Method and device for determining lubrication of coal chemical equipment

Abstract

The invention provides a lubrication determination method and device for coal chemical equipment. The coal chemical equipment comprises at least one assembly, each assembly comprises at least one rotating part, the rotating parts comprise bearings, and the lubrication determining method comprises the steps that various state parameter values of the at least one rotating part of each assembly are obtained; the lubrication failure degree of each assembly is determined according to the various state parameter values; and determining the lubrication health state of each assembly and / or the lubrication health state of the coal chemical equipment by utilizing the lubrication failure degree and a fuzzy synthesis algorithm. According to the lubrication determination method disclosed by the embodiment of the invention, the lubrication health state of the coal chemical equipment or the assembly thereof can be accurately judged.

Description

Technical Field

[0001] The present disclosure generally relates to the field of lubrication, and more specifically, to a method and apparatus for determining lubrication of coal chemical equipment. Background Art

[0002] It has become an inevitable trend to use centralized and automated greasing for the lubrication of bearings in coal chemical equipment. Currently, centralized and automated greasing uses timed and quantitative greasing to ensure the healthy operation of coal chemical equipment. It also evaluates whether the lubrication has failed and the impact of the failure on the entire machine by judging whether the actual measured values ​​of some parameters of coal chemical equipment or its rotating parts (such as temperature, vibration, noise, and observation of rolling surface wear or rust, etc.) obtained by daily manual inspections exceed the threshold (empirical standard). Ultimately, decisions on whether to re-grease or replace grease are made based on experience.

[0003] However, when regreasing or replacing the grease of coal chemical equipment such as crushers, coal mills, circulating fans, and briquetting machines through the above-mentioned method, only a rough qualitative judgment can be made, and it is impossible to make regreasing and regreasing decisions through a more accurate quantitative method. For more regular operations, there is currently no measurement indicator to evaluate the lubrication status of the parts of the coal chemical equipment that need to be lubricated, such as torque, ambient temperature, and rotation speed. Therefore, in actual production, regreasing and greasing are usually completed based on human experience, so there is a strong randomness, the judgment results vary from person to person, and the uncertainty of judging regreasing and regreasing is relatively large.

[0004] At present, there is no scientific method to judge the extent to which the lubrication state or lubrication health state of coal chemical equipment deviates from a good state and develops into an abnormal state (i.e., failure degree). Furthermore, an evaluation system for the various factors causing failure degree has not been established, especially the extent of the impact of failure on the failure of the entire machine or its assembly. Furthermore, there is no scientific logical judgment basis for the decision on grease replacement and grease replenishment, and it is impossible to explain the logic and rationality of the actual situation. Summary of the invention

[0005] One of the objects of exemplary embodiments of the present disclosure is to overcome at least one of the above-mentioned technical problems.

[0006] One of the purposes of exemplary embodiments of the present disclosure is to provide a lubrication determination solution that can accurately determine the lubrication health status of coal chemical equipment and / or its assemblies.

[0007] According to a first aspect of the present disclosure, a lubrication determination method for coal chemical equipment is provided, the coal chemical equipment includes at least one assembly, each assembly includes at least one rotating component, the rotating component includes a bearing, and the lubrication determination method includes: obtaining multiple state parameter values ​​of at least one rotating component of each assembly; determining the lubrication failure degree for each assembly based on the multiple state parameter values; and determining the lubrication health state of each assembly and / or the lubrication health state of the coal chemical equipment using the lubrication failure degree and a fuzzy comprehensive algorithm.

[0008] According to an embodiment of the present disclosure, the step of determining the lubrication health status of each assembly and / or the lubrication health status of coal chemical equipment using lubrication failure degree and fuzzy comprehensive algorithm may include: obtaining the membership to each assembly status label set for each assembly using a fuzzy comprehensive algorithm based on the lubrication failure degree; obtaining the membership to each equipment status label set for coal chemical equipment using a fuzzy comprehensive algorithm based on the membership to each assembly status label set of each assembly, wherein the membership to each assembly status label set reflects the lubrication health status of each assembly, and the membership to each equipment status label set reflects the lubrication health status of the coal chemical equipment.

[0009] According to an embodiment of the present disclosure, the lubrication determination method may further include: determining whether it is necessary to change or replenish grease for at least one rotating component based on the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment.

[0010] According to an embodiment of the present disclosure, the step of determining whether it is necessary to change or replenish grease for at least one rotating component according to the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment may include: in response to a first condition that the membership corresponding to the first label among the memberships of the coal chemical equipment to each equipment status label set is the largest and the sum of the memberships corresponding to the second label and the memberships corresponding to the third label is greater than or equal to a first preset threshold, determining that it is necessary to change grease for at least one rotating component; in response to a second condition that the first condition is not satisfied and the membership corresponding to the first label among the memberships of a predetermined assembly in at least one assembly to each assembly status label set is the largest and the sum of the memberships corresponding to the second label and the memberships corresponding to the third label is greater than or equal to a second preset threshold, determining that it is necessary to shorten the replenishment period of at least one rotating component of the predetermined assembly, wherein the second preset threshold is less than the first preset threshold, and the lubrication health status of the coal chemical equipment or the lubrication health status of the predetermined assembly gradually increases in the order of the first label, the second label and the third label.

[0011] According to an embodiment of the present disclosure, the step of determining whether it is necessary to change or replenish grease for at least one rotating component based on the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment may also include: in response to the first condition and the second condition not being met, determining that it is not necessary to change or replenish grease for at least one rotating component.

[0012] According to an embodiment of the present disclosure, using a fuzzy comprehensive algorithm based on lubrication failure degree, the step of obtaining the degree of membership of each assembly to each assembly state label set may include: establishing a first fuzzy matrix based on the degree of lubrication failure for each assembly; determining a first weight vector based on the weight of each state parameter; and calculating the degree of membership of each assembly to each assembly state label set based on the first fuzzy matrix and the first weight vector.

