Analysis and management method of energy measurement data and related equipment

Abstract

The embodiment of the invention provides an energy measurement data analysis and management method and related equipment, which can master the energy consumption condition of each production equipment and provide a direct basis for energy conservation and consumption reduction of enterprises. The method comprises the steps that energy measurement data of each meter in N meters on target production equipment in a current period are collected, N is an integer larger than or equal to 1, and the target production equipment is any one of multiple pieces of production equipment; formatting the energy metering data of each meter to obtain first energy metering data of each meter; determining a target period corresponding to the current period according to the metering data comparison mode of the target production equipment; acquiring second energy metering data of each meter in the target period; and comparing the first energy measurement data with the second energy measurement data to obtain a comparison result corresponding to each meter, and displaying the comparison result corresponding to each meter.

Description

Technical Field

[0001] The present invention relates to the field of energy management, and in particular to an analysis and management method for energy metering data and related equipment. Background Art

[0002] With the continuous development of society, the state has put forward specific requirements for the development and use of energy in industrial enterprises, requiring relevant staff of industrial enterprises to pay attention to energy conservation in the production process. Industrial enterprises consume a lot of energy resources in daily production. Reasonable and effective control of the energy consumption of industrial enterprises can control the energy consumption of the entire society to a certain extent. With the continuous development of network technology, informatization has been applied to the production processes of various industries, which has a very obvious positive impact on improving the production efficiency and management efficiency of the industry. Industrial enterprises apply informatization to energy measurement management, which can effectively promote the rapid development of energy measurement management in industrial enterprises.

[0003] The information-based energy metering management work model will, to a certain extent, promote the information-based management of industrial enterprises, transform enterprises from the traditional manual energy metering management model to the information-based one, improve the work quality and efficiency of energy metering management, and drive industrial enterprises towards a paperless energy metering management work model. Summary of the invention

[0004] The embodiment of the present invention provides an analysis and management method for energy metering data and related equipment. By collecting energy consumption data on various production equipment and analyzing and outputting the data, the energy consumption of each production equipment can be grasped, providing a direct basis for enterprises to save energy and reduce consumption.

[0005] A first aspect of the present invention provides an analysis and management method for energy metering data, the method comprising:

[0006] Collecting energy metering data of each meter in N meters of a target production device in a current cycle, wherein N is an integer greater than or equal to 1, and the target production device is any one of the multiple production devices;

[0007] Formatting the energy metering data of each meter to obtain first energy metering data of each meter;

[0008] Determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment;

[0009] Acquire the second energy metering data of each meter in the target period;

[0010] The first energy metering data is compared with the second energy metering data to obtain a comparison result corresponding to each meter, and the comparison result corresponding to each meter is displayed.

[0011] In one possible design, the method further includes:

[0012] Determine a first energy consumption condition of the target production equipment in the current cycle according to the energy metering data of each meter;

[0013] The first energy consumption condition is input into a prediction model to predict the energy consumption condition of the target production equipment in the next cycle of the current cycle.

[0014] In one possible design, the method further includes:

[0015] Determine a second energy consumption condition of the target production equipment in the current cycle according to the energy metering data of each meter;

[0016] An energy consumption curve of the target production equipment in the current cycle is generated according to the second energy consumption condition.

[0017] In one possible design, the method further includes:

[0018] Determine the display method of the comparison result corresponding to each meter;

[0019] Based on the display method, the comparison results corresponding to each meter are visually displayed.

[0020] In a possible design, the energy metering data of each meter among N meters on the target production equipment is collected, including:

[0021] Determine a set of data collection moments for multiple production equipment in the current cycle;

[0022] According to each data collection time of the data collection time set, each meter on the target generation device is collected in turn to obtain the energy metering data.

[0023] In one possible design, the method further includes:

[0024] Adding a timestamp and a quality stamp to the energy metering data based on the multiple collection moments;

[0025] The energy metering data with timestamp and quality stamp added is stored in a distributed manner.

