BIM-driven equipment full-life-cycle intelligent management and control method and system

Abstract

The invention belongs to the technical field of equipment management and control, and provides a BIM-driven equipment full-life-cycle intelligent management and control method and system, and the method comprises the steps: carrying out the updating of a BIM model according to the data change of equipment in each time period in a full life cycle, and carrying out the lightweight processing of the BIM model; specifically, when lightweight processing is carried out, attribute information of a preset type in an equipment model is deleted by reducing the number of triangular meshes in a repeated structure and a pre-selected local structure in a BIM model, and the precision of the equipment model is dynamically adjusted according to different time periods of the equipment; according to the method, the repeatability and importance of the structure in the BIM model are considered, dynamic precision adjustment is performed according to equipment in different time periods, the problem of incomplete equipment data analysis caused by lightweight processing is avoided, the requirements on storage capacity, data transmission capacity and performance are reduced on the basis of ensuring data processing precision, and the data processing efficiency is improved. And the application of the BIM model in the full life cycle management and control of the equipment is promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment control, and in particular relates to a BIM-driven equipment full life cycle intelligent control method and system. Background Art

[0002] With the continuous development of Building Information Modeling (BIM) technology, its application in the field of equipment management is becoming more and more extensive; however, existing equipment management methods often lack comprehensive information integration and dynamic update mechanisms, resulting in information isolation in all stages of the equipment's life cycle, including planning, procurement, installation, operation, maintenance and scrapping, making it difficult to achieve efficient management and control.

[0003] One of the problems that restricts BIM models in the management and control of equipment throughout the life cycle is that for all buildings in the park and all equipment in the buildings, the number of buildings and equipment themselves results in a large amount of data, and the data of equipment at different life stages will change and be updated, resulting in a large overall data volume in the model, affecting the system's data speed, and placing high requirements on the system's storage capacity, data transmission capacity and performance; and although the cost of data processing, storage and transmission can be reduced by simplifying the model, the incompleteness of the data will affect the accuracy of data processing and the effect of equipment management and control. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a BIM-driven equipment full life cycle intelligent management and control method and system. When the present invention performs lightweight processing, it reduces the number of triangular meshes in repeated structures and pre-selected local structures in the BIM model, deletes the preset type of attribute information in the equipment model, and dynamically adjusts the accuracy of the equipment model according to the different time periods in which the equipment is located; the repeatability and importance of the structure in the BIM model, as well as the dynamic accuracy adjustment according to the equipment in different time periods, avoids the problem of incomplete equipment data analysis caused by lightweight processing, reduces the requirements for storage capacity, data transmission capacity and performance on the basis of ensuring data processing accuracy, and promotes the application of BIM models in equipment full life cycle management and control.

[0005] In order to achieve the above object, the present invention is implemented through the following technical solutions:

[0006] In a first aspect, the present invention provides a BIM-driven intelligent management and control method for equipment throughout its life cycle, comprising:

[0007] Obtain relevant data of buildings in the park and relevant data of all equipment in the buildings;

[0008] Establish a BIM model based on the relevant data of the building and the relevant data of the equipment;

[0009] The BIM model is updated according to the data changes of the equipment in each time period during the whole life cycle; and the BIM model is lightweighted; wherein, when lightweighting, the number of triangular meshes in the repeated structure and pre-selected local structure in the BIM model is reduced, the attribute information of the preset type in the equipment model is deleted, and the accuracy of the equipment model is dynamically adjusted according to the different time periods of the equipment;

[0010] Analyze the equipment based on the updated and lightweight BIM model; manage and control the equipment according to the analysis results.

[0011] Further, the overall size, number of floors and number of rooms of the two buildings are compared to see if they are equal. If they are equal, the buildings are judged to be duplicated. Then, the number and type of equipment in the buildings are judged to be equal. If so, the two buildings are judged to be duplicated structures. The equipment of all buildings is determined, and the equipment with the same model, operating years, actual operating time and working conditions is determined to be duplicated.

