Multi-source coupled water source heat pump cooling control system

Abstract

The application belongs to the technical field of heat pump cooling control, and specifically discloses a multi-source coupled water source heat pump cooling control system, which comprises a water source set screening module, a mixed water source acquisition module, a water treatment instruction generation module, a temperature control region division module and a cooling control generation module; the application generates an alternative water source set through multi-dimensional water quality comparison, dynamically adjusts the mixed water proportion in combination with a real-time temperature gradient and a normalized weighting algorithm, realizes multi-source complementation and energy efficiency optimization of the water source, realizes collaborative optimization of water quality and temperature, generates filtering, disinfection and pH adjustment instructions through real-time monitoring of the mixed water source water quality parameters, ensures the stability of the mixed water source and the safety of the equipment, and further divides temperature control regions and generates precise control instructions of water flow and compressor rotating speed through clustering grouping and matching degree analysis strategies according to the load quantity and refrigeration demand, so as to improve the refrigeration efficiency and system reliability.

Description

TECHNICAL FIELD

[0001] The application 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

[0002] The multi-source coupled water source heat pump is a high-efficiency energy-saving system integrating multiple natural or renewable water sources (such as underground water, surface water, air, industrial wastewater, etc.) as cold and heat sources. The 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 of single water source affected by environmental fluctuations. However, the existing technology still has significant deficiencies in multi-source mixing regulation, water quality adaptability, and load matching, which are specifically manifested as follows:

[0003] The existing technology mainly relies on simple water source switching or double-source coupling without multi-dimensional detection and analysis of the water source itself. For example, the Chinese invention patent with publication number CN222480821U discloses a double-source coupled heat pump system, which forms different circulating pipelines through electromagnetic valve control to realize single or double-source operation mode switching. However, the technical solution has essential defects: 1. Although such a system can select a heat pump with higher energy efficiency, it cannot realize intelligent mixing and dynamic proportional adjustment of multiple water sources, which limits the further improvement of the overall energy efficiency of the system.

[0004] 2. The real-time monitoring and processing of water quality parameters are not combined. When the water quality of the water source fluctuates, the system is prone to scaling, corrosion, or microbial growth problems, which seriously affect the equipment life and operation reliability. In addition, the water quality may deteriorate after mixing when multiple water sources are mixed, but the existing technology lacks filtering, disinfection, and pH adjustment mechanisms for mixed water sources, making it difficult to cope with complex water quality scenarios. SUMMARY

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

[0006] The purpose of the application can be achieved by the following technical solutions: The application provides a multi-source coupled water source heat pump cooling control system, which comprises: a water source set screening module for obtaining the turbidity, pH value, microbial content and real-time temperature of each water source, and generating a candidate water source set through multi-dimensional water quality comparison.

[0007] A mixed water source acquisition module is used to generate a temperature gradient according to the real-time temperature of each candidate water source in the candidate water source set, calculate the mixed water proportion by weighting, and control the water source valve to output the mixed water source.

[0008] The water treatment instruction generation module is configured to acquire water quality parameters of the mixed water source, perform mixed water source water quality judgment, and generate water treatment instructions.

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

[0010] The cooling control generation module is configured to match temperature control areas corresponding to each load based on the refrigeration requirements of the loads, and generate and execute corresponding water source cooling controls in combination with the inlet and outlet real-time temperatures and water flow thresholds of the temperature control areas.

[0011] Compared with the prior art, the present application has the following advantages: (1) The present application generates a set of alternative water sources through multi-dimensional water quality comparison, dynamically adjusts the mixed water ratio in combination with real-time temperature gradients and a weighting algorithm, realizes multi-source complementation and energy efficiency optimization of the water source, realizes collaborative optimization of water quality and temperature, reduces the risk of subsequent equipment scaling or corrosion, and thus improves the reliability of long-term operation of the system.

[0012] (2) The present application generates filtration, 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 thus improves the reliability of responding to complex water quality scenarios.

[0013] (3) The present application divides temperature control areas and generates precise control of water flow and compressor speed by using clustering grouping and matching degree analysis strategies according to the number of loads and refrigeration requirements, which improves the refrigeration efficiency and system reliability.

