Method for eliminating crystals by heating bittern pump

Abstract

The invention belongs to the technical field of bittern crystallization inhibition, and relates to a dynamic temperature control method for bittern pump crystallization prevention, which comprises the following steps: S1, monitoring the temperature and humidity of each chamber in a pump body, and transmitting the monitoring data to a control end; s2, the flow of liquid flowing through the pump body is monitored, and monitoring data is transmitted to the control end; s3, the control end judges and issues an instruction to control the heating temperature and the heating duration of each cavity heating device in the pump body according to the received monitoring data; s4, the control end dynamically adjusts the heating temperature and the heating duration of each cavity heating device in the pump body according to the temperature, humidity and flow data monitored in real time in the pump body; according to the invention, the crystallization state of bittern is comprehensively evaluated from the temperature of each chamber of the bittern pump, the flow of the bittern pump and the like through the graph attention decision model built in the core board, and the temperatures of the impeller and the impeller chamber metal device are dynamically controlled in a closed-loop manner through the electromagnetic heating device, so that the crystallization condition of the bittern pump is destroyed, and the crystallization of the bittern pump is effectively inhibited.

Description

Technical Field

[0001] The invention belongs to the technical field of brine crystallization inhibition and relates to a dynamic temperature control method for preventing crystallization of a brine pump. Background Art

[0002] Brine pump is a pump specially used for extracting, conveying or circulating liquids with high salt concentration (i.e. salt water or brine). Brine pumps are widely used in seawater desalination, salt making industry, chemical production, food processing and other industries, responsible for transporting liquids with high salt content. Brine pump crystallization refers to the solid crystal deposits formed inside or around the pump body during the operation of the brine pump. These crystals are mainly formed by the precipitation of salts dissolved in brine (such as sodium chloride, calcium sulfate, etc.). The reasons for brine pump crystallization include:

[0003] ① Temperature changes: When the brine passes through the pump, if the temperature drops, some of the salts in the solution will reach saturation point and begin to crystallize. For example, this can happen when operating in a cold environment or during cooling.

[0004] ② Evaporation: If there is a leak or open area in the pump system, so that part of the brine is exposed to the air, the water will gradually evaporate, causing the salt concentration in the remaining solution to increase, and eventually exceed the solubility limit and crystallize.

[0005] ③ Pressure fluctuations: Pressure changes in the pump may also affect the solubility of salts. High pressure helps keep salts dissolved, while reduced pressure may cause them to precipitate into crystals.

[0006] ④ Residence time: Brine stays in the pump too long, especially at low flow rates, which may give the salts enough time to settle and form crystals.

[0007] ⑤Chemical reaction: Sometimes, chemical reactions may occur between different components contained in salt water to produce new insoluble compounds, leading to crystallization.

[0008] The effects of brine pump crystallization include:

[0009] ① Reduced efficiency: Crystallization will hinder the normal operation of the pump, increase friction resistance, and lead to increased energy consumption and reduced work efficiency.

[0010] ② Mechanical damage: Hard crystals may scratch the internal surface of the pump, damaging the impeller and other key components.

[0011] ③Blockage problem: Severe crystallization may cause blockage of pipes or valves, or even make the entire system unable to work properly.

[0012] However, the existing brine pumps cannot effectively solve the problem of crystallization. They can only rely on increasing the surface finish of the water pump to reduce the amount of brine, or periodically salvage the brine pump and flush it with a large amount of hot fresh water to eliminate crystallization. Otherwise, long-term use will easily cause pump blockage or mechanical damage, reduce pumping efficiency, and even cause production accidents. Therefore, a time-saving, labor-saving, efficient and low-cost method for preventing pump crystallization is needed to solve the above technical problems. Summary of the invention

[0013] The technical solution adopted by the present invention to solve the technical problem is: a dynamic temperature control method for preventing crystallization of brine pumps, comprising: step S1, monitoring the temperature and / or humidity of each chamber in the pump body and transmitting the monitoring data to the control end; step S2, monitoring the liquid flow flowing through the pump body and transmitting the monitoring data to the control end; step S3, the control end judges and issues instructions to control the heating temperature and heating time of the heating device of each chamber in the pump body according to the received monitoring data; step S4, the control end dynamically adjusts the heating temperature and heating time of the heating device of each chamber in the pump body according to the temperature, humidity and flow data monitored in real time in the pump body.

