Production power distribution method and device based on industrial internet of things, terminal and medium

Abstract

The invention discloses a production power distribution method and device based on an industrial internet of things, a terminal and a medium. The method comprises the steps of obtaining a total power distribution amount corresponding to a production workshop, function partition information corresponding to the production workshop, equipment information corresponding to function partitions and production flow information corresponding to products; determining unit power consumption corresponding to the product according to the function partition information, the equipment information and the production flow information; and obtaining a target power distribution scheme according to the total power distribution amount, the function partition information, the equipment information, the production flow information and the unit power consumption. The power utilization efficiency of the production workshop is improved, and then the production efficiency of the production workshop is improved.

Description

Technical Field

[0001] This application relates to the technical field of distribution management, and particularly to a production power distribution method, device, terminal, and medium based on the industrial Internet of Things. Background Art

[0002] In modern industrial production, in order to ensure the efficient, safe, and reliable operation of the production workshop, the reasonable distribution of the power supply system is crucial. The power supply distribution in the production workshop needs to meet the following principles: Safety: The power supply system must comply with national and local safety standards to ensure that production accidents will not be caused by electrical failures; Reliability: Ensure the continuity and stability of power supply, especially for the power supply of key production equipment, to reduce production interruptions caused by power outages; Economy: Through reasonable power supply system design, reduce energy consumption and operating costs.

[0003] However, most of the current production power distribution in production workshops lacks effective energy consumption management. At the same time, it does not make adaptive adjustments in combination with the production process of products, the functional partitions in the production workshop, and the specific conditions of equipment, resulting in the phenomenon of redundant power distribution in individual functional partitions or equipment, and causing low power utilization efficiency. Summary of the Invention

[0004] The main purpose of this application is to provide a production power distribution method, device, terminal, and medium based on the industrial Internet of Things, aiming to improve the power utilization efficiency of the production workshop by combining industrial Internet of Things technology and neural network models, and further improve the production efficiency of the production workshop.

[0005] To achieve the above object, this application provides a production power distribution method based on the industrial Internet of Things, which is applied to a production power distribution system. The production power distribution system includes a management platform, an object platform, and a sensing network platform. The object platform includes a first power distribution system and a second power distribution system. The first power distribution system is used to manage the power distribution of each functional partition in the production workshop, and the second power distribution system is used to manage the power distribution of each device in each functional partition. The management platform is communicatively connected to the object platform through the sensing network platform;

[0006] The method includes:

[0007] Obtain the total power distribution corresponding to the production workshop, the functional partition information corresponding to the production workshop, the equipment information corresponding to the functional partition, and the production process information corresponding to the product, where the production process information is used to characterize the production process status of the production workshop during a production cycle;

[0008] Determine the unit power consumption corresponding to the product according to the function partition information, the device information, and the production process information, where the unit power consumption is used to represent the amount of electric power consumed for each product produced;

[0009] Through a preset power distribution model, obtain a target power distribution plan according to the total power distribution, the function partition information, the device information, the production process information, and the unit power consumption.

[0010] Specifically, the function partition information includes the number of function partitions and the number of devices in each function partition, the device information includes the power corresponding to each device, the production process information includes the output of the production workshop in a production cycle, the operating time of each device, the usage frequency of each device in the corresponding function partition, the processing time of the product in each function partition, and the processing time of the product on each device;

[0011] The determining the unit power consumption corresponding to the product according to the function partition information, the device information, and the production process information includes:

[0012] Based on the power corresponding to each device and the operating time of each device, calculate the power consumption corresponding to each device;

[0013] Based on the output of the production workshop in a production cycle, the processing time of the product on each device, and the power consumption corresponding to each device, calculate the unit power consumption of each device, where the unit power consumption of each device is used to represent the amount of electric power consumed by each device for each product produced;

[0014] Based on the usage frequency of each device in the corresponding function partition and the unit power consumption of each device, calculate the unit power consumption of each function partition, where the unit power consumption of each function partition is used to represent the amount of electric power consumed by each function partition for each product produced;

[0015] Based on the processing time of the product in each function partition and the unit power consumption of each function partition, calculate the unit power consumption corresponding to the product.

[0016] Specifically, the calculating the unit power consumption of each device based on the output of the production workshop in a production cycle, the processing time of the product on each device, and the power consumption corresponding to each device includes:

[0017] Based on the output of the production workshop during a production cycle and the processing time of the product on each device, calculate the number of products processed by each device during a production cycle;

[0018] Based on the power consumption corresponding to each device and the number of products processed by each device during a production cycle, calculate the unit power consumption of each device.

[0019] Specifically, calculating the unit power consumption of each functional area based on the usage frequency of each device in the corresponding functional area and the unit power consumption of each device includes:

[0020] According to the usage frequency of each device in the corresponding functional area, respectively determine the first weight corresponding to each device, where the unit power consumption of each device corresponds one-to-one with the first weight;

[0021] Calculate the first product between the unit power consumption of each device and the first weight;

[0022] Calculate the sum of each first product to obtain the unit power consumption of each functional area.

