G-Smart government smart energy control system

Abstract

The invention discloses a G-Smart government smart energy control system, and belongs to the technical field of energy control. The system comprises an acquisition module, an analysis module, a data processing platform, an early warning module, a database, a display module and a processing module, the acquisition module is arranged and used for acquiring energy consumption information and emission information of an enterprise, and a foundation is laid for subsequent data calculation; an early warning module is arranged, an energy assessment coefficient calculated by the early warning module is compared with an energy assessment threshold value, then energy consumption of an enterprise is judged, a generated early warning signal can be displayed on a display module in real time, the state of the enterprise can be mastered in real time, energy monitoring is more efficient, and energy consumption is reduced. The energy safety map which can be displayed on the intelligent terminal in real time is convenient for people to check, so that the convenience of energy control is improved; and a processing module is arranged, the processing module changes the processing attitude of the enterprise through the alarm value, and intelligent control over energy of different enterprises is achieved.

Description

Technical Field

[0001] The present invention relates to the field of energy control technology, and more specifically, to a G-Smart government intelligent energy control system. Background Art

[0002] The government energy control system is a system that establishes a government-level energy data management center to form an energy-saving and emission-reduction database that integrates data aggregation and data storage. It focuses on real-time energy consumption monitoring of high-energy-consuming industries, energy-consuming units and key projects in the region, conducts statistical analysis and comparison of their energy usage conditions, and establishes a scientific energy management assessment indicator system.

[0003] At present, the government energy control system still has the following main problems: first, it only monitors energy through the energy consumption of enterprises, lacks comprehensive analysis capabilities, resulting in poor control effects; second, the display effect is poor. Investigators need to determine the energy consumption of enterprises through data comparison, and cannot intuitively and conveniently view the energy consumption status of enterprises. Summary of the invention

[0004] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a G-Smart government intelligent energy control system to solve the following technical problems: (1) Energy is only monitored through the energy consumption of the enterprise, resulting in poor control effect; (2) The display effect is poor and the energy consumption status of the enterprise cannot be viewed intuitively and conveniently. The purpose of the present invention can be achieved through the following technical solutions: A G-Smart government intelligent energy control system, including a collection module, an analysis module, a data processing platform, an early warning module, a database, a display module and a processing module; The collection module is used to collect energy consumption and emission information of different enterprises in the region; The analysis module is used to analyze and process the collected energy consumption information and emission information to obtain energy consumption factors and emission factors; The data processing platform calculates and processes the obtained energy consumption factors and emission factors to obtain energy assessment coefficients; The early warning module is used to compare the energy assessment coefficient with the energy assessment threshold preset in the database and generate early warning information; The display module is used to display the warning information and energy evaluation coefficient sent by the warning module, and to display the energy consumption information and emission information collected by the collection module in real time; The processing module obtains the enterprise's alarm value and the enterprise's processing attitude according to the energy security diagram displayed on the display module; the database is a storage center for storing data sent by the module.

[0005] According to a further solution of the present invention, the energy consumption information includes water consumption and electricity consumption, the emission information includes particulate matter concentration and total greenhouse gas concentration, and the emission information is obtained by detecting the gas around the enterprise through a particulate matter detector and a gas detector.

[0006] According to a further solution of the present invention, the specific steps of the analysis module for analysis include: Step A1: Mark the water consumption and electricity consumption in the energy consumption information as SXHi and DXHi respectively, i=1, 2, 3...n; set the first time period and the second time period in chronological order under the enterprise operation state, where the first time period is not equal to the second time period, set the absolute value of the time difference between the first time period and the second time period as T, and use the formula The energy consumption factor NHZ is obtained, wherein a1 and a2 are preset proportional coefficients and are not zero; SXH1 is the water consumption in the first time period; SXH2 is the water consumption in the second time period; DXH1 is the electricity consumption in the first time period; and DXH2 is the electricity consumption in the second time period; Step A2: Label the particulate matter concentration and total greenhouse gas concentration in the emission information as KLWi and TPFi, i=1, 2, 3...n; use the formula Obtain emission factors; where b1 and b2 are preset proportional coefficients and are not zero.

