CN110500513B - Liquid leakage detection method and system - Google Patents
Liquid leakage detection method and system Download PDFInfo
- Publication number
- CN110500513B CN110500513B CN201810469695.6A CN201810469695A CN110500513B CN 110500513 B CN110500513 B CN 110500513B CN 201810469695 A CN201810469695 A CN 201810469695A CN 110500513 B CN110500513 B CN 110500513B
- Authority
- CN
- China
- Prior art keywords
- target data
- group
- leakage
- signals
- acquiring
- 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
- 239000007788 liquid Substances 0.000 title claims abstract description 86
- 238000001514 detection method Methods 0.000 title claims abstract description 43
- 239000011358 absorbing material Substances 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 15
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 5
- 238000010606 normalization Methods 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
- 238000013145 classification model Methods 0.000 claims description 2
- 239000003921 oil Substances 0.000 description 4
- 238000010521 absorption reaction Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 108010076504 Protein Sorting Signals Proteins 0.000 description 1
- 230000002745 absorbent Effects 0.000 description 1
- 239000002250 absorbent Substances 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000000498 cooling water Substances 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000010687 lubricating oil Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Acoustics & Sound (AREA)
- Mechanical Engineering (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The embodiment of the invention provides a liquid leakage detection method and a system, comprising the following steps: receiving signals reflected by the RFID label packaged by the liquid absorbing material at different times, and acquiring RSSI values of the signals; and detecting leakage according to the RSSI values of the signals at different moments. The invention can know whether the equipment to be detected leaks or not in real time. In addition, the RFID tag obtains energy by absorbing radio frequency signals, does not operate in a charged mode, and does not affect the normal operation of equipment to be detected; the normal operation of the equipment to be detected cannot be influenced when the RFID label packaged by the liquid absorbing material acquires a signal for detecting whether liquid leakage exists or not subsequently, so that the liquid absorbing material is applicable to any application scene.
Description
Technical Field
The embodiment of the invention relates to the technical field of leakage detection, in particular to a leakage detection method and system.
Background
Liquid delivery and circulation systems, for example: lubricating oil conveying and circulating systems, cooling water conveying and circulating systems and the like are widely used in industry. The pipes for transporting the liquid are not integrally formed due to the limitations of the manufacturing process and the cost. The joint between the pipeline and the pipeline, and between the pipeline and other equipment, is generally connected by means of screw connection, flange connection, welding connection, and the like. Fluid leakage may occur at these connections when the connection is not properly installed or when fluid pressure exceeds a tolerable threshold, for example. According to different application scenes, liquid leakage can cause different consequences, so that a corresponding circulating system fails if the liquid leakage happens, and safety accidents such as short circuit and fire disasters can be caused if the liquid leakage happens, so that life and property losses are caused. Therefore, leakage detection is essential for the liquid delivery and circulation system.
At present, in an industrial scene with low requirements, leakage detection is generally completed manually; in a few demanding scenarios, leak detection is typically accomplished by using an electrode-type leak sensor. When the leakage is detected manually, the inspector needs to check whether the pipeline connecting port has the leakage condition by means of visual inspection and touch regularly. This approach does not allow real-time monitoring over the entire period of time and thus may not be detected and repaired immediately upon the occurrence of a leak. When the electrode type leakage sensor is used for leakage detection, the conductive property of liquid is mainly utilized, and when the liquid appears, the impedance between the positive electrode and the negative electrode is reduced, so that the electrodes are short-circuited, and an alarm is given. However, this intrusive sensing approach is not suitable for all application scenarios, such as: oil circulation systems do not allow the intrusion of live equipment into the oil circulation due to fire fighting considerations.
Disclosure of Invention
The embodiment of the invention provides a liquid leakage detection method, which is used for solving the problems that the existing liquid leakage detection method cannot meet the requirement of real-time monitoring in all time periods and is suitable for all application scenes.
The embodiment of the invention provides a liquid leakage detection method, which comprises the following steps: receiving signals reflected by the RFID label packaged by the liquid absorbing material at different times, and acquiring RSSI values of the signals; and detecting leakage according to the RSSI values of the signals at different moments.