[0013] According to an embodiment of the present disclosure, using a fuzzy comprehensive algorithm based on the membership of each assembly to each assembly status label set, the step of obtaining the membership of each equipment status label set for coal chemical equipment may include: establishing a second fuzzy matrix based on the membership of each assembly to each assembly label set; determining a second weight vector based on the influence weight of each assembly on the lubrication health status of the coal chemical equipment; and calculating the membership of the coal chemical equipment to each equipment status label set based on the second fuzzy matrix and the second weight vector.

[0014] According to an embodiment of the present disclosure, the step of determining the lubrication failure degree for each assembly based on multiple status parameter values ​​may include: calculating the first lubrication failure degree for each assembly based on the factory allowable value, actual detection value and limit value of each status parameter, or calculating the second lubrication failure degree for each assembly based on the corresponding weight coefficient obtained from the operation history record.

[0015] According to an embodiment of the present disclosure, the step of determining the lubrication failure degree for each assembly based on multiple state parameter values ​​may also include: determining any one of the first lubrication failure degree and the second lubrication failure degree as the lubrication failure degree for each assembly, or determining the average of the first lubrication failure degree and the second lubrication failure degree as the lubrication failure degree for each assembly.

[0016] According to an embodiment of the present disclosure, the coal chemical equipment includes a crusher, a coal mill, a circulating fan, a briquetting machine, an activation furnace, a belt conveyor or a water pump.

[0017] The lubrication determination method also includes, in response to determining that the roller bearing of the briquetting machine needs to be greased, controlling the valve on the grease filling pipeline connecting the roller bearing seat serving as the lubrication point of the briquetting machine and the grease container to be closed, so that the grease in the grease container flows into the roller bearing seat.

[0018] According to a second aspect of the present disclosure, a lubrication determination device for coal chemical equipment is provided, the lubrication determination device comprising a processor and a memory, the memory storing instructions or programs, which, when executed by the processor, prompt the processor to execute the above-mentioned lubrication determination method.

[0019] The lubrication determination method and apparatus according to the embodiments of the present disclosure can accurately calculate the degree of lubrication failure.

[0020] The lubrication determination method and apparatus according to the embodiments of the present disclosure can make accurate grease replenishment and grease replacement decisions based on the determination result of the lubrication health status.

[0021] The lubrication determination method and device according to the embodiments of the present disclosure quantify the lubrication health status of coal chemical equipment, providing a basis for the subsequent design of the lubrication process. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other objects and features of the exemplary embodiments of the present disclosure will become more apparent through the following description in conjunction with the accompanying drawings which exemplarily illustrate the embodiments, in which:

[0023] Figure 1 is a flow chart of a lubrication determination method according to a first embodiment of the present disclosure;

[0024] Figure 2 is a block diagram of the affiliation of coal chemical equipment according to an embodiment of the present disclosure;

[0025] Figure 3 is a flow chart of a lubrication determination method according to a second embodiment of the present disclosure;

[0026] Figure 4 is a flow chart of a lubrication determination method according to a third embodiment of the present disclosure;

[0027] Figure 5 is a flow chart of a lubrication determination method according to a fourth embodiment of the present disclosure;

[0028] Figure 6 is a flow chart of a lubrication determination method according to a fifth embodiment of the present disclosure;

[0029] Figure 7 is a block diagram of a lubrication determination device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0030] The following detailed description is provided to help gain a comprehensive understanding of the methods, devices and / or systems described herein. However, the order of operations described herein is only an example and is not limited to those orders set forth herein, but may be equivalently replaced or changed except for operations that must occur or be performed in a specific order. In addition, for greater clarity and simplicity, the description of content known in the art will be omitted or simplified.

[0031] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by a person of ordinary skill in the art to which the present disclosure belongs after understanding the present disclosure. Unless explicitly defined as such herein, terms (such as those defined in a general dictionary) should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and should not be interpreted in an idealized or overly formal manner.

[0032] Unless otherwise specified, the same reference numerals generally refer to the same elements (e.g., components, steps, and methods). Reference numerals described in the previous embodiments may be omitted if they appear again in the subsequent embodiments. In addition, the technical features described in different or the same embodiments may be combined in any manner, as long as the combined embodiments or technical solutions are complete and can solve the technical problems of the present application or achieve the technical effects described or not described in the present application but can be determined based on the above complete technical solutions.

[0033] The present disclosure pre-calculates the lubrication failure degree and then uses a fuzzy comprehensive algorithm to evaluate the lubrication state or lubrication health state of coal chemical equipment or its assembly. In addition, the present disclosure can also determine the decision of grease replenishment or grease replacement based on the lubrication health state or the membership degree obtained based on the fuzzy comprehensive algorithm. The terms used in the present disclosure are explained below.

[0034] Lubrication failure degree: measures the degree to which the lubrication condition of coal chemical equipment deviates from a good state to an abnormal state.

[0035] Assembly: A collection of related parts.

[0036] Grease change: Replace the type of grease in the rotating parts of coal chemical equipment.

[0037] Regreasing: Replenishing grease to the rotating parts of coal chemical equipment.

[0038] Figure 1 is a flow chart of a lubrication determination method according to a first embodiment of the present disclosure, Figure 2 is a block diagram of the affiliation of coal chemical equipment according to an embodiment of the present disclosure, Figure 3 is a flow chart of a lubrication determination method according to a second embodiment of the present disclosure, Figure 4is a flow chart of a lubrication determination method according to a third embodiment of the present disclosure, Figure 5 is a flow chart of a lubrication determination method according to a fourth embodiment of the present disclosure, Figure 6 is a flowchart of a lubrication determination method according to a fifth embodiment of the present disclosure.

