Intelligent engineering energy management system based on Internet of Things

Abstract

The invention relates to the technical field of energy management, and discloses an intelligent engineering energy management system based on the Internet of Things, which comprises the following modules: a data acquisition module, which deploys sensors on all equipment of a factory production line to obtain power consumption and power consumption cost of the production equipment, the data calculation unit is used for calculating and obtaining power consumption curves of a plurality of production lines of the factory according to the power consumption of the equipment obtained by the sensor, obtaining the equipment with the highest power consumption in the processing time period according to the power consumption curves of the plurality of production lines, and obtaining the equipment with the highest power consumption in the processing time period; and according to the working data of the photovoltaic power generation system, obtaining the power consumption capable of being provided by photovoltaic power generation. The power consumption of production equipment is obtained by deploying sensors on a factory production line, and the power supply mode provided by a factory for the equipment is optimized by using an energy supply adjustment module based on energy supply time in combination with the analysis of a data calculation unit on an equipment power consumption curve and photovoltaic power.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and in particular to an intelligent engineering energy management system based on the Internet of Things. Background Art

[0002] Intelligent engineering is a profound transformation in the engineering field in the era of digitalization, networking, and intelligence. Examples include smart factories, smart construction sites, and smart transportation. It leverages cutting-edge information technology to empower engineering systems with unprecedented perception, cognition, decision-making, and execution capabilities, thereby creating more efficient, reliable, flexible, and sustainable engineering solutions. This is profoundly changing the face of various industries. In order to save electricity costs, most factories currently install photovoltaic panels on their rooftops to absorb solar energy as a reserve energy source. This system then works in conjunction with the power grid to power the factory's processing equipment. However, the energy consumption of factory processing equipment varies. Some equipment with higher energy consumption consumes a lot of electricity during the production and processing process. If the grid is used directly to supply energy to these equipment, the power supply mode will be more extensive, resulting in higher production costs. To this end, the present invention proposes an intelligent engineering energy management system based on the Internet of Things to address the deficiencies in the prior art. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent engineering energy management system based on the Internet of Things The purpose of the present invention can be achieved through the following technical solutions: An intelligent engineering energy management system based on the Internet of Things, characterized by including the following modules: The data acquisition module deploys sensors on all equipment on the factory production line to obtain the power consumption and electricity costs of production equipment, as well as the operating data of the factory's photovoltaic power generation system and the energy storage system data of processing equipment; A data calculation unit is used to calculate and obtain the power consumption curves of multiple production lines in the factory based on the power consumption of the equipment obtained by the sensors, obtain the equipment with the highest power consumption during the processing period based on the power consumption curves of multiple production lines, and obtain the power consumption that can be provided by photovoltaic power generation based on the working data of the photovoltaic power generation system; The energy supply adjustment module obtains the photovoltaic power generation system's functional data based on the system's stored power and high-segment energy consumption data. It also obtains the combined energy supply time of the photovoltaic power generation system and the energy storage system based on the processing equipment's energy storage system data, and adjusts the factory production line's power supply mode. The adjustment evaluation module compares the electricity consumption data of the production equipment after the adjustment with the electricity consumption data of the production equipment before the adjustment to evaluate the adjustment effect.

[0004] Preferably, the method for obtaining the highest power consumption device during the processing time period is as follows; Obtain the power consumption curve of each device in each processing line based on the power consumption of the processing equipment obtained by the sensor; Obtain the power consumption curve of the production line based on the power consumption curve of each device; Obtain processing time periods and non-processing time periods based on the time it takes for all equipment on the production line to process each workpiece; According to the processing time period, the power consumption curve of the production line and the power consumption curve of each device are intercepted to obtain the power consumption curve segment of the equipment during the processing time and the power consumption curve segment of the production line during the processing time; Compare the power consumption curve segments of the equipment during processing time with the power consumption curve segments of the production line during processing time, arrange the processing equipment from high to low according to power consumption, and obtain the equipment with the highest power consumption during the processing time period.

