Intelligent medical equipment integration system and operation method

Abstract

The invention provides an intelligent medical equipment integration system which comprises a three-dimensional digital design module which is based on a building information model technology, is used for constructing a three-dimensional model of a medical building, and accurately simulates the layout of equipment, reserved holes, pipeline interface positions and a relative spatial position relation. According to the invention, a three-dimensional digital design module, a construction auxiliary module, an integrated installation and debugging module, an intelligent diagnosis module, a cloud operation and maintenance module and a big data analysis module are utilized to realize full-process intelligent management of medical equipment from design, installation to operation and maintenance. By means of the building information model technology and the Internet of Things technology, efficient equipment layout, precise construction, automatic equipment calibration and debugging can be achieved, the operation state of the equipment can be monitored in real time, and predictive maintenance suggestions are provided through big data analysis. The equipment installation precision and efficiency are improved, manual intervention is reduced, the service life of the equipment is prolonged, and the management level of the medical equipment is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment integration, and in particular to an intelligent medical equipment integration system and an operation method. Background Art

[0002] With the continuous development of medical technology and the advancement of modern hospital construction, medical equipment is being used more and more widely in hospitals, and the types, quantity and complexity of equipment are also increasing. In order to ensure that medical equipment can operate efficiently, stably and safely, the installation and management of equipment face huge challenges. Traditional equipment installation and commissioning usually rely on manual operation. During the construction process, problems such as inaccurate docking between equipment and building structure and unreasonable layout of pipeline interfaces may occur, resulting in a long equipment installation cycle and frequent failures, affecting the normal use of the equipment.

[0003] In recent years, with the maturity of building information modeling technology and the rapid development of technologies such as the Internet of Things, big data, and intelligent robots, how to use these technologies to improve the efficiency of equipment integration and installation, improve construction accuracy, and strengthen equipment operation, maintenance, and management has become the focus of attention in the industry. However, the existing system still has many deficiencies in equipment layout design, construction accuracy, equipment docking, and automation of debugging, resulting in a low level of intelligence in the overall equipment management system, which cannot fully realize efficient management and maintenance of the entire life cycle of the equipment. Summary of the invention

[0004] Based on the above background, the purpose of the present invention is to provide an intelligent medical equipment integration system and operation method to solve the problems existing in the background technology, such as unreasonable medical equipment layout design, insufficient construction accuracy, low degree of automation in equipment docking and debugging, and low efficiency of equipment operation and maintenance.

[0005] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

[0006] An intelligent medical equipment integration system, comprising:

[0007] The three-dimensional digital design module is based on building information modeling technology and is used to construct a three-dimensional model of the medical building. It accurately simulates the layout of equipment, reserved holes, pipeline interface locations and their relative spatial position relationships to ensure the rationality of equipment layout and the accuracy of pipeline connections.

[0008] A construction assistance module receives the design plan from the three-dimensional digital design module through a digital data interface, and executes the reservation of equipment points, the laying of pipelines and the drilling of holes through an intelligent robot control unit and automated construction equipment, thereby ensuring the precise connection of equipment points, pipeline interfaces and building structures, and reducing manual construction errors;

[0009] An integrated installation and debugging module receives the location information and construction status from the construction auxiliary module through a data interface, and is used for rapid identification, automatic docking and installation of equipment, ensuring accurate position matching between the equipment and the pipeline interface, and using the automatic debugging function to complete preliminary detection and adjustment of the equipment operation status, thereby shortening the equipment installation cycle;

[0010] Intelligent diagnostic module, which is connected to the integrated installation and debugging module through a two-way data interface, monitors the operating status of the equipment and its connection status with the pipeline interface in real time, automatically detects equipment failures or wiring anomalies, provides fault location and preliminary debugging support, and improves the debugging efficiency of the system;

[0011] Cloud operation and maintenance module, which receives the equipment status and fault data from the intelligent diagnosis module through the data interface, monitors the equipment's operating status 24 hours a day through the Internet of Things technology, collects and stores the equipment's real-time and historical operating data and interface connection status, ensures that the equipment status is known and controllable in real time, and any abnormality can be alarmed and remotely operated and maintained through the cloud;

[0012] The big data analysis module receives the operation data from the cloud operation and maintenance module through the cloud data interface, and is used to analyze the operation data of the equipment and the connection status between the equipment, conduct in-depth mining based on the collected real-time and historical data, predict potential failures, generate preventive maintenance plans, and make maintenance recommendations to extend the service life of the equipment.