[0023] Specifically, calculating the unit power consumption corresponding to the product based on the processing time of the product in each functional area and the unit power consumption of each functional area includes:

[0024] According to the processing time of the product in each functional area, respectively determine the second weight corresponding to each functional area, where the unit power consumption of each functional area corresponds one-to-one with the second weight;

[0025] Calculate the second product between the unit power consumption of each functional area and the second weight;

[0026] Calculate the sum of each second product to obtain the unit power consumption corresponding to the product.

[0027] Specifically, the preset power distribution model includes a first input layer, a second input layer, a third input layer, a fourth input layer, a convolutional layer, a recurrent layer, an intermediate layer, and an output layer;

[0028] Obtaining the target power distribution plan through the preset power distribution model according to the total power distribution, the functional area information, the device information, the production process information, and the unit power consumption includes:

[0029] Through the first input layer, obtain the total power distribution vector according to the total power distribution;

[0030] Through the second input layer, a matrix corresponding to the functional partition information is obtained according to the functional partition information.

[0031] Through the third input layer, a matrix corresponding to the device information is obtained according to the device information.

[0032] Through the fourth input layer, time series data corresponding to the production process information is obtained according to the production process information.

[0033] Through the convolutional layer, a spatial feature vector corresponding to the functional partition information and a spatial feature vector corresponding to the device information are obtained according to the matrix corresponding to the functional partition information and the matrix corresponding to the device information.

[0034] Through the recurrent layer, a time feature vector corresponding to the production process information is obtained according to the time series data corresponding to the production process information.

[0035] Through the intermediate layer, an intermediate feature vector is obtained according to the total power distribution vector, the unit power consumption, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the device information, and the time feature vector corresponding to the production process information.

[0036] Through the output layer, a target matrix is obtained according to the intermediate feature vector, where the target matrix is used to represent the target power distribution scheme, and the elements in the target matrix are used to represent the power distribution amount of each device in a single target time period.

[0037] Specifically, the intermediate layer includes a fifth input layer, a merging layer, and a fully connected layer.

[0038] The obtaining of the intermediate feature vector through the intermediate layer according to the total power distribution vector, the unit power consumption, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the device information, and the time feature vector corresponding to the production process information includes:

[0039] Through the fifth input layer, a unit power consumption vector is obtained according to the unit power consumption.

[0040] Through the merging layer, a merged feature vector is obtained according to the total power distribution vector, the unit power consumption vector, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the device information, and the time feature vector corresponding to the production process information.

[0041] Through the fully connected layer, the intermediate feature vector is obtained according to the merged feature vector.

[0042] To achieve the above object, the present application further provides a production power distribution device based on the industrial Internet of Things, which is applied to a production power distribution system. The production power distribution system includes a management platform, an object platform, and a sensing network platform. The object platform includes a first power distribution system and a second power distribution system. The first power distribution system is used for power distribution management of each functional area in the production workshop, and the second power distribution system is used for power distribution management of each device in each functional area. The management platform and the object platform are communicatively connected through the sensing network platform;

[0043] The device includes:

[0044] A first unit, configured to obtain the total power distribution corresponding to the production workshop, the functional area information corresponding to the production workshop, the device information corresponding to the functional area, and the production process information corresponding to the product. Among them, the production process information is used to characterize the production process status of the production workshop during a production cycle;

[0045] A second unit, configured to determine the unit power consumption corresponding to the product according to the functional area information, the device information, and the production process information. Among them, the unit power consumption is used to characterize the amount of electric power consumed for each product produced;

[0046] A third unit, configured to obtain a target power distribution plan according to the total power distribution, the functional area information, the device information, the production process information, and the unit power consumption through a preset power distribution model.

[0047] To achieve the above object, the present application further provides a terminal, including a memory storing multiple instructions; the processor loads the instructions from the memory to execute the steps in any method provided by the present application.

[0048] To achieve the above object, the present application further provides a medium, which stores multiple instructions, and the instructions are suitable for being loaded by a processor to execute the steps in any method provided by the present application.

[0049] A production power distribution method, device, terminal, and medium based on industrial Internet of Things provided by this application can first obtain the total power distribution corresponding to the production workshop, the functional partition information corresponding to the production workshop, the equipment information corresponding to the functional partition, and the production process information corresponding to the product; then, according to the functional partition information, the equipment information, and the production process information, determine the unit power consumption corresponding to the product; finally, according to the total power distribution, the functional partition information, the equipment information, the production process information, and the unit power consumption, obtain a target power distribution plan aiming to improve the power usage efficiency of the production workshop.

[0050] This application can improve the power usage efficiency of the production workshop by combining industrial Internet of Things technology and neural network models, and further improve the production efficiency of the production workshop. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic flow chart of the method provided by an embodiment of this application;

[0052] Figure 2 It is a schematic diagram of the production power distribution system provided by an embodiment of this application;

[0053] Figure 3 It is a schematic structural diagram of the device provided by an embodiment of this application;

[0054] Figure 4 It is a schematic structural diagram of the terminal provided by an embodiment of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of this application.

[0056] Since most of the production power distribution in current production workshops lacks effective energy consumption management, and at the same time, it does not make adaptive adjustments in combination with the production process of products, the specific conditions of functional partitions and equipment in the production workshop, resulting in the phenomenon of redundant power distribution in individual functional partitions or equipment, causing low power usage efficiency.

