Shield tunneling machine gear oil real-time monitoring method and system

Abstract

The invention discloses a shield tunneling machine gear oil real-time monitoring method and system, and the method comprises the steps: carrying out the data collection and processing of a set test point through a set sensor, obtaining the real-time parameter data of gear oil, and transmitting the real-time parameter data to a data collection processor through a set data transmission channel; real-time analysis data is obtained through analysis and processing and is transmitted to a data processing center; the data processing center processes the real-time analysis data, generates a data real-time trend curve graph and displays the data real-time trend curve graph on a user interface; comparing and judging the real-time analysis data with early warning data in an early warning database, and outputting an over-limit alarm on a user interface; comparing and diagnosing the over-limit alarm through a diagnosis database, and outputting a fault diagnosis result and a maintenance suggestion on a user interface; and storing the data into a database as historical data for subsequent information query. The state change of gear oil can be continuously monitored, potential problems can be found in time, early warning prompt is given out, and response measures can be taken in time.

Description

Technical Field

[0001] The present invention relates to the technical field of shield machine drive lubrication monitoring, and in particular to a shield machine gear oil real-time monitoring method and system. Background Art

[0002] Shield machines have been widely used in tunnel construction. The shield machine grease system ensures the normal operation of the shield machine. Gear oil, as the lifeblood of the main drive of the tunnel boring machine, plays a role in sealing, lubrication, friction reduction, cooling, cleaning, and shock absorption during equipment operation. Its performance status is directly related to the stability and life of the equipment operation. Gear oil status detection currently mostly relies on sampling testing. Traditional sampling and testing methods need to be carried out in a laboratory environment. The lubricating oil must be sealed and stored and sent to the laboratory for testing and analysis. The offline detection method has a long detection cycle and cannot detect abnormal equipment operation in a timely manner. In addition, the analysis process requires expert experience and a high level of experience for the test operator. This makes the offline detection method unsuitable for on-site use and is not conducive to early fault diagnosis and early warning of mechanical equipment.

[0003] Currently, shield machine gear oil sampling is mostly performed offline to determine main drive wear and fault information. Offline testing methods include physical and chemical indicators (moisture content, viscosity, and acid value); ferrography; particle size analysis; spectral analysis; and PQ value determination. Furthermore, traditional offline gear oil testing requires machine downtime for sampling, results in a high level of empirical components, and fails to provide real-time information on the gear oil's condition.

[0004] Therefore, how to invent a real-time monitoring method for shield machine gear oil that can continuously monitor the state changes of gear oil, promptly discover potential problems, and issue early warning prompts so that timely response measures can be taken has become an urgent problem to be solved. Summary of the Invention

[0005] To this end, the present invention provides a real-time monitoring method and system for shield machine gear oil. Using high-precision sensors and advanced data processing algorithms, these systems can continuously monitor changes in the gear oil's status and promptly identify potential problems. When the gear oil's status is abnormal, an early warning alert is issued, facilitating timely action.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a real-time monitoring method for shield machine gear oil, comprising: Acquire and process data at set test points using set sensors to obtain real-time parameter data of the gear oil; transmit the real-time parameter data to a data acquisition processor through a set data transmission channel; The data acquisition processor analyzes and processes the real-time parameter data to obtain real-time analysis data, and transmits the real-time analysis data to a data processing center via Profibus-DP communication; The data processing center processes the real-time analysis data, generates a real-time trend graph of the data, and displays the real-time trend graph of the data on the user interface; The data processing center compares the real-time analysis data with the warning data in the warning database. If the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface. Compare and diagnose the over-limit alarm through the diagnostic database, and output the fault diagnosis results and maintenance suggestions on the user interface; The real-time analysis data, the over-limit alarm, the fault diagnosis result and the maintenance suggestion are stored in a database as historical data for subsequent information query.

[0007] As a preferred solution of a shield machine gear oil real-time monitoring method, the real-time parameter data of the gear oil includes: real-time temperature data, real-time vibration data and real-time particle size data; The real-time temperature data acquisition sensor is a temperature sensor with an acquisition frequency of 1 Hz; The sensor for collecting the real-time vibration data is a vibration acceleration sensor, the frequency of which is 10KHz and the collection accuracy is 12 bits; The sensor for collecting the real-time particle size data is the Yatai Optoelectronics YFJ-4 online particle size sensor.

[0008] As a preferred solution for a real-time monitoring method of shield machine gear oil, in the process of transmitting the real-time parameter data to the data acquisition processor through the set data transmission channel, the real-time temperature data is transmitted to the data acquisition processor through the temperature acquisition circuit; the real-time vibration data is transmitted to the data acquisition processor through the vibration acquisition circuit; and the real-time particle size data is transmitted to the data acquisition processor through DP communication.

[0009] As a preferred solution of a shield machine gear oil real-time monitoring method, the vibration acceleration sensor includes: a piezoelectric acceleration sensor, a capacitive acceleration sensor and a resistive acceleration sensor.

[0010] As a preferred solution for a real-time monitoring method of shield machine gear oil, the real-time analysis data, the over-limit alarm, the fault diagnosis results and the maintenance suggestions are sorted according to time periods to generate a report in a set format.

[0011] The present invention also provides a shield machine gear oil real-time monitoring system, based on the above shield machine gear oil real-time monitoring method, comprising: A real-time parameter data acquisition and transmission module is used to acquire and process data from set test points through set sensors to obtain real-time parameter data of the gear oil; and transmit the real-time parameter data to a data acquisition processor through a set data transmission channel; A real-time analysis data acquisition and transmission module is used for the data acquisition processor to analyze and process the real-time parameter data to obtain real-time analysis data, and transmit the real-time analysis data to the data processing center via Profibus-DP communication; A data real-time trend graph generation and display module is used for the data processing center to process the real-time analysis data, generate a data real-time trend graph, and display the data real-time trend graph on the user interface; A data judgment and warning processing module is used for the data processing center to compare and judge the real-time analysis data with the warning data in the warning database. If the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface; A fault diagnosis processing module is used to compare and diagnose the over-limit alarm with a diagnostic database and output the fault diagnosis results and maintenance suggestions on the user interface; The data storage module is used to store the real-time analysis data, the over-limit alarm, the fault diagnosis results and the maintenance suggestions in a database as historical data for subsequent information query.

[0012] As a preferred solution of a shield machine gear oil real-time monitoring system, in the real-time parameter data acquisition and transmission module, the real-time parameter data of the gear oil includes: real-time temperature data, real-time vibration data and real-time particle size data; The real-time temperature data acquisition sensor is a temperature sensor with an acquisition frequency of 1 Hz; The sensor for collecting the real-time vibration data is a vibration acceleration sensor, the frequency of which is 10KHz and the collection accuracy is 12 bits; The sensor for collecting the real-time particle size data is the Yatai Optoelectronics YFJ-4 online particle size sensor.

[0013] As a preferred solution for a real-time monitoring system for shield machine gear oil, in the real-time parameter data acquisition and transmission module, in the process of transmitting the real-time parameter data to the data acquisition processor through the set data transmission channel, the temperature real-time data is transmitted to the data acquisition processor through the temperature acquisition circuit; the vibration real-time data is transmitted to the data acquisition processor through the vibration acquisition circuit; and the particle size real-time data is transmitted to the data acquisition processor through DP communication.

[0014] As a preferred solution for a real-time monitoring system for shield machine gear oil, in the real-time parameter data acquisition and transmission module, the vibration acceleration sensor includes: a piezoelectric acceleration sensor, a capacitive acceleration sensor, and a resistive acceleration sensor.

[0015] As a preferred solution for a real-time monitoring system for shield machine gear oil, in the data storage module, the real-time analysis data, the over-limit alarm, the fault diagnosis results and the maintenance suggestions are sorted according to time periods to generate a report in a set format.

[0016] The present invention has the following advantages: the present invention collects and processes data from set test points by setting sensors to obtain real-time parameter data of gear oil; the real-time parameter data is transmitted to a data acquisition processor through a set data transmission channel; the data acquisition processor analyzes and processes the real-time parameter data to obtain real-time analysis data, and transmits the real-time analysis data to a data processing center through Profibus-DP communication; the data processing center processes the real-time analysis data to generate a real-time trend curve chart of the data, and displays the real-time trend curve chart of the data on a user interface; the data processing center compares and judges the real-time analysis data with the warning data in the warning database, and if the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface; the over-limit alarm is compared and diagnosed through a diagnostic database, and a fault diagnosis result and maintenance suggestion are output on the user interface; the real-time analysis data, the over-limit alarm, the fault diagnosis result and the maintenance suggestion are stored in a database as historical data for subsequent information query. The present invention can continuously monitor the state changes of gear oil and promptly discover potential problems; the present invention adopts high-precision sensors and advanced data processing algorithms to ensure the accuracy of monitoring data; the present invention has a user-friendly interface, and operators can easily master the use method; the present invention can issue an early warning prompt when the gear oil state is abnormal, facilitating timely response measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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 the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and those skilled in the art can, without inventive effort, derive other implementation drawings based on the provided drawings.

[0018] The structures, proportions, sizes, etc. illustrated in this specification are intended solely to complement the contents disclosed herein and to facilitate understanding and reading by persons skilled in the art. They are not intended to limit the conditions under which the present invention may be implemented and therefore have no substantive technical significance. Any structural modifications, changes in proportions, or adjustments in sizes, without affecting the efficacy and objectives of the present invention, shall remain within the scope of the technical contents disclosed herein.

[0019] Figure 1 This is a flow chart of a method for real-time monitoring of shield machine gear oil provided in Example 1 of the present invention; Figure 2 This is a schematic diagram of a specific implementation process of a method for real-time monitoring of shield machine gear oil provided in Example 1 of the present invention; Figure 3 This is a schematic diagram of the principle of a particle size sensor in a real-time monitoring method for shield machine gear oil provided in Example 1 of the present invention; Figure 4 This is a schematic diagram of the analysis and processing flow of a data processing center in a real-time monitoring method for shield machine gear oil provided in Example 1 of the present invention; Figure 5 This is a schematic diagram of the architecture of a real-time monitoring system for shield machine gear oil provided in Example 2 of the present invention; Figure 6 This is a schematic diagram of the specific principle framework of a real-time monitoring system for shield machine gear oil provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0020] The following describes the implementation of the present invention using specific embodiments. Those skilled in the art will readily understand the other advantages and benefits of the present invention from the disclosure herein. Obviously, the embodiments described are only a portion of the present invention, not all of it. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are intended to fall within the scope of protection of the present invention. Example

[0021] See also Figure 1 and Figure 2 Embodiment 1 of the present invention provides a method for real-time monitoring of shield machine gear oil, comprising the following steps: S1. Collecting and processing data at set test points using set sensors to obtain real-time parameter data of the gear oil; transmitting the real-time parameter data to a data acquisition processor through a set data transmission channel; S2, the data acquisition processor analyzes and processes the real-time parameter data to obtain real-time analysis data, and transmits the real-time analysis data to the data processing center via Profibus-DP communication; S3. The data processing center processes the real-time analysis data, generates a real-time data trend curve chart, and displays the real-time data trend curve chart on the user interface; S4. The data processing center compares the real-time analysis data with the warning data in the warning database. If the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface. S5. Compare and diagnose the over-limit alarm using a diagnostic database, and output fault diagnosis results and maintenance suggestions on a user interface; S6. Storing the real-time analysis data, the over-limit alarm, the fault diagnosis result, and the maintenance suggestion in a database as historical data for subsequent information query.

[0022] In this embodiment, in step S1, data is collected and processed at a set test point by a set sensor to obtain real-time parameter data of the gear oil; the real-time parameter data is transmitted to a data acquisition processor through a set data transmission channel; The real-time parameter data of the gear oil includes: real-time temperature data, real-time vibration data and real-time particle size data; The real-time temperature data acquisition sensor is a temperature sensor with an acquisition frequency of 1 Hz; The sensor for collecting the real-time vibration data is a vibration acceleration sensor, the frequency of which is 10KHz and the collection accuracy is 12 bits; Among them, the vibration acceleration sensor includes: piezoelectric acceleration sensor, capacitive acceleration sensor and resistive acceleration sensor. Piezoelectric acceleration sensor: acceleration measurement is realized based on the principle of piezoelectric effect, such as crystal piezoelectric acceleration sensor and ceramic piezoelectric acceleration sensor; capacitive acceleration sensor: acceleration measurement is realized based on the principle of capacitance change, such as micro-capacitive acceleration sensor and micro-electromechanical system (MEMS) capacitive acceleration sensor; resistive acceleration sensor: acceleration is measured by using the change of resistance, such as strain gauge acceleration sensor and conductor piezoresistive acceleration sensor. The present invention adopts a piezoelectric uniaxial acceleration sensor with an internal charge amplifier and a binary wiring method. The acceleration sensor parameter values are shown in Table 1:

[0023] Table 1 Accelerometer sensor parameters In this embodiment, the sensor for collecting real-time particle size data is the Yatai Optoelectronics YFJ-4 online particle size sensor. This sensor is developed using the light shielding principle and can provide real-time particle counts and pollution levels of the measured sample. Figure 3The figure shows a schematic diagram of the particle size sensor: a parallel light beam passes vertically through a sample flow chamber with a cross-sectional area of A and illuminates the photoelectric receiver device. When there are no solid particles in the liquid flow, the voltage output by the circuit is E; when a particle with a projected area of a passes through the sample flow chamber in the liquid flow, it will block the parallel light beam, causing the transmitted light to attenuate. At this time, a negative pulse with an amplitude of E0 is output on the circuit. The size of the negative pulse E0 reflects the number of particles. The YFJ-4 particle counting online oil monitoring sensor uses the light resistance method specified in ISO4402 / ISO11171 to detect the degree of oil contamination. It has the characteristics of fast detection speed, strong anti-interference, high accuracy, and good repeatability. E0=(a / A)×E. If the particle is spherical, or the particle is described by an equivalent diameter d and E is equal to 10v, then E0=7.854×d 2 / A.

[0024] In this embodiment, the real-time temperature data is transmitted to the data acquisition processor via the temperature acquisition circuit; the real-time vibration data is transmitted to the data acquisition processor via the vibration acquisition circuit; and the real-time particle size data is transmitted to the data acquisition processor via DP communication.

[0025] In this embodiment, in step S2, the data acquisition processor analyzes and processes the real-time parameter data to obtain real-time analysis data, and transmits the real-time analysis data to the data processing center via Profibus-DP communication; Specifically, the present invention uses the Siemens 300 Series 319-3PN / DP as a data acquisition processor, requiring only the addition of a set of analog input modules to the shield machine control system. The Siemens 300 CPU controls the circuits of the other modules and performs corresponding algorithmic analysis on the collected raw data, generating real-time analysis data that is then transmitted to a data processing center via Profibus-DP communication.

[0026] When the data acquisition processor analyzes and processes real-time parameter data (temperature, vibration, and particle size), a filtering algorithm can be introduced to improve data accuracy. For example, for real-time vibration data, since its acquisition frequency is 10KHz, there may be noise interference. The basic principle of the Kalman filter algorithm is to make an optimal estimate of the noisy measurement data through two steps: prediction and update. Assume that the state equation of the vibration data is , the observation equation is ,in yes The state vector at time t, is the state transition matrix, is the control input matrix, is the control input, is the process noise, yes The observation vector at time t, is the observation matrix, is the observed noise. By continuously iteratively calculating the predicted value and updating the value, more accurate vibration analysis data can be obtained.

[0027] In this embodiment, in step S3, the data processing center processes the real-time analysis data, generates a real-time trend graph of the data, and displays the real-time trend graph of the data on the user interface; Specifically, such as Figure 4 As shown, the data processing center processes the received real-time analysis data, generates a real-time trend curve graph of the data, and displays it through the user interface.

[0028] Among them, when generating real-time trend curves of data in the data processing center, in addition to simply showing the changes of data over time, a curve fitting algorithm can be used to make the trend more obvious. For example, for real-time temperature data, the least squares method can be used for curve fitting. Assume that the temperature data point is , , the fitting curve is , by minimizing the sum of squared errors To determine the coefficient , thus obtaining a curve that more accurately reflects the temperature change trend.

[0029] In this embodiment, in step S4, the data processing center compares the real-time analysis data with the warning data in the warning database. If the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface. Specifically, such as Figure 4 As shown, the data processing center compares the real-time analysis data with the warning data in the warning database. If the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface; the shield machine driver can make judgments and issue corresponding treatment measures based on the reference test results. Taking 320# hydraulic oil used in shield machines as an example, the reference values of its warning data are shown in Table 2:

[0030] Table 2 Reference values for each test item In this embodiment, in step S5, the over-limit alarm is compared and diagnosed through the diagnostic database, and the fault diagnosis result and maintenance suggestion are output on the user interface; Specifically, such as Figure 4As shown, the over-limit alarm is compared and diagnosed with the diagnostic database. If the over-limit alarm is consistent with the data in the diagnostic database, a corresponding fault is determined to have occurred, and the fault diagnosis result and maintenance suggestions are output on the user interface. If the over-limit alarm is inconsistent with the data in the diagnostic database, it is determined that no corresponding fault has occurred.

[0031] Among them, when comparing and diagnosing the over-limit alarm through the diagnostic database, the fault probability model can be introduced. Taking the fault diagnosis caused by excessive gear oil particle size as an example, assuming there is a fault , the observed data related to particle size are , according to Bayes' formula ,in It is a fault The prior probability of occurrence can be obtained based on historical data statistics; Is at fault Observed data when it occurs The probability of can be obtained through experiments or simulations; It is observed data The probability of can be calculated by the total probability formula. , can more accurately judge the possibility of fault occurrence and output more reliable fault diagnosis results.

[0032] When generating maintenance recommendations, detailed rules can be developed based on fault type and severity. For example, if the gear oil temperature exceeds the warning threshold and vibration data is abnormal, this indicates a possible serious mechanical failure. Maintenance recommendations can be graded based on the urgency and difficulty of the fault. For example, for minor faults, inspection and repair are recommended during the next scheduled maintenance. For severe faults, immediate shutdown for a comprehensive overhaul is recommended, along with detailed repair steps and a list of replacement parts.

[0033] In this embodiment, in step S6, the real-time analysis data, the over-limit alarm, the fault diagnosis result and the maintenance suggestion are stored in a database as historical data for subsequent information query.

[0034] Specifically, the real-time analysis data, the over-limit alarms, the fault diagnosis results, and the maintenance recommendations are stored in a database as historical data for subsequent information query. Furthermore, the real-time analysis data, the over-limit alarms, the fault diagnosis results, and the maintenance recommendations are organized by time period to generate reports in a predefined format, and oil characteristics and particle size data tables or curves are printed to facilitate subsequent statistics and query.

[0035] To summarize, the present invention acquires real-time parameter data of gear oil by setting sensors to collect and process data at set test points; transmits the real-time parameter data to a data acquisition processor through a set data transmission channel; the data acquisition processor analyzes and processes the real-time parameter data to obtain real-time analysis data, and transmits the real-time analysis data to a data processing center through Profibus-DP communication; the data processing center processes the real-time analysis data to generate a real-time trend graph of the data, and displays the real-time trend graph of the data on a user interface; the data processing center compares and judges the real-time analysis data with the warning data in the warning database, and if the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface; the over-limit alarm is compared and diagnosed through a diagnostic database, and fault diagnosis results and maintenance suggestions are output on the user interface; the real-time analysis data, the over-limit alarm, the fault diagnosis results and the maintenance suggestions are stored in a database as historical data for subsequent information queries. The present invention can continuously monitor the state changes of gear oil and promptly discover potential problems; the present invention adopts high-precision sensors and advanced data processing algorithms to ensure the accuracy of monitoring data; the present invention has a user-friendly interface, and operators can easily master the use method; the present invention can issue an early warning prompt when the gear oil state is abnormal, facilitating timely response measures.

[0036] It should be noted that the method of the embodiments of the present disclosure can be performed by a single device, such as a computer or server. The method of the embodiments of the present disclosure can also be applied in a distributed scenario, where multiple devices cooperate to perform the method. In such a distributed scenario, one of the multiple devices may only perform one or more steps of the method of the embodiments of the present disclosure, and the multiple devices will interact with each other to complete the method.

[0037] It should be noted that the above description is limited to some embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in an order different from that described in the above embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous. Example

[0038] See also Figure 5 and Figure 6 Embodiment 2 of the present invention further provides a shield machine gear oil real-time monitoring system, comprising: The real-time parameter data acquisition and transmission module 001 is used to acquire and process data from set test points through set sensors to obtain real-time parameter data of the gear oil; and transmit the real-time parameter data to the data acquisition processor through a set data transmission channel; The real-time analysis data acquisition and transmission module 002 is used for the data acquisition processor to analyze and process the real-time parameter data to obtain real-time analysis data, and transmit the real-time analysis data to the data processing center via Profibus-DP communication; The data real-time trend graph generation and display module 003 is used for the data processing center to process the real-time analysis data, generate a data real-time trend graph, and display the data real-time trend graph on the user interface; The data judgment and warning processing module 004 is used for the data processing center to compare the real-time analysis data with the warning data in the warning database. If the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface; The fault diagnosis processing module 005 is used to compare and diagnose the over-limit alarm with the diagnostic database and output the fault diagnosis results and maintenance suggestions on the user interface; The data storage module 006 is used to store the real-time analysis data, the over-limit alarm, the fault diagnosis results and the maintenance suggestions in a database as historical data for subsequent information query.

[0039] In this embodiment, in the real-time parameter data acquisition and transmission module 001, the real-time parameter data of the gear oil includes: real-time temperature data, real-time vibration data and real-time particle size data; The real-time temperature data acquisition sensor is a temperature sensor with an acquisition frequency of 1 Hz; The sensor for collecting the real-time vibration data is a vibration acceleration sensor, the frequency of which is 10KHz and the collection accuracy is 12 bits; The sensor for collecting the real-time particle size data is the Yatai Optoelectronics YFJ-4 online particle size sensor.

[0040] In this embodiment, in the real-time parameter data acquisition and transmission module 001, in the process of transmitting the real-time parameter data to the data acquisition processor through the set data transmission channel, the temperature real-time data is transmitted to the data acquisition processor through the temperature acquisition circuit; the vibration real-time data is transmitted to the data acquisition processor through the vibration acquisition circuit; and the granularity real-time data is transmitted to the data acquisition processor through DP communication.

[0041] In this embodiment, in the real-time parameter data acquisition and transmission module 001, the vibration acceleration sensor includes: a piezoelectric acceleration sensor, a capacitive acceleration sensor, and a resistive acceleration sensor.

[0042] In this embodiment, the data storage module 006 organizes the real-time analysis data, the over-limit alarm, the fault diagnosis result and the maintenance suggestion according to time periods to generate a report in a set format.

[0043] It should be noted that the information interaction, execution process, etc. between the modules of the above-mentioned system are based on the same concept as the method embodiment in Example 1 of the present application, and the technical effects they bring are the same as those of the method embodiment of the present application. For specific contents, please refer to the description in the method embodiment shown above in the present application, and no further details will be given here. Example

[0044] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium, in which a program code for a real-time monitoring method for shield machine gear oil is stored. The program code includes instructions for executing embodiment 1 or any possible implementation method of a real-time monitoring method for shield machine gear oil.

[0045] Computer-readable storage media 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 includes one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)). Example

[0046] Embodiment 4 of the present invention provides an electronic device, including: a memory and a processor; The processor and the memory communicate with each other through a bus; the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute a real-time monitoring method for shield machine gear oil in embodiment 1 or any possible implementation thereof.

[0047] Specifically, the processor can be implemented by hardware or by software. When implemented by hardware, the processor can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor can be a general-purpose processor, which is implemented by reading software code stored in a memory. The memory can be integrated into the processor or located outside the processor and exist independently.

[0048] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable systems. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode.

[0049] Obviously, those skilled in the art will appreciate that the various modules or steps of the present invention described above can be implemented using a general-purpose computing system. They can be centralized on a single computing system or distributed across a network of multiple computing systems. Alternatively, they can be implemented using program code executable by a computing system, and thus, they can be stored in a storage system and executed by the computing system. In some cases, the steps shown or described herein can be performed in a different order than that shown, or they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0050] While the present invention has been described in detail above using general descriptions and specific embodiments, it will be readily apparent to those skilled in the art that modifications and improvements may be made to the present invention. Therefore, any such modifications and improvements that do not depart from the spirit of the present invention are intended to fall within the scope of protection claimed herein.

Claims

1. A real-time monitoring method for shield machine gear oil, characterized in that: include: By setting sensors to collect and process data at set test points, real-time parameter data of gear oil can be obtained; Transmitting the real-time parameter data to a data acquisition processor through a set data transmission channel; The data acquisition processor analyzes and processes the real-time parameter data to obtain real-time analysis data, and transmits the real-time analysis data to a data processing center via Profibus-DP communication; The data processing center processes the real-time analysis data, generates a real-time trend graph of the data, and displays the real-time trend graph of the data on the user interface; The data processing center compares the real-time analysis data with the warning data in the warning database. If the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface. Compare and diagnose the over-limit alarm through the diagnostic database, and output the fault diagnosis results and maintenance suggestions on the user interface; The real-time analysis data, the over-limit alarm, the fault diagnosis result and the maintenance suggestion are stored in a database as historical data for subsequent information query.

2. A shield machine gear oil real-time monitoring method according to claim 1, characterized in that: The real-time parameter data of the gear oil includes: real-time temperature data, real-time vibration data and real-time particle size data; The real-time temperature data acquisition sensor is a temperature sensor with an acquisition frequency of 1 Hz; The sensor for collecting the real-time vibration data is a vibration acceleration sensor, the frequency of which is 10KHz and the collection accuracy is 12 bits; The sensor for collecting the real-time particle size data is the Yatai Optoelectronics YFJ-4 online particle size sensor.

3. A shield machine gear oil real-time monitoring method according to claim 2, characterized in that: In the process of transmitting the real-time parameter data to the data acquisition processor via the set data transmission channel, the real-time temperature data is transmitted to the data acquisition processor via the temperature acquisition circuit; The real-time vibration data is transmitted to the data acquisition processor via the vibration acquisition circuit; The granularity real-time data is transmitted to the data acquisition processor via DP communication.

4. A shield machine gear oil real-time monitoring method according to claim 3, characterized in that: The vibration acceleration sensor includes: a piezoelectric acceleration sensor, a capacitive acceleration sensor and a resistive acceleration sensor.

5. A shield machine gear oil real-time monitoring method according to claim 4, characterized in that: The real-time analysis data, the over-limit alarm, the fault diagnosis results and the maintenance suggestions are sorted according to time periods to generate a report in a set format.

6. A shield machine gear oil real-time monitoring system, using a shield machine gear oil real-time monitoring system according to any one of claims 1 to 5, characterized in that: include: Real-time parameter data acquisition and transmission module, used to collect and process data from set test points through set sensors to obtain real-time parameter data of gear oil; Transmitting the real-time parameter data to a data acquisition processor through a set data transmission channel; A real-time analysis data acquisition and transmission module is used for the data acquisition processor to analyze and process the real-time parameter data to obtain real-time analysis data, and transmit the real-time analysis data to the data processing center via Profibus-DP communication; A data real-time trend graph generation and display module is used for the data processing center to process the real-time analysis data, generate a data real-time trend graph, and display the data real-time trend graph on the user interface; A data judgment and warning processing module is used for the data processing center to compare and judge the real-time analysis data with the warning data in the warning database. If the real-time analysis data exceeds the reference value of the warning data, an over-limit alarm is output on the user interface; A fault diagnosis processing module is used to compare and diagnose the over-limit alarm with a diagnostic database and output the fault diagnosis results and maintenance suggestions on the user interface; The data storage module is used to store the real-time analysis data, the over-limit alarm, the fault diagnosis results and the maintenance suggestions in a database as historical data for subsequent information query.

7. A shield machine gear oil real-time monitoring system according to claim 6, characterized in that: In the real-time parameter data acquisition and transmission module, the real-time parameter data of the gear oil includes: real-time temperature data, real-time vibration data and real-time particle size data; The real-time temperature data acquisition sensor is a temperature sensor with an acquisition frequency of 1 Hz; The sensor for collecting the real-time vibration data is a vibration acceleration sensor, the frequency of which is 10KHz and the collection accuracy is 12 bits; The sensor for collecting the real-time particle size data is the Yatai Optoelectronics YFJ-4 online particle size sensor.

8. A shield machine gear oil real-time monitoring system according to claim 7, characterized in that: In the real-time parameter data acquisition and transmission module, in the process of transmitting the real-time parameter data to the data acquisition processor through the set data transmission channel, the real-time temperature data is transmitted to the data acquisition processor through the temperature acquisition circuit; The real-time vibration data is transmitted to the data acquisition processor via the vibration acquisition circuit; The granularity real-time data is transmitted to the data acquisition processor via DP communication.

9. A shield machine gear oil real-time monitoring system according to claim 8, characterized in that: In the real-time parameter data acquisition and transmission module, the vibration acceleration sensor includes: a piezoelectric acceleration sensor, a capacitive acceleration sensor and a resistive acceleration sensor.

10. A shield machine gear oil real-time monitoring system according to claim 9, characterized in that: In the data storage module, the real-time analysis data, the over-limit alarm, the fault diagnosis result and the maintenance suggestion are sorted according to time periods to generate a report in a set format.

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