[0039] The coal chemical equipment disclosed in the present invention includes at least one assembly, each assembly includes at least one rotating part (e.g., a bearing), and the affiliation of the coal chemical equipment disclosed in the present invention may be that the coal chemical equipment includes the assembly, the assembly includes the rotating part, and each rotating part may have at least one lubrication point. Specifically, the coal chemical equipment may include a crusher, a coal mill, a circulating fan, a briquetting machine, an activation furnace, a belt conveyor, a water pump, and the like.

[0040] For details, please refer to Figure 2 , the coal chemical equipment of the present disclosure may include a first assembly and a second assembly, the first assembly may include a first rotating component, the second assembly may include a second rotating component, the first rotating component may have a first lubrication point, and the second rotating component may have a first lubrication point and a second lubrication point, but this is only an example, and the number of assemblies in the coal chemical equipment, the number of rotating components of each assembly, and the number of lubrication points of each rotating component are not specifically limited. That is to say, in addition to the first assembly and the second assembly, the coal chemical equipment may also include a third assembly, a fourth assembly, etc., each assembly may also include more rotating components, and each rotating component may have more lubrication points.

[0041] Reference Figure 1 The lubrication determination method according to the first embodiment of the present disclosure includes step S110, step S120 and step S130. In addition, the lubrication determination method according to the first embodiment of the present disclosure may further include step S140.

[0042] In step S110 , multiple state parameter values ​​of at least one rotating component of each assembly are obtained.

[0043] The various state parameter values ​​here may include at least one of a temperature value, a vibration value, and a noise value. That is, the state parameter includes temperature, vibration, or noise. The state parameter may vary according to the type of coal chemical equipment and the types of assemblies and rotating parts included. For example, the state parameter may also include rolling surface wear, fatigue, rust, and the like.

[0044] As an example, the state parameters may also include state parameters divided into different degrees. For example, vibration may be further divided into abnormal vibration (e.g., vibration whose amplitude exceeds a predetermined value), regular abnormal vibration (e.g., vibration whose amplitude exceeds a predetermined amplitude at each predetermined time), etc., where the abnormal vibration and regular abnormal vibration may be regarded as different types of state parameters, and noise may be further divided into abnormal noise and regular abnormal noise, where the abnormal noise and regular abnormal noise may also be regarded as different types of state parameters. For example, taking a briquetting machine as an example, the vibration may be the vibration of the bearing of the pressing roller, and taking a belt conveyor as an example, the vibration may be the vibration of the head sweeper bearing, the head large roller bearing, etc.

[0045] In addition, the state parameter value may also be a grade value after being divided according to a predetermined standard. For example, the vibration amplitude may be graded, and different vibration amplitudes may correspond to six grades (1, 2, 3, 4, 5, and 6). The higher the grade, the greater the vibration amplitude. Similarly, temperature, noise, etc. may also be graded, and the corresponding grade value may be used as the state parameter value.

[0046] Various status parameter values ​​can be collected through corresponding sensors. For example, temperature can be determined by a temperature sensor, vibration can be determined by a vibration sensor, and noise can be determined by a decibel meter. However, this is only an example and can also be determined manually. For example, experienced inspectors, point checkers and operators can determine various status parameter values ​​through touch, hearing and vision.

[0047] As an example, the state parameter value can be determined by sensors and manual cooperation. The location of the corresponding sensor on at least one rotating component is not specifically limited, but the corresponding sensor can be preferably installed at a location where the temperature, vibration amplitude and / or noise amplitude are relatively high, so as to facilitate detection and discrimination.

[0048] Taking the briquetting machine as a coal chemical equipment as an example, the state parameter values ​​of the bearing (rotating part) of the pressing roller (assembly number 2) of the briquetting machine are as follows: the vibration value is 3, the temperature value is 64.3, and the noise value is 91. The corresponding relationship between different state parameter values ​​and labels (for example, comments) is shown in Table 1.

[0049] Table 1 Inspection standards for roller bearings

[0050]

[0051] As shown in Table 1, the temperature, vibration, and noise of the rotating parts can be inspected and classified into predetermined levels, for example, four levels, "good", "good", "abnormal", and "dangerous", or more or fewer levels. The specific classification criteria can be determined in advance, for example, the classification can be made based on the historical data of the state parameters and combined with the experience of relevant personnel or pre-established criteria.

[0052] Before determining the health status of coal chemical equipment or its assembly, the types of coal chemical equipment and the characteristics of the rotating parts that need lubrication during actual production and operation can be analyzed, the technical parameters and model specifications of the rotating parts can be determined, the information contained in different production logs and the meaning of the information that can reflect the lubrication health system of coal chemical equipment can be understood, and an operation data collection and storage system can be established, and a basic information table related to lubrication can be established. Specifically, under different temperatures and different working hours, the status parameter values ​​can be collected in large quantities and for a long time, and the operating status of the coal chemical equipment can be analyzed and judged by inspectors, point checkers and operators or pre-established standards, and compared with the standards that can reflect the health status of lubrication.

[0053] In step S120 , the lubrication failure degree for each assembly is determined according to the various state parameter values.

[0054] The present disclosure can use four states, namely, good state ("good"), lubrication state deviating from good state ("good"), state approaching abnormality ("abnormal"), and dangerous state ("dangerous"), to indicate the degree of development of lubrication failure. When measuring the degree of lubrication failure, the degree of deviation of the measured parameter value from the good state value of the lubrication state can be referred to, and the degree of proximity to the dangerous state indicating a complete failure value can also be considered. The degree of lubrication failure can be determined in two ways.

[0055] The step S120 of determining the lubrication failure degree for each assembly according to the multiple state parameter values ​​may include: calculating a first lubrication failure degree for each assembly according to a factory allowable value, an actual detection value, and a limit value of each state parameter.