[0057] Therefore, the embodiments of this application provide a production power distribution method, device, terminal, and medium based on industrial Internet of Things to solve actual technical problems.

[0058] In some embodiments, the device can be specifically integrated in an electronic device, and the electronic device can be a device such as a terminal or a server.

[0059] In some embodiments, the server can also be implemented in the form of a terminal.

[0060] Among them, the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.

[0061] Among them, the terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited thereto. The terminal and the server can be directly or indirectly connected through wired or wireless communication methods, and this application does not make any restrictions here.

[0062] The following will be described in detail respectively. It should be noted that the serial numbers of the following embodiments do not limit the preferred order of the embodiments.

[0063] The embodiment of the present application provides a production power distribution method based on the industrial Internet of Things. The method can improve the power usage efficiency of the production workshop by combining Internet of Things technology and a neural network model, and further improve the production efficiency of the production workshop.

[0064] As Figure 1 and Figure 2 shown, the method is applied to a production power distribution system. The production power distribution system includes a management platform, an object platform, and a sensing network platform. The object platform includes a first power distribution system and a second power distribution system. The first power distribution system is used to manage the power distribution of each functional area in the production workshop, and the second power distribution system is used to manage the power distribution of each device in each functional area. The management platform is communicatively connected to the object platform through the sensing network platform.

[0065] In some embodiments, the management platform is responsible for the management and control of the entire system, including task scheduling, data processing, etc.

[0066] The object platform can refer to an object-oriented design architecture for managing and processing various data objects within a system. The object platform provides a structured way to organize, store, and manipulate data, making the system more flexible and scalable. Specifically, in a production power distribution system, the object platform includes a first power distribution system and a second power distribution system. The first power distribution system is used to manage the power distribution for each functional area in the production workshop, and the second power distribution system is used to manage the power distribution for each device in each functional area.

[0067] The sensor network platform can serve as the middle layer of the production power distribution system, collecting data information from the object platform and responsible for transmitting the input instructions of the operator from the management platform to the object platform.

[0068] Industrial Internet of Things (IIoT) refers to a technology system that realizes the real-time collection, transmission, analysis, and application of data through the interconnection of Internet technology and physical devices such as sensors and intelligent devices in the industrial production and manufacturing process. The core goal of the Industrial Internet of Things is to improve production efficiency, optimize resource allocation, enhance product quality and safety, thereby promoting the intelligent and digital transformation of industrial production.

[0069] In some embodiments, based on the production power distribution system, the first power distribution system and the second power distribution system are controlled through the management platform, the target power distribution plan is obtained through the method, and the target power distribution plan is implemented through the first power distribution system and the second power distribution system to distribute power to each functional area and each device respectively.

[0070] Such as Figure 1 , the specific process of the method can be as follows:

[0071] S110. Obtain the total power distribution amount corresponding to the production workshop, the functional area information corresponding to the production workshop, the device information corresponding to the functional area, and the production process information corresponding to the product, where the production process information is used to characterize the production process status of the production workshop during a production cycle.

[0072] In some embodiments, the total power distribution amount corresponding to the production workshop can be the total power demand of the production workshop, which depends on its scale, production product type, number of functional areas, and number of devices. Usually, the total power demand will be determined through detailed load calculation during the design stage.

[0073] In some embodiments, the production workshop can be divided into multiple functional areas according to the production process and equipment of the product, and each area is responsible for specific production tasks. Specifically, the functional areas corresponding to the production workshop can include the following:

[0074] Raw material storage area: Used to store raw materials to ensure the material supply for production;

[0075] Pretreatment area: Conduct preliminary treatment on raw materials, such as cleaning, cutting, etc.;

[0076] Processing area: The area where the main production equipment is located for core production and processing;

[0077] Assembly area: Assemble the processed parts into the final product;

[0078] Quality inspection area: Conduct quality inspection on the finished products to ensure that the product quality meets the standards;

[0079] Packaging area: Package the qualified products and prepare for shipment;

[0080] Warehousing area: Used for temporary storage of finished products waiting for shipment.

[0081] The functional partition information corresponding to the production workshop can be used to characterize the conditions of each functional partition.

[0082] In some embodiments, each functional partition includes at least one device. The devices within the functional partition are configured according to production requirements, and the selection and layout of the devices directly affect production efficiency and product quality. Specifically, the setting of the functional partition and the devices may include the following:

[0083] Pretreatment area:

[0084] Devices: Washing machine, cutting machine, conveyor belt;

[0085] Processing area:

[0086] Devices: CNC machine tools, stamping machines, welding machines, injection molding machines;

[0087] Assembly area:

[0088] Devices: Assembly line, robot, inspection instrument;

[0089] Quality inspection area:

[0090] Devices: Inspection instrument, laboratory equipment;

[0091] Packaging area:

[0092] Devices: Packaging machine, labeling machine, carton sealing machine.

[0093] The device information can be used to characterize the conditions of each device.

[0094] In some embodiments, the production process may refer to a series of steps from raw materials to finished products, and each step requires precise control and coordination. Specifically, the production process information may include steps, the equipment corresponding to each step, the operating sequence of each piece of equipment used in each step, and the operating time of each piece of equipment, etc.

