A digital processing equipment visualization management system and method

Abstract

The present invention discloses a digitally processed equipment visualization management system and method, belonging to the technical field of equipment value management. The present invention uses the failure times and usage time of scrapped equipment to draw a curve chart, calculates the influence coefficient of equipment failure on equipment usage time, and determines the normal service life of each equipment; calculates the residual value index of each equipment in combination with the normal service life and the failure influence coefficient; extracts the work burden and residual value index of the equipment in the record, draws the work burden and residual value index curve chart according to the equipment work record in the history, calculates the function expression of the work burden and residual value index curve chart, derives the work burden and residual value index function expression to obtain the work burden and value loss speed function, and determines the overload threshold based on the work burden; judges in real time whether the real-time work burden is in an overload state and issues an early warning.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment value management, and in particular to a digitally processed equipment visualization management system and method. Background Art

[0002] The Industrial Revolution brought about large-scale mechanized production, and the number of factories and equipment increased rapidly. Early equipment management mainly relied on manual records and experience to maintain and repair equipment. When equipment broke down, it was repaired, lacking preventive maintenance. With the introduction of automation technology, not only has production efficiency and equipment complexity been improved, but regular maintenance can be performed based on equipment usage and experience to reduce the occurrence of failures. Nowadays, with the continuous development of computer technology, integrated and data-based management methods are used in all walks of life, which is still applicable in equipment value management. By integrating and storing various data of the equipment and using various algorithms for calculation and training, the value of the equipment can be managed reasonably. Although computer calculations can process a large amount of data, the working status of the equipment will not be monitored in the management of equipment value, and the impact of failures on the value of the equipment cannot be specifically displayed. In order to pursue speed when many devices are working, the equipment is often overloaded, and the overload state causes huge loss of equipment value. Therefore, for the analysis of the equipment workload, avoiding overload can greatly avoid unnecessary waste and loss of equipment value. Summary of the invention

[0003] The purpose of the present invention is to provide a digital processing equipment visualization management system and method to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0005] A digitally processed device visualization management method, the method comprising the following steps:

[0006] S100, collecting the failure times and usage time data of scrapped equipment in history, drawing a curve chart using the failure times and usage time of scrapped equipment, calculating the influence coefficient of equipment failure on equipment usage time, extracting the usage time of each type of equipment that has not failed in history, and calculating the normal service life of each type of equipment;

[0007] Furthermore, the specific steps for calculating the influence coefficient of equipment failure on equipment usage time are as follows:

[0008] S101. The number of failures of scrapped equipment in the collection history is , represents the number of failures of the 1st, 2nd, 3rd, ..., nth scrapped equipment in the collected history; the usage time data of the scrapped equipment in the collected history is , Indicates the usage time of the 1st, 2nd, 3rd, ..., nth scrapped equipment in the collected history, where n is a positive integer;

[0009] S102. Collect the usage time of each device in the history without failure. , It represents the usage time of the 1st, 2nd, 3rd, ..., pth type of equipment in the collected history without failure, where p is a positive integer; the usage time without failure of each type of equipment is collected k times, and the average value is calculated as the normal service life of each type of equipment. The formula is , where T represents the normal service life of each device, W represents the collected usage time of each device without failure, and k represents the number of collected usage time of each device when failure occurs. The normal service life of each device is finally obtained as , Indicates the normal service life of equipment of type 1, 2, 3, ..., p;

[0010] The usage time of each device when it fails and when it does not fail is used to calculate the usage time lost due to the failure. The formula is: , where Dc represents the usage time lost due to failure of each device;

[0011] S103, using the collected failure times of scrapped equipment as independent variables and the loss duration data as variable construction points , ; Use the number of failures and lost usage time of n devices to construct a point set containing n points; Use the points in the point set to draw a curve graph by tracing points and connecting lines; Select two points in the curve graph to calculate the slope of the line between the two selected points. The formula is:

[0012]

[0013] In the formula, a represents the slope of the line between the two selected points. , Indicates the ordinate and abscissa of the first point among the two points. , Indicates the ordinate and abscissa of the latter of the two selected points; all points in the curve are selected in pairs and calculated to obtain all the slope values. , Indicates the calculated 1st, 2nd, 3rd, ..., The slope of the line connecting the two points is calculated using The slope of the connecting line is fitted to obtain the influence coefficient of the number of failures on the equipment service life in the curve diagram. The formula is:

[0014]

[0015] In the formula, Im represents the influence coefficient of the number of failures on the equipment usage time, and a represents the slope between every two points in the calculation.

[0016] A curve is drawn using the number of equipment failures and lost usage time in history. The slope of the calculated curve can be used as the influence coefficient of the number of failures on the lost usage time of the equipment, reflecting the degree of influence of equipment failures on the equipment usage time. Eliminating equipment failures can greatly avoid the waste of equipment value. The influence coefficient can clearly reflect the loss of equipment value caused by failures.

