Method, processor, and storage medium for determining a health of a blender host

Abstract

This invention provides a method, processor, and storage medium for determining the health status of a mixing host, belonging to the field of engineering machinery technology. The method includes: determining the first number of times the lubricating oil pump system fails within a preset sample period; determining a first score based on the first number and preset failure parameters; determining the actual standard operating condition number of failures for vulnerable components; determining the remaining lifespan of vulnerable components based on the actual and estimated standard operating condition number of failures; determining a second score based on the remaining lifespan of all vulnerable components; determining the time of material accumulation without cleaning the mixing host; determining a third score based on the material accumulation without cleaning time and a preset material accumulation tolerance parameter; monitoring the material accumulation without cleaning time of the mixing host in real time; and determining the total score of the mixing host based on the first, second, and third scores, thereby determining the health status of the mixing host based on the total score. This comprehensive assessment of the health status of the mixing host ensures the production quality of the mixing host.

Description

Technical Field

[0001] This invention relates to the field of engineering machinery technology, and more specifically to a method, processor, and storage medium for determining the health status of a mixing host. Background Technology

[0002] In the concrete batching plant production process, the mixing unit is a key piece of equipment. The mixing unit refers to the device used to mix and blend various raw materials. The condition of the mixing unit directly affects the production efficiency and quality of the concrete. Some conventional methods involve monitoring the health status of individual vulnerable parts of the mixing unit to assess its overall health. While this can reflect the mixing unit's condition to some extent, it ignores the influence of all vulnerable parts and is not a comprehensive assessment. Therefore, a comprehensive evaluation of the mixing unit's health status is necessary to ensure its efficient operation. Summary of the Invention

[0003] To address the aforementioned shortcomings in the prior art, the purpose of this invention is to provide a method, processor, and storage medium for determining the health status of a mixing host.

[0004] To achieve the above objectives, a first aspect of the present invention provides a method for determining the health status of a mixing host, comprising:

[0005] Determine the first number of times the lubricating oil pump system fails within a preset sample period;

[0006] The first score is determined based on the initial count and preset fault parameters;

[0007] Determine the actual standard operating condition tank load value for vulnerable components;

[0008] The remaining life of vulnerable components is determined based on the actual standard operating condition tank count and the estimated standard operating condition tank count.

[0009] The second score is determined based on the remaining lifespan of all vulnerable components;

[0010] Determine the duration of the accumulated material in the mixing unit that has not been cleaned;

[0011] The third score is determined based on the time of unresolved material accumulation and the preset material accumulation tolerance parameter;

[0012] The total score of the mixing unit is determined based on the first score, the second score, and the third score, and the health status of the mixing unit is determined based on the total score.

[0013] In this embodiment of the invention, determining the total score of the mixing host based on the first score, the second score, and the third score includes:

[0014] Determine the first total number of failures in the lubricating oil pump system;

[0015] Determine the second total number of times the mixing host failed due to wear of vulnerable components and the third total number of times it failed due to uncleaned accumulated material;

[0016] Determine the sum of the first total number of times, the second total number of times, and the third total number of times;

[0017] The first weight of the first score, the second weight of the second score, and the third weight of the third score are determined based on the proportions of the first total number of times, the second total number of times, and the third total number of times in the total number of times, respectively.

[0018] The total score of the mixing host is obtained by multiplying the first score by the first weight, the second score by the second weight, and the third score by the third weight.

[0019] In this embodiment of the invention, the sample period includes multiple sampling time points, and determining the first number of times the lubricating oil pump system fails within a preset sample period includes:

[0020] Obtain the first pressure value collected by the pressure sensor of the lubricating oil pump system within the preset data acquisition period corresponding to the sampling time point;

[0021] Obtain the first flow count value collected by the flow sensor of the lubricating oil pump system within a preset data acquisition period;

[0022] The first pulse information and the first flow rate are determined based on the first pressure value and the first flow count value, respectively, for the preset data acquisition cycle.

[0023] The state characterization value of the lubricating oil pump system is determined based on the first pulse information, the first flow velocity, and the preset reference coefficient.

[0024] Determine whether a fault exists at the sampling time point based on the state characterization value and the preset state table;

[0025] The number of sampling time points with faults within the sample period is used as the first count.

[0026] In this embodiment of the invention, it further includes:

[0027] Obtain the second pressure value collected by the pressure sensor within a preset training period, wherein the stirring host is in standard operating condition during the training period, and the duration of the training period is equal to the duration of the sample period.

[0028] Obtain the second flow count value collected by the flow sensor during the training period;

[0029] The second pulse information and the second flow rate are determined based on the second pressure value and the second flow count value, respectively, for the training cycle.

[0030] The preset reference coefficient is determined based on the second pulse information and the second flow velocity.

[0031] In this embodiment of the invention, the number of sampling time points with faults within the sample period is used as the first count, including:

[0032] Based on the state characterization value and the preset state table, the fault type at the sampling time point is determined, including pump core failure, oil shortage and pump tube failure.

[0033] The number of sampling time points during the sample period where pump core failure, oil shortage, and pump pipe failure occurred were respectively taken as the number of pump core failures, the number of oil shortages, and the number of pump pipe failures.

[0034] The sum of the number of pump core failures, the number of oil shortages, and the number of pump pipe failures is taken as the first number;

[0035] The first score is determined based on the initial count and preset fault parameters, including:

[0036] The pump core score is determined based on the number of pump core failures and the preset pump core parameters in the preset failure parameters.

[0037] The oil shortage score is determined based on the number of oil shortage occurrences and the preset oil shortage parameter in the preset fault parameters.

[0038] The pump pipe score is determined based on the number of pump pipe failures and the preset pump pipe parameters in the preset failure parameters.

[0039] The sum of the pump core score, the oil shortage score, and the pump pipe score is used as the first score.

[0040] In this embodiment of the invention, it further includes:

[0041] Determine the standard number of pump core failures, the standard number of oil shortages, and the standard number of pump pipe failures in a lubricating oil pump system under standard operating conditions within a preset training period. The duration of the training period is equal to the duration of the sample period.

