Intelligent operating state management system and method for environmental protection equipment

Abstract

The invention discloses a running state intelligent management system and method for environmental protection equipment, and relates to the technical field of intelligent management. The system comprises a partition deployment module, a leakage monitoring module, a plugging switching module and an early warning operation and maintenance module. The partition deployment module is divided into independent partitions, and a leakage monitoring sensor, a partition plugging actuator and a standby access assembly are deployed; the leakage monitoring module configures a sampling frequency and a leakage threshold value, and collects and compares leakage characteristic signals; after the plugging switching module verifies leakage, local plugging is executed, and a standby channel is switched to guarantee medium circulation; the early warning operation and maintenance module accurately locates a leakage position, calculates a risk level, and pushes early warning information containing a partition identifier and an accurate position. Through partitioned hardware direct connection and quantitative adaptation logic, the problems of difficult leakage traceability, blocking lag and global shutdown pain points of the environmental protection equipment are solved, instant leakage management and control, continuous operation and precise operation and maintenance of the equipment are realized, and the environmental governance effect and the equipment operation efficiency are guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent management, in particular to an operation state intelligent management system and method for environmental protection equipment. BACKGROUND

[0002] Environmental protection equipment is the core carrier of pollutant treatment, and its operation stability is directly related to the environmental treatment effect. However, such equipment is prone to hidden leakage during long-term operation, such as underground sewage pipeline micro-leakage, exhaust treatment equipment seal leakage, and slow leakage of reagent tank. Such leakage has the characteristics of small leakage amount, hidden diffusion, and difficult to detect in the early stage, and the leakage medium is mostly pollutants, which will cause secondary environmental pollution and aggravate ecological damage once diffused.

[0003] The existing environmental protection equipment operation management system mainly adopts the mode of global monitoring and shutdown maintenance for leakage problems: global sensors are deployed to collect leakage signals, and the whole set of equipment needs to be suspended for operation to check the leakage point and block after the leakage is found. This scheme has the following defects: first, global monitoring cannot accurately locate the leakage position, resulting in continuous diffusion of leakage until the location is completed, and the risk of environmental pollution is increased; second, the whole equipment shutdown will interrupt the pollutant treatment process, causing a significant decrease in treatment efficiency, and may also cause subsequent treatment overload; third, the maintenance process relies on manual guidance, and the blocking response is lagging, further expanding the leakage loss.

[0004] In addition, the existing technology does not design an adaptive scheme for the exclusive characteristics of the leakage medium of environmental protection equipment being pollutants, needing to consider the continuity of treatment and pollution prevention and control, lacks a hardware linkage architecture that can realize immediate tracing of leakage, rapid blocking and does not affect the overall operation of the equipment, and cannot fundamentally solve the environmental and operation dual risks caused by hidden leakage. Therefore, there is an urgent need for an operation state management scheme that adapts to the characteristics of environmental protection equipment to solve the technical pain points of hidden leakage tracing difficulty, blocking lag, and global shutdown loss. SUMMARY

[0005] The present application aims to provide an operation state intelligent management system and method for environmental protection equipment to solve the problems raised in the background art.

[0006] In order to solve the above technical problems, the present application provides the following technical scheme: An operation state intelligent management method for environmental protection equipment, comprising the following steps: S1. According to the physical structure of the environmental protection equipment and the type of the internal flow medium, the environmental protection equipment is divided into multiple independent partitions; a leakage monitoring sensor and a partition sealing actuator are respectively arranged in each independent partition, and the leakage monitoring sensor and the partition sealing actuator in the same independent partition are electrically connected through a hardware interface; a standby passage assembly is arranged between adjacent independent partitions, and the standby passage assembly is used to realize the medium flow between the adjacent independent partitions; S2. The leakage monitoring sensor of each independent partition collects the leakage characteristic signal of the partition in real time, and compares the collected leakage characteristic signal with a preset leakage threshold; S3. When the leakage characteristic signal collected by any leakage monitoring sensor of an independent partition exceeds the preset leakage threshold, the corresponding leakage monitoring sensor sends a trigger signal to the corresponding partition sealing actuator through the hardware interface, and the partition sealing actuator performs a sealing action after receiving the trigger signal to isolate the leaking independent partition; at the same time, the standby passage assembly of the adjacent independent partition is triggered to be turned on, so that the medium flow path of the environmental protection equipment is switched to the standby passage; S4. While the partition sealing actuator performs the sealing action, warning information containing the identification information and the specific location information of the leaking partition is generated, and the warning information is sent to an operation and maintenance terminal for maintenance of the leaking independent partition by an operation and maintenance personnel.

