CN116480421B - Comprehensive management system for mine ventilator - Google Patents
Comprehensive management system for mine ventilator Download PDFInfo
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- CN116480421B CN116480421B CN202310491377.0A CN202310491377A CN116480421B CN 116480421 B CN116480421 B CN 116480421B CN 202310491377 A CN202310491377 A CN 202310491377A CN 116480421 B CN116480421 B CN 116480421B
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- 238000012423 maintenance Methods 0.000 claims abstract description 124
- 230000002159 abnormal effect Effects 0.000 claims abstract description 79
- 238000004458 analytical method Methods 0.000 claims abstract description 53
- 238000007689 inspection Methods 0.000 claims abstract description 38
- 238000005265 energy consumption Methods 0.000 claims abstract description 17
- 238000007726 management method Methods 0.000 claims description 74
- 238000012545 processing Methods 0.000 claims description 47
- 238000003745 diagnosis Methods 0.000 claims description 36
- 230000005856 abnormality Effects 0.000 claims description 32
- 238000000034 method Methods 0.000 claims description 25
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- 230000001276 controlling effect Effects 0.000 claims description 5
- 230000001105 regulatory effect Effects 0.000 claims description 5
- 238000013079 data visualisation Methods 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 239000002817 coal dust Substances 0.000 claims description 2
- 238000009434 installation Methods 0.000 claims description 2
- 238000009423 ventilation Methods 0.000 abstract description 10
- 238000005065 mining Methods 0.000 abstract description 7
- 238000004519 manufacturing process Methods 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 4
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- 239000003245 coal Substances 0.000 description 2
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- 238000004140 cleaning Methods 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F1/00—Ventilation of mines or tunnels; Distribution of ventilating currents
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/001—Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
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Abstract
The application provides a comprehensive management system for a mine ventilator, which belongs to the field of mine ventilators, and comprises an in-mine acquisition module and a control center, wherein a comprehensive management unit is arranged in the control center; the control center receives and stores the information in the mine and the equipment information; accessing all stored information and displaying; performing diagnostic analysis on the equipment information to obtain an abnormal strategy corresponding to the parameters; carrying out variable frequency analysis on the information in the mine to generate a power regulation and control coefficient and sending the power regulation and control coefficient to the equipment regulation and control module, wherein the equipment regulation and control module regulates and controls the driving power of the equipment; the system can realize comprehensive monitoring, real-time data acquisition and analysis of the ventilation system, thereby realizing control and promotion of mine ventilation quality, simultaneously helping enterprise management personnel to realize maintenance management of equipment, formulation and execution of inspection plans, control of energy consumption and the like, promoting production efficiency and economic benefit of the ventilator to mining areas, and reducing operation cost and safety risk.
Description
Technical Field
The application belongs to the field of mine ventilators, and particularly relates to a comprehensive management system for a mine ventilator.
Background
The mine ventilator is a large-scale mechanical device which is specially applied to the fields of coal mines, metal mines, tunnels, underground engineering and the like, is mainly used for conveying fresh air to an underground working environment and exhausting toxic and harmful gas and dust, so as to ensure the life safety and health of workers, is an important work for ensuring the safe production of the coal mine when the mine ventilation system runs safely and stably, and is used as a main ventilation device of the mine ventilation system.
In the actual use process, a single ventilator can generate a large amount of data, other types of data exist besides the ventilator and various devices for managing the whole mine, and the ventilator for managing the whole mine has high requirements on data storage and use. In order to avoid overlarge data volume, the traditional method generally adopts the steps of cleaning and standardization before data storage, and only stores structured data. Although the method can compress data greatly, in the long term, the method does not keep original data, which is not beneficial to management of the ventilator, such as analysis of the fault rule of the ventilator from historical data, and is not convenient for management personnel to manage the ventilator comprehensively. We therefore propose an integrated management system for a mine ventilator to address the problems encountered in the foregoing.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a comprehensive management system for a mine ventilator, which aims to solve the problems that the method of not retaining original data, which is proposed in the background art, is not beneficial to managing the ventilator, such as not beneficial to analyzing the rule of ventilator faults from historical data, and is not convenient for management staff to manage the ventilator comprehensively.
