WO2023130710A1

WO2023130710A1 - Equipment performance determination method and related apparatus

Info

Publication number: WO2023130710A1
Application number: PCT/CN2022/106542
Authority: WO
Inventors: 关颖; 孙广源
Original assignee: 青岛海尔科技有限公司; 海尔智家股份有限公司
Priority date: 2022-01-05
Filing date: 2022-07-19
Publication date: 2023-07-13
Also published as: CN114418364A

Abstract

The present disclosure provides an equipment performance determination method and a related apparatus. A theoretical punching quantity of target equipment is determined according to technological parameters of a mold. An accumulated punching quantity of the target equipment in a target time period is acquired. A performance rate of the target equipment is determined by means of the theoretical punching quantity and the accumulated punching quantity. The overall equipment effectiveness of the target equipment is determined on the basis of the performance rate.

Description

A method for determining equipment performance and related devices

This disclosure claims the priority of the Chinese patent application with the application number 202210008851.5 and the title of the invention "Method for Determining Equipment Performance and Related Devices" submitted to the China Patent Office on January 05, 2022, the entire contents of which are incorporated by reference in this disclosure .

technical field

The present disclosure relates to the technical field of industrial production, in particular to a method for determining equipment performance and related devices.

Background technique

Overall Equipment Effectiveness (OEE) is an index to measure the quality of maintenance. When it is used for all production equipment in a factory, it is easy to find the equipment bottleneck that restricts the improvement of the equipment's operating rate by analyzing the calculation results of OEE.

Punching machine is a special equipment for the first process in the production process of the two units (evaporator and condenser) of the air conditioner, and the two units process is the bottleneck process in the production process of the air conditioner. Real-time collection of the operating status of the film processor production process and real-time OEE analysis and calculation in the collection data stream is an important part of realizing the transparency of the air-conditioning pre-process production. However, the OEE obtained in related technologies often fluctuates, resulting in inaccurate OEE analysis and calculation.

Contents of the invention

In view of the above problems, the present disclosure provides a method for determining equipment performance and a related device, which are used to improve the accuracy of the performance utilization rate, and further improve the accuracy of the overall equipment efficiency.

Based on this, the embodiment of the present disclosure discloses the following technical solutions:

On the one hand, an embodiment of the present disclosure provides a method for determining equipment performance. The method includes: acquiring the theoretical punching number of the target equipment, the theoretical punching number is determined according to the mold process parameters; The cumulative punching number of the target device; determining the performance utilization rate according to the cumulative punching number and the theoretical punching number; determining the overall equipment efficiency of the target device according to the performance utilization rate.

On the other hand, an embodiment of the present disclosure provides an apparatus for determining device performance, wherein the apparatus includes: a first acquiring unit, a second acquiring unit, a first determining unit, and a second determining unit; the first acquiring unit , set to obtain the theoretical number of punching holes of the target equipment, the theoretical number of punching holes is determined according to the mold process parameters; the second acquisition unit is set to obtain the cumulative number of punching holes of the target equipment within the target period; The first determination unit is configured to determine the performance utilization rate according to the cumulative number of punching holes and the theoretical punching number; the second determination unit is configured to determine the performance utilization rate of the target device according to the performance utilization rate Overall equipment efficiency.

In another aspect, the present disclosure provides a computer device comprising a processor and a memory:

the memory is configured to store program code and transmit the program code to the processor;

The processor is configured to execute the method described in the above aspect according to the instructions in the program code.

In another aspect, the present disclosure provides a computer-readable storage medium configured to store a computer program, and the computer program is configured to execute the method described in the above aspects.

On the other hand, an embodiment of the present disclosure provides a computer program product or computer program, where the computer program product or computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the method described in the above aspects.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments described in the present disclosure. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a flowchart of a method for determining device performance provided by an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of an acquisition model of a processing machine device provided by an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of a time utilization algorithm model of a processor provided by an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a performance utilization algorithm model of a processor provided by an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of an apparatus for determining device performance provided by an embodiment of the present disclosure;

FIG. 6 is a structural diagram of a computer device provided by an embodiment of the present disclosure.

Detailed ways

In order to enable those skilled in the art to better understand the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is a part of the embodiments of the present disclosure, but not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present disclosure.

