Electromechanical pipeline intelligent arrangement management system and method based on automation

Abstract

The invention discloses an electromechanical pipeline intelligent arrangement management system and method based on automation, and relates to the technical field of electromechanical pipeline intelligent arrangement. A target monitoring area is framed, and collection and analysis are performed in the process of obtaining an optimal electromechanical pipeline comprehensive arrangement diagram through BIM software drawing; performing intelligent identification on the target monitoring areas with the arrangement setting data change association influence according to the pipeline arrangement setting data change condition presented in each target monitoring area, extracting and constructing an influence structural formula, and generating an influence topology network among all the target monitoring areas; the method comprises the following steps of: calculating an important index of an arrangement influence caused in a target area for each target monitoring area to measure a spatial range influenced by the arrangement of the target monitoring area, so that an optimal electromechanical pipeline comprehensive arrangement diagram is drawn and generated, and meanwhile, an inspection sequence corresponding to all the target monitoring areas is generated; and necessary data support is provided for the operation and maintenance terminal to formulate a scientific pipeline maintenance plan.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent arrangement of electromechanical pipelines, and in particular to an automated electromechanical pipeline intelligent arrangement management system and method. Background Art

[0002] In the construction of electromechanical engineering, the design drawings of many projects often cannot meet the needs of construction due to many reasons, and in-depth design is required before construction. The various pipelines of the electromechanical system are complicated and the pipelines are densely intertwined. If a collision occurs during construction, the system will be dismantled and reworked, and even the design plan will be revised, which will not only waste materials and delay the construction period, but also increase project costs.

[0003] The pipeline integration technology based on BIM technology can integrate professional models such as architecture, structure, and electromechanical, and can be easily deepened. Then, according to the requirements of the architectural profession and the clear height requirements, the integrated model can be imported into the relevant software to conduct collision checks between electromechanical and architectural and structural professions, and the pipelines can be adjusted and the building structure can be avoided according to the collision report results. The collision detection of electromechanical majors is to comprehensively arrange and adjust the equipment and pipelines based on the modeling of the "electromechanical pipeline layout plan", so as to find problems before the construction of the project, and solve the problems before construction through in-depth design and design optimization.

[0004] In the process of drawing the optimal electromechanical pipeline layout through BIM technology, there will inevitably be a process of continuous adjustment of the electromechanical pipeline layout because it must meet the principles of maximizing space utilization and safety as well as the actual limitations of space conditions. Summary of the invention

[0005] The object of the present invention is to provide an automated electromechanical pipeline intelligent arrangement management system and method to solve the problems raised in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solution: an automated electromechanical pipeline intelligent layout management method, the method comprising: Step S1: storing the process data of the BIM software drawing and generating the optimal electromechanical pipeline comprehensive layout diagram for the target area according to the three-dimensional spatial model data of the target area and the relevant collision test result data; Step S2: Mark all pipeline maintenance and inspection areas from the optimal electromechanical pipeline comprehensive layout diagram, extract the electromechanical pipeline distribution area corresponding to each pipeline maintenance and inspection area, and set each electromechanical pipeline distribution area as the target monitoring area; Step S3: sorting out the changes in the pipeline arrangement setting data presented in each target monitoring area in the process of drawing the optimal electromechanical pipeline comprehensive layout diagram using BIM software; Step S4: sorting out the distribution of correlation changes in pipeline arrangement and setting data presented between any two target monitoring areas, and evaluating the arrangement and setting correlation index of each target monitoring area to other target monitoring areas; Step S5: sorting out the distribution of the arrangement setting correlation index presented between all target monitoring areas, constructing an influence structure, and generating an influence topological network between all target monitoring areas by collecting and connecting the influence structure constructed within the scope of all target monitoring areas; evaluating the important index of the arrangement influence caused by each target monitoring area in the target area; Step S6: After generating the optimal electromechanical pipeline comprehensive layout diagram for the target area, generate the inspection sequence corresponding to the target area with reference to the important index affecting the layout, and feed it back to the pipeline operation and maintenance terminal of the target area.

