CN117391444B - Dust explosion-related risk early warning system based on whole process monitoring of industrial equipment operation - Google Patents
Dust explosion-related risk early warning system based on whole process monitoring of industrial equipment operation Download PDFInfo
- Publication number
- CN117391444B CN117391444B CN202311358154.3A CN202311358154A CN117391444B CN 117391444 B CN117391444 B CN 117391444B CN 202311358154 A CN202311358154 A CN 202311358154A CN 117391444 B CN117391444 B CN 117391444B
- Authority
- CN
- China
- Prior art keywords
- explosion
- early warning
- risk
- module
- dust
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004880 explosion Methods 0.000 title claims abstract description 251
- 239000000428 dust Substances 0.000 title claims abstract description 112
- 238000012544 monitoring process Methods 0.000 title claims abstract description 88
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000008569 process Effects 0.000 title claims abstract description 21
- 238000004519 manufacturing process Methods 0.000 claims abstract description 27
- 238000012806 monitoring device Methods 0.000 claims abstract description 18
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 238000013507 mapping Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 16
- 230000002159 abnormal effect Effects 0.000 claims description 14
- 230000003044 adaptive effect Effects 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 230000010354 integration Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000003993 interaction Effects 0.000 claims description 2
- 238000012502 risk assessment Methods 0.000 abstract description 9
- 230000000694 effects Effects 0.000 abstract description 6
- 238000005422 blasting Methods 0.000 description 5
- 239000007789 gas Substances 0.000 description 5
- 239000000843 powder Substances 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000005474 detonation Methods 0.000 description 2
- 239000002360 explosive Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 239000002023 wood Substances 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 239000004566 building material Substances 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 239000002817 coal dust Substances 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 238000000227 grinding Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 238000003801 milling Methods 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000012954 risk control Methods 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to the technical field of risk early warning, and provides a dust explosion-related risk early warning system based on monitoring of the whole operation process of industrial equipment. The method comprises the following steps: basic information acquisition of production derived dust is carried out on an industrial workshop, and a dust explosion related database is built; defining a multi-stage operation area; configuring explosion-related monitoring points based on industrial equipment; configuring multi-stage monitoring intensity based on production working conditions, and establishing the association between the multi-stage monitoring intensity and a distributed sensing monitoring device; determining working condition operation data; performing wind control and explosion-related warning analysis on the working condition operation data by combining a risk early warning model, and outputting target early warning information, wherein the risk early warning model is trained by taking the explosion-related monitoring points as references; and carrying out self-adaptive explosion-related risk warning on the industrial equipment. The application solves the technical problems that the dust explosion risk assessment accuracy is lower and the management efficiency cannot keep pace in the prior art, and achieves the technical effects of improving the dust explosion risk assessment accuracy and improving the management efficiency.
Description
Technical Field
The application relates to the technical field of risk early warning, in particular to a dust explosion-related risk early warning system based on monitoring of the whole operation process of industrial equipment.
Background
Collecting operation parameters and management data of dust removing equipment of each enterprise, and establishing a risk assessment model, wherein the model considers two factors of inherent risks and dynamic risks, wherein the inherent risks refer to inherent risk indexes of equipment (for example, the risks of coal dust treatment equipment are much higher than those of wood dust powder treatment equipment), the dynamic risks comprise the risks represented by the operation parameters of the equipment, and the management (for example, the longer the alarm elimination time after alarm is, the higher the risks); and detecting and early warning the dust explosion risk in the enterprise safety production process by evaluating the operation parameters of the enterprise dust removing equipment.
In summary, in the prior art, there is a problem that the accuracy of dust explosion risk assessment is low and the management efficiency cannot keep pace.
Disclosure of Invention
Based on the above, it is necessary to provide a dust explosion risk early warning system based on monitoring the whole process of operation of industrial equipment, which can improve the accuracy of dust explosion risk assessment and the management efficiency.
In a first aspect, an embodiment of the present application provides a dust explosion risk early warning method based on monitoring an overall process of operation of an industrial device, where the method includes: basic information acquisition of production derived dust is carried out on an industrial workshop, and a dust explosion related database is built; defining a multi-stage operation area based on the industrial workshop, wherein the multi-stage operation area has differential dust explosion standards; establishing mapping association between the explosion-related dust database and the multi-stage operation area, and configuring explosion-related monitoring points based on industrial equipment; configuring multi-stage monitoring intensity based on production working conditions, and establishing the association between the multi-stage monitoring intensity and a distributed sensing monitoring device; along with the starting of the industrial equipment, determining a target sensing monitoring device based on the multi-stage monitoring intensity, executing same-frequency operation monitoring, and determining working condition operation data; performing wind control and explosion-related warning analysis on the working condition operation data by combining a risk early warning model, and outputting target early warning information, wherein the target early warning information is marked with explosion-related equipment data, and the risk early warning model is trained by taking the explosion-related monitoring points as references; and based on the target early warning information, carrying out self-adaptive explosion-related risk warning on the industrial equipment.
