Self-checking method for a scroll water source heat pump unit

Abstract

The present application belongs to the technical field of water source heat pump unit, especially to a self-checking method of scroll type water source heat pump unit, comprising the following steps: step one: through the controller in the detection component on the water source heat pump unit, the bypass valve is opened and the sampling pump is driven according to the set period, the water source sample is introduced from the main pipeline into the sampling tank in the detection component, and the controller and the control module built-in in the detection component are electrically connected through the RS485 bus to transmit instructions. The self-checking method of scroll type water source heat pump unit can automatically and regularly check the water quality of water source heat pump unit, the pH sensor, turbidimeter, conductivity meter and metal ion detector detect the water quality, the weight is dynamically adjusted according to the water source, and the segmented normalization algorithm is adopted to avoid the misjudgment problem of fixed standard adaptation to all water sources.

Description

Technical Field

[0001] This invention relates to the field of water source heat pump units, and in particular to a self-testing method for a vortex-type water source heat pump unit. Background Technology

[0002] A water source heat pump unit is a device that uses water as a medium and consumes a small amount of electricity to drive a compressor to convert low-grade heat energy such as solar or geothermal energy stored in the water into high-grade heat energy. It uses water as a heat source when heating and water as a heat exhaust source when cooling, and belongs to renewable energy utilization technology.

[0003] However, existing water source heat pump units do not test the quality of the water source they supply. The risk of water deterioration will exist in the long run. The water source may corrode and scale due to the growth of microorganisms, chemical precipitation or accumulation of impurities, which will affect the heat exchange efficiency. The lack of monitoring will lead to the traditional system relying on manual inspection, which cannot provide real-time warning of water quality abnormalities. The sensitivity of scroll compressors means that scroll compressors have high requirements for water purity. Impurities or corrosive substances can easily cause blade wear. Summary of the Invention

[0004] Given that existing water source heat pump units cannot test water quality, the lack of monitoring leads to traditional systems relying on manual inspections and failing to provide real-time warnings of water quality anomalies. Furthermore, the sensitivity of scroll compressors means they require high water purity, and impurities or corrosive substances can easily cause blade wear. Therefore, this invention proposes a self-inspection method for scroll water source heat pump units.

[0005] The present invention proposes a self-testing method for a vortex-type water source heat pump unit, including step one: the controller in the detection component on the water source heat pump unit controls the bypass valve to open and drives the sampling pump according to a set cycle, so as to introduce the water source sample from the main pipeline into the sampling tank in the detection component. The controller and the control module built into the detection component are electrically connected through RS485 bus to transmit instructions.

[0006] Step 2: Using the sensor array inside the sampling tank, which includes a pH sensor, turbidimeter, conductivity meter and metal ion detector, data is collected three times consecutively from the water source sample (with a 2-second interval), and the average value is taken to obtain the measured values ​​of the four water quality parameters.

[0007] Step 3: The controller converts the four water quality parameters into corresponding secondary indices according to the preset secondary index calculation rules. Among them, the calculation rules for pH index, turbidity index, conductivity index and iron ion index are all normalized functions in the range [0,1].

[0008] Step 4: Based on preset weighting coefficients, for river water: pH index accounts for 30%, turbidity index accounts for 30%, conductivity index accounts for 20%, and iron ion index accounts for 20%; for groundwater: pH index accounts for 30%, turbidity index accounts for 20%, iron ion index accounts for 30%, and conductivity index accounts for 20%. Calculate the comprehensive water quality index by weighting and summing the secondary indices.

[0009] Step 5: Based on the rate of change of the comprehensive water quality index, abnormal fluctuations in water source temperature, hydraulic stagnation risk coefficient, and system pressure risk coefficient, input the preset multivariate regression model to calculate the comprehensive degradation risk value;

[0010] Step Six: Based on the calculated comprehensive water quality index and comprehensive risk value of water quality degradation, trigger the corresponding system response, including triggering alarms, prompting maintenance, and forcibly executing shutdown protection.

[0011] Preferably, in step three, the detection result is converted into a secondary exponent using a piecewise normalization algorithm:

[0012] pH sensor measures pH index When pH ≤ 6.5 or pH ≥ 8.5, =0;

[0013] When 6.5 < pH < 8.5, ,in, The normalization index represents the pH value, ranging from [0,1]. The closer the value is to 1, the more ideal the pH value. The measured pH value is dimensionless and represents the acidity or alkalinity of the water source sample. The normal range is usually 6.5-8.5. If it exceeds this range, the index is 0. 7.5 is the optimal pH value for the water source heat pump unit, and 1.5 is the half-width of the allowable fluctuation range corresponding to the optimal pH value.

[0014] Turbidity meter measures turbidity index When turbidity 实测 When ≤6.5 NTU, =1;

[0015] When 6.5 < turbidity 实测 When <100 NTU, ;

[0016] When turbidity 实测 ≥100, =0;

[0017] in, Turbidity index is the normalized index of turbidity, ranging from [0,1]. A value closer to 1 indicates lower turbidity. 实测The value of the water sample detected by the sensor is 6.5 NTU, which is the minimum allowable turbidity threshold for the water source heat pump unit, and 100 NTU is the turbidity threshold for the shutdown protection of the water source heat pump unit.

[0018] Conductivity meter measures conductivity index When the measured conductivity is ≤500μS / cm, =1;

[0019] When 500 < conductivity 实测 <1500μS / cm, ;

[0020] When conductivity 实测 ≥1500μS / cm, =0;

[0021] in, The conductivity index represents the normalized exponent of conductivity, ranging from [0,1]. A value closer to 1 indicates more ideal conductivity. 实测 The conductivity value of the water sample detected by the sensor is 500 μS / cm, which is the baseline value for the conductivity of clean water sources, and 1500 μS / cm is the high salinity risk threshold.