[0007] Preferably, step S3 includes: Step S3-1: Collect the pipeline layout setting data set presented in each target monitoring area in chronological order, the pipeline layout setting data set includes the number of electromechanical pipeline segments covered in the corresponding target monitoring area, and the layout attribute data corresponding to each electromechanical pipeline segment; the layout attribute data includes the horizontal height, vertical height, average spacing between adjacent pipeline segments, pipeline avoidance principles followed during layout, and setting parameters of corresponding supports and hangers; Step S3-2: Collect and generate pipeline layout setting data sequence L={Q 1 , Q 2 ,...,Q n}, where Q 1 , Q 2 ,...,Q n They represent the first, second, ..., nth pipeline arrangement setting data sets presented in chronological order in the corresponding target monitoring area, where each adjacent two pipeline arrangement setting data sets Q i , Q i+1 Constitute a change setting node {Q i ,Q i+1}; Step S3-3: extract the timestamp corresponding to each pipeline arrangement setting data set collected for each target monitoring area, and obtain the corresponding change setting node {Q i ,Q i+1}Change transition interval [t i ,t i+1 ], where t i ,t i+1 The i-th and i+1-th pipeline arrangement data sets Q are collected for each target monitoring area respectively. i , Qi+1 The timestamp corresponding to the time.

[0008] Preferably, step S2 comprises: Step S4-1: extract the pipeline arrangement setting data sequences L(A) and L(B) corresponding to any two target monitoring areas A and B respectively; set the initial value of the arrangement setting influence coefficient of the target monitoring area A on the target monitoring area B to 0; Step S4-2: If the timestamp T corresponding to the time when the j-th pipeline arrangement setting data set is collected for the target monitoring area B is captured j , and the jth change transition interval F in the pipeline arrangement setting data sequence L(A) satisfies T j ∈F, the influence coefficient of the target monitoring area A on the arrangement of the target monitoring area B is cumulatively added by 1, and the timestamp T is extracted at the same time. j The interval difference between the minimum timestamp in the jth change transition interval F; wherein, whenever the above “T j The data phenomenon of "∈F" means that a change in the pipeline arrangement setting data set occurs in the target monitoring area A, which also causes a change in the pipeline arrangement setting data set in the target monitoring area B; Step S4-3: Calculate the arrangement setting correlation index β of the target monitoring area A to the target monitoring area B = (η / M)×(1 / T e ); wherein η represents the final cumulative influence coefficient value of the arrangement setting of the target monitoring area A on the target monitoring area B; M represents the total number of change setting nodes included in the pipeline arrangement setting data sequence L(A); T e It represents the average value of all the interval differences obtained in the process of finally accumulating the influence coefficient value η of the arrangement setting of the target monitoring area A on the target monitoring area B; Among them, if the ratio of η / M is larger, it means that the phenomenon that the target monitoring area A causes the corresponding pipeline arrangement setting data set in the target monitoring area B to change more frequently. e The smaller the value of , it means that the time taken to respond to the change of the pipeline arrangement setting dataset in the target monitoring area A and the change of the pipeline arrangement setting dataset in the target monitoring area B is shorter.

[0009] Preferably, step S5 comprises: Step S5-1: Identify the position distribution of each target monitoring area in the three-dimensional spatial model of the target area; if the arrangement setting correlation index of the target monitoring area A to the target monitoring area B is greater than the threshold, in the three-dimensional spatial model of the target area, connect the target monitoring areas A and B to construct an influence structure: A→B, and at the same time, use the shortest straight-line distance between the target monitoring areas A and B in the three-dimensional spatial model of the target area as the influence index corresponding to the influence structure: A→B; Step S5-2: generating an influence topology network among all target monitoring areas by collecting and connecting the influence structural formulas constructed within all target monitoring areas; Step S5-3: If n different target monitoring areas U1, U2, U3, ..., U n , based on the influence structure: U1→U2→U3...→U n , it is determined that U2 and U1 are directly connected by affecting the structural formula, U2, U3, ..., U n The indirect connection with U1 is achieved through the influence structure; Step S5-4: sequentially accumulate the total number K of other target monitoring areas that are directly and indirectly connected to each target monitoring area through the corresponding influence structure, and simultaneously obtain the sum E of the influence indexes corresponding to all corresponding influence structures, and evaluate and obtain the arrangement influence importance index α=E / K caused by each target monitoring area in the target area; Among them, the larger the E / K is, the larger the spatial range affected by the layout of the target monitoring area is, which means that the importance of the target monitoring area in the overall electromechanical pipeline layout system is higher.

