Water scale detection method and experimental system for water scale detection
By simulating the scale of water in the heating system pipeline, using sensors and flow control to obtain scale data, and combining deep learning algorithm generation control strategies, the problem of difficulty in obtaining scale data in the heating system is solved, and effective control of the heating system and reduction of scale speed is achieved.
Patent Information
- Application Number
- CN202510132724.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-06
- Publication Date
- 2025-07-08
AI Technical Summary
In the prior art, it is difficult to obtain scale data in heating systems, and it is difficult to calculate the evaluation of heat exchange performance.
By simulating the scale of water in the heating system pipeline, using sensors and flow control to obtain scale data, combined with deep learning algorithm analysis, the control strategy of the heating system is generated to reduce the scale rate of water quality.
It realizes the acquisition of large amounts of scaling data and the effective control of the heating system, reducing the scaling speed of water quality.
Smart Images

Figure CN120275596A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a scale detection method and an experimental system for scale detection. Background Art
[0002] A heating system is a technology that artificially supplies heat to a room to maintain a certain temperature indoors to create a suitable living or working condition.
[0003] Scale will form in the pipelines of a heating pipe network, which will affect the heating system. Calcium and magnesium ions in water are the key factors causing scale formation. When the water hardness is high, that is, the content of calcium and magnesium ions in water is relatively large, these ions will gradually deposit on the inner wall of the water pipe. There are many reasons affecting water pipe scaling, such as water flow, water pressure, and temperature, etc., all of which can affect the formation of scale.
[0004] Currently, it is difficult to calculate the influence of scale on heat transfer performance, mainly because it is difficult to obtain data. Summary of the Invention
[0005] The technical problem to be solved by the present invention is to overcome the defect of the difficulty in obtaining pipeline scale data in the prior art, and provide a scale detection method and an experimental system for scale detection that can simulate water body scaling in a pipeline, obtain a large amount of scale data through the control of sensors and flow rate, facilitate data measurement, and use the measurement results to obtain the control quantity of a heating system and reduce the scale formation speed of water quality.
[0006] The present invention solves the above technical problem through the following technical solutions:
[0007] A scale detection method, characterized in that the scale detection method is realized by using an experimental system, and the experimental system includes an air source heat pump, at least two plate heat exchangers, radiators with the same number as the plate heat exchangers, a control cabinet, a primary network water circuit, and a secondary network water circuit;
[0008] The primary network water circuit includes primary network branches with the same number as the plate heat exchangers. All the primary network branches are connected to the air source heat pump, and all the primary network branches are correspondingly connected to the primary side of the plate heat exchangers;
[0009] The secondary network water circuit includes secondary network branches with the same number as the plate heat exchangers. All the secondary network branches are correspondingly connected to the secondary side of the plate heat exchangers, and all the secondary network branches are correspondingly connected to a radiator;
[0010] A water quality sampling port is provided on the water supply pipeline of each secondary network branch, and a ball valve is provided at the position of the water quality sampling port;
[0011] The scale detection method includes:
[0012] The control cabinet transmits control signals to the control valves on the water circuit of the primary network side and the water circuit of the secondary network side according to a preset strategy;
[0013] Record the sensor signals of the sensors on the water circuit of the primary network side and the water circuit of the secondary network side;
[0014] The control cabinet generates sampling information for each water quality sampling port according to the preset strategy and the sensor signals.
[0015] Preferably, the scale detection method includes:
[0016] Obtain a target water sample using the water quality sampling port;
[0017] Obtain the scale amount of the target water sample;
[0018] Obtain the scaling rate according to the sampling information and the scale amount of the target water sample.
[0019] Preferably, the number of the plate heat exchangers is two. The preset strategy for the water circuits on both sides of the first plate heat exchanger is the heating system simulation strategy, and the preset strategy for the water circuits on both sides of the second plate heat exchanger is the control strategy. The scale detection method includes:
[0020] Input the water flow rate, hot water supply temperature, water pressure, and temperature change amount of the heating system into deepseek to generate a control script for the heating system simulation strategy;
[0021] The control cabinet runs the control script of the heating system simulation strategy on the water circuits on both sides of the first plate heat exchanger.
