Energy data acquisition system, method and computer equipment based on cloud platform

Abstract

The present application relates to an energy data collection system, method and computer device based on a cloud platform. The method includes: an equipment management module, which is used to perform equipment modeling and construct equipment embodiments for each metering device of the production equipment, and obtain configuration information of each equipment embodiment; the configuration information at least includes the metering device identification, equipment type and model category; a shift management module, which is used to set up shifts according to energy consumption collection tasks and obtain shift information; the shift information includes the operating time period, the team, the work shift and the shift type of each equipment embodiment; an energy management module, which is used to determine the energy data collection method of each equipment embodiment according to the energy type carried by the scheduling information and the energy management operation instruction. The use of this system can improve the accuracy and efficiency of energy data collection of production equipment.

Description

Technical Field

[0001] The present application relates to the field of data technology, and in particular to an energy data acquisition system, method, and computer device based on a cloud platform. Background Art

[0002] In the textile printing and dyeing industry, energy metering management is an important part of the company's production and operation process. The factory's daily energy consumption statistics involve water, electricity, and steam. Generally speaking, the dyeing machines, shaping machines, mercerizing machines and other equipment in the workshop are installed with various types of energy consumption meters. The manual meter reading method on site is chaotic, and the meter reading methods in different areas are inconsistent. Meter readers generally record the data once when they go to and from work according to their shifts, resulting in inaccurate and inefficient data collection. Summary of the invention

[0003] Based on this, it is necessary to provide a cloud platform-based energy data acquisition system, method, computer device and storage medium that can improve the accuracy and efficiency of data acquisition in order to address the above technical problems.

[0004] An energy data acquisition system based on a cloud platform, the system comprising:

[0005] Equipment management module, shift management module, energy management module, including:

[0006] The equipment management module is used to perform equipment modeling on each metering equipment of the production equipment and construct equipment embodiments to obtain configuration information of each equipment embodiment; the configuration information at least includes a metering equipment identifier, equipment type, and model category to which it belongs;

[0007] A shift management module, used to set shifts according to the energy consumption collection tasks and obtain shift information; the shift information includes the operating time period, the team, the work shift and the shift type of each device embodiment;

[0008] The energy management module is used to determine the energy data collection method of each of the device embodiments according to the scheduling information and the configuration information.

[0009] In one of the embodiments, the energy management module is also used to determine a target energy data collection method from each of the energy data collection methods according to the metering device identification of the target device embodiment; send the target energy data collection method to the data collection terminal, trigger the collection terminal to collect energy data based on the target energy data collection method, and obtain target energy data.

[0010] In one embodiment, the system further includes a data correction module, and the data correction module is used to correct abnormal data in the target energy data.

[0011] In one of the embodiments, the system further includes a data conversion module, and the data conversion module is used to perform data conversion according to a set multiplier of each target energy data to obtain a corresponding target energy consumption value.

[0012] In one of the embodiments, the system further includes a data entry module, and the data entry module is used to enter the target energy consumption value and the associated configuration information and scheduling information into the terminal in a preset entry manner according to a set entry cycle.

[0013] In one of the embodiments, the system further includes a visualization display module, and the visualization display module is used to visualize the target energy consumption value and the associated configuration information and scheduling information in a set manner.

[0014] A cloud platform-based energy data collection method, the method comprising:

[0015] Modeling each metering device of the production equipment and constructing a device embodiment to obtain configuration information of each device embodiment; the configuration information at least includes a metering device identifier, a device type, and a model category to which it belongs;

[0016] Scheduling is performed according to the energy consumption collection task to obtain scheduling information; the scheduling information includes the operating time period, the team, the work shift and the shift type of each of the production equipment;

[0017] The energy data collection method of each of the device embodiments is determined according to the scheduling information and the configuration information.

