Central water supply and return system and equipment based on ceramic membrane reflux filtration

Abstract

The invention discloses a central water supply and return system and equipment based on ceramic membrane reflux filtration, and belongs to the technical field of water supply system control. The problems that an existing method cannot have the functions of drinking water sterilization, pipe network self-cleaning, backflow filtering, water quality monitoring and pipeline water pressure detection at the same time, and the water pressure detection cost is high are solved. The water supply system integrates the ceramic membrane filtration module, the water quality monitoring module, the sterilization module, the mineralization module, the pipe network cleaning module, the water pressure detection module and the pipe explosion early warning module, so that the system integrates multiple functions. Moreover, by performing correlation analysis on the water pressure of each node, a representative node can be selected to perform water pressure monitoring, and a pressure sensor does not need to be arranged at each node, so that the deployment number of the pressure sensors is greatly reduced, and the structure of a water pressure detection system is simplified. The method can be applied to a water supply and return system.

Description

Technical Field

[0001] This invention belongs to the field of water supply system control technology, specifically relating to a central water supply and return system and equipment based on ceramic membrane reflux filtration. Background Technology

[0002] With the continuous development of society and the economy, people's pursuit of quality of life is getting higher and higher. As one of the important urban infrastructures, the central water supply and return system is responsible for delivering tap water to users, ensuring the safe and reliable delivery of purified drinking water to each user. Therefore, a well-functioning central water supply and return system can provide urban residents with more reliable and convenient drinking water, increasing people's well-being and effectively safeguarding drinking water safety. With the acceleration of urbanization in my country, the scale of central water supply and return systems is constantly expanding, and the water quality safety risks of these systems are also increasing significantly, making the transformation and upgrading of the water supply and return system urgently needed.

[0003] Due to the complex structure and inherent vulnerability of water supply and return systems, they are susceptible to internal or external threats that can lead to water quality problems. For example, aging or damaged pipes can allow external contaminants to seep in; surrounding industrial activities and agricultural production may pollute water sources or supply pipelines. The safety of residents' daily water supply faces a severe test, making the optimized design of water quality monitoring systems of significant practical importance. By monitoring the water quality parameters of the supply and return water system pipelines, it is possible to confirm whether the water quality meets the national drinking water standards. Water quality monitoring can promptly detect substandard water quality within the supply and return water system network, allowing for appropriate treatment measures to prevent the spread of pollution, protect water quality safety, and provide residents with safe and reliable drinking water.

[0004] Meanwhile, maintaining appropriate water pressure within the supply and return water system is crucial for ensuring normal water usage for users. Low water pressure leads to insufficient water flow at the user's end, potentially failing to meet basic domestic water needs; for example, residents in high-rise buildings may experience water shortages due to insufficient pressure. Conversely, excessively high water pressure can damage pipes and water-using equipment, causing leaks in faucets and pipe joints. Therefore, to prevent serious accidents such as pipe ruptures and leaks due to pressure during normal operation, it is necessary to monitor the water pressure at each pipe node within the supply and return water system. When abnormal water pressure readings are detected, the water pressure within the supply and return water system can be adjusted promptly to ensure that the water pressure in each pipe remains stable within a reasonable range, thus guaranteeing the quality of the water supply.

[0005] However, existing methods require the deployment of pressure sensors at every pipe node in the supply and return water system for water pressure testing, and the large-scale deployment of sensors leads to high costs for water pressure testing. Moreover, existing central supply and return water systems do not simultaneously possess functions such as drinking water disinfection, pipe network self-cleaning, return filtration, water quality monitoring, and pipe water pressure testing.

[0006] In summary, to address the current problem that existing methods cannot simultaneously provide drinking water disinfection, pipeline self-cleaning, reflux filtration, water quality monitoring, and pipeline water pressure testing, and that water pressure testing is costly, it is urgent to propose a comprehensive water supply and return system. Summary of the Invention

[0007] The purpose of this invention is to solve the problems that existing methods cannot simultaneously possess the functions of drinking water disinfection, pipeline self-cleaning, reflux filtration, water quality monitoring and pipeline water pressure testing, as well as the high cost of water pressure testing. Therefore, this invention proposes a central water supply and return system and equipment based on ceramic membrane reflux filtration.