[0022] Preferably, the scale detection method includes:
[0023] Obtain the water sample of the water quality sampling port of the secondary network branch of the first plate heat exchanger, and obtain the scaling rate corresponding to the first plate heat exchanger according to the water sample;
[0024] Plan the preset strategy of the second plate heat exchanger according to the scaling rate of the first plate heat exchanger;
[0025] Input the preset strategy into deepseek to generate a control script for the preset strategy;
[0026] The control cabinet runs the control script of the preset strategy on the water circuits on both sides of the second plate heat exchanger.
[0027] Preferably, the scale detection method includes:
[0028] Obtain a set of water samples of the water quality sampling port of the secondary network branch of the second plate heat exchanger that executes the preset strategy;
[0029] Obtain a set of scaling rates corresponding to the second plate heat exchanger according to the set of water samples;
[0030] Input the fouling rate set into DeepSeek for analysis and obtain the target control strategy, where the target control strategy includes the optimal values of water flow rate, water pressure, and temperature control for reducing the fouling rate obtained by DeepSeek analysis;
[0031] Input the target control strategy into DeepSeek to generate the control script of the target control strategy;
[0032] The control cabinet runs the control script of the target control strategy on the water circuits on both sides of the second plate heat exchanger.
[0033] Preferably, the scale detection method includes:
[0034] The control cabinet runs the control script of the target control strategy on the water circuits on both sides of the second plate heat exchanger;
[0035] The control cabinet obtains the water sample at the water quality sampling port of the secondary network side branch of the second plate heat exchanger;
[0036] Obtain the fouling rate of the water sample of the target control strategy and compare it with the theoretical optimal value;
[0037] Input the comparison result into DeepSeek for deep learning algorithm training.
[0038] Preferably, the experimental system includes a tap water inlet, the tap water inlet is connected to two tap water pipelines, and the tap water pipelines are respectively connected to the return water circuits of the secondary network side branches;
[0039] The experimental system includes fan coil units with the same number as the plate heat exchangers, the input end of each fan coil unit is connected to the water supply circuit of the secondary network side branch and the output end is connected to the return water circuit of the secondary network side branch;
[0040] The experimental system includes water tanks with the same number as the plate heat exchangers, and each water tank is arranged on the water supply circuit of the secondary network side branch;
[0041] The experimental system includes a water pump and a circulation pump, the water pump is arranged on the water outlet pipeline of the primary network side water circuit, the number of circulation pumps is the same as the number of plate heat exchangers, and each circulation pump is arranged on the return water circuit of the secondary network side branch;
[0042] The experimental system includes scale removal devices with the same number as the plate heat exchangers, and each scale removal device is arranged on the return water circuit of the secondary network side branch.
[0043] Preferably, the sensors include one or more of a pressure gauge, a thermometer, a water meter, a heat meter, a vortex flowmeter, and a float flowmeter, and the control valve is a solenoid valve;
[0044] The sensors include pressure gauges, thermometers, water meters, heat meters, vortex flow meters, and float flow meters.
[0045] On the inlet water path of the primary network side water circuit, a ball valve, a temperature transmitter, a pressure gauge, a filter, and a pressure gauge are successively provided. On the outlet water path of the primary network side water circuit, a pressure gauge, a ball valve, and a water pump are successively provided.
[0046] On the inlet water path of the primary network side branch, a ball valve, a pressure transmitter, and a thermometer are successively provided. On the outlet water path of the primary network side branch, a thermometer, a pressure transmitter, a temperature transmitter, an electric control valve, a vortex flow meter, and a float flow meter are successively provided.
[0047] On the water supply path of the secondary network side branch, a thermometer, a pressure gauge, a pressure transmitter, a temperature transmitter, a coupon device, a ball valve, a float flow meter, a vortex flow meter, a water intake, a reserved port, a heat meter, a temperature transmitter, and a stop valve are successively provided. On the water return path of the secondary network side branch, a stop valve, a coupon device, a temperature transmitter, a pressure gauge, a reserved port, a ball valve, a water tank, a ball valve, a tap water interface, a pressure gauge, a safety valve, a pressure transmitter, a coupon device, a circulation pump, a ball valve, a descaling device, a ball valve, a temperature transmitter, a pressure transmitter, a pressure gauge, and a thermometer are successively provided.
