Multi-point parameter comprehensive detection method and system for storage tool magazine lubrication system

Abstract

The present invention relates to the technical field of lubrication system detection, and in particular to a multi-point parameter comprehensive detection method and system for a storage tool magazine lubrication system, the method comprising: determining the tool magazine type and mechanical operation mode of the storage tool magazine, and determining the key lubrication position; setting a plurality of parameters to be detected that affect the lubrication degree according to the key position, and detecting the position to obtain a number of single detection parameters; interactively combining the several single detection parameters to generate multi-dimensional detection parameter information; monitoring the lubrication system performance parameters, and obtaining the lubrication system status monitoring information; establishing a tool magazine lubrication detection model, inputting the multi-dimensional detection parameter information and the lubrication system status monitoring information, and obtaining the lubrication comprehensive detection result. Through the present invention, the problem that the existing lubrication system cannot achieve the optimization of lubrication efficiency and the problem of lack of detection of multiple mechanical motion parameters of the storage tool magazine to verify the oil supply condition of the lubrication system are effectively solved.

Description

Technical Field

[0001] The invention relates to the technical field of lubrication system detection, and in particular to a multi-point parameter comprehensive detection method and system for a storage tool magazine lubrication system. Background Art

[0002] In the field of modern manufacturing and mechanical automation, the storage tool magazine, as a core component of machine tools, plays a vital role in improving production efficiency and processing accuracy. The tool magazine system supports machine tools to perform various processing tasks without human intervention by automatically changing tools. Since the tool magazine involves multiple dynamic and high-precision mechanical components, such as tool changing arms, rotary tables and moving rails, effective lubrication of these components is essential to ensure smooth operation and long-term reliability of the equipment.

[0003] Existing lubrication systems usually use simple timed or quantitative lubrication methods. Although this meets basic needs to a certain extent, it often ignores the changes in lubrication requirements caused by differences in tool magazine types and mechanical operating modes, and cannot optimize lubrication efficiency. There is also a lack of detection of multiple mechanical motion parameters of the storage tool magazine to verify the oil supply condition of the lubrication system.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present disclosure, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0005] The present invention provides a multi-point parameter comprehensive detection method and system for a storage tool magazine lubrication system, which can effectively solve the problems in the background technology.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] A multi-point parameter comprehensive detection method for a storage tool magazine lubrication system, the method comprising:

[0008] Determine the tool magazine type and mechanical operation mode of the storage tool magazine, and determine the key lubrication position according to the tool magazine type and mechanical operation mode;

[0009] According to the key lubrication positions, a plurality of parameters to be detected that affect the lubrication degree are set, and the key lubrication positions are respectively detected according to the parameters to be detected to obtain a plurality of single detection parameters of each key lubrication position;

[0010] Interactively combining the single detection parameters of each of the key lubrication positions to generate multi-dimensional detection parameter information;

[0011] Monitor the performance parameters of the lubrication system and obtain lubrication system status monitoring information;

[0012] A tool magazine lubrication detection model is established, and the multi-dimensional detection parameter information and lubrication system status monitoring information are input into the tool magazine lubrication detection model to obtain a comprehensive lubrication detection result.

[0013] Further, determining the tool magazine type and mechanical operation mode of the storage tool magazine, and determining the key lubrication position according to the tool magazine type and mechanical operation mode, including:

[0014] Determine the operation motion characteristics of each mechanical component according to the tool magazine type and the mechanical operation mode, and evaluate the motion frequency and motion load of each mechanical component according to the operation motion characteristics;

[0015] Identify the lubrication requirements of each mechanical component according to the motion frequency and motion load, and determine the key lubrication position;

[0016] Monitoring points are set for the key lubrication positions to track the lubrication status of the key lubrication positions.

[0017] Furthermore, a plurality of parameters to be detected that affect the lubrication degree are set according to the key lubrication positions, and the key lubrication positions are respectively detected according to the parameters to be detected to obtain a plurality of single detection parameters of each key lubrication position; including:

[0018] A sensor is set according to the operation motion characteristics of the key lubrication position, and the sensor corresponds to a plurality of parameters to be tested that affect the lubrication degree;

[0019] Constructing a sensor configuration network to configure the parameters to be tested required by the sensors arranged at each of the key lubrication positions;

[0020] The key lubrication position is detected by the configured sensor, and a number of corresponding single detection parameters are obtained.