[0008] The technical solution adopted by the present invention to solve the above-mentioned technical problems is: a central water supply and return system based on ceramic membrane reflux filtration, wherein the system is equipped with a water supply module, a pipe network cleaning module, a water pressure detection module and a pipe burst early warning module;

[0009] The water supply module is used to supply water from the clean water tank to the user terminal.

[0010] The pipeline cleaning module is used to clean the system's pipelines periodically;

[0011] The water pressure detection module is a pressure sensor deployed on each pipe network of the system. The pressure sensor is used to detect the water pressure of each water supply pipe in the system. When the water pressure is abnormal, the pipe burst early warning module is used to issue an early warning.

[0012] The system's return water pipe is also equipped with a ceramic membrane filtration module, a water quality monitoring module, a disinfection module, and a mineralization module.

[0013] The inlet of the ceramic membrane filtration module is connected to the return water pipe. Under the action of the water pump, the water in the return water pipe is filtered through the ceramic membrane filtration module. The water filtered by the ceramic membrane filtration module passes through the water quality monitoring module, the disinfection module and the mineralization module in sequence, and finally flows into the clean water tank.

[0014] Furthermore, the system prohibits user terminals from drawing water during pipeline cleaning.

[0015] Furthermore, the water quality monitoring module uses sensors to monitor water quality parameters in each pipe in real time, including pH, conductivity, TDS, residual chlorine, turbidity, and particle count.

[0016] Furthermore, the disinfection module uses chlorine dioxide, chlorine gas, ultraviolet light, or ozone to disinfect the water.

[0017] Furthermore, the mineralization module is equipped with a mineralization filter element for adding minerals to the water.

[0018] Furthermore, the water pressure detection module includes several pressure sensors, and the method for planning the distribution of the pressure sensors is as follows:

[0019] Step 1: Record the number of nodes in the pipeline network as... ,Will The water pressure at each node under the current network condition is denoted as follows: After changing the pipeline status, The water pressure at each node under the new pipeline network condition is denoted as follows: ;

[0020] Then calculate the first based on the water pressure change. The node and the first Water pressure correlation of each node And obtain the water pressure correlation matrix;

[0021] Step 2: Analyze the water pressure correlation matrix. After standardization, the standardized water pressure correlation matrix is ​​obtained. ;

[0022] Step 3: Based on the standardized water pressure correlation matrix Calculate matrix :

[0023] Step 4: Based on the matrix The results of the pressure sensor distribution planning were obtained.

[0024] Furthermore, the calculation based on water pressure changes... The node and the first Water pressure correlation of each node Specifically:

[0025]

[0026] in, ;

[0027] Then the water pressure correlation matrix for:

[0028]

[0029] Furthermore, the specific process of step 2 is as follows:

[0030]

[0031] Standardized water pressure correlation matrix The Middle Line number Column elements for:

[0032]

[0033] in, Represents the water pressure correlation matrix The Middle The mean of the row elements;

[0034] Represents the water pressure correlation matrix The Middle Standard deviation of row elements.

[0035] Furthermore, the specific process of step 3 is as follows:

[0036]

[0037] matrix The Middle Line number Column elements for:

[0038] ;

[0039] in, .

[0040] Furthermore, the specific process of step 4 is as follows:

[0041] Step 41: Initialize the matrix Set threshold ;

[0042] Step 42: Initialize the number of iterations ;

[0043] Step 43: Calculate the matrix separately Each column contains values ​​less than the threshold The number of elements, will the first element Columns less than the threshold The number of elements is denoted as Then select The column corresponding to the largest number in the data will be selected. The corresponding number Each node serves as a monitoring node;

[0044] Select the columns and the columns containing values ​​less than the threshold. The rows containing the elements of the matrix The deletion yields the updated matrix. ;

[0045] Step 44: Determine the matrix Does it contain elements less than the threshold? Element;

[0046] If matrix There are values ​​less than the threshold. The element, then let Return to step 43;

[0047] If matrix There is no value less than the threshold. The elements will then be the matrix. The remaining rows All corresponding nodes are used as monitoring nodes, and then step 45 is executed;

[0048] Step 45: Deploy pressure sensors at all monitoring nodes identified throughout the iteration process to complete the distribution planning of pressure sensors.

