Multi-source coupling water source heat pump cooling control system

Abstract

The invention belongs to the technical field of heat pump cooling control, and particularly discloses a multi-source coupling water source heat pump cooling control system which comprises a water source set screening module, a mixed water source obtaining module, a water treatment instruction generating module, a temperature control area dividing module and a cooling control generating module. The alternative water source set is generated through multi-dimensional water quality comparison, the water mixing proportion is dynamically adjusted in combination with the real-time temperature gradient and the normalized weighting algorithm, multi-source complementation and energy efficiency optimization of the water source are achieved, collaborative optimization of water quality and temperature is achieved, meanwhile, filtering, disinfection and pH adjusting instructions are generated through real-time monitoring of water quality parameters of the mixed water source, and the water quality of the mixed water source is effectively improved. The stability of the mixed water source and the equipment safety are ensured, and the refrigeration efficiency and the system reliability are improved by adopting a clustering grouping and matching degree analysis strategy to divide temperature control areas and generate accurate control instructions of the water flow and the rotating speed of the compressor according to the number of loads and refrigeration requirements.

Description

Technical Field

[0001] The present invention belongs to the technical field of heat pump cooling control, and relates to a multi-source coupled water source heat pump cooling control system. Background Art

[0002] The multi-source coupled water source heat pump is an energy-efficient system that integrates multiple natural or regenerated water sources (such as groundwater, surface water, air, industrial wastewater, etc.) as cold and heat sources. Its core goal is to optimize the energy efficiency and stability of the heat pump system by dynamically coupling the temperature and water quality characteristics of different water sources, and to solve the problem that a single water source is affected by environmental fluctuations. However, there are still significant deficiencies in the existing technology in terms of multi-source mixing control, water quality adaptability, and load matching, specifically manifested as follows:

[0003] The existing technology mostly relies on simple water source switching or dual-source coupling without multi-dimensional detection and analysis of the water source itself. For example, the Chinese invention patent with the publication number CN222480821 U discloses a dual-source coupled heat pump system, which forms different circulation pipelines through solenoid valve control to achieve the switching of single or dual-source operation modes. However, its technical solution has essential defects: 1. Although such systems can select a heat pump with higher energy efficiency for operation, they fail to achieve intelligent mixing and dynamic ratio adjustment of multiple water sources, resulting in the inability to fully utilize the complementary advantages of multiple sources (such as the coordinated utilization of water sources and water quality), and lacking the optimization of the mixing ratio based on the real-time temperature gradient, which limits the further improvement of the overall energy efficiency of the system.

[0004] 2. It does not combine the real-time monitoring and treatment of water quality parameters. When the water quality of the water source fluctuates, the system is prone to problems such as scaling, corrosion, or microbial growth, seriously affecting the equipment life and operation reliability. In addition, the water quality difference during multi-source mixing may lead to the deterioration of the mixed water quality, but the existing technology lacks filtering, disinfection, and pH adjustment mechanisms for the mixed water source, making it difficult to cope with complex water quality scenarios. Summary of the Invention

[0005] In view of this, to solve the problems raised in the above background art, a multi-source coupled water source heat pump cooling control system is proposed.

[0006] The object of the present invention can be achieved through the following technical solutions: The present invention provides a multi-source coupled water source heat pump cooling control system, including: a water source set screening module, which is used to obtain the turbidity, pH value, microbial content, and real-time temperature of each water source, and generate an alternative water source set through multi-dimensional water quality comparison.

[0007] A mixed water source acquisition module, which is used to generate a temperature gradient according to the real-time temperature of each alternative water source in the alternative water source set, calculate the mixing ratio through weighted calculation, and control the water source valve to output the mixed water source.

[0008] A water treatment instruction generation module, which is used to obtain the water quality parameters of the mixed water source, judge the water quality of the mixed water source, and generate water treatment instructions.

[0009] A temperature control area division module, which is used to divide the water source heat pump cavity into each temperature control area, and collect the real-time inlet and outlet temperatures and water flow thresholds of each temperature control area.

[0010] A cooling control generation module, which is used to match the temperature control area corresponding to each load based on the refrigeration demand of each load, and at the same time combine the real-time inlet and outlet temperatures and water flow thresholds of each temperature control area to generate and execute the corresponding water source cooling control.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention generates an alternative water source set through multi-dimensional water quality comparison, combines the real-time temperature gradient and weighted algorithm to dynamically adjust the mixing ratio of the mixed water, realizes the multi-source complementarity and energy efficiency optimization of the water source, realizes the collaborative optimization of water quality and temperature, reduces the risk of subsequent equipment scaling or corrosion, and thus improves the reliability of the long-term operation of the system.

[0012] (2) The present invention generates filtering, disinfection and pH adjustment instructions through real-time monitoring of the water quality parameters of the mixed water source, ensures the stability of the mixed water source and the safety of the equipment, and further improves the reliability of coping with complex water quality scenarios.

[0013] (3) The present invention divides the temperature control area and generates precise control of the water flow and compressor speed by adopting a clustering grouping and matching degree analysis strategy according to the number of loads and refrigeration demands, thereby improving the refrigeration efficiency and system reliability.

