CN117436181B - Intelligent evaluation method for heat insulation and heat tracing of pipeline in metallurgical engineering process - Google Patents
Intelligent evaluation method for heat insulation and heat tracing of pipeline in metallurgical engineering process Download PDFInfo
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- 238000004321 preservation Methods 0.000 claims description 11
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- YKTSYUJCYHOUJP-UHFFFAOYSA-N [O--].[Al+3].[Al+3].[O-][Si]([O-])([O-])[O-] Chemical compound [O--].[Al+3].[Al+3].[O-][Si]([O-])([O-])[O-] YKTSYUJCYHOUJP-UHFFFAOYSA-N 0.000 claims description 7
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- 229910000831 Steel Inorganic materials 0.000 description 3
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Abstract
A pipeline heat insulation heat tracing intelligent evaluation method in a metallurgical engineering process comprises the following steps: extracting item types, media and design parameters in the three-dimensional BIM model; adapting the item types in the extracted three-dimensional BIM model to the similar information in the enterprise knowledge base; according to the extracted medium and design parameters, automatically adapting all heat insulation heat tracing types meeting the requirements; aiming at each heat insulation heat tracing type, acquiring the type and the amount of the material required by each type, and evaluating the economical efficiency and the energy efficiency of each type to obtain a recommended report of each type; matching the obtained recommended report of each adiabatic heat tracing type with the material type and the consumption required by the actual project, and judging whether the obtained recommended report is matched; and if the obtained recommended report of each adiabatic heat tracing type is matched, automatically calling the recommended report of the type with the matched type, and carrying out merging statistics on similar materials. The invention can improve the selection efficiency of the pipeline heat-insulating heat-tracing material and save the cost.
Description
Technical Field
The invention relates to the field of metallurgical engineering, in particular to a pipeline heat insulation heat tracing intelligent evaluation method in a metallurgical engineering process.
Background
In metallurgical engineering, the choice of pipeline adiabatic heat tracing materials is an important decision as they play a critical role in the piping system. However, in the prior art, the heat-insulating heat-tracing material of the pipeline is selected by human selection, and the user selects the heat-insulating heat-tracing material by means of own working experience, so that the problems of low selection efficiency, low accuracy and the like exist in the human selection. Therefore, a need exists for a smart assessment method for heat insulation and tracing of pipelines in metallurgical engineering process, which solves the problems in the prior art.
Disclosure of Invention
The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method of overcoming or at least partially solving the above problems.
In order to solve the technical problems, the embodiment of the application discloses the following technical scheme:
a pipeline heat insulation heat tracing intelligent evaluation method in a metallurgical engineering process comprises the following steps:
s100, acquiring a pipeline three-dimensional BIM model in a metallurgical engineering process, and extracting item types, media and design parameters in the three-dimensional BIM model; the item types in the extracted three-dimensional BIM model are adapted to the similar information in the enterprise knowledge base, and the used heat insulation heat tracing types of all similar items which are automatically recommended are obtained;
s200, performing similarity comparison with the heat-insulating heat tracing types used by all the same type of projects automatically recommended according to the extracted medium and design parameters, and automatically adapting all the heat-insulating heat tracing types meeting the requirements;
s300, aiming at each heat-insulating heat tracing type, acquiring the type and the amount of a material required by each type, and carrying out economic and energy efficiency evaluation on each type by combining the unit price and other cost of the material in a knowledge base to obtain a recommended report of each type;
s400, matching the obtained recommended report of each adiabatic heat tracing type with the type and the amount of materials required by an actual project, comparing the obtained matching degree value with a preset threshold value, and judging whether the obtained recommended report is suitable;
s500, if the obtained recommended report of each adiabatic heat tracing type is matched, automatically calling the recommended report of the type confirmed to be matched, and carrying out merging statistics on similar materials.
