Chain wheel monitoring method and device and storage medium

Abstract

The invention discloses a chain wheel monitoring method and device and a storage medium, and the method comprises the steps: obtaining real-time lubricating oil information in an oil tank of a chain wheel, and real-time bearing temperature information on the chain wheel; the real-time lubricating oil information comprises real-time remaining oil quantity information, real-time oil consumption information and real-time oil temperature information in the oil tank; according to the real-time remaining oil quantity information and the real-time oil consumption information, the oil injection time for adding the lubricating oil into the oil tank and the oil injection quantity for adding the lubricating oil into the oil tank at the oil injection time are determined; according to the real-time bearing temperature information and the real-time lubricating oil information, whether impurities exist in lubricating oil in an oil tank or not is judged; if it is judged that the lubricating oil in the oil tank contains impurities, the alarm module is controlled to send out alarm information. According to the invention, a worker can be prevented from checking the oil quantity of the oil tank every day, and the worker can be reminded to treat lubricating oil in the oil tank, so that the safety and reliability of the operation of the chain wheel are improved.

Description

Technical Field

[0001] This application relates to the field of sprocket monitoring technology, and in particular to a sprocket monitoring method, device and storage medium. Background Technology

[0002] During the operation of a scraper conveyor, the sprocket is a core component that directly affects the working efficiency of the scraper conveyor.

[0003] Lubrication of sprockets is crucial to their operation. However, current technology only monitors the oil temperature and level in the sprocket's oil tank, without monitoring the bearing temperature on the sprocket. Furthermore, manual checks of the oil level and quality are required, and manual adjustments are needed if the oil level is insufficient or if impurities are present. Therefore, it is impossible to guarantee that the sprocket operates with sufficient and impurity-free lubricating oil, thus compromising its safe and reliable operation. Summary of the Invention

[0004] This application provides a sprocket monitoring method, device, and storage medium to improve the safety and reliability of sprocket operation.

[0005] Firstly, a sprocket monitoring method is provided, applied to a scraper conveyor, the method comprising:

[0006] The system acquires real-time information on the lubricating oil in the sprocket's oil tank and the real-time bearing temperature on the sprocket. The real-time lubricating oil information includes the real-time remaining oil level in the oil tank, the real-time oil consumption, and the real-time oil temperature.

[0007] Based on real-time remaining oil level and real-time oil consumption information, determine the oil filling time for adding lubricating oil to the oil tank, as well as the amount of lubricating oil to add to the oil tank at the filling time.

[0008] Based on real-time bearing temperature information and real-time lubricating oil information, determine whether there are impurities in the lubricating oil in the oil tank;

[0009] If impurities are detected in the lubricating oil in the tank, the alarm module will issue an alarm message.

[0010] Preferably, based on real-time bearing temperature information and real-time lubricating oil information, the method for determining whether there are impurities in the lubricating oil in the oil tank includes:

[0011] Based on the real-time bearing temperature information at the current moment and the real-time bearing temperature information at the previous N consecutive moments, determine whether the bearing temperature has risen abnormally.

[0012] If the bearing temperature rises abnormally, the presence of impurities in the lubricating oil in the tank will be determined based on the real-time lubricating oil information in the tank and the sprocket's operating status information. The operating status information includes wear condition and operating temperature.

[0013] Preferably, if the bearing temperature rises abnormally, the system determines whether the lubricating oil in the tank contains impurities based on real-time lubricating oil information and sprocket operating status information, including:

[0014] Based on the real-time lubricating oil information in the oil tank, determine whether the lubricating oil level in the oil tank has increased without adding lubricating oil.

[0015] If the lubricating oil level in the tank rises without adding lubricating oil, it indicates that the lubricating oil in the tank contains impurities; and

[0016] If the wear condition of the sprocket reaches the first preset state, and / or the operating temperature of the sprocket reaches the second preset state, then it is determined that there are impurities in the lubricating oil in the oil tank.

