CN113552853B

CN113552853B - Alarm management method and device for multiple working conditions of chemical system

Info

Publication number: CN113552853B
Application number: CN202110720235.8A
Authority: CN
Inventors: 邵巍龙; 王再富
Original assignee: Beijing Guokong Tiancheng Technology Co ltd
Current assignee: Beijing Guokong Tiancheng Technology Co ltd
Priority date: 2021-06-28
Filing date: 2021-06-28
Publication date: 2022-11-15
Anticipated expiration: 2041-06-28
Also published as: CN113552853A

Abstract

The application discloses a chemical system multi-working-condition alarm management method and a device, wherein the method comprises the following steps: collecting state data in multiple working conditions of a chemical system; judging whether an abnormal state exists under each working condition according to a preset alarm rule and state data of each working condition; when at least one abnormal state exists under the target working condition, acquiring a state weight value and a state influence value of each abnormal state under the target working condition; calculating an alarm value of an alarm signal corresponding to each abnormal state according to the state weight value and the state influence value; and grading the alarm signals according to the alarm values. The method and the device are used for relieving the problems of flooding of alarm signals and poor reliability in the chemical system with numerous chemical equipment.

Description

Alarm management method and device for multiple working conditions of chemical system

Technical Field

The application relates to the field of chemical industry, in particular to a multi-working-condition alarm management method and device for a chemical system.

Background

In modern chemical enterprises, alarming is used as a process operation auxiliary means and one of important safety measures, and plays an indispensable role in the modern industrial production process. However, because the alarm has wide application, people have different cognition on the alarm, the alarm often cannot achieve the required effect in the production process, and even a poor alarm system not only has no positive support to an operator, but also causes negative interference to the operation.

In 2016, the International Automation Association issued Standard ANSI/ISA-18.2-2016 alarm System management in the Process industry, defining alarms as: the abnormal function, the process deviation or the abnormal state of the equipment is informed to an operator by adopting sound and/or light measures, and the timely response is required.

Especially in a modern chemical system, under the condition that chemical equipment is numerous, an integral alarm management system and strategy are lacked, the intention of alarming is not well defined and classified at the beginning of design, and the problems of alarm flooding and poor reliability are easily caused due to random alarm setting.

Disclosure of Invention

In order to solve the problems of alarm signal flooding and poor reliability in a chemical system, the application provides a multi-working-condition alarm management method and device for the chemical system.

In a first aspect, the application provides a chemical system multi-condition alarm management method, which adopts the following technical scheme:

a multi-working-condition alarm management method for a chemical system comprises the following steps:

collecting state data in multiple working conditions of a chemical system;

judging whether an abnormal state exists under each working condition according to a preset alarm rule of each working condition and the state data;

when at least one abnormal state exists under a target working condition, acquiring a state weight value and a state influence value of each abnormal state under the target working condition;

calculating an alarm value of an alarm signal corresponding to each abnormal state according to the state weight value and the state influence value;

and classifying the alarm signal according to the alarm value.

By adopting the technical scheme, the state data in multiple working conditions in the chemical system are respectively collected, the multiple working conditions can be working conditions of each chemical production process and node, such as working node working conditions of starting, production process, brand switching working conditions and working node working conditions of shutdown, and the like, and the state data can reflect the operation, operation and equipment operation states of the chemical system under different working conditions, so that whether abnormal states exist under each working condition can be judged on the basis of the state data according to the preset alarm rule under each working condition, for example, under the working conditions of the production process, the temperature threshold of the reaction furnace is 300 ℃, products in the furnace or the reaction furnace can be damaged when the temperature exceeds 300 ℃, abnormal states can be judged according to the state data (temperature value) of the reaction furnace, after the working conditions with the abnormal states are determined as target working conditions, the state weight value and the state influence value of each abnormal state under the target working conditions are obtained, and the state weight value and the state influence value can be preset, also can be obtained by calculation, and are not specifically limited; and calculating to obtain an alarm value of the alarm signal corresponding to each abnormal state according to the state weight value and the state influence value, and grading the alarm signals according to the alarm values. The alarm signal is calculated according to the state weight value and the state influence value of the abnormal state under each working condition, and then the alarm value is graded according to the alarm value, so that the alarm signal is graded and displayed under different working conditions, and the problems of alarm signal flooding and poor reliability in chemical systems with numerous chemical equipment can be effectively solved.

Optionally, the multiple operating modes include a start-up node operating mode, a production process operating mode, a grade switching operating mode and a stop node operating mode, and the method includes the following steps of judging whether an abnormal state exists under each operating mode according to a preset alarm rule of each operating mode and the state data:

determining a start-up state threshold range according to a preset alarm rule of the start-up node working condition, and judging whether state data in the start-up node working condition meets the start-up state threshold range or not;

if the state data in the working node working condition does not meet the threshold range of the working state, determining that at least one abnormal state exists in the working node working condition;

if the state data in the working condition of the working node meets the threshold range of the working state, determining that no abnormal state exists in the working condition of the working node, determining the threshold range of the working process state according to a preset alarm rule of the working condition of the production process, and judging whether the state data in the working condition of the production process meets the threshold range of the working process state;

if the state data in the working conditions of the production process do not meet the threshold range of the state of the production process, determining that at least one abnormal state exists under the working conditions of the production process;

if the state data in the working condition of the production process meets the threshold range of the state of the production process, determining that no abnormal state exists in the working condition of the production process, determining the threshold range of the grade switching state according to the preset alarm rule of the grade switching working condition, and judging whether the state data in the working condition of the grade switching meets the threshold range of the grade switching state;

if the state data in the grade switching working condition does not meet the grade switching state threshold range, determining that at least one abnormal state exists under the grade switching working condition;

if the state data in the grade switching working condition meets the grade switching state threshold range, determining that no abnormal state exists under the grade switching working condition, determining a shutdown state threshold range according to a preset alarm rule of the shutdown node working condition, and judging whether the state data in the shutdown node working condition meets the shutdown state threshold range;

if the state data in the shutdown node working condition does not meet the shutdown state threshold range, determining that at least one abnormal state exists in the shutdown node working condition;

and if the state data in the shutdown node working condition meets the shutdown state threshold range, determining that no abnormal state exists in the shutdown node working condition.