Further, in S100, a three-dimensional BIM model of the pipeline in the metallurgical engineering process is obtained, and item types, media and design parameters in the three-dimensional BIM model are extracted, and the specific method includes: extracting pipeline numbers from the designed process pipeline BIM one by one, acquiring the converter region, the steam medium type, the pressure grade and the pipeline material of the current pipeline according to the pipeline numbers, and extracting the item type, the medium and the design parameters in the three-dimensional BIM by inquiring the current converter region, the steam medium type, the pressure grade and the pipeline material from an enterprise knowledge base.
Further, in S100, the heat-insulating heat-tracing type used by all the same kind of items automatically recommended is obtained, and the heat-insulating heat-tracing type at least includes: heat preservation, cold preservation, heat tracing, protection or jacket type.
Further, in S200, according to the extracted medium and the design parameter, similarity comparison is performed with the heat insulation heat tracing types used by all the similar items automatically recommended, and all the heat insulation heat tracing types meeting the requirements are automatically adapted, and the specific method includes: based on the enterprise knowledge case base, text similarity calculation is carried out to form a recommended value, and the heat insulation heat tracing type used by all similar items with the recommended value larger than a preset threshold value is recommended.
Further, in S300, when the item type is the main steam pipeline and the adiabatic heat tracing type is insulation, all insulation schemes meeting the process requirements are calculated and recommended by computer enumeration according to insulation materials and insulation thickness of the main steam pipeline under the same pressure level and by combining with a design experience extraction formula.
Further, calculating and recommending coincidence work according to a heat-insulating material and heat-insulating thickness of a main steam pipeline under the same pressure level and combining design experience refining formula through computer enumerationAll the heat preservation schemes of the art comprise the following specific steps: the main heat insulation material of the main steam pipeline is a composite aluminum silicate tube shell, the heat conductivity coefficient formula lambda=0.038+0.00020Tm (W/(m DEG C)), and the volume weight of the heat insulation material is less than or equal to 150kg/m 3 The method comprises the steps of carrying out a first treatment on the surface of the Calculating the thickness of a heat-insulating layer with DN350 specification of a main steam pipeline at 225 ℃ under the design working condition by combining a heat conduction formula in heat transfer science to be 150mm; according to the bundling construction mode of the heat insulation material, the length of the pipeline in the model is read by combining the pipeline specification phi 377 multiplied by 10mm, and the main heat insulation material and the auxiliary material quantity thereof required by the heat insulation of the pipeline are calculated through a built-in empirical formula: the volume of the composite aluminum silicate is 15m 3 4kg of heat-insulating auxiliary galvanized iron wire or 18# steel strip and 155m of galvanized iron sheet 2 49kg of tapping screw.
Further, in S300, the type and the amount of the material required by each type are obtained, and in combination with the unit price and other costs of the material in the knowledge base, each type is evaluated for economy and energy efficiency, and a recommended report of each type is obtained, and the specific method includes: calculating the total cost of the materials according to the type and the amount of the materials required by each type and combining the unit price of the materials in the knowledge base; and then, combining the installation cost and the transportation cost of each type to obtain the total cost of each type, and finally, combining the energy consumption of the current type to obtain the recommended report of each type.
Further, in S400, all the obtained recommended reports of the adiabatic heat tracing type are matched with the material type and the consumption required by the actual project, the content of the recommended list, which is not matched with the material type and the consumption required by the actual project, is obtained, the unmatched content is analyzed, and the recommended list is updated in real time according to the analysis result.
Further, in S500, after the three-dimensional BIM model of the pipeline in the metallurgical engineering process is updated, the report task is triggered to be updated, and the updated task is added into the queue and automatically updated in the background.