[0017] Preferably, if the bearing temperature rises abnormally, after determining whether there are impurities in the lubricating oil in the oil tank based on the real-time lubricating oil information in the oil tank and the sprocket's operating status information, the method further includes:

[0018] Obtain the image of the lubricating oil located on the bearing;

[0019] The lubricating oil image is input into a pre-trained impurity recognition model to obtain information on the types of impurities in the lubricating oil; the impurity recognition model is trained based on multiple image samples containing the target impurities.

[0020] Preferably, the alarm information includes information about the type of impurity corresponding to the impurities in the lubricating oil.

[0021] Preferably, the real-time oil consumption information includes the real-time consumption rate of the lubricating oil; based on the real-time remaining oil information and the real-time oil consumption information, determining the oil filling time for adding lubricating oil to the oil tank, and the amount of lubricating oil added to the oil tank at the filling time, includes:

[0022] Based on the real-time remaining oil level and real-time oil consumption information, calculate the time between the current moment and when the remaining lubricating oil in the tank is consumed to the first preset oil level, and determine the oil filling time to add lubricating oil to the tank based on the time length.

[0023] Based on the real-time remaining oil level and the first preset oil level, calculate the amount of lubricating oil to be added to the oil tank at the oil filling time.

[0024] Preferably, it further includes:

[0025] When the real-time remaining oil level is less than the second preset oil level, the control alarm module issues an alarm message to remind the user to add lubricating oil to the tank at the designated oiling time; the second preset oil level is greater than the first preset oil level.

[0026] Secondly, a sprocket monitoring device is provided for use in scraper conveyors, the device comprising:

[0027] The information acquisition module is used to acquire real-time lubricating oil information in the sprocket's oil tank and real-time bearing temperature information on the sprocket; the real-time lubricating oil information includes real-time remaining oil level in the oil tank, real-time oil consumption, and real-time oil temperature.

[0028] The first judgment module is used to determine the oil filling time for adding lubricating oil to the oil tank and the amount of lubricating oil to be added to the oil tank at the oil filling time, based on the real-time remaining oil information and the real-time oil consumption information.

[0029] The second judgment module is used to determine whether there are impurities in the lubricating oil in the oil tank based on real-time bearing temperature information and real-time lubricating oil information.

[0030] The alarm module is used to control the alarm module to issue an alarm message if it detects impurities in the lubricating oil in the oil tank.

[0031] Thirdly, an electronic device is provided, comprising: a processor and a memory for storing a computer program, the processor for calling and running the computer program stored in the memory, and performing the methods as described in the first aspect or its various implementations.

[0032] Fourthly, a computer-readable storage medium is provided for storing a computer program that causes a computer to perform the methods described in the first aspect or its various implementations.

[0033] The technical solution provided in this application determines the oiling time and amount of lubricating oil to be added to the oil tank by using real-time remaining oil information and real-time oil consumption information. This allows staff to add lubricating oil to the tank at the determined time, avoiding the need for daily oil level checks. Simultaneously, by using real-time bearing temperature and lubricating oil information, the system can determine if there are impurities in the lubricating oil. If impurities are detected, the alarm module issues an alarm to remind staff to address the lubricating oil issue, thereby improving the safety and reliability of sprocket operation.

[0034] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 An application scenario diagram provided for an embodiment of this application;

[0037] Figure 2 A flowchart illustrating a sprocket monitoring method provided in this application embodiment;

[0038] Figure 3 This is a schematic diagram of a sprocket monitoring device provided in an embodiment of this application;

[0039] Figure 4 This is a schematic block diagram of the electronic device provided in the embodiments of this application. Detailed Implementation

[0040] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0041] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0042] It should be understood that the technical solution of this application can be applied to the following scenarios, but is not limited to:

[0043] In some possible ways, Figure 1 An application scenario diagram provided for an embodiment of this application, such as... Figure 1As shown, this application scenario may include electronic device 110 and network device 120. Electronic device 110 can establish a connection with network device 120 through a wired network or a wireless network.

