CN115326245A - Boiler pipeline stress monitoring system based on BIM cloud rendering - Google Patents
Boiler pipeline stress monitoring system based on BIM cloud rendering Download PDFInfo
- Publication number
- CN115326245A CN115326245A CN202211244342.9A CN202211244342A CN115326245A CN 115326245 A CN115326245 A CN 115326245A CN 202211244342 A CN202211244342 A CN 202211244342A CN 115326245 A CN115326245 A CN 115326245A
- Authority
- CN
- China
- Prior art keywords
- pipeline
- subarea
- grade
- stress
- representing
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/14—Pipes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Abstract
The invention provides a boiler pipeline stress monitoring system based on BIM cloud rendering, which comprises a modeling data acquisition module, a preprocessing module, a BIM cloud rendering module, a monitoring module and at least two sensing detection modules, wherein the building information acquisition module is used for acquiring building information of a boiler pipeline; the modeling data acquisition module is used for acquiring modeling data of the whole target boiler pipeline; the BIM cloud rendering module is used for establishing a BIM model according to the modeling data; the sensing detection module is used for detecting the stress condition of each pipeline in the subarea to generate subarea pipeline stress information; the whole target boiler pipeline is divided into at least two subareas by a monitor; the preprocessing module is used for carrying out grade evaluation preprocessing on the partitioned pipeline stress information; the BIM cloud rendering module is used for updating the BIM according to the preprocessed partitioned pipeline stress information; the monitoring module is used for monitoring the BIM model and generating monitoring information. The invention has the effect of improving the accuracy and timeliness of the monitoring system.
Description
Technical Field
The invention relates to the technical field of pipeline stress monitoring, in particular to a boiler pipeline stress monitoring system based on BIM cloud rendering.
Background
The BIM (Building Information Modeling) technology can help to realize the integration of Building Information, and various Information is always integrated in a three-dimensional model Information database from the design, construction and operation of a Building to the end of the whole life cycle of the Building, so that personnel of a design team, a construction unit, a facility operation department, an owner and the like can perform cooperative work based on the BIM, thereby effectively improving the working efficiency, saving resources, reducing the cost and realizing sustainable development. The core of BIM is to provide a complete building engineering information base consistent with the actual situation for a virtual building engineering three-dimensional model by establishing the model and utilizing the digital technology. The boiler is an energy conversion device, the energy input to the boiler comprises chemical energy and electric energy in fuel, and the boiler outputs steam, high-temperature water or an organic heat carrier with certain heat energy. The pipeline stress monitoring is to check and monitor the primary stress generated by the pipeline under the action of internal pressure, self weight and other external loads, the secondary stress generated when the thermal expansion, cold contraction and displacement are restrained, and the thrust and moment of the pipeline to the equipment.
A number of pipeline stress monitoring systems have been developed, and through extensive search and reference, it is found that the pipeline stress monitoring systems in the prior art include pipeline stress monitoring systems disclosed in publication nos. CN110031134A, CN112924080A, CN113340490A, EP0105358A1, US20160356665A1, and JP 0820157052A, and these pipeline stress monitoring systems generally include: the device comprises a terminal, a magnetic induction device and a control component, wherein the magnetic induction device is arranged on the surface of the pipeline to be detected, the control component is connected with the magnetic induction device, and the control component is in communication connection with the terminal. The magnetic induction device is used for collecting a magnetic field around the pipeline to be measured at the current moment, outputting an analog electric signal and sending the analog electric signal to the control component. The control component is used for receiving the analog electric signal, converting the analog electric signal into a digital signal, calculating stress data of the pipeline to be tested according to the digital signal and sending the stress data to the terminal. If be applied to the boiler field with above-mentioned pipeline stress monitoring system, because above-mentioned pipeline stress monitoring system's detection mode is single, and data is single, is difficult for reacing the abnormal conditions directly perceivedly moreover, and the visual degree of data is lower, has caused monitoring system's accuracy and the defect that the promptness descends.
