An activated carbon filter element device and an intelligent filtering system having the same

Abstract

The application discloses an activated carbon filter element device and an intelligent filtering system with the same, and belongs to the technical field of water treatment. The activated carbon filter element device and the intelligent filtering system with the same have the advantages that the filtering efficiency is improved, and the continuity and stability of a production line are ensured.

Description

Technical Field

[0001] This invention relates to the field of filtration technology, and more specifically, to an activated carbon filter element device and an intelligent filtration system having the filter element device, relating to water pollution treatment under the classification number C02F. Background Technology

[0002] In high-end industrial fluid continuous manufacturing fields such as electronic-grade basic solvent purification, high-purity fine chemical purification, and hydrometallurgy, the consistency of fluid purity and the continuity of the production process are crucial to ensuring the yield of the final product. Activated carbon filtration systems are widely used as core impurity removal equipment.

[0003] However, traditional activated carbon filtration systems with multiple filter elements have the following significant drawbacks in actual operation, making it difficult to meet the requirements of high-end continuous manufacturing.

[0004] First, traditional filter array devices suffer from severe flow deviation and localized clogging blind spots. Water flow distribution typically relies on simple physical manifolds, which cannot be dynamically adjusted based on the concentration of impurities in the feed solution; the system can only indirectly judge the overall purification effect by monitoring the total inlet and outlet water pressure difference. When some filter elements in the array are severely clogged while others are running idle, the total pressure difference may not trigger an alarm, leading to the penetration of inferior fluid and significant fluctuations in product purity.

[0005] Secondly, there is a lack of effective online methods for unclogging localized blockages. Before the overall backwash threshold is reached, existing localized blockages can only be addressed passively, leading to a shortened overall lifespan of the filter element.

[0006] Third, the system has low fault tolerance and lacks a continuous assurance mechanism. Under harsh industrial conditions, pressure or impurity sensors are prone to signal loss or data drift. Once a sensor fails in a traditional system, the control logic will be paralyzed, leading to the accidental switching to the backup system or forced shutdown for maintenance, resulting in huge waste of production capacity and scrapped materials.

[0007] Therefore, the existing technology has problems and needs further improvement and development. Summary of the Invention

[0008] (I) Purpose of the invention: In order to solve the problems existing in the prior art, the purpose of the present invention is to provide an activated carbon filter element device and an intelligent filtration system having the filter element device.

[0009] (II) Technical Solution: In order to solve the above-mentioned technical problems, this technical solution provides an activated carbon filter element device, including a filter element shell, a filter element array, a flow guiding structure and a connection sealing assembly;

[0010] The filter element array is disposed inside the filter element housing and is composed of multiple tubular activated carbon filter elements arranged in parallel.

[0011] The flow guiding structure is located at the water inlet end of the filter element shell and is used to guide the liquid entering the filter element shell so that it flows to the parallel array of filter elements in a spiral wall-adhering manner, so that the liquid is evenly distributed to the outside of each activated carbon filter element.

[0012] The connection sealing assembly is disposed at the end of a single activated carbon filter element, and is used to detachably connect the activated carbon filter element to the filter element housing.

[0013] The activated carbon filter element device is described above, wherein the activated carbon filter element is formed by pressing coal-modified activated carbon, coconut shell activated carbon, or fruit shell activated carbon; the filter layer thickness of the activated carbon filter element is 30mm to 100mm, and the proportion of mesopores is greater than or equal to 60%; the feed liquid is suitable for passing through the activated carbon filter element from the outside to the inside, intercepting particulate matter to the outside of the activated carbon filter element, and the activated carbon filter element adsorbs soluble impurities.

[0014] The activated carbon filter element device includes 3 to 8 activated carbon filter elements in the filter element array; the activated carbon filter elements are arranged in a parallel array in a horizontal or vertical manner inside the filter element housing.

[0015] The activated carbon filter element device includes a flow guiding structure comprising a spiral flow guiding blade disposed at the water inlet end of the filter element housing; the spiral flow guiding blade is used to extend the water flow path to avoid the water flow directly impacting the activated carbon filter element, causing damage or short circuit to the activated carbon filter element.

[0016] An intelligent filtration system with an activated carbon filter element includes an activated carbon filter element, a fluid drive unit, a detection unit, and a control unit, wherein the control unit is connected to the fluid drive unit and the detection unit respectively.

[0017] The activated carbon filter element device includes a filter element shell, a filter element array disposed within the filter element shell, a flow guiding structure disposed at the water inlet end, and a connecting sealing assembly; the filter element array is composed of multiple tubular activated carbon filter elements arranged in parallel.

[0018] The fluid drive unit includes a pressurization device disposed at the water inlet end of the activated carbon filter element device, which is used to drive the feed liquid into the activated carbon filter element device and adjust the water flow rate of the feed liquid.

[0019] The detection unit includes a first detection device and a second detection device respectively disposed at the inlet and outlet of the activated carbon filter element device. The first detection device is used to detect impurities at the inlet and outlet of the activated carbon filter element device and obtain impurity data. The second detection device is used to detect the pressure at the inlet and outlet of the activated carbon filter element device and obtain pressure data.

[0020] The control unit receives real-time impurity data detected by the first detection device, adjusts the pressurization amount of the booster device according to the real-time initial impurity data at the inlet, and changes the water flow rate and contact time of the liquid in the activated carbon filter device; when the second detection device detects that the pressure difference between the inlet and outlet reaches a preset saturation threshold, it switches to the standby activated carbon filter device and starts the backwashing process.

[0021] The intelligent filtration system with an activated carbon filter element includes a control unit comprising a buried point mapping module and a compensation module.

[0022] The embedded mapping module assigns hierarchical semantic tags to the fluid drive unit, the activated carbon filter element device, and each detection device to construct a virtual mapping network; the semantic tags include at least device type identifiers, spatial physical coordinate identifiers, and fluid topology relationship identifiers.

[0023] The compensation module monitors the data status of the first and second detection devices in real time. When it is determined that either detection device has a signal loss or data abnormality, the embedded point mapping module parses the semantic tag of the faulty detection device in the virtual mapping network and addresses and matches a replacement hardware node that is on the same fluid path and has not experienced a fault, based on the fluid topology relationship identifier.

[0024] The compensation module extracts the real-time monitoring data and operating electrical parameters of the alternative hardware node, substitutes them into a preset compensation algorithm for fluid dynamics reverse deduction, reconstructs missing or abnormal impurity data or missing or abnormal pressure data, and generates compensation data; during the failure of the detection device, the control unit uses the compensation data to maintain the adjustment of the pressurization amount of the pressurization device and the switching determination of the backwashing process.

[0025] In the aforementioned intelligent filtration system with an activated carbon filter element, when a malfunction in the second detection device leads to a loss of outlet pressure data, the specific process by which the control unit extracts alternative node data based on semantic embedding points and generates compensatory data is as follows:

[0026] The embedded point mapping module parses the semantic tag of the second detection device that has malfunctioned, which contains the water outlet attribute. It then traverses upstream along the fluid topology relationship identifier of the virtual mapping network and matches the booster device whose semantic tag contains the fluid drive attribute as a replacement hardware node.

[0027] The compensation module extracts the real-time operating frequency and motor stator current of the booster device and converts them into real-time pipeline flow rate Q; combined with the current dynamic resistance coefficient K of the filter array extracted from the system's historical operating trend data, it uses the fluid dynamics resistance equation ΔP=K×Q2 The theoretical pressure drop was calculated and used as compensation data for the outlet pressure.

