CN106369288B - Water supply network leakage loss monitoring system - Google Patents
Water supply network leakage loss monitoring system Download PDFInfo
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- CN106369288B CN106369288B CN201610792103.5A CN201610792103A CN106369288B CN 106369288 B CN106369288 B CN 106369288B CN 201610792103 A CN201610792103 A CN 201610792103A CN 106369288 B CN106369288 B CN 106369288B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
Abstract
The invention discloses a kind of water supply network leakage loss monitoring systems, it includes a monitoring center and an at least monitored partition, the monitored partition includes several intelligent water leakage noise meters and a host computer, the intelligent water leakage noise meter includes a noise transducer, one sef-adapting filter, one miniature control unit and a first communication module, the identification information of noise signal and corresponding intelligent water leakage noise meter is uploaded to the host computer automatically by the first communication module when the wechat control unit receives the noise signal of the sef-adapting filter output, and noise signal and identification information can be uploaded to the monitoring center and alarmed by the host computer.The system can not only tell the noise of pipe network model generation, realize the real time monitoring to water supply network, and effectively reduce the performance load of whole system so that whole system is simple and efficient.
Description
Technical field
The invention belongs to water supply and sewerage pipeline leakage loss monitoring technology fields, and in particular to a kind of water supply network leakage loss monitoring system
System.
Background technology
With the development of mobile Internet, water supply system is also gradually intelligent, this promotes office automatic degree for the system of appointing national minority hereditary headmen in the Yuan, Ming and Qing Dynasties,
And then working efficiency is improved, provide strong support.Meanwhile the arrival in big data epoch, the system of appointing national minority hereditary headmen in the Yuan, Ming and Qing Dynasties are also required in operation process
In, the level of informatization is improved, rational data foundation and data analysis are provided for the monitoring and leakage loss early warning of pipe network operation situation,
To reduce unnecessary loss.
Existing technology is essentially all whether to judge pipe network by acquisition to flow, sound or pressure and monitoring
There is leakage loss, generally requires combined use plurality of devices and can be only achieved monitoring purpose, the real-time of monitoring is poor, and these equipment
It is required for corresponding extraneous power supply to power to measure and upload data.The cooperation of existing technology either between devices
Aspect, detection efficiency aspect, secure context or stability aspect are required for further improving.
Patent CN201310096678.X discloses a kind of real-time monitoring and positioning system of pipe network water leakage comprising data acquire
Module, data transmission module, data server, terminal server, global positioning system；Wherein, data acquisition module includes peace
Sensor mounted in each collection point of each water pipe of pipe network, data transmission module include the data transmission being correspondingly arranged with sensor
Device；Realize that acquisition time synchronizes by global positioning system between each sensor.But the system is adopted there are following technical problem
Collect point sensor sensing to noise signal need to be uploaded to data server, then by telling leakage loss after being filtered
The noise signal of generation, this scheme cannot effectively filter out extraneous sound of the wind and other by airborne sound, easily by outer
The interference of boundary's noise needs to extract sound in the ideal situation.And be the real-time monitoring of real leakage loss, between sensor needs not
Noise in disconnected induction pipeline section is simultaneously uploaded to data server by data link, and this planning device long-play carries
Lotus is larger, and energy consumption is higher, higher to equipment requirement, not only increases monitoring cost, and the stability of system is also easy by shadow
It rings.
Invention content
Therefore, the present invention has noise resolution effect relatively low and real-time for water supply network water leakage monitoring in the prior art
Property poor technical problem, and it is an object of the present invention to provide a kind of noise signal that can effectively differentiate leakage loss generation and real-time are preferable
Water supply network leakage loss monitoring system.