In a second aspect, the application provides a dust explosion risk early warning system based on monitoring of the whole process of operating industrial equipment, the system comprising: the explosion-related dust database building module is used for collecting basic information of production derived dust of an industrial workshop and building an explosion-related dust database; the multi-stage operation area demarcation module is used for demarcating a multi-stage operation area based on the industrial workshop, wherein the multi-stage operation area has a differential dust explosion standard; the mapping association establishing module is used for establishing mapping association between the explosion-related dust database and the multi-stage operation area and configuring explosion-related monitoring points based on industrial equipment; the multi-stage monitoring intensity configuration module is used for configuring multi-stage monitoring intensity based on production working conditions and establishing the association between the multi-stage monitoring intensity and the distributed sensing monitoring device; the working condition operation data determining module is used for determining a target sensing monitoring device based on the multi-stage monitoring intensity along with the starting of the industrial equipment, executing the same-frequency operation monitoring and determining working condition operation data; the target early warning information output module is used for carrying out wind control and explosion-related warning analysis on the working condition operation data by combining a risk early warning model, outputting target early warning information, wherein the target early warning information is marked with explosion-related equipment data, and the risk early warning model is trained by taking the explosion-related monitoring points as references; the self-adaptive explosion-related risk warning carrying out module is used for carrying out self-adaptive explosion-related risk warning on the industrial equipment based on the target early warning information.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
firstly, basic information acquisition of production derived dust is carried out on an industrial workshop, and a dust database involving explosion is built; secondly, defining a multi-stage operation area based on the industrial workshop, wherein the multi-stage operation area has a differential dust explosion standard; establishing mapping association between the explosion-related dust database and the multi-stage operation area, and configuring explosion-related monitoring points based on industrial equipment; next, configuring multi-stage monitoring intensity based on production working conditions, and establishing association between the multi-stage monitoring intensity and a distributed sensing monitoring device; then, along with the starting of the industrial equipment, determining a target sensing monitoring device based on the multi-stage monitoring intensity, executing same-frequency operation monitoring, and determining working condition operation data; performing wind control and explosion-related warning analysis on the working condition operation data by combining a risk early warning model, and outputting target early warning information, wherein the target early warning information is marked with explosion-related equipment data, and the risk early warning model is trained by taking the explosion-related monitoring points as references; and finally, based on the target early warning information, carrying out self-adaptive explosion-related risk warning on the industrial equipment. The application solves the technical problems that the dust explosion risk assessment accuracy is lower and the management efficiency cannot keep pace in the prior art, and achieves the technical effects of improving the dust explosion risk assessment accuracy and improving the management efficiency.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of a dust explosion risk early warning method based on monitoring of the whole process of operation of industrial equipment in one embodiment;
FIG. 2 is a schematic flow chart of generating target early warning information based on a dust explosion risk early warning method of monitoring an overall process of operating industrial equipment in one embodiment;
Fig. 3 is a block diagram of a dust explosion risk early warning system based on monitoring of an overall process of operating an industrial device in one embodiment.
Reference numerals illustrate: the system comprises a detonation powder dust database building module 11, a multistage operation area demarcation module 12, a mapping association building module 13, a multistage monitoring intensity configuration module 14, a working condition operation data determining module 15, a target early warning information output module 16 and a self-adaptive detonation risk warning proceeding module 17.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
As shown in fig. 1, the application provides a dust explosion risk early warning method based on monitoring of the whole operation process of industrial equipment, which comprises the following steps:
basic information acquisition of production derived dust is carried out on an industrial workshop, and a dust explosion related database is built;
Industrial equipment refers to industrial production equipment and various machine tools, such as lathes, milling machines, grinding machines, planing machines and other machines, and also comprises equipment for dust and smoke generated by industries such as metallurgy, electric power, building materials, chemical industry, forest products, foods, medicines and the like; the method is characterized in that when dust explodes, dust cloud formed by mixing combustible dust with air in a limited space is used, under the action of an ignition source, the formed dust-air mixture burns rapidly and causes chemical reaction with temperature and pressure rising rapidly, the dust explosion risk is the probability that dust in industrial equipment possibly causes dust explosion, various data information of the industrial equipment is obtained through monitoring the operation process and management data of the industrial equipment, and the probability of dust explosion in an industrial workshop is judged according to the data information, so that the safety of the industrial workshop is guaranteed.
In an industrial workshop, dust is a common pollutant, which not only affects the production environment, but also may cause harm to the health of workers, and is easy to explode in an open flame state, so that the safety of enterprises and staff is damaged, the production of derived dust refers to dust generated by industrial equipment in the industrial workshop during operation, and basic information is the type of the derived dust, the generation amount during operation and the like; and carrying out integration processing according to the basic information of the derived dust, and constructing a blasting-related dust database, wherein the blasting-related dust database comprises blasting-related dust baseline information, exogenous blasting-related influence factors and blasting-related risk points. And supporting the subsequent configuration of the explosion-related monitoring points by constructing an explosion-related dust database.
