CN105370609A - Intelligent control system for high-altitude cluster ventilation and method thereof - Google Patents
Intelligent control system for high-altitude cluster ventilation and method thereof Download PDFInfo
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- CN105370609A CN105370609A CN201510863803.4A CN201510863803A CN105370609A CN 105370609 A CN105370609 A CN 105370609A CN 201510863803 A CN201510863803 A CN 201510863803A CN 105370609 A CN105370609 A CN 105370609A
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Abstract
The invention relates to an intelligent control system for high-altitude cluster ventilation and a method thereof. According to existing tunnel ventilation control systems, the efficiency of personnel is low, and the misjudgment rate of the starting condition of fans is high. According to the method, a fan state collection module collects the information of fan parameters, and a user data module carries out compilation and reduction; a data analysis and comparison module carries out comparative analysis according to the information provided by the user data module, a parameter setting module and a standard database; a data prediction management module receives the comparative analysis information, automatically learns prediction and generates operation orders according to the actual running conditions of trains and the environment change, adjusts parameter setting, corrects the database and transmits results to a result output module. According to the invention, the ventilation system data are compared, tunnel fan equipment operation is reasonably controlled according to the train operation data, parameter setting adjustment and database correction are carried out in a feedback mode, the optimal ventilation and energy conversation effect is realized, the influence to a railway power supply and distribution network is lowered, the labor intensity of personnel is lowered, and the energy-saving operation is realized to the maximum degree.
Description
Technical field
The invention belongs to tunnel ventilation control technique field, be specifically related to a kind of High aititude cluster ventilation intelligent control system and method thereof.
Background technique
The High aititude diesel traction tunnel operation of concentrating type distribution, there is fan capacity large, during startup, railway supply and distribution network is impacted and affect the problems such as serious, but it is many to there is labor intensive resource in existing tunnel ventilated control system and method thereof, hand labor intensity is large, personnel's effect is low, environmetal impact is large, fan starting condition False Rate is high, maintenance difficulty is large and judge the problems such as reliability is not high, therefore how effectively to realize tunnel inner blower safety, reliably, effective control, reduce the impact on railway supply and distribution network simultaneously, and reduce personnel labor intensity and realize energy-saving run to greatest extent, realize information-based, digitizing, automation, interaction turns to the tunnel cluster ventilation intelligent monitor system of feature, it is the problem that High aititude diesel traction tunnel cluster ventilation system must solve.
Summary of the invention
The object of this invention is to provide a kind of High aititude cluster ventilation intelligent control system and method thereof, to the start and stop as required of tunnel blower equipment, realize optimal ventilation and energy-saving effect.
The technical solution adopted in the present invention is:
High aititude cluster ventilation intelligent control system, is characterized in that:
Described system comprises fan condition acquisition module, user data module, data analysis comparing module, parameter setting module, standard database, data prediction administration module, result output module;
Fan condition acquisition module, for gathering High aititude cluster draft fan parameter information, comprises running state, failure condition, enviromental parameter and wind speed;
User data module, concludes for the fan parameter finish message gathered by fan condition acquisition module;
Parameter setting module, for using operation and environment effect information parameters according to user;
Standard database, for the standard information in Criterion equipment, comprises Centralized Monitoring, on-line monitoring, fan operation state and enviromental parameter;
Data analysis comparing module, for the information provided according to user data module, parameter setting module, standard database, forms compare of analysis information;
Data prediction administration module, for the compare of analysis information management that data analysis comparing module inputted and according to the instruction of actual service condition automatic learning prediction generating run, for adjusting optimum configurations, revising database and being passed to result output module;
Result output module, rationally runs for entering the operating instructions control blower fan.
The controlling method of High aititude cluster ventilation intelligent control system, is characterized in that:
Comprise the following steps:
Gathered the fan parameter information of High aititude cluster draft fan by fan condition acquisition module, comprise running state, failure condition, enviromental parameter and wind speed, and input user data module and carry out summarizing;
In conjunction with the actual use operation of user and environmetal impact situation adjustment parameter setting module, parameters;
The standard database of Criterion equipment, comprises the standard information of Centralized Monitoring, on-line monitoring, fan operation state, enviromental parameter, inputs to data analysis comparing module;
The information that data analysis comparing module provides according to user data module, parameter setting module, standard database, by equipment state overhauling historical data, fan operation status data, environmental change data, railroad train service data, natural wind Piston Action Wind data information incorporating parametric arranges and standard database forms compare of analysis;
Data prediction administration module receives the compare of analysis information of data analysis comparing module input, according to true train travel situations and the instruction of environmental change automatic learning prediction generating run, for adjusting optimum configurations, revising database and being passed to result output module.