[0021] Furthermore, a sensor configuration network is constructed to configure the parameters to be tested required by the sensors arranged at each of the key lubrication positions, including:

[0022] The sensor corresponds to at least two of the key lubrication positions, and all the key lubrication positions are sorted according to the motion frequency and the motion load to obtain a lubrication position sorting result;

[0023] The lubrication position sorting result is divided according to the number of sensors set to obtain a plurality of lubrication motion segment sequences, each of the sensors corresponds to the lubrication motion segment sequence, and a plurality of single detection parameters are collected for the lubrication segment sequence;

[0024] Acquire the real-time position information of the key lubrication position in each lubrication motion segment sequence corresponding to the storage tool magazine;

[0025] A sensor configuration network is constructed to integrate the real-time position information in each lubrication motion segment sequence, and the integrated results are sent to the corresponding sensors. The sensors collect several single detection parameters at the key lubrication positions according to the real-time position information in the lubrication motion segment sequence.

[0026] Furthermore, several of the single detection parameters of each of the key lubrication positions are interactively combined to generate multi-dimensional detection parameter information, including:

[0027] Determine the individual detection parameters of each of the key lubrication positions, and analyze the correlation between the individual detection parameters and their impact on the health of the lubrication system;

[0028] Adopting data fusion technology and analyzing the dependency between the individual detection parameters according to the correlation between the individual detection parameters and the health impact on the lubrication system, and interactively combining several individual detection parameters to generate several composite feedback information affecting the lubrication system;

[0029] A plurality of the composite feedback information of the same key lubrication position are integrated to obtain multi-dimensional detection parameter information.

[0030] Furthermore, the multi-dimensional detection parameter information and the lubrication system status monitoring information are input into the tool magazine lubrication detection model to obtain a comprehensive lubrication detection result, including:

[0031] Establishing a lubrication detection database, collecting historical lubrication system maintenance and repair information, and storing and managing the historical lubrication system maintenance and repair information through the lubrication detection database;

[0032] Performing deep learning on the lubrication detection database, and establishing a tool magazine lubrication detection model based on the deep learning results;

[0033] According to the lubrication detection database and the deep learning result, the multi-dimensional detection parameter information and the lubrication system state monitoring information are mapped to obtain a first detection result and a second detection result respectively;

[0034] The first detection result and the second detection result are fitted into the comprehensive lubrication detection result.

[0035] Furthermore, a lubrication detection database is established, including:

[0036] Preprocessing the collected historical lubrication system maintenance and repair information;

[0037] Classifying the preprocessed historical lubrication system maintenance and repair information according to tool magazine equipment feedback information and lubrication system feedback information, wherein the tool magazine equipment feedback information and lubrication system feedback information correspond to maintenance and repair results respectively;

[0038] The tool magazine equipment feedback information includes several historical single detection parameters for detecting the key lubrication position and historical multi-dimensional detection parameter information of interactively combining the historical single detection parameters;

[0039] A data index entry is generated based on the multi-dimensional detection parameter information, the lubrication system status monitoring information, and the lubrication comprehensive detection result for the tool magazine lubrication detection model to call.

[0040] Furthermore, the performance parameters of the lubrication system are monitored, and the lubrication system status monitoring information is obtained, including:

[0041] Real-time monitoring of key performance parameters of the lubrication system, wherein the key performance parameters include physical properties and chemical properties;

[0042] Intermittently monitoring the oil path of the lubrication system according to the mechanical cycle to obtain physical performance status monitoring information;

[0043] The oil storage part of the lubrication system is intermittently detected according to the mechanical cycle to obtain chemical performance status monitoring information, wherein the mechanical cycle is the oil storage amount of the lubrication system according to the oil path circulation cycle.

[0044] A multi-point parameter comprehensive detection method and system for a storage tool magazine lubrication system, the system comprising:

[0045] A key position determination module determines the tool magazine type and mechanical operation mode of the storage tool magazine, and determines the key lubrication position according to the tool magazine type and mechanical operation mode;

[0046] A detection parameter acquisition module is used to set a plurality of parameters to be detected that affect the lubrication degree according to the key lubrication position, and detect the key lubrication position according to the parameters to be detected to obtain a plurality of single detection parameters of each key lubrication position;

[0047] A multi-dimensional information combination module interactively combines a plurality of the single detection parameters of each of the key lubrication positions to generate multi-dimensional detection parameter information;

[0048] The status monitoring information module monitors the performance parameters of the lubrication system and obtains the status monitoring information of the lubrication system;

[0049] The lubrication comprehensive detection module establishes a tool magazine lubrication detection model, inputs the multi-dimensional detection parameter information and the lubrication system status monitoring information into the tool magazine lubrication detection model, and obtains a lubrication comprehensive detection result.