Through adopting above-mentioned technical scheme, selected the node operating mode of starting to work in the chemical industry system, production process operating mode, brand switch operating mode and the highest operating mode of these four importance of the node operating mode of stopping work, according to chemical industry system's execution order, be the first work of starting to carry out, produce again, if need switch over product or material in the production process, then carry out the brand and switch over, stop again at last, so according to chemical industry system's order, judge to the abnormal state of every operating mode and be: determining a start-up state threshold range according to a preset alarm rule of start-up node working conditions, and judging whether state data in the start-up node working conditions meet the start-up state threshold range or not so as to determine whether an abnormal state exists under the start-up node working conditions; when no abnormal state exists under the working node working condition, determining the threshold range of the production process state according to the preset alarm rule of the production process working condition, and judging whether the state data in the production process working condition meets the threshold range of the production process state or not, thereby determining whether the abnormal state exists under the production process working condition or not; when no abnormal state exists under the working condition of the production process, determining the threshold range of the grade switching state according to the preset alarm rule of the grade switching working condition, and judging whether the state data in the grade switching working condition meets the threshold range of the grade switching state or not so as to determine whether the abnormal state exists under the grade switching working condition or not; when no abnormal state exists under the brand switching working condition, determining the shutdown state threshold range according to the preset alarm rule of the shutdown node working condition, and judging whether the state data in the shutdown node working condition meets the shutdown state threshold range or not, thereby determining whether the abnormal state exists under the shutdown node working condition or not. The working conditions of a starting node, the working conditions of a production process, the working conditions of brand switching and the working conditions of a shutdown node are sequentially judged, so that the abnormal state of a chemical system under each working condition can be monitored, the state threshold ranges of judging the abnormal state are different for different working conditions, and the judgment of the abnormal state under multiple working conditions is distinguished, for example, the temperature of a reaction furnace under the working conditions of the starting node is required to be a preheating state, the threshold range of the temperature state is 50-100 ℃, the temperature lower than 50 ℃ and the temperature higher than 100 ℃ are abnormal states, the temperature of the reaction furnace under the working conditions of the production process is required to be 300-320 ℃, the temperature of the reaction furnace under 300 ℃ can affect products, the temperature of the reaction furnace and the products under 320 ℃ can be damaged, and the temperature lower than 300 ℃ and the temperature higher than 320 ℃ are abnormal states.

Optionally, the target working condition is any one of the working node working condition of starting operation, the working condition of production process, the grade switching working condition and the working condition of shutdown node, and the obtaining of the state weight value and the state influence value of each abnormal state under the target working condition includes:

determining the abnormal type of each abnormal state under the target working condition, wherein the abnormal type comprises chemical equipment abnormality, production process abnormality, material abnormality and process operation abnormality;

and determining a state weight value and a state influence value of each abnormal state according to the abnormal type.

By adopting the technical scheme, the target working condition is any one of the working condition of the start-up node, the working condition of the production process, the working condition of the brand switching and the working condition of the shutdown node, the target working condition comprises at least one abnormal state, the abnormal type of each abnormal state under the target working condition is determined firstly, and the abnormal focus is placed on four aspects of equipment, production, materials and operation aiming at the operation of a chemical system, so that the abnormal type can be the abnormality of chemical equipment, the abnormality of a production process, the abnormality of materials and the abnormality of process operation, and for each abnormal type, because the important degrees and influences of the equipment, the production, the materials and the operation on the product quality, the safety production and the like of the chemical system are different, the state weight value and the state influence value of each abnormal state can be determined according to expert experience or preset.

Optionally, the determining a state weight value and a state influence value of each abnormal state according to the abnormal type includes:

when the abnormal type is the abnormality of the chemical equipment, acquiring a weight configuration table of the chemical equipment of the chemical system, wherein the weight value of each chemical equipment in the weight configuration table is configured in advance according to the importance degree of the equipment;

obtaining the abnormal state weight value of the chemical equipment from the weight configuration table;

and determining a state influence value of the chemical equipment abnormity on the safe operation of the chemical equipment, wherein the larger the state influence value is, the more adverse the safe operation of the chemical equipment is.

By adopting the technical scheme, when the abnormality type is the abnormality of the chemical equipment, it is indicated that the abnormality of the chemical equipment possibly causes the fault or the fault has occurred, the weight configuration table of the chemical equipment of the chemical system is obtained, the weight value of each chemical equipment in the weight configuration table is pre-configured according to the importance degree of the equipment, the weight value corresponding to the chemical equipment with the abnormality of the chemical equipment is found from the weight configuration table, the weight value is used as the state weight value of the abnormality of the chemical equipment, and the state influence value of the abnormality of the chemical equipment on the safe operation of the chemical equipment is determined, and the larger the state influence value is, the more adverse the safe operation of the chemical equipment is. The method and the device have the advantages that the state weight value and the state influence value are obtained from the importance degree of the chemical equipment in which the abnormal state is located to the chemical system and the influence degree of the abnormal state to the safe operation of the chemical equipment respectively, so that the abnormal state can be evaluated numerically through two angles when the abnormal state occurs to the chemical equipment, the follow-up alarm signal aiming at the abnormal state is facilitated, and more accurate grading can be carried out in a numerical mode.

Optionally, the determining a state weight value and a state influence value of each abnormal state according to the abnormality type includes:

when the abnormal type is the abnormal production process, obtaining a weight configuration table of the production process of the chemical system, wherein the weight value of each production process in the weight configuration table is configured in advance according to the process importance degree;

obtaining a state weight value of the production process abnormity from the weight configuration table;

and determining a state influence value of the production process abnormity on the chemical production process, wherein the larger the state influence value is, the more adverse is the normal production of the chemical production process.

