CN115601927A - Coal mine alarm event decision method and system based on algorithm model - Google Patents
Coal mine alarm event decision method and system based on algorithm model Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/001—Alarm cancelling procedures or alarm forwarding decisions, e.g. based on absence of alarm confirmation
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/002—Generating a prealarm to the central station
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- 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
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- 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]
Abstract
The embodiment of the disclosure relates to a coal mine alarm event decision method and a system based on an algorithm model, comprising the following steps: defining and configuring an alarm event according to the alarm event characteristic elements; acquiring monitoring data of a plurality of first monitoring devices with real-time requirements; acquiring key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements; configuring a calculation rule of the alarm event according to the defined and configured alarm event; establishing a calculation model of the alarm event according to a calculation rule; inputting the obtained monitoring data and the key index monitoring data into a calculation model for analysis and calculation; and automatically making a decision according to the calculation result. In the embodiment, a plurality of related devices are grouped according to the alarm event, monitoring data of each key index is monitored according to the device group, and a complete related monitoring index of the alarm event is established through the device grouping, so that support is provided for completing monitoring, calculation and alarm of the complex alarm event.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of coal mine safety, in particular to a coal mine alarm event decision method and a system based on an algorithm model.
Background
The mine safety production abnormity alarm is an important content for monitoring the coal mine safety production. And automatically confirming the alarm level of the alarm event according to the requirement, and leading managers at all levels to intervene according to the alarm level and carry out management and control treatment and supervision and inspection on the alarm event.
At present, underground online monitoring equipment monitors alarm parameters, judges whether to alarm or not and determines alarm level through programming of the equipment. Alarms and alarm level confirmation from the database information cannot be passed through the configuration alarm and confirmation alarm level.
The existing coal mine alarm has simple alarm events and can not calculate and judge the complicated alarm level confirmation; management attribute information such as alarm category, specialty and the like cannot be preset according to the management requirements of the alarm event, and the management attribute information needs to be judged by a dispatching center person to report related personnel and department treatment; the equipment side programming is the solidified content of the equipment, and a user cannot configure alarm rule logic according to the requirement; for the data of the database system, the alarm and the confirmation of the alarm level can not be carried out according to the configuration rule configuration by monitoring key parameters of the database data. And the existing monitoring equipment sends data to the processing platform in real time, so that the pressure of the platform for monitoring the data volume is large.
Accordingly, there is a need to ameliorate one or more of the problems with the above-mentioned related art solutions.
It is noted that this section is intended to provide a background or context to the disclosure as recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
Disclosure of Invention
An object of the embodiments of the present disclosure is to provide a method and a system for coal mine alarm event decision-making based on an algorithm model, so as to overcome one or more problems caused by the limitations and disadvantages of the related art at least to a certain extent.
The embodiment of the disclosure firstly provides a coal mine alarm event decision method based on an algorithm model, which comprises the following steps:
defining and configuring an alarm event according to the alarm event characteristic elements;
acquiring monitoring data of a plurality of first monitoring devices with real-time requirements;
acquiring key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements;
according to the defined and configured alarm event, selecting the monitoring data of the first monitoring equipment and the key index monitoring data acquired by the second monitoring equipment by associating the monitoring data of the first monitoring equipment with the database to configure the calculation rule of the alarm event;
establishing a calculation model of the alarm event according to the calculation rule;
inputting the obtained monitoring data and the key index monitoring data into the calculation model for analysis and calculation;
and automatically deciding whether the alarm condition is met or not, or whether the alarm level upgrading condition is met or not, or whether the alarm releasing condition is met according to the calculation result, so as to automatically trigger the handling function of the corresponding alarm event after the condition is met.
In an embodiment of the present disclosure, the step of obtaining monitoring data of a plurality of first monitoring devices with real-time requirements includes:
dividing a plurality of monitoring devices into device groups;
binding monitoring data addresses of a plurality of the first monitoring device metrics related to the alarm event; acquiring first address information of index data in each first monitoring device;
and acquiring index data of the plurality of first monitoring devices in real time according to the first address information.
In an embodiment of the disclosure, the step of obtaining the key index monitoring data of the multiple second monitoring device association databases with the periodic requirement includes:
binding key index parameters of the database related to the alarm event; wherein the key index parameter includes device group information divided for a plurality of the second monitoring devices; the key index parameters comprise second address information and value period information for acquiring index data in the database;
and automatically searching the database corresponding to the second address according to the value period so as to acquire the monitoring data corresponding to the second monitoring equipment from the database.
In an embodiment of the present disclosure, the database is associated with a plurality of second monitoring devices, and acquires monitoring data corresponding to the second monitoring devices from each of the second monitoring devices according to a preset period.