[0012] A local model, local equipment or local component of the equipment whose vibration signal, heating signal and power consumption are all smaller than corresponding preset values ​​is determined to be a preselected local structure.

[0013] Furthermore, for repeated structures, the triangular meshes are directly deleted; for local components, the damage risk value is calculated through vibration signals, heat signals and power consumption. If the damage risk value is greater than the preset value, the triangular meshes are merged, otherwise the triangular meshes are directly deleted.

[0014] Furthermore, the damage risk value X is:

[0015]

[0016] Among them, a is the vibration signal of the collection part; a0 is the maximum vibration signal collected in the whole park; b is the heating temperature of the collection part; b0 is the maximum temperature collected in the whole park; c is the power consumption of the collection part; c0 is the overall power consumption of the park; α, β and γ are adjustment parameters, which can be set in advance according to different detection objects; Transform parameters for the entire life cycle.

[0017] Furthermore, the equipment model, specifications and manufacturer in the equipment attribute information are retained; the number of faces of pipeline equipment, door handles and wall fonts in the building is controlled within a preset number; and the accuracy of the BIM model is improved as the equipment changes on the planning, procurement, installation, operation, maintenance and scrapping timeline.

[0018] Furthermore, the data of the entire life cycle of the equipment is analyzed, and performance evaluation, fault prediction and cost analysis are carried out according to multiple formulas; the equipment is managed and controlled according to the performance evaluation, fault prediction and cost analysis.

[0019] In a second aspect, the present invention further provides a BIM-driven equipment full life cycle intelligent management and control system, including:

[0020] The data acquisition module is configured to: obtain relevant data of buildings in the park and relevant data of all equipment in the buildings;

[0021] The BIM model building module is configured to: build a BIM model according to relevant data of the building and relevant data of the equipment;

[0022] The data updating and lightweight processing module is configured to: update the BIM model according to the data changes in each time period of the equipment during the whole life cycle; and perform lightweight processing on the BIM model; wherein, when performing lightweight processing, the number of triangular meshes in repeated structures and pre-selected local structures in the BIM model is reduced, attribute information of preset types in the equipment model is deleted, and the accuracy of the equipment model is dynamically adjusted according to the different time periods in which the equipment is located;

[0023] The management and control module is configured to: analyze the equipment based on the updated and lightweight BIM model; and perform equipment management and control according to the analysis results.

[0024] In a third aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the BIM-driven equipment full life cycle intelligent management and control method described in the first aspect.

[0025] In a fourth aspect, the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein when the processor executes the program, the steps of the BIM-driven equipment full life cycle intelligent management and control method described in the first aspect are implemented.

[0026] In a fifth aspect, the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the BIM-driven equipment full life cycle intelligent management and control method described in the first aspect are implemented.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] The present invention updates the BIM model according to the data changes in each time period during the entire life cycle of the equipment, and performs lightweight processing on the BIM model. On the basis of meeting the full life cycle management of the equipment, the cost of data processing, storage and transmission is reduced through lightweight processing. Specifically, when performing lightweight processing, by reducing the number of triangular meshes in repeated structures and pre-selected local structures in the BIM model, deleting the attribute information of preset types in the equipment model, and dynamically adjusting the accuracy of the equipment model according to the different time periods in which the equipment is located; taking into account the repeatability and importance of the structure in the BIM model, and the dynamic accuracy adjustment according to the equipment in different time periods, the problem of incomplete equipment data analysis caused by lightweight processing is avoided. On the basis of ensuring data processing accuracy, the requirements for storage capacity, data transmission capacity and performance are reduced, which promotes the application of BIM models in the full life cycle management of equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The drawings in the specification that constitute a part of this embodiment are used to provide a further understanding of this embodiment. The schematic embodiments of this embodiment and their descriptions are used to explain this embodiment and do not constitute improper limitations on this embodiment.