[0048] Preferably, a water supply interface of a fan coil unit is provided at the rear end of the stop valve on the water supply path of the secondary network side branch, and a water return interface of the fan coil unit is provided at the front end of the stop valve on the water return path of the secondary network side branch. A stop valve is provided between the water supply interface and the fan coil unit, and a stop valve and an electric control valve are provided between the water return interface and the fan coil unit.
[0049] The present invention also provides an experimental system for scale detection, which is characterized in that the experimental system for scale detection is used to implement the scale detection method as described above. On the basis of conforming to the common knowledge in the art, the above preferred conditions can be combined arbitrarily to obtain various preferred examples of the present invention.
[0050] The positive and progressive effects of the present invention are as follows:
[0051] The present invention can simulate the water body scaling in the pipeline, obtain a large amount of scaling data through the control of sensors and flow rates, form an experimental control group for convenient data measurement, and use the measurement results to obtain the control quantity of the heating system to reduce the water quality scaling speed. Description of the Drawings
[0052] Figure 1 It is a schematic structural diagram of the experimental system of Embodiment 1 of the present invention.
[0053] Figure 2 It is another schematic structural diagram of the experimental system of Embodiment 1 of the present invention.
[0054] Figure 3 Another structural schematic diagram of the experimental system according to Embodiment 1 of the present invention.
[0055] Figure 4 Schematic diagram of a control script example of the experimental system according to Embodiment 1 of the present invention.
[0056] Figure 5 Flow chart of the scale detection method according to Embodiment 1 of the present invention. Detailed implementation manners
[0057] The present invention will be further described below by way of embodiments, but the present invention is not limited to the scope of the described embodiments.
[0058] Embodiment
[0059] In this embodiment, the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present invention. In addition, the terms "first", "second", "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.
[0060] See Figures 1 to 3 , this embodiment provides an experimental system for scale detection. The system in this embodiment can obtain scale data, obtain a large amount of data by adjusting parameters such as flow rate and temperature, and further can obtain the relationship between the service performance of the heat exchanger and the scale. Through multiple groups of comparisons, information affecting the generation of scale can be obtained.
[0061] The experimental system includes an air source heat pump 31, two plate heat exchangers 32, radiators 33 with the same number as the plate heat exchangers 32, a control cabinet 34, a primary network water circuit 11, and a secondary network water circuit 21.
[0062] The primary network water circuit 11 includes primary network branches 111 with the same number as the plate heat exchangers 32. The primary network branches are all connected to the air source heat pump, and the primary network branches are all correspondingly connected to the primary side of the plate heat exchangers.
[0063] The secondary network water circuit 21 includes secondary network branches 211 with the same number as the plate heat exchangers 32. The secondary network branches are all correspondingly connected to the secondary side of the plate heat exchangers, and the secondary network branches are all correspondingly connected to a radiator 33.
[0064] A water quality sampling port is provided on the water supply water path of each secondary network branch, and a ball valve is provided at the position of the water quality sampling port.
[0065] The control cabinet receives the sensor signals of the sensors on the water circuit on the primary side and the water circuit on the secondary side, and the control cabinet transmits control signals to the control valves on the water circuit on the primary side and the water circuit on the secondary side.
[0066] The experimental system includes a tap water inlet 35, the tap water inlet is connected to two tap water pipelines, and the tap water pipelines are respectively connected to the return water circuits of the secondary side branches.
[0067] The experimental system includes fan coil units 36 with the same number as the plate heat exchangers. The input end of each fan coil unit is connected to the water supply circuit of the secondary side branch, and the output end is connected to the return water circuit of the secondary side branch.
[0068] The experimental system includes water tanks 37 with the same number as the plate heat exchangers, and each water tank 2111 is arranged on the water supply circuit of the secondary side branch 211.
[0069] The experimental system includes a water pump and a circulation pump. The water pump is arranged on the water outlet circuit of the primary side water circuit. The number of circulation pumps is the same as the number of plate heat exchangers, and each circulation pump 2112 is arranged on the return water circuit of the secondary side branch 211.
[0070] The experimental system includes scale removal devices 2113 with the same number as the plate heat exchangers, and each scale removal device is arranged on the return water circuit of the secondary side branch.