In one embodiment of the present disclosure, the alarm event feature elements include a mine, a category, an alarm level, a professional category, an area, and a fleet; the classification comprises safety alarm, production abnormity alarm, equipment abnormity alarm and material abnormity alarm; the professional categories include coal mining, tunneling, electromechanical, transportation, ground water prevention and control, fire protection, ventilation, prevention, top plate prevention, impact prevention and the like; the area is defined according to the mine working face and transportation; the alarm levels include early warning, level 0 alarm, level 1 alarm, level 2 alarm and level 3 alarm.
In an embodiment of the present disclosure, the step of automatically deciding whether an alarm condition is satisfied according to the calculation result includes:
and if the calculation result meets the alarm condition, automatically alarming and automatically triggering the alarm event handling function.
In an embodiment of the present disclosure, the step of automatically deciding whether the condition of upgrading the alarm level is satisfied according to the calculation result includes:
and if the calculation result meets the alarm upgrading condition, automatically triggering the alarm event upgrading handling function.
In an embodiment of the present disclosure, the step of automatically deciding whether the alarm releasing condition is satisfied according to the calculation result includes:
if the calculation result meets the alarm release condition, automatically triggering the alarm event release handling function;
the alarm event dismissal function comprises:
when the alarm release condition is met, monitoring index data of the detection equipment within preset delay time;
if the index data meet the alarm condition within the preset delay time, the alarm is kept.
The embodiment of the disclosure further provides a coal mine alarm event decision method based on an algorithm model, which includes:
defining and configuring an alarm event according to the alarm event characteristic elements;
acquiring monitoring data of a plurality of first monitoring devices with real-time requirements;
acquiring key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements;
acquiring monitoring data as alarm information;
according to the defined and configured alarm event, selecting the monitoring data of the first monitoring equipment, the key index monitoring data acquired by the second monitoring equipment in association with the database and the alarm information so as to configure a calculation rule of the alarm event;
establishing a calculation model of the alarm event according to the calculation rule;
inputting the obtained monitoring data, the key index monitoring data and the alarm information into the calculation model for analysis and calculation;
and automatically deciding whether the alarm condition is met or not, or whether the alarm level upgrading condition is met or not, or whether the alarm releasing condition is met according to the calculation result, so as to automatically trigger the handling function of the corresponding alarm event after the condition is met.
The embodiment of the present disclosure further provides a coal mine alarm event decision system based on an algorithm model, which includes:
the defining module is used for defining and configuring the alarm event according to the alarm event characteristic elements;
the first acquisition module is used for acquiring monitoring data of a plurality of first monitoring devices with real-time requirements;
the second acquisition module is used for acquiring key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements;
the configuration module is used for selecting the monitoring data of the first monitoring equipment and the key index monitoring data obtained by the second monitoring equipment by associating the second monitoring equipment with the database according to the defined and configured alarm event so as to configure the calculation rule of the alarm event;
the model building module is used for building a calculation model of the alarm event according to the calculation rule;
the calculation module is used for inputting the acquired monitoring data and the key index monitoring data into the calculation model for analysis and calculation;
an automatic decision module for automatically deciding whether the alarm condition is satisfied or the alarm level upgrading condition is satisfied or the alarm releasing condition is satisfied according to the calculation result, so as to automatically trigger the handling function of the corresponding alarm event after the condition is satisfied
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
according to the coal mine alarm event decision method and the system based on the algorithm model in the embodiment of the disclosure, a plurality of related devices are grouped according to the alarm event, monitoring data of each key index is monitored according to the device group, and a complete related monitoring index of the alarm event is established through the device grouping, so that support is provided for completing monitoring, calculation and alarm of a complex alarm event; the method for acquiring the monitoring data by real-time and periodic configuration is provided, so that the requirement on computing resources is effectively reduced and the reliability is improved; in addition, according to the level and the upgrading calculation model of the coal mine alarm event, the alarm event is upgraded, and a basis is provided for the disposal management of the alarm event.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 is a schematic diagram illustrating an algorithmic model-based coal mine alarm event decision-making method in an exemplary embodiment of the disclosure;
FIG. 2 is a schematic diagram of a coal mine alarm event decision method based on an algorithm model in yet another exemplary embodiment of the disclosure;
FIG. 3 is a schematic diagram illustrating an algorithmic model-based coal mine alarm event decision system in an exemplary embodiment of the disclosure;
FIG. 4 shows a schematic diagram of a coal mine alarm event decision flow based on an algorithmic model in an exemplary embodiment of the disclosure.
