Industrial energy consumption online monitoring system based on Internet of Things

Abstract

The invention relates to the field of energy consumption monitoring, in particular to an industrial energy consumption online monitoring system based on the Internet of Things, and aims to solve the problem that a key energy consumption unit cannot be assisted in scientifically reducing energy consumption due to the fact that the refining degree of energy consumption monitoring of the key energy consumption unit is insufficient. Comprising a history comparison unit, an energy consumption statistical unit, an energy consumption state analysis unit, an energy consumption distribution unit and an abnormal addressing detection unit. Operation of the industrial equipment is divided into multiple states, the energy consumption distribution condition of the industrial equipment is confirmed by combining comprehensive analysis of the multiple states, the energy consumption distribution condition of the industrial equipment is judged, the situation that energy consumption is too high during starting, stopping and no-load operation of the industrial equipment is avoided, and when the energy consumption amount is abnormal, the energy consumption of the industrial equipment is reduced. Through specific analysis of start-stop energy consumption and no-load energy consumption of the energy consumption equipment, addressing is carried out on reasons of energy consumption abnormity, maintenance and adjustment of the energy consumption abnormity by management personnel are facilitated, and therefore the energy utilization rate of the energy consumption equipment is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of energy consumption monitoring, and in particular to an industrial energy consumption online monitoring system based on the Internet of Things. Background Art

[0002] Key energy-consuming enterprises refer to those enterprises with large energy consumption and high requirements for energy utilization efficiency. These enterprises usually include enterprises in high-energy-consuming industries such as steel, cement, and electrolytic aluminum. Since enterprises need to consume a very large amount of energy during production, these enterprises need to be strictly checked and managed in terms of energy consumption, energy consumption structure, green electricity and green certificate trading, high-energy-consuming products and production equipment, and key energy-consuming equipment. Therefore, a complete industrial energy consumption monitoring system is needed to monitor the energy consumption of key energy-consuming enterprises;

[0003] At present, the existing industrial energy consumption monitoring systems focus on the amount of energy consumption of enterprises during monitoring. For example, the existing patent CN102915000A discloses a technical solution, which realizes accurate monitoring of industrial energy consumption through perfect energy consumption monitoring means. However, the effect is still limited to the monitoring of energy consumption, which will lead to the conflict between the energy consumption control of enterprises and the production capacity, resulting in the monitoring of energy consumption can only be used to limit the overall energy consumption of key energy-consuming units, but can not be used to conduct a specific and detailed analysis of the energy consumption status of key energy-consuming units, which makes it impossible to assist key energy-consuming units to reduce energy consumption without affecting production capacity, which is not conducive to the synchronous development of energy conservation and emission reduction and increasing production capacity;

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The present invention divides the operation of industrial equipment into multiple states, and then combines the comprehensive analysis of multiple states to confirm the energy consumption distribution of industrial equipment and make a judgment on the energy consumption distribution of industrial equipment. When the energy consumption is abnormal, the start-stop energy consumption and no-load energy consumption of the energy-consuming equipment are specifically analyzed to address the cause of the abnormal energy consumption, which is beneficial for management personnel to perform maintenance and adjustment on the abnormal energy consumption, avoid excessive energy consumption when the industrial equipment is started and stopped and when running at no-load, thereby ensuring the energy utilization rate of the energy-consuming equipment, solving the problem that the energy consumption monitoring of key energy-consuming units is not detailed enough, resulting in the inability to assist key energy-consuming units to reduce energy consumption scientifically, and proposing an industrial energy consumption online monitoring system based on the Internet of Things.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The industrial energy consumption online monitoring system based on the Internet of Things includes an energy consumption status analysis unit, which monitors industrial energy-consuming equipment to obtain the current energy consumption efficiency of the industrial energy-consuming equipment;

[0008] An energy consumption distribution unit, which divides the states of industrial energy-consuming equipment and analyzes the states of the energy-consuming equipment separately to obtain energy consumption distribution ratios of the industrial energy-consuming equipment;

[0009] An energy consumption statistics unit, wherein the energy consumption statistics unit obtains the energy consumption distribution ratio through the energy consumption distribution unit, and analyzes the total energy consumption and operation ratio of the industrial energy-consuming equipment according to the energy consumption distribution ratio;

[0010] A historical comparison unit, wherein the historical comparison unit collects statistics on the historical energy consumption data of the industrial energy-consuming equipment through the energy consumption statistics unit, generates energy consumption history data according to the statistical results, compares the operation ratio with the energy consumption history data, and generates an energy consumption abnormality signal according to the comparison result;

[0011] The energy consumption statistics unit acquires the startup energy consumption and the startup equivalent time, and analyzes the no-load state after acquisition to generate a closable no-load area and a non-closable no-load area;

[0012] The abnormal addressing detection unit obtains the closable no-load area and the non-closable no-load area through the energy consumption statistics unit, analyzes them, and generates an energy consumption equipment operation evaluation report.

