Hydraulic cooling system intelligent evaluation method based on virtual simulation

Abstract

The invention belongs to the technical field of hydraulic cooling, and particularly discloses and provides a hydraulic cooling system intelligent evaluation method based on virtual simulation, which comprises the following steps: setting a temperature simulation scene of a hydraulic cooling system, performing simulation in the temperature simulation scene, performing performance analysis according to simulation data, and determining the performance of the hydraulic cooling system. A cooling performance qualified index, a stability qualified index and a reliability qualified index of the hydraulic cooling system are obtained, so that a performance evaluation report is generated; the hydraulic cooling system is evaluated and analyzed from the three dimensions of the cooling performance, the stability performance and the reliability performance of the hydraulic cooling system, the accuracy of the evaluation and analysis result of the hydraulic cooling system is guaranteed, and therefore the accuracy of fault risk evaluation of the hydraulic cooling system is improved, subsequent maintenance and management are facilitated, and the working efficiency is improved. Meanwhile, the virtual simulation technology is applied to analysis and evaluation of the hydraulic cooling system, and virtual simulation of the hydraulic cooling system at different temperatures is achieved.

Description

Technical Field

[0001] The invention belongs to the technical field of hydraulic cooling and relates to an intelligent evaluation method for a hydraulic cooling system based on virtual simulation. Background Art

[0002] The hydraulic cooling system is a key device to ensure the stable operation of the hydraulic system. When the hydraulic system is working, the temperature of the hydraulic oil will rise due to various reasons. The hydraulic cooling system transfers the heat in the hydraulic oil to the cooling medium through radiator cooling or a combination of air cooling and water cooling to achieve cooling. At the same time, the oil temperature is monitored and regulated in real time with the help of temperature sensors and control systems to ensure that the oil temperature is always kept within the appropriate range, thereby ensuring the performance, reliability and safety of the hydraulic system.

[0003] For example, the Chinese patent with authorization announcement number CN115559964B discloses a hydraulic oil cooling device and cooling method in a hydraulic station. The present invention relates to the field of hydraulic technology. The present invention discloses a hydraulic oil cooling device and cooling method in a hydraulic station, including: a support frame, a control module, a monitoring module, a precooling mechanism, a cooling and heat preservation mechanism, a liquid outlet pump, a solenoid valve, a liquid inlet pump and a refrigerator; the control module is arranged at the bottom end of the front side of the support frame; the precooling mechanism is arranged on the inner side of the support frame; the cooling and heat preservation mechanism is arranged on the front side of the top of the precooling mechanism; the liquid outlet pump is installed at the top of the precooling mechanism and is located at the front side of the cooling and heat preservation mechanism. The solenoid valve is arranged on the right side of the top of the precooling mechanism; the liquid inlet pump is arranged on the rear side of the top of the precooling mechanism; the refrigerator is arranged on the right side of the precooling mechanism; the hydraulic oil cooling device in the hydraulic station adopts a cold and heat exchange method combining water cooling and air cooling for cooling, thereby improving the cooling speed and cooling effect of the hydraulic oil, and can penetrate deep into the hydraulic oil for rapid cooling.

[0004] The above existing technologies have the following deficiencies: 1. The current evaluation and analysis of the hydraulic cooling system mainly focuses on the analysis of the cooling performance, that is, the stability and reliability performance of the hydraulic cooling system are not analyzed, and thus the accuracy of the evaluation and analysis results of the hydraulic cooling system cannot be guaranteed, and the failure risk of the hydraulic cooling system cannot be accurately assessed. At the same time, the stability, reliability and safety of the hydraulic cooling system operation cannot be guaranteed, and the subsequent maintenance and management of the hydraulic cooling system are affected.

[0005] 2. The current temperature analysis of the hydraulic cooling system is only for a specific operating temperature range, and no further analysis is performed on the conditions beyond the specific temperature range, which cannot meet the diverse requirements of the hydraulic cooling system, thereby increasing the probability of potential risks being ignored and causing serious safety hazards. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, an intelligent evaluation method of a hydraulic cooling system based on virtual simulation is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent evaluation method for a hydraulic cooling system based on virtual simulation, comprising: step one, hydraulic cooling parameter collection: collecting detailed parameters of the hydraulic cooling system, including the allowable temperature of the hydraulic oil, the leakage coefficient of the seal, the length, diameter, roughness of the pipeline, and the specific heat capacity of the cooling medium and the hydraulic oil.

[0008] Step 2: Hydraulic cooling scenario simulation: Set the temperature simulation scenario of the hydraulic cooling system.

[0009] Step 3: Hydraulic cooling simulation tracking: Import the hydraulic cooling system into the temperature simulation scenario, perform simulation under the temperature simulation scenario, and record the simulation data of the hydraulic cooling system under each temperature simulation scenario.

[0010] Step 4: Hydraulic cooling performance analysis: Based on the simulation data of the hydraulic cooling system under various temperature simulation scenarios, a performance analysis is performed to obtain performance analysis results.

[0011] S1. Perform cooling analysis on the hydraulic cooling system to obtain a cooling performance qualification index of the hydraulic cooling system.

[0012] S2. Conduct stability analysis on the hydraulic cooling system to obtain a qualified index of the stability performance of the hydraulic cooling system.

[0013] S3. Conduct a reliability analysis of the hydraulic cooling system to obtain a reliability performance qualified index of the hydraulic cooling system, and then use the cooling performance qualified index, the stability performance qualified index and the reliability performance qualified index of the hydraulic cooling system as performance analysis results.

