CN118391294A - Unmanned on duty system in tunnel axial fan room - Google Patents

Unmanned on duty system in tunnel axial fan room Download PDF

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Publication number
CN118391294A
CN118391294A CN202410854653.XA CN202410854653A CN118391294A CN 118391294 A CN118391294 A CN 118391294A CN 202410854653 A CN202410854653 A CN 202410854653A CN 118391294 A CN118391294 A CN 118391294A
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fan room
subsystem
image
data
monitoring
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CN118391294B (en
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钟德新
傅仰潭
张瑜亮
范明泽
彭立
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Nanping Fuyin Expressway Co ltd
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Nanping Fuyin Expressway Co ltd
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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
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK 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
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK 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
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass

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  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Geology (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Alarm Systems (AREA)

Abstract

The invention relates to the technical field of intelligent monitoring, in particular to an unmanned system of a tunnel axial flow fan room, which comprises the following components: the system comprises a monitoring and monitoring subsystem, a data management and analysis subsystem, a safety protection subsystem, a detection and diagnosis subsystem, a remote monitoring and communication subsystem and an early warning receiving and transmitting subsystem; the monitoring and monitoring subsystem is utilized to acquire data of the tunnel axial flow fan room and obtain fan room data; the data management and analysis subsystem receives fan room data and obtains the basic operation condition of the fan room; the safety protection subsystem analyzes the safety performance of the wind turbine room according to the basic running condition and the wind turbine room data; the detection and diagnosis subsystem is used for detecting and diagnosing faults of the wind turbine room according to the basic operation conditions and the wind turbine room data; the remote monitoring and communication subsystem receives output signals of the safety protection subsystem and the detection and diagnosis subsystem, and regulates and controls the early warning receiving and transmitting subsystem according to the output signals.

Description

Unmanned on duty system in tunnel axial fan room
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to an unattended system of a tunnel axial flow fan room.
Background
The tunnel middle part is always provided with a vertical shaft ventilation system, but tunnel axial flow fan rooms are located in remote mountain areas, traffic is inconvenient and the environment is bad, at present, the maintenance station electrician is on duty, the domestic water and diet safety problems of the tunnel axial flow fan rooms are difficult to be properly solved, and in addition, the high risk and high cost of human resources are intense and maintenance are managed, so that the existing tunnel axial flow fan room on duty mode faces heavy challenges.
In view of the continuous perfection of mobile internet infrastructure and the rapid progress of remote industrial control technology, it is imperative to comprehensively upgrade and reform existing monitoring devices. The unmanned and informationized management of the electromechanical facilities of the ventilation system is realized through modification and upgrading, so that the shortage of human resources is effectively relieved, the management difficulty of a ventilation machine room is reduced, the operation efficiency and the safety detection level of the tunnel ventilation system are improved, a powerful technical guarantee is provided for the safety and smoothness of the expressway, and the smoothness and safety of traffic are ensured.
Disclosure of Invention
Aiming at the defects of the existing method and the requirements of practical application, in order to realize intelligent monitoring and automatic management of electromechanical facilities of a ventilation system, the existing monitoring equipment is upgraded and modified, which is favorable for reducing the pressure of human resources, reducing the complexity of management of a tunnel axial-flow fan room, obviously improving the operation efficiency of the tunnel ventilation system and enhancing the safety detection capability. In one aspect, the invention provides an unattended system of a tunnel axial flow fan room, which comprises: the system comprises a monitoring and monitoring subsystem, a data management and analysis subsystem, a safety protection subsystem, a detection and diagnosis subsystem, a remote monitoring and communication subsystem and an early warning receiving and transmitting subsystem; the monitoring and monitoring subsystem is utilized to acquire data of the tunnel axial flow fan room and obtain fan room data; the data management and analysis subsystem receives the fan room data and obtains the basic operation condition of the fan room; the safety protection subsystem analyzes the safety performance of the fan room according to the basic running condition and the fan room data; the detection and diagnosis subsystem performs fault detection and diagnosis of the fan room according to the basic running condition and the fan room data; the remote monitoring and communication subsystem receives output signals of the safety protection subsystem and the detection and diagnosis subsystem, and regulates and controls the early warning receiving and transmitting subsystem according to the output signals. . The invention improves the operation efficiency of the tunnel ventilation system based on different subsystems, ensures the safety performance of the tunnel ventilation system, reduces the operation cost and the like, and is an important technical means for modern tunnel management.
Optionally, the data management and analysis subsystem receiving the fan room data includes: setting a data optimization function in the data management and analysis subsystem; the data optimization function satisfies the following relationship:
。
Wherein, Representing after smoothingFan house data information of moment of time,A smoothing constant representing the exponential smoothing method,Representation ofThe actual data information of the wind turbine room at the moment,Representation ofInformation weighted average of time. The method and the system can effectively remove random fluctuation and noise in the fan room data, enable the data to be smoother and more stable, can more accurately reflect the actual running state of the tunnel fan room, and provide more accurate and comprehensive data basis for a manager.
Optionally, the data management and analysis subsystem receives the fan room data and obtains basic operation conditions of the fan room including; the data management and analysis subsystem optimizes the fan room data by utilizing the data optimization function and obtains fan room target data; and analyzing the basic operation condition of the fan room according to the fan room target data. The data management and analysis subsystem can more accurately analyze the basic operation condition of the wind turbine room, is beneficial to improving the intelligent level of the whole system, and realizes more efficient and safer equipment operation management.
Optionally, the safety protection subsystem analyzes the safety performance of the wind turbine room according to the basic operation condition and the wind turbine room data, including: a smoke alarm device, an access control card punching device, a water leakage detection device and an intrusion warning device are arranged in the safety protection subsystem; the smoke alarm device, the entrance guard card punching device, the water leakage detection device and the intrusion warning device analyze the safety performance of the fan room according to the basic running condition and the fan room data. The invention can monitor the safety condition of the wind turbine room in real time and in all directions through various safety monitoring devices, and improves the management efficiency of the tunnel axial flow wind turbine room through an automatic and intelligent safety monitoring means.
Optionally, the detecting and diagnosing subsystem performs fault detection and diagnosis of the wind turbine room according to the basic operation condition and the wind turbine room data, including: and setting a fan room detection target in the detection and diagnosis subsystem, wherein the fan room detection target comprises a first detection target, a second detection target, a third detection target and a fourth detection target. The invention sets a plurality of detection targets to more comprehensively cover various possible fault conditions of the fan room, and can improve the comprehensiveness of fault detection, the accuracy of diagnosis, the maintenance efficiency and the preventive maintenance effect, thereby improving the remote management level of the fan room.
