Sintering pallet wheel fat liquoring fault grading method and system, electronic equipment and storage medium

Abstract

The invention discloses a sintering pallet wheel fat liquoring fault grading method and system, electronic equipment and a storage medium, and the method comprises the following steps: S1, collecting actual pallet chain data information, and obtaining a pallet chain array; s2, obtaining a trolley number and a serial number of an initial trolley; s3, the initial trolley is searched and recognized, after the initial trolley is recognized, each passing wheel is recognized, positioned and numbered, an automatic greasing device is used for conducting automatic greasing on the wheels, and whether greasing succeeds or not is judged; and S4, according to the current fat liquoring judgment result and the historical fat liquoring judgment result of each wheel on each trolley, the current fault grade of each wheel is obtained. The system can replace manual work to achieve automatic identification, positioning, recording and analysis, through automatic fat liquoring and accurate fault grading, the fat liquoring states of hundreds of wheels can be monitored in real time, the wheels with fat liquoring faults can be identified in time and graded, and workers can conveniently process serious faults in priority.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ore sintering, in particular, to a sintering trolley wheel greasing fault grading method, system, electronic device and storage medium. BACKGROUND

[0002] The sintering machine is a key equipment in the sintering process, and the sintering machine is connected in a loop by a plurality of trolleys along the trolley track. Each trolley may load several tons to tens of tons of iron ore mixture according to the size of the sintering machine, and the total weight of the trolley and the bearing weight may reach tens of tons to hundreds of tons. During the rolling and forward movement of the trolley wheels, the material undergoes complex physical and chemical changes from tens of degrees to thousands of degrees. Therefore, the trolley wheel bearing system needs to have good lubricating capacity. In order to ensure sufficient grease on the bearing and not to affect the normal production and operation of the sintering machine, the trolley wheels need to be greased at regular intervals. Since the sintering machine has hundreds of trolleys, each trolley has four wheels, and the total number of trolley wheels of a sintering machine is hundreds. If manual processing is used, it will be very troublesome to monitor and analyze the greasing of each wheel at its position. SUMMARY

[0003] The present application aims to at least solve one of the technical problems existing in the prior art. To this end, the present application proposes a sintering trolley wheel greasing fault grading method, system, electronic device and storage medium.

[0004] To achieve the above-mentioned purpose, the technical solution adopted by the present application is as follows: A sintering trolley wheel greasing fault grading method, comprising the following steps: S1, collecting actual trolley chain data information to obtain a trolley chain array, wherein the trolley chain array is arranged according to the actual connection order of each trolley number and stored in the database of the server; S2, setting one of the trolleys as an initial trolley to obtain the trolley number of the initial trolley and the sequence number in the trolley chain array ; S3, identifying and locating the initial trolley, identifying and locating each wheel after the initial trolley, automatically greasing each wheel on each trolley with an automatic greasing device, and judging whether the greasing is successful to obtain the current greasing judgment result of each wheel; S4, obtaining the current fault grading of each wheel according to the current greasing judgment result and the historical greasing judgment result of each wheel on each trolley.

[0005] Further, the step S4 specifically comprises: if the current greasing judgment result of the wheel is successful, the current fault classification of the wheel is 0; if the current greasing judgment result of the wheel is unsuccessful, the last greasing judgment result of the wheel is called, if the last greasing judgment result of the wheel is successful, the current fault classification of the wheel is 1, if the last greasing judgment result of the wheel is unsuccessful, the current fault classification of the wheel is 2.

[0006] Further, the method further comprises a step S5 of obtaining a maintenance urgency index of each wheel according to the current fault classification and the historical fault classification of each wheel, and generating a maintenance suggestion of each wheel according to the maintenance urgency index of each wheel.

[0007] Further, the maintenance urgency index of each wheel is obtained by the following formula: is the maintenance urgency index of the wheel, is the current fault classification of the wheel, is the last fault classification of the wheel; is the second last fault classification of the wheel, , and are weight coefficients corresponding to the current fault classification, the last fault classification and the second last fault classification respectively.

