Intelligent medical air compression pipe network energy-saving device and control method

By using an intelligent medical compressed air pipeline energy-saving device, dynamically adjusting the electric pressure regulating valve and the central control device, the problem of high energy consumption in medical compressed air systems has been solved, enabling on-demand air supply and pipeline anomaly diagnosis, thereby improving the system's energy efficiency and stability.

CN121876366APending Publication Date: 2026-04-17SHENZHEN HUAJIAN CONSTR GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN HUAJIAN CONSTR GRP CO LTD
Filing Date
2025-12-31
Publication Date
2026-04-17

AI Technical Summary

Technical Problem

Existing medical compressed air systems employ constant high-pressure redundant air supply to cope with fluctuations in air demand, resulting in high energy consumption. Furthermore, existing energy-saving solutions rarely involve optimization of the overall pipeline transmission process.

Method used

The system employs an intelligent medical compressed air pipeline energy-saving device, which includes a pipeline monitoring component, a pressure regulating component, and a central control device. By monitoring and calculating the pressure data of each floor in real time, it dynamically adjusts the opening of the electric pressure regulating valve. Combined with the comparison mechanism between theoretical pressure drop and measured pressure drop, it achieves proactive on-demand gas supply and pipeline anomaly diagnosis.

Benefits of technology

While ensuring the safety of gas pressure at the end of medical applications, the work load of the air compressor unit is reduced to achieve energy-saving benefits and improve the stability and reliability of gas supply.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an intelligent medical air compression pipe network energy-saving device and a control method. The intelligent medical air compression pipe network energy-saving device comprises a pipe network monitoring assembly, a pressure adjusting assembly and a central control device. The pipe network monitoring assembly is used for collecting real-time flow and pressure data of a main pipe and branch pipes of all floors. The pressure adjusting assembly comprises electric pressure adjusting valves installed at inlets of branch pipes of all floors. The central control device is respectively connected with the components and an air compressor unit controller, and is used for calculating the theoretical pressure drop of the branch main pipe of each floor, comparing the theoretical pressure drop with the sum value of the actually measured pressure drop and the pipe network fluctuation redundancy 0.01 MPa, and adjusting the opening degree of the electric pressure regulating valve of the corresponding floor or giving an alarm according to the comparison result; and calculating the theoretical pressure drop of the main pipe, adding the theoretical pressure drop with the sum value of the maximum value of the actually measured pressure of each floor branch pipe and the pipe network fluctuation redundancy 0.01 MPa to serve as the minimum set pressure of an outlet of the air compressor unit, and dynamically adjusting the running state of the air compressor unit. According to the invention, on-demand air supply of medical compressed air is realized through data perception and reverse optimization calculation of a pipe network, and the energy consumption of an air compressor unit is reduced on the premise of ensuring the safety of medical air consumption.
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Description

Technical Field

[0001] This invention relates to the field of medical gas supply system technology, and in particular to an intelligent medical compressed air pipeline energy-saving device and control method. Background Technology

[0002] Compressed medical air is one of the most important medical gases in hospital life support systems, and the stability of its supply is directly related to patient safety and the normal operation of medical equipment. With the expansion of modern hospitals, the energy consumption of compressed medical air systems accounts for a significant proportion of hospital operating costs.

[0003] In actual operation, hospital gas consumption is highly random and volatile. Gas demand often fluctuates dramatically depending on the treatment situation, the type of hospital, different time periods (diurnal differences), and seasonal changes. This periodic and sudden fluctuation poses a challenge to the stability of the gas supply system. To cope with this instability and ensure the safety, reliability, and continuity of gas supply under any sudden high-flow-rate conditions, engineering design and operation strategies typically adopt a "high-pressure setting" mode, that is, setting the outlet pressure (source pressure) of the air compressor unit to be much higher than the actual pressure required at the end of the pipeline network.

[0004] While this control method ensures the lower pressure limit, it results in significant energy waste. During off-peak gas consumption periods, excessively high pipeline pressure leads to unnecessary compression power loss. Industry estimates suggest that reducing the exhaust pressure of a compressed air system by 0.1 MPa can save 5-7% of air compressor energy consumption, while simultaneously reducing system air consumption by 12-14%. Therefore, optimizing pipeline pressure design and reducing unnecessary pressure losses are crucial for energy conservation.

[0005] However, most existing energy-saving solutions for medical gases focus on industrial scenarios or only on the start-up, shutdown, or frequency conversion control of the air compressor unit itself, with little attention paid to energy-saving optimization of the overall transmission process of the medical compressed air system pipeline network. Summary of the Invention

[0006] This invention aims to at least partially solve one of the technical problems in related technologies. Therefore, the objective of this invention is to propose an intelligent energy-saving device and control method for medical compressed air pipeline networks.

[0007] To achieve the above objectives, in one aspect, an intelligent medical compressed air pipeline energy-saving device according to an embodiment of the present invention is used in a medical compressed air supply system, the device comprising: Pipeline monitoring components are used to collect real-time operating pressure data of the pipeline network, including branch pipe flow meters and branch pipe pressure sensors installed on branch pipes on each floor, as well as terminal pressure sensors installed at the most unfavorable end of each floor. Pressure regulating components, including electrically operated pressure regulating valves installed at the inlets of branch pipes on each floor; The central control unit is connected to the pipeline monitoring component and the pressure regulation component via signals, and communicates with the air compressor unit controller of the medical compressed air station. It is used to calculate the theoretical pressure drop of the branch pipes on each floor and compare it with the sum of the measured pressure drop and the pipeline fluctuation redundancy of 0.01MPa. Based on the comparison result, it adjusts the opening of the electric pressure regulating valve of the corresponding floor or issues an alarm. It also calculates the theoretical pressure drop of the main pipe, adds it to the maximum value of the measured pressure of the branch pipes on each floor and the pipeline fluctuation redundancy of 0.01MPa, and uses it as the minimum set pressure of the air compressor unit outlet, and dynamically adjusts the operating status of the air compressor unit.

[0008] In addition, the intelligent medical air compressor pipeline energy-saving device according to the above embodiments of the present invention may also have the following additional technical features: According to one embodiment of the present invention, the electric pressure regulating valve is installed at the air inlet end where the branch pipe connects to the main pipe; The branch pipe pressure sensor is installed at the front end of the air inlet side of the electric pressure regulating valve to monitor the branch pipe inlet pressure before pressure reduction. The terminal pressure sensor is installed at the ward gas supply terminal that is physically farthest away or has the most complex hydraulic conditions in the pipeline network of this layer.

[0009] According to one embodiment of the present invention, the central control device calculates the theoretical pressure drop of the branch pipes on each floor and compares it with the sum of the measured pressure drop and the network fluctuation redundancy of 0.01 MPa. Based on the comparison result, it adjusts the opening of the electric pressure regulating valve on the corresponding floor or issues an alarm. Specifically, this includes: calculating the flow rate based on the network design parameters; calculating the theoretical pressure drop value from the branch pipe inlet to the most unfavorable end of the pipeline on each floor as the control setpoint; acquiring the difference between the pressure sensor values ​​of the branch pipe on that floor and the terminal pressure sensor values ​​of the most unfavorable end in real time, and calculating the measured pressure drop value of the most unfavorable branch on that floor; comparing the sum of the measured pressure drop value and the network fluctuation redundancy of 0.01 MPa with the theoretical pressure drop value, and adjusting the opening of the electric pressure regulating valve on the corresponding floor or issuing an alarm based on the comparison result: when the sum is less than the theoretical pressure drop value, the opening of the electric pressure regulating valve on that floor is increased; when the sum is greater than the theoretical pressure drop value and the difference exceeds a preset threshold, it is determined to be abnormal and an alarm is issued.

[0010] According to one embodiment of the present invention, the central control device pre-stores pipeline topology parameters, including the length, diameter, equivalent length of fittings, and design flow rate of the main pipe, branch pipes at each level, and terminal pipes; the central control device establishes a pipeline pressure drop calculation model based on fluid mechanics principles, and the pipeline pressure drop calculation model is used to calculate the theoretical pressure drop value; wherein, the pressure loss calculation formula for a single pipeline segment is: DPj =K j Q j 2 Equation (1) Among them, DP j Q represents the pressure loss in this section of the pipeline. j K is the design flow rate of the gas in this section of the pipeline. j This refers to the pressure loss parameters of this pipeline section; The pressure loss parameter K j Determined by the following formula: Equation (2) Among them, L j The length of the pipe segment is calculated, including the equivalent pipe length of fittings or valves, d j The inner diameter of the pipe. Let g be the gas specific weight, g be the acceleration due to gravity, and λ be the velocity. j The coefficient of frictional resistance; The theoretical pressure drop value is the sum of the pressure losses of each segment of the pipeline along the calculated pipeline path, and the calculation formula is: DP = ∑DP j ==∑K j Q j 2 Equation (3).

[0011] According to one embodiment of the present invention, the frictional resistance coefficient λ j The calculation uses a smooth pipe turbulence model and introduces a correction coefficient. The specific formula is as follows: λ j =1.15´0.3164 / Re j 0.25 Equation (4) Among them, Re j The value is the Reynolds number, and the coefficient 1.15 is the correction factor to compensate for engineering installation errors; Reynolds number Re j Determined by the following formula: Equation (5) Among them, Q j For the design flow rate of gas in the pipeline section, d j The inner diameter of the pipe. ρ is the gas specific weight, g is the acceleration due to gravity, and h is the gas dynamic viscosity.

[0012] According to one embodiment of the present invention, the central control device is a PLC control device, which is installed at the first floor of the main pipeline well, and the pipeline monitoring component and the pressure regulating component are connected to the PLC control device via a signal bus.

[0013] According to one embodiment of the present invention, the central control device further includes an energy efficiency analysis module for obtaining the difference between the current minimum set pressure of the air compressor outlet and the traditional constant pressure value preset by the system; the difference is converted into energy savings by a conversion formula, which is based on the pressure-power characteristic curve of the air compressor and is cumulatively calculated at a rate of 5%-7% energy savings for every 0.1MPa reduction in pressure.

[0014] According to one embodiment of the present invention, the central control device is further used to check for gas leaks by using the real-time flow of the branch pipe flow meter. When all terminals on a certain floor stop using gas, the branch pipe flow meter still has a real-time flow, indicating that there is a gas leak in the pipeline system on that floor. An alarm is then issued to facilitate maintenance personnel to promptly investigate and eliminate the gas leak and save energy upon receiving the alarm.

[0015] On the other hand, according to an embodiment of the present invention, an energy-saving control method for an intelligent medical compressed air pipeline network based on the aforementioned device includes: Real-time data collection of the most unfavorable terminal pressure, branch pipe inlet pressure, and flow rate on each floor; Using a pipeline pressure drop calculation model, the theoretical pressure drop value from the branch pipe inlet to the most unfavorable end is calculated for each floor; Calculate the difference between the measured values ​​of the pressure sensors on each floor's branch pipe and the measured values ​​of the pressure sensor at the most unfavorable end, and obtain the measured pressure drop value of the most unfavorable branch. The measured pressure drop value and the pipeline fluctuation redundancy of 0.01 MPa are added together and compared with the theoretical pressure drop value. If the added value is less than the theoretical pressure drop value, the opening of the electric pressure regulating valve on that floor is increased. If the added value is greater than the theoretical pressure drop value and exceeds the threshold, an alarm is issued. The theoretical pressure drop of the main pipe is calculated using a pipeline pressure drop calculation model, and the maximum measured pressure of the branch pipes on each floor is obtained. The theoretical pressure drop of the main pipe is added to the maximum value and the pipeline fluctuation redundancy of 0.01 MPa to obtain the minimum set pressure at the outlet of the air compressor unit, thereby controlling the air compressor unit to dynamically adjust the output pressure.

[0016] The intelligent medical compressed air pipeline energy-saving device and method provided by the embodiments of the present invention effectively solves the high energy consumption problem caused by the forced use of constant high-pressure redundant gas supply in existing medical compressed air systems to cope with random gas demand fluctuations by integrating real-time monitoring of the entire pipeline network and central intelligent collaborative control. The device utilizes sensing components distributed on branches and the most unfavorable end to form a multi-dimensional sensing network. Combined with a real-time comparison mechanism of theoretical and measured pressure drops, and a hybrid calculation strategy of adding the theoretical value of the main trunk and the measured maximum value of the branch pipes, it achieves proactive on-demand gas supply and intelligent diagnosis of pipeline anomalies. While ensuring the safety of medical gas pressure at the end, it can calculate the minimum outlet pressure setting value of the air compressor unit to meet the needs of the entire hospital, reducing unnecessary pressure excess during system operation, thereby reducing the work load of the air compressor unit at the source and achieving energy-saving benefits. Simultaneously, through the independent adjustment of electric pressure regulating valves on each floor, it effectively smooths inter-floor pressure fluctuations, further improving the stability and reliability of medical gas supply.

[0017] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0019] Figure 1 This is a block diagram illustrating the principle of the intelligent medical compressed air pipeline energy-saving device in this embodiment of the invention. Figure 2 This is an installation schematic diagram of the intelligent medical air compressor network energy-saving device in an embodiment of the present invention; Figure 3 This is a schematic diagram showing the installation of the pipeline monitoring components and electric pressure regulating valves on each floor in the intelligent medical compressed air pipeline energy-saving device of this invention.

[0020] Figure 4 This is a flowchart of the energy-saving control method for intelligent medical compressed air pipeline network in an embodiment of the present invention.

[0021] Figure label: 10. Pipeline monitoring components; 101. Pressure sensor for the main outlet pipe of the generator unit; 102. Branch pipe flow meter; 103. Branch pipe pressure sensor; 104. Terminal pressure sensor; 20. Pressure regulating assembly; 201. Electric pressure regulating valve; 30. Central control unit; 40. Air compressor unit controller; 41. Air compressor unit load adjustment device.

[0022] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0023] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0024] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "circumferential," and "radial," etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the accompanying drawings and are only for the convenience of describing this invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0025] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0026] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0027] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0028] The following describes in detail, with reference to the accompanying drawings, the energy-saving device and method for intelligent medical compressed air pipeline network according to embodiments of the present invention.

[0029] Reference Figures 1 to 3 As shown, the intelligent medical compressed air pipeline energy-saving device provided according to an embodiment of the present invention is used in a medical compressed air supply system. The device includes a pipeline monitoring component 10, a pressure regulating component 20, and a central control device 30.

[0030] Specifically, the pipeline monitoring component 10 is used to collect real-time operating pressure data of the pipeline network, including branch pipe flow meters 102 and branch pipe pressure sensors 103 installed on branch pipes on each floor, and terminal pressure sensors 104 installed at the most unfavorable end of each floor.

[0031] The pipeline monitoring component 10, serving as the data sensing front end of the device, is responsible for collecting real-time operating pressure parameters of the pipeline network around the clock. To achieve refined monitoring by level and region, the pipeline monitoring component 10 adopts a hierarchical layout. Branch pipe pressure sensors 103 and branch pipe flow meters 102 are installed at the locations where branch pipes connect to the main pipe on each floor. Furthermore, terminal pressure sensors 104 are installed at the end of the pipeline network on each floor, particularly in the ward access sections where the physical distance is greatest or the pipeline structure is most complex and hydraulic losses are greatest. The pressure value fed back by the terminal pressure sensor 104 represents the baseline of the system's gas supply capacity, i.e., the pressure condition at the most unfavorable point.

[0032] The pressure regulating assembly 20 includes an electrically operated pressure regulating valve 201 installed at the inlet of the branch pipe on each floor. Unlike traditional manual pressure reducing valves, the electrically operated pressure regulating valve 201 used in this embodiment has an electrically operating actuator, which can receive analog or digital control signals from the central control device 30 to achieve continuous and precise adjustment of the valve opening. By changing the valve opening, the compressed air flow rate and the outlet pressure after pressure reduction through the branch pipe can be dynamically adjusted, thereby reducing the pressure imbalance between floors caused by differences in floor height and fluctuations in gas usage.

[0033] It is understood that the electric pressure regulating valve 201 may include a main pressure regulating valve and a standby pressure regulating valve, with the main pressure regulating valve and the standby pressure regulating valve arranged in parallel. In this way, if one valve fails, the other valve can be activated, thereby ensuring the continuity of gas supply.

[0034] The central control device 30 is connected to the pipeline monitoring component 10 and the pressure regulating component 20 via signals, and is also connected to the air compressor unit controller 40 of the medical compressed air station via communication. It is used to calculate the theoretical pressure drop of the branch pipes on each floor and compare it with the sum of the measured pressure drop and the pipeline fluctuation redundancy of 0.01MPa. Based on the comparison result, it adjusts the opening of the electric pressure regulating valve of the corresponding floor or issues an alarm. It also calculates the theoretical pressure drop of the main pipe, adds it to the maximum value of the measured pressure of the branch pipes on each floor and the pipeline fluctuation redundancy of 0.01MPa, and uses it as the minimum set pressure of the air compressor unit outlet, and dynamically adjusts the operating status of the air compressor unit.

[0035] The central control device 30 is the core processing unit in this embodiment. It receives data collected by the pipeline monitoring component 10 in real time and sends control commands to the electric pressure regulating valve 201. Simultaneously, the central control device 30 can also read the operating status of the air compressor unit and send pressure setting signals to it.

[0036] Preferably, the central control device 30 is a PLC control device, which is installed on the first floor of the main pipeline shaft. The pipeline monitoring component 10 and the pressure regulating component 20 are connected to the PLC control device via a signal bus. This PLC control device features high reliability, strong anti-interference capability, and convenient modular expansion, and can adapt to the complex electromagnetic environment of the hospital and the need for 24 / 7 uninterrupted operation.

[0037] In the actual operation control logic, the central control device 30 executes a two-dimensional adjustment strategy. First, it adjusts and monitors branch pipes based on pressure drop comparison. The central control device 30 calculates the flow rate according to the pipeline design parameters, calculates the theoretical pressure drop from the inlet of each branch pipe to the most unfavorable end, and uses this as the control setpoint. Simultaneously, it acquires the difference between the values ​​of the pressure sensor 103 and the terminal pressure sensor 104 of the branch pipe on that floor in real time, and calculates the measured pressure drop value of the most unfavorable branch on that floor. The central control device 30 compares the sum of the measured pressure drop value and the pipeline fluctuation redundancy of 0.01 MPa with the theoretical pressure drop value in real time, and adjusts the opening of the electric pressure regulating valve on the corresponding floor or issues an alarm based on the comparison result. Specifically, when the sum is less than the theoretical pressure drop value, the output control signal increases the opening of the electric pressure regulating valve 201 on the corresponding floor to compensate for pressure loss; when the sum is greater than the theoretical pressure drop value and the difference exceeds a preset threshold, it determines that there is an anomaly in the pipeline network on that floor (such as leakage or blockage) and issues an alarm to notify maintenance personnel for inspection.

[0038] Secondly, energy-saving regulation at the source is based on a combination of theory and actual measurement. The central control unit 30 uses a preset pipeline pressure drop calculation model to calculate the theoretical pressure drop of the main pipeline based on its design parameters and real-time total flow. Simultaneously, the central control unit 30 collects the measured pressure values ​​from the pressure sensors 103 of all floor branch pipelines and selects the maximum value. Then, the central control unit 30 adds the calculated theoretical pressure drop of the main pipeline to the maximum measured pressure of each floor branch pipeline and a pipeline fluctuation redundancy of 0.01 MPa to obtain the minimum set pressure at the air compressor unit outlet. The central control unit 30 sends this calculated minimum set pressure to the air compressor unit controller 40 to dynamically adjust the operating status of the air compressor unit, ensuring that the output pressure of the air compressor unit always closely matches the actual demand curve of the pipeline network, thereby achieving system-level energy saving and consumption reduction while ensuring gas supply safety.

[0039] The intelligent medical compressed air pipeline energy-saving device provided by the present invention effectively solves the high energy consumption problem caused by the existing medical compressed air system's forced use of constant high-pressure redundant gas supply to cope with random gas demand fluctuations by integrating real-time monitoring of the entire pipeline network and central intelligent collaborative control. This device utilizes sensing components distributed on branches and at the most unfavorable ends to form a multi-dimensional sensing network. Combined with a real-time comparison mechanism of theoretical and measured pressure drops, and a hybrid calculation strategy that adds the theoretical value of the main pipeline to the measured maximum value of the branch pipeline, it achieves proactive on-demand gas supply and intelligent diagnosis of pipeline anomalies. While ensuring the safety of medical gas pressure at the end of the pipeline, it can calculate the minimum outlet pressure setting value of the air compressor unit to meet the needs of the entire hospital, eliminating unnecessary pressure excess during system operation, thereby reducing the work load of the air compressor unit at the source and achieving energy-saving benefits. Simultaneously, through the independent adjustment of the electric pressure regulating valves 201 on each floor, it effectively smooths inter-floor pressure fluctuations, further improving the stability and reliability of medical gas supply.

[0040] In one embodiment of the present invention, the electric pressure regulating valve 201 is installed at the air inlet end where the branch pipe connects to the main pipe. This location is typically situated within the inter-floor manhole or at the beginning of the branch pipe, serving as the gateway for high-pressure gas from the main pipe to enter the floor's gas network. Positioning the electric pressure regulating valve 201 at this location allows for immediate pressure reduction and stabilization of the high-pressure gas from the main pipe, ensuring that the gas pressure entering the floor's internal gas network meets the standards for medical equipment use, while simultaneously isolating the impact of main pipe pressure fluctuations on the floor's gas supply.

[0041] A branch pipe pressure sensor 103 is installed at the inlet side of the electric pressure regulating valve 201 to monitor the branch pipe inlet pressure before pressure reduction. This sensor 103 can monitor the inlet pressure of the main pipe distributed to that floor in real time. By collecting pressure data before pressure reduction, the central control device 30 can accurately determine whether the main pipe's delivery capacity is sufficient. More importantly, the measured value of the branch pipe pressure sensor 103 has a dual core function. First, it works with the terminal pressure sensor 104 to calculate the measured pressure drop of the most unfavorable branch on that floor. Second, it serves as a parameter for the central control device 30 when calculating the minimum set pressure at the air compressor unit outlet, i.e., extracting the maximum measured pressure of the branch pipes on each floor, thereby achieving dynamic tracking control at the source.

[0042] The terminal pressure sensor 104 is installed at the ward gas supply terminal with the longest physical distance or the most complex hydraulic conditions in the pipeline network of that level. The terminal pressure sensor 104 serves as the feedback reference for the entire closed-loop control logic and is installed at the ward gas supply terminal with the longest physical distance or the most complex hydraulic conditions in the pipeline network of that level. In engineering practice, this typically corresponds to the bedside terminal in the ward furthest from the manhole, or the end of the pipe section with the most bends, the most frequent reductions in diameter, and the highest local resistance coefficient. This location is defined as the "most unfavorable point" in fluid mechanics, and its pressure state represents the baseline of the gas supply capacity of that pipeline network. As long as the pressure at this most unfavorable point meets medical requirements, according to fluid mechanics principles, the pressures of all other preceding nodes in the pipeline network of that level will also meet the requirements. Therefore, the measured value of the terminal pressure sensor 104 is the basic data for the central control device 30 to calculate the measured pressure drop of the most unfavorable branch: measured pressure drop = branch inlet pressure - terminal pressure value. The central control device 30 compares the measured pressure drop with the theoretical pressure drop to precisely adjust the opening of the electric pressure regulating valve 201 or to determine pipeline abnormalities, rather than relying solely on a single pressure threshold feedback.

[0043] In one embodiment of the present invention, the central control device pre-stores pipeline topology parameters, including the length, diameter, equivalent length of fittings, and design flow rate of the main pipe, branch pipes at each level, and terminal pipes; the central control device establishes a pipeline pressure drop calculation model based on fluid mechanics principles, and the pipeline pressure drop calculation model is used to calculate the theoretical pressure drop value; wherein, the pressure loss calculation formula for a single pipeline segment is: DP j =K j Q j 2 Equation (1) Among them, DP j This represents the pressure loss in that section of the pipeline, and it serves as the direct basis for system pressure compensation; Q j K represents the design flow rate of the gas in this section of the pipeline. jThis is the pressure loss parameter for this section of the pipeline. It is a resistance coefficient that comprehensively reflects the geometric and physical characteristics of the pipeline and determines the ability of this section of the pipeline to impede gas flow.

[0044] The pressure loss parameter K j Determined by the following formula: Equation (2) Among them, L j The calculated length of the pipe segment includes not only the physical straight length of the pipeline but also, through the equivalent length method, the local resistance of fittings such as elbows, tees, reducers, and the electric pressure regulating valve 201 within the segment. This achieves a unified calculation of friction resistance and local resistance. j Let be the inner diameter of the pipe. Since it is in the denominator and has a 5th power relationship, it indicates that a small change in the pipe diameter has a great impact on the resistance coefficient. λj represents the gas specific weight, reflecting the physical properties of the gas. g is the acceleration due to gravity, and λj is the friction drag coefficient, which is related to the Reynolds number of the fluid and the roughness of the pipe wall. It can be dynamically updated according to the real-time flow velocity during model operation.

[0045] The theoretical pressure drop value is the sum of the pressure losses of each segment of the pipeline along the calculated pipeline path, and the calculation formula is: DP = ∑DP j ==∑K j Q j 2 Equation (3).

[0046] In other words, for the transmission path from the branch pipe inlet to the most unfavorable end, the total theoretical pressure drop is the sum of the pressure losses of all series pipe sections along the path. The central control device 30 calculates the sum using an integration or summation algorithm to obtain the total theoretical pressure drop at the most unfavorable end.

[0047] This embodiment uses the above-mentioned pipeline pressure drop calculation model to construct a digital mechanism that can provide real-time insight into the internal pressure distribution of the pipeline network. By combining formulas (1), (2), and (3), the central control device 30 does not need to install expensive pressure sensors on every meter of the pipeline. It can achieve high-precision sensing capabilities based solely on the flow data of key nodes and the preset pipeline physical parameters, accurately calculating the pressure attenuation and total pressure drop value when gas flows through any pipe section. This calculation method based on rigorous fluid dynamics formulas can more sensitively capture the nonlinear resistance changes caused by flow fluctuations compared to traditional empirical estimations or simple linear feedback. More importantly, this calculated value provides a solid theoretical basis for the system's dual control logic. In the regulation of branch pipes, it is compared with the measured pressure drop as a standard value, thereby achieving precise valve opening adjustment and judgment of abnormal states (such as leakage). In source control, it provides the theoretical pressure drop of the main pipeline, which, combined with the maximum measured pressure of each layer and the sum of the pipeline fluctuation redundancy of 0.01 MPa, constitutes the basis for calculating the minimum set pressure of the air compressor unit outlet. This fusion mechanism of theory and measurement not only corrects potential deviations in purely theoretical calculations but also compensates for potential lags in purely measured feedback, ensuring that the energy-saving control strategy maximizes energy-saving effects while guaranteeing the safety of medical gas use.

[0048] In one embodiment of the present invention, the frictional resistance coefficient λ j The calculation uses a smooth pipe turbulence model and introduces a correction coefficient. The specific formula is as follows: λ j =1.15´0.3164 / Re j 0.25 Equation (4) Among them, Re j The value is the Reynolds number, and the coefficient 1.15 is the correction factor to compensate for engineering installation errors; Formula (3) is the Blasius formula in fluid mechanics, applicable to calculating the frictional resistance of fluids in a turbulent state within a hydraulically smooth pipe. Since medical compressed air pipelines typically use degreased copper or stainless steel pipes with smooth inner walls, and the gas velocity is usually high, conforming to the turbulent flow characteristics of smooth pipes, this model forms the theoretical basis for the calculation. However, considering the unavoidable errors in actual engineering installations, such as weld protrusions at pipe connections, minor misalignments in flange connections, and changes in the inner wall roughness of the pipe after long-term use, this embodiment introduces a correction amplification factor of 1.15 based on the theoretical calculation value. This correction amplification factor serves as an engineering safety margin, appropriately amplifying and compensating for the theoretical friction coefficient, ensuring that the calculated resistance value covers all potential non-ideal factors, and avoiding insufficient air supply pressure due to underestimating the resistance.

[0049] Reynolds number Re j Determined by the following formula: Equation (5) Among them, Q j For the design flow rate of gas in the pipeline section, d j The inner diameter of the pipe. ρ is the gas specific weight, g is the acceleration due to gravity, and h is the gas dynamic viscosity.

[0050] Reynolds number Re j It is a dimensionless number used to determine the fluid flow state (laminar or turbulent), reflecting the ratio of inertial force to viscous force in fluid flow. It is particularly important to note that the variable Q in formula (4) above... j This represents the design flow rate of gas within the calculated pipe section.

[0051] This embodiment uses the modified formula for calculating the friction resistance coefficient described above, thus combining the theoretical model with engineering practice. This is achieved by introducing the Reynolds number Re. j The model can be based on the flow Q j Adjusting the frictional resistance coefficient λ j This allows for the precise capture of pipe resistance characteristics during different peak or off-peak gas usage periods. Simultaneously, the introduction of a 1.15 correction factor creates a safety barrier for the system, preventing calculation deviations caused by differences in construction processes or pipe aging. This ensures that the calculated minimum outlet pressure setting of the air compressor unit possesses both excellent energy efficiency and sufficient engineering safety redundancy, guaranteeing the reliability and safety of medical gas supply under complex operating conditions.

[0052] To further enhance the system's intelligence level, the anomaly monitoring function of the central control device 30 adopts a dual verification strategy using measured data and theoretical models.

[0053] During monitoring, the central control unit 30 reads in real time the pressure values ​​of the branch pipe pressure sensors 103 installed at the inlet of each floor's branch pipe (i.e., the air inlet side of the electric pressure regulating valve 201) and the pressure values ​​of the terminal pressure sensors 104 installed at the most unfavorable end of that floor, and subtracts the two to obtain the current measured pressure drop value of the pipeline network on that floor. This measured pressure drop value reflects the total actual physical pressure attenuation of the gas from its entry into that floor, through the electric pressure regulating valve 201 and all delivery pipes, until it reaches the end.

[0054] Subsequently, the anomaly detection phase begins. The sum of the measured pressure drop and the pipeline fluctuation redundancy of 0.01 MPa is compared in real time with the calculated theoretical pressure drop. Under ideal leak-free and unobstructed pipeline conditions, although there may be slight deviations between the measured and theoretical values, they should remain within a highly consistent range. However, if the comparison shows that the sum is greater than the theoretical pressure drop, and the difference exceeds the system's preset safety threshold, it indicates that an abnormal physical change has occurred within the pipeline. This anomaly may stem from a hidden leak in the middle section of the pipeline, causing the actual pressure decay rate to far exceed the theoretical expectation calculated based on the end flow rate; or from severe blockage within the pipeline, leading to a sharp increase in the local flow resistance coefficient. Once the above alarm conditions are met, the central control device 30 immediately triggers an audible and visual alarm signal and pushes the specific faulty floor information to the hospital monitoring center via the communication interface, prompting maintenance personnel to investigate promptly.

[0055] This embodiment achieves self-diagnosis of potential hazards in medical compressed air pipelines through the aforementioned anomaly monitoring mechanism. This not only effectively prevents huge energy waste caused by long-term minor leaks, but also provides early warning of potential risks such as pipeline blockage, thereby improving the reliability of the hospital's gas supply system.

[0056] In one embodiment of the present invention, the central control device 30 further includes an energy efficiency analysis module for obtaining the difference between the current minimum set pressure of the air compressor outlet and the traditional constant pressure value preset by the system; and converting the difference into energy savings through a conversion formula, which is based on the pressure-power characteristic curve of the air compressor and is cumulatively calculated according to the proportion of 5%-7% energy savings for every 0.1MPa pressure reduction.

[0057] Specifically, the energy efficiency analysis module first obtains in real time the minimum outlet set pressure P of the air compressor unit at the current moment, which is calculated by superimposing the aforementioned main pipeline theoretical pressure drop, the maximum measured pressure of each layer, and the pipeline fluctuation redundancy of 0.01 MPa. min Meanwhile, the energy efficiency analysis module has a preset reference value, namely the system's preset traditional constant pressure value P. ref This traditional constant pressure value is typically set according to the original design specifications of the hospital's gas supply system. The energy efficiency analysis module continuously compares these two values ​​to calculate the current pressure optimization margin, Delta P=P, in real time. ref -P min .

[0058] Because the device can dynamically reduce the supply pressure according to the actual load, the minimum set outlet pressure is significantly lower than the traditional constant pressure value for most of the operating time, thus generating a positive pressure difference. To convert this abstract pressure difference into tangible energy savings for the user, the energy efficiency analysis module incorporates an energy conversion algorithm based on the thermodynamic characteristics of the air compressor unit. This algorithm establishes a mathematical mapping relationship between the pressure drop and the percentage reduction in energy consumption based on the pressure-power characteristic curve of the air compressor unit. Specifically, the conversion formula is set as follows: for every 0.1 MPa decrease in the exhaust pressure of the air compressor unit, the actual power consumption of its drive motor will decrease by 5% to 7%. The energy efficiency analysis module substitutes the real-time calculated pressure optimization range into this proportional relationship to obtain the current instantaneous energy saving rate. For example, if the current optimization range is 0.2 MPa, the current instantaneous power saving rate is calculated to be approximately 10% to 14%. Based on this, combined with the rated power of the air compressor unit or the real-time operating power read through the communication interface, an integral accumulation calculation is performed over time to obtain the cumulative energy savings over the past hour, day, or month.

[0059] This embodiment achieves visualization and digitization of energy-saving benefits through an energy efficiency analysis module. It can accurately quantify the savings per kilowatt-hour resulting from the on-demand gas supply strategy. This not only provides the hospital's logistics management department with a clear energy-saving bill, but also provides objective data for optimizing the operation strategy of air compressor units and evaluating the energy efficiency performance of different brands of air compressors.

[0060] In other embodiments of the present invention, the central control device 30 is further used to check for gas leaks by using the real-time flow of the branch pipe flow meter. If the branch pipe flow meter still has a real-time flow when all terminals on a certain floor stop using gas, it indicates that there is a gas leak in the pipeline system on that floor, and an alarm is issued so that maintenance personnel can promptly investigate and eliminate the gas leak to save energy.

[0061] Specifically, leaks in compressed air pipelines can lead to significant energy waste; a 1mm leak at 0.7MPa can result in approximately 1200 kWh of wasted electricity annually.

[0062] Formula for calculating air leakage in medical compressed air pipelines: Mass flow rate formula (kg / s): Equation (6) Simplified practical formula for mass flow rate: (air, units: MPa, mm², kg / h)

[0063] in: m: Mass leakage rate, unit kg / h; C dFlow coefficient (0.60~0.65 for sharp-edged round holes, generally 0.62). A: Area of ​​the small hole, in mm²; P1: Upstream absolute pressure, unit MPa (gauge pressure + 0.1013).

[0064] Calculation example: Scenario: Compressed air system pressure: 0.7MPa (gauge pressure), orifice diameter: 1mm, flow coefficient C d = 0.62, Ambient pressure: 0.1013 MPa (atmospheres); Step 1: Calculate the hole area: A= = =0.7854mm 2 Step 2: Calculate the upstream absolute pressure: P1 = 0.7 + 0.1013 = 0.8013 MPa Step 3: Substitute into the formula to calculate the mass flow rate: m=0.000336×0.62×0.7854×0.8013≈0.000132kg / h≈0.132g / h Convert to volumetric flow rate (optional): Under standard conditions (0°C, 101.325 kPa), the air density ρ ≈ 1.293 kg / m³ V= = ≈0.000102 m3 / h = 0.102 L / h; A 1mm hole at 0.8MPa will leak approximately 0.16m³ / h, which is equivalent to a power waste of 1.4kW (based on a compressor efficiency of 70%).

[0065] Reference Figure 4 As shown, this embodiment of the invention also provides an intelligent medical compressed air pipeline network energy-saving control method based on the device described in the above embodiments, comprising: S101. Real-time collection of the most unfavorable terminal pressure, branch pipe inlet pressure and flow data for each floor.

[0066] S102. Using the pipeline pressure drop calculation model, calculate the theoretical pressure drop value from the branch pipe inlet to the most unfavorable end on each floor. Specifically, the central control device 30 reads in real time the pressure value of the terminal pressure sensor 104 installed at the most unfavorable end on each floor, the pressure value of the branch pipe pressure sensor 103 installed on the air inlet side of the electric pressure regulating valve 201, and the real-time flow rate of the branch pipe flow meter 102 via the signal bus. Subsequently, the central control device 30 calls the preset pipeline pressure drop calculation model, calculates the flow rate based on the physical topology parameters of the pipeline network on that floor (pipe length, pipe diameter, equivalent length) and the terminal gas consumption, and calculates the theoretical pressure loss that should occur when the gas flows through the branch pipe on that floor to the most unfavorable end path, i.e., the theoretical pressure drop value. This theoretical pressure drop value provides a standard benchmark for the system to judge the pipeline network operating status.

[0067] S103. Calculate the difference between the measured values ​​of the pressure sensors on each floor's branch pipes and the pressure sensor at the most unfavorable terminal, to obtain the measured pressure drop value of the most unfavorable branch. The central control device 30 performs a subtraction operation, subtracting the pressure value at the most unfavorable terminal from the branch pipe inlet pressure value to obtain the current physical actual pressure drop value of the pipe network on that floor. This value reflects the current true resistance condition.

[0068] S104. Compare the sum of the measured pressure drop value and the pipeline fluctuation redundancy of 0.01 MPa with the theoretical pressure drop value: if the sum is less than the theoretical pressure drop value, control the opening of the electric pressure regulating valve of this layer to increase; if the sum is greater than the theoretical pressure drop value and exceeds the threshold, issue an alarm.

[0069] S105. Calculate the theoretical pressure drop of the main pipeline using the pipeline pressure drop calculation model, and obtain the maximum measured pressure of the branch pipelines on each floor. Regarding source control, the central control device 30, on the one hand, uses the model and the real-time total flow rate of the main pipeline to calculate the theoretical pressure drop of the main pipeline generated during the transmission of gas from the air compressor room to the pipe shafts on each floor; on the other hand, it iterates through and filters the real-time pressure values ​​uploaded by the pressure sensors 103 of all branch pipelines on each floor, identifying the maximum value. This maximum value represents the demand at the point with the highest inlet pressure requirement among all floors in the entire facility at the current moment.

[0070] S106. The theoretical pressure drop of the main pipeline is added to the maximum value and the pipeline fluctuation redundancy of 0.01 MPa to obtain the minimum set pressure at the air compressor unit outlet, and the air compressor unit is dynamically adjusted to control the output pressure. The central control device 30 sums the calculated theoretical pressure drop of the main pipeline with the maximum measured pressure of each selected branch pipeline. The result is the minimum set pressure at the outlet that the air compressor unit must reach at the current moment. Subsequently, this set value is sent to the air compressor unit controller 40, and the actual exhaust pressure of the air compressor unit is made to accurately approach the calculated minimum set pressure by means of frequency conversion speed regulation or adjustment of the loading / unloading ratio. This step ensures that the output pressure of the air compressor unit can overcome the friction resistance of the main pipeline and meet the inlet pressure requirements of the floor with the highest demand, while eliminating the excess pressure in the traditional constant pressure air supply mode, achieving ultimate energy saving at the system level.

[0071] In other embodiments, the method further includes S107, using the real-time flow of the branch pipe flow meter to check for gas leakage. If the branch pipe flow meter still has a real-time flow when all terminals on a certain floor stop using gas, it indicates that there is a gas leak in the pipeline system on that floor, and an alarm is issued to facilitate maintenance personnel to promptly investigate and eliminate the gas leak and save energy upon receiving the alarm.

[0072] In one embodiment of the present invention, when adjusting the exhaust pressure of the air compressor unit, closed-loop feedback regulation is adopted: the calculated target pressure is sent to the air compressor unit load adjustment device 41, and the actual exhaust pressure is made close to the calculated minimum set pressure by changing the air compressor speed or the loading / unloading ratio.

[0073] By employing a closed-loop feedback control strategy, the calculated theoretical minimum pressure is directly mapped to the equipment's execution actions, resolving the energy waste caused by constant high-pressure settings in traditional air supply modes. This control method, which allows the actual exhaust pressure to approach the theoretical minimum demand value in real time, not only maximizes energy savings at the source but also effectively reduces the mechanical shock from frequent loading and unloading of the air compressor or the thermal stress from long-term high-load operation, thereby extending the service life of the air compressor unit and lowering long-term maintenance costs.

[0074] The intelligent medical compressed air pipeline energy-saving method provided by the present invention effectively solves the high energy consumption problem caused by the forced use of constant high-pressure redundant gas supply in existing medical compressed air systems to cope with random gas demand fluctuations by integrating real-time monitoring of the entire pipeline network and central intelligent collaborative control. This device utilizes sensing components distributed in the main trunk, branches, and the most unfavorable end to form a multi-dimensional sensing network. Combined with a real-time comparison mechanism of theoretical and measured pressure drops, and a hybrid calculation strategy of adding the theoretical value of the main trunk and the measured maximum value of the branch pipes, it achieves proactive on-demand gas supply and intelligent diagnosis of pipeline anomalies. While ensuring the safety of medical gas pressure at the end, it can calculate the minimum outlet pressure setting value of the air compressor unit to meet the needs of the entire hospital, eliminating unnecessary pressure excess during system operation, thereby reducing the work load of the air compressor unit at the source and achieving energy-saving benefits. Simultaneously, through the independent adjustment of the electric pressure regulating valves 201 on each floor, it effectively smooths inter-floor pressure fluctuations, further improving the stability and reliability of medical gas supply.

[0075] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0076] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. An intelligent medical compressed air pipeline energy-saving device for use in medical compressed air supply systems, characterized in that, The device includes: Pipeline monitoring components are used to collect real-time operating pressure data of the pipeline network, including branch pipe flow meters and branch pipe pressure sensors installed on branch pipes on each floor, as well as terminal pressure sensors installed at the most unfavorable end of each floor. Pressure regulating components, including electrically operated pressure regulating valves installed at the inlets of branch pipes on each floor; The central control unit is connected to the pipeline monitoring component and the pressure regulation component via signals, and communicates with the air compressor unit controller of the medical compressed air station. It is used to calculate the theoretical pressure drop of the branch pipes on each floor and compare it with the sum of the measured pressure drop and the pipeline fluctuation redundancy of 0.01MPa. Based on the comparison result, it adjusts the opening of the electric pressure regulating valve of the corresponding floor or issues an alarm. It also calculates the theoretical pressure drop of the main pipe, adds it to the maximum value of the measured pressure of the branch pipes on each floor and the pipeline fluctuation redundancy of 0.01MPa, and uses it as the minimum set pressure of the air compressor unit outlet, and dynamically adjusts the operating status of the air compressor unit.

2. The intelligent medical compressed air pipeline energy-saving device according to claim 1, characterized in that, The electric pressure regulating valve is installed at the air inlet end where the branch pipe connects to the main pipe; The branch pipe pressure sensor is installed at the front end of the air inlet side of the electric pressure regulating valve to monitor the branch pipe inlet pressure before pressure reduction. The terminal pressure sensor is installed at the ward gas supply terminal that is physically farthest away or has the most complex hydraulic conditions in the pipeline network of this layer.

3. The intelligent medical compressed air pipeline energy-saving device according to claim 1, characterized in that, The central control device calculates the theoretical pressure drop of the branch pipes on each floor and compares it with the sum of the measured pressure drop and the network fluctuation redundancy of 0.01 MPa. Based on the comparison result, it adjusts the opening of the electric pressure regulating valve on the corresponding floor or issues an alarm. Specifically, this includes: calculating the flow rate based on the network design parameters; calculating the theoretical pressure drop value from the branch pipe inlet to the most unfavorable end of the pipeline on each floor as the control setpoint; acquiring the difference between the pressure sensor values ​​of the branch pipe on that floor and the terminal pressure sensor values ​​of the most unfavorable end in real time, and calculating the measured pressure drop value of the most unfavorable branch on that floor; comparing the sum of the measured pressure drop value and the network fluctuation redundancy of 0.01 MPa with the theoretical pressure drop value, and adjusting the opening of the electric pressure regulating valve on the corresponding floor or issuing an alarm based on the comparison result: when the sum is less than the theoretical pressure drop value, the opening of the electric pressure regulating valve on that floor is increased; when the sum is greater than the theoretical pressure drop value and the difference exceeds a preset threshold, it is judged as abnormal and an alarm is issued.

4. The intelligent medical compressed air pipeline energy-saving device according to claim 1, characterized in that, The central control device pre-stores pipeline topology parameters, including the length, diameter, equivalent length of fittings, and design flow rate of the main pipe, branch pipes at each level, and terminal pipes. The central control device establishes a pipeline pressure drop calculation model based on fluid mechanics principles, which is used to calculate the theoretical pressure drop value. The formula for calculating the pressure loss of a single pipeline segment is as follows: DP j =K j Q j 2 Equation (1) Among them, DP j Q represents the pressure loss in this section of the pipeline. j K is the design flow rate of the gas in this section of the pipeline. j This refers to the pressure loss parameters of this pipeline section; The pressure loss parameter K j Determined by the following formula: Equation (2) Among them, L j The length of the pipe segment is calculated, including the equivalent pipe length of fittings or valves, d j The inner diameter of the pipe. Let g be the gas specific weight, g be the acceleration due to gravity, and λ be the velocity. j The coefficient of frictional resistance; The theoretical pressure drop value is the sum of the pressure losses of each segment of the pipeline along the calculated pipeline path, and the calculation formula is: DP = ∑DP j ==∑K j Q j 2 Equation (3).

5. The intelligent medical compressed air pipeline energy-saving device according to claim 4, characterized in that, The frictional resistance coefficient λ j The calculation uses a smooth pipe turbulence model and introduces a correction coefficient. The specific formula is as follows: λ j =1.15 × 0.3164 / Re j 0.25 Equation (4) Among them, Re j The value is the Reynolds number, and the coefficient 1.15 is the correction factor to compensate for engineering installation errors; Reynolds number Re j Determined by the following formula: Equation (5) Among them, Q j For the design flow rate of gas in the pipeline section, d j The inner diameter of the pipe. ρ is the gas specific weight, g is the acceleration due to gravity, and h is the gas dynamic viscosity.

6. The intelligent medical compressed air pipeline energy-saving device according to claim 1, characterized in that, The central control device is a PLC control device, which is installed at the first floor of the main pipeline well. The pipeline monitoring component and the pressure regulating component are connected to the PLC control device via a signal bus.

7. The intelligent medical compressed air pipeline energy-saving device according to claim 1, characterized in that, The central control device also includes an energy efficiency analysis module, which is used to obtain the difference between the current minimum set pressure of the air compressor unit outlet and the traditional constant pressure value preset by the system; the difference is converted into energy savings through a conversion formula, which is based on the pressure-power characteristic curve of the air compressor unit and is calculated cumulatively at a rate of 5%-7% energy savings for every 0.1MPa reduction in pressure.

8. The intelligent medical compressed air pipeline energy-saving device according to claim 1, characterized in that, The central control device is also used to check for gas leaks by using the real-time flow of the branch pipe flow meter. If the branch pipe flow meter still has a real-time flow when all terminals on a certain floor stop using gas, it indicates that there is a gas leak in the pipeline system on that floor, and an alarm is issued so that maintenance personnel can promptly investigate and eliminate the gas leak to save energy.

9. A method for energy-saving control of intelligent medical compressed air pipeline network based on the device according to any one of claims 1-8, characterized in that, include: Real-time data collection of the most unfavorable terminal pressure, branch pipe inlet pressure, and flow rate on each floor; Using a pipeline pressure drop calculation model, the theoretical pressure drop value from the branch pipe inlet to the most unfavorable end is calculated for each floor; Calculate the difference between the measured values ​​of the pressure sensors on each floor's branch pipe and the measured values ​​of the pressure sensor at the most unfavorable end, and obtain the measured pressure drop value of the most unfavorable branch. The measured pressure drop value and the pipeline fluctuation redundancy of 0.01 MPa are added together with the theoretical pressure drop value. If the added value is less than the theoretical pressure drop value, the opening of the electric pressure regulating valve on that floor is increased. If the added value is greater than the theoretical pressure drop value and exceeds the threshold, an alarm is issued. The theoretical pressure drop of the main pipe is calculated using a pipeline pressure drop calculation model, and the maximum measured pressure of the branch pipes on each floor is obtained. The theoretical pressure drop of the main pipe is added to the maximum value and the network fluctuation redundancy of 0.01 MPa to obtain the minimum set pressure at the outlet of the air compressor unit, thereby controlling the air compressor unit to dynamically adjust the output pressure.

10. The energy-saving control method for intelligent medical compressed air pipelines according to claim 9, characterized in that, When adjusting the exhaust pressure of the air compressor unit, closed-loop feedback regulation is adopted: the calculated target pressure is sent to the air compressor unit load adjustment device, and the actual exhaust pressure is made close to the calculated minimum set pressure by changing the air compressor speed or the loading / unloading ratio.