An industrial safety SIS control system

Abstract

The application discloses an industrial safety SIS control system, and relates to the technical field of industrial safety control, comprising a first data acquisition module, a target data selection module, a second data acquisition module, a model construction module, an auxiliary feedback response module, a control center, a priori knowledge base and an industrial field operation and maintenance unit; the application controls the early warning information and the alarm information by the control strategy associated with the early warning information and the alarm information when the early warning prompt parameter occurrence time node in the early warning information and the target alarm parameter occurrence time node in the alarm information, and finally issues the control strategy to the industrial field operation and maintenance unit, so that the early warning capability about the alarm in the whole control process is effectively improved, the stable operation of the SIS system can be ensured, and great economic losses can be avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of industrial safety control, and particularly relates to an industrial safety SIS control system. BACKGROUND

[0002] SIS is a safety instrumentation system, Safety instrumentation System, SIS for short; also known as a safety interlocking system (Safety interlocking System), is a control system used to realize one or more safety instrumentation functions. It is mainly used for alarm and interlocking in factory control systems, and implements alarm action or adjustment or shutdown control on the detected results in the control system, and is an important part of automatic control in factories and enterprises.

[0003] The current industrial safety SIS control system has poor early warning capability, and generally uses a built-in mathematical control model to collect the running parameters of each industrial instrument device in the safety instrumentation system in real time to determine whether a fault occurs, and after detecting the occurrence of a fault, a control strategy is issued for on-site personnel to control the on-site instrument device. The above process lacks early warning capability for fault occurrence, making the control quality of the control system insufficient, and it is difficult to meet the safety control of complex safety instrumentation systems. Therefore, the present application proposes an industrial safety SIS control system to solve the problems in the prior art. SUMMARY

[0004] In view of the above problems, the purpose of the present application is to provide an industrial safety SIS control system, which controls the early warning information and the alarm information by associating the control strategies generated by the industrial safety SIS actual control mathematical model at the time node when the early warning prompt parameter in the early warning information occurs and at the time node when the target alarm parameter in the alarm information occurs, and finally issues the control strategy to the industrial field operation and maintenance management unit, so that the early warning capability about the alarm in the entire control process is effectively improved, and the stable operation of the SIS system can be ensured to avoid large economic losses.

[0005] To achieve the above purpose, the present application provides the following technical scheme:

[0006] An industrial safety SIS control system, comprising a first data acquisition module, a target data selection module, a second data acquisition module, a model construction module, an auxiliary feedback response module, a control center, a priori knowledge base and an industrial field operation and maintenance management unit;

[0007] The first data acquisition module is used to collect the full-process running parameters of the industrial instrument devices in a plurality of complete production cycles T in the historical production process, and mark the data as historical parameters;

[0008] The target data selection module is configured to select, from the historical parameters collected by the first data collection module, an operating parameter of the industrial instrument device at the time of failure of the industrial instrument device, mark the parameter as a failure parameter, and select, from the historical parameters collected by the first data collection module, an operating parameter of the industrial instrument device before the failure of the industrial instrument device, and mark the parameter as a pre-warning prompt parameter;

[0009] The second data collection module is configured to collect a real-time operating parameter of the industrial instrument device in the production process, and mark the parameter as a real-time parameter;

[0010] The model construction module is configured to construct an industrial safety SIS theoretical control mathematical model according to the optimal operating parameter of the industrial instrument device, and optimize the industrial safety SIS theoretical control mathematical model by using the real-time parameter of the second data collection module to form an industrial safety SIS actual control mathematical model, the industrial safety SIS actual control mathematical model being configured to generate a real-time result prediction and a corresponding control strategy for the real-time parameter, and mark a parameter in the real-time parameter that matches the pre-warning prompt parameter as a target pre-warning parameter, and mark a parameter in the real-time parameter that matches the failure parameter as a target alarm parameter;

[0011] The auxiliary feedback response module is configured to feed back, in real time, a time at which the target pre-warning parameter matches in the industrial safety SIS actual control mathematical model to the control center to form pre-warning information, and feed back, in real time, a time at which the target alarm parameter matches to the control center to form alarm information;