The aim of the application can be achieved by the following technical scheme: the mining comprehensive management system comprises an in-mine acquisition module and a control center, wherein a comprehensive management unit is arranged in the control center;
the in-mine acquisition module acquires in-mine information and equipment information in real time through the sensor and the data acquisition device and sends the in-mine information and the equipment information to the equipment diagnosis module;
the control center receives and stores the information in the mine and the equipment information; accessing all stored information and displaying; performing diagnostic analysis on the equipment information, and recording abnormal information corresponding to the parameters when any parameter in the equipment information is not in a set normal threshold value; calculating the abnormality information to obtain an abnormality index corresponding to the parameter; when the abnormality index corresponding to the parameter is not in the set normal threshold value, obtaining an abnormality strategy corresponding to the parameter; carrying out variable frequency analysis on the information in the mine to generate a power regulation and control coefficient and sending the power regulation and control coefficient to the equipment regulation and control module, wherein the equipment regulation and control module regulates and controls the driving power of the equipment; comparing the power regulation and control coefficient with a set corresponding threshold value, if the power regulation and control coefficient is in a set normal threshold value, sending the power regulation and control coefficient to an equipment regulation and control module, regulating and controlling the driving power of equipment by the equipment regulation and control module, and if the power regulation and control coefficient is larger than the set normal threshold value, generating an in-mine anti-wind strategy;
the comprehensive management unit is used for processing the abnormal indexes corresponding to all the parameters to obtain an abnormal total value; if the abnormal total value is larger than the corresponding abnormal total threshold value, generating an equipment maintenance strategy; performing equipment analysis on the equipment management information to generate a set pipe value of the equipment; summing the set pipe values of all the devices and taking the average value of the sum as the set average value; when the set pipe value is not in the corresponding normal threshold value or 0, or the set average value is not in the preset threshold value, generating an equipment inspection strategy; performing maintenance analysis on the equipment maintenance information to obtain a maintenance loss value of the part; if the maintenance loss value is not in the set corresponding threshold value, generating a part maintenance strategy of the equipment; counting and analyzing the information in the mine, the equipment information, the equipment management information, the equipment maintenance information and the equipment energy consumption information to generate an analysis result, and displaying the analysis result in a form of a report form and a chart;
the strategy processing module is used for receiving the corresponding strategy to execute the processing operation of the corresponding strategy; and feeding back to the database after the processing operation of the corresponding strategy is completed.
As a preferred embodiment of the present application, the control center includes a database, a device diagnosis module, and a diagnosis processing module;
the database is used for receiving and storing the information in the mine and the equipment information;
the user interaction module is used for accessing and displaying information stored in the database;
the equipment diagnosis module is used for carrying out diagnosis analysis on the equipment information, and when any parameter in the equipment information is not in a set normal threshold value, the abnormal information corresponding to the parameter is recorded; calculating the abnormality information to obtain an abnormality index corresponding to the parameter; when the abnormality index corresponding to the parameter is not in the set normal threshold value, obtaining an abnormality strategy corresponding to the parameter;
the diagnosis processing module is used for receiving the corresponding strategy to perform diagnosis processing operation to obtain corresponding maintenance personnel, and sending the corresponding strategy, the corresponding equipment, the serial numbers of the parts and the positions to an intelligent terminal of the maintenance personnel; after receiving the corresponding strategy, the number and the position of the corresponding parameter, the maintainer processes the corresponding equipment and the parts through the intelligent terminal.
As a preferred embodiment of the present application, the control center is further provided with a comprehensive diagnosis module;
the comprehensive diagnosis module is used for receiving the abnormal indexes corresponding to all the parameters and carrying out normalization calculation on the abnormal indexes corresponding to all the parameters to obtain a comprehensive value; screening the comprehensive values, marking the comprehensive values larger than the comprehensive threshold as excessive values, recording the duration and the number of times of the excessive values as excessive duration and excessive number of times respectively, constructing a comprehensive parameter graph, and calculating the excessive values, the corresponding excessive duration and excessive number of times to obtain abnormal values; summing all abnormal values in a designated preset time zone and taking an average value to obtain an abnormal total value; and comparing the abnormal total value with a corresponding abnormal total threshold value, and if the abnormal total value is larger than the corresponding abnormal total threshold value, generating an equipment overhaul strategy.
As a preferred embodiment of the present application, the integrated management unit includes a device management module, a maintenance management module, an energy management module, and a report statistics module;
the device management module is used for extracting device management information in the database to perform device analysis so as to obtain a set management value of the device; summing the set pipe values of all the devices and taking the average value of the sum as the set average value; when the set pipe value is not in the corresponding normal threshold value or 0, or the set average value is not in the preset threshold value, generating an equipment inspection strategy; acquiring set pipe values of all the devices, and sorting according to the sizes of the set pipe values to generate a patrol order list;
the maintenance management module is used for extracting equipment maintenance information in the database to carry out maintenance analysis so as to obtain a maintenance loss value of the part; comparing the maintenance loss value with a set corresponding threshold value, and if the maintenance loss value is not in the set corresponding threshold value, generating a part maintenance strategy of the equipment; the maintenance times of the parts are increased and recorded in the equipment maintenance information once; obtaining maintenance values of all parts on corresponding equipment, and sorting according to the size of the maintenance values to generate a part maintenance list;
the energy management module is used for extracting equipment energy consumption information in the database to perform energy analysis so as to obtain an energy consumption value;
and the report statistics module adopts a data visualization tool to carry out statistics and analysis on the in-mine information, the equipment management information, the equipment maintenance information and the equipment energy consumption information in the database so as to obtain an analysis result and feed back the analysis result to the database.
As a preferred embodiment of the present application, the control center further includes a variable frequency analysis module;
the frequency conversion analysis module is used for receiving the information in the ore to perform frequency conversion analysis, and recording deviation information corresponding to the information parameter in the ore when any parameter in the information in the ore is not in a set normal threshold value; calculating the deviation information to obtain a power regulation and control coefficient; and comparing the power regulation and control coefficient with a set corresponding threshold value, if the power regulation and control coefficient is in the set normal threshold value, sending the power regulation and control coefficient to the equipment regulation and control module, regulating and controlling the driving power of the equipment by the equipment regulation and control module, and if the power regulation and control coefficient is larger than the set normal threshold value, generating an in-mine anti-wind strategy.