By adopting the technical scheme, when the abnormal type is the abnormal production process, the abnormal production process parameter or data is indicated to be abnormal, the product quality problem possibly caused is solved, the weight configuration table of the production process of the chemical system is obtained, the weight value of each production process in the weight configuration table is configured in advance according to the process importance degree, the state weight value of the abnormal production process is obtained from the weight configuration table, the state influence value of the abnormal production process on the chemical production process is determined, and the larger the state influence value is, the more adverse the normal production of the chemical production process is. The state weight value and the state influence value are obtained respectively according to the importance degree of the production process in the abnormal state to a chemical system and the influence degree of the production process abnormality to the chemical production process, so that the numerical evaluation on the abnormal state through two angles is realized when the abnormal state occurs in the production process, the follow-up alarm signal aiming at the abnormal state is facilitated, and more accurate grading can be carried out in a numerical mode.

when the abnormal type is the material abnormality, acquiring a weight configuration table of the materials of the chemical system, wherein the weight value of each material in the weight configuration table is configured in advance according to the importance degree of the material;

obtaining the state weight value of the material abnormity from the weight configuration table;

and determining a state influence value of the material abnormity on the chemical production process, wherein the larger the state influence value is, the more adverse is the normal production of the chemical production process.

By adopting the technical scheme, when the abnormal type is material abnormality, the material abnormality is shown in the production process of the product, the problems of product proportion, quality, forming and the like can be caused, the weight configuration table of the materials of the chemical system is obtained, the weight value of each material in the weight configuration table is configured in advance according to the importance degree of the material, the abnormal state weight value of the material is obtained from the weight configuration table, the state influence value of the material abnormality on the chemical production process is determined, and the larger the state influence value is, the more adverse the normal production of the chemical production process is. The method has the advantages that the state weight value and the state influence value are obtained from the importance degree of the material in the abnormal state to a chemical system and the influence degree of the material abnormality to the chemical production process, so that the abnormal state is numerically evaluated through two angles when the material is in the abnormal state, the follow-up alarm signal aiming at the abnormal state is convenient, and more accurate grading can be performed in a numerical mode.

when the abnormal type is the process operation abnormity, acquiring a weight configuration table of the process operation of the chemical system, wherein the weight value of each process operation in the weight configuration table is configured in advance according to the operation importance degree;

obtaining a state weight value of the process operation abnormity from the weight configuration table;

and determining a state influence value of the process operation abnormity on the chemical production process, wherein the larger the state influence value is, the more adverse is the normal production of the chemical production process.

By adopting the technical scheme, when the abnormal type is the process operation abnormity, the process operation abnormity of workers in the production process of the product is shown, the problems of product quality, personnel safety, equipment safety and the like can be caused, the weight configuration table of the process operation of the chemical system is obtained, the weight value of each process operation in the weight configuration table is configured in advance according to the operation importance degree, the state weight value of the process operation abnormity is obtained from the weight configuration table, the state influence value of the process operation abnormity on the chemical production process is determined, and the larger the state influence value is, the more the normal production of the chemical production process is unfavorable the process operation is. The state weight value and the state influence value are obtained respectively according to the importance degree of the process operation in the abnormal state to a chemical system and the influence degree of the process operation abnormity to the chemical production process, so that the numerical evaluation on the abnormal state through two angles is realized when the abnormal state occurs in the process operation, the follow-up alarm signal aiming at the abnormal state is facilitated, and more accurate grading can be carried out in a numerical mode.

Optionally, after the classifying the alarm signal according to the alarm value, the method further includes:

when the alarm signals are multiple and correspond to multiple abnormal states under the same working condition, judging whether an association relation exists among the multiple abnormal states;

when no incidence relation exists, displaying the graded alarm signal;

when at least two abnormal states have an association relationship, taking the abnormal state with the association relationship as a first state, and taking the abnormal state without the association relationship as a second state;

determining the sequence of at least two abnormal states in the first state, and generating related alarm signals for the alarm signals corresponding to the at least two abnormal states in the first state according to the sequence;

and displaying the associated alarm signal and the alarm signal corresponding to the second state.

By adopting the technical scheme, when the alarm signals are multiple and correspond to abnormal states under the same working condition, for example, all the alarm signals are caused by the abnormality of the chemical equipment under the working condition of the production process, which indicates that the chemical equipment may have a situation that one abnormal state causes another abnormal state, in order to help a user to find the essential problem of the chemical equipment from the multiple alarm signals, the alarm signals need to be simplified, namely, whether the multiple abnormal states have an association relationship or not is judged, at least two abnormal states with the association relationship are taken as a first state, the abnormal states without the association relationship are taken as a second state, the sequence of the at least two abnormal states in the first working condition is determined, which can be the time sequence of the occurrence of the abnormality, the alarm signals corresponding to the at least two abnormal states in the first state are generated into the association alarm signals according to the sequence, and the association alarm signals and the alarm signals corresponding to the second state are displayed; and if the association relation does not exist among all the abnormal states, displaying the graded alarm signal. Therefore, under the condition that a plurality of abnormal states occur under the same working condition, the alarm signals corresponding to the abnormal states with the incidence relation are generated into the incidence alarm signals through the sequence of the abnormal states with the incidence relation, and the simplification of numerous alarm signals is realized.

carrying out maintenance analysis on the abnormal state corresponding to the classified alarm signal;

when the abnormal state is determined to be normal by maintenance analysis, determining that the corresponding alarm signal is an invalid alarm, and deleting the corresponding alarm signal;

and when the abnormal state is determined to be abnormal by maintenance analysis, predicting an abnormal linkage state caused by the abnormal state according to a chemical engineering expert experience library, and generating a potential alarm signal corresponding to the abnormal linkage state.