[0014] Step 5: Hydraulic cooling evaluation report: Generate a performance evaluation report of the hydraulic cooling system based on the performance analysis results.

[0015] Preferably, the cooling analysis of the hydraulic cooling system includes: A1, extracting the temperature of the hydraulic oil of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculating the control qualification index δ of the hydraulic cooling system 1 .

[0016] A2. According to the simulation data of the hydraulic cooling system under various temperature simulation scenarios, the heat dissipation efficiency qualification index δ of the hydraulic cooling system is calculated. 2 .

[0017] A3. Statistical cooling performance qualification index of hydraulic cooling system r 1 and r 2 are the weights of the control qualification index and heat dissipation efficiency qualification index, r 1 +r 2 =1, r 1 <r 2 .

[0018] Preferably, the statistical control qualification index of the hydraulic cooling system includes: taking the monitoring time point as the horizontal coordinate and the temperature as the vertical coordinate, constructing a temperature change curve of the hydraulic cooling system under various temperature conditions.

[0019] According to the permissible temperature of the hydraulic oil in the hydraulic cooling system, permissible temperature reference lines are respectively constructed in the temperature variation curves under various temperature conditions of the hydraulic cooling system.

[0020] Extract the length of the curve segment below the allowable temperature reference line in the temperature change curve of the hydraulic cooling system under various temperature conditions and record it as L i , i is the temperature condition number, i=1, 2,..., m.

[0021] The length of the temperature change curve of the hydraulic cooling system under various temperature conditions is recorded as L i ′, and then L i With L i The ratio of ′ is taken as the temperature control qualification index of the hydraulic cooling system under various temperature conditions.

[0022] The temperature control qualified index of the hydraulic cooling system under various temperature conditions is averaged and the calculated result is used as the control qualified index of the hydraulic cooling system and recorded as δ 1 .

[0023] Preferably, the statistical heat dissipation efficiency qualification index of the hydraulic cooling system includes: extracting the temperature of the radiator inlet and outlet and the flow rate of the cooling medium of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then statistically calculating the heat dissipation φ of the hydraulic cooling system.

[0024] The input power, output flow and output pressure of the hydraulic pump of the hydraulic cooling system at each monitoring time point under each temperature condition are extracted from the simulation data of the hydraulic cooling system in each temperature simulation scenario, and then the calorific value Q′ of the hydraulic cooling system is calculated.

[0025] The ratio of φ to Q′ is taken as the heat dissipation efficiency of the hydraulic cooling system, which can be expressed as

[0026] Statistical analysis of the heat dissipation efficiency qualification index δ of the hydraulic cooling system 2 , is the heat dissipation efficiency for setting the reference, and e is a natural constant.

[0027] Preferably, the statistical heat dissipation of the hydraulic cooling system includes: subtracting the temperatures of the radiator inlet and outlet of the hydraulic cooling system at each monitoring time point under each temperature condition to obtain the radiator inlet and outlet temperature difference of the hydraulic cooling system at each monitoring time point under each temperature condition, recorded as λ ij , j is the monitoring point number, j=1, 2,..., n.

[0028] The flow rate of the cooling medium of the hydraulic cooling system at each monitoring time point under each temperature condition is recorded as ε ij .

[0029] The specific heat capacity of the cooling medium is denoted as α.

[0030] Statistical heat dissipation φ of the hydraulic cooling system, n is the number of monitoring points, and m is the number of temperature conditions.

[0031] Preferably, the counting of the heat generation of the hydraulic cooling system includes: recording the input power, output flow rate and output pressure of the hydraulic pump at a certain monitoring time point under a certain temperature condition as P in , ε′ and β.

[0032] Calculate the total efficiency η of the hydraulic pump at the monitoring time point under the temperature condition,

[0033] Statistical calculation of the efficiency heat loss Q of the hydraulic pump at this monitoring time under this temperature condition loss , Q loss =P in *(1-η).

[0034] According to the length, diameter and roughness of the hydraulic cooling system pipeline, the flow rate of the hydraulic oil at the monitoring time point under the temperature condition is extracted from the simulation data of the hydraulic cooling system under various temperature simulation scenarios, and then the pressure and heat loss of the pipeline of the hydraulic cooling system at the monitoring time point under the temperature condition is calculated by the fluid mechanics formula, which is recorded as Q 1 .

[0035] The inlet pressure, outlet pressure and flow rate of the threshold at the monitoring time point under the temperature condition are extracted from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then the throttling heat loss of the threshold is calculated by the thermodynamic formula, which is recorded as Q 2 .

[0036] According to the leakage coefficient of the hydraulic cooling system seal and the specific heat capacity of the hydraulic oil, the pressure of the leakage point at the monitoring time point under the temperature condition is extracted from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then the leakage heat loss is statistically obtained, which is recorded as Q3 .

[0037] Q loss , Q 1 , Q 2 and Q 3 The sum is calculated to obtain the calorific value at the monitoring time point under the temperature condition, and then the calorific value of the hydraulic cooling system at each monitoring time point under each temperature condition is statistically obtained, and the average is calculated, and the calculation result is used as the calorific value of the hydraulic cooling system, recorded as Q′.

[0038] Preferably, the stability analysis of the hydraulic cooling system includes: extracting the pressure and flow of the hydraulic oil of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculating the stability qualification index of the hydraulic cooling system under each temperature condition.

[0039] According to the temperature condition of the hydraulic cooling system, the temperature condition of the hydraulic cooling system is divided into temperature conditions of each temperature interval according to the pre-set temperature interval, and the temperature interval conditions include a low temperature interval, a normal temperature interval and a high temperature interval.