[0050] Furthermore, the multi-dimensional information combination module includes:

[0051] An information sorting unit, which sorts the acquired single detection parameter information;

[0052] A parameter combining unit, which combines the obtained single detection parameters through analysis and processing to form the multi-dimensional detection parameter information;

[0053] The data matching unit combines the generated multi-dimensional detection parameter information with relevant production processes and techniques.

[0054] The technical solution of the present invention can achieve the following technical effects:

[0055] It effectively solves the problems that the existing lubrication system adopts a simple timed or quantitative lubrication method, ignores the changes in lubrication demand caused by differences in tool magazine types and mechanical operation modes, cannot optimize lubrication efficiency, and lacks detection of multiple mechanical motion parameters of the storage tool magazine to verify the oil supply condition of the lubrication system.

[0056] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0058] Figure 1 It is a flow chart of a multi-point parameter comprehensive detection method for a storage tool magazine lubrication system;

[0059] Figure 2 Determine process flow diagrams for key lubrication locations;

[0060] Figure 3 It is a schematic diagram of the composition of multi-dimensional detection parameter information;

[0061] Figure 4This is a flow chart of lubrication comprehensive test results;

[0062] Figure 5 Schematic diagram of the structure for obtaining lubrication system status monitoring information. DETAILED DESCRIPTION

[0063] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0064] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0065] Embodiment 1

[0066] like Figure 1 As shown, the present application provides a multi-point parameter comprehensive detection method for a storage tool magazine lubrication system, the method comprising:

[0067] S10: Determine the tool magazine type and mechanical operation mode of the storage tool magazine, and determine the key lubrication position according to the tool magazine type and mechanical operation mode;

[0068] S20: setting a plurality of parameters to be inspected that affect lubrication according to the key lubrication positions, and inspecting the key lubrication positions respectively according to the parameters to be inspected to obtain a plurality of single inspection parameters for each key lubrication position;

[0069] S30: interactively combining a plurality of single detection parameters of each key lubrication position to generate multi-dimensional detection parameter information;

[0070] S40: monitoring the performance parameters of the lubrication system and obtaining lubrication system status monitoring information;

[0071] S50: Establish a tool magazine lubrication detection model, input multi-dimensional detection parameter information and lubrication system status monitoring information into the tool magazine lubrication detection model, and obtain a comprehensive lubrication detection result.

[0072] Specifically, we first analyze in detail the specific types of storage tool magazines, such as disc type, chain type, linear type, etc., as well as the main mechanical operation modes of the tool magazine system, such as the rotation of the tool changing arm, the linear motion of the moving track, etc. Based on the above information, we determine the key lubrication positions, and for each key lubrication position, set corresponding sensors according to its operating motion characteristics. The sensors are responsible for detecting multiple parameters that affect lubrication, such as temperature, pressure, vibration, oil film thickness, etc., and can collect the data of the parameters to be tested at the key lubrication positions in real time by configuring the sensor network. Using data processing and analysis technology, we interactively combine and comprehensively analyze the single detection parameters, and generate multi-dimensional detection parameter information by analyzing the correlation between the parameters and their impact on the health of the lubrication system. It reflects the actual condition of the lubrication system. At the same time, it is also necessary to monitor the performance parameters of the lubrication system in real time. Monitoring the performance parameters can help understand the real-time status of the lubrication system and promptly discover possible problems. Based on the multi-dimensional detection parameter information and lubrication system status monitoring information collected above, a tool magazine lubrication detection model is constructed. Through continuous learning and optimization, the accuracy of lubrication system performance evaluation is improved. The collected information is input into the model to obtain comprehensive lubrication detection results, including the health status of the lubrication system, lubrication efficiency evaluation, and maintenance recommendations based on the current lubrication status. Through the implementation of the above steps, multi-point parameter comprehensive detection of the storage tool magazine lubrication system can be achieved, providing a strong guarantee for the efficient and stable operation of machine tools.

[0073] The technical solution of the present invention effectively solves the problem that the existing lubrication system adopts a simple timed or quantitative lubrication method, ignores the changes in lubrication requirements caused by differences in tool magazine types and mechanical operating modes, and cannot achieve the optimization of lubrication efficiency, as well as lacks detection of multiple mechanical motion parameters of the storage tool magazine to verify the oil supply condition of the lubrication system.

[0074] Further, if Figure 2 As shown, determine the tool magazine type and mechanical operation mode of the storage tool magazine, and determine the key lubrication positions based on the tool magazine type and mechanical operation mode, including:

[0075] Determine the operation motion characteristics of each mechanical component according to the tool magazine type and mechanical operation mode, and evaluate the motion frequency and motion load of each mechanical component according to the operation motion characteristics;

[0076] Identify the lubrication requirements of each mechanical component based on motion frequency and motion load, and determine the key lubrication locations;

[0077] Set monitoring points at key lubrication locations to track the lubrication status of key lubrication locations.

