Enterprise energy online monitoring system and method based on mobile terminal

Abstract

The invention relates to an enterprise energy online monitoring system and method based on a mobile terminal, and the system comprises a field layer which comprises an intelligent instrument with a communication transmission function and is used for collecting the energy data of the instrument; the acquisition layer is used for transmitting instrument energy data of the intelligent instrument of the field layer to communication equipment; the Internet of Things layer is used for encrypting and cleaning the data acquired by the acquisition layer; the storage layer is used for storing the data processed by the Internet of Things layer in a database mode; and the business layer is used for carrying out energy consumption management and alarm on instrument energy data of the intelligent instrument by modeling the intelligent instrument, and realizing visualization. According to the invention, the operation condition and energy consumption condition of enterprise energy equipment can be checked anytime and anywhere by using the mobile terminal equipment, and meanwhile, the system has a high-timeliness alarm function, so that energy waste can be reduced and hidden dangers that abnormal operation of the equipment cannot be found in time can be reduced. User enterprises are assisted to establish a complete energy management system, informatization, digitization and intelligentization of energy management and control are realized, the comprehensive energy utilization rate of factories is improved, the energy consumption cost is reduced, and energy conservation and carbon reduction are realized.

Description

Technical Field

[0001] This invention belongs to the field of energy management and control, and specifically relates to a mobile-based online energy monitoring system and method for enterprises. Background Technology

[0002] With increasing global energy demand and growing emphasis on environmental protection, the construction of online energy monitoring systems plays an increasingly important role in energy optimization, energy conservation, and emission reduction. Existing energy system software typically suffers from the following shortcomings: First, energy allocation and scheduling lack intelligence and cannot respond to load changes in real time; second, it lacks comprehensive management capabilities for multiple energy forms, resulting in low energy utilization efficiency; and third, the user interface is not user-friendly, and data analysis and display are insufficient.

[0003] Meanwhile, with the widespread adoption of smart mobile devices and the development of IoT technology, energy management and monitoring using mobile devices has become possible. Most existing energy monitoring systems rely on fixed computing platforms, making it difficult to achieve energy consumption monitoring and management anytime, anywhere, and failing to meet modern users' demands for flexibility and real-time performance. Summary of the Invention

[0004] This invention provides a mobile-based online energy monitoring system and method for enterprises, capable of real-time data collection, monitoring, analysis, and alarm alerts for various energy sources (such as electricity, water, gas, and steam) within a factory. The system provides multi-dimensional energy data display and analysis through a mobile application and an intuitive user interface. Users can view energy consumption, analyze historical data, and adjust energy usage strategies based on the monitoring results anytime, anywhere. Simultaneously, the alarm function effectively reduces the risks of energy waste and equipment failure.

[0005] This invention adopts the following technical solution: a mobile-based enterprise energy online monitoring system, comprising:

[0006] The field layer includes intelligent meters with communication transmission capabilities, used to collect meter energy data;

[0007] The acquisition layer is used to transmit the energy data of the field-level smart meters to the communication equipment;

[0008] The IoT layer is used to encrypt and clean the data acquired by the acquisition layer.

[0009] The storage layer is used to store the data processed by the IoT layer in a database format.

[0010] The business layer is used to model smart meters, manage their energy consumption and trigger alarms, and visualize their energy data.

[0011] The storage layer includes:

[0012] A time-series database is used to store the energy data collected by smart meters;

[0013] A real-time database is used to cache the online status of smart meters;

[0014] A relational database is used to store information from smart meters and energy prices.

[0015] The business layer includes:

[0016] The energy modeling module is used to build models based on smart meters to characterize the types of smart meters, metering information, and energy management.

[0017] The page display module is used to visualize the usage, energy consumption, and energy usage of smart meters by calling data from the database in the storage layer.

[0018] The energy alarm module is used to monitor the online rate and energy consumption of smart meters and to issue energy alarms.