[0007] Further, S1 includes the following contents: The physical structure parameters of the environmental protection equipment and the characteristic parameters of the internal flow medium are obtained. If the environmental protection equipment is a pipeline type equipment, the physical structure parameters are extracted from the equipment design drawings, including the total length L of a single pipeline and the cross-sectional area Sg of the pipeline. If the environmental protection equipment is a cavity type equipment (such as a reaction cavity or a storage tank), the physical structure parameters are extracted from the equipment design drawings, including the volume V of the cavity and the cross-sectional area Sq of the cavity. The characteristic parameters are obtained through a medium detection report, including the medium viscosity μ and the medium corrosion grade C. The unit of the medium viscosity μ is mPa·s, and the medium corrosion grade C is an industry unified classification standard without physical unit, for example, C=1: mild corrosion, medium pH=6-8; C=2: moderate corrosion, pH=4-6 or 8-10, etc. The number N of independent partitions is calculated based on physical structure constraints and medium characteristic constraints, and the calculation formula is: N = ceil[(L1xC) / (L0xk x (1+μ / 100))], wherein L1 is a device reference length, L1=L in a pipeline device, and L1=V / Sq in a cavity device; L0 is a single segment safety reference length, which is determined based on industry pipeline or cavity conventional segmentation maintenance standards; k is a safety factor, which is determined according to the operating pressure grade of the environmental protection equipment, for example, 1.5-1.8 is taken when the pressure is greater than or equal to 0.6 MPa, and 1.2-1.5 is taken when the pressure is less than 0.6 MPa; (1+μ / 100) is a viscosity correction coefficient, which is unitless, and ceil() is a rounding up function; According to the number N of independent partitions, the partitions are evenly divided along the physical extension direction of the environmental protection equipment, the boundary distance d of adjacent partitions is L1 / N, and the boundary position avoids the key working area of the core functional components of the equipment, so as to ensure that the partition division does not affect the original processing function of the equipment. The core functional components of the equipment include reaction modules, filter components, valve cores, etc. A partition blocking actuator is arranged at the boundary of each independent partition, and a leakage monitoring sensor is arranged at a high-leakage position in the partition, so that the leakage monitoring sensor and the partition blocking actuator in the same partition are directly electrically connected through a hardware interface. The high-leakage position is an interface, a weld, or a sealing element installation position. A standby passage component is arranged outside the boundary of adjacent partitions, and the flow capacity of the standby passage component is greater than or equal to the design flow of the corresponding partition.

[0008] Further, S2 includes the following content: According to the form of the circulating medium inside the environmental protection equipment, the type of the leakage characteristic signal is determined, wherein the gas medium corresponds to the medium concentration signal, and the liquid medium corresponds to the leakage humidity signal or the medium concentration signal. The leakage monitoring sensor collects signals at the high-leakage position in the corresponding partition at a preset sampling frequency. The preset sampling frequency f is f0xC x (1+μ / 200), f0 is a basic sampling frequency, and (1+μ / 200) is a viscosity correction coefficient. In the scene where the corrosion is stronger and the medium diffusion speed is faster (the viscosity is lower), the sampling frequency is more intensive, which can quickly capture the implicit leakage signal, avoid missing detection caused by the diffusion escape of the low-viscosity high-risk medium after leakage, and avoid the waste of sensor power consumption and data redundancy caused by over-dense sampling of high-viscosity medium due to slow diffusion, thereby realizing the core goal of "risk adaptation and accurate monitoring".

[0009] A preset leakage threshold T is calculated based on the medium characteristics and the partition parameters, and T=T0×(C / k1)×(100 / (100+μ))×(d0 / d), wherein T0 is an industry standard leakage threshold corresponding to the medium, k1 is a corrosion influence correction coefficient, for example, according to industry standards, when C=1, k1=1.0, when C=2, k1=1.2, when C=3, k1=1.5, when C=4, k1=1.8, and when C=5, k2=2.0; d0 is an industry standard partition length, determined based on a conventional leakage control range; and (100 / (100+μ)) is an adaptive correction term; both the unit uniformity problem and the leakage diffusion characteristics of different media are solved, and detection failure or false triggering caused by a fixed threshold design is avoided. The leakage monitoring sensor of each independent partition compares the real-time collected leakage characteristic signal value with the calculated preset leakage threshold T frame by frame, forms a comparison result, and if the leakage characteristic signal value is greater than the preset leakage threshold T, it is determined that the leakage triggering condition is met, and S3 is entered, otherwise the signal collection and comparison state is continuously maintained.

[0010] Further, S3 includes the following content: When the leakage characteristic signal value collected by any leakage monitoring sensor of an independent partition is greater than the preset leakage threshold T, the corresponding leakage monitoring sensor continuously collects m frames of signals based on the preset sampling frequency f for secondary verification, and m=ceil(f×t0×(C / 3)), wherein t0 is a basic verification time; if there are more than or equal to (2 / 3)×m frames of signal values greater than the preset leakage threshold T in the m frames of signals, it is confirmed that the leakage is valid, and the subsequent steps are executed, otherwise it is determined that it is a transient interference, and S2 is continuously executed; The sealing pressure F of the partition sealing actuator is calculated based on the medium characteristics and the equipment operation parameters, and F=P×S×k2×C, wherein P is the operating pressure of the environmental protection equipment, obtained through the pressure sensor of the equipment; S is the pipe cross-sectional area Sg or the cavity cross-sectional area Sq, k2 is a sealing safety factor, determined based on the pressure resistance grade of the sealing actuator material; the partition sealing actuator performs a sealing action according to the calculated F value, and the action response time is less than or equal to 1 / f; The required opening flow Q1 of the backup passage is calculated, and Q1=Q0×(1+μ / 200), wherein Q0 is the design flow of the corresponding partition; the backup passage components of the adjacent independent partitions are opened according to the Q1 value, the flow rate is fed back in real time through the flow sensor to ensure that the flow deviation is less than or equal to ±5%×Q1, and the medium flow path switching is completed; after the partition sealing actuator action is completed, a sealing in-place signal is fed back through the position sensor of the partition sealing actuator; after the backup passage components are turned on, a flow rate compliance signal is fed back through the flow sensor; when the sealing in-place signal and the flow rate compliance signal are received at the same time, it is confirmed that S3 is executed, otherwise the sealing action and the passage opening action are repeatedly triggered.

