CN114429781A - Memory, sealing point leakage detection control method, device and equipment - Google Patents
Memory, sealing point leakage detection control method, device and equipment Download PDFInfo
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Abstract
The invention discloses a memory, a sealing point leakage detection control method, a device and equipment, wherein the method is used for detecting the sealing point leakage of refining equipment and pipelines and comprises the following steps: setting up a routing inspection path according to a preset rule, and establishing an association relation between an electronic tag on the path and an equipment sealing point; establishing detection frequency and leakage threshold value standards and forming dynamic association aiming at equipment sealing points with different attributes; and screening the equipment sealing points to be detected according to different detection plans to generate a detection work order. The method and the device for detecting and controlling the leakage of the sealing point can effectively solve the problems of disordered field detection sequence and low detection efficiency and can effectively improve the quality control management efficiency.
Description
Technical Field
The invention relates to the technical field of leakage detection and maintenance, in particular to a memory for leakage detection of refining equipment and pipeline sealing points, a sealing point leakage detection control method, a sealing point leakage detection control device and equipment.
Background
Refinery equipment And pipeline seal point leaks are one of the major sources of VOCs emission, And the most practical control technique is Leak Detection And Remediation (LDAR). The LDAR technology detects potential leakage points of the refining device, finds components with leakage phenomena in time, repairs or replaces the components, and further reduces leakage discharge. In the LDAR technology, the pollution caused by leakage is reduced by monitoring the sealing points of refining equipment and pipelines in real time and repairing the sealing points exceeding a certain leakage concentration in time.
The equipment sealing leakage detection is one of the cores of LDAR work, the detection work relates to a plurality of types of sealing points such as valves, pumps, flanges, joints, open pipelines and the like, the number of the sealing points is thousands, how to reasonably and efficiently organize the implementation detection is realized, and the whole LDAR working quality and the VOCs emission control effect are related. In the prior art, a detection implementation plan is formulated according to the regulatory standard by counting the dynamic and static seals (listing or photographing for filing) of refining equipment and pipelines, specifically, relevant technicians implement detection according to the statistical sequence of sealing points or on-site inspection routes, record and feed back detection results, and then implement maintenance and retest.
The prior detection technology has at least the following defects: in practical application, along with enterprise equipment maintenance and process adjustment, an equipment sealing ledger is updated frequently, but the situation that sealing point detection plan adjustment is not timely exists; the sealed point machine account has low field detection and recording efficiency because the statistical sequence and the detection sequence cannot be completely matched due to the early statistical reason; the existing detection quality control management is mostly executed offline, the efficiency of processes such as later-stage sampling inspection, evaluation and the like is low, and the quality control effect is poor.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a method and a device for detecting and controlling leakage of a sealing point, which can effectively solve the problems of disordered field detection sequence and low detection efficiency and can effectively improve quality control management efficiency.
To achieve the above object, according to a first aspect of the present invention, there is provided a seal point leakage detection control method for seal point leakage detection of refining equipment and pipelines, comprising the steps of: setting up a routing inspection path according to a preset rule, and establishing an association relation between an electronic tag on the path and an equipment sealing point; establishing detection frequency and leakage threshold value standards and forming dynamic association aiming at equipment sealing points with different attributes; and screening the equipment sealing points to be detected according to different detection plans to generate a detection work order.
Further, in the above technical solution, the preset rule includes but is not limited to: the routing inspection path intersects all sealing points of the equipment and pipeline, and the routing inspection path has the shortest route and/or the smallest repeated route.
Further, in the above technical solution, the electronic tag may include device names, production areas, sub-areas, floors, and/or path flow code information; each electronic tag is associated with a plurality of device seal points and/or with a preset spatial range.
Further, in the above technical solution, the routing inspection path may be one or more, and further includes: and sequencing, adding and/or deleting the equipment sealing points on each routing inspection path.
Further, in the above technical solution, the attribute of the sealing point of the device may include a device type and a material type.
Further, in the above technical solution, the types of the equipment may include valves, flanges, joints, pumps, compressors, open pipelines, and the like; the material types can include VOCs heavy liquid, VOCs light liquid, VOCs gas and the like.
Further, in the above technical solution, the detection plan includes first detection, conventional detection and quality control sampling inspection; the first test is a full test; the conventional detection divides the equipment sealing point into a monthly detection point, a quarterly detection point and a semi-annual detection point; the quality control spot check can be a random spot check according to the attributes of the preset sealing points and output hit sealing points according to a certain proportion.
Further, in the above technical solution, the preset sealing point attribute may include a type of the sealing point, a detected leakage rate of the same type of sealing point, and/or whether the sealing point has a leakage phenomenon.