The invention also discloses an electronic device, comprising:
a memory for storing instructions executable by the processor;
and the processor is used for executing instructions to realize the intelligent evaluation method for heat insulation and heat tracing of the pipeline in the metallurgical engineering process.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the invention discloses a pipeline heat insulation heat tracing intelligent evaluation method in a metallurgical engineering process, which comprises the following steps: acquiring a pipeline three-dimensional BIM model in a metallurgical engineering process, and extracting item types, media and design parameters in the three-dimensional BIM model; the item types in the extracted three-dimensional BIM model are adapted to the similar information in the enterprise knowledge base, and the used heat insulation heat tracing types of all similar items which are automatically recommended are obtained; according to the extracted medium and design parameters, performing similarity comparison with the heat-insulating heat tracing types used by all the same kind of projects automatically recommended, and automatically adapting all the heat-insulating heat tracing types meeting the requirements; aiming at each heat insulation heat tracing type, acquiring the type and the amount of the required material of each type, and carrying out economic and energy efficiency evaluation on each type by combining the unit price and other cost of the material in a knowledge base to obtain a recommended report of each type;
matching the obtained recommended report of each adiabatic heat tracing type with the material type and the consumption required by an actual project, comparing the obtained matching degree value with a preset threshold value, and judging whether the obtained recommended report is suitable; and if the obtained recommended report of each adiabatic heat tracing type is matched, automatically calling the recommended report of the type with the matched type, and carrying out merging statistics on similar materials.
The method comprises the steps of adapting the item types in the extracted three-dimensional BIM model to the similar information in the enterprise knowledge base to obtain the used heat insulation heat tracing types of all the similar items which are automatically recommended; according to the extracted medium and design parameters, performing similarity comparison with the heat-insulating heat tracing types used by all the same kind of projects automatically recommended, and automatically adapting all the heat-insulating heat tracing types meeting the requirements; the intelligent evaluation of heat tracing of pipeline heat insulation in metallurgical engineering process can greatly improve the working efficiency.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a method for intelligently evaluating heat tracing of pipeline insulation in a metallurgical engineering process according to embodiment 1 of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to solve the problems in the prior art, the embodiment of the invention provides a pipeline heat insulation heat tracing intelligent evaluation method in a metallurgical engineering process.
Example 1
The embodiment discloses a pipeline heat insulation heat tracing intelligent evaluation method in a metallurgical engineering process, as shown in fig. 1, comprising the following steps:
s100, acquiring a pipeline three-dimensional BIM model in a metallurgical engineering process, and extracting item types, media and design parameters in the three-dimensional BIM model; the item types in the extracted three-dimensional BIM model are adapted to the similar information in the enterprise knowledge base, and the used heat insulation heat tracing types of all similar items which are automatically recommended are obtained;
specifically, in the present embodiment S100, a three-dimensional BIM model of a pipeline in a metallurgical engineering process is obtained, and item types, media and design parameters in the three-dimensional BIM model are extracted, and the specific method includes: extracting pipeline numbers from the designed process pipeline BIM one by one, acquiring the converter region, the steam medium type, the pressure grade and the pipeline material of the current pipeline according to the pipeline numbers, and extracting the item type, the medium and the design parameters in the three-dimensional BIM by inquiring the current converter region, the steam medium type, the pressure grade and the pipeline material from an enterprise knowledge base. The heat insulation heat tracing type used by all the similar items automatically recommended is obtained, and at least comprises the following heat insulation heat tracing types: heat preservation, cold preservation, heat tracing, protection or jacket type.
S200, performing similarity comparison with the heat-insulating heat tracing types used by all the same type of projects automatically recommended according to the extracted medium and design parameters, and automatically adapting all the heat-insulating heat tracing types meeting the requirements;
in S200 of the embodiment, according to the extracted medium and the design parameter, similarity comparison is performed with the heat insulation heat tracing types used by all the similar items automatically recommended, and all the heat insulation heat tracing types meeting the requirements are automatically adapted, and the specific method includes: based on the enterprise knowledge case base, text similarity calculation is carried out to form a recommended value, and the heat insulation heat tracing type used by all similar items with the recommended value larger than a preset threshold value is recommended.
