Evaporative cooling equipment remote diagnosis system based on cloud computing

Abstract

The invention relates to an evaporative cooling equipment remote diagnosis system based on cloud computing, which is applied to the field of equipment monitoring and is characterized in that a scale sensing pipe is additionally arranged in a heat exchange pipe to realize remote diagnosis of scale generation conditions, and the scale sensing pipe is triggered by a pressure difference generated when the heat exchange pipe is blocked by scale; the incrustation sensing pipe is used for sensing the incrustation, so that the incrustation sensing pipe is used for positioning the position of the incrustation, the accuracy of incrustation diagnosis is effectively improved, and a maintainer can conveniently take relative solutions according to a diagnosis result, in addition, an incrustation remover is introduced into the incrustation sensing pipe, and a cleaning agent is released at a fixed point according to the incrustation diagnosis result. Therefore, in the process of cleaning the heat exchange tube, fixed-point cleaning can be conducted on the position where water scale is generated in a targeted mode, the water scale treatment effect is effectively improved, and a positive auxiliary effect is achieved on cleaning work of the heat exchange tube.

Description

Technical Field

[0001] This invention relates to a cloud-based remote diagnostic system for evaporative cooling equipment, and more particularly to a cloud-based remote diagnostic system for evaporative cooling equipment applied in the field of equipment monitoring. Background Technology

[0002] A closed-circuit cooling tower (also called an evaporative air cooler or a closed cooling tower) places a tubular heat exchanger inside the tower and ensures cooling efficiency through heat exchange between circulating air, spray water, and circulating water.

[0003] Closed-circuit cooling towers are widely used in factory equipment, primarily to cool the coolant used to dissipate heat from factory equipment. For equipment using water as a coolant, the main factor affecting the cooling effect of closed-circuit cooling towers is that water easily produces scale inside the tubular heat exchanger, thereby reducing the heat exchange efficiency of the radiator. In existing technologies, such as the automated real-time scale monitoring device for air conditioners disclosed in CN201116763Y, and the scale removal kit for cooling tower water purification disclosed in CN1412126A, both disclose technical solutions for monitoring and treating scale.

[0004] However, existing methods for monitoring scale are not direct enough, and can only be indirectly judged by monitoring the inflow and outflow of water, resulting in large differences in the monitored data, which in turn affects the descaling effect. For cooling towers that need to achieve efficient cooling, the existing monitoring methods and descaling methods are obviously inadequate. Summary of the Invention

[0005] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is how to accurately monitor the scale inside the cooling tower and perform targeted scale removal.

[0006] To address the aforementioned issues, this invention provides a cloud-based remote diagnostic system for evaporative cooling equipment, comprising an equipment sensing layer, a data transmission layer, a cloud computing platform layer, and an application layer. The equipment sensing layer includes inlet / outlet air temperature sensors installed on the compressor, current / voltage sensors installed on the fan, flow sensors installed on the water pump, humidity sensors installed on the spray system, liquid level sensors installed on the water tank, water pressure sensors installed on the valves, and scale sensing tubes installed on the cooling tower body. The data transmission layer includes a data acquisition module, a data filtering module, a data transmission module, and a data caching module. The cloud computing platform layer includes an equipment access and management module, a big data processing and analysis module, a big data storage module, and an artificial intelligence learning platform. The application layer includes a data encryption module, a fault diagnosis module, a fault early warning module, and an autonomous maintenance module.

[0007] In the aforementioned cloud-based remote diagnostic system for evaporative cooling equipment, scale is monitored in real time by adding a scale sensing tube inside the heat exchange tube. The system can also locate the scale based on its impact on the water pressure inside the heat exchange tube, thereby improving the descaling effect.