Optionally, the first detection target includes an image color cast degree; the second detection target comprises a signal deletion proportion; the third detection target comprises image definition; the fourth detection target includes an image similarity. The detection target set by the invention is not only beneficial to accurately detecting possible faults in the fan room monitoring system, but also can improve the reliability and the intelligent level of the whole system, and provides technical support for the safe operation of the fan room.
Optionally, the image similarity satisfies the following relationship:
。
Wherein, Representing the similarity index of the monitored image,A reference image is represented and a reference image is represented,A monitoring image is represented and is displayed,Representing the contrast difference between the reference image and the monitored image,A duty cycle index representing the contrast of the image,Representing the difference in brightness between the reference image and the monitored image,A duty cycle index representing the brightness of the image,Representing the structural parameter differences between the reference image and the monitored image,Representing the duty cycle index of the image structure parameters. The invention not only considers the key characteristics of brightness, contrast and the like of the image, but also introduces the structural parameter difference, can evaluate the similarity degree of the monitoring image more comprehensively, is beneficial to more accurately identifying the difference between the monitoring image and the reference image, and improves the accuracy of the fault detection result.
Optionally, the detecting and diagnosing subsystem performs fault detection and diagnosis of the wind turbine room according to the basic operation condition and the wind turbine room data, including: the detection and diagnosis subsystem obtains the image color cast degree, the signal missing proportion, the image definition and the image similarity according to the basic running condition and the fan room data; and performing fault detection and diagnosis on the fan room based on the image color cast degree, the signal missing proportion, the image definition and the image similarity. The invention carries out fault detection and diagnosis of the tunnel fan room based on four key indexes of image color cast degree, signal missing proportion, image definition and image similarity, can improve diagnosis accuracy, efficiency and system stability, and provides powerful guarantee for an unmanned system of the tunnel axial flow fan room.
Optionally, the unmanned system of the tunnel axial flow fan room further comprises: configuring a remote delivery device in the detection and diagnostic subsystem; the detection and diagnosis subsystem utilizes the remote conveying device to convey an early warning signal so as to realize a wireless alarm function. According to the invention, the remote monitoring and wireless alarming function is realized through the remote monitoring and communication subsystem, so that the management efficiency of the unmanned system of the tunnel axial flow fan room can be remarkably improved, the safety risk is reduced, and the reliability of the system is improved.
Optionally, the remote monitoring and communication subsystem receives output signals of the safety protection subsystem and the detection and diagnosis subsystem, and regulates and controls the early warning transceiver subsystem according to the output signals, and the remote monitoring and communication subsystem comprises: setting a visualization device and a remote communication device in the remote monitoring and communication subsystem; the visualization device and the remote communication device regulate and control an early warning receiving and transmitting subsystem according to the output signals. According to the remote monitoring device and the remote communication device, the early warning receiving and transmitting subsystem is regulated and controlled according to the output signals, so that the real-time response capability, the management efficiency, the early warning accuracy and the intelligent level of the system are improved.
Drawings
FIG. 1 is a flow chart of an unattended system of a tunnel axial flow fan room of the invention;
FIG. 2 is a schematic diagram of a detection target of a detection and diagnosis subsystem in the unmanned system of the tunnel axial flow fan room of the present invention;
fig. 3 is a structural diagram of an unattended system of the tunnel axial flow fan room of the invention.
Detailed Description
Specific embodiments of the invention will be described in detail below, it being noted that the embodiments described herein are for illustration only and are not intended to limit the invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: no such specific details are necessary to practice the invention. In other instances, well-known circuits, software, or methods have not been described in detail in order not to obscure the invention.
Throughout the specification, references to "one embodiment," "an embodiment," "one example," or "an example" mean: a particular feature, structure, or characteristic described in connection with the embodiment or example is included within at least one embodiment of the invention. Thus, the appearances of the phrases "in one embodiment," "in an embodiment," "one example," or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Moreover, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and that the illustrations are not necessarily drawn to scale.
Referring to fig. 1, in order to ensure the operation efficiency of the tunnel axial flow fan room and meet the requirements of the informatization era, the original system equipment is upgraded and modified based on the infrastructure of the mobile internet, so that the unmanned function of the tunnel axial flow fan room is realized, the informatization level of the unmanned system is greatly improved, and the intelligent, efficient and safe unmanned system of the tunnel axial flow fan room is facilitated. The invention provides an unmanned system of a tunnel axial flow fan room, which comprises the following steps:
The unmanned system of the tunnel axial flow fan room is provided with: the system comprises a monitoring and monitoring subsystem, a data management and analysis subsystem, a safety protection subsystem, a detection and diagnosis subsystem, a remote monitoring and communication subsystem and an early warning receiving and transmitting subsystem.
S1, a monitoring and monitoring subsystem is arranged in an unattended system of a tunnel axial flow fan room, and then the monitoring and monitoring subsystem is utilized to acquire data of the tunnel axial flow fan room and obtain fan room data, wherein the concrete setting steps and implementation contents are as follows:
the monitoring subsystem is arranged in the unmanned system of the tunnel axial flow fan room, and the specific arrangement content is as follows:
In this embodiment, based on the actual conditions of the tunnel and the fan room, various sensors and monitoring devices are deployed, so that core data such as temperature, humidity, air quality and fan running state in the fan room can be obtained in real time, and in addition, an automatic control device can be additionally arranged in the monitoring and monitoring subsystem, so that remote accurate measurement and control of the axial flow fan can be realized, and flexible adjustment such as startup, shutdown and wind speed can be realized, so that the operation efficiency of the fan room is improved, and the safety and reliability of the tunnel axial flow fan room are enhanced.
The monitoring equipment of the key areas is further perfected, in an alternative embodiment, a set of fixed-remote integrated high-definition cameras are additionally arranged aiming at the monitoring blank of the outer wall of the west end of the fan workshop, meanwhile, a plurality of fixed-remote integrated monitoring cameras are additionally arranged in key areas such as a power distribution room, a generator room and a control room, so that the purpose of covering the whole area and making up the existing monitoring blind area is achieved, and dead angle-free monitoring is ensured. The monitoring and monitoring subsystem fully utilizes the high-definition video monitoring technology, realizes the whole-process high-definition processing from high-definition acquisition to high-definition coding, high-definition transmission and high-definition storage to high-definition display, relies on the advanced IP network transmission technology, not only can realize flexible scheduling and efficient management in the whole network range, but also is further integrated with intelligent application, is beneficial to creating a video image monitoring system integrating high definition, networking and intellectualization, not only improves the definition and accuracy of monitoring, but also enhances the real-time and intelligent level of monitoring, and provides scientific support for the safety management of a tunnel axial flow fan room.
The front-end monitoring equipment of the monitoring and monitoring subsystem is provided with the high-definition full-color camera, each key detail in the picture can be accurately captured, the full-color monitoring picture can be maintained even at night, the image quality leap from simulation to high definition is realized, the advanced H.265 coding technology is applied while the definition is improved, the video code stream is obviously reduced, the burden of network bandwidth is effectively lightened, the pressure of storage space is reduced, and more smooth and efficient video information is brought to an unmanned system of a tunnel axial-flow fan room.
