Energy consumption control method applied to range hood packaging machine

Abstract

The invention discloses an energy consumption control method applied to a range hood packaging machine. According to the specific scheme, when a target cigarette machine packaging machine is in a running state, to-be-processed energy consumption data of the target cigarette machine packaging machine in at least one dimension is obtained; processing the to-be-processed energy consumption data under the at least one dimension based on a pre-trained energy consumption evaluation model to obtain an energy consumption evaluation result of the target range hood packaging machine; and when it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data meet a preset energy consumption condition, generating energy consumption optimization prompt information based on the energy consumption evaluation result and the to-be-processed energy consumption data under at least one dimension, so as to adjust the target range hood packaging machine based on the energy consumption optimization prompt information. According to the invention, energy consumption detection and energy consumption control processing of the range hood packaging machine are realized, the problem of energy waste is solved, and the production cost and environmental protection benefits are ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and particularly relates to an energy consumption control method applied to a cigarette machine packaging machine. BACKGROUND

[0002] In the field of tobacco production and packaging, as a key equipment in the production process, the energy consumption of the cigarette machine packaging machine will affect the production cost and environmental protection benefits.

[0003] At present, in the prior art, the energy consumption of each component of the cigarette machine packaging machine is mainly evaluated in an artificial manner, so that the corresponding components are updated according to the evaluation results, and it is difficult to realize accurate energy consumption control processing, and it is difficult to ensure that the energy consumption of the updated component of the cigarette machine packaging machine meets the corresponding production requirements. SUMMARY

[0004] The present application provides an energy consumption control method applied to a cigarette machine packaging machine, which realizes energy consumption detection and energy consumption control processing of the cigarette machine packaging machine, avoids energy waste, and ensures production cost and environmental protection benefits.

[0005] According to an aspect of the present application, an energy consumption control method applied to a cigarette machine packaging machine is provided, which comprises:

[0006] When the target cigarette machine packaging machine is in a running state, obtaining the to-be-processed energy consumption data of the target cigarette machine packaging machine in at least one dimension, wherein the at least one dimension comprises at least one of the motor power dimension, the heating component energy consumption dimension and the conveyor belt energy consumption dimension of the target cigarette machine packaging machine;

[0007] Processing the to-be-processed energy consumption data in the at least one dimension based on a pre-trained energy consumption evaluation model to obtain an energy consumption evaluation result of the target cigarette machine packaging machine;

[0008] When it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data meet a preset energy consumption condition, generating energy consumption optimization prompt information based on the energy consumption evaluation result and the to-be-processed energy consumption data in the at least one dimension, and adjusting the target cigarette machine packaging machine based on the energy consumption optimization prompt information.

[0009] According to another aspect of the present application, an energy consumption control device applied to a cigarette machine packaging machine is provided, which comprises:

[0010] A data acquisition module is configured to, when the target cigarette machine packaging machine is in a running state, obtain to-be-processed energy consumption data of the target cigarette machine packaging machine in at least one dimension, wherein the at least one dimension comprises at least one of the motor power dimension, the heating component energy consumption dimension and the conveyor belt energy consumption dimension of the target cigarette machine packaging machine;

[0011] The energy consumption evaluation module is configured to process the to-be-processed energy consumption data in at least one dimension based on a pre-trained energy consumption evaluation model to obtain an energy consumption evaluation result of the target cigarette packing machine.

[0012] The packing machine adjustment module is configured to, when it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy a preset energy consumption condition, generate energy consumption optimization prompt information based on the energy consumption evaluation result and the to-be-processed energy consumption data in at least one dimension, and adjust the target cigarette packing machine based on the energy consumption optimization prompt information.

[0013] According to another aspect of the present application, an electronic device is provided, which comprises:

[0014] at least one processor; and

[0015] a memory connected to the at least one processor in communication; wherein

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the energy consumption control method applied to the cigarette packing machine according to any one of the embodiments of the present application.

[0017] According to another aspect of the present application, a computer readable storage medium is provided, which stores computer instructions for enabling a processor to implement the energy consumption control method applied to the cigarette packing machine according to any one of the embodiments of the present application when the processor executes the computer instructions.

[0018] According to another aspect of the present application, a computer program product is provided, which comprises a computer program, and the computer program, when executed by a processor, implements the energy consumption control method applied to the cigarette packing machine according to any one of the embodiments of the present application.

[0019] The technical scheme of the embodiment of the present application obtains the to-be-processed energy consumption data of the target cigarette machine packaging machine in at least one dimension when the target cigarette machine packaging machine is in a running state, thereby providing data support for subsequent energy consumption evaluation. The to-be-processed energy consumption data in at least one dimension is processed according to the pre-trained energy consumption evaluation model, and an energy consumption evaluation result of the target cigarette machine packaging machine is obtained. When it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data meet a preset energy consumption condition, energy consumption optimization prompt information is generated according to the energy consumption evaluation result and the to-be-processed energy consumption data in at least one dimension, so that the target cigarette machine packaging machine is adjusted and processed according to the energy consumption optimization prompt information, thereby realizing energy consumption control of the target cigarette machine packaging machine and avoiding energy waste. The present application solves the problem that in the prior art, it is difficult to realize accurate energy consumption control processing of the cigarette machine packaging machine and to ensure that the energy consumption of the cigarette machine packaging machine with updated components meets the corresponding production requirements, by processing the to-be-processed energy consumption data in at least one dimension through the energy consumption evaluation model, thereby improving the accuracy and reliability of energy consumption detection of the cigarette machine packaging machine, facilitating energy consumption control processing of the cigarette machine packaging machine through the energy consumption evaluation result, avoiding energy waste, and ensuring production cost and environmental protection benefits.

[0020] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0022] Figure 1 is a flowchart of an energy consumption control method applied to a cigarette machine packaging machine provided by an embodiment of the present application;

[0023] Figure 2 is a flowchart of an energy consumption control method applied to a cigarette machine packaging machine provided by an embodiment of the present application;

[0024] Figure 3 is a structural schematic diagram of an energy consumption control device applied to a cigarette machine packaging machine provided by an embodiment of the present application;

[0025] Figure 4 is a structural schematic diagram of an electronic device for implementing the energy consumption control method applied to a cigarette machine packaging machine according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the person skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0027] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological order. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units need not be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0028] Embodiment one

[0029] Figure 1 It is a flow chart of an energy consumption control method applied to a cigarette packaging machine provided by the first embodiment of the present application. The present embodiment can be applied to energy consumption detection of the cigarette packaging machine to realize energy consumption control of the cigarette packaging machine. The method can be executed by an energy consumption control device applied to the cigarette packaging machine. The energy consumption control device applied to the cigarette packaging machine can be realized in the form of hardware and / or software. The energy consumption control device applied to the cigarette packaging machine can be configured in an electronic device such as a mobile phone, a computer or a server. As shown in the figure, the method comprises: Figure 1

[0030] S110, when the target cigarette packaging machine is in a running state, obtaining the to-be-processed energy consumption data of the target cigarette packaging machine in at least one dimension.