[0012] The control center is configured to receive, in real time, the real-time result and the control strategy generated by the industrial safety SIS actual control mathematical model, and synchronously receive the pre-warning information and the alarm information sent by the auxiliary feedback response module, then associate the control strategy with the pre-warning information and the alarm information when the pre-warning prompt parameter in the pre-warning information occurs at a time node and when the target alarm parameter in the alarm information occurs at a time node, and finally issue the control strategy to an industrial field operation and maintenance unit;

[0013] The priori knowledge base is configured to store various priori control strategies and emergency control strategies, and update the stored priori control strategies in real time;

[0014] The industrial field operation and maintenance unit is configured to perform comprehensive operation and maintenance operations on the industrial instrument device in the industrial field according to the control strategy issued by the control center and the priori control strategy stored in the priori knowledge base.

[0015] Further improvement lies in that when the target data selection module selects the operation parameters of the industrial instrument device before the occurrence of the fault of the industrial instrument device from the historical parameters collected by the first data collection module, the operation parameters of the industrial instrument device in n time periods t1 before the occurrence of the fault of the industrial instrument device are selected, and the parameters are marked as early warning prompt parameter 1, early warning prompt parameter 2, …, and early warning prompt parameter n.

[0016] Further improvement lies in that when the industrial safety SIS actual control mathematical model marks the parameters matched with the early warning prompt parameters in the real-time parameters as target early warning parameters, the parameters matched with the early warning prompt parameter 1, the early warning prompt parameter 2, …, and the early warning prompt parameter n in the real-time parameters are marked as the target early warning parameter 1, the target early warning parameter 2, …, and the target early warning parameter n.

[0017] Further improvement lies in that when the auxiliary feedback response module is used to feed back the real-time response of the occurrence time of the target early warning parameters in the industrial safety SIS actual control mathematical model to the control center to form early warning information, the real-time response of the occurrence time of the target early warning parameter 1, the target early warning parameter 2, …, and the target early warning parameter n in the industrial safety SIS actual control mathematical model is fed back to the control center to form early warning information 1, early warning information 2, …, and early warning information n.

[0018] Further improvement lies in that when the control center associates the control strategy and issues the control strategy, the control center is used to receive the real-time results generated by the industrial safety SIS actual control mathematical model and the control strategy in real time, and synchronously receives the early warning information 1, the early warning information 2, …, and the early warning information n and the alarm information sent by the auxiliary feedback response module, then associates the control strategy with the early warning information 1, the early warning information 2, …, and the early warning information n and the alarm information according to the control strategy generated by the industrial safety SIS actual control mathematical model at the time nodes of the occurrence of the early warning prompt parameter 1, the target early warning parameter 2, …, and the target early warning parameter n in the early warning information 1, the early warning information 2, …, and the early warning information n and the time node of the occurrence of the target alarm parameter in the alarm information, and finally issues the control strategy to the industrial field operation and maintenance unit.

[0019] Further improvement lies in that the data processing unit is embedded in the second data collection module, and the data processing unit is used to clean, classify and integrate the real-time parameters collected by the second data collection module, and normalize the real-time parameters.

[0020] Further improvement lies in that the industrial safety SIS actual control mathematical model is further used to predict and calculate the time required for the target early warning parameter to develop into the target alarm parameter, and the time is synchronously fed back to the control center as a response time t2, and the control center issues the control strategy to the industrial field operation and maintenance unit, including synchronously issuing the response time t2.

[0021] Further improvement lies in that when the response time t2 is calculated by the industrial safety SIS actual control mathematical model, the response time t2 is dynamically changed in the form of reciprocal immediately to form a dynamic response time t2', and the control center issues the dynamic response time t2'.

[0022] Further improvement lies in that an emergency alarm control unit is embedded in the industrial safety SIS actual control mathematical model, when the industrial safety SIS actual control mathematical model matches the real-time parameters with the early warning prompt parameters, and the number of target early warning parameters obtained by matching is greater than or equal to 3, the emergency alarm control unit directly issues early warning information containing the target early warning parameter content to the industrial field operation and maintenance management unit to prompt the operation and maintenance personnel in the industrial field operation and maintenance management unit to perform industrial safety control according to the emergency control strategy in the priori knowledge base.