[0042] Determine the first maximum number of alarms within the training cycle when the lubricating oil pump system is in a pump core failure condition.

[0043] The standard number of pump core failures and the first maximum number of alarms are used as preset pump core parameters;

[0044] Determine the second maximum number of alarms during the training cycle when the lubricating oil pump system is in a low-oil condition;

[0045] Use the standard number of oil shortages and the second maximum number of alarms as preset oil shortage parameters;

[0046] The third maximum number of alarms within the training cycle when the lubricating oil pump system is in a pump pipe failure condition is determined.

[0047] The standard number of pump tube failures and the third maximum number of alarms are used as preset pump tube parameters.

[0048] In this embodiment of the invention, determining the actual standard operating condition tank count value of a vulnerable component includes:

[0049] Obtain mixing information, including mixing time and material type;

[0050] The actual standard operating condition tank count value of vulnerable components is determined based on the stirring information.

[0051] In this embodiment of the invention, it further includes:

[0052] Determine the material accumulation grade corresponding to the material accumulation of the mixing host;

[0053] Obtain the first uncleaned time corresponding to the material accumulation level falling within the preset tolerance range;

[0054] Tolerance parameters are determined based on all first uncleaned times;

[0055] Obtain the estimated second uncleaned time that could trigger a malfunction in the mixing unit;

[0056] Unacceptable parameters are determined based on all second-uncleaned times;

[0057] The tolerance parameter and the intolerable parameter are used as the preset material accumulation tolerance parameter.

[0058] In this embodiment of the invention, it further includes:

[0059] The first score, second score, third score, and total score are output through the display device.

[0060] A second aspect of the present invention provides a processor configured to perform a method for determining the health status of a mixing host as described in the above embodiments.

[0061] A third aspect of the present invention provides a machine-readable storage medium storing instructions for causing a machine to perform a method for determining the health status of a mixing host as described in the above embodiments.

[0062] Through the above technical solution, the first number of times the lubricating oil pump system fails within a preset sample period is determined. Based on the first number and preset failure parameters, a first score is determined to monitor the health status of the lubricating oil pump of the mixing host in real time, providing a reference for the health status of the mixing host. The actual standard operating condition tank number of vulnerable components is determined. Based on the actual standard operating condition tank number and the estimated standard operating condition tank number, the remaining life of vulnerable components is determined. Based on the remaining life of all vulnerable components, a second score is determined to monitor the remaining life of vulnerable components of the mixing host in real time, providing a component status reference for the health status of the mixing host. The time of material accumulation without cleaning of the mixing host is determined. Based on the time of material accumulation without cleaning and preset material accumulation tolerance parameters, a third score is determined to monitor the time of material accumulation without cleaning of the mixing host in real time, realizing the consideration of material accumulation in the mixing host, further improving the comprehensiveness of the judgment of the health status of the mixing host. The total score of the mixing host is determined according to the first, second, and third scores, and the health status of the mixing host is determined according to the total score. The system combines multiple factors to assess the health status of the mixing unit in real time, eliminating the need for manual inspections and providing a clear output of the mixing unit's current health status. This improves the timeliness of mixing unit maintenance and ensures that the mixing unit is always in a healthy and efficient state, thereby guaranteeing production quality.

[0063] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0064] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0065] Figure 1 This is a flowchart illustrating a method for determining the health status of a mixing host according to an embodiment of the present invention.

[0066] Figure 2 This is a schematic representation of a preset state according to an embodiment of the present invention. Detailed Implementation

[0067] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0068] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0069] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0070] Figure 1 This is a schematic flowchart illustrating a method for determining the health status of a mixing unit according to an embodiment of the present invention. Figure 1 As shown in the embodiment of the present invention, a method for determining the health status of a mixing host is provided. Taking the application of this method to a processor as an example, the method may include the following steps:

[0071] Step S100: Determine the first number of times the lubricating oil pump system fails within a preset sample period;

[0072] In this embodiment, it should be noted that the health status of the mixing host is determined based on the operating data or status data of the mixing host from the time of manufacture to the determined time or the most recent period of the mixing host. The sample period includes the time range of data generation corresponding to the analysis of the operating data or status data of the mixing host. The duration of the sample period can be adaptively adjusted according to the actual situation, for example, one hour. It is understood that the time from the time of manufacture to the determined time of the mixing host may include one or more sample periods. If multiple sample periods are included, the current health status of the mixing host is determined based on the data corresponding to the sample period closest to the current time. The lubricating oil pump system includes pressure sensors and flow sensors, which are installed in the various lubrication pipes of the mixing host. When the lubricating oil pump system fails, it will affect the health status of the mixing host. The first count includes the number of times the lubricating oil pump system fails within the preset sample period.

[0073] Step S200: Determine the first score based on the first count and preset fault parameters;

[0074] It should be noted that the preset fault parameters include pre-determined reference values ​​used to assess the health status of the lubricating oil pump system. The first score characterizes the health status of the lubricating oil pump system. After assessing the health status of the lubricating oil pump system, the health status of the mixing host, which includes the lubricating oil pump system, can be further assessed.

[0075] Step S300: Determine the actual standard operating condition tank count value for vulnerable components;

[0076] In this embodiment, it should be noted that the mixing host includes at least one consumable component. A consumable component refers to a part of the mixing host that will wear out during the production process due to material friction, such as blades, liners, and mixing arms. The health condition of the consumable component directly affects the health condition of the mixing host. A standard mixing cycle is defined as one mixing process using a selected material as the raw material and a selected standard mixing time as the mixing time. The actual standard mixing cycle value is obtained by converting the material and mixing time in the current production order. Determining the actual standard mixing cycle value of a consumable component allows for an estimation of its service life, and thus can reflect the health condition of the mixing host to a certain extent.

