An energy management data acquisition system based on the Internet of Things

Abstract

The present invention relates to the technical field of measuring fixtures, and specifically to an energy management data acquisition system based on the Internet of Things, including a server, a power consumption monitoring module, a fuel consumption monitoring module, and a hydraulic consumption monitoring module. The power consumption monitoring module is data-connected with the server for real-time collection of electric energy data and sending the power consumption data to the server. The hydraulic consumption monitoring module is data-connected with the server for real-time collection of water consumption data. In the present invention, through the setting of the power consumption monitoring module, the power load is monitored in real time through the power consumption monitoring module: the enterprise power grid is monitored in real time by region, so as to facilitate timely discovery and location of power anomalies, and facilitate subsequent processing of power system anomalies, ensure the stability of power supply, and provide accurate data for equipment energy efficiency analysis and optimization.

Description

Technical Field

[0001] The invention relates to the technical field of measuring fixtures, and in particular to an energy management data acquisition system based on the Internet of Things. Background Art

[0002] Although mining companies have taken some measures to monitor consumption, they still face many technical challenges: 1. The existing monitoring system mainly relies on manual meter reading and data filling. It cannot meet the company's high-frequency data collection needs, resulting in delayed data updates and inability to achieve real-time monitoring. 2. At the same time, it lacks effective data analysis and comparison functions, making it difficult to conduct in-depth analysis of consumption and carbon emissions in different time periods and for different equipment, and unable to provide companies with data references for consumption and usage adjustments. 3. The existing monitoring system has deficiencies in data display and user interaction, and cannot meet users' needs for multi-dimensional data display and flexible configuration. It cannot be effectively connected with the government's online consumption monitoring platform, affecting the timely reporting and acceptance of data; Summary of the invention

[0003] The purpose of the present invention is to provide an energy management data acquisition system based on the Internet of Things to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] An energy management data acquisition system based on the Internet of Things, characterized in that it includes a server, a power consumption monitoring module, a fuel consumption monitoring module and a hydraulic consumption monitoring module, wherein the power consumption monitoring module is data-connected to the server for real-time power data acquisition and sending the power consumption data to the server;

[0006] The water consumption monitoring module is data-connected to the server to collect water consumption data in real time and send the water consumption data to the server;

[0007] The fuel consumption monitoring module is data-connected to the server to collect fuel consumption data in real time and send the fuel consumption data to the server;

[0008] The server is used to store consumption data. An energy consumption analysis system is provided in the server. The energy consumption analysis system is used to summarize and analyze the consumption data of electricity, water power and fuel, and calculate carbon emissions based on the energy consumption data;

[0009] Furthermore, the power consumption monitoring module includes a multi-level smart meter, which is used to collect the power consumption in real time according to three levels at the power-consuming equipment end, and send the real-time collected power consumption data to the server. The three levels are the main power grid consumption, the sub-grid consumption and the secondary power grid consumption, respectively. The multi-level smart meter includes a first-level meter, a second-level meter and a third-level meter. The first-level meter, the second-level meter and the third-level meter are data-connected to the server. The power collection end of the first-level meter is connected to the main power grid, the power collection end of the second-level meter is connected to the sub-grid, and the power collection end of the third-level meter is connected to the secondary power grid. The multi-level smart meter has numbering information, and the secondary power grid is used to supply power to the functional area.

[0010] Furthermore, the hydraulic consumption monitoring module includes a multi-level intelligent water meter, which is used to collect water energy consumption in real time at three levels at the water-using equipment end, and send the real-time collected water energy consumption data to the server. The three levels are respectively the water consumption of the main network management, the water consumption of the branch network management and the water consumption of the secondary network management. The multi-level intelligent water meter includes a first-level water meter, a second-level water meter and a third-level water meter. The first-level water meter, the second-level water meter and the third-level water meter are data-connected to the server. The water energy collection end of the first-level water meter is connected to the main network management, the water energy collection end of the second-level water meter is connected to the branch network management, and the water energy collection end of the third-level water meter is connected to the second-level network management. The multi-level intelligent water meter has numbering information, and the second-level network management is used to supply water to the functional area.