[0005] Preferably, the energy supply adjustment module works as follows: Obtain the power consumption of the equipment with the highest power consumption during the processing period; Obtain the actual operating power of the processing equipment based on the power consumption of the equipment with the highest power consumption during the processing period and the equipment processing time: According to the working data of the photovoltaic power generation system and the actual operating power of the processing equipment, the time during which the photovoltaic power generation system can supply energy to the processing equipment is obtained; Obtain the combined energy supply time of the photovoltaic power generation system and the energy storage system based on the data of the processing equipment energy storage system; The power supply mode of the processing equipment is adjusted according to the time that the photovoltaic power generation system can supply energy to the processing equipment and the time it takes to obtain the combined energy supply of the photovoltaic power generation system and the energy storage system.

[0006] Preferably, the photovoltaic power generation system can provide energy for the processing equipment for a period of time according to the following formula:

[0007] Among them, the actual operating power of the processing equipment, The power that a photovoltaic system can provide is a curve that changes over time. The time when production and processing starts. Production and processing end time, Indicates that the smaller value of PV power and device power is used to ensure that the calculation is based on the actual available power when PV power is insufficient.

[0008] Preferably, the combined energy supply time of the photovoltaic power generation system and the energy storage system is obtained by: Obtain the state of charge of the energy storage system of the processing equipment during discharge:

[0009] Get the state of charge of the energy storage system of the processing equipment during charging:

[0010] Photovoltaic power generation system and energy storage system combined energy supply time:

[0011] in, for The energy storage charge status of the equipment at all times, Real-time discharge power for the energy storage system of processing equipment, is the capacity of the energy storage system for processing equipment, is the discharge efficiency of the equipment energy storage system, For device charging efficiency, When the state of charge of the energy storage system of the instant processing equipment drops to the minimum safe state of charge, the equipment stops discharging, and the remaining time period is calculated according to the photovoltaic power supply capacity alone.

[0012] Preferably, the adjusting the power supply mode of the processing equipment includes: If the independent or combined energy supply time of the photovoltaic power generation system cannot meet the total working hours of the processing equipment, it should be connected to the grid in advance to avoid equipment shutdown due to power outages affecting production; If the independent energy supply time or the combined energy supply time of the photovoltaic power generation system meets the total working time of the processing equipment, the use of the power grid will be reduced; If the combined energy supply time is significantly longer than the independent energy supply time of photovoltaic power generation, and the energy storage capacity is sufficient, some high-energy-consuming processes will be arranged during the low period of photovoltaic power generation and supplied by the energy storage system. If the energy storage capacity is insufficient, the photovoltaic power generation system will be used for power supply first, and then the power grid will be used for power supply.

[0013] Preferably, the adjustment and evaluation module works as follows: Compare the pre-adjustment and historical data with the adjusted data to generate an evaluation report.

[0014] Beneficial effects of the present invention: 1. The present invention deploys sensors on the factory production line to obtain the power consumption of production equipment, combines the data calculation unit to analyze the equipment power consumption curve and photovoltaic power, uses the energy supply adjustment module to optimize the power supply mode provided by the factory to the equipment based on the energy supply time, and forms a strategy closed loop by adjusting the evaluation module, thereby realizing the precise scheduling of photovoltaic power generation to give priority to high-energy-consuming equipment, achieving the effect of improving photovoltaic utilization rate, reducing grid dependence and electricity costs, and solving the problems of low photovoltaic energy utilization rate, extensive equipment power supply mode, and high energy cost in traditional manufacturing plants.