[0030] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0031] Figure 2 This is a schematic diagram of merging two triangular meshes into one according to Embodiment 1 of the present invention;

[0032] Figure 3 This is a schematic diagram of merging three triangular meshes of Example 1 of the present invention into one. DETAILED DESCRIPTION

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0035] The entire life cycle of the equipment refers to the period of time during which the equipment is planned, purchased, installed, operated, maintained, and scrapped.

[0036] Embodiment 1:

[0037] This embodiment provides a BIM-driven intelligent management and control method for the entire life cycle of equipment. By deeply integrating BIM technology with equipment management concepts, it realizes efficient and accurate management and control of the entire life cycle of equipment from planning, procurement, installation, operation, maintenance to scrapping. It realizes the integration, sharing and dynamic update of information at all stages of the equipment life cycle, improves the efficiency and accuracy of equipment management, reduces operating costs, and provides scientific decision-making support for equipment management. Figure 1 The method of this embodiment specifically includes:

[0038] S1. Obtain initial data of the BIM model.

[0039] Collect the data needed for modeling, including architectural, structural, mechanical and electrical design drawings, such as floor plans, elevations, sections, details, etc. The drawings include information such as the building's geometry, size, and structure.

[0040] The structure and appearance of the park will change during its use. For the sake of accuracy of BIM modeling data, first of all, high-precision measurement technology is used to collect data on the construction site, such as 3D laser scanning, drone aerial photography and laser ranging. This captures the actual situation on site and generates high-precision point cloud data or digital models to provide an accurate basis for subsequent comparison and correction.

[0041] Next, the collected field data is compared with the BIM model. Through 3DMax software, the field data can be imported into the model for accurate comparison and analysis. This process can find the differences between the model and the drawing, including errors in size, shape, position, etc., and modify the drawing to determine the final drawing information.

[0042] S2. Device sensor access.

[0043] The bandwidth calculation formula is used to make a preliminary calculation of the device distribution and the bandwidth of the sensor device:

[0044] Bandwidth = f2-f1

[0045] Among them, f2 and f1 are the frequencies at which the sensor output amplitude-frequency characteristic drops to -3dB and rises to -3dB, respectively.

[0046] Select the appropriate sensor based on the equipment characteristics, measurement parameters (such as temperature, pressure, displacement, etc.) and accuracy requirements. Also consider factors such as the sensor's durability and environmental adaptability.

[0047] According to the type of sensor and the actual needs of the building, select a suitable communication protocol, such as ZigBee, Bluetooth, Wi-Fi, etc. Each protocol has its specific application scenarios and advantages and disadvantages, and factors such as signal transmission distance, bandwidth, and energy consumption must be considered comprehensively.

[0048] Determine the length of each cable based on the building's structural layout and the sensor's installation location. Optionally, include the horizontal cabling length from the sensor to the nearest network access point (such as a switch, router, etc.), as well as the vertical cabling length that may be required (such as cabling across floors).

[0049] After completing the preliminary estimate, install sensors that meet the requirements according to the corresponding types of equipment. The following is a summary of the different types of sensors that need to be installed:

[0050] Table 1 Distribution of sensor types

[0051]

[0052]

[0053] S3, BIM and data collection driven.

[0054] Digitize the equipment's performance parameters, maintenance manuals, operating specifications and other documentation, and associate them with the BIM model to form an equipment information library containing multi-dimensional information.

[0055] The system is equipped with a three-level inspection function, and an inspection mechanism is established in the park. QR codes are configured at important points and scanned in combination with the APP to associate the location with the model. Optionally, the system defines the model primary key ID according to the following rules: Node naming rule ABPG_Floor_room_Equipment_Num.

[0056] Among them, A represents Building A; B represents Building B; P represents campus; G represents underground; Floor represents floor number; room represents room number, and outdoor is 0; Equipment represents equipment name; Num represents number, and floor type is represented by room number.

