Energy consumption monitoring system for low-carbon industrial park

Abstract

The invention relates to the technical field of energy consumption monitoring, and provides a low-carbon industrial park energy consumption monitoring system which comprises an acquisition assembly, a photovoltaic power generation assembly, a feature analyzer, an analyzer, a controller and a displayers. A carbon imbalance tendency characterization value is determined through an analyzer, a carbon emission sensitive tendency period is divided through a controller, different judgment modes are adopted for different carbon emission sensitive tendency periods, and through the influence of energy consumption changes on carbon emission in the air, the risk that the carbon emission rapidly rises is found in time, and the carbon emission sensitivity is improved. The starting of the photovoltaic power generation device is controlled in time so as to reduce the carbon emission risk through electric energy compensation, the monitoring time period is adjusted in time, the reliability and accuracy of industrial park energy consumption monitoring are improved, and the influence of carbon emission rising on the environment greenhouse effect is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of energy consumption monitoring, and particularly to an energy consumption monitoring system for a low-carbon industrial park. Background Art

[0002] With the rapid development of the global economy, the demand for energy continues to grow. However, the reserves of traditional fossil fuels are limited, and the contradiction between energy supply and demand is becoming increasingly prominent. As a concentrated area of energy consumption, industrial parks have a huge demand for energy and urgently need effective energy management measures to improve energy utilization efficiency and reduce energy waste. At the same time, in the face of increasingly severe environmental problems, governments around the world have successively introduced strict environmental protection policies and carbon emission restriction measures. As an important source of carbon emissions, industrial parks need to strengthen the monitoring and management of energy consumption and carbon emissions to meet environmental protection requirements and achieve sustainable development.

[0003] In the context of the construction of smart cities, industrial parks, as an important part of cities, their energy consumption monitoring systems are an important part of the smart city energy management system. Through the interconnection and interoperability with other energy monitoring systems in the city, the overall planning and collaborative management of urban energy can be realized, the urban energy utilization efficiency can be improved, and the sustainable development of the city can be promoted. Smart cities emphasize data sharing and collaboration. The energy consumption monitoring system of low-carbon industrial parks can share data and interact with other information systems such as urban transportation, environmental protection, and meteorology, providing more comprehensive and accurate data support for urban comprehensive management and decision-making, and realizing the optimal allocation and efficient utilization of urban resources.

[0004] For example, Chinese Patent Publication No.: CN 116777099 A discloses a method and system for monitoring carbon data in a park based on artificial intelligence, including an acquisition module, a processing module, and a calculation module; an electro-carbon coupling model is obtained by acquiring the historical energy consumption data of energy-consuming devices in the park, and the energy consumption data of real-time energy-consuming devices is input into the electro-carbon coupling model to obtain the carbon emissions of the energy-consuming devices. The coupling unit obtains the electro-carbon coupling model based on the node carbon potential in the energy network, according to the line carbon flow rate and historical energy consumption data, solves the problem of how to accurately calculate the carbon emissions of various energy-consuming devices in the park, realizes the electro-carbon power flow calculation combining carbon flow analysis and power flow analysis, and considers the network loss of the park energy network by introducing node carbon potential and carbon flow rate, and accurately monitors and calculates the carbon emissions of each energy-consuming device in the park.

[0005] Chinese Patent Publication No.: CN 118393858 B. This invention relates to an energy-saving control system for energy-consuming equipment in a park based on Internet of Things technology, including: a monitoring and analysis subsystem and a screening and analysis subsystem; the monitoring and analysis subsystem includes a server, which is communicatively connected to a regional planning module, an energy consumption monitoring module, and a partition optimization module. The regional planning module is used to divide the park into functional areas, monitor the energy consumption of buildings with different functions during the monitoring period in a partitioned monitoring manner, and obtain the average consumption coefficient. The sub-partitions are differentially marked through the average consumption coefficient to provide data support for partition optimization analysis, aiming to solve the problem that the existing energy-saving control system for energy-consuming equipment in a park cannot give a targeted energy-saving control optimization direction by combining partition energy consumption parameters and the energy consumption status of equipment.