Reference numerals:
301. defining a module; 303. a first acquisition module; 303. a second acquisition module; 304. a configuration module; 305. a model building module; 306. a calculation module; 307. and an automatic decision module.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of embodiments of the disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
In this exemplary embodiment, a coal mine alarm event decision method based on an algorithm model is provided, as shown in fig. 1 and 4, and may include:
and step S101, defining and configuring the alarm event according to the alarm event characteristic elements.
Step S102, acquiring monitoring data of a plurality of first monitoring devices having a real-time requirement.
Step S103, key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements are obtained.
And step S104, selecting the monitoring data of the first monitoring equipment and the key index monitoring data obtained by the second monitoring equipment in association with the database according to the defined and configured alarm event so as to configure the calculation rule of the alarm event.
And step S105, establishing a calculation model of the alarm event according to the calculation rule.
And S106, inputting the acquired monitoring data and the key index monitoring data into the calculation model for analysis and calculation.
And step S107, automatically deciding whether the alarm condition is met or not, or whether the alarm level upgrading condition is met or whether the alarm releasing condition is met according to the calculation result, and automatically triggering the handling function of the corresponding alarm event after the condition is met.
Specifically, the monitoring device can comprise an air quantity sensor, a wind direction sensor, a wind door sensor, a smoke sensor, a wind speed sensor, a temperature sensor, a methane sensor, a CO sensor, a hydrogen sulfide sensor, a negative pressure sensor, a high-low concentration gas sensor and an O sensor 2 Sensor, CO 2 Sensor, start/stop sensor, NO 2 The sensor, the dust sensor, the water level sensor, the flow sensor and the like can acquire coal mine safety monitoring data in real time. The classification of the alarm time characteristic elements in the embodiment includes a safety monitoring alarm, a major hidden danger alarm, a major safety risk inspection alarm, a third violation alarm, a personnel positioning alarm, a high risk operation alarm, an equipment abnormity alarm, a production abnormity alarm, a material abnormity alarm and the like.
In the embodiment, a real-time requirement is imposed on relevant monitoring equipment such as major hidden danger alarm, major safety risk inspection alarm, high risk operation alarm, equipment abnormity alarm and the like, that is, index data is obtained from an interface of the monitoring equipment in real time, and the interface of the monitoring equipment can be an MQTT gateway so as to convert acquired data into an MQTT protocol, so that the communication data volume is reduced, and the communication rate is improved; in addition, in the embodiment, the underground overtaking alarm and the material supply abnormal alarm are attributed to the alarm event without real-time requirement, and data can be acquired from the time sequence database interface according to the value period. The method for acquiring the monitoring data according to the emergency characteristic requirement configuration of the alarm event can solve the problem that the system cannot respond in real time when the data acquisition method is adopted; in addition, various monitoring devices are monitored in real time or periodically according to real-time requirements, and the problem of large data volume of all real-time monitoring can be solved.
In addition, in one example, a plurality of second monitoring devices are associated with the database, and monitoring data corresponding to the second monitoring devices is acquired from each of the second monitoring devices according to a preset period. The database in this example may be an industrial internet platform, which may set a period for collecting the monitoring data, for example, the database collects the monitoring data associated with the monitoring data once a minute to store the monitoring data in the database, and the database may store the data in a data overlay manner, that is, the currently collected data overlays the last collected data to release the memory of the database.
Before the system operates, an alarm event needs to be defined, specifically, the name, the category, the equipment group or the bound data source, the mine, the category, the area, the profession and the like of the alarm event are defined. The checking of different authorities can be carried out manually.
And selecting and configuring a monitoring index of a device group and a key index of a database for the defined alarm event, and configuring a calculation rule of the alarm event, wherein in one example, the calculation rule comprises a calculation expression, duration and upgrading duration aiming at different alarm events. The method specifically comprises various calculation expressions, duration, upgrading duration and the like, and a calculation model of the alarm event is established.
More specifically, threshold values of each index data and an upgrade threshold value condition may be preset, so as to compare the acquired data with the preset threshold values. For example, a water level alarm for a water reservoir in a downhole working surface, as shown in table 1:
table 1: water level alarm event classification management of water storage pool
| Rank of | Conditions of configuration | Duration (minutes) | Duration of upgrade (minute) |
| Level 0 | Threshold value a0 | t0 | t01 |
| Level 1 | Threshold value a1 | t1 | t11 |
| Stage 2 | Threshold value a2 | t2 | t21 |
| Grade 3 | Threshold value a3 | t3 |
When the water level exceeds a threshold value a0 or underground equipment directly uploads alarm information, and after the duration time reaches t0, the alarm level is 0 level alarm; if the upgrading time is configured, after the 0-level alarm is generated, the duration reaches t01, and the 0-level alarm is automatically upgraded to the 1-level alarm;
when the water level exceeds a threshold value a1 and the duration reaches t1, the alarm level is 1 level alarm; if the upgrade time is configured, after the 1-level alarm is generated, the duration reaches t11 (the upgrade time), and the 1-level alarm is automatically upgraded to the 2-level alarm;
when the water level exceeds a threshold value a2 and the duration reaches t2, the alarm level is 2-level alarm; if the upgrade time is configured, after the 2-level alarm is generated, the duration reaches t21 (the upgrade time), and the 2-level alarm is automatically upgraded to the 3-level alarm;
when the water level exceeds a threshold value a3 and the duration reaches t3, the alarm level is 3-level alarm.