[0019] The energy modeling module includes:

[0020] The basic model is used to characterize energy categories, and its attributes include energy type, energy collection label, and label unit.

[0021] The measurement model is used to characterize smart meter information, and its attributes include measurement device type, measurement device code, measurement depth, and measurement unit.

[0022] The business model is used for energy statistics and analysis. Based on different energy types, meter energy data, and energy price information, it can be customized according to different needs to realize the business functions of energy planning management and energy cost management.

[0023] The page display module includes a user login interface and an energy portal interface; the energy portal interface includes:

[0024] The cloud-based details module for smart meters is used to visualize the online status of smart meters in the real-time database and the information of smart meters in the relational database in the form of charts, so as to show the online rate and number of smart meters of different energy types.

[0025] The Energy Consumption Details module is used to visualize energy purchases, consumption, and sales across multiple time dimensions and energy types by calling meter energy data from the time-series database and energy price information from the relational database and using visualization components.

[0026] The energy consumption ranking module is used to visualize energy data from meters in the time series database and metering information from the relational database in the form of charts to show the energy consumption and ranking of different metering levels. It also supports obtaining energy consumption data by time period or metering level by clicking on data items in the bar chart.

[0027] The energy consumption benchmarking module is used to visualize the energy data of the meter in the time series database using a line chart to show the year-on-year and month-on-month benchmarking of energy consumption within a specified metering range.

[0028] The energy alarm function module includes:

[0029] The instrument online rate alarm module is used to obtain the online status of smart meters from the real-time database when the online rate changes or reaches the trigger timer cycle, calculate the current online rate of smart meters of each energy type, and obtain the online rate alarm threshold set by the user from the business database, and compare the online rate with the alarm threshold; when the online rate is lower than the alarm threshold, an alarm message is generated and sent to the designated user in the form of WeChat push or SMS.

[0030] The energy tag value exceeding alarm module is used to monitor the value of a specified tag on a smart meter; when the value of the specified tag changes or reaches the trigger timer cycle, it obtains the actual value of the specified tag and the alarm threshold; when the actual value is higher than the upper threshold or lower than the lower threshold, it generates an alarm message and sends it to the specified user via WeChat push or SMS.

[0031] The daily energy consumption exceeding the limit alarm module is used to monitor the energy consumption of smart meters the previous day. When the energy consumption exceeds the consumption threshold, an alarm message is generated and sent to the designated user via WeChat push or SMS.

[0032] A mobile-based online energy monitoring method for enterprises includes the following steps:

[0033] Field-level instrument energy data collection;

[0034] The data acquisition layer transmits the energy data of the field-level smart meters to the communication equipment;

[0035] The IoT layer encrypts and cleans the data acquired by the acquisition layer;

[0036] The storage layer stores the data processed by the IoT layer using a database.

[0037] The business layer models the smart meters to manage their energy consumption and trigger alarms, and then visualizes the data.

[0038] The business layer models smart meters, manages their energy consumption data and issues alarms, and visualizes the data. This includes the following steps:

[0039] The energy modeling module builds models based on smart meters to characterize the types of smart meters, metering information, and energy management.

[0040] The page display module uses data from the database in the storage layer to visually display the usage, energy consumption, and energy usage of smart meters.

[0041] The energy alarm module monitors the online rate and energy consumption of smart meters and issues energy alarms.

[0042] The page display module uses data from the database in the storage layer to visually display the usage, energy consumption, and energy usage of smart meters, including the following steps:

[0043] The cloud-based smart meter details module visualizes the online status of smart meters in the real-time database and the smart meter information in the relational database in the form of charts, so as to show the online rate and number of smart meters of different energy types.

[0044] The energy consumption details module uses a visualization component to display the energy purchase, consumption, and sales volume of energy across multiple time dimensions and energy types by calling the meter energy data in the time series database and the energy price information in the relational database.

