CN111241647B - Nuclear power plant cable length estimation method and device - Google Patents

Nuclear power plant cable length estimation method and device Download PDF

Info

Publication number
CN111241647B
CN111241647B CN202010034733.2A CN202010034733A CN111241647B CN 111241647 B CN111241647 B CN 111241647B CN 202010034733 A CN202010034733 A CN 202010034733A CN 111241647 B CN111241647 B CN 111241647B
Authority
CN
China
Prior art keywords
plant
power
power distribution
relative
power receiving
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
Application number
CN202010034733.2A
Other languages
Chinese (zh)
Other versions
CN111241647A (en
Inventor
齐索妮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Nuclear Power Engineering Co Ltd
Original Assignee
China Nuclear Power Engineering Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Nuclear Power Engineering Co Ltd filed Critical China Nuclear Power Engineering Co Ltd
Priority to CN202010034733.2A priority Critical patent/CN111241647B/en
Publication of CN111241647A publication Critical patent/CN111241647A/en
Application granted granted Critical
Publication of CN111241647B publication Critical patent/CN111241647B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Monitoring And Testing Of Nuclear Reactors (AREA)

Abstract

The disclosure provides a method and a device for estimating the cable length of a nuclear power plant, wherein the method comprises the following steps: establishing relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building; based on the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, establishing a multiple linear regression model for estimating the cable length required from the power receiving plant room to the power distribution plant room; and estimating the cable length required from the power receiving plant to the power distribution plant based on the multiple linear regression model. According to the method, the relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building are established, the multiple linear regression prediction model is established based on the relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building, and then the length of the cable required from the power receiving factory building to the power distribution factory building is predicted through the multiple linear regression model, so that the prediction mode is more accurate and efficient, engineering personnel can rapidly predict the length of the cable of the nuclear power plant at the beginning of design, and the problems that the manual measurement prediction work efficiency is low, the input information is large in three-dimensional modeling prediction, errors are easy to occur and the like are effectively avoided.

