CN115326245B - Boiler pipeline stress monitoring system based on BIM cloud rendering - Google Patents

Boiler pipeline stress monitoring system based on BIM cloud rendering Download PDF

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CN115326245B
CN115326245B CN202211244342.9A CN202211244342A CN115326245B CN 115326245 B CN115326245 B CN 115326245B CN 202211244342 A CN202211244342 A CN 202211244342A CN 115326245 B CN115326245 B CN 115326245B
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pipeline
grade
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CN115326245A (en
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刘立甲
刘佳春
董胜利
林建锐
杨海涛
伍雨欣
李霜竞
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Zhuhai Xinyingchuang Energy Technology Co ltd
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    • G—PHYSICS
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    • G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L1/00—Measuring force or stress, in general
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    • G06F2113/00—Details relating to the application field
    • G06F2113/14—Pipes
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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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

Boiler pipeline stress monitoring system based on BIM cloud rendering
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, dead weight and other external loads, the secondary stress generated by the pipeline when the thermal expansion, cold contraction and displacement are restrained, and the thrust and moment of the pipeline to the equipment.
A number of pipe stress monitoring systems have been developed, and after a number of searches and references, it has been found that prior art pipe stress monitoring systems such as those disclosed in publication nos. CN110031134A, CN112924080A, CN113340490A, EP0105358A1, US20160356665A1, and JP2015087052a 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 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.
Optionally, when the grade score calculation sub-module calculates, the following equation is satisfied:
Figure 248675DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 610386DEST_PATH_IMAGE002
a grade score representing corresponding zonal pipeline stress information;
Figure 400619DEST_PATH_IMAGE003
representing a time interval transfer function;
Figure 796965DEST_PATH_IMAGE004
represents a temporal weight coefficient;
Figure 263718DEST_PATH_IMAGE005
representing a value selecting function of the working state;
Figure 361993DEST_PATH_IMAGE006
representing zonal pipe stress information
Figure 408447DEST_PATH_IMAGE007
The radius of the root canal;
Figure 456037DEST_PATH_IMAGE008
representing a total number of associated tubes in the zoned tube stress information;
Figure 578845DEST_PATH_IMAGE009
representing a pipe radius weight coefficient;
Figure 649569DEST_PATH_IMAGE010
representing a medium level transfer function;
Figure 274280DEST_PATH_IMAGE011
representing zonal pipe stress information
Figure 176377DEST_PATH_IMAGE012
The length of the root canal;
Figure 1245DEST_PATH_IMAGE013
representing a pipe length weight coefficient;
Figure 621582DEST_PATH_IMAGE004
、
Figure 727947DEST_PATH_IMAGE009
and
Figure 750130DEST_PATH_IMAGE013
all are set by monitors according to experience;
Figure 480320DEST_PATH_IMAGE014
Figure 791215DEST_PATH_IMAGE015
Figure 452004DEST_PATH_IMAGE016
wherein, the first and the second end of the pipe are connected with each other,
Figure 577960DEST_PATH_IMAGE017
representing the generation time of the partition pipeline stress information on the day;
Figure 728319DEST_PATH_IMAGE018
indicating the time conversion base by the monitorSetting the actual situation;
Figure 526511DEST_PATH_IMAGE019
representing zoned pipe stress information
Figure 741723DEST_PATH_IMAGE020
The working state of the root canal;
Figure 472918DEST_PATH_IMAGE021
indicating a non-operational state;
Figure 997440DEST_PATH_IMAGE022
indicating that it is in an operating state;
Figure 328934DEST_PATH_IMAGE023
the working state conversion base number is represented and set by a monitor according to the actual situation;
Figure 862683DEST_PATH_IMAGE024
representing zonal pipe stress information
Figure 651648DEST_PATH_IMAGE020
The media grade of the root canal;
Figure 894541DEST_PATH_IMAGE025
is shown as
Figure 667325DEST_PATH_IMAGE020
The medium grade of the root pipeline is first grade;
Figure 739186DEST_PATH_IMAGE026
is shown as
Figure 637784DEST_PATH_IMAGE020
The medium grade of the root pipeline is two grades;
Figure 769688DEST_PATH_IMAGE027
is shown as
Figure 560927DEST_PATH_IMAGE020
The 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;
Figure 187211DEST_PATH_IMAGE028
the medium grade conversion base number is represented and set by a monitor according to actual conditions.