[0022] Metal ion detector measures iron ion index When the measured iron ion concentration is ≤0.1 mg / L, =1;

[0023] When 0.1 < iron ions 实测 <0.5mg / L, ;

[0024] When iron ions 实测 >0.5mg / L, =0;

[0025] Among them, iron ions 实测 The concentration of iron ions in the water sample detected by the sensor is 0.1 mg / L, which is the permissible safe concentration of iron ions for the water source heat pump unit, and 0.5 mg / L is the concentration at risk of pipeline corrosion.

[0026] Preferably, the comprehensive water quality index in step four... : ,in, This is a comprehensive water quality index, representing the overall quality of the water source sample, ranging from [0,1]. A value closer to 1 indicates better water quality. The weighting coefficients can be fine-tuned according to the water source type: for river water sources, the turbidity index weight is increased to 35%, and the conductivity index weight is decreased to 15%; for tap water sources, the iron ion index weight is increased to 25%, and the pH index weight is decreased to 25%; for reclaimed water sources, based on the river water weight, the conductivity weight is increased by 5%, and the turbidity weight is decreased by 5%; for seawater sources, based on the groundwater weight, the pH weight is decreased by 5%, and the conductivity weight is increased by 5%. After fine-tuning, the sum of the weights of each parameter remains 100%, and the single fine-tuning amplitude does not exceed 5%. When calculating, the secondary index values ​​are retained to three decimal places. The final result is rounded to two decimal places.

[0027] Preferably, the comprehensive deterioration risk value in step five... : ,in, for The weighting coefficient reflects the contribution of water quality abnormalities to the failure of the water source heat pump unit, and is fixed at 0.4. Hydraulic stagnation risk coefficient The weighting coefficient, reflecting the contribution of hydraulic stagnation to unit failure, is fixed at 0.2. The hydraulic stagnation risk coefficient is calculated using the following formula: , Real-time flow rate of the water supply pipeline. Design rated flow rate for heat pump units, This represents the actual pressure loss in the water supply pipeline. The maximum allowable pressure loss is designed for the water supply pipeline;

[0028] for The weighting coefficient is fixed at 0.2;

[0029] The system pressure risk coefficient is used to evaluate the safety of the core system pressure of the water source heat pump unit. ≥0.8× and ≤1.2× hour:

[0030] The calculation formula is ;

[0031] when <0.8× hour, =0.5;

[0032] when >1.2× hour, =0;

[0033] 0≤ ≤1, The closer the value is to 1, the safer the pressure condition. The closer the pressure is to 0, the higher the risk of abnormal stress. A medium-risk response is triggered when the value is less than 0.5. When the value is 0, the machine will stop immediately and issue a high-voltage alarm.

[0034] The real-time pressure of the core system of the water source heat pump unit is collected by a pressure sensor installed at the condenser outlet, at a distance of twice the pipe diameter from the water source heat pump unit interface and avoiding the valve throttling area. The rated operating pressure for the water source heat pump unit is directly referenced from the product nameplate value.

[0035] for The weighting coefficient, reflecting the contribution of the water quality deterioration rate to the failure, is fixed at 0.1. The water quality composite index represents the rate of change over time, reflecting the speed at which water quality deteriorates or improves. The calculation formula is as follows: , For this test value, The WOI value from the previous test. The sampling period set for step one is 2h=120min for river water and 4h=240min for tap water;

[0036] for The weighting coefficient reflects the contribution of temperature deviation to the fault, and its value varies depending on the scenario: when ≤5℃, The value is 0.02, when >5℃, The value is 0.03;

[0037] The temperature deviation is calculated using the following formula: , This refers to the actual operating temperature. This is the median value within the normal temperature range.

[0038] Preferably, in step six, according to and Value-based trigger response:

[0039] <0.6 or If the value is greater than 0.7, an audible and visual alarm will be triggered, the bypass valve will be closed, and the water source will be isolated.

[0040] 0.6≤ <0.8 and 0.4≤ ≤0.7, maintenance is required; start the backwashing procedure.

[0041] ≥0.8 and <0.4, normal operation, data recording.

[0042] Preferably, the detection component is located on one side of the main inlet pipe of the water source heat pump unit, one end of the bypass valve is fixedly connected to one end of the main inlet pipe of the water source heat pump unit, one end of the bypass valve is fixedly connected to one end of the inlet of the sampling pump, and one end of the outlet of the sampling pump is fixedly connected to the outer surface of the sampling tank.

[0043] Preferably, a movable frame is slidably inserted into the inner wall of the sampling container, and a push rod with a rack is slidably inserted into the inner wall of the sampling container. One end of the push rod extends into the inner wall of the sampling container and is fixedly installed with a connecting frame. The pH sensor, the turbidimeter, the conductivity meter, and the metal ion detector are all fixedly installed on the outer surface of the connecting frame. A connecting spring is fixedly installed on the lower surface of the connecting frame, and one end of the connecting spring is fixedly installed with the inner wall of the movable frame.

[0044] Preferably, a drive motor with gears is fixedly installed on the upper surface of the sampling container, and the output shaft gear of the drive motor meshes with the rack of the push rod.

[0045] Preferably, the inner wall of the sampling container is rotatably connected to a stirring paddle, the outer surface of the stirring paddle is provided with a spiral groove, the inner wall of the push rod is slidably inserted into the groove of the spiral groove through a column, and the inner wall of the push rod is slidably sleeved with the outer surface of the stirring paddle.