Description

Nuclear power plant cable length estimation method and device
Technical Field
The disclosure relates to the technical field of cable laying, in particular to a nuclear power plant cable length estimating method and a nuclear power plant cable length estimating device.
Background
In a nuclear power plant, loads are scattered, and a distribution center only exists in a fixed factory building environment, so that the cable laying length is much longer than civil and industrial projects, cables are often selected to be thicker to meet the requirement of load starting voltage drop, and the cable length determines the final result of cable type selection to a certain extent. However, in the early stage of nuclear power station construction, a designer cannot predict the cable length, the prediction of the cable length is completely based on experience, or the cable length is manually measured from a drawing, so that scientific guidance is lacked, time and labor are wasted, and meanwhile, the specification of the cable is easily mismatched with the actual requirement.
If the cable length can be reasonably estimated in the early stage of the project, the cable model selection method is very meaningful for guiding the cable model selection. At present, the related technologies are less in the aspect of cable length estimation, in some related technologies, a ship cable length estimation method is used for measuring the cable length according to the abscissa, and the method is based on manual measurement and manual calculation, and is time-consuming, labor-consuming and low in accuracy; in other related technologies, the cable length is calculated in three-dimensional software, a great amount of information input and position definition work are needed in the three-dimensional system, the workload is large, and the accuracy of the cable length estimation has high dependence on the accuracy of positioning. It can be seen that both methods are time consuming and laborious in practical use.
Disclosure of Invention
The invention provides a method and a device for estimating the cable length of a nuclear power plant, which can be used for estimating the cable length of a nuclear power project and improving the efficiency and accuracy of cable model selection.
According to an aspect of the disclosed embodiments, there is provided a method for estimating a cable length of a nuclear power plant, the method including:
establishing relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building;
based on the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, establishing a multiple linear regression model for estimating the cable length required from the power receiving plant room to the power distribution plant room;
and estimating the cable length required from the power receiving plant to the power distribution plant based on the multiple linear regression model.
In one embodiment, before the building of the relative three-dimensional coordinates from the power plant to the power distribution plant, the method further includes:
selecting a power distribution equipment positioning reference point and a power receiving equipment positioning reference point;
the relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building are established specifically as follows:
establishing relative three-dimensional coordinates of the powered device locating reference point to the power distribution device locating reference point.
In one embodiment, the selecting a power distribution device positioning reference point and a power receiving device positioning reference point specifically includes:
partitioning a nuclear power plant, wherein the nuclear power plant comprises a power distribution plant and a power receiving plant;
and selecting the central points of all areas as power distribution equipment positioning reference points and power receiving equipment positioning reference points respectively according to the plant areas of the nuclear power plant.
In one embodiment, based on the relative three-dimensional coordinates from the power receiving plant to the power distribution plant, a multiple linear regression model for estimating the cable length required from the power receiving plant to the power distribution plant is established, specifically:
based on the relative three-dimensional coordinates from the power plant room to the power distribution factory building, an initial multiple linear regression model is established:
l KX-SL =b 0 +b 1 x+b 2 y+b 3 z+ε,ε~N(0,δ 2 )
wherein l KX-SL For the estimated cable length from the power receiving plant room to the power distribution plant room, x, y and z are the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, b 0 、b 1 、b 2 And b 3 The parameters are undetermined parameters which are irrelevant to x, y and z respectively, and epsilon is a model error term;
taking epsilon as 0 and calculating b 0 、b 1 、b 2 And b 3 Obtaining a final multiple linear regression model:
Figure BDA0002365612850000021
wherein,,
Figure BDA0002365612850000022
is based on->
Figure BDA0002365612850000023
And->
Figure BDA0002365612850000024
Estimated cable length from power plant house to power distribution factory house obtained by parameter numerical calculation of (a)>
Figure BDA0002365612850000025
And->
Figure BDA0002365612850000026
Respectively calculated b 0 、b 1 、b 2 And b 3 Is a parameter value of (a).
In one embodiment, the calculating b 0 、b 1 、b 2 And b 3 The parameter values of (a) are specifically:
mining cabling length sample data of the power receiving plant room to a power distribution plant in a nuclear power plant project engineering database, wherein the sample data is (x) 11 ,y 11 ,z 11 ,l 1 ),…,(x n1 ,y n1 ,z n1 ,l n ) Wherein x is 11 …x n1 For each sample in the sample data, the relative three-dimensional coordinates x-value, y 11 …y n1 For each sample in the sample data, the relative three-dimensional coordinate y-value, z 11 …z n1 Z-value, l, for the relative three-dimensional coordinates of each sample in the sample data 1 …l n A cable length for each sample in the sample data;
estimating b based on the sample data by using a least square method 0 、b 1 、b 2 And b 3 Wherein the least square method calculation formula is as follows:
(XYZ)'XYZB=(XYZ)'L
wherein,,
Figure BDA0002365612850000031
then b 0 、b 1 、b 2 And b 3 The parameter values of (2) are:
Figure BDA0002365612850000032
in one embodiment, the cable length required from the power receiving factory to the power distribution factory is estimated based on the multiple linear regression model, specifically:
acquiring specific numerical values of x, y and z in relative three-dimensional coordinates of the power plant room and the power distribution plant room;
substituting the specific numerical values of the relative three-dimensional coordinates x, y and z of the power receiving room and the power distribution factory building into a final multiple linear regression model to obtain the estimated value of the cable length required from the power receiving room to the power distribution factory building.
In one embodiment, after establishing the multiple linear regression model for estimating the cable length required from the power receiving plant to the power distribution plant based on the relative three-dimensional coordinates of the power receiving plant to the power distribution plant and before estimating the cable length required from the power receiving plant to the power distribution plant based on the multiple linear regression model, the method further comprises:
embedding the final multiple linear regression model into an excel form tool;
the length of the cable required from the power receiving factory building to the power distribution factory building is estimated based on the multiple linear regression model, and the method specifically comprises the following steps:
acquiring specific numerical values of x, y and z in relative three-dimensional coordinates of the power plant room and the power distribution plant room;
inputting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving plant room and the power distribution plant room in an excel table tool;
and directly outputting the cable length predicted value required by the power receiving factory building to the power distribution factory building through the excel table tool.
According to another aspect of the embodiments of the present disclosure, there is provided a nuclear power plant cable length estimating apparatus, including:
the three-dimensional coordinate module is arranged for establishing relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building;
the model building module is used for building a multiple linear regression model for estimating the cable length required from the power receiving plant to the power distribution plant based on the relative three-dimensional coordinates of the power receiving plant to the power distribution plant;
and the estimating module is used for estimating the cable length required from the power receiving factory building to the power distribution factory building based on the multiple linear regression model.
In one embodiment, the apparatus further comprises:
a selection module configured to select a power distribution device positioning reference point and a power receiving device positioning reference point;
the three-dimensional coordinate module is specifically set as follows:
establishing relative three-dimensional coordinates of the powered device locating reference point to the power distribution device locating reference point.
In one embodiment, the selecting module includes:
a partitioning unit configured to partition a nuclear power plant, wherein the nuclear power plant includes a power distribution plant and a power receiving plant;
the selecting unit is arranged for selecting the center point of each area as a power distribution equipment positioning reference point and a power receiving equipment positioning reference point according to the plant area of the nuclear power plant.
In one embodiment, the model building module includes:
the establishing unit is used for establishing an initial multiple linear regression model based on the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room:
l KX-SL =b 0 +b 1 x+b 2 y+b 3 z+ε,ε~N(0,δ 2 )
wherein l KX-SL For the estimated cable length from the power receiving plant room to the power distribution plant room, x, y and z are the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, b 0 、b 1 、b 2 And b 3 The parameters are undetermined parameters which are irrelevant to x, y and z respectively, and epsilon is a model error term;
a calculation unit configured to take ε as 0 and calculate b 0 、b 1 、b 2 And b 3 Obtaining a final multiple linear regression model:
Figure BDA0002365612850000051
wherein,,
Figure BDA0002365612850000052
is based on->
Figure BDA0002365612850000053
And->
Figure BDA0002365612850000054
Estimated cable length from power plant house to power distribution factory house obtained by parameter numerical calculation of (a)>
Figure BDA0002365612850000055
And->
Figure BDA0002365612850000056
Respectively calculated b 0 、b 1 、b 2 And b 3 Is a parameter value of (a).
In one embodiment, the computing unit is specifically configured to:
mining cabling length sample data of the power receiving plant room to a power distribution plant in a nuclear power plant project engineering database, wherein the sample data is (x) 11 ,y 11 ,z 11 ,l 1 ),…,(x n1 ,y n1 ,z n1 ,l n ) Wherein x is 11 …x n1 For each sample in the sample data, the relative three-dimensional coordinates x-value, y 11 …y n1 For each sample in the sample data, the relative three-dimensional coordinate y-value, z 11 …z n1 Z-value, l, for the relative three-dimensional coordinates of each sample in the sample data 1 …l n A cable length for each sample in the sample data;
estimating b based on the sample data by using a least square method 0 、b 1 、b 2 And b 3 Wherein the least square method calculation formula is as follows:
(XYZ)'XYZB=(XYZ)'L
wherein,,
Figure BDA0002365612850000057
then b 0 、b 1 、b 2 And b 3 The parameter values of (2) are:
Figure BDA0002365612850000058
in one embodiment, the pre-estimation module includes:
the acquisition unit is used for acquiring specific values of x, y and z in relative three-dimensional coordinates of the power receiving plant room and the power distribution plant room;
and the substituting unit is used for substituting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving room and the power distribution factory building into a final multiple linear regression model to obtain a predicted value of the cable length required from the power receiving room to the power distribution factory building.
In one embodiment, the apparatus further comprises:
an embedding module configured to embed the final multiple linear regression model into an excel form tool;
the estimating module is specifically configured to:
acquiring specific numerical values of x, y and z in relative three-dimensional coordinates of the power plant room and the power distribution plant room;
inputting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving plant room and the power distribution plant room in an excel table tool;
and directly outputting the cable length predicted value required by the power receiving factory building to the power distribution factory building through the excel table tool.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
according to the nuclear power plant cable length estimation method, the relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building are established, the multiple linear regression estimation model is established based on the relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building, and then the cable length required from the power receiving factory building to the power distribution factory building is estimated through the multiple linear regression model.
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the disclosure. The objectives and other advantages of the disclosure will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosed embodiments and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain, without limitation, the disclosed embodiments.
Fig. 1 is a schematic flow chart of a method for estimating a cable length of a nuclear power plant according to an embodiment of the disclosure;
FIG. 2 is a schematic diagram of a plant partition and equipment positioning datum in an embodiment of the disclosure;