[0049] A central water supply and return system based on ceramic membrane reflux filtration is disclosed. The system includes a processor and a memory. The memory stores at least one instruction, which is loaded by the processor and runs the central water supply and return system based on ceramic membrane reflux filtration.

[0050] The beneficial effects of this invention are:

[0051] The system of this invention simultaneously possesses functions such as pipeline cleaning, water pressure detection, pipe burst early warning, filtration, water quality monitoring, disinfection, and mineralization, solving the problem that existing systems cannot simultaneously perform drinking water disinfection, pipeline self-cleaning, backflow filtration, water quality monitoring, and pipeline water pressure detection. Furthermore, the method of this invention, through correlation analysis of water pressure at various nodes, can select representative nodes for water pressure monitoring, eliminating the need to deploy pressure sensors at every node. This significantly reduces the number of pressure sensors required, simplifies the structure of the water pressure detection system, and greatly reduces the cost of water pressure detection. Attached Figure Description

[0052] Figure 1 This is a framework diagram of a central water supply and return system based on ceramic membrane reflux filtration according to the present invention.

[0053] Figure 2 This is a flowchart of the pressure sensor distribution planning method. Detailed Implementation

[0054] Specific implementation method one: Combining Figure 1 This embodiment describes a central water supply and return system based on ceramic membrane reflux filtration. The system includes a water supply module, a pipe network cleaning module, a water pressure detection module, and a pipe burst early warning module.

[0055] The water supply module is used to input water from the clean water tank to the user terminal. In the actual water supply process, the water pump in the water supply module generates a pressure difference through the rotation of the impeller, and pumps water from the clean water tank into the water supply network. The power and head of the water pump are matched with the network resistance and the delivery distance.

[0056] The pipeline cleaning module is used to clean the pipelines of the system regularly. The cleaning method of the pipelines in the water supply network needs to be selected according to the pipeline material and system scale. Common physical cleaning methods include high-pressure water flushing, mechanical scraping, pipeline cleaning with a pig, and air-water mixed flushing. Common chemical cleaning methods include chemical cleaning and disinfectant cleaning. A combination of physical and chemical cleaning methods can also be used.

[0057] The water pressure detection module is a pressure sensor deployed on each pipe network of the system. The pressure sensor is used to detect the water pressure of each water supply pipe in the system. When the water pressure is abnormal, the pipe burst early warning module is used to issue an early warning.

[0058] This invention defines that when the water pressure at a certain monitoring node suddenly drops and continues for a period of time, or when the water pressure remains high and does not drop, when the monitoring node shows abnormal water pressure, the pipe burst early warning module issues an early warning, the water supply system remotely shuts down the valve, and after the pipe burst early warning is handled, the normal water supply to the user is restored.

[0059] The system's return water pipe is equipped with a ceramic membrane filtration module, a water quality monitoring module, a disinfection module, and a mineralization module.

[0060] The inlet of the ceramic membrane filtration module is connected to the return water pipe. Under the action of the water pump, the water in the return water pipe is processed through the ceramic membrane filtration module. After being filtered by the ceramic membrane filtration module, the water passes through the water quality monitoring module, the disinfection module and the mineralization module in sequence, and finally flows into the clean water tank.

[0061] The ceramic membrane filtration module of this invention is a porous membrane component prepared using ceramic materials as the substrate. Due to its high temperature resistance, strong chemical stability, and high mechanical strength, it can be applied in the field of water treatment. The ceramic membrane filtration module consists of a support, a transition layer, and a separation layer. The support is mostly honeycomb porous ceramic, providing mechanical strength and responsible for initial filtration and support. The transition layer is located between the support and the separation layer, reducing defects during the preparation of the separation layer and improving the membrane uniformity. The separation layer is a porous thin film with a porous surface, used to achieve precise filtration. The support, transition layer, and separation layer are modularly encapsulated, and both ends of the encapsulated ceramic membrane filtration module are sealed.