[0040] The stability qualified index under each temperature condition in each temperature interval is averaged and the calculation result is used as the stability qualified index of each temperature interval, so as to obtain the stability qualified index of the low temperature interval, the normal temperature interval and the high temperature interval, and they are respectively recorded as ξ 1 , 2 and 3 .

[0041] Statistics on the stability performance qualified index of hydraulic cooling system w 1 、w 2 and w 3 are the weights of the set low temperature range stability qualified index, normal temperature range stability qualified index and high temperature range stability qualified index, respectively, w 1 +w 2 +w 3 =1,w 2 >w 3 >w 1 .

[0042] Preferably, the statistically calculating the stability qualification index of the hydraulic cooling system under various temperature conditions includes: combining each monitoring time point under a certain temperature condition in pairs to obtain each monitoring time group.

[0043] The temperatures, pressures and flows in each monitoring time group are respectively subtracted to obtain the temperature difference, pressure difference and flow difference of each monitoring time group.

[0044] The temperature difference, pressure difference and flow difference of each monitoring time group are compared with the set reference temperature difference, pressure difference and flow difference respectively. If the temperature difference, pressure difference and flow difference of a monitoring time group are all smaller than the set reference temperature difference, pressure difference and flow difference, then the monitoring time group is recorded as a stable time group, and then the number of stable time groups under the temperature condition is counted.

[0045] The number of time groups under the temperature condition is counted, and the ratio of the number of stable time groups to the number of time groups is used as the stability qualification index under the temperature condition, thereby obtaining the stability qualification index of the hydraulic cooling system under each temperature condition.

[0046] Preferably, the reliability analysis of the hydraulic cooling system includes: extracting the number of failures of the hydraulic cooling system within a set time period under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculating the reliability τ of the hydraulic cooling system under each temperature condition. i .

[0047] The ratio of the set time of the hydraulic cooling system under various temperature conditions to the number of failures is taken as the mean time between failures of the hydraulic cooling system under various temperature conditions, denoted as θ i .

[0048] Statistical reliability performance index of hydraulic cooling system θ′ and τ′ are the MTBF and reliability of the set reference respectively.

[0049] Preferably, the statistical reliability of the hydraulic cooling system under various temperature conditions includes: recording the set time and the number of failures of the hydraulic cooling system under various temperature conditions as ψ i and D i .

[0050] Statistics on the failure rate of hydraulic cooling system under various temperature conditions i ,

[0051] Statistical reliability of hydraulic cooling system under various temperature conditions τ i ,

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention avoids the current deficiency of not analyzing the stability and reliability of the hydraulic cooling system by evaluating and analyzing the hydraulic cooling system from three dimensions: the cooling performance, stability performance and reliability performance of the hydraulic cooling system, thereby ensuring the accuracy of the evaluation and analysis results of the hydraulic cooling system, thereby improving the accuracy of the failure risk assessment of the hydraulic cooling system, thereby ensuring the stability, reliability and safety of the hydraulic cooling system operation, and facilitating the subsequent maintenance and management of the hydraulic cooling system.

[0053] (2) The present invention applies virtual simulation technology to the analysis and evaluation of the hydraulic cooling system, thereby breaking the current deficiency of not further analyzing the situation beyond a specific temperature range, and realizing the virtual simulation of the hydraulic cooling system at different temperatures, thereby meeting the temperature diversification requirements of the hydraulic cooling system, thereby reducing the probability of potential risks being ignored, and reducing the safety hazards of the hydraulic cooling system.

[0054] (3) The present invention comprehensively analyzes the stability performance qualification index of the hydraulic cooling system by using the low-temperature range stability qualification index, the normal-temperature range stability qualification index and the high-temperature range stability qualification index, thereby improving the comprehensiveness and reliability of the stability analysis results of the hydraulic cooling system, thereby improving the timeliness of discovering potential temperature problems in the hydraulic cooling system.

[0055] (4) The present invention constructs a temperature change curve of the hydraulic cooling system under various temperature conditions to analyze the control qualification index of the hydraulic cooling system, thereby facilitating an intuitive reflection of the temperature change of the hydraulic cooling system at different time points, and at the same time improving the accuracy of the analysis results of the control qualification index of the hydraulic cooling system. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0057] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention.

[0058] Figure 2 It is a connection diagram of the performance analysis steps of the present invention.

[0059] Figure 3 It is a schematic diagram of the connection steps of the cooling analysis of the hydraulic cooling system of the present invention. DETAILED DESCRIPTION

[0060] 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.

[0061] See also Figure 1 As shown, the present invention provides an intelligent evaluation method for a hydraulic cooling system based on virtual simulation, the method comprising: step one, hydraulic cooling parameter collection: collecting detailed parameters of the hydraulic cooling system, including the allowable temperature of the hydraulic oil, the leakage coefficient of the seal, the length, diameter, roughness of the pipeline, and the specific heat capacity of the cooling medium and the hydraulic oil.

[0062] Step 2: Hydraulic cooling scenario simulation: Set the temperature simulation scenario of the hydraulic cooling system.

[0063] Step 3: Hydraulic cooling simulation tracking: Import the hydraulic cooling system into the temperature simulation scenario, perform simulation under the temperature simulation scenario, and record the simulation data of the hydraulic cooling system under each temperature simulation scenario.