[0045] The energy consumption ranking module visualizes energy data from the time-series database and metering information from the relational database in the form of charts to show the energy consumption and ranking at different metering levels. It also supports obtaining energy consumption data by time period or metering level by clicking on data items in the bar chart.

[0046] Energy consumption benchmarking uses meter energy data from a time-series database and visualizes it in the form of a line chart to show the year-on-year and month-on-month benchmarking of energy consumption within a specified metering range.

[0047] A computer-readable storage medium is characterized in that a computer program is stored on the storage medium, and when the computer program is executed by a processor, it implements the aforementioned mobile terminal-based enterprise energy online monitoring method.

[0048] The beneficial effects and advantages of this invention are as follows:

[0049] 1. This invention is a mobile-based online energy monitoring system and method for enterprises. By using mobile devices, users can view the operational status and energy consumption of enterprise energy equipment anytime, anywhere. It also features a highly timely alarm function to reduce energy waste and the potential for undetected equipment malfunctions. This assists user enterprises in establishing a complete energy management system, achieving informatization, digitalization, and intelligentization of energy control, improving the overall energy utilization rate of the factory, reducing energy costs, and realizing energy conservation and carbon reduction.

[0050] 2. This invention utilizes Internet of Things (IoT) technology to collect, manage, and service data from various existing energy meters (water meters, electricity meters, steam meters, gas meters, and other industrial energy meters) in a factory. This enables interconnection and unified management of various meters within the factory, possessing significant practical value. It can directly improve the economic benefits for enterprises, and more importantly, enhance their overall energy efficiency and refined management levels. This allows enterprises to generate more industrial added value with lower energy consumption growth, achieving the comprehensive goals of increased economic efficiency, guaranteed product quality, enhanced competitiveness, and energy conservation and emission reduction. Attached Figure Description

[0051] Figure 1 This is an overall architecture diagram of the enterprise energy online monitoring system and method provided by the present invention;

[0052] Figure 2 The cloud-based instrument architecture diagram of the enterprise energy online monitoring system and method provided by this invention;

[0053] Figure 3 This is a schematic block diagram showing the mobile terminal interface of the enterprise energy online monitoring system and method provided by the present invention;

[0054] Figure 4 The flowchart of the instrument online rate alarm for the enterprise energy online monitoring system and method provided by the present invention is shown. Detailed Implementation

[0055] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0056] A mobile-based enterprise energy online monitoring system and method includes: an IoT access component: This component uses devices such as switches, serial servers, NB-IoT modules, Bluetooth, and infrared modules to network and convert data from smart meters, data acquisition devices, and third-party underlying acquisition systems. Data acquisition is achieved through various types of wired or wireless gateways supporting centralized or distributed deployment. The data then undergoes edge processing and cleaning, followed by signing and encrypting valid data before securely and reliably transmitting it to the cloud platform. An energy modeling component: This component provides flexible, integrated, and visualized energy foundation modeling, energy metering modeling, and energy business modeling, providing basic data support for energy monitoring, energy business, and energy applications. An interface display component: This component uses a mobile display interface with diverse visualization components to show the cloud connectivity status of smart meters for various energy types, purchase and consumption volumes of various energy sources across multiple time dimensions, year-on-year and month-on-month energy consumption comparisons, and energy costs for various energy sources. An energy alarm component: This component includes alarms for meter online rate and energy tag value exceeding limits. Users can set reasonable thresholds for different alarm modules, and messages are pushed in real time when thresholds are exceeded.

[0057] The specific technical solutions involved in each part of this invention are as follows:

[0058] 1. IoT Access: Smart meters collect data at the underlying level and transmit it to the data acquisition gateway for data verification, cleaning, and other processing. The data acquisition gateway then transmits the processed data to the EMQX cluster via MQTT or HTTP protocols in JSON format. Data from each meter has a correct timestamp. The data acquisition gateway features data caching and breakpoint resume capabilities, supporting the storage of valid data for up to 10 days, thus preventing data acquisition gateway failures to transmit to the EMQX cluster due to network issues.