[0006] However, the following problems still exist in the prior art:

[0007] The prior art does not consider characterizing the change of carbon emissions in an industrial park based on the dynamic characteristics of energy consumption in the industrial park, and cannot accurately know the impact of the change of carbon emissions on the industrial park, resulting in poor accuracy of carbon emissions in a low-carbon industrial park. Summary of the Invention

[0008] Therefore, the present invention provides a low-carbon industrial park energy consumption monitoring system to overcome the problems in the prior art that do not consider characterizing the change of carbon emissions in an industrial park based on the dynamic characteristics of energy consumption in the industrial park, cannot accurately know the impact of the change of carbon emissions on the industrial park, and result in poor accuracy of carbon emissions in a low-carbon industrial park.

[0009] To achieve the above object, the present invention provides a low-carbon industrial park energy consumption monitoring system, including:

[0010] A collection component, which includes a controller arranged in the industrial park for collecting energy consumption data and a carbon data monitor for obtaining carbon emissions;

[0011] A photovoltaic power generation component, which includes a photovoltaic power generation device arranged in the industrial park for compensating the power of the industrial park;

[0012] A feature analyzer, which is connected to the collection component and is used to analyze dynamic characteristic parameters based on the energy consumption and carbon emissions of the industrial park in each historical time period, including the actual average energy consumption of the industrial park and the average carbon emissions of the industrial park during the time period;

[0013] An analyzer, which is connected to the feature analyzer and is used to analyze the carbon imbalance tendency characterization value of the industrial park in each time period based on the dynamic characteristic parameters;

[0014] A controller, which is respectively connected to the acquisition component, the photovoltaic power generation component and the analyzer, includes a clustering unit and a control unit. The clustering unit is used to distinguish carbon emission sensitive tendency periods and carbon emission balance tendency periods based on the carbon imbalance tendency characterization values corresponding to each time period;

[0015] In response to the division result of the clustering unit, the control unit monitors the energy consumption status of the industrial park, including determining whether there is a risk of rapid increase in carbon emissions based on the change of the carbon imbalance tendency characterization value within a time period, so as to control the activation of the photovoltaic power generation device;

[0016] Or, determine the weighted average value of the carbon emissions of the industrial park, so as to determine whether to adjust the monitored time period based on the weighted average value of the carbon emissions to determine the increase range of the time period.

[0017] Further, it is used to analyze the carbon imbalance tendency characterization value of the industrial park in each time period based on dynamic characteristic parameters, including,

[0018] Determine the ratio of the average actual energy consumption of the industrial park within a time period to the preset energy consumption threshold as the first carbon imbalance influencing factor;

[0019] Calculate the ratio of the average carbon emissions of the industrial park within a time period to the preset carbon emissions threshold as the second carbon imbalance influencing factor;

[0020] Calculate the sum of the first carbon imbalance influencing factor and the second carbon imbalance influencing factor as the carbon imbalance tendency characterization value.

[0021] Further, the clustering unit is used to distinguish carbon emission sensitive tendency periods and carbon emission balance tendency periods based on the carbon imbalance tendency characterization values corresponding to each time period, including,

[0022] If the carbon imbalance tendency characterization value is greater than or equal to the carbon imbalance tendency characterization value threshold, it is determined as a carbon emission sensitive tendency period;

[0023] If the carbon imbalance tendency characterization value is less than the carbon imbalance tendency characterization value threshold, it is determined as a carbon emission balance tendency period.

[0024] Further, in response to the division result of the clustering unit, the control unit includes,

[0025] If the division result is a carbon emission sensitive tendency period, determine whether there is a risk of rapid increase in carbon emissions based on the change of the carbon imbalance tendency characterization value within a time period, so as to control the activation of the photovoltaic power generation device;

[0026] If the division result is a carbon emission balance tendency period, determine the weighted average of the carbon emissions of the industrial park, and based on the weighted average of the carbon emissions, determine whether to adjust the monitored time period to determine the increase amplitude of the time period.

[0027] Further, the control unit is used to determine whether there is a risk of rapid increase in carbon emissions based on the change of the carbon imbalance tendency characterization value within the time period, including,

[0028] Determine the change amplitude of the carbon imbalance tendency characterization value within the time period;

[0029] If the change amplitude is greater than or equal to the preset change amplitude threshold, it is determined that there is a risk of rapid increase in carbon emissions.