Disclosure of Invention
The invention aims to provide a boiler pipeline stress monitoring system based on BIM cloud rendering aiming at the defects of the pipeline stress monitoring system.
The invention adopts the following technical scheme:
a boiler pipeline stress monitoring system based on BIM cloud rendering comprises a modeling data acquisition module, a preprocessing module, a BIM cloud rendering module, a monitoring module and at least two sensing detection modules; the modeling data acquisition module is used for acquiring modeling data of the whole target boiler pipeline; the BIM cloud rendering module is used for establishing a BIM model of the whole target boiler pipeline according to modeling data; the sensing detection module is used for being connected with the corresponding subarea of the boiler pipeline and detecting the stress condition of each pipeline in the corresponding subarea, and if the stress condition of each pipeline in the corresponding subarea is abnormal, subarea pipeline stress information is generated; the whole target boiler pipeline is pre-selected and divided into at least two subareas by a monitor; the preprocessing module is used for carrying out grade evaluation preprocessing on the stress information of each partitioned pipeline; the BIM cloud rendering module is used for updating a BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea; the monitoring module is used for monitoring the updated BIM model of the whole target boiler pipeline to generate monitoring information;
the modeling data acquisition module comprises an appearance data acquisition submodule, a medium data acquisition submodule and a size data acquisition submodule; the appearance data acquisition submodule is used for acquiring the integral color data and shape data of the target boiler pipeline; the medium data acquisition submodule is used for acquiring medium data in the boiler pipeline; the size data acquisition submodule is used for acquiring the size data of the whole target boiler pipeline;
the BIM cloud rendering module comprises a modeling rendering submodule and an updating submodule; the modeling rendering submodule is used for constructing a BIM model of the whole target boiler pipeline according to modeling data; the updating submodule is used for updating the BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea;
the preprocessing module comprises a grade scoring calculation sub-module and a grade selection sub-module; the grade score calculation submodule is used for calculating corresponding grade scores according to the stress information of the partitioned pipelines; the grade selection submodule is used for selecting corresponding grades for the stress information of the corresponding subarea pipelines according to the grade scores; and the updating submodule is used for updating the BIM model of the whole target boiler pipeline according to the grade order of the preprocessed pipeline stress information of each subarea.
Optionally, when the grade score calculating sub-module calculates, the following equation is satisfied:
wherein, the first and the second end of the pipe are connected with each other,a grade score representing corresponding zonal pipeline stress information;representing a time interval transfer function;represents a temporal weight coefficient;representing a value selecting function of the working state;representing zonal pipe stress informationThe radius of the root canal;representing a total number of associated tubes in the zoned tube stress information;representing a pipe radius weight coefficient;representing a medium level transfer function;representing zoned pipe stress informationThe length of the root canal;representing a pipe length weight coefficient;、andare all based on by a monitorSetting experience;
wherein the content of the first and second substances,representing the generation time of the partition pipeline stress information on the day;the time conversion base number is represented and is set by a monitor according to the actual situation;representing zonal pipe stress informationThe working state of the root canal;indicating a non-operational state;indicating that it is in an operating state;the working state conversion base number is represented and set by a monitor according to the actual situation;representing zonal pipe stress informationThe media grade of the root canal;is shown asThe medium grade of the root pipeline is one grade;is shown asThe medium grade of the root pipeline is two grades;is shown asThe medium grade of the root pipeline is three grades; the medium grade is pre-rated by a monitor according to the type of the medium;the medium grade conversion base number is represented and set by a monitor according to actual conditions.
Optionally, when the level selection sub-module selects the level, the following equation is satisfied:
wherein the content of the first and second substances,representing the grade of the stress information of the pipeline of the corresponding subarea;a grading function representing grade scores;
wherein the content of the first and second substances,an adjustment function representing a rating score;the grading threshold values are set by a monitor according to actual conditions;represents the minimum value of the grade score;representing the total number of tubes of the target boiler tube.
