Method and system for monitoring the state of electrical accessories of a drainage device

Abstract

The present invention provides a method and system for monitoring the state of electrical accessories of a drainage device, relating to the technical field of state monitoring. The method includes: obtaining the accessory information of the electrical accessories of the drainage device, and obtaining 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 device; obtaining the parameter data of each current accessory parameter 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; and judging whether the actual parameter values are within the normal range according to a preset parameter threshold. The present invention can effectively reveal the hidden faults covered by other accessories in the system, realize 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.

Description

Technical Field

[0001] The present invention relates to the technical field of condition monitoring, and in particular, to a method and system for monitoring the state 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 state of electrical accessories, potential problems can be identified before faults occur, so as to take preventive measures and avoid downtime caused by sudden faults. Currently, existing monitoring methods mainly focus on the state 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, and if not discovered and processed in time, it may lead to more serious consequences.

[0003] 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. Summary of the Invention

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

[0005] In the first aspect of the embodiments of the present invention, a method for monitoring the state of electrical accessories of drainage equipment is provided. The method includes:

[0006] Obtain 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;

[0007] Obtain the associated accessory parameters, parameter association paths, and correlation coefficients of the electrical accessories under each accessory connection relationship according to the historical operation data of the drainage equipment;

[0008] Obtain the parameter data of each current accessory parameter of each electrical accessory;

[0009] For the associated accessory parameters among the accessory 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;

[0010] Determine whether the actual parameter value is within the normal range according to the preset parameter threshold, and generate corresponding warning information based on the judgment result.

[0011] Optionally, the step of obtaining the associated component parameters, parameter association paths, and correlation coefficients of electrical components under each component connection relationship according to the historical operation data of the drainage equipment specifically includes:

[0012] Obtain the historical operation data of the drainage equipment, where the historical operation data includes the historical component parameter data of each electrical component;

[0013] Determine the component association paths of multiple electrical components in a component connection relationship according to the equipment working principle of the drainage equipment;

[0014] Extract the historical component parameter data of multiple electrical components on the same component association path from the historical operation data;

[0015] Conduct 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 regard both the component parameters that have an impact and the component parameters that are affected as associated component parameters;

[0016] Obtain the parameter association path according to the order of the impact on other associated component parameters when the status of the associated component parameters changes;

[0017] Calculate the correlation coefficient according to the impact value on other associated component parameters when the status of the associated component parameters changes.

[0018] Optionally, the step of determining the component association paths of multiple electrical components in a component connection relationship according to the equipment working principle of the drainage equipment specifically includes:

[0019] 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 equipment.

[0020] Optionally, the step of determining the component association paths of multiple electrical components in a component connection relationship according to the equipment working principle of the drainage equipment specifically includes:

[0021] Determine the component association paths of multiple electrical components in the circuit connection relationship according to the power supply logic of the drainage equipment.

[0022] Optionally, the step of determining the component association paths of multiple electrical components in a component connection relationship according to the equipment working principle of the drainage equipment specifically includes:

[0023] Determine the accessory association path of multiple electrical accessories in the mechanical connection relationship according to the physical structure of the drainage equipment.

[0024] Optionally, 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:

[0025] Obtain the parameter values of other associated accessory parameters in the parameter association path where the current associated accessory parameter is located;

[0026] Calculate the association influence values of other associated accessory parameters on the current associated accessory parameter respectively according to the association coefficient;

[0027] Subtract the association influence value from the parameter value of the current associated accessory parameter to obtain the actual parameter value of the current associated accessory parameter.

[0028] Optionally, 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 further includes:

[0029] When there are multiple levels of association influence in the parameter association path where the current associated accessory parameter is located, calculate the association influence value starting from the other associated accessory parameter that is farthest from the current associated accessory parameter in the parameter association path.

[0030] Optionally, the step of judging whether the actual parameter value is within the normal range according to the preset parameter threshold specifically includes:

[0031] If both the parameter value and the actual parameter value of the current associated accessory parameter are within the normal range, judge that the electrical accessory is in a normal state;

[0032] If both the parameter value and the actual parameter value of the current associated accessory parameter are not within the normal range, judge that the electrical accessory is in an abnormal state;

[0033] 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, judge that the electrical accessory is in a latent fault state;

[0034] 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, judge that the electrical accessory is in an affected fault state.