Optionally, when the grade selection submodule selects the grade, the following formula is satisfied:
Figure 685189DEST_PATH_IMAGE029
wherein the content of the first and second substances,
Figure 784732DEST_PATH_IMAGE030
representing the grade of the stress information of the pipeline of the corresponding subarea;
Figure 250217DEST_PATH_IMAGE031
a grading function representing grade scores;
Figure 460618DEST_PATH_IMAGE032
Figure 360573DEST_PATH_IMAGE033
Figure 365438DEST_PATH_IMAGE034
wherein the content of the first and second substances,
Figure 380536DEST_PATH_IMAGE035
an adjustment function representing a rating score;
Figure 597891DEST_PATH_IMAGE036
the grading threshold values are set by a monitor according to actual conditions;
Figure 336039DEST_PATH_IMAGE037
represents the minimum value of the grade score;
Figure 980647DEST_PATH_IMAGE038
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:
Figure 922190DEST_PATH_IMAGE039
wherein the content of the first and second substances,
Figure 677656DEST_PATH_IMAGE040
indicating detection time intervals of corresponding partitions, i.e. every other partition
Figure 332628DEST_PATH_IMAGE040
Detecting for one time in seconds;
Figure 866247DEST_PATH_IMAGE041
a basic time interval representing an intermittent detection mode is set by a monitor according to actual conditions;
Figure 809932DEST_PATH_IMAGE042
representing the temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated;
Figure 165827DEST_PATH_IMAGE043
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;
Figure 363721DEST_PATH_IMAGE044
representing the total number of pipelines in the pipeline stress information of the last partition of the same partition;
Figure 350132DEST_PATH_IMAGE045
representing a first time conversion factor;
Figure 515534DEST_PATH_IMAGE046
representing a second time conversion factor;
Figure 612803DEST_PATH_IMAGE045
and
Figure 509213DEST_PATH_IMAGE046
all the monitors are set according to experience or actual conditions;
Figure 400946DEST_PATH_IMAGE047
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.
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 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 partition 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 calculating unit and the detection unit are arranged and matched with a detection time interval algorithm, multi-mode efficient monitoring on the boiler pipeline is achieved, the mode is selected according to actual conditions so that electric energy and cost can be saved, and the detection time interval is matched with the specific conditions of the boiler pipeline so that timely and accurate intermittent monitoring can be achieved;
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 pipeline 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 modification in various other respects, all 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 related art of 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.
As shown in fig. 3, when the present application is used for monitoring boiler pipes 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, i.e., each plant is a module surrounding the BIM cloud rendering. 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 BIM models by taking the factories as units. The monitoring system of the application 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 of global monitoring so as to find abnormality in time and inform a corresponding factory.
Optionally, when the grade score calculating sub-module calculates, the following equation is satisfied:
Figure 601114DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 236495DEST_PATH_IMAGE048
a grade score representing corresponding zonal pipeline stress information;
Figure 923828DEST_PATH_IMAGE049
representing a time interval transfer function;
Figure 252041DEST_PATH_IMAGE050
represents a temporal weight coefficient;
Figure 641303DEST_PATH_IMAGE051
a value selection function representing the working state;
Figure 877112DEST_PATH_IMAGE052
representing zonal pipe stress information
Figure 153373DEST_PATH_IMAGE007
The radius of the root canal;
Figure 199957DEST_PATH_IMAGE053
representing a total number of associated tubes in the zoned tube stress information;
Figure 827248DEST_PATH_IMAGE054
representing a pipe radius weight coefficient;
Figure 70010DEST_PATH_IMAGE055
representing a medium level transfer function;
Figure 450045DEST_PATH_IMAGE056
representing zonal pipe stress information
Figure 916798DEST_PATH_IMAGE012
The length of the root canal;
Figure 31385DEST_PATH_IMAGE057
representing a pipe length weight coefficient;
Figure 562992DEST_PATH_IMAGE050
、
Figure 813844DEST_PATH_IMAGE054
and
Figure 451499DEST_PATH_IMAGE057
all are set by monitors according to experience;
Figure 302649DEST_PATH_IMAGE058
Figure 621635DEST_PATH_IMAGE059
Figure 789311DEST_PATH_IMAGE060
wherein the content of the first and second substances,
Figure 551862DEST_PATH_IMAGE061
representing the generation time of the day of the partition pipeline stress information;
Figure 375462DEST_PATH_IMAGE062
the time conversion base number is represented and is set by a monitor according to the actual situation;
Figure 294876DEST_PATH_IMAGE063
representing zonal pipe stress information
Figure 775448DEST_PATH_IMAGE064
The working state of the root canal;
Figure 958168DEST_PATH_IMAGE065
indicating a non-operational state;
Figure 269063DEST_PATH_IMAGE066
indicating that the device is in a working state;
Figure 195431DEST_PATH_IMAGE067
the working state conversion base number is represented and set by a monitor according to actual conditions;
Figure 88432DEST_PATH_IMAGE068
representing zonal pipe stress information
Figure 707632DEST_PATH_IMAGE064
The media grade of the root canal;
Figure 755091DEST_PATH_IMAGE069
is shown as
Figure 281888DEST_PATH_IMAGE064
The medium grade of the root pipeline is first grade;
Figure 481925DEST_PATH_IMAGE070
is shown as
Figure 288338DEST_PATH_IMAGE064
The medium grade of the root pipeline is two grades;
Figure 573826DEST_PATH_IMAGE071
is shown as
Figure 841996DEST_PATH_IMAGE064
The 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;
Figure 880228DEST_PATH_IMAGE072
the medium grade conversion base number is represented and set by a monitor according to actual conditions.