[0014] (4) The present application dynamically adjusts the water flow valve opening degree and the compressor speed through threshold value judgment, breaks through the simple control of relying only on water flow valve switching, realizes parameter collaborative optimization under complex working conditions, and ensures efficient operation of the system within a safety threshold by calculating the required refrigeration capacity, thereby improving the energy efficiency ratio of the system and reducing the operating energy consumption when multiple sources are complemented. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0016] Figure 1 It is a connection diagram of modules of the system of the present application.

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

[0018] Figure 3 The water source cooling control generation step connection diagram of the present application is shown in the figure. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0020] Please refer to Figure 1 The present application provides a multi-source coupled water source heat pump cooling control system, which comprises 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] In the above, the mixed water source acquisition module is connected with the water source set screening module and the water treatment instruction generation module respectively, and the temperature control area division module is further connected with the water treatment instruction generation module and the cooling control generation module respectively.

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

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

[0024] It should be noted that the turbidity, pH value and microbial content are selected for water quality analysis in the water source heat pump system, mainly based on the following reasons: high turbidity is easy to cause fouling and pipeline blockage, which directly reduces the heat exchange efficiency and causes equipment failure, the pH value deviating from the standard range will cause the acidic environment to accelerate metal corrosion, or the alkaline environment to cause fouling, at the same time, excessive reproduction of microorganisms forms a biofilm, which aggravates electrochemical corrosion and deteriorates water quality.

[0025] Exemplarily, the candidate water source set is generated through multi-dimensional water quality comparison, which comprises: comparing the turbidity of each water source with the preset standard turbidity, if the turbidity of a certain water source is less than the preset standard turbidity, the turbidity deviation degree of the water source is recorded as 0, otherwise, the difference between the turbidity 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 degree, and then the turbidity deviation degree of each water source is obtained.

[0026] The analysis mode of the turbidity deviation degree of each water source is the same as the analysis mode of the microbial content deviation degree of each water source.

[0027] The pH of each water source is compared with the preset standard pH range to determine the pH deviation of each water source.

[0028] Further, the determination of the pH deviation of each water source comprises: when the pH of the water source is within the preset standard pH range, the pH deviation is recorded as 0.

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

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

[0031] The turbidity deviation, the microbial content deviation and the pH deviation of each water source are weighted and summed to obtain the total water quality deviation of each water source.

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

[0033] The implementation steps and calculation are as follows: (1) water source E parameters: turbidity is 4 NTU (lower than the standard), so the turbidity deviation is 0, microbial content is 120 CFU / mL (20 over standard), so the microbial deviation is (120-100) / 100=0.2, pH value is 7.0 (within the standard range), pH deviation is 0, so the total water quality deviation is .

[0034] It should be noted that the reasons for turbidity deviation degree accounting for 0.4, microbial deviation degree accounting for 0.35, and pH deviation degree accounting for 0.25 are as follows: the reason for the weight of 0.4 of the turbidity deviation degree is that turbidity is an index for measuring the content of suspended particles in water, and high turbidity of water source is easy to cause fouling on the surface of heat exchange equipment such as condensers and evaporators, reduce the heat transfer efficiency, and even cause pipeline blockage, and therefore the highest weight is given to turbidity. The reason for the weight of 0.35 of the microbial deviation degree is that excessive reproduction of microorganisms (such as bacteria and algae) can form a biofilm, accelerate the electrochemical corrosion of metal pipelines, and reduce the stability of water quality, and therefore the second highest weight is given to the microbial content. The reason for the weight of 0.25 of the pH deviation degree is that pH value affects the solubility and corrosiveness of dissolved salts in water, and excessive high or low pH value can accelerate the corrosion of equipment (such as corrosion of steel in acidic environment and calcium carbonate fouling in alkaline environment), although pH value also has an important influence on equipment corrosion and water quality, but compared with turbidity and microbial content, its influence is relatively indirect and slow, and therefore the lowest weight is given to the pH value.