[0023] Further improvement lies in that when the control center associates the control strategies related to the early warning information 1, the early warning information 2,..., and the early warning information n and issues the control strategies to the industrial field operation and maintenance management unit, the method further comprises performing a feasibility analysis on the control strategies related to the early warning information 1, the early warning information 2,..., and the early warning information n, judging whether to issue the control strategies generated by the industrial safety SIS actual control mathematical model according to the feasibility analysis result, and when the control strategies generated by the industrial safety SIS actual control mathematical model are not issued, only the priori control strategies in the priori knowledge base are issued.

[0024] The beneficial effects of the present application are that: the present application selects early warning prompt parameters by using a target data selection module, then generates real-time result prediction and corresponding control strategies by using an industrial safety SIS actual control mathematical model, and labels the parameters matched with the early warning prompt parameters in the real-time parameters as target early warning parameters, and labels the parameters matched with the fault parameters in the real-time parameters as target alarm parameters, a auxiliary feedback response module feeds back the target early warning parameter occurrence time to the control center in real time to form early warning information, and feeds back the target alarm parameter occurrence time to the control center in real time to form alarm information, the control center receives the real-time result and the control strategies generated by the industrial safety SIS actual control mathematical model in real time, and synchronously receives the early warning information and the alarm information sent by the auxiliary feedback response module, then associates the control strategies generated by the industrial safety SIS actual control mathematical model with the early warning information and the alarm information when the early warning prompt parameter occurrence time node in the early warning information and the target alarm parameter occurrence time node in the alarm information, and finally issues the control strategies to the industrial field operation and maintenance management unit, so that the early warning ability about the alarm in the whole control process is effectively improved, the stable operation of the SIS system can be ensured, and great economic losses can be avoided. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 is a schematic diagram of the system framework structure of the present application;

[0026] Figure 2 is a schematic diagram of the system operation flow of the present application;

[0027] Figure 3 is a schematic diagram of the control strategy logic flow issued by the control center of the present application;

[0028] Figure 4 is a schematic diagram of the early warning information and alarm information production flow of the present application. DETAILED DESCRIPTION

[0029] In order to deepen the understanding of the present application, the present application will be further described in combination with embodiments, and the embodiments are only used to explain the present application and do not constitute a limitation on the protection scope of the present application.

[0030] According to Figures 1-4 , the present embodiment proposes an industrial safety SIS control system, which comprises a first data acquisition module, a target data selection module, a second data acquisition module, a model construction module, an auxiliary feedback response module, a control center, a priori knowledge base and an industrial field operation and maintenance management unit;

[0031] The first data acquisition module is used to acquire the full-process operation parameters of the industrial instrument equipment in a plurality of complete production cycles T in the historical production process, and mark the data as historical parameters;

[0032] The target data selection module is used to select the operation parameters of the industrial instrument equipment when the industrial instrument equipment fails from the historical parameters acquired by the first data acquisition module, mark the parameters as fault parameters, and comprises selecting the operation parameters of the industrial instrument equipment in n time cycles t1 before the failure of the industrial instrument equipment, marking the parameters as early warning prompt parameters 1, early warning prompt parameters 2... early warning prompt parameters n; by taking the operation parameters of the industrial instrument equipment in n time cycles t1 before the failure of the industrial instrument equipment as the early warning prompt parameters, it can be judged whether the failure will occur or is about to occur by monitoring and acquiring the operation data in the operation process of the industrial instrument equipment;

[0033] and selecting the operation parameters of the industrial instrument equipment before the failure of the industrial instrument equipment from the historical parameters acquired by the first data acquisition module, marking the parameters as early warning prompt parameters;

[0034] The second data acquisition module is used for collecting real-time running parameters of industrial instrument equipment in a production process, marking the parameters as real-time parameters, and embedding a data processing unit in the second data acquisition module, which is used for data cleaning, classification and integration of the real-time parameters collected by the second data acquisition module, and normalizing the real-time parameters; through data processing, the integrity and reliability of the data can be effectively guaranteed;