As a preferred embodiment of the present application, the specific process of performing the diagnostic processing operation by the diagnostic processing module is as follows:
acquiring staff corresponding to the corresponding strategy; feeding back an information acquisition instruction to an intelligent terminal of a worker to obtain personal data of the worker, and carrying out capability analysis on the personal data to obtain a capability value of the worker; the staff with the largest capacity value is marked as maintenance staff.
As a preferred embodiment of the present application, the policy processing module is configured to receive a corresponding policy, so as to execute a processing operation of the corresponding policy, and the specific process is as follows:
the policy processing module is used for receiving the corresponding policy to execute the processing operation of the corresponding policy, and the specific process is as follows:
when the equipment inspection strategy is received, the equipment inspection strategy, the corresponding number, the position and the inspection sequence list of the equipment are sent to an intelligent terminal of a maintainer; a maintainer checks the inspection sequence list through the intelligent terminal, and sequentially inspects and overhauls corresponding equipment according to the sequence in the inspection sequence list; the inspection times of the feedback equipment are increased once and recorded in the equipment management information;
when receiving the equipment maintenance strategy or the part maintenance strategy, sending the equipment maintenance strategy or the part maintenance strategy and the corresponding equipment/part number, position and part maintenance list to an intelligent terminal of a maintainer; a maintenance person checks the part maintenance list through the intelligent terminal, and sequentially checks or maintains corresponding parts according to the sequence of the parts in the part maintenance list; the overhaul times of the feedback equipment and the parts are increased once respectively and recorded in the equipment management information and the equipment maintenance information respectively; and feeding back the result to the database after the processing operation of the corresponding strategy is completed.
Compared with the prior art, the application has the beneficial effects that:
1. the system can realize comprehensive monitoring, real-time data acquisition and analysis of the ventilation system, thereby realizing control and promotion of mine ventilation quality, simultaneously helping enterprise management personnel to realize maintenance management of equipment, formulation and execution of inspection plans, control of energy consumption and the like, promoting production efficiency and economic benefit of the ventilator on mining areas, and reducing operation cost and safety risk.
2. According to the application, the equipment diagnosis module and the equipment information are used for carrying out diagnosis analysis to obtain the abnormality indexes corresponding to the parameters, the abnormality indexes corresponding to the parameters are obtained from the rules of the equipment information, potential problems of the parameters are found in time, corresponding measures are taken, the parameters are maintained in advance when the problems possibly occur in the equipment, the probability of equipment damage is reduced, and the service life of the equipment is prolonged;
3. according to the application, various information is analyzed, counted and processed through the comprehensive management unit, a device inspection strategy and a part maintenance strategy are generated, and maintenance and overhaul are performed in advance before problems occur on the devices/parts, so that the use efficiency is improved, corresponding reports and charts are formed, decision basis is conveniently provided for management staff, comprehensive management and monitoring of the mine ventilator are realized, the control level and the production efficiency of the ventilation system are improved, the safety and the stability are ensured, and the operation cost and the safety risk are reduced.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of a system for integrated management of a mining ventilator in accordance with the present application;
FIG. 2 is a schematic block diagram of a comprehensive management unit of a comprehensive management system for a mining ventilator of the present application;
fig. 3 is a graph of integrated parameters for an integrated management system for a mining ventilator according to the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1-3, a comprehensive management system for a mine ventilator comprises an in-mine acquisition module and a control center, wherein a comprehensive management unit is arranged in the control center;
the in-mine acquisition module acquires in-mine information and equipment information in real time through the sensor and the data acquisition device and sends the in-mine information and the equipment information to the equipment diagnosis module;
the control center receives and stores the information in the mine and the equipment information; accessing all stored information and displaying; performing diagnostic analysis on the equipment information, and recording abnormal information corresponding to the parameters when any parameter in the equipment information is not in a set normal threshold value; calculating the abnormality information to obtain an abnormality index corresponding to the parameter; when the abnormality index corresponding to the parameter is not in the set normal threshold value, obtaining an abnormality strategy corresponding to the parameter; carrying out variable frequency analysis on the information in the mine to generate a power regulation and control coefficient and sending the power regulation and control coefficient to the equipment regulation and control module, wherein the equipment regulation and control module regulates and controls the driving power of the equipment; comparing the power regulation and control coefficient with a set corresponding threshold value, if the power regulation and control coefficient is in a set normal threshold value, sending the power regulation and control coefficient to an equipment regulation and control module, regulating and controlling the driving power of equipment by the equipment regulation and control module, and if the power regulation and control coefficient is larger than the set normal threshold value, generating an in-mine anti-wind strategy;
the comprehensive management unit is used for processing the abnormal indexes corresponding to all the parameters to obtain an abnormal total value; if the abnormal total value is larger than the corresponding abnormal total threshold value, generating an equipment maintenance strategy; performing equipment analysis on the equipment management information to generate a set pipe value of the equipment; summing the set pipe values of all the devices and taking the average value of the sum as the set average value; when the set pipe value is not in the corresponding normal threshold value or 0, or the set average value is not in the preset threshold value, generating an equipment inspection strategy; performing maintenance analysis on the equipment maintenance information to obtain a maintenance loss value of the part; if the maintenance loss value is not in the set corresponding threshold value, generating a part maintenance strategy of the equipment; counting and analyzing the information in the mine, the equipment information, the equipment management information, the equipment maintenance information and the equipment energy consumption information to generate an analysis result, and displaying the analysis result in a form of a report form and a chart;
the strategy processing module is used for receiving the corresponding strategy to execute the processing operation of the corresponding strategy; and feeding back to the database after the processing operation of the corresponding strategy is completed.