[0010] Preferably, step S6 comprises: Step S6-1: After the optimal electromechanical pipeline comprehensive layout diagram is generated for a target area, all target monitoring areas existing in the target area are sorted from large to small based on the corresponding layout influence importance indexes to generate an inspection sequence for the corresponding target area; Step S6-2: Feedback the inspection sequence to the pipeline operation and maintenance terminal, prompting the pipeline operation and maintenance terminal to set a corresponding operation and maintenance inspection frequency for each target monitoring area according to the arrangement order of each target monitoring area in the inspection sequence.

[0011] In order to better implement the above method, an automated electromechanical pipeline intelligent arrangement management system is also proposed, which is characterized by: the system includes a data acquisition storage management module, a target monitoring area identification module, a pipeline arrangement setting data combing module, an arrangement setting correlation index calculation module, an arrangement influence important index calculation module, and a pipeline operation and maintenance management module; The data acquisition storage management module is used to store the process data of the BIM software in drawing and generating the optimal electromechanical pipeline comprehensive layout diagram for the target area based on the three-dimensional spatial model data of the target area and the relevant collision test result data; The target monitoring area identification module is used to mark all pipeline maintenance and repair areas from the optimal electromechanical pipeline comprehensive layout diagram, extract the electromechanical pipeline distribution area corresponding to each pipeline maintenance and repair area, and set each electromechanical pipeline distribution area as the target monitoring area; The pipeline arrangement setting data combing module is used to comb the changes in pipeline arrangement setting data presented in each target monitoring area during the process of drawing the optimal electromechanical pipeline comprehensive layout diagram in the BIM software; The arrangement setting correlation index calculation module is used to sort out the correlation change distribution of pipeline arrangement setting data presented between any two target monitoring areas, and evaluate the arrangement setting correlation index of each target monitoring area to other target monitoring areas; The module for calculating the important index of arrangement impact is used to sort out the distribution of the arrangement setting correlation index presented between all target monitoring areas, construct the impact structure, and generate the impact topological network between all target monitoring areas by collecting and connecting the impact structure constructed within all target monitoring areas; evaluate the important index of arrangement impact caused by each target monitoring area in the target area; The pipeline operation and maintenance management module is used to generate the optimal electromechanical pipeline comprehensive layout diagram for the target area, refer to the important indexes affecting the layout to generate the inspection sequence for the corresponding target area, and feed it back to the pipeline operation and maintenance terminal in the target area.

[0012] Preferably, the arrangement and setting correlation index calculation module includes a pipeline arrangement and setting data combing unit and an arrangement and setting correlation index calculation unit; A pipeline arrangement setting data combing unit is used to comb the associated change distribution of pipeline arrangement setting data presented between any two target monitoring areas; The arrangement setting correlation index calculation unit is used to evaluate the arrangement setting correlation index of each target monitoring area to other target monitoring areas.

[0013] Preferably, the arrangement impact importance index calculation module includes an impact structure construction management unit and an arrangement impact importance index evaluation unit; The influence structure construction management unit is used to sort out the distribution of the arrangement setting correlation index presented between all target monitoring areas, construct the influence structure, and generate the influence topology network between all target monitoring areas by collecting and connecting the influence structures constructed within all target monitoring areas; The arrangement influence important index evaluation unit is used to evaluate the arrangement influence important index caused by each target monitoring area in the target area.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the present application frames the target monitoring area through the pipeline maintenance and repair area marked in the optimal electromechanical pipeline comprehensive layout diagram, and then collects and analyzes the changes in the pipeline layout setting data presented in each target monitoring area during the process of drawing the optimal electromechanical pipeline comprehensive layout diagram using BIM software, and intelligently identifies the target monitoring area where there is an associated impact of the layout setting data change, and then extracts and constructs the influence structure formula to generate an influence topological network among all target monitoring areas; by calculating the important index of the layout impact caused in the target area for each target monitoring area, it is used to measure the spatial range affected by the layout of the target monitoring area, so as to achieve the generation of the inspection sequence corresponding to all target monitoring areas while drawing and generating the optimal electromechanical pipeline comprehensive layout diagram, and provide the necessary data support for the operation and maintenance terminal to formulate a scientific pipeline maintenance plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of a flow chart of an automated electromechanical pipeline intelligent arrangement management method of the present invention; Figure 2 It is a structural schematic diagram of an automated electromechanical pipeline intelligent arrangement and management system of the present invention. DETAILED DESCRIPTION