[0011] Furthermore, the fuel consumption detection module includes a plurality of fuel detectors, the fuel detectors are used to detect the flow rate at the fuel supply end of the oil storage area, and the fuel detectors send the fuel consumption data collected in real time to the server.

[0012] Furthermore, the energy consumption analysis system includes an energy consumption and carbon emission calculation module, a fault analysis prompt module and multiple simulation function areas, and the energy consumption and carbon emission calculation module is used to calculate the carbon emission according to the electricity consumption and fuel consumption data.

[0013] Further, the energy consumption and carbon emission calculation module calculates the total carbon emission generated by electricity consumption based on the electricity consumption data collected by the first-level electricity meter and the carbon emission factor of electricity, calculates the carbon emission generated by fuel consumption based on the fuel consumption data collected by the fuel monitor and the carbon emission factor of fuel, obtains the regional electricity carbon emission based on the electricity consumption data collected by the second-level electricity meter, and obtains the functional area electricity carbon emission based on the electricity consumption data collected by the third-level electricity meter;

[0014] Conduct statistical analysis on energy consumption data and carbon emission data, and calculate the total energy consumption and carbon emission per day, week, month, season, and year;

[0015] Compare the electricity consumption and electricity carbon emission data in different time periods in the same functional area and in the same time period in different functional areas, and calculate the growth rate and reduction rate.

[0016] Further, the fault analysis prompt module:

[0017] Used to compare the power consumption data of the main power grid with the sum of the power consumption data of multiple sub-grids to obtain the power loss data of the main power grid, and when the power loss data of the main power grid exceeds a preset threshold, issue a main power grid leakage warning;

[0018] Used to compare the power consumption data of a sub-grid with the sum of the power consumption data of multiple secondary grids under it, to obtain the power loss data of each sub-grid, and when the power loss data of the sub-grid exceeds a preset threshold, issue a corresponding sub-grid leakage warning;

[0019] It is used to compare the water consumption data of the main network management with the sum of the water consumption data of multiple sub-network managements to obtain the water loss data of the main network management. When the water loss data of the main network management exceeds a preset threshold, a water leakage warning of the main network management is issued.

[0020] It is used to compare the water consumption data of a sub-network manager with the sum of the water consumption data of its multiple secondary network managers to obtain the water loss data of each sub-network manager. When the water loss data of the sub-network manager exceeds a preset threshold, a water leakage warning is issued for the corresponding main sub-network manager.

[0021] Furthermore, the multiple simulated functional areas correspond one-to-one with the actual functional areas, the simulated functional areas include multiple simulation units, the simulation units correspond one-to-one with each production equipment in the functional areas, and the simulation units are provided with simulated power consumption and simulated water consumption of the corresponding production equipment.

[0022] Furthermore, the fault analysis prompt module further includes a positioning submodule, and the working steps of the positioning submodule are as follows:

[0023] Step S1: Compare the real-time water consumption data of the third-level water meter with the rated water consumption data of the corresponding functional area. When the deviation value of the two is less than the threshold, it is judged that the water consumption of the functional area is normal. When the deviation value of the two is greater than the threshold, the size of the real-time water consumption data and the rated water consumption data is further judged. If the real-time water consumption data is greater than the rated water consumption data, it is judged that the water supply network management of the functional area is abnormal, and an abnormal alarm of the water supply network management is issued. If the real-time water consumption data is less than the rated water consumption data of the functional area, enter step S2;

[0024] Step S2: Calculate the water volume difference between the rated water consumption data of the functional area and the real-time water consumption data, add up multiple simulated water consumptions for several items to form an original collection one, and compare the water volume difference with each sub-item in the original collection one one by one, and output the sub-items with deviation values ​​less than 15% to form a pre-output collection one, calculate the power difference between the rated power consumption of the functional area and the real-time power consumption of the functional area, add up multiple simulated power consumptions for several items to form an original collection two, and compare the power difference with the original collection two The sub-items in the pre-output set are compared one by one, and the sub-items with deviation values ​​less than 15% are output to form a pre-output set 2. The intersection item of the pre-output set 1 and the pre-output set 2 is output to obtain a number of simulation units covered by the intersection item. It is judged that the several simulation units are in a closed state and the water supply network management of the functional area is normal. The power alarm is performed for the actual equipment corresponding to the several simulation units. If no intersection item is output between the pre-output set 1 and the pre-output set 2, it is judged that the water supply network management is abnormal, and an alarm for the water supply network management is issued.