Further, in the above technical solution, the output ratio may specifically be: if the leakage phenomenon appears at the sealing point, all the sealing points are output; if the sealing point is static sealing, 5% -10% is randomly output; if the sealing point is dynamic sealing, 50% -100% is randomly output.
Further, in the above technical solution, the method further includes a step of performing field inspection according to the inspection work order, where the field inspection includes, but is not limited to: data recording, which is used for recording the maximum value of the leakage data in the detection process; and data analysis, wherein the data analysis comprises data integrity screening, detection terminal drift calculation and/or sealing point leakage condition statistics.
Further, in the above technical solution, the calculation for detecting the terminal drift specifically includes: and if the negative drift value Dr exceeds 10%, automatically screening the sealing points with the detection values of (1-Dr) leakage threshold values to the leakage threshold values, prompting the detection terminal to recalibrate and re-detecting the automatically screened sealing points.
To achieve the above object, according to a second aspect of the present invention, there is provided a seal point leakage detection control apparatus comprising: the route setting module is used for setting a routing inspection route according to a preset rule; the label association module is used for establishing an association relation between the electronic label on the path and the equipment sealing point; the frequency and threshold correlation module is used for establishing a detection frequency and leakage threshold standard aiming at equipment sealing points with different attributes and forming dynamic correlation; and the sealing point screening module is used for screening the sealing points of the equipment to be detected according to different detection plans and generating a detection work order.
Further, in the above technical solution, the path establishment module may further specifically include: and the sealing point adjusting submodule is used for sequencing, adding and/or deleting the equipment sealing points on each routing inspection path.
Further, in the above technical solution, the apparatus further includes a field detection module, and the field detection module specifically includes: the data recording module is used for recording the maximum value of the leakage data in the detection process; and the data analysis module is used for screening data integrity, calculating the drift of the detection terminal and/or counting the leakage condition of the sealing point.
Further, in the above technical solution, the data analysis module may further specifically include: and the drift calculation submodule is used for calculating a negative drift value Dr, automatically screening a sealing point from a detection value (1-Dr) leakage threshold to a leakage threshold when the negative drift value Dr exceeds 10%, prompting the detection terminal to recalibrate and re-detecting the automatically screened sealing point.
To achieve the above object, according to a third aspect of the present invention, there is provided a memory including an instruction set adapted to a processor for executing the steps of the seal point leakage detection control method.
To achieve the above object, according to a fourth aspect of the present invention, there is provided a seal point leakage detection control apparatus including a bus, an input device, an output device, a processor, and the aforementioned memory; the bus is used for connecting the memory, the input device, the output device and the processor; the input device and the output device are used for realizing interaction with a user; the processor is configured to execute a set of instructions in the memory.
Compared with the prior art, the invention has the following beneficial effects:
1) the routing inspection path is convenient to dynamically adjust, and the optimized path can be presented in the detection work order according to the field condition;
2) by establishing the incidence relation between the electronic tag and the equipment sealing point, the problem that the detection sequence cannot be completely matched with the statistical sequence can be effectively improved;
3) the optimal path planning on the line can effectively improve the field detection and recording efficiency;
4) the on-site detection and quality control management is carried out on line, and the efficiency of processes such as sampling inspection, evaluation and the like can be greatly improved;
5) since the seal point detection plan is more easily dynamically adjusted, timely updates can be achieved.
Other features and aspects of the present invention will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a schematic flow chart of a sealing point leakage detection control method according to embodiment 1 of the present invention;
FIG. 2 is a block diagram of a seal point leakage detection control apparatus according to embodiment 2 of the present invention;
fig. 3 is a block diagram of a seal point leakage detection control apparatus according to embodiment 4 of the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
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. Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, methods, means, elements well known to those skilled in the art have not been described in detail so as not to obscure the present invention.
Example 1
As shown in fig. 1, the method for detecting and controlling the sealing point leakage of the present embodiment can be applied to the sealing point leakage detection of refining equipment and pipelines, and includes the following steps:
and S101, establishing a routing inspection path according to a preset rule. The routing inspection path can be one or more, the routing inspection path is a field optimal reference detection path, and one or more routing inspection paths can be planned according to the size of the device area, and specific preset rules include but are not limited to: can run through all detection sealing points, and the detection path is relatively shortest, thereby ensuring that the detection process does not go around as far as possible (namely, the repeated route is minimized).