[0011] Further, S4 includes the following content: Based on the independent partition division result, the starting coordinate X0 of the leakage partition is obtained, the preset installation relative coordinate Xr of the leakage monitoring sensor in the leakage partition is combined, the leakage absolute coordinate X is calculated, and X=X0+Xr; at the same time, the peak intensity I of the leakage characteristic signal collected by the leakage monitoring sensor is used to calculate the correction coefficient a, and a=1-(|I-T| / (I_max-T)), wherein I_max is the full-scale signal value of the leakage monitoring sensor; and finally the leakage position accuracy is X±(d×(1-a) / 2); Based on the medium characteristics and the equipment operation parameters, the leakage risk level R is calculated, and R=ceil[C×(P / P0)×(100 / (100+μ))], wherein P0 is a standard reference pressure, which is determined based on the conventional operation pressure benchmark of the environmental protection equipment; the value range of the leakage risk level R is 1-5 levels, and the higher the level, the higher the risk; According to the order of the leakage risk level R from large to small, the corresponding early warning information is output, and the early warning information includes leakage partition identification information, leakage absolute coordinate X and accuracy range.

[0012] An intelligent management system for the running state of environmental protection equipment, comprising: a partition deployment module, a leakage monitoring module, a plugging switching module, and a pre-warning operation and maintenance module; The partition deployment module is used to obtain the physical structure and medium characteristic parameters of the environmental protection equipment, calculate the number of independent partitions and divide the boundaries, and deploy monitoring, plugging and standby path components; The leakage monitoring module is used to determine the type of leakage characteristic signal, configure the sampling frequency and leakage threshold, collect signals in real time and compare and determine; The plugging switching module is used to verify the validity of the leakage, calculate the plugging pressure and the standby path flow, and execute the partition plugging and the switching of the medium flow path; The pre-warning operation and maintenance module is used to accurately locate the leakage position, calculate the leakage risk level, generate the pre-warning information and push it to the operation and maintenance terminal.

[0013] Further, the partition deployment module includes a parameter acquisition unit and a partition deployment unit; The parameter acquisition unit is used to acquire the physical structure parameters of the environmental protection equipment and the characteristic parameters of the internal flow medium, and adapt to the parameter acquisition requirements of pipeline and cavity equipment; The partition deployment unit is used to calculate the number of independent partitions based on the acquired parameters, divide the partition boundaries and avoid core functional components, and complete the deployment and hardware connection of sensors, plugging actuators and standby path components.

[0014] Further, the leakage monitoring module includes a monitoring parameter configuration unit and a signal acquisition and comparison unit; The monitoring parameter configuration unit determines the type of leakage characteristic signal based on the medium morphology, and dynamically configures the sampling frequency and preset leakage threshold by combining the medium characteristics and zoning parameters. The signal acquisition and comparison unit acquires leakage characteristic signals at the configured sampling frequency, compares the real-time signals with the preset leakage threshold frame by frame, and outputs the leakage trigger determination result.

[0015] Furthermore, the blocking and switching module includes a leak verification unit and an action execution unit; After receiving a leak trigger signal, the leak verification unit performs secondary verification by continuously acquiring multiple frames of signals to eliminate transient interference and confirm the effectiveness of the leak. The action execution unit calculates the appropriate blocking pressure and backup path opening flow, triggers the partition blocking actuator to operate and the backup path to open, and confirms the blocking is in place and the flow rate meets the standard through sensor feedback.

[0016] Furthermore, the early warning and maintenance module includes a leak location unit and an early warning generation unit; The leak location unit calculates the absolute coordinates of the leak by combining the starting coordinates of the partition with the relative coordinates of the sensor installation, and corrects the location accuracy by the peak signal intensity. The early warning generation unit calculates the leakage risk level based on the medium characteristics and equipment operating parameters, generates early warning information including partition identifiers and precise locations according to priority, and pushes it to the operation and maintenance terminal to guide targeted maintenance.