[0013] Furthermore, the three-dimensional digital design module includes a building information model database and an equipment library. The building information model database stores structural information of medical buildings, and the equipment library stores three-dimensional models and interface data of various types of equipment to support rapid calling and spatial simulation during equipment layout.

[0014] Furthermore, the construction assistance module includes an intelligent robot control unit, automated construction equipment and a real-time monitoring sensor management unit. The intelligent robot control unit and automated construction equipment perform pipeline laying and equipment point positioning operations. The real-time monitoring sensor is used to detect the distance deviation between the equipment and the building structure during the construction process to ensure construction accuracy.

[0015] Furthermore, the integrated installation and debugging module includes an automatic calibration unit and a device identification unit. The automatic calibration unit is used to adjust the docking accuracy between the device and the pipeline interface. The device identification unit quickly identifies the type of equipment and installation requirements through QR code or RFID technology to ensure the automation and accuracy of the installation process.

[0016] Furthermore, the big data analysis module is provided with a data visualization function, which displays the equipment operation status and historical data through a graphical interface. The predictive maintenance function generates a maintenance plan according to the equipment operation and failure mode, and provides optimized equipment maintenance suggestions.

[0017] An operation method is as follows:

[0018] S1. Use the 3D digital design module to build a 3D model of the medical building, determine the installation location of the equipment, reserve holes and pipeline interfaces, and output the design plan;

[0019] S2. Use the construction auxiliary module to control the intelligent robot and automated construction equipment to perform equipment point reservation, pipeline laying and hole drilling according to the design plan;

[0020] S3. Use the integrated installation and debugging module to receive the location information of the construction auxiliary module, automatically connect the equipment and pipeline interface, and adjust the equipment connection accuracy;

[0021] S4, monitor the operating status of the equipment in real time through the intelligent diagnosis module, detect equipment failure or abnormality, and provide fault location and preliminary debugging;

[0022] S5. Use the cloud operation and maintenance module to monitor the equipment 24 hours a day, store the real-time and historical data of the equipment, and perform fault alarms and remote operation and maintenance;

[0023] S6. Analyze the equipment’s operating data through the big data analysis module, predict potential failures, generate preventive maintenance plans, and provide maintenance recommendations.

[0024] Furthermore, the construction assistance module detects deviations in pipeline laying and equipment point positioning through a real-time monitoring sensor management unit to ensure that the distance deviation between the equipment and the building structure is within a predetermined allowable range during the construction process.

[0025] Combined with the above technical solutions, the beneficial effects brought by the present invention are analyzed as follows:

[0026] First, through the three-dimensional digital design module, the equipment layout and pipeline interface of the medical building can be accurately modeled and simulated to ensure the accuracy of the design. This solution based on building information modeling technology makes the layout of medical equipment reasonable and the interface position accurate. It can foresee potential problems before construction, optimize the entire process, and avoid repeated adjustments and errors in traditional design. This process significantly improves the efficiency and construction quality of installation, ensuring a more reasonable equipment layout and more accurate construction.

[0027] During the construction process, the intelligent robot control unit and automated construction equipment perform tasks such as reserved points and pipeline laying through the construction auxiliary module, which greatly reduces the errors of manual operation and improves the accuracy and efficiency of construction. The introduction of intelligent robots and automated construction equipment makes the entire construction process more accurate, especially in the docking of medical equipment and building structures. The construction accuracy is detected through the real-time monitoring sensor management unit, which ensures the accuracy of each equipment point and interface position and reduces the equipment installation cycle.

