Building intelligent installation integrated management and control system

Abstract

The invention discloses an integrated management and control system for intelligent installation of a building, relates to the technical field of intelligent management and control, and solves the technical problems of realizing accurate classified management and control and ensuring that a management and control scheme is adaptive to a scene according to differential characteristics of a standard building scene and a non-standard building scene. The management and control modules are respectively designed for the standard scene and the non-standard scene, the standard scene realizes standardized conflict detection and optimization by relying on the static BIM model, and the non-standard scene adapts to a complex structure and customization requirements through the parameterized BIM model, so that scene-scheme accurate matching is realized, the management and control flexibility and adaptability are improved, and the management and control efficiency is improved. Through BIM model and multi-dimensional adaptability verification, advanced recognition of design conflicts and automatic optimization of solutions are realized, a dynamic monitoring processing module is introduced, an installation state is mapped in real time based on a digital twin system, and through deviation recognition, reason analysis and dynamic adjustment, real-time monitoring, abnormal early warning and closed-loop correction of an installation process are realized.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, specifically to an integrated control system for intelligent building installation. Background Technology

[0002] With the development of building intelligence, the building installation process involves the collaboration of multiple professional systems, resulting in a surge in data volume and increased scenario complexity.

[0003] However, some existing integrated management and control systems suffer from inconsistent data collection quality, including outliers and duplicates, which affects the accuracy of subsequent analysis. Furthermore, the lack of differentiated management between standard and non-standard scenarios leads to low efficiency and poor adaptability. Conflict detection in the design and construction phases is delayed, relying heavily on manual checks, which can result in omissions and insufficient optimization of solutions. The lack of a dynamic monitoring mechanism throughout the entire process makes it difficult to detect and correct deviations during installation, affecting installation quality and schedule. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an integrated management and control system for intelligent building installation, which solves the problem of precise classification and control for the differentiated characteristics of standard and non-standard building scenarios, ensuring that the management and control scheme is adapted to the scenario.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an integrated management and control system for intelligent building installation, comprising: The building data acquisition module collects installation data, including building structure models and equipment parameters, through IoT sensors and transmits it to the data filtering and processing module. The data filtering and processing module filters installation data, identifies and repairs repairable data, removes unrepairable data to obtain preprocessed data, classifies and identifies building scenes as standard or non-standard scenes, and generates and transmits corresponding analysis signals. The standard scenario management module receives standard scenario analysis signals, retrieves construction data to construct a BIM 3D model, detects design conflicts based on the model, generates and optimizes modification schemes for conflicts, and generates management information after adaptability verification and transmits it to the management information output module. The non-standard scenario management module receives non-standard scenario analysis signals, retrieves basic data to construct a parametric BIM model, determines the design scheme and identifies conflict areas and causes, and generates management information after modifying the scheme, which is then transmitted to the management information output module. The control information output module is used to display the received control information to the corresponding management personnel.

[0006] As a further aspect of the present invention, the specific method by which the data filtering processing module identifies and repairs repairable data is as follows: Data with format errors is repaired through field mapping and completion of required fields; duplicate values ​​are retained by using timestamps and device IDs as unique identifiers; and minor outliers are restored to reasonableness through sliding window mean correction.

[0007] As a further aspect of the present invention, the specific method by which the data filtering processing module classifies and identifies architectural scenes as standard or non-standard scenes is as follows: The current building scene is intelligently identified and classified. If the scene conforms to the standardized construction specifications, it is determined to be a standard building scene and a standard scene analysis signal is generated. If the scene is unique, it is determined to be a non-standard architectural scene, and a non-standard scene analysis signal is generated.

[0008] As a further aspect of the present invention, the standard scenario management module generates management information in the following specific manner: Construct a BIM 3D model, combine it with the design requirements list, and use the model to detect and determine whether there are construction conflicts. If there are conflicts, generate a conflict analysis signal; if there are no conflicts, generate a normal monitoring signal. Based on the conflict analysis signal, the conflict point is located and a preliminary modification plan is generated. The plan is then verified in two dimensions: spatial adaptability and structural adaptability. If the verification is successful, control information is generated. If the verification fails, the plan is optimized until the verification is successful, at which point the control information is transmitted to the control information output module.