[0062] The central water supply and return system of this invention can integrate an expert monitoring platform, enabling remote real-time monitoring of equipment operating status and remote operation control. It possesses functions such as real-time monitoring, fault diagnosis, and health assessment, improving equipment operational reliability and maintenance efficiency. Furthermore, the system can also integrate a water supply and return volume monitoring module to monitor water consumption and facilitate water volume verification with terminal water meters.

[0063] Specific Implementation Method Two: This implementation method differs from Specific Implementation Method One in that the system prohibits user terminals from taking water during pipeline cleaning.

[0064] The other steps and parameters are the same as in Specific Implementation Method 1.

[0065] Specific Implementation Method 3: This implementation method differs from Specific Implementation Method 1 or 2 in that the water quality monitoring module uses sensors to monitor the water quality parameters in each pipeline in real time. The water quality parameters include pH, conductivity, TDS (total dissolved solids), residual chlorine, turbidity, and particle count.

[0066] Other steps and parameters are the same as in specific implementation method one or two.

[0067] Specific Implementation Method Four: This implementation method differs from Specific Implementation Methods One to Three in that the disinfection module uses chlorine dioxide, chlorine gas, ultraviolet light, or ozone to disinfect the water.

[0068] The other steps and parameters are the same as those in one of the specific implementation methods one to three.

[0069] Specific Implementation Method 5: This implementation method differs from Specific Implementation Methods 1 to 4 in that the mineralization module is equipped with a mineralization filter element for adding minerals to the water.

[0070] The other steps and parameters are the same as those in one of the specific implementation methods one to four.

[0071] This improves the quality of drinking water and enhances its taste, making it sweeter and more natural.

[0072] Specific Implementation Method Six: Combination Figure 2 This embodiment is described below. The difference between this embodiment and any one of embodiments one through five is that the water pressure detection module includes several pressure sensors, and the method for planning the distribution of these pressure sensors is as follows:

[0073] Step 1: Record the number of nodes in the pipeline network as... (This invention abstracts each pipeline network as a node. If a node is a monitoring node, a pressure sensor is deployed within the pipeline network corresponding to the monitoring node.) The water pressure at each node under the current network condition is denoted as follows: After changing the pipeline status (by adjusting the pipeline pressure within the pipeline network at the water supply end), The water pressure at each node under the new pipeline network condition is denoted as follows: ;

[0074] Then calculate the first based on the water pressure change. The node and the first Water pressure correlation of each node And obtain the water pressure correlation matrix;

[0075] Step 2: Analyze the water pressure correlation matrix. After standardization, the standardized water pressure correlation matrix is ​​obtained. ;

[0076] Step 3: Based on the standardized water pressure correlation matrix Calculate matrix :

[0077] Step 4: Based on the matrix The results of the pressure sensor distribution planning were obtained.

[0078] The other steps and parameters are the same as those in one of the specific implementation methods one to five.

[0079] Specific Implementation Method Seven: This implementation method differs from Specific Implementation Methods One through Six in that the calculation based on water pressure changes... The node and the first Water pressure correlation of each node Specifically:

[0080]

[0081] in, ;

[0082] Then the water pressure correlation matrix for:

[0083]

[0084] The other steps and parameters are the same as those in one of the specific implementation methods one to six.

[0085] This implementation method, based on the changes in the pipeline network status, [is as follows:] the first... The rate of change of water pressure at the first node and the first The rate of change of water pressure at node n determines the first The node and the first The water pressure correlation of nodes is considered in this invention because the rate of change of water pressure can reflect the sensitivity of nodes to changes in system water pressure. Therefore, this invention proposes that nodes with similar rates of change of water pressure have a greater water pressure correlation.