[0008] As a further improvement of this application, the cooling tower body includes a tubular heat exchanger, and the tubular heat exchanger includes heat exchange tubes and multiple heat dissipation fins evenly distributed on the heat exchange tubes. A scale sensing tube runs through the entire heat exchange tube, and a support mesh fixedly connected to the inner wall of the heat exchange tube is fixedly fitted onto the scale sensing tube at each bend of the heat exchange tube. The inlet and outlet ends of the heat exchange tube are fixedly connected to monitoring boxes, and the two ends of the scale sensing tube extend into the interior of the two monitoring boxes respectively. A data receiver connected to the scale sensing tube is installed inside the monitoring box, and the data receiver is connected to the data acquisition module.

[0009] As a further improvement of this application, the scale sensing tube includes a pressure-resistant tube. The side wall of the pressure-resistant tube has multiple equally spaced annular grooves, and each annular groove is fixedly fitted with a pressure-sensing ring. The center point of the pressure-sensing ring is aligned with the center point of the heat dissipation fins. Distributed temperature-sensing optical fibers are fixedly embedded on the side wall of two adjacent pressure-sensing rings of the pressure-resistant tube.

[0010] As a further improvement of this application, the pressure-sensing ring includes a hollow elastic outer membrane, a piezoelectric sensor fixedly connected to the inner wall of the elastic outer membrane, and an elastic water-proof mesh filled between the elastic outer membrane and the piezoelectric sensor.

[0011] As another improvement of this application, a conveying pipe for internal descaling agent is fixedly embedded in the middle of the pressure-resistant pipe, and multiple discharge pipes that are simultaneously connected to the conveying pipe are fixedly embedded in each annular groove. A clearance hole matching the discharge pipe is opened on the pressure-sensing ring. An elliptical protective shell is fixedly connected inside the monitoring box, and a liquid pump connected to the conveying pipe is fixedly connected in the middle of the elliptical protective shell. A liquid passage pipe connected to the liquid pump is fixedly connected to the side wall of the monitoring box, and a descaling agent supply tank is connected to the liquid passage pipe.

[0012] As a further improvement to this application, the discharge tube includes a pressure-resistant tube, a liquid-blocking plate is fixedly connected to the inner wall of the pressure-resistant tube near the opening, and a discharge port is opened in the middle of the liquid-blocking plate. A liquid-closing plug is inserted into the outward-facing port of the discharge port, and multiple symmetrically distributed elastic bands are fixedly connected between the liquid-closing plug and the liquid-blocking plate.

[0013] As a further improvement to this application, the liquid blocking plate is made of electromagnetic material, and the magnetism generated by the liquid blocking plate after being energized produces a repulsive force on the liquid-closing plug.

[0014] As another improvement of this application, the elliptical protective shell includes a rigid shell and an elastic shell, and the elastic shell has a pressure sensor embedded inside it that is connected to the data acquisition module.

[0015] In summary, by adding a scale-sensing tube inside the heat exchanger tube, remote diagnosis of scale formation can be achieved. The pressure difference generated by scale clogging the heat exchanger tube triggers the scale-sensing tube, allowing it to pinpoint the location of the scale. This effectively improves the accuracy of scale diagnosis, facilitating maintenance personnel to take appropriate measures based on the diagnostic results. Furthermore, by introducing a descaling agent inside the scale-sensing tube and releasing it at specific points based on the scale diagnosis, the cleaning agent can be targeted at the locations where scale has formed during the heat exchanger tube cleaning process. This effectively improves the scale removal effect and provides positive assistance to the heat exchanger tube cleaning work. Attached Figure Description

[0016] Figure 1 This is a perspective view of a cooling tower according to the first embodiment of this application; Figure 2 This is a perspective view of a tubular heat exchanger according to the first embodiment of this application; Figure 3 This is a schematic diagram of the scale sensing tube installation according to the first embodiment of this application; Figure 4 Exploded perspective views of the scale sensing tube according to the first and second embodiments of this application; Figure 5 These are cross-sectional views of the monitoring box according to the first and second embodiments of this application; Figure 6 This is a side cross-sectional view of the scale sensing tube according to the first and second embodiments of this application; Figure 7 These are partial cross-sectional views of the pressure-sensing rings according to the first and second embodiments of this application; Figure 8 for Figure 7 Enlarged view of the structure at point A in the middle; Figure 9 This is a cross-sectional view of the elliptical protective shell according to the second embodiment of this application.