Meanwhile, professional storage equipment is provided for the high-definition video data information, the high-definition image quality can be kept in a storage link, the monitoring and monitoring subsystem supports flexible storage expansion, the large high-definition video data can be easily handled no matter how much, long-term storage requirements are met, safety and reliability of video data are guaranteed, and more convenient and efficient data management experience is provided.
Based on various sensors, the temperature, humidity, air quality, fan running state and other data of the fan room are obtained in real time. The temperature sensor can accurately measure the ambient temperature in the fan room, is beneficial to timely knowing the temperature change condition of the fan room, and is important for the normal operation of the fan and other equipment; the humidity sensor is responsible for monitoring the humidity level in the fan room, and a proper humidity environment has important significance for preventing equipment from being wetted, rusted or generating static electricity and other problems, so that abnormal humidity conditions can be timely found and processed through the humidity sensor, and the stable operation of the fan room is ensured; the air quality sensor is used for detecting the air quality in the fan room, including but not limited to the information of harmful gas concentration, particulate matter content and the like, and is helpful for knowing the air quality condition in the fan room and timely taking measures such as ventilation, filtration and the like; in addition, the fan running state sensor can monitor running conditions of fan equipment in real time, including but not limited to parameter information such as rotating speed, vibration and temperature, is beneficial to timely finding and solving potential problems of an unattended system of the tunnel axial flow fan room, and ensures safe and efficient running of the fan equipment.
The method for acquiring the fan room data by installing the sensor and the monitoring equipment in the embodiment is only an optional condition of the invention, and other one or some embodiments can be adjusted according to specific implementation requirements and tunnel equipment conditions, different tunnel environments and equipment conditions need different monitoring and data acquisition modes, and the method can be adjusted according to specific conditions so as to better adapt to various complex and changeable tunnel environments and ensure the effectiveness and accuracy of monitoring and data acquisition.
S2, a data management and analysis subsystem is arranged in the unmanned system of the tunnel axial flow fan room, fan room data are received through the data management and analysis subsystem, and basic operation conditions of the fan room are obtained, wherein the concrete implementation contents are as follows:
In the embodiment, the data management and analysis subsystem is responsible for storing, managing and analyzing collected fan room data, and through the data management and analysis subsystem, important information such as the running condition and the energy consumption condition of the tunnel axial flow fan room can be known, so that related personnel can master the performance of the tunnel axial flow fan room remotely, powerful data support is provided for optimizing the operation of the fan and saving energy and reducing consumption, the running efficiency of the tunnel axial flow fan room is further improved, the energy consumption is reduced, and the aims of energy conservation and emission reduction are fulfilled.
The data management and analysis subsystem is closely connected with the monitoring and monitoring subsystem, so that real-time transmission and efficient utilization of fan room data are ensured, seamless connection and information sharing of the fan room data are realized, accuracy and precision of fan room monitoring data are ensured, working efficiency of a fan is improved, overall performance and stability of the system are enhanced, and powerful guarantee is provided for safe operation and efficient management of a fan room.
In order to ensure the reliability of the fan room data, a data optimization function is specially arranged in the data management and analysis subsystem, the fan room data is processed and optimized by the data optimization function so as to meet the subsequent analysis conditions, the accuracy and the usability of the data can be effectively improved, more reliable data support is provided for the safe operation and the efficient management of a fan room, and the following relation is met by the data optimization function;
。
Wherein, Representing after smoothingFan house data information of moment of time,A smoothing constant representing the exponential smoothing method,Representation ofThe actual data information of the wind turbine room at the moment,Representation ofInformation weighted average of time.
The processed fan room data information refers to fan room related data recorded at a specific time point after being processed by a data optimization function, noise and abnormal values are removed after the data is subjected to smoothing processing, so that the data is more stable and continuous, and the actual running conditions of the fan room at different moments can be more accurately reflected, wherein the information comprises but is not limited to key data such as temperature, humidity, air quality, monitoring picture and video time of the fan room.
The smooth constant of the exponential smoothing method determines the correction degree of the predicted value to the earlier stage predicted error, also controls the weight distribution of the actual observed value and the earlier stage exponential smoothed value, generally depends on the development trend of the time sequence and the experience of a predictor to carry out constant determination, and can further ensure the reliability of the output result of the model by combining the smooth constant to build the model.
The actual data information of the fan room at the moment refers to actual data recorded at the previous time point in the operation process of the fan room, wherein the data mainly comprises various parameters such as temperature, humidity, pressure, fan rotating speed, electricity consumption and the like of the fan room, and the parameters can be fed back to the fan roomThe time-of-day operating conditions for subsequent analysis and management use.
The weighted average of the time information refers to the time information in the calculationWhen the predicted value or the smoothed value of the moment, the methodThe time, namely the result obtained by carrying out weighted average on the actual data information at the previous time point according to a certain weight, wherein the weight is generally related to a smoothing constant and is used for balancing the influence degree of the current actual observed value and the earlier-stage smoothing value, and the weighted average considers the recent actual observed value and the trend of historical data, so that the data smoothing result is more accurate and stable.
The method for processing the initial data in the embodiment is only an optional condition of the invention, and in other embodiments, the method can be adjusted according to the data set of the tunnel axial flow fan room, and the method for processing the data can be adjusted according to the data condition, so that the method can be better suitable for complex and changeable data conditions, and the effectiveness of data processing is ensured.
And then analyzing the basic operation condition of the fan room according to the fan room target data, wherein the basic operation condition comprises the following specific contents:
In an alternative embodiment, the data management and analysis subsystem performs whole-point sampling every hour according to daily statement information of the tunnel axial flow fan room, including but not limited to voltage, current, power, electric measurement and the like of the fan room, so that timeliness and accuracy of the fan room data are ensured. The data management and analysis subsystem performs average value calculation, summation operation and necessary screening processing according to the type and the characteristics of the data, and meanwhile, the system has an abnormal data monitoring function, and can normally collect and form a report even if the data is abnormal.
All analysis results are automatically transmitted to a remote monitoring and communication subsystem, intelligent display is performed in a clear and easily-understood table form, meanwhile, a change trend of parameters along with time is intuitively presented by matching with a graph, and meanwhile, the maximum value, the minimum value, the occurrence time of each parameter of a fan room on the same day, the average value and other statistical information are automatically calculated and displayed.
In another alternative embodiment, the data management and analysis subsystem gathers the change conditions of the tunnel axial flow fan room according to the month report information of the tunnel axial flow fan room, gathers fan room data sampled every day at all points, including but not limited to information such as voltage, current, power and electric measurement of equipment, so as to comprehensively reflect the month running condition of the fan room equipment, and also display the maximum value, the minimum value and the occurrence time of different parameters in the month, and key statistical information such as average value, so as to provide comprehensive month data analysis results for tunnel fan room managers.