[0071] The sensors include one or more of a pressure gauge, a thermometer, a water meter, a heat meter, a vortex flowmeter, and a float flowmeter, and the control valves are solenoid valves.
[0072] The sensors include a pressure gauge, a thermometer, a water meter, a heat meter, a vortex flowmeter, and a float flowmeter.
[0073] On the water inlet circuit of the primary side water circuit 11, a ball valve 123, a temperature transmitter 112, a pressure gauge 113, a filter 114, and a pressure gauge 113 are sequentially arranged. On the water outlet circuit of the primary side water circuit, a pressure gauge 113, a ball valve 123, and a water pump 117 are sequentially arranged;
[0074] On the water inlet circuit of the primary side branch, a ball valve, a pressure transmitter 118, and a thermometer 119 are sequentially arranged. On the water outlet circuit of the primary side branch, a thermometer 119, a pressure transmitter 118, a temperature transmitter 112, an electric control valve 120, a vortex flowmeter 121, and a float flowmeter 122 are sequentially arranged;
[0075] In this embodiment, "sequentially" means sequentially arranged in the water flow direction. In the accompanying drawings of the specification, the water flow direction of the water supply circuit is from right to left, and the water flow direction of the return water circuit is from left to right.
[0076] On the water supply path of the secondary network branch 211, a thermometer 119, a pressure gauge 113, a pressure transmitter, a temperature transmitter, a coupon device 2114, a ball valve, a rotameter, a vortex flowmeter, a water intake 2115, a reserved port 2116, a heat meter 2117, a temperature transmitter, and a globe valve 2118 are arranged in sequence. On the water return path of the secondary network branch, a globe valve, a coupon device, a temperature transmitter, a pressure gauge, a reserved port, a ball valve, a water tank, a ball valve, a tap water interface, a pressure gauge, a safety valve, a pressure transmitter, a coupon device, a circulation pump, a ball valve, a descaling device, a ball valve, a temperature transmitter, a pressure transmitter, a pressure gauge, and a thermometer are arranged in sequence.
[0077] At the rear end of the globe valve on the water supply path of the secondary network branch, there is a water supply interface of the fan coil unit. At the front end of the globe valve on the water return path of the secondary network branch, there is a water return interface of the fan coil unit. A globe valve is arranged between the water supply interface and the fan coil unit, and a globe valve and an electric control valve are arranged between the water return interface and the fan coil unit.
[0078] Water meters 2119 are arranged between the tap water inlet and the tap water interfaces, and solenoid valves 2120 are arranged on one side of the water meters.
[0079] The experimental system further includes a processing terminal.
[0080] The control cabinet is used to transmit control signals to the control valves on the primary network water path and the secondary network water path according to a preset strategy;
[0081] The control cabinet is used to record the sensor signals of the sensors on the primary network water path and the secondary network water path;
[0082] The control cabinet and the processing terminal are used to generate sampling information for each water quality sampling port according to the preset strategy and the sensor signals.
[0083] The sampling information is to record information such as the water path flow rate, hot water supply temperature, water pressure, and temperature change amount of this water sample.
[0084] The experimental system is used for:
[0085] Obtaining a target water sample by using the water quality sampling port;
[0086] Obtaining the scale amount of the target water sample;
[0087] Obtaining the scaling rate according to the sampling information and the scale amount of the target water sample.
[0088] The above steps can obtain the water sample by a robot or manually, and calculate the scaling rate through the processing terminal.
[0089] The number of the plate heat exchangers is two. The preset strategies for the water circuits on both sides of the first plate heat exchanger are heating system simulation strategies, and the preset strategies for the water circuits on both sides of the second plate heat exchanger are control strategies. The processing terminal is used for:
[0090] Input the water flow rate, hot water supply temperature, water pressure, and temperature change amount of the heating system into deepseek to generate a control script for the heating system simulation strategy;
[0091] The control cabinet is used to run the control script of the heating system simulation strategy for the water circuits on both sides of the first plate heat exchanger.
[0092] An example of the control script generated by deepseek is as Figure 4 shown, and the script description is as follows:
[0093] Sensor reading:
[0094] read_flow_sensor(): Simulate reading data from the flow sensor.