[0046] Preferably, a cleaning pipe is fixedly installed on the inner wall of the mobile frame, and a conveying pipe is fixedly connected to the outer surface of the sampling tank. One end of the conveying pipe is fixedly connected to the outer surface of the cleaning pipe through a flexible hose.

[0047] The beneficial effects of this invention are as follows:

[0048] 1. By setting a self-testing method for the vortex-type water source heat pump unit, it can automatically and periodically perform water quality self-tests. A pH sensor, turbidity meter, conductivity meter, and metal ion detector are used to detect water quality. Weights are dynamically adjusted based on the water source, and a segmented normalization algorithm is employed to avoid misjudgments caused by applying a fixed standard to all water sources, thus improving the overall water quality index. It can focus on the core risks of different water sources (such as river water turbidity and groundwater iron ions), accurately quantify water quality, provide a reliable basis for subsequent response, thus making water quality assessment more accurate, adapting to the characteristics of multiple water sources, and calculating secondary indices in real time. and comprehensive risk value of deterioration ( ), and implements tiered automatic responses, replacing manual inspections, reducing anomaly handling time from "hours" to "seconds / minutes," preventing small anomalies from escalating into major failures, thereby achieving full automation of operation, more timely anomaly response, and reducing the overall risk of deterioration ( The system simultaneously incorporates four types of risks: water quality deterioration rate, water source temperature fluctuation, hydraulic stagnation, and abnormal system pressure. Through scientific weight allocation, it covers the hidden risks of "water quality meeting standards but abnormal temperature / pressure" (such as triggering an early warning when pressure > 1.2 times the rated value), avoiding missed detections due to single parameter detection, ensuring the overall operational safety of the water source heat pump unit. This results in a more comprehensive risk assessment with no hidden risks missed. It solves the technical problems of existing water source heat pump units being unable to detect water quality, the lack of monitoring leading to reliance on manual inspections in traditional systems, the inability to provide real-time early warnings of water quality anomalies, and the sensitivity of scroll compressors requiring high water purity, as impurities or corrosive substances can easily cause blade wear.

[0049] 2. By setting up detection components, the water source entering the water source heat pump unit can be automatically detected. By lowering the push rod, the stirring paddle can be rotated, thereby stirring the sampled water source, keeping the sampled water source uniform, and improving the accuracy of detection. By lowering the moving frame, the cleaning pipe can be lowered to clean the sampling tank and the probe of the sensor array, ensuring the accuracy of the next detection. Attached Figure Description

[0050] Figure 1 This is a schematic diagram of a self-testing method for a vortex-type water source heat pump unit proposed in this invention;

[0051] Figure 2 This is a perspective view of the structure of a water source heat pump unit, which is a self-testing method for a vortex-type water source heat pump unit proposed in this invention.

[0052] Figure 3 This is a perspective view of the sampling tank structure of a self-inspection method for a vortex-type water source heat pump unit proposed in this invention.

[0053] Figure 4 This is a perspective view of the sampling pump structure of a self-testing method for a vortex-type water source heat pump unit proposed in this invention.

[0054] Figure 5 This is a perspective view of the movable frame structure of a self-testing method for a vortex-type water source heat pump unit proposed in this invention.

[0055] Figure 6 This is a perspective view of the stirring paddle structure of a self-testing method for a vortex-type water source heat pump unit proposed in this invention.

[0056] Figure 7 This is a perspective view of the connecting spring structure of a self-testing method for a vortex-type water source heat pump unit proposed in this invention.

[0057] Figure 8 This is a perspective view of the spiral groove structure of a self-inspection method for a vortex-type water source heat pump unit proposed in this invention.

[0058] In the diagram: 1. Water source heat pump unit; 11. Bypass valve; 12. Sampling pump; 2. Sampling tank; 21. Moving frame; 22. Push rod; 23. Connecting frame; 24. pH sensor; 25. Turbidity meter; 26. Conductivity meter; 27. Metal ion detector; 28. Connecting spring; 3. Drive motor; 4. Agitator; 41. Spiral groove; 5. Cleaning pipe; 51. Delivery pipe. Detailed Implementation

[0059] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Example

[0060] Reference Figure 1 A self-testing method for a vortex-type water source heat pump unit is provided. The controller in the detection component of the water source heat pump unit 1 controls the bypass valve 11 to open and drive the sampling pump 12 according to a set cycle, so as to introduce the water source sample from the main pipeline into the sampling tank 2 in the detection component. The controller and the control module built into the detection component are electrically connected via RS485 bus to transmit instructions.

[0061] The sampling period is not a fixed value and needs to be dynamically adjusted according to the type of water source: for river water (containing a lot of silt and with large fluctuations in water quality), it is set to 2h / time (120min); for tap water (with stable water quality after treatment), it is set to 4h / time (240min); for groundwater (with small fluctuations in water quality but easy accumulation of iron ions), it is set to 3h / time (180min); for reclaimed water (with high dissolved salt content), it is set to 1.5h / time (90min); and for seawater (with stable salinity but large influence from pressure), it is set to 2.5h / time (150min).

[0062] After the bypass valve 11 (electric ball valve, response time ≤1s, sealing rating IP68) is opened, the sampling pump 12 (miniature centrifugal pump, flow rate 5-8L / min, head 8-12m) introduces the main pipeline water source into the sampling tank 2 (volume 2L, anti-corrosion treatment of the inner wall) at a stable flow rate, and the extraction volume is 1.5L (ensuring that the sensor array is completely submerged and reserving space for stirring).