[0015] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 This is a module framework diagram of an intelligent engineering energy management system based on the Internet of Things in the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0019] See also Figure 1 As shown, the present invention is an intelligent engineering energy management system based on the Internet of Things, characterized by including the following modules: The data acquisition module deploys sensors on all equipment on the factory production line to obtain the power consumption and electricity costs of production equipment, as well as the operating data of the factory's photovoltaic power generation system and the energy storage system data of processing equipment; A data calculation unit is used to calculate and obtain the power consumption curves of multiple production lines in the factory based on the power consumption of the equipment obtained by the sensors, obtain the equipment with the highest power consumption during the processing period based on the power consumption curves of multiple production lines, and obtain the power consumption that can be provided by photovoltaic power generation based on the working data of the photovoltaic power generation system; The energy supply adjustment module obtains the photovoltaic power generation system's functional data based on the system's stored power and high-segment energy consumption data. It also obtains the combined energy supply time of the photovoltaic power generation system and the energy storage system based on the processing equipment's energy storage system data, and adjusts the factory production line's power supply mode. The adjustment evaluation module compares the electricity consumption data of the production equipment after the adjustment with the electricity consumption data of the production equipment before the adjustment to evaluate the adjustment effect.

[0020] Specifically, high-precision Hall current sensors and three-phase smart meters are installed at the incoming line end of the distribution box of each equipment on the factory production line, such as compressors, heating furnaces, and motors. The rated current of the equipment is adapted through the current transformer ratio to capture the moment of equipment startup.

[0021] In photovoltaic power generation systems, data collectors are also deployed to collect parameters such as DC voltage, DC current, AC output power, and daily power generation in real time; The energy storage system integrates a battery management system to collect battery cell voltage, temperature, SOC, and charge and discharge power; and all sensors are connected to the edge gateway to upload relevant data from factory processing equipment and photovoltaic power generation systems in real time.

[0022] The data calculation unit generates a production line power consumption curve and an equipment power consumption curve based on the real-time collected equipment electrical parameters. The equipment with the highest power consumption during the processing process is obtained based on the highest power consumption value during the processing time period in the production line power consumption curve. And according to the installed capacity of the photovoltaic power generation system and the peak sunshine hours, and obtaining the efficiency of photovoltaic panels, inverters, cables and other components, calculate the daily power generation of the photovoltaic power generation system; The energy supply adjustment module is used to compare the actual power consumption of the equipment with the photovoltaic power generation system and the equipment energy storage system, match the photovoltaic power generation system and the equipment energy storage system with the actual power consumption and actual operating power of the actual processing equipment, obtain the corresponding energy supply time, and adjust the energy supply mode of the processing equipment according to the energy supply time, effectively saving the factory's processing costs.

[0023] After adjusting the energy supply method of the processing equipment, the equipment usage cost after the adjustment is compared with the usage cost before the adjustment to evaluate whether the adjustment method is appropriate.

[0024] The method for obtaining the device with the highest power consumption during the processing time period is as follows: Obtain the power consumption curve of each device in each processing line based on the power consumption of the processing equipment obtained by the sensor; Obtain the power consumption curve of the production line based on the power consumption curve of each device; Obtain processing time periods and non-processing time periods based on the time it takes for all equipment on the production line to process each workpiece; According to the processing time period, the power consumption curve of the production line and the power consumption curve of each device are intercepted to obtain the power consumption curve segment of the equipment during the processing time and the power consumption curve segment of the production line during the processing time; Compare the power consumption curve segments of the equipment during processing time with the power consumption curve segments of the production line during processing time, arrange the processing equipment from high to low according to power consumption, and obtain the equipment with the highest power consumption during the processing time period.

[0025] Specifically, based on the power consumption data obtained by each sensor, a power consumption curve of the power-consuming equipment is drawn. According to the time when the processing equipment processes the workpiece, the time when the processing equipment processes the workpiece is marked as a processing time period, and the time when the processing equipment does not process the workpiece is marked as a non-processing time period; According to the plurality of processing time periods, the curve of the processing time period is intercepted from the power consumption curve of the power-consuming equipment, thereby obtaining the power consumption of the processing equipment in the processing time period, that is, obtaining the power consumption curve of the equipment in the processing time period; The time segment of a production line processing a workpiece is obtained by superimposing the processing time segments of multiple devices, and the power consumption curve segment of the production line during the processing time segment is intercepted from the power consumption curve of the production line; Compare the power consumption curve of the production line during processing time with the power consumption curve of the equipment during processing time. When the highest value of the power consumption curve of the equipment during processing time is equal to the highest value of the power consumption curve of the production line, the equipment is the equipment with the highest power consumption during the processing time period. The working process of the energy supply adjustment module is as follows: Obtain the power consumption of the equipment with the highest power consumption during the processing period; Obtain the actual operating power of the processing equipment based on the power consumption of the equipment with the highest power consumption during the processing period and the equipment processing time: According to the working data of the photovoltaic power generation system and the actual operating power of the processing equipment, the time during which the photovoltaic power generation system can supply energy to the processing equipment is obtained; Obtain the combined energy supply time of the photovoltaic power generation system and the energy storage system based on the data of the processing equipment energy storage system; The power supply mode of the processing equipment is adjusted according to the time that the photovoltaic power generation system can supply energy to the processing equipment and the time it takes to obtain the combined energy supply of the photovoltaic power generation system and the energy storage system.

