CN111260835B - Monitoring and alarming system for urban comprehensive pipe gallery and control method thereof - Google Patents
Monitoring and alarming system for urban comprehensive pipe gallery and control method thereof Download PDFInfo
- Publication number
- CN111260835B CN111260835B CN202010062426.5A CN202010062426A CN111260835B CN 111260835 B CN111260835 B CN 111260835B CN 202010062426 A CN202010062426 A CN 202010062426A CN 111260835 B CN111260835 B CN 111260835B
- Authority
- CN
- China
- Prior art keywords
- pipe gallery
- signal
- sound
- sound wave
- base station
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/16—Actuation by interference with mechanical vibrations in air or other fluid
- G08B13/1654—Actuation by interference with mechanical vibrations in air or other fluid using passive vibration detection systems
- G08B13/1672—Actuation by interference with mechanical vibrations in air or other fluid using passive vibration detection systems using sonic detecting means, e.g. a microphone operating in the audio frequency range
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention aims at the problems that in the traditional communication system, a terminal is usually served by only one base station and can be simultaneously connected with two or more base stations only under the condition of soft handover; the existing network has poor communication capability in a complicated lower pipe gallery, and is difficult to support continuous positioning point-to-point and point-to-multipoint communication; the existing sensor is easy to damage in underground drainage pipelines with serious wet corrosion; the utility model provides a city utility tunnel control and alarm system to foretell problem.
Description
Technical Field
The invention belongs to a monitoring alarm system control method, and particularly relates to a monitoring alarm system for an urban comprehensive pipe gallery and a control method thereof.
Background
And 22 days 5 and 2015, GB 50838 and 2015 'urban comprehensive pipe gallery engineering technical specification' are jointly issued by the residential and construction department and the quality control bureau, and are formally implemented in 2015 at 1 and 6 months, and the design and construction work of the urban comprehensive pipe gallery are proposed to follow the construction principle of 'specification advance, moderate advance, local control and overall consideration'. In the technical specification of urban comprehensive pipe gallery engineering, specific requirements are made on functions, parameters, interfaces and the like of a monitoring and alarming system, and a standard communication interface is required to be accessed to a unified management platform of the comprehensive pipe gallery monitoring and alarming system when a pipeline adopts a self-organized professional monitoring system. Therefore, the construction of the 'monitoring and alarming system' of the urban comprehensive pipe gallery needs to combine the monitoring, management and operation of the whole urban comprehensive pipe gallery, the investment amount of the urban comprehensive pipe gallery is not large in the construction of the whole pipe gallery, but the function of the urban comprehensive pipe gallery is very important. And build one set of "city utility tunnel's thing networking communication platform", when satisfying current control and alarm system functional requirement, more can reserve out unlimited possibility for system dilatation, function extension, multisystem fusion etc. of future.
The invention discloses an internet of things communication method, namely a Chinese published patent number CN106254437B, published on 2019, 9, 3 and discloses an internet of things communication method, which realizes that a monitoring terminal identifies equipment data sent by an equipment terminal and comprises the following steps: establishing an equipment model, namely after each equipment terminal is accessed to a communication network, sending corresponding equipment metadata to a monitoring terminal so that the monitoring terminal generates an equipment model corresponding table; a sending rule setting step, in which a user sets a data sending rule between the equipment terminal and the monitoring terminal based on the network condition of the communication network; a data packet generating and sending step, wherein a sending party in the equipment terminal or the monitoring terminal generates a data packet based on a data sending rule and sends the data packet to a receiving party based on a preset communication rule; and a data packet receiving and analyzing processing step, wherein a receiver receives the sent data packet and analyzes the data packet to obtain corresponding data information, the equipment metadata comprises an equipment acquisition data item table, an acquisition task table and an equipment command table, and the monitoring terminal stores an identification number analyzing table.
The invention discloses an ISM low-speed Internet of things communication system and a communication method thereof, and discloses the ISM low-speed Internet of things communication system and the communication method thereof, wherein the system comprises an ISM authorization center, an ISM frequency band selection module, an upper and lower channel subcarrier self-adaptive selection module and a UNB communication module 400; the method comprises the steps that when the terminal needs to send information, networking is carried out on a wireless node of the terminal and a wireless node of a base station through an ISM low-speed Internet of things communication system; the terminal of the invention does not need to be connected to the base station all the time, and the terminal and the base station do not need to be synchronized in time or frequency.
Disclosure of Invention
The invention aims at the problems that in the traditional communication system, a terminal is usually served by only one base station and can be simultaneously connected with two or more base stations only under the condition of soft handover; the existing network has poor communication capability in a complicated lower pipe gallery, and is difficult to support continuous positioning point-to-point and point-to-multipoint communication; the existing sensor is easy to damage in underground drainage pipelines with serious wet corrosion; the utility model provides a city utility tunnel control and alarm system to foretell problem.