[0017] S200, extracting the usage time and number of failures of all equipment in the working environment, and calculating the residual value index of each equipment in combination with the normal service life and the failure impact coefficient;

[0018] Furthermore, the specific steps for calculating the residual value index of each device by combining the normal service life and the failure impact coefficient are as follows:

[0019] S201. Collect the usage time of each device in the working environment. , represents the usage time of the 1st, 2nd, 3rd, ..., qth devices in the working environment, and the corresponding number of failures of each device is collected as , Indicates the number of failures of the 1st, 2nd, 3rd, ..., qth device, where q is a positive integer; determines the type of each device in the working environment, and finds the corresponding normal service life of the device according to the type of each device;

[0020] S202. Calculate the residual value index of each device using the collected usage time, number of failures and normal service life of each device. The formula is:

[0021]

[0022] In the formula, Va represents the residual value index of each device, and Im represents the influence coefficient of the number of failures on the service life. After calculation, the residual value index of each device in the working environment is obtained as follows: , Represents the residual value index of the 1st, 2nd, 3rd, ..., qth equipment in the working environment.

[0023] By collecting the usage time, service life, and number of failures of equipment in the working environment, the aggregate failure impact coefficient can be calculated in real time to obtain a residual value index that reflects the value of the equipment, clearly reflecting the real-time equipment value.

[0024] S300, collecting the records of each device in operation in history, extracting the work load and surplus value index of the device in the records, drawing a graph of the work load and surplus value index according to the equipment operation records in history, and calculating the function expression of the graph of the work load and surplus value index;

[0025] Furthermore, the specific steps of calculating the functional expression of the workload and surplus value index curve are as follows:

[0026] S301, collect the records of each non-failure device working under different workloads in history, and extract the different workloads , Indicates the workload in the 1st, 2nd, 3rd, ..., gth equipment work records in the collected history; extracts the remaining usage time of the equipment in the record, and uses the remaining usage time to calculate the residual value index of the equipment in the record. The formula is:

[0027]

[0028] In the formula, Va_h represents the residual value index of the equipment in the record, E represents the remaining use time of the equipment in the extracted record, and T represents the normal service life of the equipment in the record; the residual value indexes corresponding to the g extracted workloads are calculated, and the g residual value indexes are obtained as follows: , Represents the residual value index corresponding to the equipment workload in the extraction record;

[0029] S302, using the workload and surplus value index calculated in advance to draw a curve graph, with the workload as the independent variable and the surplus value index as the variable, calculate the expression of the curve in the curve graph, and set the expression as , the values ​​of the independent variable and the variable are both greater than 0; b1 in the expression is the coefficient of the quadratic term, and b2 represents the constant in the expression; analyze the curve image, the vertex of the curve image is on the ordinate, and the point Substitute the expression into the equation and get , point Substitute it into the expression to calculate the value of b1, the formula is:

[0030]

[0031] In the formula, Indicates the maximum value of the vertical axis in the curve graph. Represents the maximum value of the horizontal axis; finally, the functional expression of the workload and surplus value index of each equipment in the working environment is obtained through calculation.

[0032] S400, after drawing the workload and surplus value index curve, deriving the workload and surplus value index function expression to obtain the workload and value loss rate function, collecting the workload of the equipment that has failed in history to calculate the workload threshold, and then determining the overload threshold based on the workload;

[0033] Furthermore, the specific steps for determining the overload threshold based on workload are as follows:

[0034] S401. The function expression for extracting the workload and surplus value index of each equipment in the working environment is: , The function expression of the extracted workload and surplus value index of the first, second, third, ..., p types of equipment is represented; the function expression of the extracted workload and surplus value index of the p types of equipment is derived, and the derived function expression is obtained as follows:

[0035]

[0036] In the expression, represents the derived surplus value index, and the derived surplus value index is used as the value loss rate Vs, Represents the slope of the derivative function, and the functional expressions of the equipment's workload and value loss rate are obtained as follows:

[0037]

[0038] The functional expressions of the workload and surplus value index of each equipment are derived, and the functional expressions of the workload and value loss rate of each equipment are obtained as follows: , The functional expressions for the workload and value loss rate of the 1st, 2nd, 3rd, ..., pth equipment are represented;

[0039] S402, collecting the workload of each device when a failure occurs in history, and calculating the workload threshold, the formula is: ,In the formula, Bu_y represents the workload threshold of each device, Bu_g represents the workload of the device when a failure occurs in the collected history, r represents the number of workloads of the device when a failure occurs in the collected history, and st represents the standard deviation of r workloads in the history;

[0040] The calculated threshold value of each workload Bu_y is introduced into the workload and value loss rate function expression to calculate the overload threshold value. The formula is:

[0041]

[0042] In the formula, Vs_y represents the calculated overload threshold of each device, and the overload thresholds of p types of devices are calculated to obtain p overload thresholds.