[0013] As a preferred embodiment of the present invention, the energy consumption status analysis unit collects input electrical parameters of industrial energy-consuming equipment, calculates according to the input current and voltage, obtains equipment power, and obtains real-time energy consumption according to the equipment power;

[0014] The energy consumption state analysis unit obtains the load condition on the current device, simulates the load condition through a preset model algorithm, obtains the minimum energy consumption required to complete the current load condition, and records the minimum energy consumption as the load energy consumption;

[0015] The energy consumption status analysis unit obtains the current real-time energy consumption of the industrial energy-consuming equipment, and at the same time obtains the load energy consumption of the current industrial energy-consuming equipment, and records the ratio of the load energy consumption to the real-time energy consumption as the energy consumption efficiency;

[0016] The energy consumption status analysis unit compares the energy consumption efficiency with a preset energy consumption efficiency threshold, and generates a low efficiency signal if the energy consumption efficiency is less than the preset energy consumption efficiency threshold, otherwise generates a high efficiency signal.

[0017] As a preferred embodiment of the present invention, the energy consumption distribution unit divides the operating state of the energy-consuming equipment into a high energy consumption state, a startup state and a no-load state. The energy consumption distribution unit counts the duration of the high energy consumption state, the startup state and the no-load state in one cycle, and obtains the energy consumption consumed by each state;

[0018] The energy consumption distribution unit calculates the proportion of energy consumption in each state in the total energy consumption, and records them as operation proportion, startup proportion and no-load proportion respectively;

[0019] The energy consumption distribution unit records the duration of the high energy consumption state and the no-load state as the operating time and the no-load time respectively, counts the number of startup times of the energy-consuming equipment, and obtains the single startup time according to the duration of the startup state of the energy-consuming equipment and the number of startup times.

[0020] As a preferred implementation manner of the present invention, the energy consumption statistics unit compares the operation proportion with a set proportion threshold, and generates an operation energy consumption deficiency signal if the operation proportion is less than the set proportion threshold.

[0021] As a preferred implementation manner of the present invention, the energy consumption statistics unit sums the startup proportion and the no-load proportion to obtain the non-operation proportion, calculates the ratio of the operation proportion and the non-operation proportion, and obtains the operation ratio;

[0022] The history comparison unit obtains multiple groups of historical operation ratios in the historical data, and sorts the historical operation ratios in order of size.

[0023] As a preferred embodiment of the present invention, the historical comparison unit determines the position of the operating ratio in the multiple groups of operating ratios in the historical data, and obtains the current position percentage W. Where w1 is the current position sequence of the running ratio, and w0 is the total number of running ratios in the historical data;

[0024] The history comparison unit compares the current position percentage W with the set position threshold, and generates an abnormal energy consumption signal if the current position percentage W is less than the set position threshold, and generates a normal energy consumption signal if the current position percentage is not less than the set position threshold.

[0025] As a preferred implementation of the present invention, the energy consumption statistics unit calculates a ratio according to the startup proportion and the startup times, obtains the energy consumption of each startup, and records it as startup energy consumption;

[0026] The energy consumption statistics unit calculates a ratio based on the no-load proportion and the no-load duration to obtain the energy consumption speed in the no-load state, and calculates the ratio of the startup energy consumption to the energy consumption speed in the no-load state to obtain the startup equivalent time. If the duration of a single no-load is greater than the startup equivalent time, it is recorded as a no-load area that can be closed. If the duration of a single no-load is not greater than the startup equivalent time, it is recorded as a no-load area that cannot be closed.