[0056] The factory allowable value and limit value of each state parameter can be obtained based on the basic information table as mentioned above, and can also be determined based on the specifications or instructions of the coal chemical equipment and grease.

[0057] For example, the lubrication failure degree (first lubrication failure degree) can be calculated according to the following formula (1).

[0058] L ij =[(CA) / (BA)] K (1)

[0059] Where i represents the serial number of the assembly, and j represents the serial number of the state parameter. For example, Lij It represents the lubrication failure degree of the j-th state parameter of the ith assembly (the first state parameter shown in Table 1 is vibration, the second state parameter is temperature, and the third state parameter is noise), K is an empirical value, and in the present disclosure, K can be 2, C is the measured value of the state parameter, A is the allowable value of the state parameter (for example, the value corresponding to "good"), and B is the limit value of the state parameter.

[0060] Still taking the briquetting machine as an example, according to the vibration value, temperature value and noise value of the bearing, and referring to Table 1, the lubrication failure degree L can be calculated for the second assembly. 21 , L 22 and L 23 , the specific calculation method is as follows:

[0061] L 21 =[(CA) / (BA)] 2 =[(3-1) / (6-1)] 2 =0.160

[0062] L 22 =[(CA) / (BA)] 2 =[(64.3-60) / (70-60)] 2 =0.184

[0063] L 23 =[(CA) / (BA)] 2 =[(90-80) / (95-80)] 2 =0.490

[0064] The lubrication failure degree may be calculated for the first assembly or other assemblies in a similar manner. The above method for calculating the lubrication failure degree is only an example, and the lubrication failure degree may also be calculated by other calculation methods.

[0065] The step of determining the lubrication failure degree for each assembly according to the multiple state parameter values ​​may include: calculating the second lubrication failure degree for each assembly according to the corresponding weight coefficient obtained from the operation history record. The second lubrication failure degree may be calculated in combination with the operation history record data and the weight coefficient determined therefrom. The operation history record data may include the scores of the inspectors, spot checkers and operators of the coal chemical equipment, which may be specifically calculated by the following formula (2).

[0066] L ij = (X×P1+ Y×P2+ Z×P3) (2)

[0067] Where i represents the serial number of the assembly, and j represents the serial number of the state parameter. For example, L ijIndicates the lubrication failure degree of the jth state parameter of the i-th assembly (the first state parameter shown in Table 1 is vibration, the second state parameter is temperature, and the third state parameter is noise). P1, P2, and P3 can be the corresponding weight coefficients obtained from the operation history records, and the sum of the three is 1. The weight coefficient can also be predetermined according to the experience and professional ability of the inspector, point checker, and operator. X, Y, and Z can be the scores obtained from historical data, or the scores given by the inspector, point checker, and operator, respectively, and their values ​​are between 0 and 1, with 0 representing "good" and 1 representing "dangerous".

[0068] The lubrication failure degree (second lubrication failure degree) may be calculated for the second assembly or other assemblies in a similar manner.

[0069] As an example, the step of determining the lubrication failure degree for each assembly according to a plurality of state parameter values ​​may further include determining any one of the first lubrication failure degree and the second lubrication failure degree as the lubrication failure degree for each assembly. In order to improve the accuracy of the lubrication failure degree, the final lubrication failure degree may be determined based on both the first lubrication failure degree and the second lubrication failure degree. For example, the average value of the first lubrication failure degree and the second lubrication failure degree may be determined as the lubrication failure degree for each assembly. In other words, the step of determining the lubrication failure degree for each assembly according to a plurality of state parameter values ​​may further include determining the average value of the first lubrication failure degree and the second lubrication failure degree as the lubrication failure degree for each assembly.

[0070] In step S130, the lubrication failure degree and the fuzzy comprehensive algorithm are used to determine the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment.

[0071] The fuzzy comprehensive algorithm is a comprehensive evaluation method based on fuzzy mathematics. It converts qualitative evaluation into quantitative evaluation according to the membership theory of fuzzy mathematics, and uses fuzzy mathematics to make an overall evaluation of things or objects that are constrained by multiple factors. The fuzzy comprehensive algorithm has the characteristics of clear results and strong systematicity. In the present disclosure, it can better solve the problem of fuzzy and difficult to quantify evaluation results.

[0072] According to an embodiment of the present disclosure, the membership of the state label set for the assembly or coal chemical equipment can be determined based on the calculated lubrication failure degree according to the fuzzy comprehensive algorithm, and the lubrication health state of the coal chemical equipment or its assembly can be determined according to the membership. When determining the lubrication health state of the coal chemical equipment or its assembly, a hierarchical determination can be performed for the coal chemical equipment, assembly, and rotating parts.

[0073] Reference Figure 3The step S130 of determining the lubrication health state of each assembly and / or the lubrication health state of the coal chemical equipment by using the lubrication failure degree and the fuzzy comprehensive algorithm may include step S1301 and step S1302.

[0074] In step S1301, a fuzzy comprehensive algorithm based on lubrication failure degree is used to obtain the membership degree of each assembly to each assembly state label set. The membership degree of each assembly state label set can reflect the lubrication health state of each assembly.

[0075] As an example, a fuzzy matrix (ie, R matrix) may be obtained based on the lubrication failure degree, and then the membership degree for each assembly state label set may be calculated based on the fuzzy matrix and a predetermined weight vector.

[0076] Reference Figure 4 , using the fuzzy comprehensive algorithm based on lubrication failure degree, the step of obtaining the membership degree of each assembly state label set for each assembly may include step S13011, step S13012 and step S13013.

[0077] In step S13011, a first fuzzy matrix is ​​established based on the lubrication failure degree of each assembly.

[0078] Taking the briquetting machine as an example, the lubrication failure degree L calculated for the second assembly is 21 =0.160, L 22 =0.184, L 23 =0.490.