[0064] It should be added that the simulation data of the hydraulic cooling system under each temperature simulation scenario includes: the temperature, flow rate, pressure and flow rate of the hydraulic oil at each monitoring time point under each temperature condition of the hydraulic cooling system, the temperature of the radiator inlet and outlet and the flow rate of the cooling medium at each monitoring time point under each temperature condition of the hydraulic cooling system, the input power, output flow rate and output pressure of the hydraulic pump at each monitoring time point under each temperature condition of the hydraulic cooling system, the threshold inlet pressure, outlet pressure and flow rate of the hydraulic cooling system at each monitoring time point under each temperature condition, the pressure of the leakage point of the hydraulic cooling system at each monitoring time point under each temperature condition, and the number of failures of the hydraulic cooling system within a set time period under each temperature condition.

[0065] It should be added that the temperature of the hydraulic oil is monitored by a temperature sensor, the flow rate of the hydraulic oil is monitored by a turbine flowmeter, the pressure of the hydraulic oil is monitored by a pressure sensor, and the flow rate of the hydraulic oil is monitored by a turbine flowmeter.

[0066] It should be added that the temperatures of the radiator inlet and outlet are monitored by temperature sensors installed at the radiator inlet and outlet, and the flow rate of the cooling medium is monitored by a turbine flowmeter installed on the cooling medium pipeline.

[0067] It should be supplemented that the input power of the hydraulic pump is monitored by a power sensor installed on the hydraulic pump, the output flow of the hydraulic pump is monitored by a flow meter installed on the outlet pipe of the hydraulic pump, and the output pressure of the hydraulic pump is monitored by a pressure sensor installed at the outlet of the hydraulic pump.

[0068] It should be added that the input power of the hydraulic pump can also be calculated by using the flow rate and pressure: The input power P of the hydraulic pump is calculated as follows: in , p and q are the output pressure and actual flow of the hydraulic pump, respectively. For example, if the output pressure of the hydraulic pump is 10 MPa and the actual flow is 50 L / min, then the input power is

[0069] It should be supplemented that the inlet pressure of the threshold is monitored by a pressure sensor installed at the threshold inlet, the outlet pressure of the threshold is monitored by a pressure sensor installed at the threshold outlet, and the flow rate of the threshold is monitored by a flow meter installed at the threshold outlet.

[0070] It should also be added that the pressure at the leakage point is monitored by a pressure sensor installed near the leakage point, and the specific heat capacity of the hydraulic oil is 2.1 kJ / (kg·℃).

[0071] The embodiment of the present invention applies virtual simulation technology to the analysis and evaluation of the hydraulic cooling system, breaking the current deficiency of not further analyzing the situation beyond a specific temperature range, and realizing the virtual simulation of the hydraulic cooling system at different temperatures, thereby meeting the temperature diversification requirements of the hydraulic cooling system, thereby reducing the probability of potential risks being ignored and reducing the safety hazards of the hydraulic cooling system.

[0072] Step 4: Hydraulic cooling performance analysis: Based on the simulation data of the hydraulic cooling system under various temperature simulation scenarios, a performance analysis is performed to obtain performance analysis results.

[0073] See also Figure 2 As shown, S1, perform cooling analysis on the hydraulic cooling system to obtain a cooling performance qualification index of the hydraulic cooling system.

[0074] See also Figure 3 As shown, illustratively, the cooling analysis of the hydraulic cooling system includes: A1, extracting the temperature of the hydraulic oil of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculating the control qualification index δ of the hydraulic cooling system 1 .

[0075] Furthermore, the statistical control qualification index of the hydraulic cooling system includes: A1-1, using the monitoring time point as the horizontal coordinate and the temperature as the vertical coordinate to construct a temperature change curve of the hydraulic cooling system under various temperature conditions.

[0076] A1-2. According to the permissible temperature of the hydraulic oil in the hydraulic cooling system, permissible temperature reference lines are respectively constructed in the temperature variation curves under various temperature conditions of the hydraulic cooling system.

[0077] A1-3. Extract the length of the curve section below the allowable temperature reference line in the temperature change curve of the hydraulic cooling system under various temperature conditions and record it as L i , i is the temperature condition number, i=1, 2,..., m.

[0078] A1-4. The length of the temperature change curve of the hydraulic cooling system under various temperature conditions is recorded as L i ′, and then L i With L i The ratio of ′ is taken as the temperature control qualification index of the hydraulic cooling system under various temperature conditions.

[0079] A1-5. Calculate the average value of the temperature control qualified index of the hydraulic cooling system under various temperature conditions, and use the calculation result as the control qualified index of the hydraulic cooling system, and record it as δ 1 .

[0080] The embodiment of the present invention constructs a temperature change curve of the hydraulic cooling system under various temperature conditions to analyze the control qualification index of the hydraulic cooling system, thereby facilitating an intuitive reflection of the temperature change of the hydraulic cooling system at different time points, while improving the accuracy of the analysis results of the control qualification index of the hydraulic cooling system.

[0081] A2. According to the simulation data of the hydraulic cooling system under various temperature simulation scenarios, the heat dissipation efficiency qualification index δ of the hydraulic cooling system is calculated. 2 .

[0082] Furthermore, the statistical heat dissipation efficiency qualified index of the hydraulic cooling system includes: A2-1, extracting the temperature of the radiator inlet and outlet and the flow rate of the cooling medium at each monitoring time point under each temperature condition of the hydraulic cooling system from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculating the heat dissipation φ of the hydraulic cooling system.

[0083] Furthermore, the statistical heat dissipation of the hydraulic cooling system includes: A2-1-1, subtracting the temperatures of the radiator inlet and outlet of the hydraulic cooling system at each monitoring time point under each temperature condition to obtain the radiator inlet and outlet temperature difference of the hydraulic cooling system at each monitoring time point under each temperature condition, recorded as λ ij, j is the monitoring point number, j=1, 2,..., n.