[0030] Further, the control unit is also used to determine whether to turn on the photovoltaic power generation device based on the determination result of the risk of rapid increase in carbon emissions, including, if the control unit determines that there is a risk of rapid increase in carbon emissions, turn on the photovoltaic power generation device.

[0031] Further, the control unit is used to determine the weighted average of the carbon emissions of the industrial park, including,

[0032] Identify the carbon emissions of each industry in the industrial park and mark the average carbon emissions as the reference point;

[0033] Determine the difference between the carbon emissions of each industry and the reference point;

[0034] Arrange the differences of each industry in descending order;

[0035] Calculate the weighted average of the top two industries in the sorting according to the weight of 5:5.

[0036] Further, the control unit is used to determine whether to adjust the monitored time period based on the weighted average of the carbon emissions, including,

[0037] If the weighted average is less than the preset carbon emission weighted threshold, it is determined to adjust the time period of the monitoring system.

[0038] Further, the increase amplitude of the time period of the monitoring system is determined by the weighted average of the carbon emissions.

[0039] Further, it also includes a display, which is connected to the acquisition component and used to display the data collected by the acquisition component.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows. A low-carbon industrial park energy consumption monitoring system provided by the present invention includes a collection component, a photovoltaic power generation component, a feature parser, an analyzer, and a controller. The present invention collects the energy consumption data of the industrial park through the collection component, analyzes the dynamic characteristic parameters through the feature parser, determines the carbon imbalance tendency characterization value through the analyzer, divides the carbon emission sensitive tendency period through the controller, and adopts different determination methods for different carbon emission sensitive tendency periods. The present invention discovers the risk of rapid increase in carbon emissions in a timely manner through the impact of energy consumption changes on carbon emissions in the air, controls the activation of the photovoltaic power generation device in a timely manner to reduce the carbon emission risk through power compensation, and adjusts the monitored time period in a timely manner, improving the reliability and accuracy of the energy consumption monitoring of the industrial park, and avoiding the impact of rising carbon emissions on the greenhouse effect.

[0041] In particular, the carbon imbalance tendency value can be determined through the changes in the energy consumption of the industrial park within a time period and the changes in the carbon emissions of the industrial park, so as to predict the carbon emission tendency of the industrial park. In actual situations, if the energy consumption increases, it is likely to lead to an increase in carbon emissions. For example, when the power plant in the industrial park burns to generate energy consumption, the carbon emissions will increase. If the energy consumption increases, there is a rapid increase in the stimulation of carbon emissions, which is likely to trigger a rapid increase in carbon emissions. The present invention comprehensively considers parameters such as the changes in the energy consumption of the industrial park and the amplitude of the changes in carbon emissions in different time periods through the carbon imbalance tendency characterization value to determine the impact on the carbon imbalance tendency in the carbon emissions of the industrial park, and can more comprehensively reflect the carbon emission tendency of the industrial park, further improving the accuracy of the energy consumption monitoring of the low-carbon industrial park.

[0042] In particular, for the situation of the carbon emission sensitive tendency period, it indicates that the industrial park is greatly affected by energy consumption. Therefore, it is necessary to consider whether there is a risk of rapid increase in carbon emissions. From the perspective of the change in the carbon imbalance tendency characterization value, it is determined whether there may be a situation where the carbon emissions rapidly increase, leading to the greenhouse effect of the environment, and the photovoltaic power generation device is activated in a timely manner to reduce the energy consumption of the power plant in the industrial park, ensuring the environmental protection of the energy consumption monitoring.

[0043] In particular, for the carbon emission balance tendency period, it indicates that the industrial park is less affected by energy consumption. At this time, the carbon emissions of the industrial park are continuously monitored in a normalized manner. The weighted average value of the carbon emissions represents the carbon emission activity of the industrial park. For the situation where the carbon emission activity is low, the monitoring time period is increased in a timely manner to ensure the energy conservation of the water quality monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a structural block diagram of the low-carbon industrial park energy consumption monitoring system according to the embodiment of the present invention;

[0045] Figure 2Flowchart of steps for analyzing the carbon imbalance tendency characterization value of the industrial park in each time period in the embodiment of the present invention

[0046] Figure 3 Logic block diagram for distinguishing the carbon emission sensitive tendency period and the carbon emission balance tendency period in the embodiment of the present invention;