[0035] The model construction module is used for constructing an industrial safety SIS theoretical control mathematical model according to the optimal parameters of the industrial instrument equipment, and optimizing the industrial safety SIS theoretical control mathematical model by using the real-time parameters of the second data acquisition module to form an industrial safety SIS actual control mathematical model, which is used for real-time result prediction generation and corresponding control strategy generation of the real-time parameters, and marking the parameters in the real-time parameters matching the early warning prompt parameters as target early warning parameters, specifically marking the parameters in the real-time parameters matching the early warning prompt parameter 1, early warning prompt parameter 2... early warning prompt parameter n as target early warning parameter 1, target early warning parameter 2... target early warning parameter n, and the industrial safety SIS actual control mathematical model is also used for marking the parameters in the real-time parameters matching the fault parameters as target alarm parameters; the industrial safety SIS actual control mathematical model is also used for predicting the time required for the target early warning parameters to develop into target alarm parameters, and feeding back the time as a response time t2 to the control center synchronously, when the industrial safety SIS actual control mathematical model calculates the response time t2, the response time t2 changes dynamically in the form of countdown immediately, forming a dynamic response time t2', the control center issues the response time specifically issues the dynamic response time t2', for example, the calculated response time t2 is equal to 120 seconds, then a total of 5 seconds is elapsed from the calculation of the response time t2 to the issuance of the response time by the control center, so when the control center issues the response time, it starts to issue at a time of 115 seconds, and when the industrial field operation and maintenance unit receives the response time, the time consumed by data transmission should be subtracted; an emergency alarm control unit is embedded in the industrial safety SIS actual control mathematical model, when the industrial safety SIS actual control mathematical model matches the real-time parameters with the early warning prompt parameters, if the number of target early warning parameters obtained by matching is ≥3, the emergency alarm control unit directly issues early warning information containing the target early warning parameter content to the industrial field operation and maintenance unit to prompt the operation and maintenance personnel in the industrial field operation and maintenance unit to perform industrial safety control according to the emergency control strategy in the priori knowledge base, through such control, the response to the alarm can be realized quickly, and the process time consumption can be avoided to affect the control timeliness of the alarm;

[0036] The auxiliary feedback response module is configured to match the occurrence time of the target early warning parameters in the industrial safety SIS actual control mathematical model to real-time feedback response to the control center to form early warning information, specifically: matching the occurrence time of the target early warning parameters 1, target early warning parameters 2... target early warning parameters n in the industrial safety SIS actual control mathematical model to real-time feedback response to the control center to form early warning information 1, early warning information 2... early warning information n, and the auxiliary feedback response module is also configured to match the occurrence time of the target alarm parameters to real-time feedback response to the control center to form alarm information.

[0037] The control center is configured to receive the real-time results and control strategies generated by the industrial safety SIS actual control mathematical model in real time, and synchronously receive the early warning information 1, early warning information 2... early warning information n and alarm information sent by the auxiliary feedback response module, then associate the control strategies generated by the industrial safety SIS actual control mathematical model with the early warning information 1, early warning information 2... early warning information n and alarm information at the occurrence time nodes of the early warning prompt parameters 1, target early warning parameters 2... target early warning parameters n in the early warning information 1, early warning information 2... early warning information n and the occurrence time nodes of the target alarm parameters in the alarm information, and finally issue the control strategies to the industrial field operation and maintenance unit, and in the process, the control center further includes feasibility analysis on the control strategies related to the early warning information 1, early warning information 2... early warning information n, and determines whether to issue the control strategies generated by the industrial safety SIS actual control mathematical model according to the feasibility analysis results, and when the control strategies generated by the industrial safety SIS actual control mathematical model are not issued, only the prior control strategies in the prior knowledge base are issued.

[0038] The prior knowledge base is configured to store various prior control strategies and emergency control strategies, and update the stored prior control strategies in real time.

[0039] The industrial field operation and maintenance unit is configured to perform comprehensive industrial field industrial instrument device operation and maintenance operations according to the control strategies issued by the control center and the prior control strategies stored in the prior knowledge base.