[0014] Preferably, the pump body includes: a brine pump, a chemical pump, a centrifugal pump, a magnetic drive pump, and a circulating pump; the liquid flowing through the pump body includes: a sodium chloride solution, a sodium sulfate solution, a calcium chloride solution, a magnesium sulfate solution, a sodium bicarbonate solution, a nitrate solution, and a phosphate solution.

[0015] Preferably, the control end is a core control board; the chambers in the pump body include: a motor chamber, an impeller chamber, and a wiring chamber; the motor chamber is provided with a first temperature and humidity sensor and a first electromagnetic heating device; the impeller chamber is provided with a second temperature and humidity sensor, a second electromagnetic heating device, and a flow sensor, and the wiring chamber is provided with a third temperature and humidity sensor and a third electromagnetic heating device; the first temperature and humidity sensor, the first electromagnetic heating device, the second temperature and humidity sensor, the second electromagnetic heating device, the third temperature and humidity sensor, the third electromagnetic heating device, and the flow sensor are electrically connected to the core control board, respectively.

[0016] Preferably, in step S1, each temperature and humidity sensor monitors the temperature of the motor cavity, the impeller chamber, and the wiring cavity respectively and transmits the monitored temperature value to the core control board;

[0017] In step S2, the flow sensor monitors the pumped liquid flow in the pump body in real time and transmits it to the core control board;

[0018] In step S3, the core control board controls the first electromagnetic heating device, the second electromagnetic heating device, and the third electromagnetic heating device to electromagnetically heat the motor cavity, the impeller chamber, and the wiring cavity respectively;

[0019] In step S4, the core control board uses the electromagnetic heating device control data in step S3 to dynamically adjust the working states of the first electromagnetic heating device, the second electromagnetic heating device, and the third electromagnetic heating device.

[0020] Preferably, in step S3, the core control board uses the graph attention decision model to judge and issue instructions to control the heating temperature and heating time of the heating devices of each chamber in the pump body;

[0021] The expression of the graph attention decision model includes:

[0022] (δ 1 ,t 1 ,δ 2 ,t 2 ,δ 3 ,t 3 ) Τ =GAT(T 1 ,T 2 ,T 3 ,μ) (1)

[0023] In formula (1), T 1 , T 2 and T 3 Respectively represent the temperatures collected by the first temperature and humidity sensor, the second temperature and humidity sensor, and the third temperature and humidity sensor, μ represents the flow rate collected by the flow sensor, δ 1 , δ 2 and δ 3 The signals respectively indicate whether the first electromagnetic heating device, the second electromagnetic heating device and the third electromagnetic heating device need to start the heating switch, t 1 , t 2 and t 3 They respectively represent the heating time of the first electromagnetic heating device, the second electromagnetic heating device and the third electromagnetic heating device.

[0024] More preferably, in step S3, the graph attention decision model jointly controls the temperature control data of the electromagnetic heating device at the next timestamp through the monitored temperatures of different chambers and the liquid flow in the pump.

[0025] Preferably, in step S4, the electromagnetic heating device starts timing after being started, and stops heating when the timing exceeds a preset time τ.

[0026] More preferably, the electromagnetic heating device comprises: a ZVS electromagnetic induction heating device.

[0027] More preferably, the core control board is also electrically connected to a wireless transmission device, and the wireless transmission device is communicatively connected to a remotely controlled host computer.

[0028] More preferably, the core control board adopts PID controller closed-loop control to realize the control of the start switch of the electromagnetic heating device by the temperature of the motor cavity, impeller chamber and wiring cavity.