And S102, after the paths are determined, path identification tags are arranged at obvious positions on each routing inspection path and used for detecting direction indication and establishing the association relation between the tags on the routing inspection paths and equipment sealing points. The path identification tag is a main identification number of the path and is used for path moving sequence identification, and the attached information on the tag includes but is not limited to device names, production areas, sub-areas, floors, path flow codes and the like. The label can be a solid label or an electronic label, such as a metal label plate, an electronic chip plate or other high-temperature and corrosion resistant materials capable of recording path information. The path information can be directly sprayed/printed/engraved on the label plate or recorded into the electronic chip plate in the form of electronic information/two-dimensional code and the like. To ensure that the path label is effective in indicating the perimeter seal points, preferably, but not by way of limitation, the label may be associated with a plurality of device seal points and/or with a predetermined spatial range, e.g., each label may control 50-100 seal points, or with a 5-10 m spatial range of the perimeter. And further, screening according to each designed routing inspection path according to an equipment sealing statistics ledger, and establishing an association relation between each sealing point and the related path. The establishment of the incidence relation is preferably realized by adopting the existing data management software, the path identification tag serial number is listed as one of the main attributes of the sealing point in the process, and the sealing point ledger is adjusted according to the sequence of the path to the upper sealing point. The invention can add and/or delete the equipment sealing points on each routing inspection path.
Step S103, aiming at the equipment sealing points with different attributes, establishing detection frequency and leakage threshold value standards and forming dynamic association. The properties of the equipment sealing point mainly include the equipment type (such as valves, flanges, joints, pumps, compressors, open pipelines, etc.) and the material type (such as VOCs heavy liquid, VOCs light liquid, VOCs gas/vapor, etc.). The leakage threshold standard refers to the existing detection regulations and standards of the country/place or enterprise. And establishing an association relation between the equipment sealing point and the related execution laws and standards, listing the execution laws and standards as the additional attributes of the sealing point, and establishing the association relation can also be realized by data management software.
And step S104, screening the equipment sealing points to be detected according to different detection plans to generate a detection work order. According to different detection purposes, the detection plan can be divided into a first detection plan, a conventional detection plan and a quality control sampling detection plan. The sealing point screening is to screen sealing points to be detected according to the detection plan type and can be specifically divided into primary/conventional detection sealing point screening and quality control spot inspection sealing point screening. The first/conventional detection sealing point screening process is to classify sealing points according to sealing point detection frequency rules and standard attributes, and can be specifically classified into monthly detection points, quarterly detection points and semi-annual detection points, wherein the first detection requires all detections. The quality control sampling inspection sealing point screening is to carry out random screening according to the related attributes of the sealing points and output hit sealing points according to a certain proportion, wherein the specific attributes comprise the types of the sealing points, the leakage rate of the detected similar sealing points, whether the leakage phenomenon occurs once or not and the like. Preferably, but not limitatively, the specific output ratio can be set as follows: 1) the sealing points where leakage occurred are all output; 2) the static seals (e.g., flanges and connectors) randomly output a proportion of 5% -10%; 3) dynamic seals (e.g., valves, pumps, compressors, agitators, open valves/open lines, sampling connections, etc.) randomly output a proportion of 50% to 100%. Here, it should be noted that: the generation process of the detection plan is to output a detection basic list according to the screening result of the sealing points, then to optimally sort the sealing points to be detected by calling the path attribute of the sealing points or by matching path management, and finally to output a sealing point detection list sorted according to the optimized path. The detection work order is an optimized detection plan list issued to detection personnel for a detection task, and the list information comprises information of sealing point devices, areas, paths, sealing point names, types, materials and the like, can be specifically displayed in a list form or a picture form, and is sorted according to the sequence of related paths.
And step S105, carrying out field detection according to the detection work order. The field detection comprises the processes of field detection implementation, data recording, data result analysis and the like. The field test implementation includes but is not limited to instrument inspection, calibration, background value selection, field seal point testing, data drift testing, etc., according to relevant test criteria. The data recording comprises detection quality control recording and actual detection data recording, the maximum value in the detection process needs to be recorded in the recording, and the maximum detection can be automatically read by adopting a data automatic recorder such as a handheld detection terminal, so that artificial recording factors are eliminated, and the data recording efficiency is improved. And the data analysis is a data quality control and data statistics process after the detection result is generated, and the data analysis comprises data integrity screening, detection terminal drift calculation and sealing point leakage condition statistics. Data integrity screening is mainly used for screening whether quality control data are complete or not and whether detection process records are complete or not, such as instrument inspection records, calibration records, meteorological parameter records, background value records, detection data records, instrument drift records every day and the like. And the drift of the detection terminal is calculated according to the current-day drift check result, the drift proportion of the instrument after detection is finished is calculated, if the negative drift value Dr exceeds 10%, the sealing point from the detection value (1-Dr) leakage threshold to the leakage threshold is automatically screened out, and recalibration of the instrument and retesting of the sealing point are prompted. The leakage condition statistics of the sealing points comprises the steps of counting the sealing point detection data screened by drifting, screening out the leaked sealing points by comparing leakage threshold value laws and standards, counting the leakage grades of all the leakage points, the number of the leakage points of various materials and sealing types, the leakage rate and other information, and further guiding leakage maintenance and quality control of data sampling inspection.