[0028] In the aforementioned intelligent filtration system with an activated carbon filter element, when the first detection device malfunctions, resulting in missing impurity data, the specific process by which the control unit generates compensatory data is as follows:

[0029] The embedding point mapping module matches the second detection device that has not experienced a fault as a replacement hardware node;

[0030] The compensation module acquires the differential pressure data monitored in real time by the second detection device, calculates the differential pressure change rate within the current time window, extracts the benchmark impurity load corresponding to the same differential pressure change rate from historical data, performs viscosity compensation correction on the benchmark impurity load based on the current temperature parameters of the feed liquid, deduces the real-time impurity content at the current inlet and outlet water ends, and generates compensation data for impurity data.

[0031] The intelligent filtration system with an activated carbon filter element, wherein the control unit is equipped with a topology mapping module and a decision module;

[0032] The topology mapping module constructs a virtual topology network model based on the physical spatial arrangement information of each activated carbon filter element in the filter element array and the hydraulic distribution characteristics of the flow guiding structure.

[0033] The control unit uses the virtual topology network model to map the operation monitoring data obtained by the detection unit to the internal space of the filter array, and calculates the local operating state of each activated carbon filter in the filter array to quantify the non-uniform distribution characteristics inside the activated carbon filter device.

[0034] Based on the non-uniform distribution characteristics, the decision module adjusts the control parameters of the fluid drive unit or determines the maintenance and switching time of the activated carbon filter device.

[0035] The intelligent filtration system with an activated carbon filter element, wherein the specific process of the topology mapping module constructing the virtual topology network model includes:

[0036] The topology mapping module maps the flow guiding structure into an inlet water distribution network model that characterizes the flow distribution path, and independently maps each activated carbon filter element in the filter element array into a single tube computing node.

[0037] The topology mapping module extracts the three-dimensional coordinates of each activated carbon filter element inside the filter element shell, and calculates the fluid friction resistance value of the water flow from the inlet end to each of the single-pipe computing nodes by combining the structural parameters of the flow guiding structure, and constructs the hydraulic path connecting the water inlet distribution network model and each of the single-pipe computing nodes.

[0038] In the aforementioned intelligent filtration system with an activated carbon filter element, the local operating state parameters include the flow rate and pressure drop of a single filter element; the specific process by which the control unit derives these local operating state parameters is as follows:

[0039] The control unit acquires the overall inlet flow rate and overall inlet-outlet pressure difference of the activated carbon filter device, which are monitored in real time by the detection unit.

[0040] The control unit calculates the flow rate based on the overall inlet flow rate and the overall inlet-outlet pressure difference. It then performs flow rate distribution calculations according to the proportion of the fluid friction resistance values ​​along each hydraulic path to obtain the theoretical flow rate of a single filter element flowing through each single-pipe calculation node, and further calculates the corresponding theoretical pressure drop of a single filter element.

[0041] In the aforementioned intelligent filtration system with an activated carbon filter element, the control unit quantifies the non-uniform distribution characteristics, specifically including:

[0042] The control unit summarizes the theoretical single filter element pressure drop data of all single tube calculation nodes in each sampling period;

[0043] The control unit calculates the dispersion value between the theoretical single filter element pressure drop values ​​of all single-pipe calculation nodes, and uses the dispersion value as a non-uniform distribution characteristic quantity to quantitatively evaluate whether the water flow distribution inside the filter element array is uniform and whether the degree of blockage of each filter element is consistent.

[0044] (III) Beneficial Effects: This invention provides an activated carbon filter element device and an intelligent filtration system incorporating the device. The activated carbon filter element device improves the flow field distribution and enhances filtration efficiency. The intelligent filtration system enables uninterrupted continuous production under hardware failure conditions, and the data reconstruction based on physical mechanisms ensures the continuity and stability of the production line. The use of discreteness values ​​as a non-uniform distribution characteristic quantity provides precise digital basis for subsequent intelligent control. The establishment of a two-dimensional safety boundary curve prevents fluid contamination accidents caused by localized filter element puncture. Attached Figure Description

[0045] Figure 1 This is a schematic diagram of the internal structure of an activated carbon filter element device according to the present invention;

[0046] Figure 2This is a schematic diagram of the cross-section of the activated carbon filter array in the activated carbon filter device of the present invention;

[0047] Figure 3 This is a schematic diagram of the filter layer of the activated carbon filter element in the activated carbon filter element device of the present invention;

[0048] Figure 4 This is a schematic diagram of the connection relationship of an intelligent filtration system with an activated carbon filter element according to the present invention;

[0049] 101-Filter cartridge housing; 102-Activated carbon filter cartridge; 1021-Filter layer; 103-First accommodating space; 104-Second accommodating space; 105-Divider plate; 106-Inlet; 107-Outlet; 108-Fixing device; 109-Discharge port. Detailed Implementation

[0050] The present invention will be further described in detail below with reference to preferred embodiments. More details are set forth in the following description in order to provide a full understanding of the present invention. However, the present invention can obviously be implemented in many other ways different from those described herein. Those skilled in the art can make similar extensions and derivations based on actual application situations without departing from the spirit of the present invention. Therefore, the scope of protection of the present invention should not be limited by the content of this specific embodiment.

[0051] The accompanying drawings are schematic diagrams of embodiments of the present invention. It should be noted that these drawings are for illustrative purposes only and are not drawn to scale, and should not be construed as limiting the actual scope of protection of the present invention.

[0052] An activated carbon filter cartridge device, such as Figure 1 As shown, the system includes a filter cartridge housing 101, a filter cartridge array, a flow guiding structure, and a connecting and sealing assembly. The filter cartridge array is disposed within the filter cartridge housing 101 and consists of multiple tubular activated carbon filter cartridges 102 arranged in parallel. The flow guiding structure is located at the inlet end of the filter cartridge housing 101 and guides the liquid entering the housing, causing it to flow in a spiral, wall-adhering manner towards the parallel filter cartridge array, thus ensuring uniform distribution of the liquid to the exterior of each activated carbon filter cartridge 102. The connecting and sealing assembly is located at the end of each activated carbon filter cartridge 102 and allows for a detachable connection between the activated carbon filter cartridge 102 and the filter cartridge housing 101.

[0053] The activated carbon filter element 102 is formed by pressing various materials, including but not limited to coal-modified activated carbon, coconut shell activated carbon, and fruit shell activated carbon, under a 300-ton high-pressure press. Figure 3As shown, the filter layer 1021 of the activated carbon filter element 102 has a thickness of 30mm to 100mm, for example, 30mm, 50mm, or 100mm, which is at least three times the thickness of a traditional 10mm filter element, greatly increasing the dirt-holding capacity. In terms of microscopic pore structure, the mesopore ratio of the activated carbon filter element 102 is greater than or equal to 60%, ensuring sufficient contact between the feed liquid and the adsorbent. The feed liquid is suitable for passing through the activated carbon filter element 102 from the outside in, intercepting particulate matter to the outside of the activated carbon filter element 102, where the activated carbon filter element 102 adsorbs soluble impurities.

[0054] The filter array includes 3 to 8 activated carbon filter elements 102, enabling a single activated carbon filter element device to achieve a resolution of 1-5m. 3 The processing flow rate is [ / h], and it can be flexibly configured according to the number of filter tubes. For example... Figure 2 As shown, the activated carbon filter elements 102 are arranged in a parallel array within the filter element housing 101 in a horizontal or vertical manner. Specifically, each activated carbon filter element 102 may have a diameter of 150 mm and a length of 1500 mm. The spacing between adjacent parallel activated carbon filter elements 102 is maintained at 20-30 mm.