[0035] The total water quality deviation degree of each water source is screened to be less than the preset water quality deviation degree, and a set of candidate water sources is formed.

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

[0037] Table 1: Water source parameter table

[0038]

[0039] The preset water quality deviation degree is 0.3, then water source 1 is excluded because the total water quality deviation degree exceeds the standard, and water source 2 and water source 3 are included in the set of candidate water sources.

[0040] The mixed water source acquisition module is configured to generate a temperature gradient according to the real-time temperature of each candidate water source in the set of candidate water sources, calculate the mixing water ratio by weighting, and control the water source valve to output the mixed water source.

[0041] For example, the calculation of the mixing water ratio by weighting includes extracting the total water quality deviation degree of each candidate water source from the total water quality deviation degree of each water source.

[0042] The water quality qualification degree of each candidate water source is the total water quality deviation degree of the candidate water source minus 1.

[0043] The water quality qualification degrees are arranged in descending order to generate a water quality gradient sequence.

[0044] The real-time temperatures of each candidate water source are sorted in ascending order to generate a temperature gradient sequence.

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

[0046] If the water quality gradient and the temperature gradient of a certain alternative water source are not both ranked first, the temperature qualification degree of each alternative water source is calculated, and the qualification degrees of each alternative water source are obtained by weighted summation according to the water quality qualification degree and the temperature qualification degree, and compared with the set qualification threshold to screen the alternative water sources with qualification degrees greater than the set qualification threshold as the mixed water sources.

[0047] It should be noted that the calculation of the temperature qualification degree is to match and compare the real-time temperature with the temperature interval corresponding to each temperature qualification degree to obtain the temperature qualification degree corresponding to the real-time temperature.

[0048] The qualification degrees of each mixed water source are summed to obtain the total qualification degree, and the ratio of the qualification degree of each mixed water source to the total qualification degree is taken as the mixing water ratio of each mixed water source.

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

[0050] Table 2: Water quality parameter table of each alternative water source

[0051]

[0052] The qualification degree of the alternative water source is calculated: the weights of the water quality qualification degree and the temperature qualification degree are set to , The ratio is verified by gradient descent optimization experiment through historical data set of the water source heat pump cooling control system. Water quality deviation directly affects equipment scaling and corrosion. Suitable temperature improves energy efficiency (e.g. low temperature water source is preferred for refrigeration). Temperature mismatch can be compensated by adjusting the compressor speed or water flow, while water quality problems cannot be solved by simple adjustment, so .

[0053] Qualification degree: , , .

[0054] Mixing water selection: if the set qualification threshold is 0.6, the alternative water source A and the alternative water source B are selected, and the mixing water ratio is: , .

[0055] The embodiment of the present application generates a set of alternative water sources through multi-dimensional water quality comparison, dynamically adjusts the water mixing ratio by combining the real-time temperature gradient and the weighting algorithm, realizes the multi-source complementation 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 thereby improves the reliability of long-term operation of the system.

[0056] The water treatment instruction generation module is configured to acquire water quality parameters of the mixed water source, perform mixed water source water quality judgment, and generate water treatment instructions.

[0057] For example, the mixed water source water quality judgment includes extracting 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 noted that the extraction method of turbidity, pH value and microbial content of the mixed water source is consistent with the turbidity, pH value and microbial content of the water source, which will not be repeated here.

[0059] The analysis method of the filtration treatment instruction is the same, and the disinfection treatment instruction and the pH adjustment treatment instruction are obtained by analysis.

[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 noted that each filtration treatment instruction, each disinfection treatment instruction and each pH adjustment treatment instruction of the water treatment instruction is shown in Table 3, Table 4 and Table 5.

[0062] Table 3: Filtration treatment instruction table

[0063]

[0064] Table 4: Disinfection treatment instruction table

[0065]

[0066] Table 5: pH adjustment treatment instruction table

[0067]

[0068] The embodiment of the present application generates filtration, 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 thereby improves the reliability of coping with complex water quality scenarios.

[0069] The temperature control region division module is configured to divide the water source heat pump cavity into temperature control regions, and collect the inlet and outlet real-time temperatures and water flow thresholds of each temperature control region.