In the application, the control center comprises a database, an equipment diagnosis module and a diagnosis processing module;
the database is used for receiving and storing the information in the mine and the equipment information;
the user interaction module is used for accessing and displaying information stored in the database;
the equipment diagnosis module is used for performing diagnosis analysis on the equipment information, and when any parameter in the equipment information is usedIf the normal threshold value is not set, recording abnormal information corresponding to the parameter; wherein the equipment information comprises voltage, current, rotating speed, power, bearing temperature, stator temperature and vibration information of the equipment, the vibration information comprises vibration frequencies in horizontal, vertical and axial directions, and the abnormality information comprises abnormal over-high and under-peak values corresponding to parameters, corresponding abnormal times and abnormal duration, and is respectively marked as YC1 max i 、YC2 max i With YC3 max i And YC1 min i 、YC2 min i With YC3 min i The method comprises the steps of carrying out a first treatment on the surface of the Calculating the abnormal information by using a formulaYC i ＝YC max i +YC min i Obtaining the abnormality corresponding to the parameter
Index YC i The method comprises the steps of carrying out a first treatment on the surface of the According to the formula, the higher the abnormality is, the higher the peak value is, the more the corresponding abnormality times are, and the longer the abnormality time is, the larger the parameter abnormality index is, and the larger the probability of the parameter occurrence problem is indicated; wherein a1, a2, a3, a4, a5 and a6 respectively represent the weight influence factors YC corresponding to the abnormal too high and too low peaks corresponding to the parameters, the corresponding abnormal times and abnormal time periods i Representing an abnormality index corresponding to the ith moment parameter in the ith preset time zone; when the abnormality index corresponding to the parameter is not in the set normal threshold value, obtaining an abnormality strategy corresponding to the parameter; the abnormal strategy is used for triggering the controller to carry out corresponding abnormal fault alarm and sending the alarm to the diagnosis processing module;
the diagnosis processing module is used for receiving the corresponding strategy to perform diagnosis processing operation so as to obtain corresponding maintenance personnel, and sending the corresponding strategy and the number and the position of the corresponding parameter to an intelligent terminal of the maintenance personnel; after the maintenance personnel receives the abnormal strategy, the number and the position of the corresponding parameter through the intelligent terminal, the corresponding parameter is processed, and the maintenance times are increased once and recorded in the equipment maintenance information.
In the application, the control center is also provided with a comprehensive diagnosis module;
the comprehensive diagnosis module is used for receiving the abnormal indexes corresponding to all the parameters and carrying out normalization calculation on the abnormal indexes corresponding to all the parameters to obtain a comprehensive value YZ; screening the comprehensive values, marking the comprehensive values larger than the comprehensive threshold as excessive values YZ1, recording the duration and the number of times of the excessive values as excessive duration YZ2 and excessive number YZ3 respectively, constructing a comprehensive parameter graph, and calculating the excessive values, the corresponding excessive duration and excessive number of timesTo obtain an outlier YZ j The method comprises the steps of carrying out a first treatment on the surface of the Wherein b1, b2 and b3 respectively represent the excess value, the corresponding excess time length and the corresponding weight influence factor corresponding to the excess times, YZ j An abnormal value representing a J-th time in a time zone corresponding to the J-th excess time; summing all abnormal values in all preset time zones and utilizing a formulaTo obtain an outlier value YZZ p The method comprises the steps of carrying out a first treatment on the surface of the Therein, YZZ p Indicating the accumulated sum of all outliers within the specified preset time zone P at the P-th time; comparing the abnormal total value with a corresponding abnormal total threshold value, and if the abnormal total value is larger than the corresponding abnormal total threshold value, generating an equipment maintenance strategy; the number of overhauls of the equipment is increased once and recorded in the equipment management record.
It should be noted that, through analyzing the abnormal indexes corresponding to all the parameters lost by the comprehensive diagnosis module, the abnormal indexes corresponding to all the parameters are summed up to obtain an abnormal total value so as to judge the probability that the whole problem of the equipment is likely to occur, when the probability is greater than a certain value, an equipment maintenance strategy is generated and sent to the intelligent terminal of the most suitable maintenance personnel, the maintenance personnel timely carry out maintenance on the equipment according to the corresponding list, the possible problem is treated in advance, the probability of the equipment to send faults is reduced, and the production efficiency is ensured.