[0031] ​The at least one dimension includes at least one of a motor power dimension, a heating component energy consumption dimension, and a conveyor belt energy consumption dimension of the target cigarette packer. The cigarette packer is a device in cigarette production, used to realize the packaging process of small boxes, cartons, and boxes. The target cigarette packer can be a cigarette packer that currently needs to be detected for energy consumption control. Energy consumption control can be a process of detecting, analyzing, optimizing, and adjusting the energy consumption of the target cigarette packer to maximize energy utilization efficiency, minimize cost, and minimize environmental impact. The motor power dimension is an index for measuring the motor energy conversion capability of the target cigarette packer. The to-be-processed energy consumption data in the motor power dimension can be the motor power of the target cigarette packer. The motor power can be understood as the rate at which the motor in the target cigarette packer converts electrical energy into mechanical energy (or other forms of energy) per unit time. The heating component energy consumption dimension can be used to measure the energy consumption of the heating component of the target cigarette packer. The conveyor belt energy consumption dimension can be used to measure the energy consumption of the conveyor belt when conveying. The to-be-processed energy consumption data can be energy consumption data associated with the corresponding dimension.

[0032] Specifically, when the target cigarette packer is in a running state, to-be-processed energy consumption data of the target cigarette packer in at least one of the motor power dimension, the heating component energy consumption dimension, and the conveyor belt energy consumption dimension can be obtained to evaluate the energy consumption of the target cigarette packer based on the to-be-processed energy consumption data.

[0033] Optionally, before obtaining the to-be-processed energy consumption data in the at least one dimension, the electrical control system of the target cigarette packer can be preprocessed. That is, the performance and energy consumption of the electrical control system are evaluated according to the power, energy consumption, failure rate, and other data of the electrical control system of the target cigarette packer, and the electrical components that need to be replaced in the electrical control system of the target cigarette packer are determined. The electrical components that need to be replaced are replaced to obtain an updated electrical control system. For example, energy-saving frequency converters, high-efficiency motors, and intelligent control systems can be used to replace the electrical components that need to be replaced in the target cigarette packer to achieve more accurate energy management. The motor speed is adjusted by the energy-saving frequency converter to match the actual production demand, avoiding energy waste. At the same time, the upgraded electrical control system has stronger data processing and analysis capabilities, can monitor the device running state in real time, and optimizes the energy control strategy, thereby realizing more efficient device control and energy utilization.

[0034] Optionally, before obtaining the to-be-processed energy consumption data in at least one dimension, the electrical control system of the target cigarette packaging machine can be preprocessed. It can also be to evaluate the energy consumption, power and failure rate of the mechanical components of the target cigarette packaging machine to determine the mechanical components that need to be replaced. The mechanical components that need to be replaced are replaced to obtain updated mechanical components. For example, high-efficiency conveyor belts, automatic adjustment components and other mechanical components can be used to replace the mechanical components that need to be replaced in the target cigarette packaging machine to reduce energy consumption, ensure the stability of operation, and reduce the failure and downtime in the production process. At the same time, the mechanical components and the electrical control system are deeply integrated, and the intelligent control system is used to realize accurate control of the updated target cigarette packaging machine, further improving the equipment operation efficiency and stability. Based on this, the target cigarette packaging machine with updated mechanical components and updated electrical components of the electrical control system can be obtained, and the to-be-processed energy consumption data in at least one dimension can be obtained when the target cigarette packaging machine is in a moving state.

[0035] Optionally, in the embodiment of the present application, the target cigarette packaging machine can also be subjected to digital modeling processing to determine a digital twin model corresponding to the target cigarette packaging machine; and the obtained to-be-processed energy consumption data in at least one dimension is uploaded to the digital twin model for processing based on an energy consumption evaluation model corresponding to the digital twin model.

[0036] The digital twin model of the target cigarette packaging machine can be a virtual model of the target cigarette packaging machine constructed in a virtual space through digital means. By uploading the to-be-processed energy consumption data to the target cigarette packaging machine, energy consumption detection and energy consumption control of the target cigarette packaging machine can be realized, virtual debugging based on the digital twin model can be facilitated, the feasibility of energy consumption control can be verified, and physical trial and error costs can be avoided.

[0037] Specifically, in order to avoid physical trial and error costs, the target cigarette packaging machine can be subjected to digital modeling processing to determine a digital twin model corresponding to the target cigarette packaging machine. The to-be-processed energy consumption data in at least one dimension obtained when the target cigarette packaging machine is in a running state is transmitted to the digital twin model for evaluation and processing of the to-be-processed energy consumption data by an energy consumption evaluation model corresponding to the digital twin model.

[0038] S120, based on the pre-trained energy consumption evaluation model, the to-be-processed energy consumption data in at least one dimension is processed to obtain an energy consumption evaluation result of the target cigarette packaging machine.

[0039] The energy consumption evaluation model can be a model for determining whether the target cigarette packaging machine has energy consumption abnormalities. Optionally, the energy consumption evaluation model can be a support vector machine model. The energy consumption evaluation result can be used to represent whether the target cigarette packaging machine has energy consumption abnormalities.

[0040] Specifically, after obtaining the to-be-processed energy consumption data in at least one dimension, data normalization, denoising, and other data preprocessing operations can be performed on the to-be-processed energy consumption data in at least one dimension to obtain preprocessed to-be-processed energy consumption data. The preprocessed to-be-processed energy consumption data in at least one dimension is processed by using the energy consumption evaluation model that is pre-trained, and an energy consumption evaluation result of the target tobacco packaging machine is obtained. The target tobacco packaging machine is controlled based on the energy consumption evaluation result.

[0041] In S130, when it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy a preset energy consumption condition, an energy consumption optimization prompt information is generated based on the energy consumption evaluation result and the to-be-processed energy consumption data in at least one dimension, and the target tobacco packaging machine is adjusted based on the energy consumption optimization prompt information.

[0042] The preset energy consumption condition can be a condition that is pre-set and requires energy consumption control of the target tobacco packaging machine. Optionally, if the energy consumption evaluation result is an abnormal energy consumption of the target tobacco packaging machine, and the to-be-processed energy consumption data in at least one dimension does not satisfy an energy consumption threshold range in the corresponding dimension, it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy the preset energy consumption condition. The energy consumption optimization prompt information can be a measure information for energy consumption optimization adjustment of the target tobacco packaging machine. For example, the equipment parameters of the target tobacco packaging machine can be adjusted to avoid excessive energy consumption.

[0043] Specifically, if the energy consumption evaluation result is an abnormal energy consumption of the target tobacco packaging machine, and the to-be-processed energy consumption data in at least one dimension does not satisfy an energy consumption threshold range in the corresponding dimension, it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy the preset energy consumption condition. In this case, the energy consumption optimization prompt information is generated based on the energy consumption evaluation result and the to-be-processed energy consumption data in at least one dimension, and a warning process is performed, so that a corresponding worker adjusts the target tobacco packaging machine based on the energy consumption optimization prompt information.

[0044] Based on this, the target tobacco packaging machine can be adjusted in time when it is determined that the target tobacco packaging machine has an abnormal energy consumption, so as to avoid long-time high-energy consumption operation of the target tobacco packaging machine, thereby reducing energy waste.

[0045] In the embodiment of the present application, the adjustment of the target tobacco packaging machine based on the energy consumption optimization prompt information can be: adjusting the digital twin model corresponding to the target tobacco packaging machine based on the energy consumption optimization prompt information to obtain an adjusted digital twin model; performing simulation on the adjusted digital twin model to determine a target operation parameter combination; and applying each target operation parameter in the target operation parameter combination to a corresponding component of the target tobacco packaging machine.