[0026] A second aspect of the present invention provides an analysis and management device for energy metering data, comprising:

[0027] A collection module, used to collect energy metering data of each meter in N meters on the target production equipment in the current cycle, wherein N is an integer greater than or equal to 1, and the target production equipment is any one of the multiple production equipment;

[0028] a formatting processing module, used for formatting the energy metering data of each meter to obtain the first energy metering data of each meter;

[0029] A determination module, used to determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment;

[0030] An acquisition module, used for acquiring the second energy metering data of each meter within the target period;

[0031] The comparison module is used to compare the first energy metering data with the second energy metering data to obtain the comparison result corresponding to each meter, and display the comparison result corresponding to each meter.

[0032] In a possible design, the comparison module is further used for:

[0033] Determine a first energy consumption condition of the target production equipment in the current cycle according to the energy metering data of each meter;

[0034] The first energy consumption condition is input into a prediction model to predict the energy consumption condition of the target production equipment in the next cycle of the current cycle.

[0035] In a possible design, the comparison module is further used for:

[0036] Determine a second energy consumption condition of the target production equipment in the current cycle according to the energy metering data of each meter;

[0037] An energy consumption curve of the target production equipment in the current cycle is generated according to the second energy consumption condition.

[0038] In a possible design, the comparison module is further used for:

[0039] Determine the display method of the comparison result corresponding to each meter;

[0040] Based on the display method, the comparison results corresponding to each meter are visually displayed.

[0041] In a possible design, the acquisition module is specifically used for:

[0042] Determine a set of data collection moments for multiple production equipment in the current cycle;

[0043] According to each data collection time of the data collection time set, each meter on the target generation device is collected in turn to obtain the energy metering data.

[0044] In a possible design, the acquisition module is further used for:

[0045] Adding a timestamp and a quality stamp to the energy metering data based on the multiple collection moments; and distributively storing the energy metering data after adding the timestamp and the quality stamp.

[0046] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the processor is used to implement the steps of the energy metering data analysis and management method as described in the first aspect when executing a computer management program stored in the memory.

[0047] A fourth aspect of the present invention provides a computer-readable storage medium having a computer management program stored thereon, which, when executed by a processor, implements the steps of the energy metering data analysis and management method as described in the first aspect above.

[0048] In summary, it can be seen that in the embodiment provided by the present invention, by collecting energy consumption data on each production equipment and analyzing and outputting the energy consumption data, the energy consumption of each production equipment can be mastered, providing a direct basis for the enterprise to save energy and reduce consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 An architectural diagram of an analysis and management system for energy metering data provided by an embodiment of the present invention;

[0050] Figure 2 A schematic diagram of a flow chart of a method for analyzing and managing energy metering data provided by an embodiment of the present invention;

[0051] Figure 3 A schematic diagram of a virtual structure of an energy metering data analysis and management device provided by an embodiment of the present invention;

[0052] Figure 4 A schematic diagram of the hardware structure of the energy metering data analysis and management device provided in an embodiment of the present invention;

[0053] Figure 5 A schematic diagram of an electronic device according to an embodiment of the present invention;

[0054] Figure 6 A schematic diagram of an embodiment of a computer-readable storage medium provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0056] In the following description, specific embodiments of the present invention will be described with reference to steps and symbols performed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be mentioned several times as being performed by a computer, and computer execution referred to herein includes operations by a computer processing unit of electronic signals representing data in a structured form. This operation converts the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise change the operation of the computer in a manner familiar to testers in the field. The data structure maintained by the data is a physical location in the memory, which has specific characteristics defined by the data format. However, the principles of the present invention are described in the above text, which does not represent a limitation, and testers in the field will understand that the various steps and operations described below can also be implemented in hardware.

[0057] The principles of the present invention operate with many other general or special purpose computing, communication environments or configurations. Examples of well-known computing systems, environments and configurations suitable for use with the present invention may include, but are not limited to, handheld phones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe computers, and distributed computing environments, including any of the above systems or devices.