[0044] For example, electronic device 110 may be a desktop computer, laptop computer, tablet computer, etc., but is not limited thereto. Network device 120 may be a terminal device or a server, but is not limited thereto. In one embodiment of this application, electronic device 110 may send a request message to network device 120, which may be used to request real-time lubricating oil information in the oil tank of the sprocket. Further, electronic device 110 may receive a response message sent by network device 120, which includes the real-time lubricating oil information in the oil tank of the sprocket.

[0045] also, Figure 1 An electronic device 110 and a network device 120 are provided as examples, but other numbers of electronic devices and network devices may be included in practice, and this application does not limit this.

[0046] In other possible implementations, the technical solution of this application may also be executed by the aforementioned electronic device 110, or by the aforementioned network device 120, and this application does not impose any restrictions on this.

[0047] After introducing the application scenarios of the embodiments of this application, the technical solution of this application will be described in detail below:

[0048] Figure 2 A flowchart illustrating a sprocket monitoring method provided in this application embodiment, the method being applied to a scraper conveyor, and the method can be performed by, for example... Figure 1 The electronic device 110 shown performs, but is not limited to, this method. The method may include the following steps:

[0049] S210: Obtain real-time lubricating oil information in the sprocket's oil tank and real-time bearing temperature information on the sprocket.

[0050] The real-time lubricating oil information includes the real-time remaining oil level in the tank, the real-time oil consumption, and the real-time oil temperature.

[0051] It should be noted that an oil level sensor can be installed in the sprocket's oil tank to monitor the lubricating oil level in real time, thereby obtaining real-time information on the remaining oil and the amount of oil consumed. The real-time oil consumption information can be calculated based on the lubricating oil level at a preset historical time and the current oil level. Furthermore, a first temperature sensor is also installed in the oil tank to monitor the temperature of the lubricating oil in real time.

[0052] Here, a second temperature sensor is installed on the bearing of the sprocket. The second temperature sensor is used to monitor the temperature of the lubricating oil adhering to the bearing in real time.

[0053] S220. Based on the real-time remaining oil level information and the real-time oil consumption information, determine the oil filling time for adding lubricating oil to the oil tank, and the amount of lubricating oil to be added to the oil tank at the oil filling time.

[0054] In this step, by determining the oil filling time and the amount of oil to be added to the oil tank based on the real-time remaining oil level and the real-time oil consumption information, it is possible for staff to add lubricating oil to the oil tank at the determined filling time, thereby avoiding the need for staff to check the oil level of the oil tank every day and reducing labor costs.

[0055] S230. Based on real-time bearing temperature information and real-time lubricating oil information, determine whether there are impurities in the lubricating oil in the oil tank.

[0056] Because impurities in the lubricating oil can easily cause damage to the sprocket body and bearings in the sprocket due to unstable operation, and because impurities in the lubricating oil can affect the bearing temperature and the real-time lubricating oil information in the oil tank, the presence of impurities in the lubricating oil in the oil tank can be quickly determined based on the real-time bearing temperature and real-time lubricating oil information. This allows subsequent steps to control the alarm module to trigger an alarm based on the determination result.

[0057] S240. If it is determined that there are impurities in the lubricating oil in the oil tank, the alarm module will issue an alarm message.

[0058] The alarm information includes, but is not limited to, voice alarms and audible and visual alarms.

[0059] By employing the above method, the timing and amount of lubricating oil to be added to the oil tank can be determined using real-time remaining oil and oil consumption information. This allows staff to add lubricating oil to the tank at the designated time, avoiding the need for daily oil level checks. Furthermore, by analyzing real-time bearing temperature and lubricating oil information, the system can determine if there are impurities in the lubricating oil. If impurities are detected, the alarm module will issue an alarm to remind staff to address the issue, thereby improving the safety and reliability of the sprocket operation.

