A production equipment performance evaluation system based on big data

Abstract

The present invention belongs to the technical field of equipment performance evaluation, and discloses a production equipment performance evaluation system based on big data, including: a data acquisition module, a data preprocessing module, a central control module, a performance evaluation index selection module, a performance evaluation index system construction module, a weight determination module, a performance evaluation module, an alarm module, and a display module. The present invention effectively improves the systematicness and accuracy of production performance evaluation. The present invention comprehensively considers the performance of production equipment, constructs a production equipment performance evaluation index system, which can not only comprehensively reflect the overall operation performance of production equipment, but also avoid information interference caused by redundant indicators; it avoids the weighting deviation caused by using a single calculation method, and at the same time takes into account the reality of historical data to achieve accurate allocation of the weights of production equipment evaluation indicators; and comprehensively analyzes to give the equipment performance evaluation result.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment performance evaluation, and particularly relates to a production equipment performance evaluation system based on big data. Background Art

[0002] At present, in the process of production and construction, due to the continuous application of new technologies, the detection standards for the performance of production equipment and the performance evaluation specification system have not been established and improved, lacking overall evaluation means, and cannot comprehensively and scientifically reflect the performance level of production equipment; moreover, the detection content and means are relatively simple, and the performance evaluation of the system is manually realized according to the detection results, which is extremely likely to cause evaluation deviations caused by inconsistent knowledge levels and understanding depths of personnel.

[0003] Through the above analysis, the problems and defects existing in the prior art are: the detection standards for the performance of existing production equipment and the performance evaluation specification system have not been established and improved, lacking overall evaluation means, and cannot comprehensively and scientifically reflect the performance level of production equipment; moreover, the detection content and means are relatively simple, and the performance evaluation of the system is manually realized according to the detection results, which is extremely likely to cause evaluation deviations caused by inconsistent knowledge levels and understanding depths of personnel. Summary of the Invention

[0004] In view of the problems existing in the prior art, the present invention provides a production equipment performance evaluation system based on big data.

[0005] The present invention is implemented as follows. A production equipment performance evaluation system based on big data, the production equipment performance evaluation system based on big data includes:

[0006] A data acquisition module, a data preprocessing module, a central control module, a performance evaluation index selection module, a performance evaluation index system construction module, a weight determination module, a performance evaluation module, an alarm module, and a display module;

[0007] The performance evaluation index selection module, connected to the central control module, is used for selecting production equipment performance evaluation indexes;

[0008] The performance evaluation index system construction module, connected to the central control module, is used for constructing a performance evaluation index system based on the selected performance evaluation indexes;

[0009] The weight determination module, connected to the central control module, is used for calculating and determining the weights of each performance evaluation index;

[0010] The performance evaluation module, connected to the central control module, is used for performing production equipment performance evaluation based on the constructed performance evaluation index system and the weights of the corresponding indexes;

[0011] The performance evaluation module conducts performance evaluation of production equipment based on the constructed performance evaluation index system and the weights of corresponding indicators, including:

[0012] Determining the factor set, the evaluation subset of the factor set, and the evaluation levels based on the determined evaluation indicators and evaluation system;

[0013] Obtaining the index data of each device, calculating the membership degree of each index data to obtain a fuzzy relation matrix, and at the same time determining the magnitude of the weight values of each index based on the weights of the determined evaluation indicators;

[0014] Conducting performance evaluation of each production equipment by using a weighted average operator according to the division structure of the performance evaluation index system;

[0015] The conducting performance evaluation of each production equipment by using a weighted average operator according to the division structure of the performance evaluation index system includes:

[0016] First, conducting fuzzy comprehensive evaluation of the first-level indicators of the performance evaluation system and obtaining the fuzzy comprehensive evaluation results of each first-level indicator;

[0017] Second, obtaining the fuzzy relation matrix of the first-level indicators according to the fuzzy comprehensive evaluation results of each first-level indicator, and determining the second-level fuzzy comprehensive evaluation results based on the fuzzy relation matrix of the first-level indicators;

[0018] Finally, determining the fuzzy comprehensive evaluation results of the equipment performance based on the fuzzy comprehensive evaluation results of the first-level indicators and the second-level fuzzy comprehensive evaluation results.