[0063] The RS485 bus of the controller and detection component control module uses shielded twisted pair cable (transmission distance ≤100m, anti-electromagnetic interference, adaptable to the complex electromagnetic environment of the unit's computer room), with a command transmission rate of 9600bps, ensuring no delay or packet loss in commands.

[0064] Step 2: Using the sensor array inside sampling tank 2, which includes a pH sensor 24, a turbidity meter 25, a conductivity meter 26, and a metal ion detector 27, data from the water source sample is collected three times consecutively (with a 2-second interval), and the average value is taken to obtain the measured values ​​of the four water quality parameters.

[0065] pH sensor 24: Glass electrode type, measurement range 0-14pH, accuracy ±0.01pH, response time ≤3s;

[0066] Turbidity meter 25: 90° scattered light principle, measuring range 0-1000 NTU, resolution 0.1 NTU, built-in bubble filtration algorithm;

[0067] Conductivity meter 26: Four-electrode type, measuring range 0-5000μS / cm, accuracy ±1%FS, temperature compensation range 0-60℃;

[0068] Metal ion detector 27 (for iron ions): spectrophotometry, range 0-1 mg / L, resolution 0.01 mg / L, detection limit 0.005 mg / L.

[0069] Data acquisition rules: Each sensor acquires data 3 times consecutively, with a 2-second interval (to avoid instantaneous fluctuations). After acquisition, the maximum and minimum values ​​are removed, and the average of the remaining data is taken as the measured value. If a single acquisition exceeds the sensor's range (e.g., pH < 0 or > 14), the data is reacquired. Three consecutive over-range acquisitions are considered "sensor failure".

[0070] Data calibration: Before the first sampling each day, the sensor is calibrated using standard solutions (pH using 6.86 / 9.18 standard solution, turbidity using 50 NTU standard solution, conductivity using 1000 μS / cm standard solution, and iron ion using 0.2 mg / L standard solution). If the calibration deviation is >2%, the sensor needs to be replaced. The standard solution can be stored in a standard tank with a delivery pump that is fixedly connected to the outer surface of sampling tank 2.

[0071] Step 3: The controller converts the four water quality parameters into corresponding secondary indices according to the preset secondary index calculation rules. The calculation rules for pH index, turbidity index, conductivity index and iron ion index are all normalized functions in the range [0,1].

[0072] The core purpose of normalization is that pH, turbidity, conductivity, and iron ions have different dimensions and cannot be directly compared. By converting them into secondary exponents in the [0,1] interval, we can achieve homogeneous comparison of different parameters and lay the foundation for subsequent weighted summation.

[0073] The common logic of normalization functions: all indices follow the principle of "the closer to the ideal value, the closer the index is to 1; if it exceeds the safe range, the index is 0", to avoid the interference of extreme values ​​on subsequent comprehensive evaluation. For example, if pH=6.0 (exceeding the lower limit of 6.5), the index is directly set to 0, which does not require calculation and simplifies risk assessment.

[0074] In step three, the detection results are converted into secondary exponents using a piecewise normalization algorithm:

[0075] pH sensor 24 measures pH index When pH ≤ 6.5 or pH ≥ 8.5, =0, acidic water accelerates metal corrosion, alkaline water causes scaling, neither is compatible.

[0076] pH ≤ 6.5 or ≥ 8.5 is set to 0. Acidic water with pH < 6.5 will accelerate the electrochemical corrosion of metal parts (such as compressor housing and heat exchanger copper tubes) of water source heat pump unit 1, and the corrosion rate is 3-5 times that at pH 7.5. Alkaline water with pH > 8.5 will cause calcium carbonate and magnesium hydroxide to precipitate and adhere to the surface of the heat exchanger, reducing the heat transfer coefficient by 15%-20%. Therefore, water exceeding this range is directly judged as "no compatibility" and the index is 0.

[0077] When 6.5 < pH < 8.5, ,in, The normalization index represents the pH value, ranging from [0,1]. The closer the value is to 1, the more ideal the pH value. The measured pH value is dimensionless and represents the acidity or alkalinity of the water source sample. The normal range is usually 6.5-8.5. If it exceeds this range, the index is 0. 7.5 is the optimal pH value for water source heat pump unit 1. 1.5 is the half-width of the allowable fluctuation range corresponding to the optimal pH value, referencing ISO water quality standards or unit test data.

[0078] Turbidimeter 25 measures turbidity index When turbidity 实测 When ≤6.5 NTU, =1, no risk of scaling, heat exchange efficiency ≥95%.

[0079] Turbidity ≤ 6.5 NTU is set to 1: 6.5 NTU is the critical value with no risk of scaling. When the turbidity is ≤ 6.5 NTU, suspended particles in the water (such as silt and microorganisms) cannot adhere to the surface of the heat exchanger, and the heat exchange efficiency is maintained at more than 95% of the design value. Therefore, it is judged as ideal turbidity, and the index is 1.

[0080] When 6.5 < turbidity 实测 When <100 NTU, .

[0081] When turbidity 实测 ≥100, =0, the flow channel will be blocked within 1-2 days, triggering a shutdown.

[0082] in, Turbidity index is the normalized index of turbidity, ranging from [0,1]. A value closer to 1 indicates lower turbidity. 实测 The turbidity value of the water sample detected by the sensor is 6.5 NTU, which is the minimum allowable turbidity threshold for water source heat pump unit 1, and 100 NTU is the turbidity threshold for shutdown protection of water source heat pump unit 1.