[0016] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0017] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution, a method for intelligent arrangement and management of electromechanical pipelines based on automation, the method comprising: Step S1: storing the process data of the BIM software drawing and generating the optimal electromechanical pipeline comprehensive layout diagram for the target area according to the three-dimensional spatial model data of the target area and the relevant collision test result data; Step S2: Mark all pipeline maintenance and inspection areas from the optimal electromechanical pipeline comprehensive layout diagram, extract the electromechanical pipeline distribution area corresponding to each pipeline maintenance and inspection area, and set each electromechanical pipeline distribution area as the target monitoring area; Step S3: sorting out the changes in the pipeline arrangement setting data presented in each target monitoring area in the process of drawing the optimal electromechanical pipeline comprehensive layout diagram using BIM software; Wherein, the step S3 comprises: Step S3-1: Collecting the pipeline arrangement setting data set presented in each target monitoring area in chronological order, the pipeline arrangement setting data set includes the number of electromechanical pipeline segments covered in the corresponding target monitoring area, and the layout attribute data corresponding to each electromechanical pipeline segment; the layout attribute data includes the horizontal height, vertical height, average spacing between adjacent pipeline segments, pipeline avoidance principles followed during layout, and setting parameters of corresponding supports and hangers; Step S3-2: Collect and generate pipeline layout setting data sequence L={Q 1 , Q 2 ,...,Q n}, where Q 1 , Q 2 ,...,Q n They represent the first, second, ..., nth pipeline arrangement setting data sets presented in chronological order in the corresponding target monitoring area, where each adjacent two pipeline arrangement setting data sets Q i , Q i+1 Constitute a change setting node {Q i ,Q i+1}; Step S3-3: extract the timestamp corresponding to each pipeline arrangement setting data set collected for each target monitoring area, and obtain the corresponding change setting node {Q i ,Q i+1}Change transition interval [t i ,t i+1 ], where t i ,t i+1 The i-th and i+1-th pipeline arrangement setting data sets Q are collected for each target monitoring area respectively. i , Q i+1 The timestamp corresponding to the time; Step S4: sorting out the distribution of correlation changes in pipeline arrangement and setting data presented between any two target monitoring areas, and evaluating the arrangement and setting correlation index of each target monitoring area to other target monitoring areas; Wherein, the step S4 comprises: Step S4-1: extract the pipeline arrangement setting data sequences L(A) and L(B) corresponding to any two target monitoring areas A and B respectively; set the initial value of the arrangement setting influence coefficient of the target monitoring area A on the target monitoring area B to 0; Step S4-2: If the timestamp T corresponding to the time when the j-th pipeline arrangement setting data set is collected for the target monitoring area B is captured j , and the jth change transition interval F in the pipeline arrangement setting data sequence L(A) satisfies T j∈F, the influence coefficient of the target monitoring area A on the arrangement of the target monitoring area B is cumulatively added by 1, and the timestamp T is extracted at the same time. j The interval difference between the minimum timestamp in the j-th change transition interval F; For example, the pipeline arrangement setting data sequence L(A) corresponding to the target monitoring area A is {W 1 , W 2 , W 3 , W 4 , W 5}, the corresponding timestamps are tW 1 , tW 2 , tW 3 , tW 4 , tW 5 , the pipeline arrangement setting data sequence L(B) corresponding to the target monitoring area B is {E 1 、E 2 、E 3 、E 4 、E 5}, the corresponding timestamps are tE 1 ,tE 2 ,tE 3 ,tE 4 ,tE 5 ; Because tE 1 ,tE 2 ,tE 3 ,tE 4 ,tE 5 The timestamps corresponding to the 1st, 2nd, 3rd, 4th, and 5th pipeline arrangement setting data sets in L(B) are collected in sequence, tW 1 , tW 2 , tW 3 , tW 4 , tW 5 The timestamps corresponding to the 1st, 2nd, 3rd, 4th, and 5th pipeline arrangement setting data sets in L(A) are collected in sequence; Because 1 ,tW 2 ] is the first change transition interval in the pipeline arrangement setting data sequence L(A), [tW 2 ,tW 3 ] is the second change transition interval in the pipeline arrangement setting data sequence L(A), [tW 3 ,tW 4 ] is the third change transition interval in the pipeline arrangement setting data sequence L(A), [tW 4 ,tW 5 ] is the fourth change transition interval in the pipeline arrangement setting data sequence L(A); If tE is captured 1 ∈[tW 1 ,tW 2 ],tE 2 ≠∈[tW 2 ,tW 3 ],tE 3 ∈[tW 3 ,tW 4 ],tE 4 ∈[tW 4 ,tW 5 ] In summary, the influence coefficient of the arrangement setting of the target monitoring area A on the target monitoring area B needs to be cumulatively added by 3; Step S4-3: Calculate the arrangement setting correlation index β of the target monitoring area A to the target monitoring area B = (η / M)×(1 / T e ); wherein η represents the final cumulative influence coefficient value of the arrangement setting of the target monitoring area A on the target monitoring area B; M represents the total number of change setting nodes included in the pipeline arrangement setting data sequence L(A); T e It represents the average value of all the interval differences obtained in the process of finally accumulating the influence coefficient value η of the arrangement setting of the target monitoring area A on the target monitoring area B; Step S5: sorting out the distribution of the arrangement setting correlation index presented between all target monitoring areas, constructing an influence structure, and generating an influence topological network between all target monitoring areas by collecting and connecting the influence structure constructed within the scope of all target monitoring areas; evaluating the important index of the arrangement influence caused by each target monitoring area in the target area; Wherein, the step S5 comprises: Step S5-1: Identify the position distribution of each target monitoring area in the three-dimensional spatial model of the target area; if the arrangement setting correlation index of the target monitoring area A to the target monitoring area B is greater than the threshold, in the three-dimensional spatial model of the target area, connect the target monitoring areas A and B to construct an influence structure: A→B, and at the same time, use the shortest straight-line distance between the target monitoring areas A and B in the three-dimensional spatial model of the target area as the influence index corresponding to the influence structure: A→B; Step S5-2: generating an influence topology network among all target monitoring areas by collecting and connecting the influence structural formulas constructed within all target monitoring areas; Step S5-3: If n different target monitoring areas U1, U2, U3, ..., U n , based on the influence structure: U1→U2→U3...→U n , it is determined that U2 and U1 are directly connected by affecting the structural formula, U2, U3, ..., U nThe indirect connection with U1 is achieved through the influence structure; Step S5-4: sequentially accumulate the total number K of other target monitoring areas that are directly and indirectly connected to each target monitoring area through the corresponding influence structure, and simultaneously obtain the sum E of the influence indexes corresponding to all corresponding influence structures, and evaluate and obtain the arrangement influence importance index α=E / K caused by each target monitoring area in the target area; Step S6: after generating the optimal electromechanical pipeline comprehensive layout diagram for the target area, generate the inspection sequence corresponding to the target area with reference to the important index of layout influence, and feed it back to the pipeline operation and maintenance terminal of the target area; Wherein, the step S6 comprises: Step S6-1: After the optimal electromechanical pipeline comprehensive layout diagram is generated for a target area, all target monitoring areas existing in the target area are sorted from large to small based on the corresponding arrangement influence importance indexes, and an inspection sequence corresponding to the target area is generated; Step S6-2: Feedback the inspection sequence to the pipeline operation and maintenance terminal, prompting the pipeline operation and maintenance terminal to set a corresponding operation and maintenance inspection frequency for each target monitoring area according to the arrangement order of each target monitoring area in the inspection sequence.