FIG. 3 is a schematic diagram of relative three-dimensional coordinates of a power plant to a power distribution plant in an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a cable length estimating device for a nuclear power plant according to an embodiment of the disclosure.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the following detailed description of the specific embodiments of the present disclosure will be given with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order; moreover, embodiments of the present disclosure and features of embodiments may be arbitrarily combined with each other without conflict.
Wherein the terminology used in the embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
In a large engineering project with fixed distribution centers, scattered equipment positions and tension construction pressure in a nuclear power plant and the like, in order to reasonably estimate the length of a laid cable at an early stage of the project, the nuclear power plant cable length estimating method provided by the embodiment of the invention establishes a multiple linear regression estimating model based on relative three-dimensional coordinates among the equipment, so that engineering personnel can estimate the cable degree of the nuclear power plant quickly at the beginning of design, and the problems of high efficiency of manual measurement estimating work or large workload of three-dimensional modeling estimating are effectively avoided.
Referring to fig. 1, fig. 1 is a flowchart of a method for estimating a cable length of a nuclear power plant according to an embodiment of the disclosure, and the method includes steps S101-S103.
In step S101, the relative three-dimensional coordinates of the power receiving plant to the power distribution plant are established.
It can be understood that the power receiving room is a factory building where a power receiving facility is located, the power distribution factory building is a factory building where a power distribution facility is located, and in the early stage of nuclear power plant design, the cable length from the power receiving equipment to the power distribution equipment needs to be estimated. In a nuclear power plant, a power distribution center is usually in a fixed plant environment, and a plurality of power distribution plants are generally in the nuclear power plant so as to facilitate cabling of power receiving plants at different positions and different distances.
In this embodiment, the relative three-dimensional coordinates of the power receiving factory building and the power distribution factory building are established to determine the relative positions thereof, and a multiple linear regression model is established based on the positions between the power receiving factory building and the power distribution factory building, and in a specific embodiment, in order to determine the relative positions between the power receiving equipment and the power distribution equipment, please combine fig. 2 and fig. 3, fig. 2 is a schematic diagram of the partition of the nuclear power plant factory building and the positioning reference point of the equipment, fig. 3 is a schematic diagram of the relative three-dimensional coordinates of the power receiving factory building to the power distribution factory building, and before establishing the relative three-dimensional coordinates of the power receiving factory building to the power distribution factory building (i.e. step S101), the method further includes the following steps:
selecting a power distribution equipment positioning reference point and a power receiving equipment positioning reference point;
as shown in fig. 2, the selecting a power distribution device positioning reference point and a power receiving device positioning reference point specifically includes:
partitioning a nuclear power plant, wherein the nuclear power plant comprises a power distribution plant and a power receiving plant;
and selecting the central points of all areas as power distribution equipment positioning reference points and power receiving equipment positioning reference points respectively according to the plant areas of the nuclear power plant.
In this embodiment, the nuclear power plant is partitioned, for example, the plant area number may be DA, LL, LR, AR, FR, SL, R, SR, WX, K, NX, DU, DB, KY, KP. The distribution center is positioned in an LR workshop, an SR workshop and an SL workshop (part of the distribution center is positioned in an NX workshop), and the positioning reference points of distribution equipment are LR0, SR0 and SL0 respectively; the powered devices are distributed in other workshops, and the locating reference points of the powered devices are DA0, LL0, … … and N0 respectively. And selecting the equipment positioning datum points, and taking the center points of the respective areas as the equipment positioning datum points according to the partition map of the nuclear power plant factory building.
The relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building are established specifically as follows:
establishing relative three-dimensional coordinates of the powered device locating reference point to the power distribution device locating reference point.
In practical applications, the three-dimensional coordinates of the power receiving device reference point to the power distribution device reference point are obtained according to the three-dimensional coordinates of (x, y, z), as shown in fig. 3, by taking the relative three-dimensional coordinates (x, y, z) of KXn-SLm as an example, where x, y are the relative positions (35415, 34890) of KX0 between SL0 in the plan view of fig. 2, and z is the relative layer height between the KX power receiving plant and the SL power distribution plant.
In step S102, a multiple linear regression model for estimating the cable length required from the power plant to the power distribution plant is established based on the relative three-dimensional coordinates of the power plant to the power distribution plant.
In this embodiment, taking a multiple linear regression model for establishing a KX-SL plant as an example, the multiple linear regression model for estimating the cable length required from the power receiving plant to the power distribution plant is established based on the relative three-dimensional coordinates from the power receiving plant to the power distribution plant, specifically includes:
based on the relative three-dimensional coordinates from the power plant room to the power distribution factory building, an initial multiple linear regression model is established:
l KX-SL =b 0 +b 1 x+b 2 y+b 3 z+ε,ε~N(0,δ 2 )
wherein l KX-SL For the estimated cable length from the power receiving plant room to the power distribution plant room, x, y and z are the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, b 0 、b 1 、b 2 And b 3 The parameters are undetermined parameters which are irrelevant to x, y and z respectively, epsilon is a model error term, wherein the model error term epsilon meets normal distribution;
taking epsilon as 0 and calculating b 0 、b 1 、b 2 And b 3 Obtaining a final multiple linear regression model:
Figure BDA0002365612850000091
wherein the method comprises the steps of
Figure BDA0002365612850000092
Is based on->
Figure BDA0002365612850000093
And->
Figure BDA0002365612850000094
Estimated cable length from power plant house to power distribution factory house obtained by parameter numerical calculation of (a)>
Figure BDA0002365612850000095
And->
Figure BDA0002365612850000096
Respectively calculated b 0 、b 1 、b 2 And b 3 Is a parameter value of (a).
