Electrical accessory state monitoring method and system for drainage equipment

Abstract

The invention provides a method and system for monitoring the state of an electrical accessory of drainage equipment, and relates to the technical field of state monitoring, and the method comprises the steps: obtaining the accessory information of the electrical accessory of the drainage equipment, according to the historical operation data of the drainage equipment, obtaining associated accessory parameters, parameter associated paths and associated coefficients of the electrical accessories under all accessory connection relations; obtaining parameter data of each current accessory parameter of each electrical accessory; for associated accessory parameters in the various accessory parameters, according to the parameter association path and the association coefficient, obtaining actual parameter values of the associated accessory parameters after the association influence is removed; and judging whether the actual parameter value is in a normal range or not according to a preset parameter threshold value. According to the invention, hidden faults covered by other accessories in the system can be effectively revealed, and early warning and accurate positioning are realized, so that the reliability and maintenance efficiency of drainage equipment are greatly improved, and safe and stable operation of the system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of condition monitoring, and more particularly, to a method and system for monitoring the condition of electrical accessories of drainage equipment. Background Art

[0002] The electrical accessories of drainage equipment are key components to ensure the normal operation of the drainage system, mainly used for controlling, monitoring, and protecting drainage equipment. By continuously monitoring the condition of electrical accessories, potential problems can be identified before a failure occurs, enabling preventive measures to be taken to avoid downtime caused by sudden failures. Currently, existing monitoring methods mainly focus on the condition thresholds of electrical accessories. In addition to conventional threshold alarms, they also include intelligent prediction based on big data and artificial intelligence. However, in actual use, there are still cases where some electrical accessories have problems (such as performance degradation, parameter anomalies, or potential failures), but due to the compensation effect or mutual influence of other electrical accessories in the system, the entire system can still maintain a seemingly "normal" operating state. This situation is a typical hidden failure, which may lead to more serious consequences if not discovered and addressed in a timely manner.

[0003] Therefore, how to provide a method and system that can effectively monitor hidden failures of electrical accessories of drainage equipment is an urgent problem to be solved at present. Summary of the Invention

[0004] To address the above problems, the present invention provides a method and system for monitoring the condition of electrical accessories of drainage equipment.

[0005] In a first aspect of an embodiment of the present invention, a method for monitoring the condition of electrical accessories of drainage equipment is provided. The method includes: Obtaining accessory information of electrical accessories of drainage equipment, where the accessory information includes the accessory type, the number of accessories, and the accessory connection relationship of the electrical accessories, and the accessory connection relationship includes at least one of an electrical signal connection relationship, a circuit connection relationship, and a mechanical connection relationship; Obtaining associated accessory parameters, parameter association paths, and correlation coefficients of electrical accessories under each accessory connection relationship based on historical operation data of the drainage equipment; Obtaining parameter data of current accessory parameters of each electrical accessory; For the associated accessory parameters among the accessory parameters, obtaining the actual parameter values of the associated accessory parameters after removing the associated influence according to the parameter association path and the correlation coefficient; Judging whether the actual parameter values are within the normal range according to a preset parameter threshold, and generating corresponding warning information based on the judgment result.

[0006] Optionally, the step of obtaining the associated component parameters, parameter association paths, and correlation coefficients of electrical components under various component connection relationships based on the historical operation data of the drainage device specifically includes: Obtain the historical operation data of the drainage device, where the historical operation data includes the historical component parameter data of each electrical component; Determine the component association paths of multiple electrical components in a component connection relationship according to the device working principle of the drainage device; Extract the historical component parameter data of multiple electrical components on the same component association path from the historical operation data; Perform a correlation analysis on the extracted historical component parameter data, determine the component parameters that will affect the component parameters of other electrical components when the parameter status changes, and use both the affecting component parameters and the affected component parameters as associated component parameters; Obtain the parameter association path according to the influence order of other associated component parameters when the status of the associated component parameters changes; Calculate the correlation coefficient according to the influence value of other associated component parameters when the status of the associated component parameters changes.

[0007] Optionally, the step of determining the component association paths of multiple electrical components in a component connection relationship according to the device working principle of the drainage device specifically includes: Determine the component association paths of multiple electrical components in the electrical signal connection relationship according to the control signal transmission logic of the drainage device.

[0008] Optionally, the step of determining the component association paths of multiple electrical components in a component connection relationship according to the device working principle of the drainage device specifically includes: Determine the component association paths of multiple electrical components in the circuit connection relationship according to the power supply logic of the drainage device.

[0009] Optionally, the step of determining the component association paths of multiple electrical components in a component connection relationship according to the device working principle of the drainage device specifically includes: Determine the component association paths of multiple electrical components in the mechanical connection relationship according to the physical structure of the drainage device.