City utility tunnel control and alarm system includes: 300M optical fiber access server, storage array, monitoring server, panoramic camera and sensor data processing server,
wisdom wall for arrange the pipeline and set up pipeline sensor, combustible gas concentration sensor, optic fibre temperature sensor and cable temperature sensor, set up in city piping lane, with 300M optic fibre access server
The FN expansion base station in the pipe gallery is used for providing a wireless heat access terminal in the low-power pipe gallery, is arranged on a smart wall at the inlet and outlet side in the pipe gallery, and is in communication connection with the 300M optical fiber access server through an optical fiber circuit;
the entrance and exit detection door is arranged at the population of the pipe gallery and used for detecting the identity of personnel entering and exiting the pipe gallery and is in communication connection with the FN extended base station in the pipe gallery;
ventilation port lid sets up and is used for guaranteeing the passageway safety of taking a breath on piping lane air regenerating device top or the well lid top of taking a breath, include: the anti-disassembly sensor, the dry battery and the FN communication terminal are in communication connection with the FN expansion base station in the pipe gallery;
well head lid sets up and includes on the perpendicular inspection shaft of piping lane: the anti-disassembly sensor, the dry battery and the FN communication terminal are in communication connection with the FN expansion base station in the pipe gallery;
the acousto-optic alarm system is arranged on the top side in the pipe gallery and used for providing acousto-optic alarm and is in communication connection with the FN extended base station in the pipe gallery; electromagnetic door lock sets up on access & exit detection door, with FN extension basic station communication connection in the piping lane.
And the illegal invasion of the entrance can be completely eradicated by combining with biological identification technologies such as fingerprint identification, face identification and the like. When a worker enters and exits the pipe gallery, a biological identification system arranged at an entrance of the pipe gallery identifies the identity of the worker, the storage array checks the wireless patrol card carried by the worker, when the biological identification system confirms that the worker is a work manager of the pipe gallery and the patrol card carried by the worker is the person, and the person does not have an authorized work task in a corresponding time period, the gate is opened remotely and released; when any condition is not met, the inlet gate is not opened; and simultaneously, sound and light alarm is given out. Through this system, but very big degree ground guarantees the certainty of corridor staff, guarantees the effective expansion of administrative work, provides the biggest guarantee for pipe gallery safety. Thing allies oneself with the access in the piping lane all possesses the IP and snatchs the control, can carry out real-time accurate positioning to thing networking terminals such as cell-phone, identification card, sensor in the system fast, and positioning accuracy can reach 2 meters. The system comprises a wireless voice communication system, a wireless voice communication system and a wireless voice communication system. The system is combined with a dynamic human face distribution and control system, so that work violation events such as card replacement of inspection personnel, entrance of single work personnel into a limited area and the like can be effectively avoided, and potential safety hazards are avoided.
Preferably, the smart wall includes:
the pipeline frames are used for installing gas-liquid pipelines, are embedded on the surface of the wall body of the pipeline corridor, have equal intervals and are fixedly connected with the wall body of the pipeline corridor;
the active sound wave emitter is arranged on the joint surface of the pipeline frame and the pipeline, and the sound wave generating surface is jointed with the pipeline, fixedly connected with the pipeline frame and in communication connection with the FN expansion base station in the pipeline corridor;
the sound wave receiver is used for receiving detection sound waves transmitted by the active sound wave transmitter and other sound waves in the pipe gallery, is arranged on the lower side of the pipeline frame, is fixedly connected with the pipeline frame in a fitting mode and is in communication connection with the FN expanding base station in the pipe gallery;
the vibration receiver is arranged at the junction of the wall body of the pipe gallery and the ground surface of the pipe gallery and used for detecting ground surface vibration signals and is in communication connection with the FN extended base station in the pipe gallery.
Preferably, the FN extension base station in the pipe rack adopts a LoRA protocol access module.
After the network is laid, real-time continuous positioning with the precision of 2 meters can be realized in all coverage ranges. The characteristics of the nodes and the node ad hoc network enable each sensing node to select and receive data relay nearby, so that dense dead-corner-free wireless signal coverage is formed, the absolute value of the maximum signal intensity difference between any two points is not more than 30dB, and meanwhile, the signal intensity of any position in the coverage area is not less than-85 dBm. Compared with the traditional base station deployment mode, the coverage has no dead angle and blind area, and the anti-jamming capability is stronger. In conventional communication systems, a terminal is typically served by only one base station, and may be simultaneously connected to two or more base stations only in case of soft handover. And the terminal in the LoRA ad hoc network system is always connected with a plurality of nearby base stations. The terminal can synchronously communicate with a plurality of micro base stations (FN) within a certain distance, and all the micro base stations serving the terminal in parallel form a connection set C { FN1, FN2, … …, FNn } of the terminal; when the distance between a certain micro base station (such as FN1) and the terminal exceeds the communication distance, the FN1 is removed from the connection set C; when the distance between a micro base station (e.g., FNn) not belonging to the connection set C and the terminal reaches the communication distance, FNn will be added to the connection set C.
