Production process management method and equipment thereof, storage medium and electronic equipment

Abstract

The embodiment of the invention provides a production process management method and device, a storage medium and an electronic device. The method is applied to local management equipment and remote management equipment of a perfusion production process, and comprises the following steps: the local management equipment monitors production process data of the perfusion production process, and uploads the production process data to the remote management equipment, the production process data comprises actual pouring time and at least one production efficiency parameter of a pouring production process; the remote management equipment fits the at least one production efficiency parameter and estimates the theoretical perfusion time of the perfusion production process; the remote management equipment determines the production efficiency loss of the perfusion production process by comparing the difference between the actual perfusion time and the theoretical perfusion time; and the remote management equipment verifies the production efficiency loss, and feeds back the production efficiency loss to the local management equipment when the production efficiency loss passes the verification. Therefore, the real production takt is reflected through the production efficiency loss with relatively high accuracy.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a production process management method and equipment, storage medium and electronic equipment thereof. Background Art

[0002] Nowadays, in the food and beverage industry, with the personalization and diversified competition of the market, the market demand is changing and the competition is becoming more and more fierce. In order to improve the utilization rate of equipment and the labor productivity of employees, various enterprises are gradually adopting flexible production. Flexible production emphasizes the extensive coordination and effective use of resources, the rapid response to market demand and quality assurance, the connection efficiency and value adaptation between the main production processes, so as to create good social value and economic benefits. Therefore, how to calculate the production efficiency loss of multiple varieties in flexible production has become an important issue.

[0003] In the related art, the production efficiency loss is usually calculated based on the linear relationship between the average productivity and the rated productivity. The average productivity is usually determined based on the ratio between output and time, or based on the average value of actual productivity, or based on the actual productivity filtered by the rated productivity coefficient. Since the production process may involve equipment suspension due to equipment maintenance or shift change, the accuracy of the average productivity is low, resulting in poor accuracy in the production efficiency loss and failure to reflect the actual production rhythm. Summary of the invention

[0004] In view of this, the embodiments of the present application provide a production process management method and its equipment, storage medium and electronic device to solve or alleviate the problem in the related technology that the production efficiency loss is less accurate and cannot reflect the actual production rhythm.

[0005] According to a first aspect of an embodiment of the present application, a production process management method is provided, which is applied to a local management device and a remote management device of a perfusion production process, and the method comprises: the local management device monitors the production process data of the perfusion production process, and uploads the production process data to the remote management device, wherein the production process data comprises an actual perfusion time, and at least one production efficiency parameter of the perfusion production process; the remote management device fits at least one production efficiency parameter, and estimates a theoretical perfusion time of the perfusion production process; the remote management device determines the production efficiency loss of the perfusion production process by comparing the difference between the actual perfusion time and the theoretical perfusion time; the remote management device performs verification on the production efficiency loss, and feeds back the production efficiency loss to the local management device when the production efficiency loss verification passes.

[0006] In some embodiments of the present application, monitoring the production process data of the perfusion production process includes: monitoring the perfusion time of the perfusion production process of each perfusion product model of the perfusion production process; summarizing the perfusion time of the perfusion production process of each perfusion product model to obtain the actual perfusion time of the perfusion production process.

[0007] In some embodiments of the present application, at least one production efficiency parameter is fitted to estimate the theoretical perfusion time of the perfusion production process, including: estimating the perfusion time of the perfusion production process of each perfusion product model based on at least one production efficiency parameter of the perfusion production process of each perfusion product model; summarizing the estimated perfusion times of the perfusion production processes of each perfusion product model to obtain the theoretical perfusion time of the perfusion production process.

[0008] In some embodiments of the present application, the perfusion time of the perfusion production process of each perfusion product model is estimated based on at least one production efficiency parameter of the perfusion production process of each perfusion product model, including: calculating the ratio of the total production volume of each perfusion product model in the corresponding perfusion time period to the rated production rate of the production equipment of the perfusion product model, as the perfusion time of the perfusion production process of the perfusion product model.