[0046] The adjusted digital twin model can be a virtual model obtained by adjusting the digital twin model according to the parameter adjustment mode corresponding to the energy consumption optimization prompt information. The target operation parameter combination can be a combination of device operation parameters of the target cigarette packaging machine, which has the lowest total energy consumption and can meet the actual production demand. The target operation parameter can be a device operation parameter in the target operation parameter combination.

[0047] Specifically, the digital twin model corresponding to the target cigarette packaging machine is adjusted according to the energy consumption optimization prompt information to obtain an adjusted digital twin model. The adjusted digital twin model is adjusted and operated through design of experiments (DOE) or simulation to obtain a target operation parameter combination with the lowest total energy consumption and meeting the actual production demand. For example, the heating temperature of the heating component and the speed of the conveyor belt of the target cigarette packaging machine can be adjusted through design of experiments to determine the target operation parameters with the lowest energy consumption and meeting the actual production demand. Each target operation parameter in the target operation parameter combination is applied to the corresponding component of the target cigarette packaging machine to realize energy consumption control of the target cigarette packaging machine. Based on this, the energy consumption under different working conditions is simulated based on the digital twin model to determine the target operation parameter combination, which not only reduces energy consumption but also guarantees product quality and production efficiency.

[0048] The technical scheme of the embodiment provides data support for subsequent energy consumption evaluation by acquiring the to-be-processed energy consumption data of the target cigarette packaging machine in at least one dimension when the target cigarette packaging machine is in a running state. The to-be-processed energy consumption data in at least one dimension is processed according to the pre-trained energy consumption evaluation model to obtain an energy consumption evaluation result of the target cigarette packaging machine. When the energy consumption evaluation result and the to-be-processed energy consumption data meet a preset energy consumption condition, an energy consumption optimization prompt information is generated according to the energy consumption evaluation result and the to-be-processed energy consumption data in at least one dimension, so that the target cigarette packaging machine is adjusted according to the energy consumption optimization prompt information to realize energy consumption control of the target cigarette packaging machine and avoid energy waste. The present application solves the problem in the prior art that it is difficult to realize accurate energy consumption control processing and difficult to guarantee that the energy consumption of the updated cigarette packaging machine meets the corresponding production demand by manually evaluating the energy consumption of each component of the cigarette packaging machine. The to-be-processed energy consumption data in at least one dimension is processed by the energy consumption evaluation model to improve the accuracy and reliability of energy consumption detection of the cigarette packaging machine, which is conducive to energy consumption control processing of the cigarette packaging machine based on the energy consumption evaluation result and avoids energy waste, thereby guaranteeing production cost and environmental benefits.

[0049] Embodiment two

[0050] Figure 2is a flowchart of an energy consumption control method applied to a smoke machine packaging machine provided by Embodiment Two of the present application. The present embodiment is a preferred embodiment of the above-mentioned embodiment. The specific implementation can be referred to the technical solution of the present embodiment. Among them, the same or corresponding technical terms as the above-mentioned embodiments will not be repeated here. For example Figure 2 As shown in the figure, the method comprises:

[0051] S210, obtaining the to-be-processed energy consumption data of the target smoke machine packaging machine in at least one dimension when the target smoke machine packaging machine is in a running state.

[0052] Among them, the at least one dimension comprises at least one of the motor power dimension, the heating component energy consumption dimension, and the conveyor belt energy consumption dimension of the target smoke machine packaging machine.

[0053] S220, performing feature extraction processing on the to-be-processed energy consumption data in at least one dimension to obtain at least one to-be-used feature.

[0054] Among them, the to-be-used feature can be a feature associated with the energy consumption of the target smoke machine packaging machine. For example, the to-be-processed energy consumption data can be motor power, and the to-be-used feature can be motor power fluctuation feature.

[0055] Specifically, in the case where the energy consumption evaluation model is a support vector machine model, the to-be-processed energy consumption data is processed by the energy consumption evaluation model to obtain at least one to-be-used feature associated with the energy consumption of the target smoke machine packaging machine.

[0056] It should be noted that before the to-be-processed energy consumption data is processed by the energy consumption evaluation model, a trained energy consumption evaluation model can be obtained. The specific training method can be: obtaining historical energy consumption data in at least one dimension, and determining training samples based on the historical energy consumption data in at least one dimension. Through the training samples and the theoretical output results, the energy consumption evaluation model to be trained is trained by using the cross-validation method to obtain the optimal target kernel function and model parameters under the condition of meeting the preset constraint condition, and the trained energy consumption evaluation model is obtained. Optionally, the preset constraint condition is used to limit the model complexity of the energy consumption evaluation model. The preset constraint condition can be expressed as:

[0057]

[0058] Among them, x represents the feature vector corresponding to the historical energy consumption data in the training sample, y represents the theoretical output result (label), the energy consumption of the target smoke machine packaging machine is normal, y = +1; the energy consumption of the target smoke machine packaging machine is abnormal, y =-1. Alpha represents the Lagrange multiplier, K represents the kernel function, and C represents the regularization parameter, which is used to control the model complexity of the energy consumption evaluation model.

[0059] S230, performing non-linear transformation processing on the at least one to-be-used feature based on a target kernel function of the energy consumption evaluation model, to obtain a processing result.

[0060] In the embodiment, the energy consumption evaluation model is a support vector machine model, and the target kernel function can be a kernel function of the trained energy consumption evaluation model, which is used to map the to-be-used feature from a low-dimensional space to a high-dimensional space, so that the to-be-used feature becomes linearly separable in the high-dimensional space. The processing result can be a result obtained by the target kernel function processing the to-be-used feature. Optionally, the target kernel function can be a Gaussian kernel function, which is represented as:

[0061]

[0062] wherein x i represents a support vector, x represents the to-be-used feature vector, σ represents a parameter of the Gaussian kernel function, and K(x i , x) represents the processing result.

[0063] Specifically, the non-linear transformation processing is performed on the at least one to-be-used feature based on the target kernel function of the energy consumption evaluation model, so as to map the at least one to-be-used feature to the high-dimensional space, and obtain the processing result.

[0064] S240, performing processing on the processing result by a decision function of the energy consumption evaluation model, to obtain an energy consumption evaluation result.

[0065] In the embodiment, the decision function is used to perform classification and prediction processing on the processing result mapped to the high-dimensional space, to obtain the energy consumption evaluation result. The energy consumption evaluation result is used to represent whether the target cigarette packaging machine has an abnormal energy consumption. Optionally, the decision function can be represented as:

[0066]

[0067] wherein n represents a number of support vectors, K(x i , x) represents the processing result, and is used to represent a similarity between the to-be-used feature x and the support vector x i , α i represents a Lagrange multiplier, y i represents a label (+1 or -1) of the support vector x i , and b represents a bias term.

[0068] Specifically, the classification and prediction processing is performed on the processing result by the decision function of the energy consumption evaluation model, to obtain the energy consumption evaluation result corresponding to the target cigarette packaging machine, so as to determine whether the energy consumption of the target cigarette packaging machine is abnormal through the energy consumption evaluation result.