[0017] Explanation of the labels in the diagram: 1 Cooling tower body, 2 Tubular heat exchanger, 201 Heat exchange tube, 3 Monitoring box, 4 Scale sensing tube, 401 Pressure resistant tube, 402 Pressure sensing ring, 4021 Elastic outer membrane, 4022 Piezoelectric sensor, 4023 Elastic water-proof mesh, 403 Distributed temperature measuring fiber optic cable, 404 Discharge tube, 4041 Pressure resistant tube, 405 Clearance hole, 406 Delivery tube, 5 Elliptical protective shell, 501 Rigid shell, 502 Elastic shell, 503 Pressure sensor, 6 Liquid pump, 7 Liquid passage pipe, 8 Liquid blocking plate, 801 Liquid outlet, 9 Liquid shut-off plug, 10 Elastic band. Detailed Implementation

[0018] The two embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0019] First implementation method: The system comprises a device sensing layer, a data transmission layer, a cloud computing platform layer, and an application layer. The device sensing layer includes inlet / outlet air temperature sensors installed on the compressor, current / voltage sensors installed on the fan, flow sensors installed on the water pump, humidity sensors installed on the spray system, liquid level sensors installed on the water tank, water pressure sensors installed on the valves, and scale sensing tubes 4 installed on the cooling tower body 1. The data transmission layer includes a data acquisition module, a data filtering module, a data transmission module, and a data caching module. The cloud computing platform layer includes a device access and management module, a big data processing and analysis module, a big data storage module, and an artificial intelligence module. The learning platform's application layer includes a data encryption module, a fault diagnosis module, a fault early warning module, and an autonomous maintenance module (the control logic and specific connection methods of this part of the module are well-known technologies in the relevant field and will not be described in detail here). When remotely diagnosing the cooling tower body 1, the equipment perception layer obtains the operating parameters of the cooling tower body 1 in real time through sensors installed at various locations on the cooling tower body 1. The data transmission layer transmits the obtained parameters to the cloud computing platform layer. The cloud computing platform layer processes, analyzes, and stores the operating parameters. Then, the application layer diagnoses the operating status of the cooling tower body 1 based on the analysis results and provides early warnings for any faults. like Figure 1 , 2As shown in Figure 3, the cooling tower body 1 includes a tubular heat exchanger 2, which includes a heat exchange tube 201 and multiple heat dissipation fins evenly distributed on the heat exchange tube 201. A scale sensing tube 4 is installed throughout the entire heat exchange tube 201, and a support mesh fixedly connected to the inner wall of the heat exchange tube 201 is fixedly fitted onto the scale sensing tube 4 at each bend of the heat exchange tube 201. A monitoring box 3 is fixedly connected to both the inlet and outlet ends of the heat exchange tube 201, and both ends of the scale sensing tube 4 extend into the two monitoring boxes 3 respectively. A data receiver connected to the scale sensing tube 4 is installed inside the monitoring box 3. Furthermore, the data receiver is connected to the data acquisition module. When diagnosing scale inside the heat exchange tube 201, since the scale sensing tube 4 is located inside the heat exchange tube 201, when scale appears in a certain place in the heat exchange tube 201, the scale will cause a certain blockage inside the heat exchange tube 201 at that point, thereby increasing the water pressure. The scale sensing tube 4 senses the formation of scale based on the pressure difference before and after the blockage, and sends the acquired water pressure