In another alternative embodiment, the data management and analysis subsystem performs annual summary on the annual operation condition of the fan room according to the annual report table of the tunnel axial flow fan room, mainly focuses on zero sampling data of the first day of each month, including but not limited to voltage, current, power, electric quantity of the fan room, temperature, humidity of the external environment, personnel access condition and other key parameters of the fan room, further displays the annual operation condition of the tunnel axial flow fan room in various visual forms, and simultaneously comprehensively analyzes the tunnel axial flow fan room by combining a tunnel environment graph, personnel flow tables and working data tables.
Furthermore, the specific steps and methods for analyzing the data of the wind turbine room by the data management and analysis subsystem in the embodiment are only an optional condition of the invention, and in other embodiments or some embodiments, the method can be adjusted according to specific supporting facilities and environmental conditions of the wind turbine room, so that the subsystem has stronger adaptability, more convenient operation and lower cost, and technical support is provided for safe operation and efficient management of the unmanned system of the tunnel axial flow wind turbine room.
S3, setting a safety protection subsystem in the unmanned system of the tunnel axial flow fan room, wherein the safety protection subsystem comprehensively analyzes the safety performance of the fan room according to the basic running condition of the fan room and the fan room data, and the specific implementation contents are as follows:
in order to comprehensively improve the safety protection capability of an unattended system of a tunnel axial flow fan room, reduce potential risk factors and ensure the safety performance of a fan room, a smoke alarm device, an entrance guard card punching device, a water leakage detection device and an intrusion warning device are arranged in a safety protection subsystem.
In an alternative embodiment, the smoke alarm device, the entrance guard card punching device, the water leakage detection device and the intrusion warning device analyze the safety performance of the tunnel axial flow fan room mainly based on the basic operation condition and data of the fan room, and the specific implementation contents are as follows:
The smoke alarm device analyzes the safety performance of the tunnel axial flow fan room based on the basic operation condition and data of the fan room.
The smoke alarm device can monitor the smoke concentration in the fan room in real time, captures the smoke change condition of the fan room in real time through an accurate sensor technology, immediately transmits relevant information to the remote monitoring and communication subsystem if the smoke concentration exceeds a preset value, is crucial for preventing fire and finding fire in early stage, is beneficial to rapidly taking countermeasures, prevents fire from spreading, and protects equipment safety in the fan room.
The smoke alarm device can be combined with the operation data of the wind turbine room to comprehensively evaluate the safety performance of the wind turbine room. By analyzing parameters such as temperature, humidity and wind speed in the fan room and combining smoke alarm data, whether the fan room is in a safe operation state can be judged, and if abnormal data or potential safety hazards are found, the operation parameters of the fan room can be timely adjusted or necessary maintenance can be carried out so as to ensure safe and stable operation of the fan room.
The entrance guard card punching device analyzes the safety performance of the tunnel axial flow fan room based on the basic operation condition and data of the fan room.
The entrance guard card punching device can record personnel access conditions of the wind machine room in real time, including but not limited to information such as access time, personnel identity and access points, personnel flow rules and conditions of the wind machine room can be known through the data, important basis is provided for safety management of the wind machine room, meanwhile, a snapshot camera with an advanced face recognition function is installed at an entrance of the wind machine room, a stranger access early warning mechanism is facilitated, a face library function is built in the camera, face information of an inner person can be conveniently imported, a face black-and-white list system is built, the stranger can be accurately identified and early warning can be sent out through the entrance guard card punching device, and the inner person can normally pass and punch cards. In this embodiment, the access control card punching device further has strong capturing and identifying capabilities, not only can capture a human body, but also can identify various characteristic attributes, including but not limited to a moving direction of people entering and exiting, a clothing color, a sex, an age group, whether wearing glasses, a knapsack, carrying things, wearing a hat or a mask, and the like; the sex, age and other characteristics of the personnel can be estimated in the aspect of face snapshot.
The method and the device support detection and snapshot of different targets on a face snapshot mode, in the embodiment, 60 faces can be detected at most simultaneously, two modes of quick snapshot and preferential snapshot are provided, flexible selection can be performed according to actual demands of a fan room, false alarm and duplicate removal functions can be additionally arranged, accuracy and effectiveness of punching snapshot data are guaranteed, front-end face comparison is supported, information in a snapshot face and face libraries can be compared in real time, 10 face libraries can be managed at most, and 15 ten thousand face information can be imported into each library to meet the requirement of large-scale face comparison. Furthermore, the early warning information of the primary entering of the personnel is pushed to the remote monitoring and communication subsystem in real time, and the blower room manager can respond rapidly according to the warning information to effectively monitor and manage the entering and exiting personnel of the machine room, so that the safety of the blower room is improved, and the system management efficiency is also improved.
The water leakage detection device analyzes the safety performance of the tunnel axial flow fan room based on the basic operation condition and data of the fan room.
The water leakage detection device can monitor the water leakage condition in the wind turbine room in real time, and can rapidly capture the water leakage sign of the wind turbine room through the high-sensitivity sensor arranged at the key position, and send alarm information to the remote monitoring and communication subsystem at the first time, thereby being beneficial to finding and treating the water leakage problem in time, preventing the water from expanding and protecting equipment and circuits in the wind turbine room from being damaged by water immersion.
The water leakage detection device can be combined with operation data of the wind turbine room to comprehensively evaluate the safety performance of the wind turbine room. By analyzing parameters such as temperature, humidity and wind speed in the fan room and combining the water leakage detection data, whether the fan room is in a safe and stable running environment can be judged, and if the water leakage condition is found to be abnormally associated with the running data of the fan room, measures can be further taken to carry out the rush repair of the fan room.
The intrusion alert device analyzes the safety performance of the tunnel axial flow fan room based on the basic operating conditions and data of the fan room.
The fan room barrage is further provided with the automatic anti-theft equipment integrating the intrusion early warning equipment and the video monitoring equipment, the intrusion warning device detects abnormal intrusion behaviors in real time, once potential threats are detected, alarm information is immediately sent out to the remote monitoring and communication subsystem and linked with the video monitoring equipment, the monitoring and recording of omnibearing and dead-angle-free modes are realized, the anti-theft net is additionally arranged on the outer window of the fan room in an escape mode, the safety protection capacity of the fan room is effectively enhanced, the round thorn wire net is additionally arranged at the top of the fan room barrage, a firm physical barrier is formed, the safety performance of the fan room barrage is further improved, the safety precaution level of the fan room barrage is improved, and a more convenient, simple and efficient safety management means is provided for fan room management personnel.