[0059] After receiving data from the data acquisition gateway, the EMQX cluster performs access authentication, data encryption, and ACL access authorization sequentially to ensure data security. Only then is the valid and secure data stored in the time-series database. This invention utilizes a time-series database built with a Tdengine cluster, employing a one-to-one relationship between meters and data tables to support access for millions of meters, data storage for billions of energy data points, millisecond-level access, and fast query capabilities.

[0060] 2. Energy Modeling: Based on relational databases, establish corresponding models, including basic energy modeling, energy metering modeling, and energy business modeling.

[0061] 2.1. Energy Basic Modeling: Establish corresponding basic models for different energy types (water, electricity, steam, gas, etc.). The models include basic attributes such as energy type, energy collection label, and label unit.

[0062] 2.2. Energy Metering Modeling: Establish corresponding metering models for different energy metering devices (water meters, electricity meters, steam meters, gas meters). The models include attributes such as metering device type, metering device code, metering depth, and metering unit.

[0063] 2.3. Energy Business Modeling: Establish multiple types of models for energy statistics and analysis-related businesses, such as energy planning and management models, energy cost models, and energy statistics system models.

[0064] 3. Interface Display Section:

[0065] 3.1 User Login: Users can log in using their account and password or by verifying their mobile phone number linked to WeChat. Simultaneously, the account information is sent back to the server, matched against the server's user database to determine user permissions, and the user is redirected to the homepage corresponding to their permissions.

[0066] 3.2. Energy Portal: This page uses rich and intuitive visualization components to showcase multiple energy function modules. A pie chart displays the number of smart meters uploaded to the cloud and the percentage of meters for each energy type. Segmented controllers and Popover card views display energy purchases, consumption, and sales across multiple energy types and time dimensions. Heatmaps and tables display energy consumption rankings for different data collection units and year-on-year / month-on-month comparisons.

[0067] 4. Energy alarm:

[0068] 4.1. Meter Online Rate Alarm: To ensure data integrity, the online status of smart meters is monitored. Users set reasonable online rates for meters of various energy types. If the online rate of the corresponding meter type is lower than the user-set threshold, an alarm will be pushed to the designated user.

[0069] 4.2. Energy Tag Value Exceeding Alarm: Set reasonable upper and lower limit thresholds for the values ​​of a certain tag on all or a specific smart meter. If the real-time collected value is higher or lower than the set threshold, an alarm will be pushed to the designated user.

[0070] 4.3 Daily Consumption Exceedance Alarm: Users set reasonable upper and lower limits for the daily consumption of designated instruments. At a specific time each day (the settlement time set by the user), the consumption of the previous day is calculated and compared with the alarm threshold. If it exceeds or falls below the set threshold, an alarm is pushed to the designated user.

[0071] like Figure 1 As shown, the overall architecture of a mobile-based enterprise energy online monitoring system and method includes a field layer, a data acquisition layer, an IoT layer, a storage layer, and a business layer.

[0072] refer to Figure 1 and Figure 2 This invention illustrates the IoT access portion, which includes:

[0073] The field layer is based on selecting smart meters with communication transmission capabilities or connecting to other underlying data acquisition systems.

[0074] The acquisition layer is used to collect or integrate energy tag data from field-level smart meters or other underlying acquisition systems into IoT devices such as serial servers, edge gateways, and 4G DTUs.

[0075] The IoT layer is designed to ensure the security, accuracy, and rationality of energy data by encrypting and cleaning the data acquired from the acquisition layer. This mainly includes data encryption, device authentication, access authorization, and API integration.

[0076] The storage layer stores the data processed by the IoT layer. In this invention, the collected energy data is stored in the Tdengine time-series database. Compared to InfluxDB and TimescaleDB, TdengineDB reduces the number of components, lowers the complexity of the architecture, reduces storage costs, and improves the real-time response of business operations. Then, depending on different business scenarios, the business data is stored in a Redis real-time database or a MySQL business database.