[0058] The terms "first", "second", and "third" in the present invention are used to distinguish different objects rather than to describe a specific order. In addition, the terms "include", "have", and any variations thereof are intended to cover non-exclusive inclusions.

[0059] like Figure 1 As shown, Figure 1 An energy metering data analysis and management system provided in an embodiment of the present invention mainly includes a data acquisition module, a data storage module, a data analysis module and a data display module;

[0060] The data acquisition module is used to collect data from smart electricity meters, water meters, gas meters, and pipeline flow meters on production equipment and transmit them to the data storage module;

[0061] The data storage module is used to store and manage the data collected by the data collection module, and upload the collected data to the data analysis module;

[0062] The data analysis module is used to analyze and display the uploaded data and present the results to the user;

[0063] The data display module is used to display visual graphics based on the data after data analysis.

[0064] The data acquisition module serves as a data integration layer and integrates a data processing layer. The data integration layer and the data processing layer are described in detail below:

[0065] Data integration layer: connect to multiple production devices through network cables, serial ports, or other buses (such as CAN), obtain the status of the device and energy metering data through the device driver, and send commands to multiple production devices. Establish a physical connection between the machine where the data acquisition module is located (such as a server) and the production equipment, usually a network cable (serial port, etc.); configure the driver in the data acquisition module to configure the driver parameters for the SCADA node that needs to connect the device; send (deploy) the driver configuration to the data acquisition module background service. Support docking with various mainstream protocols, such as OPC protocol, OPC UA protocol, Siemens S7 series PLC, 104 protocol, AB PLC, ICG gateway, modbus protocol, snmp2 protocol, tdc product protocol.

[0066] Data processing layer: implements operations such as data storage, forwarding, aggregation, and threshold judgment.

[0067] Among them, the data storage module is used as the data storage layer. The types of data that the energy metering data analysis and management system needs to process are different, and the amount of data also varies. It is necessary to design and apply different types of databases for different types of data in combination with the characteristics of data application. For real-time data of energy consumption, it is necessary to control the timestamp and quality stamp of each measuring point, and use a real-time database to ensure the real-time nature of the data; for cache data, a distributed memory database is used to provide cache services for high-frequency access data to accelerate data access efficiency; for statistical analysis of data and management data, the data after statistical analysis uses a traditional relational database to facilitate the subsequent generation of rich reports.

[0068] Among them, the data analysis module serves as the data analysis layer, which realizes real-time analysis and data mining of the integrated original data, real-time data and historical data. The system provides flexible and scalable data analysis capabilities through indicator design tools.

[0069] Among them, the data display module serves as the data display layer. Through the numerous visual configuration tools provided by the system, it realizes data visualization functions including personalized user view dashboards, equipment energy consumption monitoring, comprehensive statistical charts, and various terminal display methods including mobile APP clients and large screens.

[0070] The following describes the energy metering data analysis and management method provided by an embodiment of the present invention from the perspective of an energy metering data analysis and management device. The energy metering data analysis and management device may be a server or a service unit in the server, without specific limitation.

[0071] See also Figure 2 , Figure 2 A flow chart of a method for analyzing and managing energy metering data provided by an embodiment of the present invention includes:

[0072] 201. Collect energy metering data of each of N meters on target production equipment in the current cycle.

[0073] In this embodiment, the energy metering data analysis and management device can collect the energy metering data of each meter in the current cycle of N meters set on the target production equipment, wherein the target equipment is any one of the multiple production equipment, N is an integer greater than or equal to 1, and the N meters are meters set on the target production equipment for counting various energy consumption readings, and the meters include but are not limited to smart electricity meters, smart water meters, smart gas meters, and pipeline flow meters. The following is a detailed description of how to collect the energy metering data of each meter in the current cycle of N meters on the target production equipment:

[0074] Step A1: determine a data collection time set for multiple production equipment in the current cycle.