[0009] As a further aspect of the present invention, the specific method for performing dual-dimensional verification of the spatial adaptability and structural adaptability of the solution is as follows: Spatial adaptability verification includes verifying that there is sufficient installation space, that the functional space is not affected, and that the spacing between each system meets the specifications; structural adaptability verification includes verifying that the load complies with regulations, that the seismic resistance meets the standards, and that it is compatible with the existing structure.

[0010] As a further aspect of the present invention, the specific method by which the non-standard scenario management module generates management information is as follows: After receiving non-standard scenario analysis signals, core basic data is retrieved, a fully parametric BIM model is constructed, a preliminary plan is generated based on the model and design requirements, abnormal areas and causes such as irregular structure space conflicts, equipment interface conflicts, and environmental performance conflicts are detected and identified, and the plan is modified by parametrically adjusting related variables. The system performs multi-dimensional verification of spatial adaptability, functional adaptability, environmental adaptability, and process adaptability, generates control information, and transmits it to the control information output module.

[0011] As a further aspect of the present invention, the core basic data includes original building structure drawings, customized equipment parameters, on-site environmental constraints, and cross-disciplinary specifications; the conflict types in abnormal areas include spatial conflicts between irregular structures and systems, interface conflicts between customized equipment and conventional systems, conflicts between environmental constraints and system performance, and construction conflicts caused by the coupling of multiple systems.

[0012] As a further aspect of the present invention, a dynamic monitoring and processing module is also included, used for real-time dynamic monitoring of the acquired control information, specifically including: By collecting real-time installation data from multiple types of sensing devices, a full-element digital twin system of site-model is built and driven based on the real-time installation data. The real-time installation data is compared and analyzed with the design requirements from multiple dimensions to determine whether there are any deviations. If there are, a deviation analysis signal is generated; otherwise, a normal monitoring signal is generated. For the deviation analysis signal, the cause of the deviation is analyzed and a targeted adjustment plan is generated. After verifying the adjustment effect through the digital twin system, dynamic monitoring information is generated and transmitted to the control information output module.

[0013] This invention provides an integrated management and control system for intelligent building installation. Compared with existing technologies, it has the following advantages: This invention designs separate control modules for standard and non-standard scenarios. Standard scenarios rely on static BIM models for standardized conflict detection and optimization, while non-standard scenarios utilize parametric BIM models to adapt to complex structures and customized needs, achieving precise matching of scenarios and solutions, thus improving control flexibility and adaptability. Through BIM model and multi-dimensional adaptability verification, it enables early identification of design conflicts and automatic optimization of solutions, reducing manual intervention and shortening the conflict resolution cycle. A dynamic monitoring and processing module is introduced, based on a digital twin system to map the installation status in real time. Through deviation identification, cause analysis, and dynamic adjustment, it achieves real-time monitoring, anomaly warning, and closed-loop correction of the installation process, ensuring installation accuracy and progress, and improving project quality stability. Attached Figure Description

[0014] Figure 1 This is a block diagram illustrating the system principle of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Example 1 Please see Figure 1This application provides an integrated management and control system for intelligent building installation, including a building data acquisition module, a data filtering and processing module, a non-standard scenario management and control module, a standard scenario management and control module, a dynamic monitoring and processing module, and a management and control information output module, and combines... Figure 1 It can be seen that the information between the above functional modules is transmitted in one direction only.

[0017] The building data acquisition module is used to collect installation data during the building installation process. The installation data is specifically acquired through IoT sensors, including building structure models and equipment parameters. The acquired installation data is then transmitted to the data filtering and processing module.