Furthermore, the quality control process of the spot check comprises the steps of making a spot check plan, performing the spot check and comparing spot check results, and the making of the spot check plan and the performing of the spot check are similar to those of the making of a conventional detection plan and the performing of the detection, and are not repeated herein. The sampling inspection result is compared with the difference between the detection result of the comparison analysis detection terminal and the sampling inspection result, the comparison parameters can comprise the leakage rate of each material type and each sealing point, the system analyzes the comparison result of each parameter, and when the ratio of the sampling inspection leakage rate to the conventional detection leakage rate is lower than a reference value (the reference value can be set to be 2-5), the conventional detection result is in compliance; when the detection value is higher than the reference value, the fact that the conventional detection result is possibly abnormal is suggested.
Example 2
As shown in fig. 2, the sealing point leakage detection control apparatus of the present embodiment can be applied to sealing point leakage detection of refining equipment and pipelines, and specifically includes a path establishment module 21, a tag association module 22, a frequency and threshold association module 23, and a sealing point screening module 24. The path setting module 21 is used for setting a routing inspection path according to a preset rule; the label association module 22 is configured to establish an association relationship between an electronic label on a path and an equipment sealing point; the frequency and threshold correlation module 23 is configured to establish a detection frequency and a leakage threshold standard for device seal points with different attributes and form dynamic correlation; the sealing point screening module 24 is configured to screen the sealing points of the device to be detected according to different detection plans, and generate a detection order.
Preferably, but not limitatively, the path setup module 21 may further include: and the sealing point adjusting submodule is used for sequencing, adding and/or deleting the equipment sealing points on each routing inspection path.
Further, the sealing point leakage detection control apparatus of the present embodiment further includes an on-site detection module 25, and the on-site detection module 25 further includes a data recording module 251 and a data analysis module 252. The data recording module 251 is used for recording the maximum value of leakage data in the detection process; the data analysis module 252 is used for data integrity screening, detection terminal drift calculation, and/or seal point leakage statistics. Preferably, but not by way of limitation, the data analysis module 252 may further specifically include a drift calculation submodule 2520, where the drift calculation submodule 2520 is configured to calculate a negative drift value Dr, and automatically screen a sealing point with a detection value of (1-Dr) × leakage threshold to a leakage threshold when the negative drift value Dr exceeds 10%, prompt the detection terminal to perform recalibration, and perform retesting on the automatically screened sealing point.
Example 3
The present embodiment provides a memory, which may be a non-transitory (non-volatile) computer storage medium storing computer-executable instructions that can perform the steps of the seal point leak detection control method in embodiment 1 described above, and achieve the same technical effects.
Example 4
The embodiment provides a sealing point leakage detection control device, which comprises a memory and a corresponding computer program product, wherein the computer program product comprises program instructions which, when executed by a computer, can make the computer execute the sealing point leakage detection control method in the above aspects and achieve the same technical effects.
Fig. 3 is a schematic diagram of a hardware structure of the electronic device according to the embodiment, and as shown in fig. 3, the device includes one or more processors 610 and a memory 620. Take a processor 610 as an example. The apparatus may further include: an input device 630 and an output device 640.
The processor 610, the memory 620, the input device 630, and the output device 640 may be connected by a bus or other means, and are exemplified by a bus in fig. 3.
The memory 620, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device, i.e., the processing method of the above-described method embodiment, by executing the non-transitory software programs, instructions and modules stored in the memory 620.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like. Further, the memory 620 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 630 may receive input numeric or character information and generate a signal input. The output device 640 may include a display device such as a display screen.
The one or more modules are stored in the memory 620 and, when executed by the one or more processors 610, perform: the invention relates to a sealing point leakage detection control method. The device can execute the method provided by the embodiment of the invention and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
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 (17)
1. A sealing point leakage detection control method is characterized by being used for sealing point leakage detection of refining equipment and pipelines and comprising the following steps:
setting a routing inspection path according to a preset rule, and establishing an association relation between an electronic tag on the path and an equipment sealing point;
establishing detection frequency and leakage threshold value standards and forming dynamic association aiming at the equipment sealing points with different attributes;
and screening the equipment sealing points to be detected according to different detection plans to generate a detection work order.