By adopting the technical scheme, the judgment error of the abnormal state can be caused due to the problems of the failure of the collector of the state data and the like, therefore, the abnormal state corresponding to the classified alarm signal also needs to be maintained and analyzed, the maintenance and analysis can be realized by on-site observation of maintenance personnel or by remotely checking the state data by experts, and when the maintenance and analysis determines that the abnormal state is normal, the corresponding alarm signal is determined to be invalid alarm and needs to be deleted in time; when the maintenance analysis determines that the abnormal state is abnormal, the abnormal linkage state caused by the abnormal state is predicted according to the chemical engineering expert experience library, and a potential alarm signal corresponding to the abnormal linkage state is generated. The detection of invalid alarm can reduce wrong alarm signals and improve the alarm accuracy; and the prediction of the potential alarm signal can improve the early warning capability of the whole chemical system.

In a second aspect, the application provides an alarm management device for multiple working conditions of a chemical system, which adopts the following technical scheme:

the utility model provides an alarm management device of chemical industry system multiplex condition, includes:

the alarm management method comprises a memory, a processor and a program which is stored on the memory and can run on the processor, wherein the program can be loaded and executed by the processor to realize the alarm management method for the multiple working conditions of the chemical engineering system according to the first aspect.

In summary, the present application includes at least one of the following beneficial technical effects:

1. the alarm signal is calculated according to the state weight value and the state influence value of the abnormal state under each working condition, and then is graded according to the alarm value, so that the graded display of the alarm signal under different working conditions is realized, and the problems of alarm signal flooding and poor reliability in chemical systems with numerous chemical equipment can be effectively solved;

2. judging the working conditions of the starting node, the working conditions of the production process, the grade switching working conditions and the working conditions of the shutdown node in sequence, so that the abnormal state of the chemical system under each working condition can be supervised, and judging the abnormal state under different working conditions, wherein the state threshold ranges are different, so that the abnormal state under multiple working conditions can be distinguished;

3. the state weight value and the state influence value are obtained according to the abnormal type of the abnormal state, so that when the abnormal state occurs in chemical equipment, production technology, materials or technological operation, the abnormal state is evaluated numerically through the state weight value and the state influence value, the subsequent alarm signal aiming at the abnormal state is facilitated, and more accurate grading can be performed in a numerical mode;

4. under the condition that a plurality of abnormal states occur under the same working condition, the corresponding alarm signals are generated into associated alarm signals through the sequence among the plurality of abnormal states with the association relation, so that the simplification of a plurality of alarm signals is realized; the detection of invalid alarm can reduce wrong alarm signals and improve the alarm accuracy; and the prediction of the potential alarm signal can improve the early warning capability of the whole chemical system.

Drawings

Fig. 1 is a schematic flow chart of the multi-condition alarm management method of the chemical system of the present application.

Fig. 2 is a schematic flow chart of the present application for determining whether an abnormal state exists under each operating condition.

Fig. 3 is a first flowchart of a process for acquiring a state weight value and a state influence value in an abnormal state according to the present application.

Fig. 4 is a second flowchart of the process of acquiring the state weight value and the state influence value of the abnormal state according to the present application.

Fig. 5 is a third flowchart of the process of acquiring the state weight value and the state influence value in the abnormal state according to the present application.

Fig. 6 is a fourth flowchart illustrating a process of acquiring a state weight value and a state influence value in an abnormal state according to the present application.

Fig. 7 is a flow chart illustrating a process of extracting an associated alarm signal according to the present application.

Fig. 8 is a schematic structural diagram of the alarm management device for multiple operating modes of the chemical system according to the present application.

Description of reference numerals:

801. an acquisition module; 802. a judgment module; 803. an acquisition module; 804. a calculation module; 805. and an alarm signal grading module.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.

The embodiment of the application discloses a multi-working-condition alarm management method for a chemical system.

Referring to fig. 1, the method is performed by steps including:

and 101, collecting state data in multiple working conditions of the chemical system.

Wherein, in the whole operation process of the chemical system, the system has a plurality of working conditions, and the plurality of working conditions can be the working conditions of each chemical production process and node, such as the working conditions of a start-up node, the working conditions of a production process, the working conditions of brand switching, the working conditions of a stop node and the like, the state data can reflect the operation and operation of the chemical system and the operation state of the equipment under different working conditions. The collection can be carried out by devices such as sensors in a chemical system.

And 102, judging whether an abnormal state exists under each working condition according to the preset alarm rule and the state data of each working condition.

And judging whether an abnormal state exists under each working condition on the basis of the state data according to the preset alarm rule under each working condition.

103, when at least one abnormal state exists under the target working condition, acquiring a state weight value and a state influence value of each abnormal state under the target working condition.

Each working condition is independent, so that when at least one abnormal state exists under one working condition, the working condition with the abnormal state can be determined to be a target working condition, for example, when the target working condition is a production process working condition, the temperature threshold of the reaction furnace is 300 ℃ and the product in the furnace or the reaction furnace is damaged when the temperature exceeds 300 ℃ under the production process working condition, the abnormal state can be judged for the state data (temperature value) of the reaction furnace, and after the working condition with the abnormal state is determined to be the target working condition, the state weight value and the state influence value of each abnormal state under the target working condition are obtained, wherein the state weight value and the state influence value can be preset, can be obtained by calculation and are not particularly limited.

And 104, calculating the alarm value of the alarm signal corresponding to each abnormal state according to the state weight value and the state influence value.

The alarm value of the alarm signal corresponding to each abnormal state is calculated according to the state weight value and the state influence value, and the alarm value may be calculated by adding the state weight value and the state influence value, multiplying the state weight value and the state influence value, or by other calculation methods, which is not limited specifically.

And 105, grading the alarm signal according to the alarm value.

