Iron passing phenomenon detection system and method based on equipment digital communication platform

Abstract

The invention provides an iron passing phenomenon detection system and method based on an equipment digital communication platform, and belongs to the technical field of mechanical equipment monitoring. Equipment parameter information detected by a mechanical equipment detection device is acquired, and the equipment parameter information is preprocessed, analyzed and subjected to feature extraction; extracting a machine learning model to analyze the characteristic parameters, and judging whether the mechanical equipment has an iron passing phenomenon or not; when the iron passing phenomenon is analyzed, early warning information is generated, and alarm prompting is carried out; the mechanical data processing device is in communication connection with the cloud server and sends the equipment parameter information and the iron passing phenomenon to the cloud server, and the cloud server displays the equipment parameter information and the iron passing phenomenon based on a user interface. Due to the real-time monitoring capability, the system can timely discover the iron passing phenomenon of the mechanical equipment, so that early warning information is generated and an alarm prompt is given. And the production safety is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of mechanical equipment monitoring, and in particular relates to a system and method for detecting iron-passing phenomenon based on a digital communication platform of equipment. Background Art

[0002] In industrial production, the normal operation of mechanical equipment is crucial to ensuring production efficiency and product quality. Iron overload refers to the phenomenon that during the operation of the equipment, foreign metal objects (such as shovel teeth, steel bars, iron filings, screws, etc.) enter the interior of the equipment or between moving parts, causing abnormal wear, jamming, or even damage to the equipment. This phenomenon is also called iron overload. Iron overload will not only seriously affect the working performance of the equipment and increase maintenance costs, but may also cause safety hazards.

[0003] The existing technology of iron-passing detection is mainly monitored by cameras and regularly inspected and maintained, which has problems such as untimely detection and low efficiency. Summary of the invention

[0004] The present invention provides a system for detecting iron-passing phenomenon based on a digital communication platform of equipment, which realizes detection and alarm of iron-passing phenomenon by real-time collection and analysis of equipment operation data, thereby improving the safety and stability of mechanical equipment operation.

[0005] The system includes: a mechanical equipment detection device, a mechanical data processing device and a cloud server; The mechanical data processing device is respectively connected to each mechanical equipment detection device in communication, obtains the equipment parameter information detected by the mechanical equipment detection device, pre-processes the equipment parameter information, and performs analysis and feature extraction, extracts a machine learning model to analyze the feature parameters, and determines whether the mechanical equipment has an iron phenomenon; After analyzing the iron-over phenomenon, early warning information is generated and an alarm is given; The mechanical data processing device communicates with the cloud server to send the equipment parameter information and the iron-overflowing phenomenon to the cloud server, and the cloud server displays the equipment parameter information and the iron-overflowing phenomenon based on the user interface.

[0006] It is further necessary to explain that the mechanical data processing device is configured with a plurality of devices to detect the interactive process; Retrieve the first device detection interaction process, configure a first iron-crossing detection instruction under the first device detection interaction process, and send the first iron-crossing detection instruction instruction to the mechanical device detection device based on the first device detection interaction process; After receiving the first iron-crossing detection instruction, the mechanical equipment detection device returns equipment parameter information.

[0007] It should be further explained that, within a preset time period after the first iron-crossing detection instruction is issued, if the mechanical data processing device receives the equipment parameter information returned by the mechanical equipment detection device in the first equipment detection interaction process in response to the first iron-crossing detection instruction, the mechanical data processing device determines that the first detection process is completed with the mechanical equipment detection device; If no return information is received after the first iron-passing detection instruction is issued within the preset time, the mechanical data processing device matches the second iron-passing detection instruction through the second equipment detection interaction process, interacts with the mechanical equipment detection device, and obtains the equipment parameter information returned by the mechanical equipment detection device that supports the second equipment detection interaction process.

[0008] It should be further explained that, within the detection time period, the mechanical data processing device determines whether the equipment parameter information fed back by all mechanical equipment detection devices is received. If all are received, the detection process of the current detection time period is completed.

[0009] It should be further explained that the mechanical data processing device allocates the mechanical equipment detection devices that support the same equipment detection interaction process among the multiple mechanical equipment detection devices to the same iron-crossing detection set according to the equipment detection interaction processes supported by the multiple mechanical equipment detection devices respectively; The mechanical data processing device performs data interaction with multiple iron-passing detection sets based on multiple equipment detection interaction processes.

[0010] It should be further explained that when the mechanical data processing device uses the iron-crossing detection communication protocol matched by the iron-crossing detection set, the device detection interaction process corresponding to the iron-crossing detection set performs data transmission with the iron-crossing detection set; At least one mechanical equipment detection device matches the first iron detection communication protocol; The mechanical data processing device sends a first detection cycle detection instruction generated in the current detection time period to at least one mechanical equipment detection device to receive first equipment parameter information detected and returned by at least one mechanical equipment detection device based on the first detection cycle detection instruction.

[0011] According to another embodiment of the present application, a method for detecting iron-crossing phenomenon based on a device digital communication platform is provided, the method comprising: The mechanical data processing device obtains the equipment parameter information detected by the mechanical equipment detection device, pre-processes the equipment parameter information, and performs analysis and feature extraction, extracts a machine learning model to analyze the feature parameters, and determines whether the mechanical equipment has an iron phenomenon; After analyzing the iron-over phenomenon, early warning information is generated and an alarm is given; The mechanical data processing device sends the equipment parameter information and the iron-overflowing phenomenon to the cloud server, and the cloud server displays the equipment parameter information and the iron-overflowing phenomenon based on the user interface.

[0012] It should be further explained that the mechanical data processing device obtains the equipment parameter information of the mechanical equipment through the mechanical equipment detection device, and extracts a plurality of iron-crossing detection parameters from the equipment parameter information; Constructing a set of iron-crossing detection instructions, and extracting device parameter information corresponding to each iron-crossing detection instruction in the set of iron-crossing detection instructions based on multiple iron-crossing detection parameters; Performing cluster analysis based on multiple device parameter information, and determining a first iron-crossing detection state feature according to the cluster analysis result; Extracting a set of associated iron-crossing detection parameters for each iron-crossing detection instruction under a first iron-crossing detection state feature from a plurality of iron-crossing detection parameters, and constructing an iron-crossing detection module corresponding to each iron-crossing detection instruction in a mechanical data processing device; Obtain equipment parameter information of the mechanical equipment, extract the target-associated iron-crossing detection parameters and target iron-crossing detection time point of the target iron-crossing detection instruction from the equipment parameter information, input them into the iron-crossing detection module corresponding to the target iron-crossing detection instruction to perform iron-crossing detection, and generate equipment parameter information corresponding to the target iron-crossing detection instruction.

[0013] It should be further explained that, in the method, the target iron-crossing detection time point is matched with the first iron-crossing detection state feature and the second iron-crossing detection state feature set in the iron-crossing detection module corresponding to the target iron-crossing detection instruction, and the following operations are performed according to the matching results: If the first iron-passing detection state characteristic matches the second iron-passing detection state characteristic, it is defined that there is no iron-passing; if the first iron-passing detection state characteristic does not match the second iron-passing detection state characteristic, it is defined that there is iron-passing, and an iron-passing warning signal is issued.

[0014] It should be further explained that the method also includes: The mechanical data processing device determines the parameter type in the equipment parameter information when acquiring the equipment parameter information; Define a unique device parameter identifier for each parameter type in the device parameter information; Set the corresponding detection method for each parameter type; the detection method can include: Detection based on vibration frequency: By setting the vibration frequency threshold, when the vibration frequency exceeds the vibration frequency threshold, the iron overload warning is triggered; Detection based on current change rate: When the equipment passes through iron, the current change rate is monitored to trigger an iron-passing warning; Detection based on temperature fluctuation: By setting the temperature fluctuation range, when the temperature exceeds the temperature threshold, the iron overload warning is triggered; Detection based on sound analysis: Confirm the iron phenomenon through voiceprint recognition technology.

[0015] It can be seen from the above technical solutions that the present invention has the following advantages: This application can monitor the key parameter information of the equipment such as vibration, temperature, current, sound and image in real time by installing a detection device on the mechanical equipment. This real-time monitoring capability enables the system to detect the iron-over phenomenon of the mechanical equipment in time, thereby generating early warning information and issuing alarm prompts to improve production safety.

[0016] The mechanical data processing device of the present application pre-processes the equipment parameter information obtained from the detection device and extracts features to screen out technical features for judging the iron phenomenon, thereby improving the accuracy of data analysis. In addition, by analyzing the extracted characteristic parameters using a machine learning model, it is possible to more accurately determine whether the mechanical equipment has an iron phenomenon. Improve the reliability of detection. The mechanical data processing device sends the equipment parameter information and the iron phenomenon to the cloud server to achieve centralized storage and management of data. The cloud server displays information through a user interface, allowing relevant personnel to view the operating status and fault conditions of the equipment anytime and anywhere. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0018] Figure 1 It is a schematic diagram of the iron-crossing phenomenon detection system based on the equipment digital communication platform; Figure 2 It is a flow chart of the method for detecting the iron-crossing phenomenon based on the digital communication platform of the equipment; Figure 3 The present invention is a flow chart of an embodiment of a method for detecting iron-overflowing phenomenon based on a digital communication platform of an equipment. DETAILED DESCRIPTION

[0019] The following will describe in detail the implementation of the iron phenomenon detection system based on the device digital communication platform. For the purpose of explanation rather than limitation, specific details such as specific system structures and technologies are proposed to facilitate a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details.

[0020] It should be understood that when used in the present specification, the term "includes" indicates the presence of the described features, integral bodies, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integral bodies, steps, operations, elements, components and / or their collections. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] See also Figure 1 The figure is a schematic diagram of a system for detecting iron-crossing phenomenon based on a digital communication platform for equipment in a specific embodiment. The system includes: a plurality of mechanical equipment detection devices, a mechanical data processing device and a cloud server.

[0023] The mechanical equipment detection device, the mechanical data processing device and the cloud server may include a wireless communication unit, a user input unit, an output unit, a memory, an interface unit and a processor, etc. However, it should be understood that it is not required to implement all the components shown. More or fewer components may be implemented instead. The elements of the mobile terminal will be described in detail below.

[0024] The user input unit can receive input digital or character information, and generate key signal input related to user settings and function control of the electronic device used to implement the vehicle positioning method in this embodiment, such as a touch screen, a keypad, a mouse, a trackpad, a touch pad, an indicator stick, one or more mouse buttons, a trackball, a joystick and other input devices.

[0025] The output unit may include a display device, an auxiliary lighting device, a tactile feedback device, etc. The output unit may include, but is not limited to, a liquid crystal display (LCD), an LED display, and a plasma display.

[0026] Wireless Internet access technology is supported between mechanical equipment detection devices, mechanical data processing devices and cloud servers, which may include wireless local area networks (Wi-Fi, WLAN, Wireless Local Area Networks), wireless broadband (Wibro), Worldwide Interoperability for Microwave Access (Wimax), High Speed ​​Downlink Packet Access (HSDPA, High Speed ​​Downlink Packet Access), etc.

[0027] The processor may be implemented using at least one of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a processor, a controller, a microcontroller, a microprocessor, and an electronic unit designed to perform the functions described herein, and in some cases, such an implementation may be implemented in a controller. For software implementation, implementations such as processes or functions may be implemented with separate software modules that allow execution of at least one function or operation. The software code may be implemented by a software application (or program) written in any appropriate programming language, and the software code may be stored in a memory and executed by a controller.

[0028] In this embodiment, the mechanical equipment detection device is installed on the on-site mechanical equipment to detect the equipment parameter information during the operation of the mechanical equipment; the equipment parameter information includes: vibration information, temperature information, current information, sound information and image information.

[0029] The mechanical data processing device of this embodiment is respectively connected to each mechanical equipment detection device in communication, obtains the equipment parameter information detected by the mechanical equipment detection device, pre-processes the equipment parameter information, and performs analysis and feature extraction, extracts a machine learning model to analyze the feature parameters, and determines whether the mechanical equipment has iron-over phenomenon. After analyzing the iron-over phenomenon, it generates early warning information and issues an alarm prompt.

[0030] The mechanical data processing device communicates with the cloud server to send the equipment parameter information and the iron-overflowing phenomenon to the cloud server, and the cloud server displays the equipment parameter information and the iron-overflowing phenomenon based on the user interface.

[0031] In some embodiments, by installing a detection device on the mechanical equipment, key parameter information such as vibration, temperature, current, sound and image of the equipment can be monitored in real time. This real-time monitoring capability enables the system to detect the iron-over phenomenon of the mechanical equipment in a timely manner, thereby generating early warning information and issuing an alarm prompt, thereby improving production safety.

[0032] In this embodiment, the mechanical data processing device pre-processes the equipment parameter information obtained from the detection device and extracts features to screen out technical features for judging the iron phenomenon, thereby improving the accuracy of data analysis. In addition, by using a machine learning model to analyze the extracted feature parameters, it is possible to more accurately determine whether the mechanical equipment has an iron phenomenon. Improve the reliability of detection. The mechanical data processing device sends the equipment parameter information and the iron phenomenon to the cloud server to achieve centralized storage and management of data. The cloud server displays this information through a user interface, allowing relevant personnel to view the operating status and fault conditions of the equipment anytime and anywhere.

[0033] In some embodiments, the mechanical data processing device is configured with multiple device detection interaction processes. The first device detection interaction process is called, and a first iron-crossing detection instruction is configured under the first device detection interaction process. The first iron-crossing detection instruction indicates that it is sent to the mechanical device detection device based on the first device detection interaction process. After receiving the first iron-crossing detection instruction, the mechanical device detection device returns device parameter information.

[0034] In some embodiments, the first iron crossing detection instruction has an instruction format required to meet the iron crossing detection and performs communication based on the first device detection interaction process.

[0035] Within a preset time period after the first iron-crossing detection instruction is issued, if the mechanical data processing device receives the equipment parameter information returned by the mechanical equipment detection device in the first equipment detection interaction process in response to the first iron-crossing detection instruction, the mechanical data processing device determines that the first detection process is completed with the mechanical equipment detection device.

[0036] If no return information is received after the first iron-passing detection instruction is issued within the preset time, the mechanical data processing device matches the second iron-passing detection instruction through the second equipment detection interaction process, interacts with the mechanical equipment detection device, and obtains the equipment parameter information returned by the mechanical equipment detection device that supports the second equipment detection interaction process.

[0037] The mechanical data processing device determines whether the equipment parameter information fed back by all mechanical equipment detection devices is received within the detection time period. If all are received, the detection process of the current detection time period is completed.

[0038] In some embodiments, the mechanical data processing device allocates the mechanical equipment detection devices that support the same equipment detection interaction process among the multiple mechanical equipment detection devices into the same iron-crossing detection set according to the equipment detection interaction processes respectively supported by the multiple mechanical equipment detection devices.

[0039] In some embodiments, the mechanical data processing device determines that the mechanical equipment detection device matches the corresponding detection interaction process based on the equipment detection interaction process used when receiving the matching equipment parameter information returned by the mechanical equipment detection device. If the mechanical data processing device receives the equipment parameter information returned by the mechanical equipment detection device under at least two equipment detection interaction processes, the mechanical data processing device determines that the mechanical equipment detection device matches at least two equipment detection interaction processes.

[0040] The mechanical data processing device of this embodiment determines whether the equipment parameter information of all mechanical equipment detection devices is received within the detection time period to ensure the integrity of the data, so that the detection process of the current detection time period can be completed more accurately. Avoid misjudgment or missed judgment due to missing data. By assigning mechanical equipment detection devices that support the same equipment detection interaction process to the same iron-crossing detection set, the mechanical data processing device can more effectively monitor mechanical equipment and optimize data transmission and processing procedures. The mechanical data processing device can determine the matching status of the mechanical equipment detection device based on the equipment detection interaction process used by the received equipment parameter information. Thereby adapting to mechanical equipment detection devices of different models and manufacturers.

[0041] In this embodiment, when the mechanical data processing device receives device parameter information under at least two device detection interaction processes, it can be determined that the mechanical device detection device matches at least two device detection interaction processes. The system can process device parameter information from a variety of different communication protocols or data formats, further improving the data processing capability and the stability of the system's monitoring of iron-crossing phenomena.

[0042] In some embodiments, the mechanical data processing device performs data interaction with multiple iron-crossing detection sets based on multiple device detection interaction processes.

[0043] In some embodiments, the mechanical data processing device can allocate the same matching iron crossing detection communication protocol in the iron crossing detection set to the corresponding iron crossing detection set according to the iron crossing detection communication protocol corresponding to each of the multiple device detection interaction processes.

[0044] The communication protocol adopted in this embodiment may include UDP transmission protocol or TCP protocol, which can ensure the reliability and accuracy of data transmission. In some embodiments, when the mechanical data processing device uses the iron crossing detection communication protocol matched with the iron crossing detection set, data is transmitted with the iron crossing detection set under the device detection interaction process corresponding to the iron crossing detection set.

[0045] For at least one mechanical equipment detection device in the iron crossing detection set, at least one mechanical equipment detection device matches the first iron crossing detection communication protocol, and the iron crossing detection set includes multiple mechanical equipment detection devices.

[0046] The mechanical data processing device sends a first detection cycle detection instruction generated in the current detection time period to at least one mechanical equipment detection device to receive first equipment parameter information detected and returned by at least one mechanical equipment detection device based on the first detection cycle detection instruction.

[0047] The following is an embodiment of a method for detecting the iron-passing phenomenon based on a digital communication platform of a device provided in an embodiment of the present disclosure. This method and the iron-passing phenomenon detection system of the above-mentioned embodiments belong to the same inventive concept. For details not described in detail in the embodiment of the method for detecting the iron-passing phenomenon, reference can be made to the embodiment of the above-mentioned system for detecting the iron-passing phenomenon.

[0048] S101: The mechanical data processing device obtains the equipment parameter information detected by the mechanical equipment detection device, pre-processes the equipment parameter information, and performs analysis and feature extraction, extracts a machine learning model to analyze the feature parameters, and determines whether the mechanical equipment has an iron phenomenon; S102: after analyzing the iron-over phenomenon, generating early warning information and giving an alarm prompt; S103: The mechanical data processing device sends the equipment parameter information and the iron-overflowing phenomenon to the cloud server, and the cloud server displays the equipment parameter information and the iron-overflowing phenomenon based on the user interface.

[0049] In some specific embodiments, the method of this embodiment further includes the following steps: When acquiring the equipment parameter information, the mechanical data processing device determines the parameter type in the equipment parameter information.

[0050] In some embodiments, a unique device parameter identifier is defined for each parameter type in the device parameter information so as to facilitate identification and detection in subsequent processes. The device parameter identifier may be represented by a string or other forms of identifiers.

[0051] In some embodiments, a corresponding detection method is set for each parameter type. The detection method may include: Detection based on vibration frequency: The iron overload phenomenon will cause the equipment vibration to intensify. By setting the vibration frequency threshold, an early warning will be triggered when the threshold is exceeded.

[0052] Detection based on the rate of change of current: When the equipment passes through iron, the current may suddenly increase. By monitoring the rate of change of current, abnormalities can be discovered in time.

[0053] Detection based on temperature fluctuation: The iron phenomenon will cause the local temperature to rise. By setting the temperature fluctuation range, the iron phenomenon can be effectively identified.

[0054] Detection based on sound analysis: The sound of the equipment will change when passing through iron. The phenomenon of passing through iron can be further confirmed through voiceprint recognition technology.

[0055] Furthermore, the mechanical data processing device of this embodiment can determine the source of the equipment parameter information, and communicate with the corresponding mechanical equipment detection device based on the equipment detection interaction process to obtain the equipment parameter information.

[0056] In one embodiment of the present invention, Figure 3 As shown, based on the method for detecting the iron excess phenomenon, a possible example will be given below to illustrate its specific implementation scheme in a non-limiting manner.

[0057] S210: The mechanical data processing device obtains equipment parameter information of the mechanical equipment through the mechanical equipment detection device, and extracts a plurality of iron-passing detection parameters from the equipment parameter information.

[0058] In some embodiments, the equipment parameter information of the mechanical equipment records the operating data of the mechanical equipment during its operation, extracts equipment parameter information representing the normal operation of the mechanical equipment from a large amount of equipment parameter information, and extracts vibration frequency information, current change rate, temperature fluctuation and sound information that change with time within a single detection time period from the equipment parameter information.

[0059] S220, constructing a set of iron-crossing detection instructions, and extracting device parameter information corresponding to each iron-crossing detection instruction in the set of iron-crossing detection instructions based on multiple iron-crossing detection parameters.

[0060] In some embodiments, a set of iron crossing detection instructions is used to record all iron crossing detection instructions recorded in multiple iron crossing detection parameters. For any iron crossing detection instruction, device parameter information used to characterize the frequency of occurrence of the iron crossing detection instruction at each iron crossing detection time point in a single detection time period is extracted from the multiple iron crossing detection parameters, and the detection time period is divided into multiple iron crossing detection time points.

[0061] In this embodiment, in addition to the mechanical equipment operation and iron-crossing detection parameters, the equipment parameter information is also configured with corresponding iron-crossing detection instructions. After receiving the equipment parameter information, the mechanical data processing device can match the corresponding iron-crossing detection instructions and the corresponding detection time period and iron-crossing detection time point.

[0062] Of course, there are also mechanical equipment detection devices that actively send equipment parameter information to the mechanical data processing device without receiving the iron-crossing detection instruction. This equipment parameter information is not configured with the iron-crossing detection instruction and the corresponding detection time period.

[0063] S230: Perform cluster analysis based on multiple device parameter information, and determine a first iron-crossing detection state feature according to the cluster analysis result.

[0064] In some embodiments, multiple iron crossing detection time points are classified based on a preset frequency, and cluster analysis is performed based on the classification results. Starting from the presence or absence of iron crossing detection instructions, all iron crossing detection time points with and without iron crossing detection instructions are clustered and analyzed into a cluster, and the iron crossing detection state characteristics of each cluster are extracted. The first iron crossing detection state characteristic of any iron crossing detection instruction represents the distribution time range of the iron crossing detection instruction in a single detection time period, and the second iron crossing detection state characteristic represents that the iron crossing detection parameters do not appear in the iron crossing state.

[0065] S240, extracting a set of associated iron-crossing detection parameters for each iron-crossing detection instruction under the first iron-crossing detection state feature from a plurality of iron-crossing detection parameters, and constructing an iron-crossing detection module corresponding to each iron-crossing detection instruction in a mechanical data processing device.

[0066] In some embodiments, the associated iron crossing detection parameter set of the iron crossing detection instruction under the first iron crossing detection state feature is used to record the iron crossing detection instructions that appear after the iron crossing detection instruction under the first iron crossing detection state feature.

[0067] S250, obtaining equipment parameter information of the mechanical equipment, extracting the target-associated iron-crossing detection parameters and target iron-crossing detection time point of the target iron-crossing detection instruction from the equipment parameter information, inputting them into the iron-crossing detection module corresponding to the target iron-crossing detection instruction to perform iron-crossing detection, and generating equipment parameter information corresponding to the target iron-crossing detection instruction.

[0068] In some embodiments, for equipment parameter information that requires iron crossing analysis, for example, a mechanical data processing device issues a target iron crossing detection instruction at a certain point in time, the target iron crossing detection time point representing the time information and the target-associated iron crossing detection parameters representing the instruction issuance order are extracted from the equipment parameter information to perform iron crossing analysis.

[0069] In some embodiments, the target iron crossing detection time point is matched with the first iron crossing detection state feature and the second iron crossing detection state feature set in the iron crossing detection module corresponding to the target iron crossing detection instruction, and the following operations are performed according to the matching results.

[0070] If the first iron-passing detection state feature matches the second iron-passing detection state feature, it is defined that there is no iron-passing. If the first iron-passing detection state feature does not match the second iron-passing detection state feature, it is defined that there is iron-passing, and an iron-passing warning signal is issued.

[0071] This embodiment can realize accurate iron-crossing detection of mechanical equipment by extracting the associated parameters and time points of the target iron-crossing detection instruction from the equipment parameter information and inputting them into the corresponding iron-crossing detection module for detection, thereby improving the accuracy of detection, discovering problems in time and taking corresponding measures.

[0072] The method of this embodiment realizes the automated processing from the extraction of equipment parameter information to the detection of iron crossing, and improves the automation level of the detection process. By setting different iron crossing detection modules and matching the corresponding detection state characteristics according to the target iron crossing detection instructions, it is possible to flexibly respond to different types of iron crossing detection needs. When the iron crossing phenomenon is detected, the system can issue an iron crossing warning signal in time to remind relevant personnel to take necessary measures, thereby avoiding or reducing equipment damage or production accidents caused by the iron crossing phenomenon.

[0073] According to another embodiment of the present invention, the method of this embodiment can also be implemented based on the following method.

[0074] Step 1: Real-time collection of equipment parameter information during the operation of mechanical equipment; Step 2: Upload the collected device parameter information to the cloud server; Step 3: Preprocess the uploaded device parameter information, including data cleaning and format conversion; Step 4: Extract the vibration frequency, current change rate, temperature fluctuation and sound characteristics related to the iron-passing phenomenon from the pre-processed equipment parameter information; Step 5: Use machine learning algorithms to analyze characteristic parameters, determine whether there is an iron overload phenomenon, and generate corresponding warning information.

[0075] Machine learning algorithms include support vector machines, decision trees, random forests, etc.

[0076] Step 6: Provide users with real-time monitoring data, warning information and recommended measures through the user interface module.

[0077] The method of this embodiment can more accurately identify the iron phenomenon through multi-dimensional data collection and intelligent analysis. It can also monitor the operating status of the equipment in real time and issue an early warning immediately when the iron phenomenon is detected.

[0078] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0079] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A system for detecting iron-crossing phenomenon based on a digital communication platform of equipment, characterized in that: include: Mechanical equipment detection devices, mechanical data processing devices and cloud servers; The mechanical data processing device is respectively connected to each mechanical equipment detection device in communication, obtains the equipment parameter information detected by the mechanical equipment detection device, pre-processes the equipment parameter information, and performs analysis and feature extraction, extracts a machine learning model to analyze the feature parameters, and determines whether the mechanical equipment has an iron phenomenon; After analyzing the iron-over phenomenon, early warning information is generated and an alarm is given; The mechanical data processing device communicates with the cloud server to send the equipment parameter information and the iron-overflowing phenomenon to the cloud server, and the cloud server displays the equipment parameter information and the iron-overflowing phenomenon based on the user interface.

2. The iron-crossing phenomenon detection system based on the equipment digital communication platform according to claim 1 is characterized in that: The mechanical data processing device is configured with a plurality of devices to detect the interactive process; Retrieve the first device detection interaction process, configure a first iron-crossing detection instruction under the first device detection interaction process, and send the first iron-crossing detection instruction instruction to the mechanical device detection device based on the first device detection interaction process; After receiving the first iron-crossing detection instruction, the mechanical equipment detection device returns equipment parameter information.

3. The iron-crossing phenomenon detection system based on the equipment digital communication platform according to claim 2 is characterized in that: Within a preset time period after the first iron-crossing detection instruction is issued, if the mechanical data processing device receives the equipment parameter information returned by the mechanical equipment detection device in the first equipment detection interaction process in response to the first iron-crossing detection instruction, the mechanical data processing device determines that the first detection process is completed with the mechanical equipment detection device; If no return information is received after the first iron-passing detection instruction is issued within the preset time, the mechanical data processing device matches the second iron-passing detection instruction through the second equipment detection interaction process, interacts with the mechanical equipment detection device, and obtains the equipment parameter information returned by the mechanical equipment detection device that supports the second equipment detection interaction process.

4. The iron-crossing phenomenon detection system based on the equipment digital communication platform according to claim 3 is characterized in that: The mechanical data processing device determines whether the equipment parameter information fed back by all mechanical equipment detection devices is received within the detection time period. If all are received, the detection process of the current detection time period is completed.

5. The iron-crossing phenomenon detection system based on the equipment digital communication platform according to claim 1 or 2, characterized in that: The mechanical data processing device allocates the mechanical equipment detection devices that support the same equipment detection interaction process among the multiple mechanical equipment detection devices to the same iron-crossing detection set according to the equipment detection interaction processes supported by the multiple mechanical equipment detection devices respectively; The mechanical data processing device performs data interaction with multiple iron-passing detection sets based on multiple equipment detection interaction processes.

6. The iron-crossing phenomenon detection system based on the equipment digital communication platform according to claim 1 or 2, characterized in that: When the mechanical data processing device uses the iron-passing detection communication protocol matched by the iron-passing detection set, the device detection interaction process corresponding to the iron-passing detection set performs data transmission with the iron-passing detection set; At least one mechanical equipment detection device matches the first iron detection communication protocol; The mechanical data processing device sends a first detection cycle detection instruction generated in the current detection time period to at least one mechanical equipment detection device to receive first equipment parameter information detected and returned by at least one mechanical equipment detection device based on the first detection cycle detection instruction.

7. A method for detecting iron-overflow phenomenon based on a digital communication platform of an equipment, characterized in that: The method is implemented based on the iron-crossing phenomenon detection system based on the device digital communication platform according to any one of claims 1 to 6, and the method comprises: The mechanical data processing device obtains the equipment parameter information detected by the mechanical equipment detection device, pre-processes the equipment parameter information, and performs analysis and feature extraction, extracts a machine learning model to analyze the feature parameters, and determines whether the mechanical equipment has an iron phenomenon; After analyzing the iron-over phenomenon, early warning information is generated and an alarm is given; The mechanical data processing device sends the equipment parameter information and the iron-overflowing phenomenon to the cloud server, and the cloud server displays the equipment parameter information and the iron-overflowing phenomenon based on the user interface.

8. The method for detecting iron-overflow phenomenon based on a digital communication platform of equipment according to claim 7, characterized in that: The mechanical data processing device obtains the equipment parameter information of the mechanical equipment through the mechanical equipment detection device, and extracts a plurality of iron-passing detection parameters from the equipment parameter information; Constructing a set of iron-crossing detection instructions, and extracting device parameter information corresponding to each iron-crossing detection instruction in the set of iron-crossing detection instructions based on multiple iron-crossing detection parameters; Performing cluster analysis based on multiple device parameter information, and determining a first iron-crossing detection state feature according to the cluster analysis result; Extracting a set of associated iron-crossing detection parameters for each iron-crossing detection instruction under a first iron-crossing detection state feature from a plurality of iron-crossing detection parameters, and constructing an iron-crossing detection module corresponding to each iron-crossing detection instruction in a mechanical data processing device; Obtain equipment parameter information of the mechanical equipment, extract the target-associated iron-crossing detection parameters and target iron-crossing detection time point of the target iron-crossing detection instruction from the equipment parameter information, input them into the iron-crossing detection module corresponding to the target iron-crossing detection instruction to perform iron-crossing detection, and generate equipment parameter information corresponding to the target iron-crossing detection instruction.

9. The method for detecting iron-overflow phenomenon based on a digital communication platform of equipment according to claim 7, characterized in that: In the method, the target iron-crossing detection time point is also matched with the first iron-crossing detection state feature and the second iron-crossing detection state feature set in the iron-crossing detection module corresponding to the target iron-crossing detection instruction, and the following operations are performed according to the matching results: If the first iron-passing detection state characteristic matches the second iron-passing detection state characteristic, it is defined that there is no iron-passing; if the first iron-passing detection state characteristic does not match the second iron-passing detection state characteristic, it is defined that there is iron-passing, and an iron-passing warning signal is issued.

10. The method for detecting iron-overflow phenomenon based on a digital communication platform of equipment according to claim 7, characterized in that: The method also includes: The mechanical data processing device determines the parameter type in the equipment parameter information when acquiring the equipment parameter information; Define a unique device parameter identifier for each parameter type in the device parameter information; Set the corresponding detection method for each parameter type; the detection method can include: Detection based on vibration frequency: By setting the vibration frequency threshold, when the vibration frequency exceeds the vibration frequency threshold, the iron overload warning is triggered; Detection based on current change rate: When the equipment passes through iron, the current change rate is monitored to trigger an iron-passing warning; Detection based on temperature fluctuation: By setting the temperature fluctuation range, when the temperature exceeds the temperature threshold, the iron overload warning is triggered; Detection based on sound analysis: Confirm the iron phenomenon through voiceprint recognition technology.

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