A power plant oil product full life cycle management system, method, device and storage medium based on oil quality degradation analysis

Abstract

A power plant oil product lifecycle management system, method, device, and storage medium based on oil quality degradation analysis belongs to the field of oil product detection technology. The data processing module collects oil product data from oil-using equipment in real time and sends the processed data to the interface recognition module; the information acquisition and entry module collects oil product lifecycle data and enters the data into the interface recognition module; the interface recognition module sends the oil product data from the data processing module and the information acquisition and entry module to the diagnosis module respectively; the diagnosis module calculates the oil product status based on the oil product data from the data processing module and calculates the oil product diagnosis result based on the oil product data from the information acquisition and entry module, and both the oil product status and the oil product diagnosis result are displayed on the interface recognition module; the diagnosis module compares the oil product data from the data processing module and the information acquisition and entry module at different nodes to see if there are any abnormalities.

Description

Technical Field

[0001] The present invention relates to the technical field of oil product detection, and in particular to a full life cycle management system, method, equipment and storage medium for oil products in power plants based on oil quality degradation analysis. Background Art

[0002] At present, the construction of oil condition monitoring and information management system for power oil equipment is not perfect enough, and the development in the field of oil condition monitoring for power oil equipment is relatively backward.

[0003] Currently, during operation, oil-using equipment is susceptible to factors such as moisture, wear particles, temperature, humidity, and foreign contaminants. Oil contamination can easily occur during factory inspection, incoming acceptance, storage, delivery, maintenance, and waste oil disposal, leading to wear and aging of the equipment. Furthermore, there are issues such as incomplete supervision of oil-using equipment and untimely feedback from system data. These issues can lead to low equipment efficiency, increased equipment failure rates, and potentially threaten the safety of the entire power system.

[0004] Therefore, it is of great practical significance to control the entire process of oil products after they enter the factory, monitor the oil status of power oil equipment in real time during operation, and scientifically manage the collected data information. Summary of the Invention

[0005] The present invention solves the problem that the prior art lacks a system for controlling the entire process of oil products entering the factory and real-time monitoring of the oil product status during the operation of power oil equipment, and for scientifically managing the collected data information.

[0006] The present invention provides a power plant oil product full life cycle management system based on oil quality degradation analysis, the system comprising a data processing module, an information collection and input module, an interface recognition module and a diagnosis module;

[0007] The data processing module collects oil product data of oil-using equipment in real time, and sends the processed data to the interface recognition module;

[0008] The information collection and input module collects the oil product life cycle data and inputs the data into the interface recognition module;

[0009] The interface recognition module sends the oil product data from the data processing module and the information collection and entry module to the diagnosis module respectively;

[0010] The diagnosis module calculates the oil status based on the oil data from the data processing module and calculates the oil diagnosis result based on the oil data from the information collection and input module. The oil status and the oil diagnosis result are both displayed on the interface identification module.

[0011] The diagnosis module compares the oil product data of the data processing module and the information collection and entry module of different nodes to see if there is any abnormality;

[0012] The data processing module includes a lower computer module, a core data processing module and a data acquisition module;

[0013] The data acquisition module collects oil product data of oil-using equipment in real time;

[0014] The core data processing module obtains oil product data of oil-using equipment and processes the data;

[0015] The lower computer module respectively detects whether the oil product data of the data acquisition module and the core data processing module are valid, and after integrating the oil product data of the data acquisition module and the core data processing module, sends the data to the interface recognition module.

[0016] 2. A power plant oil product life cycle management system based on oil quality degradation analysis according to claim 1, characterized in that the information collection and entry module includes an equipment lubrication information module and a periodic entry module;

[0017] The equipment lubrication information module collects oil lifecycle data and sends the data to the periodic entry module;

[0018] The periodic input module converts the data of the entire life of the oil product into parameters that can be input into the interface recognition module, and then sends the data to the interface recognition module.

[0019] Furthermore, in one embodiment of the present invention, the diagnosis module calculates the oil quality diagnosis result based on the oil quality data of the information collection and entry module by using a self-adaptive weighted combination algorithm.

[0020] Furthermore, in one embodiment of the present invention, the data acquisition module includes a viscosity sensor module, a pollution sensor module, a moisture sensor module and a temperature sensor module;

[0021] The viscosity sensor module is used to detect the viscosity, density, water content and temperature of the oil in real time;

[0022] The pollution sensor module is used to detect the size and quantity distribution of oil particles in real time;

[0023] The moisture sensor module is used to detect the water activity and temperature of the oil in real time;

[0024] The temperature sensor module is used to detect the temperature change of the oil in real time.

[0025] Furthermore, in one embodiment of the present invention, the data processing module collects oil product data of the oil-using equipment in real time, and sends the processed data to the interface recognition module, including the following steps:

[0026] Step S1, the data acquisition module collects oil product data of the oil-using equipment in real time;

[0027] Step S2: The lower computer module detects whether the oil product data collected by the data acquisition module is valid. If it is valid, step S3 is executed; if not, step S1 is executed;

[0028] Step S3, the data acquisition module sends the oil product data to the core data processing module;

[0029] In step S4, the lower computer module detects whether the oil product data obtained by the core data processing module is valid. If valid, the lower computer module integrates the oil product data of the data acquisition module and the core data processing module, and sends the data to the interface identification module. If invalid, execute step S3.

[0030] Furthermore, in one embodiment of the present invention, the diagnosis module calculates the oil quality diagnosis result based on the oil quality data of the information collection and entry module by using an adaptive weighted combination algorithm, specifically:

[0031] When the sensor collects the data of the entire life of the oil product, it will be affected by the environmental noise Z i The influence of the measured value X i and the true value S i The mathematical relationship is:

[0032] X i =S i ±Z i , i=1,2,3···,n;

[0033] Take the maximum value X measured by n sensors max and minimum value X min The average value P0;

[0034] P0=(X max +X min ) / 2;

[0035] Taking the average value P0 as the standard and comparing it with the monitoring value X(n) collected by n sensors, we can get:

[0036] D1={X(n)≥P0};

[0037] D2={X(n) <P0};

[0038] The average values of D1 and D2 are F(D1) and F(D2), and the average value of F(D1) and F(D2) is calculated as the new median P1. Repeat the above operation to continuously adjust the median P1. k Iterate

[0039] P k =(F(D k )+F(D k+1 )) / 2, k=1, 2, 3···, n;

[0040] Until P k =P k+1 When , the iteration is completed, and the median P k is the true value, which replaces the maximum value X max and minimum value X min .

[0041] The present invention provides a method for managing the full life cycle of oil products in a power plant based on oil quality degradation analysis, which is implemented using any of the above methods for managing the full life cycle of oil products in a power plant based on oil quality degradation analysis, and includes the following steps:

[0042] Step 1: The interface recognition module obtains the oil product data from the data processing module and the information collection and entry module respectively, and sends the data to the diagnosis module respectively;

[0043] Step 2: The diagnosis module processes the oil product data from the data processing module and the information acquisition and entry module respectively, and sends the processing results to the interface recognition module for display;

[0044] Step 3: The diagnosis module compares the oil quality data of the data processing module and the information collection and entry module at different nodes to see if there is any abnormality. If there is any abnormality, step 4 is executed. If there is no abnormality, the oil quality data of the data processing module and the information collection and entry module at different nodes are stored and recorded respectively, and the operation ends.

[0045] In step 4, the diagnostic module sends out corresponding warning signals respectively, and adjusts the oil product data of the data processing module and the information acquisition and entry module respectively. The diagnostic module then determines whether the data has returned to normal. If not, it returns to step 1. If so, it stores and records the data respectively and ends the operation.

[0046] An electronic device according to the present invention comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0047] Memory for storing computer programs;

[0048] The processor is used to implement the method steps described in the above method when executing the program stored in the memory.

[0049] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the method steps described in the above method are implemented.

[0050] The present invention solves the problem of the existing technology lacking a system for controlling the entire process of oil products entering the factory and real-time monitoring of the oil product status during the operation of power oil equipment, and for scientifically managing the collected data information. Specific beneficial effects include:

[0051] 1. The oil quality degradation analysis-based full-lifecycle management system for power plants described in this invention is based on six modules: equipment lubrication records, oil storage management, oil maintenance management, waste oil disposal management, oil monitoring and diagnosis, and oil pollution control. Based on the degradation products produced by oil degradation and the resulting changes in oil indicators, the oil monitoring and diagnosis module performs diagnosis and early warning. This module can quickly and accurately identify the equipment to which the fault belongs and diagnose the problem's cause.

[0052] 2. The present invention describes a power plant oil quality lifecycle management system based on oil quality degradation analysis. The system includes a statistical diagnostic method, corresponding host computer remote management software, and a slave computer oil quality monitoring device. The diagnostic module detects changes in oil quality indicators and transmits these changes via a switch to an interface recognition module, which performs real-time statistical data screening and diagnostic analysis. Based on these changes in oil quality indicators, the interface recognition module displays diagnostic results and issues warnings, enabling relevant management personnel to promptly remedy any emergencies. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0054] Figure 1 It is a block diagram of the composition of the power plant oil product full life cycle management system based on oil quality degradation analysis described in the specific implementation method;

[0055] Figure 2 It is a composition diagram of the oil product online monitoring device described in the specific embodiment;

[0056] Figure 3 It is a diagram of the equipment lubrication information module described in the specific implementation manner;

[0057] Figure 4 It is a flow chart of the method for managing the entire life cycle of oil products in power plants based on oil quality degradation analysis as described in the specific implementation method;

[0058] Figure 5 It is a flow chart of the operation of the data processing module described in the specific implementation method. DETAILED DESCRIPTION

[0059] The following will clearly and completely describe various embodiments of the present invention in conjunction with the accompanying drawings. The embodiments described with reference to the accompanying drawings are exemplary and intended to be used to explain the present invention, but should not be understood as limiting the present invention.

[0060] The present embodiment describes a power plant oil product life cycle management system based on oil quality degradation analysis, the system comprising a data processing module, an information collection and entry module, an interface recognition module, and a diagnosis module;

[0061] The data processing module collects oil product data of oil-using equipment in real time, and sends the processed data to the interface recognition module;

[0062] The information collection and input module collects the oil product life cycle data and inputs the data into the interface recognition module;

[0063] The interface recognition module sends the oil product data from the data processing module and the information collection and entry module to the diagnosis module respectively;

[0064] The diagnosis module calculates the oil status based on the oil data from the data processing module and calculates the oil diagnosis result based on the oil data from the information collection and input module. The oil status and the oil diagnosis result are both displayed on the interface identification module.

[0065] The diagnosis module compares the oil product data of the data processing module and the information collection and entry module of different nodes to see if there is any abnormality;

[0066] The data processing module includes a lower computer module, a core data processing module and a data acquisition module;

[0067] The data acquisition module collects oil product data of oil-using equipment in real time;

[0068] The core data processing module obtains oil product data of oil-using equipment and processes the data;

[0069] The lower computer module respectively detects whether the oil product data of the data acquisition module and the core data processing module are valid, and after integrating the oil product data of the data acquisition module and the core data processing module, sends the data to the interface recognition module.

[0070] In this embodiment, the information collection and entry module includes an equipment lubrication information module and a regular entry module;

[0071] The equipment lubrication information module collects oil lifecycle data and sends the data to the periodic entry module;

[0072] The periodic input module converts the data of the entire life of the oil product into parameters that can be input into the interface recognition module, and then sends the data to the interface recognition module.

[0073] In this embodiment, the diagnosis module calculates the oil quality diagnosis result based on the oil quality data of the information collection and input module by using a self-adaptive weighted combination algorithm.

[0074] In this embodiment, the data acquisition module includes a viscosity sensor module, a pollution sensor module, a moisture sensor module and a temperature sensor module;

[0075] The viscosity sensor module is used to detect the viscosity, density, water content and temperature of the oil in real time;

[0076] The pollution sensor module is used to detect the size and quantity distribution of oil particles in real time;

[0077] The moisture sensor module is used to detect the water activity and temperature of the oil in real time;

[0078] The temperature sensor module is used to detect the temperature change of the oil in real time.

[0079] In this embodiment, the data processing module collects oil quality data of the oil-using equipment in real time, and sends the processed data to the interface recognition module, including the following steps:

[0080] Step S1, the data acquisition module collects oil product data of the oil-using equipment in real time;

[0081] Step S2: The lower computer module detects whether the oil product data collected by the data acquisition module is valid. If it is valid, step S3 is executed; if not, step S1 is executed;

[0082] Step S3, the data acquisition module sends the oil product data to the core data processing module;

[0083] In step S4, the lower computer module detects whether the oil product data obtained by the core data processing module is valid. If valid, the lower computer module integrates the oil product data of the data acquisition module and the core data processing module, and sends the data to the interface identification module. If invalid, execute step S3.

[0084] In this embodiment, the diagnosis module calculates the oil quality diagnosis result based on the oil quality data of the information collection and entry module by using an adaptive weighted combination algorithm, specifically:

[0085] When the sensor collects the data of the entire life of the oil product, it will be affected by the environmental noise Zi The influence of the measured value X i and the true value S i The mathematical relationship is:

[0086] X i =S i ±Z i , i=1,2,3···,n;

[0087] Take the maximum value X measured by n sensors max and minimum value X min The average value P0;

[0088] P0=(X max +X min ) / 2;

[0089] Taking the average value P0 as the standard and comparing it with the monitoring value X(n) collected by n sensors, we can get:

[0090] D1={X(n)≥P0};

[0091] D2={X(n) <P0};

[0092] The average values of D1 and D2 are F(D1) and F(D2), and the average value of F(D1) and F(D2) is calculated as the new median P1. Repeat the above operation to continuously adjust the median P1. k Iterate

[0093] P k =(F(D k )+F(D k+1 )) / 2, k=1, 2, 3···, n;

[0094] Until P k =P k+1 When , the iteration is completed, and the median P k is the true value, which replaces the maximum value X max and minimum value X min .

[0095] This embodiment is based on the oil quality deterioration analysis-based power plant oil life cycle management system described in the present invention, combined with Figure 1 To better understand this implementation, a practical implementation is provided:

[0096] The information collection and entry module includes the equipment lubrication information module and the regular entry module, such as Figure 3 As shown, the equipment lubrication information module collects data according to the six modules of equipment lubrication ledger, oil storage management, oil maintenance management, waste oil disposal management, oil monitoring and diagnosis, and oil pollution control;

[0097] The regular entry module is used to set the enterable system parameters on the interface identification module.

[0098] The data processing module includes the lower computer module, the core data processing module and the data acquisition module;

[0099] The core data processing module IN-IOT100 is used to realize the functional control, data processing and integration of the device, as well as the orderly operation of each module;

[0100] The data acquisition module is used for real-time data collection of oil products in oil-using equipment;

[0101] like Figure 4 As shown, the data processing module collects oil product data of oil-using equipment in real time, and sends the processed data to the interface recognition module, including the following steps:

[0102] Step S1, the data acquisition module collects oil product data of the oil-using equipment in real time;

[0103] Step S2: The lower computer module detects whether the oil product data collected by the data acquisition module is valid. If it is valid, step S3 is executed; if not, step S1 is executed;

[0104] Step S3, the data acquisition module sends the oil product data to the core data processing module;

[0105] In step S4, the lower computer module detects whether the oil product data obtained by the core data processing module is valid. If valid, the lower computer module integrates the oil product data of the data acquisition module and the core data processing module, and sends the data to the interface identification module. If invalid, execute step S3.

[0106] The data acquisition module includes a viscosity sensor module, a pollution sensor module, a moisture sensor module and a temperature sensor module;

[0107] like Figure 2 As shown, it consists of a power supply module, a control core module IN-IOT100, a viscosity sensor module IFV20, a pollution sensor module IFJ-3, a moisture sensor module IFW-2A and a temperature sensor module IFF-2;

[0108] Among them, the power supply module provides a stable operating voltage for the device, so that other circuit modules can work normally;

[0109] The IFV20 viscosity multi-parameter sensor module has an integrated moisture content and temperature detection structure, which can complete the detection of viscosity, density, moisture content, and temperature at one time. At the same time, it can also be equipped with internal model data to optionally include other detection indicators such as real-time kinematic viscosity, kinematic viscosity at 40°C, kinematic viscosity at 100°C, and viscosity index.

[0110] The contamination sensor module IFJ-3 can accurately detect the size and quantity distribution of particles in the tested oil sample. Combined with the Fourier waveform analysis model, it can greatly improve the precision of the measurement of tiny particles and highly clean oil products.

[0111] The moisture sensor module IFW-2A can quickly and accurately detect the water activity (water saturation) and temperature of oil products. The moisture content model database built into the sensor data processor can convert the water saturation into the PPM value commonly used for oil testing.

[0112] The unique sensing structure and internal model of the temperature sensor module IFF-2 make it extremely sensitive to temperature changes and can respond to oil temperature changes in real time and continuously.

[0113] The GPRS / GSM remote communication module E16V can issue data adjustment instructions during equipment operation to ensure that the output data is valid data.

[0114] The interface recognition module is used to process data information from the data processing module and the information collection and entry module.

[0115] The diagnosis module is used to perform status calculation based on the data of the data processing module, send alarms or control signals to the data processing module through the interface recognition module, and complete data diagnosis based on the improved adaptive weighted combination algorithm;

[0116] The specific algorithm is as follows:

[0117] Considering that the sensor will be affected by the environmental noise Z during the actual acquisition process i The influence of the measured value X i and the true value S i The mathematical relationship is

[0118] X i =S i ±Z i , i=1,2,3···,n;

[0119] Take the average of the maximum and minimum values of n sensor measurements;

[0120] P0=(X max +X min ) / 2;

[0121] Taking the average value P0 as the standard and comparing it with the monitoring value X(n) collected by n sensors, we can get

[0122] D1={X(n)≥P0};

[0123] D2={X(n) <P0};

[0124] Calculate the average of D1 and D2 as F(D1) and F(D2), and calculate the average of F(D1) and F(D2) as the new median P1. Repeat the above steps to continuously adjust the median P1. k Iterate

[0125] P k =(F(D k )+F(D k+1 )) / 2, k=1,2,3···,n;

[0126] Until P k =P k+1 When , the iteration is completed. At this time, P k The true value to be estimated for the system of the improved adaptive weighted combination algorithm model is used to replace the maximum value Xmax and the minimum value Xmin.

[0127] The diagnostic module performs diagnostic analysis on the data from the equipment lubrication information module;

[0128] Determine whether there is oil quality abnormality or unreasonable process. If it is diagnosed that the oil quality is abnormal or the process is unreasonable, perform regression calculation on the abnormal index value or the unreasonable process to provide timely warning and include it in the fault database for ranking.

[0129] The interface recognition module and the diagnosis module fully consider the screening and fitting function optimization of the input data, thereby improving the precision and accuracy of the input data diagnosis;

[0130] The impact of environmental factors on the true value during the actual monitoring and collection process of the sensor is fully considered, thereby improving the precision and accuracy of the model data information monitoring and collection, with high fusion performance, meeting the requirements for accurate monitoring of oil moisture, kinematic viscosity, particle size and other indicators during the operation of power oil equipment;

[0131] In the oil quality management system for power oil equipment, an improved adaptive weighted fusion algorithm is used to fuse the input data and multiple oil quality indicators and important parameters of the management process collected by the monitoring device, so that the processor can automatically determine whether the oil quality of the power oil equipment is within the range required by the national standard and whether there is any abnormal condition in the oil equipment based on the fused numerical value.

[0132] The system described in this invention consists of a management system, a server database, and host computer software. Its function is to utilize the software system to evaluate, provide early warnings, and diagnose the oil products used in the operating status of power oil equipment and the overall process of oil products entering the factory. This allows for more accurate assurance of the reliability of the oil products used in power equipment during operation, enables real-time monitoring and control of information, and provides instructions for the operation of power oil equipment, enabling intelligent decision-making during operation and facilitating emergency response, thereby minimizing costs and maximizing efficiency.

[0133] The method for managing the full life cycle of oil products in a power plant based on oil quality degradation analysis described in this embodiment is implemented using the full life cycle management system for oil products in a power plant based on oil quality degradation analysis described in any of the above embodiments, and includes the following steps:

[0134] Step 1: The interface recognition module obtains the oil product data from the data processing module and the information collection and entry module respectively, and sends the data to the diagnosis module respectively;

[0135] Step 2: The diagnosis module processes the oil product data from the data processing module and the information acquisition and entry module respectively, and sends the processing results to the interface recognition module for display;

[0136] Step 3: The diagnosis module compares the oil quality data of the data processing module and the information collection and entry module at different nodes to see if there is any abnormality. If there is any abnormality, step 4 is executed. If there is no abnormality, the oil quality data of the data processing module and the information collection and entry module at different nodes are stored and recorded respectively, and the operation ends.

[0137] In step 4, the diagnostic module sends out corresponding warning signals respectively, and adjusts the oil product data of the data processing module and the information acquisition and entry module respectively. The diagnostic module then determines whether the data has returned to normal. If not, it returns to step 1. If so, it stores and records the data respectively and ends the operation.

[0138] This embodiment is based on the oil quality deterioration analysis based on the power plant oil life cycle management method of the present invention, combined with Figure 5 This will help you better understand this implementation.

[0139] An electronic device described in this embodiment includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0140] Memory for storing computer programs;

[0141] The processor is configured to implement the method steps described in the above embodiment when executing the program stored in the memory.

[0142] This embodiment describes a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method steps described in the above embodiment are implemented.

[0143] The memory in the embodiments of the present application can be volatile memory or non-volatile memory, or can include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM bus random access memory (DR RAM). It should be noted that memory of the methods described herein is intended to comprise, but not be limited to, these and any other suitable types of memory.

[0144] In the above embodiments, all or part of the embodiments can be implemented using software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired connection such as a coaxial cable, optical fiber, digital subscriber line (DSL), or wireless connection such as infrared, wireless, or microwave. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium such as a floppy disk, hard disk, magnetic tape, an optical medium such as a high-density digital video disc (DVD), or a semiconductor medium such as a solid-state disc (SSD).

[0145] During implementation, each step of the above method can be completed by an integrated logic circuit of the hardware in the processor or by instructions in the form of software. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as being executed by a hardware processor, or can be executed by a combination of hardware and software modules in the processor. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it will not be described in detail here.

[0146] It should be noted that the processor in the embodiments of the present application can be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above-described method embodiment can be completed by hardware integrated logic circuits in the processor or by software instructions. The above-described processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of the present application can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in the memory, and the processor reads the information in the memory and, in conjunction with its hardware, completes the steps of the above-described method.

[0147] The above is a detailed introduction to the full life cycle management system, method, equipment and storage medium for power plant oil products based on oil quality deterioration analysis proposed in the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A power plant oil product life cycle management system based on oil quality degradation analysis, characterized in that: The system includes a data processing module, an information collection and input module, an interface recognition module and a diagnosis module; The data processing module collects oil product data of oil-using equipment in real time, and sends the processed data to the interface recognition module; The information collection and input module collects the oil product life cycle data and inputs the data into the interface recognition module; The interface recognition module sends the oil product data from the data processing module and the information collection and entry module to the diagnosis module respectively; The diagnosis module calculates the oil status based on the oil data from the data processing module and calculates the oil diagnosis result based on the oil data from the information collection and input module. The oil status and the oil diagnosis result are both displayed on the interface identification module. The diagnosis module compares the oil product data of the data processing module and the information collection and entry module of different nodes to see if there is any abnormality; The data processing module includes a lower computer module, a core data processing module and a data acquisition module; The data acquisition module collects oil product data of oil-using equipment in real time; The core data processing module obtains oil product data of oil-using equipment and processes the data; The lower computer module respectively detects whether the oil product data of the data acquisition module and the core data processing module are valid, and after integrating the oil product data of the data acquisition module and the core data processing module, sends the data to the interface recognition module.

2. The power plant oil product life cycle management system based on oil quality degradation analysis according to claim 1 is characterized in that: The information collection and entry module includes an equipment lubrication information module and a regular entry module; The equipment lubrication information module collects oil lifecycle data and sends the data to the periodic entry module; The periodic input module converts the data of the entire life of the oil product into parameters that can be input into the interface recognition module, and then sends the data to the interface recognition module.

3. The power plant oil product life cycle management system based on oil quality degradation analysis according to claim 1 is characterized in that: The diagnosis module calculates the oil quality diagnosis result based on the oil quality data of the information collection and input module by using a self-adaptive weighted combination algorithm.

4. The power plant oil product life cycle management system based on oil quality degradation analysis according to claim 1 is characterized in that: The data acquisition module includes a viscosity sensor module, a pollution sensor module, a moisture sensor module and a temperature sensor module; The viscosity sensor module is used to detect the viscosity, density, water content and temperature of the oil in real time; The pollution sensor module is used to detect the size and quantity distribution of oil particles in real time; The moisture sensor module is used to detect the water activity and temperature of the oil in real time; The temperature sensor module is used to detect the temperature change of the oil in real time.

5. The power plant oil product life cycle management system based on oil quality degradation analysis according to claim 1 is characterized in that: The data processing module collects oil product data of oil-using equipment in real time, and sends the processed data to the interface recognition module, including the following steps: Step S1, the data acquisition module collects oil product data of the oil-using equipment in real time; Step S2: The lower computer module detects whether the oil product data collected by the data acquisition module is valid. If it is valid, step S3 is executed; if not, step S1 is executed; Step S3, the data acquisition module sends the oil product data to the core data processing module; In step S4, the lower computer module detects whether the oil product data obtained by the core data processing module is valid. If valid, the lower computer module integrates the oil product data of the data acquisition module and the core data processing module, and sends the data to the interface identification module. If invalid, execute step S3.

6. The power plant oil product life cycle management system based on oil quality degradation analysis according to claim 3 is characterized in that: The diagnostic module calculates the oil quality diagnosis result based on the oil quality data of the information collection and entry module by using an adaptive weighted combination algorithm, specifically: When the sensor collects the data of the entire life of the oil product, it will be affected by the environmental noise Z i The influence of the measured value X i and the true value S i The mathematical relationship is: X i =S i ±Z i ,i=1,2,3···,n; Take the maximum value X measured by n sensors max and minimum value X min The average value P0; P0=(X max +X min ) / 2; Taking the average value P0 as the standard and comparing it with the monitoring value X(n) collected by n sensors, we can get: D1={X(n)≥P0}; D2={X(n) <P0}; The average values of D1 and D2 are F(D1) and F(D2), and the average value of F(D1) and F(D2) is calculated as the new median P1. Repeat the above operation to continuously adjust the median P1. k Iterate P k =(F(D k )+F(D k+1 )) / 2,k=1,2,3···,n; Until P k =P k+1 When , the iteration is completed, and the median P k is the true value, which replaces the maximum value X max and minimum value X min .

7. A method for managing the entire life cycle of oil products in a power plant based on oil quality degradation analysis, the method being implemented by using the method for managing the entire life cycle of oil products in a power plant based on oil quality degradation analysis as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: The interface recognition module obtains the oil product data from the data processing module and the information collection and entry module respectively, and sends the data to the diagnosis module respectively; Step 2: The diagnosis module processes the oil product data from the data processing module and the information acquisition and entry module respectively, and sends the processing results to the interface recognition module for display; Step 3: The diagnosis module compares the oil quality data of the data processing module and the information collection and entry module at different nodes to see if there is any abnormality. If there is any abnormality, step 4 is executed. If there is no abnormality, the oil quality data of the data processing module and the information collection and entry module at different nodes are stored and recorded respectively, and the operation ends. In step 4, the diagnostic module sends out corresponding warning signals respectively, and adjusts the oil product data of the data processing module and the information acquisition and entry module respectively. The diagnostic module then determines whether the data has returned to normal. If not, it returns to step 1. If so, it stores and records the data respectively and ends the operation.

8. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory for storing computer programs; The processor is configured to implement the method steps described in claim 7 when executing the program stored in the memory.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method steps of claim 7 are implemented.

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