After the alarm value of the alarm signal is determined, the alarm signal may be divided by different threshold values, for example, the first level is 0 to 10, the second level is 10 to 20, and the third level is 20 to 30, if the alarm value of the alarm signal = state weight value (10) + state influence value (5) =15, the alarm signal belongs to the second level, in general, the larger the alarm value is, the higher the ranking of the alarm signal is, and in the subsequent alarm signal display, the alarm signal may be displayed in a more striking manner (for example, red is the highest ranking, yellow is the middle ranking, and green is the lowest ranking), or sequentially displayed from high to low in ranking.

The implementation principle of the embodiment is as follows: the abnormal state judgment method comprises the steps of judging the abnormal state of multiple working conditions through state data, obtaining a state weight value and a state influence value of the abnormal state by taking the working condition with the abnormal state as a target working condition, calculating an alarm value of an alarm signal corresponding to each abnormal state according to the state weight value and the state influence value, and grading the alarm signals according to the alarm values. The alarm signal is calculated according to the state weight value and the state influence value of the abnormal state under each working condition to obtain the alarm value, and then the alarm value is graded, so that the alarm signal is graded and displayed under different working conditions, and the problems of alarm signal flooding and poor reliability in chemical systems with numerous chemical equipment can be effectively solved.

In step 102 in the embodiment shown in fig. 1, since the multiple working conditions include a start-up node working condition, a production process working condition, a grade switching working condition, and a stop node working condition, and the existence of the multiple working conditions in the chemical system is continuous, the determination of the abnormal state of the working conditions may be specifically described in detail with the embodiment shown in fig. 2 according to the sequence of the working conditions.

Referring to fig. 2, the step of determining whether an abnormal state exists under each operating condition includes:

201, determining a threshold range of a start-up state according to a preset alarm rule of the working condition of the start-up node, judging whether state data in the working condition of the start-up node meets the threshold range of the start-up state, and if not, executing a step 202; if yes, go to step 203.

According to the working conditions in the chemical system, the working condition of a starting node is started, and then the working condition of the production process, the grade switching working condition and the working condition of a stopping node are sequentially started. Under the working condition of a start-up node, the setting of the state threshold range is different from that under the working conditions of a production process, a grade switching working condition and a shutdown node, taking a reaction furnace as an example, the temperature of the reaction furnace under the working condition of the start-up node is required to be a preheating state, the threshold range of the temperature state is 50-100 ℃, and the temperature lower than 50 ℃ and the temperature higher than 100 ℃ are abnormal states, while under the working condition of the production process, the temperature of the reaction furnace is required to be 300-320 ℃, if the temperature lower than 300 ℃ can affect products, and if the temperature higher than 320 ℃ can damage the reaction furnace and the products, the temperature lower than 300 ℃ and the temperature higher than 320 ℃ are abnormal states. Therefore, the preset alarm rules are different under different working conditions, and the corresponding state threshold ranges are also different, so that the judgment standards of abnormal states under different working conditions are different, the complexity of the abnormal states under multiple working conditions is reflected, and the alarm signals corresponding to the abnormal states are very complex. Firstly, judging whether state data in the working condition of a start-up node meets a start-up state threshold range, and if not, executing a step 202; if yes, go to step 203.

And 202, determining that at least one abnormal state exists under the working condition of the start node.

When the state data in the working condition of the start-up node does not meet the threshold range of the start-up state, at least one abnormal state can be determined to exist in the working condition of the start-up node.

203, determining that no abnormal state exists under the working node working condition, determining the threshold range of the production process state according to the preset alarm rule of the production process working condition, judging whether the state data in the production process working condition meets the threshold range of the production process state, and if not, executing a step 204; if yes, go to step 205.

If the state data in the working condition of the start-up node meets the threshold range of the start-up state, determining that no abnormal state exists in the working condition of the start-up node, indicating that the chemical system can be started up normally, entering the working condition of the production process after the start-up, judging whether the state data in the working condition of the production process meets the threshold range of the state of the production process according to the preset alarm rule under the working condition of the production process, and if not, executing the step 204; if yes, go to step 205.

And 204, determining that at least one abnormal state exists under the working condition of the production process.

And if the state data in the working conditions of the production process do not meet the threshold range of the state of the production process, determining that at least one abnormal state exists in the working conditions of the production process.

205, determining that no abnormal state exists under the working condition of the production process, determining the threshold range of the grade switching state according to the preset alarm rule of the grade switching working condition, judging whether the state data in the grade switching working condition meets the threshold range of the grade switching state, and if not, executing a step 206; if yes, go to step 207.

If the state data in the working condition of the production process meets the threshold range of the state of the production process, determining that no abnormal state exists in the working condition of the production process, indicating that the chemical system is in normal production, if product replacement or raw material replacement is needed in the production process, entering the grade switching working condition, judging whether the state data in the grade switching working condition meets the threshold range of the grade switching state according to the preset alarm rule of the grade switching working condition, and if not, executing a step 206; if yes, go to step 207.

206, determining that at least one abnormal state exists under the grade switching working condition.

And if the state data in the grade switching working condition does not meet the grade switching state threshold range, determining that at least one abnormal state exists under the grade switching working condition.

207, determining that no abnormal state exists under the grade switching working condition, determining a shutdown state threshold range according to a preset alarm rule of the shutdown node working condition, judging whether state data in the shutdown node working condition meets the shutdown state threshold range, if not, executing a step 208, and if so, executing a step 209.

If the state data in the brand switching working condition meets the brand switching state threshold range, determining that no abnormal state exists under the brand switching working condition, after the brand switching working condition is completed, continuing to enter the working condition of the production process for production, and only continuing to execute the step 203, wherein when the system is stopped, the adopted preset alarm rule is the shutdown state threshold range under the shutdown node working condition, judging whether the state data in the shutdown node working condition meets the shutdown state threshold range, if not, executing the step 208, and if so, executing the step 209.

And 208, determining that at least one abnormal state exists under the working condition of the shutdown node.

And if the state data in the shutdown node working condition does not meet the shutdown state threshold range, determining that at least one abnormal state exists in the shutdown node working condition.