[0047] Figure 4 Logic block diagram for determining whether there is a risk of rapid increase in carbon emissions in the embodiment of the present invention. Detailed implementation manners

[0048] In order to make the objectives and advantages of the present invention clearer and more understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0050] It should be noted that in the description of the present invention, unless otherwise clearly defined and limited, the term "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0051] Please refer to Figure 1 as shown, which is a structural block diagram of the low-carbon industrial park energy consumption monitoring system in the embodiment of the present invention. The embodiment of the present invention provides a low-carbon industrial park energy consumption monitoring system, including:

[0052] An acquisition component, which includes a controller arranged in the industrial park for acquiring energy consumption data and a carbon data monitor for obtaining carbon emissions;

[0053] A photovoltaic power generation component, which includes a photovoltaic power generation device arranged in the industrial park for compensating the electricity in the industrial park;

[0054] A feature resolver, which is connected to the acquisition component and is used to analyze dynamic characteristic parameters based on the energy consumption and carbon emissions of the industrial park in each historical time period, including the actual average energy consumption of the industrial park within the time period and the average carbon emissions of the industrial park;

[0055] An analyzer, which is connected to the feature resolver and is used to analyze the carbon imbalance tendency characterization value of the industrial park in each time period based on the dynamic characteristic parameters;

[0056] A controller, which is respectively connected to the acquisition component, the photovoltaic power generation component and the analyzer, includes a clustering unit and a control unit. The clustering unit is used to distinguish the carbon emission sensitive tendency period and the carbon emission balance tendency period based on the carbon imbalance tendency characterization values corresponding to each time period;

[0057] The control unit responds to the division result of the clustering unit and monitors the energy consumption status of the industrial park, including determining whether there is a risk of rapid increase in carbon emissions based on the change of the carbon imbalance tendency characterization value within a time period, so as to control the activation of the photovoltaic power generation device;

[0058] Or, determine the weighted average value of the carbon emissions of the industrial park, so as to determine whether to adjust the monitored time period based on the weighted average value of the carbon emissions, and determine the increase amplitude of the time period.

[0059] It can be understood that the photovoltaic power generation device for compensating the power of the industrial park in the present invention is not limited. Those skilled in the art can deploy the photovoltaic power generation device at any position in the target industrial park according to the needs, as long as the corresponding functions can be realized.

[0060] It can be understood that the acquisition component has the function of automatically collecting data, the analyzer automatically analyzes data, the controller can perform corresponding debugging, and at the same time, it has the functions of monitoring data query, export and automatic backup, and can record each data information of the carbon emission cycle of the industrial park.

[0061] It can be understood that the average energy consumption of the industrial park within the time period of the present invention is the average value of the total value of the electric energy, heat energy and each energy in the industrial park within every 2 to 4 hours. The time period is selected within 2 to 4 hours. Preferably, the energy consumption is the power consumption, and the time period is 3 hours.

[0062] For the time period, those skilled in the art can optimize it. For example, during the daytime working hours, since the power consumption of the factory is large and the energy consumption of all energies is large, and the average energy consumption changes greatly, therefore, during the daytime working hours, the monitoring frequency is increased and the monitoring time period is reduced from every 3 hours to every 2 hours.

[0063] It can be understood that the average energy consumption of the industrial park in each historical time period and the average value of the carbon emissions of the industrial park can reflect the carbon emission accuracy of the low-carbon industrial park.

[0064] It can be understood that the industrial park includes a traditional power plant.

[0065] Specifically, there is no limitation on the method for obtaining the carbon emissions of the industrial park. For example, the input-output method can be used for accounting. By compiling an input-output table, the relationship between macroeconomic data, material consumption, and carbon emissions is established, so as to calculate the carbon emissions of relevant departments in the park. It is also possible to obtain an electricity-carbon coupling model based on the line carbon flow rate and historical energy consumption data. The electricity-carbon coupling model is used to calculate the carbon emissions of energy-consuming equipment in the park. Of course, other methods can also be used to determine the carbon emissions, which will not be elaborated here.

[0066] Specifically, there is no limitation on the specific structures of the feature parser, analyzer, and controller. They can all be composed of logic components, and the logic components include field-programmable components, computers, or microprocessors in a computer.

