CN117108939B - Online monitoring method, system and device for ground temperature field and storage medium - Google Patents
Online monitoring method, system and device for ground temperature field and storage medium Download PDFInfo
- Publication number
- CN117108939B CN117108939B CN202311371078.XA CN202311371078A CN117108939B CN 117108939 B CN117108939 B CN 117108939B CN 202311371078 A CN202311371078 A CN 202311371078A CN 117108939 B CN117108939 B CN 117108939B
- Authority
- CN
- China
- Prior art keywords
- abnormal
- point
- leakage point
- preset
- initial
- 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
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000012544 monitoring process Methods 0.000 title claims abstract description 48
- 238000012360 testing method Methods 0.000 claims abstract description 157
- 238000001514 detection method Methods 0.000 claims abstract description 44
- 230000005856 abnormality Effects 0.000 claims abstract description 11
- 230000002159 abnormal effect Effects 0.000 claims description 120
- 238000012545 processing Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 5
- 238000012806 monitoring device Methods 0.000 claims description 4
- 230000001174 ascending effect Effects 0.000 claims description 3
- 239000013307 optical fiber Substances 0.000 abstract description 10
- 230000000694 effects Effects 0.000 abstract description 2
- 230000033228 biological regulation Effects 0.000 description 10
- 230000003247 decreasing effect Effects 0.000 description 7
- 238000009529 body temperature measurement Methods 0.000 description 6
- 239000007788 liquid Substances 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000004378 air conditioning Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000001704 evaporation Methods 0.000 description 3
- 239000003507 refrigerant Substances 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000009833 condensation Methods 0.000 description 1
- 239000002826 coolant Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000002352 surface water Substances 0.000 description 1
- 238000004861 thermometry Methods 0.000 description 1
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
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/002—Investigating fluid-tightness of structures by using thermal means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
- G01M3/28—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds
- G01M3/2807—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes
- G01M3/2815—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes using pressure measurements
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/10—Geothermal energy
Abstract
The application relates to an on-line monitoring method, a system, a device and a storage medium of a ground temperature field, which belong to the technical field of optical fibers, and the method comprises the following steps: determining a plurality of test points from the ground temperature field by adopting a selection model, wherein the test points are nodes to be subjected to leak detection test in the ground temperature field; acquiring operation parameters of a plurality of test points, wherein the operation parameters comprise temperature, vibration frequency and pressure; determining a test point with abnormality of at least one parameter of temperature, vibration frequency and pressure as an initial leakage point; acquiring operation parameters of each node adjacent to the initial leakage point; and determining a final leakage point according to the operation parameters of the initial leakage point and the operation parameters of each node adjacent to the initial leakage point. The leakage detection timeliness effect of ground temperature field is improved to this application.
Description
Technical Field
The present disclosure relates to the field of optical fiber technologies, and in particular, to an online monitoring method, system, device, and storage medium for a ground temperature field.
Background
The central air conditioning system of the ground source heat pump is a heat supply air conditioning system which takes rock-soil body, underground water or surface water as a low-temperature heat source and consists of a heat pump unit, a geothermal energy exchange system and a system in a building. The working principle is as follows: in winter, the heat pump unit absorbs heat from a ground source and supplies heat to a building; in summer, the heat pump unit absorbs heat from the indoor space and transfers the heat to the ground source to realize air conditioning refrigeration of the building, and the renewable air conditioning system is applied to some public places, such as office buildings or shopping malls.
In practical use, because the heat of the low-temperature heat sources of different crust shallow layers is different, the ground temperature field can be selected according to the requirement of a heat supply object, and the ground temperature field provides the heat supply object with the required temperature. Besides the heat of the ground temperature field can be influenced by the position depth of the ground temperature field, the heat distribution of the ground temperature field can also be influenced by the leakage of the buried pipeline in the ground temperature field, so that the leakage point of the buried pipeline in the ground temperature field needs to be positioned in time and overhauled, and the influence of the leakage point on the ground temperature field is reduced.
Since the device for exchanging the ambient heat and the indoor heat is placed in the ground temperature field, the condition that the ground temperature field needs to be selected is that the space environment is large. Therefore, when the leakage detection is performed on the ground temperature field, if each position in the ground temperature field is measured, the cost of the device for the leakage detection is increased, the acquired data volume is increased, and the data processing burden is increased, so that the timeliness of the leakage detection is not guaranteed.
Disclosure of Invention
The application provides an on-line monitoring method, system, device and storage medium for a ground temperature field, which have the characteristic of improving the leak detection timeliness of the ground temperature field.
The application aims at providing an on-line monitoring method for a ground temperature field.
The first object of the present application is achieved by the following technical solutions:
an on-line monitoring method of a ground temperature field, comprising the following steps:
determining a plurality of test points from a ground temperature field by adopting a selection model, wherein the test points are nodes to be subjected to leak detection test in the ground temperature field;
acquiring operation parameters of a plurality of test points, wherein the operation parameters comprise temperature, vibration frequency and pressure;
determining a test point with abnormality of at least one parameter of the temperature, the vibration frequency and the pressure as an initial leakage point;
acquiring operation parameters of each node adjacent to the initial leakage point;
and determining a final leakage point according to the operation parameters of the initial leakage point and the operation parameters of each node adjacent to the initial leakage point.
Through adopting above-mentioned technical scheme, this application is firstly through selecting the model to select the test point from the ground temperature field for this application only carries out leak hunting test to the test point of selecting, and need not to leak hunting to a large amount of nodes, in order to reduce data processing burden, guarantee leak hunting's timeliness. Meanwhile, whether the test point is an initial leakage point is judged according to three factors of temperature, vibration frequency and pressure, and then the final leakage point is determined by acquiring the operation parameters of the nodes adjacent to the initial leakage point and the operation parameters of the nodes adjacent to the initial leakage point. Therefore, when judging whether the initial leakage point is the final leakage point, the method not only relates to the operation parameters of the initial leakage point, but also compares the operation parameters of the initial leakage point with the operation parameters of surrounding nodes, thereby improving the accuracy of the obtained final leakage point.
The present application may be further configured in a preferred example to: the determining a final leak point according to the operation parameters of the initial leak point and the operation parameters of each node adjacent to the initial leak point comprises:
marking the abnormal temperature and/or abnormal vibration frequency and/or abnormal pressure as abnormal elements;
acquiring a comparison element corresponding to the abnormal element from the operation parameters of each node adjacent to the initial leakage point, wherein the comparison element and the information contained by the abnormal element belong to the same category, and the category comprises a temperature type, a vibration type and a pressure type;
and determining a final leakage point by comparing the abnormal element with the control element according to the abnormal type of the abnormal element.
Through adopting above-mentioned technical scheme, on the one hand, this application only compares control element and unusual element, can reduce the calculated amount of this application, practices thrift the time that obtains final leak source to guarantee the timeliness of leak hunting. On the other hand, the method and the device can reduce the interference of other elements by only comparing the comparison element with the abnormal element, thereby providing technical support for enabling the final leakage point to be a real leakage point.