[0007] According to a further solution of the present invention, the data processing platform performs the following steps for calculating: using the formula The energy assessment coefficient NYP is obtained; where α is the operation compensation factor, and its value is 0.4875.

[0008] According to a further scheme of the present invention, the specific steps of comparison performed by the early warning module include: when the energy assessment coefficient NYP≥NBP, it is determined that the energy consumption exceeds the standard, and an energy excess signal is generated, and the energy excess signal and the energy assessment coefficient are sent to the display module; when the energy assessment coefficient NYP<NBP, it is determined that the energy consumption is normal, and a normal signal is generated, and the normal signal and the energy assessment coefficient are sent to the display module; wherein NBP is the energy assessment threshold.

[0009] According to a further solution of the present invention, the specific steps of the display module for display include: displaying an energy security map on a smart terminal through a third-party map platform, and color-marking different enterprises in the region on the energy security map; when the display module receives an energy excess signal in the early warning information, the enterprise is marked in red, and the energy assessment coefficient, energy consumption information and emission information of the enterprise are displayed at the same time; when the display module receives a normal signal in the early warning information, the enterprise is marked in green, and the energy assessment coefficient, energy consumption information and emission information of the enterprise are displayed at the same time.

[0010] According to a further solution of the present invention, the specific steps of processing module operation include: Step B1: Obtain the duration of the enterprise red mark QS and the number of red marks QC, using the formula Obtain an alarm value DZ, where T1 is a preset period of time; Step B2: When DZ≥DZM in a cycle, the enterprise is judged to be in violation of the regulations, and investigators are selected to conduct on-site inspections of the marked enterprise, and the energy supply to the enterprise is suspended; When DZN<DZ<DZM in a cycle, the enterprise is judged to be on the warning line, and the enterprise is continuously monitored, while the energy supply of the enterprise is reduced and adjusted; When DZ≤DZN within a cycle, the enterprise is judged to be compliant and the energy supply to the enterprise is maintained as it is; DZN and DZM are the minimum and maximum values ​​of the alarm threshold respectively.

[0011] Compared with the existing solutions, the present invention has the following beneficial effects: The present invention sets a collection module, which is used to collect the energy consumption information and emission information of the enterprise, laying a foundation for subsequent data calculation, providing diversified data support for the energy control analysis of the enterprise, and overcoming the problem of single data collected in the existing scheme; the analysis module and the data processing platform jointly calculate various data, so that the collected data are combined to facilitate overall analysis, and then obtain an energy evaluation coefficient that can represent the energy consumption of the enterprise, which is convenient for subsequent analysis and processing; by setting an early warning module, the energy evaluation coefficient calculated by the early warning module is compared with the energy evaluation threshold, and then the energy consumption of the enterprise is judged, and the early warning signal generated by it can be displayed in real time on the display module, and the state of the enterprise is grasped in real time, making energy monitoring more efficient, and the energy safety map that can be displayed in real time on the intelligent terminal is convenient for personnel to view, which improves the convenience of energy control; by setting a processing module, the processing module changes the processing attitude of the enterprise through the alarm value, and realizes intelligent control of the energy of different enterprises. The present invention comprehensively supervises the enterprise from the two aspects of energy consumption and carbon emission, scientifically allocates energy resources for government departments, and provides important scientific basis for the subsequent overall planning of energy conservation management. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a system block diagram of a G-Smart government intelligent energy control system of the present invention. DETAILED DESCRIPTION

[0013] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses. Example 1 Reference Figure 1 As shown, the present invention is a G-Smart government intelligent energy control system, including a collection module, an analysis module, a data processing platform, an early warning module, a database, a display module and a processing module; The collection module is used to collect energy consumption and emission information of different enterprises in the region, and send the energy consumption and emission information to the analysis module. The energy consumption information includes water consumption and electricity consumption, and the emission information includes the total concentration of particulate matter and greenhouse gases. The emission information is detected by a particulate matter detector and a gas detector to detect the gases around the enterprise. The greenhouse gases are the six specified carbon emission gases, namely carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons and sulfur hexafluoride. The total concentration of greenhouse gases is obtained by adding the concentrations of the six greenhouse gases. The particulate matter concentration is the sum of the concentrations of PM2.5 and PM10 particles. The collection module simultaneously sends the energy consumption and emission information to the database for storage. By collecting different data, the collection module provides diversified data support for the energy control analysis of the enterprise, overcoming the problem of single data collected in the existing solution.