[0014] (4) The present invention dynamically adjusts the opening of the water flow valve and the compressor speed through threshold judgment, breaks through the current simple control that only relies on the switching of the water flow valve, realizes the collaborative optimization of parameters under complex working conditions, and at the same time ensures the efficient operation of the system within the safety threshold by calculating the required refrigeration capacity, thereby improving the energy efficiency ratio of the system and reducing the operation energy consumption during multi-source complementarity. Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0017] Figure 2 It is a schematic diagram of the connection of the matching steps of the temperature control area corresponding to each load of the present invention.

[0018] Figure 3 This is a schematic diagram showing the connection of the water source cooling control generation steps of the present invention. Detailed implementation manners

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Please refer to Figure 1 As shown, the present invention provides a multi-source coupled water source heat pump cooling control system, which includes: a water source set screening module, a mixed water source acquisition module, a water treatment instruction generation module, a temperature control area division module, and a cooling control generation module.

[0021] Among the above, the mixed water source acquisition module is respectively connected to the water source set screening module and the water treatment instruction generation module, and the temperature control area division module is also respectively connected to the water treatment instruction generation module and the cooling control generation module.

[0022] The water source set screening module is used to obtain the turbidity, pH value, microbial content, and real-time temperature of each water source, and generate an alternative water source set through multi-dimensional water quality comparison.

[0023] It should be added that the turbidity, pH value, microbial content, and real-time temperature of the water source are respectively detected by a turbidity sensor, a pH sensor, a biosensor, and a temperature sensor installed at the water outlet of the water source.

[0024] It should be added that in the water source heat pump system, the selection of turbidity, pH value, and microbial content for water quality analysis is mainly based on the following reasons: high turbidity is likely to cause scaling and pipeline blockage, directly reducing the heat exchange efficiency and causing equipment failures; a pH value deviating from the standard range will cause an acidic environment to accelerate metal corrosion, or an alkaline environment to cause scaling. At the same time, excessive microbial reproduction forms a biofilm, exacerbating electrochemical corrosion and deteriorating water quality.

[0025] Exemplarily, generating an alternative water source set through multi-dimensional water quality comparison includes: comparing the turbidity of each water source with a preset standard turbidity. If the turbidity of a certain water source is less than the preset standard turbidity, the turbidity deviation of the water source is recorded as 0. Otherwise, the difference between the turbidity and the standard turbidity is used as the turbidity deviation, and the ratio of the turbidity deviation to the standard turbidity is used as the turbidity deviation degree, thereby obtaining the turbidity deviation degree of each water source.

[0026] Analyze the microbial content deviation degree of each water source in the same way as the analysis method of the turbidity deviation degree of each water source.

[0027] Compare the pH of each water source with the preset standard pH range to determine the pH deviation degree of each water source.

[0028] Further, the determining the pH deviation degree of each water source includes: when the pH of the water source is within the preset standard pH range, record the pH deviation degree as 0.

[0029] When the pH of the water source is less than the lower limit value of the preset standard pH range, divide the difference between the lower limit value of the standard pH range and the pH of the water source by the lower limit value of the standard pH range to obtain the pH deviation degree.

[0030] When the pH of the water source is greater than the upper limit value of the preset standard pH range, divide the difference between the pH of the water source and the upper limit value of the standard pH range by the upper limit value of the standard pH range to obtain the pH deviation degree, and then obtain the pH deviation degree of each water source.

[0031] Perform weighted summation on the turbidity deviation degree, microbial content deviation degree and pH deviation degree of each water source to obtain the total water quality deviation degree of each water source.

[0032] In a specific embodiment, the scenario is set that the standard water quality parameters are turbidity ≤ 5 NTU, microbial content ≤ 100 CFU / mL, pH value 6.5 - 8.5, weight distribution: turbidity deviation degree accounts for 0.4, microbial deviation degree accounts for 0.35, pH deviation degree accounts for 0.25, alternative water source: water source E.

[0033] Implementation steps and calculations: (1) Parameters of water source E: turbidity is 4 NTU (lower than the standard), then the turbidity deviation degree is 0, the microbial content is 120 CFU / mL (exceeding the standard by 20), then the microbial deviation degree is (120 - 100) / 100 = 0.2, the pH value is 7.0 (within the standard range), the pH deviation degree is 0, then the total water quality deviation degree is 0×0.4 + 0.2×0.35 + 0×0.25 = 0.07.