The present application may be further configured in a preferred example to: determining a final leak point by comparing the abnormal element with the control element according to the abnormal type of the abnormal element, including:
when the abnormal element is higher than a preset threshold range, the preset threshold range is one or more of a preset temperature range, a preset vibration frequency range and a preset pressure range;
judging whether the following conditions are satisfied: the control element is greater than the anomaly element; if yes, the node with the comparison element larger than the abnormal element is the final leakage point; if not, the initial leakage point is the final leakage point; or alternatively
When the abnormal element is lower than a preset threshold range, judging whether the abnormal element meets the following conditions: the control element is smaller than the abnormal element;
if yes, the node with the comparison element larger than the abnormal element is the final leakage point;
if not, the initial leakage point is the final leakage point.
By adopting the technical scheme, when the abnormal element is higher than the preset threshold range, the node is marked as the initial leakage point, and if the contrast element of the node adjacent to the abnormal element is higher than the abnormal element, the node adjacent to the abnormal element is also indicated as the leakage point and is more serious than the initial leakage point, so the node adjacent to the initial leakage point is taken as the final leakage point. Similarly, when the abnormal element is lower than the preset threshold range, the node is marked as an initial leakage point, and if the contrast element of the adjacent node is lower than the abnormal element, the node adjacent to the abnormal element is also indicated as the leakage point and is more serious than the initial leakage point, so the node adjacent to the initial leakage point is taken as a final leakage point.
The present application may be further configured in a preferred example to: when the test point where the abnormality occurs in at least one parameter of the temperature, the vibration frequency and the pressure is determined to be an initial leakage point, the marking time is also recorded, and the method further includes:
and obtaining a final leakage point according to the marking time of the initial leakage point and the marking time of the node marked as the leakage point in all nodes adjacent to the initial leakage point.
Through adopting above-mentioned technical scheme, this application is except confirm final leak source through contrast unusual element and contrast element, still confirm final leak source through the mark time of initial leak source and the mark time of the node of being marked as the leak source in all nodes adjacent with initial leak source to the managers of being convenient for select different judgement modes according to the environment demand, in order to improve the adaptive capacity of environment of this application.
The present application may be further configured in a preferred example to: the step of obtaining a final leak according to the marking time of the initial leak and the marking time of the node marked as the leak in all the nodes adjacent to the initial leak, including:
arranging a plurality of marking times in an ascending order;
And taking the initial leak points or the leak points corresponding to the first marking time in the sequence as the final leak points.
By adopting the technical scheme, when the liquid working medium in the ground temperature field leaks, the leaked liquid working medium has fluidity, so that the node marked first is used as the final leakage point.
The present application may be further configured in a preferred example to: the method for determining a plurality of test points from the ground temperature field by adopting the selection model comprises the following steps:
acquiring a structural tree consisting of all nodes in the ground temperature field;
taking the bottom-to-top direction of the structural tree as a cutting direction, and cutting the structural tree in a gradient manner according to a preset height value to obtain a plurality of sections;
in any one of the sections, determining the center point of each section as a first test point, and circling with the first test point as a circle center and sequentially increasing distances as a radius;
selecting a plurality of nodes on different circles on each section as second test points, wherein the distance between any two adjacent second test points on the same circle is within a preset first distance range, and when the second test points on one circle are mapped to the other circle, the second test points on the two circles are not overlapped and the distance between any two adjacent second test points is within a preset second distance range;
The first test point and the second test point are combined into a plurality of test points.
By adopting the technical scheme, the first test point and the second test point selected by the selection model form a multi-dimensional leak detection structure in space, so that when a leak occurs in a ground temperature field, the first test point or the second test point on the leak is positioned in time, or the first test point and/or the second test point on the periphery of the leak is found and positioned in time, so that the selected test point can fully reflect all nodes in the ground temperature field.
The present application may be further configured in a preferred example to: judging whether the temperature, the vibration frequency and the pressure are abnormal or not by the following judging mode:
when the temperature exceeds a preset temperature range, judging that the temperature is abnormal;
when the vibration frequency exceeds a preset vibration frequency range, judging that the vibration frequency is abnormal;
when the pressure exceeds the preset pressure range, the judgment result is that the pressure is abnormal.
The second purpose of the application is to provide an on-line monitoring system of a ground temperature field.
The second object of the present application is achieved by the following technical solutions:
An on-line monitoring system for a ground temperature field, comprising:
the data selection module is used for determining a plurality of test points from the ground temperature field by adopting a selection model, wherein the test points are nodes to be subjected to leak detection test in the ground temperature field;
the data receiving module is used for acquiring operation parameters of the plurality of test points, wherein the operation parameters comprise temperature, vibration frequency and pressure:
the data processing module is used for determining a test point with abnormality of at least one parameter of the temperature, the vibration frequency and the pressure as an initial leakage point;
the data acquisition module is used for acquiring the operation parameters of each node adjacent to the initial leakage point;
and the data determining module is used for determining a final leakage point according to the operation parameters of the initial leakage point and the operation parameters of each node adjacent to the initial leakage point.
The third object of the application is to provide an on-line monitoring device of ground temperature field.
The third object of the present application is achieved by the following technical solutions:
the on-line monitoring device for the ground temperature field comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor realizes any one of the on-line monitoring methods for the ground temperature field when executing the program.
A fourth object of the present application is to provide a computer-readable storage medium capable of storing a corresponding program.
The fourth object of the present application is achieved by the following technical solutions:
a computer readable storage medium having stored thereon a computer program which when executed by a processor implements any of the above-described methods of on-line monitoring of a ground temperature field.
In summary, the present application includes at least one of the following beneficial technical effects:
according to the method and the device, the test points are selected through the selection model, so that leakage detection is only carried out on the selected test points, a large number of nodes are not required to be subjected to leakage detection, the data processing load is reduced, and the timeliness of leakage detection is ensured;
according to the method, whether the test point is an initial leakage point is judged according to three factors of temperature, vibration frequency and pressure, and then the final leakage point is determined by acquiring the operation parameters of the nodes adjacent to the initial leakage point and the operation parameters of the nodes adjacent to the initial leakage point. Therefore, when judging whether the initial leakage point is the final leakage point, the method not only relates to the operation parameters of the initial leakage point, but also compares the operation parameters of the initial leakage point with the operation parameters of surrounding nodes, thereby improving the accuracy of the obtained final leakage point.
Drawings
FIG. 1 is a schematic diagram of an exemplary operating environment of an embodiment of the present application.
Fig. 2 is a flowchart of an on-line monitoring method of a ground temperature field according to embodiment 1 of the present application.
Fig. 3 is an exemplary diagram of a selection model in method embodiment 1 of the present application to select a second test point.
Fig. 4 is a flowchart of an on-line monitoring method of a ground temperature field according to embodiment 2 of the present application.
Fig. 5 is a block diagram of an on-line monitoring system for a ground temperature field in accordance with an embodiment of the present application.