[0070] It should be noted that the import and export real-time temperatures are collected by temperature sensors arranged at the import and export of the temperature control area, and the water flow threshold is determined when the water source heat pump cavity is divided.

[0071] The cooling control generation module is configured to match the temperature control area corresponding to each load based on the refrigeration demand of each load, and generate and execute the corresponding water source cooling control in combination with the import and export real-time temperature of each temperature control area and the water flow threshold.

[0072] Referring to Figure 2 Exemplarily, the matching of the temperature control area corresponding to each load includes: R1, comparing 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, calculating the refrigeration demand matching degree of the load and the temperature control area, and distributing independent temperature control areas for each load according to the principle of the highest refrigeration demand matching degree.

[0073] Further, the analysis content of the distribution of independent temperature control areas for each load includes: R1-1, combining each load with each temperature control area to form each matching combination.

[0074] R1-2, calculating the refrigeration demand matching degree of each matching combination based on the refrigeration demand of each load, the import and export real-time temperature of each temperature control area, and the water flow threshold.

[0075] It should be noted 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, wherein is the required temperature difference, Q is the refrigeration demand of the load, V is the water flow threshold, 3.6 is a unit conversion coefficient (convert kW to kJ / h, because 1 kW=3600 kJ / h), and 4.186 is the specific heat capacity of water (unit: kJ / (kg·℃)).

[0076] calculate the refrigeration demand matching degree through the formula , wherein is the refrigeration demand matching degree, is the import and export temperature difference of the temperature control area, is the maximum allowable temperature difference set as a reference.

[0077] R1-3, select the matching combination with the highest refrigeration demand matching degree, and gradually distribute until all loads are matched, thereby obtaining the independent temperature control area corresponding to each load.

[0078] In one embodiment, the cooling requirements of each load are: Load A = 15 kW, Load B = 10 kW, Load C = 8 kW, and the real-time temperatures at the inlet and outlet of the temperature control area are: 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, and the water flow threshold of the temperature control area is 30 m³ / h, and the maximum allowable temperature difference set as the reference is 10°C.

[0079] (1) The required temperature difference of each temperature control area is calculated by the formula .

[0080] (2) The temperature difference at the inlet and outlet of each temperature control area is calculated, and for Temperature control area X: ℃, for Temperature control area Y: ℃, and for Temperature control area Z: ℃.

[0081] (3) The cooling requirement matching degree is calculated by the formula , and the cooling requirement matching degree of matching combination 1 (Load A + Temperature control area X) is 0.343, the cooling requirement matching degree of matching combination 2 (Load A + Temperature control area Y) is 0.443, the cooling requirement matching degree of matching combination 3 (Load A + Temperature control area Z) is 0.543, the cooling requirement matching degree of matching combination 4 (Load B + Temperature control area X) is 0.329, the cooling requirement matching degree of matching combination 5 (Load B + Temperature control area Y) is 0.43, the cooling requirement matching degree of matching combination 6 (Load B + Temperature control area Z) is 0.529, the cooling requirement matching degree of matching combination 7 (Load C + Temperature control area X) is 0.323, the cooling requirement matching degree of matching combination 8 (Load C + Temperature control area Y) is 0.429, and the cooling requirement matching degree of matching combination 9 (Load C + Temperature control area Z) is 0.523.

[0082] (4) First round of matching: the highest matching degree combination matching combination 3 is selected.

[0083] (5) Second round of matching: the matched load and temperature control area are deleted, and the highest matching degree combination matching combination 5 is selected from the remaining matching combinations.

[0084] (6) Third round of matching: the matched load and temperature control area are deleted, and matching combination 7 is obtained.

[0085] (7) Final matching result: Load A → Temperature control area Z (0.543), Load B → Temperature control area Y (0.43), and Load C → Temperature control area X (0.323).​​​​

[0086] The load A (15kW) with the highest refrigeration requirement is allocated to the temperature control area Z (18℃) with the lowest temperature to avoid excessive refrigeration and waste of energy, and the load C (8kW) with the lowest requirement is matched with the temperature control area X (25℃) with the highest temperature to avoid that the small load occupies the temperature control area with the low temperature. Through the matching quantification and the step-by-step screening, the optimal dynamic matching of the load and the temperature control area is realized.

