CN115146977A - Enterprise energy efficiency data management method and system based on Internet of things - Google Patents

Abstract

The present application discloses an enterprise energy efficiency data management method and system based on the Internet of Things. The method includes: collecting data monitored by intelligent terminal equipment and data collection devices; , obtain the actual operation data of the equipment; send the actual operation data of the equipment to the monitoring and management platform, and the user can monitor and manage the data through the monitoring and management platform; solve the problem of relying on manual meter reading to count and input energy data, and collect intelligent terminal The data monitored by the equipment and data acquisition devices are processed to obtain the actual operation data of the equipment and sent to the monitoring and management platform, so that the enterprise can comprehensively monitor the energy efficiency of the equipment and realize the integration of enterprise energy information collection, sharing, management and optimal scheduling. Integrated applications help enterprises save energy and reduce emissions, reduce energy consumption costs, lay the foundation for enterprises to realize digital factories, and truly meet the development needs of modern enterprise energy management.

Description

A method and system for enterprise energy efficiency data management based on Internet of Things

technical field

The invention belongs to the technical field of enterprise energy efficiency management, and in particular relates to a method and system for enterprise energy efficiency data management based on the Internet of Things.

Background technique

At present, for enterprises, especially those with high energy consumption, the realization of energy saving and consumption reduction goals is the need of corporate social responsibility and development. This is because the industry is a major consumer of energy in my country, and high-energy-consuming enterprises in key energy-consuming industries are also major consumers of industrial energy. For small and medium-sized enterprises with a large number, covering a wide range of industries, and due to their relatively small scale, the technical level and energy consumption level are uneven, and it is also necessary to save energy and reduce consumption, improve energy utilization efficiency, and improve their own competitiveness. .

In the prior art, the energy data and production status of electricity, water, gas and other data of enterprises are mostly managed manually, which has low efficiency, hysteresis, and great resistance to energy efficiency improvement. It relies on manual meter reading for statistical input or computer monitoring of the production process. system, lacking functions such as comprehensive management and energy performance evaluation.

SUMMARY OF THE INVENTION

The invention overcomes the shortcomings of the prior art, and the technical problem to be solved is: to provide an enterprise energy efficiency data management method and system based on the Internet of Things, which can realize the comprehensive integrated application of enterprise energy information collection, sharing, management and optimal scheduling.

In order to solve the above technical problems, the technical solution adopted in this application is: an enterprise energy efficiency data management method based on the Internet of Things, which includes: collecting data monitored by intelligent terminal equipment and data collection devices; and performing statistics and analysis on the collected data. After comparing and storing, the actual operation data of the equipment is obtained; the actual operation data of the equipment is sent to the monitoring and management platform, and the user monitors and manages the data through the monitoring and management platform.

Further, the method for managing energy efficiency data of an enterprise based on the Internet of Things includes: training energy efficiency data of equipment in different environments through a machine learning algorithm, obtaining an equipment energy efficiency index model, and storing it in an equipment energy efficiency database; Operating energy efficiency thresholds in different environments; judging whether the actual operating data of the equipment exceeds the preset threshold: when the actual operating data of the equipment exceeds the preset threshold, an alarm prompt is sent to the monitoring and management platform.

Further, the method for managing energy efficiency data of an enterprise based on the Internet of Things includes: calculating and evaluating the energy conversion rate of the enterprise equipment according to the rated information of the equipment; the rated information includes rated power, rated speed, rated efficiency One or more of the above; according to the energy conversion rate evaluation results of the equipment, combined with the historical energy efficiency data of the enterprise and the energy efficiency data of similar enterprises, the overall energy efficiency evaluation results of the enterprise are formed; the overall energy efficiency evaluation results of the formed enterprises are sent to the monitoring system and management platform.

Further, the method for managing energy efficiency data of an enterprise based on the Internet of Things includes: automatically diagnosing abnormal or fault causes and generating suggestions for repair or improvement measures according to the energy efficiency evaluation results of the enterprise, outputting an energy efficiency analysis report, and reporting the analysis results. Data and report data are transmitted to the monitoring and management platform for archival storage and become historical energy efficiency data.