[0018] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0019] Modeling each metering device of the production equipment and constructing a device embodiment to obtain configuration information of each device embodiment; the configuration information at least includes a metering device identifier, a device type, and a model category to which it belongs;

[0020] Scheduling is performed according to the energy consumption collection task to obtain scheduling information; the scheduling information includes the operating time period, the team, the work shift and the shift type of each of the production equipment;

[0021] The energy data collection method of each of the device embodiments is determined according to the scheduling information and the configuration information.

[0022] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0023] Modeling each metering device of the production equipment and constructing a device embodiment to obtain configuration information of each device embodiment; the configuration information at least includes a metering device identifier, a device type, and a model category to which it belongs;

[0024] Scheduling is performed according to the energy consumption collection task to obtain scheduling information; the scheduling information includes the operating time period, the team, the work shift and the shift type of each of the production equipment;

[0025] The energy data collection method of each of the device embodiments is determined according to the scheduling information and the configuration information.

[0026] The above-mentioned cloud platform-based energy data collection system, method, computer device and storage medium perform equipment modeling and construct equipment embodiments for each metering device of the production equipment, and determine the operation time period, team, work shift and shift type and other scheduling information of the equipment embodiment according to the production task and the configuration information of each equipment embodiment; based on the scheduling information and the energy type carried by the energy management operation instruction, determine the energy data collection method of each equipment embodiment, that is, for different equipment embodiments, the corresponding energy data collection method can be determined, avoiding the problem of confusion in manual transcription of meters of different energy consumption types at the factory site, thereby improving the accuracy and efficiency of data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a structural block diagram of an energy data acquisition system based on a cloud platform in one embodiment;

[0028] Figure 2 A schematic diagram of an interface for modeling a metering device in one embodiment;

[0029] Figure 3 A schematic diagram of an interface of a meter model in one embodiment;

[0030] Figure 4 A schematic diagram of a shift editing interface of a meter embodiment in one embodiment;

[0031] Figure 5 It is a structural block diagram of an energy data acquisition system based on a cloud platform in another embodiment;

[0032] Figure 6 A schematic diagram of an energy data entry interface in an embodiment;

[0033] Figure 7 A schematic diagram of an energy data entry interface of a mobile terminal in one embodiment;

[0034] Figure 8is an application environment diagram of a cloud platform-based energy data collection method in one embodiment;

[0035] Fig. 9 A schematic diagram of a process of an energy data collection method based on a cloud platform in an embodiment;

[0036] Fig.10 It is a flowchart of a cloud platform-based energy data collection method in another embodiment;

[0037] Fig.11 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0039] The energy data collection system based on the cloud platform provided in this application is Figure 1 As shown, the energy data acquisition system includes an equipment management module, a shift management module and an energy management module, wherein:

[0040] The equipment management module is used to perform equipment modeling and construct equipment embodiments for each metering equipment of the production equipment to obtain configuration information of each equipment embodiment; the configuration information at least includes the metering equipment identification, equipment type and model category.

[0041] Among them, the production equipment can be but is not limited to dyeing and finishing equipment. In this embodiment, the production equipment is dyeing and finishing equipment as an example for explanation. Each dyeing and finishing equipment can be equipped with a metering device. The metering device can be different types of meters, including electricity meters, water meters, and steam meters, etc., or multiple dyeing and finishing equipment can share one metering device, that is, it is set in the common pipeline of multiple dyeing and finishing equipment for unified metering; the metering device is used to collect the energy consumption of the dyeing and finishing equipment during the production process. The dyeing and finishing equipment includes dyeing and finishing machines, setting machines, mercerizing machines, opening machines, etc.; the dyeing and finishing equipment communicates with the controller, and the function of the controller is to automatically control the dyeing machine or setting machine to run according to instructions according to the pre-set process flow.