[0008] Further, after the initial trolley is identified, each wheel passing through is identified and numbered, specifically comprising: S31, after the initial trolley is identified, the subsequent passing wheel is identified and counted to obtain a wheel count parameter Count; S32, the passing wheel is numbered as , CID is a trolley chain serial number of the trolley where the wheel is located, is a trolley number corresponding to the serial number CID in the trolley chain array; LID is a wheel position serial number of the wheel on the trolley; wherein ; ; is a truncation function, is a modulus operator, is the total number of trolleys.

[0009] Further, the subsequent passing wheel is identified and counted to obtain the wheel count parameter Count, specifically comprising: S311, the laser range finder performs real-time ranging on the side surface of the trolley, and the test position is adapted to the wheel height; S312, when the measured distance d obtained by the laser range finder appears to be reduced and the reduction amount is greater than a preset reduction value, it is judged whether the measured distance d is within the preset distance range within a preset time: if yes, it is identified that one wheel has passed through, and the wheel count parameter Count is increased by one.​

[0010] Further, the judging whether the greasing is successful to obtain the current greasing judgment result of each wheel specifically comprises: during the greasing process, detecting the oil nozzle pressure, the oil nozzle flow, and the wheel cover temperature, judging whether the oil nozzle pressure, the oil nozzle flow, and the wheel cover temperature all satisfy the preset requirements: if yes, the greasing judgment result is successful; if no, the greasing judgment result is unsuccessful.

[0011] The application further provides a sintering trolley wheel greasing fault grading system, which comprises: a trolley chain data acquisition module, which is used for acquiring actual trolley chain data information to obtain a trolley chain array, wherein the trolley chain array is arranged according to the actual connection sequence of each trolley number and is stored in the database of a server; an initial trolley information acquisition module, which is used for setting one trolley as an initial trolley to obtain the trolley number and the sequence number of the initial trolley in the trolley chain array ; a positioning and greasing module, which is used for identifying the initial trolley, identifying and positioning each wheel after the initial trolley, automatically greasing each wheel on each trolley by using an automatic greasing device, and judging whether the greasing is successful to obtain the current greasing judgment result of each wheel; and a fault grading module, which is used for obtaining the current fault grading of each wheel according to the current greasing judgment result and the historical greasing judgment result of each wheel on each trolley.

[0012] The application further provides an electronic device, which comprises a processor and a memory, wherein the memory is used for storing program code and transmitting the program code to the processor; and the processor is used for executing the sintering trolley wheel greasing fault grading method according to the instructions in the program code.

[0013] The application further provides a storage medium, which stores a computer program, and the computer program is executed by a processor to implement the sintering trolley wheel greasing fault grading method.

[0014] The application has the following beneficial effects: The actual trolley chain data is collected by step S1 and stored to the server database, laying a data foundation for subsequent wheel state tracking and fault analysis, and replacing the tedious and error-prone traditional manual recording. Step S2 sets the initial trolley, which facilitates the position calibration of the entire trolley chain, thereby providing accurate position references for other trolleys and wheels on the trolleys. In step S3, the wheels are automatically positioned after identifying the initial trolley, without the need for manual identification and judgment. Through step S4, the current greasing judgment result and the historical greasing judgment result of each wheel are combined to realize fault grading and quantitative evaluation. This grading method can accurately locate the greasing fault degree of each wheel, enabling the staff to quickly grasp the lubrication state of different wheels. Not only can the current greasing failure wheels be found in time, but also the fault continuation can be traced back through historical data, avoiding the influence of single fault on the accuracy of decision-making, and providing clear and accurate fault basis for subsequent maintenance. The method can replace manual identification, positioning, recording and analysis, avoiding the problem that it is difficult for manual to accurately track the greasing state of each wheel when facing a large number of wheels, and the low efficiency of greasing monitoring and fault analysis. Through automatic greasing and accurate fault grading, the greasing state of hundreds of wheels can be monitored in real time, the greasing fault wheels can be identified and graded in time, which facilitates the staff to prioritize the processing of serious faults, prevents the problems such as jamming and wear caused by insufficient lubrication of wheel bearings, reduces the risk of sintering machine shutdown caused by wheel faults, ensures the continuous and stable progress of sintering process, and improves the overall production efficiency.