[0019] Furthermore, the production equipment performance evaluation system based on big data further includes:

[0020] A data acquisition module, connected to the central control module, for acquiring relevant performance parameters of each production equipment;

[0021] A data preprocessing module, connected to the central control module, for preprocessing the acquired performance parameters of relevant production equipment;

[0022] A central control module, connected to the data acquisition module, the data preprocessing module, the performance evaluation index selection module, the performance evaluation index system construction module, the weight determination module, the performance evaluation module, the alarm module, and the display module, for controlling each module to work properly by using a single-chip microcomputer or a controller;

[0023] An alarm module, connected to the central control module, for giving an alarm when the floating threshold of the equipment performance parameters or the evaluation results do not meet the standards;

[0024] A display module, connected to the central control module, for displaying the acquired parameters, performance evaluation results, and alarm information.

[0025] Further, the performance parameters of each production device include: the operating data, fault data, event data, and maintenance logs of the device.

[0026] Further, the data preprocessing module preprocesses the performance parameters of the relevant production devices collected, including:

[0027] Deleting the missing value data in the device performance data, filling the outlier data, and calculating the average value and standard deviation of each performance parameter;

[0028] Standardizing the performance parameters of the original production device, and compressing the standardized data into a unified interval by using the extreme value standardization method.

[0029] Further, when the floating threshold of the device performance parameter or the evaluation result fails to meet the standard, the alarm module gives an alarm, including:

[0030] Obtaining the current data of the device performance parameter and the evaluation result of the performance parameter;

[0031] Extracting the time node data of the obtained performance parameter data, and obtaining the historical performance data of the production device in the same time period, and predicting and generating a reasonable fluctuation range of the corresponding production device based on the historical data;

[0032] Determining whether the current data of the device performance parameter is within the reasonable fluctuation range in the current time period, and at the same time determining whether the evaluation result meets the preset standard;

[0033] When and only when the current data of the device performance parameter is within the reasonable fluctuation range in the current time period and the evaluation result meets the preset standard, no other processing is performed; otherwise, corresponding alarm information is generated.

[0034] Further, the performance evaluation index selection module selects the performance evaluation indexes of the production device, including:

[0035] According to the historical performance parameter data of the production device, the first weight corresponding to the evaluation index of the production device is calculated by using the entropy weight method;

[0036] According to the production device evaluation index, a judgment matrix is established by using the analytic hierarchy process method, and based on the judgment matrix, multiple sub-weights are obtained respectively through the composite weight calculation method;

[0037] Calculating the mean value of each sub-weight to obtain the second weight;

[0038] Based on the product of the first weight and the second weight, obtain the weight product of the production equipment evaluation index, and calculate the ratio of the weight product of the production equipment evaluation index to the sum of the weight accumulations of all production equipment evaluation indexes, so as to obtain the index weight corresponding to the production equipment evaluation index.

[0039] Furthermore, the composite weight calculation includes: using at least two of the geometric mean method, arithmetic mean method, eigenvector method, and least squares method for composite weight calculation, and the number of sub-weights corresponds to the number of calculation methods included in the composite weight calculation method.

[0040] Another object of the present invention is to provide an information data processing terminal, which is characterized in that the information data processing terminal is used to implement the production equipment performance evaluation system based on big data.

[0041] Another object of the present invention is to provide a computer program product stored on a computer-readable medium, including a computer-readable program, which provides a user input interface to apply the production equipment performance evaluation system based on big data when executed on an electronic device.

[0042] Another object of the present invention is to provide a computer-readable storage medium storing instructions, which when run on a computer, enable the computer to apply the production equipment performance evaluation system based on big data.

[0043] Combining all the above technical solutions, the advantages and positive effects of the present invention are as follows: The present invention effectively improves the systematicness and accuracy of production performance evaluation. The present invention comprehensively considers the performance of production equipment and constructs a production equipment performance evaluation index system, which can not only comprehensively reflect the overall operation performance of production equipment, but also avoid information interference caused by redundant indicators; the first weight obtained by the entropy weight method, the second weight obtained by taking the average value of sub-weights using the analytic hierarchy process and the composite weight calculation method, and finally the final index weight is obtained through the ratio, avoiding the weighting deviation caused by using a single calculation method, and taking into account the reality of historical data at the same time, realizing the accurate allocation of the weight of production equipment evaluation indexes; comprehensively analyzing and giving the equipment performance evaluation result. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required to be used in the embodiments of the present application. Obviously, the following described drawings are only some embodiments of the present application, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0045] Figure 1It is a schematic structural diagram of a production equipment performance evaluation system based on big data provided by an embodiment of the present invention;

[0046] In the figure: 1. Data acquisition module; 2. Data preprocessing module; 3. Central control module; 4. Performance evaluation index selection module; 5. Performance evaluation index system construction module; 6. Weight determination module; 7. Performance evaluation module; 8. Alarm module; 9. Display module.