[0035] Optionally, the step of generating a corresponding warning message based on the judgment result specifically includes:

[0036] When it is determined that the electrical fitting is in a latent fault state, the generated warning information includes other associated fitting parameters that cause the electrical fitting to be in a latent fault state, and the electrical fittings corresponding to the other associated fitting parameters respectively.

[0037] In a second aspect of the embodiments of the present invention, there is provided an electrical fitting status monitoring system for a drainage device, including:

[0038] An information acquisition unit, configured to acquire fitting information of the electrical fittings of the drainage device, where the fitting information includes the fitting type, the number of fittings, and the fitting connection relationship of the electrical fittings, and the fitting connection relationship includes at least one of an electrical signal connection relationship, a circuit connection relationship, and a mechanical connection relationship;

[0039] An association determination unit, configured to obtain the associated fitting parameters, the parameter association path, and the association coefficient of the electrical fittings under each fitting connection relationship according to the historical operation data of the drainage device;

[0040] A data acquisition unit, configured to acquire the parameter data of each current fitting parameter of each electrical fitting;

[0041] An association clearing unit, configured to, for the associated fitting parameters among the fitting parameters, obtain the actual parameter values of the associated fitting parameters after removing the associated influence according to the parameter association path and the association coefficient;

[0042] A status determination unit, configured to determine whether the actual parameter value is within the normal range according to a preset parameter threshold, and generate a corresponding warning information based on the determination result.

[0043] 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 between each fitting, 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 latent 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

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required to be used 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.

[0045] Figure 1It is a flowchart of the method for monitoring the status of electrical accessories of the drainage device according to an embodiment of the present invention;

[0046] Figure 2 It is a block diagram of the functional modules of the electrical accessory status monitoring system of the drainage device according to an embodiment of the present invention.

[0047] Reference numerals:

[0048] Information acquisition unit 110; Association determination unit 120; Data acquisition unit 130; Association clearing unit 140; Status judgment unit 150. Detailed implementation manners

[0049] The electrical accessories of the drainage device are the key parts to ensure the normal operation of the drainage system, mainly used for controlling, monitoring and protecting the drainage device. By continuously monitoring the status of the electrical accessories, potential problems can be identified before a failure occurs, so as to take preventive measures and avoid downtime caused by sudden failures. Currently, the existing monitoring methods mainly focus on the status thresholds of electrical accessories. In addition to the 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 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. If not discovered and processed in time, it may lead to more serious consequences.

[0050] Therefore, how to provide a method and system that can effectively monitor the hidden failures of the electrical accessories of the drainage device is an urgent problem to be solved at present.

[0051] 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 herein can be arranged and designed in various different configurations.

[0052] 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 invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0053] It should be noted that like reference numerals and letters denote like items in the following figures. Therefore, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

[0054] 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 figures, or the orientation or positional relationship in which the inventive product is customarily 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 thus should not be construed as a limitation of the present invention. In addition, terms such as "first", "second", etc. are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0055] In the description of the present invention, it should also be noted that unless otherwise clearly defined and limited, the terms "arranged", "installed", "connected", and "coupled" 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 elements. 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.

[0056] It should be noted that, without conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0057] Next, a method for monitoring the state of electrical accessories of a drainage device provided in this embodiment will be specifically described.

[0058] 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:

[0059] Step S101, obtaining the accessory information of the electrical accessories of the drainage device.

[0060] 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.

[0061] The accessory information can be obtained through the equipment manual, design documents of the drainage equipment, or directly from the equipment manufacturer. Among them, the accessory types and quantities of the electrical accessories included in the drainage equipment can be directly obtained, while the accessory connection relationships need to be determined based on drawings and documents such as the equipment structure diagram, circuit schematic diagram, and working principle description of the drainage equipment. For some relatively complex structures, the professional knowledge of engineers or experts also needs to be combined to ensure that the obtained accessory connection relationships are consistent with the actual drainage equipment.