In this embodiment, the related devices of the safety protection subsystem form a multi-layer safety protection system, which is favorable for comprehensive and real-time monitoring and early warning of the wind turbine room, so that not only can the potential risk be reduced and the safety performance of the wind turbine room be ensured, but also the management efficiency can be improved, the labor cost can be reduced, and a powerful guarantee can be provided for the safe operation of the unmanned system of the tunnel axial flow wind turbine room.
Furthermore, the design scheme of the safety protection subsystem in the embodiment is only an optional condition of the invention, and in other embodiments or some embodiments, specific device equipment of the safety protection subsystem can be flexibly selected according to the fan room condition and the safety requirement, so that more accurate and efficient safety protection can be realized, and the accurate analysis of the safety of the fan room is ensured.
S4, a detection and diagnosis subsystem is arranged in the unmanned system of the tunnel axial flow fan room, and the detection and diagnosis subsystem detects and diagnoses faults of the fan room according to the running condition and data of the fan room, and the specific implementation contents are as follows:
In order to realize comprehensive monitoring and accurate diagnosis of the tunnel axial flow fan room, monitoring and evaluating are carried out aiming at different aspects and key parameters of the fan room, fan room detection targets are set in the detection and diagnosis subsystem, wherein the fan room detection targets mainly comprise a first detection target, a second detection target, a third detection target and a fourth detection target, and further the first detection target comprises an image color cast degree; the second detection target comprises a signal deletion ratio; the third detection target comprises image definition; the fourth detection target includes image similarity.
Wherein, the degree of the color cast of the image is directly related to the quality and accuracy of the monitoring image. The image color cast refers to abnormal deviation or distortion of the color of the image, and in a fan room monitoring system, if the color cast of the image occurs, a remote manager cannot accurately judge the actual situation in a fan room, so that the correct evaluation of the running state of the fan room is affected, and the color cast degree of the image is set as a first detection target.
The method and the device detect the image color cast degree of the monitoring picture, can timely find and correct the problem of image color deviation possibly existing in the monitoring system, are beneficial to ensuring the authenticity of the monitoring image of the wind turbine room, further accurately reflect the actual condition in the wind turbine room and provide reliable decision basis for remote management staff. Meanwhile, the detection result of the image color cast degree can also be used for evaluating the performance and stability of the monitoring system, if the image color cast degree is continuously higher or frequently appears, the fault or defect exists in the monitoring equipment of the unattended system of the tunnel axial flow fan room, and timely overhaul and daily maintenance are required.
The signal loss ratio is critical to the integrity and reliability of the blower room monitoring system. The signal loss proportion refers to the proportion of signal transmission interruption or loss caused by various reasons in the fan room monitoring system, wherein the reasons include but are not limited to equipment failure, line aging, electromagnetic interference and the like, and if the signal loss proportion is too high, the monitoring system cannot comprehensively and accurately reflect the running state of the fan room, so that judgment and processing of the running condition of the fan room by a manager are affected.
The signal loss proportion is detected, the signal transmission problem in the monitoring system can be found and solved in time, when the signal loss proportion exceeds a preset threshold value, the detection and diagnosis subsystem can automatically send wireless early warning information to the remote monitoring and communication subsystem, so that management staff is reminded to overhaul and maintain, stable operation of the monitoring system of the wind turbine room is guaranteed, and integrity and accuracy of monitoring data are improved. In addition, the analysis result of the signal loss ratio can also be used for evaluating the overall performance and stability of the monitoring and monitoring subsystem, if the signal loss ratio is continuously high, the analysis result may mean that the monitoring and monitoring subsystem has design defects or is improperly configured, and further optimization and improvement are needed.
The image definition is closely related to the quality and the effectiveness of the fan house monitoring video. The image definition refers to the detail and resolution of the picture captured by the monitoring camera, the clear image can accurately reflect the actual condition in the fan room, help remote management personnel identify the equipment state, personnel activities and any abnormal condition, and if the image definition is insufficient, the picture is fuzzy and the detail is lost, so that the judgment of the running state of the tunnel axial flow fan room is affected.
The system can be used for analyzing the image definition, and can be used for timely finding possible problems of the monitoring camera, including but not limited to lens pollution, focusing inaccuracy, equipment aging and the like, once the image definition is detected to be lower than a preset standard, the detection and diagnosis subsystem can automatically send maintenance information to the remote monitoring and communication subsystem to adjust or replace the camera so as to ensure the quality of a monitoring video, and the system can be further used for evaluating the performance and maintenance condition of the system on the one hand, and if the image definition is kept at a lower level for a long time, deeper overhaul or upgrade is needed to be carried out on the unmanned system of the tunnel axial flow fan room so as to improve the overall performance of the system.
The image similarity has important significance for safety monitoring and anomaly detection of the wind turbine room. The image similarity refers to the similarity between images captured by different time points or different cameras, and by comparing the similarity of the images, abnormal conditions in the wind turbine room, including the change of the position of system equipment, the occurrence of illegal intruders and the like, are helped to be identified, when the similarity is higher than a safety threshold, the wind turbine room is meant to have a certain change or abnormal event, and at the moment, the detection and diagnosis subsystem sends a wireless alarm signal to the remote monitoring and communication subsystem to remind a remote manager to further verify and process.
The detection of the image similarity can be realized based on an image recognition technology and a machine learning algorithm, a normal image mode in the wind turbine room is learned and recognized through a training model, and then the similarity between a newly captured image and the learned mode is monitored and compared in real time, based on the similarity, the abnormal condition in the wind turbine room can be automatically and efficiently detected, the workload of manual inspection and the false alarm rate are reduced, and in the embodiment, the image similarity needs to satisfy the following relation:
。
Wherein, Representing the similarity index of the monitored image,A reference image is represented and a reference image is represented,A monitoring image is represented and is displayed,Representing the contrast difference between the reference image and the monitored image,A duty cycle index representing the contrast of the image,Representing the difference in brightness between the reference image and the monitored image,A duty cycle index representing the brightness of the image,Representing the structural parameter differences between the reference image and the monitored image,Representing the duty cycle index of the image structure parameters.
The reference image refers to a preset and standard image in the field of image processing and is used for comparing with a fan room monitoring image captured in real time, so that target tracking and comparison of a tunnel axial flow fan room are realized.
The monitoring image of the wind turbine room is a real-time image captured by a monitoring camera arranged in the wind turbine room, and the image has important significance in the aspects of operation monitoring, safety management, fault diagnosis and the like of the wind turbine room.
The contrast difference between the reference image and the monitoring image refers to the difference degree of brightness distribution and color expression of the two images, the contrast is an important attribute of the images, and the contrast can reflect the intensity degree of brightness difference and color contrast of different areas in the images, wherein the contrast difference between the reference image and the monitoring image satisfies the following relation:
。
Wherein, Representing the contrast difference between the reference image and the monitored image,Represents the standard deviation of the reference image,Represents the standard deviation of the standard image,Weight parameters representing image contrast tests.