[0015] In addition to the purposes, features and advantages described above, the present application has other purposes, features and advantages. The present application will be further described below with reference to the drawings. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which form a part of this application, are included to provide a further understanding of the application, illustrate embodiments of the application and assist in explaining the application. In the drawings: Figure 1 is a schematic diagram of the overall flow of one embodiment of the method of the present application; Figure 2 is a schematic diagram of step S3 of one embodiment of the method of the present application; Figure 3 is a schematic diagram of the local detailed flow of one embodiment of the method of the present application; Figure 4 is a schematic diagram of the working principle of one embodiment of the present application; Figure 5 is a schematic diagram of the measurement position of the laser range finder of one embodiment of the present application. DETAILED DESCRIPTION

[0017] It should be understood that the specific embodiments described herein are merely exemplary and do not limit the present application.

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0019] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative positional relationship, movement condition, etc. between components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly.

[0020] In addition, the description of "first", "second" and the like in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of each embodiment can be combined with each other, but it must be based on the realization of a person of ordinary skill in the art, and when the combination of technical solutions contradicts each other or cannot be realized, it should be considered that the combination of technical solutions does not exist, and is not within the protection scope of the present application.

[0021] Please refer to Figure 1 In a preferred embodiment of the present application, a sintering trolley wheel greasing fault grading method is provided, which comprises steps S1, S2, S3 and S4.

[0022] S1, collecting actual trolley chain data information to obtain a trolley chain array, wherein the trolley chain array is arranged according to the actual connection sequence of each trolley number and stored in the database of the server. The trolley chain array can be represented as CA={CA[1], CA[2], …, CA[i], …, CA[N]}. Wherein each number in the array can be represented as CA[i], CA[i] represents the trolley number of the i th sequence number, i=1, 2, 3, …, , The total number of trolleys. If the trolley chain array is CA={001, 002, 003, 004, …}, the serial number of the trolley numbered 001 is i=1, that is, CA[1]=001. During the use of the trolley of the sintering machine, the trolley may be increased, replaced or reduced as needed, and the trolley number can usually be marked directly on the trolley by a hollowing process, or a numbered sign can be fixed on the trolley to display the number. Both of the above methods are more troublesome to change the number, and if the trolley number needs to be completely in order, the entire trolley of the sintering machine needs to be changed when one trolley is changed, which is very troublesome. Therefore, the trolley number is usually not changed when the trolley is increased, replaced or reduced, so that the arrangement order of the trolley is not sorted according to the trolley number alone. For example, the trolley chain array can be CA={001, 100, 102, 103, …}, and CA[2]=100, that is, the trolley numbered 100 has a serial number of 2. The trolley number can be marked by a combination of numbers and two-dimensional codes as shown in Figure 4 . The trolley chain data information includes the connection order of the trolleys and the trolley numbers of the trolleys. Collecting these data information can form a trolley chain array to reflect the connection order of the trolleys and the trolley numbers of the trolleys.

[0023] S2, obtaining the trolley number of the initial trolley and the serial number in the trolley chain array .