[0084] A2-1-2. The flow rate of the cooling medium of the hydraulic cooling system at each monitoring time point under each temperature condition is recorded as ε ij .

[0085] A2-1-3. Let the specific heat capacity of the cooling medium be α.

[0086] A2-1-4. Calculate the heat dissipation φ of the hydraulic cooling system. n is the number of monitoring points, and m is the number of temperature conditions.

[0087] In a specific embodiment, assuming that the cooling medium is water, the flow rate is 10m 3 / h, the inlet and outlet temperature difference is 5℃, and the specific heat capacity of water is 4.18kJ / (kg·℃). First, convert the flow rate into mass flow rate, 1m 3 The mass of water is 1000kg, so the mass flow rate is 10×1000=10000kg / h. Then the heat dissipation = 10000×4.18×5=209000kJ / h=58.06kW.

[0088] A2-2. Extract the input power, output flow rate and output pressure of the hydraulic pump of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculate the calorific value Q′ of the hydraulic cooling system.

[0089] Furthermore, the method of calculating the heat generated by the hydraulic cooling system includes: A2-2-1, recording the input power, output flow rate and output pressure of the hydraulic pump at a certain monitoring time point under a certain temperature condition as P in , ε′ and β.

[0090] A2-2-2. Calculate the total efficiency η of the hydraulic pump at the monitoring time point under the temperature condition.

[0091] In a specific embodiment, the output flow rate of the pump is 50 L / min, the output pressure is 10 MPa, and the input power is 10 kW.

[0092] Convert the output flow into m 3 / s, that is

[0093] Output power P 0ut =0.833*10 -3 *10*10 6 =8.33kW, then the total efficiency of the pump

[0094] A2-2-3. Calculate the efficiency heat loss Q of the hydraulic pump at the monitoring time point under the temperature condition loss , Q loss =P in *(1-η).

[0095] In a specific embodiment, if the input power of the hydraulic pump is 10 kW and the efficiency is 80%, the efficiency heat loss of the hydraulic pump is Q loss =10*(1-80%)=2kW.

[0096] A2-2-4. Based on the length, diameter and roughness of the hydraulic cooling system pipeline, the flow rate of the hydraulic oil at the monitoring time point under the temperature condition is extracted from the simulation data of the hydraulic cooling system under various temperature simulation scenarios, and then the pressure and heat loss of the pipeline of the hydraulic cooling system at the monitoring time point under the temperature condition is calculated by the fluid mechanics formula, which is recorded as Q 1 .

[0097] It should be added that the specific process of calculating the pressure energy loss of the pipeline of the hydraulic cooling system at the monitoring time point under the temperature condition by the fluid mechanics formula is as follows: the length, diameter, roughness of the pipeline of the hydraulic cooling system and the flow rate of the fluid are respectively recorded as L", d, and v.

[0098] Statistical Pipe Reynolds Number R e , ρ and μ are the density and dynamic viscosity of the fluid respectively. For smooth pipes, the friction coefficient can be calculated by theoretical formulas, and for rough pipes, the friction coefficient can be determined according to empirical formulas or charts.

[0099] Statistical pipeline pressure loss h f , g and f are the acceleration due to gravity and the friction coefficient respectively.

[0100] Convert the pressure loss of the pipeline into pressure heat loss Q 1 , Q 1 =ΔP*ε v , ΔP and ε v are the pressure loss and the volume flow rate of the fluid respectively.

[0101] In a specific embodiment, if the fluid is water, the water flows in a steel pipe with a diameter of 0.1 m and a length of 10 m, the flow rate is 2 m / s, and the density of the water is 1000 kg / m 3 , the dynamic viscosity is 0.001Pa*s, and the volume flow rate of water is 0.01m 3 / s.

[0102] Statistical Pipe Reynolds Number R e , Then, the friction coefficient f of the pipeline is determined according to the empirical formula, f=0.02.

[0103] Statistical pipeline pressure loss h f ,

[0104] Statistical pressure loss ΔP, ΔP = ρ*g*h f =1000*9.81*0.408=3.999.48Pa, and then convert the pressure loss of the pipeline into pressure heat loss Q 1 , Q 1 =3999.48*0.01=39.9948W.

[0105] A2-2-5. Extract the threshold inlet pressure, outlet pressure and flow rate at the monitoring time point under the temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculate the threshold throttling heat loss through the thermodynamic formula, which is recorded as Q 2 .

[0106] It should be added that the specific process of calculating the throttling heat loss of the threshold through the thermodynamic formula is: the inlet pressure, outlet pressure and flow rate of the threshold at the monitoring time point under the temperature condition are respectively recorded as and ε″.

[0107] Pressure difference of statistical threshold

[0108] According to Bernoulli's equation Among them is pressure, ρ is the fluid density, v is the flow velocity. Since the density of the fluid before and after throttling changes very little, it can be approximately considered as an incompressible fluid, and the change in kinetic energy is ignored, and the power loss of throttling is obtained as P = ΔP*ε″.

[0109] According to the law of conservation of energy, all the power lost by throttling is converted into heat, i.e. Q 2 =P*t, t is time.

[0110] In one embodiment, if the threshold inlet pressure is Threshold outlet pressure The flow rate is ε″=50L / min, and the fluid density is ρ=900kg / m 3 , time is t=60s.

[0111] Pressure difference of statistical threshold

[0112] Statistical throttling loss power P, P = 2*10 6*0.833*10 -3 = 1666W, and then calculate the threshold throttling heat loss Q 2 , Q 2 =1666*60=99960J.

