A pump station unit condition monitoring and analysis system based on digital twin

Abstract

The present invention discloses a pump station unit status monitoring and analysis system based on digital twin, which belongs to the technical field of pump station unit status monitoring, and includes a platform end and a user end; the platform end includes a condition analysis module and a model module; the condition analysis module is used to analyze the received digital twin characteristics and obtain the target establishment method of the corresponding pump station unit; determine the target team according to the target establishment method; the model module is used to establish the digital twin of the pump station unit; the user end includes a pump station information module, an acquisition module and a monitoring module; the pump station information module is used to collect the digital twin characteristics of the pump station unit; the acquisition module is used to perform real-time data acquisition on the pump room unit, obtain pump group acquisition data, and send the pump group acquisition data to the monitoring module; the monitoring module is used to monitor and analyze the received pump group acquisition data according to the digital twin, obtain corresponding monitoring and analysis results, and display the monitoring and analysis results accordingly in the digital twin.

Description

Technical Field

[0001] The present invention belongs to the technical field of pump station unit status monitoring, and specifically is a pump station unit status monitoring and analysis system based on digital twins. Background Art

[0002] In the field of pump station unit operation management and maintenance, traditional technical means have long relied on manual experience and decentralized monitoring systems, forming a significant application bottleneck. As the core facilities of urban water supply, drainage and water conservancy projects, the operation of pump stations involves the coordination of multiple units, adaptation to complex working conditions and high-precision control. However, traditional monitoring systems mostly use a single sensor to collect data and lack the ability to dynamically integrate the status of the unit throughout its life cycle. For example, parameters such as vibration, temperature, and pressure are often analyzed independently, making it difficult to detect early equipment failures. Failures such as bearing microcracks and impeller cavitation can easily lead to sudden downtime accidents. In addition, manual inspections and regular maintenance models rely on fixed cycles and cannot dynamically adjust maintenance strategies according to the actual operating conditions of the equipment, resulting in a waste of resources caused by both "over-maintenance" and "under-maintenance."

[0003] Based on this, in order to realize intelligent monitoring of the status of pump station units, the present invention provides a pump station unit status monitoring and analysis system based on digital twins. Summary of the Invention

[0004] In order to solve the problems existing in the above solutions, the present invention provides a pump station unit status monitoring and analysis system based on digital twins.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A pump station unit condition monitoring and analysis system based on digital twins, including a platform end and a user end;

[0007] The platform side includes condition analysis module and model module;

[0008] The condition analysis module is used to analyze the received digital twin features to obtain the target establishment method of the corresponding pump station unit; and determine the target team according to the target establishment method.

[0009] Furthermore, the target establishment method is determined based on the characteristics of the digital twin, including:

[0010] The platform establishes a method reserve library, which is used to store reserve establishment methods, reserve cases, and digital reserve characteristics;

[0011] According to the digital twin features, matching is performed in the method reserve library to obtain corresponding reserve establishment methods and reserve cases, and the reserve establishment methods are screened according to the reserve cases to determine the target establishment method.

[0012] Further, screen the matching reserve establishment methods according to the reserve cases, including:

[0013] Identify the monitoring accuracy corresponding to each reserve case, and estimate the establishment cost corresponding to the corresponding reserve establishment method;

[0014] Calculate the priority value of the corresponding reserve establishment method according to a preset priority formula, and the priority formula is:

[0015] ;

[0016] In the formula: PY is the priority value; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; e is the natural parameter; JD is the monitoring accuracy; CB is the establishment cost;

[0017] Sort the reserve establishment methods in descending order of the priority value to obtain a priority sequence, supplement the priority value to the priority sequence, and display the priority sequence to the user for the user to determine the target establishment method.

[0018] The model module is used to establish a digital twin of the pump station unit and configure the digital twin in the user terminal.

[0019] The user terminal includes a pump station information module, a collection module, and a monitoring module;

[0020] The pump station information module is used to collect the digital twin characteristics of the pump station unit and send the digital twin characteristics to the platform terminal.

[0021] The collection module is used to perform real-time data collection on the pump house unit to obtain pump group collection data, and send the pump group collection data to the monitoring module.

[0022] The monitoring module is used to perform monitoring and analysis on the pump group collection data received according to the digital twin to obtain corresponding monitoring and analysis results, and display the monitoring and analysis results in the digital twin accordingly.