[0010] Optionally, the step of obtaining the actual parameter values of the associated component parameters after removing the associated influence according to the parameter association path and the correlation coefficient for the associated component parameters in each state parameter specifically includes: Obtain the parameter values of other associated component parameters in the parameter association path where the current associated component parameter is located; Calculate the correlation influence values of other associated component parameters on the current associated component parameter according to the correlation coefficients respectively; Subtract the correlation influence value from the parameter value of the current associated component parameter to obtain the actual parameter value of the current associated component parameter.

[0011] Optionally, the step of obtaining the actual parameter value of the associated component parameter after removing the correlation influence according to the parameter correlation path and the correlation coefficient for the associated component parameter in each state parameter specifically further includes: When there are multiple levels of correlation influence in the parameter correlation path where the current associated component parameter is located, calculate the correlation influence value starting from the other associated component parameter that is farthest from the current associated component parameter in the parameter correlation path.

[0012] Optionally, the step of judging whether the actual parameter value is within the normal range according to the preset parameter threshold specifically includes: If both the parameter value and the actual parameter value of the current associated component parameter are within the normal range, it is judged that the electrical component is in a normal state; If both the parameter value and the actual parameter value of the current associated component parameter are not within the normal range, it is judged that the electrical component is in an abnormal state; If the parameter value of the current associated component parameter is within the normal range and the actual parameter value is not within the normal range, it is judged that the electrical component is in a latent fault state; If the parameter value of the current associated component parameter is not within the normal range and the actual parameter value is within the normal range, it is judged that the electrical component is in an affected fault state.

[0013] Optionally, the step of generating corresponding warning information based on the judgment result specifically includes: When it is judged that the electrical component is in a latent fault state, the warning information generated includes other associated component parameters that cause the electrical component to be in a latent fault state, and the electrical components corresponding to the other associated component parameters respectively.

[0014] In the second aspect of the embodiments of the present invention, there is provided an electrical component state monitoring system for a drainage device, including: An information acquisition unit, configured to acquire the component information of the electrical components of the drainage device, where the component information includes the component type, the number of components, and the component connection relationship of the electrical components, and the component connection relationship includes at least one of an electrical signal connection relationship, a circuit connection relationship, and a mechanical connection relationship; An association determination unit, configured to obtain the associated component parameters, the parameter association path, and the correlation coefficient of the electrical components under each component connection relationship according to the historical operation data of the drainage device; A data acquisition unit for acquiring parameter data of each current electrical fitting for various fitting parameters; An association clearing unit for, for the associated fitting parameters among the various fitting parameters, obtaining the actual parameter value of the associated fitting parameter after removing the associated influence according to the parameter association path and the association coefficient; A status judgment unit for judging whether the actual parameter value is within the normal range according to a preset parameter threshold, and generating a corresponding warning message based on the judgment result.

[0015] In summary, the present invention provides a method and system for monitoring the status of electrical fittings of a drainage device. By comprehensively collecting fitting information and historical operation data, accurately analyzing the association path and association coefficient among the fittings, and real-time monitoring the current status parameters, the influence of other fittings is stripped through de-correlation processing, and the actual status value of each fitting is accurately extracted. This method can effectively reveal the hidden faults masked by other fittings in the system, achieve early warning and precise positioning, thereby greatly improving the reliability and maintenance efficiency of the drainage device and ensuring the safe and stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 It is a flowchart of the method for monitoring the status of electrical fittings of a drainage device according to an embodiment of the present invention; Figure 2 It is a functional module block diagram of the system for monitoring the status of electrical fittings of a drainage device according to an embodiment of the present invention.

[0018] Reference Signs: Information acquisition unit 110; Association determination unit 120; Data acquisition unit 130; Association clearing unit 140; Status judgment unit 150. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The electrical accessories of drainage equipment are a key part to ensure the normal operation of the drainage system, mainly used for controlling, monitoring and protecting drainage equipment. By continuously monitoring the status of electrical accessories, potential problems can be identified before faults occur, so as to take preventive measures and avoid downtime caused by sudden faults. The existing monitoring methods mainly focus on the status thresholds of electrical accessories. In addition to conventional threshold alarms, they also include intelligent prediction based on big data and artificial intelligence. However, in actual use, there will still be situations where some electrical accessories have problems (such as performance degradation, parameter anomalies or potential faults), but due to the compensation effect or mutual influence of other electrical accessories in the system, the entire system can still maintain a seemingly "normal" operating state. This situation is a typical hidden fault. If not discovered and handled in time, it may lead to more serious consequences.

[0020] Therefore, how to provide a method and system that can effectively monitor the hidden faults of electrical accessories of drainage equipment is an urgent problem to be solved at present.

[0021] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations.

[0022] Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0023] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0024] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by terms such as "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the invention is usually placed during use. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, terms such as "first", "second", etc. are only used for descriptive distinction and cannot be understood as indicating or implying relative importance.

[0025] In the description of the present invention, it should also be noted that, unless otherwise clearly specified and defined, the terms "set", "installed", "connected", and "linked" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0026] It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0027] Next, a method for monitoring the state of electrical accessories of a drainage device provided in this embodiment will be specifically described.