Determining baseline information for the production-derived dust, the baseline information including a lower limit explosion concentration and a fire point temperature;
collecting external environment information of the industrial workshop, and extracting exogenous explosion-related influence factors;
determining explosion-related risk points of industrial equipment, wherein the explosion-related risk points comprise inherent risk points and dynamic risk points;
Establishing a correlation map of the baseline information, the exogenous explosion-related influence factors and the explosion-related risk points, and integrating to generate the explosion-related dust database.
The baseline information refers to an index for measurement and judgment, namely the lower limit explosion concentration and the ignition point temperature, combustible substances (combustible gas, steam and dust) and air (or oxygen) are required to be uniformly mixed within a certain concentration range to form premixed gas, explosion occurs when a fire source is met, the concentration range is called an explosion limit or an explosion concentration limit, the explosion concentration limit is usually expressed by the volume percentage of the combustible gas, steam or dust in the air, and the lowest explosion concentration is called the explosion lower limit in the explosion concentration range; there is also a highest explosive concentration called the upper explosive limit. Only between these two concentrations is there a risk of explosion. If the concentration of the combustible gas, vapor or dust in the air is lower than the explosion lower limit, the combustible gas, vapor or dust can not explode or burn when encountering open fire; above the explosion limit, when exposed fire is encountered, the air can be burnt when the fire is not exploded, and the fire temperature is the fire temperature of the industrial workshop; the external environment information of the industrial workshop refers to the environment outside the industrial workshop, such as wind power, temperature and the like, and the external explosion-related influence factors refer to factors which change the factors in the external environment of the industrial workshop and can influence the explosion-related risk of the industrial equipment; determining explosion-related risk points of industrial equipment, wherein the explosion-related risk points comprise inherent risk points and dynamic risk points, the inherent risk refers to an inherent risk index of the equipment (for example, the risk of the pulverized coal treatment equipment is much higher than that of the wood chip powder treatment equipment), and the dynamic risk comprises the risk of the running parameters of the equipment and management (for example, the longer the alarm-eliminating time after alarm is, the higher the risk); establishing a correlation map of the baseline information, the exogenous explosion-related influence factors and the explosion-related risk points, wherein for example, the external explosion-related influence factors can influence the explosion-related risk points of industrial equipment, when the explosion-related risk points exceed the baseline information, the explosion risk is generated, a mapping relation is found, and the mapping relation is integrated to generate the explosion-related dust database. And contributing to the subsequent judgment of the explosion risk by acquiring the explosion dust database.
Defining a multi-stage operation area based on the industrial workshop, wherein the multi-stage operation area has differential dust explosion standards;
the working area is a working area for production and processing, the multi-stage working area is a working area divided according to different dust explosion-related standards, the multi-stage working area based on the industrial workshop is defined, the multi-stage working area is provided with different dust explosion-related standards, and a bedding is made for subsequent configuration explosion-related monitoring points by dividing the multi-stage working area.
Taking the type of the explosion-related source as a first division standard, taking the explosion-related level as a second division standard, and taking the mutual influence of the explosion-related level as a first association standard;
and carrying out hierarchical local division and association on the industrial workshop based on the first division standard, the second division standard and the first association standard to generate the multi-level operation area, wherein the explosion-related level is determined based on the explosion-related degree, the explosion-related frequency and the sweep range.
The type of the explosion-related source refers to the type of factors affecting the explosion-related risk, and the type of the explosion-related source is used as a first division standard; the explosion-related level is an explosion-related risk level determined according to the explosion-related degree, the explosion-related frequency and the sweep range of a worker, and the higher the level is, the greater the dust explosion-related risk is; the inter-influence of the dust is the inter-influence of the dust; and carrying out hierarchical local division and association on the industrial workshop based on the first division standard, the second division standard and the first association standard to generate the multi-level operation area. By generating the multi-stage operation area, a bedding is made for the follow-up accurate monitoring of the dust explosion risk early warning of the industrial equipment.
Establishing mapping association between the explosion-related dust database and the multi-stage operation area, and configuring explosion-related monitoring points based on industrial equipment;
Mapping association refers to processing relationships among a plurality of entities, mapping the association relationships into a database, wherein the association relationships have one or more references in an object model, namely, the multistage operation area corresponds to a plurality of data conditions in the explosion-related dust database, and configuring explosion-related monitoring points of the industrial equipment according to the mapping association.
Configuring multi-stage monitoring intensity based on production working conditions, and establishing the association between the multi-stage monitoring intensity and a distributed sensing monitoring device;
The multi-stage monitoring strength is configured according to the production working condition of the industrial equipment, namely the service condition of the industrial equipment, for example, if the service condition of the industrial equipment is more, the monitoring strength of the production workshop is larger; the distributed sensor means that in the distributed sensor network, each sensor can independently process own information to provide a large amount of data, can further obtain classification characteristics of targets, avoid serious performance degradation caused by electronic countermeasure to a single sensor system, and make a mat for subsequent execution of same-frequency operation monitoring and determination of working condition operation data by analyzing the association of the distributed sensing monitoring device and the multi-level monitoring intensity.