[0067] Specifically, there is no limitation on the method for determining the weighted average value of the carbon emissions of the industrial park. In implementation, weighted processing is carried out according to the proportion and importance of different emission sources, which will not be elaborated here.

[0068] Please refer to Figure 2 As shown, it is a step flowchart for analyzing the carbon imbalance tendency characterization value of the industrial park in each time period in an embodiment of the present invention. The analyzer of the present invention is used to analyze the carbon imbalance tendency characterization value of the industrial park in each time period based on dynamic characteristic parameters, including

[0069] Determining the ratio of the average actual energy consumption of the industrial park in a time period to a preset energy consumption threshold as the first carbon imbalance influencing factor;

[0070] Calculating the ratio of the average carbon emissions of the industrial park in a time period to a preset carbon emissions threshold as the second carbon imbalance influencing factor;

[0071] Calculating the sum of the first carbon imbalance influencing factor and the second carbon imbalance influencing factor as the carbon imbalance tendency characterization value.

[0072] It can be understood that the preset energy consumption threshold and the preset carbon emissions threshold in this embodiment are determined in advance. Among them, the average energy consumption of the industrial park in several historical time periods is recorded in advance, and the average carbon emissions determined by those skilled in the art are recorded. The average energy consumption is determined as the energy consumption threshold, and the product of the average carbon emissions and the precision coefficient is determined as the carbon emissions threshold. The precision coefficient is selected within the range of [1.15, 1.25].

[0073] Please refer to Figure 3As shown, it is a logic block diagram for the embodiment of the present invention to distinguish the carbon emission sensitive tendency period and the carbon emission balance tendency period. The clustering unit of the present invention is used to distinguish the carbon emission sensitive tendency period and the carbon emission balance tendency period based on the carbon imbalance tendency characterization value corresponding to each time period, including,

[0074] If the carbon imbalance tendency characterization value is greater than or equal to the carbon imbalance tendency characterization value threshold, it is determined as the carbon emission sensitive tendency period;

[0075] If the carbon imbalance tendency characterization value is less than the carbon imbalance tendency characterization value threshold, it is determined as the carbon emission balance tendency period.

[0076] Specifically, the carbon imbalance tendency characterization value threshold is selected within the interval [2.3, 2.5].

[0077] The carbon imbalance tendency characterization value can be determined through the change in the average actual energy consumption and the change in the average carbon emission of the industrial park within the time period, so as to predict the carbon emission tendency. In actual situations, if the actual energy consumption increases, it is likely to cause an increase in carbon emissions. For example, high energy consumption is usually accompanied by high carbon emissions, putting pressure on the environment. The present invention comprehensively considers parameters such as the change in the energy consumption of the industrial park and the change range of the carbon emissions of the industrial park through the carbon imbalance tendency characterization value to reflect the influence of energy consumption on carbon emissions in different time periods, which can more comprehensively reflect the carbon emission tendency of the industrial park, further improving the accuracy of energy consumption monitoring in low-carbon industrial parks and reflecting the impact of energy consumption on carbon emissions.

[0078] Specifically, the control unit monitors the energy consumption status of the industrial park in response to the division result of the clustering unit, including,

[0079] If the division result is the carbon emission sensitive tendency period, it is determined whether there is a risk of rapid increase in carbon emissions based on the change of the carbon imbalance tendency characterization value within the time period, so as to control the opening of the photovoltaic power generation device;

[0080] If the division result is the carbon emission balance tendency period, the weighted average value of the carbon emissions of the industrial park is determined to determine whether to adjust the monitored time period based on the weighted average value of the carbon emissions to determine the increase amplitude of the time period.

[0081] Please refer to Figure 4 As shown, it is a logic block diagram for the embodiment of the present invention to determine whether there is a risk of rapid increase in carbon emissions. The control unit of the present invention is used to determine whether there is a risk of rapid increase in carbon emissions based on the change of the carbon imbalance tendency characterization value within the time period, including,

[0082] Used to determine the change amplitude of the carbon imbalance tendency characterization value within the time period;

[0083] If the change range is greater than or equal to a preset change range threshold, it is determined that there is a risk of rapid increase in carbon emissions;

[0084] If the change range is less than the preset change range threshold, it is determined that there is no risk of rapid increase in carbon emissions.