[0113] A2-2-6. Based on the leakage coefficient of the hydraulic cooling system seal and the specific heat capacity of the hydraulic oil, the pressure of the leakage point at the monitoring time point under the temperature condition is extracted from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then the leakage heat loss is statistically obtained, which is recorded as Q 3 .

[0114] In a specific embodiment, if the leakage coefficient of the hydraulic cooling system seal is k = 0.01 mL / min / MPa, the pressure is The specific heat capacity of hydraulic oil is c = 2000 J / (kg·K).

[0115] Statistical leakage loss flow ε″′, and convert it to SI units,

[0116] Statistical leakage heat loss Q 3 ,

[0117] A2-2-7, Q loss , Q 1 , Q 2 and Q 3 The sum is calculated to obtain the calorific value at the monitoring time point under the temperature condition, and then the calorific value of the hydraulic cooling system at each monitoring time point under each temperature condition is statistically obtained, and the average is calculated, and the calculation result is used as the calorific value of the hydraulic cooling system, recorded as Q′.

[0118] A2-3. The ratio of φ to Q′ is taken as the heat dissipation efficiency of the hydraulic cooling system, which is expressed as

[0119] A2-4. Statistical analysis of the heat dissipation efficiency index of the hydraulic cooling system δ 2 , is the heat dissipation efficiency for setting the reference, and e is a natural constant.

[0120] A3. Statistical cooling performance qualification index of hydraulic cooling system r 1 and r 2 are the weights of the control qualification index and heat dissipation efficiency qualification index, r 1 +r 2 =1, r 1 <r2 .

[0121] It should be added that in the server cooling system of a large data center, efficient heat dissipation is required to ensure the normal operation of the server. If the heat dissipation efficiency is not high, the server may shut down due to overheating, affecting the normal operation of the data center. Therefore, setting r 1 <r 2 , for the convenience of analysis, r 1 The specific value can be 0.4, r 2 The specific value can be 0.6.

[0122] S2. Conduct stability analysis on the hydraulic cooling system to obtain a qualified index of the stability performance of the hydraulic cooling system.

[0123] Exemplarily, the stability analysis of the hydraulic cooling system includes: extracting the pressure and flow of the hydraulic oil of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculating the stability qualification index of the hydraulic cooling system under each temperature condition.

[0124] Furthermore, the statistical stability qualification index of the hydraulic cooling system under various temperature conditions includes: combining each monitoring time point under a certain temperature condition in pairs to obtain each monitoring time group.

[0125] The temperatures, pressures and flows in each monitoring time group are respectively subtracted to obtain the temperature difference, pressure difference and flow difference of each monitoring time group.

[0126] The temperature difference, pressure difference and flow difference of each monitoring time group are compared with the set reference temperature difference, pressure difference and flow difference respectively. If the temperature difference, pressure difference and flow difference of a monitoring time group are all smaller than the set reference temperature difference, pressure difference and flow difference, then the monitoring time group is recorded as a stable time group, and then the number of stable time groups under the temperature condition is counted.

[0127] The number of time groups under the temperature condition is counted, and the ratio of the number of stable time groups to the number of time groups is used as the stability qualification index under the temperature condition, thereby obtaining the stability qualification index of the hydraulic cooling system under each temperature condition.

[0128] According to the temperature condition of the hydraulic cooling system, the temperature condition of the hydraulic cooling system is divided into temperature conditions of each temperature interval according to the pre-set temperature interval, and the temperature interval conditions include a low temperature interval, a normal temperature interval and a high temperature interval.

[0129] The stability qualified index under each temperature condition in each temperature interval is averaged and the calculation result is used as the stability qualified index of each temperature interval, so as to obtain the stability qualified index of the low temperature interval, the normal temperature interval and the high temperature interval, and they are respectively recorded as ξ 1 , 2 and 3 .

[0130] Statistics on the stability performance qualified index of hydraulic cooling system w 1 、w 2 and w 3 are the weights of the set low temperature range stability qualified index, normal temperature range stability qualified index and high temperature range stability qualified index, respectively, w 1 +w 2 +w 3 =1,w 2 >w 3 >w 1 .

[0131] It should be added that normal temperature is the main working temperature range of most hydraulic cooling systems. In practical applications, the hydraulic cooling system usually runs the longest at normal temperature, and the stability of the normal temperature range is crucial to the overall performance and reliability of the hydraulic cooling system. High temperature will cause greater thermal stress on the components of the hydraulic cooling system, accelerate material aging, and reduce sealing performance, thereby indirectly affecting the stability of the hydraulic cooling system. The working state in the low temperature range is relatively small, so the impact on the overall performance of the hydraulic cooling system is relatively small. Therefore, w is set 2 >w 3 >w 1 , for the convenience of analysis, w 1 The specific value can be 0.2, w 2 The specific value can be 0.5, w 3 The specific value can be 0.3.

[0132] The embodiment of the present invention comprehensively analyzes the stability performance qualification index of the hydraulic cooling system through the low-temperature range stability qualification index, the normal temperature range stability qualification index and the high temperature range stability qualification index, thereby improving the comprehensiveness and reliability of the stability analysis results of the hydraulic cooling system, thereby improving the timeliness of discovering potential temperature problems in the hydraulic cooling system.

[0133] S3. Conduct a reliability analysis of the hydraulic cooling system to obtain a reliability performance qualified index of the hydraulic cooling system, and then use the cooling performance qualified index, the stability performance qualified index and the reliability performance qualified index of the hydraulic cooling system as performance analysis results.