For example, extracting pipeline numbers, such as ZL-MS-01-350-QC4-H, from a designed process pipeline BIM model one by one, wherein ZL represents a converter region, MS represents medium type is medium pressure steam, a grade library QC represents pressure grade is PN63 (6.3 MPa), the pipeline material is carbon steel, and judging the pipeline as a main steam pipeline by inquiring medium pressure steam pipelines under the converter item and with PN63 pressure grade from an enterprise knowledge base;
s300, aiming at each heat-insulating heat tracing type, acquiring the type and the amount of a material required by each type, and carrying out economic and energy efficiency evaluation on each type by combining the unit price and other cost of the material in a knowledge base to obtain a recommended report of each type;
specifically, in S300, when the item type is the main steam pipeline and the adiabatic heat tracing type is insulation, all insulation schemes meeting the process requirements are calculated and recommended by computer enumeration according to insulation materials and insulation thickness of the main steam pipeline under the same pressure level and by combining with a design experience extraction formula. For example, the most commonly used primary insulation for primary steam lines is composite aluminum silicate tube shells, having a thermal conductivity of about 0.038+0.00020tm (W/(m..degree.c)), with a bulk weight of the insulation of 150kg/m or less 3 Calculating the thickness of a heat-insulating layer with DN350 specification of a main steam pipeline at 225 ℃ under the design working condition to be 150mm by combining a heat conduction formula in heat transfer chemistry; according to which heat is preservedThe material bundling construction mode is combined with the pipeline specification phi 377 multiplied by 10mm, the length of the pipeline in the model is read, and the main heat insulation material and the auxiliary material quantity thereof required by the heat insulation of the pipeline are calculated through a built-in empirical formula: the volume of the composite aluminum silicate is 15m 3 4kg of heat-insulating auxiliary galvanized iron wire or 18# steel strip and 155m of galvanized iron sheet 2 49kg of tapping screw; it can be understood that the same method as S300 is adopted for other heat-insulating, heat-tracing, protecting or jacket types, and all other heat-insulating heat-tracing schemes meeting the process requirements can be calculated and recommended by combining with the design experience refining formula.
In S300 of the present embodiment, the type and the amount of the material required by each type are obtained, and the economic and energy efficiency evaluation is performed on each type by combining the unit price of the material and other costs in the knowledge base, so as to obtain a recommended report of each type, and the specific method includes: calculating the total cost of the materials according to the type and the amount of the materials required by each type and combining the unit price of the materials in the knowledge base; and then, combining the installation cost and the transportation cost of each type to obtain the total cost of each type, and finally, combining the energy consumption of the current type to obtain the recommended report of each type.
S400, matching the obtained recommended report of each adiabatic heat tracing type with the type and the amount of materials required by an actual project, comparing the obtained matching degree value with a preset threshold value, and judging whether the obtained recommended report is suitable;
in S400 of this embodiment, all the obtained recommended reports of the adiabatic heat tracing type are matched with the material types and the amounts required by the actual items, the content of the recommended table, which is not matched with the material types and the amounts required by the actual items, is obtained, the unmatched content is analyzed, and the recommended table is updated in real time according to the analysis result. For example, the areas where the projects are located need to consider corrosion prevention along the coast, fireproof requirements of high-risk station rooms nearby and the like, so that part of heat insulation materials with higher economy cannot meet the process requirements, such as asbestos cannot be used in places with fire hazards, and the aluminum plate has better corrosion prevention effect than the iron plate. For this case, special requirements of thermal insulation and protection materials can be added, and re-matching can be returned until the confirmation is accurate.
S500, if the obtained recommended report of each adiabatic heat tracing type is matched, automatically calling the recommended report of the type confirmed to be matched, and carrying out merging statistics on similar materials. In S500 of this embodiment, after the three-dimensional BIM model of the pipeline in the metallurgical engineering process is updated, report task update is triggered, and the update task is added to the queue and automatically updated in the background. For example, a heat insulation material report template is called to generate a heat insulation material total report, which specifically comprises the following steps: the volume of the composite aluminum silicate is 70m 3 180kg of heat-insulating auxiliary galvanized iron wire or 18# steel strip and 1200m of galvanized iron sheet 2 30kg of tapping screw.