[0087] R2, when the number of loads is greater than the number of temperature control areas, the loads are arranged in descending order of refrigeration requirement to obtain an ordered load sequence, and the temperature control areas are matched through clustering grouping to obtain the allocated temperature control areas of each load clustering group.

[0088] Further, the matching of the temperature control areas through the clustering grouping comprises: R2-1, the adjacent loads in the ordered load sequence are subtracted to generate a load difference sequence.

[0089] R2-2, the load differences in the load difference sequence are sorted from large to small, and the load differences in the front of the set number are selected.

[0090] It should be noted that the set number is the number of temperature control areas minus 1.

[0091] R2-3, based on the gap positions of the ordered load sequence corresponding to the load differences, the ordered load sequence is divided into each load clustering group.

[0092] In one 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:

[0093] 1. Generate the load difference sequence: calculate the difference value of the adjacent loads: 21-19=2 (corresponding to the gap position: 21→19), 19-14=5 (corresponding to the gap position: 19→14), 14-13=1 (corresponding to the gap position: 14→13), 13-10=3 (corresponding to the gap position: 13→10), then the load difference sequence is .

[0094] 2. Select the gap position of the ordered load sequence: sort the load differences from large to small: [5, 3, 2, 1] (corresponding to the gap positions of the ordered load sequence as 19→14, 13→10, 21→19, 14→13).

[0095] 3. Select the load differences in the front of M-1=2: 5 and 3, corresponding to the gap positions of the ordered load sequence: the difference value 5 corresponds to the gap 19→14, and the difference value 3 corresponds to the gap 13→10.

[0096] 4. Divide the ordered load sequence into each load clustering group: [21, 19], [14, 13],

[10] .

[0097] R2-4, summing up the refrigeration demands of each load clustering group to obtain the total refrigeration demand of each load clustering group.

[0098] R2-5, matching and comparing the total refrigeration demand of each load clustering group with the refrigeration demand interval corresponding to each demand water flow to obtain the demand water flow of each load clustering group, and then calculating the water flow matching degree and the refrigeration demand matching degree of each load clustering group and each temperature control area respectively.

[0099] It should be noted that the formula of the water flow matching degree is , wherein is the water flow matching degree, and are the demand water flow and the water flow threshold value respectively.

[0100] R2-6, summing up and averaging the water flow 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 assigning the temperature control area to each load clustering group according to the principle of the highest comprehensive matching degree to obtain the assigned temperature control area of each load clustering group.

[0101] In one specific embodiment, the scene setting is: the number of loads: 5 (loads D, E, F, G, H), the number of temperature control areas: 3 (temperature control areas 6-8), the refrigeration demands of the loads are respectively: load D (20kW), load E (25kW), load F (18kW), load G (30kW), and load H (22kW), the water flow threshold value and the import and export real-time temperature of the temperature control area are respectively: temperature control area 6 (30m³ / h, 23℃, 16℃), temperature control area 7 (25m³ / h, 22℃, 14℃), and temperature control area 8 (20m³ / h, 21℃, 25℃), and the real-time temperature of the temperature control area is 23℃, and the relationship table of the demand water flow and the refrigeration demand interval is shown in Table 6.

[0102] Table 6: Relationship table of demand water flow and refrigeration demand interval

[0103]

[0104] The allocation steps of the load clustering group and the temperature control area include: (1) dividing the loads into load clustering groups: load clustering group 1 [load D, F, H], load clustering group 2 [load E], and load clustering group 3 [load G].

[0105] (2) calculating the total refrigeration demand of each load clustering group: the total refrigeration demand of load clustering group 1 is 20+18+22=60kW, the total refrigeration demand of load clustering group 2 is 25kW, and the total refrigeration demand of load clustering group 3 is 30kW.