[0024] The initial trolley is usually preset, as shown in Figure 4 , the trolley numbered 100 is used as the initial trolley. In order to facilitate the visual system (such as an intelligent camera) to identify the initial trolley, the initial trolley is additionally provided with a special mark, Figure 4 , and “X” is used as the special mark of the initial trolley. According to the preset trolley number of the initial trolley, the trolley chain serial number of the initial trolley is obtained according to the position of the trolley number in the trolley chain array. For example, if the trolley chain array is CA={001, 100, 102, 103, …}, the trolley number of the initial trolley is 100, and the trolley chain serial number of the initial trolley is 2 according to the position of the trolley number 100 in the trolley chain array. In addition, since the special mark “X” and the trolley number mark are not in the same position, when identifying, even if there is dust, oil stains and the like, it only needs to identify that there is a mark in the special mark position, and it does not need to clearly identify that there is a mark and what the specific number of the mark is, so the initial trolley can be accurately identified and judged by visual identification.

[0025] S3, find and identify the initial trolley, after identifying the initial trolley, identify and locate each wheel that passes and number each wheel that passes, automatically lubricate each wheel on each trolley that passes with an automatic lubricating device, and determine whether the lubrication is successful to obtain the current lubrication judgment result of each wheel. The automatic lubricating device can refer to the existing patent CN119468014A, which discloses a sintering trolley lubricating machine. The lubricating machine can move synchronously with the trolley and lubricate during lubrication.

[0026] S4, according to the current lubrication judgment result and the historical lubrication judgment result of each wheel on each trolley, obtain the fault classification of each wheel at this time.

[0027] In one preferred embodiment of the present application, a sintering trolley wheel lubrication fault classification method is provided. The actual trolley chain data is collected by step S1 and stored in the server database, which lays a data foundation for subsequent wheel state tracking and fault analysis, replacing the tedious and error-prone traditional manual recording. Step S2 sets the initial trolley, which facilitates the position calibration of the entire trolley chain, thereby providing accurate position reference for other trolleys and wheels on the trolleys. In step S3, the initial trolley is identified and the wheels are automatically positioned, without the need for manual identification and judgment. In step S3, after identifying the initial trolley, the wheels are automatically numbered and lubricated, without the need for manual operation, greatly reducing labor costs and avoiding the problem of unstable lubrication quality caused by operation differences during manual lubrication, improving lubrication operation efficiency and consistency. Through step S4, the current lubrication judgment result and the historical lubrication judgment result of each wheel are combined to realize fault classification and quantitative evaluation. This classification method can accurately locate the lubrication fault degree of each wheel, allowing workers to quickly grasp the lubrication state of different wheels. Not only can the current lubrication failure wheels be found in time, but also the fault continuation can be traced through historical data, avoiding the influence of single fault on decision accuracy, providing clear and accurate fault basis for subsequent maintenance. This method can replace manual identification, positioning, recording and analysis, avoiding the problem of low lubrication monitoring and fault analysis efficiency due to the large number of wheels and the difficulty of accurately tracking the lubrication state of each wheel. Through automatic lubrication and accurate fault classification, the lubrication state of hundreds of wheels can be monitored in real time, lubrication fault wheels can be identified and classified in time, which is convenient for workers to prioritize serious faults, prevent problems such as jamming and wear caused by insufficient lubrication of wheel bearings, reduce the risk of sintering machine downtime due to wheel faults, ensure the continuous and stable progress of sintering process, and improve overall production efficiency.

[0028] In some embodiments of the present application, step S4 specifically comprises: if the current greasing judgment result of the wheel is successful, the current fault classification of the wheel is 0; if the current greasing judgment result of the wheel is unsuccessful, the last greasing judgment result of the wheel is called, if the last greasing judgment result of the wheel is successful, the current fault classification of the wheel is 1, and if the last greasing judgment result of the wheel is unsuccessful, the current fault classification of the wheel is 2. When the current failure, the above last result distinguishes classification 1 or 2, realizing the refinement and standardization of fault classification. Different from the fuzzy fault judgment, this classification method makes the fault degree quantifiable, and classification 0 directly identifies the normal state without additional attention; classification 1 is the first fault, which may exist occasional factors (such as single occasional greasing failure); classification 2 represents continuous failure, which warns that there may be persistent problems (such as wheel grease channel blockage, greasing nozzle damage). This accurate classification can help workers quickly distinguish the emergency degree of failure, avoid treating all failures equally, resulting in resource waste or missing key problems, and provide clearer judgment basis for subsequent targeted treatment.