[0009] In some embodiments of the present application, the ratio of the total production volume of each perfusion product model in the corresponding perfusion time period to the rated production rate of the production equipment of the perfusion product model is calculated as the perfusion time of the perfusion production process of the perfusion product model, including: calculating the ratio of the production volume of each perfusion product model in each time interval in the perfusion time period to the rated production rate of the production equipment for producing the perfusion product model; summarizing the ratios corresponding to the perfusion product model and each time interval in the perfusion time period; and determining the summed ratio of the perfusion product model as the perfusion time of the perfusion production process of the perfusion product model.

[0010] In some embodiments of the present application, the production efficiency loss of the perfusion production process is determined by comparing the difference between the actual perfusion time and the theoretical perfusion time, including: inputting the actual perfusion time and the theoretical perfusion time into a productivity loss time model to obtain the production efficiency loss of the perfusion production process, wherein the productivity loss time model is used to determine the corresponding production efficiency loss through the difference between the actual perfusion time and the theoretical perfusion time.

[0011] In some embodiments of the present application, a verification is performed on the production efficiency loss, including: determining whether the production efficiency loss is greater than or equal to a preset balance verification parameter; if the production efficiency loss is greater than or equal to the preset balance verification parameter, determining that the production efficiency loss verification of the perfusion production process has passed; if the production efficiency loss is less than the preset balance verification parameter, determining that the production efficiency loss verification of the perfusion production process has failed, and re-monitoring the production process data of the perfusion production process.

[0012] According to a second aspect of an embodiment of the present application, a production process management device is provided, the device comprising: a monitoring module, a local management device monitors the production process data of a perfusion production process, and uploads the production process data to a remote management device, wherein the production process data comprises an actual perfusion time, and at least one production efficiency parameter of the perfusion production process; an estimation module, the remote management device fits at least one production efficiency parameter, and estimates a theoretical perfusion time of the perfusion production process; a determination module, the remote management device determines the production efficiency loss of the perfusion production process by comparing the difference between the actual perfusion time and the theoretical perfusion time; a feedback module, the remote management device verifies the production efficiency loss, and feeds back the production efficiency loss to the local management device when the production efficiency loss verification passes.

[0013] According to the third aspect of the embodiments of the present application, there is provided an electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; the memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute an operation corresponding to the production process management method of any of the above embodiments.

[0014] According to a fourth aspect of the embodiments of the present application, a computer storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, a production process management method as in any of the above embodiments is implemented.

[0015] According to the production process management method and its equipment, storage medium and electronic device of the embodiment of the present application, the production process data monitored by the local management device is sent to the remote management device for data processing to obtain the actual perfusion time and theoretical perfusion time of the perfusion production process, and then the production efficiency loss with higher accuracy is determined based on the difference between the two, and the production efficiency loss is fed back to the local management device after the production efficiency loss is verified, so that the real production rhythm is reflected through the production efficiency loss with higher accuracy. The local management device can also adjust the production rhythm according to the production efficiency loss to improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0017] Figure 1 A schematic diagram of a production process management method according to an embodiment of the present application;

[0018] Figure 2 is a structural block diagram of a production process management device according to an embodiment of the present application;

[0019] Figure 3 The figure is a structural block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the embodiments of the present application should fall within the scope of protection of the embodiments of the present application.

[0021] The specific implementation of the embodiments of the present application is further explained below in combination with the embodiments of the present application and the accompanying drawings.

[0022] Figure 1 The flowchart of the production process management method according to one embodiment of the present application is shown in FIG. The method is applied to the local management device and the remote management device of the perfusion production process, wherein the local management device can be a terminal device in a production workshop or an enterprise that performs the perfusion production process, and the remote management device can be a server that remotely obtains and processes the production process data transmitted by the local management device, and the local management device and the remote management device realize data transmission through the HTPP protocol, TCP protocol or other communication protocols.