[0025] Furthermore, the energy consumption analysis system has a reserved interface to facilitate subsequent access to other monitoring equipment and data sources.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. Through the setting of the power consumption monitoring module, the power load is monitored in real time through the power consumption monitoring module: the enterprise power grid is monitored in real time in different regions, so as to facilitate the timely discovery and location of power anomalies, and facilitate the subsequent processing of power system anomalies, ensure the stability of power supply, and provide accurate data for equipment energy efficiency analysis and optimization. The collected data is analyzed and displayed in multiple dimensions through the energy consumption analysis system, especially the analysis and comparison of power data, including the comparison of the same equipment in different time periods and different equipment in the same time period, to enhance the readability and practicality of the data. The water consumption monitoring module is used to monitor the water use of the enterprise, providing data support for water resource management and conservation. The fuel consumption monitoring module is used to monitor the fuel use of the enterprise, providing a basis for fuel consumption management and cost control.

[0028] 2. Through the setting of the energy consumption and carbon emission calculation module, the total carbon emissions generated by electricity consumption are calculated based on the electricity consumption data collected by the first-level electricity meter and the carbon emission factor of electricity. The carbon emissions generated by fuel consumption are calculated based on the fuel consumption data collected by the fuel monitor and the carbon emission factor of fuel. The regional electricity carbon emissions are obtained based on the electricity consumption data collected by the second-level electricity meter. The functional area electricity carbon emissions are obtained based on the electricity consumption data collected by the third-level electricity meter. The energy consumption data and carbon emission data are statistically analyzed to calculate the total energy consumption and carbon emissions for each day, week, month, season and year. The electricity consumption and electricity carbon emission data for different time periods in the same functional area and the same time period in different functional areas are compared.

[0029] 3. Through the setting of the simulation unit, after detecting the abnormal water supply of the tertiary water meter and the functional area, the equipment that may have abnormal hydraulic consumption is circled, and then the equipment with possible abnormal power consumption is circled through the power consumption situation. The two-phase verification obtains the specific equipment with abnormal shutdown, so as to eliminate the abnormal water supply in the functional area caused by the abnormal shutdown of the equipment, and avoid the false alarm of the abnormal water supply network management in the functional area. Only the alarm of the power abnormality in the functional area is issued, and the range of the abnormal equipment is circled for maintenance reference, which is convenient for subsequent maintenance and reduces false alarms. At the same time, when the multi-level smart electricity meter and multi-level smart water meter are not decentralized to the terminal equipment, the terminal equipment and water and electricity abnormalities are located to reduce costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the overall system of the present invention;

[0031] Figure 2 It is a schematic diagram of the simulation function area in the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1In an embodiment of the present invention, an energy management data acquisition system based on the Internet of Things includes a server, an electricity consumption monitoring module, a fuel consumption monitoring module and a hydraulic consumption monitoring module. The electricity consumption monitoring module is data-connected to the server for real-time collection of electric energy data and sending the electric energy consumption data to the server. The hydraulic consumption monitoring module is data-connected to the server for real-time collection of water consumption data and sending the water consumption data to the server. The fuel consumption monitoring module is data-connected to the server for real-time collection of fuel consumption data and sending the fuel consumption data to the server. The server is used to store consumption data. An energy consumption analysis system is provided in the server. The energy consumption analysis system is used to summarize and analyze the consumption data of electricity, hydraulic power and fuel, and calculate carbon emissions based on the energy consumption data.