[0029] Reference Figure 1 In further embodiments of the present application, step S5 is further included, the maintenance emergency index of each wheel is obtained according to the current fault classification and the historical fault classification of each wheel, and the maintenance opinion of each wheel is generated according to the maintenance emergency index of each wheel. Realize the connection from fault classification to maintenance decision. In the traditional manual mode, the worker needs to judge the maintenance priority according to the fault condition, which is easy to be limited by experience, resulting in delayed or biased decision, and step S5 integrates the current and historical fault classification data to convert the abstract fault information into a referenceable maintenance emergency index, and then generates a clear maintenance opinion based on the index.

[0030] In further embodiments of the present application, the maintenance emergency index of each wheel is obtained by the following formula: . is the maintenance emergency index of the wheel, is the current fault classification of the wheel, is the last fault classification of the wheel; is the second last fault classification of the wheel, , and respectively. The above formula realizes the quantitative evaluation of the maintenance urgency. The formula changes the maintenance urgency evaluation from "qualitative judgment" to "quantitative calculation", ensures the objectivity and accuracy of the maintenance priority decision, and avoids the subjective decision error. Compared with the simple superposition without weight, the formula can adjust the weight according to the actual production demand, such as setting a > b > c, highlighting the influence of the current fault, making the emergency index more closely related to the recently occurred fault, and more reflecting the current fault state. Of course, the weight can also be set according to the level of the fault classification, for example, the weight of the fault classification 2 is 2, the weight of the fault classification 1 is 1, and the weight of the fault classification 0 is 0. Assuming that the classification results of a wheel for three times are 1, 1 and 2 respectively, the maintenance emergency index MEI of the wheel is 2 2+1 1+1 1=6, the greater the value, the more urgent the repair, and the possible values of MEI are 12, 9, 8, 6, 5, 4, 3, 2, 1 and 0. The value range is divided into four levels, and the maintenance opinions of each level are set, such as MEI value is 0, maintenance opinion: normal, no maintenance is needed; MEI value is 1-3, maintenance opinion: to be checked; MEI value is 4-6, maintenance opinion: need maintenance; MEI value is 8-12, maintenance opinion: maintenance or replacement of parts.

[0031] Referring to Figure 2 In some embodiments of the present application, the initial trolley is identified, and after the initial trolley is identified, each wheel that passes through is identified and numbered, specifically including steps S31 and S32.

[0032] S31, the initial trolley is identified, and after the initial trolley is identified, the subsequent passing wheel is identified and counted to obtain the wheel count parameter Count. Usually, through the visual system (such as an intelligent camera), the special mark (such as Figure 4 "X" mark) of the initial trolley is identified. Usually, there is a license plate number on the trolley. Assuming that the sintering machine has 174 trolleys, each trolley has two front and rear wheels, and assuming that the 100th trolley is the initial trolley, then two license plates are installed on it: the start mark X and the license plate number 100. Step S1 acquires the current trolley chain data CA=[001, 002, 003..., 099, 100, 101,..., 172, 173, 174] and stores it in the database of the server. The trolley chain serial number of the initial trolley is 100.

[0033] S32, the passing wheel is positioned and numbered as , CID is the trolley chain serial number of the trolley where the wheel is located, is the trolley number corresponding to the sequence number CID in the trolley chain array; LID is the wheel position sequence number of the wheel on the trolley, LID is 0, representing the front wheel, and LID is 1, representing the rear wheel. For example, the wheel positioning number is {102, 0}, which represents the front wheel of the trolley numbered 102; the wheel positioning number is {102, 1}, which represents the rear wheel of the trolley numbered 102. Although there are four wheels, they are generally divided into two groups of front and rear wheels, and the left and right wheels in the same group share an axle, so only the front wheel axle needs to be lubricated, without distinguishing between left and right wheels. Of course, when greasing, the grease can be added from both ends of the wheel axle.