[0017] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention achieves real-time and accurate source tracing and local isolation sealing of leaks by dividing environmental protection equipment into independent zones according to the physical structure and media type, and deploying a hardware direct-connection architecture of leak monitoring sensors, zone sealing actuators, and backup path components. This eliminates the need to stop the entire equipment operation, solving the problems of difficulty in global monitoring and positioning, interruption of the treatment process due to downtime for maintenance, and reduced processing efficiency, thus ensuring the continuous operation of environmental protection equipment. Based on media characteristics and zone parameters, this invention dynamically adjusts the sampling frequency and preset leak threshold. Simultaneously, it eliminates instantaneous interference through secondary verification of multi-frame signals, avoiding the defects of missed detection and false triggering in traditional fixed-parameter monitoring modes. This achieves risk adaptation and accurate monitoring, improving the reliability and specificity of leak detection. By dynamically calculating the sealing pressure of the zone sealing actuator and the opening flow of the backup path, this invention ensures the effectiveness of the sealing action and the flow matching of the path switching. Furthermore, it achieves millisecond-level response through direct hardware interface connection, solving the problems of delayed sealing response, insecure sealing, and unstable path switching in existing technologies. This quickly curbs the spread of leaks and reduces the risk of secondary environmental pollution. This invention combines partition coordinates and signal strength to correct the accuracy of leak location, and guides maintenance priorities by quantifying risk levels, enabling maintenance personnel to quickly locate leaks and carry out targeted repairs. This avoids the blindness and inefficiency of traditional manual inspections, shortens the maintenance cycle, and reduces economic losses and environmental damage caused by leaks. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a module of an intelligent management system for the operating status of environmental protection equipment according to the present invention; Figure 2 This is a schematic diagram of the partitioned deployment of an intelligent management method for the operating status of environmental protection equipment according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see Figure 1 The present invention provides the following technical solution: An intelligent management system for the operation status of environmental protection equipment includes: a zone deployment module, a leakage monitoring module, a sealing switching module, and an early warning and maintenance module; The partition deployment module is used to obtain the physical structure and media characteristic parameters of environmental protection equipment, calculate the number of independent partitions and delineate boundaries, and deploy monitoring, blocking and backup path components. The leakage monitoring module is used to determine the type of leakage characteristic signal, configure the sampling frequency and leakage threshold, and collect signals in real time for comparison and judgment. The plugging and switching module is used to verify the effectiveness of the leak, calculate the plugging pressure and the flow rate of the backup path, and perform zone plugging and switching of the medium flow path. The early warning and maintenance module is used to accurately locate the leak location, calculate the leak risk level, generate early warning information, and push it to the maintenance terminal.

[0021] The partition deployment module includes a parameter acquisition unit and a partition deployment unit; The parameter acquisition unit is used to collect the physical structure parameters and characteristic parameters of the internal circulating medium of environmental protection equipment, and is adapted to the parameter acquisition needs of pipeline and cavity equipment. The partition deployment unit is used to calculate the number of independent partitions based on the collected parameters, divide the partition boundaries and avoid core functional components, and complete the deployment and hardware connection of sensors, blocking actuators and backup path components.

[0022] The leak monitoring module includes a monitoring parameter configuration unit and a signal acquisition and comparison unit; The monitoring parameter configuration unit determines the type of leakage characteristic signal based on the medium morphology, and dynamically configures the sampling frequency and preset leakage threshold by combining the medium characteristics and zoning parameters. The signal acquisition and comparison unit acquires leakage characteristic signals at the configured sampling frequency, compares the real-time signals with the preset leakage threshold frame by frame, and outputs the leakage trigger determination result.

[0023] The plugging and switching module includes a leak verification unit and an action execution unit; After receiving a leak trigger signal, the leak verification unit performs secondary verification by continuously acquiring multiple frames of signals to eliminate transient interference and confirm the effectiveness of the leak. The action execution unit calculates the appropriate blocking pressure and backup path opening flow, triggers the partition blocking actuator to operate and the backup path to open, and confirms the blocking is in place and the flow rate meets the standard through sensor feedback.

[0024] The early warning and maintenance module includes a leak location unit and an early warning generation unit; The leak location unit calculates the absolute coordinates of the leak by combining the starting coordinates of the partition with the relative coordinates of the sensor installation, and corrects the location accuracy by the peak signal intensity. The early warning generation unit calculates the leakage risk level based on the medium characteristics and equipment operating parameters, generates early warning information including partition identifiers and precise locations according to priority, and pushes it to the operation and maintenance terminal to guide targeted maintenance.

[0025] A method for intelligent management of the operating status of environmental protection equipment includes the following steps: S1. Based on the physical structure of the environmental protection equipment and the type of internal circulating medium, the environmental protection equipment is divided into multiple independent zones; a leak monitoring sensor and a zone sealing actuator are deployed in each independent zone, and the leak monitoring sensor and the zone sealing actuator in the same independent zone are electrically connected through a hardware interface; a backup path component is deployed between adjacent independent zones, and the backup path component is used to realize the medium flow between adjacent independent zones; S2. The leakage monitoring sensors in each independent zone collect leakage characteristic signals of their respective zones in real time and compare the collected leakage characteristic signals with preset leakage thresholds; S3. When the leakage characteristic signal collected by the leakage monitoring sensor of any independent zone exceeds the preset leakage threshold, the corresponding leakage monitoring sensor sends a trigger signal to the corresponding zone blocking actuator through the hardware interface. After receiving the trigger signal, the zone blocking actuator performs the blocking action to isolate the leaking independent zone. At the same time, it triggers the backup path component of the adjacent independent zone to be turned on, so that the media flow path of the environmental protection equipment is switched to the backup path. S4. While the partition blocking actuator is performing the blocking action, it generates an early warning message containing the identification information and specific location information of the leaking partition, and sends the early warning message to the operation and maintenance terminal so that the operation and maintenance personnel can inspect and repair the leaking independent partition.