[0034] Specifically, the power consumption monitoring module is used to realize real-time monitoring of power load: real-time monitoring of enterprise power grid regions is carried out to facilitate timely discovery and location of power anomalies, and subsequent processing of power system anomalies, to ensure the stability of power supply, and to provide accurate data for equipment energy efficiency analysis and optimization. The energy consumption analysis system is used to perform multi-dimensional analysis and display of collected data, especially analysis and comparison of power data, including comparison of the same equipment in different time periods and different equipment in the same time period, to enhance the readability and practicality of data. The hydraulic consumption monitoring module is used to monitor the water use of enterprises, providing data support for water resource management and conservation. The fuel consumption monitoring module is used to monitor the use of fuel by enterprises, providing a basis for fuel consumption management and cost control.

[0035] Embodiment 1

[0036] like Figure 1 As shown, in this embodiment, the power consumption monitoring module includes a multi-level smart meter, which is used to collect power consumption in real time at three levels at the power-consuming device end, and send the real-time collected power consumption data to the server. The three levels are the main power grid consumption, the sub-grid consumption and the secondary power grid consumption. The multi-level smart meter includes a first-level meter, a second-level meter and a third-level meter. The first-level meter, the second-level meter and the third-level meter are data-connected to the server. The power collection end of the first-level meter is connected to the main power grid, the power collection end of the second-level meter is connected to the sub-grid, and the power collection end of the third-level meter is connected to the secondary power grid. The multi-level smart meter has numbering information, and the secondary power grid is used to supply power to the functional area;

[0037] The hydraulic consumption monitoring module includes a multi-level intelligent water meter, which is used to collect water energy consumption in real time at three levels at the water-using equipment end, and send the real-time collected water energy consumption data to the server. The three levels are the main network management water consumption, the branch network management water consumption and the secondary network management water consumption. The multi-level intelligent water meter includes a first-level water meter, a second-level water meter and a third-level water meter. The first-level water meter, the second-level water meter and the third-level water meter are connected to the server for data connection. The water energy collection end of the first-level water meter is connected to the main network management, the water energy collection end of the second-level water meter is connected to the branch network management, and the water energy collection end of the third-level water meter is connected to the second-level network management. The multi-level intelligent water meter has numbering information. The second-level network management is used to supply water to the functional area. The fuel consumption detection module includes multiple fuel detectors. The fuel detector is used to detect the flow of the oil supply end of the oil storage area. The fuel detector sends the real-time collected fuel consumption data to the server.

[0038] In this embodiment, the multi-level smart meter uses a smart meter with an accuracy of 0.5, which is installed at the incoming end of the power line. Data is collected every 15 minutes, including voltage (collection range: 0-10kV, accuracy: 0.2%), current (collection range: 0-1000A, accuracy: 0.2%) and power factor (accuracy: 0.5%). For lines with power above 30kw, a dedicated smart meter is installed with a collection frequency of 1 minute / time. The data includes voltage (collection range: 0-400V, accuracy: 0.2%), current (collection range: 0-500A, accuracy: 0.2%) and total power (accuracy: 0.5%).

[0039] The multi-level smart water meter is a smart water meter with an accuracy of 1.0. The data collection cycle is 15 minutes / time. The data includes water consumption (collection range: 0-1000m 3 / h, accuracy: 1.0%) and water flow velocity (acquisition range: 0-10m / s, accuracy: 0.5%);

[0040] The fuel monitor has a collection frequency of 15 minutes / time, and the data include fuel consumption (collection range: 0-1000L / h, accuracy: 0.2%) and fuel temperature (collection range: -20℃-80℃, accuracy: 0.5℃); the branch power grid and branch network management correspond to different regional locations of the enterprise, and there are multiple functional areas in the area, and multiple different equipment for realizing the processing function are set in the functional area. The secondary power grid and secondary network management correspond to the functional areas.

[0041] like Figure 1 , Figure 2As shown, in this embodiment, the energy consumption analysis system includes an energy consumption and carbon emission calculation module, a fault analysis prompt module and multiple simulation functional areas. The energy consumption and carbon emission calculation module is used to calculate the carbon emissions according to the electric energy consumption and fuel consumption data. The energy consumption and carbon emission calculation module calculates the total carbon emissions generated by the electric energy consumption according to the electric energy consumption data collected by the first-level electric meter in combination with the carbon emission factor of the electric energy. The carbon emissions generated by the fuel consumption are calculated according to the fuel consumption data collected by the fuel monitor in combination with the carbon emission factor of the fuel. The electric energy carbon emissions of the region are obtained according to the electric energy consumption data collected by the second-level electric meter. The electric energy carbon emissions of the functional area are obtained according to the electric energy consumption data collected by the third-level electric meter. The energy consumption data and carbon emission data are statistically analyzed to calculate the total energy consumption and carbon emissions of the day, week, month, season and year. The electric energy consumption and electric energy carbon emission data of the same functional area in different time periods and the same time period of different functional areas are compared to calculate the growth rate and reduction rate. The energy consumption analysis system has reserved interfaces for subsequent access to other monitoring equipment and data sources.