[0075] In this step, the analysis and management device for energy metering data can determine a set of data collection moments for multiple production equipment within the current cycle. The current cycle can be 1 day or 1 month, without specific limitation. The data collection moment set is also the moment when data needs to be collected for each of the multiple production equipment within the current cycle. Taking the current cycle of 1 day as an example, the data collection moment can be, for example, every half hour for 24 hours a day. Of course, it can also be adjusted according to actual conditions, without specific limitation.

[0076] Step A2: Collect energy metering data of each of the N metering meters on the target production equipment in sequence according to each data collection time of the data collection time set.

[0077] In this step, after determining the data collection time set of multiple production equipment in the current cycle, the energy metering data analysis and management device can collect the energy metering data of each meter in the N meters on the target production equipment in sequence according to each data collection time in the data collection time set, that is, the energy metering data analysis and management device can collect the energy metering data of each meter in the N meters at each data collection time in the data collection time set. It can be understood that when performing data collection, different collection devices can be selected according to different meters, such as power meters, liquid level sensors, liquid flow sensors, gas flow sensors, etc.

[0078] It should be noted that when the energy metering data analysis and management device collects energy metering data for each of the N meters, it can add timestamps and quality stamps to the collected energy metering data based on multiple data collection moments, and store the energy metering data with the timestamps and energy stamps in a distributed manner. That is, after collecting the energy metering data of each of the N meters on the target production equipment in the current cycle, a distributed memory database is used to store and manage the collected energy metering data.

[0079] 202. Format the energy metering data of each meter to obtain first energy metering data of each meter.

[0080] In this embodiment, after collecting the energy metering data of each meter in the current period, the energy metering data analysis and management device can format the energy metering data of each meter to obtain the first energy metering data of each meter. It can be understood that the formatting processing here includes but is not limited to data cleaning, missing value interpolation, and normalization processing.

[0081] 203. Determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment.

[0082] In this embodiment, the energy metering data analysis and management device can determine the target cycle corresponding to the current cycle according to the metering data comparison method of the target production equipment, wherein the metering data comparison method of the target production equipment includes but is not limited to year-on-year and quarter-on-quarter. If the metering data comparison method of the target production equipment is year-on-year, then the target cycle corresponding to the current cycle is determined to be a year-on-year cycle. For example, if the current cycle is July, then the year-on-year cycle is the same month of the previous year, or the same month of the previous two years, that is, the current cycle is compared with the same historical period, for example, July 2024 is compared with July 2023, or July 2022 is compared, and the target cycle is July 2023 or July 2022; if the metering data comparison method of the target production equipment is quarter-on-quarter, then the target cycle corresponding to the current cycle is determined to be a quarter-on-quarter cycle. If the current cycle is July, then the quarter-on-quarter cycle is June of the previous cycle.

[0083] 204. Obtain second energy metering data of each meter within a target period.

[0084] In this embodiment, after determining the target period, the energy metering data analysis and management device will distribute the corresponding data after each energy metering data collection. Therefore, the energy metering data analysis and management device can obtain the second energy metering data of each meter within the target period from the distributed storage system.

[0085] It should be noted that the first energy metering data can be determined through step 202, and the second energy metering data can be determined through steps 203 to 204. However, there is no restriction on the order of execution between steps 202 and steps 203 to 204. Step 202 can be executed first, or steps 203 to 204 can be executed first, or they can be executed simultaneously, without specific limitation.

[0086] 205. Compare the first energy metering data with the second energy metering data to obtain a comparison result corresponding to each meter, and display the comparison result corresponding to each meter.

[0087] In this embodiment, after acquiring the first energy metering data and the second energy metering data, the energy metering data analysis and management device can compare the first energy metering data with the second energy metering data to obtain the comparison result corresponding to each metering data table, and the comparison result can show the difference between the current cycle and the target cycle of each metering table, and show the comparison result corresponding to each metering table. If the comparison method is year-on-year, the comparison result is the year-on-year comparison result, and if the comparison method is month-on-month, the comparison result is the month-on-month comparison result.

[0088] When displaying the comparison results, the analysis and management device for energy metering data can also determine the display method of the comparison results corresponding to each meter, and display the comparison results based on the display method. The display method includes but is not limited to histograms, curve charts, pie charts, bubble charts and other display methods.