[0047] Figure 2 It is a method flowchart of the data preprocessing module provided by an embodiment of the present invention for preprocessing the performance parameters of relevant production equipment collected.

[0048] Figure 3 It is a method flowchart of the performance evaluation module provided by an embodiment of the present invention for evaluating the performance of production equipment based on the constructed performance evaluation index system and the weights of corresponding indexes.

[0049] Figure 4 It is a method flowchart of the present invention's embodiment for evaluating the performance of each production equipment using a weighted average operator according to the division structure of the performance evaluation index system.

[0050] Figure 5 It is a method flowchart of the alarm module provided by an embodiment of the present invention for giving an alarm when the equipment performance parameter floating threshold or the evaluation result does not meet the standard. Detailed implementation manners

[0051] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0052] In view of the problems existing in the prior art, the present invention provides a production equipment performance evaluation system based on big data, and the present invention will be described in detail below with reference to the accompanying drawings.

[0053] As Figure 1 shown, the production equipment performance evaluation system based on big data provided by an embodiment of the present invention includes:

[0054] A data acquisition module 1, connected to the central control module 3, for collecting relevant performance parameters of each production equipment;

[0055] A data preprocessing module 2, connected to the central control module 3, for preprocessing the performance parameters of relevant production equipment collected;

[0056] The central control module 3 is connected to the data acquisition module 1, the data preprocessing module 2, the performance evaluation index selection module 4, the performance evaluation index system construction module 5, the weight determination module 6, the performance evaluation module 7, the alarm module 8, and the display module 9, and is used to control the normal operation of each module by using a single-chip microcomputer or a controller;

[0057] The performance evaluation index selection module 4 is connected to the central control module 3 and is used to select the performance evaluation indexes of the production equipment;

[0058] The performance evaluation index system construction module 5 is connected to the central control module 3 and is used to construct a performance evaluation index system based on the selected performance evaluation indexes;

[0059] The weight determination module 6 is connected to the central control module 3 and is used to calculate and determine the weights of each performance evaluation index;

[0060] The performance evaluation module 7 is connected to the central control module 3 and is used to evaluate the performance of the production equipment based on the constructed performance evaluation index system and the weights of the corresponding indexes;

[0061] The alarm module 8 is connected to the central control module 3 and is used to give an alarm when the equipment performance parameter floating threshold or the evaluation result does not meet the standard;

[0062] The display module 9 is connected to the central control module 3 and is used to display the collected parameters, performance evaluation results, and alarm information.

[0063] The performance parameters of each production equipment provided by the embodiments of the present invention include: the operation data, fault data, event data, and maintenance logs of the equipment.

[0064] Such as Figure 2 As shown, the data preprocessing module provided by the embodiments of the present invention preprocesses the performance parameters of the relevant production equipment collected, including:

[0065] S101, deleting the missing value data in the equipment performance data, filling the outlier data, and calculating the average value and standard deviation of each performance parameter;

[0066] S102, standardizing the performance parameters of the original production equipment, and compressing the standardized data into a unified interval by using the extreme value standardization method.

[0067] The performance evaluation index selection module provided by the embodiments of the present invention selects the performance evaluation indexes of the production equipment, including:

[0068] According to the historical performance parameter data of the production equipment, the first weight corresponding to the evaluation index of the production equipment is calculated by using the entropy weight method;

[0069] According to the production equipment evaluation indicators, a judgment matrix is established through the analytic hierarchy process, and multiple sub-weights are respectively obtained based on the judgment matrix through the composite weight calculation method.

[0070] The average value of each of the sub-weights is calculated to obtain the second weight.

[0071] According to the product of the first weight and the second weight, the weight product of the production equipment evaluation indicator is obtained, and the ratio of the weight product of the production equipment evaluation indicator to the sum of the weight accumulations of all production equipment evaluation indicators is calculated to obtain the index weight corresponding to the production equipment evaluation indicator.