[0042] During the specific implementation, it is convenient to automatically generate daily, weekly, monthly, quarterly and annual energy consumption statistical reports and carbon emission statistical reports according to the relevant requirements of the energy assessment of the enterprise. The server is connected to the government energy consumption online monitoring platform. The connection frequency is not less than 15 minutes / time. The data format complies with the platform specifications, and data encryption and transmission are carried out during the connection process.

[0043] Embodiment 2

[0044] like Figure 1 , Figure 2 As shown, in this embodiment, the fault analysis prompt module: is used to compare the power consumption data of the main power grid with the sum of the power consumption data of multiple sub-grids to obtain the power loss data of the main power grid, and when the power loss data of the main power grid exceeds a preset threshold, a main power grid leakage warning is issued; is used to compare the power consumption data of the sub-grid with the sum of the power consumption data of the multiple secondary grids under it to obtain the power loss data of each sub-grid, and when the power loss data of the sub-grid exceeds the preset threshold, a corresponding sub-grid leakage warning is issued; is used to compare the water consumption data of the main network manager with the sum of the water consumption data of the multiple sub-network managers to obtain the water loss data of the main network manager, and when the water loss data of the main network manager exceeds the preset threshold, a main network manager water leakage warning is issued; is used to compare the water consumption data of the sub-network manager with the sum of the water consumption data of the multiple secondary network managers under it to obtain the water loss data of each sub-network manager, and when the water loss data of the sub-network manager exceeds the preset threshold, a corresponding main sub-network manager water leakage warning is issued;

[0045] Multiple simulation function areas correspond to actual function areas one by one. The simulation function area includes multiple simulation units. The simulation units correspond to each production equipment in the function area one by one. The simulation units are provided with simulated power consumption and simulated water consumption of the corresponding production equipment. The fault analysis prompt module also includes a positioning submodule. The working steps of the positioning submodule are as follows:

[0046] Step S1: Compare the real-time water consumption data of the third-level water meter with the rated water consumption data of the corresponding functional area. When the deviation value of the two is less than the threshold, it is judged that the water consumption of the functional area is normal. When the deviation value of the two is greater than the threshold, the size of the real-time water consumption data and the rated water consumption data is further judged. If the real-time water consumption data is greater than the rated water consumption data, it is judged that the water supply network management of the functional area is abnormal, and an abnormal alarm of the water supply network management is issued. If the real-time water consumption data is less than the rated water consumption data of the functional area, enter step S2;

[0047] Step S2: Calculate the water volume difference between the rated water consumption data of the functional area and the real-time water consumption data, add up multiple simulated water consumptions for several items to form an original collection one, and compare the water volume difference with each sub-item in the original collection one one by one, and output the sub-items with deviation values ​​less than 15% to form a pre-output collection one, calculate the power difference between the rated power consumption of the functional area and the real-time power consumption of the functional area, add up multiple simulated power consumptions for several items to form an original collection two, and compare the power difference with the original collection two The sub-items in the pre-output set are compared one by one, and the sub-items with deviation values ​​less than 15% are output to form a pre-output set 2. The intersection item of the pre-output set 1 and the pre-output set 2 is output to obtain a number of simulation units covered by the intersection item. It is judged that the several simulation units are in a closed state and the water supply network management of the functional area is normal. The power alarm is performed for the actual equipment corresponding to the several simulation units. If no intersection item is output between the pre-output set 1 and the pre-output set 2, it is judged that the water supply network management is abnormal, and an alarm for the water supply network management is issued.