[0057] Table 2 Equipment correspondence table

[0058]

[0059]

[0060] If you need to inspect the air conditioner on the first floor, according to the above configuration rules, the corresponding rule of the air conditioner model is A_1_1_AirC_1. This ID will be uploaded during the QR code scanning. After uploading, the device will be associated with the device according to the device ID configured in A_1_1_AirC_1. Based on this ID, you can reversely locate the model position in the model engine according to the QueryPublicModelEngine (the interface for querying the model position according to the ID in the engine) interface, mark the color, and display it in the model simultaneously.

[0061] Establishment of network and floor lines: When drawing architectural design drawings and construction drawings, the network and floor are important bases. Lofting and column position judgment must rely on the grid to allow on-site construction personnel to find the correct position on the foundation. Floor lines are the basis for expressing floor heights, and also describe the positions of beams and columns, wall heights, and floor slab positions.

[0062] Import CAD documents: Import CAD files into BIM software so that you can directly reference or refer to CAD drawings during the modeling process.

[0063] Establish basic model: including modeling of architectural items (such as walls, doors, windows, stairs, etc.) and structural items (such as beams, columns, plates, etc.). Use parametric modeling to achieve association and automatic adjustment between architectural elements by setting parameters and constraints.

[0064] Mechanical and electrical project modeling: including modeling of complex systems such as electrical engineering system, weak current engineering system, water supply engineering system, drainage engineering system, fire engineering system, gas engineering system and air conditioning smoke exhaust system. According to the design drawings, gradually establish the BIM model of each system and ensure coordination with the building model and structural model.

[0065] Model refinement and adjustment: During the model construction process, the model is continuously refined and adjusted to ensure the accuracy and completeness of the model. Through collision detection and other means, conflicts in the model are discovered and resolved. When the BIM model needs to be integrated with IoT devices (such as sensors, actuators, etc.), it is necessary to ensure that the BIM software can communicate effectively with these devices. The optional communication protocol is Modbus: a communication protocol widely used in the industrial field, which can be used for data exchange between BIM software and IoT devices. The Modbus protocol defines the request and response format between devices, so that BIM software can send instructions to IoT devices and receive data returned by the devices. MQTT: a lightweight message transmission protocol, especially suitable for the field of Internet of Things (IoT). The MQTT protocol allows asynchronous communication between BIM software and IoT devices, and can ensure reliable data transmission even when the network is unstable. Through the MQTT protocol, BIM software can receive data sent by IoT devices in real time, such as temperature, humidity, pressure, etc. REST API: a Web service interface standard based on the HTTP protocol, which allows BIM software to exchange data with IoT devices through HTTP requests. The REST API provides a simple and flexible way to access and manipulate the data of IoT devices, making it easy for BIM software to integrate the functions of IoT devices.

[0066] S4, BIM lightweight processing.

[0067] During the entire life cycle of BIM-driven equipment, lightweight processing can be used to improve model processing efficiency, reduce storage and transmission costs, and ensure the effective application of models at different stages.

[0068] S4.1. Geometric simplification:

[0069] Optionally, mesh simplification algorithms are used to reduce the number of triangles in the model and remove unnecessary details, such as small decorative lines, repeated components, etc. This step aims to reduce the complexity of the model while maintaining its visual effect and geometric accuracy as much as possible.

[0070] S4.1.1. Determine the repetitive structure and preselect the local structure:

[0071] When determining duplicate structures, proceed in the order of comparing buildings, comparing building floors, and comparing equipment.

[0072] First, compare the overall size, building floors and number of internal rooms of the two buildings to see if they are equal; if they are equal, the buildings are judged to be repeated. For example, two buildings with equal functions built at the same time may have the same equipment age and operating conditions. At this time, only one of the buildings can be controlled, and its data analysis can provide a reliable basis for the other building; then, determine whether the number and type of equipment in the building are equal. If so, the two buildings are judged to be repeated structures. Finally, the equipment of all buildings is determined; specifically, according to the equipment model, operating years, actual operating time and working conditions, the equipment with the same model, operating years, actual operating time and working conditions is determined to be a repeated structure. Equipment with the same model, operating years, actual operating time and working conditions has the same or similar characteristics such as cost and failure rate, so only one of the equipment can be controlled, and its data can provide a strong reference for similar equipment.