[0023] like Figure 1 As shown, the production process management method includes:

[0024] S11: The local management device monitors the production process data of the perfusion production process and uploads the production process data to the remote management device, wherein the production process data includes the actual perfusion time and at least one production efficiency parameter of the perfusion production process.

[0025] Specifically, the actual filling time includes but is not limited to the time of starting and stopping the production equipment in the filling production process, the filling time and the packaging time. The production efficiency parameters include but are not limited to the production volume (such as the production of bottles or cans, etc.) and the rated production rate of the production equipment (such as the rated speed).

[0026] The local management device (such as the terminal device) monitors and collects the actual perfusion time data such as the start-up time, shutdown time, perfusion time, packaging time, etc. of the production equipment of the perfusion production process in real time or every 1 minute, and uploads it to the remote management device (such as the server) so that the remote management device can obtain the actual perfusion time based on the received data.

[0027] In some embodiments, monitoring the production process data of the perfusion production process includes: monitoring the perfusion time of the perfusion production process of each perfusion product model of the perfusion production process; summarizing the perfusion time of the perfusion production process of each perfusion product model to obtain the actual perfusion time of the perfusion production process.

[0028] It can be understood that the perfusion production process can perfuse different products in different time periods according to production needs. For example, the time for the staff of Class A to perform the perfusion production process is 9:00-12:00 and 13:00-18:00. Among them, the product model perfused from 9:00 to 10:30 is Coca-Cola 500ml, the product model perfused from 11:00 to 12:00 is Coca-Cola 250ml, and the product model perfused from 13:00 to 18:00 is Sprite 500ml. If the actual perfusion time of the perfusion production process performed by the staff of Class A is monitored, the perfusion time of each perfusion product model needs to be counted separately, so as to summarize the perfusion time of the perfusion production process of each perfusion product model and obtain the actual perfusion time of the perfusion production process.

[0029] S12: The remote management device fits at least one production efficiency parameter to estimate the theoretical perfusion time of the perfusion production process.

[0030] Specifically, when the infusion production process produces multiple models of products in sequence, corresponding preparations need to be carried out (such as cleaning the equipment or preparing the containers used for infusion, etc.). When the production equipment that performs the infusion production process fails, it is also necessary to shut down the equipment for maintenance, or for other reasons, the production speed is reduced or even if the production is produced at the rated production rate, the theoretical production volume cannot be completed within the unit time. Therefore, considering the inconsistency between the actual infusion time and the theoretical infusion time, it is necessary to obtain the theoretical infusion time and compare it with the actual infusion time to determine the production efficiency loss of the infusion production process.

[0031] In some embodiments, at least one production efficiency parameter is fitted to estimate the theoretical perfusion time of the perfusion production process, including: estimating the perfusion time of the perfusion production process of each perfusion product model based on at least one production efficiency parameter of the perfusion production process of each perfusion product model; summarizing the estimated perfusion times of the perfusion production processes of each perfusion product model to obtain the theoretical perfusion time of the perfusion production process.

[0032] Exemplarily, a local management device (such as a terminal device) monitors and collects the production volume (such as the output of bottles or cans produced, etc.) and the rated productivity of the production equipment of the filling production process of each filling product model (such as Coca-Cola 500ml, Coca-Cola 250ml, etc.) in real time or every 1 minute, and uploads it to a remote management device (such as a server), so that the remote management device can fit the received data to obtain the theoretical filling time, thereby determining the production efficiency loss of the filling production process.

[0033] S13: The remote management device determines the production efficiency loss of the perfusion production process by comparing the difference between the actual perfusion time and the theoretical perfusion time;

[0034] S14: The remote management device performs verification on the production efficiency loss, and feeds back the production efficiency loss to the local management device when the verification of the production efficiency loss passes.

[0035] In some embodiments, the production efficiency loss of the perfusion production process is determined by comparing the difference between the actual perfusion time and the theoretical perfusion time, including: inputting the actual perfusion time and the theoretical perfusion time into a productivity loss time model to obtain the production efficiency loss of the perfusion production process, wherein the productivity loss time model is used to determine the corresponding production efficiency loss through the difference between the actual perfusion time and the theoretical perfusion time.