[0083] When the turbidity is ≥100 NTU and set to 0:100 NTU, suspended particles in the water will clog the heat exchanger flow channel within 1-2 days, resulting in a decrease in heat exchange efficiency of more than 30%, and even causing compressor overload. Therefore, it is directly judged as high risk and triggers shutdown protection.

[0084] Conductivity meter 26 measures conductivity index When the measured conductivity is ≤500μS / cm, =1, clean water source, no salinity risk.

[0085] When 500 < conductivity 实测 <1500μS / cm, .

[0086] When conductivity 实测 ≥1500μS / cm, =0, high salinity causes pipeline corrosion, triggering a shutdown.

[0087] in, The conductivity index represents the normalized exponent of conductivity, ranging from [0,1]. A value closer to 1 indicates more ideal conductivity. 实测 The value represents the conductivity of the water sample detected by the sensor. 500 μS / cm is the baseline conductivity value for clean water sources, and 1500 μS / cm is the high salinity risk threshold.

[0088] Metal ion detector 27 measures the iron ion index When the measured iron ion concentration is ≤0.1 mg / L, =1, safe concentration, no pipeline corrosion.

[0089] When 0.1 < iron ions 实测 <0.5mg / L, .

[0090] When iron ions 实测 >0.5mg / L, =0, corrosion risk concentration, triggering maintenance.

[0091] Among them, iron ions 实测 The concentration of iron ions in the water sample detected by the sensor is 0.1 mg / L, which is the permissible safe concentration of iron ions for water source heat pump unit 1, and 0.5 mg / L is the concentration at risk of pipeline corrosion.

[0092] Step 4: Based on the preset weighting coefficients, for river water: pH index accounts for 30%, turbidity index accounts for 30%, conductivity index accounts for 20%, and iron ion index accounts for 20%; for groundwater: pH index accounts for 30%, turbidity index accounts for 20%, iron ion index accounts for 30%, and conductivity index accounts for 20%. Calculate the comprehensive water quality index by weighting and summing the secondary indices.

[0093] Step 4 Water Quality Comprehensive Index : ,in, The water quality index represents the overall quality of a water source sample, ranging from [0,1]. A value closer to 1 indicates better water quality. A concentration of ≥0.8 indicates excellent water quality, while 0.6≤ A concentration of <0.8 indicates acceptable water quality. A value less than 0.6 indicates poor water quality.

[0094] The weighting coefficients can be fine-tuned according to the type of water source: When the source is river water, the weight of turbidity index is increased to 35% and the weight of conductivity index is reduced to 15%. River water is greatly affected by the season (there is more sediment and turbidity during the rainy season), while conductivity is relatively stable due to the large flow of river water (such as the conductivity of river water in the middle and lower reaches of the Yangtze River, which is usually 200-400 μS / cm). Therefore, turbidity is given priority.

[0095] When using tap water as a source, the weight of the iron ion index is increased to 25%, while the weight of the pH index is reduced to 25%. After the tap water is treated by the water plant, the turbidity is ≤1 NTU and the conductivity is ≤600 μS / cm. The risk lies in the corrosion of the pipe network (especially the cast iron pipes in old residential areas), where iron ions are prone to exceed the standard. The pH is relatively stable (7.0-7.8) after chlorination disinfection, so the pH weight is reduced.

[0096] When using reclaimed water as a source, the conductivity weight is increased by 5% and the turbidity weight is decreased by 5% on the basis of the river water weight. Reclaimed water (such as sewage treatment plant effluent) has a turbidity of ≤5 NTU after treatment, but contains a lot of dissolved salts (such as NaCl, CaCl2), and the conductivity is usually 800-1200 μS / cm, so the conductivity weight is increased; the turbidity risk is reduced, so the weight is decreased.

[0097] When using seawater as the source, the pH weight is reduced by 5% and the conductivity weight is increased by 5% on top of the groundwater weight. Seawater has a stable pH (8.0-8.2) and does not require high weighting. However, seawater has high salinity (conductivity 30,000-50,000 μS / cm) and needs to be adapted through anti-corrosion treatment (such as titanium tube heat exchangers). Therefore, the conductivity weight is increased (to reflect salinity risk).

[0098] The water source type is automatically identified through user input or sensors. After fine-tuning, the sum of the weights of each parameter remains 100%, and the single fine-tuning increment does not exceed 5%. When calculating, the secondary index value is retained to 3 decimal places. The final result is rounded to two decimal places.

[0099] Step 5: Based on the rate of change of the comprehensive water quality index, abnormal fluctuations in water source temperature, hydraulic stagnation risk coefficient, and system pressure risk coefficient, input the preset multivariate regression model to calculate the comprehensive deterioration risk value.

[0100] Construction of the multivariate regression model: The model is based on historical operating data of 1000+ water source heat pump units (covering different water sources, seasons, and operating conditions), and is trained using a linear regression algorithm to determine the weights of each variable. Water quality anomalies are the core risk. =0.4), hydraulic stagnation ( =0.2) and system pressure ( =0.2) is a critical operating condition risk, temperature fluctuation ( =0.2) is an auxiliary risk, with a weighted sum of 1, to ensure the rationality of the risk value calculation.

[0101] The comprehensive risk value of deterioration in step five : ,in, for The weighting coefficient reflects the contribution of water quality abnormalities to the failure of water source heat pump unit 1, and is fixed at 0.4. Hydraulic stagnation risk coefficient The weighting coefficient reflects the contribution of hydraulic stagnation to the failure of water source heat pump unit 1. It is fixed at 0.2 and has no range adjustment.