[0079] When determining the fuzzy matrix, it is necessary to first determine the membership function. As an example, the membership function can be determined by the assignment method. For example, the ridge distribution shown in formula (3) to formula (6) can be used as the membership function. However, this is only an example. When determining the membership function, other distributions can be used as membership functions according to the different coal chemical equipment and state parameters. For example, trapezoidal distribution, parabolic distribution, etc. can be selected as membership functions. If the sum of each group of membership calculated is not 1, it can be normalized.

[0080] However, the present disclosure is not limited thereto, and in addition to determining the membership function by the assignment method, the membership function may also be determined by a statistical method and an existing objective formula.

[0081]

[0082]

[0083]

[0084]

[0085] Substitute the L21, L22 and L23 calculated above into equations (3) to (6) to obtain the fuzzy matrix r2, as shown in the following equation (7).

[0086]

[0087] In step S13012, a first weight vector is determined based on the weight of each state parameter.

[0088] As an example, the first weight vector may be calculated based on the weights of vibration, temperature and noise, and the specific weights may be predetermined, for example, may be predetermined according to the degree of influence of each state parameter on the lubrication health state of the corresponding assembly. As an example, the weight of each state parameter may be an empirical value.

[0089] The elements in the first weight vector can be determined by the parallelism method. Specifically, the influence of vibration, temperature and noise on the lubrication health status of the second assembly can be scored, and then the weights can be obtained after normalization. The elements in the first weight vector can also be determined based on the historical data of coal chemical equipment. In order to improve the accuracy, the scoring data of inspectors, spot checkers and operators over multiple days can be averaged. For example, taking the briquetting machine as an example, the weights of vibration, temperature and noise on the lubrication health status of the second assembly can be 0.33, 0.47 and 0.2 respectively, and the first weight vector A2 is (0.33, 0.47, 0.2).

[0090] In step S13013, the membership of each assembly to each assembly state label set is calculated based on the first fuzzy matrix and the first weight vector.

[0091] For example, taking the second assembly as an example, the membership of the second assembly to each assembly state label set is calculated based on the first fuzzy matrix and the first weight vector. In order to speed up the calculation, the membership B2 of the second assembly to each assembly state label set can be calculated by ordinary matrix multiplication. This is just an example, and other methods can also be used to calculate the membership. The label set here can be a comment set.

[0092] Specifically, the degree of membership B2 of each assembly status label set can be calculated by the following formula (8).

[0093] B2=A2.r2 (8)

[0094]

[0095] It can be obtained that B2 = (0.801, 0.188, 0.012, 0). Each assembly can be calculated in a similar way to obtain all B i value, i is the number of assemblies.

[0096] Reference Figure 3 In step S1302, a fuzzy comprehensive algorithm based on the membership of each assembly to each assembly status tag set is used to obtain the membership of each equipment status tag set for the coal chemical equipment. The membership of each equipment status tag set can reflect the lubrication health status of the coal chemical equipment.

[0097] As an example, a second fuzzy matrix (ie, R matrix) may be obtained based on the membership of each assembly label set, and then the membership of each assembly state label set may be calculated based on the second fuzzy matrix and a predetermined second weight vector.

[0098] specifically refer to Figure 5 , using a fuzzy comprehensive algorithm based on the membership of each assembly to each assembly status label set, the step of obtaining the membership of each equipment status label set for coal chemical equipment may include step S13021, step S13022 and step S13023.

[0099] In step S13021, a second fuzzy matrix is ​​established according to the membership of each assembly to each assembly label set.

[0100] The second fuzzy matrix R can be expressed as the following equation (9), where n represents the number of assemblies.

[0101]

[0102] In step S13022, a second weight vector is determined based on the influence weight of each assembly on the lubrication health status of the coal chemical equipment.

[0103] Similar to the way the first weight is obtained, the weight of the impact of each assembly on the lubrication health status of the coal chemical equipment can also be predetermined. For example, the elements in the second weight vector can be determined based on the historical data of the coal chemical equipment. The elements in the second weight vector can also be determined by the parallelism method. Specifically, each assembly can be scored according to the degree of impact on the lubrication health status of the coal chemical equipment, and then the weight can be obtained after normalization. In order to improve accuracy, the scoring data of inspectors, spot checkers and operators over multiple days can be averaged.

[0104] Taking the briquetting machine as an example, assuming there are seven assemblies in total, the second weight vector A can be (0.186, 0.136, 0.158, 0.113, 0.113, 0.17, 0.124).

[0105] In step S13023, the membership of the coal chemical equipment to each equipment state label set is calculated based on the second fuzzy matrix and the second weight vector. In order to speed up the calculation, the membership B to each equipment state label set can be calculated by ordinary matrix multiplication. This is just an example, and other methods can also be used to calculate the membership. The membership B to each equipment state label set can be calculated by B=AR. If the sum of the calculated elements of B (i.e., each membership) is not 1, it can be normalized and the normalized value is used as the membership to each equipment state label set.

[0106] Reference Figure 1 , the lubrication determination method according to the first embodiment of the present disclosure may further include step S140.

[0107] In step S140, it is determined whether it is necessary to replace or replenish grease for at least one rotating component according to the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment.

[0108] As an example, if the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment is "good" or "good", it can be determined that there is no need to replace or replenish the grease for at least one rotating component. If the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment is "abnormal" or "dangerous", at least one rotating component can be replaced or replenished.

[0109] Reference Figure 6 The step of determining whether it is necessary to change or replenish grease for at least one rotating component according to the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment may include step S1401 and step S1402.

[0110] In step S1401, in response to a first condition that the degree of membership corresponding to the first label among the degrees of membership of the coal chemical equipment to each equipment status label set is the largest and the sum of the degrees of membership corresponding to the second label and the degrees of membership corresponding to the third label is greater than or equal to a first preset threshold, it is determined that at least one rotating component needs to be regreased.