And 209, determining that no abnormal state exists under the working condition of the shutdown node.

The implementation principle of the embodiment is as follows: the working node working condition, the production process working condition, the grade switching working condition and the shutdown node working condition are judged in sequence, so that the abnormal state of the chemical system under each working condition can be supervised, the state threshold value ranges for judging the abnormal state are different for different working conditions, and the abnormal state under multiple working conditions can be judged and distinguished.

In the embodiment shown in fig. 2, it is described that the chemical system is simultaneously executed under one working condition, and therefore the target working condition of the abnormal state may be any one of a start-up node working condition, a production process working condition, a grade switching working condition, and a stop node working condition, whereas step 103 in the embodiment shown in fig. 1 does not describe in detail the obtaining of the state weight value and the state influence value, and the following describes in detail the obtaining processes of the state weight values and the state influence values of the abnormal states of different abnormal types by the embodiments shown in fig. 3 to 6, respectively.

Referring to fig. 3, the step of obtaining the state weight value and the state influence value of the abnormal state includes:

301, the anomaly type of each anomaly state under the target operating condition is determined.

The operation of the chemical system is emphasized on four aspects of equipment, production, materials and operation, and the abnormal type can be chemical equipment abnormality, production process abnormality, material abnormality and process operation abnormality.

302, when the abnormality type is an abnormality of the chemical equipment, obtaining a weight configuration table of the chemical equipment of the chemical system, where a weight value of each chemical equipment in the weight configuration table is preconfigured according to an equipment importance level.

When the abnormal type is the abnormality of the chemical equipment, the chemical equipment is indicated to be abnormal, a fault may be caused, or the fault is already occurred, a weight configuration table of the chemical equipment of the chemical system is obtained, and the weight value of each chemical equipment in the weight configuration table is configured in advance according to the importance degree of the equipment. Besides, the weight configuration table can be filled according to the experience of chemical engineering experts.

303, obtaining the abnormal state weight value of the chemical equipment from the reconfiguration table.

And finding the weight value corresponding to the chemical equipment with the chemical equipment abnormity from the right reconfiguration table, and taking the weight value as the state weight value of the chemical equipment abnormity.

And 304, determining a state influence value of the chemical equipment abnormality on the safe operation of the chemical equipment, wherein the larger the state influence value is, the more adverse the safe operation of the chemical equipment is.

The method comprises the steps of determining a state influence value of the abnormality of the chemical equipment on the safe operation of the chemical equipment, wherein the larger the state influence value is, the more adverse the safe operation of the chemical equipment is, for example, the influence of abnormal temperature, abnormal air pressure and the like on the safe operation of a reaction furnace is great, the influence value is set to be larger, product inlet and outlet data only reflect the production condition of the reaction furnace, the influence on the safe operation of the reaction furnace is not great, and the influence value is set to be smaller.

The implementation principle of the embodiment is as follows: the state weight value and the state influence value are obtained from the importance degree of the chemical equipment where the abnormal state is located to a chemical system and the influence degree of the abnormal state to the safe operation of the chemical equipment respectively, so that when the abnormal state occurs to the chemical equipment, numerical evaluation is carried out on the abnormal state through two angles, a follow-up alarm signal aiming at the abnormal state is facilitated, and more accurate grading can be carried out in a numerical mode.

Referring to fig. 4, the step of obtaining the state weight value and the state influence value of the abnormal state includes:

401, the anomaly type for each anomalous condition under the target operating condition is determined.

402, when the abnormal type is the abnormal production process, obtaining a weight configuration table of the production process of the chemical system, wherein the weight value of each production process in the weight configuration table is configured in advance according to the process importance degree.

When the abnormal type is the abnormal production process, the abnormal parameters or data of the production process are indicated to be abnormal, the quality problem of the product can be caused, a weight configuration table of the production process of the chemical system is obtained, and the weight value of each production process in the weight configuration table is configured in advance according to the process importance degree. In addition, the weight configuration table can be made according to the experience of chemical engineering experts.

And 403, obtaining the state weight value of the production process abnormity from the reconfiguration table.

And finding out the weight value corresponding to the production process with the production process abnormity from the reconfiguration table, and taking the weight value as the state weight value of the production process abnormity.

And 404, determining a state influence value of the production process abnormity on the chemical production process, wherein the larger the state influence value is, the more adverse the normal production of the chemical production process is.

The implementation principle of the embodiment is as follows: the state weight value and the state influence value are obtained respectively from the importance degree of the production process in which the abnormal state occurs to a chemical system and the influence degree of the production process abnormality to the chemical production process, so that the numerical evaluation of the abnormal state is realized through two angles when the abnormal state occurs to the production process, the subsequent alarm signal aiming at the abnormal state is convenient, and more accurate grading can be carried out in a numerical mode.

Referring to fig. 5, the step of obtaining the state weight value and the state influence value of the abnormal state includes:

501, determining the abnormal type of each abnormal state under the target working condition.

The operation of the chemical system is focused on four aspects of equipment, production, materials and operation, and the abnormal types can be chemical equipment abnormality, production process abnormality, material abnormality and process operation abnormality.

502, when the abnormal type is material abnormality, a weight configuration table of the materials of the chemical system is obtained, and the weight value of each material in the weight configuration table is configured in advance according to the importance degree of the materials.

When the abnormal type is material abnormality, the material abnormality is shown in the production process of the product, problems such as product proportion, quality or forming can be caused, a weight configuration table of materials of a chemical system is obtained, and the weight value of each material in the weight configuration table is configured in advance according to the importance degree of the material. In addition, the weight configuration table can be made according to the experience of chemical engineering experts.

503, obtaining the weight value of the state of the material anomaly from the reconfiguration table.

And obtaining the state weight value of the material abnormity from the reconfiguration table, and determining the state influence value of the material abnormity on the chemical production process.

And 504, determining a state influence value of the material abnormity on the chemical production process, wherein the larger the state influence value is, the more adverse the normal production of the chemical production process is.