Optionally, the sensing detection module includes a mode switching unit, a detection time interval calculation unit, and a detection unit, where the mode switching unit is configured to switch the detection unit into a continuous detection mode or an intermittent detection mode, and the detection time interval calculation unit is configured to calculate a detection time interval of each partition in the intermittent detection module; the detection unit is used for detecting each subarea according to the mode information and the detection time interval;
when the detection time interval calculation unit performs calculation, the following equation is satisfied:
wherein, the first and the second end of the pipe are connected with each other,indicating the detection time interval of the corresponding partition, i.e. every other partitionDetecting for one time in seconds;a basic time interval representing an intermittent detection mode is set by a monitor according to actual conditions;the temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated is represented;indicating the standard temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated;representing the total number of pipelines in the pipeline stress information of the last partition of the same partition;representing a first time conversion factor;representing a second time conversion factor;andall the monitoring personnel set according to experience or actual conditions;represent the sameAnd the actual pressure of the mth pipeline when the stress information of the pipeline in the last subarea of the subarea is generated.
A boiler pipeline stress monitoring method based on BIM cloud rendering is applied to the boiler pipeline stress monitoring system based on BIM cloud rendering, and comprises the following steps:
s1, obtaining modeling data of the whole target boiler pipeline;
s2, establishing a BIM model of the whole target boiler pipeline according to modeling data;
s3, detecting the stress condition of each pipeline in the corresponding subarea, and generating subarea pipeline stress information if the stress condition of each pipeline in the corresponding subarea is abnormal;
s4, carrying out grade evaluation pretreatment on the stress information of each partitioned pipeline;
s5, updating the BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea;
and S6, monitoring the updated BIM model of the whole target boiler pipeline to generate monitoring information.
The beneficial effects obtained by the invention are as follows:
1. the modeling data acquisition module, the preprocessing module, the BIM cloud rendering module, the monitoring module and the at least two sensing detection modules are arranged to facilitate modeling, real-time updating and real-time monitoring of the whole target boiler pipeline in a factory based on BIM cloud rendering, and the BIM model is updated in a partitioning manner to facilitate improvement of accuracy and real-time performance of the BIM model, so that a monitor can be informed more efficiently, accurately and timely when an abnormality occurs, and accuracy and timeliness of a monitoring system are improved;
2. the setting of the grade grading calculation submodule and the grade selection submodule is matched with a grade grading algorithm, so that the grading of the stress information of each partition pipeline is favorably carried out in advance, the updating submodule can update the BIM model more quickly and accurately according to the grade sequence, the priority updating of the stress information of the partition pipeline with higher grade is favorably carried out, and the monitoring feedback is more timely;
3. the mode switching unit, the detection time interval calculation unit and the detection unit are arranged to be matched with a detection time interval algorithm, so that multi-mode efficient monitoring of the boiler pipeline is realized, the mode is selected according to actual conditions so as to save electric energy and save cost, and the detection time interval is matched with the specific conditions of the boiler pipeline so as to realize timely and accurate intermittent monitoring;
4. the arrangement that the BIM cloud rendering module is surrounded by the factory and the preprocessing module is beneficial to forming progressive data processing and layered monitoring, the monitoring efficiency, accuracy and timeliness are improved, and the accuracy and stability of the monitoring system are further improved through monitoring of a manager at the factory and monitoring of a monitor at the BIM cloud rendering module;
5. the updating submodule comprises an allocation unit and an algorithm of setting and matching allocation values of at least two updating units, and is beneficial to better and more timely allocating corresponding partitioned pipeline stress information for the corresponding updating units, so that the updating mode of the BIM model is further optimized, more urgent abnormal conditions can be fed back more easily, and the timeliness of the monitoring system is improved.
For a better understanding of the features and technical content of the present invention, reference should be made to the following detailed description of the invention and accompanying drawings, which are provided for purposes of illustration and description only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic view showing the overall zoning effect of the target boiler tube in the present invention;
FIG. 3 is a schematic diagram of the application of the position relationship between the preprocessing module and the BIM cloud rendering module according to the present invention;
fig. 4 is a schematic flow chart of a method for monitoring boiler pipeline stress based on BIM cloud rendering according to the present invention.