[0077] Step S400: Determine the remaining life of vulnerable components based on the actual standard operating condition tank count and the estimated standard operating condition tank count;

[0078] It should be noted that the estimated standard operating condition tank count includes an estimate of the number of standard operating condition tank counts that the vulnerable components can complete. The actual standard operating condition tank counts for each production run of the vulnerable components of the mixing host from the time of manufacture to the current time are accumulated. Based on the accumulated value and the estimated standard operating condition tank count, the remaining lifespan of the vulnerable components is determined. In one embodiment, the remaining lifespan of the vulnerable components can be calculated using the following formula:

[0079] Remaining service life = [1 - Cumulative actual standard condition tank load count / Estimated standard condition tank load count] × 100%

[0080] Understandably, the remaining lifespan of a vulnerable component will decrease from 100% to 0% as the mixing unit operates. When the vulnerable component is damaged and replaced by a new component, the remaining lifespan will return to 100%.

[0081] Step S500: Determine the second score based on the remaining lifespan of all vulnerable components;

[0082] It should be noted that the second score is based on the reflection of the health status of the mixing host by the vulnerable components. The mixing host includes at least one vulnerable component. When there is only one vulnerable component, the second score is determined based on the remaining life of the vulnerable component. When there are multiple vulnerable components, the score of each vulnerable component is determined based on the remaining life of each vulnerable component. The scores of all vulnerable components are added together to obtain the second score.

[0083] Step S600: Determine the time when the accumulated material in the mixing unit has not been cleaned;

[0084] In this embodiment, it should be noted that a certain amount of material will accumulate during the production process of the mixing host. This material needs to be cleaned regularly to prevent malfunctions caused by excessive accumulation. The time during which the material has not been cleaned includes the time elapsed since the last cleaning of the mixing host.

[0085] Step S700: Determine the third score based on the accumulated material not being cleaned and the preset accumulated material tolerance parameter;

[0086] It should be noted that the preset material accumulation tolerance parameter includes a pre-determined reference value used to judge the material accumulation situation of the mixing unit. The third score characterizes the reflection of the health status of the mixing unit based on the material accumulation situation.

[0087] Step S800: Determine the total score of the mixing host based on the first score, the second score, and the third score, so as to determine the health status of the mixing host based on the total score.

[0088] In this embodiment, the total score of the mixing host is determined by comprehensively evaluating the health status of the mixing host by assigning first, second, and third scores corresponding to the lubricating oil pump system, vulnerable components, and the time spent without cleaning accumulated material. It should be noted that in practical applications, the frequency of failures of the lubricating oil pump system, vulnerable components, and the time spent without cleaning accumulated material varies; that is, the impact of these factors on the health status of the mixing host is not consistent. In this embodiment, different weights are assigned to the first, second, and third scores to characterize the degree of influence of different scores on the mixing host.

[0089] Specifically, the total score of the mixing unit is determined based on the first score, the second score, and the third score, including:

[0090] Determine the first total number of failures in the lubricating oil pump system;

[0091] Determine the second total number of times the mixing host failed due to wear of vulnerable components and the third total number of times it failed due to uncleaned accumulated material;

[0092] Determine the sum of the first total number of times, the second total number of times, and the third total number of times;

[0093] The first weight of the first score, the second weight of the second score, and the third weight of the third score are determined based on the proportions of the first total number of times, the second total number of times, and the third total number of times in the total number of times, respectively.

[0094] The total score of the mixing host is obtained by multiplying the first score by the first weight, the second score by the second weight, and the third score by the third weight.

[0095] In this embodiment, it should be noted that the first total number of failures includes the total number of times the lubricating oil pump system has failed since the product was manufactured; the second total number of failures includes the total number of times the mixing host has failed due to wear of vulnerable components since the product was manufactured; and the third total number of failures includes the total number of times the mixing host has failed due to uncleaned material since the product was manufactured. The first, second, and third total numbers are added together to obtain the sum of the numbers. The percentage of the first total number of failures in the sum of the numbers is used as the first weight of the first score; the percentage of the second total number of failures in the sum of the numbers is used as the second weight of the second score; and the percentage of the third total number of failures in the sum of the numbers is used as the third weight of the third score.

[0096] In one embodiment, the lubricating oil pump system failures include pump core failure, oil shortage, and pump pipe failure. If there are n vulnerable components, the total number of failures can be calculated using the following formula:

[0097]

[0098] Among them, G 总 G is the sum of the exponents; 易损元件i G represents the total number of failures of the i-th vulnerable component, which is also the second total number; 泵芯 G represents the total number of pump core failures. 泵管 G represents the total number of pump pipe failures. 缺油 G represents the total number of times oil was lacking. 泵芯 G 泵管 and G 缺油 The sum is the first total number of times; G 清理 This is the total number of times the mixing host malfunctioned due to accumulated material not being cleaned, i.e., the third total number of times.

[0099] The weights assigned to the lubricating oil pump system, vulnerable components, and accumulated material cleaning can be calculated using the following formula:

[0100]

[0101] Among them, B 易损元件i This represents the weight of the i-th vulnerable component;

[0102]

[0103] Among them, B 泵芯 This indicates the weight of the pump core in the lubricating oil pump system;

[0104]

[0105] Among them, B 油泵 This indicates the weight of the pump pipes in the lubricating oil pump system;

[0106]

[0107] Among them, B 缺油 This indicates the weight of oil shortage in the lubrication pump system;

[0108]

[0109] Among them, B 清理 This indicates the weight of the accumulated material that has not been cleaned up.

[0110] It is understandable that the closer the data of the mixing host is to the current moment, the better it reflects the current health status of the mixing host. In one embodiment, when determining the first total number of times, the second total number of times, and the third total number of times, a weighted statistical method is adopted. For example, the number of failures in the past year accounts for 80%, and the proportion of data from more than one year that has been iterated into history as historical data accounts for 20%. If the number of failures of the lubricating oil pump system in the most recent year is 10, and the number of failures of the lubricating oil pump system from more than one year is 20, then the first total number of times = 10 × 80% + 20 × 20% = 12 times.