A city utility tunnel monitoring and alarming method comprises the following steps:
a1, FN expanding base station in all pipe corridors installed in a 300M optical fiber access server communication pipe corridor, a panoramic camera in a monitoring server communication pipe corridor, and personnel information in a storage array are read;
a2, judging whether to start the personnel inspection, and jumping to the step A7 if the personnel inspection is started;
a3, reading the panoramic camera to capture the dynamic face, and jumping to A6 if the face is captured;
a4, reading out alarm signals of the entrance detection door, the vent cover and the manhole cover, and jumping to the step A6 if the alarm signals are received;
a5, sending a pipeline detection command to the intelligent wall to actively check hidden dangers of the pipeline, and jumping to the step A7 if the check result is in a problem;
a6, starting an audible and visual alarm system, tracking invasion by an intelligent wall and a panoramic camera, and arranging personnel to patrol;
a7, remotely opening the electromagnetic door lock to enable the inspection personnel to enter a pipe gallery by the inspection personnel comparing the identity data in the access detection door with the identity data in the storage array through the work card;
a8, reading the thermal connection state of the FN extended base station and the patrol personnel work card in the pipe gallery to accurately position the patrol personnel and storing the positioning records;
a9, comparing the actual route of the inspection staff read in the A8 with the set route in the storage array, giving a secondary alarm when the deviation value is more than 7%, and jumping to the step A6;
a10, the personnel of patrolling and examining detect the door exit tube corridor from predetermineeing the access & exit, terminate and fix a position patrolling and examining personnel to by long-range shutting electromagnetism lock, accomplish and patrol and examine.
Preferably, the step a5 includes the following sub-steps:
b1, the sensor data processing server starts an active sound wave emitter for detecting the pipe section, and sound waves are diffused along the wall of the pipeline;
b2, receiving the sound wave diffused in the step B1 by a sound wave receiver, and recording a sound wave signal before the sound wave is attenuated;
b3, performing fourier transform on the sound wave signal in step B3, wherein the formula is as follows:
A(t,f)＝∫v(τ)g * (τ-t)e -jωt dτ (1)
wherein t is time, ω is angular frequency, f is frequency, and v is acoustic signal;
b4, calculating the center frequency fc of the sound wave signal after fourier transform in step B3, the formula is as follows:
b5, performing band-pass filtering on the sound wave signal v according to the band-pass filtering range of the center frequency fc;
b6, carrying out amplitude spectrum identification on the filtered signal;
b7, if the phase shift or amplitude maximum attenuation problem occurs in the comparison of the amplitude spectrum identification result obtained in the step B6 and the standard result in the storage array, the step B8 is skipped, otherwise, the examination is ended;
b8, performing Hilbert transform on the sound wave signal in the step B5 to obtain an analytic signal, obtaining a phase difference phase by using the analytic signal, and obtaining a signal arrival time according to the phase difference;
b9, determining the front and back positions and the distance of the pipeline problem from the active sound wave transmitter according to the phase sequence and the arrival time of the phase, and arranging personnel for inspection.
Preferably, the step a6 includes the following sub-steps:
c1, turning on a sound wave receiver in the pipe gallery which triggers an alarm signal and gives an audible and visual alarm;
c2, collecting sound signals in the pipe gallery by a sound wave receiver;
c3, if the sound signal v in the step C2 has a large amount of clutter after the sound and light alarm sound filtering, the sound alarm in the pipe gallery is closed, and the step C2 is repeated to collect the sound signal;
c4, performing clutter filtering on the sound signal obtained in the step C2 in the mode of processing the sound signals from the step B3 to the step B6 to obtain a suspected footstep sound signal;
c5, discretizing the continuous signal of the step C4;
c6, calculating the discrete sound signal in step C5 according to the following formula:
k is the kurtosis of the variable x, E is the mathematical expectation of the variable x, and the mean value of the variable x accords with 0, and the discretization sound signal is subjected to high-order quantity accumulation judgment;
c7 comparing the peak value of the cumulant value, when the cumulant value is present and only 0.7-1.4 paragraphs have more than 1, judging the signal obtained in the step C4 is the step sound of the person;
and C8, uploading the position of the sound wave receiver where the C4 footstep sound signal is obtained, recording the position into the sensor data processing server, and rechecking the position by the vibration receiver.
Preferably, in the step C8, the vibration receiver adopts the processing method from the step C4 to the step C6 to accumulate the high-order quantity of the vibration signal and determine whether the vibration signal is caused by the person walking.
The substantial effects of the invention are as follows: after the network is laid, real-time continuous positioning with the precision of 2 meters can be realized in all coverage areas, most of road surface wireless signal interference is avoided through transmission in the pipe, the absolute value of the maximum signal intensity difference between any two points is not more than 30dB, and meanwhile, the signal intensity of any position in the coverage area is not less than-85 dBm; by means of a continuous ad hoc network mode, the problem that the communication quality is reduced due to signal loss and even the machine is temporarily dropped caused by system communication switching is avoided; the system can be used for periodically pre-inspecting the pipeline, so that the times and time for personnel to enter the pipe gallery to inspect and check are reduced, and manpower and physics are saved; the system can search and recheck the footstep sound, automatically alarm the intrusion and position the intruder, improve the safety of the pipe gallery, photograph the face of the intruder and recognize the footstep sound, and facilitate subsequent work.