Along with the starting of the industrial equipment, determining a target sensing monitoring device based on the multi-stage monitoring intensity, executing same-frequency operation monitoring, and determining working condition operation data;
Because the installation positions of the target sensing monitoring devices based on the multi-stage monitoring intensity are different, starting the industrial equipment, synchronously monitoring the positions of the industrial equipment according to the target sensing detection devices, wherein working conditions refer to working states of the equipment under the condition of direct relation with the actions of the equipment, analyzing the positions of the industrial equipment according to the starting of the industrial equipment, determining and monitoring the target sensing monitoring devices of the industrial equipment, synchronously monitoring the running industrial equipment, and determining the running data of the industrial equipment, wherein the running data comprise data such as running states, running parameters, production data, alarm information and the like. And analyzing the working condition operation data by determining the working condition operation data, so as to support the subsequent acquisition of target early warning information.
Performing wind control and explosion-related warning analysis on the working condition operation data by combining a risk early warning model, and outputting target early warning information, wherein the target early warning information is marked with explosion-related equipment data, and the risk early warning model is trained by taking the explosion-related monitoring points as references;
Constructing a risk early-warning model, wherein input data of the risk early-warning model are the working condition operation data, output data are target early-warning information, the target early-warning information refers to whether the industrial equipment related to the working condition operation data possibly causes dust explosion, the target early-warning information is marked with explosion-related equipment data, risk control is carried out on the working condition operation data and whether the industrial equipment has explosion-related risks are analyzed and judged through constructing the risk early-warning model, the judgment is output as target early-warning information, and self-adaptive explosion-related risk warning of the industrial equipment is carried out according to the target early-warning information; and training the risk early-warning model by taking the explosion-related monitoring points as a reference, when the prediction accuracy of the risk early-warning model is improved to a value set by a worker, obtaining the risk early-warning model, paving for producing the target early-warning information by constructing the risk early-warning model, and improving the accuracy of output data of the model by training the risk early-warning model.
As shown in fig. 2, the working condition operation data is transmitted to the risk early warning model, and an explosion-related time node is predicted and determined, wherein the explosion-related time node is marked with a Kst value;
Measuring the interval time limit of the explosion-related time node and the current time point;
and if the interval time limit meets a time limit threshold or the Kst value meets a risk threshold, generating the target early warning information.
Predicting and determining an explosion-related time node refers to transmitting the working condition operation data to a risk early warning model, and predicting the explosion-related time node according to the working condition operation data and time, wherein a Kst value is measured to be the relative severity of dust once burned and exploded, the shape, the size and the humidity of dust particles are only part of determinants of the Kst value, and the interval time limit of the explosion-related time node and the current time point is measured, namely after the explosion-related time node is determined, the interval comprising the current time point and the explosion-related time node is obtained; any dust has a Kst value above 0 which is potentially flammable and can cause an explosion, determining whether the interval time limit meets a time limit threshold, or whether the Kst value meets a risk threshold, wherein the time limit threshold and the risk threshold are determined by a worker, and if any of the interval time limit and the Kst value meets the threshold, proving that the industrial equipment is at risk of sending dust explosion, generating the target early warning information. And by acquiring the target early warning information, support is provided for subsequent warning and protection.
And based on the target early warning information, carrying out self-adaptive explosion-related risk warning on the industrial equipment.
The self-adaption is a process of automatically adjusting a processing method, a processing sequence, processing parameters, boundary conditions or constraint conditions according to the data characteristics of the processed data in the processing and analyzing processes so as to adapt to the statistical distribution characteristics and the structural characteristics of the processed data to obtain the optimal processing effect, and the self-adaption explosion-related risk warning is a process of self-adjusting and controlling according to the target early warning information to obtain the optimal explosion-related risk warning result. The aim of acquiring the most accurate explosion risk of the industrial workshop is achieved by self-adaptive explosion risk warning of the industrial equipment, and support is provided for subsequent configuration of emergency treatment instructions.
Configuring a plurality of early warning modes, wherein each early warning mode has a plurality of early warning levels;
Associating the plurality of early warning modes with the wind control type to generate an explosion-related early warning module;
And transmitting the target early warning information to the explosion-related early warning module, matching the visual early warning state and warning.
The early warning means that before disasters or disasters and other dangers needing to be raised, emergency signals are sent to related departments according to the past summarized rules or observed possibility precursors, dangerous situations are reported so as to avoid the occurrence of the dangers under the conditions of unknowing or insufficient preparation, and therefore the loss caused by the dangers is reduced to the greatest extent; the wind control means controlling risks through various methods and measures, reducing the possibility of loss, associating the various early warning modes with wind control types and generating an explosion-related early warning module; and transmitting the target early warning information to the explosion-related early warning module, and matching the target early warning information with an early warning mode, an early warning level, a wind control type and the like to carry out warning. And transmitting the target early warning information to the explosion-related early warning module, matching the visual early warning state and warning, and making a cushion for subsequent emergency wind control treatment.