[0034] It should be added that the reasons for the turbidity deviation degree accounting for 0.4, the microorganism deviation degree accounting for 0.35, and the pH deviation degree accounting for 0.25 are as follows: The reason for the turbidity deviation degree weight of 0.4 is that turbidity is an index to measure the content of suspended particles in water. High-turbidity water sources are likely to cause scaling on the surfaces of heat exchange equipment such as condensers and evaporators, reducing the heat transfer efficiency and even causing pipeline blockages. Moreover, turbidity exceeding the standard is the primary cause of cooling system failures, so the highest weight is assigned. The reason for the microorganism deviation degree weight of 0.35 is that the excessive reproduction of microorganisms (such as bacteria and algae) will form biofilms, exacerbating the electrochemical corrosion of metal pipelines and at the same time reducing the water quality stability, so the second-highest weight is assigned to it. The reason for the pH deviation degree weight of 0.25 is that the pH value affects the solubility and corrosiveness of dissolved salts in water. Excessive high or low pH values will accelerate equipment corrosion (such as acidic environments causing steel corrosion and alkaline environments causing calcium carbonate scaling). Although the pH value also has an important impact on equipment corrosion and water quality, compared with turbidity and microorganism content, its impact is relatively indirect and slow, so its weight is the lowest.

[0035] Screen each water source with the total water quality deviation degree less than the preset water quality deviation degree to form a set of alternative water sources.

[0036] In a specific embodiment, the preset standards are turbidity ≤ 6 NTU, pH range 6.5 - 7.5, and microorganism content ≤ 100 CFU / mL. The water source parameters of water source 1, water source 2, and water source 3 are shown in Table 1.

[0037] Table 1: Schematic table of water source parameters

[0038] Water source Turbidity pH Microbial content Total water quality deviation 1 8 7.8 200 0.49 2 5 7.5 50 0 3 7 7.2 80 0.07

[0039] The preset water quality deviation degree is 0.3. Then, water source 1 is excluded due to the exceeding of the total water quality deviation degree, and water source 2 and water source 3 are included in the set of alternative water sources.

[0040] The mixed water source acquisition module is used to generate a temperature gradient according to the real-time temperatures of each alternative water source in the set of alternative water sources, calculate the mixing ratio through weighted calculation, and control the water source valve to output the mixed water source.

[0041] Exemplarily, the calculating the mixing ratio through weighted calculation includes: extracting the total water quality deviation degrees of each alternative water source from the total water quality deviation degrees of each water source.

[0042] Taking 1 minus the total water quality deviation degree of each alternative water source as the water quality qualification degree of each alternative water source.

[0043] Sort the water quality qualification degrees in descending order to generate a water quality gradient sequence.

[0044] Sort the real-time temperatures of each alternative water source in ascending order to generate a temperature gradient sequence.

[0045] If the water quality gradient and temperature gradient of a certain alternative water source are both ranked first, set the mixing ratio of this alternative water source to 1, and the mixing ratios of the remaining alternative water sources to 0.

[0046] If there is no alternative water source with both the water quality gradient and temperature gradient ranked first, calculate the temperature qualification degree of each alternative water source, and perform weighted summation based on the water quality qualification degree and temperature qualification degree of each alternative water source to obtain the qualification degree of each alternative water source, and compare it with the set qualification degree threshold to screen out each alternative water source with a qualification degree greater than the set qualification degree threshold as each mixing water source.

[0047] It should be added that the calculation of the temperature qualification degree is as follows: Match and compare the real-time temperature with the temperature intervals corresponding to each temperature qualification degree to obtain the temperature qualification degree corresponding to the real-time temperature.

[0048] Sum up the qualification degrees of each mixing water source to obtain the total qualification degree, and then use the ratio of the qualification degree of each mixing water source to the total qualification degree as the mixing ratio of each mixing water source.

[0049] In a specific embodiment, the water quality qualification degrees and temperature qualification degrees of each alternative water source are shown in Table 2.

[0050] Table 2: Schematic Table of Water Quality Parameters of Each Alternative Water Source

[0051] Alternative water source Water quality compliance Temperature compliance A 0.9 0.8 B 0.7 0.9 C 0.5 0.6

[0052] Calculation of the qualification degree of the alternative water source: The weights of the water quality qualification degree and the temperature qualification degree are respectively set as α 1 = 0.6, α 2 = 0.4. This ratio is verified through gradient descent optimization experiments on the historical data set of the water source heat pump cooling control system. The water quality deviation directly affects equipment scaling and corrosion. An appropriate temperature can improve energy efficiency (such as low-temperature water sources being preferentially used for refrigeration). Temperature mismatch can be compensated by adjusting the compressor speed or water flow, while water quality problems cannot be solved through simple adjustment. Therefore, set α 1 > α 2 .

[0053] Qualification degree: ω A = 0.6×0.9 + 0.4×0.8 = 0.86, ω B = 0.6×0.7 + 0.4×0.9 = 0.78, ω C = 0.6×0.5 + 0.4×0.6 = 0.54.

[0054] Mixing selection: If the set qualification degree threshold is 0.6, then select alternative water source A and alternative water source B, and the mixing ratio is:

[0055] In the embodiment of the present invention, an alternative water source set is generated through multi-dimensional water quality comparison, and the mixing water ratio is dynamically adjusted by combining the real-time temperature gradient and the weighted algorithm, realizing the multi-source complementarity and energy efficiency optimization of water sources, achieving the collaborative optimization of water quality and temperature, reducing the risk of scaling or corrosion of subsequent equipment, and thus improving the reliability of the long-term operation of the system.