[0069] S250, in a case where it is determined that the target cigarette packer has energy consumption abnormality based on the energy consumption evaluation result, if the to-be-processed energy consumption data in at least one dimension does not satisfy the energy consumption threshold range in the corresponding dimension, it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy the preset energy consumption condition.

[0070] The energy consumption threshold range can be a preset energy consumption standard range corresponding to each dimension. It should be noted that for each dimension, an energy consumption threshold range can be determined.

[0071] Specifically, in a case where it is determined that the target cigarette packer has energy consumption abnormality based on the energy consumption evaluation result, if the to-be-processed energy consumption data in at least one dimension does not belong to the energy consumption threshold range in the corresponding dimension, it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy the preset energy consumption condition.

[0072] It should be noted that the total energy consumption data can be determined according to the to-be-processed energy consumption data in at least one dimension. In a case where it is determined that the target cigarette packer has energy consumption abnormality based on the energy consumption evaluation result, if the total energy consumption data does not belong to the energy consumption threshold range corresponding to the total energy consumption, it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy the preset energy consumption condition.

[0073] In the embodiment of the present application, before comparing the to-be-processed energy consumption data and the energy consumption threshold range, the energy consumption threshold range can be determined, and the specific method can be: obtaining a plurality of historical energy consumption data of the target cigarette packer in each dimension, and determining the mean data and the standard deviation data corresponding to the plurality of historical energy consumption data in each dimension; processing the mean data and the standard deviation data in each dimension according to a preset threshold determination function to obtain the upper limit threshold and the lower limit threshold of energy consumption corresponding to each dimension; determining the energy consumption threshold range corresponding to each dimension based on the upper limit threshold and the lower limit threshold of energy consumption in each dimension.

[0074] The historical energy consumption data can be the energy consumption data corresponding to each dimension of the target cigarette packer. The mean data can be the mean of the plurality of historical energy consumption data in each dimension, used to represent the overall level of the historical energy consumption data. The standard deviation data can be the standard deviation of the plurality of historical energy consumption data in each dimension, used to represent the fluctuation degree of the historical energy consumption data. The preset threshold determination function can include an upper limit threshold determination sub-function and a lower limit threshold determination sub-function. The upper limit threshold determination sub-function is represented as:

[0075] U = μ + 3σ'

[0076] The lower limit threshold determination sub-function is represented as:

[0077] L = μ - 3σ'

[0078] wherein L represents the lower energy consumption threshold, μ represents the mean data, and σ' represents the standard deviation data. The upper energy consumption threshold can be the maximum energy consumption standard data corresponding to each dimension. The lower energy consumption threshold can be the minimum energy consumption standard data corresponding to each dimension.

[0079] Specifically, the historical energy consumption data corresponding to each dimension of the target cigarette packaging machine at a plurality of historical collection time points is obtained, i.e., a plurality of historical energy consumption data under each dimension is obtained. According to the plurality of historical energy consumption data under each dimension, the mean data and the standard deviation data under each dimension are determined. The mean data and the standard deviation data under each dimension are processed by the upper energy consumption threshold determination sub-function in the preset threshold determination function to obtain the corresponding upper energy consumption threshold under each dimension. The mean data and the standard deviation data under each dimension are processed by the lower energy consumption threshold determination sub-function in the preset threshold determination function to obtain the corresponding lower energy consumption threshold under each dimension. According to the upper energy consumption threshold and the lower energy consumption threshold under each dimension, the energy consumption threshold range corresponding to each dimension is determined.

[0080] It should be noted that the total historical energy consumption data corresponding to each historical collection time point of the target cigarette packaging machine can be determined according to the historical energy consumption data under each dimension of the target cigarette packaging machine at each historical collection time point. According to the plurality of total historical energy consumption data corresponding to the plurality of historical collection time points, the total historical energy consumption mean data and the total historical energy consumption standard deviation data are determined. The total historical energy consumption mean data and the total historical energy consumption standard deviation data are processed by the preset threshold determination function to obtain the total energy consumption upper threshold and the total energy consumption lower threshold. And according to the total energy consumption upper threshold and the total energy consumption lower threshold, the energy consumption threshold range corresponding to the total energy consumption is obtained.

[0081] For example, the total historical energy consumption data E corresponding to each day or each shift of the target cigarette packaging machine is obtained. The plurality of total historical energy consumption data is processed for data cleaning to remove obviously incorrect and missing data. According to the plurality of total historical energy consumption data, the total historical energy consumption mean data μ and the total historical energy consumption standard deviation data σ' are determined.

[0082] Optionally, the total historical energy consumption mean data μ is represented as:

[0083]

[0084] wherein i represents the order of the total historical energy consumption data, and n represents the number of total historical energy consumption data. i Ei represents the i-th total historical energy consumption data.

[0085] The total historical energy consumption standard deviation data σ' can be represented as:

[0086]

[0087] wherein, i represents the order of the total historical energy consumption data, n represents the number of the total historical energy consumption data. E i represents the i-th total historical energy consumption data, μ represents the total historical energy consumption mean data.

[0088] According to the three standard deviation rule, the total historical energy consumption mean data μ and the total historical energy consumption standard deviation data σ' are processed to obtain the total energy consumption upper threshold U = μ + 3σ' and the total energy consumption lower threshold L = μ - 3σ'. It should be noted that in the energy consumption detection scene, the energy consumption data will not appear negative, therefore, if the total energy consumption lower threshold is less than zero, the total energy consumption lower threshold can be set to zero.

[0089] Optionally, the method further comprises: if there is at least one dimension of the to-be-processed energy consumption data exceeding the energy consumption upper threshold of the energy consumption threshold range of the corresponding dimension, and at least one dimension of the adjacent energy consumption data at at least two adjacent collection time points after the collection time point corresponding to the to-be-processed energy consumption data exceeding the energy consumption upper threshold of the energy consumption threshold range of the corresponding dimension, then performing energy recovery processing based on the waste heat recovery component integrated on the target cigarette packaging machine.

[0090] wherein, the adjacent collection time point can be a collection time point after the collection time point corresponding to the to-be-processed energy consumption data. The adjacent energy consumption data can be energy consumption data collected at the adjacent collection time point. The waste heat recovery component can be used to recover the waste heat generated by the corresponding component during the packaging process through a heat exchanger, so as to use the recovered energy for preheating materials or heating.

[0091] Specifically, if there is at least one dimension of the to-be-processed energy consumption data exceeding the energy consumption upper threshold of the energy consumption threshold range of the corresponding dimension, and the adjacent energy consumption data of the same dimension at at least two adjacent collection time points after the collection time point corresponding to the to-be-processed energy consumption data all exceeding the energy consumption upper threshold of the energy consumption threshold range, it indicates that the energy consumption of the corresponding component in the at least one dimension is large, and the waste heat generated by the corresponding component can be recovered through a heat exchanger by the waste heat recovery component integrated on the target cigarette packaging machine, so as to be used for preheating materials or heating.