[0034] wherein ; ; is the floor function, is the modulo operator, is the total number of trolleys.

[0035] is the floor function, for example , the integer part is truncated, and the positive and negative remain unchanged, so , . is the modulo operator, that is, the remainder after division, for example , In the sintering machine trolley circulation operation scenario, hundreds of wheels move with the trolley and are prone to position disorder, making it difficult for manual work to accurately correspond to the position of the wheel; and steps S31 and S32 automatically generate positioning numbers containing trolley sequence number CID and wheel position sequence number LID through Count cumulative counting, combined with the floor function and the modulo operation, to realize the unique identification of each wheel. Ensure that the subsequent greasing record and fault classification can be accurately bound to the specific wheel, provide a clear position basis for fault tracing, and avoid maintenance mistakes caused by ambiguous positioning. In addition, although the prior art has a technical solution for identifying trolley numbers using a visual recognition device, the trolley number recognition may fail due to the number being covered with oil or dust, and the camera may also be obscured by dust, resulting in failed number recognition and positioning of the trolley wheels. Because positioning is not possible, the greasing monitoring cannot be associated with the corresponding wheel, resulting in ineffective results. Steps S31 and S32 can effectively avoid the instability of visual recognition. Specifically, for example Figure 4As shown, firstly, the special mark on the initial trolley is recognized, and the wheel counting is started. Then, the rear wheel of the initial trolley is firstly detected, and then the rear wheel is positioned and numbered. Then, the rear wheel of the initial trolley passes through the automatic lubricating device, and the identified wheel is lubricated one by one. In addition, it can be understood that there is a certain delay from the recognition of the wheel to the lubrication of the wheel by the automatic lubricating device. The delay depends on the relative position distance between the laser range finder and the automatic lubricating device. Generally, the automatic lubricating device can be started after a preset time period after the wheel is recognized, so that the automatic lubricating device can accurately lubricate the wheel.

[0036] With reference to Figure 3 In further embodiments of the present application, the subsequent passing wheel is recognized and counted to obtain the wheel counting parameter Count, specifically comprising steps S311 and S312.

[0037] S311, the laser range finder measures the side of the trolley in real time, and the test position is adapted to the height of the wheel, that is, when the wheel passes, the distance change will be detected by the laser range finder. As shown in Figure 5 As shown, the height of the test position of the laser range finder is within the height range of the wheel, that is, when the wheel passes, it will be tested by the laser range finder.

[0038] S312, when the measured distance d measured by the laser range finder appears to be reduced and the reduction is greater than a preset reduction value, it is judged whether the measured distance d is within the preset distance range within a preset time period: if yes, it is recognized that one wheel has passed, and the wheel counting parameter Count is increased by one. It can be understood that the initial value of Count is assigned as 0, and Count is updated every time a wheel is recognized, so that Count is increased by 1 based on the original value.

[0039] In the complex environment (high temperature, much dust) of the sintering site, manual visual counting or camera vision is easily disturbed by the environment. The laser range finder judges whether a wheel passes by by measuring the distance. When a wheel passes by, the measured distance d of the laser range finder will obviously decrease. Only when the decrease is greater than a preset decrease value, it is considered that a wheel passes by, so as to avoid interference caused by small decrease of the measured distance on wheel recognition. Only when the measured distance d is in the preset distance range for a preset time length, it can be ensured that a wheel passes by, so as to avoid misjudgment caused by sudden decrease of the measured data due to dust and the like, exclude interference factors such as the trolley frame and dust shielding, and accurately determine that a wheel passes by. For example, when the laser range finder detects that the distance suddenly decreases (due to the wheel approaching) and the distance is stably maintained between 1 cm and 3 cm (the preset distance range) for 3 seconds (the preset time length), it is determined that one wheel passes by and the count is accumulated, which provides key data support for the accuracy of subsequent wheel positioning numbering and ensures that each wheel can be accurately identified and managed. It can be understood that the preset distance range, the preset time length and the preset decrease value can be adaptively set according to the actual structure of the trolley.