[0102] The hydraulic stagnation risk coefficient is calculated using the following formula: , Real-time flow rate of the water supply pipeline. The rated flow rate is designed for water source heat pump unit 1, and is marked on the nameplate of water source heat pump unit 1;

[0103] Constraints: The value range is 0-1. If S>1, the value is 1; if S<0, the value is 0.

[0104] This represents the actual pressure loss in the water supply pipeline. The maximum allowable pressure loss is designed for water source pipelines.

[0105] for The weighting coefficient is fixed at 0.2.

[0106] The system pressure risk coefficient is used to evaluate the safety of the core system pressure of the water source heat pump unit 1. ≥0.8× and ≤1.2× hour:

[0107] The calculation formula is ;

[0108] when <0.8× hour, =0.5;

[0109] when >1.2× hour, =0;

[0110] 0≤ ≤1, The closer the value is to 1, the safer the pressure condition. The closer the pressure is to 0, the higher the risk of abnormal stress. A medium-risk response is triggered when the value is less than 0.5. When the value is 0, the machine will stop immediately and issue a high-voltage alarm.

[0111] The real-time pressure of the core system of the water source heat pump unit 1 is collected by a pressure sensor installed at the condenser outlet, at a distance of twice the pipe diameter from the interface of the water source heat pump unit 1, and avoiding the valve throttling area. The rated operating pressure for water source heat pump unit 1 is directly referenced from the product nameplate of water source heat pump unit 1.

[0112] for The weighting coefficient, reflecting the contribution of the water quality deterioration rate to the failure, is fixed at 0.1. The water quality composite index represents the rate of change over time, reflecting the speed at which water quality deteriorates or improves. The calculation formula is as follows: , For this test value, The WOI value from the previous test. The sampling period set for step one is 2h = 120min for river water and 4h = 240min for tap water.

[0113] for The weighting coefficient reflects the contribution of temperature deviation to the fault, and its value varies depending on the scenario: when ≤5℃, The value is 0.02, when >5℃, The value is 0.03;

[0114] The temperature deviation is calculated using the following formula: , This refers to the actual operating temperature. This is the median of the normal temperature range;

[0115] Temperature acquisition: The outer wall temperature of the evaporator / condenser heat exchange tubes is acquired using a platinum resistance temperature sensor (accuracy ±0.5℃) at the point where the temperature is measured at the inlet 1 / 3 tube length + outlet 1 / 3 tube length, and the average value is taken. );

[0116] median of normal temperature range ( Chiller unit (for cooling) =15℃ (normal range 7-23℃), hot water unit (heating) =45℃ (normal range 35-55℃).

[0117] Step Six: Based on the calculated comprehensive water quality index and comprehensive risk value of water quality degradation, trigger the corresponding system response, including triggering alarms, prompting maintenance, and forcibly executing shutdown protection.

[0118] Preferably, in step six, according to and Value-based trigger response:

[0119] <0.6 or If the value is greater than 0.7, an audible and visual alarm will be triggered, the bypass valve will be closed, and the water source will be isolated.

[0120] 0.6≤ <0.8 and 0.4≤ ≤0.7, maintenance is required; start the backwashing procedure.

[0121] ≥0.8 and <0.4, normal operation, data recording. Example

[0122] Reference Figures 2-8 As shown, the detection component is set on one side of the main water inlet pipeline of the water source heat pump unit 1. One end of the bypass valve 11 is fixedly connected to one end of the main water inlet pipeline of the water source heat pump unit 1. One end of the bypass valve 11 is fixedly connected to one end of the water inlet of the sampling pump 12. One end of the water outlet of the sampling pump 12 is fixedly connected to the outer surface of the sampling tank 2. A drain pipe with a control valve is fixedly connected to the lower surface of the sampling tank 2.

[0123] A movable frame 21 is slidably inserted into the inner wall of the sampling container 2. A push rod 22 with a rack is slidably inserted into the inner wall of the sampling container 2. One end of the push rod 22 extends into the inner wall of the sampling container 2 and is fixedly installed with a connecting frame 23. A pH sensor 24, a turbidity meter 25, a conductivity meter 26, and a metal ion detector 27 are all fixedly installed on the outer surface of the connecting frame 23. A connecting spring 28 is fixedly installed on the lower surface of the connecting frame 23. One end of the connecting spring 28 is fixedly installed with the inner wall of the movable frame 21. The descent of the connecting frame 23 can push the movable frame 21 to descend.

[0124] A drive motor 3 with gears is fixedly installed on the upper surface of the sampling container 2. The output shaft gear of the drive motor 3 meshes with the rack of the push rod 22, and the drive motor 3 can drive the push rod 22 to move up and down.

[0125] The inner wall of the sampling tank 2 is rotatably connected to a stirring paddle 4. The outer surface of the stirring paddle 4 is provided with a spiral groove 41. The inner wall of the push rod 22 is slidably inserted into the groove of the spiral groove 41 through a column. The inner wall of the push rod 22 is slidably sleeved with the outer surface of the stirring paddle 4. The stirring blade of the stirring paddle 4 contacts the inner bottom wall of the sampling tank 2 to prevent impurities from settling to the bottom.

[0126] A cleaning pipe 5 is fixedly installed on the inner wall of the mobile frame 21, and a conveying pipe 51 is fixedly connected to the outer surface of the sampling tank 2. One end of the conveying pipe 51 is fixedly connected to the outer surface of the cleaning pipe 5 through a hose, and the conveying pipe 51 can be fixedly connected to the water pump of the cleaning tank.