[0043] A comprehensive analysis is conducted on the workload and surplus value index of the equipment in history to obtain a function expression that represents their relationship. The function expression is further differentiated to obtain the specific changes in the value loss rate when the workload changes. This can clearly reflect the loss of equipment value under different workloads. The workload threshold when a failure occurred in history is then calculated, which can be used to monitor the equipment operation in detail to avoid unnecessary waste of equipment value.

[0044] S500. When the equipment is working, the workload of each device is extracted in real time, and the value loss rate under the real-time workload is calculated using the workload and value loss rate function. The real-time equipment workload and value loss curve are visualized and output using an oscilloscope to determine in real time whether the real-time workload is in an overload state and issue a warning.

[0045] Furthermore, the specific steps of determining in real time whether the real-time workload is in an overload state and issuing an early warning are as follows:

[0046] S501. When the devices in the working environment are working, extract the real-time workload of each device as , The real-time workload of the extracted 1st, 2nd, 3rd, ..., qth equipment is represented. The real-time workload of each equipment extracted is brought into the workload and value loss rate function expression of the corresponding type of equipment to calculate the real-time value loss rate of the working equipment. The formula is:

[0047]

[0048] In the formula, Vs_s represents the real-time value loss rate of the calculated working equipment;

[0049] S502: Visualize the real-time workload and implementation value loss rate of the working equipment using a curve chart, highlight the overload threshold in the curve chart in the visualization, and judge the real-time value loss rate of the working equipment. When the real-time workload of the working equipment is abnormal, the equipment is in an overload state, and there is a risk of failure, an overload warning is issued; when When the real-time workload of the working equipment is judged to be normal, the work continues.

[0050] The calculated overload threshold of the equipment is used to calculate and judge the workload of the real-time working equipment. When the workload of the equipment is too heavy, the equipment is judged to be in an overload state, which is very likely to cause equipment failure, causing great loss of equipment value. Early warning of equipment failure can avoid equipment failure and reduce the loss of equipment value.

[0051] A digitally processed equipment visualization management system, the equipment visualization management system includes a data collection module, a surplus value index calculation module, a surplus value index function calculation module, a value loss speed function calculation module and an overload warning module;

[0052] The data collection module is used to collect the number of failures, usage time, and service life data of the working equipment in history;

[0053] The residual value index calculation module is used to calculate the influence coefficient of the failure on the use time according to the number of failures and the lost use time of the equipment in the collected history, and calculate the residual value index of each equipment in combination with the service life of the equipment;

[0054] The residual value index function calculation module is used to draw a curve chart using the workload and residual value index of each device in the collected history, and analyze and calculate the curve chart to obtain the workload and residual value index function;

[0055] The value loss rate function calculation module is used to derive the workload and surplus value index functions, and use the derived functions as workload and value loss rate functions;

[0056] The overload warning module is used to calculate the work load of the real-time working equipment to obtain the real-time value loss rate, and determine whether the real-time working equipment is in an overload state according to the overload threshold.

[0057] The residual value index calculation module includes a fault influence coefficient calculation unit and a function calculation unit;

[0058] The fault influence coefficient calculation unit is used to analyze the number of equipment failures and lost usage time in history, draw a curve graph, and calculate the slope of the image in the curve graph as the influence coefficient of the failure on the usage time;

[0059] The function calculation unit is used to collect the use time and service life of the equipment, and calculate the residual value index of each equipment in the working environment in combination with the calculated failure impact coefficient.

[0060] The surplus value index function calculation module includes a historical equipment surplus value index calculation unit and a surplus value index function calculation unit;

[0061] The historical equipment surplus value index calculation unit is used to extract the usage time of the equipment in the collected history and calculate the surplus value index of the equipment under different work loads in the history;

[0062] The surplus value index function calculation unit is used to draw a curve chart of the work load and surplus value index of the equipment in the collected history, analyze the curve chart, and calculate the work load and surplus value index function of each equipment.

[0063] The value loss speed function calculation module includes a derivation unit and an overload threshold calculation unit;

[0064] The derivation unit is used to derive the workload and residual value index function of each device, and use the derived function as the workload and value loss rate function of the device;

[0065] The overload threshold calculation unit is used to collect the workload when failures occur in history, and calculate the overload threshold using the workload and the value loss function.

[0066] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0067] The present invention draws a curve graph of the number of failures and the lost usage time of the equipment in the utilization history, and calculates the slope of the curve which can be used as the influence coefficient of the number of failures on the lost usage time of the equipment, reflecting the influence of the equipment failure on the equipment usage time, and can make the degree of damage caused by the equipment failure to the equipment value clearer.

[0068] The present invention calculates the workload and value loss rate function of each device and draws a curve graph, which can visually display the loss of device value under different workloads, and select a reasonable workload according to the curve graph when the device is working.