[0042] Equipment modeling refers to modeling the metering equipment on the dyeing and finishing equipment to obtain the corresponding model. Each model has a corresponding model; Figure 2 As shown in FIG. 1 , a schematic diagram of an interface for modeling a metering device in an embodiment is shown. By clicking a new trigger button on the interface, device modeling is performed, a model name is input, and a corresponding module is selected for configuration, such as Figure 3As shown, the meter model is created on the interface to obtain the created meter model, that is, the equipment configuration is performed, including the equipment name (such as dyeing machine 1#-electricity meter), equipment type (such as manual meter), equipment group (such as level 1 equipment), regional location (such as plant A), whether it can be monitored, model (such as manual meter), collection equipment (such as dyeing machine 1#), and relevant descriptions can be added.

[0043] The device embodiment is created according to the embodiment information carried by the device embodiment creation instruction, and the embodiment information includes at least the device identification, device type, and the device group to which the device belongs, the regional location of the device in the production plant, and any one of the models to which it belongs; optionally, when the device embodiment is a meter instance, the device is a meter, and the meter is created according to the meter identification, device type, and the device group to which the device belongs, the location area of ​​the meter in the production plant, and the model to which it belongs carried by the device embodiment creation instruction. For example, enter the meter name "No. 1 Dyeing Machine Electric Meter", the device type is "Handwritten Meter", select the device group "Level 1 Equipment", select the regional location, monitorable as "Disabled", the model to which it belongs is "Manual Meter", and the acquisition device does not need to be filled in, and click "OK".

[0044] That is to say, the device management module includes device modeling and device archives. When a new device instance needs to be added, if the device instance model does not exist in the device archive, the device implementation example is created.

[0045] The shift management module is used to set the shift according to the energy consumption collection task and obtain the shift information; the shift information includes the operating time period, the team, the work shift and the shift type of each device embodiment.

[0046] Among them, when scheduling production equipment, it can be but not limited to scheduling according to production tasks, and it also includes the need to increase scheduling due to temporarily increased production tasks; production tasks refer to those determined according to the actual production capacity requirements, and different production equipment is arranged to perform production operations in different time periods. Different time periods (i.e., shift types, for example, morning shift, middle shift and evening shift) have corresponding start times and end times, and each shift has a corresponding shift identifier (i.e., class name); for example, the working time periods corresponding to the production equipment include morning shift A (e.g., 8 a.m. - 12 noon), middle shift B (e.g., 12 noon - 18 p.m.) and evening shift C (e.g., 18 p.m. - 21 p.m.), etc.; scheduling is performed according to the energy consumption collection task, the obtained scheduling information is associated with the meter embodiment for collecting dyeing and finishing energy consumption, and the meter embodiment is triggered to work through a trigger instruction to obtain energy data of the equipment embodiment in different time periods.

[0047] The scheduling information includes the operating time period of each device embodiment, the team to which it belongs (for example, Shift A, Shift B, etc.), the work shift, and the shift type (for example, energy consumption, fixed type, etc.).

[0048] Optionally, when the current time period cannot meet the actual production demand or energy consumption analysis, the shift of the meter embodiment can be established according to the shift identifier (i.e., class name), shift type, start time and end time carried by the shift addition instruction, such as Figure 4 shown.

[0049] Specifically, the basic setting module determines the operating time period, the team, the work shift and the shift type of the equipment embodiment according to the production task and the configuration information of each equipment embodiment. The equipment embodiment collects the energy consumption of the production equipment according to the determined scheduling information to obtain energy consumption data. There is a correlation between the energy consumption data and the corresponding operating time period, team, work shift and shift type.

[0050] Optionally, in one embodiment, the shift management module can pre-set the shift calendar and update the shift calendar according to actual needs; for example, this Saturday is for equipment maintenance, the shift calendar can be updated to update the shift status of this Saturday to equipment maintenance or vacation, etc.

[0051] That is to say, the shift management module includes user management, team management, shift management, work calendar and shift management, wherein the user management module is used for the operation authority of the operator of the energy data acquisition system.