[0092] It should be noted that the waste heat recovery component integrated on the target cigarette packer needs to be pre-tested and adjusted to ensure that the heat exchange efficiency of the waste heat recovery component meets the preset exchange efficiency requirement. Optionally, the heat exchange efficiency test of the waste heat recovery component usually includes the following steps: installing temperature sensors, flow meters and other test equipment at the inlet and outlet of the waste heat recovery component. When the waste heat recovery component is running, collect the temperature, flow and other data of the inlet and outlet. The heat exchange efficiency is calculated using the following formula: heat exchange efficiency (%) = (actual recovered heat / theoretically recoverable heat) x 100%. Wherein, the actual recovered heat can be calculated by the product of the temperature difference between the inlet and outlet and the flow, and the theoretically recoverable heat is calculated based on the total heat of the heat source and the design parameters of the waste heat recovery component. According to the test results, the performance of the waste heat recovery component is analyzed to determine whether the waste heat recovery component needs to be adjusted or optimized.

[0093] For example, if at least one dimension is 1 dimension, it can be understood that if the to-be-processed energy consumption data under the current dimension exceeds the energy consumption upper threshold under the current dimension, and the adjacent energy consumption data of the current dimension under at least two adjacent collection time points all exceed the energy consumption upper threshold, it means that the component energy consumption corresponding to the current dimension is large, and then the waste heat recovery component can be used for waste heat recovery processing.

[0094] Optionally, if there is a total energy consumption upper threshold that exceeds the total energy consumption corresponding to the energy threshold range, and the adjacent total energy consumption data under at least two adjacent collection time points after the collection time point corresponding to the total energy consumption data exceeds the total energy consumption upper threshold corresponding to the total energy consumption corresponding to the energy threshold range, it means that the total energy consumption of the target cigarette packer is too large, and then the energy recovery processing is performed based on the waste heat recovery component integrated on the target cigarette packer.

[0095] Optionally, the energy management system can also monitor the energy consumption and waste heat recovery in real time, and adjust the operating parameters of the heat exchanger of the waste heat recovery component according to the energy consumption and waste heat recovery, so as to improve the waste heat recovery efficiency.

[0096] S260, based on the energy consumption evaluation result and the to-be-processed energy consumption data under at least one dimension, generating energy consumption optimization prompt information to adjust the target cigarette packer based on the energy consumption optimization prompt information.

[0097] Optionally, in the embodiments of the present application, the components corresponding to the packaging process of the target cigarette packer can also be adjusted based on the equipment operation parameters of the components corresponding to the packaging process of the target cigarette packer to achieve energy consumption control. The specific manner can be: obtaining at least one to-be-processed image corresponding to the packaging process of the target cigarette packer within a preset time period according to the camera device deployed at at least one first preset position corresponding to the target cigarette packer; obtaining the equipment operation parameters of at least one component corresponding to the packaging process of the target cigarette packer within a preset time period according to the sensor device deployed at at least one second preset position corresponding to the target cigarette packer, and determining at least one operation parameter curve based on the equipment operation parameters of the at least one component within the preset time period; determining a packaging detection result corresponding to the target cigarette packer according to the at least one to-be-processed image within the preset time period; generating a first warning prompt information according to the operation parameter curve and / or the packaging detection result, and adjusting and updating the components corresponding to the packaging process of the target cigarette packer based on the first warning prompt information.

[0098] The preset time period can be a pre-set time length. The at least one first preset position can be a pre-set position corresponding to the packaging process of the target cigarette packer. For example, the first preset position can be a position for shooting the sealing process of the target cigarette packer. The camera device can be a high-resolution camera or other camera device for image acquisition. The to-be-processed image can be an image associated with the packaging process collected at the first preset position.

[0099] The second preset position can be pre-set. It is the position where the component corresponding to the packaging process of the target cigarette packer is located. For example, the second preset position can be the position of the conveying belt, the position of the sealing component, or the position of the heating component. The sensor device can be a sensor for collecting equipment operation parameters. The equipment operation parameters can include: operating temperature, internal pressure of the component, material flow, motor power, production speed, energy consumption, etc. It should be noted that the components corresponding to the to-be-processed image and the equipment operation parameters can be the same or different.

[0100] The operation parameter curve can be determined according to the equipment operation parameters of each component within the preset time period. The packaging detection result can be used to represent whether the packaging process corresponding to the to-be-processed image is qualified. For example, the packaging detection result can be that the packaging quality is unqualified, the sealing integrity is unqualified, etc. The first warning prompt information can be information for prompting the corresponding staff to adjust the corresponding component.

[0101] Specifically, at least one to-be-processed image corresponding to the packaging process of the target cigarette packaging machine within a preset time period is acquired according to the camera arranged at at least one first preset position corresponding to the target cigarette packaging machine. A packaging detection result corresponding to each to-be-processed image is obtained by analyzing and processing each to-be-processed image through an image processing model. Device running parameters of at least one component corresponding to the packaging process of the target cigarette packaging machine within the preset time period are acquired according to the sensor device arranged at at least one second preset position corresponding to the target cigarette packaging machine. A running parameter curve corresponding to each component is determined according to the device running parameters corresponding to each component within the preset time period. If the parameter variation trend corresponding to the running parameter curve does not meet the preset variation trend requirement, a first warning prompt information is generated according to the running parameter curve, and the component represented by the running parameter curve is adjusted based on the first warning prompt information. If the packaging detection result is that the packaging process of the component corresponding to the to-be-processed image is unqualified, a first warning prompt information is generated according to the packaging detection result, and the component corresponding to the packaging detection result is adjusted based on the first warning prompt information. If the parameter variation trend corresponding to the running parameter curve does not meet the preset variation trend requirement, and the packaging detection result is that the packaging process of the component corresponding to the to-be-processed image is unqualified, and the component corresponding to the running parameter curve is the same as the component corresponding to the to-be-processed image, a first warning prompt information is generated according to the running parameter curve and the packaging detection result, and the corresponding component is adjusted and updated based on the first warning prompt information.

[0102] Optionally, the first warning prompt information can be warned through at least one of the following modes: sound broadcast, flashing of the corresponding light source, short message, email, etc., so that the corresponding staff adjusts the corresponding component according to the first warning prompt information. For example, adjusting the sealing temperature, replacing the damaged component, etc. Based on this, the continuity of the packaging process of the target cigarette packaging machine and the stability of the product quality can be ensured.

[0103] Optionally, in the embodiment of the present application, fault detection can also be performed on all components of the target cigarette packaging machine to avoid energy consumption caused by component failure. The specific mode can be: acquiring device running parameters corresponding to each component of the target cigarette packaging machine; wherein the components of the target cigarette packaging machine at least include: an electric control system, a conveyor belt, a sealing component, a heating component, and an adjusting component; processing the device running parameters based on a fault prediction model to determine a fault prediction result, wherein the fault prediction result includes: a fault component of the target cigarette packaging machine and / or a remaining use time of each component; generating a second warning prompt information based on the fault prediction result, and adjusting and updating at least one component of the target cigarette packaging machine based on the second warning prompt information.

[0104] Among them, the fault detection model can be a machine learning model for predicting potential component failures and remaining service life, such as a random forest or neural network model. The electronic control system can be a control system for controlling the operation of the target cigarette packing machine. The conveyor belt can be a conveyor belt for conveying materials, small boxes of cigarettes, cartons of cigarettes and / or boxes of cigarettes. The sealing component can be a component for sealing materials. The heating component can be a component for heating materials. The adjustment component can be a component for adjusting the position, parameters or operating status of other components. The fault prediction results include: the remaining service life of the faulty components and / or each component of the target cigarette packing machine. The remaining service life can be understood as the length of time that the component can be used. The second early warning prompt information can be information for prompting component replacement.