The embodiment of the invention provides a liquid leakage detection system, which comprises: the RFID system comprises an RFID tag, an RFID reader, an antenna and a data processing module; the RFID tag is used for being arranged at a position to be detected; the RFID reader is respectively connected with the antenna and the data processing module; the antenna is used for receiving signals reflected by the RFID tag at different times and transmitting the signals to the RFID reader; the RFID reader is used for receiving the signal and sending the signal to the data processing module; and the data processing module is used for acquiring the RSSI value of the signal and detecting leakage according to the RSSI value of the signal at different moments.
The embodiment of the invention provides a liquid leakage detection device, which comprises: at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, which when called by the processor are capable of performing the method as described above.
Embodiments of the present invention provide a non-transitory computer readable storage medium storing computer instructions that cause the computer to perform the method as described above.
According to the liquid leakage detection method and system provided by the embodiment of the invention, the signals reflected by the RFID tags packaged by the liquid absorbing material at different moments are received, and the RSSI value of the signals is obtained; and (4) according to the RSSI values of the signals at different moments, carrying out leakage detection, and acquiring whether the equipment to be detected leaks or not in real time. In addition, the RFID tag obtains energy by absorbing radio frequency signals, does not operate in a charged mode, and does not affect the normal operation of equipment to be detected; the normal operation of the equipment to be detected cannot be influenced when the RFID label packaged by the liquid absorbing material acquires a signal for detecting whether liquid leakage exists or not subsequently, so that the liquid absorbing material is applicable to any application scene.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of a method for detecting leakage according to the present invention;
FIG. 2 is a graph showing the variation of RSSI value with the amount of leakage liquid according to the present invention;
FIG. 3(a) is a graph showing variation in RSSI value in a non-leakage state according to the present invention;
FIG. 3(b) is a graph showing the variation of RSSI value in a liquid leakage state according to the present invention;
fig. 4 is a schematic structural diagram of an embodiment of the liquid leakage detection system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for detecting liquid leakage, including: 101. receiving signals reflected by the RFID label packaged by the liquid absorbing material at different times, and acquiring RSSI values of the signals; 102. and detecting leakage according to the RSSI values of the signals at different moments.
In this embodiment, an RFID tag wrapped in a liquid absorbent material may be attached to the connection of the pipes where leakage of liquid from the device to be tested is likely to occur. And transmitting radio frequency signals and periodically reading signals reflected by the RFID tags by a nearby deployed RFID reader, and uploading the signals to a data analysis program for analysis. Since liquid has an absorption effect on radio frequency signals, when liquid exists in the liquid absorbing material for packaging the RFID tag and no liquid exists in the liquid absorbing material, the RSSI and the phase value of the signal reflected by the RFID tag are different, and fig. 2 shows that the RSSI value changes along with the water amount in the liquid absorbing material on the back surface of the RFID tag. Therefore, the data analysis program can capture the change from the signal sequence to judge whether leakage occurs or not, and can alarm when leakage is judged to occur. In addition, since some devices to be monitored are in an environment where the signals reflected by the RFID tags can only strangely have certain noise, the signals may be denoised before the RSSI value is obtained, and preferably, the noise is denoised by using a butterworth low-pass filter.
Filtering RSSI value by Butterworth low-pass filter for tag signal noise reduction module
According to the liquid leakage detection method provided by the embodiment of the invention, signals reflected by RFID tags packaged by liquid absorbing materials at different moments are received, and RSSI values of the signals are obtained; and (4) according to the RSSI values of the signals at different moments, carrying out leakage detection, and acquiring whether the equipment to be detected leaks or not in real time. In addition, the RFID tag obtains energy by absorbing radio frequency signals, does not operate in a charged mode, and does not affect the normal operation of equipment to be detected; the normal operation of the equipment to be detected cannot be influenced when the RFID label packaged by the liquid absorbing material acquires a signal for detecting whether liquid leakage exists or not subsequently, so that the liquid absorbing material is applicable to any application scene.
As an optional embodiment, the detecting of liquid leakage according to RSSI values of signals at different times specifically includes: dividing the RSSI values of the signals at different moments into a plurality of groups according to the time sequence, and acquiring the stable state of each group; dividing the small groups into a plurality of large groups according to the chronological order; acquiring a target data set of each large group according to the stable state of each small group in each large group; performing feature extraction on each target data group in the target data group set to obtain target data features; and inputting the target data characteristics into a leakage detection model, and judging whether leakage occurs or not.