It should be noted that, the method provided in this embodiment takes the estimation of the cable laying length of the KX-SL as an example, and is applicable to other plants, and is not limited to estimating the cable length of the KX-SL plant.
In a specific embodiment, the length sample of the cabling from the SL factory building to the KX factory building is mined from the prior project mass engineering data to obtain a more accurate and more widely applicable multiple linear regression model, and the calculation b is that 0 、b 1 、b 2 And b 3 Obtaining a final multiple linear regression model, specifically:
mining cabling length sample data of the power receiving plant room to a power distribution plant in a nuclear power plant project engineering database, wherein the sample data is (x) 11 ,y 11 ,z 11 ,l 1 ),…,(x n1 ,y n1 ,z n1 ,l n ) Wherein x is 11 …x n1 For each sample in the sample data, the relative three-dimensional coordinates x-value, y 11 …y n1 For each sample in the sample data, the relative three-dimensional coordinate y-value, z 11 …z n1 Z-value, l, for the relative three-dimensional coordinates of each sample in the sample data 1 …l n A cable length for each sample in the sample data;
estimating b based on the sample data by using a least square method 0 、b 1 、b 2 、b 3 Obtaining a final multiple linear regression model, wherein the least square method calculation formula is as follows:
(XYZ)'XYZB=(XYZ)'L
wherein,,
Figure BDA0002365612850000101
said b 0 、b 1 、b 2 、b 3 The maximum likelihood estimates of the parameter values of (a) are:
Figure BDA0002365612850000102
for a better understanding of the construction of multiple linear regression models of embodiments of the present disclosure, specific data is given below, calculate b 0 、b 1 、b 2 And b 3 And a final multiple linear regression model is obtained that can be used to predict cable lengths for KX-SL district plants.
1) The laying length and three-dimensional coordinates (x, y, z; l) the data samples may be: (90.95, 39.95,0; 147.6); (58.9, 61.95,0; 8.5); … …; (22.8, 0,4.5; 47.25);
according to (XYZ) 'XYZB= (XYZ)' L
Wherein,,
Figure BDA0002365612850000111
2) Solving equations
Figure BDA0002365612850000112
Obtain->
Figure BDA0002365612850000113
Namely b calculated based on the previous KX-SL factory building cable laying length sample 0 、b 1 、b 2 、b 3 Specific values of (2) are 14.18, 0.65, 1.90 and 2.74, respectively.
It will be appreciated that b is calculated as 0 、b 1 、b 2 、b 3 After a specific number of (b) 0 、b 1 、b 2 、b 3 Substituting the parameter values of (2) into the initial multiple linear regression model to obtain the final multiple linear regression model,
Figure BDA0002365612850000114
in some preferred embodiments, in order to meet the scientificity of the establishment of the multiple linear regression equation and meet the changing requirements of future nuclear power plant construction, a historical database of the cable laying length can be established, and the historical database is updated at intervals, so that the multiple linear regression equation for estimating the laying cable length can meet the estimation of the cable laying length in the nuclear power plant construction in different periods, and the accuracy of the estimation result is further guaranteed.
In step S103, the cable length required from the power receiving plant to the power distribution plant is estimated based on the multiple linear regression model.
In a specific embodiment, the cable length required from the power plant to the power distribution plant is estimated based on the multiple linear regression model (i.e., step S103), specifically the following steps:
acquiring specific numerical values of x, y and z in relative three-dimensional coordinates of the power plant room and the power distribution plant room;
substituting the specific numerical values of the relative three-dimensional coordinates x, y and z of the power receiving room and the power distribution factory building into a final multiple linear regression model to obtain the estimated value of the cable length required from the power receiving room to the power distribution factory building.
In practical applications, the method can be used for predicting the cable laying length by only knowing the position of the equipment, for example, only knowing the relative coordinate position between the equipment (i.e. between the power receiving equipment datum point and the power distribution equipment datum point) such as (10,8,9)
Figure BDA0002365612850000115
Obtaining estimated cable length->
Figure BDA0002365612850000121
The cable length estimating method provided by the embodiment can determine the three-dimensional coordinates between the power receiving equipment and the power distribution equipment when only knowing the room number of the equipment factory building, can directly predict the cable laying length by utilizing the multiple linear regression model by substituting the three-dimensional coordinates between the power receiving equipment and the power distribution equipment into the multiple linear regression model, has more efficient and accurate cable laying length estimating, can achieve the effect of efficient and accurate selection even if the engineering progress is tension in the initial stage of the design and the construction of the nuclear power plant,
for some important motor loads, because the arrangement is scattered, if the cable is selected according to experience, a cable with a larger level or two levels is often selected, and the problems that the cable is not connected up due to too thick end during installation and the like are likely to occur, an adapter box is required to be added or the cable is required to be replaced.
It can be appreciated that the cable estimation scheme provided by the embodiment has universal applicability, and is not only suitable for each project of the nuclear power plant, but also suitable for the estimation of the cable length in other large-scale industrial projects.
In a specific embodiment, in order to further improve the efficiency and the rapidity of the estimated length of the cabling, after establishing a multiple linear regression model for estimating the cable length required from the power receiving plant to the power distribution plant based on the relative three-dimensional coordinates of the power receiving plant to the power distribution plant, and before estimating the cable length required from the power receiving plant to the power distribution plant based on the multiple linear regression model, the method further comprises the following steps:
embedding the final multiple linear regression model into an excel form tool;
the length of the cable required from the power receiving factory building to the power distribution factory building is estimated based on the multiple linear regression model, and the method specifically comprises the following steps:
acquiring specific numerical values of x, y and z in relative position coordinates of the power plant room and the power distribution plant room;
inputting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving plant room and the power distribution plant room in an excel table tool;
and directly outputting the cable length predicted value required by the power receiving factory building to the power distribution factory building through the excel table tool.