[0072] The composite weight calculation provided by the embodiments of the present invention includes: using at least two of the geometric mean method, arithmetic mean method, eigenvector method, and least squares method for composite weight calculation, and the number of the sub-weights corresponds to the number of calculation methods included in the composite weight calculation method.

[0073] As Figure 3 shown, the performance evaluation module provided by the embodiments of the present invention performs production equipment performance evaluation based on the constructed performance evaluation index system and the weights of the corresponding indicators, including:

[0074] S201, determining the evaluation factor set, the evaluation subset of the factor set, and the evaluation grade based on the determined evaluation indicators and evaluation system;

[0075] S202, obtaining the data of each equipment indicator, calculating the membership degree of each indicator data to obtain a fuzzy relation matrix, and at the same time, based on the weights of the determined evaluation indicators, determining the magnitude of the weight values of each indicator;

[0076] S203, according to the division structure of the performance evaluation index system, using a weighted average type operator to perform the performance evaluation of each production equipment.

[0077] As Figure 4 shown, the embodiments of the present invention provide the performance evaluation of each production equipment using a weighted average type operator according to the division structure of the performance evaluation index system, including:

[0078] S301, performing fuzzy comprehensive evaluation of the first-level indicators of the performance evaluation system and obtaining the fuzzy comprehensive evaluation results of each first-level indicator;

[0079] S302, obtaining the fuzzy relation matrix of the first-level indicators according to the fuzzy comprehensive evaluation results of each first-level indicator, and determining the second-level fuzzy comprehensive evaluation results based on the fuzzy relation matrix of the first-level indicators;

[0080] S303, determining the fuzzy comprehensive evaluation results of the equipment performance based on the fuzzy comprehensive evaluation results of the first-level indicators and the second-level fuzzy comprehensive evaluation results.

[0081] As Figure 5 shown, when the floating threshold of the device performance parameter or the evaluation result fails to meet the standard, the alarm module provided by the embodiment of the present invention for alarm includes:

[0082] S401, obtaining the current data of the device performance parameter and the evaluation result of the performance parameter;

[0083] S402, extracting the time node data of the obtained performance parameter data, obtaining the historical performance data of the production device in the same time period, and predicting and generating a reasonable fluctuation range of the corresponding production device based on the historical data;

[0084] S403, determining whether the current data of the device performance parameter is within the reasonable fluctuation range in the current time period, and at the same time determining whether the evaluation result meets the preset standard;

[0085] S404, when and only when the current data of the device performance parameter is within the reasonable fluctuation range in the current time period and the evaluation result meets the preset standard, no other processing is performed; otherwise, corresponding alarm information is generated.

[0086] As mentioned above, the above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, any modification, equivalent replacement and improvement made within the spirit and principle of the present invention should be covered within the protection scope of the present invention.

Claims

1. A production equipment performance evaluation system based on big data, characterized in that, The production equipment performance evaluation system based on big data includes: a data acquisition module, a data preprocessing module, a central control module, a performance evaluation index selection module, a performance evaluation index system construction module, a weight determination module, a performance evaluation module, an alarm module, and a display module; The performance evaluation index selection module, connected to the central control module, is used for selecting production equipment performance evaluation indexes; The performance evaluation index system construction module, connected to the central control module, is used for constructing a performance evaluation index system based on the selected performance evaluation indexes; The weight determination module, connected to the central control module, is used for calculating and determining the weights of each performance evaluation index; The performance evaluation module, connected to the central control module, is used for evaluating the performance of production equipment based on the constructed performance evaluation index system and the weights of the corresponding indexes; The performance evaluation module evaluates the performance of production equipment based on the constructed performance evaluation index system and the weights of the corresponding indexes, including: determining the evaluation factor set, the evaluation subset of the factor set, and the evaluation grade based on the determined evaluation indexes and evaluation system; obtaining the index data of each device, calculating the membership degree of each index data to obtain a fuzzy relation matrix, and at the same time determining the magnitude of the weight value of each index based on the weights of the determined evaluation indexes; According to the division structure of the performance evaluation index system, a weighted average operator is used to evaluate the performance of each production equipment; The step of using a weighted average operator to evaluate the performance of each production equipment according to the division structure of the performance evaluation index system includes: First, perform a fuzzy comprehensive evaluation of the first-level indexes of the performance evaluation system and obtain the fuzzy comprehensive evaluation results of each first-level index; Secondly, obtain the fuzzy relation matrix of the first-level indexes according to the fuzzy comprehensive evaluation results of each first-level index, and determine the secondary fuzzy comprehensive evaluation results based on the fuzzy relation matrix of the first-level indexes; Finally, determine the fuzzy comprehensive evaluation results of the equipment performance based on the fuzzy comprehensive evaluation results of the first-level indexes and the secondary fuzzy comprehensive evaluation results; The performance evaluation index selection module selects production equipment performance evaluation indexes, including: According to the historical performance parameter data of the production equipment, the first weight corresponding to the production equipment evaluation index is calculated by the entropy weight method; According to the production equipment evaluation indexes, a judgment matrix is established by the analytic hierarchy process, and multiple sub-weights are respectively obtained based on the judgment matrix through the composite weight calculation method; Calculate the mean value of each of the sub-weights to obtain the second weight; According to the product of the first weight and the second weight, obtain the weight product of the production equipment evaluation index, and calculate the ratio of the weight product of the production equipment evaluation index to the cumulative sum of the weight products of all production equipment evaluation indexes to obtain the index weight corresponding to the production equipment evaluation index.