Reference numerals illustrate: reference numerals illustrate: 1. a ground temperature field; 2. detecting a cable; 3. a distributed optical fiber temperature measuring host; 4. a centralized monitoring platform; 41. a data selection module; 42. a data receiving module; 43. a data processing module; 44. a data acquisition module; 45. and a data determining module.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Example 1
FIG. 1 shows a schematic diagram of an exemplary operating environment in which embodiments of the present application can be implemented, including a ground temperature field 1, a detection cable 2, a distributed fiber optic thermometry host 3, and a centralized monitoring platform 4. The ground temperature field 1 is internally provided with a heat pump unit which mainly comprises a compressor, a condenser, an evaporator and an expansion valve, and the ground source heat pump is continuously completed by liquid working medium (refrigerant or refrigerant): the thermodynamic cycle of evaporation (taking up heat from the environment) -compression-condensation (giving off heat) -throttling-re-evaporation, thereby transferring the heat from the environment to the water or soil. The compressor plays a role in compressing and conveying the circulating working medium from a low-temperature low-pressure position to a high-temperature high-pressure position and is a heart of the heat pump system; the evaporator is equipment for outputting cold energy, and has the main function of evaporating the refrigerant liquid flowing in through the throttle valve to absorb the heat of the cooled object so as to achieve the aim of refrigeration; the condenser is a device for outputting heat, and the heat absorbed from the evaporator and the heat converted by the power consumed by the compressor are taken away by a cooling medium in the condenser, so that the ground source heat pump achieves the aim of heating; the expansion valve or the throttle valve plays a role in throttling and depressurization of the circulating working medium and regulates the flow of the circulating working medium entering the evaporator. According to the second law of thermodynamics, the work consumed by the compressor plays a role in compensation, so that the circulating working medium continuously absorbs heat from the low-temperature environment and releases heat to the high-temperature environment to circulate repeatedly.
The detection cable 2 is installed in the ground temperature field 1, specifically, the detection cable 2 can be arranged to cover the whole heat pump unit and also can be arranged to be crossed with the heat pump unit, so that the detection cable 2 can be fully contacted with the heat pump unit. In this example, the detection cable 2 can be located at any point in the ground temperature field 1 as an acquisition sensor, each of which is capable of acquiring operating parameters in the environment in which it is located, including temperature, vibration frequency and pressure. The environment on the path of the detection cable 2 is also called a node, so that a plurality of nodes are arranged on one detection cable 2, the specific number of the nodes is related to the length of the detection cable 2 and the distance between two adjacent nodes, for example, the distance between any two nodes of the detection cable 2 is 5cm, and if the length of the detection cable 2 is 3m, 60 nodes are obtained.
After the operation parameters of each node are collected, the detection cable 2 transmits the operation parameters collected in real time to the distributed optical fiber temperature measurement host 3. It should be further noted that, since the detection cable 2 has advantages of no electrical sensing, stable chemical properties, long transmission distance, etc., the present application is used for absolute measurement of the operation parameters of each node, so as to provide technical support for obtaining accurate operation parameters.
The distributed optical fiber temperature measurement host 3 can be connected with a plurality of detection cables 2 at the same time, sends optical signals to the plurality of detection cables 2 respectively connected with the detection cables, receives operation parameters returned by the plurality of detection cables 2, and transmits the operation parameters to the centralized monitoring platform 4 after the operation parameters are filtered, amplified and the like.
The centralized monitoring platform 4 is composed of one or more servers, after receiving the processed operation parameters, the centralized monitoring platform 4 analyzes the leakage points in the ground temperature field 1 according to the operation parameters, then remotely sends the leakage points to the user terminal, and finally overhauls the leakage points according to the concrete leakage points displayed on the user terminal by overhaulers. In this example, the user terminal may be a smart device such as a mobile phone, tablet, computer, or the like.
It should be noted that the operating environment illustrated in fig. 1 is merely illustrative, and is in no way intended to limit the application or uses of embodiments of the present invention. For example, multiple ground temperature fields 1 may be included in the operating environment, and the centralized monitoring platform 4 may monitor leakage points in multiple ground temperature fields 1 simultaneously.
Fig. 2 shows a flowchart of an online monitoring method of a ground temperature field according to an embodiment of the present application, where the method is applied to the centralized monitoring platform 4 in fig. 1, and specifically, a main flow of the method is described as follows.
And S100, determining a plurality of test points from the ground temperature field 1 by adopting a selection model, wherein the test points are nodes to be subjected to leak detection in the ground temperature field 1.
In this example, since the space volume of the ground temperature field 1 is large, in order to pay attention to whether each node in the ground temperature field 1 leaks in real time, not only is the centralized monitoring platform 4 required to have high calculation power, but also the huge calculation amount is difficult to ensure the timeliness of the leak point after the leak point is determined, so that the leakage accident of the ground temperature field 1 is aggravated. Therefore, the representative nodes are determined from the ground temperature field 1 by adopting the preset selection model and are called test points, so that the leakage detection can be carried out only on a small number of nodes, and the timeliness of the calculated leakage points is ensured.
Specifically, the process of determining the test point from the ground temperature field 1 by selecting the model is as follows:
step S110, a structure tree consisting of all nodes in the ground temperature field 1 is obtained. The selection model firstly builds a structural tree according to all nodes in the ground temperature field 1, and the structural tree is stored in the centralized monitoring platform 4. When the manager has the requirement of leak detection on the ground temperature field 1, the user terminal drives the selection model to call the structural tree, and of course, the centralized monitoring platform 4 can also periodically leak detect the ground temperature field 1, so as to drive the selection model to call the structural tree.
And S120, taking the bottom-to-top direction of the structural tree as a cutting direction, and cutting the structural tree in a gradient manner according to a preset height value to obtain a plurality of sections. Specifically, a root node of the structural tree may be taken as a bottom, a leaf node of the structural tree may be taken as a top, and then the structural tree may be taken gradient by adopting a preset height value to obtain a plurality of sections. Of course, the root node of the structural tree may be used as the top, the leaf node of the structural tree may be used as the bottom, and the structural tree may be cut gradient by adopting a preset height value to obtain multiple sections. In practical use, which is adopted as the intercepting direction is not limited in the application, so that a plurality of equidistant sections can be obtained. In a specific example, the predetermined height value is 0.5 meters, i.e. taken once at 5 meters intervals and a cross section is obtained.
Step S130, determining the center point of each section as a first test point in any one section of the sections, and circling a plurality of sequentially increasing distances as a radius by taking the first test point as a circle center. In a specific example, the plurality of sequentially increasing distances are 0.5m, such as 0.5m, 1m, 1.5m, 2m, etc. of the arithmetic progression. In other examples, other sized arithmetic columns are also possible.