It should be noted that, a curvature threshold for water level rising may be set, or if the upper level of the water level exceeds the curvature threshold, an alarm may be given, and an alarm level may be set according to the mine category.
And for example, gas alarm, configuring an alarm rule according to the acquired sensor monitoring data of the equipment group, wherein the acquired sensor monitoring data comprise comprehensive parameters such as alarm information, gas concentration, delay time, ventilation data, gas concentration change curvature and the like, so as to establish a calculation model, and determining information such as alarm level and the like according to the data.
It should be noted that, the data acquisition address is bound according to the key indexes of the device group, which is convenient for maintenance work of system online implementation, device change, device moving, operation and maintenance.
The method can configure a calculation model of the alarm event according to the configured calculation rule, comprises the calculation and judgment of alarm information, key index monitoring data, a calculation expression, time delay and alarm level, and flexibly, completely and uniformly solves the problems of data acquisition, calculation and judgment of various alarm events, particularly complex alarm events.
In the embodiment, a plurality of related devices are grouped according to the alarm event, each key index monitoring data is monitored according to the device group, and a complete alarm event related monitoring index is established through the device grouping, so that support is provided for completing monitoring, calculation and alarm of a complex alarm event; the method for acquiring the monitoring data by real-time and periodic configuration is provided, so that the requirement on computing resources is effectively reduced and the reliability is improved; in addition, according to the level and the upgrading calculation model of the coal mine alarm event, the alarm event is upgraded, and a basis is provided for the disposal management of the alarm event.
Optionally, in some embodiments, step S102 includes step S1021, performing device group division on a plurality of the first monitoring devices; step S1022, binding index parameters of a plurality of first monitoring devices related to the alarm event; the index parameter comprises equipment group information divided for a plurality of first monitoring equipment and first address information for acquiring index data in each first monitoring equipment; step S1023, obtaining the index numbers of the plurality of first monitoring devices in real time according to the first address information.
Specifically, the binding of the device monitoring index parameters of the alarm event includes device grouping of a plurality of devices related to the alarm event, a device index data acquisition address and the like, and the system automatically searches for the monitoring data of the address acquisition device group in real time by binding the index parameters of the monitoring devices. The method comprises the steps of grouping monitoring devices aiming at alarm events, comprehensively calculating the alarm and the alarm level of the alarm events by using multi-device monitoring data, completing the comprehensively calculated alarm events which can not be completed by single device, and providing analysis support of the multi-device monitoring data for the disposal of the alarm events.
Optionally, in some embodiments, in step S103, a step S1031 is further included, where key index parameters of the database related to the alarm event are bound; wherein the key index parameter includes device group information divided for a plurality of the second monitoring devices; the key index parameters comprise second address information and value period information of index data in the database; step S1032, automatically finding the database corresponding to the second address according to the value taking period, so as to obtain the monitoring data corresponding to the second monitoring device from the database.
Specifically, binding of key monitoring index parameters of a database of an alarm event, such as a safety risk and hidden danger dual-pilot control system, a production management system, a safety management system and the like, comprises acquiring an address and a value period of index data, and the system automatically searches for the monitoring data of an address acquisition equipment group according to the period by binding the index parameters of the monitoring database data. Acquiring data from a time sequence database interface according to a value period without real-time requirement, wherein the value period is configured according to an alarm event; the method for acquiring the monitoring data is configured according to the emergency characteristic requirements of the alarm events, so that the problem that the system cannot respond in real time when the method for acquiring the data is adopted is solved. And binding the data acquisition address according to the key indexes of the database, so that the online implementation and operation and maintenance of the system are facilitated. According to the real-time requirement of the coal mine alarm event, different acquisition methods are adopted respectively, and the problem of operation performance is solved.
Optionally, in some embodiments, the alarm event feature elements include mines, categories, alarm levels, specialty categories, areas, fleets; the classification comprises safety alarm, production abnormity alarm, equipment abnormity alarm and material abnormity alarm; the professional categories include coal mining, tunneling, electromechanical, transportation, ground water prevention and control, fire protection, ventilation, prevention, top plate prevention, impact prevention and the like; the area is defined according to the mine working face and transportation; the alarm levels include early warning, level 0 alarm, level 1 alarm, level 2 alarm and level 3 alarm.