[0077] Based on the field layer to the storage layer, IoT access is realized, and then the business layer covers the functions of energy modeling module, page display module and energy alarm module.

[0078] refer to Figure 1 and Figure 3 The energy modeling module and page display module of this invention are shown:

[0079] The energy modeling module establishes a basic model, a metering model, and a business model. The basic model is based on energy categories, such as electricity, water, steam, and gas, and includes fundamental attributes such as energy type, energy collection tag, and tag unit. The metering model is based on smart meters, such as electricity meters, water meters, steam meters, and natural gas meters, and includes attributes such as metering device type, metering device code, metering depth, and metering unit. The metering depth and metering unit adopt a hierarchical structure, based on the national standard "JJF 1051 Naming and Classification Coding of Measuring Instruments," establishing three main metering levels: energy inflow / outflow, primary and secondary energy consumption, and primary energy-consuming equipment. To achieve more refined control, metering levels such as primary energy-consuming processes and primary energy-consuming equipment groups are also established. The business model is a multi-category model based on energy statistics and analysis, including an energy planning management model for energy consumption benchmarking, an energy cost model for energy cost management, and an energy statistics system model for energy analysis.

[0080] The business model can be customized according to requirements. It performs energy-related calculations by acquiring necessary information from the database, and the results are used for visualization. In this embodiment, the input information for various models in the business model is basic energy-related data, including energy price information from a relational database, meter energy data from a time-series database, and online status of meters from a real-time database. Processed data is obtained through pre-defined calculations and data concatenation according to requirements. For example:

[0081] 1. Energy Planning and Management Model:

[0082] The inputs are the energy plan time period and the planned consumption value. The actual consumption value is obtained from the instrument energy data through the system interface. Then, through calculation, the outputs are the actual consumption value, the planned consumption value, the percentage difference between the actual and the planned consumption, the comprehensive planned / actual consumption value of multiple energy types (converted to tons of standard coal), etc.

[0083] 2. Energy Cost Model:

[0084] The system takes peak-valley time periods and prices as input from energy price information in the business database. After obtaining peak-valley consumption data through the system interface, it performs calculations and outputs peak-valley consumption, time-of-use costs, total costs, etc.

[0085] 3. Energy Statistical System Model:

[0086] Various analytical business models can be set up according to requirements, and the inputs and outputs of each type of business will differ depending on the requirements.

[0087] The page display modules mainly include the user login interface and the energy portal interface.

[0088] Users can access the energy portal interface via the login screen by entering their account and password or verifying their mobile phone number. User information is stored in the `user` database of the MySQL business database. The `user` database contains tables for user roles, user information, user permissions, and permission details, which implement user permission management. After user login information is verified, the system receives information returned from the user permission-related interfaces and redirects the user to the corresponding energy portal interface.

[0089] The energy portal interface includes modules for details on smart meters uploaded to the cloud, details on energy consumption, energy consumption ranking, and energy consumption benchmarking.

[0090] The cloud-based details module for smart meters processes information such as the online status of meters in the real-time database and the meter information in the relational database, and then displays it in the form of Doughnut Chart, Gauge Chart, etc. Users can intuitively view the online rate and number of online smart meters of different energy types in the enterprise.

[0091] The energy consumption details module calls on meter energy data from the time-series database and price details from the relational database, processes the data, and then displays it using visualization components such as segmented, popover cards, and pie charts. Users can intuitively view the purchase, consumption, and sales of energy across multiple time dimensions and energy types.

[0092] The energy consumption ranking module processes the energy data from the time-series database and the metering information from the relational database, and then displays it in the form of Heatmap on Cartesian Chart and Bar Chart. Users can intuitively view the energy consumption and ranking at different metering levels. It also supports drilling down the energy consumption data layer by layer by time period or metering level by clicking on the data items in the bar chart.

[0093] The energy consumption benchmarking module calls the meter energy data in the time series database, performs calculations, and displays the data in the form of a stacked line chart. Users can intuitively view the year-on-year and month-on-month benchmarking of energy consumption within a specified metering range.