[0069] The present invention determines the real-time burden of the working equipment by calculating the overload threshold of the equipment, thereby preventing the equipment from malfunctioning due to overload and causing unnecessary loss and waste of the equipment value. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0071] Figure 1 It is a module distribution diagram of a digitally processed equipment visualization management system of the present invention;

[0072] Figure 2 It is a schematic diagram of the steps of a digital processing device visualization management method of the present invention;

[0073] Figure 3 It is a failure frequency-loss use time curve diagram of a digitally processed equipment visualization management method of the present invention;

[0074] Figure 4 It is a workload-value loss speed curve diagram of a digitally processed equipment visualization management method of the present invention. DETAILED DESCRIPTION

[0075] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] See also Figure 1-Figure 4 , the present invention provides a technical solution:

[0077] A digitally processed device visualization management method, the method comprising the following steps:

[0078] S100, collecting the failure times and usage time data of scrapped equipment in history, drawing a curve chart using the failure times and usage time of scrapped equipment, calculating the influence coefficient of equipment failure on equipment usage time, extracting the usage time of each type of equipment that has not failed in history, and calculating the normal service life of each type of equipment;

[0079] The specific steps for calculating the impact coefficient of equipment failure on equipment usage time are as follows:

[0080] S101. The number of failures of scrapped equipment in the collection history is , represents the number of failures of the 1st, 2nd, 3rd, ..., nth scrapped equipment in the collected history; the usage time data of the scrapped equipment in the collected history is , Indicates the usage time of the 1st, 2nd, 3rd, ..., nth scrapped equipment in the collected history, where n is a positive integer;

[0081] S102. Collect the usage time of each device in the history without failure. , It represents the usage time of the 1st, 2nd, 3rd, ..., pth type of equipment in the collected history without failure, where p is a positive integer; the usage time without failure of each type of equipment is collected k times, and the average value is calculated as the normal service life of each type of equipment. The formula is , where T represents the normal service life of each device, W represents the collected usage time of each device without failure, and k represents the number of collected usage time of each device when failure occurs. The normal service life of each device is finally obtained as , Indicates the normal service life of equipment of type 1, 2, 3, ..., p;

[0082] The usage time of each device when it fails and when it does not fail is used to calculate the usage time lost due to the failure. The formula is: , where Dc represents the usage time lost due to failure of each device;

[0083] S103, using the collected failure times of scrapped equipment as independent variables and the loss duration data as variable construction points , ; Use the number of failures and lost usage time of n devices to construct a point set containing n points; Use the points in the point set to draw a curve graph by tracing points and connecting lines; Select two points in the curve graph to calculate the slope of the line between the two selected points. The formula is:

[0084]

[0085] In the formula, a represents the slope of the line between the two selected points. , Indicates the ordinate and abscissa of the first point among the two points. , Indicates the ordinate and abscissa of the latter of the two selected points; all points in the curve are selected in pairs and calculated to obtain all the slope values. , Indicates the calculated 1st, 2nd, 3rd, ..., The slope of the line connecting the two points is calculated using The slope of the connecting line is fitted to obtain the influence coefficient of the number of failures on the equipment service life in the curve diagram. The formula is:

[0086]

[0087] In the formula, Im represents the influence coefficient of the number of failures on the equipment usage time, and a represents the slope between every two points in the calculation.

[0088] A curve is drawn using the number of equipment failures and lost usage time in history. The slope of the calculated curve can be used as the influence coefficient of the number of failures on the lost usage time of the equipment, reflecting the degree of influence of equipment failures on the equipment usage time. Eliminating equipment failures can greatly avoid the waste of equipment value. The influence coefficient can clearly reflect the loss of equipment value caused by failures.

[0089] S200, extracting the usage time and number of failures of all equipment in the working environment, and calculating the residual value index of each equipment in combination with the normal service life and the failure impact coefficient;

[0090] The specific steps to calculate the residual value index of each equipment by combining the normal service life and the failure impact coefficient are as follows:

[0091] S201. Collect the usage time of each device in the working environment. , represents the usage time of the 1st, 2nd, 3rd, ..., qth devices in the working environment, and the corresponding number of failures of each device is collected as , Indicates the number of failures of the 1st, 2nd, 3rd, ..., qth device, where q is a positive integer; determines the type of each device in the working environment, and finds the corresponding normal service life of the device according to the type of each device;

[0092] S202. Calculate the residual value index of each device using the collected usage time, number of failures and normal service life of each device. The formula is:

[0093]

[0094] In the formula, Va represents the residual value index of each device, and Im represents the influence coefficient of the number of failures on the service life. After calculation, the residual value index of each device in the working environment is obtained as follows: , Represents the residual value index of the 1st, 2nd, 3rd, ..., qth equipment in the working environment.

[0095] By collecting the usage time, service life, and number of failures of equipment in the working environment, the aggregate failure impact coefficient can be calculated in real time to obtain a residual value index that reflects the value of the equipment, clearly reflecting the real-time equipment value.