[0095] S120. Determine the unit power consumption corresponding to the product according to the function partition information, the equipment information, and the production process information, where the unit power consumption is used to represent the amount of electric power consumed for producing each product.

[0096] In some embodiments, the function partition information includes the number of function partitions and the number of equipment in each function partition, the equipment information includes the power corresponding to each piece of equipment, the production process information includes the output of the production workshop during a production cycle, the operating time of each piece of equipment, the usage frequency of each piece of equipment in the corresponding function partition, the processing time of the product in each function partition, and the processing time of the product on each piece of equipment.

[0097] Specifically, the determination of the unit power consumption corresponding to the product according to the function partition information, the equipment information, and the production process information includes the step contents of S121 to S124 as follows:

[0098] S121. Calculate the power consumption corresponding to each piece of equipment based on the power corresponding to each piece of equipment and the operating time of each piece of equipment.

[0099] In some embodiments, the power consumption corresponding to each piece of equipment can be calculated by the following calculation formula:

[0100] E ij =P ij ×t ij

[0101] Wherein, E ij represents the power consumption corresponding to each piece of equipment, P ij represents the power (kilowatts) of the jth piece of equipment in the ith function partition, and t ij represents the operating time (hours) of the jth piece of equipment in the ith function partition.

[0102] S122. Calculate the unit power consumption of each piece of equipment based on the output of the production workshop during a production cycle, the processing time of the product on each piece of equipment, and the power consumption corresponding to each piece of equipment, where the unit power consumption of each piece of equipment is used to represent the amount of electric power consumed by each piece of equipment for producing each product.

[0103] In some embodiments, calculating the power consumption per unit of each device based on the output of the production workshop in a production cycle, the processing time of the product on each device, and the power consumption corresponding to each device includes the step contents of S1221 to S1222 as shown below:

[0104] S1221. Calculate the number of products processed by each device in a production cycle based on the output of the production workshop in a production cycle and the processing time of the product on each device.

[0105] In some embodiments, the number of products processed by each device in a production cycle can be calculated by the following formula:

[0106]

[0107] where q k represents the output of the production workshop corresponding to this type of product in a production cycle, and T ijk represents the processing time (hours per piece) of this type of product on the j-th device in the i-th functional area.

[0108] S1222. Calculate the power consumption per unit of each device based on the power consumption corresponding to each device and the number of products processed by each device in a production cycle.

[0109] In some embodiments, the power consumption per unit of each device can be calculated by the following formula:

[0110]

[0111] where represents the power consumption per unit of each device.

[0112] S123. Calculate the power consumption per unit of each functional area based on the usage frequency of each device in the corresponding functional area and the power consumption per unit of each device, where the power consumption per unit of each functional area is used to characterize the power consumption per product produced in each functional area.

[0113] In some embodiments, calculating the power consumption per unit of each functional area based on the usage frequency of each device in the corresponding functional area and the power consumption per unit of each device includes the step contents of S1231 to S1233 as shown below:

[0114] S1231. Determine the first weight corresponding to each device according to the usage frequency of each device in the corresponding functional area, where the unit power consumption of each device corresponds one-to-one to the first weight.

[0115] In some embodiments, the first weight can be used to represent the weight of the device in the functional area to which it belongs and can be determined by the usage frequency of the device.

[0116] In some embodiments, the first weight can also be determined by the proportion of time of the device in the entire production process of the product.

[0117] S1232. Calculate the first product between the unit power consumption of each device and the first weight.

[0118] S1233. Calculate the sum of the first products to obtain the unit power consumption of each functional area.

[0119] In some embodiments, the unit power consumption of each functional area can be represented by the following calculation formula:

[0120]

[0121] where m i represents the number of devices in the i-th functional area, and W ij represents the weight of the j-th device in the i-th functional area, that is, the first weight.

[0122] S124. Based on the processing time of the product in each functional area and the unit power consumption of each functional area, calculate the unit power consumption corresponding to the product.

[0123] In some embodiments, the calculating the unit power consumption corresponding to the product based on the processing time of the product in each functional area and the unit power consumption of each functional area includes the step contents of S1241 to S1243 as follows:

[0124] S1241. Determine the second weight corresponding to each functional area according to the processing time of the product in each functional area, where the unit power consumption of each functional area corresponds one-to-one to the second weight.

[0125] In some embodiments, the second weight can be used to represent the weight of this type of product in each functional area and can be determined by the processing time of this type of product in each functional area.

[0126] In some embodiments, the second weight may also be determined by the time proportion of each functional partition of the product in the entire production process of the product.

[0127] S1242. Calculate a second product between the unit power consumption of each functional partition and the second weight.

[0128] S1243. Calculate the sum of the respective second products to obtain the unit power consumption corresponding to the product.

[0129] In some embodiments, the unit power consumption corresponding to the product may be represented by the following calculation formula:

[0130]

[0131] where n represents the number of functional partitions, V ik represents the weight of the product in the i-th functional partition, that is, the second weight, represents the unit power consumption of each functional partition.

[0132] S130. Through a preset power distribution model, obtain a target power distribution plan according to the total power distribution, the functional partition information, the equipment information, the production process information, and the unit power consumption.