[0127] Working principle: When sampling is required, the sampling pump 12 and the bypass valve 11 are opened. The sampling pump 12 draws water from the inlet pipe of the water source heat pump unit 1 into the sampling tank 2. After reaching the set water volume, the sampling pump 12 and the bypass valve 11 are closed. After the drive motor 3 is started, the push rod 22 is driven to descend through the transmission of gears. The descent of the push rod 22 drives the stirring paddle 4, which is slidably sleeved with it, to rotate, thus stirring the sampled water source. At the same time, the push rod 22 pushes the connecting frame 23 to descend, so that the connecting frame 23 pushes the moving frame 21 to descend to the set position through the connecting spring 28. After the moving frame 21 can no longer move, the descent of the connecting frame 23 compresses the connecting spring 28. The pH sensor 24, turbidity meter 25, conductivity meter 26 and metal ion detector 27 probes on the connecting frame 23 move out of the moving frame 21 and come into contact with the sampled water source below to complete the detection.

[0128] The water source for sampling is discharged through the drainage pipe of sampling tank 2, while cleaning fluid is transported into cleaning pipe 5 through delivery pipe 51. The inside of sampling tank 2 is cleaned through the nozzle of delivery pipe 51, and at the same time, connecting frame 23 rises, and cleaning pipe 5 rinses the probe of sensor array.

[0129] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A self-testing method for a vortex-type water source heat pump unit, characterized in that: Step 1: The controller in the detection component of the water source heat pump unit (1) controls the bypass valve (11) to open and drive the sampling pump (12) according to the set cycle, so as to introduce the water source sample from the main pipeline into the sampling tank (2) in the detection component. The controller and the built-in control module of the detection component are electrically connected through RS485 bus to transmit instructions. Step 2: Using the sensor array in the sampling tank (2), which includes a pH sensor (24), a turbidity meter (25), a conductivity meter (26), and a metal ion detector (27), the water source sample is continuously collected 3 times and the average value is taken to obtain the measured values ​​of the four water quality parameters. Step 3: The controller converts the four water quality parameters into corresponding secondary indices according to the preset secondary index calculation rules. Among them, the calculation rules for pH index, turbidity index, conductivity index and iron ion index are all normalized functions in the range [0,1]. Step 4: Based on preset weighting coefficients, for river water: pH index accounts for 30%, turbidity index accounts for 30%, conductivity index accounts for 20%, and iron ion index accounts for 20%; for groundwater: pH index accounts for 30%, turbidity index accounts for 20%, iron ion index accounts for 30%, and conductivity index accounts for 20%. Calculate the comprehensive water quality index by weighting and summing the secondary indices. The water quality comprehensive index in step four : ,in, The water quality comprehensive index represents the overall quality of the water source sample, ranging from [0,1]. A value closer to 1 indicates better water quality. The weighting coefficients can be fine-tuned according to the water source type: for river water sources, the turbidity index weight is increased to 35%, and the conductivity index weight is decreased to 15%; for tap water sources, the iron ion index weight is increased to 25%, and the pH index weight is decreased to 25%; for reclaimed water sources, based on the river water weight, the conductivity weight is increased by 5%, and the turbidity weight is decreased by 5%; for seawater sources, based on the groundwater weight, the pH weight is decreased by 5%, and the conductivity weight is increased by 5%. After fine-tuning, the sum of the weights of each parameter remains 100%, and the magnitude of a single fine-tuning does not exceed 5%. The final result should be rounded to two decimal places. Step 5: Based on the rate of change of the comprehensive water quality index, abnormal fluctuations in water source temperature, hydraulic stagnation risk coefficient, and system pressure risk coefficient, input the preset multivariate regression model to calculate the comprehensive degradation risk value; The comprehensive risk value of deterioration in step five : ,in, for The weighting coefficient reflects the contribution of water quality abnormalities to the failure of the water source heat pump unit (1), and is fixed at 0.

4. Hydraulic stagnation risk coefficient The weighting coefficient, reflecting the contribution of hydraulic stagnation to unit failure, is fixed at 0.

2. The hydraulic stagnation risk coefficient is calculated using the following formula: , Real-time flow rate of the water supply pipeline. The rated flow rate is designed for the water source heat pump unit (1). This represents the actual pressure loss in the water supply pipeline. The maximum allowable pressure loss is designed for the water supply pipeline; for The weighting coefficient is fixed at 0.2; To evaluate the safety of the core system pressure of the water source heat pump unit (1) as the system pressure risk coefficient, when ≥0.8× and ≤1.2× hour: The calculation formula is ; when <0.8× hour, =0.5; when >1.2× hour, =0; 0≤ ≤1, The closer the value is to 1, the safer the pressure condition. The closer the pressure is to 0, the higher the risk of abnormal stress. A medium-risk response is triggered when the value is less than 0.

5. When the value is 0, the machine will stop immediately and issue a high-voltage alarm. The real-time pressure of the core system of the water source heat pump unit (1) is collected by a pressure sensor installed at the condenser outlet, at a distance of 2 times the pipe diameter from the interface of the water source heat pump unit (1) and avoiding the valve throttling area. The rated working pressure for the water source heat pump unit (1) is directly referenced from the product nameplate value of the water source heat pump unit (1); for The weighting coefficient, reflecting the contribution of the water quality deterioration rate to the failure, is fixed at 0.