Detailed Description
The technical solution of the present invention will be further specifically described below by way of specific examples.
Example 1
City utility tunnel control and alarm system, include: 300M optical fiber access server, storage array, monitoring server, panoramic camera and sensor data processing server,
wisdom wall for arrange the pipeline and set up pipeline sensor, combustible gas concentration sensor, optic fibre temperature sensor and cable temperature sensor, set up in city piping lane, with 300M optic fibre access server
The FN expansion base station in the pipe gallery is used for providing a wireless heat access terminal in the low-power pipe gallery, is arranged on a smart wall at the inlet and outlet side in the pipe gallery, and is in communication connection with the 300M optical fiber access server through an optical fiber circuit;
the entrance and exit detection door is arranged at the population of the pipe gallery and used for detecting the identity of personnel entering and exiting the pipe gallery and is in communication connection with the FN extended base station in the pipe gallery;
ventilation port lid sets up and is used for guaranteeing the passageway safety of taking a breath on piping lane air regenerating device top or the well lid top of taking a breath, include: the anti-disassembly sensor, the dry battery and the FN communication terminal are in communication connection with the FN expansion base station in the pipe gallery;
well head lid sets up and includes on the perpendicular inspection shaft of piping lane: the anti-disassembly sensor, the dry battery and the FN communication terminal are in communication connection with the FN expansion base station in the pipe gallery;
the acousto-optic alarm system is arranged on the top side in the pipe gallery and used for providing acousto-optic alarm and is in communication connection with the FN extended base station in the pipe gallery; electromagnetic door lock sets up on access & exit detection door, with FN extension basic station communication connection in the piping lane.
And the illegal invasion of the entrance can be completely eradicated by combining with biological identification technologies such as fingerprint identification, face identification and the like. When a worker enters and exits the pipe gallery, a biological identification system arranged at an entrance of the pipe gallery identifies the identity of the worker, the storage array checks the wireless patrol card carried by the worker, when the biological identification system confirms that the worker is a work manager of the pipe gallery and the patrol card carried by the worker is the person, and the person does not have an authorized work task in a corresponding time period, the gate is opened remotely and released; when any condition is not met, the inlet gate is not opened; and simultaneously, sound and light alarm is given out. Through this system, but very big degree ground guarantees the certainty of corridor staff, guarantees the effective expansion of administrative work, provides the biggest guarantee for pipe gallery safety. Thing allies oneself with the access and all possesses the IP and snatchs the control in the piping lane, and the quick thing networking terminals such as cell-phone, identification card, sensor to in the system carry out real-time accurate positioning, and positioning accuracy can reach 2 meters. The system comprises a wireless voice communication system, a wireless voice communication system and a wireless voice communication system. The system is combined with a dynamic human face distribution and control system, so that work violation events such as card replacement of inspection personnel, entrance of single work personnel into a limited area and the like can be effectively avoided, and potential safety hazards are avoided.
Wisdom wall, include:
the pipeline frames are used for installing gas-liquid pipelines, are embedded on the surface of the wall body of the pipeline corridor, have equal intervals and are fixedly connected with the wall body of the pipeline corridor;
the active sound wave emitter is arranged on the joint surface of the pipeline frame and the pipeline, and the sound wave generating surface is jointed with the pipeline, fixedly connected with the pipeline frame and in communication connection with the FN extended base station in the pipeline corridor;
the sound wave receiver is used for receiving detection sound waves transmitted by the active sound wave transmitter and other sound waves in the pipe gallery, is arranged on the lower side of the pipeline frame, is fixedly connected with the pipeline frame in a fitting mode and is in communication connection with the FN expanding base station in the pipe gallery;
the vibration receiver is arranged at the junction of the wall body of the pipe gallery and the ground surface of the pipe gallery and used for detecting ground surface vibration signals and is in communication connection with the FN extended base station in the pipe gallery.
FN extension base station adopt LoRA agreement access module in the piping lane.
After the network is laid, real-time continuous positioning with the precision of 2 meters can be realized in all coverage ranges. The characteristics of the nodes and the node ad hoc network enable each sensing node to select and receive data relay nearby, so that dense dead-corner-free wireless signal coverage is formed, the absolute value of the maximum signal intensity difference between any two points is not more than 30dB, and meanwhile, the signal intensity of any position in the coverage area is not less than-85 dBm. Compared with the traditional base station deployment mode, the coverage has no dead angle and blind area, and the anti-interference capability is stronger. In conventional communication systems, a terminal is typically served by only one base station, and may be simultaneously connected to two or more base stations only in case of soft handover. And the terminal in the LoRA ad hoc network system is always connected with a plurality of nearby base stations. The terminal can synchronously communicate with a plurality of micro base stations (FN) within a certain distance, and all the micro base stations serving the terminal in parallel form a connection set C { FN1, FN2, … …, FNn } of the terminal; when the distance between a certain micro base station (such as FN1) and the terminal exceeds the communication distance, the FN1 is removed from the connection set C; when the distance between a micro base station (e.g., FNn) not belonging to the connection set C and the terminal reaches the communication distance, FNn will be added to the connection set C.