[0060] In some possible implementations, determining whether there are impurities in the lubricating oil in the tank based on real-time bearing temperature information and real-time lubricating oil information may include the following steps:

[0061] S310. Based on the real-time bearing temperature information at the current moment and the real-time bearing temperature information at the previous N consecutive moments, determine whether the bearing temperature has risen abnormally.

[0062] Since impurities in lubricating oil can exacerbate bearing wear and friction, causing the bearing to generate more heat and potentially leading to an abnormal rise in bearing temperature, this study uses the real-time bearing temperature information at the current moment, along with the real-time bearing temperature information at the previous N consecutive moments, to determine whether the bearing is experiencing an abnormal temperature rise and to preliminarily ascertain whether there are impurities in the lubricating oil.

[0063] It should be noted that determining whether the bearing temperature has abnormally increased, based on the current real-time bearing temperature information and the real-time bearing temperature information for the previous N consecutive time points, may include the following steps:

[0064] The current time and the previous N consecutive times are used as the horizontal axis, and the real-time bearing temperature information corresponding to the current time and the previous N consecutive times are used as the vertical axis to draw a graph of bearing temperature change.

[0065] Based on the bearing temperature change graph, determine if there are any moments when the bearing temperature information is abnormal. If so, identify the situation where the bearing temperature rises abnormally. For example, if the bearing temperature is 25℃ at the first historical moment, 24℃ at the second historical moment, and 30℃ at the third historical moment, then the bearing temperature at the third historical moment can be identified as having risen abnormally.

[0066] S320. If the bearing temperature rises abnormally, determine whether there are impurities in the lubricating oil in the oil tank based on the real-time lubricating oil information in the oil tank and the running status information of the sprocket.

[0067] Here, the operating status information includes wear condition and operating temperature status.

[0068] It should be noted that the wear condition here can be obtained by analyzing the images of the sprocket. Specifically, the images of the sprocket surface at the current time and at a historical time with a preset time interval from the current time are compared and analyzed to determine whether the sprocket surface has become rough, or even whether there are scratches and pits. If the above conditions are found, it can be determined that the sprocket has wear.

[0069] In this step, because impurities in the lubricating oil will not only cause an abnormal rise in bearing temperature, but also changes in the real-time lubricating oil information in the oil tank and the operating status information of the sprocket, we further analyze the real-time lubricating oil information in the oil tank and the operating status information of the sprocket based on the abnormal rise in bearing temperature. This allows for a secondary judgment on whether there are impurities in the lubricating oil in the oil tank, thereby improving the accuracy of the judgment on whether there are impurities in the lubricating oil in the oil tank.

[0070] Using the above method, based on the real-time bearing temperature information at the current moment and the real-time bearing temperature information at each of the previous N consecutive moments, it is determined whether the bearing temperature has risen abnormally, in order to initially determine whether there are impurities in the lubricating oil; if it is initially determined that there are impurities in the lubricating oil, that is, an abnormal rise in bearing temperature, then based on the real-time lubricating oil information in the oil tank and the sprocket operating status information, it is further determined whether there are impurities in the lubricating oil in the oil tank, so as to achieve a secondary judgment on whether there are impurities in the lubricating oil in the oil tank, thereby improving the accuracy of the judgment on whether there are impurities in the lubricating oil in the oil tank.

[0071] In some possible embodiments, if the bearing temperature rises abnormally, the system determines whether there are impurities in the lubricating oil in the tank based on real-time lubricating oil information in the tank and the sprocket's operating status. This may include the following steps:

[0072] S410. Based on the real-time lubricating oil information in the oil tank, determine whether the lubricating oil level in the oil tank has increased without adding lubricating oil to the oil tank.

[0073] S420. If the level of lubricating oil in the tank increases without adding lubricating oil, it is determined that there are impurities in the lubricating oil in the tank.

[0074] Since the lubricating oil level will increase after water enters the oil tank, and water is an impurity for lubricating oil, we can determine whether the lubricating oil level in the oil tank has increased without adding lubricating oil by using the real-time lubricating oil information in the oil tank, which is the real-time remaining oil information. If it has increased, it can be determined that water has been mixed into the lubricating oil in the oil tank.