[0096] S300, collecting the records of each device in operation in history, extracting the work load and surplus value index of the device in the records, drawing a graph of the work load and surplus value index according to the equipment operation records in history, and calculating the function expression of the graph of the work load and surplus value index;

[0097] The specific steps for calculating the functional expression of the workload and surplus value index curve are as follows:

[0098] S301, collect the records of each non-failure device working under different workloads in history, and extract the different workloads , Indicates the workload in the 1st, 2nd, 3rd, ..., gth equipment work records in the collected history; extracts the remaining usage time of the equipment in the record, and uses the remaining usage time to calculate the residual value index of the equipment in the record. The formula is:

[0099]

[0100] In the formula, Va_h represents the residual value index of the equipment in the record, E represents the remaining use time of the equipment in the extracted record, and T represents the normal service life of the equipment in the record; the residual value indexes corresponding to the g extracted workloads are calculated, and the g residual value indexes are obtained as follows: , Represents the residual value index corresponding to the equipment workload in the extraction record;

[0101] S302, using the workload and surplus value index calculated in advance to draw a curve graph, with the workload as the independent variable and the surplus value index as the variable, calculate the expression of the curve in the curve graph, and set the expression as , the values ​​of the independent variable and the variable are both greater than 0; b1 in the expression is the coefficient of the quadratic term, and b2 represents the constant in the expression; analyze the curve image, the vertex of the curve image is on the ordinate, and the point Substitute the expression into the equation and get , point Substitute it into the expression to calculate the value of b1, the formula is:

[0102]

[0103] In the formula, Indicates the maximum value of the vertical axis in the curve graph. Represents the maximum value of the horizontal axis; finally, the functional expression of the workload and surplus value index of each equipment in the working environment is obtained through calculation.

[0104] S400, after drawing the workload and surplus value index curve, deriving the workload and surplus value index function expression to obtain the workload and value loss rate function, collecting the workload of the equipment that has failed in history to calculate the workload threshold, and then determining the overload threshold based on the workload;

[0105] The specific steps to determine the overload threshold based on workload are:

[0106] S401. The function expression for extracting the workload and surplus value index of each equipment in the working environment is: , The function expression of the extracted workload and surplus value index of the first, second, third, ..., p types of equipment is represented; the function expression of the extracted workload and surplus value index of the p types of equipment is derived, and the derived function expression is obtained as follows:

[0107]

[0108] In the expression, represents the derived surplus value index, and the derived surplus value index is used as the value loss rate Vs, Represents the slope of the derivative function, and the functional expressions of the equipment's workload and value loss rate are obtained as follows:

[0109]

[0110] The functional expressions of the workload and surplus value index of each equipment are derived, and the functional expressions of the workload and value loss rate of each equipment are obtained as follows: , The functional expressions for the workload and value loss rate of the 1st, 2nd, 3rd, ..., pth equipment are represented;

[0111] S402, collecting the workload of each device when a failure occurs in history, and calculating the workload threshold, the formula is: ,In the formula, Bu_y represents the workload threshold of each device, Bu_g represents the workload of the device when a failure occurs in the collected history, r represents the number of workloads of the device when a failure occurs in the collected history, and st represents the standard deviation of r workloads in the history;

[0112] The calculated threshold value of each workload Bu_y is introduced into the workload and value loss rate function expression to calculate the overload threshold value. The formula is:

[0113]

[0114] In the formula, Vs_y represents the calculated overload threshold of each device, and the overload thresholds of p types of devices are calculated to obtain p overload thresholds.

[0115] A comprehensive analysis is conducted on the workload and surplus value index of the equipment in history to obtain a function expression that represents their relationship. The function expression is further differentiated to obtain the specific changes in the value loss rate when the workload changes. This can clearly reflect the loss of equipment value under different workloads. The workload threshold when a failure occurred in history is then calculated, which can be used to monitor the equipment operation in detail to avoid unnecessary waste of equipment value.

[0116] S500. When the equipment is working, the workload of each device is extracted in real time, and the value loss rate under the real-time workload is calculated using the workload and value loss rate function. The real-time equipment workload and value loss curve are visualized and output using an oscilloscope to determine in real time whether the real-time workload is in an overload state and issue a warning.

[0117] The specific steps for judging whether the real-time workload is in an overload state and issuing an early warning are as follows:

[0118] S501. When the devices in the working environment are working, extract the real-time workload of each device as , The real-time workload of the extracted 1st, 2nd, 3rd, ..., qth equipment is represented. The real-time workload of each equipment extracted is brought into the workload and value loss rate function expression of the corresponding type of equipment to calculate the real-time value loss rate of the working equipment. The formula is:

[0119]

[0120] In the formula, Vs_s represents the real-time value loss rate of the calculated working equipment;

[0121] S502: Visualize the real-time workload and implementation value loss rate of the working equipment using a curve chart, highlight the overload threshold in the curve chart in the visualization, and judge the real-time value loss rate of the working equipment. When the real-time workload of the working equipment is abnormal, the equipment is in an overload state, and there is a risk of failure, an overload warning is issued; when When the real-time workload of the working equipment is judged to be normal, the work continues.