[0105] Specifically, the equipment operating parameters corresponding to each component of the target cigarette smoke packaging machine are obtained. The equipment operating parameters corresponding to each component are processed through the fault prediction model to determine the remaining usage time corresponding to each component. When the remaining usage time is less than the first usage time threshold, the component is determined to be a faulty component. When the remaining usage time is greater than the first usage time threshold and less than the second usage time threshold, it indicates that the component needs to be repaired or replaced. Then, a second early warning prompt information can be generated based on the components that need to be repaired or replaced and / or the faulty components, so that the faulty components and / or components that need to be repaired or replaced of the target cigarette smoke packaging machine can be repaired or replaced based on the second early warning prompt information.

[0106] Based on this, the faulty parts and / or parts that need to be repaired or replaced of the target cigarette packing machine can be processed in a timely manner, reducing the unexpected downtime of the target cigarette packing machine, which not only avoids energy waste caused by component problems, but also improves production efficiency and ensures product quality.

[0107] Optionally, after determining the faulty component and the component requiring repair or replacement, the fault causes corresponding to the faulty component and the component requiring repair or replacement may be analyzed according to the fault diagnosis model, so as to generate a second early warning prompt message based on the fault causes corresponding to the component requiring repair or replacement and the faulty component. For example, the fault cause may be a motor failure caused by motor overload.

[0108] It should be noted that the fault prediction results and the second warning prompt information, as well as the corresponding component repair and replacement information, can be recorded to facilitate the subsequent maintenance of the target cigarette packing machine and optimization of the fault prediction model.

[0109] Optionally, a detailed preventive maintenance plan can be formulated based on the fault prediction results, the second warning prompt information, and the corresponding component repair and replacement information, including regular replacement of filter elements, lubrication of components, inspection of electronic control systems, etc.

[0110] Optionally, in the embodiments of the present application, the production process nodes can also be adjusted based on the data information corresponding to each production process node of the target cigarette packaging machine to avoid abnormal energy consumption of some production process nodes. The specific method can be: obtaining the equipment operation parameters and node energy consumption data of the corresponding components under each production process node of the target cigarette packaging machine; determining at least one to-be-adjusted process node based on the equipment operation parameters and node energy consumption data of the corresponding components under each production process node to adjust at least one to-be-adjusted process node.

[0111] Wherein, the production process node can be understood as the production packaging procedure corresponding to the target cigarette packaging machine. The node energy consumption data can be understood as the total energy consumption data corresponding to the production process node. The to-be-adjusted process node can be understood as the production process node that needs to be adjusted. Optionally, if the production speed in the equipment operation parameters corresponding to a certain production process node is too slow and the node energy consumption data is high, it may cause energy waste, and the production process node can be taken as the to-be-adjusted process node.

[0112] Specifically, the equipment operation parameters of at least one component under each production process node of the target cigarette packaging machine are obtained, and the node energy consumption data corresponding to each production process node is determined. Based on the equipment operation parameters of the plurality of components under each production process node and the node energy consumption data of the corresponding production process node, at least one to-be-adjusted process node is determined. At least one tool such as Value Stream Mapping (VSM), 5S management method and / or continuous improvement (Kaizen) is used to improve or redesign the to-be-adjusted process node to achieve the purpose of reducing energy waste.

[0113] Optionally, a continuous monitoring mechanism can be established to track the energy consumption changes in real time by monitoring the monitoring video collected by each production process node, and verify the effectiveness of the to-be-adjusted process node after adjustment.

[0114] Optionally, the workers corresponding to each to-be-adjusted process node can be trained to eliminate unnecessary operations, turn off the power of unused equipment in time, and avoid no-load operation.

[0115] Optionally, when adjusting the parts corresponding to the packaging process of the target cigarette machine packaging machine, and / or when adjusting the faulty parts of the target cigarette machine packaging machine, and / or when adjusting at least one to-be-adjusted flow node corresponding to the target cigarette machine packaging machine, the digital twin model corresponding to the target cigarette machine packaging machine can be adjusted by corresponding warning prompt information or to-be-adjusted flow node, to obtain an adjusted digital twin model, so as to adjust the target cigarette machine packaging machine based on the simulation running result corresponding to the adjusted digital twin model, to ensure accurate adjustment of the target cigarette machine packaging machine.

[0116] Optionally, the energy consumption of the target cigarette machine packaging machine can also be detected and the parts can also be adjusted regularly to ensure the continuity of the energy consumption control of the target cigarette machine packaging machine.

[0117] The technical scheme of the embodiment, by acquiring the to-be-processed energy consumption data of the target cigarette machine packaging machine in at least one dimension when the target cigarette machine packaging machine is in a running state, provides data support for subsequent energy consumption evaluation. The energy consumption evaluation model is used to perform feature extraction processing on the to-be-processed energy consumption data in at least one dimension to obtain at least one to-be-used feature, and the target kernel function and the decision function are used to process the to-be-used feature to obtain an energy consumption evaluation result. In the case where it is determined based on the energy consumption evaluation result that the target cigarette machine packaging machine has energy consumption abnormalities, if the to-be-processed energy consumption data in at least one dimension does not meet the energy consumption threshold range in the corresponding dimension, it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data meet the preset energy consumption condition. According to the energy consumption evaluation result and the to-be-processed energy consumption data in at least one dimension, an energy consumption optimization prompt information is generated, and the target cigarette machine packaging machine is adjusted according to the energy consumption optimization prompt information, to realize energy consumption control of the target cigarette machine packaging machine and avoid energy waste. The present application solves the problem that in the prior art, it is difficult to achieve accurate energy consumption control processing of the cigarette machine packaging machine by manually evaluating the energy consumption of each part of the cigarette machine packaging machine, and it is difficult to ensure that the energy consumption of the updated parts of the cigarette machine packaging machine meets the corresponding production requirements. By processing the to-be-processed energy consumption data in at least one dimension through the energy consumption evaluation model, the accuracy and reliability of the energy consumption detection of the cigarette machine packaging machine are improved, which is conducive to the energy consumption control processing of the cigarette machine packaging machine based on the energy consumption evaluation result, avoids energy waste, and ensures production cost and environmental benefits.

[0118] Embodiment three

[0119] Figure 3 is a structural schematic diagram of an energy consumption control device for a cigarette machine packaging machine provided by the embodiment three of the present application. As shown in Figure 3 , the device comprises a data acquisition module 310, an energy consumption evaluation module 320, and a packaging machine adjustment module 330.

[0120] The data acquisition module 310 is configured to acquire the to-be-processed energy consumption data of the target cigarette machine packaging machine in at least one dimension when the target cigarette machine packaging machine is in a running state, wherein the at least one dimension includes at least one of a motor power dimension, a heating component energy consumption dimension, and a conveyor belt energy consumption dimension of the target cigarette machine packaging machine; the energy consumption evaluation module 320 is configured to process the to-be-processed energy consumption data in the at least one dimension based on a pre-trained energy consumption evaluation model to obtain an energy consumption evaluation result of the target cigarette machine packaging machine; and the packaging machine adjustment module 330 is configured to, when it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy a preset energy consumption condition, generate energy consumption optimization prompt information based on the energy consumption evaluation result and the to-be-processed energy consumption data in the at least one dimension, and adjust the target cigarette machine packaging machine based on the energy consumption optimization prompt information.