Configuring an emergency plan library adapted to the industrial plant;
determining the emergency degree based on the target early warning information, and generating an emergency treatment instruction;
along with the receiving of the emergency treatment instruction, traversing the emergency plan library to match, and determining an explosion-related emergency plan;
And carrying out emergency wind control treatment based on the explosion-related emergency scheme.
The method comprises the steps of configuring an emergency plan library which is adapted to an industrial workshop, wherein the emergency plan library comprises all countermeasures which are likely to generate dust explosion risks, judging the emergency degree based on target early warning information, generating an emergency treatment instruction, enabling the emergency degree to be set by a worker, traversing the emergency plan library to match with the emergency treatment instruction, determining an explosion-related emergency scheme, and carrying out emergency wind control treatment on the industrial workshop according to the explosion-related emergency scheme. By establishing an emergency plan library and matching the explosion-related emergency plan of the emergency instruction, the industrial workshop is processed, and the technical effect of rapidly and safely solving the dust explosion-related risk of the industrial workshop is achieved.
Synchronously transmitting the target early warning information to a data terminal along with emergency wind control processing, and performing explosion-related traceability analysis and abnormal risk source;
performing conventional wind control operation aiming at the abnormal risk source;
and updating the emergency plan library and the explosion-related monitoring points based on the abnormal risk source.
Because the emergency wind control treatment cannot immediately solve the dust explosion problem of the industrial workshop, synchronously transmitting the target early warning information to a data terminal for carrying out explosion tracing analysis, wherein the explosion tracing analysis refers to searching for the reason of the dust explosion problem to obtain an abnormal risk source, wherein the abnormal risk source refers to a risk source which is not recorded, and carrying out conventional wind control operation on the abnormal risk source; according to the abnormal risk source, the emergency plan library and the explosion-related monitoring points are updated, the abnormal risk source is obtained through monitoring, the emergency plan library and the explosion-related monitoring points are updated, the dust explosion-related problem of the industrial workshop is perfected, the technical problems that in the prior art, the dust explosion-related risk assessment accuracy is low, and the management efficiency cannot keep up are solved, and the technical effects of improving the dust explosion-related risk assessment accuracy and the management efficiency are achieved.
As shown in fig. 3, the embodiment of the application further provides a dust explosion risk early warning system based on monitoring the whole process of operating industrial equipment, wherein the system comprises:
the explosion-related dust database building module 11 is used for collecting basic information of production derived dust of an industrial workshop and building an explosion-related dust database;
A multi-stage operation area demarcation module 12, wherein the multi-stage operation area demarcation module 12 is used for demarcating a multi-stage operation area based on the industrial workshop, and the multi-stage operation area has differential dust explosion standards;
The mapping association establishing module 13 is used for establishing mapping association between the explosion-related dust database and the multi-stage working area, and configuring explosion-related monitoring points based on industrial equipment;
the multi-stage monitoring intensity configuration module 14 is used for configuring multi-stage monitoring intensity based on production working conditions, and establishing the association between the multi-stage monitoring intensity and the distributed sensing monitoring device;
the working condition operation data determining module 15 is used for determining a target sensing monitoring device based on the multi-stage monitoring intensity along with the starting of the industrial equipment, executing the same-frequency operation monitoring and determining working condition operation data;
The target early warning information output module 16 is used for carrying out wind control and explosion-related warning analysis on the working condition operation data by combining a risk early warning model, outputting target early warning information, wherein the target early warning information is marked with explosion-related equipment data, and the risk early warning model is trained by taking the explosion-related monitoring points as references;
the adaptive explosion-related risk warning performing module 17 is configured to perform adaptive explosion-related risk warning on the industrial equipment based on the target early warning information by using the adaptive explosion-related risk warning performing module 17.
Further, the embodiment of the application further comprises:
A baseline information determination module for determining baseline information for the production-derived dust, the baseline information including a lower limit explosion concentration and a fire point temperature;
The system comprises an exogenous explosion-related influence factor extraction module, a control module and a control module, wherein the exogenous explosion-related influence factor extraction module is used for acquiring the external environment information of the industrial workshop and extracting exogenous explosion-related influence factors;
the explosion-related risk point determining module is used for determining explosion-related risk points of industrial equipment, wherein the explosion-related risk points comprise inherent risk points and dynamic risk points;
The explosion-related dust database integration module is used for establishing correlation mapping of the baseline information, the exogenous explosion-related influence factors and the explosion-related risk points, and integrating and generating the explosion-related dust database.
Further, the embodiment of the application further comprises:
The association standard setting module is used for taking the type of the explosion-related source as a first division standard, taking the explosion-related level as a second division standard and taking the interaction of the explosion-related source as a first association standard;
The multi-stage operation area generation module is used for carrying out hierarchical local division and association on the industrial workshop based on the first division standard, the second division standard and the first association standard to generate the multi-stage operation area, and the explosion-related level is determined based on the explosion-related degree, the explosion-related frequency and the wave-and-range.
Further, the embodiment of the application further comprises:
the explosion-related time node prediction module is used for transmitting the working condition operation data to the risk early warning model to predict and determine an explosion-related time node, wherein the explosion-related time node is marked with a Kst value;
The interval time limit metering module is used for metering the interval time limit of the explosion-related time node and the current time point;
the target early warning information generation module is used for generating the target early warning information if the interval time limit meets a time limit threshold or the Kst value meets a risk threshold.