[0018] The data filtering and processing module is used to filter the acquired installation data, and the specific filtering and processing methods are as follows: The system identifies invalid data within the installation data, specifically including outliers (data deviating from a reasonable range), duplicate values ​​(redundant records of the same dimension), format errors (data formats not conforming to preset specifications), redundant values ​​(data irrelevant to the current installation management objectives), and expired data (data that has lost its application value). It also identifies repairable data within the invalid data, which refers to data whose validity can be restored through rule completion, logical correction, etc. For example, in the format error category, "missing equipment number" can be completed by associating with the equipment ledger; in the duplicate value category, "multiple records from the same time" can retain the latest record. Repairable data is then processed. Next, irreparable data is removed. Irreversible data refers to data that cannot be recovered due to inherent errors or damage, such as continuously fluctuating values ​​caused by a complete sensor failure, or records where core fields (such as equipment model and installation location) are completely missing and cannot be traced. This results in preprocessed data. Based on key features in the preprocessed data (such as building type, structural complexity, construction specifications, and equipment customization level), the module intelligently identifies and classifies the current building scenario. If the scenario conforms to standardized construction specifications (such as ordinary residential buildings and conventional office buildings, with clear installation procedures and common equipment), it is determined to be a standard building scenario, and a standard scenario analysis signal is generated. If a scene is unique (such as irregularly shaped public buildings, customized industrial plants, or renovations of historical buildings, or the presence of customized equipment, complex cross-operations, or special environmental constraints), it is determined to be a non-standard building scene, and a non-standard scene analysis signal is generated and then transmitted separately.

[0019] Repairable data repair: Data correction is completed based on preset repair rules, including: for data with incorrect format, repair is achieved through field mapping (such as uniformly converting "2023 / 12 / 01" to the standard date format "2023-12-01") and required field completion (such as automatically filling in the missing "responsible person" field according to the construction team information); For duplicate values, the latest valid record is retained by unique identification using "timestamp + device ID", and the remaining duplicates are removed; For minor outliers (such as short-term deviations caused by environmental fluctuations, and within an acceptable error range), reasonableness is restored by sliding window mean correction (such as taking the average of the data before and after 5 minutes to replace the outlier).

[0020] Unrepairable data removal: For data that is determined to be unrepairable (such as equipment acceptance records with missing core parameters or sensor data that is continuously ineffective), a complete removal operation is performed to avoid interfering with subsequent analysis. The reason for removal (such as "sensor failure" or "missing core fields") and the original data backup (for traceability and verification) are recorded simultaneously.

[0021] The standard scenario management module receives the standard scenario analysis signal and first retrieves the complete set of building construction data corresponding to the scenario from the system database, including building construction drawings, design drawings of various disciplines (mechanical and electrical, HVAC, low voltage, etc.), specifications and design specifications. Based on the above data, the module uses BIM technology to build a collaborative 3D model of all disciplines: accurately embeds elements such as building structure (beams, slabs, columns), mechanical and electrical pipelines (water pipes, cable trays, air ducts), and intelligent equipment (security cameras, sensor points) into the model, and associates equipment parameters (such as pipe diameter, load-bearing capacity), installation specifications (such as pipeline spacing ≥300mm), space limits (such as ceiling height ≥2.8m) and other information to form a "visualized + parametric" digital twin model. Obtain the design requirements list for the scenario, which includes functional requirements, specification requirements, construction feasibility requirements, and spatial requirements. Based on the 3D model, perform multi-dimensional conflict detection on the design requirements. The specific multi-dimensional conflict detection includes spatial conflicts, specification conflicts, functional conflicts, and construction conflicts. If any of the above conflicts are detected, the module generates a conflict analysis signal (including information such as conflict location, type, and related disciplines). If no conflict is found, a normal monitoring signal is generated and synchronously pushed to the control information output module to start the regular construction monitoring process. In response to conflict analysis signals, the module first locates the specific conflict point (e.g., "the air duct and sprinkler branch pipe collide at an elevation of 3.2m in the conference room on the east side of the 3rd floor"), and generates a preliminary modification plan based on the BIM model: For spatial conflicts, priority should be given to "avoidance optimization" (such as adjusting the duct elevation to 3.3m) or "path reconstruction" (such as changing the cable tray route from under the beam to the side of the beam). For conflicts in regulations, the corresponding standard can be directly referenced to generate a correction plan (such as adjusting the distance between gas pipelines and electrical pipelines to 500mm). For functional or construction conflicts, solutions can be generated by combining mature experience from similar standard projects (such as relocating the low-voltage box to 1m away from the high-voltage box). The module performs a comprehensive adaptability verification of the initial modification plan, focusing on a dual evaluation from the perspectives of "spatial adaptability" and "structural adaptability": Spatial adaptability: The spatial relationships of each element after modification are simulated through BIM model to verify whether the following are met: ① Sufficient installation space (e.g., the operating radius required for equipment installation is ≥800mm); ② Functional space is not affected (e.g., the ceiling height is still ≥2.8m); ③ The spacing between each system complies with the specifications (e.g., the spacing between air ducts and water pipes is ≥150mm).