In the application, the comprehensive management unit comprises an equipment management module, a maintenance management module, an energy management module and a report statistics module;
the device management module is used for extracting device management information in the database to perform device analysis, acquiring the maintenance time of the device closest to the current time, marking the maintenance time as a first time, and marking the installation time of the device as the first time if the first time is not available; performing time difference calculation on the first time and the current time to obtain corresponding undetected duration; acquiring a patrol time length threshold corresponding to the equipment, and subtracting the undetected time length from the patrol time length threshold to obtain an undetected difference time length YE1; acquiring the corresponding inspection times and maintenance times of the equipment within the inspection time threshold at the current moment, marking the inspection times and the maintenance times as YE2 and YE3 respectively, and calculating YE1, YE2 and YE3To generate a setpoint value YE for the device; wherein c1, c2 and c3 respectively represent the non-difference time length, the inspection times and the weight influence factors corresponding to the maintenance times corresponding to the equipment; summing the set pipe values of all the devices and taking the average value of the sum as the set average value; when the set pipe value is not in the corresponding normal threshold value or 0, or the set average value is not in the preset threshold value, generating an equipment inspection strategy; acquiring set pipe values of all the devices, and sorting according to the sizes of the set pipe values to generate a patrol order list;
the maintenance management module is used for extracting equipment maintenance information in the database to carry out maintenance analysis, wherein the equipment maintenance records comprise overhaul times, current use duration and replacement times of the parts and are respectively marked as RT1, RT2 and RT3; calculating rt=rt1×d1+rt2×d2+rt3×d3 for RT1, RT2 and RT3 to obtain a dimension loss value RT of the part; comparing the maintenance loss value with a set corresponding threshold value, and if the maintenance loss value is not in the set corresponding threshold value, generating a part maintenance strategy of the equipment; obtaining maintenance values of all parts on corresponding equipment, and sorting according to the size of the maintenance values to generate a part maintenance list;
the energy management module is used for extracting equipment energy consumption information in the database to perform energy analysis and extracting the equipment energy consumption informationThe power, the working time length and the corresponding air quantity of the equipment are respectively marked as DQ1, DQ2 and DQ3, and the abnormal index YC corresponding to the bearing temperature, the stator temperature and the vibration information is obtained i And labeled YC1 respectively i 、YC2 i 、YC3 i The method comprises the steps of carrying out a first treatment on the surface of the For DQ1, DQ2, DQ3 and YC1 i 、YC2 i 、YC3 i Respectively calculateDq=dq' -DQ "to obtain the energy consumption value DQ; wherein x1, x2 and x3 respectively represent power influence factors corresponding to bearing temperature, stator temperature and vibration information;
the report statistics module adopts a data visualization tool to carry out statistics and analysis on the in-mine information, the equipment management information, the equipment maintenance information and the equipment energy consumption information in the database, acquires the inspection times, the overhaul times and the non-inspection time length of corresponding equipment to generate an equipment management statistics report, the overhaul times, the current use time length and the replacement times of corresponding parts to generate an equipment maintenance statistics report, and the corresponding acquisition time and the energy consumption value to generate an equipment energy consumption trend graph, and the in-mine information, the real-time curve graph and the historical curve graph corresponding to the in-equipment information, the equipment management statistics report, the equipment maintenance statistics report and the equipment energy consumption trend graph are integrated into analysis results, and are sent to the user interaction module and fed back to the database; the database transmits the analysis result to the user interaction module and displays the analysis result in the form of a report form and a chart; among other things, data visualization tools include Tableau, power BI, google Data Studio, and the like.
The equipment management module analyzes the equipment management information to obtain an equipment inspection strategy, inspect all ventilators in the mining area, and reduce the failure probability of the ventilators; the maintenance management module is used for carrying out maintenance analysis on the equipment maintenance information to obtain a part maintenance strategy, and corresponding parts are sequentially checked or maintained according to the sequence of the parts in the part maintenance list, so that the probability of equipment part damage is reduced; analyzing and counting various information through a report counting module to form a corresponding report and a chart so as to provide decision basis for management personnel conveniently; the comprehensive management and monitoring of the mine ventilator are realized, the control level and the production efficiency of the ventilation system are improved, the safety and the stability are ensured, and the operation cost and the safety risk are reduced.
In the application, the control center also comprises a frequency analysis module;
the frequency conversion analysis module is used for receiving the information in the ore to perform frequency conversion analysis, and recording deviation information corresponding to the information parameter in the ore when any parameter in the information in the ore is not in a set normal threshold value; wherein the information in the mine comprises gas, coal dust concentration, ambient temperature, humidity, wind speed and wind pressure, the deviation information comprises all abnormal over-high and over-low values of parameters, corresponding abnormal time length and interval average value, and the abnormal time length and the interval average value are respectively marked as HU1 max 、HU2 max With HU3 max And HU1 min 、HU2 min With HU3 min The method comprises the steps of carrying out a first treatment on the surface of the The abnormal time length represents the time length sum value between the initial time and the ending time of the acquisition of all abnormal over-high and over-low values, and the interval average value represents the interval time length average value between all adjacent abnormal time lengths; calculating deviation informationObtaining a power regulation coefficient HU; wherein z1, z2, z3, z4, z5 and z6 are weight influence factors corresponding to all abnormal over-high and over-low values of the parameters, corresponding abnormal time length and interval mean value respectively; and comparing the power regulation and control coefficient with a set corresponding threshold value, if the power regulation and control coefficient is in the set normal threshold value, sending the power regulation and control coefficient to the equipment regulation and control module, regulating and controlling the driving power of the equipment by the equipment regulation and control module, and if the power regulation and control coefficient is larger than the set normal threshold value, generating an in-mine anti-wind strategy.