Further, the embodiment of the application further comprises:
the system comprises an early warning mode configuration module, a control module and a control module, wherein the early warning mode configuration module is used for configuring a plurality of early warning modes, and each early warning mode has a plurality of early warning grades;
The explosion-related early warning module is used for associating the plurality of early warning modes with the wind control type to generate the explosion-related early warning module;
the target early warning information transmission module is used for transmitting the target early warning information to the explosion-related early warning module, matching the visual early warning state and warning.
Further, the embodiment of the application further comprises:
the emergency plan library configuration module is used for configuring an emergency plan library adapted to the industrial workshop;
The emergency treatment instruction generation module is used for judging the emergency degree based on the target early warning information and generating an emergency treatment instruction;
The explosion-related emergency scheme determining module is used for traversing the emergency plan library for matching along with the receiving of the emergency processing instruction to determine an explosion-related emergency scheme;
the emergency wind control processing module is used for carrying out emergency wind control processing based on the explosion-related emergency scheme.
Further, the embodiment of the application further comprises:
the explosion-related tracing analysis proceeding module is used for synchronously transmitting the target early warning information to a data terminal along with emergency wind control processing to conduct explosion-related tracing analysis and abnormal risk sources;
The conventional wind control operation execution module is used for executing conventional wind control operation aiming at the abnormal risk source;
And the monitoring point updating module is used for updating the emergency plan library and the explosion-related monitoring points based on the abnormal risk source.
For specific embodiments of the dust explosion risk early warning system based on the industrial equipment operation whole process monitoring, reference may be made to the above embodiments of the dust explosion risk early warning method based on the industrial equipment operation whole process monitoring, which are not described herein. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (7)
1. Dust explosion risk early warning system based on monitoring of industrial equipment operation overall process, characterized in that, the system includes:
The explosion-related dust database building module is used for collecting basic information of production derived dust of an industrial workshop and building an explosion-related dust database;
the multi-stage operation area demarcation module is used for demarcating a multi-stage operation area based on the industrial workshop, wherein the multi-stage operation area has a differential dust explosion standard;
The mapping association establishing module is used for establishing mapping association between the explosion-related dust database and the multi-stage operation area and configuring explosion-related monitoring points based on industrial equipment;
the multi-stage monitoring intensity configuration module is used for configuring multi-stage monitoring intensity based on production working conditions and establishing the association between the multi-stage monitoring intensity and the distributed sensing monitoring device;
the working condition operation data determining module is used for determining a target sensing monitoring device based on the multi-stage monitoring intensity along with the starting of the industrial equipment, executing the same-frequency operation monitoring and determining working condition operation data;
the target early warning information output module is used for carrying out wind control and explosion-related warning analysis on the working condition operation data by combining a risk early warning model, outputting target early warning information, wherein the target early warning information is marked with explosion-related equipment data, and the risk early warning model is trained by taking the explosion-related monitoring points as references;
the self-adaptive explosion-related risk warning proceeding module is used for proceeding self-adaptive explosion-related risk warning of the industrial equipment based on the target early warning information;
Wherein the demarcation is based on a multi-level work area of the industrial plant, the system comprising:
The association standard setting module is used for taking the type of the explosion-related source as a first division standard, taking the explosion-related level as a second division standard and taking the interaction of the explosion-related source as a first association standard;
The multi-stage operation area generation module is used for carrying out hierarchical local division and association on the industrial workshop based on the first division standard, the second division standard and the first association standard to generate the multi-stage operation area, and the explosion-related level is determined based on the explosion-related degree, the explosion-related frequency and the wave-and-range.
2. The system of claim 1, wherein the basic information collection of the production derived dust in the industrial plant builds a dust database, the system comprising:
A baseline information determination module for determining baseline information for the production-derived dust, the baseline information including a lower limit explosion concentration and a fire point temperature;
The system comprises an exogenous explosion-related influence factor extraction module, a control module and a control module, wherein the exogenous explosion-related influence factor extraction module is used for acquiring the external environment information of the industrial workshop and extracting exogenous explosion-related influence factors;
the explosion-related risk point determining module is used for determining explosion-related risk points of industrial equipment, wherein the explosion-related risk points comprise inherent risk points and dynamic risk points;
The explosion-related dust database integration module is used for establishing correlation mapping of the baseline information, the exogenous explosion-related influence factors and the explosion-related risk points, and integrating and generating the explosion-related dust database.
3. The system of claim 1, wherein the combined risk early warning model performs a wind control and explosion-related warning analysis on the operating condition operation data to output target early warning information, the system comprising:
the explosion-related time node prediction module is used for transmitting the working condition operation data to the risk early warning model to predict and determine an explosion-related time node, wherein the explosion-related time node is marked with a Kst value;
The interval time limit metering module is used for metering the interval time limit of the explosion-related time node and the current time point;
the target early warning information generation module is used for generating the target early warning information if the interval time limit meets a time limit threshold or the Kst value meets a risk threshold.