[0089] It should be noted that after the energy metering data analysis and management device compares the first energy metering data with the second energy metering data to obtain a comparison result, it can also determine whether the comparison result exceeds a preset threshold. If it exceeds the preset threshold, it means that the count of the meter that exceeds the preset threshold in the current cycle is in an abnormal state (for example, a fault occurs or there is waste), and an alarm can be issued to prompt the user to check.

[0090] It should be noted that the analysis and management device for energy metering data is based on the self-developed iPlat-BA screen configuration control package when displaying the comparison results. The iPlat-BA screen configuration is built by configuration rather than recoding and development, which simplifies the user's development work for the application subsystem. It can very intuitively correspond the on-site production equipment with the configuration objects in the application subsystem monitoring page, and better restore the on-site equipment energy consumption. The iPlat-BA screen configuration module provides a simple and efficient Java Script development environment, function library, script editing tools, and a development assistant to facilitate user script development; the script automatically writes the front and back segments when the mouse is pulled down to select objects and events; it provides the function of inserting variables and functions, and provides functions such as query and replacement; it provides a global function library function to facilitate the definition of commonly used functions as global functions for use in all configuration screens. The iPlat-BA screen configuration module provides various general graphics and some industry graphics, which users can use directly to facilitate development and save development workload.

[0091] In one embodiment, the energy metering data analysis and management device further performs the following operations:

[0092] Determine the first energy consumption of the target production equipment in the current cycle according to the energy metering data of each meter;

[0093] The first energy consumption situation is input into the prediction model to predict the energy consumption situation of the target production equipment in the next cycle of the current cycle.

[0094] In this embodiment, the energy metering data analysis and management device can pre-acquire the energy metering data of each meter on multiple production equipment in multiple historical periods, and determine the energy consumption situation in the corresponding historical period, and train the prediction model based on the energy consumption situation through a neural network algorithm. The prediction model is used to predict the energy consumption situation in the next period through the energy consumption situation of the production equipment in the current period, and after obtaining the energy metering data of each meter, determine the first energy consumption situation of the target production equipment in the current period according to the energy metering data of each meter, and input the first energy consumption situation into the prediction model to predict the energy consumption situation in the next period.

[0095] It should be noted that the analysis and management device for energy metering data can generate an energy consumption curve for the target production equipment in the current cycle based on the energy consumption situation in the current cycle, wherein the horizontal axis of the energy consumption curve is each data collection moment in the data collection moment set, and the vertical axis of the energy consumption curve is the energy consumption situation of the target production equipment at each data collection moment.

[0096] In summary, it can be seen that in the embodiment provided by the present invention, by collecting energy consumption data on each production equipment and analyzing and outputting the data, the energy consumption of each production equipment can be mastered, providing a direct basis for the enterprise to save energy and reduce consumption.

[0097] The above describes the embodiment of the present invention from the perspective of the analysis and management method of energy metering data. The following describes the embodiment of the present invention from the perspective of the analysis and management device of energy metering data.

[0098] See also Figure 3 , Figure 3 A virtual structural diagram of an energy metering data analysis and management device provided in an embodiment of the present invention, wherein the energy metering data analysis and management device 300 includes:

[0099] The collection module 301 is used to collect energy metering data of each meter in N meters of the target production equipment in the current cycle, wherein N is an integer greater than or equal to 1, and the target production equipment is any one of the multiple production equipment;

[0100] The formatting processing module 302 is used to format the energy metering data of each meter to obtain the first energy metering data of each meter;

[0101] A determination module 303 is used to determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment;

[0102] An acquisition module 304 is used to acquire the second energy metering data of each meter in the target period;

[0103] The comparison module 305 is used to compare the first energy metering data with the second energy metering data to obtain the comparison result corresponding to each meter, and display the comparison result corresponding to each meter.