Step S140, selecting a plurality of nodes on different circles on each section as second test points, wherein the distances between any two adjacent second test points on the same circle are within a preset first distance range, and when the second test point on one circle is mapped to the other circle, the second test points on the two circles are not overlapped and the distances between any two adjacent second test points are within a preset second distance range. For ease of illustration, adjacent sections a, b, and c in fig. 3 are taken as examples: if the cross section a, the cross section b and the cross section c all have three circles x, y and z, the distances between any two adjacent test points on the circle z of the cross section a are within a preset first distance range, such as 1-8m in fig. 3, so that the distances from the point o1 to the point o2 are 5m and the distances from the point o2 to the point o3 are 8m are all consistent with the regulations. Any two adjacent test point distances between the points p1, p2, p3, p4, p5 on the circle z of the section b are within a preset first distance range, any two adjacent test point distances between the points q1, q2, q3, q4, q5 on the circle z of the section c are within a preset first distance range, and when the points o1, o2, o3, o4, o5 on the circle z of the section a are mapped onto the circle z of the section b respectively, any one of the points o1, o2, o3, o4, o5 and any one of the points q1, q2, q3, q4, q5 do not coincide and any two adjacent second test points are within a preset second distance range, as in fig. 3, when the point o1 is mapped onto the section b, the point o1 is located between the points p1 and p 5. Similarly, when the points q1, q2, q3, q4 and q5 on the circle z of the section c are mapped to the circle z of the section b, any one of the points q1, q2, q3, q4 and q5 and any one of the points q1, q2, q3, q4 and q5 do not overlap, and the distance between any two adjacent second test points is within a preset second distance range.
It should be noted that, in actual use, a plurality of second test points are selected on each circle, and for convenience of illustration, only the point on the circle z is taken as an example in fig. 3, which is not a limitation on selecting the second test points by the selection model.
Therefore, the second test points selected by the selection model form a multi-dimensional leak detection structure in space, so that when a leak occurs in the ground temperature field 1, the position of the leak is found and positioned in time by the second test points on the leak or the second test points on the periphery of the leak.
Step S150, the first test point and the second test point are combined into a plurality of test points.
In the multi-dimensional leakage detection structure formed by the second test points, the first test points are added, so that the leakage detection accuracy of the multi-dimensional leakage detection structure can be improved, and the first test points and the second test points are collectively called as test points hereinafter because the first test points and the second test points play a role in collecting operation parameters.
Step 200, obtaining operation parameters of a plurality of test points, wherein the operation parameters comprise temperature, vibration frequency and pressure.
As can be seen from the embodiment, the operation parameters of the test points are three parameters including temperature, vibration frequency and pressure, which are sent to the centralized monitoring platform 4 by the distributed optical fiber temperature measuring host 3.
It should be noted that, when the distributed optical fiber temperature measurement host 3 sends the operation parameters, the distributed optical fiber temperature measurement host 3 also sends the test points corresponding to the operation parameters to the centralized monitoring platform 4, that is, the distributed optical fiber temperature measurement host 3 sends the test points and the operation parameters collected at the test points to the centralized monitoring platform 4 together, so that the centralized monitoring platform 4 can conveniently judge whether the test points are leakage points according to the operation parameters collected at the test points.
And step 200, determining a test point with abnormality of at least one parameter of temperature, vibration frequency and pressure as an initial leakage point.
Specifically, the application collects the temperature, the vibration frequency and the pressure of the test point, and marks the test point as an initial leakage point when at least one parameter of the temperature, the vibration frequency and the pressure of the test point is abnormal. It should be noted that, the test point marked as the initial leak point is not just a node where a leak exists, but further judgment is needed to reach a conclusion, and the specific judgment process is shown in step S400.
In a specific example, the process of judging whether the temperature, the vibration frequency and the pressure are abnormal respectively is as follows:
When the temperature exceeds a preset temperature range, judging that the temperature is abnormal;
when the vibration frequency exceeds a preset vibration frequency range, judging that the vibration frequency is abnormal;
when the pressure exceeds the preset pressure range, the judgment result is that the pressure is abnormal.
The above-mentioned preset temperature range, preset vibration frequency range, and preset pressure range are all set in the centralized monitoring platform 4 in advance, wherein the preset temperature range is a temperature fluctuation range of each test point estimated according to the heat stored in the ground temperature field 1 and the heat generated when the heat pump unit exchanges heat, and then the estimated temperature fluctuation range is used as the preset temperature range and stored in the centralized monitoring platform 4. Similarly, the preset vibration frequency range and the preset pressure range are also the fluctuation ranges obtained by evaluating the heat pump units in the ground temperature field 1 and the ground temperature field 1, namely, the fluctuation ranges can be obtained through limited tests.
That is, when: and when the temperature exceeds a preset temperature range and/or the vibration frequency exceeds a preset vibration frequency range and/or the pressure exceeds a preset pressure range, determining the test point corresponding to the operation parameter as an initial leakage point. In this example, the correspondence here means: and if the operation parameters are acquired from the test points, indicating that the acquired operation parameters have a corresponding relation with the test points.
In other examples, the process of determining whether an abnormality occurs in temperature, vibration frequency, and pressure, respectively, is:
when the temperature is increased or decreased suddenly, the temperature is judged to be abnormal;
when the vibration frequency is suddenly increased or reduced, the judgment result is that the vibration frequency is abnormal;
when the pressure is increased or decreased suddenly, the pressure is abnormal.
The above-mentioned abrupt increase of temperature means that the current temperature of the test point and the temperatures of the previous multiple continuous moments form a temperature sequence, the temperatures in the temperature sequence are arranged from the head of the team to the tail of the team according to the output sequence, if the temperatures of the multiple continuous moments in the temperature sequence are sequentially increased, and the increment between the temperatures of the current moment and the temperatures of the previous moment exceeds a preset value, the test point is determined as an initial leakage point, for example, the test point a already obtains the temperature sequence (12 ℃, 15 ℃, 20 ℃, 28 ℃) between 08:00 and 08:04, and the preset value is set to 10 ℃, so that at 08:05, if the detected temperature is 40 ℃, the temperature at 08:05 is abruptly increased due to 40 ℃ > (28+10). Judging whether the temperature is steeply reduced is similar to the judgment whether the temperature is steeply reduced, wherein the difference is that when the temperature is steeply reduced, if: the temperatures at a plurality of continuous moments in the temperature sequence are gradually decreased, and when the decreasing amount between the temperature and the temperature at the previous moment exceeds a preset value, the test point is determined to be an initial leakage point.
It should be noted that, judging whether the vibration frequency is increased suddenly and whether the pressure is increased suddenly is similar to the above process of judging whether the temperature is increased suddenly, so the application is not repeated here; and judging whether the vibration frequency is suddenly reduced and whether the pressure is suddenly reduced is similar to the process of judging whether the temperature is suddenly reduced, so that the repeated description is omitted.
That is, when: and when the temperature is increased or decreased suddenly and/or the vibration frequency is increased or decreased suddenly and/or the pressure is increased or decreased suddenly, determining the test point corresponding to the operation parameter as the initial leakage point. The correspondence between the operation parameters and the test points in this case corresponds to the above discussion, and therefore will not be described here.