[0052] The energy management module is used to determine the energy data collection method of each device embodiment according to the scheduling information and the energy type carried by the energy management operation instruction.

[0053] Among them, energy types include water, tap water, natural gas, steam, etc. Different equipment embodiments are used to collect different energy consumption data of production equipment. For example, the water meter of the 1# shaping machine is a hand-copied meter, which is used to collect the amount of water consumed by the production equipment when processing cotton cloth and the amount of water recovered when processing cotton cloth. Different energy types have different energy units, which will not be described here.

[0054] The energy data collection methods include at least one of reading only the start reading, reading only the end reading, reading both the start and end readings, and free recording. Different collection methods are applied differently. Reading only the start reading is applied when the meter reader reads the meter once every day when he goes to work, reading only the end reading is applied when the meter reader reads the meter once every day when he gets off work, and reading both the start and end readings is applied when the equipment is not started frequently, and only starts irregularly during the peak season, and the meter is read once when it starts and once when it goes off. The energy data of the production equipment can be collected according to the determined energy data collection method.

[0055] Optionally, in one embodiment, the energy management module is further used to determine a target energy data collection method from various energy data collection methods according to an energy collection instruction carrying a metering device identifier of a target device embodiment; send the target energy data collection method to a data collection terminal, trigger the collection terminal to collect energy data based on the target energy data collection method, and obtain target energy data. Furthermore, the energy management module can collect energy data in groups.

[0056] In the above-mentioned cloud platform-based energy data collection system, by modeling the various metering devices of the production equipment and constructing equipment embodiments, and determining the operating time period, team, work shift, shift type and other scheduling information of the equipment embodiments according to the production tasks; based on the scheduling information and the energy type carried by the energy management operation instructions, the energy data collection method of each equipment embodiment is determined, that is, for different equipment embodiments, the corresponding energy data collection method can be determined, avoiding the problem of confusion in manual transcription of meters of different energy consumption types at the factory site, thereby improving the accuracy and efficiency of data collection.

[0057] In another embodiment, a cloud platform-based energy data acquisition system is provided. Figure 5 As shown, the energy data acquisition system includes not only the equipment management module, the shift management module and the energy management module, but also a data conversion module, a data entry module and a visual display module, wherein the data conversion module and the data entry module are submodules of the energy management module, wherein:

[0058] The data conversion module is used to perform data conversion according to the set multiplier of each target energy data to obtain the corresponding target energy consumption value.

[0059] Among them, the setting multipliers of different types of energy data are different; the energy consumption of many large equipment far exceeds the upper limit of the meter, and there will be a multiplier on the meter. Different meters will have different multipliers, which means that the meter reading needs to be multiplied by the corresponding multiplier when calculating the actual energy consumption value. For example: the meter shows 100 / 5 (that is, 20 times), and every 1kw·h is equal to 20kw·h; determine the accuracy of the energy data.

[0060] The data entry module is used to enter the target energy consumption value and the associated configuration information and scheduling information into the server in a preset entry method according to the set entry cycle.

[0061] The data entry module first determines the equipment implementation object to be entered (e.g., meter), and enters the energy data of the equipment implementation object within the set time period (e.g., the shift, morning shift 8:00-20:00) and the team to which it belongs. Figure 6The figure shows a schematic diagram of the energy data entry interface of the 1# fixed-type electromechanical meter in one embodiment, including the meter name, statistical date, team and shift, and the start and end readings. The start reading can be corrected according to the manual correction instruction. Data entry can be performed by entering the data collected by the meter through the mobile terminal and uploading the obtained data to the server. For example, Figure 7 As shown, open the corresponding applet on the mobile terminal, click Workbench->Energy Meter Reading->Meter Reading Entry Menu, enter the end reading (depending on the preset meter reading method), the starting reading can be manually corrected, and click "Save". The preset entry method includes batch entry of different types of equipment instances.