[0026] S1 includes the following: Obtain the physical structural parameters and characteristic parameters of the internal circulating medium of the environmental protection equipment. If the environmental protection equipment is a pipeline type, extract the physical structural parameters from the equipment design drawings, including the total length L of a single pipeline section and the cross-sectional area Sg of the pipeline. If the environmental protection equipment is a cavity type (such as a reaction cavity or storage tank), extract the physical structural parameters from the equipment design drawings, including the cavity volume V and the cavity cross-sectional area Sq. Obtain the characteristic parameters from the medium testing report, including the medium viscosity μ and the medium corrosivity grade C. The unit of medium viscosity μ is mPa·s, and the medium corrosivity grade C is a unified industry grading standard without physical units. For example, C=1: mild corrosion, medium pH=6-8; C=2: moderate corrosion, pH=4-6 or 8-10, etc. The number of independent partitions N is calculated based on physical structure constraints and media characteristic constraints. The calculation formula is: N=ceil[(L1×C) / (L0×k×(1+μ / 100))], where L1 is the equipment reference length, L1=L for pipeline equipment and L1=V / Sq for cavity equipment; L0 is the single-segment safety reference length, determined based on the industry's conventional segmented maintenance standards for pipelines or cavities; k is the safety factor, determined according to the operating pressure level of the environmental protection equipment, for example, 1.5-1.8 when the pressure is ≥0.6MPa and 1.2-1.5 when the pressure is <0.6MPa; (1+μ / 100) is the viscosity correction factor, which has no unit, and ceil() is the round-up function; Based on the number N of independent zones, the environmental protection equipment is evenly divided into zones along its physical extension direction. The boundary distance between adjacent zones is d=L1 / N, and the boundary positions avoid the critical working areas of the core functional components of the equipment to ensure that the zoning does not affect the original processing functions of the equipment. The core functional groups of the equipment include reaction modules, filter components, valve cores, etc. Zone sealing actuators are deployed at the boundary of each independent zone, and leakage monitoring sensors are deployed at high leakage locations within the zone. The leakage monitoring sensors and zone sealing actuators in the same zone are directly electrically connected through a hardware interface. High leakage locations are interfaces, welds, and seal installation points. Backup passage components are deployed outside the boundary of adjacent zones, and the flow capacity of the backup passage components is greater than or equal to the media design flow rate of the corresponding zone.

[0027] In this embodiment, as Figure 2 As shown, assuming the number of independent zones in the environmental protection equipment is N=2, when a leak occurs in the second independent zone 2, the zone blocking actuator connecting the second independent zone 2 and the first independent zone 1 is controlled to perform a blocking action, and the zone blocking actuator corresponding to the backup channel is controlled to perform an opening action, thereby achieving local isolation and blocking of the leaking zone, while ensuring the continuity of the environmental protection equipment medium flow through the backup channel.

[0028] In this embodiment, taking cavity-type environmental protection equipment as an example, the following parameters are assumed to exist: Equipment parameters: cavity volume V=50m³, cavity cross-sectional area Sq=5m², operating pressure P=0.7MPa (≥0.6MPa); Medium parameters: The medium is concentrated sulfuric acid, viscosity μ=25mPa・s, corrosion grade C=5 (severe corrosion, pH=1); Values: L0 = 5m (standard safe length for cavity segmentation in the industry), k = 1.6 (safety factor for pressure ≥ 0.6MPa); Calculation: L1 = V / Sq = 50 / 5 = 10m, Substituting into the formula: N=ceil[(10×5) / (5×1.6×(1+25 / 100))]=ceil[50 / 10]=5.

[0029] Therefore, the cavity is divided into 5 independent zones, with the distance between adjacent zone boundaries d=10 / 5=2m, and the boundaries avoid the critical areas of the reaction module.

[0030] S2 includes the following: Based on the form of the medium flowing inside the environmental protection equipment, the type of leakage characteristic signal is determined. Among them, gaseous media correspond to the medium concentration signal, and liquid media correspond to the leakage humidity signal or medium concentration signal. The leakage monitoring sensor collects signals at the high-incidence leakage location of the corresponding zone at a preset sampling frequency. The preset sampling frequency f = f0 × C × (1 + μ / 200), where f0 is the basic sampling frequency and (1 + μ / 200) is the viscosity correction coefficient. It is ensured that the more corrosive the environment and the faster the medium diffusion speed (the lower the viscosity), the denser the sampling frequency. This can quickly capture hidden leakage signals and avoid missed detection due to diffusion and escape of low-viscosity high-risk media after leakage. It can also avoid sensor power consumption waste and data redundancy caused by excessively dense sampling of high-viscosity media due to slow diffusion. This achieves the core goal of "risk adaptation and accurate monitoring".

[0031] The preset leakage threshold T is calculated based on the medium characteristics and partition parameters, and T = T0 × (C / k1) × (100 / (100+μ)) × (d0 / d), where T0 is the industry benchmark leakage threshold corresponding to the medium, k1 is the corrosion influence correction coefficient, for example, according to industry standards, k1=1.0 when C=1, k1=1.2 when C=2, k1=1.5 when C=3, k1=1.8 when C=4, and k2=2.0 when C=5; d0 is the industry standard partition length, determined based on the conventional leakage control range; (100 / (100+μ)) is an adaptive correction term; this solves the problem of unit uniformity and allows the threshold to match the leakage diffusion characteristics of different media, avoiding detection failure or false triggering caused by fixed threshold design. Each independent zone's leakage monitoring sensor will compare the real-time collected leakage characteristic signal value with the calculated preset leakage threshold T frame by frame to form a comparison result. If the leakage characteristic signal value is greater than the preset leakage threshold T, it is determined to be a leakage trigger condition, and the process will switch to S3; otherwise, the signal acquisition and comparison state will continue.