[0048] During specific implementation, through the setting of the simulation unit, after detecting the abnormal water supply of the tertiary water meter and the functional area, the equipment that may have abnormal hydraulic consumption is circled (i.e., pre-output collection one), and then the equipment that may have abnormal power consumption is circled through the power consumption situation (i.e., pre-output collection two). Through two-phase verification, the specific equipment with abnormal shutdown is obtained, thereby eliminating the abnormal water supply in the functional area caused by the abnormal shutdown of the equipment, avoiding the false alarm of the abnormal water supply network management in the functional area. Only the alarm of the power abnormality in the functional area is issued, and the range of the equipment with abnormality is circled for maintenance reference, which is convenient for subsequent maintenance and reduces false alarms.

[0049] In the present invention, the server is configured with an Intel Xeon E5-2620 v4 processor, 32GB of memory, and a 1TB SSD hard disk; the database uses MySQL, and the data storage capacity is not less than 10TB.

[0050] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0051] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. An energy management data acquisition system based on the Internet of Things, characterized in that: It includes a server, a power consumption monitoring module, a fuel consumption monitoring module and a hydraulic consumption monitoring module. The power consumption monitoring module is data-connected to the server to collect power data in real time and send the power consumption data to the server; The water consumption monitoring module is data-connected to the server to collect water consumption data in real time and send the water consumption data to the server; The fuel consumption monitoring module is data-connected to the server to collect fuel consumption data in real time and send the fuel consumption data to the server; The server is used to store consumption data. An energy consumption analysis system is provided in the server. The energy consumption analysis system is used to summarize and analyze the consumption data of electricity, water power and fuel, and calculate carbon emissions based on the energy consumption data.

2. According to the energy management data acquisition system based on the Internet of Things according to claim 1, it is characterized in that: The power consumption monitoring module includes a multi-level smart meter, which is used to collect real-time power consumption at three levels at the power-consuming equipment end, and send the real-time collected power consumption data to the server. The three levels are the main power grid consumption, the sub-grid consumption and the secondary power grid consumption, respectively. The multi-level smart meter includes a first-level meter, a second-level meter and a third-level meter. The first-level meter, the second-level meter and the third-level meter are data-connected to the server. The power collection end of the first-level meter is connected to the main power grid, the power collection end of the second-level meter is connected to the sub-grid, and the power collection end of the third-level meter is connected to the secondary power grid. The multi-level smart meter has numbering information, and the secondary power grid is used to supply power to the functional area.

3. According to claim 2, an energy management data acquisition system based on the Internet of Things is characterized in that: The hydraulic consumption monitoring module includes a multi-level intelligent water meter, which is used to collect water energy consumption in real time at three levels at the water-using equipment end, and send the real-time collected water energy consumption data to the server. The three levels are respectively the water consumption of the main network management, the water consumption of the branch network management and the water consumption of the secondary network management. The multi-level intelligent water meter includes a first-level water meter, a second-level water meter and a third-level water meter. The first-level water meter, the second-level water meter and the third-level water meter are data-connected to the server. The water energy collection end of the first-level water meter is connected to the main network management, the water energy collection end of the second-level water meter is connected to the branch network management, and the water energy collection end of the third-level water meter is connected to the second-level network management. The multi-level intelligent water meter has numbering information, and the second-level network management is used to supply water to the functional area.

4. According to claim 3, an energy management data acquisition system based on the Internet of Things is characterized in that: The fuel consumption detection module includes a plurality of fuel detectors, and the fuel detectors are used to detect the flow rate at the fuel supply end of the oil storage area. The fuel detectors send the fuel consumption data collected in real time to the server.

5. The energy management data acquisition system based on the Internet of Things according to claim 4 is characterized in that: The energy consumption analysis system includes an energy consumption and carbon emission calculation module, a fault analysis prompt module and multiple simulation function areas. The energy consumption and carbon emission calculation module is used to calculate the carbon emission according to the electricity consumption and fuel consumption data.