[0121] The technical scheme of the embodiment provides data support for subsequent energy consumption evaluation by acquiring the to-be-processed energy consumption data of the target cigarette machine packaging machine in at least one dimension when the target cigarette machine packaging machine is in a running state. The energy consumption evaluation result of the target cigarette machine packaging machine is obtained by processing the to-be-processed energy consumption data in the at least one dimension based on a pre-trained energy consumption evaluation model. When it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy a preset energy consumption condition, the energy consumption optimization prompt information is generated based on the energy consumption evaluation result and the to-be-processed energy consumption data in the at least one dimension, and the target cigarette machine packaging machine is adjusted based on the energy consumption optimization prompt information, so as to realize energy consumption control of the target cigarette machine packaging machine and avoid energy waste. The present application solves the problem that it is difficult to realize accurate energy consumption control processing and to ensure that the energy consumption of the cigarette machine packaging machine with updated components meets the corresponding production requirements in the prior art by manually evaluating the energy consumption of each component of the cigarette machine packaging machine. The accuracy and reliability of energy consumption detection of the cigarette machine packaging machine are improved by processing the to-be-processed energy consumption data in the at least one dimension based on the energy consumption evaluation model, which is beneficial to energy consumption control processing of the cigarette machine packaging machine based on the energy consumption evaluation result and avoids energy waste, thereby ensuring production cost and environmental protection benefits.

[0122] On the basis of the above-mentioned embodiment, the device further includes a cigarette machine packaging machine modeling module configured to perform digital modeling processing on the target cigarette machine packaging machine to determine a digital twin model corresponding to the target cigarette machine packaging machine, and upload the acquired to-be-processed energy consumption data in the at least one dimension to the digital twin model to process the to-be-processed energy consumption data based on an energy consumption evaluation model corresponding to the digital twin model.

[0123] Optionally, the energy consumption evaluation model is a support vector machine model, and the energy consumption evaluation module is configured to perform feature extraction processing on the to-be-processed energy consumption data in at least one dimension to obtain at least one to-be-used feature; perform nonlinear transformation processing on the at least one to-be-used feature based on a target kernel function of the energy consumption evaluation model to obtain a processing result; and perform processing on the processing result by a decision function of the energy consumption evaluation model to obtain an energy consumption evaluation result.

[0124] Optionally, the packaging machine adjustment module comprises a condition judgment unit configured to, in a case where it is determined that the target cigarette packaging machine has energy consumption abnormality based on the energy consumption evaluation result, determine that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy a preset energy consumption condition if the to-be-processed energy consumption data in at least one dimension does not satisfy an energy consumption threshold range in the corresponding dimension.

[0125] Optionally, the packaging machine adjustment module further comprises an energy consumption threshold range determination unit configured to obtain a plurality of historical energy consumption data of the target cigarette packaging machine in each dimension, and determine mean value data and standard deviation data corresponding to the plurality of historical energy consumption data in each dimension; perform processing on the mean value data and the standard deviation data in each dimension according to a preset threshold determination function to obtain an energy consumption upper threshold and an energy consumption lower threshold corresponding to each dimension; and determine an energy consumption threshold range corresponding to each dimension based on the energy consumption upper threshold and the energy consumption lower threshold in each dimension.

[0126] Optionally, the packaging machine adjustment module further comprises an energy recovery unit configured to, if the to-be-processed energy consumption data in at least one dimension exceeds the energy consumption upper threshold of the energy consumption threshold range in the corresponding dimension, and adjacent energy consumption data in at least one dimension at least two adjacent collection time points after a collection time point corresponding to the to-be-processed energy consumption data exceed the energy consumption upper threshold of the energy consumption threshold range in the corresponding dimension, perform energy recovery processing based on a waste heat recovery component integrated on the target cigarette packaging machine.

[0127] Optionally, the device further comprises a packaging component adjustment module configured to obtain at least one to-be-processed image corresponding to a packaging process of the target cigarette packaging machine within a preset time length according to a camera device deployed at at least one first preset position corresponding to the target cigarette packaging machine; obtain device operating parameters of at least one component corresponding to the packaging process of the target cigarette packaging machine within the preset time length according to a sensor device deployed at at least one second preset position corresponding to the target cigarette packaging machine, and determine at least one operating parameter curve based on the device operating parameters of the at least one component within the preset time length; determine a packaging detection result corresponding to the target cigarette packaging machine according to the at least one to-be-processed image within the preset time length; generate a first early warning prompt information according to the operating parameter curve and / or the packaging detection result, and perform adjustment and update processing on the component corresponding to the packaging process of the target cigarette packaging machine based on the first early warning prompt information.

[0128] Optionally, the device further comprises a component fault detection module configured to acquire equipment operation parameters corresponding to each component of the target cigarette packaging machine;wherein the components of the target cigarette packaging machine at least include an electric control system, a conveying belt, a sealing component, a heating component, and an adjusting component;the equipment operation parameters are processed based on a fault prediction model to determine a fault prediction result, wherein the fault prediction result includes a fault component of the target cigarette packaging machine and / or a remaining use time length of each component;a second early warning prompt information is generated based on the fault prediction result, so as to adjust and update at least one component of the target cigarette packaging machine based on the second early warning prompt information.

[0129] Optionally, the method further comprises a process node adjustment module configured to acquire equipment operation parameters and node energy consumption data of corresponding components under each production process node corresponding to the target cigarette packaging machine;at least one process node to be adjusted is determined based on the equipment operation parameters and the node energy consumption data of the corresponding components under each production process node, so as to adjust the at least one process node to be adjusted.

[0130] Optionally, the packaging machine adjustment module comprises a cigarette packaging machine adjustment unit configured to adjust the digital twin model corresponding to the target cigarette packaging machine based on the energy consumption optimization prompt information to obtain an adjusted digital twin model;the adjusted digital twin model is simulated to determine a target operation parameter combination;each target operation parameter in the target operation parameter combination is applied to the corresponding component of the target cigarette packaging machine.

[0131] The energy consumption control device applied to the cigarette packaging machine provided by the embodiment of the present application can execute the energy consumption control method applied to the cigarette packaging machine provided by any embodiment of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0132] Embodiment four

[0133] Figure 4 is a structural schematic diagram of an electronic device provided by Embodiment Four of the present application. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0134] As Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., communicatively connected to the at least one processor 11, where the memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or loaded into the random access memory (RAM) 13 from the storage unit 18. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0135] Various components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc., an output unit 17, such as various types of displays, a speaker, etc., a storage unit 18, such as a magnetic disk, an optical disk, etc., and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0136] The processor 11 can be various general and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs various methods and processes described above, such as the energy consumption control method applied to a cigarette packer.

[0137] In some embodiments, the energy consumption control method applied to a cigarette packer can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the energy consumption control method applied to a cigarette packer described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the energy consumption control method applied to a cigarette packer by any other appropriate means, such as by means of firmware.