[0055] The filter cartridge housing 101 is a hollow cylindrical structure, which can be a cuboid, a cylinder, etc. Here, we take the filter cartridge housing 101 as a cylinder as an example. One end of the filter cartridge housing 101 is provided with an inlet 106 as the water inlet end, and the other end is provided with an outlet 107 as the water outlet end. The water inlet end is located at the vertically lower end of the filter cartridge housing 101, that is, the material liquid enters from the lower water inlet end, is filtered by the filter cartridge array, and flows out from the upper water outlet end.

[0056] The interior of the filter cartridge housing 101 is divided into two accommodating spaces by a partition plate 105: a first accommodating space 103 and a second accommodating space 104. The first accommodating space 103 is located near the water outlet, and the second accommodating space 104 is located near the water inlet. The partition plate 105 is provided with openings that match the number of activated carbon filter cartridges 102, and the number of openings is equal to the number of activated carbon filter cartridges 102.

[0057] The connecting sealing assembly includes a connecting flange and a sealing ring. The connecting flange fixes the activated carbon filter element 102 inside the filter element housing 101. The sealing ring is a nitrile rubber sealing ring, including a first sealing ring and a second sealing ring. The sealing ring is disposed between the connecting flange and the activated carbon filter element 102, ensuring that the activated carbon filter element 102 is leak-free under a working pressure of 0.3-0.6 MPa, meeting the sealing requirements for high-precision fluid purification. The connecting flange can use a quick-connect flange, making the replacement time of a single filter tube ≤5 minutes, requiring no special tools, and reducing maintenance intensity. Specifically, the connecting flange fixes one end of the activated carbon filter element 102 in the opening of the partition plate 105. A fixing spring is provided in the inner hole of the connecting flange, which is used to axially limit the activated carbon filter element 102. The other end of the activated carbon filter element 102 is fixed in the fixing device 108 at the end of the second accommodating space 104 away from the partition plate 105. The fixing device 108 can be a fixing groove, and the other end of the activated carbon filter element 102 is placed in the fixing groove. The activated carbon filter element 102 is fixed in the filter element housing 101 by the connecting flange at one end and the fixing groove at the other end.

[0058] The water inlet end of the filter element housing 101, that is, the end that is vertically downward, is provided with a discharge port 109. A plug is provided inside the discharge port 109. When it is necessary to discharge all the liquid in the activated carbon filter element 102, the plug is removed and the liquid is discharged from the activated carbon filter element 102 through the discharge port 109.

[0059] The flow guiding structure includes spiral guide vanes disposed at the water inlet end of the filter element housing 101. These spiral guide vanes extend the water flow path to prevent direct impact of the water flow on the activated carbon filter element, which could damage or short-circuit the filter element. This ensures that the contact time between the liquid and the activated carbon filter element 102 is greater than or equal to 1 minute, guaranteeing uniform adsorption load in each filter tube. Specifically, the spiral guide vane is an elbow connected to one end of the water inlet 106 located inside the filter element housing 101. The opening edge of the elbow at the end not connected to the water inlet 106 is tangential to the inner wall of the filter element housing 101.

[0060] The liquid to be filtered enters through the inlet 106 and, under the action of the flow guiding structure, flows along the inner wall of the filter element housing 101 into the second accommodating space 104. The liquid is then filtered by the filter element array. Specifically, the liquid flows along the tube wall of the activated carbon filter element 102, i.e., the filter layer 1021, into the hollow channel within the activated carbon filter element 102. It rises along the hollow channel, collects through the opening of the partition plate 105 in the first accommodating space 103, and then flows out of the activated carbon filter device through the outlet 107, completing the filtration process of the activated carbon filter device.

[0061] An intelligent filtration system with an activated carbon filter element includes the activated carbon filter element, a fluid drive unit, a detection unit, and a control unit, such as... Figure 4 As shown, the control unit is connected to the fluid drive unit and the detection unit respectively. In the intelligent filtration system, multiple activated carbon filter cartridges can be connected in series to form a two-stage or three-stage purification system, achieving gradient treatment of main filtration, deep purification, and safety adsorption. The intelligent filtration system has at least two sets of activated carbon filter cartridges connected in parallel. Each set of activated carbon filter cartridges is equipped with a switching valve on its connecting pipeline. The control unit controls the switching valves, thereby controlling which set of activated carbon filter cartridges the liquid flows through.

[0062] The activated carbon filter element device includes a filter element housing 101, a filter element array disposed within the filter element housing 101, a flow guiding structure disposed at the water inlet end, and a connecting sealing assembly; the filter element array is composed of multiple tubular activated carbon filter elements 102 arranged in parallel.

[0063] The fluid drive unit includes a booster device disposed at the water inlet of the activated carbon filter element, used to drive the feed liquid into the activated carbon filter element and regulate the flow rate of the feed liquid. Specifically, the booster device may be a variable frequency centrifugal pump, which receives instructions from the control unit to drive the feed liquid and regulate its flow rate.

[0064] The detection unit includes a first detection device and a second detection device respectively disposed at the inlet and outlet of the activated carbon filter element device. The first detection device is used to detect impurities at the inlet and outlet of the activated carbon filter element device and obtain impurity data. The second detection device is used to detect the pressure at the inlet and outlet of the activated carbon filter element device and obtain pressure data.

[0065] Specifically, the first detection device includes at least an inlet impurity sensor, such as an inlet TOC sensor or an inlet particulate sensor, located at the inlet end, and an outlet impurity sensor, such as an outlet TOC sensor or an outlet particulate sensor, located at the outlet end. The inlet impurity sensor is installed on the main inlet pipe of the activated carbon filter element device and is used to acquire initial impurity data of the liquid to be treated, serving as feedforward for flow rate adjustment by the fluid drive unit. The outlet impurity sensor is installed on the main outlet pipe and is used to acquire purified impurity data of the purified liquid, providing feedback for alarms and forced switching when the effluent quality exceeds standards.

[0066] The second detection device includes at least an inlet pressure transmitter installed on the main inlet pipe of the activated carbon filter element device and an outlet pressure transmitter installed on the main outlet pipe. The inlet pressure transmitter acquires pressure data from the inlet 106 to obtain inlet pressure data, and the outlet pressure transmitter acquires pressure data from the outlet 107 to obtain outlet pressure data. The control unit synchronously collects the pressure values ​​from the inlet and outlet pressure transmitters (i.e., inlet pressure data and outlet pressure data) in real time and performs a difference calculation to obtain the pressure difference data between the inlet and outlet ends, characterizing the degree of physical blockage of the filter element. In the water flow direction, the second detection device is located behind the booster device; specifically, it can be located between the booster device and the inlet end of the activated carbon filter element device.

[0067] The control unit receives real-time impurity data detected by the first detection device, adjusts the pressurization amount of the booster device according to the real-time initial impurity data at the inlet, and changes the water flow rate and contact time of the liquid in the activated carbon filter device; when the second detection device detects that the pressure difference between the inlet and outlet reaches a preset saturation threshold, it switches to the standby activated carbon filter device and starts the backwashing process.

[0068] In the basic operating mode, the control unit receives real-time initial impurity data sent by the first detection device at the inlet. When the initial impurity concentration at the inlet is high, i.e., the initial impurity data is greater than or equal to the preset first initial impurity data, the control unit reduces the pressure boosting of the booster device, lowers the frequency converter frequency, and slows down the water flow to prolong the contact time between the liquid and the activated carbon filter element 102. When the initial impurity concentration at the inlet is low, i.e., the initial impurity data is less than the preset first initial impurity data, the control unit increases the pressure boosting of the booster device, raises the frequency converter frequency, and increases the water flow to prolong the contact time between the liquid and the activated carbon filter element 102. Simultaneously, when the second detection device detects a pressure difference between the inlet and outlet water ends, i.e., the pressure difference data reaches a preset absolute saturation threshold such as 0.25 MPa, the control unit controls the valve corresponding to the currently used activated carbon filter element to close and opens the valve corresponding to another set of activated carbon filter elements, switching to the standby activated carbon filter element. At the same time, the backwashing process of the activated carbon filter element with the closed valve is initiated.