In the present embodiment, the determination is made using a group of RSSI value data that are adjacent in time, considering that a single RSSI value may be interfered. The packet may use a length window and a time window. In consideration of the fact that when the length window is used, the calculation of the time for acquiring the data with the specific length is complex to implement and has a certain error, in this embodiment, the time window is adopted, that is, the data acquired within the specific time length is divided into a group. Furthermore, different types of liquids absorb radio frequency signals differently, for example: the water can change the RSSI value of the signal reflected by the RFID tag in a short time, while the oil takes a longer time to affect the RSSI value of the signal reflected by the RFID tag. Thus, the length of the time window may be selected for different liquid types. In the present embodiment, it is preferable that the time window length for water leakage detection is 20 seconds, and the time window length for oil leakage detection is 60 seconds.
In this embodiment, the steady state represents the fluctuation of RSSI values in the group. And when liquid leaks, the fluctuation of the RSSI value is large. Therefore, the stable state of each small group can be obtained to preliminarily estimate whether the device to be detected leaks or not in the corresponding time period of each small group.
In this embodiment, the data processing speed can be increased by dividing the small groups into a plurality of large groups and performing the determination in units of the large groups. The target data set for each large group is a merged group of unstable state subgroups or adjacent unstable state subgroups in the large group.
As an optional embodiment, the acquiring the stable state of each group specifically includes: and acquiring the variance of each group of RSSI values, and marking the group with the variance larger than a preset threshold as an unstable state.
In this embodiment, the variance of each set of RSSI values represents the fluctuation of each set of RSSI values, and when the fluctuation of each set of RSSI values is large, i.e. each set of RSSI values is unstable, there may be liquid leakage.
As an optional embodiment, the obtaining a target data group set of each large group according to the stable state of each small group in each large group specifically includes: combining small groups which are adjacent in time and are in an unstable state in each large group into a target data group; the individual group in each large group that is in an unstable state is taken as the target data group.
In this embodiment, when performing leakage detection on a group based on an unstable state, each set of data needs to be processed to determine whether the group has leakage in a corresponding time period. The time periods corresponding to the adjacent groups in the unstable state can have water leakage, namely, the water leakage detection results are consistent, and the groups in the large groups which are adjacent in time and in the unstable state are combined into one group for processing, so that the processing speed can be increased.
As an optional embodiment, the performing feature extraction on each target data group in the target data group set to obtain the target data features specifically includes: extracting the characteristics of each target data group in the target data group set, and acquiring the length, the variance, the dynamic time integral distance and the distance from an initial value of each target data group in the target data group set as the target data characteristics; the dynamic time normalization distance is obtained by performing dynamic time normalization on each target data group and the historical water leakage data group; the initial value is an initial value for each target data set.
In this embodiment, the dynamic time warping distance represents the possibility of a water leak in the target data set. The initial value used in the distance from the initial value is the mean of the RSSI values of the first subgroup of the large group that is earlier in time. It is used as a reference for subsequent RSSI values.
As an optional embodiment, the inputting the target data characteristics into the liquid leakage detection model to determine whether liquid leakage occurs specifically includes: and inputting the target data characteristics into a leakage detection model to obtain the probability of leakage in a time period corresponding to the target data characteristics.
In this embodiment, the liquid leakage detection model may include a first model trained from the signal corresponding feature acquired in the liquid leakage state and a second model trained from the signal corresponding feature acquired in the non-liquid leakage state. And inputting the target data characteristics into the first model and the second model respectively to obtain the probability of liquid leakage and the probability value of liquid leakage. And when the probability of no liquid leakage is small and the probability value of liquid leakage is large, judging that the liquid leakage exists.
As an optional embodiment, the inputting the target data characteristics into the liquid leakage detection model to determine whether liquid leakage occurs specifically includes: inputting the target data characteristics into a leakage model, and acquiring the probability of leakage and a first state sequence within a time period corresponding to the target data characteristics; inputting the target data characteristics into a non-leakage model, and acquiring the probability of no leakage within a time period corresponding to the target data characteristics and a second state sequence; and inputting the probability of liquid leakage, the first state sequence, the probability of liquid leakage and the second state sequence in the time period corresponding to the target data characteristics into a classification model, and judging whether liquid leakage occurs in the time period corresponding to the target data characteristics.