In actual use, any one of the above-mentioned judging modes can be selected according to the need to determine whether the test point is an initial leakage point, or two judging modes can be adopted simultaneously to determine whether the test point is an initial leakage point, and the selected judging mode is not limited in this application.
Step S300, obtaining the operation parameters of each node adjacent to the initial leakage point.
In a specific example, before the operation parameter of each node adjacent to the initial leakage point is obtained, the regulatory information corresponding to the initial leakage point needs to be obtained. The control information is stored in the centralized monitoring platform 4, and the control information comprises a preset temperature range, a preset vibration frequency range, a preset pressure range, a preset value for the steep increase of temperature, a preset value for the steep increase of vibration frequency and a preset value for the steep increase of pressure, which correspond to winter respectively, a preset temperature range, a preset vibration frequency range, a preset pressure range, a preset value for the steep decrease of temperature, a preset value for the steep decrease of vibration frequency and a preset value for the steep decrease of pressure, which correspond to summer respectively. In practical use, the preset parameters related to the judgment mode in the step S200 need to be switched correspondingly in different seasons, for example, a preset temperature range corresponding to winter is selected in winter, and a preset temperature range corresponding to summer is selected in summer. In addition, the regulation information also comprises states of the heat pump unit, wherein the states comprise a stop state, a start state, an operating state and a closing state, the start state refers to a transition stage from the stop state to the operating state, and the closing state refers to a transition stage from the operating state to the stop state.
Then, judging whether the test point is marked as the initial leakage point or not based on the regulation information, if so, restoring the initial leakage point to be a normal test point; otherwise, the test point is kept as an initial leakage point, and the operation parameters of each node adjacent to the initial leakage point are obtained. Taking the example that the test point is marked as an initial leakage point due to the steep increase of the temperature, if after the initial leakage point b is determined, the called regulation information is: the heat pump unit is in a starting state, and the starting state of the heat pump unit refers to an excessive stage of entering a working state from a stopping state, so that the temperature of a test point in a ground temperature field 1 gradually rises when the heat pump unit is in the starting state, then the heat stored in the ground temperature field 1 in the starting state, the heat converted by the heat pump unit and the heat generated when the heat pump unit works are judged, whether the heat increment of the three heat in the starting state reaches a preset value or more for the steep rise of the temperature or not is calculated, if yes, the steep rise of the temperature is not caused by leakage, but the heat pump unit is in the starting state, and therefore the initial leakage point is recovered to be a normal node b; otherwise, when the heat stored in the ground temperature field 1, the heat converted by the heat pump unit and the heat generated by the heat pump unit during operation are lower than the preset value for the steep increase of the temperature, the steep increase of the temperature is caused by leakage, so that the test point is kept as an initial leakage point b, and the operation parameters of each node adjacent to the initial leakage point b are called.
In one specific example, the operating parameters of each node adjacent to the initial leak point include the temperature, vibration frequency, and pressure of the adjacent node. Because the distributed optical fiber temperature measurement host 3 transmits the received operation parameters to the centralized monitoring platform 4 in real time, and the centralized monitoring platform 4 stores the structure tree of all nodes, after the initial leakage point is determined, the centralized monitoring platform 4 can determine the node adjacent to the initial leakage point and acquire the operation parameters of each node adjacent to the initial leakage point.
Step S400, determining a final leakage point according to the operation parameters of the initial leakage point and the operation parameters of each node adjacent to the initial leakage point.
Step S411, determining an abnormal element according to the operation parameters of the initial leakage point, wherein the abnormal element is abnormal temperature, abnormal vibration frequency and/or abnormal pressure. Specifically, determining an abnormal element in the operation parameter according to the reason that the test point is marked as an initial leakage point, for example, if the test point is marked as the initial leakage point because the temperature exceeds a preset temperature range, the temperature is the abnormal element; for another example, the test point is marked as an initial leak point because the temperature exceeds a preset temperature range and the vibration frequency increases sharply, both the temperature and the vibration frequency are abnormal elements.
Step S412, a control element corresponding to the abnormal element is acquired. Wherein the information contained in the control element and the abnormal element belongs to the same category, and the category comprises a temperature type, a vibration type and a pressure type. As in the example above, if the temperature is an anomaly, the temperature of each node adjacent to the initial leak is a control element; if the temperature and the vibration frequency are abnormal factors, the temperature and the vibration frequency of each node adjacent to the initial leakage point are contrast factors.
Step S413, determining a final leakage point by comparing the abnormal element with the control element according to the abnormal type of the abnormal element. Specifically, according to the abnormal type of the abnormal element, the final leakage point is obtained by comparing the sizes of the abnormal element and the control element. If the abnormal element is higher than the preset threshold range, judging whether the abnormal element meets the following conditions: the control element is greater than the anomaly element; if yes, the node with the comparison element larger than the abnormal element is the final leakage point; if not, the initial leakage point is the final leakage point; or when the abnormal element is lower than a preset threshold range, judging whether the abnormal element meets the following conditions: the control element is smaller than the abnormal element; if yes, the node with the comparison element larger than the abnormal element is the final leakage point; if not, the initial leakage point is the final leakage point. The preset threshold range is one or more of a preset temperature range, a preset vibration frequency range and a preset pressure range. For convenience of explanation, the above-described temperature is also taken as an abnormal element, and both the temperature and the vibration frequency are taken as an example of the abnormal element:
Example 1:
when the abnormal element is temperature and the temperature is higher than the preset temperature range, if: if the comparison element is larger than the abnormal element, the node of the comparison element larger than the abnormal element is the final missing point; otherwise, the initial leakage point is the final leakage point;
when the abnormal element is temperature and the temperature is lower than the preset temperature range, if: if the comparison element is smaller than the abnormal element, the node of which the comparison element is smaller than the abnormal element is the final missing point; otherwise, the initial leakage point is the final leakage point;
example 2:
when the abnormal element is temperature and the temperature is higher than the preset temperature range and the vibration frequency is increased suddenly, if: if the comparison element is larger than the abnormal element and/or the increment of the comparison element is larger than the increment of the abnormal element, the node of the comparison element larger than the abnormal element and/or the node of the comparison element larger than the increment of the abnormal element is the final missing point; otherwise, the initial leakage point is the final leakage point;
when the abnormal element is temperature and the temperature is lower than the preset temperature range and the vibration frequency is increased suddenly, if: if the comparison element is smaller than the abnormal element and/or the increment of the comparison element is larger than the increment of the abnormal element, the node of which the comparison element is smaller than the abnormal element and/or the node of which the increment of the comparison element is larger than the increment of the abnormal element is the final missing point; otherwise, the initial leak point is the final leak point.
It should be noted that the above examples are merely illustrative examples, and when the abnormal element is a steep increase in temperature or when the abnormal element is pressure, the method similar to the above two examples may be used for evaluation, and the present application is not repeated herein.