[0056] The water treatment instruction generation module is used to obtain the water quality parameters of the mixed water source, judge the water quality of the mixed water source, and generate water treatment instructions.

[0057] Exemplarily, the judging the water quality of the mixed water source includes: extracting the turbidity, pH value and microbial content of the mixed water source from the water quality parameters of the mixed water source, taking the difference between the turbidity of the mixed water source and the standard turbidity as the turbidity difference of the mixed water source, and matching the turbidity difference of the mixed water source with the preset turbidity difference interval to generate a filtration treatment instruction.

[0058] It should be added that the acquisition methods of the turbidity, pH value and microbial content of the mixed water source are the same as those of the turbidity, pH value and microbial content of the water source, and will not be repeated here.

[0059] The disinfection treatment instruction and the pH adjustment treatment instruction are obtained by analyzing in the same way as the analysis method of the filtration treatment instruction.

[0060] The filtration treatment instruction, the disinfection treatment instruction and the pH adjustment treatment instruction are used as water treatment instructions.

[0061] It should be added that the respective filtration treatment instructions, disinfection treatment instructions and pH adjustment treatment instructions of the water treatment instructions are shown in Table 3, Table 4 and Table 5 respectively.

[0062] Table 3: Schematic Table of Filtration Treatment Instructions

[0063] Turbidity difference range Filtration instruction Instruction ≤0 No filtration required The turbidity of the mixed water source is lower than or equal to the standard turbidity, meeting the requirements 0 < turbidity difference ≤ 0.5 Coarse filtration Simple physical filtration (such as filter screen) 0.5 < turbidity difference ≤ 1 Medium filtration Sand filtration or activated carbon adsorption Turbidity difference > 1 Fine filtration Ultrafiltration / Reverse osmosis membrane filtration

[0064] Table 4: Schematic Table of Disinfection Treatment Instructions

[0065]

[0066] Table 5: Schematic Table of pH Adjustment Treatment Instructions

[0067]

[0068]

[0069] In the embodiment of the present invention, by real-time monitoring of the water quality parameters of the mixed water source, filtration, disinfection and pH adjustment instructions are generated to ensure the stability of the mixed water source and the safety of the equipment, thereby improving the reliability of coping with complex water quality scenarios.

[0070] The temperature control area division module is used to divide the water source heat pump cavity into each temperature control area, and collect the real-time inlet and outlet temperatures and water flow thresholds of each temperature control area.

[0071] It should be added that the real-time inlet and outlet temperatures are respectively collected by temperature sensors installed at the inlet and outlet of the temperature control area, and the water flow threshold is determined when the water source heat pump cavity is divided.

[0072] The cooling control generation module is used to match the temperature control area corresponding to each load based on the refrigeration demand of each load, and at the same time, combine the real-time inlet and outlet temperatures and water flow thresholds of each temperature control area to generate and execute the corresponding water source cooling control.

[0073] Please refer to Figure 2 As shown, exemplarily, the matching of the temperature control area corresponding to each load includes: R1. Compare the number of loads with the number of temperature control areas. When the number of loads is less than or equal to the number of temperature control areas, calculate the refrigeration demand matching degree between the load and the temperature control area, and allocate independent temperature control areas for each load according to the principle of the highest refrigeration demand matching degree.

[0074] Furthermore, the analysis content of allocating independent temperature control areas for each load includes: R1-1. Combine each load with each temperature control area to form each matching combination.

[0075] R1-2. Based on the refrigeration demand of each load, the real-time inlet and outlet temperatures of each temperature control area, and the water flow threshold, calculate the refrigeration demand matching degree of each matching combination.

[0076] It should be added that the calculation process of the refrigeration demand matching degree includes: through the formula Convert the refrigeration demand of the load into the required temperature difference. In the formula, ΔT is the required temperature difference, Q is the load refrigeration demand, V is the water flow threshold, 3.6 is the unit conversion coefficient (converting kW to kJ / h, because 1kW = 3600kJ / h), and 4.186 is the specific heat capacity of water (unit: kJ / (kg·°C)).

[0077] Through the formula Calculate the refrigeration demand matching degree. In the formula, λ is the refrigeration demand matching degree, ΔT′ is the temperature difference between the inlet and outlet of the temperature control area, and ΔT max is the maximum allowable temperature difference set as a reference.

[0078] R1-3. Select the matching combination with the highest refrigeration demand matching degree, and gradually allocate until all loads are completed, so as to obtain the independent temperature control area corresponding to each load.

[0079] In a specific embodiment, the refrigeration requirements of each load are as follows: Load A = 15 kW, Load B = 10 kW, Load C = 8 kW. The real-time inlet and outlet temperatures of the temperature control areas are as follows: Temperature control area X: T1 = 25 °C, T2 = 18 °C; Temperature control area Y: T3 = 20 °C, T4 = 14 °C; Temperature control area Z: T5 = 18 °C, T6 = 13 °C. The water flow threshold V of the temperature control areas is 30 m3 / h, and the maximum allowable temperature difference ΔT max set as a reference is 10 °C.