In the present embodiment, as shown in fig. 3(a), the RSSI value of the signal acquired in the non-leakage state is either constant or slightly fluctuated, and as shown in fig. 3(b), the RSSI value of the signal acquired in the leakage state is constant before the leakage starts, and is unstably decreased upon leakage and then is stabilized at a lower value or disappears. In addition, certain errors may be caused by judging leakage according to the characteristic probability values corresponding to certain special RSSI value groups, so that in order to improve the accuracy of judgment, the non-leakage model is a model which is obtained by training corresponding characteristics of signals acquired in a non-leakage state and comprises two hidden states, and the leakage model is a model which is obtained by training corresponding characteristics of signals acquired in a leakage state and comprises four hidden states. The first state sequence corresponds to two implicit states contained in the non-leakage model. The second state sequence corresponds to four implicit states contained in the leakage model.
As shown in fig. 4, an embodiment of the present invention provides a liquid leakage detection system, including: an RFID tag 41, an RFID reader 42, an antenna 43, and a data processing module 44; the RFID tag 41 is used for being arranged at a position to be detected; the RFID reader 42 is respectively connected with the antenna 43 and the data processing module 44; the antenna 43 is used for receiving the signal of the RFID tag 41 and transmitting the signal to the RFID reader 42; the RFID reader 42 is used for receiving the signal and sending the signal to the data processing module 44; the data processing module 44 is configured to obtain RSSI values of the signals, and perform liquid leakage detection according to the RSSI values of the signals at different times.
According to the liquid leakage detection system provided by the embodiment of the invention, the signals reflected by the RFID labels packaged by the liquid absorption material at different moments are received, and the RSSI value of the signals is obtained; and (4) according to the RSSI values of the signals at different moments, carrying out leakage detection, and acquiring whether the equipment to be detected leaks or not in real time. In addition, the RFID tag obtains energy by absorbing radio frequency signals, does not operate in a charged mode, and does not affect the normal operation of equipment to be detected; the normal operation of the equipment to be detected cannot be influenced when the RFID label packaged by the liquid absorbing material acquires a signal for detecting whether liquid leakage exists or not subsequently, so that the liquid absorbing material is applicable to any application scene.
The embodiment of the invention provides a liquid leakage detection device, which comprises: at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the method provided by the method embodiments, for example, the method includes: 101. receiving signals reflected by the RFID label packaged by the liquid absorbing material at different times, and acquiring RSSI values of the signals; 102. and detecting leakage according to the RSSI values of the signals at different moments.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: 101. receiving signals reflected by the RFID label packaged by the liquid absorbing material at different times, and acquiring RSSI values of the signals; 102. and detecting leakage according to the RSSI values of the signals at different moments.
The above-described system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A method of detecting a leak, comprising:
receiving signals reflected by the RFID label packaged by the liquid absorbing material at different times, and acquiring RSSI values of the signals;
according to the RSSI values of the signals at different moments, carrying out leakage detection;
the liquid leakage detection is performed according to the RSSI values of the signals at different times, and specifically includes:
dividing the RSSI values of the signals at different moments into a plurality of groups according to the time sequence, and acquiring the stable state of each group;
dividing the small groups into a plurality of large groups according to the chronological order;
acquiring a target data set of each large group according to the stable state of each small group in each large group;
performing feature extraction on each target data group in the target data group set to obtain target data features;
and inputting the target data characteristics into a leakage detection model, and judging whether leakage occurs or not.
2. The method of claim 1, wherein the obtaining the steady state of each group specifically comprises: and acquiring the variance of each group of RSSI values, and marking the group with the variance larger than a preset threshold as an unstable state.
3. The method according to claim 2, wherein the obtaining the target data group set of each big group according to the steady state of each small group in each big group specifically comprises:
combining small groups which are adjacent in time and are in an unstable state in each large group into a target data group;
the individual group in each large group that is in an unstable state is taken as the target data group.