[0133] In some embodiments, the preset power distribution model includes a first input layer, a second input layer, a third input layer, a fourth input layer, a convolutional layer, a recurrent layer, an intermediate layer, and an output layer.

[0134] In some embodiments, the obtaining of the target power distribution plan through the preset power distribution model according to the total power distribution, the functional partition information, the equipment information, the production process information, and the unit power consumption includes the step contents of S131 to S138 as shown below:

[0135] S131. Through the first input layer, obtain a total power distribution vector according to the total power distribution.

[0136] In some embodiments, input the total power distribution into the first input layer, and output the total power distribution vector.

[0137] S132. Through the second input layer, obtain a matrix corresponding to the functional partition information according to the functional partition information.

[0138] In some embodiments, through the second input layer, the attributes of each functional partition of the functional partition information are converted into numerical form to perform feature encoding, and the encoded features are combined into a matrix corresponding to the functional partition information, where each row represents a functional partition and each column represents a feature.

[0139] S133. Through the third input layer, according to the device information, obtain a matrix corresponding to the device information.

[0140] In some embodiments, through the third input layer, the attributes of each functional partition of the device information are converted into numerical form to perform feature encoding, and the encoded features are combined into a matrix corresponding to the device information, where each row represents a device and each column represents a feature.

[0141] S134. Through the fourth input layer, according to the production process information, obtain time series data corresponding to the production process information.

[0142] In some embodiments, through the fourth input layer, according to the production process information, clarify the attributes of each production step, such as step name, start time, end time, and production data, etc., and then the attributes of each production step can be converted into numerical form. For example:

[0143] For the step name: it can be represented using one-hot encoding, such as raw material storage -> [1, 0, 0, 0, 0, 0, 0], preprocessing -> [0, 1, 0, 0, 0, 0, 0], etc.;

[0144] For the start time and end time: they can be converted into timestamps (Unix timestamps) or time differences (number of minutes relative to a certain reference time);

[0145] For the production quantity: directly use numerical values to represent;

[0146] For the device status: it can be represented using binary encoding, such as normal -> 1, abnormal -> 0.

[0147] Then, the encoded features are combined into time series data corresponding to the production process information, where each row represents a time point and each column represents a feature.

[0148] S135. Through the convolutional layer, according to the matrix corresponding to the functional partition information and the matrix corresponding to the device information, obtain a spatial feature vector corresponding to the functional partition information and a spatial feature vector corresponding to the device information.

[0149] In some embodiments, the convolutional layer is used to extract spatial features of the input data, particularly patterns in device information and functional partition information. The structure of the convolutional layer includes the following:

[0150] Convolution kernel size: 3x3;

[0151] Number of filters: 32;

[0152] Activation function: ReLU function;

[0153] Padding: same.

[0154] Specifically, the matrix corresponding to the functional partition information and the matrix corresponding to the device information are respectively input into the convolutional layer, and are independently convolved and flattened, and the spatial feature vectors corresponding to the functional partition information and the spatial feature vectors corresponding to the device information are output.

[0155] S136. Through the recurrent layer, according to the time series data corresponding to the production process information, obtain the time feature vector corresponding to the production process information.

[0156] In some embodiments, the recurrent layer is used to process time series data, particularly time dependencies in production process information. The structure of the recurrent layer includes the following:

[0157] Unit type of the recurrent layer: LSTM;

[0158] Number of units in the recurrent layer: 32;

[0159] Return sequence of the recurrent layer: False (only return the state of the last time step).

[0160] Specifically, the time series data corresponding to the production process information is input into the recurrent layer for time feature extraction processing, and the time feature vector corresponding to the production process information is output.

[0161] S137. Through the intermediate layer, according to the total power distribution vector, the unit power consumption, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the device information, and the time feature vector corresponding to the production process information, obtain the intermediate feature vector.

[0162] In some embodiments, the intermediate layer includes a fifth input layer, a merging layer, and a fully connected layer.

[0163] Specifically, through the intermediate layer, according to the total power distribution vector, the unit power consumption, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the device information, and the time feature vector corresponding to the production process information, an intermediate feature vector is obtained, including the step contents from S1371 to S1373 as shown below:

[0164] S1371. Through the fifth input layer, according to the unit power consumption, a unit power consumption vector is obtained.

[0165] In some embodiments, the unit power consumption is input into the fifth input layer, and the unit power consumption vector is output.

[0166] S1372. Through the merge layer, according to the total power distribution vector, the unit power consumption vector, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the device information, and the time feature vector corresponding to the production process information, a merged feature vector is obtained.

[0167] Merge Layers is an important component in a neural network model. The merge layer allows multiple inputs or the outputs of the previous layer to be combined to form a new output.

[0168] In some embodiments, through the merge layer, the total power distribution vector, the unit power consumption vector, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the device information, and the time feature vector corresponding to the production process information are merged, and a new merged feature vector is output.

[0169] S1373. Through the fully connected layer, according to the merged feature vector, the intermediate feature vector is obtained.

[0170] In some embodiments, the number of neurons in the fully connected layer can be 64, and the activation function of the fully connected layer can be the ReLU function.

[0171] Specifically, the merged feature vector is input into the fully connected layer, and the intermediate feature vector is output.