[0080] (1) Calculate the required temperature differences of each temperature control area through the formula and obtain that the required temperature differences of each temperature control area are ΔT 1 ≈0.43, ΔT 2 ≈0.29, ΔT 3 ≈0.23.

[0081] (2) Calculate the temperature differences at the inlets and outlets of each temperature control area. For temperature control area X: ΔT 1 ′ = 7 °C; for temperature control area Y: ΔT 2 ′ = 6 °C; for temperature control area Z: ΔT 3 ′ = 5 °C.

[0082] (3) Calculate the refrigeration requirement matching degrees through the formula . The refrigeration requirement matching degree of matching combination 1 (Load A + Temperature control area X) is 0.343, the refrigeration requirement matching degree of matching combination 2 (Load A + Temperature control area Y) is 0.443, the refrigeration requirement matching degree of matching combination 3 (Load A + Temperature control area Z) is 0.543, the refrigeration requirement matching degree of matching combination 4 (Load B + Temperature control area X) is 0.329, the refrigeration requirement matching degree of matching combination 5 (Load B + Temperature control area Y) is 0.43, the refrigeration requirement matching degree of matching combination 6 (Load B + Temperature control area Z) is 0.529, the refrigeration requirement matching degree of matching combination 7 (Load C + Temperature control area X) is 0.323, the refrigeration requirement matching degree of matching combination 8 (Load C + Temperature control area Y) is 0.429, and the refrigeration requirement matching degree of matching combination 9 (Load C + Temperature control area Z) is 0.523.

[0083] (4) First-round matching: Select the combination with the highest matching degree, which is matching combination 3.

[0084] (5) Second-round matching: Delete the matched load and temperature control area, and select the combination with the highest matching degree from the remaining matching combinations, which is matching combination 5.

[0085] (6) Third-round matching: Delete the matched load and temperature control area, and obtain matching combination 7.

[0086] (7)Final matching result: Load A → Temperature control area Z (0.543), Load B → Temperature control area Y (0.43), Load C → Temperature control area X (0.323).

[0087] The load A with the highest cooling demand (15 kW) is assigned to the temperature control area Z with the lowest temperature (18 °C) to avoid wasting energy due to excessive cooling. The low-demand load C (8 kW) is matched with the high-temperature temperature control area X (25 °C) to avoid small loads occupying low-temperature temperature control areas. Through the quantification of the matching degree and step-by-step screening, the optimal dynamic matching between the load and the temperature control area is achieved.

[0088] R2. When the number of loads is greater than the number of temperature control areas, the loads are sorted in descending order of cooling demand to obtain an ordered load sequence, and the temperature control areas are matched through clustering grouping to obtain the assigned temperature control areas for each load clustering group.

[0089] Furthermore, the matching of the temperature control areas through clustering grouping includes: R2-1. Subtracting adjacent loads in the ordered load sequence to generate a load difference sequence.

[0090] R2-2. Sort the load differences in the load difference sequence from largest to smallest, and select a set number of load differences before sorting.

[0091] It should be added that the set number is the number of temperature control areas minus 1.

[0092] R2-3. Based on the gap positions of the ordered load sequence corresponding to the load differences, divide the ordered load sequence into each load clustering group.

[0093] In a specific embodiment, if the ordered load sequence W = [21, 19, 14, 13, 10] and the total number of temperature control areas M = 3, the generation steps of the load clustering group are as follows:

[0094] 1. Generate a load difference sequence: Calculate the differences between adjacent loads: 21 - 19 = 2 (corresponding gap position: 21 → 19), 19 - 14 = 5 (corresponding gap position: 19 → 14), 14 - 13 = 1 (corresponding gap position: 14 → 13), 13 - 10 = 3 (corresponding gap position: 13 → 10), then the load difference sequence is D = [2, 5, 1, 3].

[0095] 2. Selection of the ordered load sequence gap positions: Sort the load differences from largest to smallest: [5, 3, 2, 1] (the corresponding ordered load sequence gap positions are 19 → 14, 13 → 10, 21 → 19, 14 → 13).

[0096] 3. Select the first M - 1 = 2 load differences before sorting: 5 and 3, and the corresponding ordered load sequence gap positions are: the difference 5 corresponds to the gap 19 → 14, and the difference 3 corresponds to the gap 13 → 10.

[0097] 4. Divide the ordered load sequence into each load clustering group: [21, 19], [14, 13],

[10] .

[0098] R2-4. Sum up the refrigeration demands of each load clustering group to obtain the total refrigeration demand of each load clustering group.

[0099] R2-5. Match and compare the total refrigeration demand of each load clustering group with the refrigeration demand interval corresponding to each demand water flow rate to obtain the demand water flow rate of each load clustering group, and then calculate the water flow rate matching degree and refrigeration demand matching degree of each load clustering group and each temperature control area respectively.

[0100] It should be added that the formula for the water flow rate matching degree is In the formula is the water flow rate matching degree, β 1 and β 2 are the demand water flow rate and the water flow rate threshold respectively.