The water supply network leakage loss monitoring system of the present invention includes an at least monitored partition and a monitoring center, the monitoring point
Area includes
At the node of several feed pipes in the monitored partition overlay area, at valve well and easily leak
Pipeline section on intelligent water leakage noise meter, the intelligent water leakage noise meter include one for induced noise and export make an uproar
The noise transducer of acoustical signal, one connect with the noise transducer for differentiating and export the noise generated by pipe network model
The sef-adapting filter of signal, one connect with the sef-adapting filter for receiving making an uproar for sef-adapting filter output
The miniature control unit of acoustical signal and the first communication module that is connect with the miniature control unit, when the miniature control
Unit processed believes noise automatically by the first communication module when receiving the noise signal of the sef-adapting filter output
Number and corresponding intelligent water leakage noise meter identification information upload；
One host computer, the host computer include one for receiving the noise signal and identification that the first communication module uploads
Information and the second communication module that data acquisition command can be sent out to the first communication module, one communicates mould with described second
The data acquisition module for acquiring noise signal and identification information that the second communication module receives of block connection, Yi Jiyi
Connect with the data acquisition module for the noise signal of the data collecting module collected and identification information to be uploaded
Third communication module；
The monitoring center is the PC terminals for being equipped with noise monitoring software, and the PC terminals include one described for receiving
Third communication module upload noise signal and identification information and can be sent out to the third communication module data acquisition life
The fourth communication module of order, the noise signal that the noise monitoring software is received for fourth communication module described in research and application
And identification information, when receiving the stable noise signal beyond preset range, the noise monitoring software sends out police immediately
Report；Noise decibel number highest in the noise signal uploaded due to the intelligent water leakage noise meter nearest from the leak source, according to
This described noise monitoring software is with the noise signal of the two intelligent water leakage noise meters induction nearest from the leak source and knowledge
Other information finds out accurate leakage loss position as correlation calculations.
The identification information include the intelligent water leakage noise meter number and geographical location and it is described intelligence leakage
The length of pipeline section between water noise recorder and adjacent intelligent water leakage noise meter.
The lookup of accurate leakage loss position can be calculated by the following formula：
Wherein D is the distance between two intelligent water leakage noise meters of leak source both sides, and V is the biography of sound in the medium
Speed is broadcast, Td is time difference of the noise transmission to two intelligent water leakage noise meters, and L is that leak source is made an uproar with closer intelligent water leakage
The distance of sound recorder, wherein D, V, Td are known or detectable, and L, which is calculated, with this can find leak source.
In the preferred embodiment of the present invention, the sef-adapting filter is minimum mean square self-adaption filter, at the moment
For n when, all noise signals that the minimum mean square self-adaption filter incudes received from the noise transducer are input
Signal indicates that the noise signal that wherein leak generates is that desired signal is indicated with d (n), the minimum mean square self-adaption with u (n)
The output signal of filter is indicated with y (n)；
Reference input vector U (n)=[u (n), u (n-1) ..., u (n-M+1)]T, M be filter tap number, 100≤M≤
1000；
Tap weights vector W (n)=[w0(n),w1(n),…,wM-1(n)]T, i.e., filter parameter vector；
Output signal y (n)=WT(n)U(n)；
Error signal e (n)=d (n)-y (n)；
The minimum mean square self-adaption filter is adjusted to Mean Vector W (n) according to error steepest descent algorithm,
Finally make the object function of the minimum mean square self-adaption filter
ξ (n)=E [e2(n)]=E [d2(n)-2d(n)y(n)+y2(n)]
Reach minimum, that is, reaches optimum filtering state.The sef-adapting filter is by the input signal containing M delay
The inner product of reference input vector U (n) and the desired tap weight vector W (n) adaptively generated obtain output signal y (n), can eliminate
The basic noise that the accidental noise and water pipe itself that the external world generates generates, to tell the noise letter generated due to leak
Number and export to the miniature control unit.
The miniature control unit is embedded with the mathematical model A=f (x) for calculating leak source area, and wherein A is leak source area, x
For the noise correlation that the intelligent water leakage noise meter detects, the mathematical model A=f (x) is to be simulated by measuring
The noise generated when a series of leak source for occurring different areas on the pipeline under water flowing state, then according to leak source area and noise
The nonlinear model that correlation is worth to.
In practical application, according to the mathematical model A=f (x) and the intelligent water leakage noise meter is actually detected arrives
Noise correlation x obtain leak source area A, leak flow can be calculated by calculating formula further according to following orifice flow, estimation leakage
Regimen gesture,
Wherein, Q is leak flow, and it is acceleration of gravity that U takes 0.62, G for leadage coefficient, and H is pressure ram.
In the preferred embodiment of the present invention, the first communication module, the second communication module, the third communication
Module and the fourth communication module are DTD433M series wireless data terminals, have RS232/RS485 standard interfaces, transparent
Transmission, transmission range are 100~3000 meters, you can realize point-to-point communication, can also realize point-to-points communication, need not write journey
Sequence need not also connect up.