[0032] In this embodiment, it is assumed that the internal circulating medium of the environmental protection equipment is a low-viscosity, low-corrosion medium, and therefore: Parameters: f0=1Hz (basic sampling frequency, industry standard), C=1, μ=1mPa·s; T0=50ppm (industry benchmark threshold for wastewater leakage), k1=1.0, d0=10m (industry standard zoning length), d≈11.1m; Calculation: Sampling frequency f = 1 × 1 × (1 + 1 / 200) = 1.005 Hz ≈ 1 Hz; The leakage threshold T = 50 × (1 / 1.0) × (100 / (100+1)) × (10 / 11.1) ≈ 50 × 0.99 × 0.9 ≈ 44.6 ppm; Therefore, a sampling frequency of 1 time / second and a signal value > 44.6 ppm are determined to be leakage trigger conditions, which is suitable for monitoring the needs of low-risk media.

[0033] S3 includes the following: When the leakage characteristic signal value collected by the leakage monitoring sensor in any independent partition is greater than the preset leakage threshold T, the corresponding leakage monitoring sensor continuously collects m frames of signals based on the preset sampling frequency f for secondary verification, and m = ceil(f × t0 × (C / 3)), where t0 is the basic verification duration; if there are signal values ​​greater than or equal to (2 / 3) × m frames in the m frames that are all greater than the preset leakage threshold T, then the leakage is confirmed to be valid and the subsequent steps are executed; otherwise, it is determined to be transient interference and S2 is continued. In this implementation, it is assumed that the internal circulating medium of the environmental protection equipment is a high-viscosity and highly corrosive medium. It is known that a signal value > 50ppm is determined to be a leakage trigger condition. We have: f = 11Hz, t0 = 0.3s, C = 5; Calculation: m = ceil(11 × 0.3 × (5 / 3)) = ceil(5.5) = 6 frames; 6 frames of signals are continuously collected. If the signal value of ≥ 4 frames (2 / 3 × 6) is > 50ppm, the leakage is confirmed to be effective and sealing is performed; otherwise, it is determined to be transient interference.

[0034] The blocking pressure F of the partition blocking actuator is calculated based on the medium characteristics and equipment operating parameters, and F = P × S × k2 × C, where P is the operating pressure of the environmental protection equipment, obtained through the pressure sensor built into the equipment; S is the cross-sectional area of ​​the pipeline Sg or the cross-sectional area of ​​the cavity Sq; k2 is the blocking safety factor, determined based on the pressure resistance rating of the blocking actuator material; the partition blocking actuator performs the blocking action according to the calculated F value, and the action response time is ≤ 1 / f; Calculate the required opening flow rate Q1 for the backup path, where Q1 = Q0 × (1 + μ / 200), and Q0 is the design flow rate of the medium in the corresponding partition. Trigger the backup path components of adjacent independent partitions to open according to the Q1 value, and use the flow sensor to provide real-time feedback of the path flow rate to ensure that the flow deviation is ≤ ±5% × Q1, thus completing the medium flow path switching. After the partition blocking actuator completes its action, it provides feedback of the blocking in place signal through its built-in position sensor. After the backup path component is turned on, it provides feedback of the flow rate meeting the standard signal through the flow sensor. When both the blocking in place signal and the flow rate meeting the standard signal are received simultaneously, confirm that S3 has been completed; otherwise, repeat the blocking action and the path opening action.

[0035] In this embodiment, taking cavity-type environmental protection equipment as an example, it is assumed that: Parameters: P=0.7MPa (equipment operating pressure), S=Sq=5m² (cavity cross-sectional area), k2=1.3 (pressure resistance rating compatibility coefficient of sealing actuator material), C=5; Calculation: F=0.7×5×1.3×5=22.75MPa; The partition blocking actuator performs the blocking action at 22.75MPa, and the action response time is ≤1 / 11≈0.09s.

[0036] S4 includes the following: Based on the independent partitioning results, the starting coordinate X0 of the leakage partition is obtained. Combined with the preset relative installation coordinate Xr of the leakage monitoring sensor within the leakage partition, the absolute leakage coordinate X is calculated, and X = X0 + Xr. At the same time, the correction coefficient α is calculated by using the peak intensity I of the leakage characteristic signal collected by the leakage monitoring sensor, and α = 1 - (|IT| / (I_max-T)), where I_max is the full-scale signal value of the leakage monitoring sensor. The final leakage location accuracy is X ± (d × (1-α) / 2). Based on the characteristics of the medium and the operating parameters of the equipment, the leakage risk level R is calculated, and R = ceil[C × (P / P0) × (100 / (100+μ))], where P0 is the standard reference pressure, which is determined based on the normal operating pressure benchmark of the environmental protection equipment; the leakage risk level R ranges from 1 to 5, and the higher the level, the higher the risk. According to the leakage risk level R in descending order, the corresponding early warning information is output. The early warning information includes leakage zone identification information, absolute leakage coordinates X and accuracy range.

[0037] In this implementation, the following parameters are given: starting coordinate of the leakage zone X0 = 8m, relative coordinate of sensor installation Xr = 1m; signal peak value I = 60ppm, T = 50ppm, I_max = 100ppm (sensor full scale), d = 2m; calculations are as follows: The absolute coordinates X = 8 + 1 = 9m; the correction coefficient α = 1 - (|60 - 50| / (100 - 50)) = 1 - (10 / 50) = 0.8; the position accuracy is 9 ± (2 × (1 - 0.8) / 2) = 9 ± 0.2m; therefore, the precise location of the leak is 8.8-9.2m, and maintenance personnel can quickly locate the leak point.