[0069] The control unit is specifically a programmable logic controller (PLC) or an industrial control computer (IPC). The control unit includes a data point mapping module, a compensation module, a topology mapping module, and a decision module.

[0070] An intelligent filtration system with an activated carbon filter element is used for industrial water treatment. However, the environment of industrial water treatment is relatively harsh, and the first detection device and / or the second detection device malfunctions frequently, resulting in unstable filtration effect of the intelligent filtration system and inability to achieve undisturbed continuous operation.

[0071] The embedded point mapping module within the control unit assigns hierarchical semantic tags to the fluid drive unit, the activated carbon filter element, and each detection device to construct a virtual mapping network. Each semantic tag includes at least an equipment type identifier, spatial physical coordinate identifier, and fluid topology identifier. For example, the tag for the inlet pressure transmitter is: [Type: Pressure; Coordinates: Node A; Topology: Downstream of Main Pump / Upstream of Filter Tank].

[0072] The compensation module monitors the data status of the first and second detection devices in real time. When it is determined that either detection device has a signal loss or data abnormality, such as a sudden data jump exceeding the physical limit range, the data detected by the abnormal detection device is replaced: the embedding mapping module parses the semantic tag of the faulty detection device in the virtual mapping network, and based on the fluid topology relationship identifier, addresses and matches a replacement hardware node that is on the same fluid path and has not experienced a fault.

[0073] The compensation module extracts the real-time monitoring data and operating electrical parameters of the alternative hardware node, substitutes them into a preset compensation algorithm for fluid dynamics reverse deduction, reconstructs missing or abnormal impurity data or missing or abnormal pressure data, and generates compensation data; during the failure of the detection device, the control unit uses the compensation data to maintain the adjustment of the pressurization amount of the pressurization device and the switching determination of the backwashing process.

[0074] The virtual mapping network is a macroscopic logical addressing architecture based on system-level entity hardware topology. The virtual mapping network contains multiple hardware nodes, each of which is mapped one-to-one with the fluid drive unit, the activated carbon filter device as a whole, and each of the detection devices. The hardware nodes establish directional logical communication links based on the macroscopic flow sequence of the fluid medium in the system pipeline.

[0075] When the outlet pressure transmitter of the second detection device malfunctions, resulting in the loss of outlet pressure data, the control unit extracts alternative node data and generates compensatory data based on semantic embedding points. That is, the control unit parses the semantic tags through the embedding point mapping module to extract alternative node data and generate compensatory data.

[0076] The specific process includes:

[0077] The embedded point mapping module parses the semantic tag of the second detection device that has malfunctioned, which contains the water outlet attribute. It then traverses upstream along the fluid topology relationship identifier of the virtual mapping network and matches the booster device whose semantic tag contains the fluid drive attribute as a replacement hardware node.

[0078] The compensation module extracts the real-time operating frequency and motor stator current of the booster device and converts them into real-time pipeline flow rate Q; combined with the current dynamic resistance coefficient K of the filter array extracted from the system's historical operating trend data, it uses the fluid dynamics resistance equation ΔP=K×Q 2 The theoretical pressure drop ΔP is calculated and used as compensation data for the outlet pressure. Specifically, the compensation module extracts the real-time operating frequency and motor stator current of the booster device and converts them into real-time pipeline flow rate Q through the pump efficiency curve. Then, based on historical operating trend data, the compensation module calculates the dynamic resistance coefficient K of the current filter array. Finally, the fluid dynamics resistance equation ΔP = K × Q is applied. 2 The theoretical pressure drop ΔP is calculated and superimposed on the base static pressure as compensation data for the outlet pressure. The control unit then uses this compensation data to determine whether backwashing needs to be initiated.

[0079] The booster device is specifically a variable frequency centrifugal pump, and the compensation module converts the pump efficiency curve into real-time pipeline flow Q. The specific calculation steps are as follows:

[0080] Real-time reading of the current operating frequency of the booster pump inverter of the variable frequency centrifugal pump. and motor stator current .

[0081] Based on the motor stator current and operating voltage, through the formula Calculate the real-time shaft power P and current of the water pump. It shows a strong positive correlation with the actual shaft power consumed. Among them, This is the real-time line voltage, the real-time operating voltage output by the frequency converter to the motor. In constant voltage-frequency ratio (V / f) control mode, this voltage value will change with the operating frequency. The dynamic adjustment changes proportionally; It is the power factor, which characterizes the motor's ability to absorb active power from the power grid. During operation, the control unit can directly call the dynamic power factor fitted inside the frequency converter. For motor efficiency, the rated efficiency of the electrodes can be used directly, or a correction value can be obtained by the control unit from a table based on the current load rate. In a preferred practical engineering embodiment, since modern industrial frequency converters have integrated the above-mentioned... The core of the computational logic for torque and power estimation is that the control unit can directly read the real-time shaft power data P fed back from the inverter register of the booster device through the industrial communication bus, thereby improving the real-time data processing of the intelligent filtration system and reducing the underlying computational load of the control unit.

[0082] The control unit internally stores the reference shaft power-flow rate (PQ) curve of the variable frequency centrifugal pump at its rated frequency. According to the pump similarity law, when the operating frequency changes... At this time, the pump's power is directly proportional to the cube of its rotational speed (frequency), and the flow rate is directly proportional to the rotational speed. The control unit maps the reference PQ curve to the current frequency using a formula. The real-time PQ curve is shown below.

[0083] After determining the current frequency After obtaining the PQ curve, the control unit substitutes the calculated real-time shaft power P into the current frequency. The PQ curve below, or the horizontal axis value corresponding to the current coordinate point, i.e., the real-time pipeline flow Q, can be obtained by interpolation through a polynomial fitting function.

[0084] The resistance of activated carbon filter cartridges is not constant: as filtration time increases, impurities are trapped, the pores inside the filter cartridge become smaller, and the resistance gradually increases. Therefore, the dynamic resistance coefficient K is dynamic and needs to be extrapolated from historical data accumulated before the failure occurs.

[0085] The compensation module calculates the dynamic resistance coefficient K of the current filter array based on historical operating trend data. The specific calculation steps are as follows:

[0086] Establish a fluid resistance mechanism model: According to the fluid dynamics pipeline resistance equation, the pressure drop ΔP of the fluid flowing through the activated carbon filter array is proportional to the square of the flow rate Q, and the relationship is as follows: Where K is the resistance coefficient of the filter array, representing the degree of physical clogging of the current activated carbon filter.

[0087] Extracting steady-state historical data prior to the fault: During normal operation of the outlet pressure transmitter before the fault occurred, the control unit simultaneously possessed the actual inlet and outlet pressure difference. And the flow rate Q derived from the water pump. The control unit calculates and records the historical resistance coefficient in real time using the formula during each sampling period: .

[0088] Fitting dynamic decay trend: The control unit extracts all data from the end of the last backflushing process until the fault occurred. Data set. Since activated carbon filter clogging is a continuous accumulation process, the control unit performs linear or exponential fitting on the data set to calculate the clogging growth rate, i.e., the slope, of the resistance coefficient over time. .

[0089] Calculate the current dynamic drag coefficient K: When a sensor failure occurs, the control unit uses the last effective drag coefficient before the failure. Based on the pollution and blockage growth rate and duration of failure The current dynamic drag coefficient is calculated using an extrapolation algorithm: If the congestion is non-linear, an exponential smoothing algorithm can be used for fitting. Finally, the control unit re-substitutes the calculated real-time flow rate Q and the dynamic resistance coefficient K into the formula. This yielded the missing set of outlet pressure compensation data.