[0078] As a preferred embodiment of the above, based on the type of tool magazine and the mechanical operation mode, the operation motion characteristics of each mechanical component such as transmission chain, bearing, gear, guide rail, etc., such as motion trajectory, speed change, acceleration, etc., are deeply analyzed, and the motion frequency and motion load of each mechanical component are evaluated by using the acquired operation motion characteristic data, wherein the motion frequency refers to the number of times or cycles that the component completes the motion in unit time, and the motion load reflects the force or torque size that the component bears during the motion process. These two indicators are important bases for judging the lubrication needs of the components. According to the evaluated motion frequency and motion load, combined with factors such as the material, size, and working environment of the components, the lubrication requirements of each machine are identified. The lubrication needs of mechanical parts, parts with high movement frequency, large movement load and harsh working environment often have more urgent needs for lubrication. On this basis, determine which positions are key lubrication positions. These positions often directly affect the overall performance and life of the tool magazine. Set corresponding monitoring points for the determined key lubrication positions. The monitoring points can be monitored in real time or regularly by means of sensors, visual inspection equipment, etc. The monitoring content mainly includes parameters such as lubricating oil supply, oil quality, oil temperature, oil pressure, as well as component wear, temperature distribution, etc. By continuously tracking the data changes of the monitoring points, lubrication problems can be discovered and solved in time to ensure the normal operation of the storage tool magazine.

[0079] Specifically, a plurality of parameters to be tested that affect lubrication are set according to the key lubrication positions, and the key lubrication positions are tested respectively according to the parameters to be tested to obtain a plurality of single test parameters of each key lubrication position; including:

[0080] Sensors are set according to the operating motion characteristics of key lubrication positions, and the sensors correspond to multiple parameters to be tested that affect lubrication;

[0081] Build a sensor configuration network to configure the parameters to be tested required by the sensors set at each key lubrication location;

[0082] The configured sensors are used to detect key lubrication positions and obtain corresponding single detection parameters.

[0083] As a preferred embodiment of the above, after determining the key lubrication positions of the storage tool magazine, in order to comprehensively evaluate the lubrication status of the positions, multiple parameter items to be tested that affect the lubrication degree are set according to the operating motion characteristics of each key lubrication position. They can directly or indirectly reflect the performance and health status of the lubrication system. For each parameter item to be tested, a suitable sensor is selected for installation. For example, for temperature parameters, a thermistor or thermocouple sensor can be selected; for pressure parameters, a pressure sensor can be selected; for vibration parameters, an acceleration sensor can be selected, etc. The installation position of the sensor should ensure that the relevant parameters of the key lubrication position can be accurately measured. Of course, a multifunctional sensor can also be set The sensor synchronously collects multiple parameter items of the same key lubrication position and builds a sensor configuration network, which is used to uniformly manage and configure the sensors installed at each key lubrication position. Through this network, the detection parameter items, detection range, sampling frequency and other parameters of each sensor can be set to ensure that the sensor can detect according to the preset requirements. In the sensor configuration network, each sensor is specifically configured so that it can detect the corresponding parameter items to be tested. After the configuration is completed, the sensor configuration runs and starts to collect and transmit data in real time. Through the configured sensor network, several single detection parameters of each key lubrication position can be obtained.

[0084] Furthermore, a sensor configuration network is constructed to configure the parameters to be tested required by the sensors set at each key lubrication position, including:

[0085] The sensor corresponds to at least two key lubrication positions, and all key lubrication positions are sorted according to the motion frequency and the motion load to obtain the lubrication position sorting result;

[0086] The lubrication position sorting result is divided according to the number of sensors set, and a number of lubrication motion segment sequences are obtained, and each sensor corresponds to the lubrication motion segment sequence, and a number of single detection parameters are collected for the lubrication segment sequence;

[0087] Obtain the real-time position information of the key lubrication position in each lubrication motion segment sequence corresponding to the storage tool magazine;

[0088] A sensor configuration network is constructed to integrate the real-time position information in each lubrication motion segment sequence, and the integrated results are sent to the corresponding sensors. The sensors collect several single detection parameters at key lubrication positions according to the real-time position information in the lubrication motion segment sequence.

[0089] As a preferred embodiment of the above, all key lubrication positions are determined according to the actual layout of the storage tool magazine and the mechanical operation mode, and the key lubrication positions are sorted according to the movement frequency and movement load of each key lubrication position to generate a lubrication position sorting result. The lubrication position sorting result is divided according to the number of installed sensors to form a number of lubrication motion segment sequences. The number of key lubrication positions in each segment sequence should match the number of sensors to ensure that each sensor can be responsible for the monitoring task of the key lubrication positions and that each sensor can physically cover all key positions in its corresponding lubrication motion segment sequence. For each lubrication motion segment sequence, a corresponding sensor is configured to collect a number of single detection parameters of the key lubrication positions in the segment sequence. The sensor should be set to automatically collect data at a preset time interval, or trigger data collection according to changes in system status. In order to more accurately control the data collection process of the sensor, it is necessary to obtain real-time information about each lubrication motion. The position information of the key lubrication position in the dynamic segment sequence in the storage tool magazine is obtained by using the motion control data of the tool magazine through the storage tool magazine control system. The real-time and accuracy of the position information should be ensured so that the sensor can adjust its data acquisition strategy in time. A sensor configuration network is constructed according to the position of the sensor to integrate the real-time position information and sensor collected data in each lubrication motion segment sequence. The network should have data processing and communication capabilities, and can accurately send real-time position information to the corresponding sensor and receive the detection data sent back by the sensor. At the same time, the network should also perform preliminary processing and analysis of the data for subsequent more in-depth evaluation and maintenance decisions. After receiving the real-time position information from the sensor configuration network, the sensor will adjust its own data acquisition strategy according to its content. The sensor will collect data for the key lubrication position currently within its monitoring range to ensure that accurate detection parameters are obtained at the right time and location.

[0090] Further, if Figure 3 As shown, several single detection parameters of each key lubrication position are interactively combined to generate multi-dimensional detection parameter information, including:

[0091] Determine the individual test parameters of each key lubrication position, and analyze the correlation between the individual test parameters and their impact on the health of the lubrication system;

[0092] Adopt data fusion technology and analyze the dependency between individual detection parameters according to the correlation between them and the health impact on the lubrication system, and interactively combine several individual detection parameters to generate several composite feedback information affecting the lubrication system;

[0093] Several composite feedback information of the same key lubrication position are integrated to obtain multi-dimensional detection parameter information.

[0094] As a preferred embodiment of the above embodiment, first, for each key lubrication position, all its single detection parameters, such as temperature, pressure, vibration frequency, oil film thickness, etc., are clarified. After determining the correlation between the single detection parameters, the influence of each parameter on the overall health status of the lubrication system is further evaluated. Based on the correlation between the single detection parameters and the impact on the health of the lubrication system, data fusion technology such as fuzzy logic, neural network, Bayesian network, etc. is used to process these data. The correlation between these single detection parameters may be positively correlated, negatively correlated or not significantly correlated. They jointly reflect different aspects of the performance of the lubrication system. The fusion technology can comprehensively consider the information of multiple parameters and generate composite feedback information based on the dependency relationship between them. These composite feedback information not only contains the information of a single parameter, but also incorporates the interaction and influence between multiple parameters. For the same key lubrication position, multiple composite feedback information is integrated, and the integrated result is the multi-dimensional detection parameter information of the key lubrication position. This information not only contains the detailed data of a single parameter, but also reflects the comprehensive effect between multiple parameters, providing a more comprehensive basis for subsequent lubrication system performance evaluation and fault diagnosis.

[0095] Further, if Figure 4 As shown in the figure, the multi-dimensional detection parameter information and the lubrication system status monitoring information are input into the tool magazine lubrication detection model to obtain the comprehensive lubrication detection results, including:

[0096] Establish a lubrication detection database to collect historical lubrication system maintenance and repair information, and store and manage the historical lubrication system maintenance and repair information through the lubrication detection database;

[0097] Conduct deep learning on the lubrication detection database and establish a tool magazine lubrication detection model based on the deep learning results;

[0098] According to the lubrication detection database and the deep learning results, the multi-dimensional detection parameter information and the lubrication system status monitoring information are mapped to obtain a first detection result and a second detection result respectively;

[0099] The first detection result and the second detection result are fitted into a comprehensive lubrication detection result.

[0100] As a preferred embodiment of the above, it is necessary to build a lubrication detection database specifically used to store and manage the maintenance and repair information of the historical lubrication system, including lubrication records, fault cases, maintenance measures and effect evaluations under different tool magazine types and mechanical operation modes. The database is regularly updated and maintained to ensure the accuracy and timeliness of the data. Deep learning is used to mine and analyze the historical data in the lubrication detection database. By building a model, feature extraction and pattern recognition are performed on the maintenance and repair information in the database to discover the complex relationship between the performance of the lubrication system and various parameters. Based on the results of deep learning, a tool magazine lubrication detection model is built or optimized. The model should be able to detect parameter information and lubrication in multiple dimensions. The system status monitoring information is taken as input, and the corresponding test results are output through internal algorithm processing. This information is mapped, and the single detection parameters of each key lubrication position and the status monitoring information of the overall system are converted into feature vectors or data formats that can be recognized by the model. The multi-dimensional detection parameter information and the lubrication system status monitoring information are independently processed and analyzed to obtain the first test result and the second test result. The two results are fitted through the algorithm, and the fitted result is output as the comprehensive lubrication test result. The result should include a comprehensive assessment of the current state of the lubrication system, including whether there is an abnormality, the specific location and degree of the abnormality, the possible cause of the failure and the recommended maintenance measures.

[0101] Furthermore, a lubrication detection database is established, including:

[0102] Pre-process the collected historical lubrication system maintenance and repair information;

[0103] The pre-processed historical lubrication system maintenance and repair information is classified according to the tool magazine equipment feedback information and the lubrication system feedback information, and the tool magazine equipment feedback information and the lubrication system feedback information correspond to the maintenance and repair results respectively;

[0104] Among them, the tool magazine equipment feedback information includes several historical single detection parameters for detecting key lubrication positions and historical multi-dimensional detection parameter information of interactive combinations of historical single detection parameters;

[0105] A data index entry is generated based on multi-dimensional detection parameter information, lubrication system status monitoring information, and lubrication comprehensive detection results for the tool magazine lubrication detection model to call.

[0106] As a preferred embodiment of the above embodiment, maintenance and repair information is collected from the maintenance records of each historical lubrication system, and the collected data is preprocessed, which may include data cleaning, data formatting and data standardization, etc. The preprocessed maintenance and repair information is classified according to the tool magazine equipment feedback information and the lubrication system feedback information. The classified data should clearly identify the corresponding maintenance and repair results for subsequent analysis and modeling. The historical single detection parameters are interactively combined to generate historical multi-dimensional detection parameter information. These multi-dimensional detection parameter information can more comprehensively describe the status of the lubrication system and provide rich data support for subsequent modeling. According to the multi-dimensional detection parameter information, the lubrication system status monitoring information and the comprehensive lubrication detection results, a data index entry is generated. The data index entry may include an index table, a query statement or other forms of data access interface to ensure that the model can quickly access relevant historical data and detection results when needed.

[0107] Further, if Figure 5 As shown, the performance parameters of the lubrication system are monitored and the lubrication system status monitoring information is obtained, including:

[0108] Real-time monitoring of key performance parameters of the lubrication system, including physical and chemical properties;

[0109] The oil path of the lubrication system is monitored intermittently according to the mechanical cycle to obtain physical performance status monitoring information;

[0110] The oil storage part of the lubrication system is intermittently detected according to the mechanical cycle to obtain chemical performance status monitoring information, wherein the mechanical cycle is the oil storage amount of the lubrication system according to the oil path circulation cycle.

[0111] As a preferred embodiment of the above embodiment, according to the constructed sensor network, key parts of the lubrication system, such as rails, motors, bearings, etc., are covered to monitor the physical performance parameters and chemical performance parameters of these parts in real time. These parameters can directly reflect the working status and efficiency of the lubrication system. Through the data acquisition system, the data transmitted by the sensor is collected in real time to ensure the accuracy and integrity of the data. According to the mechanical operation cycle, such as the number of working hours, the number of processed parts, etc., a monitoring plan for the oil path is set. In each monitoring cycle, the oil path is intermittently monitored to obtain physical performance status monitoring information. The monitoring content may include temperature, vibration, flow stability, pressure distribution, etc. The physical performance status of the oil path is obtained by comparing historical data with standard values; also based on the mechanical cycle, an intermittent detection plan for the oil storage and delivery part of the lubrication system is set. In each detection cycle, the lubricating oil in the oil storage and delivery part is sampled and analyzed to obtain chemical performance status monitoring information. The chemical performance status monitoring may include indicators such as the viscosity, acid value, moisture content, and metal abrasive content of the lubricating oil. The sampled oil is subjected to detailed chemical analysis through analysis to evaluate the quality and service life of the lubricating oil.

[0112] Embodiment 2

[0113] Based on the same inventive concept as the multi-point parameter comprehensive detection method of a storage tool magazine lubrication system in the aforementioned embodiment, the present invention also provides a multi-point parameter comprehensive detection system of a storage tool magazine lubrication system, the system comprising:

[0114] The key position determination module determines the tool magazine type and mechanical operation mode of the storage tool magazine, and determines the key lubrication position according to the tool magazine type and mechanical operation mode;

[0115] The detection parameter acquisition module sets a plurality of parameters to be detected that affect the lubrication degree according to the key lubrication positions, and detects the key lubrication positions respectively according to the parameters to be detected to obtain a plurality of single detection parameters of each key lubrication position;

[0116] The multi-dimensional information combination module interactively combines several single detection parameters of each key lubrication position to generate multi-dimensional detection parameter information;

[0117] The status monitoring information module monitors the performance parameters of the lubrication system and obtains the status monitoring information of the lubrication system;

[0118] The lubrication comprehensive detection module establishes a tool magazine lubrication detection model, inputs multi-dimensional detection parameter information and lubrication system status monitoring information into the tool magazine lubrication detection model, and obtains the lubrication comprehensive detection results.

[0119] The above-mentioned adjustment system in the present invention can effectively realize the multi-point parameter comprehensive detection method of the storage tool magazine lubrication system, and the technical effect that can be achieved is as described in the above-mentioned embodiment, which will not be repeated here.

[0120] Specifically, the multi-dimensional information combination module includes:

[0121] An information sorting unit, which sorts the acquired information of several single detection parameters;

[0122] A parameter combination unit combines the acquired single detection parameters through analysis and processing to form multi-dimensional detection parameter information;

[0123] The data matching unit combines the generated multi-dimensional detection parameter information with relevant production processes and techniques.

[0124] Similarly, the above-mentioned optimization schemes for the system can also respectively achieve the optimization effects corresponding to the method in Example 1, which will not be repeated here.

[0125] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application as defined therein, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A comprehensive multi-point parameter detection method for a storage tool magazine lubrication system, characterized in that: The method comprises: Determine the tool magazine type and mechanical operation mode of the storage tool magazine, and determine the key lubrication position according to the tool magazine type and mechanical operation mode; According to the key lubrication positions, a plurality of parameters to be detected that affect the lubrication degree are set, and the key lubrication positions are respectively detected according to the parameters to be detected to obtain a plurality of single detection parameters of each key lubrication position; Interactively combining the single detection parameters of each key lubrication position to generate multi-dimensional detection parameter information, including: Determine the individual detection parameters of each of the key lubrication positions, and analyze the correlation between the individual detection parameters and their impact on the health of the lubrication system; Adopting data fusion technology and analyzing the dependency between the individual detection parameters according to the correlation between the individual detection parameters and the health impact on the lubrication system, and interactively combining several individual detection parameters to generate several composite feedback information affecting the lubrication system; Integrate a plurality of the composite feedback information of the same key lubrication position to obtain multi-dimensional detection parameter information; Monitor the performance parameters of the lubrication system and obtain lubrication system status monitoring information; A tool magazine lubrication detection model is established, and the multi-dimensional detection parameter information and lubrication system status monitoring information are input into the tool magazine lubrication detection model to obtain a comprehensive lubrication detection result.

2. The multi-point parameter comprehensive detection method of the storage tool magazine lubrication system according to claim 1 is characterized in that: Determine the tool magazine type and mechanical operation mode of the storage tool magazine, and determine the key lubrication positions based on the tool magazine type and mechanical operation mode, including: Determine the operation motion characteristics of each mechanical component according to the tool magazine type and the mechanical operation mode, and evaluate the motion frequency and motion load of each mechanical component according to the operation motion characteristics; Identify the lubrication requirements of each mechanical component according to the motion frequency and motion load, and determine the key lubrication position; Monitoring points are set for the key lubrication positions to track the lubrication status of the key lubrication positions.

3. The multi-point parameter comprehensive detection method of the storage tool magazine lubrication system according to claim 2 is characterized in that: According to the key lubrication position, a plurality of parameters to be detected that affect the lubrication degree are set, and the key lubrication position is detected respectively according to the parameters to be detected to obtain a plurality of single detection parameters of each key lubrication position; including: A sensor is set according to the operation motion characteristics of the key lubrication position, and the sensor corresponds to a plurality of parameters to be tested that affect the lubrication degree; Constructing a sensor configuration network to configure the parameters to be tested required by the sensors arranged at each of the key lubrication positions; The key lubrication position is detected by the configured sensor, and a number of corresponding single detection parameters are obtained.

4. The multi-point parameter comprehensive detection method of the storage tool magazine lubrication system according to claim 3 is characterized in that: A sensor configuration network is constructed to configure the parameters to be tested required by the sensors set at each of the key lubrication positions, including: The sensor corresponds to at least two of the key lubrication positions, and all the key lubrication positions are sorted according to the motion frequency and the motion load to obtain a lubrication position sorting result; The lubrication position sorting result is divided according to the number of sensors set to obtain a plurality of lubrication motion segment sequences, each of the sensors corresponds to the lubrication motion segment sequence, and a plurality of single detection parameters are collected for the lubrication motion segment sequence; Acquire the real-time position information of the key lubrication position in each lubrication motion segment sequence corresponding to the storage tool magazine; A sensor configuration network is constructed to integrate the real-time position information in each lubrication motion segment sequence, and the integrated results are sent to the corresponding sensors. The sensors collect several single detection parameters at the key lubrication positions according to the real-time position information in the lubrication motion segment sequence.

5. The multi-point parameter comprehensive detection method of the storage tool magazine lubrication system according to claim 1 is characterized in that: Inputting the multi-dimensional detection parameter information and the lubrication system status monitoring information into the tool magazine lubrication detection model to obtain a comprehensive lubrication detection result, including: Establishing a lubrication detection database, collecting historical lubrication system maintenance and repair information, and storing and managing the historical lubrication system maintenance and repair information through the lubrication detection database; Performing deep learning on the lubrication detection database, and establishing a tool magazine lubrication detection model based on the deep learning results; According to the lubrication detection database and the deep learning result, the multi-dimensional detection parameter information and the lubrication system state monitoring information are mapped to obtain a first detection result and a second detection result respectively; The first detection result and the second detection result are fitted into the comprehensive lubrication detection result.

6. The multi-point parameter comprehensive detection method of the storage tool magazine lubrication system according to claim 5 is characterized in that: Establish a lubrication detection database, including: Preprocessing the collected historical lubrication system maintenance and repair information; Classifying the preprocessed historical lubrication system maintenance and repair information according to tool magazine equipment feedback information and lubrication system feedback information, wherein the tool magazine equipment feedback information and lubrication system feedback information correspond to maintenance and repair results respectively; The tool magazine equipment feedback information includes several historical single detection parameters for detecting the key lubrication position and historical multi-dimensional detection parameter information of interactively combining the historical single detection parameters; A data index entry is generated based on the multi-dimensional detection parameter information, the lubrication system status monitoring information, and the lubrication comprehensive detection result for the tool magazine lubrication detection model to call.

7. The multi-point parameter comprehensive detection method of the storage tool magazine lubrication system according to claim 1 is characterized in that: Monitor the performance parameters of the lubrication system and obtain lubrication system status monitoring information, including: Real-time monitoring of key performance parameters of the lubrication system, wherein the key performance parameters include physical properties and chemical properties; Intermittently monitoring the oil path of the lubrication system according to the mechanical cycle to obtain physical performance status monitoring information; The oil storage part of the lubrication system is intermittently detected according to the mechanical cycle to obtain chemical performance status monitoring information, wherein the mechanical cycle is the oil storage amount of the lubrication system according to the oil path circulation cycle.

8. The multi-point parameter comprehensive detection system of the storage tool magazine lubrication system is characterized by: The multi-point parameter comprehensive detection method of the storage lubrication system according to claim 1 is adopted, and the system comprises: A key position determination module determines the tool magazine type and mechanical operation mode of the storage tool magazine, and determines the key lubrication position according to the tool magazine type and mechanical operation mode; A detection parameter acquisition module is used to set a plurality of parameters to be detected that affect the lubrication degree according to the key lubrication position, and detect the key lubrication position according to the parameters to be detected to obtain a plurality of single detection parameters of each key lubrication position; A multi-dimensional information combination module interactively combines a plurality of the single detection parameters of each of the key lubrication positions to generate multi-dimensional detection parameter information; The status monitoring information module monitors the performance parameters of the lubrication system and obtains the status monitoring information of the lubrication system; The lubrication comprehensive detection module establishes a tool magazine lubrication detection model, inputs the multi-dimensional detection parameter information and the lubrication system status monitoring information into the tool magazine lubrication detection model, and obtains a lubrication comprehensive detection result.

9. The multi-point parameter comprehensive detection system of the storage tool magazine lubrication system according to claim 8 is characterized in that: The multi-dimensional information combination module comprises: An information sorting unit, which sorts the acquired single detection parameter information; A parameter combining unit, which combines the obtained single detection parameters through analysis and processing to form the multi-dimensional detection parameter information; The data matching unit combines the generated multi-dimensional detection parameter information with relevant production processes and techniques.

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