[0028] Please refer to Figure 1 , a method for monitoring the state of electrical accessories of a drainage device provided in this embodiment, the method includes: Step S101, obtaining the accessory information of the electrical accessories of the drainage device.

[0029] The accessory information includes the accessory type, the number of accessories, and the accessory connection relationship of the electrical accessories. The accessory connection relationship includes at least one of an electrical signal connection relationship, a circuit connection relationship, and a mechanical connection relationship.

[0030] The acquisition of the accessory information can be obtained through the equipment manual, design documents of the drainage device, or directly from the equipment manufacturer. Among them, the accessory type and the number of accessories included in the drainage device can be directly obtained, while the accessory connection relationship needs to be determined based on drawings and documents such as the equipment structure diagram, circuit schematic diagram, and working principle description of the drainage device. For some relatively complex structures, the professional knowledge of engineers or experts also needs to be combined to ensure that the obtained accessory connection relationship is consistent with the actual drainage device.

[0031] Specifically, the electrical signal connection relationship refers to the relationship path through which electrical signals are transmitted between electrical accessories when the drainage device is working. It includes both the connection relationship through wired connection and the signal transmission relationship through wireless connection. In the electrical signal connection relationship, the main factors affecting each other between electrical accessories are the content and intensity of the electrical signals. The circuit connection relationship refers to the connection relationship of each electrical accessory that works based on power supply inside the drainage device. In the circuit connection relationship, the main factors affecting each other between electrical accessories are parameters such as voltage, current, and frequency. The mechanical connection relationship refers to the connection relationship formed by each electrical accessory of the drainage device based on its shape and structure. In the mechanical connection relationship, the main factors affecting each other between electrical accessories are vibration, collision, deformation, temperature, and structural damage, etc.

[0032] Step S102: Obtain the associated component parameters, parameter association paths, and correlation coefficients of the electrical components under each component connection relationship according to the historical operation data of the drainage equipment.

[0033] The historical operation data can truly reflect the actual situation of the mutual influence of electrical components during the actual operation of the drainage equipment. By analyzing the historical operation data, it is possible to extract which electrical components will have an impact on each other.

[0034] Specifically, there may be multiple component parameters involved in the electrical components. Among these component parameters, some may change correspondingly due to the change in the parameter value of the component parameter of other electrical components, and at the same time, when changing, it may also affect the parameter value of the component parameter of other electrical components. These component parameters are the associated component parameters. At the same time, there is also a certain influence order among these component parameters that affect each other, that is, the parameter association path. Moreover, the amplitude of the influence generated by different component parameters is also different, so the correlation coefficient can be used to express it.

[0035] It should be noted that the influence between these component parameters is sometimes negative, that is, the component parameter of a certain electrical component appears abnormal, which in turn causes the other affected parameters to also appear abnormal, and sometimes it is positive, that is, a certain electrical component appears abnormal, but under the influence of other component parameters, its component parameter still remains within the normal range.

[0036] By analyzing the historical operation data, extracting the associated component parameters, parameter association paths, and correlation coefficients of the electrical components under each component connection relationship, when monitoring a certain component parameter, it is possible to effectively isolate the influence brought by other associated component parameters, and thus discover potential risks.

[0037] Specifically, as a preferred mode of the embodiment of the present invention, step S102 specifically includes: Obtain the historical operation data of the drainage equipment, where the historical operation data includes the historical component parameter data of each electrical component; Determine the component association paths of multiple electrical components in a component connection relationship according to the equipment working principle of the drainage equipment; Extract the historical component parameter data of multiple electrical components on the same component association path from the historical operation data; Perform a correlation analysis on the extracted historical component parameter data to determine the component parameters that will affect the component parameters of other electrical components when the parameter state changes, and regard both the component parameters that have an impact and the component parameters that are affected as associated component parameters; Obtain the parameter association path according to the influence order of other associated accessory parameters when the status of the associated accessory parameters changes; Calculate the correlation coefficient based on the influence value of other associated accessory parameters when the status of the associated accessory parameters changes.

[0038] When obtaining the historical operation data of the drainage equipment, the larger the time range covered, the more accurate the results obtained from subsequent analysis. In practical applications, modern industrial control systems (such as SCADA systems) usually record a large amount of operation data. When obtaining data, it is necessary to ensure that the collected data includes the accessory parameter data of each electrical accessory, and these data should contain timestamps for subsequent time series analysis. If there are missing values or outliers in the obtained data, data cleaning is required to ensure the quality and integrity of the data.

[0039] The determination of associated accessory parameters and parameter association paths is based on the accessory association path. First, determine the accessory association path based on the obtained accessory connection relationship. The accessory association path includes multiple electrical accessories that may be associated with each other. When some accessory parameters of an electrical accessory in the accessory association path change, it will affect some accessory parameters of other electrical accessories in the accessory association path.