Further, the smart terminal equipment includes smart electricity meters, smart water meters, smart flow meters and smart sensors, and the smart electricity meters, smart water meters, smart flow meters and smart sensors all have data remote transmission interfaces, which can transmit the collected energy data. Carry out remote transmission; it is used to measure the energy consumption data and production status data of electricity, water and gas in industrial enterprises.

Correspondingly, an enterprise energy efficiency data management system based on the Internet of Things includes: a data acquisition unit: used to collect data monitored by an intelligent terminal device; a data processing unit: after statistics, analysis, comparison, and storage of the collected data , to obtain the actual operation data of the equipment; information exchange unit: used to send the actual operation data of the equipment to the monitoring and management platform, and the user can monitor and manage the data through the monitoring and management platform.

Further, the enterprise energy efficiency data management system based on the Internet of Things includes: a device energy efficiency database establishment unit: used to train the energy efficiency data of the device in different environments through the machine learning algorithm, obtain the device energy efficiency index model, and store it in Equipment energy efficiency database; threshold setting unit: used to set the operating energy efficiency thresholds of different equipment in different environments; judgment unit: used to judge whether the actual operation data of the equipment exceeds the preset threshold: alarm unit: when the actual operation data of the equipment exceeds the preset threshold When the threshold is set, an alarm prompt is sent to the monitoring and management platform.

Further, the enterprise energy efficiency data management system based on the Internet of Things includes: an equipment energy efficiency evaluation unit: used to calculate and evaluate the energy conversion rate of the enterprise equipment according to the rated information of the equipment; the rated information includes the rated information. One or more of power, rated speed, and rated efficiency; comprehensive energy efficiency evaluation unit: used to evaluate the results of the energy conversion rate of the equipment, combined with the historical energy efficiency data of the enterprise and the energy efficiency data of similar enterprises, to form the overall energy efficiency of the enterprise Evaluation results; communication unit: used to send the overall energy efficiency evaluation results of the enterprise to the monitoring and management platform.

Further, the enterprise energy efficiency data management system based on the Internet of Things includes: an energy efficiency result analysis unit: according to the energy efficiency evaluation result of the enterprise, automatically diagnosing abnormal or fault causes, generating repair or improvement measures suggestions, and outputting an energy efficiency analysis report, These analysis result data and report data are transmitted to the monitoring and management platform for archival storage and become historical energy efficiency data.

Further, the smart terminal equipment includes smart electricity meters, smart water meters, smart flow meters and smart sensors, and the smart electricity meters, smart water meters, smart flow meters and smart sensors all have data remote transmission interfaces, which can transmit the collected energy data. Carry out remote transmission; it is used to measure the energy consumption data and production status data of electricity, water and gas in industrial enterprises.

Compared with the prior art, the present application has the following beneficial effects:

The present application provides a method and system for enterprise energy efficiency data management based on the Internet of Things. The method includes: collecting data monitored by intelligent terminal equipment and data collection devices; The actual operation data of the equipment is output; the actual operation data of the equipment is sent to the monitoring and management platform, and the user monitors and manages the data through the monitoring and management platform; this embodiment solves the problem of relying on manual meter reading to count and input energy data. By collecting the data monitored by the intelligent terminal equipment and data collection device, the actual operation data of the equipment is obtained after processing and sent to the monitoring and management platform, so as to realize the comprehensive monitoring of the energy efficiency of the equipment by the enterprise, and realize the collection, sharing, management and management of energy information of the enterprise. The comprehensive integrated application of optimized scheduling helps enterprises to save energy and reduce emissions, reduce energy consumption costs, lay the foundation for enterprises to realize digital factories, and truly meet the development needs of modern enterprise energy management.

Description of drawings

The application will be described in further detail below in conjunction with the accompanying drawings;

FIG. 1 is a schematic flowchart of an Internet of Things-based enterprise energy efficiency data management method provided in Embodiment 1 of the present application;

FIG. 2 is a schematic flowchart of an IoT-based enterprise energy efficiency data management method provided in Embodiment 2 of the present application;

3 is a schematic structural diagram of an enterprise energy efficiency data management system based on the Internet of Things provided in Embodiment 1 of the present application;

FIG. 4 is a schematic structural diagram of an enterprise energy efficiency data management system based on the Internet of Things according to Embodiment 2 of the present application.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, not all of the embodiments; based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the protection of the present application. .