[0075] S430. If the wear condition of the sprocket reaches the first preset state and / or the operating temperature of the sprocket reaches the second preset state, then it is determined that there are impurities in the lubricating oil in the oil tank.

[0076] Since sprockets will experience wear and increased operating temperature even when the lubricating oil is free of impurities, this method compares the wear condition of the sprocket with the first preset state and the operating temperature of the sprocket with the second preset state to quickly and accurately determine whether there are impurities in the lubricating oil in the tank.

[0077] By using the above method, the presence of impurities in the lubricating oil in the tank can be determined based on real-time lubricating oil information, sprocket wear, and operating temperature. This allows for accurate assessment of the presence of impurities in the lubricating oil in the tank.

[0078] In some possible embodiments, if the bearing temperature rises abnormally, after determining whether there are impurities in the lubricating oil in the tank based on real-time lubricating oil information and sprocket operating status information, the following steps may also be included:

[0079] S510. Obtain the image of the lubricating oil corresponding to the lubricating oil located on the bearing.

[0080] Here, before acquiring the image of the lubricating oil corresponding to the lubricating oil on the bearing, the lubricating oil image is smoothed and binarized to facilitate the identification of impurity particles in the lubricating oil image.

[0081] S520. Input the lubricating oil image into the pre-trained impurity recognition model to obtain information on the types of impurities in the lubricating oil.

[0082] Here, the impurity identification model is trained based on multiple image samples containing the target impurities.

[0083] Using the above method, the image of the lubricating oil on the bearing is directly input into the pre-trained impurity recognition model, which can quickly obtain the type information of impurities in the lubricating oil, so that the staff can process the lubricating oil in the oil tank according to the type information of impurities in the lubricating oil.

[0084] Furthermore, the alarm information includes information on the type of impurities corresponding to the impurities in the lubricating oil.

[0085] Here, by including the type of impurities in the lubricating oil in the alarm information, staff can select appropriate methods to treat the impurities in the lubricating oil based on the alarm information.

[0086] In some possible embodiments, the real-time oil consumption information includes the real-time consumption rate of the lubricating oil; determining the oil filling time for adding lubricating oil to the tank and the amount of lubricating oil added to the tank at the filling time based on the real-time remaining oil information and the real-time oil consumption information may include the following steps:

[0087] S610. Based on the real-time remaining oil level information and the real-time consumed oil level information, calculate the time length between the current moment and the time when the remaining lubricating oil in the oil tank is consumed to the first preset oil level, so as to determine the oil filling time for adding lubricating oil to the oil tank based on the time length.

[0088] Since the real-time oil consumption information includes the real-time consumption rate of lubricating oil, the time taken for the sprocket to consume the remaining lubricating oil in the oil tank to the first preset amount under normal working conditions can be calculated based on the real-time remaining oil information and the real-time oil consumption information. Then, based on this time length, the oil filling time for adding lubricating oil to the oil tank can be determined.

[0089] S620. Based on the real-time remaining oil quantity information and the first preset oil quantity, calculate the amount of lubricating oil to be added to the oil tank at the oil filling time.

[0090] Using the above method, based on the real-time remaining oil level information and the real-time oil consumption information, the time length between the current moment and the time when the remaining lubricating oil in the oil tank is consumed to the first preset oil level is calculated, so as to determine the oil filling time for adding lubricating oil to the oil tank; based on the real-time remaining oil level information and the first preset oil level corresponding to the current moment, the amount of lubricating oil to be added to the oil tank at the oil filling time is calculated, so that the staff can inject the calculated amount of oil into the oil tank at the oil filling time, so as to facilitate the staff's oil filling operation of the oil tank.

[0091] Furthermore, it also includes: when the real-time remaining oil level is less than the second preset oil level, the control alarm module issues an alarm message to remind the user to add lubricating oil to the tank at the oil filling time; the second preset oil level is greater than the first preset oil level.