[0095] read_temperature_sensor(): Simulate reading data from the temperature sensor.
[0096] Valve control:
[0097] set_valve_position(position): Simulate setting the valve opening (0 - 100%).
[0098] Control logic:
[0099] If the flow rate is too low or too high, the valve will be fully opened or closed to adjust the flow rate.
[0100] If the temperature is lower than the target temperature, the valve will be fully opened to increase the temperature; if the temperature is too high, the valve will be half - opened to decrease the temperature.
[0101] Loop operation:
[0102] The script will keep running and check and adjust the valve every certain period (VALVE_RESPONSE_TIME).
[0103] The experimental system is used for:
[0104] Obtain the water sample from the water quality sampling port of the secondary network branch of the first plate heat exchanger, and obtain the scaling rate corresponding to the first plate heat exchanger according to the water sample;
[0105] Plan the preset strategy of the second plate heat exchanger according to the scaling rate of the first plate heat exchanger. During the planning process, basic parameters of heating will be considered, such as ensuring the flow rate and temperature of heating, because the method to minimize the scaling rate is to reduce the flow rate.
[0106] The processing terminal is used to input a preset strategy into DeepSeek to generate a control script for the preset strategy;
[0107] The control cabinet is used to run the control script of the preset strategy on the water circuits on both sides of the second plate heat exchanger.
[0108] The experimental system is used for:
[0109] Obtaining a water sample set from the water quality sampling port of the secondary network branch of the second plate heat exchanger that executes the preset strategy;
[0110] Obtaining a fouling rate set corresponding to the second plate heat exchanger according to the water sample set;
[0111] The processing terminal is used to input the fouling rate set into DeepSeek for analysis and obtain a target control strategy, where the target control strategy includes the optimal values of water flow rate, water pressure, and temperature control for reducing the fouling rate obtained by DeepSeek analysis;
[0112] Inputting the target control strategy into DeepSeek to generate a control script for the target control strategy;
[0113] The control cabinet is used to run the control script of the target control strategy on the water circuits on both sides of the second plate heat exchanger.
[0114] The control cabinet is also used to run the control script of the target control strategy on the water circuits on both sides of the second plate heat exchanger;
[0115] The control cabinet is used to obtain the water sample from the water quality sampling port of the secondary network branch of the second plate heat exchanger;
[0116] The processing terminal is used to obtain the fouling rate of the water sample of the target control strategy and compare it with the optimal theoretical value; the theoretical value is the theoretical value obtained when formulating the target control strategy, and it needs to be compared with the actual value to obtain the credibility of the content generated by DeepSeek, and then further train the DeepSeek algorithm.
[0117] The processing terminal is used to input the comparison result into DeepSeek for deep learning algorithm training.
[0118] See Figure 5 , using the above experimental system, this embodiment also provides a scale detection method, including:
[0119] Step 100, the control cabinet transmits control signals to the control valves on the primary network water circuit and the secondary network water circuit according to the preset strategy;
[0120] Step 101: Record the sensor signals of the sensors on the primary water path and the secondary water path.
[0121] Step 102: The control cabinet generates sampling information for each water quality sampling port according to the preset strategy and the sensor signals.
[0122] Step 103: Use the water quality sampling port to obtain the target water sample.
[0123] Step 104: Obtain the scale amount of the target water sample.
[0124] Step 105: Obtain the scaling rate according to the sampling information and the scale amount of the target water sample.
[0125] Among them, the number of the plate heat exchangers is two. The preset strategy for the two water paths on the first plate heat exchanger is the heating system simulation strategy, and the preset strategy for the two water paths on the second plate heat exchanger is the control strategy. The step 102 includes:
[0126] Input the water path flow rate, hot water supply temperature, water pressure, and temperature change amount of the heating system into deepseek to generate the control script of the heating system simulation strategy.
[0127] The control cabinet runs the control script of the heating system simulation strategy on the two water paths of the first plate heat exchanger.
[0128] The step 102 further includes:
[0129] Obtain the water sample of the water quality sampling port on the secondary branch of the first plate heat exchanger, and obtain the scaling rate corresponding to the first plate heat exchanger according to the water sample.