[0101] R2-6. Perform a sum and average calculation on the water flow rate matching degree and the refrigeration demand matching degree to obtain the comprehensive matching degree of each load clustering group and each temperature control area, and then allocate the temperature control area to each load clustering group according to the principle of the highest comprehensive matching degree to obtain the allocated temperature control area of each load clustering group.

[0102] In a specific embodiment, the scenario is set as follows: number of loads: 5 (loads D, E, F, G, H), number of temperature control areas: 3 (temperature control areas 6-8), the refrigeration demands of the loads are load D (20 kW), load E (25 kW), load F (18 kW), load G (30 kW), load H (22 kW) respectively, the water flow rate thresholds and the inlet and outlet real-time temperatures of the temperature control areas are temperature control area 6 (30 m3 / h, 23 °C, 16 °C), temperature control area 7 (25 m3 / h,, 22 °C, 14 °C), temperature control area 8 (20 m3 / h, 21 °C, 25 °C) respectively, the real-time temperatures of the temperature control areas are 23 °C, and the relationship table between the demand water flow rate and the refrigeration demand interval is shown in Table 6.

[0103] Table 6: Relationship table between demand water flow rate and refrigeration demand interval

[0104] Refrigeration demand range (kW) Required water flow (m3 / h) ≤50 20 51-100 35

[0105] The allocation steps of the load clustering group and the temperature control area include: (1) Divide the loads into each load clustering group: load clustering group 1 [loads D, F, H], load clustering group 2 [load E], load clustering group 3 [load G].

[0106] (2) Calculate the total cooling demand of each load clustering group: The total cooling demand of load clustering group 1 is 20 + 18 + 22 = 60 kW, the total cooling demand of load clustering group 2 is 25 kW, and the total cooling demand of load clustering group 3 is 30 kW.

[0107] (3) Based on the relationship table between the required water flow rate and the cooling demand interval, match the required water flow rate of each load clustering group. The required water flow rate of load clustering group 1 is 35 m3 / h, the required water flow rate of load clustering group 2 is 20 m3 / h, and the required water flow rate of load clustering group 3 is 20 m3 / h.

[0108] (4) Calculate the comprehensive matching degree between each load clustering group and each temperature control area. The comprehensive matching degree between load clustering group 1 and temperature control area 6 is 0.65, the comprehensive matching degree between load clustering group 1 and temperature control area 7 is 0.51, the comprehensive matching degree between load clustering group 1 and temperature control area 8 is 0.55, the comprehensive matching degree between load clustering group 2 and temperature control area 6 is 0.52, the comprehensive matching degree between load clustering group 2 and temperature control area 7 is 0.55, the comprehensive matching degree between load clustering group 2 and temperature control area 8 is 0.85, the comprehensive matching degree between load clustering group 3 and temperature control area 6 is 0.53, the comprehensive matching degree between load clustering group 3 and temperature control area 7 is 0.86, and the comprehensive matching degree between load clustering group 3 and temperature control area 8 is 0.77.

[0109] (5) Allocate the temperature control area according to the principle of the highest comprehensive matching degree. Load clustering group 1 → temperature control area 6, load clustering group 2 → temperature control area 8, load clustering group 3 → temperature control area 7.

[0110] In the embodiment of the present invention, by adopting the clustering grouping and matching degree analysis strategy according to the load quantity and the cooling demand, the temperature control area is divided and the precise control of the water flow rate and the compressor speed is generated, so as to improve the refrigeration efficiency and the system reliability.

[0111] Please refer to Figure 3 As shown, exemplarily, the generating and executing the corresponding water source cooling control includes: Q1. When the load number is less than or equal to the number of temperature control areas, based on the independent temperature control areas corresponding to each load, close the control water flow valve and turn off the compressor for the temperature control areas where the loads are not allocated.

[0112] Q2. Take the cooling demand of the loads corresponding to each independent temperature control area as the cooling demand of each independent temperature control area.

[0113] Q3. Match and compare the cooling demand of each independent temperature control area with the cooling demand intervals corresponding to each required water flow rate to obtain the required water flow rate of each independent temperature control area, and then execute the control water flow valve to the opening corresponding to the required water flow rate for each independent temperature control area.

[0114] Q4. When the number of loads is greater than the number of temperature control zones, allocate temperature control zones based on the clustering and grouping of each load, match the required water consumption of each allocated temperature control zone, and generate and execute the water source cooling control for each allocated temperature control zone by comparing and analyzing the required water flow rate and the water flow rate threshold of each allocated temperature control zone.

[0115] Further, the generating and executing the water source cooling control for each allocated temperature control zone includes: Q4-1. If the required water flow rate corresponding to a certain allocated temperature control zone is less than or equal to its water flow rate threshold, then control the water flow valve to the opening corresponding to the required water flow rate for this allocated temperature control zone.

[0116] Q4-2. If the required water flow rate corresponding to a certain allocated temperature control zone is greater than the water flow rate threshold, match and compare the total cooling demand of this allocated temperature control zone with the cooling demand corresponding to each temperature to obtain the required temperature of this allocated temperature control zone.