[0092] Using the above method, when the real-time remaining oil level is less than the second preset oil level, the control alarm module issues an alarm message to remind the staff to add lubricating oil to the tank during the oil filling time, thereby reminding the staff to prepare to fill the tank and ensuring that the staff adds lubricating oil to the tank during the oil filling time.

[0093] Figure 3 This is a schematic diagram of a sprocket monitoring device 700 according to an embodiment of the present invention, which is applied to a scraper conveyor. Figure 3 As shown, the device 700 includes:

[0094] The information acquisition module 710 is used to acquire real-time lubricating oil information in the oil tank of the sprocket and real-time bearing temperature information on the sprocket; the real-time lubricating oil information includes real-time remaining oil information, real-time oil consumption information and real-time oil temperature information in the oil tank.

[0095] The first judgment module 720 is used to determine the oiling time for adding lubricating oil to the oil tank and the amount of lubricating oil added to the oil tank at the oiling time, based on the real-time remaining oil information and the real-time consumed oil information.

[0096] The second judgment module 730 is used to determine whether there are impurities in the lubricating oil in the oil tank based on the real-time bearing temperature information and the real-time lubricating oil information.

[0097] The alarm module 740 is used to control the alarm module to issue an alarm message if it is determined that there are impurities in the lubricating oil in the oil tank.

[0098] In some implementations, the second judgment module 730 includes:

[0099] The first judgment unit is used to determine whether the bearing temperature has risen abnormally based on the real-time bearing temperature information at the current moment and the real-time bearing temperature information at the previous N consecutive moments.

[0100] The second judgment unit is used to determine whether there are impurities in the lubricating oil in the oil tank if the bearing temperature rises abnormally, based on the real-time lubricating oil information in the oil tank and the sprocket operating status information; the operating status information includes wear condition and operating temperature status.

[0101] In some implementations, the second decision unit includes:

[0102] The first judgment subunit is used to determine, based on the real-time lubricating oil information in the oil tank, whether the level of lubricating oil in the oil tank has increased without adding lubricating oil to the oil tank.

[0103] The second judgment subunit is used to determine that the lubricating oil in the tank contains impurities if the level of lubricating oil in the tank increases without adding lubricating oil; and

[0104] The third judgment subunit is used to determine that there are impurities in the lubricating oil in the oil tank if the wear condition of the sprocket reaches the first preset state and / or the operating temperature of the sprocket reaches the second preset state.

[0105] In some implementations, the second decision unit also includes:

[0106] The image acquisition subunit is used to acquire the image of the lubricating oil located on the bearing.

[0107] The impurity type information judgment subunit is used to input the lubricating oil image into the pre-trained impurity recognition model to obtain the impurity type information in the lubricating oil; the impurity recognition model is trained based on multiple image samples containing the target impurity.

[0108] In some implementations, the alarm information includes information about the type of impurity corresponding to the impurities in the lubricating oil.

[0109] In some possible implementations, the real-time oil consumption information includes the real-time consumption rate of the lubricating oil; the first judgment module 720 includes:

[0110] The time length calculation unit is used to calculate the time length between the current moment and the time when the remaining lubricating oil in the oil tank is consumed to the first preset oil level, based on the real-time remaining oil level information and the real-time oil consumption information, so as to determine the oil filling time for adding lubricating oil to the oil tank based on the time length.

[0111] The oil injection quantity calculation unit is used to calculate the amount of lubricating oil to be added to the oil tank at the oil injection time based on the real-time remaining oil quantity information and the first preset oil quantity.

[0112] In some implementations, the first judgment module 720 further includes:

[0113] The alarm unit is used to control the alarm module to issue an alarm message to remind the user to add lubricating oil to the oil tank at the oiling time when the real-time remaining oil level is less than the second preset oil level; the second preset oil level is greater than the first preset oil level.