[0036] The productivity loss time model is used to calculate the production efficiency loss in the infusion production process. The production efficiency loss is not the actual speed failing to reach the rated speed, but the production time loss caused by the equipment aging, poor mechanical coordination, etc., which leads to the production speed reduction or rated productivity production, and the theoretical production cannot be completed within the unit time. The production efficiency loss can be expressed by the productivity loss time, which can accurately reflect the overspeed, speed reduction, stable operation, full-load production, and whether the theoretical production rhythm is followed in production equipment productivity (i.e. production speed).

[0037] Exemplarily, the productivity loss time can be calculated by formula (1):

[0038]

[0039] Among them, the rated productivity is the rated productivity of the filling machine (that is, the rated speed of the filling machine), SKU1, SKU2...SKUn represent the models of various filling products. For example, the filling product model corresponding to SKU1 is Coca-Cola 500ml, the filling product model corresponding to SKU2 is Coca-Cola 250ml, the filling product model corresponding to SKU3 is Sprite 500ml, and the filling product model corresponding to SKUn is light soy sauce 500ml.

[0040] When using formula (1) to calculate the productivity loss time, due to the production of multiple products and the requirements of the production process, the filling production process is not continuous production, or the production equipment (such as the filling machine) fails, or the production equipment needs to be cleaned during shift changes, cleaned and disinfected during changes of taste, etc., which makes the average productivity obtained by the ratio of production volume to production time, or by accumulating and summing the actual production productivity and then averaging it, or by filtering the actual production productivity by the rated productivity coefficient, etc., have deviations, so that the determined productivity loss time does not match the actual production process and cannot truly reflect the production rhythm of the filling production process.

[0041] To this end, the remote management device (such as a server) of the present application calculates the difference between the actual infusion time and the theoretical infusion time through the productivity loss time model to obtain the production efficiency loss of the infusion production process. Compared with determining the production efficiency loss based on the average productivity, the present application uses the production process data in the actual production process to determine the actual infusion time and theoretical infusion time that meet the actual production needs, thereby obtaining the production efficiency loss that matches the actual production situation and improving the accuracy of the production efficiency loss. Among them, the productivity loss time model can be designed using formula (2),

[0042]

[0043] Among them, SKU1, SKU2...SKUn represent various infusion product models, such as the infusion product model corresponding to SKU1 is Coca-Cola 500ml, the infusion product model corresponding to SKU2 is Coca-Cola 250ml, the infusion product model corresponding to SKU3 is Sprite 500ml, and the infusion product model corresponding to SKUn is light soy sauce 500ml. X, Y...Z are the infusion time periods corresponding to various infusion product models, and X, Y...Z in the actual infusion time correspond to X, Y...Z in the theoretical infusion time.

[0044] The actual filling time can be monitored and collected by a local management device (such as a terminal device) in real time or every 1 minute for the actual filling time data corresponding to each filling product model of the filling production process, and uploaded to a remote management device (such as a server) so that the remote management device can summarize it. The theoretical filling time can be monitored and collected by a local management device (such as a terminal device) in real time or every 1 minute for the production volume of the filling production process (such as the production of bottles or cans, etc.) and the rated production rate of the production equipment, and uploaded to a remote management device (such as a server) so that the remote management device can fit it according to the received data.

[0045] According to the production process management method of the present application, the production process data monitored by the local management device is sent to the remote management device for data processing to obtain the actual infusion time and theoretical infusion time of the infusion production process, and then the production efficiency loss with higher accuracy is determined based on the difference between the two. After the production efficiency loss is verified, it is fed back to the local management device, so that the real production rhythm is reflected through the production efficiency loss with higher accuracy. The local management device can also adjust the production rhythm according to the production efficiency loss to improve production efficiency.