[0086] Specific Implementation Method Eight: This implementation method differs from Specific Implementation Methods One to Seven in that the specific process of step 2 is as follows:

[0087]

[0088] Standardized water pressure correlation matrix The Middle Line number Column elements for:

[0089]

[0090] in, Represents the water pressure correlation matrix The Middle The mean of the row elements;

[0091] Represents the water pressure correlation matrix The Middle Standard deviation of row elements.

[0092] The other steps and parameters are the same as those in any of the specific implementation methods one to seven.

[0093] Specific Implementation Method Nine: This implementation method differs from Specific Implementation Methods One to Eight in that the specific process of step 3 is as follows:

[0094]

[0095] matrix The Middle Line number Column elements for:

[0096] ;

[0097] in, .

[0098] The other steps and parameters are the same as those in one of the specific implementation methods one to eight.

[0099] Specific Implementation Method Ten: This implementation method differs from Specific Implementation Methods One to Nine in that the specific process of step 4 is as follows:

[0100] Step 41: Initialize the matrix Set threshold ;

[0101] Step 42: Initialize the number of iterations ;

[0102] Step 43: Calculate the matrix separately Each column contains values ​​less than the threshold The number of elements, will the first element Columns less than the threshold The number of elements is denoted as Then select The column corresponding to the largest number in the data will be selected. The corresponding number Each node serves as a monitoring node;

[0103] Select the columns and the columns containing values ​​less than the threshold. The rows containing the elements of the matrix The deletion yields the updated matrix. ;

[0104] Step 44: Determine the matrix Does it contain elements less than the threshold? Element;

[0105] If matrix There are values ​​less than the threshold. The element, then let Return to step 43;

[0106] If matrix There is no value less than the threshold. The elements will then be the matrix. The remaining rows All corresponding nodes are used as monitoring nodes, and then step 45 is executed;

[0107] Step 45: Deploy pressure sensors at all monitoring nodes identified throughout the iteration process to complete the distribution planning of pressure sensors.

[0108] The other steps and parameters are the same as those in any of the specific implementation methods one to nine.

[0109] For the first in the matrix For example, the first Columns less than the threshold The more elements there are, the more related it is to the first... The more nodes with a high correlation to water pressure, the more likely the number of nodes can be increased. Each node serves as a monitoring node. This invention, through correlation analysis of the water pressure at each node, allows for the selection of representative nodes for water pressure monitoring, eliminating the need to deploy pressure sensors in the pipes corresponding to each node. This significantly simplifies the system structure and reduces the deployment cost of the water pressure detection module. For pipes without deployed pressure sensors, water pressure changes can be observed through changes in other representative pipes, achieving a point-to-area monitoring effect and greatly reducing the cost of water pressure detection.

[0110] Specific Implementation Method Eleven: This implementation method is a central water supply and return device based on ceramic membrane reflux filtration. The device includes a processor and a memory. It should be understood that this includes any device described in this invention that includes a processor and a memory. The device may also include other units and modules that perform display, interaction, processing, control, and other functions through signals or instructions.

[0111] The central water supply and return device based on ceramic membrane reflux filtration described in this embodiment includes a processor and a memory. The memory stores at least one instruction, which is loaded and executed by the processor.

[0112] It should be understood that computer memory may include readable media on which instructions are stored, including but not limited to magnetic memory, optical memory; magnetic and optical memory include read-only memory (ROM), random access memory (RAM), erasable programmable memory (e.g., EPROM and EEPROM) and flash memory layers, or other types of media suitable for storing electronic instructions.

[0113] The above examples of the present invention are merely illustrative of the computational model and process of the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is impossible to exhaustively list all possible implementations here. Any obvious variations or modifications derived from the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A central water supply and return system based on ceramic membrane recirculation filtration, characterized in that, The system is equipped with a water supply module, a pipeline cleaning module, a water pressure detection module, and a pipe burst early warning module. The water supply module is used to supply water from the clean water tank to the user terminal. The pipeline cleaning module is used to clean the system's pipelines periodically; The water pressure detection module is a pressure sensor deployed on each pipe network of the system. The pressure sensor is used to detect the water pressure of each water supply pipe in the system. When the water pressure is abnormal, the pipe burst early warning module is used to issue an early warning. The system's return water pipe is also equipped with a ceramic membrane filtration module, a water quality monitoring module, a disinfection module, and a mineralization module. The inlet of the ceramic membrane filtration module is connected to the return water pipe. Under the action of the water pump, the water in the return water pipe is filtered through the ceramic membrane filtration module. The water filtered by the ceramic membrane filtration module passes through the water quality monitoring module, the disinfection module and the mineralization module in sequence, and finally flows into the clean water tank.