[0085] In implementation, the change range threshold is determined in advance. Among them, the change range of the carbon imbalance tendency characterization value in several historical time periods is recorded, and the maximum change range is determined, and the maximum change range is determined as the change range threshold.

[0086] Specifically, the control unit is also used to determine whether to turn on the photovoltaic power generation device based on the determination result of the risk of rapid increase in carbon emissions, including,

[0087] If the control unit determines that there is a risk of rapid increase in carbon emissions, the photovoltaic power generation device is turned on.

[0088] For the case of the carbon emission sensitive tendency period, it characterizes that the carbon emissions are greatly affected by energy consumption. Therefore, it is necessary to consider whether there is a risk of rapid increase in carbon emissions caused by energy consumption, resulting in a rapid increase in carbon emissions. From the perspective of the change of the carbon imbalance tendency characterization value, it is determined whether there may be a situation of rapid increase in carbon emissions, resulting in enhanced greenhouse effect, and the photovoltaic power generation device is turned on in time to compensate the industrial park with low-carbon energy to ensure the reliability of carbon emission monitoring.

[0089] Specifically, determining the weighted average value of the carbon emissions of the industrial park includes,

[0090] Used to identify the carbon emissions of each industry in the industrial park, and mark the average carbon emission as the reference point;

[0091] Used to determine the difference between the carbon emissions of each industry and the reference point;

[0092] Used to sort the differences of each industry in descending order;

[0093] Used to calculate the weighted average value of the top two industries in the ranking according to the weight of 5:5.

[0094] Specifically, there is no limit to the method of identifying the carbon emissions of each industry in the industrial park. An algorithm or model that can realize the corresponding function can be pre-trained and imported into the logic component to realize the corresponding function, which will not be elaborated here.

[0095] Specifically, the control unit is used to determine whether to adjust the monitoring time period based on the weighted average value of the carbon emissions, including,

[0096] If the weighted average value is greater than or equal to the preset carbon emission weighted threshold, it is determined not to adjust the monitoring time period;

[0097] If the weighted average value is less than a preset carbon emission weighted threshold, it is determined to adjust the monitoring time period.

[0098] Specifically, the carbon emission weighted threshold is determined in advance. Among them, the carbon emission weighted average values in each historical time period are recorded, and the carbon emission weighted threshold is set to be between 0.85 times and 0.95 times of the carbon emission weighted average value.

[0099] For the carbon emission balance tendency period, it characterizes that the carbon emission is less affected by energy consumption. At this time, the energy consumption situation of the industrial park is continuously monitored in a normal manner. The carbon emission weighted threshold characterizes the carbon emission activity of the industrial park. For the situation of low carbon emission activity, the time period is adjusted in time to increase the time period and reduce the energy consumption loss of the monitoring system.

[0100] Specifically, the increase amplitude of the monitoring time period is determined by the weighted average value of the carbon emission amount.

[0101] The adjustment of the monitoring time period of the monitoring system of the present invention includes

[0102] Calculating the difference between the carbon emission weighted threshold and the weighted average value of the carbon emission amount;

[0103] Determining the product of the difference and the precision coefficient as the increase amplitude of the time period;

[0104] The precision coefficient is selected within the interval [0.85, 0.95].

[0105] Specifically, it further includes a display, which is connected to the acquisition component and used to display the data acquired by the acquisition component.

[0106] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or replacements to the relevant technical features, and the technical solutions after these changes or replacements will fall within the protection scope of the present invention.

[0107] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A low-carbon industrial park energy consumption monitoring system, characterized in that: include: A collection component, which includes a controller set in the industrial park for collecting energy consumption data and a carbon data monitor for obtaining carbon emissions; A photovoltaic power generation assembly, comprising a photovoltaic power generation device arranged in the industrial park for compensating the electricity in the industrial park; A feature analyzer connected to the acquisition component to analyze dynamic feature parameters based on the energy consumption and carbon emissions of the industrial park in each historical time period, including the actual energy consumption average of the industrial park and the carbon emissions average of the industrial park in the time period; An analyzer, connected to the characteristic analyzer, for analyzing the carbon imbalance tendency characterization value of the industrial park in each time period based on the dynamic characteristic parameter; A controller, which is connected to the collection component, the photovoltaic power generation component and the analyzer respectively, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish between carbon emission sensitive tendency periods and carbon emission balanced tendency periods based on the carbon imbalance tendency characterization values ​​corresponding to each time period; The control unit monitors the energy consumption status of the industrial park in response to the division result of the clustering unit, including determining whether there is a risk of rapid increase in carbon emissions based on the change of the carbon imbalance tendency characterization value within a time period, so as to control the start-up of the photovoltaic power generation device; Or, determine a weighted average of the carbon emissions of the industrial park, and determine whether to adjust the monitoring time period based on the weighted average of the carbon emissions to determine the increase in the time period.