Each production equipment has its own theoretical production capacity, which must be realized without any interference and quality loss. OEE is used to express the ratio of actual production capacity relative to theoretical production capacity, and it is an independent measurement tool. Let's first explain OEE theoretically.

OEE is composed of three key elements: availability rate, performance and quality index, that is, OEE=availability rate×performance index×quality index.

Among them, availability rate = operating time/planned working time, which is used to evaluate the loss caused by downtime, including any event that causes downtime in planned production. Performance index = ideal cycle time / actual cycle time = ideal cycle time / (operation time / total output) = (total output / operation time) / production rate, performance is used to evaluate the loss of production speed, including any Factors that do not run at maximum speed. Quality index = good product/total output, the quality index is used to evaluate the loss of quality, and it is used to reflect products that do not meet the quality requirements (including reworked products).

In the actual OEE analysis and calculation, for the sake of operability, another calculation formula of OEE is generally used to analyze and calculate OEE, that is, OEE = time utilization rate × performance utilization rate × qualified product rate, this method is for A common paradigm for OEE processing of all devices, but in the calculation and processing of OEE for specific devices in specific scenarios, it is necessary to define concrete algorithms for time utilization rate, performance utilization rate, and qualified product rate according to specific scenarios and devices .

After research and analysis, it is found that among the three important factors of OEE analysis and calculation (time utilization rate, performance utilization rate, and qualified product rate), the main reason for the fluctuation of OEE analysis calculation comes from performance utilization rate. Among them, performance utilization rate = standard beat/actual beat, the standard beat is the theoretical time for processing a film processor from the beginning to the end, and the actual beat is the actual time for processing a film processor from the beginning to the end. The standard tact in the performance utilization rate is greatly affected by the processed object in actual calculation. When there are many models of processed objects, the standard beats of different models are quite different. However, in order to facilitate the calculation of OEE analysis and calculation for different processed product models, the same standard beat is often used for analysis and calculation, resulting in the collection flow calculation. The performance utilization rate is unstable, which leads to fluctuations in OEE analysis and calculation, which cannot truly reflect the actual equipment performance level at the production site.

That is to say, in the monitoring of the OEE of the two air-conditioning machine punching processes, the fluctuation of the performance utilization rate due to the difference in the model is the key factor affecting the accurate measurement of the OEE of the punching equipment. Based on this, an embodiment of the present disclosure provides a method for determining the performance of a device. By obtaining the theoretical number of punches and the accumulated number of punches of the target device, the performance utilization rate of the target device is determined, and the target device is determined based on the performance utilization rate. Overall equipment efficiency. Because, through the analysis of the processing principle of the punching machine and the processing object, the factors affecting the performance utilization rate are explored, and the performance utilization rate is determined by the number of theoretical punching holes and the cumulative number of punching holes, which excludes the impact of different product models on the performance utilization rate. The distortion effect caused by the utilization rate improves the accuracy of the performance utilization rate, thereby improving the accuracy of the OEE.

A method for determining device performance provided by an embodiment of the present disclosure will be introduced below with reference to FIG. 1 . Referring to FIG. 1 , this figure is a flowchart of a method for determining device performance provided by an embodiment of the present disclosure, and the method may include S101-S104.

S101: Obtain the theoretical punching number of the target device.

It should be noted that the number of theoretical punching holes is different for different types of target devices. Among them, the theoretical number of punching holes is the number of holes that should be punched in one second of theoretical operation, which can be determined by the mold process parameters of the target equipment. Among them, the mold process parameters required to determine the theoretical punching number are specifically the contract punching speed, The number of die holes, the number of die steps, the number of die rows, and the number of theoretical punching holes can be determined by referring to the following formula:

Theoretical punching number = contract punching speed/60×number of mold holes×number of mold steps×number of mold rows;

Among them, the contract punching speed is the highest stamping speed of the target equipment recorded in the contract when the target equipment is purchased. It should be noted that the measurement unit of the stamping speed is the number of pieces/minute.

S102: Obtain the cumulative number of punching holes of the target device within the target time period.

The embodiment of the present disclosure does not specifically limit the target time period, and those skilled in the art can set it according to actual needs. For example, the target time period is weekdays.