[0122] The calculated overload threshold of the equipment is used to calculate and judge the workload of the real-time working equipment. When the workload of the equipment is too heavy, the equipment is judged to be in an overload state, which is very likely to cause equipment failure, causing great loss of equipment value. Early warning of equipment failure can avoid equipment failure and reduce the loss of equipment value.

[0123] A digitally processed equipment visualization management system, the equipment visualization management system includes a data collection module, a surplus value index calculation module, a surplus value index function calculation module, a value loss speed function calculation module and an overload warning module;

[0124] The data collection module is used to collect the number of failures, usage time, and service life data of the working equipment in history;

[0125] The residual value index calculation module is used to calculate the influence coefficient of the failure on the use time according to the number of failures and the lost use time of the equipment in the collected history, and calculate the residual value index of each equipment in combination with the service life of the equipment;

[0126] The residual value index function calculation module is used to draw a curve chart using the workload and residual value index of each device in the collected history, and analyze and calculate the curve chart to obtain the workload and residual value index function;

[0127] The value loss rate function calculation module is used to derive the workload and surplus value index functions, and use the derived functions as workload and value loss rate functions;

[0128] The overload warning module is used to calculate the work load of the real-time working equipment to obtain the real-time value loss rate, and determine whether the real-time working equipment is in an overload state according to the overload threshold.

[0129] The residual value index calculation module includes a fault influence coefficient calculation unit and a function calculation unit;

[0130] The fault influence coefficient calculation unit is used to analyze the number of equipment failures and lost usage time in history, draw a curve graph, and calculate the slope of the image in the curve graph as the influence coefficient of the failure on the usage time;

[0131] The function calculation unit is used to collect the use time and service life of the equipment, and calculate the residual value index of each equipment in the working environment in combination with the calculated failure impact coefficient.

[0132] The surplus value index function calculation module includes a historical equipment surplus value index calculation unit and a surplus value index function calculation unit;

[0133] The historical equipment surplus value index calculation unit is used to extract the usage time of the equipment in the collected history and calculate the surplus value index of the equipment under different work loads in the history;

[0134] The surplus value index function calculation unit is used to draw a curve chart of the work load and surplus value index of the equipment in the collected history, analyze the curve chart, and calculate the work load and surplus value index function of each equipment.

[0135] The value loss speed function calculation module includes a derivation unit and an overload threshold calculation unit;

[0136] The derivation unit is used to derive the workload and residual value index function of each device, and use the derived function as the workload and value loss rate function of the device;

[0137] The overload threshold calculation unit is used to collect the workload when failures occur in history, and calculate the overload threshold using the workload and the value loss function.

[0138] Example 1: Manage the value of composite material manufacturing equipment at a certain location, collect the number of failures and lost usage time in the history of scrapped equipment, and draw a curve chart, such as Figure 3 As shown, the slope between every two points is calculated using the formula: , and then the average value is calculated to obtain the failure influence coefficient of 8; there are three types of equipment in the working environment, and their service life is 40, 50, and 60 respectively;

[0139] The service life of two devices in the working environment is collected as 40 and 60, the use time is 10 and 15, and the number of failures is 3 and 1. The residual value index is calculated by combining the influence coefficient. The formula is: , the calculated surplus value indexes are 15% and 62% respectively;

[0140] Collect the equipment workload in history, calculate the surplus value index in history and draw a curve chart, such as Figure 4 As shown, after analysis, the function expression is obtained: ; Derivative the calculated function expression, and get the workload and value loss rate function as ;

[0141] The workload of faulty devices in history is collected, and the burden threshold is calculated to be 9, the overload threshold is calculated to be -9, and the real-time workload of the two devices is extracted to be 6 and 11; the real-time value loss rate is calculated to be -6 and -11, and the second device is judged to be in an overload state and an early warning is issued.

[0142] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0143] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A digitally processed device visualization management method, characterized in that: The method comprises the following steps: S100, collecting the failure times and usage time data of scrapped equipment in history, drawing a curve chart using the failure times and usage time of scrapped equipment, calculating the influence coefficient of equipment failure on equipment usage time, extracting the usage time of each type of equipment that has not failed in history, and calculating the normal service life of each type of equipment; S200, extracting the usage time and number of failures of all equipment in the working environment, and calculating the residual value index of each equipment in combination with the normal service life and the failure impact coefficient; S300, collecting the records of each device in operation in history, extracting the work load and surplus value index of the device in the records, drawing a graph of the work load and surplus value index according to the equipment operation records in history, and calculating the function expression of the graph of the work load and surplus value index; S400, after drawing the workload and surplus value index curve, deriving the workload and surplus value index function expression to obtain the workload and value loss rate function, collecting the workload of the equipment that has failed in history to calculate the workload threshold, and then determining the overload threshold based on the workload; S500. When the equipment is working, the workload of each device is extracted in real time, and the value loss rate under the real-time workload is calculated using the workload and value loss rate function. The real-time equipment workload and value loss curve are visualized and output using an oscilloscope to determine in real time whether the real-time workload is in an overload state and issue a warning.