2. The low-carbon industrial park energy consumption monitoring system according to claim 1 is characterized in that: The analyzer is used to analyze the carbon imbalance tendency characterization value of the industrial park in each time period based on the dynamic characteristic parameters, including: The ratio of the actual energy consumption average of the industrial park within the time period to the preset energy consumption threshold is used to determine the first carbon imbalance influencing factor; The ratio of the average carbon emissions of the industrial park within the calculated time period to the preset carbon emissions threshold is determined as the second carbon imbalance influencing factor; The sum of the first carbon imbalance influencing factor and the second carbon imbalance influencing factor is calculated and determined as the carbon imbalance tendency characterization value.

3. The low-carbon industrial park energy consumption monitoring system according to claim 2 is characterized in that: The clustering unit is used to distinguish the carbon emission sensitive tendency period and the carbon emission balanced tendency period based on the carbon imbalance tendency characterization value corresponding to each time period, include, If the carbon imbalance tendency characterization value is greater than or equal to the carbon imbalance tendency characterization value threshold, it is determined to be a carbon emission sensitive tendency period; If the carbon imbalance tendency characterization value is less than the carbon imbalance tendency characterization value threshold, it is determined to be a carbon emission balance tendency period.

4. The low-carbon industrial park energy consumption monitoring system according to claim 1 is characterized in that: The control unit responds to the division result of the clustering unit, include, If the division result is a carbon emission sensitive tendency period, whether there is a risk of rapid increase in carbon emissions is determined based on the change in the carbon imbalance tendency characterization value within the time period, so as to control the start-up of the photovoltaic power generation device; If the division result is a carbon emission balance tendency period, the weighted average of the carbon emissions of the industrial park is determined to determine whether to adjust the monitoring time period based on the weighted average of the carbon emissions to determine the increase in the time period.

5. The low-carbon industrial park energy consumption monitoring system according to claim 1 is characterized in that: The control unit is used to determine whether there is a risk of rapid increase in carbon emissions based on changes in the carbon imbalance tendency characterization value within a time period, include, To determine the change range of the carbon imbalance tendency characterization value within a time period; If the change amplitude is greater than or equal to a preset change amplitude threshold, it is determined that there is a risk of rapid increase in carbon emissions.

6. The low-carbon industrial park energy consumption monitoring system according to claim 1 is characterized in that: The control unit is also used to determine whether to start the photovoltaic power generation device based on the determination result of the risk of rapid increase in carbon emissions, Including, if the control unit determines that there is a risk of rapid increase in carbon emissions, turning on the photovoltaic power generation device.

7. The low-carbon industrial park energy consumption monitoring system according to claim 1 is characterized in that: The control unit is used to determine the weighted average value of carbon emissions of the industrial park, including: It is used to identify the carbon emissions of various industries in the industrial park, and mark the mean carbon emissions as the reference point; To determine the difference between the carbon emissions of each industry and the reference point; To arrange the differences of the industries in descending order; It is used to calculate the weighted average of the top two industries with a weight of 5:

5.

8. The low-carbon industrial park energy consumption monitoring system according to claim 1 is characterized in that: The control unit is used to determine whether to adjust the monitoring time period based on the weighted average value of the carbon emissions, including: If the weighted average value is less than a preset carbon emission weighted threshold value, it is determined that the time period of the monitoring system is to be adjusted.

9. The low-carbon industrial park energy consumption monitoring system according to claim 1 is characterized in that: The increase in the time period of the monitoring system is determined by the weighted average value of the carbon emissions.

10. The low-carbon industrial park energy consumption monitoring system according to claim 1 is characterized in that: It also includes a display, which is connected to the acquisition component and is used to display the data collected by the acquisition component.

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