In the preferred embodiment of the present invention, the noise monitoring software is preset with data acquisition command, the PC terminals
In daily morning 2：00~4：00 by the fourth communication module and the third communication module by the data acquisition command
It is sent to the host computer of each monitored partition, the host computer passes through the second communication module and first communication again
The data acquisition command is sent to the miniature control unit of each intelligent water leakage noise meter by module, described miniature
Control unit controls the adaptive filter output noise signal after receiving the data acquisition command, then the miniature control
Unit processed is uploaded to by identification information noise signal and by the first communication module and the second communication module on described
Position machine, the host computer again will be in noise signal and identification information by the third communication module and the fourth communication module
The PC terminals are reached to be handled by the noise monitoring software statistics.Setting is only in morning 2：00~4：00 is uploaded to the data
The setting of acquisition module, on the one hand the period external sound is small, minimum to the interference of the noise induction device, the result of measurement
More accurate, on the other hand, power consumption can be reduced by reducing upload number, while can meet a certain number of noise letters of acquisition
Number requirement provide rational data foundation and data analysis so as to subsequent statistical analysis for Supervisory control.
The power consumption of the intelligent water leakage noise meter is actually relatively low, and the intelligent water leakage noise meter can be used
Included battery is used to provide power supply to the noise transducer, the miniature control unit and the first communication module, and
External access power supply is not needed.
In the preferred embodiment of the present invention, each intelligent water leakage noise meter further includes a GPS positioning module,
The PC terminals are also equipped with the generalized information system for the location information for managing the GPS positioning module.The generalized information system can provide ground
Information management function is managed, the map support to pipe network ducting module is provided, when the intelligent water leakage noise meter detects leakage
When damaging noise, its physical location can be found in time.
The water supply network leakage loss monitoring system of the present invention can also be incorporated into a system with existing long-distance meter-reading system
In, water consumption and pipe network model can be monitored simultaneously.
The positive effect of the present invention is that：The water supply network leakage loss remote monitoring survey system of the present invention is by pipe network area
Domain is divided into several monitored partitions, and each monitored partition includes making an uproar for monitoring several intelligent water leakages of noise in water supply pipeline
Sound recorder, the adaptive-filtering in the intelligent water leakage noise meter can effectively filter out extraneous noise, work as pipeline leakage
When, it uploads when can tell the noise signal generated by leakage loss in time and automatically, and when the relevant noise signal of the non-leakage loss of pipeline,
Do not receive data acquisition life when noise signal need not be uploaded, with this effectively reduce whole system performance load and
Cost so that the data transmission of whole system and processing are simple and efficient.In addition, the miniature control unit is embedded with calculating leak source
The mathematical model of area can calculate the corresponding leak source area of the noise correlation detected, in turn according to the mathematical model
It obtains leak flow, leakage loss situation is estimated, and the monitoring for being conducive to water supply official website is safeguarded.To sum up, the pipe network of the system
Leakage loss monitoring cost is relatively low, and control real-time and accuracy are higher.
Description of the drawings
Fig. 1 is the schematic diagram of the water supply network leakage loss monitoring system of the present invention；
Fig. 2 is the data transmission schematic diagram of the water supply network leakage loss monitoring system of the present invention.
Specific implementation mode
The water supply network leakage loss monitoring system of the present invention is made further below with reference to specific embodiments and the drawings
It is bright.
The water supply network leakage loss monitoring system of the preferred embodiment of the present invention is as shown in Figure 1 comprising 1 He of monitoring center
Several monitored partitions 2.Each monitored partition 2 includes again 21 and one host computer 22 of several intelligent water leakage noise meters, can be covered
Monitor the feed pipe leakage loss of certain area.
Monitoring center 1 includes the PC terminals 11 for being equipped with noise monitoring software and GIS software, and PC terminals 11 are connected with the 4th
Communication module 111.
Intelligent water leakage noise meter 21 be mounted on 2 overlay area of monitored partition in feed pipe node at, valve well
In place and the pipeline section easily leaked.As shown in Fig. 2, intelligent water leakage noise meter 21 include noise transducer 211, it is adaptive
Filter 212, microcontroller 213, the first wireless communication module 214 and one are used to provide the battery of power supply to said modules.It makes an uproar
Sonic transducer 211 is for incuding the noise in the pipeline section of both sides and being filtered noise signal transmission to sef-adapting filter 212
Processing.