[0062] The visualization display module is used to visualize the target energy consumption value and the associated configuration information and scheduling information in a set manner.

[0063] The setting method includes but is not limited to displaying the target energy consumption value on the data dashboard in the form of a bar chart or a pie chart.

[0064] Specifically, after the equipment management module performs equipment modeling and constructs equipment embodiments for each metering device of the production equipment, and obtains each equipment embodiment including at least the metering device identification, the equipment type and the configuration information of the model category to which it belongs, the shift management module is used to determine the scheduling information of the equipment embodiment according to the production task and the configuration information of each equipment embodiment; the scheduling information includes the operating time period, the team, the work shift and the shift type of each equipment embodiment; the energy management module determines the energy data collection method of each equipment embodiment according to the scheduling information and the energy type carried by the energy management operation instruction; according to the energy collection instruction carrying the metering device identification of the target equipment embodiment, the target energy data is determined from each energy data collection method. The target energy data collection method is used; the target energy data collection method is sent to the data collection terminal, and the collection terminal is triggered to collect energy data based on the target energy data collection method to obtain the target energy data; when the collected target energy data is abnormal, the abnormal data in the target energy data is corrected by the data correction module; the data conversion module is used to convert the data according to the set multiples of each target energy data to obtain the corresponding target energy consumption value; and the target energy consumption value and the related configuration information and scheduling information are entered into the terminal in a preset entry method according to the set entry cycle through the data entry module; and the target energy consumption value and the related configuration information and scheduling information are visually displayed in a set manner through the visual display module.

[0065] The above-mentioned cloud platform-based energy data collection system performs equipment modeling and constructs equipment embodiments for each metering device of the production equipment, and determines the operation time period, team, work shift, and shift type of the equipment embodiment according to the production task and the configuration information of each equipment embodiment; determines the energy data collection method of each equipment embodiment based on the scheduling information and the energy type carried by the energy management operation instruction, and performs data conversion on the collected energy data to obtain the target energy consumption value, and enters the obtained target energy consumption value into the server and displays the energy consumption value visually; the corresponding energy data collection method can be determined to avoid the problem of manual transcription confusion for meters of different energy consumption types at the factory site, thereby improving the accuracy and efficiency of data collection, and the operation status of the production equipment can be obtained by visually displaying the energy consumption value.

[0066] Each module in the above-mentioned cloud-based energy data acquisition system can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0067] Each module in the system can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0068] The energy data collection method based on the cloud platform provided in this application can be applied to Figure 8In the application environment shown. Among them, the application environment includes production equipment, namely dyeing and finishing equipment 4000 and meter 4001 of production equipment, a first client (such as client 3000) and a second client (such as client 2000, i.e. PC client), a cloud platform and a server 1000. The production equipment includes dyeing machines, setting machines, mercerizing machines, opening machines, etc.; the production equipment communicates with the controller, and the controller is used to automatically control the dyeing machine or setting machine to run according to instructions according to the pre-set process flow. Meters are set in each production equipment, including electricity meters, water meters and steam meters; or they are set in the common pipelines of multiple devices for unified measurement. Mobile clients are mobile terminals such as mobile phones and tablets, with built-in transcription applications, APPs or mini-programs. PC clients are computers that use Web applications. The mobile client includes a processor 2100, a memory 2200, an interface device 2300, a communication device 2400, a display device 2500, an input device 2600, an output device 2700, and a camera device 2800; the PC client includes a processor 3100, a memory 3200, an interface device 3300, a communication device 3400, a display device 3500, an input device 3600, an output device 3700, and a camera device 3800.

[0069] Among them, the processor can be a central processing unit CPU, a microprocessor MCU, etc. The memory includes, for example, ROM (read-only memory), RAM (random access memory), non-volatile memory such as a hard disk, etc. The interface device includes, for example, a USB interface, a headphone interface, a serial port, etc. The communication device can, for example, perform wired or wireless communication. The display device is, for example, a liquid crystal display, a touch display, etc. The input device can, for example, include a touch screen, a keyboard, or a microphone, etc. The output device is used to output information, for example, it can be a speaker, which is used to output voice information to the user. The camera device is used to capture and obtain information, for example, a camera, etc., which can be used to collect the operation status of the production equipment.