[0094] refer to Figure 1 and Figure 4 The energy alarm function of this invention is demonstrated. The energy alarm function includes an instrument online rate alarm module, an energy tag value exceeding the standard alarm module, and a daily consumption exceeding the standard alarm module.

[0095] Figure 4The overall process of the instrument online rate alarm module is demonstrated. Users can pre-set the online rate alarm thresholds for smart meters of different energy types. When the online rate changes or the trigger timer cycle is reached, the corresponding interface is called to obtain the current online rate and online rate alarm threshold of each energy type smart meter. Then, the actual online rate is compared with the alarm threshold. If the actual online rate is lower than the alarm threshold, an alarm message is generated and sent to the designated user via WeChat push or SMS.

[0096] The energy tag value exceeding alarm module is used to monitor the values ​​of specific tags on smart meters. Users can set the threshold for a specified tag in advance, such as the pressure value of a common steam meter. When the value of the specified tag changes or reaches the trigger timer cycle, the corresponding interface is called to obtain the actual value of the specified tag and the alarm threshold. If the actual value is higher than the upper limit threshold or lower than the lower limit threshold, an alarm message is generated and sent to the specified user in the form of WeChat push or SMS.

[0097] The daily energy consumption exceeding the limit alarm module is used to monitor the energy consumption of smart meters the previous day. Users can pre-set the daily energy consumption threshold and metering time period for the smart meters they want to monitor. For example, for a certain meter D1, from 8:00 a.m. the previous day to 8:00 a.m. today, when the time is 8:00 a.m. today, the corresponding interface is called to obtain the energy consumption of the specified meter from 8:00 a.m. yesterday to 8:00 a.m. today and the daily energy consumption threshold. If the energy consumption exceeds the limit, an alarm message is generated and sent to the specified user via WeChat push or SMS.

Claims

1. A mobile terminal-based enterprise energy online monitoring system, characterized in that, The utility model relates to an energy management system based on smart metering, comprising: a field layer including smart meters with communication transmission functions for collecting metering energy data; a collection layer for transmitting metering energy data of smart meters in the field layer to communication equipment; a thing layer for encrypting and cleaning data obtained by the collection layer; a storage layer for storing data processed by the thing layer through a database; a business layer for energy consumption management and alarm of metering energy data of smart meters through modeling of smart meters and visualization.

2. The mobile terminal-based enterprise energy online monitoring system according to claim 1, characterized in that, The storage layer comprises: a time series database for storing metering energy data collected by smart meters; a real-time database for caching online states of smart meters; a relational database for storing information of smart meters and energy price information.

3. The mobile terminal based enterprise energy online monitoring system according to claim 1, wherein, The business layer comprises: an energy modeling module for constructing a model based on smart meters to represent categories, metering information and energy management of smart meters; a page display module for displaying usage of smart meters, energy consumption and energy consumption in a visualized manner by calling data of databases in the storage layer; an energy alarm function module for monitoring online rates, energy consumption of smart meters and energy alarm.

4. The mobile terminal based enterprise energy online monitoring system according to claim 1, wherein, The energy modeling module comprises: a basic model for representing energy categories, attributes including energy types, energy collection labels and label units; a metering model for representing information of smart meters, attributes including metering equipment types, metering equipment codes, metering depths and metering units; a business model for energy statistics and analysis, based on different energy types, metering energy data and energy price information, personalized setting according to different demands to realize business functions of energy plan management and energy cost management.