[0038] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0039] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent management of the operating status of environmental protection equipment, characterized in that: The method includes the following steps: S1. Based on the physical structure of the environmental protection equipment and the type of internal circulating medium, the environmental protection equipment is divided into multiple independent zones; a leak monitoring sensor and a zone sealing actuator are deployed in each independent zone, and the leak monitoring sensor and the zone sealing actuator in the same independent zone are electrically connected through a hardware interface; a backup path component is deployed between adjacent independent zones, and the backup path component is used to realize the medium flow between adjacent independent zones; S2. The leakage monitoring sensors in each independent zone collect leakage characteristic signals of their respective zones in real time and compare the collected leakage characteristic signals with preset leakage thresholds; S3. When the leakage characteristic signal collected by the leakage monitoring sensor of any independent zone exceeds the preset leakage threshold, the corresponding leakage monitoring sensor sends a trigger signal to the corresponding zone blocking actuator through the hardware interface. After receiving the trigger signal, the zone blocking actuator performs the blocking action to isolate the leaking independent zone. At the same time, it triggers the backup path component of the adjacent independent zone to be turned on, so that the media flow path of the environmental protection equipment is switched to the backup path. S4. While the partition blocking actuator is performing the blocking action, it generates an early warning message containing the identification information and specific location information of the leaking partition, and sends the early warning message to the operation and maintenance terminal so that the operation and maintenance personnel can inspect and repair the leaking independent partition.

2. The intelligent management method for the operating status of environmental protection equipment according to claim 1, characterized in that: S1 includes the following: Obtain the physical structural parameters and characteristic parameters of the internal circulating medium of the environmental protection equipment. If the environmental protection equipment is a pipeline type, extract the physical structural parameters from the equipment design drawings, including the total length L of a single pipeline section and the cross-sectional area Sg of the pipeline. If the environmental protection equipment is a cavity type, extract the physical structural parameters from the equipment design drawings, including the cavity volume V and the cross-sectional area Sq of the cavity. Characteristic parameters, including medium viscosity μ and medium corrosivity grade C, are uniformly obtained through medium testing reports; The number of independent partitions N is calculated based on physical structure constraints and medium characteristic constraints. The calculation formula is: N=ceil[(L1×C) / (L0×k×(1+μ / 100))], where L1 is the equipment reference length. For pipeline equipment, L1=L, and for cavity equipment, L1=V / Sq. L0 is the single-segment safety baseline length, k is the safety factor, and ceil() is the floor function; Based on the number N of independent zones, the zones are evenly divided along the physical extension direction of the environmental protection equipment. The boundary distance between adjacent zones is d=L1 / N, and the boundary position avoids the critical working area of ​​the core functional components of the equipment. Zone sealing actuators are deployed at the boundary of each independent zone, and leakage monitoring sensors are deployed at high leakage locations within the zone. The leakage monitoring sensors and zone sealing actuators in the same zone are directly electrically connected through a hardware interface. Backup path components are deployed outside the boundary of adjacent zones, and the flow capacity of the backup path components is greater than or equal to the media design flow rate of the corresponding zone.

3. The intelligent management method for the operating status of environmental protection equipment according to claim 2, characterized in that: S2 includes the following: Based on the form of the internal circulating medium of the environmental protection equipment, the leakage characteristic signal type is determined. Among them, the gas medium corresponds to the medium concentration signal, and the liquid medium corresponds to the leakage humidity signal or the medium concentration signal. The leakage monitoring sensor collects signals at the high leakage location of the corresponding zone at a preset sampling frequency. The preset sampling frequency f = f0 × C × (1 + μ / 200), where f0 is the basic sampling frequency and (1 + μ / 200) is the viscosity correction coefficient. The preset leakage threshold T is calculated based on the medium characteristics and partition parameters, and T = T0 × (C / k1) × (100 / (100+μ)) × (d0 / d), where T0 is the industry benchmark leakage threshold corresponding to the medium, k1 is the corrosion influence correction coefficient, d0 is the industry standard partition length; (100 / (100+μ)) is the adaptive correction term. Each independent zone's leakage monitoring sensor will compare the real-time collected leakage characteristic signal value with the calculated preset leakage threshold T frame by frame to form a comparison result. If the leakage characteristic signal value is greater than the preset leakage threshold T, it is determined to be a leakage trigger condition, and the process will switch to S3; otherwise, the signal acquisition and comparison state will continue.