[0014] The analysis module is used to analyze and process the collected energy consumption information and emission information, obtain energy consumption factors and emission factors, and send the energy consumption factors and emission factors to the data processing platform. At the same time, the analysis module sends the energy consumption factors and emission factors to the database for storage. The specific steps of the analysis module include: Step A1: Mark the water consumption and electricity consumption in the energy consumption information as SXHi and DXHi respectively, i=1, 2, 3...n; set the first time period and the second time period in chronological order under the enterprise operation state, where the first time period is not equal to the second time period, set the absolute value of the time difference between the first time period and the second time period as T, and use the formula The energy consumption factor NHZ is obtained, wherein a1 and a2 are preset proportional coefficients and are not zero; SXH1 is the water consumption in the first time period; SXH2 is the water consumption in the second time period; DXH1 is the electricity consumption in the first time period; and DXH2 is the electricity consumption in the second time period; Step A2: Label the particulate matter concentration and total greenhouse gas concentration in the emission information as KLWi and TPFi, i=1, 2, 3...n; use the formula Obtain emission factors; where b1 and b2 are preset proportional coefficients and are not zero.

[0015] The data processing platform calculates the energy consumption factor and emission factor to obtain the energy assessment coefficient, and sends the energy assessment coefficient to the early warning module. The data processing platform calculates and processes the following steps: The energy assessment coefficient NYP is obtained; wherein α is the operation compensation factor, and its value is 0.4875; T is the absolute value of the time difference between the first time period and the second time period under the operation state of the enterprise; at the same time, the data processing platform sends the energy assessment coefficient to the database for storage.

[0016] The early warning module is used to compare the energy assessment coefficient with the preset energy assessment threshold in the database, and generate early warning information to send to the display module. The early warning information includes energy over-limit signal and normal signal, and the early warning information is sent to the database for storage. The specific steps of the early warning module for comparison include: When the energy assessment coefficient NYP≥NBP, it is determined that the energy consumption exceeds the standard, and an energy excess signal is generated, and the energy excess signal and the energy assessment coefficient are sent to the display module; when the energy assessment coefficient NYP<NBP, it is determined that the energy consumption is normal, and a normal signal is generated, and the normal signal and the energy assessment coefficient are sent to the display module; wherein NBP is the energy assessment threshold.

[0017] The database serves as the storage center of the system and is used to store data sent by the modules, as well as to store preset energy assessment thresholds and alarm thresholds.

[0018] The display module is used to display the warning information and energy assessment coefficient sent by the warning module, and to display the energy consumption information and emission information collected by the collection module in real time. The specific steps of the display module for display include: An energy security map is displayed on smart terminals through a third-party map platform, and different enterprises in the region are color-coded on the energy security map. When the display module receives an energy excess signal in the early warning information, the enterprise is marked in red, and the energy assessment coefficient, energy consumption information and emission information of the enterprise are displayed at the same time; when the display module receives a normal signal in the early warning information, the enterprise is marked in green, and the energy assessment coefficient, energy consumption information and emission information of the enterprise are displayed at the same time; third-party map platforms include Baidu Maps, Amap and Tencent Maps; smart terminals are mobile phones and computers.