[0106] (3) Based on the relationship table of the demand water flow and the refrigeration demand interval, the demand water flow of the load clustering group is matched, the demand water flow of the load clustering group 1 is 35 m³ / h, the demand water flow of the load clustering group 2 is 20 m³ / h, and the demand water flow of the load clustering group 3 is 20 m³ / h.

[0107] (4) The comprehensive matching degree of each load clustering group and each temperature control area is calculated, the comprehensive matching degree of the load clustering group 1 and the temperature control area 6 is 0.65, the comprehensive matching degree of the load clustering group 1 and the temperature control area 7 is 0.51, the comprehensive matching degree of the load clustering group 1 and the temperature control area 8 is 0.55, the comprehensive matching degree of the load clustering group 2 and the temperature control area 6 is 0.52, the comprehensive matching degree of the load clustering group 2 and the temperature control area 7 is 0.55, the comprehensive matching degree of the load clustering group 2 and the temperature control area 8 is 0.85, the comprehensive matching degree of the load clustering group 3 and the temperature control area 6 is 0.53, the comprehensive matching degree of the load clustering group 3 and the temperature control area 7 is 0.86, and the comprehensive matching degree of the load clustering group 3 and the temperature control area 8 is 0.77.

[0108] (5) The temperature control area is distributed according to the principle of the highest comprehensive matching degree, the load clustering group 1 is distributed to the temperature control area 6, the load clustering group 2 is distributed to the temperature control area 8, and the load clustering group 3 is distributed to the temperature control area 7.

[0109] According to the number of loads and the refrigeration demand, the clustering grouping and the matching degree analysis strategy are adopted to divide the temperature control area and generate the precise control of the water flow and the compressor speed, so that the refrigeration efficiency and the system reliability are improved.

[0110] Please refer to Figure 3 As shown in the figure, the corresponding water source cooling control is generated and executed, including: Q1, when the number of loads is less than or equal to the number of temperature control areas, the unallocated temperature control area of the load is controlled to close the water flow valve and close the compressor based on the independent temperature control area corresponding to each load.

[0111] Q2, the refrigeration demand of each independent temperature control area corresponding load is taken as the refrigeration demand of each independent temperature control area.

[0112] Q3, the refrigeration demand of each independent temperature control area is matched and compared with the refrigeration demand interval corresponding to each demand water flow, so as to obtain the demand water flow of each independent temperature control area, and then the control water flow valve of each independent temperature control area is executed to the opening degree corresponding to the demand water flow.

[0113] Q4, when the number of loads is greater than the number of temperature control areas, the demand water flow of each allocated temperature control area is matched based on the allocated temperature control area of each load clustering group, and the water source cooling control of each allocated temperature control area is generated and executed by comparing and analyzing the demand water flow and the water flow threshold value of each allocated temperature control area.

[0114] Further, the generating and executing the water source cooling control of each distribution temperature control area comprises: Q4-1, if the required water flow of a certain distribution temperature control area is less than or equal to the water flow threshold value corresponding to the distribution temperature control area, the control water flow valve to the opening corresponding to the required water flow is executed on the distribution temperature control area.

[0115] Q4-2, if the required water flow of a certain distribution temperature control area is greater than the water flow threshold value, the total refrigeration requirement of the distribution temperature control area is matched and compared with the refrigeration requirement corresponding to each temperature to obtain the required temperature of the distribution temperature control area.

[0116] Q4-3, the outlet real-time temperature of the distribution temperature control area is subtracted from the required temperature to obtain the required temperature difference of the distribution temperature control area.

[0117] Q4-4, the required temperature difference of the distribution temperature control area and the water flow threshold value are multiplied to obtain the required refrigeration amount of the distribution temperature control area, and the control water flow valve to the opening corresponding to the water flow threshold value and the control compressor speed to the speed corresponding to the required refrigeration amount are executed on the distribution temperature control area. Wherein, , wherein is the required refrigeration amount, is the specific heat capacity of water, kJ / (kg·℃), is the water flow threshold value, is the required temperature difference.