data to the data acquisition module through the data receiver, so that the cloud computing platform layer can analyze and process it, thereby knowing the scale formation inside the heat exchange tube 201. like Figure 4 , 6As shown in Figure 7, the scale sensing tube 4 includes a pressure-resistant tube 401 (preferably made of polyurethane elastic material, but other materials can be selected according to actual needs). The sidewall of the pressure-resistant tube 401 has multiple equally spaced annular grooves, and each annular groove is fixedly fitted with a pressure-sensing ring 402. The center point of the pressure-sensing ring 402 is aligned with the center point of the heat dissipation fins. Distributed temperature-sensing optical fibers 403 (existing technology; specific installation methods, working principles, and structures are not described in detail here) are fixedly embedded on the sidewalls of two adjacent pressure-sensing rings 402 on the pressure-resistant tube 401. The pressure-sensing ring 402 includes a hollow elastic outer membrane 4021 (preferably made of rubber, but other materials can be selected according to actual needs), a piezoelectric sensor 4022 (specific model selected according to actual needs) fixedly connected to the inner wall of the elastic outer membrane 4021, and an elastic water-resistant mesh 4023 filled between the elastic outer membrane 4021 and the piezoelectric sensor 4022. (Silicone material is preferred, but other materials can be selected according to actual needs.) Since the heat exchange tube 201 is relatively long, and scale tends to form near the heat dissipation fins, the pressure sensing ring 402 is set directly opposite the heat dissipation fins for targeted diagnosis. During diagnosis, if scale forms at a pressure sensing ring 402, it will inevitably block the heat exchange tube 201 at that location, thus increasing the water pressure. The water pressure acts directly on the elastic outer membrane 4021, which in turn presses against the elastic water-proof mesh 4023. The elastic water-proof mesh 4023 receives the pressure change signal, thus diagnosing that scale has formed inside the heat exchange tube 201. In addition, the distributed temperature-measuring fiber optic cable 403 can monitor the temperature at all points of the heat exchange tube 201 throughout the process, thereby understanding the heat exchange efficiency at each point of the heat exchange tube 201, which facilitates the diagnosis of the heat exchange efficiency of the entire tubular heat exchanger 2. Additionally, it should be noted that the diameter of the heat exchange tube 201 on a typical cooling tower is relatively small to achieve efficient heat dissipation. However, in this embodiment, a scale sensing tube 4 is also installed inside the heat exchange tube 201. Considering the manufacturing process of the scale sensing tube 4, its size cannot be too small. In this embodiment, the diameter of the scale sensing tube 4 is 5-10 cm, while the diameter of the heat exchange tube 201 is 10-15 cm. This will not affect the production and use of the scale sensing tube 4. Although the increased diameter of the heat exchange tube 201 may affect the heat exchange efficiency, the scale sensing tube 4 occupies most of the space of the heat exchange tube 201, so the impact on the heat exchange efficiency of the heat exchange tube 201 is relatively small, making it suitable for use in large-scale factory equipment. Compared to existing technologies, this embodiment can directly penetrate into the heat exchange tube 201 to diagnose scale, and the results obtained are more accurate, providing accurate data for subsequent descaling. Moreover, while diagnosing scale, it can also diagnose the temperature at various points in the tubular heat exchanger 2, thereby understanding the heat exchange status at various points in the tubular heat exchanger 2.