Wherein, the accumulative number of punching holes is the sum of the number of punching holes of the target equipment within the target time period. Embodiments of the present disclosure do not specifically limit the manner of obtaining the accumulated number of punching holes, for example, counting by installing a counter. The following is an example based on the mold process parameters and the time counter.

S1021: Obtain the actual acceleration of the target device.

Among them, the actual punching speed of the target equipment is the actual punching speed of the target equipment during production, which may not reach the contracted punching speed.

S1022: For one second in the target time period, determine the current number of punching holes according to the actual punching speed, the number of mold steps, the number of mold rows and the number of mold holes.

Among them, the mold process parameters required to determine the cumulative number of punching holes are specifically the number of mold steps, the number of mold rows and the number of mold holes. The specific method is to determine the current punching number according to the actual punching speed, the number of mold steps and the number of mold rows, and determine the current number of punching holes according to the current punching number and the number of mold holes. Therefore, by accumulating the current number of punching holes, the cumulative number of punching holes in one second can be obtained, and then the cumulative number of punching holes in the target period can be obtained.

It should be noted that the number of die steps, die rows and die holes required to determine the cumulative number of punching holes is the same as the number of die steps, die rows and die holes required to determine the theoretical punching number in S101 parameter.

S1023: Determine the accumulated punching number of the target device within the target time period according to the current punching number.

As a possible implementation, you can start a 1-second regular scan Timer, and the timing event triggers the algorithm, as follows:

Timer. timer(){

Current punching number = actual punching speed/60×number of mold columns×number of mold steps;

Current number of punching holes = current number of punching pieces × number of mold holes;

Cumulative punching number = cumulative punching number + current punching number;

}

S103: Determine the performance utilization rate according to the accumulated number of punching holes and the theoretical number of punching holes.

From the above analysis, it can be seen that the problem of inaccurate performance utilization rate is that the standard tact of different models is very different, but in the actual calculation process, this difference is ignored, and the standard tact of the universal model is used as the standard tact of all models. , in scenarios where the tempo of models differs greatly, there will be a problem that the calculated performance utilization rate cannot accurately reflect the actual performance of the device.

Therefore, combined with the operation mechanism of the film processor, a method of accurately measuring the performance utilization rate is explored, that is, the performance utilization rate is converted into real-time calculation and statistics based on the theoretical number of punching holes and the cumulative number of punching holes, eliminating the gap between different models of standard beats. Therefore, after converting it to a measurement by the number of holes, the effect of the model difference is eliminated. It eliminates the influence of model differences on the fluctuation of the performance utilization rate, and can truly reflect the real performance utilization rate of the film processing machine. It realizes real-time and stable OEE calculation in the collection flow, so as to truly reflect the true efficiency level of the equipment production and processing process.

As a possible implementation method, the performance utilization rate can be determined according to the duration of the target period, the cumulative number of punches, and the theoretical number of punches. The specific derivation process is as follows:

Performance utilization rate = standard beat/actual beat;

Among them, the standard beat is the theoretical time consumed for punching one hole = consumed time/theoretical output to be completed, consumed time = running time/(theoretical number of punched holes×running time); actual beat=running time/accumulated actual number of punched holes. It should be noted that the running duration is the duration that needs to be counted, that is, the target period referred to in the embodiment of the present disclosure.

To sum up: performance utilization rate = cumulative number of punching holes / (theoretical number of punching holes × target time period).

S104: Determine the overall equipment efficiency of the target equipment according to the performance utilization rate.

As a possible implementation method, the overall equipment efficiency can be determined according to the performance utilization rate, time utilization rate and qualified product rate. For details, please refer to the following formula:

OEE = time utilization rate × performance utilization rate × qualified product rate.

It can be seen from the above technical scheme that the theoretical punching number of the target equipment is determined according to the mold process parameters, the cumulative punching number of the target equipment within the target period is obtained, and the performance utilization rate of the target equipment is determined by the theoretical punching number and the cumulative punching number. The overall equipment efficiency of the target equipment is determined based on performance utilization. Because, through the analysis of the processing principle of the punching machine and the processing object, the factors affecting the performance utilization rate are explored, and the performance utilization rate is determined by the number of theoretical punching holes and the cumulative number of punching holes, which excludes the impact of different product models on the performance utilization rate. The distortion effect caused by the utilization rate improves the accuracy of the performance utilization rate, thereby improving the accuracy of the overall equipment efficiency.