The standard deviation of the image refers to the degree of dispersion of the gray level value of the image pixel relative to the mean value of the image pixel, the standard deviation can reflect the degree of dispersion of the gray level distribution of the image, and the larger the standard deviation is, the more the gray level distribution is dispersed, and the larger the image contrast is; conversely, the smaller the standard deviation, the smaller the image contrast, and in practical application, the standard deviation is an important index for evaluating the image quality.
The weight parameter of the image contrast test mainly depends on the image test method and the application scene, the contrast test is used for measuring the difference degree of the bright and dark areas in the image, and the weight parameter can be used for adjusting or emphasizing the importance of the contrast characteristics of the image.
In the fan room monitoring system, the duty ratio index of the image contrast ratio can be used for evaluating the quality of the monitoring image and the illumination condition in the fan room, the higher contrast ratio index means that the image contains more bright and dark areas, so that the image is clearer and has strong layering sense, and the lower contrast ratio index indicates that the overall brightness of the image is more uniform and the obvious contrast ratio is lacking.
The ratio index of the image contrast refers to the proportion of the area with stronger contrast in the image, which is used for quantitatively evaluating the contrast distribution in the image, and the index can reflect the relative proportion between the bright area and the dim area in the image, so that the overall brightness and the contrast characteristic of the image are known.
In the fan house monitoring system, the reference image represents an ideal or standard brightness state, while the monitoring image reflects the actual brightness condition of the fan house in real time, and the brightness of the monitoring image is different from that of the reference image due to various factors such as the change of illumination conditions, the difference of camera performance, the distortion in the image transmission and processing processes and the like.
The brightness difference between the reference image and the monitoring image satisfies the following relationship:
。
Wherein, Representing the difference in brightness between the reference image and the monitored image,Representing the coefficient of influence of the image brightness test,Representing the average luminance of the reference image,Representing the average brightness of the standard image.
The influence coefficient of the image brightness test can be used for measuring the parameter of the influence of brightness change on the image quality, and can reflect the influence of brightness adjustment on the overall visual effect, detail performance and information retention degree of the image. In image processing and analysis, brightness directly affects visual perception of an image and effects of subsequent processing, and when brightness changes, parameters such as contrast, saturation, definition and the like of the image are affected, so that quality of the image and accuracy of information are affected.
The average brightness of the monitoring image refers to the average brightness value of all pixels in the monitoring camera image of the unmanned system of the tunnel axial flow fan room, and reflects the overall brightness level of the image in the monitoring scene. The average brightness of the monitoring image has important significance for the video monitoring system, and is helpful for knowing the overall illumination condition of the monitoring scene, so as to judge whether parameters such as exposure, contrast and the like of the camera need to be adjusted or not, and obtain a clearer image. In addition, by analyzing the average brightness of the monitoring image, the performance of the monitoring device, such as the photosensitive performance, dynamic range and the like of the camera, can be evaluated.
The duty ratio index of the brightness of the image refers to the proportion of the bright area in the monitoring image, and is used for quantitatively evaluating the overall brightness degree of the image, and based on the duty ratio index, the proportion of the bright pixels in the image relative to the total pixel number can be reflected, so that the brightness distribution condition of the monitoring image can be known.
The difference of structural parameters between the reference image and the monitoring image mainly refers to the difference of the two images on the structural characteristics of the images, wherein the structural characteristics of the images mainly comprise the characteristics of edges, textures, shapes and the like, and the information of the outline, the surface details, the whole layout and the like of an object in the images can be directly reflected, wherein the difference of the structural parameters between the reference image and the monitoring image needs to satisfy the following relation:
。
Wherein, Representing the structural parameter differences between the reference image and the monitored image,Representing the covariance between the reference image and the monitored image,Represents the standard deviation of the reference image,Represents the standard deviation of the standard image,Error coefficients representing image structure parameters.
The covariance between the reference image and the monitor image is mainly used to measure the overall error between the corresponding pixel values in the two images. If the pixel value change trend of the reference image and the monitored image is consistent, the covariance value is positive; if the change trends of the two images are opposite, the covariance value is negative; if there is no correlation between the two images, the covariance value is close to zero.
The error coefficient of the image structure parameter is an index for measuring the deviation between the measured value and the true value of the image structure parameter, which mainly reflects the accuracy and reliability of the measured result and is helpful for evaluating the performance of the image processing algorithm or the measuring system. In image processing and analysis, image structure parameters include, but are not limited to, information such as image edge sharpness, texture features, shape parameters and the like, accurate measurement of the parameters is critical to image recognition, target tracking, scene understanding and the like, and evaluation of measurement error coefficients of related parameters is significant to optimization of an image processing algorithm and improvement of accuracy of a monitoring system.
The duty ratio index of the image structural parameters refers to the proportion of specific structural features in the image, such as the edges, textures, shapes and other information of the monitored object, can be used for quantitatively evaluating the richness and distribution condition of the structural features in the image, and based on the information, the relative importance of the structural features in the image and the distribution condition of the structural features in the image are known, so that the image structural parameters have important significance for identifying and positioning mechanical equipment of a system and moving objects.
Furthermore, the method of analyzing the similarity of the images by using the function model in the embodiment is only an optional condition of the invention, and in other embodiments or some embodiments, the analysis model can be changed and optimized according to the image analysis requirement and the monitoring system condition, so that the accuracy is maintained, the calculation complexity is reduced, the processing speed is improved, the response speed is fast, and the sum accuracy of the image similarity evaluation result is improved.
In addition, a remote conveying device is configured in the detection and diagnosis subsystem, and the detection and diagnosis subsystem utilizes the remote conveying device to convey a wireless early warning signal so as to realize a wireless warning function.
The detection and diagnosis subsystem obtains the image color cast degree, the signal missing proportion, the image definition and the image similarity according to the running condition of the fan room and the fan room data, then carries out fault detection and diagnosis on the fan room based on the image color cast degree, the signal missing proportion, the image definition and the image similarity, and correspondingly outputs an early warning signal through the remote conveying device if abnormal or abnormal conditions occur.
Wherein the degree of color cast of the image reflects the normality of the image color. The color cast of the image is mainly caused by the problems of camera sensor faults, abnormal light conditions or image processing algorithms and the like, the detection and diagnosis subsystem can compare a standard image with a real-time captured image, the color cast degree is calculated, and once the color cast degree exceeds a preset threshold value, the system can send out a wireless alarm signal through the remote conveying device to prompt maintenance personnel to check and adjust.