[0020] Second implementation method: Based on the first embodiment, this embodiment further improves the scale sensing tube 4 to perform targeted descaling of areas where scale is detected, thereby effectively improving the descaling effect, while the rest remains the same as the first embodiment. like Figure 4 , 5 As shown in Figure 8, a conveying pipe 406 for internal descaling agent flow is fixedly embedded in the middle of the pressure-resistant pipe 401, and multiple dispensing pipes 404 that are simultaneously connected to the conveying pipe 406 are fixedly embedded in each annular groove. A clearance hole 405 matching the dispensing pipe 404 is opened on the pressure-sensing ring 402. An elliptical protective shell 5 is fixedly connected inside the monitoring box 3, and a liquid pump 6 connected to the conveying pipe 406 is fixedly connected in the middle of the elliptical protective shell 5. A liquid passage pipe 7 connected to the liquid pump 6 is fixedly connected to the side wall of the monitoring box 3. Furthermore, the liquid-conducting pipe 7 is connected to a descaling agent supply tank, and the discharge pipe 404 includes a pressure-resistant pipe 4041. A liquid-blocking plate 8 is fixedly connected to the inner wall of the pressure-resistant pipe 4041 near the opening, and a discharge port 801 is opened in the middle of the liquid-blocking plate 8. A liquid-closing plug 9 is inserted into the outward-facing end of the discharge port 801, and multiple symmetrically distributed elastic bands 10 (preferably made of rubber, but other materials can be selected according to actual needs) are fixedly connected between the liquid-closing plug 9 and the liquid-blocking plate 8. The liquid-blocking plate 8 is made of electromagnetic material, and generates an electromagnetic flux when the liquid-blocking plate 8 is energized. The magnetism of the liquid repulses the plug 9. The descaling agent supply tank supplies descaling agent to the delivery pipe 406 through the liquid pipe 7 and the liquid pump 6. Thus, when cleaning the inside of the heat exchange tube 201, after the pressure ring 402 senses the location of the scale, it records this location information. The liquid pump 6 starts to inject descaling agent into the delivery pipe 406. At the same time, cleaning water is introduced into the heat exchange tube 201. The injection pressure of the liquid pump 6 is the same as the injection pressure of the cleaning water inside the heat exchange tube 201. When the descaling agent flows through the sensing... When the pressure ring 402 of the scale is reached, the system first increases the injection pressure of the liquid pump 6, and then activates the liquid blocking plate 8 to generate a magnetic repulsion force on the liquid blocking plug 9, so that the descaling agent is sprayed into the heat exchange tube 201 through the liquid outlet 801. In this way, the descaling agent can act directly on the scale, thereby effectively improving the descaling effect and saving the amount of descaling agent used to avoid waste. Compared with the existing time, it can target the removal of scale. In addition, the contact parts between the liquid blocking plug 9 and the liquid outlet 801 are wrapped with sealing gaskets to ensure sealing. like Figure 9As shown, the elliptical protective shell 5 includes a rigid shell 501 and an elastic shell 502. The elastic shell 502 is embedded with a pressure sensor 503 (the specific model is selected according to actual needs) that is connected to the data acquisition module. Since the two monitoring boxes 3 are installed at the inlet and outlet of the heat exchange tube 201, the two elliptical protective shells 5 will directly sense the water pressure change. The two pressure sensors 503 sense the water pressure change of the heat exchange tube 201 based on the water pressure before and after the inlet and outlet. In this way, the injection pressure of the liquid pump 6 can be dynamically adjusted during the cleaning operation to prevent the water pressure inside the heat exchange tube 201 from being greater than the pressure inside the delivery pipe 406 and causing water to seep in. This embodiment can release cleaning agent at specific locations based on the diagnosis of scale, thereby targeting the locations where scale is generated during the cleaning of heat exchange tube 201, effectively improving the scale treatment effect and playing a positive auxiliary role in the cleaning of heat exchange tube 201.

[0021] In light of current practical needs, the above-described embodiments adopted in this application are not limited to these. Any changes made within the scope of knowledge possessed by those skilled in the art without departing from the concept of this application still fall within the protection scope of this invention.

Claims

1. A cloud computing-based remote diagnostic system for evaporative cooling equipment, characterized in that: The system includes a device sensing layer, a data transmission layer, a cloud computing platform layer, and an application layer. The device sensing layer includes an inlet / outlet air temperature sensor installed on the compressor, a current / voltage sensor installed on the fan, a flow sensor installed on the water pump, a humidity sensor installed on the spray system, a liquid level sensor installed on the water tank, a water pressure sensor installed on the valve, and a scale sensing tube (4) installed on the cooling tower body (1). The data transmission layer includes a data acquisition module, a data filtering module, a data transmission module, and a data caching module. The cloud computing platform layer includes a device access and management module, a big data processing and analysis module, a big data storage module, and an artificial intelligence learning platform. The application layer includes a data encryption module, a fault diagnosis module, a fault early warning module, and an autonomous maintenance module.