[0046] In some embodiments, the perfusion time of the perfusion production process of each perfusion product model is estimated based on at least one production efficiency parameter of the perfusion production process of each perfusion product model, including: calculating the ratio of the total production volume of each perfusion product model in the corresponding perfusion time period to the rated production rate of the production equipment of the perfusion product model, as the perfusion time of the perfusion production process of the perfusion product model.

[0047] For example, in Formula 2.2, The theoretical filling time represents the theoretical filling time of the filling product model Coca-Cola 500ml. The filling period of Coca-Cola 500ml is 9:00-10:30. The remote management device obtains the total production volume and the rated production rate (i.e., rated speed) of the filling machine under the filling production process of Coca-Cola 500ml from 9:00 to 10:30 collected and transmitted by the local management device, and estimates the ratio of the total production volume to the rated production rate, and determines it as the filling time of the filling production process of Coca-Cola 500ml.

[0048] Further, in some embodiments, the ratio of the total production volume of each perfusion product model in the corresponding perfusion time period to the rated productivity of the production equipment of the perfusion product model is calculated as the perfusion time of the perfusion production process of the perfusion product model, including: calculating the ratio of the production volume of each perfusion product model in each time interval in the perfusion time period to the rated productivity of the production equipment that produces the perfusion product model; summarizing the ratios corresponding to the perfusion product model and each time interval in the perfusion time period; and determining the summarized ratio of the perfusion product model as the perfusion time of the perfusion production process of the perfusion product model.

[0049] Specifically, the production volume monitored by the local management device is usually real-time data, so the production volume transmitted to the remote management device is also real-time data. In order to calculate the ratio of the total production volume of each perfusion product model in the corresponding perfusion period to the rated production rate of the production equipment under the perfusion production process, it is necessary to summarize the received data. Among them, the rated production rates of production equipment producing different perfusion product models are not the same, and are determined according to actual production conditions.

[0050] For example, refer to the following formula 2.3

[0051]

[0052] The theoretical filling time of the representative filling product model is Coca-Cola 500ml. The filling period of Coca-Cola 500ml is 9:00-10:30, that is, X is 90. The remote management device obtains the production volume collected and transmitted by the local management device and the rated production rate of the filling machine producing the product every preset time interval of 1min, and calculates the ratio of the production volume to the rated production rate. In this way, the ratio of the production volume to the rated production rate of the filling product model in the filling period is calculated in turn, and the ratio of the production volume to the rated production rate is further summarized to obtain the ratio of the total production volume of Coca-Cola 500ml from 9:00-10:30 to the rated production rate of the production equipment under the filling production process. Similarly, the ratio of the total production volume of other filling product models in the corresponding filling period to the rated production rate of the production equipment under the filling production process is estimated using the above technical means.

[0053] In this way, the theoretical perfusion time is determined based on the ratio of the total production volume of the perfusion product model in the corresponding perfusion period to the rated productivity of the production equipment under the perfusion production process. There is no need to collect the actual rotational productivity of the production equipment (such as the perfusion machine), which reduces the difficulty of local management equipment data collection.

[0054] In some embodiments, a verification is performed on the production efficiency loss, including: determining whether the production efficiency loss is greater than or equal to a preset balance verification parameter; if the production efficiency loss is greater than or equal to the preset balance verification parameter, determining that the production efficiency loss verification of the perfusion production process has passed; if the production efficiency loss is less than the preset balance verification parameter, determining that the production efficiency loss verification of the perfusion production process has failed, and re-monitoring the production process data of the perfusion production process.

[0055] Specifically, the preset balance verification parameters are used to determine whether the production efficiency loss determined by the remote management device meets the accuracy requirements. When the production efficiency loss is greater than or equal to the preset balance verification parameters, it is determined that the production efficiency loss meets the accuracy requirements and the verification passes. If it does not meet the requirements, it is determined that the production efficiency loss verification has failed, and it is necessary to re-monitor the production process data of the perfusion production process to re-determine the production efficiency loss until the production efficiency loss meets the accuracy requirements. The preset balance verification parameters can be set to the product between the theoretical loss time and the balance verification coefficient (i.e., theoretical loss time × balance verification coefficient). The theoretical loss time corresponds to the perfusion product model produced and its actual perfusion time. The theoretical loss time can be transmitted to the remote management device through the local management device through its pre-stored data, and can also be pre-stored in the remote management device. The balance verification coefficient can be other parameters such as 0.9 or 0.95, which can be adjusted according to actual production needs.