5. The mobile terminal based enterprise energy online monitoring system according to claim 1, wherein, The page display module comprises a user login interface and an energy portal interface. The energy portal interface comprises: a smart meter cloud uploading details module for visualizing in a chart form by calling online states of smart meters in the real-time database and information of smart meters in the relational database to display online rates and online quantities of different energy type smart meters; an energy consumption details module for visualizing by calling metering energy data in the time series database and energy price information in the relational database through visual components to display energy purchase quantities, consumption quantities and sales quantities of multiple time dimensions and multiple energy types; an energy consumption ranking module for visualizing in a chart form by calling metering energy data in the time series database and metering information in the relational database to display energy consumption quantities and ranking situations of different metering levels and support obtaining energy consumption data of a time period or a metering level by clicking data items in a column chart; an energy consumption benchmarking module for visualizing in a line chart form by calling metering energy data in the time series database to display same period and comparative benchmarking situations of energy consumption quantities of a specified metering range.

6. The mobile terminal based enterprise energy online monitoring system according to claim 1, wherein, The energy alarm function module comprises: The instrument online rate alarm module is used for obtaining the online state of the intelligent instrument from the real-time database when the online rate changes or reaches the trigger timer cycle, calculating the current online rate of each energy type intelligent instrument, and obtaining the online rate alarm threshold set by the user from the business database, and comparing the online rate with the alarm threshold; when the online rate is lower than the alarm threshold, alarm information is generated and sent to the specified user in the form of WeChat push or short message; The energy label value exceeds the alarm module, which is used for monitoring the specified label value of the intelligent instrument; when the specified label value changes or reaches the trigger timer cycle, the actual value of the specified label and the alarm threshold are obtained; when the actual value is higher than the upper threshold or lower than the lower threshold, alarm information is generated and sent to the specified user in the form of WeChat push or short message; The daily consumption exceeds the alarm module, which is used for monitoring the energy consumption of the intelligent instrument in the previous day; when the energy consumption is greater than the consumption threshold, alarm information is generated and sent to the specified user in the form of WeChat push or short message.

7. A mobile terminal-based enterprise energy online monitoring method, characterized in that, The steps include: The field layer collects instrument energy data; The acquisition layer transmits the instrument energy data of the field layer intelligent instrument to the communication device; The Internet of Things layer encrypts and cleanses the data obtained by the acquisition layer; The storage layer stores the data processed by the Internet of Things layer through the database; The business layer models the intelligent instrument, manages and alarms the instrument energy data of the intelligent instrument, and realizes visualization.

8. The mobile terminal-based enterprise energy online monitoring method according to claim 7, characterized in that, The business layer models the intelligent instrument, manages and alarms the instrument energy data of the intelligent instrument, and realizes visualization, including the following steps: The energy modeling module constructs a model based on the intelligent instrument to represent the category, metering information and energy management of the intelligent instrument; The page display module displays the use of the intelligent instrument, energy consumption and energy consumption in a visual manner by calling the data of the database in the storage layer; The energy alarm function module monitors the online rate, energy consumption and energy alarm of the intelligent instrument.

9. The mobile terminal-based enterprise energy online monitoring method of claim 7, wherein, The page display module displays the use of the intelligent instrument, energy consumption and energy consumption in a visual manner by calling the data of the database in the storage layer, including the following steps: The intelligent instrument cloud detail module visualizes the online rate and online quantity of different energy type intelligent instruments in a chart form by calling the online state of the intelligent instrument in the real-time database and the intelligent instrument information in the relational database; The energy consumption detail module visualizes the energy purchase, consumption and sales of multiple time dimensions and multiple energy types by calling the instrument energy data in the time series database and the energy price information in the relational database; The energy consumption ranking module visualizes the energy consumption and ranking of different metering levels in a chart form by calling the instrument energy data in the time series database and the instrument metering information in the relational database, and supports obtaining the energy consumption data of the time period or metering level by clicking the data item in the column chart; The energy consumption target passing is passed by calling the instrument energy data in the time series database, and the line chart form is used for visualization to show the same period, the relative comparison of the energy consumption of the specified measurement range.

10. A computer-readable storage medium, characterized in that, The storage medium has a computer program stored thereon, and when the computer program is executed by the processor, the method for online monitoring of enterprise energy based on a mobile terminal is realized.

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