[0114] It should be understood that an embodiment of a sprocket monitoring device and an embodiment of a sprocket monitoring method can correspond to each other, and a similar description can be found in an embodiment of a sprocket monitoring method. To avoid repetition, further details are omitted here. Specifically, Figure 3 The device 700 shown can execute the above-described embodiment of the sprocket monitoring method, and the aforementioned and other operations and / or functions of each module in the device 700 are respectively for implementing the corresponding process in the above-described sprocket monitoring method. For the sake of brevity, they will not be described in detail here.

[0115] The apparatus 700 of this invention, in conjunction with the accompanying drawings, has been described above from the perspective of functional modules. It should be understood that this functional module can be implemented in hardware, in software instructions, or in a combination of hardware and software modules. Specifically, the steps of a sprocket monitoring method and detection method embodiment of this invention can be completed by integrated logic circuits in the processor's hardware and / or by software instructions. The steps of the sprocket monitoring method and detection method disclosed in this invention can be directly manifested as execution by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. Optionally, the software module can be located in a mature storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the aforementioned sprocket monitoring method and detection method embodiment.

[0116] Figure 4 This is a schematic block diagram of an electronic device 110 according to an embodiment of the present invention.

[0117] like Figure 4 As shown, the electronic device 110 may include:

[0118] The system includes a memory 111 and a processor 112. The memory 111 stores computer programs and transfers the program code to the processor 112. In other words, the processor 112 can retrieve and run the computer programs from the memory 111 to implement the methods described in the embodiments of the present invention.

[0119] For example, the processor 112 can be used to execute the above-described method embodiments according to instructions in the computer program.

[0120] In some embodiments of the present invention, the electronic device 110 may include, but is not limited to:

[0121] General-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0122] In some embodiments of the present invention, the memory 111 includes, but is not limited to:

[0123] Volatile memory and / or non-volatile memory. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DR RAM).

[0124] In some embodiments of the present invention, the computer program may be divided into one or more modules, which are stored in the memory 111 and executed by the processor 112 to perform the method provided by the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the controller.

[0125] like Figure 4 As shown, the electronic device 110 may further include:

[0126] Transceiver 113, which can be connected to processor 112 or memory 111.

[0127] The processor 112 can control the transceiver 113 to communicate with other devices; specifically, it can send information or data to other devices or receive information or data sent by other devices. The transceiver 113 may include a transmitter and a receiver. The transceiver 113 may further include antennas, and the number of antennas may be one or more.

[0128] It should be understood that the various components in the electronic device are connected through a bus system, which includes a data bus, a power bus, a control bus, and a status signal bus.

[0129] The present invention also provides a computer storage medium having a computer program stored thereon, which, when executed by a computer, enables the computer to perform the methods of the above-described method embodiments. Alternatively, one embodiment of the present invention also provides a computer program product containing instructions that, when executed by a computer, cause the computer to perform the methods of the above-described method embodiments.

[0130] When implemented using software, it can be implemented entirely or partially as a computer program product. This computer program product includes one or more computer instructions. When these computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., Digital Video Disc (DVD)), or a semiconductor medium (e.g., Solid State Disk (SSD)).

[0131] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0132] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or modules may be electrical, mechanical, or other forms.

[0133] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. For example, the functional modules in the various embodiments of this application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0134] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A sprocket monitoring method, applied to a scraper conveyor, characterized in that, The method includes: The system acquires real-time information on the lubricating oil in the sprocket's oil tank and real-time bearing temperature on the sprocket. The real-time lubricating oil information includes real-time remaining oil in the oil tank, real-time oil consumption, and real-time oil temperature. Based on the real-time remaining oil level information and the real-time oil consumption information, determine the oil filling time for adding lubricating oil to the oil tank, and the amount of lubricating oil to be added to the oil tank at the oil filling time; Based on the real-time bearing temperature information and the real-time lubricating oil information, it is determined whether there are impurities in the lubricating oil in the oil tank; If it is determined that there are impurities in the lubricating oil in the oil tank, the control alarm module will issue an alarm message.