[0118] The embodiment of the application adjusts the water flow valve opening and the compressor speed by threshold value, breaks through the simple control of only relying on the water flow valve switching, realizes the parameter collaborative optimization under complex working conditions, and ensures the efficient operation of the system within the safety threshold by calculating the required refrigeration amount, thereby improving the energy efficiency ratio of the system, and reducing the operation energy consumption when the multiple sources are complementary.

[0119] The above is only an example and description of the concept of the application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as the concept of the application is not deviated or the scope defined by the application is exceeded, which should belong to the protection scope of the application.

Claims

1. A multi-source coupled water source heat pump cooling control system, characterized in that: The system comprises: The water source set screening module is used for acquiring the turbidity, pH value, microbial content and real-time temperature of each water source, generating a candidate water source set through multi-dimensional water quality comparison; The mixed water source acquisition module is used for generating a temperature gradient according to the real-time temperature of each candidate water source in the candidate water source set, calculating the mixed water proportion through weighted calculation, and regulating and controlling the water source valve to output the mixed water source; The water treatment instruction generation module is used for acquiring the water quality parameters of the mixed water source, performing mixed water source water quality judgment, and generating a water treatment instruction; The temperature control area division module is used for dividing the water source heat pump cavity into each temperature control area, and collecting the inlet and outlet real-time temperatures and water flow threshold values of each temperature control area; The cooling control generation module is used for matching the temperature control area corresponding to each load based on the refrigeration demand of each load, and generating and executing the corresponding water source cooling control in combination with the inlet and outlet real-time temperatures and water flow threshold values of each temperature control area; The candidate water source set is generated through multi-dimensional water quality comparison, which comprises: comparing the turbidity of each water source with a 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, and then the turbidity deviation of each water source is obtained; the microbial content deviation of each water source is obtained in the same way according to the analysis mode of the turbidity deviation of each water source; the pH of each water source is compared 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; each water source with a total water quality deviation less than a preset water quality deviation is selected to form a candidate water source set; The mixed water proportion is calculated through weighted calculation, which comprises: extracting the total water quality deviation of each candidate water source from the total water quality deviation of each water source; taking 1 minus the total water quality deviation of each candidate water source as the water quality qualification degree of each candidate water source; arranging the water quality qualification degrees in descending order to generate a water quality gradient sequence; sorting the real-time temperatures of each candidate water source in ascending order to generate a temperature gradient sequence; if the water quality gradient and the temperature gradient of a certain candidate water source are both ranked first, the mixed water proportion of the candidate water source is set to 1, and the mixed water proportions of the remaining candidate water sources are 0; if there is no certain candidate water source whose water quality gradient and temperature gradient are both ranked first, the temperature qualification degree of each candidate water source is calculated, and the weighted sum of the water quality qualification degree and the temperature qualification degree of each candidate water source is calculated to obtain the qualification degree of each candidate water source, and the qualification degree is compared with a set qualification threshold to select each candidate water source with a qualification degree greater than the set qualification threshold as each mixed water source; the qualification degrees of each mixed water source are summed to obtain a total qualification degree, and then the ratio of the qualification degree of each mixed water source to the total qualification degree is taken as the mixed water proportion of each mixed water source.

2. The multi-source coupled water source heat pump cooling control system according to claim 1, wherein: The pH deviation of each water source is determined, which comprises: 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 degree; When the pH of the water source is greater than the preset upper limit of the standard pH range, the difference between the pH of the water source 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 degree, and then the pH deviation degrees of the water sources are obtained.

3. The multi-source coupled water source heat pump cooling control system of claim 1, wherein: The mixed water source water quality judgment includes: The turbidity, pH value and microbial content of the mixed water source are extracted from the water quality parameters of the mixed water source, the difference between the turbidity of the mixed water source and the standard turbidity is taken as the turbidity difference of the mixed water source, and the turbidity difference of the mixed water source is matched with the preset turbidity difference interval to generate a filtration processing instruction; The analysis mode of the filtration processing instruction is analyzed to obtain a disinfection processing instruction and a pH adjustment processing instruction; The filtration processing instruction, the disinfection processing instruction and the pH adjustment processing instruction are taken as the water treatment instruction.