[0104] In a possible design, the comparison module 305 is further used for:

[0105] Determine a first energy consumption condition of the target production equipment in the current cycle according to the energy metering data of each meter;

[0106] The first energy consumption condition is input into a prediction model to predict the energy consumption condition of the target production equipment in the next cycle of the current cycle.

[0107] In a possible design, the comparison module 305 is further used for:

[0108] Determine a second energy consumption condition of the target production equipment in the current cycle according to the energy metering data of each meter;

[0109] An energy consumption curve of the target production equipment in the current cycle is generated according to the second energy consumption condition.

[0110] In a possible design, the comparison module 305 is further used for:

[0111] Determine the display method of the comparison result corresponding to each meter;

[0112] Based on the display method, the comparison results corresponding to each meter are visually displayed.

[0113] In a possible design, the acquisition module 301 is specifically used for:

[0114] Determine a set of data collection moments for multiple production equipment in the current cycle;

[0115] According to each data collection time of the data collection time set, each meter on the target generation device is collected in turn to obtain the energy metering data.

[0116] In a possible design, the acquisition module 301 is further used for:

[0117] Adding a timestamp and a quality stamp to the energy metering data based on the multiple collection moments;

[0118] The energy metering data with timestamp and quality stamp added is stored in a distributed manner.

[0119] above Figure 3The energy metering data analysis and management device in the embodiment of the present invention is described from the perspective of modular functional entities. The energy metering data analysis and management device in the embodiment of the present invention is described in detail from the perspective of hardware processing. Figure 4 , a schematic diagram of an embodiment of an energy metering data analysis and management device 400 in an embodiment of the present invention, the energy metering data analysis and management device 400 includes:

[0120] An input device 401, an output device 402, a processor 403 and a memory 404 (the number of the processor 403 can be one or more, Figure 4 In some embodiments of the present invention, the input device 401, the output device 402, the processor 403 and the memory 404 may be connected via a communication bus or other means, wherein: Figure 4 The communication bus connection is taken as an example.

[0121] Wherein, by calling the operation instruction stored in the memory 404, the processor 403 is used to perform the following steps:

[0122] Collecting energy metering data of each meter in N meters of a target production device in a current cycle, wherein N is an integer greater than or equal to 1, and the target production device is any one of the multiple production devices;

[0123] Formatting the energy metering data of each meter to obtain first energy metering data of each meter;

[0124] Determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment;

[0125] Acquire the second energy metering data of each meter in the target period;

[0126] The first energy metering data is compared with the second energy metering data to obtain a comparison result corresponding to each meter, and the comparison result corresponding to each meter is displayed.

[0127] By calling the operation instructions stored in the memory 404, the processor 403 is also used to execute Figure 2 Any method in the corresponding embodiment.

[0128] See also Figure 5 , Figure 5 A schematic diagram of an electronic device according to an embodiment of the present invention.

[0129] like Figure 5As shown, an embodiment of the present invention provides an electronic device, including a memory 510, a processor 520, and a computer program 511 stored in the memory 510 and executable on the processor 520. When the processor 520 executes the computer program 511, the following steps are implemented:

[0130] Collecting energy metering data of each meter in N meters of a target production device in a current cycle, wherein N is an integer greater than or equal to 1, and the target production device is any one of the multiple production devices;

[0131] Formatting the energy metering data of each meter to obtain first energy metering data of each meter;

[0132] Determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment;

[0133] Acquire the second energy metering data of each meter in the target period;

[0134] The first energy metering data is compared with the second energy metering data to obtain a comparison result corresponding to each meter, and the comparison result corresponding to each meter is displayed.

[0135] In a specific implementation process, when the processor 520 executes the computer program 511, it can achieve Figure 2 Any implementation manner in the corresponding embodiments.

[0136] Since the electronic device introduced in this embodiment is a device used to implement an energy metering data analysis and management device in an embodiment of the present invention, based on the method introduced in the embodiment of the present invention, technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present invention will not be described in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present invention is within the scope of protection of the present invention.

[0137] See also Figure 6 , Figure 6 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention.