[0090] When the first detection device malfunctions, resulting in missing impurity data, the specific process by which the control unit generates compensatory data is as follows:

[0091] The embedding point mapping module matches the second detection device that has not experienced a fault as a replacement hardware node;

[0092] The compensation module acquires the differential pressure data monitored in real time by the second detection device, calculates the rate of change of differential pressure within the current time window, and extracts the benchmark impurity load corresponding to the same rate of change of differential pressure from historical data. Based on the current temperature parameter of the feed liquid, it performs viscosity compensation correction on the benchmark impurity load, deduces the real-time impurity content at the inlet and outlet, and generates compensation data for impurity data. Since the clogging rate of the activated carbon filter element is strongly positively correlated with the amount of impurities intercepted, the compensation module extracts the benchmark impurity load corresponding to the same rate of change of differential pressure from historical data, and combines it with the current temperature parameter of the feed liquid that affects the fluid viscosity to perform viscosity compensation correction, thereby obtaining compensation data for real-time impurity data.

[0093] The compensation module calculates the rate of change of pressure difference within the current time window. The specific calculation steps are as follows:

[0094] A time window W is set, for example, 60 seconds, and the control unit samples the inlet and outlet water pressure difference ΔP at a fixed period, such as 1 second.

[0095] Take the average pressure difference at the current time t, subtract the average pressure difference at the start of the time window tW, and then divide by the window time W.

[0096] Pressure difference change rate . This represents the current acceleration of the activated carbon filter cartridge becoming clogged, i.e., the rate of change of pressure difference within the current time window.

[0097] The compensation module performs viscosity compensation correction, and the specific calculation steps are as follows:

[0098] Because the dynamic viscosity of the feed solution increases significantly as the temperature decreases, the non-impurity of the pressure drop increases. The activated carbon filter element is equipped with a temperature detection device at its inlet, which acquires the real-time temperature T of the feed solution.

[0099] The control unit is preset with a reference temperature. Specifically, it could be 25°C. When the actual temperature deviates from the reference temperature, it depends on the fluid's temperature T and viscosity coefficient. Calculate a compensation factor .

[0100] The reference impurity load obtained from the table will be used. Multiply by compensation factor The system compensates for and corrects for changes in fluid viscosity resistance caused by temperature fluctuations, ultimately deriving the actual impurity content at the inlet and outlet. ,Right now The obtained impurity data This serves as compensatory data, continuing to participate in the flow rate feedback control of the intelligent filtration system, thereby filtering out interference caused by temperature and restoring the true impurity content.

[0101] The control unit has a pre-stored reference temperature. A mapping table of pressure difference change rate and impurity retention is provided. The baseline impurity load is obtained by looking up the table. The specific acquisition process is as follows: the compensation module obtains the real-time pressure difference change rate... Substitute the values ​​into the table to extract the corresponding baseline impurity load values. .

[0102] The intelligent filtration system monitors pressure only at the inlet and outlet. To identify flow deviation and localized blockage within the activated carbon filter array, the topology mapping module maps the flow guiding structure at the inlet to an inlet distribution network model, mapping each activated carbon filter cartridge as an independent single-pipe computational node. Combining the three-dimensional coordinates of the activated carbon filter cartridges and the physical characteristics of the flow guiding structure, the fluid friction resistance value along the flow path to each filter cartridge is calculated, constructing a complete hydraulic path.

[0103] The topology mapping module constructs a virtual topology network model based on the physical spatial arrangement information of each activated carbon filter element in the filter element array and the hydraulic distribution characteristics of the flow guiding structure.

[0104] The control unit uses the virtual topology network model to map the operation monitoring data obtained by the detection unit to the internal space of the filter array, and calculates the local operating state of each activated carbon filter in the filter array to quantify the non-uniform distribution characteristics inside the activated carbon filter device.

[0105] Based on the non-uniform distribution characteristics, the decision module adjusts the control parameters of the fluid drive unit or determines the maintenance and switching time of the activated carbon filter device.

[0106] The virtual topology network model is a microscopic physical architecture nested within the virtual mapping network. The virtual topology network model is constructed for a single macroscopic device node—the activated carbon filter cartridge—and includes multiple microscopic hydraulic calculation nodes. Each microscopic hydraulic calculation node is mapped one-to-one with each flow branch region of the flow guiding structure located at the water inlet end, and each parallel-arranged single-branch tubular activated carbon filter cartridge. Physical resistance coupling links are established between the microscopic hydraulic calculation nodes based on the spatial physical coordinates of the physical components and the fluid dynamic resistance characteristics, for quantifying the flow field distribution.

[0107] The specific process of the topology mapping module constructing the virtual topology network model includes: the topology mapping module maps the flow guiding structure into an inlet distribution network model representing the flow splitting path, and independently maps each activated carbon filter element in the filter element array into a single-pipe computing node; the topology mapping module extracts the three-dimensional coordinates of each activated carbon filter element inside the filter element shell, and calculates the fluid friction resistance value of the water flow from the inlet end to each of the single-pipe computing nodes by combining the structural parameters of the flow guiding structure, and constructs the hydraulic path connecting the inlet distribution network model and each of the single-pipe computing nodes. For example, the flow guiding structure at the inlet end of the filter element shell is mapped into an inlet distribution network model, and its n flow splitting regions are defined as distribution nodes; at the same time, each of the n activated carbon filter elements in the activated carbon filter element array is mapped one-to-one to a single-pipe computing node. Extract the three-dimensional coordinates (x, y, z) of the activated carbon filter element and the structural parameters of the flow guiding structure, such as pore size, flow channel length, and deflection angle. Based on Darcy's formula in fluid mechanics and the local resistance coefficient table, calculate the basic frictional resistance value of the water flow from the inlet main pipe to the i-th single-pipe calculation node. This allows for the construction of n parallel hydraulic paths.

[0108] The local operating state parameters include the flow rate and pressure drop of a single filter element; the specific process by which the control unit derives these local operating state parameters is as follows:

[0109] The control unit acquires the overall influent flow rate of the activated carbon filter device, which is monitored in real time by the detection unit. and overall inlet and outlet water pressure difference ;

[0110] The control unit uses the overall influent flow rate and overall influent-outfluent pressure difference as the basis for calculation. It performs flow distribution calculations based on the proportion of fluid friction resistance values ​​along each hydraulic path to obtain the theoretical flow rate of a single filter element flowing through each single-pipe calculation node, and further calculates the corresponding theoretical pressure drop of a single filter element. Under ideal conditions or with a known initial resistance distribution, the control unit utilizes the parallel pipe network resistance distribution principle to calculate the theoretical flow rate of a single filter element flowing through each single-pipe calculation node i. Flow distribution follows the inverse square root of resistance principle, and its calculation formula is as follows: After calculating the flow rate of each filter element Then, the control unit calculates the corresponding theoretical pressure drop of a single filter element based on the resistance value of that path. : .

[0111] The control unit quantifies the non-uniform distribution characteristics by: summarizing the theoretical single-filter element pressure drop data of all single-pipe calculation nodes in each sampling period; calculating the dispersion value among the theoretical single-filter element pressure drop values ​​of all single-pipe calculation nodes, and using the dispersion value as a non-uniform distribution characteristic quantity to quantify whether the water flow distribution within the filter element array is uniform and whether the clogging degree of each filter element is consistent. In actual operation, due to the different rates at which each filter element intercepts impurities, the actual resistance will change non-uniformly. In each sampling period, the control unit summarizes the theoretical single-filter element pressure drop data of all n single-pipe calculation nodes. Calculate its average value The dispersion value is calculated using the following formula. : Dispersion value This is the core indicator for quantitatively evaluating the non-uniform distribution characteristics inside the filter array. The closer the value is to 0, the more uniform the internal flow field. The larger the value, the more uneven the blockage distribution, indicating a severe flow deviation.