It should also be noted that, when the determination result is: when the node adjacent to the initial leakage point is the final leakage point, in order to ensure the accuracy of leakage detection, the final leakage point can be used as a new initial leakage point, and the step S300 is returned to, and the steps S300 to S413 are repeated until the new initial leakage point is used as the final leakage point after being judged.
In summary, the implementation principle of the method for on-line monitoring of the ground temperature field in embodiment 1 of the present application is as follows: firstly, determining test points by selecting a model, and then receiving operation parameters of the test points, so that the embodiment 1 only performs leak detection on the test points, and does not need to perform leak detection on a large number of nodes, thereby reducing the pressure of the centralized monitoring platform 4 for processing the operation parameters. Meanwhile, after determining the test point, acquiring the temperature, vibration frequency and pressure of the test point, and then judging whether the test point is an initial leakage point by adopting one or more judging modes. After the initial leakage point is determined, the regulation and control information corresponding to the initial leakage point is acquired, and whether the initial leakage point needs to be further judged is determined according to the regulation and control information. When the initial leakage point is determined to be further judged according to the regulation and control information, the operation parameters of each node adjacent to the initial leakage point are called, and finally the final leakage point is determined according to the operation parameters of the initial leakage point and the operation parameters of each node adjacent to the initial leakage point. The method and the device not only relate to the operation parameters of the initial leakage point, but also compare the operation parameters of the initial leakage point with the operation parameters of surrounding nodes when judging whether the initial leakage point is the final leakage point, thereby improving the accuracy of the obtained final leakage point.
Example 2
Example 2 differs from example 1 in that example 2 adds a new way of determining whether the initial leak is the final leak, as shown in fig. 4:
step S510, obtaining the marking time of the initial leakage point;
step S520, the marking time of the node marked as the leakage point in all the nodes adjacent to the initial leakage point is obtained.
In a specific example, when the test point where the abnormality occurs in at least one parameter of the temperature, the vibration frequency, and the pressure is marked as an initial leak point, the centralized monitoring platform 4 also records the marking time stamp, which is also referred to as a marking time. The centralized monitoring platform 4 stores the structure tree, so that when the marking time of the initial leakage point is received, the marking time of the node marked as the leakage point in all nodes adjacent to the initial leakage point can be fetched.
Step S530, based on the obtained marking time, arranging a plurality of marking times in an ascending order mode, and taking the initial leakage point or the leakage point corresponding to the first marking time as the final leakage point.
The method and the device take the marking time as a judging condition for judging whether the initial leakage point is the final leakage point or not, because when the heat pump unit in the ground temperature field 1 leaks, the leaked liquid working medium has fluidity, the node which is marked as the initial leakage point first is taken as the final leakage point, and therefore other nodes are prevented from being taken as the final leakage point by mistake.
It should be noted that the above-mentioned preset time threshold is the flow velocity of the liquid working medium in the ground temperature field 1, which can be obtained through limited test calculation. In addition, since the embodiment 2 is the same as some of the steps in the embodiment 1, the same steps are not repeated in the embodiment 2, but are only shown in fig. 4.
In summary, the implementation principle of the method for on-line monitoring of the ground temperature field in embodiment 2 of the present application is as follows: after determining the test point through the selection model, acquiring the temperature, vibration frequency and pressure of the test point, and judging whether the test point is an initial leakage point or not by adopting one or more judging modes. After the initial leakage point is determined, the regulation and control information corresponding to the initial leakage point is acquired, and whether the initial leakage point needs to be further judged is determined according to the regulation and control information. When the initial leakage point is determined to be further judged according to the regulation and control information, the operation parameter of each node adjacent to the initial leakage point is called, and finally, the final leakage point is determined according to the operation parameter of the initial leakage point, the marking time of the initial leakage point, the operation parameter of the node adjacent to the initial leakage point and the marking time of the node marked as the leakage point in all the nodes adjacent to the initial leakage point, so that when two or more adjacent leakage points are all nodes with real leakage, the final leakage point can be found in time, namely, the obtained final leakage point is ensured to be the real leakage point. In addition, in embodiment 2, the test points are selected by selecting the model, so that the leak detection test is only performed on the test points, and leak detection is not required to be performed on a large number of nodes, so that the data processing burden is reduced, and the leak detection timeliness is ensured.
Fig. 5 shows a block diagram of an on-line monitoring system of a ground temperature field according to an embodiment of the present application, which system comprises a data selection module 41, a data receiving module 42, a data processing module 43, a data acquisition module 44 and a data determination module 45.
The data selection module 41 is configured to determine a plurality of test points from the ground temperature field 1 by using a selection model, where the test points are nodes to be subjected to leak detection test in the ground temperature field 1;
the data receiving module 42 is configured to obtain operation parameters of the plurality of test points, where the operation parameters include temperature, vibration frequency, and pressure:
a data processing module 43, configured to determine a test point at which an abnormality occurs in at least one parameter of temperature, vibration frequency, and pressure as an initial leak point;
a data acquisition module 44 for acquiring an operating parameter of each node adjacent to the initial leak;
the data determining module 45 is configured to determine a final leak according to the operation parameters of the initial leak and the operation parameters of each node adjacent to the initial leak.
In a specific example, the data determining module 45 is further configured to obtain the final leak according to the marking time of the initial leak and the marking time of the node marked as the leak in all nodes adjacent to the initial leak.
The modules involved in the embodiments described in the present application may be implemented by software, or may be implemented by hardware. The described modules may also be provided in a processor, for example, as: a processor comprises a data selection module 41, a data reception module 42, a data processing module 43, a data acquisition module 44 and a data determination module 45. The names of these modules do not in any way limit the module itself, and the data selection module 41 may also be described as "a module for determining a plurality of test points from the ground temperature field 1 using a selection model", for example.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the described modules may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In order to better execute the program of the method, the application also provides an on-line monitoring device of the ground temperature field, which comprises a memory and a processor.
Wherein the memory may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing the above-described on-line monitoring method of a ground temperature field, and the like; the storage data area may store data and the like involved in the above-described on-line monitoring method of the ground temperature field.
The processor may include one or more processing cores. The processor performs the various functions of the present application and processes the data by executing or executing instructions, programs, code sets, or instruction sets stored in memory, calling data stored in memory. The processor may be at least one of an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronic device for implementing the above-mentioned processor function may be other for different apparatuses, and embodiments of the present application are not specifically limited.
The present application also provides a computer-readable storage medium, for example, comprising: a U-disk, a removable hard disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes. The computer readable storage medium stores a computer program that can be loaded by a processor and that performs the above-described method of on-line monitoring of a ground temperature field.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the disclosure. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.