Sef-adapting filter 212 is minimum mean square self-adaption filter, when being constantly n, minimum mean square self-adaption filtering
All noise signals of the device received from noise transducer sense are that input signal is indicated with u (n), the noise letter that wherein leak generates
Number indicate that the output signal of minimum mean square self-adaption filter is indicated with y (n) for desired signal d (n)；
Reference input vector U (n)=[u (n), u (n-1) ..., u (n-M+1)]T, M is filter tap number, M=1000；
Tap weights vector W (n)=[w0(n),w1(n),…,wM-1(n)]T, i.e., filter parameter vector；
Output signal y (n)=WT(n)U(n)；
Error signal e (n)=d (n)-y (n)；
Minimum mean square self-adaption filter is adjusted to Mean Vector, finally W (n) according to error steepest descent algorithm
Make the object function of minimum mean square self-adaption filter
ξ (n)=E [e2(n)]=E [d2(n)-2d(n)y(n)+y2(n)]
Reach minimum, that is, reaches optimum filtering state.
The recordable processing of microcontroller 213 receives the noise signal from sef-adapting filter 212 and by the first channel radio
Believe that module 214 uploads noise signal and preset identification information, identification information includes the volume of intelligent water leakage noise meter 21
The length of pipeline section number between geographical location and intelligent water leakage noise meter 21 and adjacent intelligent water leakage noise meter 21
Degree.
Host computer 22 includes a noise signal and identification information for receiving the upload of first communication module 214 and to first
The second communication module 221 of 214 transmission data acquisition of communication module, one connect with second communication module 221 for adopting
Collect the data acquisition module 222 and one and data acquisition module of noise signal and identification information that second communication module 221 receives
What block 222 connected is used to noise signal and identification information that data acquisition module 222 acquires being uploaded to fourth communication module 111
Third communication module 223.
Wherein first communication module 214, second communication module 221, third communication module 223 and fourth communication module 111
For DTD433M series wireless data terminals.
Operation principle flow：
1, leakage loss monitors：Fig. 2 simply illustrates the process that the data acquisition of single intelligent water leakage noise meter uploads.It makes an uproar
Sonic transducer 211 can incude the noise in the feed pipe pipeline section of 21 both sides of leak noise meter and be transmitted to adaptive filter in real time
Wave device 212, sef-adapting filter 212 can run a variety of filtering combinations until finding most suitably used filtering, by containing in several seconds
The inner product of the reference input vector U (n) of the input signal of 1000 delays and the desired tap weight vector W (n) adaptively generated
Output signal y (n) is obtained, the basic noise that the accidental noise and water pipe itself that the external world generates is generated is eliminated, to divide
It discerns the noise signal generated due to pipe network model and exports to microcontroller 211, then microcontroller 211 passes through first communication module
213 and second communication module 221 noise signal and identification information are uploaded to host computer 22, then pass through third communication module 223
With fourth communication module 111 PC terminals 11 are uploaded to be analyzed by noise monitoring software, when noise signal be more than preset range when and
Shi Jinhang alarms.
2, the timing acquiring of data：First, the noise monitoring software of PC terminals 11 is preset with data acquisition command, and in every
Its morning 2：00~4：00 data acquisition command is sent to by fourth communication module 111 and third communication module 223 it is each
The host computer 22 of monitored partition, each host computer 22 are sent to by second communication module 221 and the first communication module 214 each again
Microcontroller 213, microcontroller 213 receive control noise transducer 211 and the output of sef-adapting filter 212 after data acquisition command
Noise signal, and noise signal and identification information be uploaded to by first communication module 214 and second communication module 221 upper
Machine 22, then PC terminals 11 are uploaded to by noise monitoring software statistics point by third communication module 223 and fourth communication module 111
Analysis.By the noise data of timing acquiring pipe network and database is established, can be provided reasonably for the monitoring and leakage loss early warning of pipe network
Data foundation and data analysis.