1. The water quality composite index represents the rate of change over time, reflecting the speed at which water quality deteriorates or improves. The calculation formula is as follows: , For this test value, The WOI value from the previous test. The sampling period set for step one is 2h=120min for river water and 4h=240min for tap water; for The weighting coefficient reflects the contribution of temperature deviation to the fault, and its value varies depending on the scenario: when ≤5℃, The value is 0.02, when >5℃, The value is 0.03; The temperature deviation is calculated using the following formula: , This refers to the actual operating temperature. This is the median of the normal temperature range; Step Six: Based on the calculated comprehensive water quality index and comprehensive risk value of water quality degradation, trigger the corresponding system response, including triggering alarms, prompting maintenance, and forcibly executing shutdown protection.

2. The self-testing method for a vortex-type water source heat pump unit according to claim 1, characterized in that: In step three, the detection results are converted into secondary exponents using a piecewise normalization algorithm: pH sensor (24) measures pH index When pH ≤ 6.5 or pH ≥ 8.5, =0; When 6.5 < pH < 8.5, ,in, The normalization index represents the pH value, ranging from [0,1]. The closer the value is to 1, the more ideal the pH value. The measured pH value is dimensionless and represents the acidity or alkalinity of the water source sample. The normal range is usually 6.5-8.

5. If it exceeds this range, the index is 0. 7.5 is the optimal pH value for the water source heat pump unit (1). 1.5 is the half-width of the allowable fluctuation range corresponding to the optimal pH value. Turbidimeter (25) measures turbidity index When turbidity 实测 When ≤6.5 NTU, =1; When 6.5 < turbidity 实测 When <100 NTU, ; When turbidity 实测 ≥100, =0; in, Turbidity index is the normalized index of turbidity, ranging from [0,1]. A value closer to 1 indicates lower turbidity. 实测 The turbidity value of the water sample detected by the sensor is 6.5 NTU, which is the minimum allowable turbidity threshold for the water source heat pump unit (1), and 100 NTU is the turbidity threshold for the shutdown protection of the water source heat pump unit (1). Conductivity meter (26) measures conductivity index When the measured conductivity is ≤500μS / cm, =1; When 500 < conductivity 实测 <1500μS / cm, ; When conductivity 实测 ≥1500μS / cm, =0; in, The conductivity index represents the normalized exponent of conductivity, ranging from [0,1]. A value closer to 1 indicates more ideal conductivity. 实测 The conductivity value of the water sample detected by the sensor is 500 μS / cm, which is the baseline value for the conductivity of clean water sources, and 1500 μS / cm is the high salinity risk threshold. Metal ion detector (27) measures iron ion index When the measured iron ion concentration is ≤0.1 mg / L, =1; When 0.1 < iron ions 实测 <0.5mg / L, ; When iron ions 实测 >0.5mg / L, =0; Among them, iron ions 实测 The concentration of iron ions in the water sample detected by the sensor is 0.1 mg / L, which is the allowable safe concentration of iron ions for the water source heat pump unit (1), and 0.5 mg / L is the concentration at risk of pipeline corrosion.

3. The self-testing method for a vortex-type water source heat pump unit according to claim 2, characterized in that: In step six, according to and Value-based trigger response: when <0.6 or If the value is greater than 0.7, an audible and visual alarm will be triggered, the bypass valve will be closed, and the water source will be isolated. When 0.6≤ <0.8 and 0.4≤ ≤0.7, maintenance is required; start the backwashing procedure. when ≥0.8 and <0.4, normal operation, data recording.

4. The self-testing method for a vortex-type water source heat pump unit according to claim 3, characterized in that: The detection component is located on one side of the main water inlet pipeline of the water source heat pump unit (1). One end of the bypass valve (11) is fixedly connected to one end of the main water inlet pipeline of the water source heat pump unit (1). One end of the bypass valve (11) is fixedly connected to one end of the inlet of the sampling pump (12). One end of the outlet of the sampling pump (12) is fixedly connected to the outer surface of the sampling tank (2).

5. The self-testing method for a vortex-type water source heat pump unit according to claim 4, characterized in that: A movable frame (21) is slidably inserted into the inner wall of the sampling container (2). A push rod (22) with a rack is slidably inserted into the inner wall of the sampling container (2). One end of the push rod (22) extends into the inner wall of the sampling container (2) and is fixedly installed with a connecting frame (23). The pH sensor (24), the turbidity meter (25), the conductivity meter (26), and the metal ion detector (27) are all fixedly installed on the outer surface of the connecting frame (23). A connecting spring (28) is fixedly installed on the lower surface of the connecting frame (23). One end of the connecting spring (28) is fixedly installed with the inner wall of the movable frame (21).

6. The self-testing method for a vortex-type water source heat pump unit according to claim 5, characterized in that: A drive motor (3) with gears is fixedly installed on the upper surface of the sampling container (2), and the output shaft gear of the drive motor (3) meshes with the rack of the push rod (22).

7. The self-testing method for a vortex-type water source heat pump unit according to claim 6, characterized in that: The inner wall of the sampling tank (2) is rotatably connected to a stirring paddle (4). The outer surface of the stirring paddle (4) is provided with a spiral groove (41). The inner wall of the push rod (22) is slidably inserted into the groove of the spiral groove (41) through a column. The inner wall of the push rod (22) is slidably sleeved with the outer surface of the stirring paddle (4).

8. The self-testing method for a vortex-type water source heat pump unit according to claim 7, characterized in that: The inner wall of the mobile frame (21) is fixedly installed with a cleaning pipe (5), and the outer surface of the sampling tank (2) is fixedly connected with a conveying pipe (51). One end of the conveying pipe (51) is fixedly connected to the outer surface of the cleaning pipe (5) through a hose.

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