A city utility tunnel monitoring and alarming method comprises the following steps:
a1, FN expanding base station in all pipe corridors installed in a 300M optical fiber access server communication pipe corridor, a panoramic camera in a monitoring server communication pipe corridor, and personnel information in a storage array are read;
a2, judging whether to start the personnel inspection, and jumping to the step A7 if the personnel inspection is started;
a3, reading the panoramic camera to capture the dynamic face, and jumping to A6 if the face is captured;
a4, reading out alarm signals of the entrance detection door, the vent cover and the manhole cover, and jumping to the step A6 if the alarm signals are received;
a5, sending a pipeline detection command to the intelligent wall to actively check hidden dangers of the pipeline, and jumping to the step A7 if the check result is in a problem;
a6, starting an audible and visual alarm system, tracking invasion by an intelligent wall and a panoramic camera, and arranging personnel to inspect;
a7, remotely opening the electromagnetic door lock to enable the inspection personnel to enter a pipe gallery by the inspection personnel comparing the identity data in the access detection door with the identity data in the storage array through the work card;
a8, reading the thermal connection state of the FN extended base station and the patrol personnel work card in the pipe gallery to accurately position the patrol personnel and storing the positioning records;
a9, comparing the actual route of the inspection staff read in the A8 with the set route in the storage array, giving a secondary alarm when the deviation value is more than 7%, and jumping to the step A6;
a10, the patrolling personnel follow and predetermine access & exit detection door exit gallery, terminate and fix a position patrolling personnel to by long-range shutting electromagnetic door lock, accomplish to patrol and examine.
The step A5 includes the following sub-steps:
b1, the sensor data processing server starts an active sound wave emitter for detecting the pipe section, and sound waves are diffused along the wall of the pipeline;
b2, receiving the sound wave diffused in the step B1 by a sound wave receiver, and recording a sound wave signal before the sound wave is attenuated;
b3, performing fourier transform on the sound wave signal in step B3, wherein the formula is as follows:
A(t,f)＝∫v(τ)g * (τ-t)e -jωt dτ (1)
wherein t is time, ω is angular frequency, f is frequency, and v is acoustic signal;
b4, calculating the center frequency fc of the sound wave signal after fourier transform in step B3, the formula is as follows:
b5, performing band-pass filtering on the sound wave signal v according to the band-pass filtering range of the center frequency fc;
b6, carrying out amplitude spectrum identification on the filtered signal;
b7, if the phase shift or amplitude maximum attenuation problem occurs in the comparison of the amplitude spectrum identification result obtained in the step B6 and the standard result in the storage array, the step B8 is skipped, otherwise, the examination is ended;
b8, performing Hilbert transform on the sound wave signal in the step B5 to obtain an analytic signal, obtaining a phase difference phase by using the analytic signal, and obtaining a signal arrival time according to the phase difference;
b9, determining the front and back positions and the distance of the pipeline problem from the active sound wave transmitter according to the phase sequence and the arrival time of the phase, and arranging personnel for inspection.
The speed of sound waves in the pipeline along the solid pipeline can reach 5000m/s, the pipeline can be detected from a sound wave emission point instantly, signals processed by sound waves in the intact state of various pipelines are stored in the storage array, and after comparison, if the same-phase peak value of a peak spectrum does not obviously decrease or phase shift occurs, the corresponding pipeline has no obvious problem.
When the corresponding pipeline has a long strip crack or a diffusion-shaped opening, the peak value on the wave crest spectrum is obviously attenuated and is accompanied by phase shift of the peak value and a comparison peak value, the time of the long strip crack or the diffusion-shaped opening on the pipeline from the sound wave emission point can be determined according to the phase shift time, and the approximate problem position can be deduced according to the transmission speed of the sound wave.
The step A6 includes the following sub-steps:
c1, turning on a sound wave receiver in the pipe gallery which triggers an alarm signal and gives an audible and visual alarm;
c2, collecting sound signals in the pipe gallery by the sound wave receiver;
c3, if the sound signal v in the step C2 has a large amount of clutter after the sound and light alarm sound filtering, the sound alarm in the pipe gallery is closed, and the step C2 is repeated to collect the sound signal;
c4, performing clutter filtering on the sound signal obtained in the step C2 in the mode of processing the sound signals from the step B3 to the step B6 to obtain a suspected footstep sound signal;
c5, discretizing the continuous signal of the step C4;
c6, calculating the discrete sound signal in step C5 according to the following formula:
k is the kurtosis of the variable x, E is the mathematical expectation of the variable x, and the mean value of the variable x accords with 0, and the discretization sound signal is subjected to high-order quantity accumulation judgment;
c7 comparing the peak value of the cumulant value, when the cumulant value is present and only 0.7-1.4 paragraphs have more than 1, judging the signal obtained in the step C4 is the step sound of the person;
and C8, uploading the position of the sound wave receiver where the C4 footstep sound signal is obtained, recording the position into the sensor data processing server, and rechecking the position by the vibration receiver.