[0056] The production process management method of this embodiment can be executed by any appropriate electronic device with data processing capabilities, including but not limited to: servers, mobile terminals (such as mobile phones, PADs, etc.) and PCs, etc.

[0057] Figure 2 The present invention is a structural block diagram of a production process management device according to an embodiment of the present application.

[0058] like Figure 2 As shown, the production process management device 200 can execute Figure 1 The production process management method is provided, and the production process management device 200 includes: a monitoring module 201, a local management device monitors the production process data of the perfusion production process, and uploads the production process data to a remote management device, wherein the production process data includes an actual perfusion time and at least one production efficiency parameter of the perfusion production process; an estimation module 202, a remote management device fits at least one production efficiency parameter, and estimates a theoretical perfusion time of the perfusion production process; a determination module 203, a remote management device determines the production efficiency loss of the perfusion production process by comparing the difference between the actual perfusion time and the theoretical perfusion time; a feedback module 204, a remote management device verifies the production efficiency loss, and feeds back the production efficiency loss to the local management device when the production efficiency loss verification passes.

[0059] In some embodiments of the present application, the monitoring module 201 is specifically used to: monitor the perfusion time of the perfusion production process of each perfusion product model of the perfusion production process; summarize the perfusion time of the perfusion production process of each perfusion product model to obtain the actual perfusion time of the perfusion production process.

[0060] In some embodiments of the present application, the estimation module 202 is specifically used to: estimate the perfusion time of the perfusion production process of each perfusion product model based on at least one production efficiency parameter of the perfusion production process of each perfusion product model; summarize the estimated perfusion time of the perfusion production process of each perfusion product model to obtain the theoretical perfusion time of the perfusion production process.

[0061] In some embodiments of the present application, the estimation module 202 is specifically used to calculate the ratio of the total production volume of each perfusion product model in the corresponding perfusion time period to the rated production rate of the production equipment of the perfusion product model as the perfusion time of the perfusion production process of the perfusion product model.

[0062] In some embodiments of the present application, the estimation module 202 is specifically used to: calculate the ratio of the production volume of each perfusion product model at each time interval in the perfusion period to the rated productivity of the production equipment that produces the perfusion product model; summarize the ratios corresponding to the perfusion product model and each time interval in the perfusion period; and determine the summarized ratio of the perfusion product model as the perfusion time of the perfusion production process of the perfusion product model.

[0063] In some embodiments of the present application, the determination module 203 is specifically used to: input the actual perfusion time and the theoretical perfusion time into the productivity loss time model to obtain the production efficiency loss of the perfusion production process, wherein the productivity loss time model is used to determine the corresponding production efficiency loss through the difference between the actual perfusion time and the theoretical perfusion time.

[0064] In some embodiments of the present application, the feedback module 204 is specifically used to: determine whether the production efficiency loss is greater than or equal to a preset balance verification parameter; if the production efficiency loss is greater than or equal to the preset balance verification parameter, then determine that the production efficiency loss verification of the perfusion production process has passed; if the production efficiency loss is less than the preset balance verification parameter, then determine that the production efficiency loss verification of the perfusion production process has failed, and re-monitor the production process data of the perfusion production process.

[0065] According to the production process management device of the embodiment of the present application, the production process data monitored by the local management device is sent to the remote management device for data processing to obtain the actual perfusion time and theoretical perfusion time of the perfusion production process, and then the production efficiency loss with higher accuracy is determined based on the difference between the two. After the production efficiency loss is verified, it is fed back to the local management device, so that the real production rhythm is reflected through the production efficiency loss with higher accuracy. The local management device can also adjust the production rhythm according to the production efficiency loss to improve production efficiency.