[0029] The beneficial effects of the present invention are:

[0030] 1. The present invention uses a graph attention decision model built into the core board to comprehensively evaluate the brine crystallization state from several aspects such as the temperature of each chamber of the brine pump and the flow rate of the brine pump, and uses an electromagnetic heating device to dynamically control the temperature of the impeller and the metal components of the impeller chamber in a closed loop, thereby destroying the brine crystallization conditions. Therefore, the present invention can effectively inhibit the crystallization of the brine pump.

[0031] 2. The present invention dynamically controls the heating time and heating temperature of the electromagnetic heating device so that the temperature inside the pump body is slightly higher than the temperature at which the fluid in the pump body crystallizes. This ensures that brine crystals are not easily generated in the pump body and reduces the energy consumption caused by heating the pump body. Therefore, the present invention can effectively inhibit the crystallization of the brine pump while reducing the heating energy consumption for inhibiting crystallization. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a processing flow diagram of a dynamic temperature control method for preventing brine pump crystallization according to the present invention;

[0033] Figure 2 It is a schematic diagram of the main peripherals and drive components of the core control board of the present invention;

[0034] Figure 3 It is a schematic diagram of the temperature control signal generation process of the graph attention decision model of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the relevant technologies in the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] refer to Figure 1, a dynamic temperature control method for preventing brine pump crystallization in this embodiment includes: a core control board, a first temperature and humidity sensor, a second temperature and humidity sensor, a third temperature and humidity sensor, a flow sensor, a first electromagnetic heating device, a second electromagnetic heating device, and a third electromagnetic heating device. The first temperature and humidity sensor and the first electromagnetic heating device are both arranged in the motor cavity of the brine pump, the second temperature and humidity sensor and the second electromagnetic heating device are both arranged in the impeller chamber of the brine pump, and the third temperature and humidity sensor and the third electromagnetic heating device are arranged in the wiring cavity of the brine pump; according to the temperature and humidity sensors embedded in the pump body, the motor cavity, the impeller chamber, and the wiring cavity in the pump body are monitored in real time as well as the flow value of the brine pump, and the coordinated temperature control signals of different electromagnetic heating devices are formed through the graph attention decision model embedded in the core control board, so as to realize the closed-loop dynamic temperature control of the temperature of the impeller and the metal components of the impeller chamber, and destroy the conditions for brine crystallization. At the same time, independent monitoring and collaborative heating of each chamber can solve the problem of different crystallization temperatures of the same fluid caused by differences in equipment layout, liquid flow rate, and pressure in each chamber. Standard temperature control signals can also be set for different chambers under the same fluid based on experience and historical crystallization data of the pump body.

[0037] The method for heating and eliminating crystallization of a brine pump comprises the following steps:

[0038] Step S1, each temperature and humidity sensor monitors the temperature of the motor chamber, impeller chamber, and wiring chamber in the pump body and transmits the monitored temperature value to the core control board. Each sensor transmits the real-time monitored temperature back to the core control board to provide a basis for the closed-loop dynamic temperature control of the core control board, thereby reducing unnecessary heating temperature rise and heating time, and achieving high efficiency and low power consumption to eliminate pump body crystallization;

[0039] Step S2: The flow sensor monitors the brine flow of the brine pump in real time and transmits it to the core control board. The flow sensor data is used to indirectly determine the crystallization of the brine pump to avoid misjudgment of the crystallization state of the brine pump under different seasons, different temperatures and other conditions. The main peripherals and drive components of the core control board can be referred to Figure 2 .

[0040] Step S3: The core control board uses the graph attention decision model to control the electromagnetic heating device control data including whether to heat and heating duration according to the temperature monitoring value in step S1 and the flow monitoring value in step S2. The graph attention decision model temperature control signal generation process can be referred to Figure 3 , its mathematical definition is shown in formula (1).