[0172] S138. Through the output layer, according to the intermediate feature vector, a target matrix is obtained, where the target matrix is used to represent the target power distribution scheme, and the elements in the target matrix are used to represent the power distribution amount of each device in a single target time period.

[0173] Continuing with the above embodiments, the number of neurons in the output layer is m, that is, the neurons in the output layer correspond one by one to the equipment in the production workshop.

[0174] Specifically, each row in the target matrix represents each piece of equipment, and each column represents each target time period. The target time period is a continuous and non-interval time period. If the power distribution amount of a certain piece of equipment in a certain target time period is 0, the corresponding element value is recorded as 0. If a certain piece of equipment obtains power distribution in a certain target time period, the corresponding element value is the value of the power distribution amount.

[0175] In summary, the present application provides a production power distribution method based on the industrial Internet of Things. By combining the industrial Internet of Things technology and the neural network model, the power usage efficiency of the production workshop is improved, and thus the production efficiency of the production workshop is enhanced.

[0176] To better implement the above method, the embodiments of the present application further provide a production power distribution device based on the industrial Internet of Things. This device can be specifically integrated in an electronic device, and the electronic device can be a terminal, a server, etc. Among them, the terminal can be a mobile phone, a tablet computer, a smart Bluetooth device, a laptop computer, a personal computer, etc.; the server can be a single server or a server cluster composed of multiple servers.

[0177] For example, in this embodiment, taking the production power distribution device based on the industrial Internet of Things being specifically integrated in the terminal as an example, the method of the embodiments of the present application will be described in detail.

[0178] For example, as Figure 3 shown, the production power distribution device 300 based on the industrial Internet of Things may include a first unit 301, a second unit 302, and a third unit 303, and is applied to a production power distribution system. The production power distribution system includes a management platform, an object platform, and a sensing network platform. The object platform includes a first power distribution system and a second power distribution system. The first power distribution system is used for power distribution management of each functional area in the production workshop, and the second power distribution system is used for power distribution management of each piece of equipment in each functional area. The management platform is communicatively connected to the object platform through the sensing network platform;

[0179] The production power distribution device 300 based on the industrial Internet of Things includes:

[0180] The first unit 301 is configured to obtain the total power distribution amount corresponding to the production workshop, the functional area information corresponding to the production workshop, the equipment information corresponding to the functional area, and the production process information corresponding to the product, where the production process information is used to characterize the production process status of the production workshop during a production cycle;

[0181] The second unit 302 is configured to determine the unit power consumption corresponding to a product according to the function partition information, the device information, and the production process information, where the unit power consumption is used to represent the amount of power consumed for producing each product;

[0182] The third unit 303 is configured to obtain a target power distribution scheme according to the total power distribution, the function partition information, the device information, the production process information, and the unit power consumption through a preset power distribution model.

[0183] In specific implementation, each of the above units may be implemented as an independent entity, or may be combined arbitrarily to be implemented as the same or several entities. For the specific implementation of each of the above units, reference may be made to the foregoing method embodiments, which will not be elaborated herein.

[0184] As can be seen from the above, the embodiments of the present application can improve the power usage efficiency of a production workshop, and thus improve the production efficiency of the production workshop.

[0185] The embodiments of the present application further provide an electronic device, which may be a device such as a terminal or a server. Among them, the terminal may be a mobile phone, a tablet computer, a smart Bluetooth device, a notebook computer, a personal computer, etc.; the server may be a single server or a server cluster composed of multiple servers, etc.

[0186] In some embodiments, the product processing device may also be integrated in multiple electronic devices. For example, the product processing device may be integrated in multiple servers, and the production power distribution method based on the industrial Internet of Things of the present application may be implemented by multiple servers.

[0187] In this embodiment, the electronic device in this embodiment will be described in detail taking the example that the electronic device is a terminal. For example, as Figure 4 shown, it shows a schematic structural diagram of a terminal 400 involved in the embodiments of the present application. Specifically:

[0188] The terminal 400 may include a processor 401 with one or more processing cores, a memory 402 of one or more media, a power supply 403, an input module 404, and a communication module 405 and other components. Those skilled in the art can understand that Figure 4 the structure of the terminal 400 shown in does not constitute a limitation on the terminal 400, and it may include more or fewer components than shown, or combine certain components, or arrange different components. Among them:

[0189] The processor 401 is the control center of the terminal 400, connecting various parts of the entire terminal 400 through various interfaces and lines. By running or executing software programs and / or modules stored in the memory 402, and by invoking the data stored in the memory 402, it performs various functions of the terminal 400 and processes data, thereby monitoring the terminal 400 as a whole. In some embodiments, the processor 401 may include one or more processing cores; in some embodiments, the processor 401 may integrate an application processor and a modem processor. Among them, the application processor mainly processes the operating system, user interface, application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor may not be integrated into the processor 401 either.

[0190] The memory 402 can be used to store software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area. Among them, the program storage area can store the operating system, application programs required for at least one function (such as the sound playback function, image playback function, etc.); the data storage area can store the data created according to the use of the terminal 400. In addition, the memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices. Correspondingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.