[0023] Further, the user terminal further includes a calibration analysis module, and the calibration analysis module is used to perform real-time monitoring accuracy calibration on the digital twin to obtain a calibration result, and the calibration result includes calibration qualified and calibration unqualified; perform corresponding processing according to the calibration result. [[ID=X]]

[0024] Further, performing real-time monitoring accuracy calibration on the digital twin includes:

[0025] Set the calibration items of the digital twin, perform real-time data collection according to the calibration items to obtain calibration analysis data of the calibration items, and the calibration analysis data includes reference data and standard data;

[0026] Performing calibration analysis based on the calibration analysis data to obtain the calibration accuracy of the calibration item; and determining the calibration result of the calibration item based on the calibration accuracy.

[0027] Furthermore, calibration analysis is performed based on the calibration analysis data, including:

[0028] Set the unit period, determine the calibration period in real time according to the unit period and current time; identify the data time corresponding to the corresponding calibration analysis data; mark the calibration analysis data with data time within the calibration period as reference data;

[0029] A calibration analysis model is established. The expression of the calibration analysis model is:

[0030] ;

[0031] Where: (s i , l i ) is the input data, s i is the benchmark data of the corresponding reference data, l i is the standard data of the corresponding reference data, i represents the corresponding reference data, i=1, 2, ..., n, n is the number of reference data; s i →l i Indicates that the benchmark data and the standard data meet the monitoring standards; the output data is the calibration analysis value PK (s i , l i ), the calibration analysis value is 1 or 0;

[0032] Analyze the reference data through the calibration analysis model to obtain the corresponding calibration analysis value;

[0033] Calculate the corresponding calibration accuracy according to the calibration accuracy formula. The calibration accuracy formula is:

[0034] ;

[0035] Where: δ is the calibration accuracy.

[0036] Furthermore, corresponding processing is performed according to the calibration result, including:

[0037] When the calibration result is qualified, no corresponding operation is performed;

[0038] When the calibration result is unqualified, the digital twin is updated and adjusted.

[0039] Furthermore, the platform also includes a professional audit module, which is used to audit and analyze the received calibration analysis report, obtain an audit result, and send the audit result to the corresponding user.

[0040] When the audit result is passed, the digital twin will be updated and adjusted;

[0041] Perform corresponding processing based on the calibration results, including:

[0042] When the calibration result is qualified, no corresponding operation is performed;

[0043] When the calibration result is unqualified, a calibration analysis report is generated, sent to the platform, and the audit result feedback from the platform is received.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] Through the mutual cooperation between the platform and the user side, the platform with professional capabilities can assist users in establishing digital twins of pump station units to improve monitoring accuracy; it is convenient for users to have professional channels for consultation when they have potential needs, and it is convenient for users to evaluate the application of digital twin technology in pump station units. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0047] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0048] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0049] like Figure 1 As shown, in embodiment 1, a pump station unit status monitoring and analysis system based on digital twins includes a platform end and a user end;

[0050] The platform side and the user side are used by the platform and users respectively.

[0051] The platform includes condition analysis module and model module;

[0052] The conditional analysis module is used to analyze the received digital twin features to obtain the target establishment method of the digital twin of the corresponding pump station unit; determine the technical team based on the target establishment method. The technical team refers to the group of personnel who will subsequently establish the digital twin for the pump station technology based on the target establishment method. It can be a technical team within the platform or other capable enterprises, etc.; mark the corresponding technical team as the target team.

[0053] In one embodiment, the target establishment method is determined according to the digital twin characteristics, and the technology is determined according to the target establishment method. Screening and determination can be performed based on existing methods; for example, the monitoring accuracy and cost of the pump station unit can be screened according to different establishment methods; and the target team can be determined by screening according to the technical team's capabilities, costs, historical achievements, evaluations, etc.

[0054] In one embodiment, determining a target establishment method based on digital twin characteristics includes:

[0055] The platform obtains the establishment method of the digital twin in real time according to technological development, marks it as the reserve establishment method, and obtains historical cases of various reserve establishment methods in establishing the digital twin of the pump station unit, marking them as reserve cases; extracts features of the reserve cases according to the digital twin features, obtains the digital twin features corresponding to the reserve cases, and marks them as digital reserve features. One reserve establishment method can correspond to multiple reserve cases, especially when the digital reserve features are different; a method reserve library is established based on the reserve establishment method, reserve cases and digital reserve features, and the method reserve library is dynamically updated as technology develops.

[0056] According to the received digital twin features, matching is performed in the method reserve library to obtain the reserve establishment methods and reserve cases that meet the digital twin features. Matching is performed with the digital reserve features corresponding to the reserve cases. Matching can be performed using the same or similar methods. Matching judgment is mainly based on whether the reserve establishment method can meet the establishment of the digital twin of the pump station unit corresponding to the digital twin features; the matching reserve establishment methods are screened according to the reserve cases to determine the target establishment method.

[0057] In one embodiment, the matching reserve establishment methods are screened according to the reserve cases, that is, the screening is performed according to the monitoring effect of the digital twin after establishment, and the effect is judged according to the reserve cases; based on this, the screening can be combined with the existing screening methods.

[0058] For example, the monitoring accuracy of the digital twin corresponding to the reserve cases is identified, and screening is performed based on the monitoring accuracy.

[0059] In one embodiment, matching reserve establishment methods are screened based on reserve cases, including:

[0060] Identify the monitoring accuracy corresponding to each reserve case and estimate the establishment cost corresponding to the corresponding reserve establishment method;

[0061] Calculate the priority value of the corresponding reserve establishment method according to a preset priority formula. The priority formula is:

[0062] ;

[0063] In the formula: PY is the priority value; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; e is the natural parameter; JD is the monitoring accuracy; CB is the establishment cost;

[0064] Sort the reserve establishment methods in descending order of the priority value to obtain a priority sequence, which includes the priority value. Display the priority sequence to the user, and the user determines the target establishment method.

[0065] The model module is used to establish a digital twin of the pump station unit and configure the digital twin in the user terminal.

[0066] The digital twin is established by the target team according to the target establishment method. Specifically, the target team establishes it according to the actual situation of the pump station unit at the user's place, and the professional personnel of the platform party help the user to conduct acceptance, management, etc., to solve the problem that the user lacks corresponding professional personnel.

[0067] For example, based on BIM or point cloud scanning technology, establish a high-precision three-dimensional model of the pump station unit to achieve geometric mapping between the physical entity and the virtual model; combine theories such as fluid mechanics and thermodynamics to construct a simulation model of the hydraulic performance and thermodynamic characteristics of the pump unit; use deep learning algorithms such as LSTM and Transformer to train historical fault data and construct a fault prediction model; realize the dynamic coupling of the mechanism model and the data model through the digital twin engine; form a digital twin of the pump station unit.

[0068] The user terminal includes a pump station information module, a collection module and a monitoring module;

[0069] The pump station information module is used to collect the digital twin characteristics of the pump station unit and send the collected digital twin characteristics to the platform terminal.

[0070] For the collection of digital twin characteristics, the platform party can preset which key information is required for the establishment of the digital twin, so as to facilitate the platform party to configure the corresponding digital twin establishment method and the corresponding technical team for the user; such as information related to the establishment of the digital twin such as equipment model and environmental information. Initially, particularly detailed information is not required, which is convenient for the user to conduct preliminary consultations without leaking privacy information.

[0071] The acquisition module is used to collect real-time data based on the deployed high-precision sensors, such as vibration, temperature, pressure, flow and other sensors, and collect real-time operating data of key components of the pump group, such as motors, bearings, impellers, etc.; obtain the pump group collected data and send the pump group collected data to the monitoring module.

[0072] The monitoring module is used to monitor and analyze the received pump group collected data according to the digital twin, obtain corresponding monitoring and analysis results, and display the monitoring and analysis results accordingly in the digital twin.

[0073] Through the mutual cooperation between the platform and the user side, the platform with professional capabilities can assist users in establishing digital twins of pump station units to improve monitoring accuracy; it is convenient for users to have professional channels for consultation when they have potential needs, and it is convenient for users to evaluate the application of digital twin technology in pump station units.

[0074] Embodiment 2, a pump station unit status monitoring and analysis system based on digital twin, including a platform end and a user end;

[0075] The platform includes condition analysis module and model module;

[0076] The condition analysis module is used to analyze the received digital twin features to obtain the target establishment method of the corresponding pump station unit; and determine the target team according to the target establishment method.

[0077] The model module is used to establish a digital twin of the pump station unit and configure the digital twin in the user end.

[0078] The user terminal includes a pump station information module, a collection module, a monitoring module and a calibration analysis module;

[0079] The pump station information module is used to collect the digital twin features of the pump station unit and send the digital twin features to the platform end.

[0080] The acquisition module is used to collect real-time data of the pump room unit, obtain the pump group acquisition data, and send the pump group acquisition data to the monitoring module.

[0081] The monitoring module is used to monitor and analyze the received pump group collected data according to the digital twin, obtain corresponding monitoring and analysis results, and display the monitoring and analysis results accordingly in the digital twin.

[0082] The calibration analysis module is used to perform real-time monitoring accuracy calibration on the digital twin to obtain calibration results, which include calibration pass and calibration fail;

[0083] When the calibration result is qualified, no corresponding operation is performed;

[0084] When the calibration result is unqualified, the digital twin will be updated and adjusted by the corresponding target team.

[0085] In one embodiment, the real-time monitoring accuracy calibration of the digital twin can be performed based on existing methods for calibration analysis.

[0086] In one embodiment, real-time monitoring accuracy calibration of a digital twin is performed, including:

[0087] Set calibration items for the digital twin, such as monitoring accuracy, prediction accuracy and other related calibration items. Generally, the corresponding calibration items are determined based on the historical update records of the digital twin and are preset by the platform. Real-time data collection is performed based on the calibration items to obtain calibration analysis data for the corresponding calibration items. The calibration analysis data includes benchmark data and standard data. The benchmark data is the result data of the digital twin analysis, such as monitoring status, fault prediction results, operation prediction, etc. The standard data is the real data corresponding to the pump room unit, such as the real equipment status at the corresponding time.

[0088] Perform calibration analysis based on the calibration analysis data to obtain the calibration accuracy of the corresponding calibration items;

[0089] The calibration result of the corresponding calibration item is determined according to the calibration accuracy, that is, if the calibration accuracy is lower than the preset value, the calibration is deemed unqualified.

[0090] In one embodiment, performing calibration analysis based on the calibration analysis data includes:

[0091] Set a unit time period, such as one day, three days, or one week, and determine the calibration period in real time based on the unit time period and the current time, that is, the time period within the unit time period of the current time; identify the data time corresponding to the corresponding calibration analysis data, based on the timestamp of the standard data; mark the calibration analysis data with data time within the calibration period as reference data;

[0092] Establish a calibration analysis model. The calibration analysis model is used to evaluate whether the difference between the benchmark data and the standard data meets the monitoring standard. If the error is within the allowable range, it is considered to meet the monitoring standard. The monitoring standard is set according to industry requirements and is specifically set by the platform according to user needs. The expression of the calibration analysis model is:

[0093] ;

[0094] Where: (s i , l i ) is the input data, s i is the benchmark data of the corresponding reference data, l i is the standard data of the corresponding reference data, i represents the corresponding reference data, i=1, 2, ..., n, n is the number of reference data; si →l i Indicates that the benchmark data and the standard data meet the monitoring standards; use historical calibration analysis data for training and adjustment; the output data is the calibration analysis value PK(s i , l i ), the calibration analysis value is 1 or 0;

[0095] Analyze the reference data through the calibration analysis model to obtain the corresponding calibration analysis value;

[0096] Calculate the corresponding calibration accuracy according to the calibration accuracy formula. The calibration accuracy formula is:

[0097] ;

[0098] Where: δ is the calibration accuracy.

[0099] Embodiment 3, a pump station unit condition monitoring and analysis system based on digital twin, including a platform end and a user end;

[0100] The platform includes condition analysis module, model module and professional review module;

[0101] The condition analysis module is used to analyze the received digital twin features to obtain the target establishment method of the corresponding pump station unit; and determine the target team according to the target establishment method.

[0102] The model module is used to establish a digital twin of the pump station unit and configure the digital twin in the user end.

[0103] The professional audit module is used to audit and analyze the received calibration analysis report to obtain the audit results, which include audit pass and audit fail. Audit pass indicates that the calibration analysis report is correct, otherwise it is incorrect; the audit results are sent to the corresponding users;

[0104] When the review result is approved, the digital twin will be updated and adjusted. The platform's professionals will work with the target team to update and adjust the digital twin.

[0105] In one embodiment, the received calibration analysis report is reviewed and analyzed, and the review can be performed manually or in other existing ways.

[0106] The user terminal includes a pump station information module, a collection module, a monitoring module and a calibration analysis module;

[0107] The pump station information module is used to collect the digital twin features of the pump station unit and send the digital twin features to the platform end.

[0108] The acquisition module is used to collect real-time data of the pump room unit, obtain the pump group acquisition data, and send the pump group acquisition data to the monitoring module.

[0109] The monitoring module is used to monitor and analyze the received pump group collected data according to the digital twin, obtain corresponding monitoring and analysis results, and display the monitoring and analysis results accordingly in the digital twin.

[0110] The calibration analysis module is used to perform real-time monitoring accuracy calibration on the digital twin to obtain calibration results, which include calibration pass and calibration fail;

[0111] When the calibration result is qualified, no corresponding operation is performed;

[0112] When the calibration result is unqualified, a calibration analysis report is generated, sent to the platform, and the audit result feedback from the platform is received.

[0113] The calibration analysis report mainly includes relevant data on calibration failures, which is convenient for the platform to review and does not easily leak specific pump group operating data.

[0114] The above formulas are all calculated by removing dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technicians in this field according to actual conditions or obtained by simulating a large amount of data.

[0115] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A pump station unit status monitoring and analysis system based on digital twin, characterized by: It includes a platform side and a user side; The platform side includes a condition analysis module and a model module; The condition analysis module is used to analyze the received digital twin features to obtain the target establishment method of the corresponding pump station unit; determine the target team according to the target establishment method; The model module is used to establish the digital twin of the pump station unit and configure the digital twin in the user side; The user side includes a pump station information module, a collection module and a monitoring module; The pump station information module is used to collect the digital twin features of the pump station unit and send the digital twin features to the platform side; The collection module is used to collect real-time data of the pump house unit to obtain pump group collection data and send the pump group collection data to the monitoring module; The monitoring module is used to monitor and analyze the received pump group collection data according to the digital twin to obtain the corresponding monitoring and analysis results, and display the monitoring and analysis results correspondingly in the digital twin; Determining the target establishment method according to the digital twin features includes: The platform party establishes a method repository, which is used to store reserve establishment methods, reserve cases and digital reserve features; Match according to the digital twin features in the method repository to obtain the corresponding reserve establishment method and reserve case, and screen the reserve establishment method according to the reserve case to determine the target establishment method; Screening the matched reserve establishment method according to the reserve case includes: Identify the monitoring accuracy corresponding to each reserve case and estimate the establishment cost corresponding to the corresponding reserve establishment method; Calculate the priority value of the corresponding reserve establishment method according to the preset priority formula. The priority formula is: ； In the formula: PY is the priority value; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; e is the natural parameter; JD is the monitoring accuracy; CB is the establishment cost; Sort the reserve establishment methods in descending order of the priority value to obtain a priority sequence, supplement the priority value to the priority sequence, display the priority sequence to the user, and the user determines the target establishment method.

2. A pump station unit condition monitoring and analysis system based on digital twin according to claim 1, characterized in that: The user side further includes a calibration analysis module, which is used to perform real-time monitoring accuracy calibration on the digital twin to obtain a calibration result. The calibration result includes calibration qualified and calibration unqualified; perform corresponding processing according to the calibration result.

3. A pump station unit condition monitoring and analysis system based on digital twin according to claim 2, characterized in that: Performing real-time monitoring accuracy calibration on the digital twin includes: ​ ​ 4. A pump station unit condition monitoring and analysis system based on digital twin according to claim 3, characterized in that: ​ ​ ​ ； Where: (s i , l i ) is the input data, s i is the benchmark data of the corresponding reference data, l i is the standard data of the corresponding reference data, i represents the corresponding reference data, i=1, 2, ..., n, n is the number of reference data; s i →l i Indicates that the benchmark data and the standard data meet the monitoring standards; the output data is the calibration analysis value PK (s i , l i ), the calibration analysis value is 1 or 0; Analyze the reference data through the calibration analysis model to obtain the corresponding calibration analysis value; Calculate the corresponding calibration accuracy according to the calibration accuracy formula. The calibration accuracy formula is: ； Where: δ is the calibration accuracy.

5. A pump station unit condition monitoring and analysis system based on digital twin according to claim 2, characterized in that: Perform corresponding processing based on the calibration results, including: When the calibration result is qualified, no corresponding operation is performed; When the calibration result is unqualified, the digital twin is updated and adjusted.

6. A pump station unit condition monitoring and analysis system based on digital twin according to claim 2, characterized in that: The platform also includes a professional audit module, which is used to audit and analyze the received calibration analysis report, obtain the audit results, and send the audit results to the corresponding users. When the audit result is passed, the digital twin will be updated and adjusted; Perform corresponding processing based on the calibration results, including: When the calibration result is qualified, no corresponding operation is performed; When the calibration result is unqualified, a calibration analysis report is generated, sent to the platform, and the audit result feedback from the platform is received.

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