[0073] According to the sensors on the actual equipment, the local models, local equipment or local components of the buildings, equipment or equipment, whose vibration signals, heat signals and power consumption are all less than the corresponding preset values, are judged as pre-selected local structures. Because when the vibration signals, heat signals and power consumption are all less than the corresponding preset values, it means that the corresponding buildings, equipment or local components of the equipment are not working or working less, and their damage is not obvious, so the significance of control is not great.

[0074] S4.1.2. Delete or merge triangular meshes:

[0075] For repeated structures, the triangular mesh is directly deleted. For local components, the damage risk value is calculated through vibration signals, heat signals and power consumption. If the damage risk value is greater than the preset value, the triangular mesh is merged, otherwise the triangular mesh is directly deleted; the damage risk value X is:

[0076]

[0077] Among them, a is the vibration signal of the collection part; a0 is the maximum vibration signal collected in the whole park; b is the heating temperature of the collection part; b0 is the maximum temperature collected in the whole park; c is the power consumption of the collection part; c0 is the overall power consumption of the park; α, β and γ are adjustment parameters, which can be set in advance according to different detection objects; It is the full life cycle transformation parameter, optional. It is a decimal greater than 0. As the equipment changes in the planning, procurement, installation, operation, maintenance and decommissioning timeline, Keep getting bigger.

[0078] When merging triangular meshes, the number of merged triangular meshes increases as the damage risk value decreases; for example, Figure 2 As shown in , merge the two triangle meshes into one, or, as Figure 3 As shown, three triangle meshes are merged into one.

[0079] S4.2, property optimization:

[0080] Optionally, simplify the attribute information of the objects in the model and retain only key attributes, such as equipment model, specification, manufacturer, etc. This step helps to reduce data redundancy and improve data validity and manageability.

[0081] S4.3, LOD (Level of Detail) adjustment:

[0082] Optionally, the accuracy and level of detail of the model can be dynamically adjusted according to the needs of different stages of the equipment life cycle. For example, a high-precision model may be required in the design stage to support complex design analysis, while the lightweight and fast loading capabilities of the model may be more important in the operation and maintenance stage.

[0083] S4.3.1. Adjustment based on structural classification:

[0084] Some pipeline equipment, door handles, wall fonts, etc. involve many faces, which will affect the loading performance. The system combines the simplified model with the texture in combination with the actual situation of the park to control the number of faces of a model within 2W to ensure the model loading performance and beautiful display. For example, the fonts on the wall have 12W faces before adjustment. The system combines the texture to control the number of faces to 200. Some equipment has many curved surfaces and some strip-shaped external style faces are about 2W each. The system simplifies the faces and performs style rendering with the texture, controlling the number of faces of a device to about 1000, greatly improving the model loading performance.

[0085] S4.3.1. Adjustment according to time stage:

[0086] As equipment moves through the planning, procurement, installation, operation, maintenance, and retirement timelines, the accuracy of the BIM model increases.

[0087] S5. Data processing and analysis.

[0088] BIM-driven equipment life cycle data processing and analysis involves multiple formulas, which are usually used in performance evaluation, failure prediction, cost analysis and other aspects.

[0089] S5.1. Efficiency evaluation:

[0090] The operating efficiency of the equipment can be calculated by the ratio of actual output to theoretical output, such as efficiency = actual output / theoretical output × 100%.

[0091] S5.2, Energy consumption assessment:

[0092] Evaluating the energy consumption performance of equipment may involve calculating the energy consumption per unit time, such as energy consumption = power × time, and further calculating the energy consumption per unit output, such as energy consumption per unit output = total energy consumption / total output.