[0028] During the installation and commissioning phase, the integrated installation and commissioning module is used to automatically connect the medical equipment and pipeline interfaces. The equipment identification technology and automatic calibration function are used to reduce manual intervention and achieve rapid installation. The automatic commissioning function can detect the operating status of the equipment in real time and make preliminary adjustments to ensure the rapid startup and stable operation of the equipment after installation. This automated installation and commissioning not only reduces the possibility of errors, but also significantly shortens the installation and commissioning time and improves overall work efficiency.

[0029] During the operation of the equipment, the intelligent diagnosis module monitors the equipment status in real time, detects faults or anomalies in time, locates problems and provides preliminary debugging support, which greatly improves the efficiency of fault handling. The cloud operation and maintenance module is combined with the intelligent diagnosis module to achieve 24-hour equipment monitoring. Through the Internet of Things technology, the system can automatically collect real-time data from the equipment and send alarms through the cloud in abnormal situations to ensure that equipment problems can be discovered and resolved in the first place, reducing downtime caused by equipment failures and ensuring the normal operation of the hospital.

[0030] In addition, the big data analysis module can predict potential equipment failures based on the real-time and historical operation data of the equipment and formulate preventive maintenance plans in advance. This predictive maintenance effectively reduces the failure rate of equipment, extends the service life of equipment, and reduces maintenance costs. This data-driven predictive maintenance plan can significantly improve the accuracy of equipment management, optimize the allocation of maintenance resources in the hospital, and avoid sudden failures of equipment under high load.

[0031] The present invention comprehensively improves the design, installation, debugging, monitoring and maintenance of medical equipment through automated, intelligent and data-based technical means, and realizes efficient management of the entire life cycle of the equipment. It not only improves the accuracy and efficiency of equipment installation and reduces the risk of errors in manual operation, but also reduces equipment failure time through real-time monitoring and intelligent diagnosis, extends the service life of the equipment, and greatly optimizes the management and maintenance process of the equipment. The invention can help hospitals significantly improve operational efficiency and ensure the safe and stable operation of medical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1It is a system architecture diagram of the present invention;

[0033] Figure 2 It is a block diagram of the three-dimensional digital design module management system of the present invention;

[0034] Figure 3 It is a block diagram of the construction auxiliary module management system of the present invention;

[0035] Figure 4 It is a block diagram of the integrated installation and debugging module management system of the present invention;

[0036] Figure 5 is a block diagram of the intelligent diagnosis module management system of the present invention;

[0037] Figure 6 It is a block diagram of the cloud operation and maintenance module management system of the present invention;

[0038] Figure 7 It is a block diagram of the big data analysis module management system of the present invention;

[0039] Figure 8 It is an operation flow chart of the present invention.

[0040] In the figure: 1. Three-dimensional digital design module; 101. Building information model database; 102. Equipment library; 2. Construction auxiliary module; 201. Intelligent robot control unit; 202. Automated construction equipment; 203. Real-time monitoring sensor management unit; 3. Integrated installation and debugging module; 301. Equipment identification unit; 302. Automatic calibration unit; 303. Automatic debugging unit; 4. Intelligent diagnosis module; 401. Real-time monitoring system; 402. Fault detection and positioning system; 403. Preliminary debugging system; 5. Cloud operation and maintenance module; 501. Real-time monitoring and data acquisition system; 502. Cloud alarm system; 503. Remote operation and maintenance and debugging system; 6. Big data analysis module; 601. Data collection and storage system; 602. Predictive maintenance analysis system; 603. Data visualization and report generation system. DETAILED DESCRIPTION

[0041] like Figure 1 As shown, the present invention provides an intelligent medical equipment integration system, including a three-dimensional digital design module, a construction auxiliary module, an integrated installation and debugging module, an intelligent diagnosis module, a cloud operation and maintenance module and a big data analysis module.