Second, the signal loss ratio is an important indicator for measuring the integrity of an image. In the fan house monitored control system, signal loss means that the camera damages, data transmission trouble or monitored control system scheduling problem itself, and the subsystem can real-time detection signal's transmission condition, calculates signal loss proportion, in case the abnormal situation is found, can remote transportation device send alarm signal immediately, ensures that remote management personnel can respond and handle rapidly.
The image sharpness is directly related to the quality of the monitoring picture. If the definition of the image is insufficient, detail information can be lost, the accuracy of fault detection is affected, the detection and diagnosis subsystem can evaluate the definition of the image by using an image processing algorithm, and if the definition is lower than a set standard, the system can remotely convey relevant information to the remote monitoring and communication subsystem by a remote conveying device, so that relevant personnel are reminded to optimize camera setting or replace a camera with higher performance.
Finally, image similarity is an important parameter for evaluating the difference between the monitored image and the reference image. By comparing the similarity between the two, whether the running state of the fan room equipment changes can be judged, if the similarity is obviously reduced, the equipment is in fault or shift and other problems, the subsystem can perform fault early warning and diagnosis according to the change condition of the similarity, and maintenance personnel can timely find and process related problems by receiving an early warning signal of the remote conveying device.
In this embodiment, please refer to fig. 2, where MI represents an input monitoring image of the tunnel axial flow fan room and related data information, DR1 represents an image color cast degree, DR2 represents a signal missing proportion, DR3 represents an image definition, DR4 represents an image similarity, and RE represents an output result of fault detection and diagnosis, in which the detection and diagnosis subsystem comprehensively analyzes key indexes such as the image color cast degree, the signal missing proportion, the image definition and the image similarity, so as to facilitate comprehensive fault detection and diagnosis of the unmanned system of the tunnel axial flow fan room, improve operation efficiency of the fan room, reduce maintenance cost and ensure safe and stable operation of equipment.
S5, a remote monitoring and communication subsystem and an early warning receiving and transmitting subsystem are arranged in the unmanned system of the tunnel axial flow fan room, the remote monitoring and communication subsystem receives output signals of the safety protection subsystem and the detection and diagnosis subsystem, and the early warning receiving and transmitting subsystem is regulated and controlled according to the output signals, and the specific implementation steps and contents are as follows:
The remote monitoring and communication subsystem is provided with a visualization device and a remote communication device, and the remote monitoring device and the remote communication device can respectively regulate and control the early warning receiving and transmitting subsystem according to output signals of the safety protection subsystem and the detection and diagnosis subsystem.
The remote monitoring and communication subsystem is tightly matched with the safety protection subsystem and the detection and diagnosis subsystem, and the early warning transceiver subsystem is regulated and controlled together, so that the safe and stable operation of the wind turbine room is ensured. The visual device can display the running state, equipment layout, monitoring data and other information of the wind turbine room in real time, and provide visual and comprehensive monitoring pictures for remote monitoring staff.
In an alternative embodiment, a high-performance axial flow fan monitoring workstation is configured in a road network center monitoring hall, a workstation set monitoring and monitoring subsystem, a data management and analysis subsystem, a safety protection subsystem and related data of a detection and diagnosis subsystem are configured, meanwhile, an advanced mobile internet technology is utilized to construct a backup transmission channel of fan remote control data, related staff can check real-time data at any time and any place through a mobile phone client and receive alarm signals, and reliability and response speed of an unattended system of a tunnel axial flow fan room are improved.
In addition, a unified central video management platform is also established, the platform realizes the centralized management of video resources of the whole axial-flow machine room, and can perform unified configuration and control on the platform no matter the front-end camera, the video recorder and other equipment, and meanwhile, the platform also has the unified user and authority management function of the whole network, and meets the multi-user and multi-level monitoring and management requirements. In addition, the video monitoring platform not only provides high-efficiency video management service, but also supports access of various protocols such as GB28181, ONVIF, SDK and the like, so that various coding devices can be easily integrated, functions such as video preview, video playback, video wall-up, event monitoring and the like are realized, the newly-added video cascading platform is specially designed for video monitoring service, interconnection and intercommunication with an outer domain platform can be realized, video networking is carried out based on a universal standard protocol, the upper stage platform can carry out operation control on video resources of the lower stage platform, and the working efficiency and monitoring range of the unmanned on duty system of the tunnel axial flow fan room are further improved.
In another alternative embodiment, because the monitoring video image of the unattended system of the tunnel axial flow fan room is various in abnormality and complex and changeable in condition, in order to comprehensively test the actual effect of the video image quality diagnosis module of the tunnel axial flow fan room, the remote monitoring and communication subsystem performs sorting analysis on objective detection results of different subsystems to verify the accuracy and reliability, and specifically please refer to table 1, the statistics table of the detection output results is presented.
Table 1 statistical table of detection output results
According to table 1, it can be known that each detection target and its corresponding detection content, different codes represent specific results or states of the corresponding detection content, which is helpful for the remote monitoring and communication subsystem to comprehensively evaluate the quality and performance of the image or video, and further analyze and process to realize comprehensive evaluation of the image or video quality.
The remote communication device is responsible for transmitting the operation data and wireless early warning information of the wind turbine room to the remote monitoring and communication subsystem in real time, and can adopt reliable communication protocols and technologies to ensure accurate transmission and timely response of the transmission data.
The early warning receiving and transmitting subsystem can remind a remote manager to take corresponding early warning measures according to the type and the level of the received early warning signal. In an alternative embodiment, when a fan room equipment fault or a potential safety hazard is detected, the early warning transceiver subsystem can timely inform a remote manager to process in a mode of audible and visual alarm, short message notification, mail reminding and the like, and meanwhile, according to a preset emergency plan, corresponding emergency operation such as cutting off a power supply, starting standby equipment, dialing an alarm telephone and the like can be automatically performed, so that the fault is prevented from being enlarged or serious consequences are caused.
Through the visualization device and the remote communication device in the remote monitoring and communication subsystem, and the cooperation work with the safety protection subsystem and the detection and diagnosis subsystem, the early warning receiving and transmitting subsystem can realize the real-time monitoring and early warning processing of the running state of the tunnel fan room, and provides powerful guarantee for the safe running of the tunnel axial flow fan room.
After the unmanned system of tunnel axial fan room is reformed, managers can remotely observe the operation conditions of barrages and electromechanical facilities through video monitoring, and simultaneously monitor the remote control, alarm and test signal transmission states of the electromechanical facilities such as axial fans, power distribution equipment, generators and the like in real time by using monitoring software and mobile phone clients. The unattended system of the tunnel axial flow fan room also supports remote inspection operation and maintenance, so that the remote early warning can be triggered rapidly when the equipment state is abnormal, and relevant technicians are informed of timely processing.