Theoretical analysis results prove that the probability density peak points of sub-Gaussian distribution are flat, but the super-Gaussian distribution is relatively short in branch sharp denisting, so that the entropy subtraction function is the degree of outlier of non-Gaussian overall outlier data, namely 1 sampling point in n sampling points has the largest entropy subtraction value when different, therefore, the entropy subtraction calculation is carried out on the step sound signals, the maximum value is accumulated, and the method can be used for detecting and identifying the step sound signals of personnel.
Through actual signal collection and analysis, the main frequency of footstep sound signals of vehicles and people on the bottom surface is concentrated below 500Hz, sound waves are sampled according to Nyquist sampling and are analyzed by using a formula (3), the cumulative quantity of entropy subtraction of sound wave vibration signals of the wheel type crawler is far smaller than 1, the cumulative quantity of sound wave signals generated by walking of people is larger than 1, and the walking signals of the people can be collected by using the characteristic.
In the step C8, the vibration receiver adopts the processing method from the step C4 to the step C6 to accumulate the high-order quantity of the vibration signal and determine whether the vibration signal is caused by the walking of the person.
The processing mode of the vibration signal is the same as the processing mode of the sound wave, and the difference is the difference of the frequency and the propagation medium, so the processing modes of the steps C4 to C6 can be applied to carry out high-order accumulation judgment on the signal to carry out the recheck sound wave judgment, and the final results are all recorded to the data layer of the storage array to ensure the follow-up recheck verification.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (3)
1. A monitoring and alarming method for an urban comprehensive pipe gallery is suitable for a monitoring and alarming system of the urban comprehensive pipe gallery,
city utility tunnel control and alarm system, include: the system comprises a 300M optical fiber access server, a storage array, a monitoring server, a panoramic camera and a sensor data processing server; the intelligent wall is arranged in the city pipe gallery and is accessed into the server with 300M optical fibers; the FN expansion base station in the pipe rack is arranged on the intelligent wall at the inlet and outlet side in the pipe rack and is in communication connection with the 300M optical fiber access server through an optical fiber line; the entrance and exit detection door is arranged at the population of the pipe gallery and used for detecting the identity of personnel entering and exiting the pipe gallery and is in communication connection with the FN extended base station in the pipe gallery; ventilation port lid sets up and is used for guaranteeing the passageway safety of taking a breath on piping lane air regenerating device top or the well lid top of taking a breath, include: the anti-disassembly sensor, the dry battery and the FN communication terminal are in communication connection with the FN expansion base station in the pipe gallery; well head lid sets up and includes on the perpendicular inspection shaft of piping lane: the anti-disassembly sensor, the dry battery and the FN communication terminal are in communication connection with the FN expansion base station in the pipe gallery; the acousto-optic alarm system is arranged on the top side in the pipe gallery and used for providing acousto-optic alarm and is in communication connection with the FN extended base station in the pipe gallery; the electromagnetic door lock is arranged on the entrance and exit detection door and is in communication connection with the FN expansion base station in the pipe gallery;
wisdom wall, include: the pipeline frame is fixedly connected with the wall body of the pipe gallery; the active sound wave emitter is arranged on the joint surface of the pipeline frame and the pipeline, and the sound wave generating surface is jointed with the pipeline, fixedly connected with the pipeline frame and in communication connection with the FN expansion base station in the pipeline corridor; the acoustic receiver is arranged on the lower side of the pipeline frame, is fixedly connected with the pipeline frame in an attaching mode and is in communication connection with the FN extended base station in the pipeline corridor; the vibration receiver is arranged at the junction of the wall body of the pipe gallery and the ground surface of the pipe gallery and is in communication connection with the FN expansion base station in the pipe gallery;
the FN extended base station in the pipe gallery adopts a LoRA protocol access module;
the method is characterized by comprising the following steps:
a1, FN expanding base station in all pipe corridors installed in a 300M optical fiber access server communication pipe corridor, a panoramic camera in a monitoring server communication pipe corridor, and personnel information in a storage array are read;
a2, judging whether to start the personnel inspection, and jumping to the step A7 if the personnel inspection is started;
a3, reading the panoramic camera to capture the dynamic face, and jumping to A6 if the face is captured;
a4, reading out alarm signals of the entrance detection door, the vent cover and the manhole cover, and jumping to the step A6 if the alarm signals are received;