[0026] Specifically, the actual operating power of the processing equipment during the processing time is obtained based on the power consumption of the equipment, and the daily power generation of the photovoltaic power generation system obtained by the data calculation module is used to obtain the time during which the photovoltaic system can supply energy to the processing equipment; According to the energy storage system of the processing equipment, the stored charge of the energy storage system is obtained, and based on the stored charge and the power consumption of the storage system, the energy that the energy storage system can provide for the processing equipment can be obtained; Obtaining the total power consumption that the photovoltaic power generation system and the energy storage system can provide for the processing equipment means obtaining the power supply time that the photovoltaic power generation system and the energy storage system can provide for the processing equipment.

[0027] The photovoltaic power generation system can provide energy for the processing equipment according to the following formula:

[0028] Among them, the actual operating power of the processing equipment, The power that a photovoltaic system can provide is a curve that changes over time. The time when production and processing starts. The time when production and processing are completed. Indicates that the smaller value of PV power and device power is used to ensure that the calculation is based on the actual available power when PV power is insufficient.

[0029] Specifically, Indicates processing time period The actual energy that the photovoltaic system can provide is Greater than When Calculate, when Less than When the actual power is calculated, and Compare and obtain the time that the photovoltaic power generation system can continuously supply energy to the processing equipment; The effective power supply energy that the photovoltaic system can actually provide during the processing period is obtained by integral operation, where the minimum value function ensures that when the photovoltaic power Greater than the device power According to the equipment power Calculate the energy, if insufficient, integrate the actual photovoltaic power , to accurately reflect the energy supply capacity of the photovoltaic system; divide the integrated energy value by the equipment power , and obtain the duration of continuous power supply by photovoltaics.

[0030] The combined energy supply time of the photovoltaic power generation system and the energy storage system is obtained through the following methods: Obtain the state of charge of the energy storage system of the processing equipment during discharge:

[0031] Get the state of charge of the energy storage system of the processing equipment during charging:

[0032] Photovoltaic power generation system and energy storage system combined energy supply time:

[0033] in, for The energy storage charge status of the equipment at all times, Real-time discharge power for the energy storage system of processing equipment, is the capacity of the energy storage system for processing equipment, is the discharge efficiency of the equipment energy storage system, For device charging efficiency, When the state of charge of the energy storage system of the instant processing equipment drops to the minimum safe state of charge, the equipment stops discharging, and the remaining time period is calculated according to the photovoltaic power supply capacity alone.