Optionally, when the grade selection submodule selects the grade, the following formula is satisfied:
Figure 637968DEST_PATH_IMAGE073
wherein the content of the first and second substances,
Figure 410752DEST_PATH_IMAGE074
representing the level of stress information of the corresponding subarea pipeline;
Figure 702188DEST_PATH_IMAGE075
a grading function representing grade scores;
Figure 876817DEST_PATH_IMAGE076
Figure 539879DEST_PATH_IMAGE077
Figure 49227DEST_PATH_IMAGE078
wherein the content of the first and second substances,
Figure 659200DEST_PATH_IMAGE079
an adjustment function representing a rating score;
Figure 422757DEST_PATH_IMAGE080
the grading threshold values are set by a monitor according to actual conditions;
Figure 725562DEST_PATH_IMAGE081
represents the minimum value of the rating score;
Figure 754829DEST_PATH_IMAGE082
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:
Figure 168493DEST_PATH_IMAGE083
wherein, the first and the second end of the pipe are connected with each other,
Figure 52135DEST_PATH_IMAGE084
indicating detection time intervals of corresponding partitions, i.e. every other partition
Figure 503671DEST_PATH_IMAGE084
Detecting for one time in seconds;
Figure 472764DEST_PATH_IMAGE041
represents an interruptionThe basic time interval of the detection mode is set by a monitor according to the actual situation;
Figure 221277DEST_PATH_IMAGE085
representing the temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated;
Figure 975738DEST_PATH_IMAGE086
the standard temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated is represented;
Figure 620345DEST_PATH_IMAGE087
representing the total number of pipelines in the pipeline stress information of the last partition of the same partition;
Figure 811155DEST_PATH_IMAGE088
representing a first time conversion factor;
Figure 566622DEST_PATH_IMAGE089
representing a second time conversion factor;
Figure 408545DEST_PATH_IMAGE088
and
Figure 224054DEST_PATH_IMAGE089
all the monitoring personnel set according to experience or actual conditions;
Figure 698898DEST_PATH_IMAGE090
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 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 second embodiment.
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 value of each index of the pipeline exceeds the use standard interval of each index 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:
Figure 805525DEST_PATH_IMAGE091
wherein, the first and the second end of the pipe are connected with each other,
Figure 49425DEST_PATH_IMAGE092
the value of the assignment is represented by,
Figure 753944DEST_PATH_IMAGE093
representing the real-time computing power value of the corresponding updating unit;
Figure 184926DEST_PATH_IMAGE094
indicating the first in the history update times of the corresponding update unit to the partition
Figure 282195DEST_PATH_IMAGE095
The total number of pipelines contained in the stress information of the corresponding subarea pipeline during secondary updating;
Figure 115021DEST_PATH_IMAGE096
indicating the total number of historical updates of the corresponding update unit to the partition.
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 disclosure is only a preferred embodiment of the invention, and is not intended to limit the scope of the invention, so that all equivalent technical changes made by using the contents of the specification and the drawings are included in the scope of the invention, and further, the elements thereof can be updated as the technology advances.

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 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.