[0112] The control unit is preset with a rated saturation threshold and a flow deviation warning value for backwashing. Here, the rated saturation threshold is set to 0.25 MPa and the flow deviation warning value is set to 15%.

[0113] The decision module adjusts the control parameters of the fluid drive unit, specifically including:

[0114] When the overall inlet and outlet water pressure difference of the activated carbon filter device obtained by the detection unit does not reach the preset rated saturation threshold for backwashing, but the calculated dispersion value is greater than the preset flow deviation warning value;

[0115] The decision module determines that a flow deviation phenomenon has occurred inside the filter array, where some filter elements are severely blocked while others are running idle.

[0116] At this time, the decision module outputs a high-frequency pulse control signal to the fluid drive unit, so that the liquid entering the activated carbon filter device forms a pulsating impact water flow, so as to use the fluid impact force to break up the local blockage at the flow guide structure and rebalance the internal flow field.

[0117] An embodiment of the decision module adjusting the control parameters of the fluid drive unit is described here.

[0118] When the overall inlet and outlet water pressure difference obtained by the detection unit is 0.15 MPa, it does not reach the rated saturation threshold of 0.25 MPa for backflushing, but the calculated dispersion value... When the deviation rate reaches 20%, exceeding the preset 15% deviation warning value, the decision module determines that a deviation phenomenon has occurred within the filter array. This means that some activated carbon filter elements are severely coated with impurities, causing a surge in resistance, while other filter elements, due to their lower resistance, are in an overloaded state. At this time, the decision module does not trigger a global backwash. Instead, it outputs a high-frequency pulse control signal to the variable frequency centrifugal pump of the fluid drive unit. This controls the frequency converter to superimpose a square wave or sine wave oscillation signal with an amplitude of ±5Hz and a period of 1-3 seconds on top of the reference operating frequency. This rapid alternation of frequencies causes the liquid entering the activated carbon filter element device to form a pulsating impact water flow. Utilizing the local shear force generated by the transient water flow acceleration, the loose filter cake or sludge on the guide structure and the surface of the clogged filter elements is broken up and peeled off, causing it to be resuspended or evenly distributed. This rebalances the internal flow field without interrupting the filtration operation.

[0119] The decision-making module determines the maintenance and switching timing of the activated carbon filter device specifically in the following ways:

[0120] The decision module has a preset two-dimensional safety boundary curve, the horizontal axis of which corresponds to the overall inlet and outlet water pressure difference of the activated carbon filter device and the dispersion value, respectively.

[0121] When the real-time coordinate point formed by the overall inlet and outlet water pressure difference of the activated carbon filter device and the dispersion value touches or exceeds the two-dimensional safety boundary curve, even if the overall inlet and outlet water pressure difference of the activated carbon filter device has not reached the alarm upper limit, the decision module still triggers the switching command of the backup activated carbon filter device to prevent the local filter element from being completely broken down.

[0122] Here, we will describe one embodiment of how the decision module determines the maintenance and switching timing of the activated carbon filter device.

[0123] The pre-set two-dimensional safety boundary curve within the decision module is based on the overall pressure difference. The horizontal axis X is represented by the dispersion value. Let Y be a nonlinear exponential decay curve with respect to the vertical axis, and its equation be: Where A, B, and k are empirical constants calibrated based on the mechanical strength of the filter element, and are preset values. Specifically, A is the amplitude coefficient, representing the initial maximum tolerance span of the system to flow deviation under low pressure differential conditions. Numerically, A is strongly correlated with the initial impact resistance of the activated carbon filter element material; the more robust the material, the larger the value of A can be set, indicating that a greater uneven water flow distribution can be allowed when the overall system is clean. B is the limiting reference constant / asymptotic constant, representing the absolute safety baseline. Mathematically, when the pressure differential X is very large, the exponential term... It will approach 0, at which point The value will infinitely approach B. Physically, this represents the minimum allowable deviation value that remains even under high pressure limits when the intelligent filtration system is close to complete failure. It usually depends on the inherent distribution error of the flow guiding structure, because an absolutely ideal zero deviation does not exist in engineering. k is the decay rate constant, and k>0, representing the decay sensitivity of the intelligent filtration system's tolerance to increase pressure difference. Physically, it reflects the rate at which the activated carbon filter element becomes brittle or its resistance to local breakdown decreases as the pores are gradually filled with impurities and the overall pressure increases. The larger the value of k, the steeper the curve, and the more drastically the intelligent filtration system's tolerance to deviation phenomena drops under high pressure difference conditions. e is the base of the natural logarithm, a constant, approximately equal to 2.71828. Here, it serves as the basic mathematical symbol for the exponential decay model, used to construct the dynamic characteristic of tolerance decreasing nonlinearly with increasing pressure. X is the independent variable, representing the overall inlet and outlet water pressure difference of the activated carbon filter element device. In a physical sense, it reflects the overall degree of clogging or macroscopic physical load currently experienced by the intelligent filtration system; The dependent variable threshold represents the maximum degree of dispersion that the intelligent filtration system can tolerate under a given overall pressure difference X. It also includes the upper limit of the deviation tolerance. This is based on the actual degree of dispersion calculated by the control unit. Greater than or equal to this This indicates that the flow rate / pressure experienced by the local filter element has reached its physical limit, which will force the switching of the backup filter element.

[0124] To avoid the problem that the intelligent filtration system can only perform post-event global high-frequency pulse flushing when flow deviation occurs, which would cause the normal filter element to suffer unnecessary water hammer impact and increase energy consumption, the control unit adopts active and precise defense based on flow field spatiotemporal calculation. The entire filtration system is regarded as a microscopic traffic network, and high-concentration impurity clumps are regarded as abnormal vehicles. This enables the control unit to accurately defend against liquid containing high-concentration impurity clumps. When the high-concentration impurity clumps just come into contact with the activated carbon filter element, they are physically broken up and evenly dispersed by the instantaneous high-frequency oscillating water flow shear force.

[0125] Specifically, the steps include the following:

[0126] The inlet impurity sensor at the inlet end monitors the liquid entering the main inlet pipe in real time. When the impurity concentration change rate exceeds the preset abrupt change threshold, it is determined that there is a high-concentration impurity cluster. The control unit records the initial concentration characteristics of the high-concentration impurity cluster and the initial time stamp of entering the intelligent filtration system.

[0127] The topology mapping module calculates the estimated arrival time of the high-concentration impurity clusters to each micro-hydraulic calculation node based on the real-time pipeline flow of the booster device and the hydraulic path volume of the flow guiding structure and each single-pipe calculation node in the virtual topology network model.

[0128] In the virtual topology network model, the control unit initializes a congestion warning flag on a specific single-pipe computing node expected to be impacted, and registers a time callback function on the congestion warning flag. The time callback function is used to achieve asynchronous, precise timing triggering.

[0129] When the intelligent filtration system reaches the expected arrival time, the time callback function is triggered, and the decision module outputs a transient phase-matching micropulse signal to the booster device so as to physically break up and evenly disperse the high-concentration impurity clusters at the moment they come into contact with the activated carbon filter element using the instantaneous high-frequency oscillating water flow shear force.

[0130] Here, a specific embodiment of the control unit's precise defense against liquid containing high concentrations of impurities is described.