[0040] In some embodiments of the present application, the judgment of whether the greasing is successful to obtain the current greasing judgment result of each wheel specifically includes: during the greasing process, the pressure of the oiling nozzle, the flow of the oiling nozzle and the temperature of the wheel cover are detected to judge whether the pressure of the oiling nozzle, the flow of the oiling nozzle and the temperature of the wheel cover all meet the preset requirements: if yes, the greasing judgment result is successful; if no, the greasing judgment result is unsuccessful. The problem of fuzzy and misjudgment of the traditional manual judgment standard is solved, and the objectivity and comprehensiveness of the greasing result determination are ensured. When the manual greasing is performed, it is often only judged whether the grease flows out to determine whether the greasing is successful, and problems such as insufficient pressure (the grease is not injected into the bearing) and abnormal temperature (the bearing may be stuck) are ignored. The above steps are detected by multiple parameters at the same time, and only when all the parameters meet the requirements, it is determined that the greasing is successful, so that potential hidden dangers in the greasing process can be comprehensively investigated. The pressure of the oiling nozzle, the flow of the oiling nozzle and the temperature of the wheel cover can be detected by corresponding sensors.

[0041] The present application also provides a sintering trolley wheel greasing fault grading system, which comprises a trolley chain data acquisition module, an initial trolley information acquisition module, a positioning and greasing module and a fault grading module.

[0042] The trolley chain data acquisition module is used for acquiring actual trolley chain data information to obtain a trolley chain array, which is arranged according to the actual connection sequence of each trolley and stored in the database of a server.

[0043] The initial trolley information acquisition module is used for setting one trolley as an initial trolley to obtain the trolley number and the sequence number of the initial trolley in the trolley chain array. .

[0044] The positioning and greasing module is used for finding and identifying the initial trolley, identifying and positioning and numbering each wheel after identifying the initial trolley, automatically greasing each wheel on each trolley by the automatic greasing device, and judging whether the greasing is successful to obtain the current greasing judgment result of each wheel.

[0045] The fault grading module is used for obtaining the current fault grading of each wheel according to the current greasing judgment result and the historical greasing judgment result of each wheel on each trolley.

[0046] The application further provides an electronic device, including a processor and a memory, the memory is used for storing program code and transmitting the program code to the processor; the processor is used for executing the sintering trolley wheel greasing fault grading method according to the instructions in the program code.

[0047] The application further provides a storage medium, the storage medium stores a computer program, and the computer program is executed by a processor to realize the sintering trolley wheel greasing fault grading method.

[0048] The above is only the preferred embodiment of the application and is not used for limiting the application, and the application can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the application should be included in the protection scope of the application.

Claims

1. A sinter pallet wheel greasing failure grading method characterized by, Comprise the following steps: S1, collecting actual trolley chain data information, obtaining a trolley chain array, the trolley chain array is arranged by each trolley number according to the actual connection order of trolley; S2, obtaining the trolley number of the initial trolley and the sequence number in the trolley chain array ; S3, finding and identifying the initial trolley, identifying and positioning the number of each wheel after passing after identifying the initial trolley, automatically greasing each wheel on each trolley passing by using automatic greasing device, and judging whether the greasing is successful to obtain the current greasing judgment result of each wheel; S4, obtaining the current fault classification of each wheel according to the current greasing judgment result and the historical greasing judgment result of each wheel on each trolley.