[0022] Structural compatibility: Assess the impact of the modifications on the building's structural safety, including: ① Load compliance (e.g., the load-bearing capacity of the new supports is ≤ the design load of the structural beams); ② Seismic compliance (e.g., the spacing of seismic supports still meets the specifications after pipeline modifications); ③ Compatibility with the existing structure (e.g., the size of wall openings is ≤ 1 / 3 of the structural column cross-section).

[0023] If both dimensions meet the design requirements, the module generates detailed control information based on the solution, including the modified BIM model, key points of construction handover (such as "the duct elevation is adjusted to 3.3m, and the support position needs to be updated simultaneously"), and acceptance standards (such as "the adjusted pipeline spacing must be ≥150mm"). If either dimension fails to meet the standard (such as the space adaptation is met but the structural load exceeds the limit), the intelligent optimization cycle is initiated. For insufficient space adaptation: automatically adjust the avoidance range of the solution (such as further raising the air duct to 3.4m) or change the route (such as changing from the east side of the conference room to the north side). To address structural inadequacies: optimize the support method (e.g., change a single-point support to a double-point support) or reduce the load (e.g., use lightweight duct materials).

[0024] During the optimization process, the module continuously verifies the BIM model until the solution simultaneously meets the spatial and structural adaptation requirements, and finally generates control information and transmits it to the control information output module.

[0025] The non-standard scenario management module, upon receiving a non-standard scenario analysis signal, first links with the system database to retrieve the core basic data of the scenario, including but not limited to: original building structure drawings (such as detailed drawings of irregular steel structure nodes), customized equipment parameters (such as special load requirements of industrial production lines), on-site environmental constraints (such as the protection scope of historical buildings and geological data of underground engineering), and cross-professional specifications (such as the building and medical equipment standards that medical buildings must meet simultaneously).

[0026] Based on the above data, the module adopts a fully parametric BIM model (different from the static model of the standard scene) for digital modeling: the key parameters (size, material, load, spatial coordinates, interface standards, etc.) of the building structure (such as curved curtain wall keel, irregular concrete components) and various professional systems (such as electromechanical pipelines, intelligent equipment, special process pipelines) are set as "dynamic related variables". Based on the parametric BIM model and the analyzed design requirements, a preliminary design scheme is generated. The scheme is then subjected to full-scene conflict detection, with a focus on identifying "abnormal areas" (i.e. design conflict points) unique to non-standard scenarios. The conflict types include spatial conflicts between irregular structures and systems, interface conflicts between customized equipment and conventional systems, and conflicts between environmental constraints and system performance. Based on the causes of the anomalies, a dynamic modification process for the design scheme is initiated. The core of the scheme adaptation is achieved through "parametric adjustment + multi-dimensional adaptability verification". Design parameters are modified in a targeted manner, and related variables are dynamically adjusted through a parametric model. For multi-dimensional adaptability modifications, analysis and processing are carried out from the perspectives of spatial adaptability, functional adaptability, environmental adaptability and process adaptability, and corresponding control information is generated and transmitted to the control information output module. Space adaptability: Simulate the space occupancy of the entire installation process (e.g., "Is the operating radius of construction personnel ≥1.2m"); Functional compatibility: Verify whether the performance of the modified system meets the standards (e.g., "After the duct diameter is reduced, the air conditioning air volume still meets the design value" and "After the interface of the customized equipment is adjusted, there is no loss in the medium delivery pressure"). Environmental adaptability: Assess the system's compatibility with special environments (e.g., "whether the service life of the corrosion-resistant pipeline is ≥15 years in a high humidity environment"). Process adaptability: Confirm that the solution meets the requirements of non-standard construction processes (such as "the opening size of the wall of the historical building is ≤100mm to avoid structural damage").