[0131] An inlet impurity sensor installed on the main inlet pipe collects initial impurity data of the incoming water in real time. The control unit calculates the first derivative of the concentration in real time, i.e., the change... .when When three consecutive sampling periods exceed a preset mutation threshold, the control unit determines that a high concentration of impurity clusters has formed in the pipeline network. At this point, the control unit immediately uses the current absolute time of the intelligent filtration system as the initial time stamp. The characteristics of this high-concentration impurity cluster are then encapsulated into an anomalous fluid event package. The mutation threshold is taken as 10 mg / L (cdots) as an example. The characteristics of the high-concentration impurity cluster include peak concentration, duration, etc.

[0132] The topology mapping module performs spatiotemporal availability extrapolation based on the abnormal fluid event package, calculating when this high-concentration impurity cluster will impact the physical surface of the filter array.

[0133] Assume the total volume of the main pipe and transition cavity from the inlet impurity sensor to the flow diversion area at the end of the flow guiding structure is... The current real-time pipeline flow rate driven by the variable frequency centrifugal pump is Q. Since the fluid follows the continuity equation within the pipeline, the average transport time of high-concentration impurity clusters in the macroscopic pipeline is... for: .

[0134] When high-concentration impurity clusters enter a specific single-tube computation node i through the flow guiding structure, due to the different fluid friction resistance values ​​along each distribution path, the topology mapping module calculates the theoretical single activated carbon filter cartridge flow rate based on the aforementioned calculation. And the micro-channel volume of the flow guiding structure to the i-th activated carbon filter element. Calculate the micro-allocation time : .

[0135] Based on the physical spatial distance and fluid velocity characteristics, the topology mapping module calculates the absolute estimated arrival time (ETA) of the impurity cluster to the i-th activated carbon filter element as follows: .

[0136] The control unit does not take immediate action. Instead, using object-oriented programming logic, it generates a congestion warning marker above the i-th single-pipe computing node corresponding to the virtual topology network model within its memory. This congestion warning marker includes the aforementioned absolute estimated arrival time, and a time callback function is registered with the control unit. The control unit is bound to the real-time clock of the intelligent filtering system and operates in a silent monitoring state, effectively placing timed warning devices at specific intersections in the micro-road network.

[0137] When the real-time running time of the intelligent filtration system Advance and completely equal to At this time, the time callback function is triggered. Specifically, the arrival and adhesion of high-concentration impurity clusters to the outer filter layer surface of the i-th activated carbon filter element occurs at the golden intervention time, just before severe physical clogging. At this moment, the decision module rapidly outputs a transient phase-matching micro-pulse signal to the pressurization device, avoiding the triggering of conventional high-frequency pulses that would cause drastic fluctuations in the global flow field. Specifically, the decision module superimposes a pulse with an extremely short duration and extremely narrow amplitude onto the current base operating frequency, for example, momentarily raising it to 45Hz, lasting only 0.5 to 1.0 seconds, and then immediately returning to 40Hz. This 0.5-second micro-pulse will excite a micro-water hammer wave with extremely high instantaneous acceleration in the inlet pipe. Due to the extremely precise timing calculation, the peak of this micro-water hammer wave coincides precisely with the phase of the impurity cluster impacting the filter element. By utilizing the strong shear force generated by the instantaneous acceleration of the fluid, colloidal or large particulate impurities are physically broken up before they are deeply pressed into the pores of the activated carbon. This allows them to be resuspended uniformly in the second containment space of the filter element array and dispersed by the liquid flow to the vast surface of the entire activated carbon filter element array.

[0138] The control unit provides precise protection against liquid containing high concentrations of impurities, enabling preventative unclogging of potential local blockages, saving unnecessary pumping energy, thoroughly protecting unclogged filter elements from mechanical fatigue damage, and increasing the fault tolerance and stability of the intelligent filtration system during long-term continuous operation.

[0139] An activated carbon filter element device and an intelligent filtration system incorporating the device are disclosed. The device utilizes coal-modified activated carbon filter elements with a thickness of 30mm to 100mm and a mesopore ratio greater than or equal to 60%, significantly increasing the dirt-holding capacity and ensuring sufficient contact between the feed liquid and the adsorbent. Combined with spiral guide vanes at the inlet, the feed liquid enters in a spiral-wall manner, effectively extending the water flow path, preventing short-circuit flow, and ensuring uniform adsorption load on each filter tube. Simultaneously, the quick-connect flange and double nitrile rubber sealing ring connection achieves a high-precision seal without leakage under working pressures of 0.3-0.6MPa, while reducing the replacement time of a single filter tube to ≤5 minutes, greatly minimizing maintenance intensity. To address the issue of system paralysis caused by frequent malfunctions of detection devices in industrial water treatment, the control unit assigns semantic tags to each hardware node through a point mapping module, constructing a logical communication link with fluid topology relationships. When pressure or impurity sensors lose signals, the compensation module can accurately address and replace the hardware node. Utilizing the operating parameters or differential pressure change rate of the booster device, combined with historical dynamic resistance coefficients and temperature compensation algorithms, fluid dynamics are reverse-engineered to reconstruct the missing impurity or pressure data. This ensures that the system can still maintain the adjustment of booster volume and the switching of backwashing processes during hardware failures, avoiding production waste caused by mistakenly switching to backup systems or forced shutdowns. The topology mapping module transforms the three-dimensional spatial coordinates of the flow guide structure and filter element into independent hydraulic paths. Combined with the fluid friction resistance value, it calculates the theoretical flow rate and pressure drop of a single filter element at a single-pipe calculation node. By calculating the dispersion values ​​between the theoretical pressure drop values ​​of individual filter cartridges at all nodes, the system can accurately quantify whether the internal water flow distribution is uniform, and identify in advance the flow deviation phenomenon where some filter cartridges are severely clogged while others are idling. This overcomes the deficiency of traditional equipment that cannot detect local failures by relying solely on overall pressure difference. When the dispersion value calculated by the system is greater than the preset flow deviation warning value, but the overall inlet and outlet water pressure difference has not reached the rated saturation threshold for backwashing, the decision module does not trigger global backwashing. Instead, it outputs a high-frequency pulse control signal to the fluid drive unit. Utilizing the pulsating impact water flow and transient shear force generated by the rapid alternation of frequencies, it specifically disperses the local blockages at the flow guide structure, causing them to resuspend or be evenly distributed, thereby rebalancing the internal flow field without interrupting normal filtration operations. The decision module dynamically adjusts the tolerance for local flow deviation based on the current overall pressure load of the system. When the real-time coordinate point touches or exceeds the curve, even if the overall inlet and outlet water pressure difference does not reach the alarm limit, the system will forcibly trigger the switching command of the backup activated carbon filter device, fundamentally preventing the local filter from being completely broken down under extreme flow rate and pressure, and ensuring the fluid purity safety in the high-end continuous manufacturing process.

[0140] The above description illustrates preferred embodiments of the present invention and helps those skilled in the art to more fully understand the technical solution of the present invention. However, these embodiments are merely illustrative and should not be construed as limiting the specific implementation of the present invention to these embodiments. For those skilled in the art, several simple deductions and modifications can be made without departing from the inventive concept, and all such modifications should be considered within the protection scope of the present invention.