[0093] S5.3, Failure rate prediction:

[0094] Based on historical failure data and equipment operating time, statistical models (such as exponential distribution, Weibull distribution, etc.) can be used to predict the failure rate at a certain point in the future, such as using the probability density function of the Weibull distribution.

[0095] The system combines the equipment maintenance function to automatically generate equipment maintenance content and plans in regular time periods according to the equipment maintenance cycle, and generates a maintenance plan after a device completes maintenance. At the same time, cooperate with the APP to complete the filling of equipment maintenance content, and complete the filling of equipment failure in the APP of the equipment with problems. According to the above formula combined with the actual content, the following contents can be calculated:

[0096] A (annual, quarterly, and quarterly equipment maintenance rate) = B (number of equipment maintained this year, quarter, and quarter) / C (total number of equipment). D (monthly equipment failure rate) = E (number of equipment that failed this month) / b (total number of equipment maintained this month). F General equipment annual failure forecast = D1-12 / 12. Since air conditioners, water pipes and other equipment have seasonal failures and the distribution is uneven, the forecast is based on the quarter. G Specific equipment failure rate = H (specific quarterly failure rate) / 3.

[0097] S5.4. Total cost calculation: The life cycle cost of the equipment includes purchase cost, installation cost, operation cost, maintenance cost and scrapping cost, etc. The total cost can be calculated by adding up these individual costs, such as total cost = purchase cost + installation cost + Σ(operating cost_i) + Σ(maintenance cost_j) + scrapping cost.

[0098] The above formula is combined with the actual content of the APP and the park, and the formula is optimized as follows: A (total cost calculation) = B (equipment amount of equipment management module) + C (equipment management module cost) + D (equipment power consumption in collected data) + E (equipment maintenance times in equipment maintenance * labor cost).

[0099] By combining various applications of the full life cycle management of campus equipment, the total equipment cost can be calculated and displayed in the model in combination with the model definition.

[0100] S6. Equipment control.

[0101] Control the equipment according to performance evaluation, fault prediction and cost analysis; for example, when the performance of the equipment is lower than the preset requirements, and / or there is a possibility of failure, and / or the cost exceeds the preset cost, consider replacing, repairing or disposing of the equipment.

[0102] Embodiment 2:

[0103] This embodiment provides a BIM-driven equipment full life cycle intelligent management and control system, including:

[0104] The data acquisition module is configured to: obtain relevant data of buildings in the park and relevant data of all equipment in the buildings;

[0105] The BIM model building module is configured to: build a BIM model according to relevant data of the building and relevant data of the equipment;

[0106] The data updating and lightweight processing module is configured to: update the BIM model according to the data changes in each time period of the equipment during the whole life cycle; and perform lightweight processing on the BIM model; wherein, when performing lightweight processing, the number of triangular meshes in repeated structures and pre-selected local structures in the BIM model is reduced, attribute information of preset types in the equipment model is deleted, and the accuracy of the equipment model is dynamically adjusted according to the different time periods in which the equipment is located;

[0107] The management and control module is configured to: analyze the equipment based on the updated and lightweight BIM model; and perform equipment management and control according to the analysis results.

[0108] The working method of the system is the same as the BIM-driven intelligent management and control method for the entire life cycle of equipment in Example 1, and will not be repeated here.

[0109] Embodiment 3:

[0110] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the BIM-driven equipment full life cycle intelligent management and control method described in Example 1 are implemented.

[0111] Embodiment 4:

[0112] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the program, the steps of the BIM-driven equipment full life cycle intelligent management and control method described in Example 1 are implemented.

[0113] Embodiment 5:

[0114] This embodiment provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the BIM-driven equipment full life cycle intelligent management and control method described in Example 1 are implemented.

[0115] The above description is only a preferred embodiment of the present embodiment and is not intended to limit the present embodiment. For those skilled in the art, the present embodiment may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present embodiment shall be included in the protection scope of the present embodiment.