[0018] In order to better implement the above method, an automated electromechanical pipeline intelligent arrangement management system is also proposed, which is characterized in that: the system includes a data acquisition storage management module, a target monitoring area identification module, a pipeline arrangement setting data combing module, an arrangement setting correlation index calculation module, an arrangement influence important index calculation module, and a pipeline operation and maintenance management module; The data acquisition storage management module is used to store the process data of the BIM software in drawing and generating the optimal electromechanical pipeline comprehensive layout diagram for the target area based on the three-dimensional spatial model data of the target area and the relevant collision test result data; The target monitoring area identification module is used to mark all pipeline maintenance and repair areas from the optimal electromechanical pipeline comprehensive layout diagram, extract the electromechanical pipeline distribution area corresponding to each pipeline maintenance and repair area, and set each electromechanical pipeline distribution area as the target monitoring area; The pipeline arrangement setting data combing module is used to comb the changes in the pipeline arrangement setting data presented in each target monitoring area during the process of drawing the optimal electromechanical pipeline comprehensive layout diagram using the BIM software; The arrangement setting correlation index calculation module is used to sort out the correlation change distribution of the pipeline arrangement setting data presented between any two target monitoring areas, and evaluate the arrangement setting correlation index of each target monitoring area to other target monitoring areas; Wherein, the arrangement setting correlation index calculation module includes a pipeline arrangement setting data combing unit and an arrangement setting correlation index calculation unit; The pipeline arrangement setting data combing unit is used to comb the associated change distribution of the pipeline arrangement setting data presented between any two target monitoring areas; The arrangement setting association index calculation unit is used to evaluate the arrangement setting association index of each target monitoring area to other target monitoring areas.

