request from a user device, the request including any one or more regulations, standards, laws, industry standards, and policies. The method evaluates the SAS design request to obtain a first evaluation result. Based on the first evaluation result, it matches a corresponding SAS design from a pre-set SAS library. Finally, it sends the SAS design to the user device to facilitate implementation. This method can set up a SAS corresponding to the specific needs of different factories and enterprises, facilitating the identification of potential risks.

The invention discloses a safety instrument system communication method and system based on a redundant control bus, and relates to the technical field of industrial automation control, and the method comprises the steps: generating a safety instrument communication message, and transmitting the safety instrument communication message to a first control bus and a second control bus at the same time; according to feedback signals of the first control bus and the second control bus, identifying a signal intensity change direction and an error rate change direction of each bus to form a first direction combination and a second direction combination; comparing the first direction combination with the second direction combination, and outputting a combination relation comparison result of the current period; according to the method, the bus state evolution trend and the cooperative relationship are accurately perceived, and the system should be in a cooperative or deviated evolution mode according to the dynamic relevance of state change, so that a fundamental basis is provided for dynamic and optimal scheduling of communication resources; and the adaptability and foresight of communication management of the safety instrument system under complex working conditions are obviously improved.

The invention provides a safety instrument system fault prediction method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, based on a safety instrument system, the method comprises the following steps: periodically monitoring the safety instrument system to obtain system operation data; inputting the system operation data into a fault prediction model to obtain fault prediction data, the fault prediction model being constructed based on an improved GRBT regression tree algorithm; comparing the fault prediction data with an equipment health probability threshold to obtain a comparison result; according to the comparison result, the fault prediction result is input into a fault diagnosis model to obtain a fault analysis result, and the fault diagnosis model is constructed based on a BP neural network. According to the invention, the fault prediction precision of the safety instrument system is improved.

The application provides a general input and output module and a fault diagnosis method, which are applied to the technical field of safety instrument systems, and the general input and output module comprises an analog quantity input circuit, an analog quantity output circuit, a switching quantity input circuit, a switching quantity output circuit, a differential amplification module, a first analog-digital converter, a second analog-digital converter, a first control module and a second control module; wherein, the analog quantity input circuit, the analog quantity output circuit, the switching quantity input circuit and the switching quantity output circuit have a common general circuit, thereby, the number of devices of the general input and output module is reduced, the architecture complexity of the general input and output module is also reduced, and the manufacturing cost of the general input and output module is reduced; and the fault diagnosis method is used for diagnosing whether there is a fault in the general input and output module, troubleshooting the general input and output module in time, and improving the performance of the general input and output module.