[0027] As a preferred embodiment of the present invention, the abnormal address detection unit counts the closable no-load areas, and if the number of closable no-load areas is greater than the set threshold, an insufficient closing number signal is generated, and the abnormal address detection unit counts the non-closable no-load areas, and if the number of non-closable no-load areas is greater than the set threshold, an excessive no-load time signal is generated, and the insufficient closing number signal, the excessive no-load time signal, the closable no-load areas and the non-closable no-load areas are combined to form an energy-consuming equipment operation evaluation report, which is displayed on a display device.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. In the present invention, in the process of monitoring industrial energy consumption, the energy consumption of industrial equipment during operation is analyzed, so that the operation of industrial equipment is divided into multiple states, and then the comprehensive analysis of multiple states is combined to confirm the energy consumption distribution of industrial equipment, and make a judgment on the energy consumption distribution of industrial equipment, so as to ensure the energy consumption ratio of industrial equipment when used for production, avoid excessive energy consumption when industrial equipment is started and stopped and runs at no load, so as to ensure the energy utilization rate of energy-consuming equipment.

[0030] 2. In the present invention, when monitoring the energy consumption of key energy-consuming units, the current operating data and historical operating data of the energy-consuming equipment are compared, so that the historical energy consumption performance of the energy-consuming equipment is used as a reference to determine whether the current energy consumption of the energy-consuming equipment is normal. When the energy consumption is abnormal, the start-stop energy consumption and no-load energy consumption of the energy-consuming equipment are specifically analyzed to address the cause of the abnormal energy consumption, which is beneficial for management personnel to perform maintenance and adjustments on the abnormal energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0032] Figure 1 is a system block diagram of the present invention;

[0033] Figure 2 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0034] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0035] Embodiment 1:

[0036] See also Figure 1 - Figure 2 As shown, the industrial energy consumption online monitoring system based on the Internet of Things includes a history comparison unit, an energy consumption statistics unit, an energy consumption status analysis unit, an energy consumption distribution unit and an abnormal addressing detection unit;

[0037] The energy consumption status analysis unit performs online monitoring on the industrial energy-consuming equipment, thereby obtaining the current real-time energy consumption of the industrial energy-consuming equipment. At the same time, the energy consumption status analysis unit obtains the load energy consumption of the current industrial energy-consuming equipment, and records the ratio of the load energy consumption to the real-time energy consumption as the energy consumption efficiency;

[0038] The method for the energy consumption status analysis unit to obtain the current real-time energy consumption is as follows: the energy consumption status analysis unit collects the input electrical parameters of the industrial energy-consuming equipment, calculates according to the input current and voltage, obtains the equipment power, and obtains the real-time energy consumption according to the equipment power;

[0039] The method for the energy consumption state analysis unit to obtain the load energy consumption is: obtaining the load condition on the current device, simulating according to the load condition through a preset model algorithm, obtaining the minimum energy consumption required to complete the current load condition, and recording the minimum energy consumption as the load energy consumption;

[0040] The energy consumption status analysis unit compares the energy consumption efficiency with a preset energy consumption efficiency threshold. If the energy consumption efficiency is less than the preset energy consumption efficiency threshold, a low efficiency signal is generated. If the energy consumption efficiency is greater than or equal to the preset energy consumption efficiency threshold, a high efficiency signal is generated.

[0041] Embodiment 2:

[0042] See also Figure 1 - Figure 2 As shown, the energy consumption distribution unit divides the operating states of the energy-consuming equipment into three types, namely, high energy consumption state, startup state and no-load state. The energy consumption distribution unit sets a period as the detection time, and counts the duration of the high energy consumption state, the startup state and the no-load state respectively during the detection time. At the same time, the energy consumption consumed in the high energy consumption state, the energy consumption consumed in the startup state and the energy consumption consumed in the no-load state are obtained during the detection time for statistics;

[0043] The energy consumption distribution unit calculates the proportion of energy consumed in the high energy consumption state in the total energy consumption, the proportion of energy consumed in the startup state in the total energy consumption, and the proportion of energy consumed in the no-load state in the total energy consumption within a detection time period, and records them as the operation proportion, startup proportion, and no-load proportion respectively;

[0044] The energy consumption distribution unit records the duration of the energy-consuming equipment in the high energy consumption state as the operating time, and records the duration of the energy-consuming equipment in the no-load state as the no-load time. The energy consumption distribution unit counts the number of startups of the energy-consuming equipment, and obtains the single startup time according to the duration of the startup state of the energy-consuming equipment and the number of startups.