It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances so that the embodiments of the application described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having" and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those expressly listed Rather, those steps or units may include other steps or units not expressly listed or inherent to these processes, methods, products or devices.

It will be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. Also, in the specification and claims, when an element is described as being "connected" to another element, the element can be "directly connected" to the other element or "connected" to the other element through a third element.

The present application will be described below with reference to the preferred implementation steps. FIG. 1 is a schematic flowchart of an IoT-based enterprise energy efficiency data management method provided in Embodiment 1 of the present application. As shown in FIG. 1 , the method includes the following steps:

Step S101, collecting data monitored by an intelligent terminal device and a data collection device;

Step S102, after statistics, analysis, comparison and storage of the collected data, the actual operation data of the equipment is obtained;

In step S103, the actual operation data of the device is sent to the monitoring and management platform, and the user monitors and manages the data through the monitoring and management platform.

To sum up, this embodiment provides an IoT-based enterprise energy efficiency data management method, which collects data monitored by intelligent terminal equipment and data collection devices; The actual operation data of the equipment; the actual operation data of the equipment is sent to the monitoring and management platform, and the user monitors and manages the data through the monitoring and management platform; this embodiment solves the problem of relying on manual meter reading to count and input energy data. Collect the data monitored by intelligent terminal equipment and data collection device, and after processing, get the actual operation data of the equipment and send it to the monitoring and management platform, so that the enterprise can comprehensively monitor the energy efficiency of the equipment, and realize the collection, sharing, management and optimization of enterprise energy information. The integrated application of dispatching helps enterprises to save energy and reduce emissions, reduce energy consumption costs, lay the foundation for enterprises to realize digital factories, and truly meet the development needs of modern enterprise energy management.

FIG. 2 is a schematic flowchart of an IoT-based enterprise energy efficiency data management method provided in Embodiment 2 of the present application. As shown in FIG. 2 , the method further includes: step S201 , using a machine learning algorithm to train a device in different environments obtain the energy efficiency index model of the equipment, and store it in the equipment energy efficiency database; step S202, set the operating energy efficiency thresholds of different equipment in different environments; step S203, determine whether the actual operating data of the equipment exceeds the preset threshold: step S204, When the actual operation data of the device exceeds the preset threshold, an alarm prompt is sent to the monitoring and management platform.

Specifically, the machine learning algorithm is used to train the energy efficiency data of the equipment in different environments, so as to build the equipment energy efficiency index model, and according to the energy efficiency data of the equipment in different environments obtained by training, set the operating energy efficiency thresholds of the equipment in different environments, and judge the equipment. Whether the actual operating data of the equipment exceeds the preset threshold, when the actual operating data of the equipment exceeds the preset threshold, an alarm prompt will be sent to the monitoring and management platform; the staff will be reminded to adjust the equipment operating parameters in time to assist the enterprise in saving energy and reducing consumption.

Further, the method for managing energy efficiency data of an enterprise based on the Internet of Things includes: calculating and evaluating the energy conversion rate of the enterprise equipment according to the rated information of the equipment; the rated information includes rated power, rated speed, rated efficiency One or more of the above; according to the energy conversion rate evaluation results of the equipment, combined with the historical energy efficiency data of the enterprise and the energy efficiency data of similar enterprises, the overall energy efficiency evaluation results of the enterprise are formed; the overall energy efficiency evaluation results of the formed enterprises are sent to the monitoring system and management platform; this embodiment calculates and evaluates the energy conversion rate of the enterprise equipment according to the rated information of the equipment, and obtains the energy conversion rate evaluation result of the equipment. Compare with the evaluation results of enterprises of the same type, understand the current overall energy efficiency level and trend of the enterprise, and form the comprehensive energy efficiency evaluation result of the enterprise. This embodiment is convenient for staff to grasp the energy consumption of each energy-consuming equipment and each Information such as the energy saving potential of energy-consuming equipment.