4. The method according to claim 3, wherein the performing feature extraction on each target data group in the target data group set to obtain target data features specifically comprises:
extracting the characteristics of each target data group in the target data group set, and acquiring the length, the variance, the dynamic time integral distance and the distance from an initial value of each target data group in the target data group set as the target data characteristics; the dynamic time normalization distance is obtained by performing dynamic time normalization on each target data group and the historical water leakage data group; the initial value is an initial value for each target data set.
5. The method according to claim 4, wherein the inputting the target data characteristics into a liquid leakage detection model to determine whether liquid leakage occurs specifically comprises:
and inputting the target data characteristics into a leakage detection model to obtain the probability of leakage in a time period corresponding to the target data characteristics.
6. The method according to claim 4, wherein the inputting the target data characteristics into a liquid leakage detection model to determine whether liquid leakage occurs specifically comprises:
inputting the target data characteristics into a leakage model, and acquiring the probability of leakage and a first state sequence within a time period corresponding to the target data characteristics;
inputting the target data characteristics into a non-leakage model, and acquiring the probability of no leakage within a time period corresponding to the target data characteristics and a second state sequence;
and inputting the probability of liquid leakage, the first state sequence, the probability of liquid leakage and the second state sequence in the time period corresponding to the target data characteristics into a classification model, and judging whether liquid leakage occurs in the time period corresponding to the target data characteristics.
7. A leak detection system, comprising: the RFID system comprises an RFID tag, an RFID reader, an antenna and a data processing module; the RFID tag is used for being arranged at a position to be detected; the RFID reader is respectively connected with the antenna and the data processing module;
the antenna is used for receiving signals reflected by the RFID tag at different times and transmitting the signals to the RFID reader;
the RFID reader is used for receiving the signal and sending the signal to the data processing module;
the data processing module is used for acquiring the RSSI value of the signal and detecting liquid leakage according to the RSSI value of the signal at different moments;
the liquid leakage detection is performed according to the RSSI values of the signals at different times, and specifically includes:
dividing the RSSI values of the signals at different moments into a plurality of groups according to the time sequence, and acquiring the stable state of each group;
dividing the small groups into a plurality of large groups according to the chronological order;
acquiring a target data set of each large group according to the stable state of each small group in each large group;
performing feature extraction on each target data group in the target data group set to obtain target data features;
and inputting the target data characteristics into a leakage detection model, and judging whether leakage occurs or not.
8. A liquid leakage detection apparatus, comprising:
at least one processor; and at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 6.
9. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1-6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810469695.6A CN110500513B (en) | 2018-05-16 | 2018-05-16 | Liquid leakage detection method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810469695.6A CN110500513B (en) | 2018-05-16 | 2018-05-16 | Liquid leakage detection method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110500513A CN110500513A (en) | 2019-11-26 |
CN110500513B true CN110500513B (en) | 2020-11-20 |
Family
ID=68583804
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810469695.6A Active CN110500513B (en) | 2018-05-16 | 2018-05-16 | Liquid leakage detection method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110500513B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10926206B1 (en) * | 2020-02-06 | 2021-02-23 | Haier Us Appliance Solutions, Inc. | Filter assembly with leak detection features |
CN112164051A (en) * | 2020-09-29 | 2021-01-01 | 中国船舶重工集团公司第七二四研究所 | Radar antenna area array liquid leakage detection device and method based on image analysis |
CN113671146B (en) * | 2021-10-22 | 2022-03-18 | 深圳市弘业自动化技术有限公司 | Underground detector capable of detecting combustible gas |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006189322A (en) * | 2005-01-06 | 2006-07-20 | Shimizu Corp | Radio detection element and water leakage detection device using the same |