4. The multi-source coupled water source heat pump cooling control system of claim 1, wherein: The matching of the temperature control area corresponding to each load includes: R1, the number of loads is compared with the number of temperature control areas, when the number of loads is less than or equal to the number of temperature control areas, the cooling demand matching degree of the load and the temperature control area is calculated, and each load is allocated an independent temperature control area according to the principle of the highest cooling demand matching degree; R2, when the number of loads is greater than the number of temperature control areas, the loads are arranged in descending order of cooling demand to obtain an ordered load sequence, and the temperature control area is matched by clustering grouping to obtain the allocation temperature control area of each load clustering group.

5. The multi-source coupled water source heat pump cooling control system of claim 4, wherein: The analysis content of the independent temperature control area allocated to each load includes: Each load is combined with each temperature control area to form each matching combination; Based on the cooling demand of each load and the real-time temperature of each temperature control area inlet and outlet and the water flow threshold value, the cooling demand matching degree of each matching combination is calculated; The matching combination with the highest cooling demand matching degree is selected, and the matching is allocated step by step until all loads are matched, and then the independent temperature control area corresponding to each load is obtained.

6. The multi-source coupled water source heat pump cooling control system of claim 5, wherein: The matching of the temperature control area by clustering grouping includes: The adjacent loads in the ordered load sequence are subtracted to generate a load difference sequence; The load differences in the load difference sequence are sorted from large to small, and a certain number of load differences are selected in the order; Based on the gap position of the load difference corresponding to the ordered load sequence, the ordered load sequence is divided into each load clustering group; The cooling demand of each load clustering group is summed to obtain the total cooling demand of each load clustering group; The total cooling demand of each load clustering group is matched and compared with the cooling demand interval corresponding to each demand water flow to obtain the demand water flow of each load clustering group, and then the water flow matching degree and the cooling demand matching degree of each load clustering 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 of each load clustering group and each temperature control area, and then the temperature control area is allocated to each load clustering group according to the principle of the highest comprehensive matching degree to obtain the allocation temperature control area of each load clustering group.

7. The multi-source coupled water source heat pump cooling control system of claim 4, wherein: The generation and execution of the corresponding water source cooling control include: Q1, when the number of loads is less than or equal to the number of temperature control regions, based on the independent temperature control region corresponding to each load, the control water valve is closed and the compressor is closed for the temperature control region of the unallocated load; Q2, the cooling demand of each load corresponding to the independent temperature control region is taken as the cooling demand of each independent temperature control region; Q3, the cooling demand of each independent temperature control region is matched and compared with the cooling demand interval corresponding to each demand water flow, to obtain the demand water flow of each independent temperature control region, and then the control water valve is executed to the opening degree corresponding to the demand water flow for each independent temperature control region; Q4, when the number of loads is greater than the number of temperature control regions, based on the allocation of temperature control region of each load clustering grouping, the demand water flow of each allocation temperature control region is matched, and by comparing and analyzing the demand water flow of each allocation temperature control region and the water flow threshold, the water source cooling control of each allocation temperature control region is generated and executed.

8. The multi-source coupled water source heat pump cooling control system of claim 7, wherein: The generation and execution of water source cooling control of each allocation temperature control region includes: If the demand water flow corresponding to a certain allocation temperature control region is less than or equal to the water flow threshold, the control water valve is executed to the opening degree corresponding to the demand water flow for the allocation temperature control region; If the demand water flow corresponding to a certain allocation temperature control region is greater than the water flow threshold, the total cooling demand of the allocation temperature control region is matched and compared with the cooling demand corresponding to each temperature to obtain the demand temperature of the allocation temperature control region; The outlet real-time temperature of the allocation temperature control region is calculated by difference with the demand temperature to obtain the demand temperature difference of the allocation temperature control region; The demand cooling capacity of the allocation temperature control region is obtained by multiplying the demand temperature difference of the allocation temperature control region and the water flow threshold, and the control water valve is executed to the opening degree corresponding to the water flow threshold and the control compressor speed is executed to the speed corresponding to the demand cooling capacity for the allocation temperature control region.

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