Further, the method for managing energy efficiency data of an enterprise based on the Internet of Things includes: automatically diagnosing abnormal or fault causes and generating suggestions for repair or improvement measures according to the energy efficiency evaluation results of the enterprise, outputting an energy efficiency analysis report, and reporting the analysis results. Data and report data are transmitted to the monitoring and management platform for archival storage and become historical energy efficiency data; According to the analysis and diagnosis information, the optimization and adjustment of energy, equipment and production process are carried out in a timely manner, and the energy consumption efficiency is continuously improved.

Further, in the method for managing energy efficiency data of an enterprise based on the Internet of Things, the intelligent terminal device includes a smart electricity meter, a smart water meter, a smart flow meter and a smart sensor, the smart electricity meter, the smart water meter, the smart flow meter and the smart sensor All have data remote transmission interface, which can transmit the collected energy data remotely; it is used to measure the energy consumption data and production status data of electricity, water and gas of industrial enterprises; Intelligent terminal equipment such as smart flow meters and smart sensors are connected to the data acquisition device to obtain energy data of various energy types such as electricity, water, and gas on-site, such as power index, flow rate, temperature, pressure and other data; the data acquisition device passes through the network. The connection method uploads the data to the server of the monitoring and management platform; grasps the real-time energy consumption of the enterprise, lets the energy data speak, and assists the enterprise to save energy and reduce consumption.

FIG. 3 is a schematic structural diagram of an IoT-based enterprise energy efficiency data management system provided in Embodiment 1 of the present application. As shown in FIG. 3 , the system includes:

Data collection unit 10: used to collect data monitored by the intelligent terminal device;

Data processing unit 20: after statistics, analysis, comparison and storage of the collected data, the actual operation data of the equipment is obtained;

Information interaction unit 30: used to send the actual operation data of the device to the monitoring and management platform, and the user can monitor and manage the data through the monitoring and management platform.

An enterprise energy efficiency data management system based on the Internet of Things provided by this embodiment collects the data monitored by the intelligent terminal equipment and the data collection device through the data collection unit 10; the data processing unit 20 performs statistics, analysis and comparison on the collected data After storage, the actual operation data of the equipment is obtained; the information exchange unit 30 sends the actual operation data of the equipment to the monitoring and management platform, and the user monitors and manages the data through the monitoring and management platform; this embodiment solves the problem of relying on manual copying. The energy data is entered into the table statistics. This application collects the data monitored by the intelligent terminal equipment and the data acquisition device, and after processing, the actual operation data of the equipment is obtained and sent to the monitoring and management platform, so as to realize the comprehensive monitoring of the energy efficiency of the equipment by the enterprise. The comprehensive integrated application of energy information collection, sharing, management and optimal scheduling helps enterprises save energy and reduce emissions, reduce energy consumption costs, lay the foundation for enterprises to realize digital factories, and truly meet the development needs of modern enterprise energy management.

FIG. 4 is a schematic structural diagram of an enterprise energy efficiency data management system based on the Internet of Things provided in Embodiment 2 of the present application. As shown in FIG. 4 , the system further includes: a device energy efficiency database establishment unit 40 : used for training through machine learning algorithms The energy efficiency data of the equipment in different environments, obtain the equipment energy efficiency index model, and store it in the equipment energy efficiency database; the threshold setting unit 50: used to set the operating energy efficiency thresholds of different equipment in different environments; the judgment unit 60: used to judge the equipment's energy efficiency Whether the actual operation data exceeds the preset threshold: alarm unit 70: when the actual operation data of the equipment exceeds the preset threshold, send an alarm prompt to the monitoring and management platform; specifically, train the equipment's energy efficiency data in different environments through machine learning algorithms , so as to build an equipment energy efficiency index model, according to the energy efficiency data of the equipment in different environments obtained through training, the threshold setting unit 50 is used to set the operating energy efficiency thresholds of the equipment in different environments, and the judgment unit 60 judges whether the actual operation data of the equipment exceeds the preset value Threshold, when the actual operation data of the equipment exceeds the preset threshold, an alarm prompt is sent to the monitoring and management platform through the alarm unit 70 to remind the staff to adjust the equipment operation parameters in time to assist the enterprise in saving energy and reducing consumption.