2. The production equipment performance evaluation system based on big data according to claim 1, characterized in that, The production equipment performance evaluation system based on big data further includes: The data acquisition module, connected to the central control module, is used for collecting the relevant performance parameters of each production equipment; The data preprocessing module, connected to the central control module, is used for preprocessing the collected performance parameters of the relevant production equipment; The central control module is connected to the data acquisition module, the data preprocessing module, the performance evaluation index selection module, the performance evaluation index system construction module, the weight determination module, the performance evaluation module, the alarm module, and the display module, and is used to control the normal operation of each module by using a single-chip microcomputer or a controller; The alarm module is connected to the central control module and is used to give an alarm when the floating threshold of the device performance parameter or the evaluation result fails to meet the standard; The display module is connected to the central control module and is used to display the collected parameters, the performance evaluation results, and the alarm information.

3. The production equipment performance evaluation system based on big data according to claim 2, characterized in that The performance parameters of each production device include: the operation data, the fault data, the event data, and the maintenance log of the device.

4. The production equipment performance evaluation system based on big data according to claim 2, characterized in that, The data preprocessing module preprocesses the performance parameters of the relevant production devices collected, including: Deleting the missing value data in the device performance data, filling the outlier data, and calculating the average value and the standard deviation of each performance parameter; Standardizing the performance parameters of the original production device, and compressing the standardized data into a unified interval by using the extreme value standardization method.

5. The production equipment performance evaluation system based on big data according to claim 2, characterized in that, When the floating threshold of the device performance parameter or the evaluation result fails to meet the standard, the alarm module gives an alarm, including: Obtaining the current data of the device performance parameter and the evaluation result of the performance parameter; Extracting the time node data of the obtained performance parameter data, and obtaining the historical performance data of the production device in the same time period, and predicting and generating a reasonable fluctuation range of the corresponding production device based on the historical performance data; Determining whether the current data of the device performance parameter is within the reasonable fluctuation range in the current time period, and at the same time determining whether the evaluation result meets the preset standard; When and only when the current data of the device performance parameter is within the reasonable fluctuation range in the current time period and the evaluation result meets the preset standard, no other processing is performed; otherwise, corresponding alarm information is generated.

6. The production equipment performance evaluation system based on big data according to claim 1, characterized in that The composite weight calculation includes: using at least two of the geometric mean method, the arithmetic mean method, the eigenvector method, and the least square method for composite weight calculation, and the number of sub-weights corresponds to the number of calculation methods included in the composite weight calculation method.

7. An information data processing terminal, characterized in that, The information data processing terminal is used to implement the production device performance evaluation system based on big data as described in any one of claims 1-6.

8. A computer program product stored on a computer-readable medium, including a computer-readable program, which when executed on an electronic device, provides a user input interface to apply the production device performance evaluation system based on big data as described in any one of claims 1-6.

9. A computer-readable storage medium stores instructions, which when run on a computer, enable the computer to apply the production device performance evaluation system based on big data as described in any one of claims 1-6.

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