[0111] Each device status tag set and each assembly status tag set can be predetermined. The device status tag set of each device can be divided into four levels, and the corresponding four tags are "good", "good", "abnormal" and "dangerous". The assembly status tag set of each assembly can also be divided into four levels, and the corresponding four tags can also be "good", "good", "abnormal" and "dangerous". However, this is only an example. Each status tag set can be divided into more levels and different tags can be used. In addition to comments, the tags here can also include numerical levels, etc.

[0112] For example, the fourth label, the third label, the second label, and the first label may correspond to "good", "good", "abnormal", and "dangerous", respectively. That is, the lubrication health state of the coal chemical equipment or the lubrication health state of the predetermined assembly is enhanced in the order of the first label, the second label, the third label, and the fourth label.

[0113] Assuming that the membership of the coal chemical equipment to each equipment status label set corresponds to the first label (e.g., "dangerous"), the membership corresponding to the second label (e.g., "abnormal") and the sum of the membership corresponding to the third label (e.g., "good") is greater than or equal to the first preset threshold (e.g., 0.8), it means that the lubrication health of the equipment is poor and other types of grease can be replaced. For example, the grease of each lubrication point of each rotating part can be replaced. However, this is only an example, and the decision to change or replenish grease can be made based only on the maximum membership.

[0114] In step S1402, in response to the first condition not being satisfied and the second condition being satisfied that the membership corresponding to the first label among the memberships of the predetermined assembly in the at least one assembly to each assembly status label set is the largest and the sum of the membership corresponding to the second label and the membership corresponding to the third label is greater than or equal to a second preset threshold, it is determined that the grease replenishing cycle of at least one rotating component of the predetermined assembly needs to be shortened.

[0115] For example, if the first condition is not met and the lubrication health status of a certain assembly meets certain conditions, the greasing cycle of the assembly is shortened. Assuming that the first condition is not met and the membership corresponding to "danger" among the memberships of the second assembly to each assembly status label set is the largest and the sum of the membership corresponding to "abnormal" and the membership corresponding to "good" is greater than or equal to the second preset threshold (for example, 0.7), it can be determined that the greasing cycle of at least one rotating component of the second assembly needs to be shortened. As an example, the greasing cycle of each lubrication point of each rotating component of the second assembly can be shortened, where the second preset threshold is less than the first preset threshold. The thresholds involved in the present disclosure can all be empirical values ​​and can be predetermined.

[0116] When it is determined that a rotating part (e.g., a bearing) of a certain assembly needs to be greased or replenished, the on-off of the grease adding pipeline can be controlled. The grease adding pipeline can connect various lubrication points of the rotating part with the grease container. For example, the on-off or opening degree of the valve on the grease adding pipeline can be controlled to perform the grease replenishment operation. When it is determined that the grease needs to be replaced, the on-off of the grease discharge pipeline can be controlled to control the discharge of the grease, and the grease in the grease container can be replaced, and then the grease adding pipeline is controlled to replenish the replaced grease.

[0117] For example, when it is necessary to regrease the lubrication point of the roller bearing of the briquetting machine, the valve on the grease filling pipeline connecting the roller bearing seat (lubrication point) of the briquetting machine and the grease container can be controlled to close, so that the grease in the grease container flows into the roller bearing seat.

[0118] It should be noted that, although the present disclosure uses a briquetting machine as an example for explanation, the lubrication determination scheme of the present disclosure is not only applicable to a briquetting machine, but also applicable to other coal chemical equipment including bearings. In addition, if each assembly includes multiple rotating parts, a similar hierarchical determination method can be used for determination, and the affiliation of the coal chemical equipment can also be adjusted to adjust the number of rotating parts contained in each assembly. In addition, a representative assembly of multiple assemblies of the coal chemical equipment can be selected for lubrication determination, and a representative rotating part in each assembly of the coal chemical equipment can also be selected for lubrication determination.

[0119] Reference Figure 6 The step of determining whether it is necessary to replace or replenish grease for at least one rotating component according to the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment may also include step S1403.

[0120] In step S1403, in response to the first condition and the second condition not being satisfied, it is determined that there is no need to replace or replenish grease for at least one rotating component. The present disclosure is not limited to this, and more conditions may be set.

[0121] As an example, the technical parameters provided by the manufacturer of coal chemical equipment and multiple grease suppliers can be combined to determine the theoretical and actual grease model, grease change conditions and grease replenishment cycle, etc.

[0122] Figure 7 is a block diagram of a lubrication determination device according to an embodiment of the present disclosure.

[0123] Reference Figure 7 According to an embodiment of the present disclosure, the lubrication determination device 600 may include a state parameter acquisition module 610 , a failure degree calculation module 620 and a lubrication determination module 630 .

[0124] The state parameter acquisition module 610 can obtain multiple state parameter values ​​of at least one rotating component of each assembly. As an example, the state parameter acquisition module 610 can obtain multiple state parameter values ​​of at least one rotating component of each assembly detected by a sensor, such as vibration value, temperature value and noise value.

[0125] The failure degree calculation module 620 may determine the lubrication failure degree for each assembly according to a plurality of state parameter values. Specifically, the failure degree calculation module 620 may calculate the lubrication failure degree corresponding to each state parameter value for each assembly according to a plurality of state parameter values.

[0126] The lubrication determination module 630 may determine the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment using the lubrication failure degree and the fuzzy comprehensive algorithm.

[0127] The lubrication determination module 630 may obtain the membership of each assembly state label set for each assembly using a fuzzy comprehensive algorithm based on the lubrication failure degree, and may obtain the membership of each equipment state label set for the coal chemical equipment using a fuzzy comprehensive algorithm based on the membership of each assembly state label set. That is, the lubrication determination module 630 may calculate the membership of each assembly state label set and each equipment state label set based on the lubrication failure degree and the fuzzy comprehensive algorithm, and may determine the lubrication health state of the coal chemical equipment or its assembly based on the calculated membership.