[0130] Plan the preset strategy of the second plate heat exchanger according to the scaling rate of the first plate heat exchanger.
[0131] Input the preset strategy into deepseek to generate the control script of the preset strategy.
[0132] The control cabinet runs the control script of the preset strategy on the two water paths of the second plate heat exchanger.
[0133] The scale detection method includes:
[0134] Obtain the water sample set of the water quality sampling port on the secondary branch of the second plate heat exchanger that executes the preset strategy.
[0135] Obtain the scaling rate set corresponding to the second plate heat exchanger according to the water sample set.
[0136] Input the fouling rate set into DeepSeek for analysis and obtain the target control strategy, where the target control strategy includes the optimal values of water flow rate, water pressure, and temperature control for reducing the fouling rate obtained by DeepSeek analysis;
[0137] Input the target control strategy into DeepSeek to generate the control script of the target control strategy;
[0138] The control cabinet runs the control script of the target control strategy on the water circuits on both sides of the second plate heat exchanger.
[0139] The scale detection method includes:
[0140] The control cabinet runs the control script of the target control strategy on the water circuits on both sides of the second plate heat exchanger;
[0141] The control cabinet obtains the water sample from the water quality sampling port of the secondary network branch of the second plate heat exchanger;
[0142] Obtain the fouling rate of the water sample of the target control strategy and compare it with the theoretical optimal value;
[0143] Input the comparison result into DeepSeek for deep learning algorithm training.
[0144] Although the specific embodiments of the present invention have been described above, those skilled in the art should understand that these are only examples. The protection scope of the present invention is defined by the appended claims. Without departing from the principles and essence of the present invention, those skilled in the art can make various changes or modifications to these embodiments, but these changes and modifications all fall within the protection scope of the present invention.
Claims
1. A scale detection method, characterized in that, The scale detection method is implemented by using an experimental system, which includes an air source heat pump, at least two plate heat exchangers, radiators with the same number as the plate heat exchangers, a control cabinet, a primary network water circuit, and a secondary network water circuit; The primary network water circuit includes primary network branches with the same number as the plate heat exchangers. All the primary network branches are connected to the air source heat pump, and all the primary network branches are correspondingly connected to the primary side of the plate heat exchangers; The secondary network water circuit includes secondary network branches with the same number as the plate heat exchangers. All the secondary network branches are correspondingly connected to the secondary side of the plate heat exchangers, and all the secondary network branches are correspondingly connected to a radiator; A water quality sampling port is provided on the water supply path of each secondary network branch, and a ball valve is provided at the position of the water quality sampling port; The scale detection method includes: The control cabinet transmits control signals to the control valves on the primary network water circuit and the secondary network water circuit according to a preset strategy; Record the sensor signals of the sensors on the primary network water circuit and the secondary network water circuit; The control cabinet generates sampling information for each water quality sampling port according to the preset strategy and the sensor signals.
2. The scale detection method according to claim 1, characterized in that, The scale detection method includes: Obtain a target water sample by using the water quality sampling port; Obtain the scale amount of the target water sample; Obtain the scaling rate according to the sampling information and the scale amount of the target water sample.
3. The scale detection method according to claim 2, wherein The number of the plate heat exchangers is two. The preset strategy for the two sides of the first plate heat exchanger is a heating system simulation strategy, and the preset strategy for the two sides of the second plate heat exchanger is a control strategy. The scale detection method includes: Input the water flow rate, hot water supply temperature, water pressure, and temperature change amount of the heating system into deepseek to generate a control script for the heating system simulation strategy; The control cabinet runs the control script of the heating system simulation strategy on the two sides of the first plate heat exchanger.
4. The scale detection method according to claim 3, wherein, The scale detection method includes: Obtain the water sample from the water quality sampling port of the secondary network branch of the first plate heat exchanger, and obtain the scaling rate corresponding to the first plate heat exchanger according to the water sample; Plan the preset strategy of the second plate heat exchanger according to the scaling rate of the first plate heat exchanger; Input the preset strategy into deepseek to generate a control script for the preset strategy; The control cabinet runs the control script of the preset strategy on the two sides of the second plate heat exchanger.