4. The intelligent management method for the operating status of environmental protection equipment according to claim 3, characterized in that: S3 includes the following: When the leakage characteristic signal value collected by the leakage monitoring sensor in any independent partition is greater than the preset leakage threshold T, the corresponding leakage monitoring sensor continuously collects m frames of signals based on the preset sampling frequency f for secondary verification, and m = ceil(f × t0 × (C / 3)), where t0 is the basic verification duration; if there are signal values ​​greater than or equal to (2 / 3) × m frames in the m frames that are all greater than the preset leakage threshold T, then the leakage is confirmed to be valid and the subsequent steps are executed; otherwise, it is determined to be transient interference and S2 is continued. The blocking pressure F of the partition blocking actuator is calculated based on the medium characteristics and equipment operating parameters, and F = P × S × k2 × C, where P is the operating pressure of the environmental protection equipment, obtained through the pressure sensor built into the equipment; S is the cross-sectional area of ​​the pipeline Sg or the cross-sectional area of ​​the cavity Sq; k2 is the blocking safety factor, determined based on the pressure resistance rating of the blocking actuator material; the partition blocking actuator performs the blocking action according to the calculated F value, and the action response time is ≤ 1 / f; Calculate the required opening flow rate Q1 for the backup path, where Q1 = Q0 × (1 + μ / 200), and Q0 is the design flow rate of the medium in the corresponding partition. Trigger the backup path components of adjacent independent partitions to open according to the Q1 value, and use the flow sensor to provide real-time feedback of the path flow rate to ensure that the flow deviation is ≤ ±5% × Q1, thus completing the medium flow path switching. After the partition blocking actuator completes its action, it provides feedback of the blocking in place signal through its built-in position sensor. After the backup path component is turned on, it provides feedback of the flow rate meeting the standard signal through the flow sensor. When both the blocking in place signal and the flow rate meeting the standard signal are received simultaneously, confirm that S3 has been completed; otherwise, repeat the blocking action and the path opening action.

5. The intelligent management method for the operating status of environmental protection equipment according to claim 4, characterized in that: S4 includes the following: Based on the independent partitioning results, the starting coordinate X0 of the leakage partition is obtained. Combined with the preset relative installation coordinate Xr of the leakage monitoring sensor within the leakage partition, the absolute leakage coordinate X is calculated, and X = X0 + Xr. At the same time, the correction coefficient α is calculated by using the peak intensity I of the leakage characteristic signal collected by the leakage monitoring sensor, and α = 1 - (|IT| / (I_max-T)), where I_max is the full-scale signal value of the leakage monitoring sensor. The final leakage location accuracy is X ± (d × (1-α) / 2). Based on the characteristics of the medium and the operating parameters of the equipment, the leakage risk level R is calculated, and R = ceil[C × (P / P0) × (100 / (100+μ))], where P0 is the standard reference pressure, which is determined based on the normal operating pressure benchmark of the environmental protection equipment; the leakage risk level R ranges from 1 to 5, and the higher the level, the higher the risk. According to the leakage risk level R in descending order, the corresponding early warning information is output. The early warning information includes leakage zone identification information, absolute leakage coordinates X and accuracy range.

6. An intelligent management system for the operating status of environmental protection equipment, applied to the intelligent management method for the operating status of environmental protection equipment as described in any one of claims 1-5, characterized in that: The system includes: a partitioned deployment module, a leakage monitoring module, a blocking and switching module, and an early warning and maintenance module; The partition deployment module is used to obtain the physical structure and medium characteristic parameters of environmental protection equipment, calculate the number of independent partitions and delineate boundaries, and deploy monitoring, blocking and backup path components. The leakage monitoring module is used to determine the type of leakage characteristic signal, configure the sampling frequency and leakage threshold, and collect signals in real time for comparison and judgment. The plugging and switching module is used to verify the effectiveness of the leak, calculate the plugging pressure and the flow rate of the backup path, and perform zone plugging and medium flow path switching. The early warning and maintenance module is used to accurately locate the leak location, calculate the leak risk level, generate early warning information, and push it to the maintenance terminal.

7. The intelligent management system for the operating status of environmental protection equipment according to claim 6, characterized in that: The partition deployment module includes a parameter acquisition unit and a partition deployment unit; The parameter acquisition unit is used to acquire the physical structure parameters and characteristic parameters of the internal flow medium of the environmental protection equipment, adapting to the parameter acquisition needs of pipeline and cavity equipment. The partition deployment unit is used to calculate the number of independent partitions based on the collected parameters, divide the partition boundaries and avoid core functional components, and complete the deployment and hardware connection of sensors, blocking actuators and backup path components.

8. The intelligent management system for the operating status of environmental protection equipment according to claim 6, characterized in that: The leakage monitoring module includes a monitoring parameter configuration unit and a signal acquisition and comparison unit; The monitoring parameter configuration unit determines the leakage characteristic signal type based on the medium morphology, and dynamically configures the sampling frequency and preset leakage threshold in combination with medium characteristics and partition parameters. The signal acquisition and comparison unit acquires leakage characteristic signals according to the configured sampling frequency, compares the real-time signals with the preset leakage threshold frame by frame, and outputs the leakage trigger determination result.

9. The intelligent management system for the operating status of environmental protection equipment according to claim 6, characterized in that: The blocking switching module includes a leakage verification unit and an action execution unit; After receiving a leakage trigger signal, the leakage verification unit performs secondary verification by continuously acquiring multiple frames of signals to eliminate instantaneous interference and confirm the effectiveness of the leakage. The action execution unit calculates the appropriate blocking pressure and the backup path opening flow, triggers the partition blocking actuator to operate and the backup path to be opened, and confirms the blocking is in place and the flow rate meets the standard through sensor feedback.

10. The intelligent management system for the operating status of environmental protection equipment according to claim 6, characterized in that: The early warning and maintenance module includes a leak location unit and an early warning generation unit; The leak location unit calculates the absolute coordinates of the leak by combining the starting coordinates of the partition with the relative coordinates of the sensor installation, and corrects the location accuracy by the peak signal intensity. The early warning generation unit calculates the leakage risk level based on the medium characteristics and equipment operating parameters, generates early warning information including partition identifiers and precise locations according to priority, and pushes it to the operation and maintenance terminal to guide targeted maintenance.

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