[0034] Specifically, the acquisition of the joint energy supply time of the photovoltaic power generation system and the energy storage system requires the dynamic integration of the energy supply capabilities of the two. First, the energy storage charge state is calculated in real time. To reflect the remaining energy storage capacity and the state of charge during discharge Press the previous moment Subtract the discharge power at the previous moment The product of the time and then divided by the discharge efficiency and energy storage capacity When charging, the state of charge at the previous moment is used. Add the charging power, duration and charging efficiency of the previous moment The product of the energy storage capacity is divided by Calculation, where the discharge efficiency and charging efficiency take into account energy loss, and the state of charge It needs to be maintained above the minimum safety threshold to avoid over-discharge; Then calculate the combined energy supply power, which is the sum of the photovoltaic real-time power and the energy storage discharge power (0 during charging). , and then by combining the power supply during the processing period The actual operating power of the equipment Take the smaller value and integrate it to get the total energy of the combined energy supply, and divide the total energy by the equipment power That is, the combined energy supply time; During the energy supply process, it is necessary to obtain the state of charge in real time Combined energy supply time, when the photovoltaic power fluctuates or the equipment power changes, real-time adjustment is made. If the power is insufficient, it needs to be supplemented by the power of the grid, so as to accurately evaluate the combined energy supply effect of the photovoltaic power generation system and the energy storage system, thereby optimizing the power supply mode and achieving efficient energy utilization and cost control; The adjusting of the power supply mode of the processing equipment includes: If the independent or combined energy supply time of the photovoltaic power generation system cannot meet the total working hours of the processing equipment, it should be connected to the grid in advance to avoid equipment shutdown due to power outages affecting production; If the independent energy supply time or the combined energy supply time of the photovoltaic power generation system meets the total working time of the processing equipment, the use of the power grid will be reduced; If the combined energy supply time is significantly longer than the independent energy supply time of photovoltaic power generation, and the energy storage capacity is sufficient, some high-energy-consuming processes will be arranged during the low period of photovoltaic power generation and supplied by the energy storage system. If the energy storage capacity is insufficient, the photovoltaic power generation system will be used for power supply first, and then the power grid will be used for power supply.

[0035] Specifically, when the weather conditions prevent the photovoltaic power generation system from obtaining electricity, the photovoltaic power generation system cannot supply energy to the equipment. If both the photovoltaic power generation system supply time and the combined power supply time cannot meet the total processing time of the equipment, it is necessary to connect to the grid power in advance to power the processing equipment. If the photovoltaic power generation system is only needed to provide energy for the processing equipment or the combined power supply can meet the needs of the processing equipment, the use of grid electricity can be reduced; When the combined power supply time of the PV system and energy storage system is much longer than the PV power generation time, the factory working hours can be appropriately adjusted to design the processing time period of the equipment with the highest power consumption to be designed during the off-peak period of the PV power generation system. At this time, the power stored in the energy storage system can be used directly to power the processing equipment. If the energy storage system does not store enough electricity, the photovoltaic power generation system will be used first, and then the power grid will be connected to the power supply.

[0036] The working process of the adjustment assessment module is as follows: Obtain equipment power consumption data, photovoltaic power supply, energy storage status, etc. before and after adjustment; Compare the pre-adjustment and historical data with the adjusted data to generate an evaluation report.

[0037] Specifically, the electricity consumption curve and electricity cost of the production line before adjustment are obtained, and the electricity consumption curve and electricity cost of the production line after adjustment are obtained, and the data before and after adjustment are compared to obtain the cost reduction efficiency, and then generate an evaluation report.

[0038] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. An intelligent engineering energy management system based on the Internet of Things, characterized in that: Includes the following modules: The data acquisition module deploys sensors on all equipment on the factory production line to obtain the power consumption and electricity costs of production equipment, as well as the operating data of the factory's photovoltaic power generation system and the energy storage system data of processing equipment; A data calculation unit is used to calculate and obtain the power consumption curves of multiple production lines in the factory based on the power consumption of the equipment obtained by the sensors, obtain the equipment with the highest power consumption during the processing period based on the power consumption curves of multiple production lines, and obtain the power consumption that can be provided by photovoltaic power generation based on the working data of the photovoltaic power generation system; The energy supply adjustment module obtains the photovoltaic power generation system's functional data based on the system's stored power and high-segment energy consumption data. It also obtains the combined energy supply time of the photovoltaic power generation system and the energy storage system based on the processing equipment's energy storage system data, and adjusts the factory production line's power supply mode. The adjustment evaluation module compares the electricity consumption data of the production equipment after the adjustment with the electricity consumption data of the production equipment before the adjustment to evaluate the adjustment effect.