5. The scale detection method according to claim 4, wherein The scale detection method includes: Obtain a water sample set from the water quality sampling ports of the secondary network branches of the second plate heat exchanger that executes the preset strategy; Obtain a scaling rate set corresponding to the second plate heat exchanger according to the water sample set; Input the scaling rate set into deepseek for analysis and obtain a target control strategy, where the target control strategy includes the optimal values of water flow rate, water pressure, and temperature control for reducing the scaling rate obtained by deepseek analysis; Input the target control strategy into deepseek to generate a control script for the target control strategy; The control cabinet runs the control script of the target control strategy on the two sides of the second plate heat exchanger.
6. The scale detection method according to claim 5, wherein, The scale detection method includes: The control cabinet runs the control script of the target control strategy on the two sides of the second plate heat exchanger; The control cabinet obtains the water sample from the water quality sampling port of the secondary network branch of the second plate heat exchanger; Obtain the scaling rate of the water sample of the target control strategy and compare it with the theoretical optimal value; Input the comparison result into DeepSeek for deep learning algorithm training.
7. The scale detection method according to claim 1, wherein The experimental system includes a tap water inlet, and the tap water inlet is connected to two tap water pipelines, and the tap water pipelines are respectively connected to the return water circuits of the secondary network side branches; The experimental system includes fan coil units with the same number as the plate heat exchangers. The input end of each fan coil unit is connected to the water supply circuit of the secondary network side branch, and the output end is connected to the return water circuit of the secondary network side branch; The experimental system includes water tanks with the same number as the plate heat exchangers, and each water tank is arranged on the water supply circuit of the secondary network side branch; The experimental system includes a water pump and circulation pumps. The water pump is arranged on the water outlet circuit of the primary network side waterway, and the number of circulation pumps is the same as the number of plate heat exchangers. Each circulation pump is arranged on the return water circuit of the secondary network side branch; The experimental system includes descaling devices with the same number as the plate heat exchangers, and each descaling device is arranged on the return water circuit of the secondary network side branch.
8. The scale detection method according to claim 7, wherein The sensor includes one or more of a pressure gauge, a thermometer, a water meter, a heat meter, a vortex flowmeter, and a float flowmeter, and the control valve is a solenoid valve; The sensor includes a pressure gauge, a thermometer, a water meter, a heat meter, a vortex flowmeter, and a float flowmeter; On the water inlet circuit of the primary network side waterway, a ball valve, a temperature transmitter, a pressure gauge, a filter, and a pressure gauge are sequentially arranged. On the water outlet circuit of the primary network side waterway, a pressure gauge, a ball valve, and a water pump are sequentially arranged; On the water inlet circuit of the primary network side branch, a ball valve, a pressure transmitter, and a thermometer are sequentially arranged. On the water outlet circuit of the primary network side branch, a thermometer, a pressure transmitter, a temperature transmitter, an electric control valve, a vortex flowmeter, and a float flowmeter are sequentially arranged; On the water supply circuit of the secondary network side branch, a thermometer, a pressure gauge, a pressure transmitter, a temperature transmitter, a coupon device, a ball valve, a float flowmeter, a vortex flowmeter, a water intake port, a reserved port, a heat meter, a temperature transmitter, and a stop valve are sequentially arranged. On the return water circuit of the secondary network side branch, a stop valve, a coupon device, a temperature transmitter, a pressure gauge, a reserved port, a ball valve, a water tank, a ball valve, a tap water interface, a pressure gauge, a safety valve, a pressure transmitter, a coupon device, a circulation pump, a ball valve, a descaling device, a ball valve, a temperature transmitter, a pressure transmitter, a pressure gauge, and a thermometer are sequentially arranged.
9. The scale detection method according to claim 8, characterized in that A water supply interface of the fan coil unit is provided at the rear end of the stop valve on the water supply circuit of the secondary network side branch, and a return water interface of the fan coil unit is provided at the front end of the stop valve on the return water circuit of the secondary network side branch. A stop valve is provided between the water supply interface and the fan coil unit, and a stop valve and an electric control valve are provided between the return water interface and the fan coil unit.
10. An experimental system for scale detection, characterized in that, The experimental system for scale detection is used to implement the scale detection method according to any one of claims 1 to 9.