[0070] The service end provides a business point for processing, database, and communication facilities. The service end can be a monolithic server or a distributed server across multiple computers or computer data centers. The server can be of various types, such as but not limited to, a web server, a news server, a mail server, a message server, an advertising server, a file server, an application server, an interactive server, a database server, or a proxy server. In some embodiments, each server may include hardware, software, or an embedded logic component or a combination of two or more such components for executing appropriate functions supported or implemented by the server. For example, a server such as a blade server, a cloud server, etc., or a server group consisting of multiple servers, which may include one or more of the above-mentioned types of servers, etc.

[0071] The server 1000 may include a processor 1100 , a memory 1200 , an interface device 1300 , a communication device 1400 , a display device 1500 , and an input device 1600 .

[0072] Among them, in the energy data collection system based on the cloud platform, each metering device of the production equipment is modeled and an equipment embodiment is constructed to obtain the configuration information of each of the equipment embodiments; the configuration information at least includes the metering device identification, the equipment type and the model category to which it belongs; the scheduling information of each of the production equipment is set according to the production task and the configuration information of each of the equipment embodiments; the scheduling information includes the operating time period, the team, the work shift and the shift type of each of the production equipment; the energy data collection method of each of the equipment embodiments is determined according to the scheduling information and the energy type carried by the energy management operation instruction; the collected energy data is transcribed by the first client and the second client, and uploaded to the server.

[0073] In one embodiment, Fig. 9 As shown in the figure, a cloud platform-based energy data collection method is provided, which is applied to Figure 1 The cloud platform in is used as an example to illustrate the process, including the following steps:

[0074] Step 902, perform equipment modeling on each metering equipment of the production equipment and construct equipment embodiments to obtain configuration information of each equipment embodiment; the configuration information at least includes a metering equipment identifier, equipment type, and model category.

[0075] Step 904: Schedule the shifts according to the energy consumption collection task to obtain the schedule information; the schedule information includes the operation time period, the team, the work shift and the shift type of each production equipment. Step 906: Determine the energy data collection method of each device embodiment according to the schedule information and the energy type carried by the energy management operation instruction.

[0076] The above-mentioned cloud platform-based energy data collection method performs equipment modeling and constructs equipment embodiments for each metering device of the production equipment, and determines the operation time period, team, work shift, and shift type of the equipment embodiment according to the production task and the configuration information of each equipment embodiment; based on the scheduling information and the energy type carried by the energy management operation instruction, the energy data collection method of each equipment embodiment is determined, that is, for different equipment embodiments, the corresponding energy data collection method can be determined, avoiding the problem of confusion in manual transcription of meters of different energy consumption types at the factory site, thereby improving the accuracy and efficiency of data collection.

[0077] In another embodiment, Fig.10As shown in the figure, a cloud platform-based energy data collection method is provided, which is applied to Figure 1 The cloud platform in is used as an example to illustrate the process, including the following steps:

[0078] Step 1002 , perform equipment modeling on each metering device of the production equipment and construct equipment embodiments to obtain configuration information of each equipment embodiment.

[0079] The configuration information includes at least the metering device identification, device type and model category.

[0080] Step 1004, schedule setting is performed according to the energy consumption collection task to obtain schedule information; the schedule information includes the operating time period of each production equipment, the team to which it belongs, the work shift and the shift type.

[0081] Step 1006, determining the energy data collection method of each device embodiment according to the scheduling information and the energy type carried by the energy management operation instruction.

[0082] Step 1008: respond to the energy collection instruction, where the energy collection instruction carries the metering device identifier of the target device embodiment.