[0027] The control information output module is used to display the generated control information to the corresponding management personnel.

[0028] Example 2 As a second embodiment of the present invention, it is implemented based on the first embodiment, and the difference from the first embodiment is as follows: The dynamic monitoring and processing module is used to perform real-time dynamic monitoring of the acquired control information. Specifically, it acquires real-time installation data, including equipment levelness, pipeline slope, and structural deformation. It establishes a real-time synchronized digital twin system between the site and the model, synchronizes the data to the digital twin model, compares it with the design requirements, and determines whether there is a deviation. If there is a deviation, a deviation analysis signal is generated; otherwise, a normal monitoring signal is generated. For the generated deviation analysis signal, the specific cause of the deviation is obtained, and the design is adjusted according to the cause of the deviation. At the same time, dynamic monitoring information is generated and then transmitted to the control information output module.

[0029] After receiving the control information (including design parameters, acceptance criteria, key node requirements, etc.) transmitted by the control information output module, the real-time monitoring process is initiated. First, multi-dimensional installation data is collected through multiple types of sensing devices. Based on the pre-processed real-time data, a full-element digital twin system of site-model is constructed and driven. The specific construction method is as follows: Based on the BIM parametric model, the physical elements such as building structure, equipment, and pipelines are integrated with the digital twin model. Through edge computing and cloud collaboration, the data synchronization frequency is dynamically adapted. The digital twin model displays the dynamic change curves of key monitoring indicators in real time (such as the changing trend of equipment levelness with the installation process and the cumulative value of structural deformation), and marks the threshold range required by the design. The digital twin system compares and analyzes real-time installation data with design requirements (from control information) from multiple dimensions to determine if there are any deviations. If the real-time data are all within the threshold range, it is determined that "the installation meets the design requirements", a normal monitoring signal is generated, and it is synchronously pushed to the control information output module for continuous monitoring. If any parameter exceeds the threshold (such as the equipment level deviation reaching 1.2mm / m, or the structural deformation exceeding the design limit), a deviation analysis signal is generated. The signal contains the deviation location, deviation value (the difference between the current value and the design value), and deviation type (such as "systematic deviation" or "instantaneous interference"). The criteria for determining this deviation are as follows: Differentiation thresholds can be set based on the characteristics of different parameters, for example: Equipment levelness: Allowable deviation ≤ ±0.5mm / m (precision equipment) or ≤ ±1mm / m (conventional equipment); Pipeline slope: The allowable deviation of the slope of drainage pipes is ≤ ±0.5%, and the slope deviation of pressure pipes does not affect the flow direction of the medium; Structural deformation: The settlement of the steel structure support should be ≤1 / 3 of the design allowable value, and the deformation rate should be ≤0.5mm / day (avoid sudden changes). Environmental parameters: The concentration of combustible gas in the explosion-proof area must always be ≤25% of the lower explosive limit.

[0030] For deviation analysis signals, the module links the digital twin model with the on-site records to conduct multi-dimensional cause tracing. Based on the cause of the deviation, the module generates a targeted adjustment plan and verifies the adjustment effect through the digital twin system. After the adjustment plan is generated, the module simulates the adjustment effect through the digital twin system (such as predicting whether the equipment level can return to the allowable range after adjustment and whether the structural deformation is controllable). If the simulation results meet the standards, the plan is converted into dynamic monitoring information.

[0031] The control information output module is used to display the acquired dynamic monitoring information to the corresponding management personnel.

[0032] Example 3 As a third embodiment of the present invention, the focus is on combining the implementation processes of the first and second embodiments.