It should be noted that, the in-mine air reversing strategy is already the prior art, and dirty air in the mine is discharged by reversing the rotation direction of the ventilator, and meanwhile, fresh air is introduced, so that redundant description is omitted; the intelligent algorithm is adopted to analyze the information in the mine through the frequency conversion analysis module so as to obtain a power regulation and control coefficient, and the driving power of the ventilator is subjected to frequency conversion regulation, so that the driving power of the ventilator is controlled according to the actual ventilation requirement, the functions of saving energy, reducing consumption and improving efficiency are achieved, and the control precision and efficiency of the mine ventilator are improved.
In the application, the specific process of the diagnosis processing operation performed by the diagnosis processing module is as follows:
acquiring staff corresponding to the corresponding strategy; feeding back an information acquisition instruction to an intelligent terminal of the staff to obtain the current position and working state of the staff; wherein the working state comprises an idle state and a busy state; acquiring an idle-state staff, calculating the distance between the idle-state staff and the positions of equipment and parts corresponding to the corresponding strategies to obtain a maintenance distance, and marking the maintenance distance as GC1;
acquiring the total monthly treatment times and treatment success rate of staff and marking the total monthly treatment times and the treatment success rate as GC2 and GC3 respectively; the processing success rate is the ratio of all processing times of the staff to the successful processing times; calculation of GC1, GC2 and GC3Obtaining a personal value GC; wherein g1, g2 and g3 respectively represent weight influence factors of dimension adjustment distance, total treatment times in the month and treatment success rate of staff; the staff with the largest capacity value is marked as maintenance staff.
The diagnosis processing module is used for performing diagnosis processing operation so as to screen out maintenance personnel most suitable for the equipment from all working personnel in an idle state.
The policy processing module is used for receiving the corresponding policy to execute the processing operation of the corresponding policy, and the specific process is as follows:
when the equipment inspection strategy is received, the equipment inspection strategy, the corresponding number, the position and the inspection sequence list of the equipment are sent to an intelligent terminal of a maintainer; a maintainer checks the inspection sequence list through the intelligent terminal, and sequentially inspects and overhauls corresponding equipment according to the sequence in the inspection sequence list; after the inspection and maintenance are finished, the inspection times of the feedback equipment are increased once and recorded in the equipment management information;
when receiving the equipment maintenance strategy or the part maintenance strategy, sending the equipment maintenance strategy or the part maintenance strategy and the corresponding equipment/part number, position and part maintenance list to an intelligent terminal of a maintainer; a maintenance person checks the part maintenance list through the intelligent terminal, and sequentially checks or maintains corresponding parts according to the sequence of the parts in the part maintenance list; after the parts are inspected or maintained, the overhaul times of the feedback equipment and the parts are increased once, and the overhaul times are respectively recorded in the equipment management information and the equipment maintenance information.
It should be noted that, the policy processing module receives the corresponding policy to execute the corresponding measures, and sends the corresponding equipment/part number, position and corresponding list to the intelligent terminal of the maintainer, so that the maintainer can check the intelligent terminal to quickly know the equipment condition, thereby facilitating the maintainer to check the potential problems of the equipment.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The comprehensive management system for the mine ventilator is characterized by comprising an in-mine acquisition module, a control center and a strategy processing module, wherein a comprehensive management unit is arranged in the control center and comprises an equipment management module and a maintenance management module;
the in-mine acquisition module acquires in-mine information and equipment information in real time through the sensor and the data acquisition device and sends the in-mine information and the equipment information to the equipment diagnosis module;
the control center comprises a database, a user interaction module, an equipment diagnosis module, a diagnosis processing module, a comprehensive diagnosis module and a frequency analysis module;
the database is used for receiving and storing the information in the mine and the equipment information;
the user interaction module is used for accessing and displaying information stored in the database;
the equipment diagnosis module is used for carrying out diagnosis analysis on the equipment information, and when any parameter in the equipment information is not in a set normal threshold value, the abnormal information corresponding to the parameter is recorded; wherein the equipment information comprises voltage, current, rotating speed, power, bearing temperature, stator temperature and vibration information of the equipment, the vibration information comprises vibration frequencies in horizontal, vertical and axial directions, and the abnormality information comprises abnormal over-high and under-peak values corresponding to parameters, corresponding abnormal times and abnormal duration, and is respectively marked as YC1 max i 、YC2 max i With YC3 max i And YC1 min i 、YC2 min i With YC3 min i The method comprises the steps of carrying out a first treatment on the surface of the Calculating the abnormal information by using a formulaYC i ＝YC max i +YC min i Obtaining an abnormality index YC corresponding to the parameter i The method comprises the steps of carrying out a first treatment on the surface of the According to the formula, the higher the abnormality is, the higher the peak value is, the more the corresponding abnormality times are, and the longer the abnormality time is, the larger the parameter abnormality index is, and the larger the probability of the parameter occurrence problem is indicated; wherein a1, a2, a3, a4, a5 and a6 respectively represent the weight influence factors YC corresponding to the abnormal too high and too low peaks corresponding to the parameters, the corresponding abnormal times and abnormal time periods i Representing an abnormality index corresponding to the ith moment parameter in the ith preset time zone; when the abnormality index corresponding to the parameter is not in the set normal threshold value, obtaining an abnormality strategy corresponding to the parameter; the abnormal strategy is used for triggering the controller to carry out corresponding abnormal fault alarm and sending the alarm to the diagnosis processing module;