[0111] The method described above for determining the health status of the mixing host involves determining the first number of times the lubricating oil pump system fails within a preset sample period, determining a first score based on the first number and preset failure parameters, and monitoring the health status of the lubricating oil pump in real time to provide a reference for assessing the health status of the mixing host. It also involves determining the actual standard operating condition tank count of vulnerable components, determining the remaining lifespan of vulnerable components based on the actual and estimated standard operating condition tank counts, determining a second score based on the remaining lifespan of all vulnerable components, and monitoring the remaining lifespan of vulnerable components in real time to provide a component status reference for assessing the health status of the mixing host. Furthermore, it involves determining the time of material accumulation without cleaning in the mixing host, determining a third score based on the time of material accumulation without cleaning and preset material accumulation tolerance parameters, and monitoring the time of material accumulation without cleaning in real time to consider the material accumulation situation in the mixing host, further improving the comprehensiveness of the assessment of the mixing host's health status. Finally, it involves determining the total score of the mixing host based on the first, second, and third scores to determine the overall health status of the mixing host. The system combines multiple factors to assess the health status of the mixing unit in real time, eliminating the need for manual inspections and providing a clear output of the mixing unit's current health status. This improves the timeliness of mixing unit maintenance and ensures that the mixing unit is always in a healthy and efficient state, thereby guaranteeing production quality.

[0112] In one embodiment, the sample period includes multiple sampling time points, and determining the first number of times the lubricating oil pump system fails within a preset sample period includes:

[0113] Obtain the first pressure value collected by the pressure sensor of the lubricating oil pump system within the preset data acquisition period corresponding to the sampling time point;

[0114] Obtain the first flow count value collected by the flow sensor of the lubricating oil pump system within a preset data acquisition period;

[0115] The first pulse information and the first flow rate are determined based on the first pressure value and the first flow count value, respectively, for the preset data acquisition cycle.

[0116] The state characterization value of the lubricating oil pump system is determined based on the first pulse information, the first flow velocity, and the preset reference coefficient.

[0117] Determine whether a fault exists at the sampling time point based on the state characterization value and the preset state table;

[0118] The number of sampling time points with faults within the sample period is used as the first count.

[0119] In this embodiment, it should be noted that the preset data acquisition period is the time range of the data involved when analyzing whether a fault has occurred in the lubricating oil pump system, for example, one hour. The sampling time point is preset to correspond to the preset data acquisition period. For example, if the preset data acquisition period associated with the sampling time point 9:10 is one hour before 9:10, then the sampling time point 9:10 corresponds to the time range of 8:10-9:10. The sample period includes multiple sampling time points. For example, if the sample period is 30 minutes and the preset data acquisition period is 1 hour, then in application, when the sample period is 9:00-9:30, the three sampling time points of 9:10, 9:20, and 9:30 correspond to the preset data acquisition periods of 8:10-9:10, 8:20-9:20, and 8:30-9:30, respectively. The preset data acquisition period includes multiple acquisition cycles, each with a short duration, for example, 50ms. During the data acquisition cycle, the pressure sensor and flow sensor will collect pressure values ​​and flow count values ​​from each lubrication pipeline in the lubricating oil pump system. The pressure value is the instantaneous pressure value at the moment of acquisition, and the flow count value is a Boolean value indicating whether flow was detected within the current acquisition cycle. The first pressure value includes the pressure values ​​corresponding to all acquisition cycles within the preset data acquisition cycle; the first flow count value includes the flow count values ​​corresponding to all acquisition cycles within the preset data acquisition cycle.

[0120] The first pulse information includes the pressure value during the stable period, pulse size, and pulse duration within the preset data acquisition cycle. A pulse refers to the start of a sharp rise in pressure, reaching a peak, then a sharp drop before returning to a stable state; this constitutes a complete pulse. The duration of the pulse is its pulse time. The transition period between two pulses is the stable period. The pulse size is the difference between the maximum and minimum pressure values ​​within the pulse period. The conditions for entering the pulse period are: the instantaneous pressure value is within the pulse coefficient range, and the pressure difference with the previous instantaneous pressure value is greater than the rise coefficient. If the pressure exceeds the upper limit of the range but no sharp rise is detected, the upper limit of the range is used as the start of the pulse period. The conditions for entering the stable period are: the instantaneous pressure value is within the pulse coefficient range, and the pressure difference with the previous instantaneous pressure value is greater than the rise coefficient. If the pressure is below the lower limit of the range and no sharp drop is detected, the lower limit of the range is used as the start of the stable period.

[0121] Flow velocity is represented by the sum of the number of times the flow count is true within a time period, multiplied by the flow coefficient, and divided by the duration of that time period. The flow coefficient is determined based on experience or extensive testing and can be changed in real time according to actual conditions. The flow velocity for that data collection period is obtained by summing the number of times the flow count is true within the collection period, multiplying by the flow coefficient, and then dividing this product by the duration of the collection period. The average flow velocity across all collection periods included in the preset data collection period is used as the first flow velocity.

[0122] After determining the first pulse information and the first flow rate, the processor will determine the state characterization value of the lubricating oil pump system based on the first pulse information, the first flow rate, and the preset reference coefficient. Then, based on the state characterization value and the preset state table, it will determine whether there is a fault at the sampling time point, and take the number of sampling time points with faults within the sample period as the first count.

[0123] Specifically, methods for determining the health status of the mixing unit also include:

[0124] Obtain the second pressure value collected by the pressure sensor within a preset training period, wherein the stirring host is in standard operating condition during the training period, and the duration of the training period is equal to the duration of the sample period.

[0125] Obtain the second flow count value collected by the flow sensor during the training period;

[0126] The second pulse information and the second flow rate are determined based on the second pressure value and the second flow count value, respectively, for the training cycle.

[0127] The preset reference coefficient is determined based on the second pulse information and the second flow velocity.

[0128] It should be noted that the mixing unit operates under standard conditions during the training period, and the duration of the training period is equal to the duration of the sample period. Standard operating conditions include conditions where the lubrication pump system is functioning normally, vulnerable components are in good condition, and the mixing unit is clean. The preset reference coefficient represents the reference coefficient obtained during the mixing unit's training period. The training period includes multiple acquisition cycles; the second pressure value includes the pressure values ​​corresponding to all acquisition cycles within the training period; the second flow count value includes the flow count values ​​corresponding to all acquisition cycles within the training period. The second pulse information includes the pressure value, pulse magnitude, and pulse duration during the stable period corresponding to the training period. The second flow rate includes the flow rate within the training period.