Furthermore, in order to ensure stable operation of the relevant equipment in the wind turbine room, an overhaul technician is arranged to carry out on-site inspection on the wind turbine room at a specific time, so as to mainly check the operation conditions of the wind turbine, the air valve, the monitoring facility and the high-low voltage power supply equipment, and in addition, maintenance work is required to be carried out on the relevant equipment in the tunnel wind turbine room regularly. Meanwhile, the existing monitoring network resources are fully utilized, an efficient transmission channel is established, key technical indexes of main high-low voltage electrical equipment, a generator set and key auxiliary facilities of a power distribution room and an switching station are continuously monitored for 24 hours, the requirements of safe and stable operation of a tunnel and a station power supply and distribution system can be met, the safety of the power distribution room and the power supply facilities can be ensured, the whole coverage, real-time response and accurate monitoring of a tunnel axial flow fan room are further realized, and powerful technical support and guarantee are provided for the tunnel and the station power supply and distribution system.
Furthermore, in this embodiment, the building mode of the unmanned system of the tunnel axial flow fan room is only one optional condition of the invention, and in other embodiments or some embodiments, specific equipment of the unmanned system can be adjusted and replaced according to specific practical conditions and detection requirements, so that the system can better adapt to actual requirements and changing conditions, the applicability of the unmanned system of the tunnel axial flow fan room is improved, the cost is reduced, the reliability is enhanced, the technical innovation is promoted, the development and application of the unmanned technology of the tunnel axial flow fan room are promoted, and the safety and the efficiency of tunnel operation are improved.
Referring to fig. 3, in an alternative embodiment, in order to be able to efficiently execute the unmanned system of the tunnel axial flow fan room provided by the present invention, the present invention further provides an energy analysis system based on a digital neural network, which includes a data processing system, an energy prediction system, and an energy allocation system, where an input device, a processor, and an output device in the data processing system are connected with each other, where the data processing system is used to collect initial energy data, the energy prediction system is used to calculate an energy output value and an energy distribution rate, and the energy allocation system is used to regulate energy resources, and the memory is used to store a computer program, where the computer program includes program instructions, and where the unmanned system of the tunnel axial flow fan room executes the program instructions, so as to implement specific steps of the related embodiment of the unmanned system of the tunnel axial flow fan room provided by the present invention. The energy analysis system based on the digital neural network has complete, objective and stable structure, can efficiently execute the unmanned system of the tunnel axial flow fan room, and improves the overall applicability and practical application capability of the system.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.

Claims (10)

1. The utility model provides an unmanned on duty system in tunnel axial fan room, its characterized in that, unmanned on duty system in tunnel axial fan room includes: the system comprises a monitoring and monitoring subsystem, a data management and analysis subsystem, a safety protection subsystem, a detection and diagnosis subsystem, a remote monitoring and communication subsystem and an early warning receiving and transmitting subsystem;
The monitoring and monitoring subsystem is utilized to acquire data of the tunnel axial flow fan room and obtain fan room data;
The data management and analysis subsystem receives the fan room data and obtains the basic operation condition of the fan room;
The safety protection subsystem analyzes the safety performance of the fan room according to the basic running condition and the fan room data;
the detection and diagnosis subsystem performs fault detection and diagnosis of the fan room according to the basic running condition and the fan room data;
the remote monitoring and communication subsystem receives output signals of the safety protection subsystem and the detection and diagnosis subsystem, and regulates and controls the early warning receiving and transmitting subsystem according to the output signals.
2. The tunnel axial flow fan room unattended system of claim 1 wherein the data management and analysis subsystem receiving the fan room data comprises:
Setting a data optimization function in the data management and analysis subsystem;
The data optimization function satisfies the following relationship:
；
Wherein, Representing after smoothingFan house data information of moment of time,A smoothing constant representing the exponential smoothing method,Representation ofThe actual data information of the wind turbine room at the moment,Representation ofInformation weighted average of time.
3. The tunnel axial flow fan room unattended system of claim 2 wherein the data management and analysis subsystem receives the fan room data and obtains basic operating conditions of a fan room including;
The data management and analysis subsystem optimizes the fan room data by utilizing the data optimization function and obtains fan room target data;
and analyzing the basic operation condition of the fan room according to the fan room target data.
4. The tunnel axial flow fan room unattended system of claim 1 wherein the safety protection subsystem analyzes safety performance of a fan room based on the basic operating conditions and the fan room data, comprising:
a smoke alarm device, an access control card punching device, a water leakage detection device and an intrusion warning device are arranged in the safety protection subsystem;
The smoke alarm device, the entrance guard card punching device, the water leakage detection device and the intrusion warning device analyze the safety performance of the fan room according to the basic running condition and the fan room data.
5. The unmanned tunnel axial fan room system of claim 1, wherein the detection and diagnosis subsystem performs fault detection and diagnosis of the fan room based on the basic operating conditions and the fan room data comprises:
And setting a fan room detection target in the detection and diagnosis subsystem, wherein the fan room detection target comprises a first detection target, a second detection target, a third detection target and a fourth detection target.
6. The tunnel axial fan room unattended system of claim 5 wherein the first detection target includes an image color cast degree;
The second detection target comprises a signal deletion proportion;
the third detection target comprises image definition;
the fourth detection target includes an image similarity.
7. The unmanned tunnel axial fan room system of claim 6, wherein the image similarity satisfies the following relationship:
；
Wherein, Representing the similarity index of the monitored image,A reference image is represented and a reference image is represented,A monitoring image is represented and is displayed,Representing the contrast difference between the reference image and the monitored image,A duty cycle index representing the contrast of the image,Representing the difference in brightness between the reference image and the monitored image,A duty cycle index representing the brightness of the image,Representing the structural parameter differences between the reference image and the monitored image,Representing the duty cycle index of the image structure parameters.
8. The unmanned tunnel axial fan room system of claim 5, wherein the detection and diagnosis subsystem performs fault detection and diagnosis of the fan room based on the basic operating conditions and the fan room data comprises:
The detection and diagnosis subsystem obtains the image color cast degree, the signal missing proportion, the image definition and the image similarity according to the basic running condition and the fan room data;
and performing fault detection and diagnosis on the fan room based on the image color cast degree, the signal missing proportion, the image definition and the image similarity.
9. The tunnel axial fan room unattended system according to claim 1, wherein the tunnel axial fan room unattended system further comprises:
Configuring a remote delivery device in the detection and diagnostic subsystem;
the detection and diagnosis subsystem utilizes the remote conveying device to convey an early warning signal so as to realize a wireless alarm function.
10. The unmanned on duty system of tunnel axial fan room of claim 1, wherein the remote monitoring and communication subsystem receives the output signals of the safety protection subsystem and the detection and diagnosis subsystem, and regulates the early warning transceiver subsystem according to the output signals, comprising:
Setting a visualization device and a remote communication device in the remote monitoring and communication subsystem;
The visualization device and the remote communication device regulate and control an early warning receiving and transmitting subsystem according to the output signals.
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