The present invention has the following advantages:
The invention provides a kind of High aititude cluster ventilated control system with analysis expert learning functionality, overcome the deficiency that prior art exists, carry out rationalization to tunnel blower to control, realize optimal ventilation and energy-saving effect, ensure the stable operation of railways facility, improve tunnel ventilation quality and efficiency, ensure that tunnel ventilation is safe and reliable.
Accompanying drawing explanation
Fig. 1 is present system structural drawing.
Embodiment
Below in conjunction with embodiment, the present invention will be described in detail.
The High aititude cluster ventilation intelligent control system that the present invention relates to, comprises fan condition acquisition module, user data module, data analysis comparing module, parameter setting module, standard database, data prediction administration module, result output module.
Fan condition acquisition module, for gathering High aititude cluster draft fan fan parameter information, comprise running state (data such as voltage, electric current, frequency, working time and period waveform change), failure condition (data such as voltage, current break, time out of service, device temperature), enviromental parameter (data such as gas content such as content of material, sulfur dioxide, oxygen, carbon monoxide such as ambient temperature, appropriateness, dust), wind speed;
User data module, concludes for the fan parameter finish message gathered by fan condition acquisition module;
Parameter setting module, for using operation and environment effect information parameters according to user, user arranges the threshold parameter of start and stop blower fan according to factors such as altitude, railway operation arrangement of time, ambient temperature, wind speed and seasons;
Standard database, for the standard information in Criterion equipment, comprise Centralized Monitoring (according to railway operation time situation, for the running state through blower fan Centralized Monitoring blower fan along the line, comprise the start-stop time, voltage x current, frequency, ambient temperature, wind speed, sulfur dioxide in High aititude tunnel, oxygen, the gas contents such as carbon monoxide, and Criterion information, when reaching level threshold value then centralized control fan operation), (operator can remote on-line monitoring fan operation situation in on-line monitoring, and on line control, tackle on-the-spot emergency case and needed start and stop blower fan), fan operation state (voltage, electric current, frequency, working time and period waveform change) and enviromental parameter (ambient temperature, appropriateness, the content of material such as dust, sulfur dioxide, oxygen, the gas contents such as carbon monoxide),
Data analysis comparing module, for the information provided according to user data module, parameter setting module, standard database, forms compare of analysis information; By the blower fan start and stop threshold parameter of user according to railway operation requirements set, comprise the gas contents such as content of material, sulfur dioxide, oxygen, carbon monoxide such as the voltage of blower fan, current break, time out of service, device temperature parameter, ambient temperature, appropriateness, dust, with the above-mentioned parameter compare of analysis of standard state, reaching or under setting threshold condition, start stop operation is being carried out to blower fan;
Data prediction administration module, for compare of analysis information management that data analysis comparing module is inputted and according to actual service condition automatic learning prediction (the compare of analysis information that upper level is generated and actual railway run in blower fan start and stop state, voltage x current, enviromental parameter combines, if default start and stop runnability is consistent with actual conditions, then maintain existing operating mode, if inconsistent with actual conditions, analyze blower fan start and stop situation and actual deviation, prediction to start before setting value in advance or to start afterwards, fall-back, high speed operation, and change information is fed back higher level and carry out parameters revision, system is made more to meet rule and the environmental change situation of railroad train process) generating run instruction is (to blower fan fall-back, high speed operation or startup, stop), for adjusting optimum configurations, revise database and be passed to result output module,
Result output module, rationally runs for entering the operating instructions control blower fan.
The controlling method of above-mentioned High aititude cluster ventilation intelligent control system, comprises the following steps:
Gathered the fan parameter information of High aititude cluster draft fan by fan condition acquisition module, comprise running state, failure condition, enviromental parameter, Current Voltage and wind speed, and input user data module and carry out summarizing;
In conjunction with the actual use operation of user and environmetal impact situation adjustment parameter setting module, parameters;
The standard database of Criterion equipment, comprises the standard information of Centralized Monitoring, on-line monitoring, fan operation state, enviromental parameter, inputs to data analysis comparing module;
The information that data analysis comparing module provides according to user data module, parameter setting module, standard database, by equipment state overhauling historical data, fan operation status data, environmental change data, railroad train service data, natural wind Piston Action Wind data information incorporating parametric arranges and standard database forms compare of analysis;
Data prediction administration module receives the compare of analysis information of data analysis comparing module input, according to true train travel situations and the instruction of environmental change automatic learning prediction generating run, for adjusting optimum configurations, revising database and being passed to result output module.
The High aititude diesel traction tunnel operation of concentrating type distribution, exist fan capacity large, the problems such as impact is serious are impacted on railway supply and distribution network when starting, but existing tunnel ventilated control system and method thereof exist, and labor intensive resource is many, hand labor intensity large, personnel's effect is low, environmetal impact is large, fan starting condition False Rate is high, maintenance difficulty is large and judge the problems such as reliability is not high.