As a possible implementation, the time utilization rate is determined in the following manner: determining the power-on time and running time according to the state of the target device, and determining the time utilization according to the power-on time and running time. Please refer to the following formula for details:

Time utilization rate = running time/starting time.

Wherein, the state of the target device is divided into three types, namely, a shutdown state, a standby state and a running state. As a possible implementation manner, the state of the target device may be judged according to the host start signal and the host stop signal of the target device. The judgment algorithm is as follows:

If (host starts no signal output || host start signal == no start) running state=shutdown state (0);

Elseif (host start signal==start && host stop signal==1) running state=standby state (1);

Else running state = running (2).

As a possible implementation, you can start a 1-second regular scanning Timer, and a timing event trigger algorithm. In this algorithm, the state of the target device is X, Y1 is the boot time, Y2 is the shutdown time, Y3 is the standby time, and Y4 is Run time. details as follows:

Timer. timer(){

X = read(equip. RunState());

If(X==0) {

Y2=Y2+1;

}

Elseif(X==1){

Y1=Y1+1;

Y3 = Y3 + 1;

}

Else {

Y4=Y4+1;

}

}.

As a possible implementation, the output of the target device can also be determined by the actual number of punches. Specifically, if the state of the target device is running, and the actual number of punches is equal to the set number of punches, and the actual number of punches Growth, the output of stamped tablets increased by 1. The specific expression is as follows:

If (status==running state && actual number of punches==set number of punches && actual number of punches increases) output count + 1;

Among them, the set number of punches is the quantity required to produce one product. When the target equipment is in the running state, the actual number of punches produced by its processing is equal to the set number of punches, indicating that a product has been completed at this time. For production, in order to avoid the impact of standby and other situations, it is also necessary to set the actual number of punches to increase, and the output count is increased by 1 at this time.

In order to make the technical solutions provided by the embodiments of the present disclosure clearer, the method for determining the performance of the equipment provided by the embodiments of the present disclosure will be described below in conjunction with FIGS. 2-4 in an embodiment of production of two air conditioners.

In the production process of air conditioners and two devices, it is possible to monitor the OEE of the two devices of the air conditioner, collect the data generated by the target equipment in real time, and perform real-time calculation of OEE.

Referring to FIG. 2 , this figure is a schematic diagram of an acquisition model of a processing machine device provided by an embodiment of the present disclosure.

The processor acquisition model in FIG. 2 includes a state calculation module 201 , an output count calculation module 202 and a punch count calculation module 203 , and the sampling frequency is 100ms-1000ms.

Wherein, the state calculation module 201 can calculate the state of the target device (stop state, standby state, running state) according to the host start signal and the host stop signal.

The output count calculation module 202 counts the output of punched sheets according to the actual number of punched sheets and the set number of punched sheets when the state of the target equipment is in the running state, such as cumulative output, natural daily output, working daily output, and day shift output , night shift output, etc. As a possible implementation, the sheet type and model of the stamped sheet can also be input as the output counting calculation module 202, and the output of information such as production tact and fin model can also be obtained.

The number of punching holes calculation module 203 can obtain the cumulative number of punching holes according to the actual punching speed and the mold process parameters.

Referring to FIG. 3 , this figure is a schematic diagram of a time utilization algorithm model of a processor provided by an embodiment of the present disclosure.

The time utilization rate algorithm model includes a duration statistics module 301 and a time utilization rate calculation module 302 .

Wherein, the duration statistics module 301 can count the startup duration, shutdown duration, standby duration, and running duration according to the state of the target device, and takes working days as the accounting period.

The time utilization calculation module 302 obtains the time utilization according to the boot time and the running time, and the calculation frequency is 1 second.

Referring to FIG. 4 , this figure is a schematic diagram of a performance utilization algorithm model of a processor provided by an embodiment of the present disclosure.

The performance utilization algorithm model includes a theoretical punching number calculation module 401 and a performance utilization calculation module 402 .