[0041] (δ 1 ,t 1 ,δ 2 ,t 2 ,δ 3 ,t 3 )Τ =GAT(T 1 ,T 2 ,T 3 ,μ) (1)

[0042] Where T 1 , T 2 and T 3 Respectively represent the motor cavity temperature, impeller chamber temperature and wiring cavity temperature collected by the first temperature and humidity sensor, the second temperature and humidity sensor and the third temperature and humidity sensor. μ represents the brine pump brine flow sensor collected by the flow sensor. δ 1 , δ 2 and δ 3 Signals indicating whether the first electromagnetic heating device, the second electromagnetic heating device, and the third electromagnetic heating device need to start the heating switch. 1 , t 2 and t 3 They represent the heating time signals of the first electromagnetic heating device, the second electromagnetic heating device and the third electromagnetic heating device respectively. The specific description of the graph attention decision model is as follows: The relationship between the graph attention networks of two adjacent layers is defined as shown in formula (2).

[0043]

[0044] Where N i represents the number of neighboring nodes of the ith node, and σ(·) represents the activation function. and The definitions of are shown in formula (3) and formula (4) respectively.

[0045]

[0046] Where W (l) represents the projection weight of the lth layer, represents the attention value between the i-th node and the j-th node, and its definition is shown in formula (5).

[0047]

[0048] Where a represents a learnable projection vector, which is used to map the feature vector to a certain value. || represents the concatenation operation, and LeakyReLU(·) represents the LeakyReLU activation function, which is defined as shown in formula (6).

[0049] LeakyReLU(x)=max(κx,x),st0<κ<<1 (6)

[0050] In the formula, κ is a small constant parameter. Finally, the fusion feature is obtained using formula (7), and the temperature control signal is obtained using formula (8).

[0051]

[0052] (δ 1 ,t 1 ,δ 2 ,t 2 ,δ 3 ,t 3 ) Τ =MLP(h f ) (8) Where N represents the number of data types collected by the terminal, and its value is 4 in the present invention, h i ' represents the feature vector of the i-th modality after weighted fusion by the graph attention model.

[0053] Step S4, the core control board uses the electromagnetic heating device control data in step S3 to dynamically adjust the working status of different electromagnetic heating devices, and prevent the brine pump from crystallizing by destroying the brine crystallization conditions.

[0054] Furthermore, in step S4, the timing starts after the electromagnetic heating device is started, and when the timing exceeds τ minutes, the electromagnetic heating device is stopped; when the temperature in each chamber is not monitored to be higher than or reaches the temperature threshold for stopping heating after the heating starts, in order to protect the electromagnetic heating device and reduce power consumption, the heating switch is turned off at a timed interval.

[0055] Furthermore, in step S4, the electromagnetic heating device includes: a ZVS electromagnetic induction heating device.

[0056] Furthermore, the core control board is also electrically connected to a wireless transmission device, which is communicatively connected to a remotely controlled host computer; the wireless transmission method enables an operator or a monitoring system to remotely configure and monitor the pump body and the crystallization elimination device in the deep well in real time on the ground.

[0057] Furthermore, the core control board adopts PID controller closed-loop control to realize the control of the start switch of the electromagnetic heating device by the temperature of the motor cavity, impeller chamber, and wiring cavity; the PID controller can automatically maintain the set value and compensate for the changes in the process and environment to realize automatic control to eliminate the crystallization process.

[0058] The key technical point of this implementation is: the temperature of different chambers in the pump body and the real-time flow of the brine pump are modeled through the graph attention decision model, and the coordinated temperature control signal of multiple electromagnetic heating devices is generated, and the relevant components of the brine pump are closed-loop dynamically controlled within a smaller range above the fluid crystallization temperature to destroy the brine crystallization conditions, thereby inhibiting crystallization and reducing power consumption. ZVS electromagnetic induction heating technology can indirectly block the attachment point and crystallization temperature of brine crystals by inductively heating the metal inside the coil (impeller chamber); wireless transmission technology in a closed metal environment can upload the operation status of the brine pump or accept remote control from the host computer without changing the original wiring method of the brine pump.