Specifically, by embedding the multiple linear regression model into an excel form tool, when the length of a laid cable is required to be selected, the position of a starting and ending factory building of equipment is only required to be determined, the relative three-dimensional coordinate information from a power plant room to a power distribution factory building is input into the excel form, the automatic type selection of the length of the laid cable can be realized, and the cable type selection meeting the voltage drop requirement can be realized according to the multiple linear regression model of the result of the automatic type selection.
Based on the same technical concept, the embodiment of the disclosure correspondingly provides a device for estimating the cable length of a nuclear power plant, please refer to fig. 4, fig. 4 is a schematic structural diagram of the device for estimating the cable length of a nuclear power plant, which includes a three-dimensional coordinate module 41, a model building module 42 and an estimating module 43, wherein,
the three-dimensional coordinate module 41 is configured to establish a relative three-dimensional coordinate from the power receiving factory building to the power distribution factory building;
the model building module 42 is configured to build a multiple linear regression model for estimating a cable length required from the power plant to the power distribution plant based on the relative three-dimensional coordinates of the power plant room to the power distribution plant;
the estimating module 43 is configured to estimate a cable length required from the power plant to the power distribution plant based on the multiple linear regression model.
In a specific embodiment, the apparatus further comprises:
a selection module configured to select a power distribution device positioning reference point and a power receiving device positioning reference point;
the three-dimensional coordinate module 41 is specifically configured to:
establishing relative three-dimensional coordinates of the powered device locating reference point to the power distribution device locating reference point.
In one embodiment, the selecting module includes:
a partitioning unit configured to partition a nuclear power plant, wherein the nuclear power plant includes a power distribution plant and a power receiving plant;
the selecting unit is arranged for selecting the center point of each area as a power distribution equipment positioning reference point and a power receiving equipment positioning reference point according to the plant area of the nuclear power plant.
In one embodiment, the model creation module 42 includes:
the establishing unit is used for establishing an initial multiple linear regression model based on the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room:
l KX-SL =b 0 +b 1 x+b 2 y+b 3 z+ε,ε~N(0,δ 2 )
wherein l KX-SL For the estimated cable length from the power receiving plant room to the power distribution plant room, x, y and z are the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, b 0 、b 1 、b 2 And b 3 The parameters are undetermined parameters which are irrelevant to x, y and z respectively, and epsilon is a model error term;
a calculation unit configured to take ε as 0 and calculate b 0 、b 1 、b 2 And b 3 Obtaining a final multiple linear regression model:
Figure BDA0002365612850000141
wherein,,
Figure BDA0002365612850000142
is based on->
Figure BDA0002365612850000143
And->
Figure BDA0002365612850000144
Estimated cable length from power plant house to power distribution factory house obtained by parameter numerical calculation of (a)>
Figure BDA0002365612850000145
And->
Figure BDA0002365612850000146
Respectively calculated b 0 、b 1 、b 2 And b 3 Is a parameter value of (a).
In one embodiment, the computing unit is specifically configured to:
mining cabling length sample data of the power receiving plant room to a power distribution plant in a nuclear power plant project engineering database, wherein the sample data is (x) 11 ,y 11 ,z 11 ,l 1 ),…,(x n1 ,y n1 ,z n1 ,l n ) Wherein x is 11 …x n1 For each sample in the sample data, the relative three-dimensional coordinates x-value, y 11 …y n1 For each sample in the sample data, the relative three-dimensional coordinate y-value, z 11 …z n1 Z-value, l, for the relative three-dimensional coordinates of each sample in the sample data 1 …l n A cable length for each sample in the sample data;
estimating b based on the sample data by using a least square method 0 、b 1 、b 2 And b 3 Wherein the least square method calculation formula is as follows:
(XYZ)'XYZB=(XYZ)'L
wherein,,
Figure BDA0002365612850000147
then b 0 、b 1 、b 2 And b 3 The parameter values of (2) are:
Figure BDA0002365612850000148
in one embodiment, the estimation module 43 includes:
the acquisition unit is used for acquiring specific values of x, y and z in relative three-dimensional coordinates of the power receiving plant room and the power distribution plant room;
and the substituting unit is used for substituting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving room and the power distribution factory building into a final multiple linear regression model to obtain a predicted value of the cable length required from the power receiving room to the power distribution factory building.
In one embodiment, the apparatus further comprises:
an embedding module configured to embed the final multiple linear regression model into an excel form tool;
the estimation module 43 is specifically configured to:
acquiring specific numerical values of x, y and z in relative three-dimensional coordinates of the power plant room and the power distribution plant room;
inputting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving plant room and the power distribution plant room in an excel table tool;
and directly outputting the cable length predicted value required by the power receiving factory building to the power distribution factory building through the excel table tool.
In summary, according to the method and the device for estimating the cable length of the nuclear power plant provided by the embodiments of the present disclosure, the relative three-dimensional coordinates from the power receiving plant to the power distribution plant are established, the multiple linear regression estimation model is established based on the relative three-dimensional coordinates from the power receiving plant to the power distribution plant, and then the cable length required from the power receiving plant to the power distribution plant is estimated through the multiple linear regression model. Further, according to the embodiment of the disclosure, the cabling length sample data from the power receiving plant room to the power distribution factory building is mined in the historical engineering database, unknown parameters in the multiple linear regression model are calculated based on the big data samples, a normal equation set about the big data samples is obtained, the estimated result of the normal equation set more accords with the actual condition of cable laying of the nuclear power plant, and the estimated efficiency is higher.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present disclosure, and not for limiting the same; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present disclosure.