Wherein, the theoretical punching number calculation module 401 can obtain the theoretical punching number according to the contract punching speed, the number of die holes, the number of die steps and the number of die rows.

The performance utilization rate calculation module 402 obtains the performance utilization rate according to the accumulated number of punching holes and the theoretical number of punching holes, and the calculation frequency is 1 second.

By taking 128 film processors from 9 factories as samples, domestic equipment: Jingda (54 units), Yang forging (60 units), imported equipment: Rigao (14 units), household air conditioners (evaporators, condensers) ), commercial air conditioners (evaporators, condensers), and 249 processed products involving product models were tested, and good results were obtained.

It can be known from the above technical solution that in the process of the two air conditioners, the calculation of the performance utilization rate of the punching machine is converted into the ratio of the theoretical punching number to the actual punching number. Therefore, during the collection process, it is possible to independently complete the real-time calculation of OEE based on the sampled data without integrating data from other business systems, that is, without accessing the production data of a third-party system. Calculate the performance utilization rate by the number of holes, eliminate the OEE fluctuations caused by different product models and sizes due to large differences in theoretical cycles, and improve the stability of the model.

In addition to the method for determining equipment performance provided by the embodiment of the present disclosure, an apparatus for determining equipment performance is also provided, as shown in FIG. Two determination unit 504;

The first acquisition unit 501 is configured to acquire the theoretical number of punching holes of the target equipment, and the theoretical number of punching holes is determined according to the mold process parameters;

The second acquiring unit 502 is configured to acquire the cumulative number of punching holes of the target device within the target period;

The first determining unit 503 is configured to determine the performance utilization rate according to the accumulated number of punching holes and the theoretical number of punching holes;

The second determining unit 504 is configured to determine the overall equipment efficiency of the target equipment according to the performance utilization rate.

As a possible implementation, the first determining unit 503 is set to:

A performance utilization rate is determined according to the duration of the target period, the accumulated number of punching holes and the theoretical number of punching holes.

As a possible implementation, the second acquiring unit 502 is set to:

Acquiring the actual speed of the target device;

For one second in the target time period, determine the current number of punching holes according to the actual punching speed, the number of mold steps, the number of mold columns and the number of mold holes;

The cumulative number of punching holes of the target device within the target time period is determined according to the current number of punching holes.

As a possible implementation manner, the device further includes a third determination unit configured to:

Determine the power-on time and running time according to the state of the target device, and the state includes a shutdown state, a standby state and a running state;

A time utilization rate is determined according to the boot time and the running time.

As a possible implementation, the second determining unit 504 is set to:

Obtain qualified product rate;

The overall equipment efficiency is determined according to the performance utilization rate, the time utilization rate and the qualified product rate.

As a possible implementation, the device also includes a yield calculation unit configured to:

If the state is the running state, and the actual number of punched sheets is equal to the set number of punched sheets, and the actual number of punched sheets increases, the output of punched sheets increases by 1.

An embodiment of the present disclosure also provides a computer device, see FIG. 6, which shows a structural diagram of a computer device provided by an embodiment of the present disclosure. As shown in FIG. 6, the device includes a processor 610 and a memory 620:

The memory 610 is configured to store program codes and transmit the program codes to the processor;

The processor 620 is configured to execute any method for determining device performance provided in the foregoing embodiments according to instructions in the program code.

An embodiment of the present disclosure provides a computer-readable storage medium, where the computer-readable storage medium is configured to store a computer program, and the computer program is used to execute any method for determining device performance provided in the foregoing embodiments.

An embodiment of the present disclosure also provides a computer program product or computer program, where the computer program product or computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the method for determining device performance provided in various optional implementation manners of the above aspect.

It should be noted that each embodiment in this specification is described in a progressive manner, each embodiment focuses on the differences from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the system or device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for relevant details, please refer to the description of the method part.

It should be understood that in the present disclosure, "at least one (item)" means one or more, and "plurality" means two or more. "And/or" is used to describe the association relationship of associated objects, indicating that there can be three types of relationships, for example, "A and/or B" can mean: only A exists, only B exists, and A and B exist at the same time , where A and B can be singular or plural. The character "/" generally indicates that the contextual objects are an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one item (piece) of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c ", where a, b, c can be single or multiple.