[0138] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a complex programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0139] A computer program for implementing the energy consumption control method applied to a cigarette packer of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed by the processor, implements the functions / operations specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0140] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program according to embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication unit 19, or installed from the storage unit 18, or installed from the ROM 12. When the computer program is executed by the processor 11, the above-mentioned functions defined in the methods of the embodiments of the present application are performed.

[0141] Embodiment Five

[0142] Embodiment Five of the present application also provides a computer-readable storage medium storing computer instructions for causing a processor to execute an energy consumption control method applied to a cigarette packer, the method comprising:

[0143] When the target cigarette packer is in a running state, obtain to-be-processed energy consumption data of the target cigarette packer in at least one dimension, wherein the at least one dimension includes at least one of a motor power dimension, a heating component energy consumption dimension, and a conveyor belt energy consumption dimension of the target cigarette packer; process the to-be-processed energy consumption data in the at least one dimension based on a pre-trained energy consumption evaluation model to obtain an energy consumption evaluation result of the target cigarette packer; and when it is determined that the energy consumption evaluation result and the to-be-processed energy consumption data satisfy a preset energy consumption condition, generate energy consumption optimization prompt information based on the energy consumption evaluation result and the to-be-processed energy consumption data in the at least one dimension, to adjust the target cigarette packer based on the energy consumption optimization prompt information.

[0144] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fibers, portable compact disc read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0145] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0146] The systems and techniques described herein can be implemented in a computing system that includes a back end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described herein, or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0147] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0148] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the present disclosure can be executed in parallel, executed in sequence, or executed in different orders, as long as the desired results of the technical solutions of the present disclosure can be achieved, and the present disclosure is not limited herein.

[0149] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. An energy consumption control method applied to a cigarette packaging machine, characterized in that: include: When a target cigarette machine packaging machine is in operation, obtaining to-be-processed energy consumption data of the target cigarette machine packaging machine in at least one dimension, wherein the at least one dimension comprises at least one of a motor power dimension, a heating component energy consumption dimension, and a conveyor belt energy consumption dimension of the target cigarette machine packaging machine; Processing the to-be-processed energy consumption data under the at least one dimension based on a pre-trained energy consumption evaluation model to obtain an energy consumption evaluation result of the target cigarette packaging machine; When it is determined that the energy consumption assessment result and the energy consumption data to be processed meet the preset energy consumption conditions, energy consumption optimization prompt information is generated based on the energy consumption assessment result and the energy consumption data to be processed under at least one dimension, so as to adjust the target cigarette machine packaging machine based on the energy consumption optimization prompt information.

2. The method according to claim 1, characterized in that The method further comprises: Performing digital modeling processing on the target cigarette packing machine to determine a digital twin model corresponding to the target cigarette packing machine; The acquired energy consumption data to be processed in at least one dimension is uploaded to the digital twin model so as to process the energy consumption data to be processed based on the energy consumption assessment model corresponding to the digital twin model.

3. The method according to claim 1, characterized in that The energy consumption evaluation model is a support vector machine model. The energy consumption data to be processed under the at least one dimension is processed based on the pre-trained energy consumption evaluation model to obtain the energy consumption evaluation result of the target cigarette packaging machine, including: Performing feature extraction processing on the energy consumption data to be processed in the at least one dimension to obtain at least one feature to be used; Performing nonlinear transformation processing on the at least one feature to be used based on the target kernel function of the energy consumption assessment model to obtain a processing result; The processing result is processed by the decision function of the energy consumption evaluation model to obtain an energy consumption evaluation result.

4. The method according to claim 1, wherein Determining that the energy consumption evaluation result and the energy consumption data to be processed meet a preset energy consumption condition includes: When it is determined that the target cigarette machine packaging machine has energy consumption anomalies based on the energy consumption assessment result, if the energy consumption data to be processed under at least one dimension does not meet the energy consumption threshold range under the corresponding dimension, it is determined that the energy consumption assessment result and the energy consumption data to be processed meet the preset energy consumption conditions.

5. The method according to claim 4, characterized in that The method further comprises: Acquire multiple historical energy consumption data of the target cigarette packing machine in each dimension, and determine mean data and standard deviation data corresponding to the multiple historical energy consumption data in each dimension; The mean data and standard deviation data under each dimension are processed according to the preset threshold determination function to obtain the corresponding energy consumption upper limit threshold and energy consumption lower limit threshold under each dimension; Based on the upper energy consumption threshold and the lower energy consumption threshold in each dimension, the energy consumption threshold range corresponding to each dimension is determined.

6. The method according to claim 4, characterized in that The method further comprises: If there is energy consumption data to be processed in at least one dimension that exceeds the energy consumption upper limit threshold of the energy consumption threshold range in the corresponding dimension, and the adjacent energy consumption data in at least one dimension in at least two adjacent collection moments after the collection moment corresponding to the energy consumption data to be processed exceeds the energy consumption upper limit threshold of the energy consumption threshold range in the corresponding dimension, energy recovery processing is performed based on the waste heat recovery component integrated in the target cigarette machine packaging machine.

7. The method according to claim 1, characterized in that The method further comprises: Acquiring at least one to-be-processed image corresponding to a packaging process of the target cigarette packer within a preset time period using a camera device deployed at at least one first preset position corresponding to the target cigarette packer; Acquiring, using a sensor device deployed at at least one second preset position corresponding to the target cigarette packing machine, equipment operating parameters of at least one component corresponding to the packaging process of the target cigarette packing machine within the preset time period, and determining at least one operating parameter curve based on the equipment operating parameters of the at least one component within the preset time period; Determining a packaging detection result corresponding to the target cigarette packing machine according to at least one to-be-processed image within the preset time period; According to the operating parameter curve and / or the packaging detection result, a first warning prompt information is generated, and based on the first warning prompt information, the components corresponding to the packaging process of the target cigarette machine packaging machine are adjusted and updated.

8. The method according to claim 1, characterized in that The method further comprises: Obtaining equipment operating parameters corresponding to each component of the target cigarette packing machine; wherein the components of the target cigarette packing machine include at least: an electronic control system, a conveyor belt, a sealing component, a heating component, and an adjusting component; Processing the equipment operating parameters based on the fault prediction model to determine a fault prediction result, wherein the fault prediction result includes: the faulty component of the target cigarette packing machine and / or the remaining service life of each component; A second early warning prompt information is generated based on the fault prediction result, so as to adjust and update at least one component of the target cigarette machine packaging machine based on the second early warning prompt information.

9. The method according to claim 1, characterized in that The method further comprises: Obtaining equipment operating parameters and node energy consumption data of corresponding components under each production process node corresponding to the target cigarette packing machine; Based on the equipment operating parameters of the corresponding components under each production process node and the node energy consumption data, at least one process node to be adjusted is determined, so as to perform adjustment processing on the at least one process node to be adjusted.

10. The method according to claim 1, characterized in that The adjusting process of the target cigarette packing machine based on the energy consumption optimization prompt information includes: Adjusting the digital twin model corresponding to the target cigarette packing machine based on the energy consumption optimization prompt information to obtain an adjusted digital twin model; Performing simulation processing on the adjusted digital twin model to determine a target operating parameter combination; Apply each target operating parameter in the target operating parameter combination to the corresponding component of the target cigarette machine packaging machine.

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