2. The seal point leak detection control method according to claim 1, wherein the preset rule includes: the routing inspection path extends through all sealing points of the equipment and pipelines, and the route of the routing inspection path is shortest and/or the repeated route is minimized.
3. The seal point leak detection control method according to claim 1, wherein the electronic tag includes device name, production area, sub-area, floor, and/or path flow code information; each electronic tag is associated with a plurality of the device sealing points and/or is associated with a preset spatial range.
4. The seal point leakage detection control method according to claim 1, wherein the inspection path is one or more, further comprising: and sequencing, adding and/or deleting the equipment sealing points on each routing inspection path.
5. The seal point leak detection control method of claim 1, wherein the properties of the equipment seal point include equipment type and material type.
6. The seal point leak detection control method according to claim 5, wherein the equipment types include valves, flanges, joints, pumps, compressors, and open piping; the material types include heavy liquids of VOCs, light liquids of VOCs, and gases of VOCs.
7. The seal point leak detection control method according to claim 1, wherein the detection plan includes a first detection, a routine detection, and a quality control spot check; the first test is a full test; the conventional detection divides the equipment sealing points into monthly detection points, quarterly detection points and semi-annual detection points; the quality control spot check is a random spot check according to the attributes of preset sealing points, and the hit sealing points are output according to a certain proportion.
8. The method of claim 7, wherein the predetermined seal point attributes include a type of seal point, a leak rate of the same type of seal point that has been tested, and/or whether the seal point has been leaking.
9. The seal point leakage detection control method according to claim 8, wherein the certain proportion of the output is specifically:
if the leakage phenomenon appears at the sealing point, all the sealing points are output;
if the sealing point is static sealing, outputting 5-10% randomly;
and if the sealing point is dynamic sealing, randomly outputting 50-100%.
10. The seal point leakage detection control method according to claim 1, further comprising a step of performing field detection according to the detection work order, wherein the field detection specifically comprises:
data recording, which is used for recording the maximum value of the leakage data in the detection process;
and data analysis, wherein the data analysis comprises data integrity screening, detection terminal drift calculation and/or sealing point leakage condition statistics.
11. The seal point leakage detection control method according to claim 10, wherein the detection terminal drift calculation specifically is:
and if the negative drift value Dr exceeds 10%, automatically screening the sealing points with the detection values of (1-Dr) leakage threshold values to the leakage threshold values, prompting the detection terminal to recalibrate and re-detecting the automatically screened sealing points.
12. A seal point leak detection control apparatus, comprising:
the route setting module is used for setting a routing inspection route according to a preset rule;
the label association module is used for establishing an association relation between the electronic label on the path and the equipment sealing point;
the frequency and threshold correlation module is used for establishing detection frequency and leakage threshold standard aiming at the equipment sealing points with different attributes and forming dynamic correlation;
and the sealing point screening module is used for screening the equipment sealing points to be detected according to different detection plans and generating a detection work order.
13. The seal point leakage detection control apparatus of claim 12, wherein the path setup module specifically comprises:
and the sealing point adjusting submodule is used for sequencing, adding and/or deleting the equipment sealing points on each routing inspection path.
14. The seal point leak detection control apparatus according to claim 12, further comprising an in-situ detection module, the in-situ detection module specifically including:
the data recording module is used for recording the maximum value of the leakage data in the detection process;
and the data analysis module is used for screening data integrity, calculating the drift of the detection terminal and/or counting the leakage condition of the sealing point.
15. The seal point leak detection control apparatus according to claim 14, wherein the data analysis module specifically includes:
and the drift calculation submodule is used for calculating a negative drift value Dr, automatically screening a sealing point from a detection value to a leakage threshold value when the negative drift value Dr exceeds 10%, prompting the detection terminal to recalibrate and carrying out retest on the automatically screened sealing point.
16. A memory comprising a set of instructions adapted to be executed by a processor to perform the steps of the seal point leak detection control method according to any one of claims 1 to 11.
17. A seal point leak detection control apparatus comprising a bus, an input device, an output device, a processor, and a memory as claimed in claim 16;
the bus is used for connecting the memory, the input device, the output device and the processor;
the input device and the output device are used for realizing interaction with a user;
the processor is configured to execute a set of instructions in the memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011044986.4A CN114429781A (en) | 2020-09-29 | 2020-09-29 | Memory, sealing point leakage detection control method, device and equipment |
Applications Claiming Priority (1)
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| WO2024021605A1 (en) * | 2022-07-29 | 2024-02-01 | 河北先河环保科技股份有限公司 | Leakage detection method and apparatus, and terminal |
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