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:
Figure 490091DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 955839DEST_PATH_IMAGE002
a grade score representing corresponding zonal pipeline stress information;
Figure 856799DEST_PATH_IMAGE003
representing a time interval transfer function;
Figure 12974DEST_PATH_IMAGE004
represents a temporal weight coefficient;
Figure 121613DEST_PATH_IMAGE005
representing a value selecting function of the working state;
Figure 58345DEST_PATH_IMAGE006
representing zonal pipe stress information
Figure 762996DEST_PATH_IMAGE007
The radius of the root canal;
Figure 789989DEST_PATH_IMAGE008
representing a total number of associated tubes in the zoned tube stress information;
Figure 289103DEST_PATH_IMAGE009
representing a pipe radius weight coefficient;
Figure 916394DEST_PATH_IMAGE010
representing a medium level transfer function;
Figure 205161DEST_PATH_IMAGE011
representing zonal pipe stress information
Figure 335928DEST_PATH_IMAGE012
The length of the root canal;
Figure 802682DEST_PATH_IMAGE013
representing a pipe length weight coefficient;
Figure 402422DEST_PATH_IMAGE004
、
Figure 714454DEST_PATH_IMAGE009
and
Figure 282751DEST_PATH_IMAGE013
all are set by monitors according to experience;
Figure 858089DEST_PATH_IMAGE014
Figure 256709DEST_PATH_IMAGE015
Figure 592006DEST_PATH_IMAGE016
wherein the content of the first and second substances,
Figure 697366DEST_PATH_IMAGE017
representing the generation time of the day of the partition pipeline stress information;
Figure 505922DEST_PATH_IMAGE018
the time conversion base number is represented and is set by a monitor according to the actual situation;
Figure 313210DEST_PATH_IMAGE019
representing zoned pipe stress information
Figure 498203DEST_PATH_IMAGE020
The working state of the root canal;
Figure 458069DEST_PATH_IMAGE021
indicating a non-operational state;
Figure 188259DEST_PATH_IMAGE022
indicating that it is in an operating state;
Figure 499154DEST_PATH_IMAGE023
the working state conversion base number is represented and set by a monitor according to the actual situation;
Figure 471527DEST_PATH_IMAGE024
representing zonal pipe stress information
Figure 285900DEST_PATH_IMAGE020
The media grade of the root canal;
Figure 701837DEST_PATH_IMAGE025
is shown as
Figure 985182DEST_PATH_IMAGE020
The medium grade of the root pipeline is one grade;
Figure 511979DEST_PATH_IMAGE026
is shown as
Figure 180857DEST_PATH_IMAGE020
The medium grade of the root pipeline is two grades;
Figure 16964DEST_PATH_IMAGE027
is shown as
Figure 36873DEST_PATH_IMAGE020
The 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;
Figure 852513DEST_PATH_IMAGE028
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:
Figure 907057DEST_PATH_IMAGE029
wherein, the first and the second end of the pipe are connected with each other,
Figure 602480DEST_PATH_IMAGE030
representing the level of stress information of the corresponding subarea pipeline;
Figure 149831DEST_PATH_IMAGE031
a grading function representing grade scores;
Figure 956113DEST_PATH_IMAGE032
Figure 209371DEST_PATH_IMAGE033
Figure 75696DEST_PATH_IMAGE034
wherein, the first and the second end of the pipe are connected with each other,
Figure 70196DEST_PATH_IMAGE035
an adjustment function representing a rating score;
Figure 726175DEST_PATH_IMAGE036
the grading threshold values are set by a monitor according to actual conditions;
Figure 489731DEST_PATH_IMAGE037
represents the minimum value of the rating score;
Figure 323695DEST_PATH_IMAGE038
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:
Figure 821804DEST_PATH_IMAGE039
wherein the content of the first and second substances,
Figure 969888DEST_PATH_IMAGE040
indicating detection time intervals of corresponding partitions, i.e. every other partition
Figure 384689DEST_PATH_IMAGE040
Detecting for one time in seconds;
Figure 638822DEST_PATH_IMAGE041
the basic time interval of the intermittent detection mode is set by a monitor according to the actual situation;
Figure 404652DEST_PATH_IMAGE042
representing the temperature of the mth pipeline when the stress information of the pipeline of the last subarea of the same subarea is generated;
Figure 841581DEST_PATH_IMAGE043
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;
Figure 376468DEST_PATH_IMAGE044
representing the total number of pipelines in the pipeline stress information of the last partition of the same partition;
Figure 801502DEST_PATH_IMAGE045
representing a first time conversion factor;
Figure 992312DEST_PATH_IMAGE046
representing a second time conversion factor;
Figure 544516DEST_PATH_IMAGE045
and
Figure 153483DEST_PATH_IMAGE046
all the monitors are set according to experience or actual conditions;
Figure 703413DEST_PATH_IMAGE047
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 partition, and generating partition pipeline stress information if the stress condition of each pipeline in the corresponding partition is abnormal;
s4, carrying out grade evaluation pretreatment on the stress information of each partition 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.
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