[0083] Step 1010: Determine a target energy data collection method from various energy data collection methods according to the metering device identifier.

[0084] Step 1012: Send the target energy data collection method to the data collection terminal, triggering the collection terminal to collect energy data based on the target energy data collection method to obtain target energy data.

[0085] Optionally, in one embodiment, when abnormal data is detected in the target energy data, the collected energy data is corrected.

[0086] The abnormal data may be repeatedly collected data, special symbols, etc.; data correction may include but is not limited to filtering the collected data.

[0087] Optionally, in one embodiment, data conversion is performed according to a set multiplier of each target energy data to obtain a corresponding target energy consumption value.

[0088] Optionally, in one embodiment, the target energy consumption value and the associated configuration information and scheduling information are entered into the terminal in a preset entry manner according to a set entry cycle.

[0089] Optionally, in one embodiment, the target energy consumption value and the associated configuration information and scheduling information are visualized in a set manner.

[0090] The above-mentioned cloud platform-based energy data collection system performs equipment modeling and constructs equipment embodiments for each metering device of the production equipment, and determines the operation time period, team, work shift, and shift type of the equipment embodiment according to the production task and the configuration information of each equipment embodiment; determines the energy data collection method of each equipment embodiment based on the scheduling information and the energy type carried by the energy management operation instruction, and performs data conversion on the collected energy data to obtain the target energy consumption value, and enters the obtained target energy consumption value into the server and displays the energy consumption value visually; the corresponding energy data collection method can be determined to avoid the problem of manual transcription confusion for meters of different energy consumption types at the factory site, thereby improving the accuracy and efficiency of data collection, and the operation status of the production equipment can be obtained by visually displaying the energy consumption value.

[0091] It should be understood that although Figure 9-10 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 9-10 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0092] For the specific limitations on the cloud platform-based energy data collection method, please refer to the above limitations on the cloud platform-based energy data collection system, which will not be repeated here.

[0093] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Fig.11As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a cloud platform-based energy data acquisition method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0094] Those skilled in the art will understand that Fig.11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0095] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0096] Modeling each metering device of the production equipment and constructing a device embodiment to obtain configuration information of each device embodiment; the configuration information at least includes a metering device identifier, a device type, and a model category to which it belongs;

[0097] According to the energy consumption collection task, the shift schedule is set to obtain the shift schedule information; the shift schedule information includes the operating time period of each production equipment, the team to which it belongs, the work shift and the shift type;

[0098] The energy data collection method of each device embodiment is determined according to the energy type carried by the scheduling information and the energy management operation instruction.

[0099] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0100] Responding to an energy collection instruction, the energy collection instruction carrying a metering device identifier of an embodiment of a target device;

[0101] According to the metering equipment identification, determine the target energy data collection method from various energy data collection methods;

[0102] The target energy data collection method is sent to the data collection terminal, which triggers the collection terminal to collect energy data based on the target energy data collection method to obtain the target energy data.

[0103] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0104] When abnormal data is detected in the target energy data, the collected energy data is corrected.

[0105] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0106] According to the set multiplier of each target energy data, data conversion is performed to obtain the corresponding target energy consumption value.

[0107] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0108] According to the set entry cycle, the target energy consumption value and the associated configuration information and scheduling information are entered into the terminal in a preset entry method.

[0109] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0110] The target energy consumption value and the associated configuration information and scheduling information are visualized in a set manner.

[0111] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0112] Modeling each metering device of the production equipment and constructing a device embodiment to obtain configuration information of each device embodiment; the configuration information at least includes a metering device identifier, a device type, and a model category to which it belongs;

[0113] According to the energy consumption collection task, the shift schedule is set to obtain the shift schedule information; the shift schedule information includes the operating time period of each production equipment, the team to which it belongs, the work shift and the shift type;

[0114] The energy data collection method of each device embodiment is determined according to the energy type carried by the scheduling information and the energy management operation instruction.