the diagnosis processing module is used for receiving the corresponding strategy to perform diagnosis processing operation to obtain corresponding maintenance personnel, and sending the corresponding strategy and the serial numbers and the positions of the corresponding parameters to the intelligent terminal of the maintenance personnel; after receiving the abnormal strategy, the serial numbers and the positions of the corresponding parameters through the intelligent terminal, the maintainer processes the corresponding parameters, and the maintenance times are increased once and recorded in the equipment maintenance information;
the comprehensive diagnosis module is used for receiving the abnormal indexes corresponding to all the parameters and carrying out normalization calculation on the abnormal indexes corresponding to all the parameters to obtain a comprehensive value YZ; screening the comprehensive values, marking the comprehensive values larger than the comprehensive threshold as excessive values YZ1, recording the duration and the number of times of the excessive values as excessive duration YZ2 and excessive number YZ3 respectively, constructing a comprehensive parameter graph, and calculating the excessive values, the corresponding excessive duration and excessive number of timesTo obtain an outlier YZ j The method comprises the steps of carrying out a first treatment on the surface of the Wherein b1, b2 and b3 respectively represent the excess value, the corresponding excess time length and the corresponding weight influence factor corresponding to the excess times, YZ j An abnormal value representing a J-th time in a time zone corresponding to the J-th excess time; summing all abnormal values in all preset time zones and utilizing a formulaTo obtain an outlier value YZZ p The method comprises the steps of carrying out a first treatment on the surface of the Therein, YZZ p Indicating the accumulated sum of all outliers within the specified preset time zone P at the P-th time; comparing the abnormal total value with a corresponding abnormal total threshold value, and if the abnormal total value is larger than the corresponding abnormal total threshold value, generating an equipment maintenance strategy; the overhaul frequency of the equipment is increased once and recorded in an equipment management record;
the frequency conversion analysis module is used for receiving the information in the ore to perform frequency conversion analysis, and recording deviation information corresponding to the information parameter in the ore when any parameter in the information in the ore is not in a set normal threshold value; wherein the information in the mine comprises gas, coal dust concentration, ambient temperature, humidity, wind speed and wind pressure, the deviation information comprises all abnormal over-high and over-low values of parameters, corresponding abnormal time length and interval average value, and the abnormal time length and the interval average value are respectively marked as HU1 max 、HU2 max With HU3 max And HU1 min 、HU2 min With HU3 min The method comprises the steps of carrying out a first treatment on the surface of the The abnormal time length represents the time length sum value between the initial time and the ending time of the acquisition of all abnormal over-high and over-low values, and the interval average value represents the interval time length average value between all adjacent abnormal time lengths; calculating deviation informationObtaining a power regulation coefficient HU; wherein z1, z2, z3, z4, z5 and z6 are weight influence factors corresponding to all abnormal over-high and over-low values of the parameters, corresponding abnormal time length and interval mean value respectively; comparing the power regulation and control coefficient with a set corresponding threshold value, if the power regulation and control coefficient is in a set normal threshold value, sending the power regulation and control coefficient to an equipment regulation and control module, regulating and controlling the driving power of equipment by the equipment regulation and control module, and if the power regulation and control coefficient is larger than the set normal threshold value, generating an in-mine anti-wind strategy;
the device management module is used for extracting device management information in the database to perform device analysis, acquiring the maintenance time of the device nearest to the current time, marking the maintenance time as a first time, and marking the installation time of the device as the first time if the first time is not available; performing time difference calculation on the first time and the current time to obtain corresponding undetected duration; acquiring a patrol time length threshold corresponding to the equipment, and subtracting the undetected time length from the patrol time length threshold to obtain an undetected difference time length YE1; acquiring the corresponding inspection times and maintenance times of the equipment within the inspection time threshold at the current moment, marking the inspection times and the maintenance times as YE2 and YE3 respectively, and calculating YE1, YE2 and YE3To generate a setpoint value YE for the device; wherein c1, c2 and c3 respectively represent the non-difference time length, the inspection times and the weight influence factors corresponding to the maintenance times corresponding to the equipment; summing the set pipe values of all the devices and taking the average value of the sum as the set average value; when the set pipe value is not in the corresponding normal threshold value or 0, or the set average value is not in the preset threshold value, generating an equipment inspection strategy; acquiring all devicesThe prepared tube setting values are sequenced according to the tube setting values to generate a patrol order list;
the maintenance management module is used for extracting equipment maintenance information in the database to carry out maintenance analysis, wherein equipment maintenance records comprise overhaul times, current use duration and replacement times of parts and are respectively marked as RT1, RT2 and RT3; calculating rt=rt1×d1+rt2×d2+rt3×d3 for RT1, RT2 and RT3 to obtain a dimension loss value RT of the part; comparing the maintenance loss value with a set corresponding threshold value, and if the maintenance loss value is not in the set corresponding threshold value, generating a part maintenance strategy of the equipment; obtaining maintenance values of all parts on corresponding equipment, and sorting according to the size of the maintenance values to generate a part maintenance list;
the strategy processing module is used for receiving the corresponding strategy to execute the processing operation of the corresponding strategy; and feeding back to the database after the processing operation of the corresponding strategy is completed.