[0019] The arrangement influence important index calculation module is used to sort out the arrangement setting correlation index distribution presented between all target monitoring areas, construct an influence structure formula, and generate an influence topological network between all target monitoring areas by collecting and connecting the influence structure formulas constructed within all target monitoring areas; evaluate the arrangement influence important index caused by each target monitoring area in the target area; Wherein, the arrangement impact important index calculation module includes an impact structure construction management unit and an arrangement impact important index evaluation unit; The influence structure formula construction management unit is used to sort out the arrangement setting association index distribution presented between all target monitoring areas, construct an influence structure formula, and generate an influence topology network between all target monitoring areas by collecting and connecting the influence structures constructed within all target monitoring areas; The arrangement influence importance index evaluation unit is used to evaluate the arrangement influence importance index caused by each target monitoring area in the target area.

[0020] The pipeline operation and maintenance management module is used to generate an optimal electromechanical pipeline comprehensive layout diagram for the target area, refer to the important index of layout influence, generate an inspection sequence corresponding to the target area, and feed it back to the pipeline operation and maintenance terminal of the target area.

[0021] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An automated electromechanical pipeline intelligent layout management method, characterized in that: The method comprises: Step S1: storing the process data of the BIM software drawing and generating the optimal electromechanical pipeline comprehensive layout diagram for the target area according to the three-dimensional spatial model data of the target area and the relevant collision test result data; Step S2: Mark all pipeline maintenance and inspection areas from the optimal electromechanical pipeline comprehensive layout diagram, extract the electromechanical pipeline distribution area corresponding to each pipeline maintenance and inspection area, and set each electromechanical pipeline distribution area as the target monitoring area; Step S3: sorting out the changes in the pipeline arrangement setting data presented in each target monitoring area in the process of drawing the optimal electromechanical pipeline comprehensive layout diagram using BIM software; Step S4: sorting out the distribution of correlation changes in pipeline arrangement and setting data presented between any two target monitoring areas, and evaluating the arrangement and setting correlation index of each target monitoring area to other target monitoring areas; Step S5: sorting out the distribution of the arrangement setting correlation index presented between all target monitoring areas, constructing an influence structure, and generating an influence topological network between all target monitoring areas by collecting and connecting the influence structure constructed within the scope of all target monitoring areas; evaluating the important index of the arrangement influence caused by each target monitoring area in the target area; Step S6: After generating the optimal electromechanical pipeline comprehensive layout diagram for the target area, generate an inspection sequence corresponding to the target area with reference to the important index of layout influence, and feed it back to the pipeline operation and maintenance terminal of the target area.