Detailed Description
The following is a description of embodiments of the present invention with reference to specific embodiments, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of the present specification. The invention is capable of other and different embodiments and its several details are capable of modifications and various changes in detail without departing from the spirit and scope of the present invention. The drawings of the present invention are for illustrative purposes only and are not drawn to scale. The following embodiments will further explain the technical matters related to the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
The first embodiment.
The embodiment provides a boiler pipe stress monitoring system based on BIM cloud rendering. With reference to fig. 1 and 2, a boiler pipeline stress monitoring system based on BIM cloud rendering comprises a modeling data acquisition module, a preprocessing module, a BIM cloud rendering module, a monitoring module and at least two sensing detection modules; the modeling data acquisition module is used for acquiring modeling data of the whole target boiler pipeline; the BIM cloud rendering module is used for establishing a BIM model of the whole target boiler pipeline according to modeling data; the sensing detection module is used for being connected with the corresponding subarea of the boiler pipeline and detecting the stress condition of each pipeline in the corresponding subarea, and if the stress condition of each pipeline in the corresponding subarea is abnormal, subarea pipeline stress information is generated; the whole target boiler pipeline is pre-selected and divided into at least two subareas by a monitor; the preprocessing module is used for carrying out grade evaluation preprocessing on the stress information of each partitioned pipeline; the BIM cloud rendering module is used for updating a BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea; the monitoring module is used for monitoring the updated BIM model of the whole target boiler pipeline to generate monitoring information;
the modeling data acquisition module comprises an appearance data acquisition submodule, a medium data acquisition submodule and a size data acquisition submodule; the appearance data acquisition submodule is used for acquiring the integral color data and shape data of the target boiler pipeline; the medium data acquisition submodule is used for acquiring medium data in the boiler pipeline; the size data acquisition submodule is used for acquiring the size data of the whole target boiler pipeline;
the BIM cloud rendering module comprises a modeling rendering submodule and an updating submodule; the modeling rendering submodule is used for constructing a BIM model of the whole target boiler pipeline according to modeling data; the updating submodule is used for updating the BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea;
the preprocessing module comprises a grade scoring calculation sub-module and a grade selection sub-module; the grade score calculating submodule is used for calculating corresponding grade scores according to the stress information of the partitioned pipelines; the grade selection submodule is used for selecting corresponding grades for the stress information of the corresponding subarea pipelines according to the grade scores; and the updating submodule is used for updating the BIM model of the whole target boiler pipeline according to the grade order of the preprocessed pipeline stress information of each subarea.
Referring to fig. 3, when the present application is used for monitoring boiler pipelines of at least two plants, the number of the preprocessing modules is at least two, and the preprocessing modules are respectively disposed in the at least two plants, and the BIM cloud rendering module is disposed between the plants, that is, each plant is a configuration surrounding the BIM cloud rendering module. In the application scene, the BIM cloud rendering module receives partitioned pipeline stress information of boiler pipelines from various factories, and the BIM cloud rendering module performs modeling rendering and updates a BIM model by taking the factories as units. The monitoring system further comprises a reading module, wherein the reading module is used for being installed in each factory and used for reading the BIM model, the monitoring information and the like of the corresponding factory from the BIM cloud rendering module, so that a manager in the factory can manage and monitor the BIM model, the monitoring information and the like. The installation position of the BIM cloud rendering module is also provided with a monitor to play a role in overall monitoring, so that the abnormality can be found in time and a corresponding factory can be informed.