[0191] The terminal 400 further includes a power supply 403 for powering each component. In some embodiments, the power supply 403 may be logically connected to the processor 401 through a power management system, so as to implement functions such as management of charging, discharging, and power consumption management through the power management system. The power supply 403 may also include any components such as one or more DC or AC power supplies, a recharge system, a power failure detection circuit, a power converter or inverter, and a power status indicator.

[0192] The terminal 400 may further include an input module 404, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls.

[0193] The terminal 400 may further include a communication module 405. In some embodiments, the communication module 405 may include a wireless module. The terminal 400 can perform short-range wireless transmission through the wireless module of the communication module 405, thereby providing users with wireless broadband Internet access. For example, the communication module 405 can be used to help users send and receive emails, browse web pages, and access streaming media, etc.

[0194] Although not shown, the terminal 400 may further include a display unit and the like, which will not be elaborated herein. Specifically, in this embodiment, the processor 401 in the terminal 400 will load the executable files corresponding to the processes of one or more application programs into the memory 402 according to the following instructions, and the processor 401 will run the application programs stored in the memory 402 to implement various functions as follows:

[0195] Obtain the total power distribution corresponding to the production workshop, the functional partition information corresponding to the production workshop, the equipment information corresponding to the functional partition, and the production process information corresponding to the product, wherein the production process information is used to characterize the production process status of the production workshop during a production cycle;

[0196] According to the functional partition information, the equipment information, and the production process information, determine the unit power consumption corresponding to the product, wherein the unit power consumption is used to characterize the amount of electric power consumed for each product produced;

[0197] Through a preset power distribution model, obtain a target power distribution plan according to the total power distribution, the functional partition information, the equipment information, the production process information, and the unit power consumption.

[0198] For the specific implementation of each of the above operations, reference may be made to the previous embodiments, which will not be elaborated herein.

[0199] As can be seen from the above, the embodiments of the present application can improve the power usage efficiency of the production workshop by combining industrial Internet of Things technology and neural network models, and further improve the production efficiency of the production workshop.

[0200] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling relevant hardware through instructions. The instructions can be stored in a medium and loaded and executed by a processor.

[0201] For this reason, the embodiments of the present application provide a medium, which stores multiple instructions that can be loaded by a processor to execute the steps in any one of the production power distribution methods based on industrial Internet of Things provided by the embodiments of the present application. For example, the instructions can execute the following steps:

[0202] Obtain the total power distribution corresponding to the production workshop, the functional partition information corresponding to the production workshop, the equipment information corresponding to the functional partition, and the production process information corresponding to the product, wherein the production process information is used to characterize the production process status of the production workshop during a production cycle;

[0203] Determine the unit power consumption corresponding to the product according to the function partition information, the device information, and the production process information, where the unit power consumption is used to characterize the amount of power consumed for each product produced;

[0204] Through a preset power distribution model, obtain a target power distribution plan according to the total power distribution amount, the function partition information, the device information, the production process information, and the unit power consumption.

[0205] Among them, the medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc, etc.

[0206] According to one aspect of the present application, there is provided a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a medium. The processor of the computer device reads the computer instructions from the medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the various optional implementation manners provided in the above embodiments.

[0207] Since the instructions stored in the medium can execute the steps in any one of the production power distribution methods based on the industrial Internet of Things provided in the embodiments of the present application, the beneficial effects that can be achieved by any one of the production power distribution methods based on the industrial Internet of Things provided in the embodiments of the present application can be realized. For details, see the previous embodiments and will not be repeated here.

[0208] The above has introduced in detail a production power distribution method, device, terminal, and medium based on the industrial Internet of Things provided in the embodiments of the present application. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A production power distribution method based on industrial Internet of Things, characterized in that: Applied to a production power distribution system, the production power distribution system includes a management platform, an object platform and a sensor network platform, the object platform includes a first power distribution system and a second power distribution system, the first power distribution system is used to perform power distribution management for each functional partition in a production workshop, the second power distribution system is used to perform power distribution management for each device in each functional partition, and the management platform is connected to the object platform through the sensor network platform; The method comprises: Obtaining the total amount of power distribution corresponding to the production workshop, the functional zoning information corresponding to the production workshop, the equipment information corresponding to the functional zoning, and the production process information corresponding to the product, wherein the production process information is used to characterize the production process status of the production workshop in a production cycle; Determine the unit power consumption corresponding to the product according to the functional partition information, the equipment information and the production process information, wherein the unit power consumption is used to characterize the amount of power consumed for producing each product; Through a preset power distribution model, a target power distribution plan is obtained according to the total power distribution amount, the functional zoning information, the equipment information, the production process information and the unit power consumption.

2. The method according to claim 1, characterized in that The functional partition information includes the number of functional partitions and the number of devices in each functional partition, the device information includes the power corresponding to each device, and the production process information includes the output of the production workshop in a production cycle, the operating time corresponding to each device, the use frequency of each device in the corresponding functional partition, the processing time of the product in each functional partition, and the processing time of the product on each device; The determining the unit power consumption corresponding to the product according to the functional partition information, the equipment information and the production process information includes: Based on the power corresponding to each device and the operating time corresponding to each device, calculate the power consumption corresponding to each device; Based on the output of the production workshop in a production cycle, the processing time of the product on each device and the power consumption corresponding to each device, the unit power consumption of each device is calculated, wherein the unit power consumption of each device is used to characterize the amount of power consumed by each device to produce each product; Based on the usage frequency of each device in the corresponding functional zone and the unit power consumption of each device, the unit power consumption of each functional zone is calculated, wherein the unit power consumption of each functional zone is used to characterize the amount of electricity consumed by each functional zone to produce one product; Based on the processing time of the product in each functional partition and the unit power consumption of each functional partition, the unit power consumption corresponding to the product is calculated.