2. According to claim 1, a method for intelligent layout and management of electromechanical pipelines based on automation is characterized in that: The step S3 comprises: Step S3-1: Collecting the pipeline arrangement setting data set presented in each target monitoring area in chronological order, the pipeline arrangement setting data set includes the number of electromechanical pipeline segments covered in the corresponding target monitoring area, and the layout attribute data corresponding to each electromechanical pipeline segment; the layout attribute data includes the horizontal height, vertical height, average spacing between adjacent pipeline segments, pipeline avoidance principles followed during layout, and setting parameters of corresponding supports and hangers; Step S3-2: Collect and generate pipeline layout setting data sequence L={Q 1 , Q 2 ,...,Q n }, where Q 1 , Q 2 ,...,Q n They represent the first, second, ..., nth pipeline arrangement setting data sets presented in chronological order in the corresponding target monitoring area, where each adjacent two pipeline arrangement setting data sets Q i , Q i+1 Constitute a change setting node {Q i ,Q i+1 }; Step S3-3: extract the timestamp corresponding to each pipeline arrangement setting data set collected for each target monitoring area, and obtain the corresponding change setting node {Q i ,Q i+1 }Change transition interval [t i ,t i+1 ], where t i ,t i+1 The i-th and i+1-th pipeline arrangement setting data sets Q are collected for each target monitoring area respectively. i , Q i+1 The timestamp corresponding to the time.

3. According to claim 2, the method for intelligent layout and management of electromechanical pipelines based on automation is characterized in that: Described step S4 comprises: Step S4-1: extract the pipeline arrangement setting data sequences L(A) and L(B) corresponding to any two target monitoring areas A and B respectively; set the initial value of the arrangement setting influence coefficient of the target monitoring area A on the target monitoring area B to 0; Step S4-2: If the timestamp T corresponding to the time when the j-th pipeline arrangement setting data set is collected for the target monitoring area B is captured j , and the jth change transition interval F in the pipeline arrangement setting data sequence L(A) satisfies T j ∈F, the influence coefficient of the target monitoring area A on the arrangement of the target monitoring area B is cumulatively added by 1, and the timestamp T is extracted at the same time. j The interval difference between the minimum timestamp in the j-th change transition interval F; Step S4-3: Calculate the arrangement setting correlation index β of the target monitoring area A to the target monitoring area B = (η / M)×(1 / T e ); wherein η represents the final cumulative influence coefficient value of the arrangement setting of the target monitoring area A on the target monitoring area B; M represents the total number of change setting nodes included in the pipeline arrangement setting data sequence L(A); T e It means that in the process of finally accumulating the influence coefficient value η of the arrangement setting of the target monitoring area A on the target monitoring area B, the average value of all the interval differences obtained is obtained.

4. The method for intelligent layout and management of electromechanical pipelines based on automation according to claim 3 is characterized in that: The step S5 comprises: Step S5-1: Identify the position distribution of each target monitoring area in the three-dimensional spatial model of the target area; if the target monitoring area A has a layout setting correlation index with the target monitoring area B that is greater than a threshold, connect the target monitoring areas A and B in the three-dimensional spatial model of the target area to construct an influence structure: A→B, and at the same time, use the shortest straight-line distance between the target monitoring areas A and B in the three-dimensional spatial model of the target area as the influence index corresponding to the influence structure: A→B; Step S5-2: generating an influence topology network among all target monitoring areas by collecting and connecting the influence structural formulas constructed within all target monitoring areas; Step S5-3: If n different target monitoring areas U1, U2, U3, ..., U n , based on the influence structure: U1→U2→U3...→U n , it is determined that U2 and U1 are directly connected by affecting the structural formula, U2, U3, ..., U n The indirect connection with U1 is achieved through the influence structure; Step S5-4: sequentially accumulate the total number K of other target monitoring areas that are directly and indirectly connected to each target monitoring area through the corresponding influence structural formula, and simultaneously obtain the sum E of the influence indexes corresponding to all corresponding influence structural formulas, and evaluate the arrangement influence importance index α=E / K caused by each target monitoring area in the target area.