Specifically, the feature elements are selected when defining the alarm event, and are important contents defined by the alarm event, and the authority of the personnel, the alarm event disposal personnel and the dimensionality of the safety state analysis are pushed according to the feature element configuration information of the alarm event.
The alarm event feature elements include: mine, category, alarm level, specialty category, area, fleet, etc. Wherein the classification includes: safety alarm, production abnormity alarm, equipment abnormity alarm, material abnormity alarm and the like.
The safety alarm comprises a safety monitoring alarm, an accident potential alarm, a major safety risk point inspection alarm, a third violation alarm, a personnel positioning alarm and a high risk operation alarm.
The safety monitoring and monitoring alarm comprises a grade, a professional category, an area and a fleet. Safety monitoring and monitoring alarm level: the method comprises an early warning level, a0 level warning level, a1 level warning level, a2 level warning level and a3 level warning level; professional categories include: the method comprises coal mining, tunneling, electromechanical, transportation, water prevention and control by ground survey, fire fighting, ventilation, prevention, top plate, anti-impact, other aspects and the like; area: defining areas according to a main transport lane, an auxiliary transport lane, an air inlet and return lane, a fully mechanized mining working face, a tunneling working face, an underground chamber, a ground machine room, a workshop and the like of a mine; and (3) zone team: the method is defined according to the units of the operation of the mine company, such as a fully mechanized mining team, a tunneling team, an electromechanical team, a transportation team, a gas extraction team, a water exploration and drainage team, a preparation team, a maintenance team, an anti-scour team, an installation company, a comprehensive service team and the like.
The accident hazard alarm comprises a grade, a professional category, a region and a region. Accident potential grade: including major, important, and general; professional categories include: safety management, ventilation, prevention of fire, flood, roof, road management, ground survey, prevention of water, electricity, lifting, transportation management, electromechanical management, fire management, environmental protection, blasting and explosive management, ground daily management, civil explosive, ground construction, other hidden dangers and the like; area: defining areas according to a main transport lane, an auxiliary transport lane, an air inlet and return lane, a fully mechanized mining working face, a tunneling working face, an underground chamber, a ground machine room, a workshop and the like of a mine; and (3) zone team: the method is defined according to the units of the operation of the mine company, such as a fully mechanized mining team, a tunneling team, an electromechanical team, a transportation team, a gas extraction team, a water exploration and drainage team, a preparation team, a maintenance team, an anti-scour team, an installation company, a comprehensive service team and the like.
Major security risk point inspection alarms include level, specialty category, area, and fleet. Security risk level: including particularly significant, intermediate, and general risks; professional categories include: coal mining, vehicle injury, electric shock, roof fall from high, pressure vessel explosion, environmental pollution, fire, electromechanics, tunneling, coal dust, water damage, collapse, ventilation, civil engineering, gas, violation accidents, object striking, drowning, influencing safe production, transportation, poisoning suffocation, burn, lifting injury, personal injury, mechanical injury, other injury and the like. Area: defining areas according to a main transport lane, an auxiliary transport lane, an air inlet and return lane, a fully mechanized mining face, a tunneling face, an underground chamber, a ground machine room, a workshop and the like of a mine; and (3) zone team: the method is defined according to the units of the operation of the mine company, such as a fully mechanized mining team, a tunneling team, an electromechanical team, a transportation team, a gas extraction team, a water exploration and drainage team, a preparation team, a maintenance team, an anti-scour team, an installation company, a comprehensive service team and the like.
The triple violation alarms include level, category, area, and fleet. The grades include: severe, general; the category: establishing a corresponding unsafe behavior description database according to the levels, and refining and standardizing the levels and the contents of unsafe behaviors; area: defining areas according to a main transport lane, an auxiliary transport lane, an air inlet and return lane, a fully mechanized mining working face, a tunneling working face, an underground chamber, a ground machine room, a workshop and the like of a mine; zone team: the method is defined according to the units of the operation of the mine company, such as a fully mechanized mining team, a tunneling team, an electromechanical team, a transportation team, a gas extraction team, a water exploration and drainage team, a preparation team, a maintenance team, an anti-scour team, an installation company, a comprehensive service team and the like.