Claims (10)

1. The nuclear power plant cable length estimation method is characterized by comprising the following steps of:
establishing relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building;
based on the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, establishing a multiple linear regression model for estimating the cable length required from the power receiving plant room to the power distribution plant room;
estimating the cable length required from the power receiving plant to the power distribution plant based on the multiple linear regression model;
based on the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, a multiple linear regression model for estimating the cable length required from the power receiving plant room to the power distribution plant room is established, and specifically comprises the following steps:
based on the relative three-dimensional coordinates from the power plant room to the power distribution factory building, an initial multiple linear regression model is established:
l KX-SL =b 0 +b 1 x+b 2 y+b 3 z+ε,ε~N(0,δ 2 )
wherein l KX-SL For the estimated cable length from the power receiving plant room to the power distribution plant room, x, y and z are the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, b 0 、b 1 、b 2 And b 3 Respectively, undetermined parameters independent of x, y and z, epsilon is a model error term, wherein epsilon obeys normal distribution of parameters of 0 and delta and is marked as epsilon-N (0, delta) 2 );
Taking epsilon as 0 and calculating b 0 、b 1 、b 2 And b 3 Obtaining a final multiple linear regression model:
Figure FDA0004246806860000011
wherein,,
Figure FDA0004246806860000016
is based on->
Figure FDA0004246806860000012
And->
Figure FDA0004246806860000013
Estimated cable length from power plant house to power distribution factory house obtained by parameter numerical calculation of (a)>
Figure FDA0004246806860000014
And->
Figure FDA0004246806860000015
Respectively calculated b 0 、b 1 、b 2 And b 3 Parameter values of (2);
the calculation b 0 、b 1 、b 2 And b 3 The parameter values of (a) are specifically:
mining cabling length sample data of the power receiving plant room to a power distribution plant in a nuclear power plant project engineering database, wherein the sample data is (x) 11 ,y 11 ,z 11 ,l 1 ),…,(x n1 ,y n1 ,z n1 ,l n ) Wherein x is 11 …x n1 For each sample in the sample data, the relative three-dimensional coordinates x-value, y 11 …y n1 For each sample in the sample data, the relative three-dimensional coordinate y-value, z 11 …z n1 Z-value, l, for the relative three-dimensional coordinates of each sample in the sample data 1 …l n For each of the sample dataCable length of individual samples;
estimating b based on the sample data by using a least square method 0 、b 1 、b 2 And b 3 Wherein the least square method calculation formula is as follows:
(XYZ)'XYZB=(XYZ)'L
wherein,,
Figure FDA0004246806860000021
then b 0 、b 1 、b 2 And b 3 The parameter values of (2) are:
Figure FDA0004246806860000022
2. the method of claim 1, further comprising, prior to establishing the relative three-dimensional coordinates of the power plant to the power distribution plant:
selecting a power distribution equipment positioning reference point and a power receiving equipment positioning reference point;
the relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building are established specifically as follows:
establishing relative three-dimensional coordinates of the powered device locating reference point to the power distribution device locating reference point.
3. The method according to claim 2, wherein the selecting a power distribution device positioning reference point and a power receiving device positioning reference point is specifically:
partitioning a nuclear power plant, wherein the nuclear power plant comprises a power distribution plant and a power receiving plant;
and selecting the central points of all areas as power distribution equipment positioning reference points and power receiving equipment positioning reference points respectively according to the plant areas of the nuclear power plant.
4. The method according to claim 1, wherein the estimating the cable length required from the power plant to the power distribution plant based on the multiple linear regression model is specifically:
acquiring specific numerical values of x, y and z in relative three-dimensional coordinates of the power plant room and the power distribution plant room;
substituting the specific numerical values of the relative three-dimensional coordinates x, y and z of the power receiving room and the power distribution factory building into a final multiple linear regression model to obtain the estimated value of the cable length required from the power receiving room to the power distribution factory building.
5. The method of claim 1, further comprising, after establishing a multiple linear regression model for estimating a cable length required from the power plant to the power distribution plant based on the relative three-dimensional coordinates of the power plant to the power distribution plant and before estimating the cable length required from the power plant to the power distribution plant based on the multiple linear regression model:
embedding the final multiple linear regression model into an excel form tool;
the length of the cable required from the power receiving factory building to the power distribution factory building is estimated based on the multiple linear regression model, and the method specifically comprises the following steps:
acquiring specific numerical values of x, y and z in relative three-dimensional coordinates of the power plant room and the power distribution plant room;
inputting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving plant room and the power distribution plant room in an excel table tool;
and directly outputting the cable length predicted value required by the power receiving factory building to the power distribution factory building through the excel table tool.
6. A nuclear power plant cable length estimation device, comprising:
the three-dimensional coordinate module is arranged for establishing relative three-dimensional coordinates from the power receiving factory building to the power distribution factory building;
the model building module is used for building a multiple linear regression model for estimating the cable length required from the power receiving plant to the power distribution plant based on the relative three-dimensional coordinates of the power receiving plant to the power distribution plant;
the estimating module is used for estimating the cable length required from the power receiving factory building to the power distribution factory building based on the multiple linear regression model;
wherein, the model establishment module includes:
the establishing unit is used for establishing an initial multiple linear regression model based on the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room:
l KX-SL =b 0 +b 1 x+b 2 y+b 3 z+ε,ε~N(0,δ 2 )
wherein l KX-SL For the estimated cable length from the power receiving plant room to the power distribution plant room, x, y and z are the relative three-dimensional coordinates from the power receiving plant room to the power distribution plant room, b 0 、b 1 、b 2 And b 3 E is a model error term, and epsilon obeys normal distribution of parameters 0 and delta and is marked as epsilon-N (0, delta) 2 );
A calculation unit configured to take e as 0 and calculate b 0 、b 1 、b 2 And b 3 Obtaining a final multiple linear regression model:
Figure FDA0004246806860000041
wherein,,
Figure FDA0004246806860000042
is based on->
Figure FDA0004246806860000043
And->
Figure FDA0004246806860000044
Estimated cable length from power plant house to power distribution factory house obtained by parameter numerical calculation of (a)>
Figure FDA0004246806860000045
And->
Figure FDA0004246806860000046
Respectively calculated b 0 、b 1 、b 2 And b 3 Parameter values of (2);
the calculating unit is specifically configured to:
mining cabling length sample data of the power receiving plant room to a power distribution plant in a nuclear power plant project engineering database, wherein the sample data is (x) 11 ,y 11 ,z 11 ,l 1 ),...,(x n1 ,y n1 ,z n1 ,l n ) Wherein x is 11 ...x n1 For each sample in the sample data, the relative three-dimensional coordinates x-value, y 11 ...yn 1 For each sample in the sample data, the relative three-dimensional coordinate y-value, z 11 ...z n1 Z-value, l, for the relative three-dimensional coordinates of each sample in the sample data 1 ...l n A cable length for each sample in the sample data;
estimating b based on the sample data by using a least square method 0 、b 1 、b 2 And b 3 Wherein the least square method calculation formula is as follows:
(XYZ)′XYZB=(XYZ)′L
wherein,,
Figure FDA0004246806860000047
then b 0 、b 1 、b 2 And b 3 The parameter values of (2) are:
Figure FDA0004246806860000048
7. the apparatus as recited in claim 6, further comprising:
a selection module configured to select a power distribution device positioning reference point and a power receiving device positioning reference point;
the three-dimensional coordinate module is specifically set as follows:
establishing relative three-dimensional coordinates of the powered device locating reference point to the power distribution device locating reference point.
8. The apparatus of claim 7, wherein the means for selecting comprises:
a partitioning unit configured to partition a nuclear power plant, wherein the nuclear power plant includes a power distribution plant and a power receiving plant;
the selecting unit is arranged for selecting the center point of each area as a power distribution equipment positioning reference point and a power receiving equipment positioning reference point according to the plant area of the nuclear power plant.
9. The apparatus of claim 6, wherein the predictive module comprises:
the acquisition unit is used for acquiring specific values of x, y and z in relative three-dimensional coordinates of the power receiving plant room and the power distribution plant room;
and the substituting unit is used for substituting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving room and the power distribution factory building into a final multiple linear regression model to obtain a predicted value of the cable length required from the power receiving room to the power distribution factory building.
10. The apparatus as recited in claim 6, further comprising:
an embedding module configured to embed the final multiple linear regression model into an excel form tool;
the estimating module is specifically configured to:
acquiring specific numerical values of x, y and z in relative three-dimensional coordinates of the power plant room and the power distribution plant room;
inputting specific numerical values of relative three-dimensional coordinates x, y and z of the power receiving plant room and the power distribution plant room in an excel table tool;
and directly outputting the cable length predicted value required by the power receiving factory building to the power distribution factory building through the excel table tool.
CN202010034733.2A 2020-01-14 2020-01-14 Nuclear power plant cable length estimation method and device Active CN111241647B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010034733.2A CN111241647B (en) 2020-01-14 2020-01-14 Nuclear power plant cable length estimation method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010034733.2A CN111241647B (en) 2020-01-14 2020-01-14 Nuclear power plant cable length estimation method and device