[0115] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0116] Responding to an energy collection instruction, the energy collection instruction carrying a metering device identifier of an embodiment of a target device;

[0117] According to the metering equipment identification, determine the target energy data collection method from various energy data collection methods;

[0118] The target energy data collection method is sent to the data collection terminal, which triggers the collection terminal to collect energy data based on the target energy data collection method to obtain the target energy data.

[0119] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0120] When abnormal data is detected in the target energy data, the collected energy data is corrected.

[0121] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0122] According to the set multiplier of each target energy data, data conversion is performed to obtain the corresponding target energy consumption value.

[0123] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0124] According to the set entry cycle, the target energy consumption value and the associated configuration information and scheduling information are entered into the terminal in a preset entry method.

[0125] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0126] The target energy consumption value and the associated configuration information and scheduling information are visualized in a set manner.

[0127] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0128] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0129] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. An energy data acquisition system based on a cloud platform, characterized in that: The energy data acquisition system includes an equipment management module, a shift management module, and an energy management module, wherein: The equipment management module is used to perform equipment modeling on each metering equipment of the production equipment and construct equipment embodiments to obtain configuration information of each equipment embodiment; the configuration information at least includes a metering equipment identifier, equipment type, and model category to which it belongs; A shift management module is used to set shifts according to energy consumption collection tasks and obtain shift information; the shift information includes operating time period, team, work shift and shift type; An energy management module is used to determine the energy data collection mode of each of the device embodiments according to the scheduling information and the configuration information, wherein the energy data collection mode includes only copying the starting reading, only copying the ending reading, copying both the starting and ending readings, and free copying; and according to the metering device identification of the target device embodiment, determine the target energy data collection mode from each of the energy data collection modes, send the target energy data collection mode to the data collection terminal, trigger the collection terminal to collect energy data based on the target energy data collection mode, and obtain the target energy data.

2. The system according to claim 1, characterized in that The system further comprises a data correction module, and the data correction module is used to correct abnormal data in the target energy data.

3. The system according to claim 1, characterized in that The system also includes a data conversion module, which is used to perform data conversion according to the set multiplier of each target energy data to obtain a corresponding target energy consumption value.

4. The system according to claim 3, characterized in that The system also includes a data entry module, which is used to enter the target energy consumption value and the associated configuration information and scheduling information into the terminal in a preset entry manner according to a set entry cycle.

5. The system according to claim 4, characterized in that The system also includes a visualization display module, which is used to visualize the target energy consumption value and the associated configuration information and scheduling information in a set manner.

6. The system according to claim 5, characterized in that The visual display module is also used to display the target energy consumption value on the data dashboard in the form of a bar chart or a sector chart.

7. A cloud platform-based energy data collection method, characterized in that: The method comprises: Modeling each metering device of the production equipment and constructing a device embodiment to obtain configuration information of each device embodiment; the configuration information at least includes a metering device identifier, a device type, and a model category to which it belongs; Scheduling is performed according to the energy consumption collection task to obtain scheduling information; the scheduling information includes the operating time period, the team, the work shift and the shift type of each of the production equipment; According to the scheduling information and the configuration information, the energy data collection mode of each of the device embodiments is determined, wherein the energy data collection mode includes only copying the starting reading, only copying the ending reading, copying both the starting and ending readings, and free copying; and in response to an energy collection instruction, the energy collection instruction carries the metering device identification of the target device embodiment, and according to the metering device identification, a target energy data collection mode is determined from each of the energy data collection modes, and the target energy data collection mode is sent to a data collection terminal, triggering the collection terminal to collect energy data based on the target energy data collection mode to obtain target energy data.

8. The method according to claim 7, characterized in that The method further comprises: According to the set multiplier of each target energy data, data conversion is performed to obtain the corresponding target energy consumption value.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 7 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 7 to 8 are implemented.

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