[0129] The preset reference coefficients include pressure characterization coefficient, pulse size characterization coefficient, pulse duration characterization coefficient, and flow velocity characterization coefficient. Specifically, the pressure characterization coefficient is obtained by summing and averaging the differences between the maximum and minimum pressure values ​​corresponding to each pulse plateau period within the training cycle; the pulse size characterization coefficient is obtained by summing and averaging the differences between the maximum and minimum pressure values ​​within each pulse period within the training cycle, and then adding twice the standard deviation of the differences; the pulse duration characterization coefficient is obtained by summing and averaging the pulse durations of all pulses within the training cycle, and then adding twice the standard deviation of the pulse durations; the flow velocity characterization coefficient is obtained by summing and averaging the flow velocities across all complete cycles within the training cycle, and then adding twice the standard deviation of the flow velocity in a single complete cycle. A complete cycle includes one pulse period and one plateau period.

[0130] In one embodiment, the state representation value can be determined by the following formula:

[0131]

[0132] Where Z represents the state characterization value, n represents the ratio of the preset data acquisition period to the acquisition period, i.e., the number of acquisitions within the preset data acquisition period; i represents the data sequence number, i∈[1,n], representing the first to the nth data sets acquired within the preset data acquisition period; A i This represents the instantaneous pressure value collected during the pulse steady period within the preset data acquisition cycle, where i∈[1,n]; This represents the average pulse size within a preset data acquisition period; This represents the average pulse duration within a preset data acquisition period; k1 represents the average flow rate collected within the preset data acquisition period; k2 is the pressure characterization coefficient; k3 is the pulse size characterization coefficient; k4 is the pulse duration characterization coefficient; and k5 is the flow rate characterization coefficient.

[0133] refer to Figure 2, in the preset state table, different Z-value intervals correspond to different states of the lubricating oil pump system. Specifically, when Z < Z1, it indicates that the lubricating oil pump system is in the state of pump core failure; when it is within the Z1 - Z2 interval, it indicates that the lubricating oil pump system is in the state of oil shortage; when it is within the Z2 - Z3 interval, it indicates that the lubricating oil pump system is in the normal operation state; when Z > Z3, it indicates that the lubricating oil pump system is in the state of pump pipe failure. Among them, the calculation methods of Z1, Z2, and Z3 are as follows:

[0134]

[0135]

[0136]

[0137] Among them, all parameters are calculated from the data collected under the standard working conditions of the lubricating oil pump system during the training period. Specifically, the calculation methods include:

[0138] Average pressure: Obtained by averaging the instantaneous pressure values during the pulse steady period collected within the training period;

[0139] Minimum pressure: Calculate the average value and standard deviation of the instantaneous pressure values during the pulse steady period collected within the training period, and subtract 2 times the standard deviation from the average value to obtain the minimum pressure;

[0140] Maximum pressure: Calculate the average value and standard deviation of the instantaneous pressure values during the pulse steady period collected within the training period, and add 2 times the standard deviation to the average value to obtain the maximum pressure;

[0141] Average pulse size: Obtained by averaging the pulse sizes during the pulse period collected within the training period;

[0142] Minimum pulse size: Calculate the average value and standard deviation of the pulse sizes during the pulse period collected within the training period, and subtract 2 times the standard deviation from the average value to obtain the minimum pulse size;

[0143] Maximum pulse size: Calculate the average value and standard deviation of the pulse sizes during the pulse period collected within the training period, and add 2 times the standard deviation to the average value to obtain the maximum pulse size;

[0144] Average pulse time: Obtained by averaging the pulse times during the pulse period collected within the training period;

[0145] Minimum pulse time: Calculate the average value and standard deviation of the pulse sizes during the pulse period collected within the training period, and subtract 2 times the standard deviation from the average value to obtain the minimum pulse time;

[0146] Average flow rate: Obtained by averaging the flow rates during the complete period collected within the training period;

[0147] Minimum flow rate: Calculate the average and standard deviation of the flow rates collected for the complete cycle during the training period, and subtract twice the standard deviation from the average to obtain the minimum flow rate.

[0148] In this embodiment, the data collected during the sample period is combined with the preset reference coefficient determined during the training period to obtain the state characterization value of the lubricating oil pump system. This state characterization value is then used to determine whether the lubricating oil pump system has a fault, and if a fault exists, to determine the type of fault. This achieves automated fault diagnosis, reduces manual intervention, and improves the efficiency and accuracy of fault determination in the lubricating oil pump system.

[0149] In one embodiment, the number of sampling time points with faults within the sample period is used as the first count, including:

[0150] Based on the state characterization value and the preset state table, the fault type at the sampling time point is determined, including pump core failure, oil shortage and pump tube failure.

[0151] The number of sampling time points during the sample period where pump core failure, oil shortage, and pump pipe failure occurred were respectively taken as the number of pump core failures, the number of oil shortages, and the number of pump pipe failures.

[0152] The sum of the number of pump core failures, the number of oil shortages, and the number of pump pipe failures is taken as the first number;

[0153] The first score is determined based on the initial count and preset fault parameters, including:

[0154] The pump core score is determined based on the number of pump core failures and the preset pump core parameters in the preset failure parameters.

[0155] The oil shortage score is determined based on the number of oil shortage occurrences and the preset oil shortage parameter in the preset fault parameters.

[0156] The pump pipe score is determined based on the number of pump pipe failures and the preset pump pipe parameters in the preset failure parameters.

[0157] The sum of the pump core score, the oil shortage score, and the pump pipe score is used as the first score.