For example, the raw materials and the catalyst in the chemical production process are the most important, and the mixing proportion of the raw materials is lower than that of the raw materials in the chemical production system, so if the material abnormality is the catalyst abnormality, the value of the state influence value is assumed to be 10, and if the material abnormality is the mixing proportion abnormality of the raw materials, the value of the state influence value is assumed to be 5, which indicates that the larger the state influence value is, the more adverse the normal production in the chemical production process is.

The implementation principle of the embodiment is as follows: the method has the advantages that the state weight value and the state influence value are obtained from the importance degree of the material in the abnormal state to a chemical system and the influence degree of the material abnormality to the chemical production process, so that the abnormal state is numerically evaluated through two angles when the material is in the abnormal state, the follow-up alarm signal aiming at the abnormal state is convenient, and more accurate grading can be performed in a numerical mode.

Referring to fig. 6, the step of acquiring the state weight value and the state influence value of the abnormal state includes:

the anomaly type of each anomaly state under the target operating condition is determined 601.

602, when the abnormality type is the process operation abnormality, obtaining a weight configuration table of the process operation of the chemical system, where a weight value of each process operation in the weight configuration table is pre-configured according to the operation importance degree.

When the abnormal type is the process operation abnormity, the process operation abnormity of workers in the production process of the product is indicated, the problems of product quality, personnel safety or equipment safety and the like can be caused, a weight configuration table of the process operation of the chemical system is obtained, and the weight value of each process operation in the weight configuration table is configured in advance according to the operation importance degree. For example, the process operation is to open a valve, which results in abnormal process operation if the operator does not fully open the valve, and which results in not rapid ventilation if the valve is a ventilation valve and is not fully opened; if the valve is a material injection valve, the valve is not opened completely, so that the product is molded and incomplete; the degree of importance of the process operation abnormality of the injection valve is greater than that of the scavenging valve, the weight value of the process operation abnormality of the injection valve may be set to 10, and the weight value of the process operation abnormality of the scavenging valve may be set to 1.

603, obtaining the state weight value of the abnormal process operation from the reconfiguration table.

And 604, determining the state influence value of the abnormal process operation on the chemical production process, wherein the larger the state influence value is, the more adverse is the normal production of the chemical production process.

Determining a state influence value of the process operation abnormity on the chemical production process, or taking the process operation abnormity of the injection valve and the ventilation valve as an example, wherein the process operation abnormity of the injection valve has a large influence on the normal production of the chemical production process, and the state influence value can be set to be 10; the abnormal process operation of the ventilation valve has small influence on the normal production in the chemical production process, and the state influence value can be set to be 1.

The implementation principle of the embodiment is as follows: the state weight value and the state influence value are obtained respectively according to the importance degree of the process operation in the abnormal state to a chemical system and the influence degree of the process operation abnormity to the chemical production process, so that the numerical evaluation on the abnormal state through two angles is realized when the abnormal state occurs in the process operation, the follow-up alarm signal aiming at the abnormal state is facilitated, and more accurate grading can be carried out in a numerical mode.

After ranking the alarm signals based on the embodiments shown in fig. 1-6, alarm signal correlation is performed by the following embodiment of fig. 7 in order to reduce the alarm signals.

Referring to fig. 7, after classifying the alarm signal according to the alarm value, a processing procedure of extracting the associated alarm signal includes the specific implementation steps of:

701, when a plurality of alarm signals correspond to a plurality of abnormal states under the same working condition, judging whether a correlation exists among the plurality of abnormal states, and if not, executing a step 702; if there are at least two, step 703 is performed.

Under the condition that a plurality of alarm signals are generated and all result from a plurality of abnormal states under the same working condition, for example, all the alarm signals are caused by the abnormality of the chemical equipment under the working condition of the production process, which indicates that the chemical equipment may have a situation that one abnormal state causes another abnormal state, in order to help a user to find out the substantial problem of the chemical equipment from a plurality of alarm signals, the alarm signals need to be simplified, that is, by judging whether the plurality of abnormal states have an association relationship, if not, step 702 is executed; if there is a correlation between at least two abnormal operating conditions, step 703 is executed.

And 702, displaying the graded alarm signal.

703, the abnormal state having the association is set as a first state, and the abnormal state having no association is set as a second state.

When the at least two abnormal working conditions have the association relationship, the at least two abnormal states with the association relationship are used as a first state, and the abnormal state without the association relationship is used as a second state.

And 704, determining the sequence of at least two abnormal states in the first state, and generating related alarm signals according to the alarm signals corresponding to the at least two abnormal states in the first state.

The sequence of the at least two abnormal states in the first working condition is determined, which may be the time sequence of the occurrence of the abnormality, and the alarm signals corresponding to the at least two abnormal states in the first state are generated into the associated alarm signals according to the sequence, and the associated alarm signals and the alarm signals corresponding to the second state are displayed.

705, the related alarm signal and the alarm signal corresponding to the second state are shown.

The implementation principle of the embodiment is as follows: when the alarm signals are multiple and correspond to abnormal states under the same working condition, determining the sequence of at least two abnormal states in the first working condition by judging whether the multiple abnormal states have an association relation or not, taking at least two abnormal states with the association relation as a first state and taking the abnormal states without the association relation as a second state, generating the associated alarm signals from the alarm signals corresponding to the at least two abnormal states of the first state according to the sequence, and displaying the associated alarm signals and the alarm signals corresponding to the second state; and if the association relation does not exist among all the abnormal states, displaying the graded alarm signal. Under the condition that a plurality of abnormal states occur under the same working condition, the corresponding alarm signals are generated into the associated alarm signals through the sequence among the plurality of abnormal states with the associated relation, so that the simplification of a plurality of alarm signals is realized.