2. A central water supply and return system based on ceramic membrane reflux filtration according to claim 1, characterized in that, The system prohibits user terminals from drawing water during pipeline cleaning.

3. A central water supply and return system based on ceramic membrane reflux filtration according to claim 1, characterized in that, The water quality monitoring module uses sensors to monitor water quality parameters in each pipeline in real time. These water quality parameters include pH, conductivity, TDS, residual chlorine, turbidity, and particle count.

4. A central water supply and return system based on ceramic membrane reflux filtration according to claim 1, characterized in that, The disinfection module uses chlorine dioxide, chlorine gas, ultraviolet light, or ozone to disinfect water.

5. A central water supply and return system based on ceramic membrane reflux filtration according to claim 1, characterized in that, The mineralization module is equipped with a mineralization filter element for adding minerals to the water.

6. A central water supply and return system based on ceramic membrane reflux filtration according to claim 1, characterized in that, The water pressure detection module includes several pressure sensors, and the distribution of these pressure sensors is planned as follows: Step 1: Record the number of nodes in the pipeline network as... ,Will The water pressure at each node under the current network condition is denoted as follows: After changing the pipeline status, The water pressure at each node under the new pipeline network condition is denoted as follows: ; Then calculate the first based on the water pressure change. The node and the first Water pressure correlation of each node And obtain the water pressure correlation matrix; Step 2: Analyze the water pressure correlation matrix. After standardization, the standardized water pressure correlation matrix is ​​obtained. ; The specific process of step 2 is as follows: Standardized water pressure correlation matrix The Middle Line number Column elements for: in, Represents the water pressure correlation matrix The Middle The mean of the row elements; Represents the water pressure correlation matrix The Middle Standard deviation of row elements; Step 3: Based on the standardized water pressure correlation matrix Calculate matrix : Step 4: Based on the matrix The results of the pressure sensor distribution planning were obtained.

7. A central water supply and return system based on ceramic membrane reflux filtration according to claim 6, characterized in that, The calculation based on water pressure change The node and the first Water pressure correlation of each node Specifically: in, ; Then the water pressure correlation matrix for:

8. A central water supply and return system based on ceramic membrane reflux filtration according to claim 7, characterized in that, The specific process of step 3 is as follows: matrix The Middle Line number Column elements for: ； in, .

9. A central water supply and return system based on ceramic membrane reflux filtration according to claim 8, characterized in that, The specific process of step 4 is as follows: Step 41: Initialize the matrix Set threshold ; Step 42: Initialize the number of iterations ; Step 43: Calculate the matrix separately Each column contains values ​​less than the threshold The number of elements, will the first element Columns less than the threshold The number of elements is denoted as Then select The column corresponding to the largest number in the data will be selected. The corresponding number Each node serves as a monitoring node; Select the columns and the columns containing values ​​less than the threshold. The rows containing the elements of the matrix The deletion yields the updated matrix. ; Step 44: Determine the matrix Does it contain elements less than the threshold? Element; If matrix There are values ​​less than the threshold. The element, then let Return to step 43; If matrix There is no value less than the threshold. The elements will then be the matrix. The remaining rows All corresponding nodes are used as monitoring nodes, and then step 45 is executed; Step 45: Deploy pressure sensors at all monitoring nodes identified throughout the iteration process to complete the distribution planning of pressure sensors.

10. A central water supply and return system based on ceramic membrane reflux filtration, characterized in that, The device includes a processor and a memory, the memory storing at least one instruction, which is loaded by the processor and executed as described in claim 1, a central water supply and return system based on ceramic membrane reflux filtration.

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