[0066] The production process management device 200 of this embodiment is used to implement the corresponding production process management methods in the aforementioned multiple method embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here. In addition, the functional implementation of each module in the production process management device 200 of this embodiment can refer to the description of the corresponding parts in the aforementioned method embodiments, which will not be repeated here.

[0067] Figure 3 This is a structural block diagram of an electronic device according to an embodiment of the present application. The specific embodiment of the present application does not limit the specific implementation of the electronic device.

[0068] like Figure 3 As shown, the electronic device 300 may include: a processor 302, a memory 303, a communication interface 304 and a communication bus 305. The processor 302, the memory 303 and the communication interface 304 communicate with each other through the communication bus 305; the memory 303 is used to store at least one executable instruction, and the executable instruction enables the processor 302 to perform the operation corresponding to the production process management method of any of the above embodiments.

[0069] The processor 302 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application. The one or more processors included in the smart device may be processors of the same model, such as one or more CPUs; or processors of different models, such as one or more CPUs and one or more ASICs.

[0070] The memory 303 is used to store programs, and may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0071] According to the electronic device of the embodiment of the present application, the production process data monitored by the local management device is sent to the remote management device for data processing to obtain the actual infusion time and theoretical infusion time of the infusion production process, and then the production efficiency loss with higher accuracy is determined based on the difference between the two. After the production efficiency loss is verified, it is fed back to the local management device, so that the real production rhythm is reflected through the production efficiency loss with higher accuracy. The local management device can also adjust the production rhythm according to the production efficiency loss to improve production efficiency.

[0072] An embodiment of the present application also provides a computer storage medium on which a computer program is stored. When the program is executed by a processor, the production process management method of any of the above embodiments is implemented.

[0073] According to the computer storage medium of the embodiment of the present application, the production process data monitored by the local management device is sent to the remote management device for data processing to obtain the actual perfusion time and the theoretical perfusion time of the perfusion production process, and then the production efficiency loss with higher accuracy is determined based on the difference between the two. After the production efficiency loss is verified, it is fed back to the local management device, so that the real production rhythm is reflected through the production efficiency loss with higher accuracy. The local management device can also adjust the production rhythm according to the production efficiency loss to improve production efficiency.

[0074] It should be pointed out that, according to the needs of implementation, the various components / steps described in the embodiments of the present application can be split into more components / steps, or two or more components / steps or partial operations of components / steps can be combined into new components / steps to achieve the purpose of the embodiments of the present application.

[0075] The above-mentioned method according to the embodiment of the present application can be implemented in hardware, firmware, or implemented as software or computer code that can be stored in a recording medium (such as CD ROM, RAM, floppy disk, hard disk or magneto-optical disk), or implemented as a computer code originally stored in a remote recording medium or a non-temporary machine-readable medium downloaded through a network and stored in a local recording medium, so that the method described herein can be stored in such software processing on a recording medium using a general-purpose computer, a special-purpose processor or programmable or special-purpose hardware (such as ASIC or FPGA). It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by a computer, a processor or hardware, the production process management method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the production process management method shown here, the execution of the code converts the general-purpose computer into a special-purpose computer for executing the production process management method shown here.

[0076] Those of ordinary skill in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present application.

[0077] The above implementation methods are only used to illustrate the embodiments of the present application, and are not intended to limit the embodiments of the present application. Ordinary technicians in the relevant technical field can make various changes and modifications without departing from the spirit and scope of the embodiments of the present application. Therefore, all equivalent technical solutions also belong to the scope of the embodiments of the present application, and the scope of patent protection of the embodiments of the present application should be defined by the claims. The systems, devices or modules described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions.