5. The method for intelligent layout and management of electromechanical pipelines based on automation according to claim 4 is characterized in that: The step S6 comprises: Step S6-1: After the optimal electromechanical pipeline comprehensive layout diagram is generated for a target area, all target monitoring areas existing in the target area are sorted from large to small based on the corresponding arrangement influence importance indexes, and an inspection sequence corresponding to the target area is generated; Step S6-2: Feedback the inspection sequence to the pipeline operation and maintenance terminal, prompting the pipeline operation and maintenance terminal to set a corresponding operation and maintenance inspection frequency for each target monitoring area according to the arrangement order of each target monitoring area in the inspection sequence.

6. An automated electromechanical pipeline intelligent arrangement management system, used to execute an automated electromechanical pipeline intelligent arrangement management method according to any one of claims 1 to 5, characterized in that: The system includes a data acquisition storage management module, a target monitoring area identification module, a pipeline arrangement setting data combing module, an arrangement setting correlation index calculation module, an arrangement influence important index calculation module, and a pipeline operation and maintenance management module; The data acquisition storage management module is used to store the process data of the BIM software in drawing and generating the optimal electromechanical pipeline comprehensive layout diagram for the target area based on the three-dimensional spatial model data of the target area and the relevant collision test result data; The target monitoring area identification module is used to mark all pipeline maintenance and repair areas from the optimal electromechanical pipeline comprehensive layout diagram, extract the electromechanical pipeline distribution area corresponding to each pipeline maintenance and repair area, and set each electromechanical pipeline distribution area as the target monitoring area; The pipeline arrangement setting data combing module is used to comb the changes in the pipeline arrangement setting data presented in each target monitoring area during the process of drawing the optimal electromechanical pipeline comprehensive layout diagram using the BIM software; The arrangement setting correlation index calculation module is used to sort out the correlation change distribution of the pipeline arrangement setting data presented between any two target monitoring areas, and evaluate the arrangement setting correlation index of each target monitoring area to other target monitoring areas; The arrangement influence important index calculation module is used to sort out the arrangement setting correlation index distribution presented between all target monitoring areas, construct an influence structure formula, and generate an influence topological network between all target monitoring areas by collecting and connecting the influence structure formulas constructed within all target monitoring areas; evaluate the arrangement influence important index caused by each target monitoring area in the target area; The pipeline operation and maintenance management module is used to generate an optimal electromechanical pipeline comprehensive layout diagram for the target area, refer to the important index of layout influence, generate an inspection sequence corresponding to the target area, and feed it back to the pipeline operation and maintenance terminal of the target area.

7. The automated electromechanical pipeline intelligent arrangement and management system according to claim 6 is characterized in that: The arrangement setting correlation index calculation module includes a pipeline arrangement setting data combing unit and an arrangement setting correlation index calculation unit; The pipeline arrangement setting data combing unit is used to comb the associated change distribution of the pipeline arrangement setting data presented between any two target monitoring areas; The arrangement setting association index calculation unit is used to evaluate the arrangement setting association index of each target monitoring area to other target monitoring areas.

8. The automated electromechanical pipeline intelligent arrangement and management system according to claim 6 is characterized in that: The arrangement impact importance index calculation module includes an impact structure construction management unit and an arrangement impact importance index evaluation unit; The influence structure formula construction management unit is used to sort out the arrangement setting association index distribution presented between all target monitoring areas, construct an influence structure formula, and generate an influence topology network between all target monitoring areas by collecting and connecting the influence structures constructed within all target monitoring areas; The arrangement influence importance index evaluation unit is used to evaluate the arrangement influence importance index caused by each target monitoring area in the target area.

Images