2. The method for visual management of digitally processed equipment according to claim 1, characterized in that: The specific steps of calculating the influence coefficient of equipment failure on equipment usage time in S100 are: S101. The number of failures of scrapped equipment in the collection history is , represents the number of failures of the 1st, 2nd, 3rd, ..., nth scrapped equipment in the collected history; the usage time data of the scrapped equipment in the collected history is , Indicates the usage time of the 1st, 2nd, 3rd, ..., nth scrapped equipment in the collected history, where n is a positive integer; S102. Collect the usage time of each device in the history without failure. , It represents the usage time of the 1st, 2nd, 3rd, ..., pth type of equipment in the collected history without failure, where p is a positive integer; the usage time without failure of each type of equipment is collected k times, and the average value is calculated as the normal service life of each type of equipment. The formula is , where T represents the normal service life of each device, W represents the usage time of each device when no failure occurs, and k represents the number of usage times of each device when failure occurs. The normal service life of each device is finally obtained as , Indicates the normal service life of equipment of type 1, 2, 3, ..., p; The usage time of each device when it fails and when it does not fail is used to calculate the usage time lost due to the failure. The formula is: , where Dc represents the usage time lost due to failure of each device; S103, using the collected failure times of scrapped equipment as independent variables and the loss duration data as variable construction points , ; Use the number of failures and lost usage time of n devices to construct a point set containing n points; Use the points in the point set to draw a curve graph by tracing points and connecting lines; Select two points in the curve graph to calculate the slope of the line between the two selected points. The formula is: ； In the formula, a represents the slope of the line between the two selected points. , Indicates the ordinate and abscissa of the first point among the two points. , Indicates the ordinate and abscissa of the latter of the two selected points; all points in the curve are selected in pairs and calculated to obtain all the slope values. , Indicates the calculated 1st, 2nd, 3rd, ..., The slope of the line connecting the two points is calculated using The slope of the connecting line is fitted to obtain the influence coefficient of the number of failures on the equipment service life in the curve diagram. The formula is: ； In the formula, Im represents the influence coefficient of the number of failures on the equipment usage time, and a represents the slope between every two points in the calculation.

3. A digitally processed device visualization management method according to claim 2, characterized in that: The specific steps of calculating the residual value index of each device in S200 by combining the normal service life and the failure impact coefficient are as follows: S201. Collect the usage time of each device in the working environment. , represents the usage time of the 1st, 2nd, 3rd, ..., qth devices in the working environment, and the corresponding number of failures of each device is collected as , Indicates the number of failures of the 1st, 2nd, 3rd, ..., qth device, where q is a positive integer; determines the type of each device in the working environment, and finds the corresponding normal service life of the device according to the type of each device; S202. Calculate the residual value index of each device using the collected usage time, number of failures and normal service life of each device. The formula is: ； In the formula, Va represents the residual value index of each device, and Im represents the influence coefficient of the number of failures on the service life. After calculation, the residual value index of each device in the working environment is obtained as follows: , Represents the residual value index of the 1st, 2nd, 3rd, ..., qth equipment in the working environment.

4. The method for visual management of digitally processed equipment according to claim 3, characterized in that: The specific steps of calculating the functional expression of the workload and surplus value index curve graph in S300 are: S301, collect the records of each non-failure device working under different workloads in history, and extract different workloads as , Indicates the workload in the 1st, 2nd, 3rd, ..., gth equipment work records in the collected history; extracts the remaining usage time of the equipment in the record, and uses the remaining usage time to calculate the residual value index of the equipment in the record. The formula is: ； In the formula, Va_h represents the residual value index of the equipment in the record, E represents the remaining use time of the equipment in the extracted record, and T represents the normal service life of the equipment in the record; the residual value indexes corresponding to the g extracted workloads are calculated, and the g residual value indexes are obtained as follows: , Represents the residual value index corresponding to the equipment workload in the extraction record; S302, using the workload and surplus value index calculated in advance to draw a curve graph, with the workload as the independent variable and the surplus value index as the variable, calculate the expression of the curve in the curve graph, and set the expression as , the values ​​of the independent variable and the variable are both greater than 0; b1 in the expression is the coefficient of the quadratic term, and b2 represents the constant in the expression; analyze the curve image, the vertex of the curve image is on the ordinate, and the point Substitute the expression into the equation and get , point Substitute it into the expression to calculate the value of b1, the formula is: ； In the formula, Indicates the maximum value of the vertical axis in the curve graph. Represents the maximum value of the horizontal axis; finally, the functional expression of the workload and surplus value index of each equipment in the working environment is obtained through calculation.