[0040] In a specific accessory connection relationship, when the drainage equipment starts to work, based on the principle and logic of its function realization, the physical connection and functional dependency relationships between working electrical accessories are clear, which can be determined based on equipment manuals and technical documents. Of course, for complex drainage equipment systems, it may be necessary to combine the knowledge of domain experts to accurately identify all possible accessory association paths. Therefore, for the above-mentioned electrical signal connection relationship, circuit connection relationship, and mechanical connection relationship, respectively, according to the working realization principle of each function of the drainage equipment, obtain the accessory association path in each accessory connection relationship. That is, each function, or each type of function, corresponds to an accessory connection relationship.

[0041] Specifically, determine the accessory association paths of multiple electrical accessories in the electrical signal connection relationship according to the control signal transmission logic of the drainage equipment; determine the accessory association paths of multiple electrical accessories in the circuit connection relationship according to the power supply logic of the drainage equipment; determine the accessory association paths of multiple electrical accessories in the mechanical connection relationship according to the physical structure of the drainage equipment.

[0042] It should be noted that the accessory association path only reflects the influence association between electrical accessories. For which specific accessory parameters will have an impact on each other and how they will affect specifically, specific analysis needs to be combined with historical operation data.

[0043] After determining the accessory association path, taking the accessory association path as a unit, extract the historical accessory parameter data of multiple electrical accessories on the same accessory association path from the historical operation data. In this way, when conducting analysis, it is possible to focus more on the data that may have an impact relationship. On the one hand, the amount of data processing is reduced, and on the other hand, it can be more targeted.

[0044] After extracting the historical accessory parameter data of multiple electrical accessories on the same accessory association path, it is possible to conduct a correlation analysis on this part of the data. Statistical methods (such as Pearson correlation coefficient, Spearman rank correlation coefficient) or machine learning algorithms (such as random forest feature importance) can be used for correlation analysis to effectively identify the correlation between different accessory parameters. The SciPy library, Pandas library in Python, and R language provide rich correlation analysis functions, facilitating the rapid implementation of the correlation analysis process.

[0045] When determining the associated accessory parameters, they can be classified into two categories and processed separately. One category is those that will affect other accessory parameters, and the other category is those that will be affected by other accessory parameters. Both of these categories are associated accessory parameters, and there will be a certain overlap, that is, some associated accessory parameters will both affect other accessory parameters and be affected by other accessory parameters.

[0046] On the other hand, when conducting a correlation analysis, combined with the time stamps carried by the historical operation data, obtain the parameter association path according to the time sequence of the impact on other associated accessory parameters when the state of the associated accessory parameters changes. On this basis, a causal relationship diagram between the parameters can be constructed through Bayesian networks, dynamic Bayesian networks, or other causal inference methods to clarify the order of influence.

[0047] On the basis of determining the associated component parameters and the parameter association paths, and combining the parameter values of the associated component parameters in the historical operation data, the correlation coefficients between the associated component parameters can be further calculated. The correlation coefficients are used to quantify the degree of influence of the state changes of the associated component parameters on other associated component parameters. Specifically, the correlation coefficients can include direct correlation coefficients corresponding to direct associations and indirect correlation coefficients corresponding to multi-level associations (i.e., A affects B, and B then affects C. For example, a decrease in motor efficiency may indirectly affect the readings of a flow sensor through a frequency converter). The direct correlation coefficients can calculate the linear or non-linear association strength between two component parameters through correlation analysis or regression models. For example, multiple regression analysis is used to calculate the influence of motor current changes on the output frequency of the frequency converter. The indirect correlation coefficients can be represented by multiplying multiple direct correlation coefficients, or an association matrix can be constructed, and the elements in the matrix represent the correlation coefficients between two component parameters. For highly non-linear situations, simple linear regression models may not be sufficient to capture the true correlation coefficients. In this case, more complex models (such as neural networks, support vector machines) can be considered for fitting. When calculating the specific values of the correlation coefficients, for the convenience of calculation and to improve accuracy, different types of correlation coefficients can be unified to the same dimension. For example, the normalization method (such as Min-Max Scaling) is used to map the correlation coefficients to the range [0,1], which is convenient for comparison and subsequent calculations. It should be noted that due to the limited time range covered by the historical operation data, the results calculated through the above process reflect the influence relationships between the associated component parameters in the historical operation data. As a preferred implementation, in the application of the actual scenario, based on the continuously obtained new historical data, the above calculation results can be adjusted. On the other hand, a simulation model can also be established in combination with the actual situation of the drainage equipment to simulate and verify the above calculation results to determine the accuracy of the associated component parameters, parameter association paths, and correlation coefficients.

[0048] In this embodiment, as a preferred way of the embodiment of the present invention, after obtaining the associated component parameters, parameter association paths, and correlation coefficients, an association graph between the electrical components of the drainage equipment can be established. Using the electrical components in the component association path as nodes, the associated component parameters of each electrical component, the involved parameter association paths are marked in the graph, and the weights (i.e., correlation coefficients) of each path are marked in the graph for subsequent analysis.

[0049] Through the above process, it is equivalent to constructing a parameter association model of the electrical components of the current drainage equipment, which can relatively accurately reflect the association relationships between the associated component parameters of each electrical component.

[0050] As a preferred method, the accuracy of the model can be verified based on other acquired historical operation data, and the model can be continuously updated to adapt to new working condition changes.

[0051] Step S103: Obtain the parameter data of each current accessory parameter of each electrical accessory.

[0052] Based on the above basic work, the continuous status monitoring of electrical accessories begins below. Through the sensors set on the electrical accessories and the status feedback of the electrical accessories themselves, the parameter data of each current accessory parameter of each electrical accessory is obtained.

[0053] It should be noted that the parameter data obtained here should be as consistent as possible with the acquisition sources of the above historical operation data to ensure the accuracy of the monitoring results.

[0054] Step S104: For the associated accessory parameters among the status parameters, obtain the actual parameter values of the associated accessory parameters after removing the associated influence according to the parameter association path and the correlation coefficient.

[0055] After obtaining the parameter data of the current associated accessory parameters, based on the previously obtained association path and correlation coefficient, the correlation processing can be performed on each associated accessory parameter, stripping the influence brought by the associated accessory parameters of other accessories, and truly reflecting the current actual situation of the associated accessory parameters.

[0056] Specifically, as a preferred method of the embodiment of the present invention, step S104 specifically includes: Obtain the parameter values of other associated accessory parameters in the parameter association path where the current associated accessory parameter is located; Calculate the associated influence values of other associated accessory parameters on the current associated accessory parameter according to the correlation coefficient respectively; Subtract the associated influence value from the parameter value of the current associated accessory parameter to obtain the actual parameter value of the current associated accessory parameter.

[0057] When the parameter association path and the correlation coefficient are known, substitute the parameter values of other associated accessory parameters in the obtained parameter association path, and calculate the associated influence values of each other associated accessory parameter that will affect the current associated accessory parameter respectively. Then subtract the associated influence value from the current parameter value to obtain the "de-correlated" actual parameter value. The actual parameter value here reflects the true state of the current accessory, stripping the influence of other accessories.

[0058] It should be noted that, as a preferred implementation, if the association relationship between the associated accessory parameters is non-linear, when subtracting the associated influence value, a direct subtraction operation may not be sufficient to accurately reflect the actual situation, and a more complex non-linear model needs to be introduced to calculate the actual parameter value after subtracting the associated influence value.

[0059] It should be noted that when there are multiple levels of associated influence in the parameter association path where the current associated accessory parameter is located, the associated influence value is calculated starting from other associated accessory parameters that are farthest from the current associated accessory parameter in the parameter association path. When there are multiple levels of associated influence, graph theory tools (such as NetworkX) or matrix operations can be used to accelerate the processing. The associated influence value is calculated starting from other associated accessory parameters that are farthest from the current associated accessory parameter, and the "decoupling" operation is performed in sequence.

[0060] Through the above process of real-time data collection, correlation coefficient calculation, and decoupling processing, the influence of other electrical accessories can be effectively stripped, and the true state parameter value of the current electrical accessory can be extracted.

[0061] Step S105, determine whether the actual parameter value is within the normal range according to a preset parameter threshold, and generate a corresponding warning message based on the judgment result.

[0062] Based on the specific model and working state of each electrical accessory, a corresponding parameter threshold is preset. After obtaining the true state parameter value, the actual parameter value is compared with the parameter threshold to determine whether it is within the normal range. At this time, the judgment result is a relatively accurate reflection of the actual situation of the electrical accessory. For the judged abnormal situation, a corresponding warning message is generated for prompt, so that the system can take reasonable countermeasures.

[0063] As a preferred implementation, when making the judgment, it is also possible to judge the parameter value of the currently obtained associated accessory parameter, and determine the specific abnormal state type according to the results of the two judgments, so as to generate a more targeted warning message. Specifically, the above step S105 specifically includes: If both the parameter value of the current associated accessory parameter and the actual parameter value are within the normal range, it is judged that the electrical accessory is in a normal state; If both the parameter value of the current associated accessory parameter and the actual parameter value are not within the normal range, it is judged that the electrical accessory is in an abnormal state; If the parameter value of the current associated accessory parameter is within the normal range and the actual parameter value is not within the normal range, it is judged that the electrical accessory is in a latent fault state; If the parameter value of the current associated accessory parameter is not within the normal range and the actual parameter value is within the normal range, it is judged that the electrical accessory is in an affected fault state.

[0064] Based on the comparison results between the parameter values of the current associated component parameters and the actual parameter values with the parameter thresholds, it can be specifically divided into four situations, corresponding to normal, abnormal, latent fault, and affected fault respectively, which can effectively distinguish different states of electrical components. If both are within the normal range, it indicates that the component is not currently affected by other components and is also in good working condition. At this time, the healthy parts in the system are ensured to be confirmed, reducing unnecessary maintenance. When both values are not within the normal range, it indicates that there is a problem with the component itself and it is not affected by other components, directly reflecting the fault of the component itself, facilitating quick positioning and taking measures. This type of situation is usually relatively serious and requires immediate handling to avoid greater losses. When the seemingly normal parameter value is outside the normal range after removing the influence, it indicates the occurrence of a latent fault, which can detect potential problems in advance, prevent them from developing into more serious faults, extend the service life of the equipment through early intervention in latent faults, and reduce the risk of sudden failures. When the electrical component itself is normal but fails due to being affected, this step helps to distinguish the "affected fault" caused by the influence of other components from the fault of the component itself, and can clearly point out which components are affected by other components, so as to adjust or repair the relevant components targeted. Avoiding unnecessary inspections or replacements of components that have no problems improves the maintenance efficiency. Through this differentiation method, not only the accuracy of fault detection is improved, but also the occurrence of potential problems can be effectively prevented, which is particularly suitable for the state monitoring and maintenance management of complex drainage equipment systems. It realizes the refined management of the state of electrical components through a multi-level state judgment mechanism, significantly improving the reliability and maintainability of the system.

[0065] It should be noted that when it is determined that the electrical component is in the latent fault state, the generated warning information includes the other associated component parameters that make the electrical component in the latent fault state, and the electrical components corresponding to the other associated component parameters respectively. Through the detailed warning information, it helps the maintenance personnel accurately find the root cause of the problem and achieve early intervention.

[0066] The following uses a specific case to illustrate the electrical component state monitoring method of the drainage equipment provided by the embodiment of the present invention.

[0067] Suppose there is a drainage equipment for urban sewage treatment, which is a drainage pumping station. The pumping station includes two drainage pumps (PumpA and PumpB) operating in parallel. Each pump is driven by a motor and connected to the same variable frequency drive (VFD) to adjust the flow rate. In addition, the system is also equipped with temperature sensors, current sensors, and vibration sensors to monitor the state of the motor and the pump.

[0068] Step 1: Obtain the electrical component information of the drainage equipment.

[0069] Accessory types: Include two motors (MotorA and MotorB), one variable frequency drive (VFD), and two water pumps (Pump A and Pump B).

[0070] Number of accessories: One or two of each type of accessory (e.g., two motors drive two pumps respectively).

[0071] Connection relationships: Electrical signal connection: The motors are connected to the VFD through control signals.

[0072] Circuit connection: The motors and the VFD share the same power supply circuit.

[0073] Mechanical connection: The motors directly drive the corresponding pumps.

[0074] Step 2: Obtain the associated accessory parameters, associated paths, and correlation coefficients of the electrical accessories under each accessory connection relationship based on the historical operation data of the drainage equipment.

[0075] Analysis of historical operation data: Collect data on current, voltage, temperature, vibration, etc. of all motors and pumps in the past year.

[0076] Determine the associated path between MotorA and MotorB. For example, when the load of MotorA increases, the VFD will adjust the output frequency, which in turn affects the working state of MotorB.

[0077] Determination of associated path: The change in the current of MotorA will affect the output frequency of the VFD, which indirectly affects the current of MotorB.

[0078] The change in the output frequency of the VFD directly affects the speeds of the two motors, further affecting the flow rate of the pumps.

[0079] Calculation of correlation coefficients: Analysis using the Pearson correlation coefficient shows that the correlation between the current change of MotorA and the output frequency of the VFD is 0.06, indicating a certain positive correlation between the two.

[0080] The correlation between the current of MotorB and the output frequency of the VFD is 0.02, indicating that the influence of the VFD on MotorB is slightly weaker.

[0081] Step 3: Obtain the current state parameters of each electrical accessory.

[0082] Real-time data collection: The current of MotorA at the current time point is 10A, the temperature is 40°C, and the vibration frequency is 10Hz.

[0083] The current of MotorB is 9A, the temperature is 38°C, and the vibration frequency is 9Hz.

[0084] The output frequency of the VFD is 50Hz.

[0085] Step 4: For the associated component parameters in each state parameter, obtain the actual parameter values after removing the associated influence of the associated component parameters according to the parameter association path and the correlation coefficient.

[0086] Decorrelation processing: Calculate the influence of the output frequency of the VFD on the currents of MotorA and MotorB based on the correlation coefficients obtained from historical data analysis.

[0087] Based on the correlation coefficient of 0.06 of the output frequency fVFD of the VFD on the current of MotorA, the actual current of MotorA should be 10A - (0.06 × 50) = 7A. (Here, for simplicity, a linear relationship is assumed). Similarly, based on the correlation coefficient of 0.02 of the output frequency fVFD of the VFD on the current of MotorB, the actual current of MotorA should be 9A - (0.02 × 50) = 8A.

[0088] Step 5: Judge whether the actual parameter value is within the normal range according to the preset parameter threshold. If not, generate a warning message.

[0089] Status judgment: In this case, the current of MotorA (10A) is within the normal range (assuming the normal range is [8A, 12A]), but the actual current (7A) is not within the normal range. Therefore, it is judged that MotorA is in a latent failure state.

[0090] The warning message will include other associated component parameters (such as the output frequency of the VFD) that cause the latent failure of MotorA and their corresponding electrical components (VFD).

[0091] The current of MotorB (9A) is within the normal range, and the actual current (8A) is also within the normal range. Therefore, it is judged that MotorB is in a normal state.

[0092] In summary, the method for monitoring the electrical accessory status of the drainage equipment provided by the embodiments of the present invention comprehensively collects accessory information and historical operation data, accurately analyzes the association paths and correlation coefficients among various accessories, and real-time monitors the current status parameters. By using decorrelation processing to strip the influence of other accessories, the actual status value of each accessory is accurately extracted. This method can effectively reveal the hidden faults masked by other accessories in the system, achieve early warning and precise positioning, thereby greatly improving the reliability and maintenance efficiency of the drainage equipment and ensuring the safe and stable operation of the system.

[0093] As Figure 2 shown, the electrical accessory status monitoring system of the drainage equipment provided by the embodiments of the present invention includes: An information acquisition unit 110, configured to acquire the accessory information of the electrical accessories of the drainage equipment, where the accessory information includes the accessory type, the number of accessories, and the accessory connection relationship of the electrical accessories, and the accessory connection relationship includes at least one of an electrical signal connection relationship, a circuit connection relationship, and a mechanical connection relationship; An association determination unit 120, configured to obtain the associated accessory parameters, parameter association paths, and correlation coefficients of the electrical accessories under various accessory connection relationships according to the historical operation data of the drainage equipment; A data acquisition unit 130, configured to acquire the parameter data of each current accessory parameter of each electrical accessory; An association clearing unit 140, configured to, for the associated accessory parameters in each accessory parameter, obtain the actual parameter value of the associated accessory parameter after removing the associated influence according to the parameter association path and the correlation coefficient; A status judgment unit 150, configured to judge whether the actual parameter value is within the normal range according to a preset parameter threshold, and generate a corresponding warning message based on the judgment result.

[0094] The electrical accessory status monitoring system of the drainage equipment provided by the embodiments of the present invention is used to implement the above-mentioned method for monitoring the electrical accessory status of the drainage equipment. Therefore, the specific implementation manners are the same as those of the above method and will not be repeated here.

[0095] In summary, the present invention provides a method and a system for monitoring the electrical accessory status of a drainage equipment. By comprehensively collecting accessory information and historical operation data, accurately analyzing the association paths and correlation coefficients among various accessories, and real-time monitoring the current status parameters, using decorrelation processing to strip the influence of other accessories, the actual status value of each accessory is accurately extracted. This method can effectively reveal the hidden faults masked by other accessories in the system, achieve early warning and precise positioning, thereby greatly improving the reliability and maintenance efficiency of the drainage equipment and ensuring the safe and stable operation of the system.

[0096] In several embodiments disclosed in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions, and operations of devices, methods, and computer program products according to multiple embodiments of this application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code. A module, a program segment, or a part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0097] In addition, each functional module in various embodiments of this application can be integrated together to form an independent part, or each module can exist alone, or two or more modules can be integrated to form an independent part.

[0098] If the described functions are implemented in the form of software functional modules and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

Claims

1. A method for monitoring the status of electrical accessories of drainage equipment, characterized in that: The method comprises: Acquire accessory information of electrical accessories of the drainage equipment, wherein the accessory information includes the accessory type, the accessory quantity, and the accessory connection relationship of the electrical accessories, wherein the accessory connection relationship includes at least one of an electrical signal connection relationship, a circuit connection relationship, and a mechanical connection relationship; According to the historical operation data of the drainage equipment, the associated accessory parameters, parameter association paths and association coefficients of the electrical accessories under the connection relationships of each accessory are obtained; Obtain parameter data of each electrical accessory's current parameters; For the associated accessory parameters in each accessory parameter, according to the parameter association path and the association coefficient, the actual parameter value of the associated accessory parameter after removing the association influence is obtained; Whether the actual parameter value is within a normal range is determined according to a preset parameter threshold, and corresponding warning information is generated based on the determination result.

2. The method for monitoring the status of electrical accessories of drainage equipment according to claim 1, characterized in that: The step of obtaining the associated accessory parameters, parameter association paths and association coefficients of the electrical accessories under the connection relationships of various accessories according to the historical operation data of the drainage equipment specifically includes: Acquire historical operation data of the drainage equipment, wherein the historical operation data includes historical accessory parameter data of each electrical accessory; Determine the accessory association paths of multiple electrical accessories in an accessory connection relationship according to the equipment working principle of the drainage equipment; Extracting historical accessory parameter data of multiple electrical accessories on the same accessory association path from the historical operation data; Perform correlation analysis on the extracted historical accessory parameter data to determine accessory parameters that will affect accessory parameters of other electrical accessories when the parameter state changes, and use both the influencing accessory parameters and the affected accessory parameters as associated accessory parameters; The parameter association path is obtained according to the order of influence on other associated accessory parameters when the associated accessory parameter state changes; The correlation coefficient is obtained by numerically calculating the influence of the state of the associated accessory parameter on other associated accessory parameters when the associated accessory parameter state changes.

3. The method for monitoring the status of electrical accessories of drainage equipment according to claim 2, characterized in that: The step of determining the accessory association paths of multiple electrical accessories in an accessory connection relationship according to the device working principle of the drainage device specifically includes: The accessory association paths of multiple electrical accessories in the electrical signal connection relationship are determined according to the control signal transmission logic of the drainage equipment.

4. The method for monitoring the status of electrical accessories of drainage equipment according to claim 2, characterized in that: The step of determining the accessory association paths of multiple electrical accessories in an accessory connection relationship according to the device working principle of the drainage device specifically includes: The accessory association paths of the plurality of electrical accessories in the circuit connection relationship are determined according to the power supply logic of the drainage device.

5. The method for monitoring the status of electrical accessories of drainage equipment according to claim 2, characterized in that: The step of determining the accessory association paths of multiple electrical accessories in an accessory connection relationship according to the device working principle of the drainage device specifically includes: The accessory association paths of the plurality of electrical accessories in a mechanical connection relationship are determined according to the physical structure of the drainage equipment.

6. The method for monitoring the status of electrical accessories of drainage equipment according to any one of claims 2 to 5, characterized in that: The step of obtaining the actual parameter value of the associated accessory parameter after removing the association influence according to the parameter association path and the association coefficient for the associated accessory parameter in each state parameter specifically includes: Get the parameter values ​​of other associated accessory parameters in the parameter association path where the current associated accessory parameter is located; Calculate the correlation influence values ​​of other associated accessory parameters on the current associated accessory parameters according to the correlation coefficient; The actual parameter value of the current associated accessory parameter is obtained by subtracting the associated influence value from the parameter value of the current associated accessory parameter.

7. The method for monitoring the status of electrical accessories of drainage equipment according to claim 6, characterized in that: The step of obtaining the actual parameter value of the associated accessory parameter after removing the association influence according to the parameter association path and the association coefficient for the associated accessory parameter in each state parameter specifically includes: When there are multiple levels of association influences in the parameter association path where the current association accessory parameter is located, the association influence values ​​are calculated starting from other association accessory parameters in the parameter association path that are farthest from the current association accessory parameter.

8. The method for monitoring the status of electrical accessories of drainage equipment according to claim 6, characterized in that: The step of judging whether the actual parameter value is within a normal range according to a preset parameter threshold value specifically includes: If the parameter value and the actual parameter value of the currently associated accessory parameter are both within the normal range, the electrical accessory is judged to be in a normal state; If both the parameter value and the actual parameter value of the currently associated accessory parameter are not within the normal range, the electrical accessory is judged to be in an abnormal state; If the parameter value of the currently associated accessory parameter is within the normal range, and the actual parameter value is not within the normal range, it is determined that the electrical accessory is in a hidden fault state; If the parameter value of the currently associated accessory parameter is not within the normal range, and the actual parameter value is within the normal range, it is determined that the electrical accessory is in an affected fault state.

9. The method for monitoring the status of electrical accessories of drainage equipment according to claim 8, characterized in that: The step of generating corresponding warning information based on the judgment result specifically includes: When it is determined that an electrical accessory is in a hidden fault state, the generated warning information includes other associated accessory parameters that cause the electrical accessory to be in the hidden fault state, and the electrical accessories corresponding to the other associated accessory parameters.

10. A system for monitoring the status of electrical accessories of drainage equipment, characterized in that: include: An information acquisition unit, used to acquire accessory information of electrical accessories of the drainage equipment, wherein the accessory information includes the accessory type, the accessory quantity and the accessory connection relationship of the electrical accessories, wherein the accessory connection relationship includes at least one of an electrical signal connection relationship, a circuit connection relationship and a mechanical connection relationship; An association determination unit, used to obtain associated accessory parameters, parameter association paths and association coefficients of electrical accessories under various accessory connection relationships according to the historical operation data of the drainage equipment; A data acquisition unit, used to acquire parameter data of various current accessory parameters of each electrical accessory; An association clearing unit, for obtaining, for each of the accessory parameters, an actual parameter value of the associated accessory parameter after removing the association influence according to the parameter association path and the association coefficient; The status judgment unit is used to judge whether the actual parameter value is within a normal range according to a preset parameter threshold value, and generate corresponding warning information based on the judgment result.

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