a5, sending a pipeline detection command to the intelligent wall to actively check hidden dangers of the pipeline, and jumping to the step A7 if the check result is in a problem;
a6, starting an audible and visual alarm system, tracking invasion by an intelligent wall and a panoramic camera, and arranging personnel to inspect;
a61, starting a sound wave receiver in the pipe gallery which triggers an alarm signal and gives an audible and visual alarm;
a62, collecting sound signals in the pipe gallery by a sound wave receiver;
a63, if the sound signal v in the step A62 has a large amount of clutter as it is after the acousto-optic alarm sound filtering, closing the sound alarm in the pipe gallery, and repeating the step A62 to collect the sound signal;
a64, carrying out clutter filtering on the sound signal obtained in the step A62 in a sound signal processing mode to obtain a suspected footstep sound signal;
a65, carrying out discretization processing on the continuous signal of the step A64;
a66, calculating the discrete sound signal in step a65 according to the formula:
k is the kurtosis of the variable x, E is the mathematical expectation of the variable x, and the mean value of the variable x accords with 0, and the discretization sound signal is subjected to high-order quantity accumulation judgment;
comparing the A67 with the peak value of the cumulant value, and judging the signal obtained in the step A64 to be the walking footstep sound of the person when the accumulated value is present and only 0.7-1.4 paragraphs have the accumulated value exceeding 1;
a68, uploading the position of the sound wave receiver where the A64 footstep sound signal is obtained, recording the position into a sensor data processing server, and rechecking the position by a vibration receiver;
a7, remotely opening the electromagnetic door lock to enable the inspection personnel to enter a pipe gallery by the inspection personnel comparing the identity data in the access detection door with the identity data in the storage array through the work card;
a8, reading the thermal connection state of the FN extended base station and the patrol personnel work card in the pipe gallery to accurately position the patrol personnel and storing the positioning records;
a9, comparing the actual route of the inspection staff read in the A8 with the set route in the storage array, giving a secondary alarm when the deviation value is more than 7%, and jumping to the step A6;
a10, the patrolling personnel follow and predetermine access & exit detection door exit gallery, terminate and fix a position patrolling personnel to by long-range shutting electromagnetic door lock, accomplish to patrol and examine.
2. The city utility tunnel monitoring and alarming method according to claim 1, wherein the step A5 comprises the following substeps:
b1, the sensor data processing server starts an active sound wave emitter for detecting the pipe section, and sound waves are diffused along the wall of the pipeline;
b2, receiving the sound wave diffused in the step B1 by a sound wave receiver, and recording a sound wave signal before the sound wave is attenuated;
b3, performing fourier transform on the sound wave signal in step B3, wherein the formula is as follows:
wherein t is time, ω is angular frequency, f is frequency, and v is acoustic signal;
b4, calculating the center frequency fc of the sound wave signal after fourier transform in step B3, the formula is as follows:
b5, performing band-pass filtering on the sound wave signal v according to the band-pass filtering range of the center frequency fc;
b6, carrying out amplitude spectrum identification on the filtered signal;
b7, if the phase shift or amplitude maximum attenuation problem occurs in the comparison of the amplitude spectrum identification result obtained in the step B6 and the standard result in the storage array, the step B8 is skipped, otherwise, the examination is ended;
b8, performing Hilbert transform on the sound wave signal in the step B5 to obtain an analytic signal, obtaining a phase difference phase by using the analytic signal, and obtaining a signal arrival time according to the phase difference;
b9, determining the front and back positions and the distance of the pipeline problem from the active sound wave transmitter according to the phase sequence and the arrival time of the phase, and arranging personnel for inspection.
3. The city utility tunnel monitoring and alarming method of claim 1, wherein said step a68 is performed by the vibration receiver using the processing method of steps a64 to a66 to accumulate the vibration signals in high order and determine whether the vibration is caused by the movement of people.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010062426.5A CN111260835B (en) | 2020-01-19 | 2020-01-19 | Monitoring and alarming system for urban comprehensive pipe gallery and control method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010062426.5A CN111260835B (en) | 2020-01-19 | 2020-01-19 | Monitoring and alarming system for urban comprehensive pipe gallery and control method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111260835A CN111260835A (en) | 2020-06-09 |
| CN111260835B true CN111260835B (en) | 2022-08-09 |
Family
ID=70947028
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010062426.5A Active CN111260835B (en) | 2020-01-19 | 2020-01-19 | Monitoring and alarming system for urban comprehensive pipe gallery and control method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111260835B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1926413A (en) * | 2004-10-18 | 2007-03-07 | 日本精工株式会社 | Abnormality diagnosis system for machinery |