2. The cloud computing-based remote diagnostic system for evaporative cooling equipment according to claim 1, characterized in that: The cooling tower body (1) includes a tubular heat exchanger (2), and the tubular heat exchanger (2) includes a heat exchange tube (201) and multiple heat dissipation fins evenly distributed on the heat exchange tube (201). The scale sensing tube (4) is installed through the entire heat exchange tube (201), and the scale sensing tube (4) is fixedly fitted with a support net fixedly connected to the inner wall of the heat exchange tube (201) at each bend of the heat exchange tube (201). The inlet and outlet ends of the heat exchange tube (201) are fixedly connected to a monitoring box (3), and the two ends of the scale sensing tube (4) extend into the two monitoring boxes (3) respectively. The monitoring box (3) is equipped with a data receiver that is connected to the scale sensing tube (4) and is connected to the data acquisition module.

3. The cloud computing-based remote diagnostic system for evaporative cooling equipment according to claim 2, characterized in that: The scale sensing tube (4) includes a pressure-resistant tube (401). The side wall of the pressure-resistant tube (401) has multiple equally spaced annular grooves, and each annular groove is fixedly fitted with a pressure-sensing ring (402). The center point of the pressure-sensing ring (402) is aligned with the center point of the heat dissipation fins. Distributed temperature-sensing optical fibers (403) are fixedly embedded on the side wall of the pressure-resistant tube (401) on two adjacent pressure-sensing rings (402).

4. The cloud computing-based remote diagnostic system for evaporative cooling equipment according to claim 3, characterized in that: The pressure-sensing ring (402) includes a hollow elastic outer membrane (4021), a piezoelectric sensor (4022) fixedly connected to the inner wall of the elastic outer membrane (4021), and an elastic water-proof mesh (4023) filled between the elastic outer membrane (4021) and the piezoelectric sensor (4022).

5. The cloud computing-based remote diagnostic system for evaporative cooling equipment according to claim 3, characterized in that: The pressure-resistant pipe (401) is also fixedly embedded in the middle of a conveying pipe (406) for internal descaling agent flow, and each annular groove is fixedly embedded with multiple discharge pipes (404) that are simultaneously connected to the conveying pipe (406). The pressure-sensing ring (402) is provided with a clearance hole (405) that matches the discharge pipe (404). The monitoring box (3) is also fixedly connected to an elliptical protective shell (5), and the middle of the elliptical protective shell (5) is fixedly connected to a liquid pump (6) that is connected to the conveying pipe (406). The side wall of the monitoring box (3) is fixedly connected to a liquid pipe (7) that is connected to the liquid pump (6), and the liquid pipe (7) is connected to a descaling agent supply tank.

6. The cloud computing-based remote diagnostic system for evaporative cooling equipment according to claim 5, characterized in that: The discharge tube (404) includes a pressure-resistant tube (4041). A liquid-blocking plate (8) is fixedly connected to the inner wall of the pressure-resistant tube (4041) near the opening. A discharge port (801) is opened in the middle of the liquid-blocking plate (8). A liquid-closing plug (9) is inserted into the outward-facing port of the discharge port (801). A plurality of symmetrically distributed elastic bands (10) are fixedly connected between the liquid-closing plug (9) and the liquid-blocking plate (8).

7. The cloud computing-based remote diagnostic system for evaporative cooling equipment according to claim 6, characterized in that: The liquid blocking plate (8) is made of electromagnetic material, and the magnetism generated by the liquid blocking plate (8) after being energized generates a repulsive force on the liquid blocking plug (9).

8. The cloud computing-based remote diagnostic system for evaporative cooling equipment according to claim 1, characterized in that: The elliptical protective shell (5) includes a rigid shell (501) and an elastic shell (502), and a pressure sensor (503) that is connected to the data acquisition module is embedded inside the elastic shell (502).

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