[0128] Specifically, the lubrication determination module 630 may establish a first fuzzy matrix based on the lubrication failure degree for each assembly, determine a first weight vector based on the weight of each state parameter, and calculate the membership of each assembly to each assembly state label set according to the first fuzzy matrix and the first weight vector. In addition, the lubrication determination module 630 may establish a second fuzzy matrix based on the membership of each assembly to each assembly label set, determine a second weight vector based on the weight of each assembly's influence on the lubrication health state of the coal chemical equipment, and calculate the membership of the coal chemical equipment to each equipment state label set according to the second fuzzy matrix and the second weight vector.

[0129] The process of obtaining the first fuzzy matrix, the second fuzzy matrix, the first weight vector, the second weight vector and the process of calculating each degree of membership can be described above and will not be repeated here.

[0130] The lubrication determination module may also determine whether it is necessary to replace or replenish grease for at least one rotating component according to the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment.

[0131] Although not shown, according to an embodiment of the present disclosure, the lubrication determination device may further include a greasing control device, which may control the greasing or greasing of at least one rotating component according to the greasing or greasing result determined by the lubrication determination module 630. As an example, the greasing or greasing may be performed manually according to the determination result of the lubrication determination module (for example, greasing by a grease gun).

[0132] Taking the belt conveyor adopting the lubrication determination scheme of the present invention as an example, its specific lubrication information is shown in Table 2 below. In the case where the lubrication determination scheme of the present invention is not adopted, the lubrication amount of each lubrication point for 8 days is 200g, then the grease consumption of this point every 24 hours is 25g, which is converted into a volume of: 27ml / d (day). Using the lubrication determination strategy of the present invention, after the inspection data of many days are submitted, the program analysis and optimization show that the lubrication amount is: 3ml for 4 hours, then the grease consumption for 24 hours is: 18ml / d. It can be seen that after using the lubrication determination strategy of the present invention, first the grease replenishment cycle changes, and the grease consumption is reduced by about 30%, but the lubrication health status of the coal chemical equipment and assembly has not deteriorated. In addition, through the comparison of lubrication effects, using the lubrication determination scheme of the present invention, as new grease is injected regularly, the waste grease in the bearing cavity is intermittently discharged from the oil drain port of the bearing seat. The discharged grease is dark black in nature, and the lubrication effect is better than that of manual lubrication. This indicates that when the fat is replaced, the old fat has changed color, reflecting the timeliness of the fat replacement and the accuracy of the judgment.

[0133] Table 2

[0134]

[0135] The design method according to the embodiment of the present disclosure can be executed by a processor and can be written as a corresponding computer program or code. The design method, device, etc. according to the embodiment of the present disclosure have been described above with reference to the accompanying drawings. However, it should be understood that the devices and modules shown in the accompanying drawings can be configured as software, hardware, firmware or any combination of the above items to perform specific functions. For example, these systems and modules may correspond to dedicated integrated circuits, pure software codes, or modules that combine software and hardware. In addition, one or more functions implemented by these devices and modules may also be uniformly executed by components in physical entity devices (for example, processors, clients, servers, etc.).

[0136] The instructions stored in the above-mentioned computer-readable storage medium can be executed in an environment deployed in computer devices such as a client, a host, a proxy device, a server, etc. It should be noted that the instructions can also be used to execute additional steps in addition to the above-mentioned steps or to perform more specific processing when executing the above-mentioned steps. The contents of these additional steps and further processing have been mentioned in the description of relevant modules, methods and devices with reference to the accompanying drawings, so they will not be repeated here to avoid repetition.

[0137] It should be noted that the control method and control device according to the embodiments of the present disclosure can completely rely on the operation of computer programs or instructions to realize the corresponding functions, that is, each device corresponds to each step in the functional architecture of the computer program, so that the entire system is called through a special software package (for example, lib library) to realize the corresponding function.

[0138] On the other hand, when the device or system is implemented in software, firmware, middleware or microcode, the program code or code segment for performing the corresponding operation can be stored in a computer-readable medium such as a storage medium, so that at least one processor or at least one computing device can perform the corresponding operation by reading and running the corresponding program code or code segment. In addition, the computer-readable medium or storage medium can cause the processor to execute the above-mentioned lubrication determination method when the computer program is executed by the processor.

[0139] For example, according to an exemplary embodiment of the present disclosure, a computer device including a readable medium storing computer program instructions may be provided, wherein when the instructions are executed by at least one computing device, the at least one computing device is prompted to perform at least one of the above steps.

[0140] According to an embodiment of the present disclosure, a computer-readable storage medium is provided, which stores instructions or programs. When the instructions or programs are executed by a processor, the processor is prompted to execute the above lubrication determination method.

[0141] Computer-readable storage media include non-transitory computer-readable storage media, for example, magnetic media such as floppy disks and tapes, optical media (including compact disks (CD) ROMs and DVD ROMs), magneto-optical media such as floppy disks, hardware devices such as ROMs, RAMs, and flash memories designed to store and execute program commands. The program commands include language codes executable by a computer using an interpreter and machine language codes generated by a compiler. The above-mentioned hardware devices can be implemented by one or more software modules for performing the operations of the various embodiments of the present disclosure.

[0142] The lubrication determination method and device according to the embodiments of the present disclosure can accurately determine the lubrication health status of coal chemical equipment and its assemblies.

[0143] The lubrication determination method and apparatus according to the embodiments of the present disclosure can make accurate grease replenishment and grease replacement decisions based on the determination result of the lubrication health status.

[0144] The lubrication determination method and device according to the embodiments of the present disclosure quantify the lubrication health status of coal chemical equipment, providing a basis for the subsequent design of the lubrication process.