Personnel location alarms include level, category, area, and fleet. The grades include: severe, large and general; the personnel location alarm categories include: leading the operator to take a shift to alarm in the well, exceeding the operator in the well, overtime and alarming on idle posts; area: defining areas according to a main transport lane, an auxiliary transport lane, an air inlet and return lane, a fully mechanized mining working face, a tunneling working face, an underground chamber, a ground machine room, a workshop and the like of a mine; and (3) zone team: the method is defined according to the units of the operation of the mine company, such as a fully mechanized mining team, a tunneling team, an electromechanical team, a transportation team, a gas extraction team, a water exploration and drainage team, a preparation team, a maintenance team, an anti-scour team, an installation company, a comprehensive service team and the like.
High risk job alerts include level, category, area, and fleet. The grades comprise: heavy, large and general; the categories include: high risk operation alarm, key engineering operation alarm and special operation overrun alarm; area: defining areas according to a main transport lane, an auxiliary transport lane, an air inlet and return lane, a fully mechanized mining working face, a tunneling working face, an underground chamber, a ground machine room, a workshop and the like of a mine; and (3) zone team: the method is defined according to the units of the operation of the mine company, such as a fully mechanized mining team, a tunneling team, an electromechanical team, a transportation team, a gas extraction team, a water exploration and drainage team, a preparation team, a maintenance team, an anti-scour team, an installation company, a comprehensive service team and the like.
Wherein, the production abnormity is reported to the police the middle level to include: severe, large and general; the categories include: fully mechanized mining, tunneling, belt conveying, transportation, safety, plan continuation, production plan and the like; the method comprises the steps of alarming when the coal mining machine stops operating for a plurality of hours, alarming when the heading machine stops operating for a plurality of hours, and alarming when the production plan is tracked abnormally.
Wherein, equipment exception alarm medium level includes: severe, large and general; the categories include: fully mechanized mining, tunneling, belt, transportation and the like; the method comprises the steps of alarming for faults of a coal mining machine, faults of a fully mechanized mining machine and abnormal monitoring parameters of equipment, such as exceeding of the temperature of a bearing of certain equipment, exceeding of sound and the like, and overdue overhaul of the equipment.
Wherein, the material unusual alarm medium level includes: severe, large and general; the categories include: equipment spare parts, main raw materials, auxiliary raw materials, emergency materials and the like; including stocking supplies according to a production plan such as missing parts, minimum reserves, overtime, long dead stock, etc.
Optionally, in some embodiments, step S107 includes step S1071, if the calculation result meets an alarm condition, automatically alarming, and automatically triggering the alarm event handling function; step S1072, if the calculation result meets the alarm upgrading condition, the alarm event upgrading handling function is automatically triggered; and step S1073, if the calculation result meets the alarm release condition, automatically triggering the alarm event release handling function.
Specifically, after the system runs, the value taking period, the alarm event and the index monitoring value taking address are used for obtaining index data at regular time, and the analytic calculation is carried out according to a calculation model configured by the alarm event. And upgrading the alarm event according to the level and the upgrading calculation model of the coal mine alarm event, and providing a basis for the disposal management of the alarm event.
Optionally, in some embodiments, the step S1073 includes a step S10731, monitoring index data of the detection device within a preset delay time when the alarm release condition is satisfied; and S10732, if the index data meet the alarm condition within the preset delay time, keeping the alarm.
Specifically, when the alarm release condition is met, the alarm is released when the set delay time exceeds the delay time, if the monitoring data meets the alarm condition within the delay time, the alarm is kept, and the discontinuity of alarm event treatment caused by the fluctuation of the alarm monitoring data is avoided.
Optionally, in some embodiments, the method further includes: step S108, after the alarm event occurs, automatically storing data related to the alarm event until the alarm is released; wherein the data includes alarm level timing data, monitoring index timing data, alarm related timing data, and anomaly flag data.
After the alarm, the system automatically stores all alarm related data after the alarm and before the alarm is released, wherein the alarm related data comprises alarm level time sequence data, time sequence data of monitoring indexes, time sequence data related to the alarm, data abnormal marks and the like, and historical data of alarm events is used for alarm handling analysis, multi-index comprehensive analysis, mine safety state analysis and the like, and is a precious information resource for safety, production and operation analysis of coal mine enterprises. The alarm record content comprises an alarm event ID, a type, a starting time, an alarm name, a highest level, a mine, an area and a specialty; time stamp, alarm level and index name and index data value of each relevant index.