It should also 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 that these entities or operations Any such actual relationship or order exists between. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The steps of the methods or algorithms described in connection with the embodiments disclosed herein may be directly implemented by hardware, software modules executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

A method for determining equipment performance, the method comprising:

Obtaining the theoretical number of punching holes of the target equipment, the theoretical number of punching holes is determined according to the mold process parameters;

Obtain the cumulative number of punching holes of the target device within the target period;

determining the performance utilization rate according to the accumulated number of punching holes and the theoretical number of punching holes;

The overall equipment efficiency of the target equipment is determined according to the performance utilization rate.
The method according to claim 1, wherein said determining the performance utilization rate according to the accumulated number of punching holes and the theoretical number of punching holes comprises:

A performance utilization rate is determined according to the duration of the target period, the accumulated number of punching holes and the theoretical number of punching holes.
The method according to claim 1 or 2, wherein said acquiring the cumulative number of punching holes of said target device within a target period comprises:

Acquiring the actual speed of the target device;

For one second in the target time period, determine the current number of punching holes according to the actual punching speed, the number of mold steps, the number of mold columns and the number of mold holes;

The cumulative number of punching holes of the target device within the target time period is determined according to the current number of punching holes.
The method according to any one of claims 1 to 3, wherein the method further comprises:

Determine the power-on time and running time according to the state of the target device, and the state includes a shutdown state, a standby state and a running state;

A time utilization rate is determined according to the boot time and the running time.
The method according to claim 4, wherein said determining the overall equipment efficiency according to said performance utilization rate comprises:

Obtain qualified product rate;

The overall equipment efficiency is determined according to the performance utilization rate, the time utilization rate and the qualified product rate.
The method according to any one of claims 1 to 5, wherein the method further comprises:

If the state is the running state, and the actual number of punched sheets is equal to the set number of punched sheets, and the actual number of punched sheets increases, the output of punched sheets increases by 1.
An apparatus for determining equipment performance, the apparatus comprising: a first acquiring unit, a second acquiring unit, a first determining unit, and a second determining unit;

The first acquisition unit is configured to acquire the theoretical number of punching holes of the target equipment, and the theoretical number of punching holes is determined according to the mold process parameters;

The second acquisition unit is configured to acquire the cumulative number of punching holes of the target device within the target period;

The first determining unit is configured to determine a performance utilization rate according to the accumulated number of punching holes and the theoretical number of punching holes;

The second determination unit is configured to determine the overall equipment efficiency of the target equipment according to the performance utilization rate.
The device according to claim 7, wherein the first determining unit is further configured to determine a performance utilization rate according to the duration of the target period, the accumulated number of punching holes, and the theoretical number of punching holes.
The device according to claim 7 or 8, wherein the second acquisition unit is further configured to acquire the actual speed of the target device; for one second within the target period, according to the actual speed , the number of mold steps, the number of mold columns and the number of mold holes determine the current number of punching holes; determine the cumulative number of punching holes of the target device within the target period according to the current number of punching holes.
The device according to any one of claims 7 to 9, wherein the device further comprises a third determining unit, configured to:

Determine the power-on time and running time according to the state of the target device, and the state includes a shutdown state, a standby state and a running state; determine a time utilization rate according to the power-on time and the running time.
The device according to claim 10, wherein the second determination unit is set to:

Obtain qualified product rate;

The overall equipment efficiency is determined according to the performance utilization rate, the time utilization rate and the qualified product rate.
The device according to any one of claims 7 to 11, wherein the device further comprises a yield calculation unit configured to:

If the state is the running state, and the actual number of punched sheets is equal to the set number of punched sheets, and the actual number of punched sheets increases, the output of punched sheets increases by 1.
A computer device comprising a processor and memory:

the memory is configured to store program code and transmit the program code to the processor;

The processor is configured to execute the method according to any one of claims 1-6 according to instructions in the program code.
A computer-readable storage medium configured to store a computer program, the computer program configured to execute the method according to any one of claims 1 to 6.
A computer program product, comprising a computer program or an instruction; when the computer program or the instruction is executed by a processor, the method according to any one of claims 1 to 6 is performed.