[0145] Although some exemplary embodiments of the present disclosure have been shown and described, it will be understood by those skilled in the art that modifications may be made to these embodiments without departing from the principles and spirit of the present disclosure, the scope of which is defined by the claims and their equivalents; for example, the technical features of different embodiments may be combined.

Claims

1. A method for determining lubrication of coal chemical equipment, characterized in that: The coal chemical equipment includes at least one assembly, each assembly includes at least one rotating component, the rotating component includes a bearing, and the lubrication determination method includes: obtaining a plurality of state parameter values ​​of the at least one rotating component of each assembly; determining a lubrication failure degree for each assembly according to the plurality of state parameter values; The lubrication failure degree and the fuzzy comprehensive algorithm are used to determine the lubrication health state of each assembly and / or the lubrication health state of the coal chemical equipment.

2. The method for determining lubrication of coal chemical equipment according to claim 1, characterized in that: The steps of determining the lubrication health state of each assembly and / or the lubrication health state of the coal chemical equipment by using the lubrication failure degree and the fuzzy comprehensive algorithm include: Using the fuzzy comprehensive algorithm based on the lubrication failure degree, the membership degree of each assembly state label set is obtained for each assembly; By using a fuzzy comprehensive algorithm based on the membership of each assembly to each assembly status label set, the membership of each equipment status label set is obtained for the coal chemical equipment. The membership degree of each assembly status tag set reflects the lubrication health status of each assembly, and the membership degree of each equipment status tag set reflects the lubrication health status of the coal chemical equipment.

3. The method for determining lubrication of coal chemical equipment according to claim 2, characterized in that: The lubrication determination method further includes: determining whether it is necessary to replace or replenish grease for the at least one rotating component according to the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment.

4. The method for determining lubrication of coal chemical equipment according to claim 3, characterized in that: The step of determining whether it is necessary to replace or replenish grease for the at least one rotating component according to the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment comprises: In response to satisfying a first condition that the degree of membership corresponding to the first label among the degrees of membership of the coal chemical equipment to each equipment status label set is the largest and the sum of the degree of membership corresponding to the second label and the degree of membership corresponding to the third label is greater than or equal to a first preset threshold, determining that the at least one rotating component needs to be regreased; In response to the first condition not being satisfied and the second condition being satisfied that the degree of membership corresponding to the first label among the memberships of the predetermined assembly in the at least one assembly to each assembly status label set is the largest and the sum of the degree of membership corresponding to the second label and the degree of membership corresponding to the third label is greater than or equal to a second preset threshold, it is determined that the grease replenishing period of at least one rotating part of the predetermined assembly needs to be shortened, wherein the second preset threshold is less than the first preset threshold, and the lubrication health status of the coal chemical equipment or the lubrication health status of the predetermined assembly is enhanced in the order of the first label, the second label and the third label.

5. The method for determining lubrication of coal chemical equipment according to claim 4, characterized in that: The step of determining whether it is necessary to change or replenish grease for at least one rotating component based on the lubrication health status of each assembly and / or the lubrication health status of the coal chemical equipment also includes: in response to the first condition and the second condition not being met, determining that it is not necessary to change or replenish grease for at least one rotating component.

6. The method for determining lubrication of coal chemical equipment according to claim 2, characterized in that: The step of obtaining the degree of membership of each assembly state label set for each assembly by using the fuzzy comprehensive algorithm based on the lubrication failure degree includes: Establishing a first fuzzy matrix based on the lubrication failure degree for each assembly; Determine a first weight vector based on the weight of each state parameter; The membership degree of each assembly to each assembly state label set is calculated according to the first fuzzy matrix and the first weight vector.

7. The method for determining lubrication of coal chemical equipment according to claim 6, characterized in that: The step of obtaining the degree of membership of each equipment state label set for the coal chemical equipment by using the fuzzy comprehensive algorithm based on the degree of membership of each assembly to each assembly state label set comprises: A second fuzzy matrix is ​​established according to the membership of each assembly to each assembly label set; Determining a second weight vector based on the weight of each assembly's influence on the lubrication health state of the coal chemical equipment; The membership of the coal chemical equipment to each equipment status label set is calculated according to the second fuzzy matrix and the second weight vector.

8. The lubrication determination method for coal chemical equipment according to any one of claims 3 to 7, characterized in that: The step of determining the lubrication failure degree for each assembly according to the plurality of state parameter values ​​comprises: Calculate the first lubrication failure degree for each assembly based on the factory allowable value, actual detection value and limit value of each state parameter, or A second lubrication failure degree for each assembly is calculated according to a corresponding weight coefficient obtained from the operation history records.

9. The method for determining lubrication of coal chemical equipment according to claim 8, characterized in that: The step of determining the lubrication failure degree for each assembly based on the multiple state parameter values ​​also includes: determining any one of the first lubrication failure degree and the second lubrication failure degree as the lubrication failure degree for each assembly, or determining the average value of the first lubrication failure degree and the second lubrication failure degree as the lubrication failure degree for each assembly.

10. The method for determining lubrication of coal chemical equipment according to claim 9, characterized in that: The coal chemical equipment includes a crusher, a coal mill, a circulating fan, a briquetting machine, an activation furnace, a belt conveyor or a water pump.

11. The method for determining lubrication of coal chemical equipment according to claim 10, characterized in that: The lubrication determination method also includes, in response to determining that the roller bearing of the briquetting machine needs to be greased, controlling the valve on the grease filling pipeline connecting the roller bearing seat serving as the lubrication point of the briquetting machine and the grease container to be closed, so that the grease in the grease container flows into the roller bearing seat.

12. A lubrication determination device for coal chemical equipment, characterized in that: The lubrication determination device comprises a processor and a memory, wherein the memory stores instructions or programs, and when the instructions or programs are executed by the processor, the processor is prompted to execute the lubrication determination method according to any one of claims 1 to 11.

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