3, leak source is accurately searched：The lookup of accurate leakage loss position can be calculated by the following formula,
Wherein D is the distance between two intelligent water leakage noise meters of leak source both sides, and V is the biography of sound in the medium
Speed is broadcast, Td is time difference of the noise transmission to two intelligent water leakage noise meters, and L is that leak source is made an uproar with closer intelligent water leakage
The distance of sound recorder, wherein D, V, Td are known or detectable, and L, which is calculated, with this can find leak source.
4, the calculating of leak flow：The mathematical model A=f (x) of leak source area is calculated by being embedded in microcontroller 213,
Middle A is leak source area, and x is the noise correlation that intelligent water leakage noise meter detects, mathematical model A=f (x) is to pass through survey
Cover half intends the noise generated when there is a series of leak source of different areas on the pipeline under water flowing state, then according to leak source area
The nonlinear model being worth to related to noise.After obtaining leak source area A, calculating formula further according to following orifice flow can count
Leak flow is calculated, leak situation is estimated,
Wherein, Q is leak flow, and it is acceleration of gravity that U takes 0.62, G for leadage coefficient, and H is pressure ram.
Claims (7)
1. a kind of water supply network leakage loss monitoring system, which is characterized in that it includes a monitoring center and an at least monitored partition, institute
Stating monitored partition includes：
The pipe at the node of several feed pipes in the monitored partition overlay area, at valve well and easily leaked
Intelligent water leakage noise meter in section, the intelligent water leakage noise meter include one for induced noise and output noise letter
Number noise transducer, one connect with the noise transducer for differentiating and export the noise signal generated by pipe network model
Sef-adapting filter, a noise letter for receiving sef-adapting filter output being connect with the sef-adapting filter
Number the first communication module that is connect with the miniature control unit of miniature control unit and one, when the miniature control list
When member receives the noise signal of sef-adapting filter output automatically by the first communication module by noise signal and
The identification information of corresponding intelligent water leakage noise meter uploads；
One host computer, the host computer include the noise signal and identification information uploaded for receiving the first communication module
And the second communication module of data acquisition command can be sent out to the first communication module, one connects with the second communication module
The data acquisition module for acquiring noise signal and identification information that the second communication module receives connect and one and institute
State the third for uploading the noise signal of the data collecting module collected and identification information of data acquisition module connection
Communication module；
The monitoring center is the PC terminals for being equipped with noise monitoring software, and the PC terminals include one for receiving the third
Communication module upload noise signal and identification information and data acquisition command can be sent out to the third communication module
Fourth communication module, the noise monitoring software are used for the noise signal and knowledge that fourth communication module receives described in research and application
Other information, when receiving the stable noise signal beyond preset range, the noise monitoring software sends out alarm immediately；By
Noise decibel number highest in the noise signal that the intelligent water leakage noise meter nearest from the leak source uploads, it is described accordingly
Noise monitoring software is with the noise signal and identification information of the two intelligent water leakage noise meters induction nearest from the leak source
Accurate leakage loss position is found out as correlation calculations；The identification information include the intelligent water leakage noise meter number and
The length of pipeline section between geographical location and the intelligent water leakage noise meter and adjacent intelligent water leakage noise meter；
The lookup of accurate leakage loss position can be calculated by the following formula：
Wherein D is the distance between two intelligent water leakage noise meters of leak source both sides, and V is the propagation speed of sound in the medium
Degree, Td are time difference of the noise transmission to two intelligent water leakage noise meters, and L is that leak source is remembered with closer intelligent water leakage noise
The distance of instrument is recorded, wherein D, V, Td is known or detectable, and L, which is calculated, with this can find leak source.
2. water supply network leakage loss monitoring system as described in claim 1, which is characterized in that the sef-adapting filter is minimum
Square sef-adapting filter, when being constantly n, the minimum mean square self-adaption filter incudes received from the noise transducer
All noise signals be input signal with u (n) indicate, wherein leak generate noise signal be desired signal d (n) tables
Show, the output signal of the minimum mean square self-adaption filter is indicated with y (n)；
Reference input vector U (n)=[u (n), u (n-1) ..., u (n-M+1)]T, M is filter tap number, 100≤M≤1000；
Tap weights vector W (n)=[w0(n),w1(n),…,wM-1(n)]T, i.e., filter parameter vector；
Output signal y (n)=WT(n)U(n)；
Error signal e (n)=d (n)-y (n)；
The minimum mean square self-adaption filter is adjusted to Mean Vector, finally W (n) according to error steepest descent algorithm
Make the object function of the minimum mean square self-adaption filter
ξ (n)=E [e2(n)]=E [d2(n)-2d(n)y(n)+y2(n)]
Reach minimum, that is, reaches optimum filtering state.