[0158] In this embodiment, it should be noted that after determining the state characterization value, the state characterization value is compared with a preset state table to determine the current state of the lubricating oil pump system. The lubricating oil pump system state corresponding to all sampling time points included in the sample period is determined. The number of sampling time points with pump core failure is taken as the pump core failure occurrence count; the number of sampling time points with oil shortage is taken as the oil shortage occurrence count; and the number of sampling time points with pump pipe failure is taken as the pump pipe failure occurrence count. Then, the pump core failure occurrence count, oil shortage occurrence count, and pump pipe failure count are summed to obtain the first count.

[0159] The preset fault parameters include preset pump core parameters, preset oil shortage parameters, and preset pump tube parameters. Specifically, the processor will determine the pump core score based on the number of pump core failures and the preset pump core parameters in the preset fault parameters, determine the oil shortage score based on the number of oil shortages and the preset oil shortage parameters in the preset fault parameters, and determine the pump tube score based on the number of pump tube failures and the preset pump tube parameters in the preset fault parameters.

[0160] Specifically, methods for determining the health status of the mixing unit also include:

[0161] Determine the standard number of pump core failures, the standard number of oil shortages, and the standard number of pump pipe failures in a lubricating oil pump system under standard operating conditions within a preset training period. The duration of the training period is equal to the duration of the sample period.

[0162] Determine the first maximum number of alarms within the training cycle when the lubricating oil pump system is in a pump core failure condition.

[0163] The standard number of pump core failures and the first maximum number of alarms are used as preset pump core parameters;

[0164] Determine the second maximum number of alarms during the training cycle when the lubricating oil pump system is in a low-oil condition;

[0165] Use the standard number of oil shortages and the second maximum number of alarms as preset oil shortage parameters;

[0166] The third maximum number of alarms within the training cycle when the lubricating oil pump system is in a pump pipe failure condition is determined.

[0167] The standard number of pump tube failures and the third maximum number of alarms are used as preset pump tube parameters.

[0168] It should be noted that the standard number of pump core failures includes the number of times the lubricating oil pump system under standard operating conditions experiences pump core failures within the training cycle; the standard number of oil shortages includes the number of times the lubricating oil pump system under standard operating conditions experiences oil shortages within the training cycle; and the standard number of pump pipe failures includes the number of times the lubricating oil pump system under standard operating conditions experiences pump pipe failures within the training cycle. When a pump core failure occurs in the lubricating oil pump system, the system will trigger an alarm. If the failure continues, the system will issue alarms according to the preset alarm frequency, and there will be multiple alarms within one training cycle. The pump core failure operating condition includes the operating condition where the lubricating oil pump system experiences a pump core failure; the first maximum alarm count includes the maximum number of alarms within one training cycle when the lubricating oil pump system is in the pump core failure operating condition; the oil shortage operating condition includes the operating condition where the lubricating oil pump system experiences an oil shortage; the second maximum alarm count includes the maximum number of alarms within one training cycle when the lubricating oil pump system is in the oil shortage operating condition; and the third maximum alarm count includes the maximum number of alarms within one training cycle when the lubricating oil pump system is in the pump pipe failure operating condition.

[0169] Specifically, the processor uses the standard number of pump core failures and the first maximum number of alarms as preset pump core parameters, the standard number of oil shortages and the second maximum number of alarms as preset oil shortage parameters, and the standard number of pump pipe failures and the third maximum number of alarms as preset pump pipe parameters.

[0170] The sum of the pump core score, the oil shortage score, and the pump pipe score is determined as the first score. Then, the product of this first score and the first weight is taken as the score of the lubricating oil pump system in the total score of the mixer.

[0171] It is understood that, in one embodiment, the pump core score, oil shortage score, and pump pipe score can be predetermined and multiplied by the weights of the pump core, oil shortage, and pump pipe in the lubricating oil pump system. The products of the three can be added together to obtain the score of the lubricating oil pump system in the total score of the mixer.

[0172] The product of the pump core score and the weight of the pump core in the lubricating oil pump system can be calculated using the following formula:

[0173]

[0174] Among them, A 泵芯乘积 This represents the product of the pump core score and the weight of the pump core in the lubricating oil pump system; S 泵芯 Indicates the number of pump core failures; D 泵芯 Indicates the standard number of pump core failures; M 泵芯 Indicates the first maximum number of alarms; B 泵芯 This indicates the weight of the pump core in the lubricating oil pump system.

[0175] The product of the oil shortage score and the weight of oil shortage in the lubrication pump system can be calculated using the following formula:

[0176]

[0177] Among them, A 缺油乘积 S represents the product of the oil shortage score and the weight of oil shortage in the lubrication pump system; 缺油 Indicates the number of times the oil shortage fault occurred; D 缺油 Indicates the standard number of times a fuel shortage fault occurs; M 缺油 Indicates the second maximum number of alarms; B 缺油 This indicates the weight of oil shortage in the lubricating oil pump system.

[0178] The product of the pump pipe score and the weight of the pump pipe in the lubricating oil pump system can be calculated using the following formula:

[0179]

[0180] Among them, A 泵管乘积 This represents the product of the pump pipe score and the weight allocated to the pump pipes in the lubricating oil pump system; S 泵管 Indicates the number of pump pipe failures; D 泵管 Indicates the standard number of pump pipe failures; M 泵管 Indicates the third maximum number of alarms; B 泵管 This indicates the weight of the pump pipe in the lubricating oil pump system.

[0181] In this embodiment, the lubricating oil pump system's score in the total score of the mixer is determined by calculating a first score. The health status of the lubricating oil pump system is used as part of the assessment of the health status of the mixing host, thereby improving the comprehensiveness and effectiveness of the assessment of the mixing host's health status.

[0182] In one embodiment, determining the actual standard operating condition number of tank cycles for a vulnerable component includes:

[0183] Obtain mixing information, including mixing time and material type;

[0184] The actual standard operating condition tank count value of vulnerable components is determined based on the stirring information.

[0185] In this embodiment, it should be noted that the stirring information can be obtained by collecting the operating condition information from the production order. The actual standard operating condition tank count value of the vulnerable component can be calculated based on the stirring information using the following formula:

[0186] G = [(A + T - T0) / A] * K

[0187] Where G represents the actual standard operating condition tank count; A represents the time required for the entire production process of the mixing host, which includes metering, feeding, mixing and unloading; T represents the mixing time; T0 represents the preset default mixing time; and K represents the conversion factor for the material type.