[0059] Example

[0060] A salt-making factory uses brine pumps to extract high-concentration brine (mainly sodium chloride NaCl) from salt pans and transports the brine to evaporation crystallizers for further processing to produce industrial salt. The factory is located in an area with large temperature changes, and the temperature difference between day and night sometimes exceeds 20 degrees Celsius. With the change of seasons and the drop in temperature at night, brine pumps frequently experience crystallization. Especially at night or when the ambient temperature is low, due to the partial evaporation of water in the salt solution, the solution concentration increases, exceeding the saturation point of sodium chloride salts, and forming crystal deposits inside the pump body, on the inlet and outlet valves, and on the inner wall of the connecting pipe. These crystals not only increase the fluid resistance and reduce the working efficiency of the pump, but also lead to increased leakage at the pump shaft seal, and even cause problems such as local corrosion of the pump body or accelerated wear of mechanical parts. To solve the problem of brine pump crystallization, the factory has previously taken measures including: regular flushing, optimization of operating procedures, material upgrades, and installation of monitoring and early warning systems. However, the effect of eliminating crystallization is not obvious. Usually within a few months, crystallization causes the pump body to be blocked or even unusable.

[0061] By installing temperature and humidity sensors and heating devices in the motor chamber, impeller chamber, and wiring chamber of the brine pump of the factory, and monitoring the crystallization temperature of the brine pump of the factory at different time periods and different pressures, the crystallization temperature of the factory during the day and night time periods is measured, and then the heating temperature is set in the graph attention decision model according to the measured temperature to be 3 to 5°C higher than the measured crystallization temperature of the time period, and the heating time is set to 30 to 50 minutes according to the flow rate of the brine fluid in the different pumps. After three months, the brine pump of the factory was disassembled for inspection. During the inspection, it was found that only a small amount of brine crystals were found in the pump body of the brine pump of the factory, which did not affect the continued normal use of the brine pump.

[0062] Through the above improvement measures, the salt production plant effectively reduced the crystallization problem of the brine pump during use and improved the stability and work efficiency of the system. This shows that through the graph attention decision model built into the core board, the crystallization state of the brine is comprehensively evaluated from several aspects such as the temperature of each chamber of the brine pump and the flow rate of the brine pump, and the crystallization temperature of different brine liquids in different regions is set. Finally, the temperature of the impeller and the metal parts of the impeller chamber are dynamically controlled by the electromagnetic heating device in a closed loop, which can effectively inhibit the formation of crystals in the brine pump, extend the service life of the brine pump, and reduce the cost of regular flushing or replacement of new pumps.

[0063] In summary, the present invention realizes real-time monitoring of the crystal formation temperature through the intelligent, autonomous analysis and processing and closed-loop control capabilities of the core control board. Once the risk of crystallization conditions occurs, the electromagnetic heater is controlled to heat the impeller and the metal components of the impeller chamber to prevent the brine from crystallizing at the temperature required. Therefore, the present invention can suppress the crystallization of brine with high efficiency and low power consumption.

[0064] It should be emphasized that the above are only preferred embodiments of the present invention and do not limit the present invention in any form. Any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A dynamic temperature control method for preventing brine pump crystallization, characterized in that: include: Step S1, monitoring the temperature and / or humidity of each chamber in the pump body and transmitting the monitoring data to the control end; Step S2, monitoring the liquid flow through the pump body and transmitting the monitoring data to the control end; Step S3, the control end determines and issues instructions to control the heating temperature and heating time of the heating devices of each chamber in the pump body according to the received monitoring data; Step S4, the control end dynamically adjusts the heating temperature and heating time of the heating devices of each chamber in the pump body according to the temperature, humidity and flow data monitored in real time in the pump body.