[0134] Exemplarily, the reliability analysis of the hydraulic cooling system includes: extracting the number of failures of the hydraulic cooling system within a set time period under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculating the reliability τ of the hydraulic cooling system under each temperature condition. i .

[0135] Furthermore, the statistical reliability of the hydraulic cooling system under various temperature conditions includes: recording the set time and the number of failures of the hydraulic cooling system under various temperature conditions as ψ i and D i .

[0136] Statistics on the failure rate of hydraulic cooling system under various temperature conditions i ,

[0137] It should be added that the calculation formula for failure rate is: Failure rate = number of failures / (system operating time × number of systems). For example, at a temperature of 40°C, a failure occurred after the system had been running for 800 hours. Then the failure rate at 40°C = 1 / (800×1) = 0.00125 / hour.

[0138] Statistical reliability of hydraulic cooling system under various temperature conditions τ i ,

[0139] The ratio of the set time of the hydraulic cooling system under various temperature conditions to the number of failures is taken as the mean time between failures of the hydraulic cooling system under various temperature conditions, denoted as θ i .

[0140] Statistical reliability performance index of hydraulic cooling system θ′ and τ′ are the MTBF and reliability of the set reference respectively.

[0141] Step 5: Hydraulic cooling evaluation report: Generate a performance evaluation report of the hydraulic cooling system based on the performance analysis results.

[0142] The embodiment of the present invention evaluates and analyzes the hydraulic cooling system from three dimensions: cooling performance, stability performance and reliability performance of the hydraulic cooling system, thereby avoiding the current deficiency of not analyzing the stability performance and reliability performance of the hydraulic cooling system, ensuring the accuracy of the evaluation and analysis results of the hydraulic cooling system, thereby improving the accuracy of the failure risk assessment of the hydraulic cooling system, thereby ensuring the stability, reliability and safety of the operation of the hydraulic cooling system, and facilitating the subsequent maintenance and management of the hydraulic cooling system.

[0143] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent evaluation method for a hydraulic cooling system based on virtual simulation, characterized in that: The method includes: Step 1: Collect hydraulic cooling parameters: Collect detailed parameters of the hydraulic cooling system, including the allowable temperature of the hydraulic oil, the leakage coefficient of the seal, the length, diameter, roughness of the pipeline, and the specific heat capacity of the cooling medium and the hydraulic oil; Step 2: Hydraulic cooling scenario simulation: set the temperature simulation scenario of the hydraulic cooling system; Step 3: Hydraulic cooling simulation tracking: import the hydraulic cooling system into the temperature simulation scenario, perform simulation under the temperature simulation scenario, and record the simulation data of the hydraulic cooling system under each temperature simulation scenario; Step 4: Hydraulic cooling performance analysis: Based on the simulation data of the hydraulic cooling system under various temperature simulation scenarios, a performance analysis is performed to obtain a performance analysis result; S1. Perform cooling analysis on the hydraulic cooling system to obtain a cooling performance qualification index of the hydraulic cooling system; S2. Perform stability analysis on the hydraulic cooling system to obtain a stability performance qualified index of the hydraulic cooling system; S3, performing reliability analysis on the hydraulic cooling system to obtain a reliability performance qualified index of the hydraulic cooling system, and then taking a cooling performance qualified index, a stability performance qualified index and a reliability performance qualified index of the hydraulic cooling system as performance analysis results; Step 5: Hydraulic cooling evaluation report: Generate a performance evaluation report of the hydraulic cooling system based on the performance analysis results.

2. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 1, characterized in that: The cooling analysis of the hydraulic cooling system includes: A1. Extract the temperature of the hydraulic oil of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculate the control qualification index δ1 of the hydraulic cooling system; A2. According to the simulation data of the hydraulic cooling system under various temperature simulation scenarios, the heat dissipation efficiency qualification index δ2 of the hydraulic cooling system is calculated; A3. Statistical cooling performance qualification index of hydraulic cooling system r1 and r2 are the weights of the set control qualification index and heat dissipation efficiency qualification index respectively, r1+r2=1, r1<r2.

3. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 2 is characterized in that: The statistical control qualification index of the hydraulic cooling system includes: With the monitoring time point as the horizontal axis and the temperature as the vertical axis, the temperature change curve of the hydraulic cooling system under various temperature conditions is constructed; According to the permissible temperature of the hydraulic oil in the hydraulic cooling system, permissible temperature reference lines are respectively constructed in the temperature variation curve under various temperature conditions of the hydraulic cooling system; Extract the length of the curve segment below the allowable temperature reference line in the temperature change curve of the hydraulic cooling system under various temperature conditions and record it as L i , i is the temperature condition number, i=1,2,......,m; The length of the temperature change curve of the hydraulic cooling system under various temperature conditions is recorded as L i ′, and then L i With L i The ratio of ′ is used as the temperature control qualification index of the hydraulic cooling system under various temperature conditions; The temperature control qualified index of the hydraulic cooling system under various temperature conditions is averaged and the calculation result is used as the control qualified index of the hydraulic cooling system and recorded as δ1.

4. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 2 is characterized in that: The statistical heat dissipation efficiency qualified index of the hydraulic cooling system includes: Extract the temperature of the radiator inlet and outlet and the flow rate of the cooling medium at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculate the heat dissipation φ of the hydraulic cooling system; Extract the input power, output flow and output pressure of the hydraulic pump of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculate the heat generation Q′ of the hydraulic cooling system; The ratio of φ to Q′ is taken as the heat dissipation efficiency of the hydraulic cooling system, which can be expressed as Statistical analysis of the heat dissipation efficiency qualification index δ2 of the hydraulic cooling system, is the heat dissipation efficiency for setting the reference, and e is a natural constant.

5. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 4 is characterized in that: The statistical heat dissipation of the hydraulic cooling system includes: The temperature difference of the radiator inlet and outlet at each monitoring time point under each temperature condition of the hydraulic cooling system is obtained, which is recorded as λ ij , j is the monitoring point number, j = 1, 2, ..., n; The flow rate of cooling medium in the hydraulic cooling system at each monitoring time point under each temperature condition is recorded as ε ij ; The specific heat capacity of the cooling medium is denoted as α; Statistical heat dissipation φ of the hydraulic cooling system, n is the number of monitoring points, and m is the number of temperature conditions.

6. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 4 is characterized in that: The statistical heat generation of the hydraulic cooling system includes: The input power, output flow and output pressure of the hydraulic pump at a certain monitoring time under a certain temperature condition are recorded as P in , ε′ and β; Calculate the total efficiency η of the hydraulic pump at the monitoring time point under the temperature condition, Statistical calculation of the efficiency heat loss Q of the hydraulic pump at this monitoring time under this temperature condition loss , Q loss =P in *(1-η); According to the length, diameter and roughness of the hydraulic cooling system pipeline, the flow rate of the hydraulic oil at the monitoring time point under the temperature condition is extracted from the simulation data of the hydraulic cooling system under various temperature simulation scenarios, and then the pressure and heat loss of the pipeline of the hydraulic cooling system at the monitoring time point under the temperature condition is calculated by the fluid mechanics formula, which is recorded as Q1; Extract the inlet pressure, outlet pressure and flow rate of the threshold at the monitoring time point under the temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculate the throttling heat loss of the threshold through the thermodynamic formula, which is recorded as Q2; According to the leakage coefficient of the hydraulic cooling system seal and the specific heat capacity of the hydraulic oil, the pressure of the leakage point at the monitoring time point under the temperature condition is extracted from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then the leakage heat loss is statistically obtained, which is recorded as Q3; Q loss , Q1, Q2 and Q3 are summed to obtain the calorific value at the monitoring time point under the temperature condition, and then the calorific value of the hydraulic cooling system at each monitoring time point under each temperature condition is statistically obtained, and the average is calculated, and the calculation result is used as the calorific value of the hydraulic cooling system, recorded as Q′.

7. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 2 is characterized in that: The stability analysis of the hydraulic cooling system includes: Extract the pressure and flow rate of the hydraulic oil of the hydraulic cooling system at each monitoring time point under each temperature condition from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then calculate the stability qualification index of the hydraulic cooling system under each temperature condition; According to the temperature condition of the hydraulic cooling system, the temperature condition of the hydraulic cooling system is divided into temperature conditions of each temperature interval according to the pre-set temperature interval, and the temperature interval conditions include a low temperature interval, a normal temperature interval and a high temperature interval; The stability qualified index under each temperature condition in each temperature interval is averaged and the calculation result is used as the stability qualified index of each temperature interval, thereby obtaining the stability qualified index of the low temperature interval, the normal temperature interval and the high temperature interval, and recorded as ξ1, ξ2 and ξ3 respectively; Statistics on the stability performance qualified index of hydraulic cooling system w1, w2 and w3 are the weights of the set low temperature range stability qualified index, normal temperature range stability qualified index and high temperature range stability qualified index respectively, w1+w2+w3=1, w2>w3>w1.

8. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 7 is characterized in that: The statistical stability qualification index of the hydraulic cooling system under various temperature conditions includes: Combine each monitoring time point under a certain temperature condition in pairs to obtain each monitoring time group; The temperature, pressure and flow rate in each monitoring time group are respectively subtracted to obtain the temperature difference, pressure difference and flow rate difference of each monitoring time group; The temperature difference, pressure difference and flow difference of each monitoring time group are respectively compared with the set reference temperature difference, pressure difference and flow difference. If the temperature difference, pressure difference and flow difference of a monitoring time group are all smaller than the set reference temperature difference, pressure difference and flow difference, then the monitoring time group is recorded as a stable time group, and then the number of stable time groups under the temperature condition is counted; The number of time groups under the temperature condition is counted, and the ratio of the number of stable time groups to the number of time groups is used as the stability qualification index under the temperature condition, thereby obtaining the stability qualification index of the hydraulic cooling system under each temperature condition.

9. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 1, characterized in that: The reliable analysis of the hydraulic cooling system includes: The number of failures of the hydraulic cooling system within a set time under each temperature condition is extracted from the simulation data of the hydraulic cooling system under each temperature simulation scenario, and then the reliability τ of the hydraulic cooling system under each temperature condition is calculated. i ; The ratio of the set time of the hydraulic cooling system under various temperature conditions to the number of failures is taken as the mean time between failures of the hydraulic cooling system under various temperature conditions, denoted as θ i ; Statistical reliability performance index of hydraulic cooling system θ′ and τ′ are the MTBF and reliability of the set reference respectively.

10. The method for intelligent evaluation of a hydraulic cooling system based on virtual simulation according to claim 1, characterized in that: The reliability of the statistical hydraulic cooling system under various temperature conditions includes: The setting time and the number of failures of the hydraulic cooling system under each temperature condition are respectively denoted as ψ i and D i ; Statistics on the failure rate of hydraulic cooling system under various temperature conditions i , Statistical reliability of hydraulic cooling system under various temperature conditions τ i ,

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