2. The method according to claim 1, characterized in that, The step of determining whether there are impurities in the lubricating oil in the oil tank based on the real-time bearing temperature information and the real-time lubricating oil information includes: Based on the real-time bearing temperature information at the current moment and the real-time bearing temperature information at the previous N consecutive moments, determine whether the bearing temperature has risen abnormally. If the bearing temperature rises abnormally, the system determines whether there are impurities in the lubricating oil in the oil tank based on the real-time lubricating oil information in the oil tank and the operating status information of the sprocket; the operating status information includes wear condition and operating temperature status.

3. The method according to claim 2, characterized in that, If the bearing temperature rises abnormally, the system determines whether the lubricating oil in the tank contains impurities based on real-time lubricating oil information in the tank and the sprocket's operating status. This includes: Based on the real-time lubricating oil information in the oil tank, determine whether the level of lubricating oil in the oil tank has increased without adding lubricating oil to the oil tank; If the level of lubricating oil in the tank increases without adding lubricating oil, it is determined that the lubricating oil in the tank contains impurities; and If the wear condition of the sprocket reaches a first preset state, and / or the operating temperature of the sprocket reaches a second preset state, then it is determined that the lubricating oil in the oil tank contains impurities.

4. The method according to claim 2, characterized in that, If the bearing temperature rises abnormally, after determining whether there are impurities in the lubricating oil in the oil tank based on the real-time lubricating oil information in the oil tank and the operating status information of the sprocket, the method further includes: Obtain an image of the lubricating oil located on the bearing; The lubricating oil image is input into a pre-trained impurity recognition model to obtain impurity type information in the lubricating oil; the impurity recognition model is trained based on multiple image samples containing target impurities.

5. The method according to claim 4, characterized in that, The alarm information includes information about the type of impurities corresponding to the impurities in the lubricating oil.

6. The method according to claim 1, characterized in that, The real-time oil consumption information includes the real-time consumption rate of the lubricating oil; determining the oil filling time for adding lubricating oil to the oil tank and the amount of lubricating oil added to the oil tank at the oil filling time based on the real-time remaining oil information and the real-time oil consumption information includes: Based on the real-time remaining oil information and the real-time consumed oil information, the time length between the current moment and when the remaining lubricating oil in the oil tank is consumed to the first preset oil level is calculated, so as to determine the oil filling time for adding lubricating oil to the oil tank based on the time length. Based on the real-time remaining oil level information corresponding to the current moment and the first preset oil level, calculate the amount of lubricating oil to be added to the oil tank at the oiling time.

7. The method according to claim 6, characterized in that, Also includes: When the real-time remaining oil level at the current moment is less than the second preset oil level, the alarm module is controlled to issue an alarm message to remind the user to add lubricating oil to the oil tank at the oiling time; the second preset oil level is greater than the first preset oil level.

8. A sprocket monitoring device, applied to a scraper conveyor, characterized in that, The device includes: The information acquisition module is used to acquire real-time lubricating oil information in the oil tank of the sprocket and real-time bearing temperature information on the sprocket; the real-time lubricating oil information includes real-time remaining oil information, real-time oil consumption information and real-time oil temperature information in the oil tank. The first judgment module is used to determine the oiling time for adding lubricating oil to the oil tank and the amount of lubricating oil added to the oil tank at the oiling time, based on the real-time remaining oil information and the real-time consumed oil information. The second judgment module is used to determine whether there are impurities in the lubricating oil in the oil tank based on the real-time bearing temperature information and the real-time lubricating oil information. The alarm module is used to control the alarm module to issue an alarm message if it is determined that there are impurities in the lubricating oil in the oil tank.

9. An electronic device, characterized in that, include: A processor and a memory, the memory for storing a computer program, and the processor for calling and running the computer program stored in the memory to perform the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, Used to store computer programs that cause a computer to perform the method as claimed in any one of claims 1-7.

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