The embodiment discloses a pipeline heat insulation heat tracing intelligent evaluation method in a metallurgical engineering process, which comprises the following steps: acquiring a pipeline three-dimensional BIM model in a metallurgical engineering process, and extracting item types, media and design parameters in the three-dimensional BIM model; the item types in the extracted three-dimensional BIM model are adapted to the similar information in the enterprise knowledge base, and the used heat insulation heat tracing types of all similar items which are automatically recommended are obtained; according to the extracted medium and design parameters, performing similarity comparison with the heat-insulating heat tracing types used by all the same kind of projects automatically recommended, and automatically adapting all the heat-insulating heat tracing types meeting the requirements; aiming at each heat insulation heat tracing type, acquiring the type and the amount of the required material of each type, and carrying out economic and energy efficiency evaluation on each type by combining the unit price and other cost of the material in a knowledge base to obtain a recommended report of each type;
matching the obtained recommended report of each adiabatic heat tracing type with the material type and the consumption required by an actual project, comparing the obtained matching degree value with a preset threshold value, and judging whether the obtained recommended report is suitable; and if the obtained recommended report of each adiabatic heat tracing type is matched, automatically calling the recommended report of the type with the matched type, and carrying out merging statistics on similar materials.
The method comprises the steps of adapting the item types in the extracted three-dimensional BIM model to similar information in an enterprise knowledge base to obtain heat insulation heat tracing types used by all similar items automatically recommended; according to the extracted medium and design parameters, performing similarity comparison with the heat-insulating heat tracing types used by all the same kind of projects automatically recommended, and automatically adapting all the heat-insulating heat tracing types meeting the requirements; the intelligent evaluation of heat tracing of pipeline heat insulation in metallurgical engineering process can greatly improve the working efficiency.
It should be understood that the specific order or hierarchy of steps in the processes disclosed are examples of exemplary approaches. Based on design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not meant to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate preferred embodiment of this invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. The processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. These software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
The foregoing description includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, as used in the specification or claims, the term "comprising" is intended to be inclusive in a manner similar to the term "comprising," as interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean "non-exclusive or".
Claims (9)
1. A pipeline heat insulation heat tracing intelligent evaluation method in a metallurgical engineering process is characterized by comprising the following steps of:
s100, acquiring a pipeline three-dimensional BIM model in a metallurgical engineering process, and extracting item types, media and design parameters in the three-dimensional BIM model; the item types in the extracted three-dimensional BIM model are adapted to the similar information in the enterprise knowledge base, and the used heat insulation heat tracing types of all similar items which are automatically recommended are obtained;
s200, performing similarity comparison with the heat-insulating heat tracing types used by all the same type of projects automatically recommended according to the extracted medium and design parameters, and automatically adapting all the heat-insulating heat tracing types meeting the requirements;
s300, aiming at each heat-insulating heat tracing type, acquiring the type and the amount of a material required by each type, and carrying out economic and energy efficiency evaluation on each type by combining the unit price and other cost of the material in a knowledge base to obtain a recommended report of each type;
s400, matching the obtained recommended report of each adiabatic heat tracing type with the type and the amount of materials required by an actual project, comparing the obtained matching degree value with a preset threshold value, and judging whether the obtained recommended report is suitable;
s500, if the obtained recommended report of each adiabatic heat tracing type is matched, automatically calling the recommended report of the type which is confirmed to be matched, and carrying out merging statistics on similar materials;
in S100, a pipeline three-dimensional BIM model in a metallurgical engineering process is obtained, and the item type, medium and design parameters in the three-dimensional BIM model are extracted, wherein the specific method comprises the following steps: extracting pipeline numbers from the designed process pipeline BIM one by one, acquiring the converter region, the steam medium type, the pressure grade and the pipeline material of the current pipeline according to the pipeline numbers, and extracting the item type, the medium and the design parameters in the three-dimensional BIM by inquiring the current converter region, the steam medium type, the pressure grade and the pipeline material from an enterprise knowledge base.