In the embodiment shown in fig. 7, the extraction process of the correlated alarm signals is aimed at, some alarm signals may be invalid, and some alarm signals can be early-warned, optionally, in some preferred embodiments of the present application, after ranking the alarm signals according to the alarm values, the method further comprises:

carrying out maintenance analysis on abnormal states corresponding to the classified alarm signals;

and when the abnormal state is determined to be abnormal by maintenance analysis, predicting an abnormal linkage state caused by the abnormal state according to the chemical engineering expert experience library, and generating a potential alarm signal corresponding to the abnormal linkage state.

The implementation principle of the embodiment is as follows: the abnormal state judgment error may be caused by the problems of failure and the like of the collector of the state data, so the abnormal state corresponding to the classified alarm signal needs to be maintained and analyzed, the maintenance and analysis can be realized by field observation of maintenance personnel, or state data can be remotely checked and analyzed by experts, when the abnormal state is determined to be normal by the maintenance and analysis, the corresponding alarm signal is determined to be invalid alarm, and the alarm signal needs to be deleted in time; when the maintenance analysis determines that the abnormal state is abnormal, the abnormal linkage state caused by the abnormal state is predicted according to the chemical engineering expert experience library, and a potential alarm signal corresponding to the abnormal linkage state is generated. The detection of invalid alarm can reduce wrong alarm signals and improve the alarm accuracy; and the prediction of potential alarm signals can improve the early warning capability of the whole chemical system.

The embodiment of the application also discloses a multi-working-condition alarm management device for the chemical system, which comprises a memory, a processor and a program which is stored on the memory and can run on the processor, wherein the program can be loaded and executed by the processor to realize all functions of the multi-working-condition alarm management method for the chemical system in the attached figures 1-7.

The modular structure of the alarm management device for multiple operating modes of a chemical system is explained with reference to fig. 8.

Referring to fig. 8, the alarm management device for multiple working conditions of a chemical system comprises:

the device comprises an acquisition module 801, a judgment module 802, an acquisition module 803, a calculation module 804 and an alarm signal grading module 805;

the acquisition module 801 is used for acquiring state data in multiple working conditions of the chemical system;

the determining module 802 is configured to determine whether an abnormal state exists under each working condition according to a preset alarm rule and state data of each working condition;

an obtaining module 803, configured to obtain a state weight value and a state influence value of each abnormal state under a target working condition when at least one abnormal state exists under the target working condition;

the calculating module 804 is configured to calculate an alarm value of the alarm signal corresponding to each abnormal state according to the state weight value and the state influence value;

and an alarm signal grading module 805 for grading the alarm signal according to the alarm value.

The implementation principle of the embodiment is as follows: through the state data in the multiple working conditions acquired by the acquisition module 801, the judgment module 802 can perform abnormal judgment on the states of the multiple working conditions, the working condition with the abnormal state is a target working condition, the acquisition module 803 acquires a state weight value and a state influence value of the abnormal state under the target working condition, the calculation module 804 calculates an alarm value of an alarm signal corresponding to each abnormal state according to the state weight value and the state influence value, and the alarm signal grading module 805 grades the alarm signal according to the alarm value. The alarm signal is calculated according to the state weight value and the state influence value of the abnormal state under each working condition to obtain the alarm value, and then the alarm value is graded, so that the alarm signal is graded and displayed under different working conditions, and the problems of alarm signal flooding and poor reliability in chemical systems with numerous chemical equipment can be effectively solved.

The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the present application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.

Claims

1. A multi-working-condition alarm management method for a chemical system is characterized by comprising the following steps:

collecting state data in multiple working conditions of a chemical system;

classifying the alarm signal according to the alarm value;

the multiple working conditions comprise a start-up node working condition, a production process working condition, a grade switching working condition and a stop-up node working condition,

the method for judging whether an abnormal state exists under each working condition according to the preset alarm rule of each working condition and the state data comprises the following steps:

determining a start-up state threshold range according to a preset alarm rule of the start-up node working condition, and judging whether state data in the start-up node working condition meets the start-up state threshold range;

2. The chemical system multi-condition alarm management method according to claim 1, wherein a target condition is any one of the start-up node condition, the production process condition, the grade switching condition and the shutdown node condition,

the acquiring of the state weight value and the state influence value of each abnormal state under the target working condition comprises:

determining the exception type of each exception state under the target working condition, wherein the exception types comprise chemical equipment exception, production process exception, material exception and process operation exception;

3. The chemical system multi-condition alarm management method according to claim 2, wherein the determining the state weight value and the state influence value of each abnormal state according to the abnormal type comprises:

4. The chemical system multi-condition alarm management method according to claim 2, wherein the determining the state weight value and the state influence value of each abnormal state according to the abnormal type comprises:

5. The chemical system multi-condition alarm management method according to claim 2, wherein the determining the state weight value and the state influence value of each abnormal state according to the abnormal type comprises:

obtaining a state weight value of the material abnormity from the weight configuration table;

6. The chemical system multi-condition alarm management method according to claim 2, wherein the determining the state weight value and the state influence value of each abnormal state according to the abnormal type comprises:

7. The chemical industry system multi-condition alarm management method according to any one of claims 2 to 6, wherein after the alarm signal is classified according to the alarm value, the method further comprises:

when no incidence relation exists, displaying the graded alarm signal;

8. The chemical industry system multi-condition alarm management method according to any one of claims 2 to 6, wherein after the alarm signal is classified according to the alarm value, the method further comprises:

and when the abnormal state is determined to be abnormal by maintenance analysis, predicting an abnormal linkage state caused by the abnormal state according to a chemical engineering expert experience base, and generating a potential alarm signal corresponding to the abnormal linkage state.

9. The utility model provides an alarm management device of chemical industry system multiplex condition which characterized in that includes:

the chemical engineering system multi-condition alarm management system comprises a memory, a processor and a program which is stored on the memory and can run on the processor, wherein the program can be loaded and executed by the processor to realize the chemical engineering system multi-condition alarm management method according to any one of the claims 1-8.