[0062] Specifically, the electrical signal connection relationship refers to the relationship path through which electrical signals are transmitted between electrical accessories when the drainage equipment is operating. It includes both the connection relationships through wired connections and the signal transmission relationships through wireless connections. In the electrical signal connection relationship, the main factors that affect each other between electrical accessories are the content and strength of the electrical signals. The circuit connection relationship refers to the connection relationships of the various electrical accessories that operate based on power supply inside the drainage equipment. In the circuit connection relationship, the main factors that affect each other between electrical accessories are parameters such as voltage, current, and frequency. The mechanical connection relationship refers to the connection relationships formed by the various electrical accessories of the drainage equipment based on their shapes and structures. In the mechanical connection relationship, the main factors that affect each other between electrical accessories are vibration, collision, deformation, temperature, and structural damage, etc.

[0063] Step S102: Obtain the associated accessory parameters, parameter association paths, and correlation coefficients of the electrical accessories under each accessory connection relationship according to the historical operation data of the drainage equipment.

[0064] The historical operation data can truly reflect the actual situation of the mutual influence between electrical accessories during the actual operation of the drainage equipment. By analyzing the historical operation data, it is possible to extract which electrical accessories will affect each other.

[0065] Specifically, there may be multiple accessory parameters involved in the electrical accessories. Among these accessory parameters, some may change correspondingly due to the change in the parameter value of the accessory parameter of other electrical accessories, and at the same time, when they change, they may also affect the parameter value of the accessory parameter of other electrical accessories. These accessory parameters are the associated accessory parameters. At the same time, there is also a certain order of influence among these accessory parameters that affect each other, that is, the parameter association path. Moreover, the amplitudes of the influences generated by different accessory parameters are also different, so the correlation coefficient can be used to express it.

[0066] It should be noted that the influences among these accessory parameters are sometimes negative, that is, the accessory parameter of a certain electrical accessory is abnormal, which in turn causes the other affected parameters to be abnormal, and sometimes positive, that is, a certain electrical accessory is abnormal, but under the influence of the accessory parameters of other accessories, its accessory parameter still remains within the normal range.

[0067] By analyzing historical operation data, the associated component parameters, parameter association paths, and correlation coefficients of electrical components under various component connection relationships are extracted. When monitoring a certain component parameter, the influence brought by other associated component parameters can be effectively separated, thereby discovering potential risks.

[0068] Specifically, as a preferred embodiment of the present invention, step S102 specifically includes:

[0069] Obtain the historical operation data of the drainage equipment, where the historical operation data includes the historical component parameter data of each electrical component;

[0070] Determine the component association paths of multiple electrical components in a component connection relationship according to the equipment working principle of the drainage equipment;

[0071] Extract the historical component parameter data of multiple electrical components on the same component association path from the historical operation data;

[0072] 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 status changes. Both the influencing component parameters and the affected component parameters are used as associated component parameters;

[0073] Obtain the parameter association path according to the influence order of other associated component parameters when the status of the associated component parameters changes;

[0074] Calculate the correlation coefficient according to the influence value of other associated component parameters when the status of the associated component parameters changes.

[0075] When obtaining the historical operation data of the drainage equipment, the larger the time range covered, the more accurate the subsequent analysis results will be. 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 component parameter data of each electrical component, 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.

[0076] The determination of associated component parameters and parameter association paths is based on the component association path. First, the component association path is determined based on the obtained component connection relationship. The component association path includes multiple electrical components that may be associated with each other. When some component parameters of an electrical component in the component association path change, it will affect some component parameters of other electrical components in the component association path.

[0077] In a specific connection relationship of components, when the drainage equipment starts to work, based on the principle and logic of its function realization, the physical connection and functional dependency relationship among the working electrical components are clear, which can be determined based on the equipment manual and technical documents. Of course, for a complex drainage equipment system, it may be necessary to combine the knowledge of domain experts to accurately identify all possible component association paths. Therefore, for the above-mentioned electrical signal connection relationship, circuit connection relationship, and mechanical connection relationship respectively, according to the working principle of each function of the drainage equipment, the component association paths in each component connection relationship can be obtained. That is, each function, or each type of function, corresponds to a component connection relationship.

[0078] Specifically, 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 equipment; determine the component association paths of multiple electrical components in the circuit connection relationship according to the power supply logic of the drainage equipment; determine the component association paths of multiple electrical components in the mechanical connection relationship according to the physical structure of the drainage equipment.

[0079] It should be noted that the component association path only reflects the influence association among electrical components. Regarding which specific component parameters will have an impact on each other and how exactly they affect, specific analysis needs to be combined with historical operation data.

[0080] After determining the component association path, taking the component association path as a unit, extract the historical component parameter data of multiple electrical components on the same component association path from the historical operation data. In this way, when analyzing, it can be more focused on the data that may have an influence relationship. On the one hand, it reduces the amount of data processing, and on the other hand, it can be more targeted.

[0081] After extracting the historical component parameter data of multiple electrical components on the same component association path, correlation analysis can be performed 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 component parameters. The SciPy library, Pandas library in Python, and R language provide rich correlation analysis functions, which are convenient for quickly implementing the correlation analysis process.

[0082] When determining the associated component parameters, they can be classified into two categories and analyzed separately. One category is those that will have an impact on other component parameters, and the other category is those that will be affected by other component parameters. Both of these categories are associated component parameters, and they will have a certain overlap, that is, some associated component parameters will both have an impact on other component parameters and be affected by other component parameters.

[0083] On the other hand, when performing correlation analysis, by combining the timestamps carried in the historical operation data, the parameter correlation path can be obtained according to the time sequence generated by the change of the associated component parameter status on other associated component parameters. On this basis, a causal relationship diagram between parameters can be constructed through Bayesian networks, dynamic Bayesian networks or other causal inference methods to clarify the influence order.

[0084] On the basis of determining the associated component parameters and the parameter correlation path, by combining the parameter values of the associated component parameters in the historical operation data, the correlation coefficient between the associated component parameters can be further calculated. The correlation coefficient is used to quantify the degree of influence of the change of the associated component parameter status on other associated component parameters. Specifically, the correlation coefficient can include the direct correlation coefficient corresponding to the direct association and the indirect correlation coefficient corresponding to the multi-level association (i.e., A affects B, and B then affects C. For example, a decrease in motor efficiency may indirectly affect the reading of the flow sensor through the frequency converter). The direct correlation coefficient 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 the change in motor current on the output frequency of the frequency converter. The indirect correlation coefficient can be represented by multiple multiplied direct correlation coefficients, or an association matrix can be constructed, and the elements in the matrix represent the correlation coefficient between two component parameters. For highly non-linear situations, simple linear regression models may not be sufficient to capture the true correlation coefficient. In this case, more complex models (such as neural networks, support vector machines) can be considered for fitting. When calculating the specific value of the correlation coefficient, for the convenience of calculation and improvement of accuracy, different types of correlation coefficients can be unified under the same dimension. For example, the normalization method (such as Min-Max Scaling) is used to map the correlation coefficient to the range of [0,1] for easy comparison and subsequent calculation.

[0085] 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 relationship between the associated component parameters in the historical operation data. As a preferred implementation, in the application of the actual scenario, the above calculation results can be adjusted based on continuously obtained new historical data. 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, the parameter correlation path, and the correlation coefficient.

[0086] In this embodiment, as a preferred method of the embodiment of the present invention, after obtaining the associated accessory parameters, parameter association paths and association coefficients, an association diagram between the electrical accessories of the drainage equipment can be established, with the electrical accessories in the accessory association paths as nodes, and the associated accessory parameters and the parameter association paths involved of each electrical accessory are marked in the diagram, and the weight of each path (i.e., the association coefficient) is marked in the diagram for subsequent analysis.

[0087] Through the above process, it is equivalent to constructing a parameter association model of the electrical accessories of the current drainage equipment, and the model can relatively accurately reflect the association relationship between the associated accessory parameters of each electrical accessory.

[0088] As a preferred approach, the accuracy of the model can be verified based on other historical operating data obtained, and the model can be continuously updated to adapt to new operating condition changes.

[0089] Step S103, obtaining parameter data of various current accessory parameters of each electrical accessory.

[0090] Based on the above basic work, the continuous status monitoring of electrical accessories begins. The parameter data of each electrical accessory's current parameters are obtained through sensors installed on the electrical accessories and the status feedback of the electrical accessories themselves.

[0091] It should be noted that the parameter data obtained here should be kept consistent with the historical operation data acquisition method and source mentioned above to ensure the accuracy of the monitoring results.

[0092] Step S104, for the associated accessory parameters in each state parameter, the actual parameter value of the associated accessory parameter after removing the association influence is obtained according to the parameter association path and the association coefficient.

[0093] After obtaining the parameter data of the current associated accessory parameters, based on the previously obtained association path and association coefficient, each associated accessory parameter can be correlated, removing the influence of the associated accessory parameters of other accessories and truly reflecting the current actual situation of the associated accessory parameters.

[0094] Specifically, as a preferred embodiment of the present invention, step S104 specifically includes:

[0095] Get the parameter values of other associated accessory parameters in the parameter association path where the current associated accessory parameter is located;

[0096] Calculate the correlation influence values of other associated accessory parameters on the current associated accessory parameters according to the correlation coefficient;

[0097] 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.

[0098] 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 other associated accessory parameters that will affect the current associated accessory parameter respectively. Then subtract the associated influence value from the current parameter value to obtain the "decoupled" actual parameter value. The actual parameter value here reflects the true state of the current accessory, stripping off the influence of other accessories.

[0099] It should be noted that as a preferred implementation, if the association relationship between 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.

[0100] 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, start calculating the associated influence value from the other associated accessory parameter that is 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. Start calculating the associated influence value from the other associated accessory parameter that is farthest from the current associated accessory parameter, and perform the "decoupling" operation in sequence.

[0101] 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.

[0102] 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.

[0103] Based on the specific model and working state of each electrical accessory, preset the corresponding parameter threshold. After obtaining the true state parameter value, compare the actual parameter value with the parameter threshold to determine whether it is within the normal range. The judgment result at this time is a relatively accurate reflection of the actual situation of the electrical accessory. For the judged abnormal situation, generate a corresponding warning message for prompt to facilitate the system to take reasonable countermeasures.

[0104] As a preferred implementation, when making the judgment, the parameter value of the currently obtained associated accessory parameter can also be judged, and according to the results of the two judgments, determine the specific type of abnormal state, so as to generate a more targeted warning message. Specifically, the above - mentioned step S105 specifically includes:

[0105] If both the parameter value of the current associated accessory parameter and the actual parameter value are within the normal range, it is determined that the electrical accessory is in a normal state;

[0106] If both the parameter value of the current associated accessory parameter and the actual parameter value are not within the normal range, it is determined that the electrical accessory is in an abnormal state;

[0107] 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 determined that the electrical accessory is in a latent fault state;

[0108] 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 determined that the electrical accessory is in an affected fault state.

[0109] Based on the comparison results of the parameter value of the current associated accessory parameter, the actual parameter value, and the parameter threshold, 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 accessories. If both are within the normal range, it indicates that the accessory is not affected by other accessories at present and is also in a good working state. At this time, the healthy parts in the system are ensured to be confirmed, and unnecessary maintenance is reduced. When both values are not within the normal range, it indicates that there is a problem with the accessory itself and it is not affected by other accessories, directly reflecting the fault of the accessory itself, which is convenient for rapid 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 that a latent fault has occurred. In this way, potential problems can be detected in advance to prevent them from developing into more serious faults. By early intervention in latent faults, the service life of the equipment is extended and the risk of sudden faults is reduced. When the electrical accessory itself is normal but fails due to being affected, this step helps to distinguish the "affected fault" caused by the influence of other accessories from the fault of the accessory itself, and can clearly point out which accessories are affected by other accessories, so as to adjust or repair the relevant accessories targeted. Unnecessary inspections or replacements of accessories without problems are avoided, and the maintenance efficiency is improved. 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 especially suitable for the status monitoring and maintenance management of complex drainage equipment systems. It realizes the refined management of the status of electrical accessories through a multi-level status judgment mechanism, significantly improving the reliability and maintainability of the system.

[0110] It should be noted that when it is determined that the electrical component is in a latent fault state, the generated warning information includes the parameters of other associated components that cause the electrical component to be in the latent fault state, and the electrical components corresponding to the parameters of other associated components respectively. Through the detailed warning information, it helps the maintenance personnel to accurately find the root cause of the problem and achieve early intervention.

[0111] The following uses a specific case to illustrate the electrical component status monitoring method for the drainage equipment provided by the embodiments of the present invention.

[0112] Suppose there is a drainage equipment for urban sewage treatment, which is a drainage pump station. The pump 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 status of the motor and the pump.

[0113] Step 1: Obtain the electrical component information of the drainage equipment.

[0114] Component type: includes two motors (MotorA and MotorB), one variable frequency drive (VFD), and two water pumps (Pump A and Pump B).

[0115] Number of components: one or two of each type of component (for example, two motors drive two pumps respectively).

[0116] Connection relationship:

[0117] Electrical signal connection: The motors are connected to the variable frequency drive through control signals.

[0118] Circuit connection: The motors and the variable frequency drive share the same power supply circuit.

[0119] Mechanical connection: The motors directly drive the corresponding pumps.

[0120] Step 2: Obtain the associated component parameters, associated paths and correlation coefficients of the electrical components under each component connection relationship according to the historical operation data of the drainage equipment.

[0121] Historical operation data analysis:

[0122] Collect data such as current, voltage, temperature, vibration, etc. of all motors and pumps in the past year.

[0123] 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.

[0124] Determination of the associated path:

[0125] The current change of MotorA will affect the output frequency of the VFD, which will indirectly affect the current of MotorB.

[0126] The change of the output frequency of the VFD directly affects the rotational speeds of the two motors, further affecting the flow rate of the pump.

[0127] Calculate the correlation coefficient:

[0128] Using the Pearson correlation coefficient analysis, it is found 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.

[0129] 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.

[0130] Step 3: Obtain the current state parameters of each electrical component.

[0131] Real-time data acquisition:

[0132] At the current time point, the current of MotorA is 10A, the temperature is 40°C, and the vibration frequency is 10Hz.

[0133] The current of MotorB is 9A, the temperature is 38°C, and the vibration frequency is 9Hz.

[0134] The output frequency of the VFD is 50Hz.

[0135] 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.

[0136] Decorrelation processing:

[0137] According to the correlation coefficient obtained from historical data analysis, calculate the influence of the output frequency of the VFD on the currents of MotorA and MotorB.

[0138] Based on the correlation coefficient of 0.06 between the output frequency fVFD of the VFD and the current of MotorA, the actual current of MotorA should be 10A - (0.06 × 50) = 7A. (Here, a linear relationship is assumed for simplicity.)

[0139] Similarly, based on the correlation coefficient of 0.02 between the output frequency fVFD of the VFD and the current of MotorB, the actual current of MotorA should be 9A - (0.02 × 50) = 8A.

[0140] 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.

[0141] Status Judgment:

[0142] 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 determined that MotorA is in a latent failure state.

[0143] The warning information will include the parameter of other associated accessories (such as the output frequency of the VFD) that cause the latent failure of MotorA and its corresponding electrical accessory (VFD).

[0144] The current of MotorB (9A) is within the normal range, and the actual current (8A) is also within the normal range. Therefore, it is determined that MotorB is in a normal state.

[0145] In summary, for the method for monitoring the status of electrical accessories of a drainage device provided by the embodiment of the present invention, by comprehensively collecting accessory information and historical operation data, accurately analyzing the association paths and correlation coefficients between various accessories, and real-time monitoring the current status parameters, using the decorrelation process to strip the influence of other accessories, the actual status value of each accessory can be accurately extracted. This method can effectively reveal latent failures masked by other accessories 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.

[0146] As Figure 2 shown, for the electrical accessory status monitoring system of a drainage device provided by the embodiment of the present invention, the system includes:

[0147] An information acquisition unit 110, configured to acquire accessory information of electrical accessories of a drainage device, 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;

[0148] An association determination unit 120, configured to obtain the associated accessory parameters, parameter association paths, and correlation coefficients of electrical accessories under various accessory connection relationships according to the historical operation data of the drainage device;

[0149] A data acquisition unit 130, configured to acquire parameter data of current accessory parameters of each electrical accessory;

[0150] 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;

[0151] A status judgment unit 150 is configured to judge whether the actual parameter value is within a normal range according to a preset parameter threshold, and generate a corresponding warning message based on the judgment result.

[0152] The electrical accessory status monitoring system of the drainage device provided by the embodiment of the present invention is used to implement the above-mentioned electrical accessory status monitoring method of the drainage device. Therefore, the specific implementation manner is the same as the above method and will not be repeated here.