2. The intelligent assessment method for heat tracing of pipeline in metallurgical engineering process according to claim 1, wherein in S100, the heat tracing type used by all the same kind of projects automatically recommended is obtained, and the heat tracing type at least comprises: heat preservation, cold preservation, heat tracing, protection or jacket type.
3. The intelligent evaluation method for heat insulation and tracing of pipeline in metallurgical engineering process according to claim 1, wherein in S200, according to the extracted medium and design parameters, similarity comparison is performed with heat insulation and tracing types used in all the same kind of projects automatically recommended, and all heat insulation and tracing types meeting the requirements are automatically adapted, and the specific method comprises: based on the enterprise knowledge case base, text similarity calculation is carried out to form a recommended value, and the heat insulation heat tracing type used by all similar items with the recommended value larger than a preset threshold value is recommended.
4. The intelligent evaluation method for heat insulation and heat tracing of pipelines in metallurgical engineering process according to claim 1, wherein in S300, when the item type is main steam pipeline and the heat insulation and heat tracing type is heat preservation, the heat preservation materials and heat preservation thickness of the main steam pipeline under the same pressure level are enumerated by a computer, and all heat preservation schemes meeting the process requirements are recommended by combining calculation of a design experience refining formula.
5. The intelligent evaluation method for heat insulation and heat tracing of pipeline in metallurgical engineering process according to claim 4, wherein the calculation of heat insulation thickness and design experience extraction formula and the recommendation of all heat insulation schemes meeting process requirements are performed according to the heat insulation materials and heat insulation thickness of main steam pipeline under the same pressure level by computer enumeration, and the method specifically comprises the following steps: when the main heat insulation material of the main steam pipeline is a composite aluminum silicate tube shell, the heat conductivity coefficient formula lambda=0.038+0.00020tm (W/(m.°c)); the volume weight of the heat insulation material is less than or equal to 150kg/m 3 When in use; calculating the thickness of a heat-insulating layer with DN350 specification of a main steam pipeline at 225 ℃ under the design working condition by combining a heat conduction formula in heat transfer science to be 150mm; according to the bundling construction mode of the heat insulation material, the length of the pipeline in the model is read by combining the pipeline specification phi 377 multiplied by 10mm, and the main heat insulation material and the auxiliary material quantity thereof required by the heat insulation of the pipeline are calculated through a built-in empirical formula: the volume of the composite aluminum silicate is 15m 3 Heat-insulating auxiliary galvanized iron wire or 18# steelWith 4kg, galvanized iron sheet 155m 2 49kg of tapping screw.
6. The intelligent evaluation method for heat insulation and heat tracing of pipelines in metallurgical engineering process according to claim 1, wherein in S300, the type and the amount of materials required by each type are obtained, and the economic and energy efficiency evaluation is carried out on each type by combining the unit price and other costs of the materials in a knowledge base, so as to obtain the recommended report of each type, and the specific method comprises the following steps: calculating the total cost of the materials according to the type and the amount of the materials required by each type and combining the unit price of the materials in the knowledge base; and then, combining the installation cost and the transportation cost of each type to obtain the total cost of each type, and finally, combining the energy consumption of the current type to obtain the recommended report of each type.
7. The intelligent evaluation method for heat insulation and tracing of pipelines in metallurgical engineering process according to claim 1, wherein in S400, the obtained recommended report of all heat insulation and tracing types is matched with the type and the amount of materials required by the actual project, the unmatched content of the recommended table with the type and the amount of materials required by the actual project is obtained, the unmatched content is analyzed, and the recommended table is updated in real time according to the analysis result.
8. The intelligent evaluation method for heat insulation and heat tracing of pipeline in metallurgical engineering process according to claim 1, wherein in S500, after the three-dimensional BIM model of the pipeline in metallurgical engineering process is updated, report task update is triggered, and the update task is added into a queue and automatically updated in the background.
9. An electronic device, comprising:
a memory for storing instructions executable by the processor;
a processor for executing instructions to implement a pipeline adiabatic heat tracing intelligent assessment method in a metallurgical engineering process as in one of claims 1-8.
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