In this exemplary embodiment, a coal mine alarm event decision method based on an algorithm model is further provided, as shown in fig. 2, including:
step S201, defining and configuring an alarm event according to the alarm event characteristic elements;
step S202, acquiring monitoring data of a plurality of first monitoring devices with real-time requirements;
step S203, acquiring key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements;
step S204, acquiring monitoring data as alarm information;
step S205, according to the defined and configured alarm event, selecting the monitoring data of the first monitoring device, the key index monitoring data acquired by the second monitoring device in association with the database and the alarm information to configure the calculation rule of the alarm event;
step S206, establishing a calculation model of the alarm event according to the calculation rule;
step S207, inputting the acquired monitoring data, the key index monitoring data and the alarm information into the calculation model for analysis calculation;
step S208, according to the calculation result, whether the alarm condition is satisfied, whether the alarm level condition is satisfied for upgrading, or whether the alarm condition is satisfied for releasing is automatically decided, so as to automatically trigger the handling function of the corresponding alarm event after the condition is satisfied.
According to the description of the embodiment, it can be understood that the system can receive alarm information sent out underground the coal mine, preferentially input the alarm information into the established calculation model for calculation, preferentially push the alarm information, and then decide whether the alarm event is upgraded or contacted or not according to the monitoring data and the key index monitoring data.
The exemplary embodiment also provides a coal mine alarm event decision system based on an algorithm model, as shown in fig. 3, which may include a defining module 301, a first obtaining module 303, a second obtaining module 303, a configuration module 304, a model building module 305, a calculating module 306, and an automatic decision module 307.
The definition module 301 is used for defining and configuring an alarm event according to the alarm event feature elements; the first obtaining module 303 is configured to obtain monitoring data of a plurality of first monitoring devices with a real-time requirement, and perform device group division on the plurality of first monitoring devices; the second obtaining module 303 is configured to obtain key index monitoring data of multiple second monitoring device association databases with periodic requirements; the configuration module 304 is configured to select, according to the defined and configured alarm event, monitoring data of a device group in which the first monitoring device is located and key index monitoring data obtained by associating the second monitoring device with the database, so as to configure a calculation rule of the alarm event; the model establishing module 305 is used for establishing a calculation model of the alarm event according to the calculation rule; the calculation module 306 is configured to input the acquired monitoring data and the acquired key index monitoring data into the calculation model for analysis calculation; the automatic decision module 307 is configured to automatically decide whether an alarm condition is satisfied, or an upgraded alarm level condition is satisfied, or a disarmed alarm condition is satisfied, according to the calculation result, so as to automatically trigger a handling function of a corresponding alarm event after the condition is satisfied.
The working principle of the coal mine alarm event decision-making system based on the algorithm model provided by this embodiment is the same as that of the coal mine alarm event decision-making method based on the algorithm model in the above embodiment, and the working principle can be understood by referring to the above embodiment specifically, and is not described herein again.
It is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," and the like in the foregoing description are used in an orientation or positional relationship indicated in the drawings for convenience in describing the disclosed embodiments and to simplify the description, and are not intended to indicate or imply that the device or element so referred to must have a particular orientation, be constructed in a particular orientation, and be constructed in an operative manner and are not to be construed as limiting the disclosed embodiments.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the embodiments of the present disclosure, "a plurality" means two or more unless specifically limited otherwise.
In the embodiments of the present disclosure, unless otherwise specifically stated or limited, the terms "mounted," "connected," and "fixed" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present disclosure can be understood by those of ordinary skill in the art as appropriate.
In the embodiments of the present disclosure, unless otherwise expressly specified or limited, the first feature "on" or "under" the second feature may comprise the first and second features being in direct contact, or may comprise the first and second features being in contact, not directly, but via another feature therebetween. Also, the first feature "on," "above" and "over" the second feature may include the first feature being directly above and obliquely above the second feature, or simply indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples described in this specification can be combined and combined by those skilled in the art.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A coal mine alarm event decision method based on an algorithm model is characterized by comprising the following steps:
defining and configuring an alarm event according to the alarm event characteristic elements;
acquiring monitoring data of a plurality of first monitoring devices with real-time requirements;
acquiring key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements;
according to the defined and configured alarm event, selecting the monitoring data of the first monitoring equipment and the key index monitoring data acquired by the second monitoring equipment by associating the monitoring data of the first monitoring equipment with the database to configure the calculation rule of the alarm event;
establishing a calculation model of the alarm event according to the calculation rule;
inputting the obtained monitoring data and the key index monitoring data into the calculation model for analysis and calculation;
and automatically deciding whether the alarm condition is met or not, or whether the alarm level upgrading condition is met or not, or whether the alarm releasing condition is met according to the calculation result, so as to automatically trigger the handling function of the corresponding alarm event after the condition is met.
2. The algorithm model-based coal mine alarm event decision method as claimed in claim 1, wherein the step of obtaining monitoring data of a plurality of first monitoring devices having real-time requirements comprises:
dividing a plurality of monitoring devices into device groups;
binding metrics of a plurality of the first monitoring devices related to the alarm event; the index parameter comprises equipment group information divided for a plurality of first monitoring equipment and first address information for acquiring index monitoring data in each first monitoring equipment;
and acquiring monitoring data of a plurality of first monitoring devices in real time according to the address information of the monitoring index of the first monitoring device.