4. The system of claim 1, wherein the adaptive explosion-related risk warning of the industrial device is based on the target pre-warning information, the system comprising:
the system comprises an early warning mode configuration module, a control module and a control module, wherein the early warning mode configuration module is used for configuring a plurality of early warning modes, and each early warning mode has a plurality of early warning grades;
The explosion-related early warning module is used for associating the plurality of early warning modes with the wind control type to generate the explosion-related early warning module;
the target early warning information transmission module is used for transmitting the target early warning information to the explosion-related early warning module, matching the visual early warning state and warning.
5. The system of claim 1, wherein the system comprises:
the emergency plan library configuration module is used for configuring an emergency plan library adapted to the industrial workshop;
The emergency treatment instruction generation module is used for judging the emergency degree based on the target early warning information and generating an emergency treatment instruction;
The explosion-related emergency scheme determining module is used for traversing the emergency plan library for matching along with the receiving of the emergency processing instruction to determine an explosion-related emergency scheme;
the emergency wind control processing module is used for carrying out emergency wind control processing based on the explosion-related emergency scheme.
6. The system of claim 5, wherein the system comprises:
the explosion-related tracing analysis proceeding module is used for synchronously transmitting the target early warning information to a data terminal along with emergency wind control processing to conduct explosion-related tracing analysis and abnormal risk sources;
The conventional wind control operation execution module is used for executing conventional wind control operation aiming at the abnormal risk source;
And the monitoring point updating module is used for updating the emergency plan library and the explosion-related monitoring points based on the abnormal risk source.
7. Dust explosion risk early warning method based on monitoring of whole operation process of industrial equipment, which is characterized by being applied to the system of any one of claims 1 to 6, and comprises the following steps:
basic information acquisition of production derived dust is carried out on an industrial workshop, and a dust explosion related database is built;
defining a multi-stage operation area based on the industrial workshop, wherein the multi-stage operation area has differential dust explosion standards;
establishing mapping association between the explosion-related dust database and the multi-stage operation area, and configuring explosion-related monitoring points based on industrial equipment;
configuring multi-stage monitoring intensity based on production working conditions, and establishing the association between the multi-stage monitoring intensity and a distributed sensing monitoring device;
along with the starting of the industrial equipment, determining a target sensing monitoring device based on the multi-stage monitoring intensity, executing same-frequency operation monitoring, and determining working condition operation data;
Performing wind control and explosion-related warning analysis on the working condition operation data by combining a risk early warning model, and outputting target early warning information, wherein the target early warning information is marked with explosion-related equipment data, and the risk early warning model is trained by taking the explosion-related monitoring points as references;
And based on the target early warning information, carrying out self-adaptive explosion-related risk warning on the industrial equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311358154.3A CN117391444B (en) | 2023-10-19 | 2023-10-19 | Dust explosion-related risk early warning system based on whole process monitoring of industrial equipment operation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311358154.3A CN117391444B (en) | 2023-10-19 | 2023-10-19 | Dust explosion-related risk early warning system based on whole process monitoring of industrial equipment operation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117391444A CN117391444A (en) | 2024-01-12 |
| CN117391444B true CN117391444B (en) | 2024-05-07 |
Family
ID=89471543
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311358154.3A Active CN117391444B (en) | 2023-10-19 | 2023-10-19 | Dust explosion-related risk early warning system based on whole process monitoring of industrial equipment operation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117391444B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110427000A (en) * | 2019-07-22 | 2019-11-08 | 浙江天澈科技有限公司 | A kind of chemical plant branch classification prediction scheme intelligence managing and control system |
| CN111985819A (en) * | 2020-08-23 | 2020-11-24 | 哈尔滨理工大学 | Industrial dust explosion-related risk evaluation method |
| CN115062990A (en) * | 2022-06-27 | 2022-09-16 | 清云智通(北京)科技有限公司 | Industrial park emergency management coping method, device and system |
| CN115098995A (en) * | 2022-05-17 | 2022-09-23 | 中国矿业大学 | Method for evaluating ignition risk of material in coal mine explosion environment |
| CN115993856A (en) * | 2023-03-22 | 2023-04-21 | 新立讯科技股份有限公司 | Multi-region environmental condition management and control method and system for factory building |