Optionally, when the grade score calculating sub-module calculates, the following equation is satisfied:
wherein, the first and the second end of the pipe are connected with each other,grade scores representing corresponding zonal pipeline stress information;representing a time interval transfer function;represents a temporal weight coefficient;representing a value selecting function of the working state;representing zonal pipe stress informationThe radius of the root canal;representing the total number of relevant tubes in the partitioned tube stress information;representing a pipe radius weight coefficient;representing a medium level transfer function;representing zoned pipe stress informationThe length of the root canal;representing a pipe length weight coefficient;、andall are set by monitors according to experience;
wherein the content of the first and second substances,representing the generation time of the day of the partition pipeline stress information;the time conversion base number is represented and is set by a monitor according to the actual situation;representing zoned pipe stress informationThe working state of the root pipeline;indicating a non-operational state;indicating that the device is in a working state;the working state conversion base number is represented and set by a monitor according to the actual situation;representing zoned pipe stress informationThe media grade of the root pipe;denotes the firstThe medium grade of the root pipeline is first grade;denotes the firstThe medium grade of the root pipeline is two grades;is shown asThe medium grade of the root pipeline is three levels; the medium grade is pre-evaluated by a monitor according to the type of the medium;the medium grade conversion base number is represented and set by a monitor according to actual conditions.
Optionally, when the level selection sub-module selects the level, the following equation is satisfied:
wherein the content of the first and second substances,representing the level of stress information of the corresponding subarea pipeline;a grading function representing grade scores;
wherein the content of the first and second substances,an adjustment function representing a rating score;the classification threshold values are set by a monitor according to actual conditions;represents the minimum value of the grade score;representing the total number of tubes of the target boiler tube.
Optionally, the sensing detection module includes a mode switching unit, a detection time interval calculation unit, and a detection unit, where the mode switching unit is configured to switch the detection unit into a continuous detection mode or an intermittent detection mode, and the detection time interval calculation unit is configured to calculate a detection time interval of each partition in the intermittent detection module; the detection unit is used for detecting each subarea according to the mode information and the detection time interval;
when the detection time interval calculation unit performs calculation, the following equation is satisfied:
wherein, the first and the second end of the pipe are connected with each other,indicating the detection time interval of the corresponding partition, i.e. every other partitionDetecting once in second;the basic time interval of the intermittent detection mode is set by a monitor according to the actual situation;the temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated is represented;indicating the standard temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated;representing the total number of pipelines in the pipeline stress information of the last partition of the same partition;representing a first time conversion factor;representing a second time conversion factor;andall the monitoring personnel set according to experience or actual conditions;and the actual pressure of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated is shown.
When the overall work load of the boiler pipeline is small, a monitor can switch the detection mode into an intermittent detection mode through the mode switching unit so as to save electricity and reduce the monitoring cost.
A boiler pipeline stress monitoring method based on BIM cloud rendering is applied to the boiler pipeline stress monitoring system based on BIM cloud rendering, and is shown in a combined view of FIG. 4, and the monitoring method comprises the following steps:
s1, obtaining integral modeling data of a target boiler pipeline;
s2, establishing a BIM model of the whole target boiler pipeline according to modeling data;
s3, detecting the stress condition of each pipeline in the corresponding subarea, and generating subarea pipeline stress information if the stress condition of each pipeline in the corresponding subarea is abnormal;
s4, carrying out grade evaluation pretreatment on the stress information of each partitioned pipeline;
s5, updating the BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea;
and S6, monitoring the updated BIM model of the whole target boiler pipeline to generate monitoring information.
Example two.
The embodiment includes the whole content of the first embodiment, and provides a boiler pipeline stress monitoring system based on BIM cloud rendering, wherein the updating submodule comprises a distribution unit and at least two updating units; the distribution unit is used for distributing the partitioned pipeline stress information to the corresponding updating units according to the grade order of the corresponding partitioned pipeline stress information; and the updating unit is used for updating the corresponding subarea in the BIM according to the corresponding subarea pipeline stress information.
The zonal pipeline stress information may include, but is not limited to, pressure information, temperature information, displacement information, and vibration information within the pipeline at the time of an anomaly in the pipeline in the corresponding zone. The pipeline is abnormal, namely the real-time detection values of all indexes of the pipeline exceed the use standard intervals of all the indexes of the pipeline.