[0033] The data in the above formulas are all calculated using numerical values, without substituting the units of the parameters. In addition, the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0034] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A building intelligent installation integrated integrated management and control system, characterized in that, The application relates to a building scene intelligent management system. The system comprises: a building data collection module which collects installation data containing a building structure model and equipment parameters through Internet of Things sensors and transmits the installation data to a data filtering processing module; the data filtering processing module filters the installation data, identifies and repairs repairable data, removes unrepairable data to obtain pretreatment data, classifies and identifies a building scene as a standard or non-standard scene, generates and transmits corresponding analysis signals; a standard scene management and control module which receives the standard scene analysis signals, calls construction data to construct a BIM three-dimensional model, detects design conflicts based on the model, generates and optimizes a modification scheme for the conflicts, generates management and control information after adaptability verification and transmits the management and control information to a management and control information output module; a non-standard scene management and control module which receives the non-standard scene analysis signals, calls basic data to construct a parameterized BIM model, determines a design scheme and identifies conflict areas and reasons, generates management and control information after modifying the scheme and transmits the management and control information to the management and control information output module; 2. The integrated installation and management system for building intelligence according to claim 1, characterized in that, and the management and control information output module which is used for displaying the received management and control information to corresponding managers. The data filtering processing module identifies and repairs repairable data in the following specific manner:

3. The integrated installation and management system for building intelligence according to claim 1, characterized in that, format error data is repaired through field mapping and compulsory item completion, repeated values are reserved by using a time stamp and a device ID to uniquely identify the latest valid record, and slight abnormal values are recovered to reasonableness by using a sliding window mean value correction. The data filtering processing module classifies and identifies a building scene as a standard or non-standard scene in the following specific manner: a current building scene is intelligently identified and classified, if the scene meets standardized construction specifications, the scene is determined as a standard building scene, and a standard scene analysis signal is generated; 4. The integrated installation and management system for building intelligence according to claim 1, characterized in that, if the scene has uniqueness, the scene is determined as a non-standard building scene, and a non-standard scene analysis signal is generated. The standard scene management and control module generates management and control information in the following specific manner: a BIM three-dimensional model is constructed, a design requirement list is combined, and whether a construction conflict exists is judged based on the model, a conflict analysis signal is generated if a conflict exists, and a normal monitoring signal is generated if no conflict exists; 5. The integrated system of claim 4, wherein, for the conflict analysis signal, a conflict point is located and a preliminary modification scheme is generated, the scheme is verified in two dimensions of spatial adaptability and structural adaptability, and management and control information is generated after passing the verification; if the scheme fails to pass the verification, the scheme is optimized until the management and control information is transmitted to the management and control information output module after passing the verification. The scheme is verified in two dimensions of spatial adaptability and structural adaptability in the following specific manner:

6. The integrated installation and management system for building intelligence according to claim 1, characterized in that, spatial adaptability verification includes verifying whether installation space is sufficient, whether functional space is not affected and whether distances between systems meet specifications; structural adaptability verification includes verifying whether loads are compliant, whether anti-seismic standards are met and whether compatibility with original structures is achieved. The non-standard scene management and control module generates management and control information in the following specific manner: after receiving the non-standard scene analysis signal, core basic data is called to construct a full-parameterized BIM model, a preliminary scheme is generated based on the model and design requirements, abnormal areas and reasons such as abnormal structure space conflicts, equipment interface conflicts and environmental performance conflicts are detected and identified, and the scheme is modified through parameterized adjustment of associated variables; the scheme is verified in multiple dimensions of spatial adaptability, functional adaptability, environmental adaptability and process adaptability, management and control information is generated and transmitted to the management and control information output module.

7. The integrated system of claim 6, wherein, The core basic data includes original drawings of building structures, customized equipment parameters, site environment constraints and cross-disciplinary specifications; the conflict types of the abnormal area include spatial conflicts of special-shaped structures and systems, interface conflicts of customized equipment and conventional systems, conflicts of environment constraints and system performance, and construction conflicts caused by multi-system coupling.

8. The integrated installation and management system for building intelligence according to claim 1, characterized in that, The dynamic monitoring processing module is further included for real-time dynamic monitoring of the acquired management and control information, and specifically includes: Through the multi-type sensing device, full-dimensional real-time installation data is collected, and based on the real-time installation data, a site-model full-element digital twin system is constructed and driven, multi-dimensional comparison and analysis are performed between the real-time installation data and design requirements, it is determined whether there is deviation, if there is, a deviation analysis signal is generated, otherwise a normal monitoring signal is generated; for the deviation analysis signal, the deviation reason is analyzed and a targeted adjustment scheme is generated, after the adjustment effect is verified through the digital twin system, dynamic monitoring information is generated and transmitted to the management and control information output module.

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