3. The algorithm model-based coal mine alarm event decision method according to claim 1, wherein the step of obtaining key indicator monitoring data of a plurality of second monitoring device associated databases with periodic requirements comprises:
binding key index parameters of the database related to the alarm event; the key index parameters comprise equipment group information divided for the second monitoring equipment, and the key index parameters comprise second address information and value period information for acquiring index data in the database;
and automatically searching the database corresponding to the second address according to the value period so as to acquire the monitoring data corresponding to the second monitoring equipment from the database.
4. The algorithm model-based coal mine alarm event decision method according to claim 3, characterized in that a plurality of second monitoring devices are associated with the database, and monitoring data corresponding to the second monitoring devices are obtained from each second monitoring device according to a preset period.
5. The algorithm model-based coal mine alarm event decision method according to claim 1, wherein the alarm event feature elements include mine, classification, alarm level, professional category, area, fleet; the classification comprises safety alarm, production abnormity alarm, equipment abnormity alarm and material abnormity alarm; the professional categories include coal mining, tunneling, electromechanical, transportation, ground water prevention and control, fire protection, ventilation, prevention, top plate prevention, impact prevention and the like; the area is defined according to the mine working face and transportation; the alarm levels include early warning, level 0 alarm, level 1 alarm, level 2 alarm and level 3 alarm.
6. The algorithm model-based coal mine alarm event decision method as claimed in claim 1, wherein the step of automatically deciding whether the alarm condition is satisfied according to the calculation result comprises:
if the calculation result meets the alarm condition, automatically alarming and automatically triggering the alarm event handling function; or
The step of automatically deciding whether the condition of upgrading the alarm level is met according to the calculation result comprises the following steps:
and if the calculation result meets the alarm upgrading condition, automatically triggering the alarm event upgrading handling function.
7. The coal mine alarm event decision method based on algorithm model as claimed in claim 6, wherein the step of automatically deciding whether the alarm-removing condition is satisfied according to the calculation result comprises:
if the calculation result meets the alarm release condition, automatically triggering the alarm event release handling function;
the alarm event dismissal function comprises:
when the alarm relieving condition is met, monitoring index data of the detection equipment within preset delay time;
if the index data meet the alarm condition within the preset delay time, the alarm is kept.
8. The algorithm model-based coal mine alarm event decision method of claim 1, further comprising:
after the alarm event occurs, automatically storing data related to the alarm event until the alarm is released;
wherein the data includes alarm level timing data, monitoring index timing data, alarm related timing data, and anomaly flag data.
9. A coal mine alarm event decision method based on an algorithm model is characterized by comprising the following steps:
defining and configuring an alarm event according to the alarm event characteristic elements;
acquiring monitoring data of a plurality of first monitoring devices with real-time requirements;
acquiring key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements;
acquiring monitoring data as alarm information;
according to the defined and configured alarm event, selecting the monitoring data of the first monitoring equipment, the key index monitoring data acquired by the second monitoring equipment in association with the database and the alarm information so as to configure a calculation rule of the alarm event;
establishing a calculation model of the alarm event according to the calculation rule;
inputting the obtained monitoring data, the key index monitoring data and the alarm information into the calculation model for analysis and calculation;
and automatically deciding whether the alarm condition is met or not, or whether the alarm level upgrading condition is met or not, or whether the alarm releasing condition is met according to the calculation result, so as to automatically trigger the handling function of the corresponding alarm event after the condition is met.
10. A coal mine alarm event decision making system based on an algorithm model is characterized by comprising the following components:
the definition module is used for defining and configuring the alarm event according to the alarm event characteristic elements;
the first acquisition module is used for acquiring monitoring data of a plurality of first monitoring devices with real-time requirements;
the second acquisition module is used for acquiring key index monitoring data of a plurality of second monitoring equipment association databases with periodic requirements;
the configuration module is used for selecting the monitoring data of the first monitoring equipment and the key index monitoring data obtained by the second monitoring equipment by associating the second monitoring equipment with the database according to the defined and configured alarm event so as to configure the calculation rule of the alarm event;
the model building module is used for building a calculation model of the alarm event according to the calculation rule;
the calculation module is used for inputting the acquired monitoring data and the key index monitoring data into the calculation model for analysis and calculation;
and the automatic decision module is used for automatically deciding whether the alarm condition is met or not according to the calculation result, or whether the alarm level upgrading condition is met or whether the alarm releasing condition is met, so as to automatically trigger the handling function of the corresponding alarm event after the condition is met.
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