[0042] The functional principles of each module in the present invention are described in detail below:

[0043] 1. Three-dimensional digital design module

[0044] like Figure 2As shown in the figure, the 3D digital design module is the starting point of the entire system. Its core function is to perform 3D design of medical buildings through building information modeling technology and apply these design data to equipment layout and pipeline planning. Its principles mainly include the following aspects:

[0045] (1) Building Information Model Database

[0046] The 3D digital design module contains a building information model database that stores detailed structural information of medical buildings, including wall thickness, floor height, room layout, pipeline layout, etc. This information can be called by the system to help designers visualize the building structure in a 3D environment and plan the specific location of medical equipment.

[0047] (2) Equipment Library

[0048] The equipment library contains 3D models and interface data of various medical devices, including the physical size, weight, power supply requirements, communication interface type, etc. The equipment library supports the rapid calling of medical equipment models and simulates the installation and docking of equipment in a 3D design environment, ensuring that the installation requirements of the equipment and the location of pipeline interfaces can be considered during the design phase.

[0049] (3) Accurate layout design

[0050] Through building information modeling technology, the system can accurately design the layout of equipment in a three-dimensional virtual environment, simulate the space occupation of equipment and its relationship with the building structure. At the same time, the three-dimensional design can also simulate the docking position of equipment and pipeline interfaces, ensuring that the design plan is not only reasonable and beautiful, but also can be effectively implemented in actual construction.

[0051] 2. Construction auxiliary module

[0052] like Figure 3 As shown in the figure, the construction assistance module uses intelligent robots and automated equipment to perform specific construction tasks in the design plan. Its functional principles are mainly reflected in the following aspects:

[0053] (1) Intelligent robot control unit and automated construction equipment

[0054] The construction assistance module receives the output data of the 3D design module through a digital interface. The intelligent robot control unit and automated construction equipment complete the equipment point reservation, pipeline laying and hole drilling according to the design plan. The intelligent robot control unit and automated construction equipment can ensure that the robot performs the construction task according to the preset coordinates and reduce human errors.

[0055] (2) Automated construction

[0056] Intelligent robot control units and automated construction equipment automatically perform construction tasks according to the design plan, such as laying pipelines, installing pipeline interfaces, drilling holes in walls or floors, etc. The introduction of intelligent robot control units and automated equipment not only improves construction accuracy, but also speeds up construction.

[0057] (3) Real-time monitoring sensor management unit

[0058] The construction assistance module also integrates a real-time monitoring sensor management unit to monitor the distance deviation between the equipment and the building structure during the construction process to ensure construction accuracy. During the construction process, the sensor can measure the distance between the equipment reserved point and the actual building structure in real time, automatically adjust the construction parameters, and strictly match the equipment installation position with the design plan.

[0059] 3. Integrated installation and debugging module

[0060] like Figure 4 As shown, the integrated installation and debugging module is mainly used to automatically dock and install medical equipment and perform preliminary automatic debugging. Its working principle includes the following aspects:

[0061] (1) Device identification unit

[0062] The integrated installation and debugging module quickly identifies the type and installation requirements of medical equipment through QR code or RFID technology. Each device is equipped with a unique identification code when it is manufactured in the factory. When installing, the device identification unit scans the identification code, and the system can automatically retrieve the installation instructions and specific parameters of the device to ensure that the device is installed in the correct location.

[0063] (2) Automatic calibration unit

[0064] In order to ensure the precise connection between the equipment and the building structure and pipeline interface, the automatic calibration unit adjusts the installation angle, position and height of the equipment according to the coordinate position in the design plan. This process reduces the error of manual calibration and speeds up the installation.

[0065] (3) Automatic debugging unit

[0066] After the equipment is installed, the integrated installation and debugging module performs preliminary operation detection on the equipment through the automatic debugging unit. The system will test the equipment's power connection, communication interface, pipeline interface, etc. to ensure that all interfaces are connected normally and the equipment can be in the best working condition before being put into use. Automatic debugging greatly reduces debugging time and reduces the probability of errors.

[0067] 4. Intelligent diagnosis module

[0068] like Figure 5As shown in the figure, the main function of the intelligent diagnosis module is to monitor the operating status of the equipment in real time, automatically detect equipment failures and provide preliminary debugging support. Its working principle includes:

[0069] (1) Real-time monitoring system

[0070] The intelligent diagnosis module is connected to the integrated installation and debugging module through a two-way data interface to obtain real-time information on the equipment's operating status, including power supply, communication status, equipment temperature, workload, etc. The monitoring system can promptly detect abnormal phenomena in equipment operation, such as equipment overheating, insufficient power, or communication failure.

[0071] (2) Fault detection and location system

[0072] Once a device fails, the intelligent diagnosis module can automatically detect the cause of the failure and locate the fault based on operating data and historical data. For example, if the power output of the device is found to be abnormal, the system can track the power line or power supply module of the device and quickly determine the fault point.

[0073] (3) Preliminary debugging of the system

[0074] The intelligent diagnosis module also has a preliminary debugging function. After locating the fault, the system can automatically perform a certain degree of debugging operations, such as restarting the device, checking the connection line or switching the backup power supply, thereby reducing the frequency and time of manual intervention and improving the efficiency of fault handling.

[0075] 5. Cloud operation and maintenance module

[0076] like Figure 6 As shown in the figure, the cloud operation and maintenance module uses the Internet of Things technology to achieve 24-hour uninterrupted monitoring of medical equipment and supports remote maintenance and management. Its functional principles are as follows:

[0077] (1) Real-time monitoring and data acquisition system

[0078] The cloud operation and maintenance module connects to the equipment through the Internet of Things technology to collect the equipment's operating data in real time, including operating load, interface status, historical fault records, etc. These data are uploaded to the remote server through the cloud interface, allowing managers to check the equipment's operating status at any time.

[0079] (2) Cloud Alarm System

[0080] When a device fails, the cloud operation and maintenance module can trigger an alarm mechanism through the real-time monitoring system and send the device failure information to the cloud maintenance center. The alarm system can not only notify maintenance personnel immediately, but also analyze the historical failure data of the device to help quickly troubleshoot the failure.

[0081] (3) Remote operation, maintenance and debugging system

[0082] The cloud operation and maintenance module supports remote operation and maintenance and debugging functions. Through cloud connection, maintenance personnel can remotely operate the equipment, perform system restart, parameter modification and other operations, reducing the timeliness of equipment maintenance and the workload of on-site maintenance.

[0083] 6. Big data analysis module

[0084] like Figure 7 As shown in the figure, the function of the big data analysis module is to provide equipment health status reports and predictive maintenance suggestions by conducting in-depth analysis of equipment operation data. Its working principles include:

[0085] (1) Data collection and storage system

[0086] The big data analysis module obtains the real-time and historical operation data of the equipment through the cloud interface, including the working status, fault records, usage frequency, etc. All data are stored in the cloud database for analysis algorithm to call.

[0087] (2) Predictive maintenance analysis system

[0088] The big data analysis module can predict possible equipment failures by analyzing the equipment's operating trends and historical failure modes. For example, the system can analyze the equipment's workload and usage frequency to predict the risk of equipment failure under high load. Based on these analyses, the system can generate preventive maintenance plans in advance to reduce the impact of sudden failures on equipment operation.

[0089] (3) Data visualization and report generation system

[0090] The big data analysis module has data visualization function, which can display the operation status and historical data of the equipment through a graphical interface. At the same time, the system can automatically generate equipment operation reports, provide maintenance personnel with management suggestions for optimizing equipment, and help hospitals improve overall equipment maintenance efficiency.

[0091] The following describes the operation steps of the present invention in detail: Figure 8 As shown:

[0092] 1. Three-dimensional design stage

[0093] Step S1: Design model construction

[0094] Using the 3D digital design module, the system first builds a 3D model of the medical building based on the building information model database. During this process, designers can quickly call the medical equipment model in the equipment library through this module and simulate the layout and space occupancy of the equipment in a 3D environment. Ensure that the reserved points, pipeline interfaces and holes of all equipment are arranged reasonably, and check whether the connection between the equipment and the building structure is accurate through simulation.

[0095] 2. Construction phase

[0096] Step S2: Construction plan execution

[0097] After the design plan is completed, the construction auxiliary module receives the data output by the 3D digital design module and automatically controls the intelligent robot and automated construction equipment to reserve equipment points, lay pipelines and drill holes. During the construction process, the real-time monitoring sensor management unit will monitor the accuracy of the construction to ensure that the installation location of the equipment is completely consistent with the design plan.

[0098] 3. Equipment installation and debugging stage

[0099] Step S3: Equipment automated installation

[0100] After the construction is completed, the integrated installation and commissioning module is responsible for the automated installation of the equipment. Through the equipment identification unit, the system scans the equipment's identification code, automatically retrieves the equipment's installation requirements, and controls the installation process. The automatic calibration unit adjusts the equipment's installation angle and docking accuracy according to the design plan to ensure accurate docking of the equipment with the building structure and pipeline interface.

[0101] Step S4: Automatic debugging

[0102] After the equipment is installed, the integrated installation and debugging module starts the automatic debugging function to conduct preliminary inspection and adjustment of the equipment, including the inspection of power connection, communication interface, and pipeline interface to ensure that the equipment can operate normally. This step greatly reduces the time and possibility of error in manual debugging.

[0103] 4. Equipment monitoring and diagnosis stage

[0104] Step S5: Equipment operation monitoring and fault diagnosis

[0105] After the system enters the operation phase, the intelligent diagnosis module monitors the operation status of the equipment in real time through a two-way data interface. The module automatically detects abnormal conditions in the operation of the equipment, such as insufficient power, overheating, or communication interruption, locates the problem, and automatically performs preliminary debugging operations, such as restarting the equipment or switching the power supply.

[0106] 5. Cloud monitoring and operation and maintenance stage

[0107] Step S6: Cloud operation and maintenance and fault alarm

[0108] The cloud operation and maintenance module continuously monitors the equipment 24 hours a day through the Internet of Things technology and collects the equipment's operating data. When an equipment abnormality or failure occurs, the cloud operation and maintenance module will notify the maintenance center of the failure information through the alarm system and support maintenance personnel to debug and troubleshoot the equipment through remote connection. This step reduces the time and cost of on-site maintenance.

[0109] 6. Data analysis and maintenance suggestion stage

[0110] Step S7: Equipment big data analysis and predictive maintenance

[0111] The big data analysis module provides equipment health status reports and predictive maintenance plans by analyzing equipment operation data collected by the cloud operation and maintenance module. By analyzing equipment workload, usage frequency, and historical failure modes, the system can predict possible equipment failures and generate maintenance plans in advance to ensure long-term stable operation of the equipment.

[0112] The present invention utilizes a three-dimensional digital design module, a construction auxiliary module, an integrated installation and debugging module, an intelligent diagnosis module, a cloud operation and maintenance module, and a big data analysis module to realize intelligent management of the entire process of medical equipment from design, installation to operation and maintenance. Through building information modeling technology and Internet of Things technology, the present invention can efficiently layout equipment, accurately construct, automatically calibrate and debug equipment, monitor its operating status in real time, and provide predictive maintenance suggestions through big data analysis. The present invention improves the accuracy and efficiency of equipment installation, reduces manual intervention, extends the service life of equipment, and significantly improves the management level of medical equipment.

Claims

1. An intelligent medical equipment integration system, characterized in that: The intelligent medical equipment integration system includes: The three-dimensional digital design module is based on building information modeling technology and is used to construct a three-dimensional model of the medical building. It accurately simulates the layout of equipment, reserved holes, pipeline interface locations and their relative spatial position relationships to ensure the rationality of equipment layout and the accuracy of pipeline connections. A construction assistance module receives the design plan from the three-dimensional digital design module through a digital data interface, and executes the reservation of equipment points, the laying of pipelines and the drilling of holes through intelligent robots and automated construction equipment, thereby ensuring the precise connection of equipment points, pipeline interfaces and building structures, and reducing manual construction errors; An integrated installation and debugging module receives the location information and construction status from the construction auxiliary module through a data interface, and is used for rapid identification, automatic docking and installation of equipment, ensuring accurate position matching between the equipment and the pipeline interface, and using the automatic debugging function to complete preliminary detection and adjustment of the equipment operation status, thereby shortening the equipment installation cycle; Intelligent diagnostic module, which is connected to the integrated installation and debugging module through a two-way data interface, monitors the operating status of the equipment and its connection status with the pipeline interface in real time, automatically detects equipment failures or wiring anomalies, provides fault location and preliminary debugging support, and improves the debugging efficiency of the system; Cloud operation and maintenance module, which receives the equipment status and fault data from the intelligent diagnosis module through the data interface, monitors the equipment's operating status 24 hours a day through the Internet of Things technology, collects and stores the equipment's real-time and historical operating data and interface connection status, ensures that the equipment status is known and controllable in real time, and any abnormality can be alarmed and remotely operated and maintained through the cloud; The big data analysis module receives the operation data from the cloud operation and maintenance module through the cloud data interface, and is used to analyze the operation data of the equipment and the connection status between the equipment, conduct in-depth mining based on the collected real-time and historical data, predict potential failures, generate preventive maintenance plans, and make maintenance recommendations to extend the service life of the equipment.

2. The intelligent medical equipment integration system according to claim 1, characterized in that: The three-dimensional digital design module includes a building information model database and an equipment library. The building information model database stores the structural information of the medical building, and the equipment library stores the three-dimensional models and interface data of various types of equipment to support rapid calling and spatial simulation during equipment layout.

3. The intelligent medical equipment integration system according to claim 2, characterized in that: The construction assistance module includes an intelligent robot control unit, automated construction equipment and a real-time monitoring sensor management unit. The intelligent robot control unit and automated construction equipment perform pipeline laying and equipment point positioning operations. The real-time monitoring sensor is used to detect the distance deviation between the equipment and the building structure during the construction process to ensure construction accuracy.

4. The intelligent medical equipment integration system according to claim 3, characterized in that: The integrated installation and debugging module includes an automatic calibration unit and a device identification unit. The automatic calibration unit is used to adjust the docking accuracy between the device and the pipeline interface. The device identification unit quickly identifies the type of equipment and installation requirements through QR code or RFID technology to ensure the automation and accuracy of the installation process.

5. The intelligent medical equipment integration system according to claim 4, characterized in that: The big data analysis module is provided with a data visualization function, which displays the equipment operation status and historical data through a graphical interface. The predictive maintenance function generates a maintenance plan according to the equipment operation and failure mode, and provides optimized equipment maintenance suggestions.

6. An operating method, characterized in that: S1. Use the 3D digital design module to build a 3D model of the medical building, determine the installation location of the equipment, reserve holes and pipeline interfaces, and output the design plan; S2. Use the construction auxiliary module to control the intelligent robot and automated construction equipment to perform equipment point reservation, pipeline laying and hole drilling according to the design plan; S3. Use the integrated installation and debugging module to receive the location information of the construction auxiliary module, automatically connect the equipment and pipeline interface, and adjust the equipment connection accuracy; S4, monitor the operating status of the equipment in real time through the intelligent diagnosis module, detect equipment failure or abnormality, and provide fault location and preliminary debugging; S5. Use the cloud operation and maintenance module to monitor the equipment 24 hours a day, store the real-time and historical data of the equipment, and perform fault alarms and remote operation and maintenance; S6. Analyze the equipment’s operating data through the big data analysis module, predict potential failures, generate preventive maintenance plans, and provide maintenance recommendations.

7. The operating method according to claim 6, characterized in that: The construction assistance module detects deviations in pipeline laying and equipment point positioning through a real-time monitoring sensor management unit to ensure that the distance deviation between the equipment and the building structure is within a predetermined allowable range during the construction process.

Images