[0117] Q4-3. Calculate the difference between the real-time outlet temperature and the required temperature of this allocated temperature control zone to obtain the required temperature difference of this allocated temperature control zone.

[0118] Q4-4. Calculate the product of the required temperature difference and the water flow rate threshold of this allocated temperature control zone to obtain the required cooling capacity of this allocated temperature control zone, and control the water flow valve to the opening corresponding to the water flow rate threshold and control the compressor speed to the speed corresponding to the required cooling capacity for this allocated temperature control zone. Wherein, Q = c×m×ΔT, where Q is the required cooling capacity, c is the specific heat capacity of water, c = 4.186 kJ / (kg·°C), m is the water flow rate threshold, and ΔT is the required temperature difference.

[0119] The embodiment of the present invention dynamically adjusts the opening of the water flow valve and the compressor speed through threshold judgment, breaks through the current simple control that only relies on the switching of the water flow valve, realizes the coordinated optimization of parameters under complex working conditions, and at the same time ensures the efficient operation of the system within the safety threshold by calculating the required cooling capacity, thereby improving the energy efficiency ratio of the system and reducing the operating energy consumption during multi-source complementary operation.

[0120] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements or use similar methods to replace the specific embodiments described, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A multi-source coupled water source heat pump cooling control system, characterized in that: The system includes: The water source set screening module is used to obtain the turbidity, pH value, microbial content and real-time temperature of each water source, and generate a set of candidate water sources through multi-dimensional water quality comparison; A mixed water source acquisition module is used to generate a temperature gradient according to the real-time temperature of each alternative water source in the alternative water source set, calculate the mixed water ratio by weighting, and adjust the water source valve to output the mixed water source; A water treatment instruction generation module is used to obtain water quality parameters of mixed water sources, make mixed water quality judgments, and generate water treatment instructions; The temperature control area division module is used to divide the water source heat pump cavity into various temperature control areas and collect the real-time inlet and outlet temperatures and water flow thresholds of each temperature control area; The cooling control generation module is used to match the temperature control area corresponding to each load based on the cooling demand of each load, and at the same time combine the real-time inlet and outlet temperatures and water flow thresholds of each temperature control area to generate and execute the corresponding water source cooling control.

2. A multi-source coupled water source heat pump cooling control system according to claim 1, characterized in that: The generation of a set of candidate water sources through multi-dimensional water quality comparison includes: The turbidity of each water source is compared with the preset standard turbidity. If the turbidity of a water source is less than the preset standard turbidity, the turbidity deviation of the water source is recorded as 0. Otherwise, the difference between the turbidity of the water source and the standard turbidity is taken as the turbidity deviation, and the ratio of the turbidity deviation to the standard turbidity is taken as the turbidity deviation of the water source, thereby obtaining the turbidity deviation of each water source; The deviation of microbial content of each water source can be obtained by analyzing the deviation of turbidity of each water source in the same way; Compare the pH of each water source with a preset standard pH range to determine the pH deviation of each water source; The turbidity deviation, microbial content deviation and pH deviation of each water source are weighted and summed to obtain the total water quality deviation of each water source; The water sources whose total water quality deviation is less than the preset water quality deviation are selected to form a set of alternative water sources.

3. A multi-source coupled water source heat pump cooling control system according to claim 2, characterized in that: Determining the pH deviation of each water source includes: When the pH of the water source is within the preset standard pH range, the pH deviation is recorded as 0; When the pH of the water source is less than the preset lower limit of the standard pH range, the difference between the lower limit of the standard pH range and the pH of the water source is divided by the lower limit of the standard pH range to obtain the pH deviation; When the pH of the water source is greater than the preset upper limit of the standard pH range, the difference between the water source pH and the upper limit of the standard pH range is divided by the upper limit of the standard pH range to obtain the pH deviation, and then the pH deviation of each water source is obtained.

4. A multi-source coupling water source heat pump cooling control system according to claim 2, characterized in that: The weighted calculation of the mixed water ratio includes: Extract the total water quality deviation of each candidate water source from the total water quality deviation of each water source; The water quality qualification of each alternative water source is taken as 1 minus the total water quality deviation of each alternative water source; Arrange the water quality qualifications in descending order to generate a water quality gradient sequence; Sort the real-time temperatures of the candidate water sources in ascending order to generate a temperature gradient sequence; If there is an alternative water source whose water quality gradient and temperature gradient are both ranked first, the mixed water ratio of the alternative water source is set to 1, and the mixed water ratios of the remaining alternative water sources are set to 0; If there is no alternative water source whose water quality gradient and temperature gradient are both ranked first, the temperature qualification of each alternative water source is calculated, and a weighted sum is performed according to the water quality qualification and temperature qualification of each alternative water source to obtain the qualification of each alternative water source, and the qualification is compared with the set qualification threshold, and the alternative water sources with a qualification greater than the set qualification threshold are selected as the mixed water sources; The qualified degrees of each mixed water source are summed up and calculated to obtain the total qualified degree, and then the ratio of the qualified degree of each mixed water source to the total qualified degree is used as the mixed water ratio of each mixed water source.