When the distribution unit works, the distribution value of each updating unit is calculated, and then the stress information of the partitioned pipelines is distributed according to the size sequence of the distribution values, and the following formula is satisfied:
wherein, the first and the second end of the pipe are connected with each other,the value of the assignment is represented by,representing the real-time computing power value of the corresponding updating unit;indicating the first in the history update times of the corresponding update unit to the partitionThe total number of pipelines contained in the stress information of the corresponding subarea pipeline during secondary updating;indicating the total number of historical updates to the partition by the corresponding update unit.
And according to the distribution value of each updating unit, the distribution unit distributes the stress information of the subarea pipelines according to the grade of the stress information of the subarea pipelines and the distribution value of the updating unit, and the subarea pipeline stress information with higher grade is distributed to the updating unit with higher distribution value.
The above disclosure is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, so that all the modifications and equivalents of the technical changes and equivalents made by the disclosure and drawings are included in the scope of the present invention, and the elements thereof may be updated as the technology develops.
Claims (5)
1. A boiler pipeline stress monitoring system based on BIM cloud rendering is characterized by comprising a modeling data acquisition module, a preprocessing module, a BIM cloud rendering module, a monitoring module and at least two sensing detection modules; the modeling data acquisition module is used for acquiring modeling data of the whole target boiler pipeline; the BIM cloud rendering module is used for establishing a BIM model of the whole target boiler pipeline according to modeling data; the sensing detection module is used for being connected with the corresponding subarea of the boiler pipeline and detecting the stress condition of each pipeline in the corresponding subarea, and if the stress condition of each pipeline in the corresponding subarea is abnormal, subarea pipeline stress information is generated; the whole target boiler pipeline is pre-selected and divided into at least two subareas by a monitor; the preprocessing module is used for carrying out grade evaluation preprocessing on the stress information of each partitioned pipeline; the BIM cloud rendering module is used for updating a BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea; the monitoring module is used for monitoring the updated BIM model of the whole target boiler pipeline to generate monitoring information;
the modeling data acquisition module comprises an appearance data acquisition submodule, a medium data acquisition submodule and a size data acquisition submodule; the appearance data acquisition submodule is used for acquiring the integral color data and shape data of the target boiler pipeline; the medium data acquisition submodule is used for acquiring medium data in the boiler pipeline; the size data acquisition submodule is used for acquiring the size data of the whole target boiler pipeline;
the BIM cloud rendering module comprises a modeling rendering submodule and an updating submodule; the modeling rendering submodule is used for constructing a BIM model of the whole target boiler pipeline according to modeling data; the updating submodule is used for updating the BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea;
the preprocessing module comprises a grade scoring calculation sub-module and a grade selection sub-module; the grade score calculation submodule is used for calculating corresponding grade scores according to the stress information of the partitioned pipelines; the grade selection submodule is used for selecting corresponding grades for the stress information of the corresponding subarea pipelines according to the grade scores; and the updating submodule is used for updating the BIM model of the whole target boiler pipeline according to the grade order of the preprocessed pipeline stress information of each subarea.
2. The BIM cloud rendering based boiler tube stress monitoring system of claim 1, wherein when calculated by the grade score calculation submodule, the following equation is satisfied:
wherein the content of the first and second substances,grade scores representing corresponding zonal pipeline stress information;representing a time interval transfer function;represents a temporal weight coefficient;a value selection function representing the working state;representing zonal pipe stress informationThe radius of the root canal;representing the total number of relevant tubes in the partitioned tube stress information;representing a pipe radius weight coefficient;representing a medium level transfer function;representing zonal pipe stress informationThe length of the root canal;representing a pipe length weight coefficient;、andall are set by monitors according to experience;
wherein, the first and the second end of the pipe are connected with each other,representing the generation time of the day of the partition pipeline stress information;the time conversion base number is represented and is set by a monitor according to the actual situation;representing zoned pipe stress informationThe working state of the root pipeline;indicating a non-operational state;indicating that the device is in a working state;the working state conversion base number is represented and set by a monitor according to the actual situation;representing zonal pipe stress informationThe media grade of the root canal;is shown asThe medium grade of the root pipeline is one grade;is shown asThe medium grade of the root pipeline is two grades;is shown asThe medium grade of the root pipeline is three grades; the medium grade is pre-evaluated by a monitor according to the type of the medium;the medium grade conversion base number is represented and set by a monitor according to actual conditions.