3. The method according to claim 2, characterized in that The unit power consumption of each device is calculated based on the output of the production workshop in a production cycle, the processing time of the product on each device, and the power consumption corresponding to each device, including: Based on the output of the production workshop in a production cycle and the processing time of the product on each device, calculate the number of products processed by each device in a production cycle; Based on the power consumption corresponding to each device and the number of products processed by each device in a production cycle, the unit power consumption of each device is calculated.

4. The method according to claim 2, characterized in that The calculating the unit power consumption of each functional partition based on the usage frequency of each device in the corresponding functional partition and the unit power consumption of each device includes: Determine a first weight corresponding to each device according to the usage frequency of each device in the corresponding functional partition, wherein the unit power consumption of each device corresponds to the first weight one by one; calculating a first product between the unit power consumption of each device and the first weight; The sum of the first products is calculated to obtain the unit power consumption of each functional partition.

5. The method according to claim 2, characterized in that The calculating the unit power consumption corresponding to the product based on the processing time of the product in each functional partition and the unit power consumption of each functional partition includes: Determine the second weight corresponding to each functional zone according to the processing time of the product in each functional zone, wherein the unit power consumption of each functional zone corresponds to the second weight one by one; Calculating a second product between the unit power consumption of each functional partition and the second weight; The sum of the second products is calculated to obtain the unit power consumption corresponding to the product.

6. The method according to claim 1, characterized in that The preset power distribution model includes a first input layer, a second input layer, a third input layer, a fourth input layer, a convolutional layer, a recurrent layer, an intermediate layer and an output layer; The target power distribution scheme is obtained by using a preset power distribution model according to the total power distribution amount, the functional partition information, the equipment information, the production process information and the unit power consumption, including: Obtaining a total power distribution vector according to the total power distribution through the first input layer; Obtaining a matrix corresponding to the functional partition information according to the functional partition information through the second input layer; Obtaining a matrix corresponding to the device information according to the device information through the third input layer; Obtaining time series data corresponding to the production process information according to the production process information through the fourth input layer; Obtaining, through the convolution layer, a spatial feature vector corresponding to the functional partition information and a spatial feature vector corresponding to the device information according to the matrix corresponding to the functional partition information and the matrix corresponding to the device information; Obtaining a time feature vector corresponding to the production process information according to the time series data corresponding to the production process information through the circulation layer; Obtaining an intermediate feature vector through the intermediate layer according to the total power distribution vector, the unit power consumption, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the equipment information, and the time feature vector corresponding to the production process information; Through the output layer, a target matrix is ​​obtained according to the intermediate feature vector, wherein the target matrix is ​​used to characterize the target power allocation scheme, and the elements in the target matrix are used to characterize the power allocation amount of each device in a single target time period.

7. The method according to claim 6, characterized in that The intermediate layers include a fifth input layer, a merging layer, and a fully connected layer; The intermediate layer obtains an intermediate feature vector according to the total power distribution vector, the unit power consumption, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the equipment information, and the time feature vector corresponding to the production process information, including: Obtaining a unit power consumption vector according to the unit power consumption through the fifth input layer; Obtaining a merged feature vector through the merge layer according to the total power distribution vector, the unit power consumption vector, the spatial feature vector corresponding to the functional partition information, the spatial feature vector corresponding to the equipment information, and the time feature vector corresponding to the production process information; The intermediate feature vector is obtained through the fully connected layer according to the merged feature vector.

8. A production power distribution device based on industrial Internet of Things, characterized in that: Applied to a production power distribution system, the production power distribution system includes a management platform, an object platform and a sensor network platform, the object platform includes a first power distribution system and a second power distribution system, the first power distribution system is used to perform power distribution management for each functional partition in a production workshop, the second power distribution system is used to perform power distribution management for each device in each functional partition, and the management platform is connected to the object platform through the sensor network platform; The device comprises: The first unit is used to obtain the total amount of power distribution corresponding to the production workshop, the functional division information corresponding to the production workshop, the equipment information corresponding to the functional division, and the production process information corresponding to the product, wherein the production process information is used to characterize the production process status of the production workshop in a production cycle; A second unit is used to determine a unit power consumption corresponding to a product according to the functional partition information, the equipment information and the production process information, wherein the unit power consumption is used to represent the amount of power consumed for producing each product; The third unit is used to obtain a target power distribution plan according to the total power distribution amount, the functional zoning information, the equipment information, the production process information and the unit power consumption through a preset power distribution model.

9. A terminal, characterized in that: The method comprises a processor and a memory, wherein the memory stores a plurality of instructions; the processor loads instructions from the memory to execute the steps in the method according to any one of claims 1 to 7.

10. A medium, characterized in that The medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the steps in the method according to any one of claims 1 to 7.

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