3. water supply network leakage loss monitoring system as described in claim 1, which is characterized in that the miniature control unit is embedded with
The mathematical model A=f (x) of leak source area is calculated, wherein A is leak source area, and x is that the intelligent water leakage noise meter detects
Noise correlation, the mathematical model A=f (x) be by measurement simulate water flowing state under pipeline on occur it is a series of not
With area leak source when the noise that generates, then according to the leak source area nonlinear model being worth to related to noise；According to institute
State mathematical model A=f (x) and the intelligent water leakage noise meter it is actually detected to noise correlation x obtain leak source area A
Afterwards, leak flow can be calculated by calculating formula further according to orifice flow.
4. water supply network leakage loss monitoring system as described in claim 1, which is characterized in that the first communication module, described
Second communication module, the third communication module and the fourth communication module are DTD433M series wireless data terminals.
5. water supply network leakage loss monitoring system as described in claim 1, which is characterized in that the noise monitoring software is preset with
Data acquisition command, the PC terminals are in daily morning 2：00~4：00 passes through the fourth communication module and the third communication
The data acquisition command is sent to the host computer of each monitored partition by module, and the host computer passes through described second again
The data acquisition command is sent to each intelligent water leakage noise meter by communication module and first communication module
Miniature control unit, the miniature control unit, which receives, controls the adaptive filter output after the data acquisition command
Noise signal, then the miniature control unit by identification information noise signal and pass through the first communication module and described
Two communication modules are uploaded to the host computer, and the host computer passes through the third communication module and the fourth communication module again
Noise signal and identification information are uploaded to the PC terminals to be handled by the noise monitoring software statistics.
6. water supply network leakage loss monitoring system as described in claim 1, which is characterized in that the intelligent water leakage noise meter
Come with the battery for providing power supply to the noise transducer, the miniature control unit and the first communication module.
7. water supply network leakage loss monitoring system as described in claim 1, which is characterized in that each intelligent water leakage noise note
It further includes a GPS positioning module to record instrument, and the PC terminals are also equipped with the GIS for the location information for managing the GPS positioning module
Software.
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| CN107480705B (en) * | 2017-07-24 | 2020-09-11 | 厦门快商通科技股份有限公司 | Tap water pipe water leakage detection method |
| CN107817075A (en) * | 2017-09-30 | 2018-03-20 | 上海邦芯物联网科技有限公司 | A kind of GPS tracing systems for pipeline leak detection |
| CN109949826A (en) * | 2019-03-15 | 2019-06-28 | 安徽工程大学 | A kind of lavatory intelligent water leakage monitoring system based on ambient sound identification |
| CN110131593A (en) * | 2019-05-18 | 2019-08-16 | 北京化工大学 | Pipe leakage assisted detection system based on big data platform |
| CN110159929B (en) * | 2019-05-31 | 2020-11-24 | 万基泰科工集团西南科技有限公司 | Intelligent control big data processing method for underground drainage pipe network |
| CN110440148B (en) * | 2019-07-15 | 2021-07-13 | 清华大学 | Method, device and system for classifying and identifying leakage acoustic signals |
| CN111006137B (en) * | 2019-12-18 | 2021-12-17 | 北京无线电计量测试研究所 | Water supply pipeline leakage monitoring and leakage positioning method and system |
| CN112750284A (en) * | 2020-12-24 | 2021-05-04 | 浙江大学 | Pipe network leakage monitoring system based on independent metering partitions |
| CN113007615A (en) * | 2021-03-16 | 2021-06-22 | 中铁第四勘察设计院集团有限公司 | Quick leak detection system for railway water supply pipe network |
| CN114136437A (en) * | 2021-11-27 | 2022-03-04 | 上海满盛信息技术有限公司 | Noise leakage detection management system and method based on Internet of things and machine learning |
| CN115140264B (en) * | 2022-05-17 | 2023-07-25 | 中船黄埔文冲船舶有限公司 | Partition debugging method |
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