Claims (6)
1. An on-line monitoring method of a ground temperature field is characterized by comprising the following steps:
determining a plurality of test points from a ground temperature field (1) by adopting a selection model, wherein the test points are nodes to be subjected to leak detection test in the ground temperature field (1), and the method comprises the following steps: acquiring a structural tree consisting of all nodes in the ground temperature field (1); taking the bottom-to-top direction of the structural tree as a cutting direction, and cutting the structural tree in a gradient manner according to a preset height value to obtain a plurality of sections; in any one of the sections, determining the center point of each section as a first test point, and circling with the first test point as a circle center and sequentially increasing distances as a radius; selecting a plurality of nodes on different circles on each section as second test points, wherein the distance between any two adjacent second test points on the same circle is within a preset first distance range, and when the second test points on one circle are mapped to the other circle, the second test points on the two circles are not overlapped and the distance between any two adjacent second test points is within a preset second distance range; the first test point and the second test point are combined into a plurality of test points;
Acquiring operation parameters of a plurality of test points, wherein the operation parameters comprise temperature, vibration frequency and pressure;
determining a test point with abnormality of at least one parameter of the temperature, the vibration frequency and the pressure as an initial leakage point, and judging whether the temperature, the vibration frequency and the pressure are abnormal or not by the following judging method: when the temperature exceeds a preset temperature range, judging that the temperature is abnormal; when the vibration frequency exceeds a preset vibration frequency range, judging that the vibration frequency is abnormal; when the pressure exceeds a preset pressure range, judging that the pressure is abnormal;
acquiring operation parameters of each node adjacent to the initial leakage point;
determining a final leak according to the operation parameters of the initial leak and the operation parameters of each node adjacent to the initial leak, including: marking the abnormal temperature and/or abnormal vibration frequency and/or abnormal pressure as abnormal elements; acquiring a comparison element corresponding to the abnormal element from the operation parameters of each node adjacent to the initial leakage point, wherein the comparison element and the information contained by the abnormal element belong to the same category, and the category comprises a temperature type, a vibration type and a pressure type; determining a final leak point by comparing the abnormal element with the control element according to the abnormal type of the abnormal element, including: when the abnormal element is higher than a preset threshold range, the preset threshold range is one or more of a preset temperature range, a preset vibration frequency range and a preset pressure range; judging whether the following conditions are satisfied: the control element is greater than the anomaly element; if yes, the node with the comparison element larger than the abnormal element is the final leakage point; if not, the initial leakage point is the final leakage point; or when the abnormal element is lower than a preset threshold range, judging whether the abnormal element meets the following conditions: the control element is smaller than the abnormal element; if yes, the node with the comparison element larger than the abnormal element is the final leakage point; if not, the initial leakage point is the final leakage point.
2. The method for on-line monitoring of a ground temperature field according to claim 1, wherein when the node at which abnormality occurs in at least one of the temperature, the vibration frequency, and the pressure is determined as an initial leak point, a marking time is also recorded, the method further comprising:
and obtaining a final leakage point according to the marking time of the initial leakage point and the marking time of the node marked as the leakage point in all nodes adjacent to the initial leakage point.
3. The method for on-line monitoring of a ground temperature field according to claim 2, wherein the obtaining a final leak point according to the marking time of the initial leak point and the marking time of the node marked as the leak point in all nodes adjacent to the initial leak point comprises:
arranging a plurality of marking times in an ascending order;
and taking the initial leak points or the leak points corresponding to the first marking time in the sequence as the final leak points.
4. An on-line monitoring system for a ground temperature field, comprising:
the data selection module (41) is used for determining a plurality of test points from the ground temperature field (1) by adopting a selection model, wherein the test points are nodes to be subjected to leak detection test in the ground temperature field (1), and the data selection module comprises: acquiring a structural tree consisting of all nodes in the ground temperature field (1); taking the bottom-to-top direction of the structural tree as a cutting direction, and cutting the structural tree in a gradient manner according to a preset height value to obtain a plurality of sections; in any one of the sections, determining the center point of each section as a first test point, and circling with the first test point as a circle center and sequentially increasing distances as a radius; selecting a plurality of nodes on different circles on each section as second test points, wherein the distance between any two adjacent second test points on the same circle is within a preset first distance range, and when the second test points on one circle are mapped to the other circle, the second test points on the two circles are not overlapped and the distance between any two adjacent second test points is within a preset second distance range; the first test point and the second test point are combined into a plurality of test points;
A data receiving module (42) for acquiring operating parameters of a plurality of the test points, the operating parameters including temperature, vibration frequency and pressure;
the data processing module (43) is used for determining a test point with abnormality of at least one parameter of the temperature, the vibration frequency and the pressure as an initial leakage point, and judging whether the temperature, the vibration frequency and the pressure are abnormal or not by the following judging mode: when the temperature exceeds a preset temperature range, judging that the temperature is abnormal; when the vibration frequency exceeds a preset vibration frequency range, judging that the vibration frequency is abnormal; when the pressure exceeds a preset pressure range, judging that the pressure is abnormal;
a data acquisition module (44) for acquiring an operating parameter of each node adjacent to the initial leak;
a data determining module (45) for determining a final leak based on the operating parameters of the initial leak and the operating parameters of each node adjacent to the initial leak, comprising: marking the abnormal temperature and/or abnormal vibration frequency and/or abnormal pressure as abnormal elements; acquiring a comparison element corresponding to the abnormal element from the operation parameters of each node adjacent to the initial leakage point, wherein the comparison element and the information contained by the abnormal element belong to the same category, and the category comprises a temperature type, a vibration type and a pressure type; determining a final leak point by comparing the abnormal element with the control element according to the abnormal type of the abnormal element, including: when the abnormal element is higher than a preset threshold range, the preset threshold range is one or more of a preset temperature range, a preset vibration frequency range and a preset pressure range; judging whether the following conditions are satisfied: the control element is greater than the anomaly element; if yes, the node with the comparison element larger than the abnormal element is the final leakage point; if not, the initial leakage point is the final leakage point; or when the abnormal element is lower than a preset threshold range, judging whether the abnormal element meets the following conditions: the control element is smaller than the abnormal element; if yes, the node with the comparison element larger than the abnormal element is the final leakage point; if not, the initial leakage point is the final leakage point.
5. An on-line monitoring device of a ground temperature field, comprising a memory and a processor, the memory having stored thereon a computer program, the processor implementing the method of any of claims 1-3 when executing the program.