5. The method for visual management of digitally processed equipment according to claim 4, characterized in that: The specific steps of determining the overload threshold based on workload in S400 are: S401. The function expression for extracting the workload and surplus value index of each equipment in the working environment is: , The function expression of the extracted workload and surplus value index of the first, second, third, ..., p types of equipment is represented; the function expression of the extracted workload and surplus value index of the p types of equipment is derived, and the derived function expression is obtained as follows: ； In the expression, represents the derived surplus value index, and the derived surplus value index is used as the value loss rate Vs, Represents the slope of the derivative function, and the functional expressions of the equipment's workload and value loss rate are obtained as follows: ； The functional expressions of the workload and surplus value index of each equipment are derived, and the functional expressions of the workload and value loss rate of each equipment are obtained as follows: , The functional expressions for the workload and value loss rate of the 1st, 2nd, 3rd, ..., pth equipment are represented; S402, collecting the workload of each device when a failure occurs in history, and calculating the workload threshold, the formula is: ,In the formula, Bu_y represents the workload threshold of each device, Bu_g represents the workload of the device when a failure occurs in the collected history, r represents the number of workloads of the device when a failure occurs in the collected history, and st represents the standard deviation of r workloads in the history; The calculated threshold value of each workload Bu_y is introduced into the workload and value loss rate function expression to calculate the overload threshold value. The formula is: ； In the formula, Vs_y represents the calculated overload threshold of each device, and the overload thresholds of p types of devices are calculated to obtain p overload thresholds.

6. A digitally processed device visualization management method according to claim 5, characterized in that: The specific steps of determining in real time whether the real-time workload is in an overload state and issuing an early warning in S500 are: S501. When the devices in the working environment are working, extract the real-time workload of each device as , The real-time workload of the extracted 1st, 2nd, 3rd, ..., qth equipment is represented. The real-time workload of each equipment extracted is brought into the workload and value loss rate function expression of the corresponding type of equipment to calculate the real-time value loss rate of the working equipment. The formula is: ； In the formula, Vs_s represents the real-time value loss rate of the calculated working equipment; S502: Visualize the real-time workload and implementation value loss rate of the working equipment using a curve chart, highlight the overload threshold in the curve chart in the visualization, and judge the real-time value loss rate of the working equipment. When the real-time workload of the working equipment is abnormal, the equipment is in an overload state, and there is a risk of failure, an overload warning is issued; when When the real-time workload of the working equipment is judged to be normal, the work continues.

7. A digital equipment visualization management system, characterized by: The equipment visualization management system includes a data collection module, a surplus value index calculation module, a surplus value index function calculation module, a value loss speed function calculation module and an overload warning module; The data collection module is used to collect the number of failures, usage time, and service life data of the working equipment in history; The residual value index calculation module is used to calculate the influence coefficient of the failure on the lost use time according to the number of failures and the use time of the equipment in the collected history, and calculate the residual value index of each equipment in combination with the service life of the equipment; The residual value index function calculation module is used to draw a curve chart using the workload and residual value index of each device in the collected history, and analyze and calculate the curve chart to obtain the workload and residual value index function; The value loss rate function calculation module is used to derive the workload and surplus value index functions, and use the derived functions as workload and value loss rate functions; The overload warning module is used to calculate the work load of the real-time working equipment to obtain the real-time value loss rate, and determine whether the real-time working equipment is in an overload state according to the overload threshold.

8. A digital equipment visualization management system according to claim 7, characterized in that: The remaining value index calculation module includes a fault influence coefficient calculation unit and a function calculation unit; The fault influence coefficient calculation unit is used to analyze the number of equipment failures and lost usage time in history, draw a curve graph, and calculate the slope of the image in the curve graph as the influence coefficient of the failure on the usage time; The function calculation unit is used to collect the use time and service life of the equipment, and calculate the residual value index of each equipment in the working environment in combination with the calculated failure impact coefficient.

9. A digital equipment visualization management system according to claim 7, characterized in that: The surplus value index function calculation module includes a historical equipment surplus value index calculation unit and a surplus value index function calculation unit; The historical equipment surplus value index calculation unit is used to extract the usage time of the equipment in the collected history and calculate the surplus value index of the equipment under different work loads in the history; The surplus value index function calculation unit is used to draw a curve chart of the work load and surplus value index of the equipment in the collected history, analyze the curve chart, and calculate the work load and surplus value index function of each equipment.

10. The digital equipment visualization management system according to claim 7, characterized in that: The value loss speed function calculation module includes a derivation unit and an overload threshold calculation unit; The derivation unit is used to derive the workload and residual value index function of each device, and use the derived function as the workload and value loss rate function of the device; The overload threshold calculation unit is used to collect the workload when failures occur in history, and calculate the overload threshold using the workload and the value loss function.

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