3. The BIM cloud rendering based boiler pipe stress monitoring system of claim 2, wherein the grade selection submodule, when selecting a grade, satisfies the following equation:
wherein, the first and the second end of the pipe are connected with each other,representing the grade of the stress information of the pipeline of the corresponding subarea;a grading function representing grade scores;
wherein the content of the first and second substances,an adjustment function representing a rating score;the classification threshold values are set by a monitor according to actual conditions;represents the minimum value of the rating score;representing the total number of tubes of the target boiler tube.
4. The BIM cloud rendering based boiler pipe stress monitoring system of claim 3, wherein the sensing detection module comprises a mode switching unit, a detection time interval calculation unit and a detection unit, the mode switching unit is used for switching the detection unit into a continuous detection mode or an intermittent detection mode, and the detection time interval calculation unit is used for calculating the detection time interval of each partition in the intermittent detection module; the detection unit is used for detecting each subarea according to the mode information and the detection time interval;
when the detection time interval calculation unit performs calculation, the following equation is satisfied:
wherein the content of the first and second substances,indicating detection time intervals of corresponding partitions, i.e. every other partitionDetecting for one time in seconds;the basic time interval of the intermittent detection mode is set by a monitor according to the actual situation;the temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated is represented;indicating the standard temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated;representing the total number of pipelines in the pipeline stress information of the last partition of the same partition;representing a first time conversion factor;representing a second time conversion factor;andall the monitoring personnel set according to experience or actual conditions;and the actual pressure of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated is shown.
5. The BIM cloud rendering-based boiler pipeline stress monitoring method is applied to the BIM cloud rendering-based boiler pipeline stress monitoring system of claim 4, and the monitoring method comprises the following steps:
s1, obtaining modeling data of the whole target boiler pipeline;
s2, establishing a BIM model of the whole target boiler pipeline according to modeling data;
s3, detecting the stress condition of each pipeline in the corresponding subarea, and generating subarea pipeline stress information if the stress condition of each pipeline in the corresponding subarea is abnormal;
s4, carrying out grade evaluation pretreatment on the stress information of each partitioned pipeline;
s5, updating the BIM model of the whole target boiler pipeline according to the preprocessed pipeline stress information of each subarea;
and S6, monitoring the updated BIM model of the whole target boiler pipeline to generate monitoring information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211244342.9A CN115326245B (en) | 2022-10-12 | 2022-10-12 | Boiler pipeline stress monitoring system based on BIM cloud rendering |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211244342.9A CN115326245B (en) | 2022-10-12 | 2022-10-12 | Boiler pipeline stress monitoring system based on BIM cloud rendering |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115326245A true CN115326245A (en) | 2022-11-11 |
CN115326245B CN115326245B (en) | 2022-12-09 |
Family
ID=83914356
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211244342.9A Active CN115326245B (en) | 2022-10-12 | 2022-10-12 | Boiler pipeline stress monitoring system based on BIM cloud rendering |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115326245B (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106642058A (en) * | 2016-11-16 | 2017-05-10 | 中国神华能源股份有限公司 | Boiler pipeline monitoring method and device |
CN207517058U (en) * | 2017-07-14 | 2018-06-19 | 江苏南工科技集团有限公司 | A kind of wisdom safety grade of architecture assessment system based on BIM and cloud computing |