[0040] The application selects early warning prompt parameters by using a target data selection module, then generates real-time result prediction and corresponding control strategy for real-time parameters by using an industrial safety SIS actual control mathematical model, marks parameters matched with the early warning prompt parameters in the real-time parameters as target early warning parameters, marks parameters matched with fault parameters in the real-time parameters as target alarm parameters, feeds back the target early warning parameter occurrence time to a control center in real time to form early warning information by using an auxiliary feedback response module, feeds back the target alarm parameter occurrence time to the control center in real time to form alarm information, the control center receives the real-time result and control strategy generated by the industrial safety SIS actual control mathematical model in real time, and synchronously receives the early warning information and alarm information sent by the auxiliary feedback response module, then performs control strategy correlation on the early warning information and alarm information by using the control strategy generated by the industrial safety SIS actual control mathematical model when the early warning prompt parameter occurrence time node in the early warning information and the target alarm parameter occurrence time node in the alarm information, and finally issues the control strategy to an industrial field operation and maintenance management unit, so that the early warning capability about the alarm is effectively improved in the whole control process, the stable operation of the SIS system can be ensured, and great economic loss can be avoided.

[0041] The basic principles, main features and advantages of the application are shown and described above. It should be understood by those skilled in the art that the application is not limited by the above examples, the above examples and descriptions in the specification are only to illustrate the principles of the application, various changes and improvements can be made to the application without departing from the spirit and scope of the application, and these changes and improvements all fall within the scope of the claimed application. The scope of protection of the application is defined by the appended claims and their equivalents.

Claims

1. An industrial safety SIS control system, characterized in that: It includes a first data acquisition module, a target data selection module, a second data acquisition module, a model building module, an auxiliary feedback response module, a control center, a prior knowledge base, and an industrial field operation and maintenance management unit; The first data acquisition module is used to collect the full-process operating parameters of industrial instruments and equipment within multiple complete production cycles T during the historical production process, and mark the parameters as historical parameters; The target data selection module is used to select the operating parameters of the industrial instrument equipment when the industrial instrument equipment failure occurs from the historical parameters collected by the first data acquisition module, and mark the parameters as failure parameters; and to select the operating parameters of the industrial instrument equipment before the industrial instrument equipment failure occurs from the historical parameters collected by the first data acquisition module, and mark the parameters as early warning parameters. The second data acquisition module is used to collect real-time operating parameters of industrial instruments and equipment during the production process and mark these parameters as real-time parameters; The model building module is used to construct an industrial safety SIS theoretical control mathematical model based on the optimal operating parameters of industrial instrumentation equipment, and to optimize the industrial safety SIS theoretical control mathematical model using the real-time parameters of the second data acquisition module to form an industrial safety SIS actual control mathematical model. The industrial safety SIS actual control mathematical model is used to generate real-time result predictions and corresponding control strategies for real-time parameters, and to label the parameters in the real-time parameters that match the early warning parameters as target early warning parameters, and to label the parameters in the real-time parameters that match the fault parameters as target alarm parameters. The auxiliary feedback response module is used to provide real-time feedback of the occurrence time of the target early warning parameter matched in the actual control mathematical model of industrial safety SIS to the control center to form early warning information, and to provide real-time feedback of the occurrence time of the target alarm parameter matched to the control center to form alarm information. The control center is used to receive real-time results and control strategies generated by the actual control mathematical model of industrial safety SIS in real time, and synchronously receive early warning information and alarm information sent by the auxiliary feedback response module. Then, it associates the early warning information and alarm information with the control strategies generated by the actual control mathematical model of industrial safety SIS at the time node of the occurrence of the target early warning parameter in the early warning information and the time node of the occurrence of the target alarm parameter in the alarm information, and finally sends the control strategies to the industrial site operation and maintenance management unit. The prior knowledge base is used to store various prior control strategies and emergency control strategies, and the stored prior control strategies are updated in real time. The industrial field operation and maintenance management unit is used to perform comprehensive operation and maintenance management operations on industrial instruments and equipment in the industrial field based on the control strategies issued by the control center and the prior control strategies stored in the prior knowledge base.