Publications (2)

Publication Number Publication Date
CN111241647A CN111241647A (en) 2020-06-05
CN111241647B true CN111241647B (en) 2023-07-14

Family

ID=70872350

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010034733.2A Active CN111241647B (en) 2020-01-14 2020-01-14 Nuclear power plant cable length estimation method and device

Country Status (1)

Country Link
CN (1) CN111241647B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113884039B (en) * 2021-09-17 2023-08-08 沪东中华造船(集团)有限公司 Multi-element analysis-based container ship cable length estimation method

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102750440A (en) * 2012-05-30 2012-10-24 中国核电工程有限公司 Computing method of control cable diameter of solenoid valve in nuclear power plant
CN102789447A (en) * 2012-07-09 2012-11-21 贵州电网公司输电运行检修分公司 Method for analyzing ice and climate relationship on basis of grey MLR (Multiple Linear Regression)
CN103235846A (en) * 2013-04-10 2013-08-07 北京理工大学 Real-time assembly simulation method and device of flexible cable
TW201507402A (en) * 2013-08-14 2015-02-16 Realtek Semiconductor Corp Method for estimating cable length in ethernet system and receiver thereof
CN105574235A (en) * 2015-12-10 2016-05-11 国网山东省电力公司经济技术研究院 Statistical checking system and method of transformer substation installation cable and ground connection engineering quantity
CN106096079A (en) * 2016-05-26 2016-11-09 中国能源建设集团广东省电力设计研究院有限公司 Improve method for designing and the system of cable kilometer precision
CN106709995A (en) * 2016-12-23 2017-05-24 广东核电合营有限公司 Three-dimensional measurement and modeling method for closed pipeline of nuclear power plant
CN107633146A (en) * 2017-09-28 2018-01-26 国家电网公司 A kind of method that crustal stress result of calculation is changed in high precision between different scale model
CN107798192A (en) * 2017-10-27 2018-03-13 北京空间技术研制试验中心 A kind of design method of cable model
CN110321601A (en) * 2019-06-14 2019-10-11 山东大学 A kind of overhead transmission line dynamic current-carrying capability advanced prediction method and system
CN110675392A (en) * 2019-09-29 2020-01-10 山东科技大学 Rut fine three-dimensional feature extraction method based on pavement continuous laser point cloud

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8712000B2 (en) * 2007-12-13 2014-04-29 Global Nuclear Fuel—Americas, LLC Tranverse in-core probe monitoring and calibration device for nuclear power plants, and method thereof
EP2694986B1 (en) * 2011-04-08 2017-06-07 Telefonaktiebolaget LM Ericsson (publ) Transmission line parameter determination

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102750440A (en) * 2012-05-30 2012-10-24 中国核电工程有限公司 Computing method of control cable diameter of solenoid valve in nuclear power plant
CN102789447A (en) * 2012-07-09 2012-11-21 贵州电网公司输电运行检修分公司 Method for analyzing ice and climate relationship on basis of grey MLR (Multiple Linear Regression)
CN103235846A (en) * 2013-04-10 2013-08-07 北京理工大学 Real-time assembly simulation method and device of flexible cable
TW201507402A (en) * 2013-08-14 2015-02-16 Realtek Semiconductor Corp Method for estimating cable length in ethernet system and receiver thereof
CN105574235A (en) * 2015-12-10 2016-05-11 国网山东省电力公司经济技术研究院 Statistical checking system and method of transformer substation installation cable and ground connection engineering quantity
CN106096079A (en) * 2016-05-26 2016-11-09 中国能源建设集团广东省电力设计研究院有限公司 Improve method for designing and the system of cable kilometer precision
CN106709995A (en) * 2016-12-23 2017-05-24 广东核电合营有限公司 Three-dimensional measurement and modeling method for closed pipeline of nuclear power plant
CN107633146A (en) * 2017-09-28 2018-01-26 国家电网公司 A kind of method that crustal stress result of calculation is changed in high precision between different scale model
CN107798192A (en) * 2017-10-27 2018-03-13 北京空间技术研制试验中心 A kind of design method of cable model
CN110321601A (en) * 2019-06-14 2019-10-11 山东大学 A kind of overhead transmission line dynamic current-carrying capability advanced prediction method and system
CN110675392A (en) * 2019-09-29 2020-01-10 山东科技大学 Rut fine three-dimensional feature extraction method based on pavement continuous laser point cloud

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"核电厂水平多层电缆托盘火灾数值模拟分析验证";祝赫;《核科学与工程》;20180615;全文 *
"核电厂电缆转接箱优化设计及其工程经济性分析";徐良;《中国核电》;20170315;全文 *

Also Published As

Publication number Publication date
CN111241647A (en) 2020-06-05

Similar Documents

Publication Publication Date Title
CN110108328B (en) Method for acquiring water leakage amount of leakage area of water supply pipe network
CN106096079B (en) Design method and system for improving cable laying length precision
CN116030210B (en) Carbon emission data statistics method, electronic device and storage medium
US20150268072A1 (en) Sensor assignment apparatus and sensor diagnostic apparatus
CN111241647B (en) Nuclear power plant cable length estimation method and device
CN107301281B (en) Full-automatic arrangement system and method for crane beams among three-dimensional factory building equipment
CN115640860B (en) Electromechanical equipment remote maintenance method and system for industrial cloud service
CN105824987A (en) Wind field characteristic statistical distributing model building method based on genetic algorithm
CN103778306B (en) A kind of sensors location method based on EI and successive Method
CN111553041B (en) Gas pipe network parameter calibration method, system, terminal and storage medium
CN114218629A (en) Urban underground pipe gallery system and big data analysis method
CN112484695A (en) Building indoor space clear height analysis method and device based on BIM model
CN111931316A (en) Modular assembly type machine room equipment and pipeline construction method
JPH10115096A (en) Plant construction supporting system
CN113837451B (en) Method, device, equipment and storage medium for constructing digital twin body of oil and gas pipeline
CN110864625A (en) Method and system for installing, positioning and detecting construction site equipment
US10061873B2 (en) System for integrated design of electric plant of an industrial site
CN114970055A (en) Pipeline arrangement method and system based on BIM model
CN117413273A (en) Method, apparatus and computer storage medium for monitoring an enclosure environment
CN112857171A (en) Method for measuring spatial displacement of building based on coordinate point spatial position relation
CN117595385B (en) Method and system for power distribution network observability evaluation and key measurement position mining
TWI506582B (en) The Cost Estimation System and Method of Energy Saving Service
CN116989802B (en) IDC machine room inspection plan configuration strategy method based on GIS and BIM models
CN108829966B (en) Enhanced grid determination method for power line patrol system
Zhao et al. Research on Construction Technology of Prefabricated Structure Based on BIM Technology

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