[0153] In summary, the present invention provides a method and a system for monitoring the status of electrical accessories of a drainage device. By comprehensively collecting accessory information and historical operation data, accurately analyzing the correlation paths and correlation coefficients among various accessories, and real-time monitoring the current status parameters, the influence of other accessories is stripped through decorrelation processing, and the actual status value of each accessory is accurately extracted. This method can effectively reveal the hidden faults covered by other accessories in the system, realize 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.

[0154] In several embodiments disclosed in the present 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 the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the module, program segment, or 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 from that marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may 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 for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0155] In addition, the functional modules in each embodiment of the present 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.

[0156] When the above-mentioned functions are implemented in the form of software function modules and sold or used as independent products, 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 aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

Claims

1. An electrical accessory status monitoring method for a drainage device, characterized in that The method includes: Obtaining 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 the electrical signal connection relationship, the circuit connection relationship, and the mechanical connection relationship; Obtaining the associated accessory parameters, the parameter association path, and the correlation coefficient of the electrical accessories under each accessory connection relationship according to the historical operation data of the drainage equipment; Obtaining the parameter data of each current accessory parameter of each electrical accessory; For the associated accessory parameters among the accessory parameters, obtaining the actual parameter value after removing the associated influence of the associated accessory parameters according to the parameter association path and the correlation coefficient; 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.

2. The method for monitoring the electrical accessory state of the drainage device according to claim 1, characterized in that The step of obtaining the associated accessory parameters, the parameter association path, and the correlation coefficient of the electrical accessories under each accessory connection relationship according to the historical operation data of the drainage equipment specifically includes: Obtaining the historical operation data of the drainage equipment, where the historical operation data includes the historical accessory parameter data of each electrical accessory; Determining the accessory association path of multiple electrical accessories in an accessory connection relationship according to the equipment working principle of the drainage equipment; Extracting the historical accessory parameter data of multiple electrical accessories on the same accessory association path from the historical operation data; Performing a correlation analysis on the extracted historical accessory parameter data, determining the accessory parameters that will affect the accessory parameters of other electrical accessories when the parameter state changes, and taking both the accessory parameters that have an impact and the accessory parameters that are affected as the associated accessory parameters; Obtaining the parameter association path according to the influence order of the change of the associated accessory parameter state on other associated accessory parameters; Calculating the correlation coefficient according to the influence value of the change of the associated accessory parameter state on other associated accessory parameters.

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

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

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

6. The method for monitoring the electrical accessory status of the drainage device according to any one of claims 2-5, characterized in that, The step of obtaining the actual parameter value after removing the associated influence of the associated accessory parameters according to the parameter association path and the correlation coefficient for the associated accessory parameters among the state parameters specifically includes: Obtaining 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 coefficients 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.

7. The method for monitoring the electrical accessory state of the drainage device according to claim 6, characterized in that, The step of obtaining the actual parameter value of the associated accessory parameter after removing the associated influence according to the parameter association path and the correlation coefficient for the associated accessory parameter in each state parameter specifically further includes: When there are multi-level associated influences in the parameter association path where the current associated accessory parameter is located, calculate the associated influence value starting from the other associated accessory parameter that is farthest from the current associated accessory parameter in the parameter association path.

8. The method for monitoring the electrical accessory status of the drainage device according to claim 6, characterized in that, 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 accessory parameter are within the normal range, it is judged that the electrical accessory is in a normal state; If both the parameter value and the actual parameter value of the current associated accessory parameter 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 hidden 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.

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

10. An electrical accessory status monitoring system for a drainage device, characterized in that, Include: An information acquisition unit, configured to acquire 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, configured to obtain the associated accessory parameters, the parameter association path, and the correlation coefficient of the electrical accessories under each accessory connection relationship according to the historical operation data of the drainage equipment; A data acquisition unit, configured to acquire the parameter data of each current accessory parameter of each electrical accessory; An association clearing unit, configured to 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 for the associated accessory parameter in each accessory parameter; A state judgment unit, configured to judge whether the actual parameter value is within the normal range according to the preset parameter threshold, and generate corresponding warning information based on the judgment result.

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