[0188] The default mixing time includes the preset standard mixing time corresponding to completing one standard working condition batch; the conversion factor is mainly determined by the strength coefficient of the material type, and the conversion factor corresponds to the material type. For any material type, the conversion factor is the ratio of the strength coefficient of the material type to the strength coefficient of the preset standard material.

[0189] The remaining life of each vulnerable component is used to determine its score. The scores of all vulnerable components are summed to obtain a second score. The product of this second score and the second weight is then used as the score of the vulnerable component in the total score of the mixer.

[0190] It is understood that, in one embodiment, the product of the score of each vulnerable component and the corresponding weight of each vulnerable component can be predetermined, and all products can be added together to obtain the score of the vulnerable component in the total score of the mixer.

[0191] The product of the score for each vulnerable component and its corresponding weight can be calculated using the following formula:

[0192] A 易损元件i = Remaining life of vulnerable component i × B 易损元件i

[0193] Among them, A 易损元件i Let represent the score of the i-th vulnerable component; i∈[1,n]; n represents the number of vulnerable components; B 易损元件i This represents the weight of the i-th vulnerable component sub-item.

[0194] In this embodiment, the remaining life of the vulnerable component is further determined by calculating the actual standard operating condition tank count value of the vulnerable component. The remaining life of the vulnerable component is used as part of the assessment of the health status of the mixing host, thereby improving the comprehensiveness and effectiveness of the assessment of the health status of the mixing host.

[0195] In one embodiment, the method for determining the health status of the mixing unit further includes:

[0196] Determine the material accumulation grade corresponding to the material accumulation of the mixing host;

[0197] Obtain the first uncleaned time corresponding to the material accumulation level falling within the preset tolerance range;

[0198] Tolerance parameters are determined based on all first uncleaned times;

[0199] Obtain the estimated second uncleaned time that could trigger a malfunction in the mixing unit;

[0200] Unacceptable parameters are determined based on all second-uncleaned times;

[0201] The tolerance parameter and the intolerable parameter are used as the preset material accumulation tolerance parameter.

[0202] In this embodiment, it should be noted that the accumulation level ensures the amount of material accumulated in the mixing host; the more material accumulated, the more likely the mixing host will malfunction. The preset tolerance range represents the range corresponding to the optimal cleaning time. When the accumulation level is below the preset tolerance range, there is no need for cleaning; when the accumulation level is above the preset tolerance range, the possibility of malfunction increases, requiring more timely cleaning. The processor obtains the accumulation level and the corresponding uncleaned time recorded each time the accumulation is cleaned from the preset accumulation cleaning monitoring system. For example, the accumulation levels include 1, 2, 3, 4, and 5; the records include: when the accumulation level is 1, the uncleaned time is 5 minutes; when the accumulation level is 2, the uncleaned time is 10 minutes; when the accumulation level is 3, the uncleaned time is 15 minutes; when the accumulation level is 4, the uncleaned time is 20 minutes; when the accumulation level is 5, the uncleaned time is 25 minutes; the preset tolerance range is [3, 4, 5], then the first uncleaned time includes 15, 20, and 25 minutes. The tolerance parameter is the weighted average of all first-uncleared times. The weight of data acquired closer to the current time is set according to actual needs, while the weight of data acquired further away from the current time is set lower.

[0203] It should be noted that the second uncleaned time represents the processor's estimate of the cleaning time that may cause a malfunction, recorded from the preset material accumulation monitoring system each time material accumulation is cleaned. For example, if the first estimate is 30 minutes, and a malfunction occurs 28 minutes after the mixing host has been running for a period of time without material accumulation being cleaned, then the second estimate is 27 minutes. The intolerable parameter is the weighted average of all second uncleaned times. The weight of the estimated data obtained closer to the current time is set according to actual needs, while the weight of the estimated data obtained further away from the current time is lower.

[0204] The product of the third score and the third weight can be calculated using the following formula:

[0205]

[0206] Among them, A 清理乘积 C represents the product of the third score and the third weight; 容忍 Indicates the tolerance parameter; C 不容忍 Indicates the intolerance parameter; B 清理 This indicates the third weight.

[0207] In this embodiment, the product of the third score and the third weight is used to further incorporate the unremoved material accumulation as part of the assessment of the health status of the mixing host, thereby improving the comprehensiveness and effectiveness of the assessment of the health status of the mixing host.

[0208] Furthermore, the total score of the mixing host can be calculated using the following formula:

[0209]

[0210] Among them, A 搅拌主机 Indicates the total score of the mixing unit; A 易损元件i Let A represent the score of the i-th vulnerable component; i∈[1,n]; n represents the number of vulnerable components; A 泵芯乘积 This represents the product of the pump core score and the weight of the pump core in the lubricating oil pump system; A 缺油乘积 This represents the product of the oil shortage score and the weight of the oil shortage in the lubrication pump system; A 泵管乘积 This represents the product of the pump pipe score and the weight allocated to the pump pipes in the lubricating oil pump system; A 清理乘积 This represents the product of the third score and the third weight.

[0211] In one embodiment, the method for determining the health status of the mixing unit further includes:

[0212] The first score, second score, third score, and total score are output through the display device.

[0213] In this embodiment, the first score, the second score, the third score, and the total score will be output through the display device. It can be understood that the scores corresponding to each vulnerable component and the scores corresponding to each part of the lubricating oil pump system, including the pump core, the oil shortage component, and the pump pipe, can also be output separately.

[0214] In this embodiment, the health status of the mixing host is comprehensively reflected by outputting the scores of each sub-item and the overall mixing host. There is no need to stop the machine for manual inspection. The current health status of the mixing host is displayed intuitively, which improves the timeliness of the maintenance of the mixing host and further ensures that the mixing host is always in a healthy and efficient state to ensure production quality.

[0215] This invention provides a processor for running a program, wherein the program executes the method for determining the health status of a mixing host.