| KR20230087383A (en) * | 2021-12-09 | 2023-06-16 | 한국가스안전공사 | Risk Gradation System for Worker Safety Distance based on Risk Grade |
| CN116341914A (en) * | 2023-04-06 | 2023-06-27 | 中国平安财产保险股份有限公司 | Assessment method, device, equipment and storage medium for dust explosion risk level |
| WO2023131095A1 (en) * | 2022-01-04 | 2023-07-13 | 武汉路特斯汽车有限公司 | Traffic environmental risk assessment method and apparatus, and risk assessment method and apparatus |
| CN116433446A (en) * | 2023-06-07 | 2023-07-14 | 苏州振州机电科技有限公司 | Production safety monitoring method and system based on sensor data interaction |
| CN116642810A (en) * | 2023-04-14 | 2023-08-25 | 苏州百工环保科技有限公司 | Dust monitoring method and system based on Internet of things |
| CN116822715A (en) * | 2023-05-30 | 2023-09-29 | 北京东方通网信科技有限公司 | Safety production monitoring and early warning system based on artificial intelligence |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10613505B2 (en) * | 2018-03-29 | 2020-04-07 | Saudi Arabian Oil Company | Intelligent distributed industrial facility safety system |
-
2023
- 2023-10-19 CN CN202311358154.3A patent/CN117391444B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110427000A (en) * | 2019-07-22 | 2019-11-08 | 浙江天澈科技有限公司 | A kind of chemical plant branch classification prediction scheme intelligence managing and control system |
| CN111985819A (en) * | 2020-08-23 | 2020-11-24 | 哈尔滨理工大学 | Industrial dust explosion-related risk evaluation method |
| KR20230087383A (en) * | 2021-12-09 | 2023-06-16 | 한국가스안전공사 | Risk Gradation System for Worker Safety Distance based on Risk Grade |
| WO2023131095A1 (en) * | 2022-01-04 | 2023-07-13 | 武汉路特斯汽车有限公司 | Traffic environmental risk assessment method and apparatus, and risk assessment method and apparatus |
| CN115098995A (en) * | 2022-05-17 | 2022-09-23 | 中国矿业大学 | Method for evaluating ignition risk of material in coal mine explosion environment |
| CN115062990A (en) * | 2022-06-27 | 2022-09-16 | 清云智通(北京)科技有限公司 | Industrial park emergency management coping method, device and system |
| CN115993856A (en) * | 2023-03-22 | 2023-04-21 | 新立讯科技股份有限公司 | Multi-region environmental condition management and control method and system for factory building |
| CN116341914A (en) * | 2023-04-06 | 2023-06-27 | 中国平安财产保险股份有限公司 | Assessment method, device, equipment and storage medium for dust explosion risk level |
| CN116642810A (en) * | 2023-04-14 | 2023-08-25 | 苏州百工环保科技有限公司 | Dust monitoring method and system based on Internet of things |
| CN116822715A (en) * | 2023-05-30 | 2023-09-29 | 北京东方通网信科技有限公司 | Safety production monitoring and early warning system based on artificial intelligence |
| CN116433446A (en) * | 2023-06-07 | 2023-07-14 | 苏州振州机电科技有限公司 | Production safety monitoring method and system based on sensor data interaction |
Non-Patent Citations (1)
| Title |
|---|
| 基于物联网和云服务器的粉尘监控系统设计;王标;《华北科技学院报》;20210430;第86-90页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117391444A (en) | 2024-01-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP0843244B1 (en) | Diagnostic trend analysis for aircraft engines | |
| CN114994264B (en) | Park digital monitoring platform based on block chain enterprise-level ledger | |
| CN104395848A (en) | Method and system for real time dry low nitrogen oxide (dln) and diffusion combustion monitoring | |
| CN114757380B (en) | Fault early warning system and method for thermal power plant, electronic equipment and storage medium | |
| CN116843174A (en) | Building engineering construction safety supervision system based on data analysis | |
| CN117079428A (en) | Regional early warning system for monitoring leakage of dangerous chemical gas in factory | |
| CN116468204B (en) | Industrial product carbon footprint online monitoring method, system, equipment and storage medium | |
| CN116181416A (en) | Multi-parameter advanced early warning system and method for rock burst | |
| CN112783100A (en) | Memory, chemical enterprise safety production risk early warning method, equipment and device | |
| CN116070917A (en) | Dangerous chemical risk level evaluation system based on artificial intelligent storage | |
| CN117391444B (en) | Dust explosion-related risk early warning system based on whole process monitoring of industrial equipment operation | |
| CN116517862B (en) | Abnormality diagnosis system for mine ventilator | |
| CN117079442A (en) | Chemical industry park hazardous chemical gas leakage diffusion monitoring system based on data analysis | |
| CN102330608B (en) | Systems and methods for determining steady state conditions in a gas turbine | |
| CN113552853B (en) | Alarm management method and device for multiple working conditions of chemical system | |
| Johansson et al. | Predicting mould growth on building materials-the PJ-model | |
| CN114720642A (en) | Safety pre-judging method, device, equipment and medium based on carbon monoxide concentration | |
| CN116483045B (en) | Intelligent management and control system for cement clinker production safety based on data analysis | |
| CN113704066A (en) | Machine room equipment monitoring and management method, storage medium and system | |
| CN115892828B (en) | Storage supervision system for storage device for chemical production | |
| CN116975768B (en) | Data anomaly detection method for fertilizer safety production | |
| CN114742300B (en) | Denitration device boiler flue resistance early warning method and system | |
| CN117826693B (en) | Intelligent oil depot monitoring and early warning system and method | |
| CN115292881A (en) | Cement kiln node parameter correlation verification method and device | |
| Demichela et al. | Advanced tools for occupational accidents data collection and analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |