Refrigerating effect analysis system and method for efficient refrigerating machine room based on hydraulic balance

Abstract

The invention relates to the technical field of refrigerating machine rooms, and discloses a system and method for analyzing the refrigerating effect of an efficient refrigerating machine room based on hydraulic equilibrium, and the analysis system is composed of a data collection module, a hydraulic equilibrium analysis module, an energy efficiency monitoring and analysis module, an optimization decision support module and a monitoring module. By monitoring the running state, the temperature, the humidity, the flow and the pressure of the refrigeration equipment per minute, detailed and timely data can be obtained, accurate mastering of dynamic changes of the system is ensured through data collection, more accurate analysis and decision making are facilitated, and the working efficiency is improved. The hydraulic balance analysis module can calculate water flow distribution of each area according to actual hydraulic conditions and temperature changes, and the system comprehensively evaluates the actual performance of the refrigeration system, so that the potential energy efficiency bottleneck is found, and the beneficial effect of accurately analyzing the refrigeration effect of the refrigeration machine room based on hydraulic balance is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigeration rooms, and in particular to a refrigeration effect analysis system and method for a high-efficiency refrigeration room based on hydraulic balance. Background Art

[0002] With the rapid development of information technology, a large number of data centers and server rooms have emerged. These rooms require a large amount of cooling equipment to maintain the stable operating temperature of the servers. However, high energy consumption and low energy efficiency are common problems in refrigeration rooms. Therefore, the energy efficiency index of refrigeration rooms has become an important criterion for evaluating the energy consumption and energy efficiency of computer rooms. The important indicator of the energy efficiency index of refrigeration rooms is energy consumption. Energy consumption refers to the total amount of energy consumed by the computer room in a specific period of time. High energy consumption will bring expensive energy costs and have a significant impact on the environment. The operation of the centralized high-efficiency air-conditioning refrigeration room system is not only related to operation management, but also the key is whether the centralized air-conditioning refrigeration room system design is reasonable. However, at this stage, there is no good monitoring of the equipment of the high-efficiency refrigeration room system, which leads to a poor judgment on the energy efficiency of the high-efficiency refrigeration room system and consumes more electricity.

[0003] In order to solve the defects of the prior art, an energy efficiency measurement and analysis method for a high-efficiency refrigeration room system with a search publication number of CN 118014214A is disclosed, comprising the following steps: S1, selecting a high-efficiency refrigeration room as an energy efficiency measurement and analysis target; S2, acquiring relevant metering data based on the refrigeration room; S3, calculating energy efficiency based on the acquired metering data; S4, analyzing the calculated energy efficiency index to find out the energy efficiency bottleneck in the system operation process; S5, optimizing and improving the room system according to the data analysis results. The present invention facilitates the calculation of the energy efficiency of the high-efficiency refrigeration room by acquiring metering data, and then finds and solves the energy efficiency bottleneck through analysis, improves the system operation efficiency, and reduces the operation cost. Subsequently, the monitoring of the data source equipment by the monitoring equipment facilitates the understanding of the accuracy of the data source, reduces the situation of energy efficiency calculation errors caused by data disorder, and at the same time, daily maintenance also avoids damage to the monitoring equipment and the data source equipment.

[0004] However, the aforementioned technical solution is to optimize the system by collecting data from the refrigeration room to realize energy efficiency calculation, but in fact there is a transmission pipeline between the refrigeration room and the unit, and this part of the pipeline will waste a huge amount of energy efficiency. Therefore, the actual energy efficiency consumed is inconsistent with the data obtained by directly collecting data in the machine room. At the same time, due to the distribution of machine rooms in different distances, there will be uneven temperatures between the machine rooms. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies in the prior art, the present invention provides a refrigeration effect analysis system and method for a high-efficiency refrigeration room based on hydraulic balance, which has the advantages of accurately analyzing the refrigeration effect of the refrigeration room based on hydraulic balance, uniformly distributing the temperature in each area, avoiding uneven refrigeration effect, and solving the problems of the above-mentioned technology.

[0007] (II) Technical solution

[0008] To achieve the above object, the present invention provides the following technical solutions: a refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance, the analysis system consisting of a data acquisition module, a hydraulic balance analysis module, an energy efficiency monitoring and analysis module, an optimization decision support module and a monitoring module;

[0009] The analysis system is used by the data acquisition module to monitor the operating status, temperature, humidity, flow rate and pressure real-time data of the refrigeration equipment, and monitors every minute / time;

[0010] The hydraulic balance analysis module is used to calculate the water flow distribution in each area according to the actual hydraulic conditions and temperature changes, and use the acquired data to calculate the energy efficiency index of the refrigeration system, taking into account the energy consumption loss of the transmission pipeline;

[0011] The energy efficiency monitoring and analysis module is used to analyze the calculated energy efficiency indicators, find out the bottlenecks that affect the operation of the system, and display the temperature and energy efficiency indicators of each area in a graphical manner, and update them in real time;

[0012] The optimization decision support module is used to propose targeted improvement measures based on the data analysis results, including adjusting the flow control valve and optimizing the pipeline design;

[0013] The monitoring module is used to monitor the health status of data acquisition equipment and sensors to ensure the accuracy of data sources;

[0014] The energy efficiency monitoring and analysis module expression is:

[0015] For an incompressible fluid, the expression is:

[0016]

[0017] Among them: u is the velocity field: vector; t is time; ρ is the density of the fluid; p is the pressure field; v is the dynamic viscosity; f is the body force: gravity;

[0018] The energy efficiency index E is defined as the ratio of effective energy output to input energy, expressed as:

[0019] E=Q ou / Q i

[0020] Where: Q ouis the effective output energy: in a refrigeration system, it is the cooling capacity generated; Q i is the energy input: electrical energy consumption;

[0021] In order to identify energy efficiency bottlenecks, the performance indicator energy efficiency ratio COP is defined:

[0022]

[0023] Where: Q oo is the cooling capacity; W i ut is the input power; by analyzing the COP data in different areas, we can find out the areas with lower performance and then identify the bottlenecks that affect the operation of the system.

[0024] Preferably, the collection expression of monitoring data in the analysis module is:

[0025] T(t)=T1,T2,T3,...,T n

[0026] H(t)=H1,H2,H3,...,H n

[0027] Q(t)=Q1,Q2,Q3,...,Q n

[0028] P(t)=P1,P2,P3,...,P n

[0029] S(t)=S1,S2,S3,...,S n

[0030] Where: T(t): temperature at time t, unit: °C; H(t): humidity at time t, unit: %; Q(t): flow rate at time t, unit: m 3 / h; P(t): pressure at time t, unit: Pa; S(t): operating status at time t: normal or abnormal;

[0031] For every minute / time monitoring, it is expressed as a time series: t k =k*1min,k=0,1,2,...,n.

[0032] Preferably, the data analysis indicator expression is:

[0033] Temperature average:

[0034] Humidity average:

[0035] Traffic average:

[0036] Average pressure:

[0037] The standard deviation calculation expression is:

[0038]

[0039]

[0040]

[0041]

[0042] Preferably, the water flow distribution expression in the hydraulic balance analysis module is:

[0043] There are n regions, and the water flow in each region is Q i Indicated by m 3 / h, where i=1,2,…,n, according to the hydraulic balance, the following equation is obtained:

[0044] ∑Q i =Q total

[0045] Where Q total is the total water flow.

[0046] Preferably, the energy efficiency index in the hydraulic balance analysis module calculates the energy efficiency index EER, where EER is expressed as the ratio of cooling capacity to energy consumption, and the energy efficiency index calculation formula is:

[0047]

[0048] Where: Q cooling The cooling capacity provided by the refrigeration system, in kW; P input The power input to the refrigeration system in kW.

[0049] Preferably, the energy loss in the transport pipeline in the hydraulic balance analysis module is expressed as a function of the pressure drop ΔP, and the expression is:

[0050] The energy loss in the pipeline is expressed as:

[0051]

[0052] Where v is the average velocity of the water flow in m / s, which is given by the flow rate Q i The calculations show that:

[0053]

[0054] Where A is the cross-sectional area of ​​the pipe, calculated as:

[0055]

[0056] Where: ρ is the density of water, in kg / m 3 ; g is the acceleration due to gravity, in m / s 2 ;h f is the friction loss height, in m; L is the pipeline length, in m; D is the pipeline diameter, in m; f is the friction factor: dimensionless.

[0057] Preferably, the final energy efficiency index expression in the hydraulic balance analysis module is:

[0058]

[0059] Among them: ПΔP is the energy consumption caused by the transmission pipeline.

[0060] Preferably, the optimization decision support module expression is:

[0061] Assume the flow coefficient of the flow control valve is K v , the valve opening is represented by x, and the flow rate Q is expressed by the following formula:

[0062]

[0063] Where: ΔP is the pressure difference on both sides of the valve;

[0064] Pipeline design optimization: The flow resistance loss expression of the pipeline is:

[0065]

[0066] Where: f is the friction factor: dimensionless; L is the length of the pipeline, in meters; D is the diameter of the pipeline, in meters; ρ is the fluid density, in kg / m 3 ; v is the fluid velocity in m / s; in order to optimize the pipeline design, the objective function is C:

[0067] C=∑(ΔP)+∑(C pipe )

[0068] Where, ∑(ΔP) is the pressure drop of all pipe sections; C pipe is the cost of each pipe section.

[0069] Preferably, the accuracy evaluation of the sensor assumes that the true value of the sensor is V true , the sensor measurement value is V measured The sensor error E is expressed as:

[0070] E=V measured-V true

[0071] The error rate RR is expressed as:

[0072]

[0073] A method for analyzing the cooling effect of a high-efficiency refrigeration room based on hydraulic balance, the steps of the method are as follows:

[0074] Step 1: Data collection: real-time monitoring of the operating status, temperature, humidity, flow rate and pressure of the refrigeration equipment; record relevant data once a minute;

[0075] Step 2: Hydraulic balance analysis: Calculate the water flow distribution in each area based on the actual hydraulic conditions and temperature changes; calculate the energy efficiency index of the refrigeration system through the collected data; consider the energy loss in the transmission pipeline and conduct energy efficiency evaluation;

[0076] Step 3: Energy efficiency monitoring and analysis: Perform data analysis on the calculated energy efficiency indicators to identify bottlenecks in system operation; display the temperature and energy efficiency indicators of each area in a graphical manner and update the data in real time.

[0077] Step 4: Optimize decision support: Based on the data analysis results, propose improvement measures; adjust the flow control valve and optimize the pipeline design;

[0078] Step 5. Monitoring: Monitor the health status of data acquisition equipment and sensors; ensure the accuracy of data and the reliability of analysis results.

[0079] Compared with the prior art, the present invention provides a refrigeration effect analysis system and method for a high-efficiency refrigeration room based on hydraulic balance, which has the following beneficial effects:

[0080] 1. The present invention can obtain detailed and timely data by monitoring the operating status, temperature, humidity, flow rate and pressure of the refrigeration equipment every minute. Data acquisition ensures accurate grasp of the dynamic changes of the system, which is helpful to make more accurate analysis and decision-making. The hydraulic balance analysis module can calculate the water flow distribution of each area according to the actual hydraulic conditions and temperature changes, so as to ensure that the refrigeration effect of each area meets expectations. By calculating the energy efficiency index of the refrigeration system and considering the energy loss of the transmission pipeline, the system comprehensively evaluates the actual performance of the refrigeration system, thereby discovering potential energy efficiency bottlenecks, and achieving the beneficial effect of accurately analyzing the refrigeration effect of the refrigeration room based on hydraulic balance.

[0081] 2. The present invention calculates the water flow distribution of each area through the hydraulic balance analysis module to ensure that the water flow can evenly cover all areas and avoid uneven temperature caused by insufficient or excessive water flow. When calculating the energy efficiency index of the refrigeration system, the energy loss in the transmission pipeline is taken into account, so that the actual refrigeration effect of each area can be more accurately evaluated, and the water flow distribution and pipeline design can be further optimized. The energy efficiency monitoring and analysis module performs data analysis on the calculated energy efficiency index to identify the bottleneck of uneven refrigeration effect. By graphically displaying the temperature data of each area, it is possible to intuitively see which areas have high or low temperatures, and take timely measures to adjust them, thereby achieving uniform temperature distribution in each area and avoiding the beneficial effect of uneven refrigeration effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0083] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0084] See also Figure 1 , a refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance, the analysis system consists of a data acquisition module, a hydraulic balance analysis module, an energy efficiency monitoring and analysis module, an optimization decision support module and a monitoring module;

[0085] The analysis system is used by the data acquisition module to monitor the operating status, temperature, humidity, flow rate and pressure real-time data of the refrigeration equipment, and monitors every minute / time;

[0086] The hydraulic balance analysis module is used to calculate the water flow distribution in each area according to the actual hydraulic conditions and temperature changes, and use the acquired data to calculate the energy efficiency index of the refrigeration system, taking into account the energy consumption loss of the transmission pipeline;

[0087] The energy efficiency monitoring and analysis module is used to analyze the calculated energy efficiency indicators, find out the bottlenecks that affect the operation of the system, and display the temperature and energy efficiency indicators of each area in a graphical manner, and update them in real time;

[0088] The optimization decision support module is used to propose targeted improvement measures based on the data analysis results, including adjusting the flow control valve and optimizing the pipeline design;

[0089] The monitoring module is used to monitor the health status of data acquisition equipment and sensors to ensure the accuracy of data sources;

[0090] The energy efficiency monitoring and analysis module expression is:

[0091] For an incompressible fluid, the expression is:

[0092]

[0093] Among them: u is the velocity field: vector; t is time; ρ is the density of the fluid; p is the pressure field; v is the dynamic viscosity; f is the body force: gravity;

[0094] The energy efficiency index E is defined as the ratio of effective energy output to input energy, expressed as:

[0095] E=Q ou / Q i

[0096] Where: Q ou is the effective output energy: in a refrigeration system, it is the cooling capacity generated; Q i is the energy input: electrical energy consumption;

[0097] In order to identify energy efficiency bottlenecks, the performance indicator energy efficiency ratio COP is defined:

[0098]

[0099] Where: Q oo is the cooling capacity; W i ut is the input power; by analyzing the COP data in different areas, we can find out the areas with lower performance and then identify the bottlenecks that affect the operation of the system.

[0100] Accurate monitoring: By monitoring the operating status, temperature, humidity, flow and pressure of the refrigeration equipment every minute, detailed and timely data can be obtained. This high-frequency data collection ensures accurate grasp of the dynamic changes of the system, which helps to make more accurate analysis and decision-making.

[0101] Accurately distribute water flow: The hydraulic balance analysis module can calculate the water flow distribution of each area according to the actual hydraulic conditions and temperature changes, thereby ensuring that the cooling effect of each area meets expectations.

[0102] Energy efficiency index evaluation: By calculating the energy efficiency index of the refrigeration system and considering the energy loss of the transmission pipeline, the system comprehensively evaluates the actual performance of the refrigeration system to identify potential energy efficiency bottlenecks.

[0103] Bottleneck identification: The energy efficiency monitoring and analysis module can identify bottlenecks in system operation by analyzing energy efficiency indicators. This capability enables managers to locate areas with poor performance and take timely improvement measures.

[0104] Graphical display: The temperature and energy efficiency indicators of each area are graphically displayed and the data is updated in real time, making complex analysis results more intuitive and easy to understand.

[0105] Improvement measures: Based on the data analysis results, the optimization decision support module can propose targeted improvement measures, such as adjusting the flow control valve and optimizing the pipeline design. These improvement measures help improve the overall efficiency and stability of the system.

[0106] Equipment health monitoring: Monitor the health status of data acquisition equipment and sensors to ensure the accuracy of data sources. This helps avoid data deviations caused by equipment failure or sensor errors, thereby ensuring the reliability of analysis results.

[0107] By monitoring the operating status, temperature, humidity, flow and pressure of the refrigeration equipment in real time and recording relevant data every minute, we can accurately understand the actual temperature and cooling effect of each area. This detailed data collection helps to detect and correct the problem of uneven temperature distribution in time.

[0108] Optimize water flow distribution: The hydraulic balance analysis module calculates the water flow distribution of each area to ensure that the water flow can evenly cover all areas. This precise water flow distribution avoids uneven temperature caused by insufficient or excessive water flow.

[0109] Consider energy losses: When calculating the energy efficiency of the refrigeration system, the energy losses in the delivery pipelines are taken into account. This will enable a more accurate assessment of the actual cooling effect in each area and further optimize water flow distribution and pipeline design.

[0110] Identify uneven temperature issues: The energy efficiency monitoring and analysis module analyzes the calculated energy efficiency indicators and identifies bottlenecks of uneven cooling effects. For example, by graphically displaying the temperature data of each area, you can intuitively see which areas have higher or lower temperatures and take timely measures to adjust them.

[0111] Adjust flow control valve: Based on the data analysis results, the optimization decision support module can propose measures to adjust the flow control valve. This optimizes the flow distribution of refrigerant in different areas and solves the problem of uneven temperature caused by uneven flow distribution.

[0112] Optimize pipeline design: By optimizing pipeline design, flow resistance and energy loss can be reduced, and the uniformity of cooling effect can be further improved. This includes adjusting pipeline length, diameter and optimizing pipeline materials to ensure that the refrigerant can be evenly distributed to each area.

[0113] Monitor the health of data acquisition equipment and sensors to ensure the accuracy and reliability of temperature data. This helps avoid uneven temperature problems caused by equipment failure or data errors.

[0114] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance, characterized in that: The analysis system consists of a data acquisition module, a hydraulic balance analysis module, an energy efficiency monitoring and analysis module, an optimization decision support module and a monitoring module; The analysis system is used by the data acquisition module to monitor the operating status, temperature, humidity, flow rate and pressure real-time data of the refrigeration equipment, and monitors every minute / time; The hydraulic balance analysis module is used to calculate the water flow distribution in each area according to the actual hydraulic conditions and temperature changes, and use the acquired data to calculate the energy efficiency index of the refrigeration system, taking into account the energy consumption loss of the transmission pipeline; The energy efficiency monitoring and analysis module is used to analyze the calculated energy efficiency indicators to find out the bottlenecks that affect the operation of the system, and to display the temperature and energy efficiency indicators of each area in a graphical manner and update them in real time; The optimization decision support module is used to propose targeted improvement measures based on the data analysis results, including adjusting the flow control valve and optimizing the pipeline design; The monitoring module is used to monitor the health status of data acquisition equipment and sensors to ensure the accuracy of data sources; The energy efficiency monitoring and analysis module expression is: For an incompressible fluid, the expression is: Among them: u is the velocity field: vector; t is time; ρ is the density of the fluid; p is the pressure field; v is the dynamic viscosity; f is the body force: gravity; The energy efficiency index E is defined as the ratio of effective energy output to input energy, expressed as: E=Q ou / Q i Where: Q ou is the effective output energy: in a refrigeration system, it is the cooling capacity generated; Q i is the energy input: electrical energy consumption; In order to identify energy efficiency bottlenecks, the performance indicator energy efficiency ratio COP is defined: Where: Q oo is the cooling capacity; W i ut is the input power; by analyzing the COP data in different areas, we can find out the areas with lower performance and then identify the bottlenecks that affect the operation of the system.

2. The refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance according to claim 1 is characterized in that: The acquisition expression of monitoring data in the analysis module is: T(t)=T1,T2,T3,…,T n H(t)=H1,H2,H3,…,H n Q(t)=Q1,Q2,Q3,…,Q n P(t)=P1,P2,P3,…,P n S(t)=S1,S2,S3,…,S n Where: T(t): temperature at time t, unit: °C; H(t): humidity at time t, unit: %; Q(t): flow rate at time t, unit: m 3 / h; P(t): pressure at time t, unit: Pa; S(t): operating status at time t: normal or abnormal; For every minute / time monitoring, it is expressed as a time series: t k =k*1min,k=0,1,2,…,n.

3. The refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance according to claim 2 is characterized in that: The data analysis indicator expression is: Temperature average: Humidity average: Traffic average: Average pressure: The standard deviation calculation expression is:

4. The refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance according to claim 3 is characterized in that: The water flow distribution expression in the hydraulic balance analysis module is: There are n regions, and the water flow in each region is Q i Indicated by m 3 / h, where i=1,2,…,n, according to the hydraulic balance, the following equation is obtained: ΣQ i =Q total Where Q total is the total water flow.

5. The refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance according to claim 4 is characterized in that: The energy efficiency index in the hydraulic balance analysis module calculates the energy efficiency index EER, where EER is expressed as the ratio of cooling capacity to energy consumption. The energy efficiency index calculation formula is: Where: Q cooling The cooling capacity provided by the refrigeration system, in kW; P input The power input to the refrigeration system in kW.

6. The refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance according to claim 5 is characterized in that: The energy loss in the transmission pipeline in the hydraulic balance analysis module is expressed as a function of the pressure drop ΔP, and the expression is: The energy loss in the pipeline is expressed as: Where v is the average velocity of the water flow in m / s, which is given by the flow rate Q i The calculations show that: Where A is the cross-sectional area of ​​the pipe, calculated as: Where: ρ is the density of water, in kg / m 3 ; g is the acceleration due to gravity, in m / s 2 ;h f is the friction loss height, in m; L is the pipeline length, in m; D is the pipeline diameter, in m; f is the friction factor: dimensionless.

7. The refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance according to claim 6 is characterized in that: The final energy efficiency index expression in the hydraulic balance analysis module is: Among them: П(ΔP) is the energy consumption caused by the transmission pipeline.

8. The refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance according to claim 7 is characterized in that: The optimization decision support module expression is: Assume the flow coefficient of the flow control valve is K v , the valve opening is represented by x, and the flow rate Q is expressed by the following formula: Where: ΔP is the pressure difference on both sides of the valve; Pipeline design optimization: The flow resistance loss expression of the pipeline is: Where: f is the friction factor: dimensionless; L is the length of the pipeline, in meters; D is the diameter of the pipeline, in meters; ρ is the fluid density, in kg / m 3 ; v is the fluid velocity in m / s; in order to optimize the pipeline design, the objective function is C: C=∑(ΔP)+∑(C pipe ) Where, ∑(ΔP) is the pressure drop of all pipe sections; C pipe is the cost of each pipe section.

9. The refrigeration effect analysis system for a high-efficiency refrigeration room based on hydraulic balance according to claim 8, characterized in that: The accuracy evaluation of the sensor assumes that the true value of the sensor is V true , the sensor measurement value is V measured The sensor error E is expressed as: E=V measured -V true The error rate RR is expressed as:

10. A method for analyzing the cooling effect of a high-efficiency refrigeration room based on hydraulic balance, characterized in that: The analysis method is used in the analysis system of claim 1, and the steps of the analysis method are: Step 1: Data collection: real-time monitoring of the operating status, temperature, humidity, flow rate and pressure of the refrigeration equipment; record relevant data once a minute; Step 2: Hydraulic balance analysis: Calculate the water flow distribution in each area based on the actual hydraulic conditions and temperature changes; calculate the energy efficiency index of the refrigeration system through the collected data; consider the energy loss in the transmission pipeline and conduct energy efficiency evaluation; Step 3: Energy efficiency monitoring and analysis: Perform data analysis on the calculated energy efficiency indicators to identify bottlenecks in system operation; display the temperature and energy efficiency indicators of each area in a graphical manner and update the data in real time. Step 4: Optimize decision support: Based on the data analysis results, propose improvement measures; adjust the flow control valve and optimize the pipeline design; Step 5. Monitoring: Monitor the health status of data acquisition equipment and sensors; ensure the accuracy of data and the reliability of analysis results.

Images