6. The energy management data acquisition system based on the Internet of Things according to claim 5 is characterized in that: The energy consumption and carbon emission calculation module calculates the total carbon emissions generated by electricity consumption based on the electricity consumption data collected by the first-level electricity meter and the carbon emission factor of electricity, calculates the carbon emissions generated by fuel consumption based on the fuel consumption data collected by the fuel monitor and the carbon emission factor of fuel, obtains the regional electricity carbon emissions based on the electricity consumption data collected by the second-level electricity meter, and obtains the electricity carbon emissions of the functional area based on the electricity consumption data collected by the third-level electricity meter; Conduct statistical analysis on energy consumption data and carbon emission data, and calculate the total energy consumption and carbon emission per day, week, month, season, and year; Compare the electricity consumption and electricity carbon emission data in different time periods in the same functional area and in the same time period in different functional areas, and calculate the growth rate and reduction rate.

7. The energy management data acquisition system based on the Internet of Things according to claim 5 is characterized in that: The fault analysis prompt module: Used to compare the power consumption data of the main power grid with the sum of the power consumption data of multiple sub-grids to obtain the power loss data of the main power grid, and when the power loss data of the main power grid exceeds a preset threshold, issue a main power grid leakage warning; Used to compare the power consumption data of a sub-grid with the sum of the power consumption data of multiple secondary grids under it, to obtain the power loss data of each sub-grid, and when the power loss data of the sub-grid exceeds a preset threshold, issue a corresponding sub-grid leakage warning; Used to compare the water consumption data of the main network management with the sum of the water consumption data of multiple sub-network managements to obtain the water loss data of the main network management. When the water loss data of the main network management exceeds a preset threshold, a water leakage warning of the main network management is issued; It is used to compare the water consumption data of a sub-network manager with the sum of the water consumption data of its multiple secondary network managers to obtain the water loss data of each sub-network manager. When the water loss data of the sub-network manager exceeds a preset threshold, a water leakage warning is issued for the corresponding main sub-network manager.

8. The energy management data acquisition system based on the Internet of Things according to claim 7 is characterized in that: The multiple simulated functional areas correspond one-to-one to the actual functional areas. The simulated functional areas include multiple simulation units. The simulation units correspond one-to-one to each production equipment in the functional areas. The simulation units are provided with simulated power consumption and simulated water consumption of the corresponding production equipment.

9. The energy management data acquisition system based on the Internet of Things according to claim 8 is characterized in that: The fault analysis prompt module also includes a positioning submodule, and the working steps of the positioning submodule are as follows: Step S1: Compare the real-time water consumption data of the third-level water meter with the rated water consumption data of the corresponding functional area. When the deviation value of the two is less than the threshold, it is judged that the water consumption of the functional area is normal. When the deviation value of the two is greater than the threshold, the size of the real-time water consumption data and the rated water consumption data is further judged. If the real-time water consumption data is greater than the rated water consumption data, it is judged that the water supply network management of the functional area is abnormal, and an abnormal alarm of the water supply network management is issued. If the real-time water consumption data is less than the rated water consumption data of the functional area, enter step S2; Step S2: Calculate the water volume difference between the rated water consumption data of the functional area and the real-time water consumption data, add up multiple simulated water consumptions for several items to form an original collection one, and compare the water volume difference with each sub-item in the original collection one one by one, and output the sub-items with deviation values ​​less than 15% to form a pre-output collection one, calculate the power difference between the rated power consumption of the functional area and the real-time power consumption of the functional area, add up multiple simulated power consumptions for several items to form an original collection two, and compare the power difference with the original collection two The sub-items in the pre-output set are compared one by one, and the sub-items with deviation values ​​less than 15% are output to form a pre-output set 2. The intersection item of the pre-output set 1 and the pre-output set 2 is output to obtain a number of simulation units covered by the intersection item. It is judged that the several simulation units are in a closed state and the water supply network management of the functional area is normal. The power alarm is performed for the actual equipment corresponding to the several simulation units. If no intersection item is output between the pre-output set 1 and the pre-output set 2, it is judged that the water supply network management is abnormal, and an alarm for the water supply network management is issued.

10. The energy management data acquisition system based on the Internet of Things according to claim 1, characterized in that: The energy consumption analysis system is provided with a reserved interface to facilitate subsequent access to other monitoring devices and data sources.

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