[0045] The energy consumption statistics unit compares the operation ratio with the set ratio threshold. If the operation ratio is less than the set ratio threshold, an operation energy consumption shortage signal is generated. If the operation ratio is not less than the set fixed ratio threshold, a normal operation energy consumption signal is generated.

[0046] The energy consumption statistics unit sums the startup ratio and the no-load ratio to obtain the non-operation ratio, calculates the ratio of the operation ratio to the non-operation ratio to obtain the operation ratio, and records the operation ratio;

[0047] The historical comparison unit obtains multiple groups of historical operation ratios in the historical data, and sorts the historical operation ratios in order of size;

[0048] The historical comparison unit compares the operating ratio with multiple groups of operating ratios in the historical data, determines the position of the operating ratio in the multiple groups of operating ratios in the historical data, and obtains the current position percentage W. Where w1 is the current position sequence of the running ratio, and w0 is the total number of running ratios in the historical data;

[0049] The history comparison unit compares the current position percentage W with the set position threshold. If the current position percentage W is less than the set position threshold, an energy consumption abnormality signal is generated. If the current position percentage is not less than the set position threshold, an energy consumption normal signal is generated.

[0050] After generating the abnormal energy consumption signal, the historical comparison unit sends the abnormal energy consumption signal to the display device through the network. The display device issues an alarm for the abnormal energy consumption signal. Meanwhile, the historical comparison unit sends the abnormal energy consumption signal to the abnormal addressing detection unit.

[0051] Embodiment 2:

[0052] See also Figure 1 - Figure 2As shown, the energy consumption statistics unit obtains the operation proportion and operation duration, the startup proportion and startup times, and the no-load proportion and no-load duration through the energy consumption distribution unit. The energy consumption statistics unit calculates the ratio according to the startup proportion and startup times, obtains the energy consumption of each startup, and records it as startup energy consumption;

[0053] The energy consumption statistics unit calculates the ratio according to the no-load ratio and the no-load duration to obtain the energy consumption speed under the no-load state, and calculates the ratio of the startup energy consumption to the energy consumption speed under the no-load state to obtain the startup equivalent time;

[0054] The energy consumption statistics unit selects the duration of a single no-load period, and if the duration of a single no-load period is greater than the equivalent startup time, it is recorded as a no-load area that can be closed; if the duration of a single no-load period is not greater than the equivalent startup time, it is recorded as a no-load area that cannot be closed;

[0055] The abnormal addressing detection unit obtains the closable no-load area and the non-closable no-load area, and sends the closable no-load area and the non-closable no-load area to the display device through the network for display;

[0056] At the same time, the abnormal addressing detection unit counts the closable idle areas. If the number of closable idle areas is greater than the set threshold, an insufficient closing number signal is generated. The abnormal addressing detection unit counts the non-closable idle areas. If the number of non-closable idle areas is greater than the set threshold, an excessive idle time signal is generated. The abnormal addressing detection unit sends the insufficient closing number signal and the excessive idle time signal to the display device through the network;

[0057] The display device combines the signal of insufficient shutdown times, the signal of excessive idle time, the idle area that can be closed, and the idle area that cannot be closed to form an energy-consuming equipment operation evaluation report, and displays it on the display device.

[0058] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The online monitoring system of industrial energy consumption based on the Internet of Things is characterized by: It includes an energy consumption status analysis unit, which monitors industrial energy-consuming equipment to obtain the current energy consumption efficiency of the industrial energy-consuming equipment; An energy consumption distribution unit, which divides the states of industrial energy-consuming equipment and analyzes the states of the energy-consuming equipment separately to obtain energy consumption distribution ratios of the industrial energy-consuming equipment; An energy consumption statistics unit, wherein the energy consumption statistics unit obtains the energy consumption distribution ratio through the energy consumption distribution unit, and analyzes the total energy consumption and operation ratio of the industrial energy-consuming equipment according to the energy consumption distribution ratio; A historical comparison unit, wherein the historical comparison unit collects statistics on the historical energy consumption data of the industrial energy-consuming equipment through the energy consumption statistics unit, generates energy consumption history data according to the statistical results, compares the operation ratio with the energy consumption history data, and generates an energy consumption abnormality signal according to the comparison result; The energy consumption statistics unit acquires the startup energy consumption and the startup equivalent time, and analyzes the no-load state after acquisition to generate a closable no-load area and a non-closable no-load area; The abnormal addressing detection unit obtains the closable no-load area and the non-closable no-load area through the energy consumption statistics unit, analyzes them, and generates an energy consumption equipment operation evaluation report.