[0138] like Figure 6 As shown, the embodiment of the present invention further provides a computer-readable storage medium 600, on which a computer program 611 is stored. When the computer program 611 is executed by a processor, the following steps are implemented:

[0139] Collecting energy metering data of each meter in N meters of a target production device in a current cycle, wherein N is an integer greater than or equal to 1, and the target production device is any one of the multiple production devices;

[0140] Formatting the energy metering data of each meter to obtain first energy metering data of each meter;

[0141] Determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment;

[0142] Acquire the second energy metering data of each meter in the target period;

[0143] The first energy metering data is compared with the second energy metering data to obtain a comparison result corresponding to each meter, and the comparison result corresponding to each meter is displayed.

[0144] In the specific implementation process, the computer program 611 is executed by the processor to achieve Figure 2 Any implementation manner in the corresponding embodiments.

[0145] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0146] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0147] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0148] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0149] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0150] The embodiment of the present invention also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the following Figure 2 The process in the corresponding embodiment.

[0151] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0152] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0153] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There are other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0154] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0155] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0156] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0157] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for analyzing and managing energy metering data, characterized in that: include: Collecting energy metering data of each meter in N meters of a target production device in a current cycle, wherein N is an integer greater than or equal to 1, and the target production device is any one of the multiple production devices; Formatting the energy metering data of each meter to obtain first energy metering data of each meter; Determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment; Acquire the second energy metering data of each meter in the target period; The first energy metering data is compared with the second energy metering data to obtain a comparison result corresponding to each meter, and the comparison result corresponding to each meter is displayed.

2. The method according to claim 1, characterized in that The method further comprises: Determine a first energy consumption condition of the target production equipment in the current cycle according to the energy metering data of each meter; The first energy consumption condition is input into a prediction model to predict the energy consumption condition of the target production equipment in the next cycle of the current cycle.

3. The method according to claim 1, characterized in that The method further comprises: Determine a second energy consumption condition of the target production equipment in the current cycle according to the energy metering data of each meter; An energy consumption curve of the target production equipment in the current cycle is generated according to the second energy consumption condition.

4. The method according to claim 1, characterized in that: The method further comprises: Determine the display method of the comparison result corresponding to each meter; Based on the display method, the comparison results corresponding to each meter are visually displayed.

5. The method according to any one of claims 1 to 4, characterized in that The energy metering data of each meter in the N meters of the target production equipment to be collected includes: Determine a set of data collection moments for multiple production equipment in the current cycle; According to each data collection time of the data collection time set, each meter on the target generation device is collected in turn to obtain the energy metering data.

6. The method according to claim 5, characterized in that The method further comprises: Adding a timestamp and a quality stamp to the energy metering data based on the multiple collection moments; The energy metering data with timestamp and quality stamp added is stored in a distributed manner.

7. An analysis and management device for energy metering data, characterized in that: include: A collection module, used to collect energy metering data of each meter in N meters on the target production equipment in the current cycle, wherein N is an integer greater than or equal to 1, and the target production equipment is any one of the multiple production equipment; a formatting processing module, used for formatting the energy metering data of each meter to obtain the first energy metering data of each meter; A determination module, used to determine the target cycle corresponding to the current cycle according to the measurement data comparison method of the target production equipment; An acquisition module, used for acquiring the second energy metering data of each meter within the target period; The comparison module is used to compare the first energy metering data with the second energy metering data to obtain the comparison result corresponding to each meter, and display the comparison result corresponding to each meter.

8. The device according to claim 7, characterized in that The acquisition module is specifically used for: Determine a set of data collection moments for multiple production equipment in the current cycle; According to each data collection time of the data collection time set, each meter on the target generation device is collected in turn to obtain the energy metering data.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is used to implement the energy metering data analysis and management method according to any one of claims 1 to 6 when executing a computer management program stored in the memory.

10. A computer-readable storage medium having a computer management program stored thereon, characterized in that: When the computer management program is executed by a processor, the energy metering data analysis and management method according to any one of claims 1 to 6 is implemented.

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