[0216] This invention provides a machine-readable storage medium having a program stored thereon that, when executed by a processor, implements the method for determining the health status of a mixing host.

[0217] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0218] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0219] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0220] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0221] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0222] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0223] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0224] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0225] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for determining the health status of a mixing host, characterized in that, The mixing host includes a lubricating oil pump system and at least one vulnerable component, and the method includes: Determine the first number of times the lubricating oil pump system fails within a preset sample period; The first score is determined based on the first number of attempts and the preset fault parameters; Determine the actual standard operating condition tank count value of the aforementioned vulnerable components; The remaining life of the vulnerable component is determined based on the actual standard operating condition tank count and the estimated standard operating condition tank count. The second score is determined based on the remaining lifespan of all the aforementioned vulnerable components; Determine the time during which the accumulated material in the mixing unit has not been cleaned; The third score is determined based on the time the accumulated material was not cleaned and the preset material tolerance parameter. The total score of the mixing host is determined based on the first score, the second score, and the third score, so as to determine the health status of the mixing host based on the total score; The preset material accumulation tolerance parameter is determined in the following way: Determine the material accumulation grade corresponding to the material accumulation of the mixing host; Obtain the first uncleaned time corresponding to the material accumulation level falling within the preset tolerance range; Tolerance parameters are determined based on all of the first uncleaned times; Obtain the estimated second uncleaned time that could trigger the malfunction of the mixing unit; The intolerable parameters are determined based on all second-uncleaned times; The tolerance parameter and the intolerable parameter are used as preset material accumulation tolerance parameters.

2. The method according to claim 1, characterized in that, Determining the total score of the mixing host based on the first score, the second score, and the third score includes: Determine the first total number of failures of the lubricating oil pump system; Determine the second total number of times the mixing host malfunctions due to wear of the vulnerable components and the third total number of times malfunctions due to uncleaned accumulated material; Determine the sum of the first total count, the second total count, and the third total count; The first weight of the first score, the second weight of the second score, and the third weight of the third score are determined based on the proportions of the first total number of times, the second total number of times, and the third total number of times in the total number of times, respectively. The total score of the mixing host is obtained by multiplying the first score by the first weight, the second score by the second weight, and the third score by the third weight.

3. The method according to claim 1, characterized in that, The sample period includes multiple sampling time points, and determining the first number of times the lubricating oil pump system fails within the preset sample period includes: Obtain the first pressure value collected by the pressure sensor of the lubricating oil pump system within the preset data acquisition period corresponding to the sampling time point; Obtain the first flow count value collected by the flow sensor of the lubricating oil pump system within the preset data acquisition period; The first pulse information and the first flow rate are determined based on the first pressure value and the first flow count value, respectively, for the preset data acquisition cycle. The state characterization value of the lubricating oil pump system is determined based on the first pulse information, the first flow velocity, and a preset reference coefficient. Based on the state characterization value and the preset state table, determine whether there is a fault at the sampling time point; The number of sampling time points with faults within the sample period is taken as the first count.

4. The method according to claim 3, characterized in that, Also includes: Obtain the second pressure value collected by the pressure sensor within a preset training period, wherein the stirring host is in standard operating condition during the training period, and the duration of the training period is equal to the duration of the sample period. Obtain the second flow count value collected by the flow sensor during the training period; The second pulse information and the second flow rate corresponding to the training cycle are determined based on the second pressure value and the second flow count value, respectively. The preset reference coefficient is determined based on the second pulse information and the second flow velocity.

5. The method according to claim 3, characterized in that, The step of using the number of sampling time points with faults within the sample period as the first count includes: Based on the state characterization value and the preset state table, the fault type at the sampling time point is determined, wherein the fault type includes pump core failure, oil shortage and pump tube failure. The number of sampling time points during the sample period where pump core failure, oil shortage, and pump tube failure occurred respectively are taken as the number of pump core failures, the number of oil shortages, and the number of pump tube failures. The sum of the number of pump core failures, the number of oil shortages, and the number of pump pipe failures is taken as the first number; The determination of the first score based on the first number of times and preset fault parameters includes: The pump core score is determined based on the number of pump core failures and the preset pump core parameters in the preset fault parameters. The oil shortage score is determined based on the number of oil shortage occurrences and the preset oil shortage parameter in the preset fault parameters. The pump pipe score is determined based on the number of pump pipe failures and the preset pump pipe parameters in the preset fault parameters. The sum of the pump core score, the oil shortage score, and the pump pipe score is taken as the first score.

6. The method according to claim 5, characterized in that, Also includes: The standard number of pump core failures, the standard number of oil shortages, and the standard number of pump pipe failures in a lubricating oil pump system under standard operating conditions are determined within a preset training period, wherein the duration of the training period is equal to the duration of the sample period. Determine the first maximum number of alarms within the training cycle when the lubricating oil pump system is in a pump core failure condition; The standard number of pump core failures and the first maximum number of alarms are used as preset pump core parameters; Determine the second maximum number of alarms within the training cycle when the lubricating oil pump system is in a low-oil condition; The standard number of oil shortages and the second maximum number of alarms are used as preset oil shortage parameters; The third maximum number of alarms within the training cycle is determined when the lubricating oil pump system is in a pump pipe failure condition. The standard number of pump tube failures and the third maximum number of alarms are used as preset pump tube parameters.

7. The method according to claim 1, characterized in that, Determining the actual standard operating condition tank count value of the vulnerable component includes: Acquire mixing information, wherein the mixing information includes mixing time and material type; The actual standard operating condition tank count value of the vulnerable component is determined based on the stirring information.

8. The method according to claim 1, characterized in that, Also includes: The first score, the second score, the third score, and the total score are output through a display device.

9. A processor, characterized in that, It is configured to perform the method for determining the health status of a mixing unit as described in any one of claims 1 to 8.

10. A machine-readable storage medium, characterized in that, The machine-readable storage medium stores instructions for causing the machine to perform the method for determining the health status of the mixing host as described in any one of claims 1 to 8.

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