Optionally, an enterprise energy efficiency data management system based on the Internet of Things provided in the embodiment of the present application includes: an equipment energy efficiency evaluation unit: used to calculate and evaluate the energy conversion rate of the enterprise equipment according to the rated information of the equipment; The rated information includes one or more of rated power, rated speed, and rated efficiency; comprehensive energy efficiency evaluation unit: used to evaluate the results according to the energy conversion rate of the equipment, combined with the historical energy efficiency data of the enterprise and the energy efficiency data of similar enterprises , to form the overall energy efficiency evaluation result of the enterprise; communication unit: used to send the overall energy efficiency evaluation result of the enterprise to the monitoring and management platform; in this embodiment, the equipment energy efficiency evaluation unit according to the rated information of the equipment, the energy conversion rate of the enterprise equipment is carried out. Calculate and evaluate to obtain the energy conversion rate evaluation result of the equipment. In order to better understand the overall energy efficiency of the enterprise, the comprehensive energy efficiency evaluation unit compares the energy conversion rate evaluation result of the equipment with the historical evaluation of the enterprise and the evaluation results of the same type of enterprises , understand the current overall energy efficiency level and trend of the enterprise, and form the comprehensive energy efficiency evaluation result of the enterprise. This embodiment facilitates the staff to grasp the energy consumption of each energy-consuming device and the energy-saving potential of each energy-consuming device anytime, anywhere.

Optionally, an enterprise energy efficiency data management system based on the Internet of Things provided in the embodiment of the present application includes: an energy efficiency result analysis unit: according to the energy efficiency evaluation result of the enterprise, automatically diagnose abnormal or fault causes and generate repair or improvement measures suggestions , output the energy efficiency analysis report, and transmit the analysis result data and report data to the monitoring and management platform for archiving and storage, and become historical energy efficiency data; Enterprises can grasp the operating status and energy consumption of energy-consuming equipment in real time, and optimize and adjust energy, equipment, and production processes in a timely manner based on the analysis and diagnosis information, and continuously improve energy efficiency.

Optionally, the smart terminal device includes a smart electricity meter, a smart water meter, a smart flow meter, and a smart sensor, and the smart electricity meter, smart water meter, smart flow meter, and smart sensor all have a data remote transmission interface, which can transfer the collected energy. Remote transmission of data; used to measure the energy consumption data and production status data of electricity, water and gas in industrial enterprises; specifically, intelligent terminal equipment such as smart electricity meters, smart water meters, smart flow meters and smart sensors on the enterprise site and data collection The device is connected to obtain on-site energy data of various energy types such as electricity, water, and gas, such as power indicators, flow, temperature, pressure and other data; the data acquisition device uploads the data to the server of the monitoring and management platform through network connection; Grasp the real-time energy consumption of enterprises, let energy data speak, and assist enterprises to save energy and reduce consumption.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Because in accordance with the present application, certain steps may be performed in other orders or concurrently. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units or components may be combined or Integration into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical or other forms.

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

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

The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of software products in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, and the computer software products are stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a mobile terminal, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes .

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features thereof can be equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present application. scope.

Claims (10)

1. An enterprise energy efficiency data management method based on the Internet of things is characterized by comprising the following steps:

collecting data monitored by the intelligent terminal equipment and the data collecting device;

after the collected data are counted, analyzed, compared and stored, the actual operation data of the equipment are obtained;

and sending the actual operation data of the equipment to a monitoring and management platform, and monitoring and managing the data by a user through the monitoring and management platform.

2. The method for managing the energy efficiency data of the enterprises based on the Internet of things according to claim 1, characterized by comprising the following steps:

training energy efficiency data of the equipment under different environments through a machine learning algorithm to obtain an equipment energy efficiency index model, and storing the equipment energy efficiency index model into an equipment energy efficiency database;

setting operation energy efficiency thresholds of different devices in different environments;

judging whether the actual operation data of the equipment exceeds a preset threshold value:

and when the actual operation data of the equipment exceeds a preset threshold value, sending an alarm prompt to the monitoring and management platform.