2. The sinter pallet wheel re-greasing failure classification method according to claim 1, characterized by, Step S4, specifically comprising: If the current greasing judgment result of the wheel is successful, the current fault classification of the wheel is 0; If the current greasing judgment result of the wheel is unsuccessful, the last greasing judgment result of the wheel is called out, if the last greasing judgment result of the wheel is successful, the current fault classification of the wheel is 1, if the last greasing judgment result of the wheel is unsuccessful, the current fault classification of the wheel is 2.

3. The sinter trolley wheel greasing failure grading method according to claim 2, characterized by, Further comprising step S5, obtaining the maintenance emergency index of each wheel according to the current fault classification and the historical fault classification of each wheel, and generating the maintenance opinion of each wheel according to the maintenance emergency index of each wheel.

4. The sinter trolley wheel greasing failure grading method according to claim 3, characterized by, The maintenance emergency index of each wheel is obtained by the following formula: ； an emergency index for maintenance of the wheel, a current fault classification for the wheel, a previous fault classification for the wheel; a previous-to-previous fault classification for the wheel, , and are weight coefficients corresponding to the current fault classification, the previous fault classification and the previous-to-previous fault classification, respectively.

5. The sinter pallet wheel re-greasing failure classification method according to claim 1, characterized by, The finding and identifying the initial trolley, identifying and positioning the number of each wheel after passing after identifying the initial trolley, specifically comprising: S31, identifying the subsequent passing wheel and accumulating the count to obtain the wheel count parameter Count after identifying the initial trolley; S32, set the passed wheel positioning number as , CID is the trolley chain serial number of the trolley where the wheel is located, is the trolley number corresponding to the serial number CID in the trolley chain array; LID is the wheel position serial number of the wheel on the trolley; wherein ; ; is a floor function, is a modulo operator, is the total number of trolleys.

6. The sinter trolley wheel greasing failure grading method according to claim 5, characterized in that, The identifying the subsequent passing wheel and accumulating the count to obtain the wheel count parameter Count, specifically comprising: S311, the laser range finder measures the side of the trolley in real time, and the test position is adapted to the wheel height; S312, when the measurement distance d obtained by the laser range finder measurement appears to shrink and the shrinkage is greater than the preset shrinkage value, it is judged whether the measurement distance d is within the preset distance range within the preset time: if yes, one wheel is identified and determined to pass, and the wheel count parameter Count is increased by one.

7. The sintering bogie wheel re-greasing fault classification method according to claim 1, characterized in that, The judging whether the greasing is successful to obtain the current greasing judgment result of each wheel, specifically comprising: During the greasing process, the oil nozzle pressure, the oil nozzle flow and the wheel cover temperature are detected, whether the oil nozzle pressure, the oil nozzle flow and the wheel cover temperature meet the preset requirements are judged: if yes, the greasing judgment result is successful;If not, the greasing judgment result is unsuccessful.

8. A sinter pallet wheel greasing failure grading system characterized by, Comprise: Trolley chain data acquisition module, for collecting actual trolley chain data information, obtaining a trolley chain array, the trolley chain array is arranged by each trolley number according to the actual connection order of trolley; An initial trolley information acquisition module acquires the trolley number of the initial trolley and the serial number in the trolley chain array ; Positioning and greasing module, for finding and identifying the initial trolley, identifying and positioning the number of each wheel after passing after identifying the initial trolley, automatically greasing each wheel on each trolley passing by using automatic greasing device, and judging whether the greasing is successful to obtain the current greasing judgment result of each wheel; The fault grading module is configured to obtain a current-time fault grade of each wheel according to the current greasing judgment result and the historical greasing judgment result of each wheel on each trolley.

9. An electronic device, comprising: The sintering trolley wheel greasing fault grading method according to any one of claims 1-7 is implemented by a processor when a computer program is executed by the processor.

10. A storage medium storing a computer program, characterized by The computer program is executed by the processor to implement the sintering trolley wheel greasing fault grading method according to any one of claims 1-7.

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