| CN104050898A (en) * | 2013-11-27 | 2014-09-17 | 江苏大学 | Ideological and political education propaganda device and control method based on ultrasonic technology |
| CN104571062A (en) * | 2015-01-26 | 2015-04-29 | 杭州创博科技有限公司 | Town comprehensive pipe rack monitoring control and alarm system |
| CN106056523A (en) * | 2016-05-20 | 2016-10-26 | 南京航空航天大学 | Digital image stitching tampering blind detection method |
| CN106073707A (en) * | 2013-06-03 | 2016-11-09 | 飞比特公司 | The use of the gyroscope in individual's body-building tracking device and by bike activity |
| CN107203226A (en) * | 2017-06-20 | 2017-09-26 | 熊佳富 | A kind of three ring solid-states probe detected to city piping lane catch pit water level |
| CN108062959A (en) * | 2016-11-08 | 2018-05-22 | 杭州海康威视数字技术股份有限公司 | A kind of noise reduction method and device |
| CN108194843A (en) * | 2018-02-06 | 2018-06-22 | 长江大学 | A kind of method leaked using sonic detection pipeline |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100545651C (en) * | 2007-09-27 | 2009-09-30 | 上海交通大学 | Ceramic carrier embrittlement detection method in the ternary catalytic converter assembly |
| US10098569B2 (en) * | 2012-03-29 | 2018-10-16 | The University Of Queensland | Method and apparatus for processing patient sounds |
| CN105609112A (en) * | 2016-01-15 | 2016-05-25 | 苏州宾果智能科技有限公司 | Sound source positioning method and apparatus and time delay estimation method and apparatus |
| CN108877814B (en) * | 2018-05-23 | 2020-12-29 | 中南林业科技大学 | Inspection well cover theft and damage detection method, intelligent terminal and computer readable storage medium |
| CN208984990U (en) * | 2018-12-21 | 2019-06-14 | 江苏久创电气科技有限公司 | City integrated piping lane intelligent monitor system |
-
2020
- 2020-01-19 CN CN202010062426.5A patent/CN111260835B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1926413A (en) * | 2004-10-18 | 2007-03-07 | 日本精工株式会社 | Abnormality diagnosis system for machinery |
| CN106073707A (en) * | 2013-06-03 | 2016-11-09 | 飞比特公司 | The use of the gyroscope in individual's body-building tracking device and by bike activity |
| CN104050898A (en) * | 2013-11-27 | 2014-09-17 | 江苏大学 | Ideological and political education propaganda device and control method based on ultrasonic technology |
| CN104571062A (en) * | 2015-01-26 | 2015-04-29 | 杭州创博科技有限公司 | Town comprehensive pipe rack monitoring control and alarm system |
| CN106056523A (en) * | 2016-05-20 | 2016-10-26 | 南京航空航天大学 | Digital image stitching tampering blind detection method |
| CN108062959A (en) * | 2016-11-08 | 2018-05-22 | 杭州海康威视数字技术股份有限公司 | A kind of noise reduction method and device |
| CN107203226A (en) * | 2017-06-20 | 2017-09-26 | 熊佳富 | A kind of three ring solid-states probe detected to city piping lane catch pit water level |
| CN108194843A (en) * | 2018-02-06 | 2018-06-22 | 长江大学 | A kind of method leaked using sonic detection pipeline |
Non-Patent Citations (3)
| Title |
|---|
| 城市综合管廊基于物联网融合通信系统的应用;董欣刚;《建筑技术开发》;20171125;第44卷(第22期);88-89 * |
| 综合管廊安防通信一体化系统设计;蒋建彬;《现代建筑电气》;20181030(第10期);14-18 * |
| 董欣刚.城市综合管廊基于物联网融合通信系统的应用.《建筑技术开发》.2017,第44卷(第22期),88-89. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111260835A (en) | 2020-06-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102981467B (en) | one-stop integrated information integrated monitoring system | |
| CN106936218A (en) | Power distribution network synthesis monitoring system based on Internet of Things and intelligent inspection robot | |
| CN111080994B (en) | Intelligent security system based on Internet of things | |
| CN109362038A (en) | The method and system of guest flow statistics analysis and service based on WiFi probe | |
| CN205748466U (en) | A kind of dust from construction sites noise supervisory systems | |
| CN110807888A (en) | Intelligent security method, system and storage medium for park | |
| WO2018122817A1 (en) | Method for detecting human traffic in public place by using wi-fi probe | |
| CN106060478A (en) | High-altitude falling object evidence obtaining monitoring system | |
| CN104599458A (en) | Wireless intelligent video surveillance system based warning method | |
| CN113689648B (en) | Intelligent community security management system and method based on Internet of things | |
| CN207053248U (en) | A kind of intelligent patrol detection control system | |
| CN106327408A (en) | Electronic doorplate and house personnel management system | |
| CN109029550A (en) | A kind of Underground Space Environment monitoring network | |
| CN106385561A (en) | Public place video monitoring platform | |
| CN111260835B (en) | Monitoring and alarming system for urban comprehensive pipe gallery and control method thereof | |
| CN112263803A (en) | Unmanned vehicle intelligent security system based on real-time scene inspection and automatic detection fire extinguishing and control method | |
| CN114038144A (en) | AI-based community security monitoring system and method | |
| CN108846389A (en) | A kind of passenger flow analysis system and its method | |
| CN106710120A (en) | Front-end distributed forest smoke and fire identifying, locating and intelligent sensing system | |
| CN106097630A (en) | A kind of flame identification method of pair of infrared channel flame detector | |
| CN108806144A (en) | A kind of community alarm system based on 5G networks | |
| CN107767619A (en) | A kind of intelligent property security system | |
| CN110164071A (en) | A kind of security system | |
| CN110481600A (en) | Nobody autonomous integrated warning system | |
| CN113200077B (en) | Railway equipment facility state monitoring and management method and system based on 5G |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |