Equipment monitoring method and related equipment

Abstract

The invention provides an equipment monitoring method and a related device, and relates to the field of equipment monitoring, and the scheme comprises the steps: obtaining first target data in a PLC controller, the first target data being associated data of production and processing; acquiring second target data in the processing equipment, wherein the second target data is sampling data in the processing process of the processing equipment; and arranging and displaying data in the collected first target data and second target data based on a time axis sequence. According to the application, the first target data in the PLC and the second target data in the processing equipment are acquired and sequentially displayed based on the time axis, so that the change conditions of the first target data and the second target data in the production process are directly displayed to a user; therefore, a user can quickly analyze the reason of the yield change according to the change condition of the data, so that the production process and the production parameters can be better improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring, and in particular to an equipment monitoring method and related devices. Background Art

[0002] In a company's daily production operations, achieving production targets is directly related to the company's profitability and development. However, in actual production, customers often encounter situations where they set clear and reasonable production targets, only to find that actual production falls short of expectations.

[0003] When production targets are not met, the key challenge is pinpointing the underlying cause. Lacking specific, accurate, and comprehensive data, it's impossible to pinpoint the exact cause.

[0004] Specifically, at the very beginning of the production process—the raw material supply chain—there can be issues with unstable raw material quality. For example, raw material specifications may not meet production requirements, or there may be discrepancies between batches of raw materials provided by suppliers. These subtle issues can impact subsequent production efficiency. However, without real-time monitoring and data recording of raw material indicators, production staff are unable to promptly identify the impact of raw material quality fluctuations on output.

[0005] During the production process, the operating status of equipment is a significant factor influencing output. Equipment may experience sudden failures, disrupting production; or, after prolonged operation, performance may deteriorate, reducing production efficiency. However, without detailed data collection and analysis of equipment operating hours, failure frequency, and maintenance records, it is difficult to determine the specific impact of equipment problems on production. Whether frequent failures of a single key piece of equipment are hindering overall production progress, or whether the accumulation of minor issues across multiple pieces of equipment is leading to a decline in output, it's impossible to accurately determine.

[0006] Uncertainty also exists regarding human operations. Employees may experience increased defective product rates and slowed production due to lack of proficiency, fatigue, or a misunderstanding of the production process. However, without tracking and analyzing data such as employee operation time, steps, and defective product generation, it is difficult to determine whether employee operations played a key role in production failures.

[0007] Without access to specific data, companies struggle to fundamentally address substandard production. Whenever production falls short, they rely on experience to make rough guesses and make simple adjustments. This not only fails to effectively address the problem but can also lead to recurring issues, severely impacting the company's production efficiency and profitability. Therefore, collecting and analyzing specific data from the production process is crucial for companies to pinpoint the root causes of substandard production, optimize production processes, and increase both yield and profitability. Summary of the Invention

[0008] In view of this, an embodiment of the present invention provides an equipment monitoring method and related equipment to assist users in analyzing the reasons why production output cannot meet expectations.

[0009] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0010] A device monitoring method, comprising:

[0011] Acquire first target data in the PLC controller, where the first target data is production and processing related data;

[0012] Acquire second target data in the processing equipment, where the second target data is sampled data during a processing process of the processing equipment;

[0013] The collected first target data and second target data are arranged and displayed in a time-based order.

[0014] Optionally, in the above-mentioned equipment monitoring method, the first target data includes at least time operation rate related data and performance operation rate related data;

[0015] The second target data includes at least one or more of equipment operation history data, modification history data, and fault history data;

[0016] Optionally, in the above-mentioned equipment monitoring method, the time operation rate related data includes: time data of the processing equipment being in production state and non-production state within a set period of time;

[0017] The performance availability related data include: the time it takes for the processing equipment to complete the production of a workpiece, the production volume of workpieces within a preset time, the processing rhythm and the production time.

[0018] Optionally, in the above-mentioned device monitoring method, arranging and displaying each of the collected first target data and second target data based on the time axis sequence includes:

[0019] Calculating a time activation rate and a performance activation rate based on the first target data;

[0020] The time activation rate and performance activation rate calculated at each moment and the second target data are displayed in a column in the order of timestamps.

[0021] Optionally, in the above-mentioned equipment monitoring method, the first target data further includes a processing volume counter and a processing tact time;

[0022] The second target data also includes the target axis coordinates in the processing equipment, the load measuring instrument reading corresponding to the processing equipment,

[0023] Optionally, in the above-mentioned equipment monitoring method, the second target data further includes sampling data of the processed workpiece; the method further includes:

[0024] Providing characteristic values ​​of the processed workpiece by the sampling data;

[0025] determining the stability of the eigenvalue;

[0026] When the stability is abnormal, a warning message is generated and the time node of the stability abnormality is marked.

[0027] Optionally, in the above device monitoring method, after generating the warning information, the method further includes:

[0028] Obtain the time when the warning information is generated, and record it as the warning time;

[0029] The first target data and the second target data collected within a preset time period before the warning moment are obtained and saved in a target file.

[0030] Optionally, the above device monitoring method further includes:

[0031] Determining whether the fluctuation amplitude of the detection data in the first target data and the second target data is greater than the corresponding calibration amplitude;

[0032] If it is greater than the calibration amplitude, record the moment when the fluctuation amplitude is greater than the calibration amplitude, and record it as the fluctuation moment;

[0033] The first target data and the second target data collected within a preset time period before the fluctuation moment are obtained and saved in a target file.

[0034] An equipment monitoring device, comprising:

[0035] A first data acquisition unit is used to obtain first target data in the PLC controller, where the first target data is production and processing related data;

[0036] A second target data acquisition unit is used to acquire second target data in the processing equipment, where the second target data is sampled data during the processing of the processing equipment;

[0037] The display unit is used to arrange and display each data of the collected first target data and second target data based on the time axis sequence.

[0038] An electronic device comprising at least one processing device and a storage device connected to the processing device, wherein:

[0039] The storage device is used to store computer programs;

[0040] The processing device is used to execute the computer program so that the electronic device can implement any one of the device monitoring methods described above.

[0041] Based on the above technical solution, the above solution provided by the embodiment of the present invention directly displays the changes of the first target data and the second target data in the production process to the user by collecting and displaying the first target data in the PLC controller and the second target data in the processing equipment in sequence based on the time axis, so that the user can quickly analyze the reasons for the changes in output according to the changes in these data, thereby further improving the production process and production parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0043] Figure 1 A schematic diagram of a system architecture for implementing a device monitoring method provided in an embodiment of the present application;

[0044] Figure 2 A schematic diagram of a flow chart of a device monitoring method provided in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of the structure of an equipment monitoring device provided in an embodiment of the present application;

[0046] Figure 4 Schematic diagram of application scenarios of electronic devices provided in embodiments of the present application;

[0047] Figure 5 A schematic diagram of the specific structure of the electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0049] In order to help users analyze the reasons why the output of the production line or the quality of the produced workpieces do not meet expectations, the present application provides an equipment monitoring method and related devices. This solution can collect target data from the PLC controller and processing equipment, arrange and display the collected results in a timeline order, so that users can quickly analyze the reasons why production is less than expected based on the displayed data.

[0050] See also Figure 1 , Figure 1 A schematic diagram of a system architecture for implementing a device monitoring method is shown. The system may include a terminal 100 and a server 200.

[0051] Among them, the terminal 100 can be installed with an application for implementing the above-mentioned equipment monitoring method. The above-mentioned application and web page can provide a human-computer interaction interface. The terminal 100 can receive the specific content of the first target data and the second target data configured by the user on the human-computer interaction interface, and then the PLC controller and the processing equipment summarize and collect the first target data and the second target data, and display the collected first target data and the second target data through the display device. At the same time, the collected data can also be sent to the server 200, and the server 200 can store and process the received data in the cloud.

[0052] The terminal 100 in the embodiment of the present application can be a mobile phone, a tablet computer, a wearable device, an augmented reality (AR) / virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc., and the embodiment of the present application does not impose any restrictions on this.

[0053] The terminal 100 may include components such as a radio frequency unit, a memory, an input unit, a display unit, a camera (optional), an audio circuit (optional), a speaker (optional), a microphone (optional), a headphone jack (optional), a processor, an external interface, and a power supply. Those skilled in the art will appreciate that the aforementioned components are merely examples and do not limit the terminal or multi-function device. The terminal or multi-function device may include more or fewer components, or may combine certain components or use different components.

[0054] The input unit can be used to receive input digital or character information and generate key signal input related to user settings and function control of the portable multi-function device. Specifically, the input unit may include a touch screen (optional) and / or other input devices. Specifically, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, power keys, etc.), a trackball, a mouse, a joystick, etc.

[0055] Among them, the input device can receive input data and so on.

[0056] The display unit can be used to display information input by the user or information provided to the user, various menus of the terminal, interactive interfaces, file display and / or playback of any multimedia file. In an embodiment of the present application, the display unit can be used to display the interface of the collected first target data and the second target data, processing results, etc.

[0057] Among them, the memory can be used to store software codes related to implementing the device monitoring method, the processor can execute the steps of the device monitoring method, and can also schedule other units (such as the above-mentioned input unit and display unit) to implement corresponding functions.

[0058] The radio frequency unit (optional) can be used to send and receive information or receive and send signals during a call.

[0059] In this embodiment of the present application, the radio frequency unit can send data to the server 200 and receive the processing results sent by the server 200.

[0060] It should be understood that the radio frequency unit is optional and can be replaced by other communication interfaces, such as a network port.

[0061] The terminal 100 further includes a power source (such as a battery) for supplying power to various components.

[0062] The terminal 100 also includes an external interface, which may be a standard Micro USB interface or a multi-pin connector, and may be used to connect the terminal 100 to other devices for communication, or to connect a charger to charge the terminal 100.

[0063] The server 200 includes a bus, a processor, a communication interface, and a memory. The processor, the memory, and the communication interface communicate with each other via the bus.

[0064] The equipment monitoring method disclosed herein can also be applied to a server connected to a PLC controller, processing equipment, and a display device. The processing equipment can be a CNC machine. The PLC (Programmable Logic Controller) is primarily responsible for controlling machine tool peripherals (such as emergency stop and lubrication systems) and managing logic processes, exchanging signals with the CNC via I / O interfaces or fieldbuses (such as Profibus). The CNC (Computer Numerical Control) equipment focuses on high-precision motion control (such as servo axis positioning and interpolation) and processing code parsing. The two work together through a layered architecture: the PLC handles the underlying safety logic, while the CNC executes core processing instructions. Status signals (such as emergency stop triggering and servo ready) are exchanged in real time via a dedicated interaction area (such as the G / F registers in a FANUC). The server can use data acquisition instructions to collect the first and second target data from the PLC controller and processing equipment and send the collected results to a display device for display.

[0065] PLC data (device status, counters, etc.) can be collected via Industrial Ethernet (such as Ethernet / IP) or the OPC UA protocol. CNC data (coordinates, loads, history, etc.) requires using a vendor interface (such as FANUC's FOCAS library), bus communication (such as EtherCAT), or file sharing protocols for Windows, Linux, and other systems. For example, an Industrial Ethernet switch can be used to connect the PLC controller and CNC processing equipment. Data read commands can be sent to these PLC controllers and CNC processing equipment through the Industrial Ethernet switch to access data from these devices.

[0066] See also Figure 2 , a device monitoring method disclosed in this application may include:

[0067] Step S101: Acquire first target data in the PLC controller, where the first target data is associated data of production and processing.

[0068] In this application, the data in the PLC controller that needs to be collected can be pre-specified and marked as first target data. The type of the first target data can be selected according to user needs. For example, the first target data may include equipment status data in the PLC controller (such as run / stop / fault status), counting results of the processing quantity counter (such as the cumulative processing quantity of workpieces), processing cycle time (the processing time of a single workpiece), and other data. These data are directly related to the production situation, and users can directly view the production situation through these data.

[0069] For example, after the PLC controller collects the first target data, the system applying this method can directly display the target data through the display, or it can use a preset algorithm to process the target data to obtain the expected data that the user wants, and then display the calculated expected data through the display.

[0070] Step S102: Acquire second target data in the processing equipment, where the second target data is sampled data during the processing of the processing equipment.

[0071] Similarly, users can pre-configure the target data collected from the processing equipment and mark this data as second target data. The specific type of this second target data can also be configured according to user needs. For example, this second target data may include: coordinates (the real-time position of the target axis in the processing equipment, such as the real-time position of the X-axis, Y-axis, or Z-axis), load (spindle load rate), measuring instrument readings (readings of the corresponding measuring instruments on the processing equipment, such as workpiece dimensional measurements), and other data. Considering that operator operation and parameter modifications of the processing equipment also affect workpiece production efficiency, in addition to the above data, the second target data may also include equipment operation history, parameter modification history, and other data on the processing equipment.

[0072] Step S103: Arrange and display the collected first target data and second target data in order based on the time axis.

[0073] In this step, the first target data and the second target data may include multiple data items, and a set of first target data and second target data will be acquired in each sampling period. After acquiring the first target data and the second target data, the data acquired in each sampling period are arranged in timeline order, and the acquisition results are displayed. At this time, the user can judge the workpiece production situation based on the displayed data, and when the workpiece production volume fluctuates, the cause of the production volume fluctuation can be quickly determined through the data corresponding to the time of the fluctuation, so as to adjust the equipment in time to ensure the production volume of the workpiece.

[0074] In this solution, the first target data may include time availability data and performance availability data. The time availability data refers to data used to calculate the time availability, and the performance availability data refers to data used to calculate the performance availability. After obtaining the time availability data and the performance availability data, the time availability is calculated based on the time availability data, and the performance availability is calculated based on the performance availability data. The time availability data includes data on the time that the processing equipment is in production and non-production status within a set period of time. The equipment time availability = (total production time / total statistical period duration) × 100%, where the total statistical period duration refers to the set time. For example, if the set time is 12 hours, with 10 hours of production (processing equipment in production) and 2 hours of downtime (non-production), the equipment time availability = 10 / 12 ≈ 83.3%.

[0075] The performance availability data includes the time it takes for the processing equipment to complete a workpiece, the amount of workpieces produced within a preset timeframe, the processing cycle, and production time. In this solution, by monitoring the timestamps and production counter data in the PLC data, we can determine the completion time of each workpiece. The completion time for each workpiece refers to the theoretical processing cycle for that workpiece. This allows us to calculate the amount of workpieces produced within the preset timeframe, the processing cycle, and the production time. Performance availability = (actual production × theoretical processing cycle) / production time × 100%.

[0076] In this solution, in addition to being performed in a system that applies this method, the above-mentioned process of calculating the performance start-up rate and the time start-up rate can also be performed directly in the PLC controller to calculate the time start-up rate and the performance start-up rate, and then the calculated performance start-up rate and the time start-up rate can be directly sent as the first target data to the system that applies this method.

[0077] In this solution, after calculating the time start-up rate and performance start-up rate, the time start-up rate and performance start-up rate corresponding to each moment can be displayed in the form of a waveform graph, or in the form of a dashboard graph or other graphs.

[0078] In this embodiment, to facilitate users to understand the statistical status of the quality of the processed workpieces in real time, in this solution, the second target data may also include sampled data of the processed workpieces, and the sampled data may include sampled graphics of the processed workpieces. After obtaining the sampled data, feature value extraction is performed on the sampled data to determine the stability of the feature value. When the stability is abnormal, it indicates that the specifications of the produced workpieces vary greatly. At this time, it is necessary to generate a warning message and mark the time point of the stability abnormality. The purpose of marking the time point of the stability abnormality is to facilitate users to understand at which time point the stability of the feature value began to be abnormal, so that users can analyze the first target data and second target data collected before the abnormality occurred, thereby better analyzing the cause of the fault. Furthermore, to facilitate users to retrieve data before the abnormality more quickly, after detecting the abnormality and generating the warning message, the first target data and second target data before the abnormality are directly extracted and stored, and the abnormality is associated with these data. When the user views the abnormality, the stored first target data and second target data can be displayed to the user based on the user's operation. Therefore, after generating the warning information in the above scheme, it can also include: obtaining the time when the warning information is generated, recording it as the warning time; obtaining and saving the first target data and the second target data collected within a preset time period before the warning time into a target file.

[0079] In this embodiment, the displayed data can also be monitored. If the production equipment runs smoothly, the values ​​of the first target data and the second target data should remain stable. When the fluctuation amplitude of a certain data in the first target data and the second target data is greater than the corresponding calibration amplitude, the moment when the fluctuation amplitude is greater than the calibration amplitude is recorded as the fluctuation moment; the first target data and the second target data collected within a preset time period before the fluctuation moment are obtained and saved in the target file for user query.

[0080] This embodiment discloses a device monitoring apparatus. For the specific working contents of each unit in the apparatus, please refer to the contents of the above method embodiment.

[0081] The following describes an equipment monitoring device provided by an embodiment of the present invention. The equipment monitoring device described below and the equipment monitoring method described above can be referenced to each other.

[0082] See also Figure 3 , the apparatus may include:

[0083] The first data acquisition unit 10 is used to obtain first target data in the PLC controller, where the first target data is related data of production and processing;

[0084] The second data acquisition unit 20 is used to obtain second target data in the processing equipment, where the second target data is sampled data during the processing of the processing equipment;

[0085] The display unit 30 is configured to arrange and display the collected first target data and second target data in a time-based order.

[0086] An electronic device comprising at least one processing device and a storage device connected to the processing device, wherein:

[0087] The storage device is used to store computer programs;

[0088] The processing device is used to execute the computer program so that the electronic device can implement any one of the device monitoring methods described above.