2. The intelligent engineering energy management system based on the Internet of Things according to claim 1 is characterized in that: The method for obtaining the device with the highest power consumption during the processing time period is as follows: Obtain the power consumption curve of each device in each processing line based on the power consumption of the processing equipment obtained by the sensor; Obtain the power consumption curve of the production line based on the power consumption curve of each device; Obtain processing time periods and non-processing time periods based on the time it takes for all equipment on the production line to process each workpiece; According to the processing time period, the power consumption curve of the production line and the power consumption curve of each device are intercepted to obtain the power consumption curve segment of the equipment during the processing time and the power consumption curve segment of the production line during the processing time; Compare the power consumption curve segments of the equipment during processing time with the power consumption curve segments of the production line during processing time, arrange the processing equipment from high to low according to power consumption, and obtain the equipment with the highest power consumption during the processing time period.

3. The intelligent engineering energy management system based on the Internet of Things according to claim 1 is characterized in that: The working process of the energy supply adjustment module is as follows: Obtain the power consumption of the equipment with the highest power consumption during the processing period; Obtain the actual operating power of the processing equipment based on the power consumption of the equipment with the highest power consumption during the processing period and the equipment processing time: According to the working data of the photovoltaic power generation system and the actual operating power of the processing equipment, the time during which the photovoltaic power generation system can supply energy to the processing equipment is obtained; Obtain the combined energy supply time of the photovoltaic power generation system and the energy storage system based on the data of the processing equipment energy storage system; The power supply mode of the processing equipment is adjusted according to the time that the photovoltaic power generation system can supply energy to the processing equipment and the time it takes to obtain the combined energy supply of the photovoltaic power generation system and the energy storage system.

4. The intelligent engineering energy management system based on the Internet of Things according to claim 3 is characterized in that: The photovoltaic power generation system can provide energy for the processing equipment according to the following formula: ； Among them, the actual operating power of the processing equipment, The power that a photovoltaic system can provide is a curve that changes over time. The time when production and processing starts. Production and processing end time, Indicates that the smaller value of PV power and device power is used to ensure that the calculation is based on the actual available power when PV power is insufficient.

5. The intelligent engineering energy management system based on the Internet of Things according to claim 4 is characterized in that: The combined energy supply time of the photovoltaic power generation system and the energy storage system is obtained through the following methods: Obtain the state of charge of the energy storage system of the processing equipment during discharge: ； Get the state of charge of the energy storage system of the processing equipment during charging: ； Photovoltaic power generation system and energy storage system combined energy supply time: ； in, for The energy storage charge status of the equipment at all times, Real-time discharge power for the energy storage system of processing equipment, is the capacity of the energy storage system for processing equipment, is the discharge efficiency of the equipment energy storage system, For device charging efficiency, State of charge of the energy storage system of the processing equipment at all times When the charge level drops to the lowest safe state, the device stops discharging, and the remaining time period is calculated based on the photovoltaic power supply capacity alone.

6. The intelligent engineering energy management system based on the Internet of Things according to claim 3 is characterized in that: The adjusting of the power supply mode of the processing equipment includes: If the independent or combined energy supply time of the photovoltaic power generation system cannot meet the total working hours of the processing equipment, it should be connected to the grid in advance to avoid equipment shutdown due to power outages affecting production; If the independent energy supply time or the combined energy supply time of the photovoltaic power generation system meets the total working time of the processing equipment, the use of the power grid will be reduced; If the combined energy supply time is significantly longer than the independent energy supply time of photovoltaic power generation, and the energy storage capacity is sufficient, some high-energy-consuming processes will be arranged during the low period of photovoltaic power generation and supplied by the energy storage system. If the energy storage capacity is insufficient, the photovoltaic power generation system will be used for power supply first, and then the power grid will be used for power supply.

7. The intelligent engineering energy management system based on the Internet of Things according to claim 1 is characterized in that: The working process of the adjustment assessment module is as follows: Obtain equipment power consumption data, photovoltaic power supply, energy storage status, etc. before and after adjustment; Compare the pre-adjustment and historical data with the adjusted data to generate an evaluation report.

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