3. The method for managing the energy efficiency data of the enterprises based on the Internet of things according to claim 1, characterized by comprising the following steps:

calculating and evaluating the energy conversion rate of the enterprise equipment according to the rated information of the equipment; the rated information comprises one or more of rated power, rated rotating speed and rated efficiency;

forming an overall energy efficiency evaluation result of the enterprise according to the energy conversion rate evaluation result of the equipment and by combining historical energy efficiency data of the enterprise and energy efficiency data of the similar enterprise;

and sending the overall energy efficiency evaluation result of the formed enterprise to a monitoring and management platform.

4. The Internet of things-based enterprise energy efficiency data management method according to claim 3, characterized by comprising the following steps:

according to the energy efficiency evaluation result of an enterprise, automatically diagnosing the reason of the abnormality or the fault, generating a repair or improvement measure suggestion, outputting an energy efficiency analysis report, and transmitting the analysis result data and the report data to a monitoring and management platform for filing and storage to form historical energy efficiency data.

5. The enterprise energy efficiency data management method based on the Internet of things is characterized in that the intelligent terminal device comprises an intelligent electric meter, an intelligent water meter, an intelligent flow meter and an intelligent sensor, wherein the intelligent electric meter, the intelligent water meter, the intelligent flow meter and the intelligent sensor are all provided with data remote transmission interfaces, and can remotely transmit the acquired energy data; the method is used for measuring the energy consumption data and the production state data of electricity, water and gas of industrial enterprises.

6. An enterprise energy efficiency data management system based on the Internet of things is characterized by comprising:

a data acquisition unit: the intelligent terminal equipment is used for acquiring data monitored by the intelligent terminal equipment;

a data processing unit: after the collected data are counted, analyzed, compared and stored, the actual operation data of the equipment are obtained;

the information interaction unit: the device is used for sending actual operation data of the device to the monitoring and management platform, and a user monitors and manages the data through the monitoring and management platform.

7. The Internet of things-based enterprise energy efficiency data management system according to claim 6, comprising:

the device energy efficiency database establishment unit: the device energy efficiency index model is obtained by training energy efficiency data of the device under different environments through a machine learning algorithm and is stored in a device energy efficiency database;

a threshold setting unit: the method is used for setting operation energy efficiency thresholds of different devices in different environments;

a judging unit: the method is used for judging whether the actual operation data of the equipment exceeds a preset threshold value:

an alarm unit: and when the actual operation data of the equipment exceeds a preset threshold value, sending an alarm prompt to the monitoring and management platform.

8. The Internet of things-based enterprise energy efficiency data management system according to claim 6, comprising:

the equipment energy efficiency evaluation unit: the system comprises a data processing system, a data processing system and a data processing system, wherein the data processing system is used for calculating and evaluating the energy conversion rate of enterprise equipment according to rated information of the equipment; the rated information comprises one or more of rated power, rated rotating speed and rated efficiency;

the comprehensive energy efficiency evaluation unit: the energy conversion rate evaluation device is used for forming an overall energy efficiency evaluation result of the enterprise according to the energy conversion rate evaluation result of the equipment and by combining historical energy efficiency data of the enterprise and energy efficiency data of the same enterprise;

a communication unit: and the system is used for sending the integral energy efficiency evaluation result of the enterprise to the monitoring and management platform.

9. The internet of things-based enterprise energy efficiency data management system according to claim 8, comprising:

energy efficiency result analysis unit: according to the energy efficiency evaluation result of an enterprise, automatically diagnosing the reason of the abnormality or the fault, generating a repair or improvement measure suggestion, outputting an energy efficiency analysis report, and transmitting the analysis result data and the report data to a monitoring and management platform for filing and storage to form historical energy efficiency data.

10. The enterprise energy efficiency data management system based on the Internet of things according to claim 1, wherein the intelligent terminal device comprises an intelligent electric meter, an intelligent water meter, an intelligent flow meter and an intelligent sensor, the intelligent electric meter, the intelligent water meter, the intelligent flow meter and the intelligent sensor are all provided with data remote transmission interfaces, and collected energy data can be remotely transmitted; the method is used for measuring the energy consumption data and the production state data of electricity, water and gas of industrial enterprises.

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