[0089] The electronic devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0090] See also Figure 4 The electronic device is connected to the PLC controller through a first interface and is connected to the processing equipment through a second interface. The electronic device can read the first target data in the PLC controller through the first interface and the electronic device can read the second target data in the processing equipment through the second interface.

[0091] This application also provides a specific structural diagram of an electronic device. Figure 5 , which shows a schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present application. The electronic device in the embodiments of the present application may include, but is not limited to, fixed terminals such as mobile phones, laptops, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, etc. Figure 5 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0092] like Figure 5 As shown, the electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 602 or programs loaded from a storage device 608 into a random access memory (RAM) 603. When the electronic device is powered on, the RAM 603 also stores various programs and data required for the operation of the electronic device. The processing device 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0093] Typically, the following devices may be connected to the I / O interface 605: an input device 606 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 608 including, for example, a memory card, a hard disk, etc.; and a communication device 609. The communication device 609 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Figure 5 The electronic device is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead.

[0094] An embodiment of the present application also provides a computer program product including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements each step of any device monitoring method provided in the embodiment of the present application.

[0095] A computer-readable storage medium is also provided in an embodiment of the present application. The storage medium carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement the various steps of any device monitoring method provided in the embodiment of the present application.

[0096] The above-mentioned collected data involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0097] For the convenience of description, the above system is described as being divided into various modules according to their functions. Of course, when implementing the present invention, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0098] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple. For relevant parts, refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without expending creative work.

[0099] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0100] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0101] It should also be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0102] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily 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 is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A device monitoring method, characterized in that: include: Acquire first target data in the PLC controller, where the first target data is production and processing related data; Acquire second target data in the processing equipment, where the second target data is sampled data during a processing process of the processing equipment; The collected first target data and second target data are arranged and displayed in a time-based order.

2. The device monitoring method according to claim 1, characterized in that: The first target data includes at least time operation rate related data and performance operation rate related data; The second target data includes at least one or more of equipment operation history data, modification history data, and failure history data.

3. The device monitoring method according to claim 2, characterized in that: The time operation rate related data includes: time data of the processing equipment being in production state and non-production state within a set period of time; The performance availability related data include: the time it takes for the processing equipment to complete the production of a workpiece, the production volume of workpieces within a preset time, the processing rhythm and the production time.

4. The device monitoring method according to claim 3, characterized in that: Arrange and display each of the collected first target data and second target data in a timeline order, including: Calculating a time activation rate and a performance activation rate based on the first target data; The time activation rate and performance activation rate calculated at each moment and the second target data are displayed in a column in the order of timestamps.

5. The device monitoring method according to claim 1, wherein: The first target data also includes a processing volume counter and a processing tact time; The second target data further includes target axis coordinates in a processing device and a load measuring instrument reading corresponding to the processing device.

6. The device monitoring method according to claim 2, characterized in that: The second target data also includes sampling data of the processed workpiece; the method further includes: Providing characteristic values ​​of the processed workpiece by the sampling data; determining the stability of the eigenvalue; When the stability is abnormal, a warning message is generated and the time node of the stability abnormality is marked.

7. The device monitoring method according to claim 6, characterized in that: After the warning information is generated, the following steps are also included: Obtain the time when the warning information is generated, and record it as the warning time; The first target data and the second target data collected within a preset time period before the warning moment are obtained and saved in a target file.

8. The device monitoring method according to claim 1, characterized in that: Also includes: Determining whether the fluctuation amplitude of the detection data in the first target data and the second target data is greater than the corresponding calibration amplitude; If it is greater than the calibration amplitude, record the moment when the fluctuation amplitude is greater than the calibration amplitude, and record it as the fluctuation moment; The first target data and the second target data collected within a preset time period before the fluctuation moment are obtained and saved in a target file.

9. An equipment monitoring device, characterized in that: include: A first data acquisition unit is used to obtain first target data in the PLC controller, where the first target data is production and processing related data; A second target data acquisition unit is used to acquire second target data in the processing equipment, where the second target data is sampled data during the processing of the processing equipment; The display unit is used to arrange and display each data of the collected first target data and second target data based on the time axis sequence.

10. An electronic device, characterized in that: comprising at least one processing device and a storage device connected to the processing device, wherein: The storage device is used to store computer programs; The processing device is configured to execute the computer program so as to enable the electronic device to implement the device monitoring method according to any one of claims 1 to 8.

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