In the face of these problems, by user according to altitude, railway operation arrangement of time, ambient temperature, wind speed and season etc., factor arranged the threshold parameter of start and stop blower fan, with the start-stop time in canonical parameter, voltage x current, frequency, ambient temperature, wind speed, sulfur dioxide in High aititude tunnel, oxygen, the gas contents such as carbon monoxide compare, blower fan start and stop state during the compare of analysis information generate upper level and actual railway run, voltage x current, enviromental parameter combines, if default start and stop runnability is consistent with actual conditions, then maintain existing operating mode, if inconsistent with actual conditions, analyze blower fan start and stop situation and actual deviation, prediction to start before setting value in advance or to start afterwards, fall-back, high speed operation, blower fan is made to obtain Centralized Monitoring, improve operational efficiency, more meet rule and the environmental change situation of railroad train process, reduce the energy consumption of the weak electrical network in high altitude localities.
And operator can remote on-line monitoring blower fan and railway operation situation, and on line control blower fan is concentrated and is run, and has tackled the situation that on-the-spot accident (as out of service in tunnel in train, terrible weather generation etc.) needs start and stop blower fan.
Therefore how effectively to realize the safe, reliable and effective control of tunnel inner blower, reduce the impact on railway supply and distribution network simultaneously, and reduce personnel labor intensity and realize energy-saving run to greatest extent, realize informationization, tunnel cluster ventilation intelligent monitor system that digitizing, automation, interaction turn to feature, be the problem that High aititude diesel traction tunnel cluster ventilation system must solve.
Content of the present invention is not limited to cited by embodiment, and the conversion of those of ordinary skill in the art by reading specification of the present invention to any equivalence that technical solution of the present invention is taked, is claim of the present invention and contains.
Claims (2)
1. High aititude cluster ventilation intelligent control system, is characterized in that:
Described system comprises fan condition acquisition module, user data module, data analysis comparing module, parameter setting module, standard database, data prediction administration module, result output module;
Fan condition acquisition module, for gathering High aititude cluster draft fan parameter information, comprises running state, failure condition, enviromental parameter and wind speed;
User data module, concludes for the fan parameter finish message gathered by fan condition acquisition module;
Parameter setting module, for using operation and environment effect information parameters according to user;
Standard database, for the standard information in Criterion equipment, comprises Centralized Monitoring, on-line monitoring, fan operation state and enviromental parameter;
Data analysis comparing module, for the information provided according to user data module, parameter setting module, standard database, forms compare of analysis information;
Data prediction administration module, for the compare of analysis information management that data analysis comparing module inputted and according to the instruction of actual service condition automatic learning prediction generating run, for adjusting optimum configurations, revising database and being passed to result output module;
Result output module, rationally runs for entering the operating instructions control blower fan.
2. the controlling method of High aititude cluster ventilation intelligent control system, is characterized in that:
Comprise the following steps:
Gathered the fan parameter information of High aititude cluster draft fan by fan condition acquisition module, comprise running state, failure condition, enviromental parameter and wind speed, and input user data module and carry out summarizing;
In conjunction with the actual use operation of user and environmetal impact situation adjustment parameter setting module, parameters;
The standard database of Criterion equipment, comprises the standard information of Centralized Monitoring, on-line monitoring, fan operation state, enviromental parameter, inputs to data analysis comparing module;
The information that data analysis comparing module provides according to user data module, parameter setting module, standard database, by equipment state overhauling historical data, fan operation status data, environmental change data, railroad train service data, natural wind Piston Action Wind data information incorporating parametric arranges and standard database forms compare of analysis;
Data prediction administration module receives the compare of analysis information of data analysis comparing module input, according to true train travel situations and the instruction of environmental change automatic learning prediction generating run, for adjusting optimum configurations, revising database and being passed to result output module.
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| CN109441519A (en) * | 2018-10-18 | 2019-03-08 | 谢国兵 | Environmental forecasting regulates and controls method and device in a kind of tunnel |
| CN110442018A (en) * | 2019-08-15 | 2019-11-12 | 赵亮 | Mining equipment on-off transducer self study working method |
| CN110519389A (en) * | 2019-09-03 | 2019-11-29 | 三一重机有限公司 | Parameter regulation means, device, engineering equipment and the storage medium of engineering equipment |
| CN112598209A (en) * | 2020-10-23 | 2021-04-02 | 河北新天科创新能源技术有限公司 | Evaluation and early warning method for generator heat dissipation system of wind turbine generator |
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| CN114586320A (en) * | 2019-10-14 | 2022-06-03 | 华为技术有限公司 | Network node and method for network telemetry |
| CN115620417A (en) * | 2022-12-19 | 2023-01-17 | 成都四为电子信息股份有限公司 | Automatic inspection system and method for railway tunnel electromechanical equipment |
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