2. The industrial energy consumption online monitoring system based on the Internet of Things according to claim 1 is characterized in that: The energy consumption status analysis unit collects input electrical parameters of industrial energy-consuming equipment, calculates according to the input current and voltage, obtains equipment power, and obtains real-time energy consumption according to the equipment power; The energy consumption state analysis unit obtains the load condition on the current device, simulates the load condition through a preset model algorithm, obtains the minimum energy consumption required to complete the current load condition, and records the minimum energy consumption as the load energy consumption; The energy consumption status analysis unit obtains the current real-time energy consumption of the industrial energy-consuming equipment, and at the same time obtains the load energy consumption of the current industrial energy-consuming equipment, and records the ratio of the load energy consumption to the real-time energy consumption as the energy consumption efficiency; The energy consumption status analysis unit compares the energy consumption efficiency with a preset energy consumption efficiency threshold, and generates a low efficiency signal if the energy consumption efficiency is less than the preset energy consumption efficiency threshold, otherwise generates a high efficiency signal.

3. The industrial energy consumption online monitoring system based on the Internet of Things according to claim 1 is characterized in that: The energy consumption distribution unit divides the operating state of the energy-consuming equipment into a high energy consumption state, a startup state and a no-load state. The energy consumption distribution unit counts the duration of the high energy consumption state, the startup state and the no-load state in one cycle, and obtains the energy consumption of each state. The energy consumption distribution unit calculates the proportion of energy consumption in each state in the total energy consumption, and records them as operation proportion, startup proportion and no-load proportion respectively; The energy consumption distribution unit records the duration of the high energy consumption state and the no-load state as the operating time and the no-load time respectively, and counts the number of startup times of the energy-consuming equipment, and obtains the single startup time according to the duration of the startup state of the energy-consuming equipment and the number of startup times.

4. The industrial energy consumption online monitoring system based on the Internet of Things according to claim 3 is characterized in that: The energy consumption statistics unit compares the operation ratio with a set ratio threshold, and generates an operation energy consumption deficiency signal if the operation ratio is less than the set ratio threshold.

5. The industrial energy consumption online monitoring system based on the Internet of Things according to claim 4 is characterized in that: The energy consumption statistics unit sums the startup proportion and the no-load proportion to obtain the non-operation proportion, and calculates the ratio of the operation proportion to the non-operation proportion to obtain the operation ratio; The history comparison unit obtains multiple groups of historical operation ratios in the historical data, and sorts the historical operation ratios in order of size.

6. The industrial energy consumption online monitoring system based on the Internet of Things according to claim 5 is characterized in that: The history comparison unit determines the position of the operation ratio in the multiple groups of operation ratios in the historical data, and obtains the current position percentage W. Where w1 is the current position sequence of the running ratio, and w0 is the total number of running ratios in the historical data; The history comparison unit compares the current position percentage W with the set position threshold, and generates an abnormal energy consumption signal if the current position percentage W is less than the set position threshold, and generates a normal energy consumption signal if the current position percentage is not less than the set position threshold.

7. The industrial energy consumption online monitoring system based on the Internet of Things according to claim 6 is characterized in that: The energy consumption statistics unit calculates a ratio according to the startup proportion and the startup times, obtains the energy consumption of each startup, and records it as startup energy consumption; The energy consumption statistics unit calculates a ratio based on the no-load proportion and the no-load duration to obtain the energy consumption speed in the no-load state, and calculates the ratio of the startup energy consumption to the energy consumption speed in the no-load state to obtain the startup equivalent time. If the duration of a single no-load is greater than the startup equivalent time, it is recorded as a no-load area that can be closed. If the duration of a single no-load is not greater than the startup equivalent time, it is recorded as a no-load area that cannot be closed.

8. The industrial energy consumption online monitoring system based on the Internet of Things according to claim 7 is characterized in that: The abnormal address detection unit counts the closable no-load areas, and if the number of closable no-load areas is greater than the set threshold, an insufficient closing number signal is generated. The abnormal address detection unit counts the non-closable no-load areas, and if the number of non-closable no-load areas is greater than the set threshold, an excessive no-load time signal is generated. The insufficient closing number signal, the excessive no-load time signal, the closable no-load areas, and the non-closable no-load areas are combined to form an energy-consuming equipment operation evaluation report, which is displayed on a display device.

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