CN111460138A (en) * | 2020-03-02 | 2020-07-28 | 广州高新工程顾问有限公司 | BIM-based digital engineering supervision method and system |
CN112728416A (en) * | 2020-12-18 | 2021-04-30 | 苏州热工研究院有限公司 | High-temperature high-pressure power pipeline state monitoring system |
CN113988495A (en) * | 2020-07-27 | 2022-01-28 | 叶春亮 | Building engineering monitoring method and system based on BIM and monitoring server |
CN114294570A (en) * | 2021-12-23 | 2022-04-08 | 中国特种设备检测研究院 | Oil-gas pipeline stress monitoring and early warning method and system, storage medium and electronic device |
-
2022
- 2022-10-12 CN CN202211244342.9A patent/CN115326245B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106642058A (en) * | 2016-11-16 | 2017-05-10 | 中国神华能源股份有限公司 | Boiler pipeline monitoring method and device |
CN207517058U (en) * | 2017-07-14 | 2018-06-19 | 江苏南工科技集团有限公司 | A kind of wisdom safety grade of architecture assessment system based on BIM and cloud computing |
CN111460138A (en) * | 2020-03-02 | 2020-07-28 | 广州高新工程顾问有限公司 | BIM-based digital engineering supervision method and system |
CN113988495A (en) * | 2020-07-27 | 2022-01-28 | 叶春亮 | Building engineering monitoring method and system based on BIM and monitoring server |
CN112728416A (en) * | 2020-12-18 | 2021-04-30 | 苏州热工研究院有限公司 | High-temperature high-pressure power pipeline state monitoring system |
CN114294570A (en) * | 2021-12-23 | 2022-04-08 | 中国特种设备检测研究院 | Oil-gas pipeline stress monitoring and early warning method and system, storage medium and electronic device |
Also Published As
Publication number | Publication date |
---|---|
CN115326245B (en) | 2022-12-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems | |
CN107133702B (en) | Full-field power prediction method for wind power plant | |
CN101667226B (en) | Method for calculating output loss of wind power field and unit | |
CN105706325A (en) | Grid frequency response | |
JP2005086953A (en) | Energy supply and demand control method and device | |
CN102865459A (en) | Heat supply pipe network leakage positioning system and heat supply pipe network leakage positioning method | |
CN103403463A (en) | Spm fault detection and diagnostics algorithm | |
CN104517238B (en) | Cogeneration units intelligence energy consumption analysis system | |
CN106198218A (en) | A kind of method of the monitoring core level pipeline fatigue using strain transducer | |
JP2010130762A (en) | Electric power supply system containing natural energy generating apparatus and supply/demand adjusting method | |
CN111022932A (en) | Sensor point distribution system and method for water supply pipe network | |
Wang et al. | Fault detection and control in integrated energy system using machine learning | |
KR20150118699A (en) | Method of visualizing estimating generation amount of wind power using gis base realtime weather information | |
CN112070395A (en) | Energy internet reliability evaluation system, model establishing method and evaluation method | |
CN117436700B (en) | BIM-based new energy engineering data management system and method | |
US8874415B2 (en) | System and method for forming failure estimates for a heat recovery steam generator | |
JP2016143336A (en) | Method and apparatus for optimizing configuration of distributed energy system | |
WO2017145461A1 (en) | Power transmission route state detection device, power transmission route state detection system, power transmission route state detection method, power transmission route state detection program and power conversion device | |
CN115326245B (en) | Boiler pipeline stress monitoring system based on BIM cloud rendering | |
CN105244874A (en) | Power distribution network reactive power planning optimization model considering fault risk and cost | |
CN115493093A (en) | Steam heating pipe network leakage positioning method and system based on mechanical simulation | |
CN104700218A (en) | Method and system for confirming power grid subarea number and power grid subarea | |
CN117874688B (en) | Power digital anomaly identification method and system based on digital twin | |
CN117291476B (en) | Urban drainage pipeline evaluation method and system based on remote control robot | |
CN113033933A (en) | Intelligent energy production scheduling system and method based on energy internet |
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 |