2. A dynamic temperature control method for preventing brine pump crystallization according to claim 1, characterized in that: The pump body includes: a brine pump, a chemical pump, a centrifugal pump, a magnetic drive pump, and a circulating pump; the liquid flowing through the pump body includes: a sodium chloride solution, a sodium sulfate solution, a calcium chloride solution, a magnesium sulfate solution, a sodium bicarbonate solution, a nitrate solution, and a phosphate solution.

3. A dynamic temperature control method for preventing brine pump crystallization according to claim 1, characterized in that: The control end is a core control board; the chambers in the pump body include: a motor chamber, an impeller chamber, and a wiring chamber; The motor cavity is provided with a first temperature and humidity sensor and a first electromagnetic heating device; the impeller chamber is provided with a second temperature and humidity sensor, a second electromagnetic heating device, and a flow sensor; the wiring cavity is provided with a third temperature and humidity sensor and a third electromagnetic heating device; The first temperature and humidity sensor, the first electromagnetic heating device, the second temperature and humidity sensor, the second electromagnetic heating device, the third temperature and humidity sensor, the third electromagnetic heating device, and the flow sensor are electrically connected to the core control board, respectively.

4. A dynamic temperature control method for preventing brine pump crystallization according to claim 3, characterized in that: In step S1, each temperature and humidity sensor monitors the temperature of the motor cavity, the impeller chamber, and the wiring cavity respectively and transmits the monitored temperature value to the core control board; In step S2, the flow sensor monitors the pumped liquid flow in the pump body in real time and transmits it to the core control board; In step S3, the core control board controls the first electromagnetic heating device, the second electromagnetic heating device, and the third electromagnetic heating device to electromagnetically heat the motor cavity, the impeller chamber, and the wiring cavity respectively; In step S4, the core control board uses the electromagnetic heating device control data described in step S3 to dynamically adjust the working states of the first electromagnetic heating device, the second electromagnetic heating device, and the third electromagnetic heating device.

5. A dynamic temperature control method for preventing brine pump crystallization according to claim 4, characterized in that: In step S3, the core control board uses the graph attention decision model to judge and issue instructions to control the heating temperature and heating time of the heating devices in each chamber of the pump body; The expression of the graph attention decision model includes: (δ1,t1,δ2,t2,δ3,t3) Τ =GAT(T1,T2,T3,μ) (1) In formula (1), T1, T2 and T3 respectively represent the temperatures collected by the first temperature and humidity sensor, the second temperature and humidity sensor and the third temperature and humidity sensor, μ represents the flow rate collected by the flow sensor, δ1, δ2 and δ3 respectively represent the signals of whether the first electromagnetic heating device, the second electromagnetic heating device and the third electromagnetic heating device need to start the heating switch, and t1, t2 and t3 respectively represent the heating time of the first electromagnetic heating device, the second electromagnetic heating device and the third electromagnetic heating device.

6. A dynamic temperature control method for preventing brine pump crystallization according to claim 5, characterized in that: In step S3, the graph attention decision model jointly controls the temperature control data of the electromagnetic heating device at the next timestamp through the monitored temperatures of different chambers and the liquid flow in the pump.

7. A dynamic temperature control method for preventing brine pump crystallization according to claim 5, characterized in that: In step S4, the electromagnetic heating device starts timing after being started, and stops heating when the timing exceeds a preset time τ.

8. A dynamic temperature control method for preventing brine pump crystallization according to claim 5, characterized in that: The electromagnetic heating device comprises: a ZVS electromagnetic induction heating device.

9. A dynamic temperature control method for preventing brine pump crystallization according to claim 5, characterized in that: The core control board is also electrically connected to a wireless transmission device, and the wireless transmission device is communicatively connected to a remotely controlled host computer.

10. A dynamic temperature control method for preventing brine pump crystallization according to claim 5, characterized in that: The core control board adopts PID controller closed-loop control to realize the control of the start switch of the electromagnetic heating device by the temperature of the motor cavity, impeller chamber and wiring cavity.

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