JP2007163255A (en) * | 2005-12-13 | 2007-06-28 | Mitsubishi Materials Corp | Water leak detection method, water leak detection system and rfid tag |
CN202361084U (en) * | 2011-09-21 | 2012-08-01 | 力晶科技股份有限公司 | Pipeline leakage monitoring device |
DE102011100451A1 (en) * | 2011-04-27 | 2012-10-31 | Gerd Müller | Data transfer apparatus for controlling tightness of industrial building with respect to atmospheric environmental condition, has radio frequency identification sensors to determine water leakage in seal portion of building |
CN102852291A (en) * | 2012-04-09 | 2013-01-02 | 百安力钢结构应用科技有限公司 | Metal roof water leakage detecting system and method for detecting metal roof water leakage |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4939926A (en) * | 1989-06-05 | 1990-07-10 | The United States Of America As Represented By The Secretary Of The Navy | Apparatus and method for monitoring pressure leaks from a sealed system |
CN201215523Y (en) * | 2007-12-07 | 2009-04-01 | 财团法人工业技术研究院 | Non-contact water leakage detection apparatus |
CN201310755Y (en) * | 2008-12-09 | 2009-09-16 | 北京埃德尔澳珂工程技术有限公司 | Liquid pressure conduit leakage detecting device |
CN202252861U (en) * | 2011-09-23 | 2012-05-30 | 苏州大学 | Pipeline system based on RFID (Radio Frequency Identification Device) technology |
US9274020B2 (en) * | 2013-10-14 | 2016-03-01 | General Electric Company | System and a method for detecting liquid water |
-
2018
- 2018-05-16 CN CN201810469695.6A patent/CN110500513B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006189322A (en) * | 2005-01-06 | 2006-07-20 | Shimizu Corp | Radio detection element and water leakage detection device using the same |
JP2007163255A (en) * | 2005-12-13 | 2007-06-28 | Mitsubishi Materials Corp | Water leak detection method, water leak detection system and rfid tag |
DE102011100451A1 (en) * | 2011-04-27 | 2012-10-31 | Gerd Müller | Data transfer apparatus for controlling tightness of industrial building with respect to atmospheric environmental condition, has radio frequency identification sensors to determine water leakage in seal portion of building |
CN202361084U (en) * | 2011-09-21 | 2012-08-01 | 力晶科技股份有限公司 | Pipeline leakage monitoring device |
CN102852291A (en) * | 2012-04-09 | 2013-01-02 | 百安力钢结构应用科技有限公司 | Metal roof water leakage detecting system and method for detecting metal roof water leakage |
Also Published As
Publication number | Publication date |
---|---|
CN110500513A (en) | 2019-11-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110500513B (en) | Liquid leakage detection method and system | |
EP2977787A1 (en) | System and method for monitoring optical subsystem performance in cloud lidar systems | |
CN102673979B (en) | Method and device for judging deviation of conveying belt | |
US20110184670A1 (en) | Pipeline leak detection system and method | |
CN108062110A (en) | A kind of chemical industrial park abnormality monitoring method based on UAV system | |
KR20140147621A (en) | Apparatus and Method for Fault Control of Water Quality Sensor | |
CN109725220B (en) | Detection method, system and device for transformer oil cooling loop | |
CN107144317A (en) | A kind of Intelligent liquid level meter | |
CN111830491B (en) | Method and device for monitoring reflector in navigation system and electronic equipment | |
US10935459B2 (en) | Unobtrusive and automated detection of frequencies of spatially located distinct parts of a machine | |
CN112105939B (en) | Device, method for monitoring an actuator system and method for providing such a device | |
US8502687B2 (en) | Server and method for detecting a pipeline | |
CN108369109A (en) | Method for monitoring at least two redundant sensors | |
CN115258589A (en) | Detection method and detection device for belt conveyor, controller and belt conveyor | |
CN108957260A (en) | Partial discharge detecting system and method, storage medium, processor | |
CN103912538A (en) | Hydraulic oil level monitoring method and hydraulic oil level monitoring equipment | |
CN110687513B (en) | Human body target detection method, device and storage medium | |
CN114087542B (en) | SCADA system-based pipeline leakage detection method, device and medium | |
US10761954B2 (en) | Sensor detection architecture | |
CN109784198A (en) | Airport remote sensing image airplane identification method and device | |
CN107504374A (en) | Gas pipeline acoustic monitoring system | |
CN104280189A (en) | Pressure sensor fault hardware detection method and device | |
WO2023273892A1 (en) | Dirty point detection method for laser radar, dirt detection method for laser radar, electronic apparatus, and storage medium | |
CN112820089B (en) | Automatic detection method and system for batch smoke sensing alarm | |
CN114298174A (en) | Water supply abnormity identification method, system, electronic equipment and medium |
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 |