6. A computer readable storage medium, characterized in that a computer program is stored thereon, which program, when being executed by a processor, implements the method according to any of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311371078.XA CN117108939B (en) | 2023-10-23 | 2023-10-23 | Online monitoring method, system and device for ground temperature field and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311371078.XA CN117108939B (en) | 2023-10-23 | 2023-10-23 | Online monitoring method, system and device for ground temperature field and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117108939A CN117108939A (en) | 2023-11-24 |
| CN117108939B true CN117108939B (en) | 2024-01-02 |
Family
ID=88795074
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311371078.XA Active CN117108939B (en) | 2023-10-23 | 2023-10-23 | Online monitoring method, system and device for ground temperature field and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117108939B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101613396B1 (en) * | 2015-05-28 | 2016-04-18 | 주식회사 삼천리 | Apparatus for detecting fluid leakage |
| CN110173627A (en) * | 2019-06-03 | 2019-08-27 | 山东建筑大学 | A kind of solar energy system |
| CN111853552A (en) * | 2020-07-29 | 2020-10-30 | 北京市劳动保护科学研究所 | Heat supply pipeline leakage online detection positioning method |
| CN112413414A (en) * | 2020-12-11 | 2021-02-26 | 大连海心信息工程有限公司 | Comprehensive detection method for leakage of heat supply pipe network |
| CN112729688A (en) * | 2021-01-12 | 2021-04-30 | 南京大学 | Oil-gas pipeline leakage detection method based on vibration and temperature double parameters |
| CN113701061A (en) * | 2021-09-15 | 2021-11-26 | 石家庄西岭供热有限公司 | Pipeline leakage detection method, detection system and construction method |
| CN115218129A (en) * | 2022-06-23 | 2022-10-21 | 珠海智通信息技术有限公司 | Water supply network leakage monitoring method, computer device and storage medium |
| CN115597790A (en) * | 2022-09-26 | 2023-01-13 | 华能青岛热电有限公司（Cn） | Heat supply pipeline leakage detection and positioning method based on multi-source information fusion |
| CN115789963A (en) * | 2022-12-05 | 2023-03-14 | 珠海格力电器股份有限公司 | Heat pump hot water unit and water leakage detection method and detection device thereof |
| CN116576403A (en) * | 2023-05-08 | 2023-08-11 | 中国建筑科学研究院有限公司 | Urban heat supply pipe network leakage detection method, device, equipment and storage medium |
| CN116877934A (en) * | 2023-06-27 | 2023-10-13 | 国家石油天然气管网集团有限公司 | Detection method and system suitable for early warning of abnormal pipeline network |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2404940C (en) * | 2000-05-02 | 2007-01-09 | Vista Research, Inc. | Improved methods for detecting leaks in pressurized piping with a pressure measurement system |
-
2023
- 2023-10-23 CN CN202311371078.XA patent/CN117108939B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101613396B1 (en) * | 2015-05-28 | 2016-04-18 | 주식회사 삼천리 | Apparatus for detecting fluid leakage |
| CN110173627A (en) * | 2019-06-03 | 2019-08-27 | 山东建筑大学 | A kind of solar energy system |
| CN111853552A (en) * | 2020-07-29 | 2020-10-30 | 北京市劳动保护科学研究所 | Heat supply pipeline leakage online detection positioning method |
| CN112413414A (en) * | 2020-12-11 | 2021-02-26 | 大连海心信息工程有限公司 | Comprehensive detection method for leakage of heat supply pipe network |
| CN112729688A (en) * | 2021-01-12 | 2021-04-30 | 南京大学 | Oil-gas pipeline leakage detection method based on vibration and temperature double parameters |
| CN113701061A (en) * | 2021-09-15 | 2021-11-26 | 石家庄西岭供热有限公司 | Pipeline leakage detection method, detection system and construction method |
| CN115218129A (en) * | 2022-06-23 | 2022-10-21 | 珠海智通信息技术有限公司 | Water supply network leakage monitoring method, computer device and storage medium |
| CN115597790A (en) * | 2022-09-26 | 2023-01-13 | 华能青岛热电有限公司（Cn） | Heat supply pipeline leakage detection and positioning method based on multi-source information fusion |
| CN115789963A (en) * | 2022-12-05 | 2023-03-14 | 珠海格力电器股份有限公司 | Heat pump hot water unit and water leakage detection method and detection device thereof |
| CN116576403A (en) * | 2023-05-08 | 2023-08-11 | 中国建筑科学研究院有限公司 | Urban heat supply pipe network leakage detection method, device, equipment and storage medium |
| CN116877934A (en) * | 2023-06-27 | 2023-10-13 | 国家石油天然气管网集团有限公司 | Detection method and system suitable for early warning of abnormal pipeline network |
Non-Patent Citations (4)
| Title |
|---|
| 利用光纤温度传感系统检测天然气管道泄漏;袁朝庆;刘燕;才英俊;靳志强;;天然气工业;26(08);第117-119页 * |
| 埋地管道夏季泄漏土壤温度场及原油分布数值计算;徐传雨;付吉强;卷文龙;任凤;郝泽才;;当代化工;41(07);第747-750页 * |
| 基于光纤传感的管道线路复杂状态监测技术;蔡永军;杨士梅;李妍;任恺;蔡文超;赵迎波;白路遥;;油气储运;39(04);第434-440页 * |
| 热网关键节点泄漏监测系统的设计与研发;范乐;中国优秀博硕士学位论文全文数据库(硕士) 信息科技辑(8);第1-77页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117108939A (en) | 2023-11-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11061392B2 (en) | Smart HVAC manifold system | |
| CN102934036B (en) | For estimating the system and method based on model of parameter in temperature controlled space and state | |
| CN106594966A (en) | Method for detecting refrigerant leakage of air conditioning system and air conditioning system | |
| US20150292985A1 (en) | Smart hvac manifold system | |
| CN105102909A (en) | System for refrigerant charge verification | |
| US10969127B2 (en) | Residential energy efficiency rating system | |
| WO2014078438A2 (en) | Equipment and methods for designing geothermal heat exchange systems | |
| CN111043709B (en) | Method for detecting fluorine deficiency state of refrigerant | |
| CN105091076A (en) | Energy-saving effect calculation method and device | |
| CN104566820A (en) | Air conditioner, air conditioner control method and air conditioner control device | |
| CN110810027B (en) | Grain temperature-based circulation temperature control method in granary | |
| CN117108939B (en) | Online monitoring method, system and device for ground temperature field and storage medium | |
| JP6397302B2 (en) | Device diagnosis apparatus, device diagnosis method, and device diagnosis program | |
| Hu et al. | Identification of simplified energy performance models of variable-speed air conditioners using likelihood ratio test method | |
| CN117128461B (en) | Leakage detection method, system and device for ground temperature field and storage medium | |
| CN117131455B (en) | Method, system, device and storage medium for processing operation parameters of ground temperature field | |
| KR102344301B1 (en) | Apparatus and method for designing coiled energy file | |
| CN207147010U (en) | The system whether detection frequency conversion refrigeration plant lacks refrigerant | |
| CN115169079A (en) | Air conditioner heat load calculation method and device, electronic equipment and storage medium | |
| McDonald et al. | Virtual flow meter for chilled and condenser water for chillers: Estimates versus measurements | |
| CN104713408A (en) | Cooling tower noise monitoring system and method | |
| CN107166659A (en) | Temperature sensor category identification method, system and air-conditioning | |
| CN213209163U (en) | Refrigerant mass flow measuring device of air conditioner heat pump system | |
| CN110779171B (en) | Air source heat pump unit control method, electronic equipment and computer readable storage medium | |
| JP5922907B2 (en) | Air conditioning heat consumption evaluation apparatus and method |
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 |