Claims

1. A production process management method, characterized in that: A local management device and a remote management device applied to a perfusion production process, the method comprising: The local management device monitors production process data of the perfusion production process and uploads the production process data to the remote management device, wherein the production process data includes actual perfusion time and at least one production efficiency parameter of the perfusion production process; The remote management device performs fitting on the at least one production efficiency parameter to estimate the theoretical perfusion time of the perfusion production process; The remote management device determines the production efficiency loss of the perfusion production process by comparing the difference between the actual perfusion time and the theoretical perfusion time; The remote management device performs verification on the production efficiency loss, and feeds back the production efficiency loss to the local management device when the verification of the production efficiency loss passes.

2. The production process management method according to claim 1, characterized in that: Monitoring of production process data for the infusion production process, including: Monitoring the infusion time of the infusion production process of each infusion product model of the infusion production process; The pouring times of the pouring production processes of the various pouring product models are summarized to obtain the actual pouring time of the pouring production process.

3. The production process management method according to claim 1, characterized in that: Fitting the at least one production efficiency parameter to estimate the theoretical perfusion time of the perfusion production process includes: estimating the infusion time of the infusion production process of each infusion product model according to at least one production efficiency parameter of the infusion production process of each infusion product model; The estimated infusion times of the infusion production processes of the various infusion product models are summarized to obtain the theoretical infusion time of the infusion production process.

4. The production process management method according to claim 3, characterized in that: According to at least one production efficiency parameter of the perfusion production process of each perfusion product model, estimating the perfusion time of the perfusion production process of each perfusion product model comprises: The ratio of the total production volume of each perfusion product model in the corresponding perfusion period to the rated production rate of the production equipment of the perfusion product model is calculated as the perfusion time of the perfusion production process of the perfusion product model.

5. The production process management method according to claim 4, characterized in that: Calculate the ratio of the total production volume of each perfusion product model in the corresponding perfusion period to the rated production rate of the production equipment of the perfusion product model as the perfusion time of the perfusion production process of the perfusion product model, including: Calculate the ratio of the production volume of each perfusion product model at each time interval during the perfusion period to the rated production rate of the production equipment producing the perfusion product model; Summarize the ratios of the perfusion product model to each time interval in the perfusion period; The summary ratio of the perfusion product model is determined as the perfusion time of the perfusion production process of the perfusion product model.

6. The production process management method according to claim 1, characterized in that: By comparing the difference between the actual perfusion time and the theoretical perfusion time, the production efficiency loss of the perfusion production process is determined, including: The actual perfusion time and the theoretical perfusion time are input into a productivity loss time model to obtain the production efficiency loss of the perfusion production process, wherein the productivity loss time model is used to determine the corresponding production efficiency loss through the difference between the actual perfusion time and the theoretical perfusion time.

7. The production process management method according to claim 6, characterized in that: Verify the production efficiency loss, including: Determining whether the production efficiency loss is greater than or equal to a preset balance verification parameter; If the production efficiency loss is greater than or equal to the preset balance verification parameter, it is determined that the production efficiency loss verification of the perfusion production process has passed; If the production efficiency loss is less than the preset balance verification parameter, it is determined that the production efficiency loss verification of the perfusion production process has failed, and the production process data of the perfusion production process is re-monitored.

8. A production process management device, characterized in that: The device comprises: A monitoring module, wherein the local management device monitors production process data of the perfusion production process and uploads the production process data to the remote management device, wherein the production process data includes actual perfusion time and at least one production efficiency parameter of the perfusion production process; an estimation module, wherein the remote management device fits the at least one production efficiency parameter to estimate a theoretical infusion time of the infusion production process; A determination module, wherein the remote management device determines the production efficiency loss of the perfusion production process by comparing the difference between the actual perfusion time and the theoretical perfusion time; A feedback module, wherein the remote management device verifies the production efficiency loss and feeds back the production efficiency loss to the local management device when the production efficiency loss verification passes.

9. An electronic device, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute an operation corresponding to the production process management method according to any one of claims 1-7.

10. A computer storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the production process management method according to any one of claims 1 to 7 is implemented.

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