2. The industrial safety SIS control system according to claim 1, characterized in that: When the target data selection module selects the operating parameters of the industrial instrument equipment before the failure of the industrial instrument equipment from the historical parameters collected by the first data acquisition module, it includes selecting the operating parameters of the industrial instrument equipment within n time periods t1 before the failure of the industrial instrument equipment, and marking the parameters as warning prompt parameter 1, warning prompt parameter 2... warning prompt parameter n.

3. The industrial safety SIS control system according to claim 2, characterized in that: When the industrial safety SIS actual control mathematical model calibrates the parameters in the real-time parameters that match the early warning parameters as target early warning parameters, specifically: the parameters in the real-time parameters that match early warning parameter 1, early warning parameter 2... early warning parameter n are calibrated as target early warning parameter 1, target early warning parameter 2... target early warning parameter n.

4. The industrial safety SIS control system according to claim 3, characterized in that: The auxiliary feedback response module is used to provide real-time feedback of the occurrence time of the target early warning parameter matched in the actual control mathematical model of industrial safety SIS to the control center to form early warning information. Specifically, it provides real-time feedback of the occurrence time of the target early warning parameter 1, target early warning parameter 2... target early warning parameter n matched in the actual control mathematical model of industrial safety SIS to the control center to form early warning information 1, early warning information 2... early warning information n.

5. An industrial safety SIS control system according to claim 4, characterized in that: When the control center associates and distributes control strategies, it specifically receives real-time results and control strategies generated by the actual control mathematical model of industrial safety SIS, and simultaneously receives warning information 1, warning information 2... warning information n and alarm information sent by the auxiliary feedback response module. Then, it associates the control strategies generated by the actual control mathematical model of industrial safety SIS with the time nodes when target warning parameters 1, 2... n and n occur in warning information 1, warning information 2... n and the time nodes when target alarm parameters occur in alarm information, and finally distributes the control strategies to the industrial site operation and maintenance management unit.

6. The industrial safety SIS control system according to claim 1, characterized in that: The second data acquisition module has an embedded data processing unit, which is used to clean, classify and integrate the real-time parameters acquired by the second data acquisition module, and standardize the real-time parameters.

7. An industrial safety SIS control system according to claim 5, characterized in that: The industrial safety SIS actual control mathematical model is also used to predict and calculate the time required for the target early warning parameter to develop into the target alarm parameter. This time is used as the response time t2 and synchronously fed back to the control center. When the control center issues control strategies to the industrial site operation and maintenance management unit, it includes synchronously issuing the response time t2.

8. An industrial safety SIS control system according to claim 7, characterized in that: When the industrial safety SIS actual control mathematical model calculates the response time t2, the response time t2 immediately changes dynamically in the form of a reciprocal to form a dynamic response time t2'. When the control center issues the response time, it specifically issues the dynamic response time t2'.

9. An industrial safety SIS control system according to claim 8, characterized in that: The industrial safety SIS actual control mathematical model is embedded with an emergency alarm control unit. When the industrial safety SIS actual control mathematical model matches the real-time parameters with the early warning parameters, if the number of matched target early warning parameters is ≥3, the emergency alarm control unit directly sends an early warning information containing the target early warning parameters to the industrial site operation and maintenance management unit to prompt the operation and maintenance personnel in the industrial site operation and maintenance management unit to carry out industrial safety control according to the emergency control strategy in the prior knowledge base.

10. An industrial safety SIS control system according to claim 9, characterized in that: When the control center associates control strategies related to early warning information 1, early warning information 2... early warning information n and issues these control strategies to the industrial site operation and maintenance management unit, it also includes performing a feasibility analysis on the control strategies related to early warning information 1, early warning information 2... early warning information n. Based on the feasibility analysis results, it determines whether to issue the control strategies generated by the actual control mathematical model of the industrial safety SIS. If the control strategies generated by the actual control mathematical model of the industrial safety SIS are not issued, only the prior control strategies in the prior knowledge base are issued.

Images