2. The integrated management system for a mine ventilator of claim 1, wherein the integrated management unit comprises an energy management module and a report statistics module;
the energy management module is used for extracting equipment energy consumption information in the database to perform energy analysis so as to obtain an energy consumption value;
and the report statistics module adopts a data visualization tool to carry out statistics and analysis on the in-mine information, the equipment management information, the equipment maintenance information and the equipment energy consumption information in the database so as to obtain an analysis result and feed back the analysis result to the database.
3. The integrated management system for a mine ventilator of claim 2, wherein the diagnostic processing module performs the diagnostic processing operations as follows:
acquiring staff corresponding to the corresponding strategy; feeding back an information acquisition instruction to an intelligent terminal of a worker to obtain personal data of the worker, and carrying out capability analysis on the personal data to obtain a capability value of the worker; the staff with the largest capacity value is marked as maintenance staff.
4. The integrated management system for a mine ventilator according to claim 1, wherein the policy processing module is configured to receive a corresponding policy, so as to execute a processing operation of the corresponding policy, and the specific process is as follows:
the policy processing module is used for receiving the corresponding policy to execute the processing operation of the corresponding policy, and the specific process is as follows:
when the equipment inspection strategy is received, the equipment inspection strategy, the corresponding number, the position and the inspection sequence list of the equipment are sent to an intelligent terminal of a maintainer; a maintainer checks the inspection sequence list through the intelligent terminal, and sequentially inspects and overhauls corresponding equipment according to the sequence in the inspection sequence list; the inspection times of the feedback equipment are increased once and recorded in the equipment management information;
when receiving the equipment maintenance strategy or the part maintenance strategy, sending the equipment maintenance strategy or the part maintenance strategy and the corresponding equipment/part number, position and part maintenance list to an intelligent terminal of a maintainer; a maintenance person checks the part maintenance list through the intelligent terminal, and sequentially checks or maintains corresponding parts according to the sequence of the parts in the part maintenance list; the overhaul times of the feedback equipment and the parts are increased once respectively and recorded in the equipment management information and the equipment maintenance information respectively; and feeding back the result to the database after the processing operation of the corresponding strategy is completed.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180097030A (en) * | 2017-02-22 | 2018-08-30 | (주)브이엠에스 | Integrated management system and method of tunnel ventilation fan |
| CN110259499A (en) * | 2019-07-22 | 2019-09-20 | 中国计量大学 | A kind of mine different location multi fan combined operating operating condition adjusting method |
| CN112177661A (en) * | 2020-08-28 | 2021-01-05 | 中国矿业大学 | Accurate monitoring and abnormity early warning system and method for local ventilation parameters of coal mine |
| CN112731889A (en) * | 2021-01-18 | 2021-04-30 | 太原理工大学 | Intelligent air regulation management system and regulation and control method thereof |
| CN115949468A (en) * | 2023-01-06 | 2023-04-11 | 安徽理工大学 | Mine ventilation influence prediction system based on data analysis |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8884760B2 (en) * | 2012-07-20 | 2014-11-11 | American Mine Door Co. | Control system for mine ventilation door |
-
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- 2023-05-05 CN CN202310491377.0A patent/CN116480421B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180097030A (en) * | 2017-02-22 | 2018-08-30 | (주)브이엠에스 | Integrated management system and method of tunnel ventilation fan |
| CN110259499A (en) * | 2019-07-22 | 2019-09-20 | 中国计量大学 | A kind of mine different location multi fan combined operating operating condition adjusting method |
| CN112177661A (en) * | 2020-08-28 | 2021-01-05 | 中国矿业大学 | Accurate monitoring and abnormity early warning system and method for local ventilation parameters of coal mine |
| CN112731889A (en) * | 2021-01-18 | 2021-04-30 | 太原理工大学 | Intelligent air regulation management system and regulation and control method thereof |
| CN115949468A (en) * | 2023-01-06 | 2023-04-11 | 安徽理工大学 | Mine ventilation influence prediction system based on data analysis |
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