Claims

1. An intelligent filtration system with an activated carbon filter element, characterized in that, It includes an activated carbon filter element device, a fluid drive unit, a detection unit, and a control unit, wherein the control unit is connected to the fluid drive unit and the detection unit respectively; The activated carbon filter element device includes a filter element shell, a filter element array disposed within the filter element shell, a flow guiding structure disposed at the water inlet end, and a connecting sealing assembly; the filter element array is composed of multiple tubular activated carbon filter elements arranged in parallel. The fluid drive unit includes a pressurization device disposed at the water inlet end of the activated carbon filter element device, which is used to drive the feed liquid into the activated carbon filter element device and adjust the water flow rate of the feed liquid. The detection unit includes a first detection device and a second detection device respectively disposed at the inlet and outlet of the activated carbon filter element device. The first detection device is used to detect impurities at the inlet and outlet of the activated carbon filter element device and obtain impurity data. The second detection device is used to detect the pressure at the inlet and outlet of the activated carbon filter element device and obtain pressure data. The control unit receives real-time impurity data detected by the first detection device, adjusts the pressurization amount of the booster device according to the real-time initial impurity data at the inlet, and changes the water flow rate and contact time of the liquid in the activated carbon filter device; when the second detection device detects that the pressure difference between the inlet and outlet reaches the preset saturation threshold, it switches to the standby activated carbon filter device and starts the backwashing process. The control unit includes a point mapping module and a compensation module. The point mapping module assigns hierarchical semantic tags to the fluid drive unit, the activated carbon filter element, and each detection device to construct a virtual mapping network. The semantic tags include at least device type identifiers, spatial physical coordinate identifiers, and fluid topology relationship identifiers. The compensation module monitors the data status of the first and second detection devices in real time. When it determines that any detection device has a signal loss or data anomaly, the point mapping module parses the semantic tag of the faulty detection device in the virtual mapping network and, based on the fluid topology relationship identifier, addresses and matches a replacement hardware node that is on the same fluid path and has not experienced a fault. The compensation module extracts the real-time monitoring data and operating electrical parameters of the replacement hardware node, substitutes them into a preset compensation algorithm for fluid dynamics reverse deduction, reconstructs the missing or abnormal impurity data or the missing or abnormal pressure data, and generates compensation data. During the failure of the detection device, the control unit maintains the adjustment of the pressurization amount of the pressurization device and the switching determination of the backwashing process using the compensation data; The control unit is also equipped with a topology mapping module and a decision module. The topology mapping module constructs a virtual topology network model based on the physical spatial arrangement information of each activated carbon filter element in the filter element array and the hydraulic distribution characteristics of the flow guiding structure. The control unit uses the virtual topology network model to map the operation monitoring data obtained by the detection unit to the internal space of the filter element array, calculates the local operating state of each activated carbon filter element in the filter element array, and quantifies the non-uniform distribution characteristics inside the activated carbon filter element device. Based on the non-uniform distribution characteristics, the decision module adjusts the control parameters of the fluid drive unit or determines the maintenance switching time of the activated carbon filter element device.

2. The intelligent filtration system with an activated carbon filter element according to claim 1, characterized in that, The filter element array is disposed inside the filter element housing and is composed of multiple tubular activated carbon filter elements arranged in parallel. The flow guiding structure is located at the water inlet end of the filter element shell and is used to guide the liquid entering the filter element shell so that it flows to the filter element array in a spiral wall-adhering manner, so that the liquid is evenly distributed to the outside of each activated carbon filter element. The connection sealing assembly is disposed at the end of a single activated carbon filter element, and is used to detachably connect the activated carbon filter element to the filter element housing.

3. The intelligent filtration system with an activated carbon filter element according to claim 1, characterized in that, The activated carbon filter element is formed by pressing coal-modified activated carbon, coconut shell activated carbon, or fruit shell activated carbon; the filter layer thickness of the activated carbon filter element is 30mm to 100mm, and the proportion of mesopores is greater than or equal to 60%; the feed liquid is suitable for passing through the activated carbon filter element from the outside to the inside, intercepting particulate matter to the outside of the activated carbon filter element, and the activated carbon filter element adsorbs soluble impurities.

4. The intelligent filtration system with an activated carbon filter element according to claim 1, characterized in that, The filter array includes 3 to 8 activated carbon filter elements; the activated carbon filter elements are arranged in a parallel array in a horizontal or vertical manner inside the filter element housing.

5. The intelligent filtration system with an activated carbon filter element according to claim 1, characterized in that, The flow guiding structure includes spiral flow guiding blades disposed at the water inlet end of the filter cartridge housing; the spiral flow guiding blades are used to extend the water flow path to avoid the water flow directly impacting the activated carbon filter cartridge, causing damage or short circuit to the activated carbon filter cartridge.

6. The intelligent filtration system with an activated carbon filter element according to claim 1, characterized in that, When the second detection device malfunctions, resulting in missing outlet pressure data, the specific process by which the control unit extracts alternative node data based on semantic embedding points and generates compensatory data is as follows: The embedded point mapping module parses the semantic tag of the second detection device that has malfunctioned, which contains the water outlet attribute. It then traverses upstream along the fluid topology relationship identifier of the virtual mapping network and matches the booster device whose semantic tag contains the fluid drive attribute as a replacement hardware node. The compensation module extracts the real-time operating frequency and motor stator current of the booster device and converts them into real-time pipeline flow Q. The current dynamic resistance coefficient K of the filter array is extracted from the historical operating trend data of the system, and then applied using the fluid dynamics resistance equation ΔP=K×Q. 2 The theoretical pressure drop was calculated and used as compensation data for the outlet pressure.

7. The intelligent filtration system with an activated carbon filter element according to claim 1, characterized in that, When the first detection device malfunctions, resulting in missing impurity data, the specific process by which the control unit generates compensatory data is as follows: The embedding point mapping module matches the second detection device that has not experienced a fault as a replacement hardware node; The compensation module acquires the differential pressure data monitored in real time by the second detection device and calculates the rate of change of differential pressure within the current time window; The benchmark impurity load corresponding to the same differential pressure change rate is extracted from historical data. Based on the current temperature parameter of the feed liquid, the benchmark impurity load is corrected by viscosity compensation. The real-time impurity content at the current inlet and outlet water ends is deduced, and compensation data for impurity data is generated.

8. The intelligent filtration system with an activated carbon filter element according to claim 1, characterized in that, The specific process by which the topology mapping module constructs the virtual topology network model includes: The topology mapping module maps the flow guiding structure into an inlet water distribution network model that characterizes the flow distribution path, and independently maps each activated carbon filter element in the filter element array into a single tube computing node. The topology mapping module extracts the three-dimensional coordinates of each activated carbon filter element inside the filter element shell, and calculates the fluid friction resistance value of the water flow from the inlet end to each of the single-pipe computing nodes by combining the structural parameters of the flow guiding structure, and constructs the hydraulic path connecting the water inlet distribution network model and each of the single-pipe computing nodes.

9. The intelligent filtration system with an activated carbon filter element according to claim 8, characterized in that, The local operating state parameters include the flow rate and pressure drop of a single filter element; the specific process by which the control unit derives these local operating state parameters is as follows: The control unit acquires the overall inlet flow rate and overall inlet-outlet pressure difference of the activated carbon filter device, which are monitored in real time by the detection unit. The control unit calculates the flow rate based on the overall inlet flow rate and the overall inlet-outlet pressure difference. It then performs flow rate distribution calculations according to the proportion of the fluid friction resistance values ​​along each hydraulic path to obtain the theoretical flow rate of a single filter element flowing through each single-pipe calculation node, and further calculates the corresponding theoretical pressure drop of a single filter element.

10. The intelligent filtration system with an activated carbon filter element according to claim 9, characterized in that, The quantification of the non-uniform distribution features by the control unit specifically includes: The control unit summarizes the theoretical single filter element pressure drop data of all single tube calculation nodes in each sampling period; The control unit calculates the dispersion value between the theoretical single filter element pressure drop values ​​of all single-pipe calculation nodes, and uses the dispersion value as a non-uniform distribution characteristic quantity to quantitatively evaluate whether the water flow distribution inside the filter element array is uniform and whether the degree of blockage of each filter element is consistent.

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