5. A multi-source coupled water source heat pump cooling control system according to claim 1, characterized in that: The mixed water source water quality determination comprises: Extracting the turbidity, pH value and microbial content of the mixed water source from the water quality parameters of the mixed water source, taking the difference between the turbidity of the mixed water source and the standard turbidity as the turbidity difference of the mixed water source, and matching the turbidity difference of the mixed water source with a preset turbidity difference interval to generate a filtering processing instruction; According to the analysis method of the filtration processing instruction, the disinfection processing instruction and the pH adjustment processing instruction are obtained in the same way; The filtration processing instruction, the disinfection processing instruction and the pH adjustment processing instruction are used as the water processing instructions.

6. A multi-source coupled water source heat pump cooling control system according to claim 1, characterized in that: The temperature control area corresponding to each load is matched, including: R1. Compare the load number with the number of temperature control zones. When the load number is less than or equal to the number of temperature control zones, calculate the matching degree of the load and the cooling demand of the temperature control zone, and allocate an independent temperature control zone to each load based on the principle of the highest cooling demand matching degree. R2. When the number of loads is greater than the number of temperature control zones, the loads are arranged in descending order according to the cooling demand to obtain an ordered load sequence, and the temperature control zones are matched by clustering groups to obtain the allocated temperature control zones for each load clustering group.

7. A multi-source coupling water source heat pump cooling control system according to claim 6, characterized in that: The analysis contents of each load distribution independent temperature control area include: Combine each load with each temperature control area to form matching combinations; Based on the cooling demand of each load and the real-time inlet and outlet temperatures of each temperature control area and the water flow threshold, the cooling demand matching degree of each matching combination is calculated; The matching combination with the highest degree of matching of cooling demand is selected, and it is gradually allocated until all loads are matched, so as to obtain independent temperature control areas corresponding to each load.

8. A multi-source coupling water source heat pump cooling control system according to claim 7, characterized in that: The matching of temperature control areas by clustering groups includes: Subtract adjacent loads in the ordered load sequence to generate a load difference sequence; Sort the load differences in the load difference sequence from large to small, and select a set number of load differences before sorting; Based on the gap position of the ordered load sequence corresponding to the load difference, the ordered load sequence is divided into load cluster groups; The cooling demand of each load cluster group is summed to obtain the total cooling demand of each load cluster group; The total cooling demand of each load cluster group is matched and compared with the cooling demand interval corresponding to each required water flow, and the required water flow of each load cluster group is obtained, and then the water flow matching degree and cooling demand matching degree of each load cluster group and each temperature control area are calculated respectively; The water flow matching degree and the cooling demand matching degree are summed and averaged to obtain the comprehensive matching degree between each load cluster group and each temperature control area, and then the temperature control area is allocated to each load cluster group according to the principle of the highest comprehensive matching degree to obtain the allocated temperature control area of ​​each load cluster group.

9. A multi-source coupled water source heat pump cooling control system according to claim 6, characterized in that: The generating and executing the corresponding water source cooling control comprises: Q1. When the number of loads is less than or equal to the number of temperature control zones, based on the independent temperature control zones corresponding to each load, the water flow valves and compressors of the temperature control zones without loads are controlled to be closed; Q2. The cooling demand of the corresponding load of each independent temperature control area is taken as the cooling demand of each independent temperature control area; Q3. Match and compare the cooling demand of each independent temperature control area with the cooling demand interval corresponding to each required water flow rate, obtain the required water flow rate of each independent temperature control area, and then control the water flow valve of each independent temperature control area to the opening corresponding to the required water flow rate; Q4. When the number of loads is greater than the number of temperature control areas, the temperature control areas are allocated based on the clustering groups of each load, and the required water consumption of each allocated temperature control area is matched. By comparing and analyzing the required water flow and water flow threshold of each allocated temperature control area, the water source cooling control of each allocated temperature control area is generated and executed.

10. A multi-source coupling water source heat pump cooling control system according to claim 9, characterized in that: The generating and executing the water source cooling control of each allocated temperature control area includes: If the required water flow rate corresponding to a certain allocated temperature control area is less than or equal to its water flow threshold, the water flow valve of the allocated temperature control area is controlled to an opening corresponding to the required water flow rate; If the required water flow corresponding to a certain allocated temperature control area is greater than the water flow threshold, the total cooling demand of the allocated temperature control area is matched and compared with the cooling demand corresponding to each temperature to obtain the required temperature of the allocated temperature control area; Calculate the difference between the outlet real-time temperature of the allocated temperature control area and the required temperature to obtain the required temperature difference of the allocated temperature control area; The required temperature difference and the water flow threshold of the allocated temperature control area are multiplied to obtain the required cooling capacity of the allocated temperature control area, and the water flow valve of the allocated temperature control area is controlled to the opening corresponding to the water flow threshold and the compressor speed is controlled to the speed corresponding to the required cooling capacity.

Images