Claims

1. A BIM-driven intelligent management and control method for the entire life cycle of equipment, characterized in that: include: Obtain relevant data of buildings in the park and relevant data of all equipment in the buildings; Establish a BIM model based on the relevant data of the building and the relevant data of the equipment; The BIM model is updated according to the data changes of the equipment in each time period during the whole life cycle; and the BIM model is lightweighted; wherein, when lightweighting, the number of triangular meshes in the repeated structure and pre-selected local structure in the BIM model is reduced, the attribute information of the preset type in the equipment model is deleted, and the accuracy of the equipment model is dynamically adjusted according to the different time periods of the equipment; Analyze the equipment based on the updated and lightweight BIM model; manage and control the equipment according to the analysis results.

2. A BIM-driven equipment full life cycle intelligent management and control method as claimed in claim 1, characterized in that: Compare the overall size, number of floors and internal rooms of two buildings to see if they are equal. If they are equal, the buildings are considered duplicates. Then, it is determined whether the number and types of equipment in the building are equal. If so, the two buildings are determined to be duplicate structures. The equipment of all buildings is determined, and the equipment with the same model, operating years, actual operating time and working conditions is determined to be a duplicate structure. A local model, local equipment or local component of the equipment whose vibration signal, heating signal and power consumption are all smaller than corresponding preset values ​​is determined to be a preselected local structure.

3. A BIM-driven equipment full life cycle intelligent management and control method as claimed in claim 1, characterized in that: For repeated structures, the triangular meshes are directly deleted; for local components, the damage risk value is calculated through vibration signals, heat signals and power consumption. If the damage risk value is greater than the preset value, the triangular meshes are merged, otherwise the triangular meshes are directly deleted.

4. A BIM-driven equipment full life cycle intelligent management and control method as claimed in claim 3, characterized in that: The loss risk value X is: Among them, a is the vibration signal of the collection location; a0 is the maximum vibration signal collected in the entire park; b is the heating temperature of the collection location; b0 is the maximum temperature collected in the entire park; c is the power consumption of the collection location; c0 is the overall power consumption of the park; α, β and γ are adjustment parameters; Transform parameters for the entire life cycle.

5. A BIM-driven equipment full life cycle intelligent management and control method as claimed in claim 1, characterized in that: Preserve the equipment model, specifications and manufacturer in the equipment attribute information; control the number of faces of piping equipment, door handles and wall fonts in the building within the preset number; and improve the accuracy of the BIM model as the equipment changes on the planning, procurement, installation, operation, maintenance and scrapping timeline.

6. A BIM-driven equipment full life cycle intelligent management and control method as claimed in claim 1, characterized in that: Analyze the data of the entire life cycle of the equipment, and conduct performance evaluation, fault prediction and cost analysis according to multiple formulas; manage and control the equipment based on performance evaluation, fault prediction and cost analysis.

7. A BIM-driven equipment full life cycle intelligent management and control system, characterized in that: include: The data acquisition module is configured to: obtain relevant data of buildings in the park and relevant data of all equipment in the buildings; The BIM model building module is configured to: build a BIM model according to relevant data of the building and relevant data of the equipment; The data updating and lightweight processing module is configured to: update the BIM model according to the data changes in each time period of the equipment during the whole life cycle; and perform lightweight processing on the BIM model; wherein, when performing lightweight processing, the number of triangular meshes in repeated structures and pre-selected local structures in the BIM model is reduced, attribute information of preset types in the equipment model is deleted, and the accuracy of the equipment model is dynamically adjusted according to the different time periods in which the equipment is located; The management and control module is configured to: analyze the equipment based on the updated and lightweight BIM model; and perform equipment management and control according to the analysis results.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the BIM-driven equipment full life cycle intelligent management and control method as described in any one of claims 1 to 6 are implemented.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor executes the program, the steps of the BIM-driven equipment full life cycle intelligent management and control method as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the BIM-driven equipment full life cycle intelligent management and control method as described in any one of claims 1 to 6 are implemented.

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