[0019] The processing module obtains the enterprise's alarm value according to the energy security diagram displayed on the display module, and compares it with the preset alarm threshold in the database to obtain the treatment attitude towards the enterprise. The treatment attitude includes suspension, reduction and adjustment, and maintenance. At the same time, the processing module sends the treatment attitude to the database for storage. The specific steps of the processing module operation include: Step B1: Obtain the duration of the enterprise red mark QS and the number of red marks QC, using the formula Obtain an alarm value DZ, where T1 is a preset period of time; Step B2: When DZ≥DZM in a cycle, the enterprise is judged to be in violation of the regulations, and investigators are selected to conduct on-site inspections of the marked enterprise, and the energy supply to the enterprise is suspended; When DZN<DZ<DZM in a cycle, the enterprise is judged to be on the warning line, and the enterprise is continuously monitored, while the energy supply of the enterprise is reduced and adjusted; When DZ≤DZN within a cycle, the enterprise is judged to be compliant and the energy supply to the enterprise is maintained as it is; DZN and DZM are the minimum and maximum values ​​of the alarm threshold respectively.

[0020] Example 2 On the basis of Example 1, the early warning module is also used to compare the emission information with a preset concentration threshold. When the particulate matter concentration is greater than the particulate matter concentration threshold, the particulate matter concentration is determined to be excessive, and a particulate matter concentration excessive signal is generated and sent to the display module, and the particulate matter concentration data is sent to the display module at the same time; when the concentration of one of the greenhouse gases is greater than the gas concentration threshold, the greenhouse gas is determined to be excessive, and a greenhouse gas excessive signal is generated and sent to the display module, and the concentration of the gas is sent to the display module at the same time; the particulate matter concentration threshold and the different gas concentration thresholds in the greenhouse gas are stored in the database.

[0021] In the description of the present invention, it should be understood that the terms "upper", "lower", "left", "right", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, and a specific direction structure and operation, and therefore, cannot be understood as a limitation on the present invention. In addition, "first" and "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0022] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. 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 a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A G-Smart government intelligent energy control system, characterized in that: It includes acquisition module, analysis module, data processing platform, early warning module, database, display module and processing module; The collection module is used to collect energy consumption and emission information of different enterprises in the region; The analysis module is used to analyze and process the collected energy consumption information and emission information to obtain energy consumption factors and emission factors; The data processing platform calculates and processes the obtained energy consumption factors and emission factors to obtain energy assessment coefficients; The early warning module is used to compare the energy assessment coefficient with the energy assessment threshold preset in the database and generate early warning information; The display module is used to display the warning information and energy evaluation coefficient sent by the warning module, and to display the energy consumption information and emission information collected by the collection module in real time; The processing module obtains the enterprise's alarm value according to the energy security diagram displayed on the display module, and obtains the enterprise's processing attitude; The database is a storage center used to store data sent by the module.

2. A G-Smart government intelligent energy control system according to claim 1, characterized in that: Energy consumption information includes water consumption and electricity consumption, emission information includes particulate matter concentration and total greenhouse gas concentration. Emission information is detected by particulate matter detectors and gas detectors to detect gases around the enterprise.

3. A G-Smart government intelligent energy control system according to claim 2, characterized in that: The specific steps of the analysis module include: Step A1: Mark the water consumption and electricity consumption in the energy consumption information as SXHi and DXHi respectively, i=1, 2, 3…n; set the first time period and the second time period in chronological order under the enterprise operation state, where the first time period is not equal to the second time period, set the absolute value of the time difference between the first time period and the second time period as T, and use the formula The energy consumption factor NHZ is obtained, wherein a1 and a2 are preset proportional coefficients and are not zero; SXH1 is the water consumption in the first time period; SXH2 is the water consumption in the second time period; DXH1 is the electricity consumption in the first time period; and DXH2 is the electricity consumption in the second time period; Step A2: Label the particulate matter concentration and total greenhouse gas concentration in the emission information as KLWi and TPFi, i = 1, 2, 3…n; use the formula Obtain emission factors; where b1 and b2 are preset proportional coefficients and are not zero.

4. The G-Smart government intelligent energy control system according to claim 3 is characterized in that: The data processing platform performs the following steps to calculate: The energy assessment coefficient NYP is obtained; where α is the operation compensation factor, and its value is 0.4875.

5. A G-Smart government intelligent energy control system according to claim 4, characterized in that: The specific steps of the early warning module for comparison include: when the energy assessment coefficient NYP≥NBP, it is determined that the energy consumption exceeds the standard, and an energy excess signal is generated, and the energy excess signal and the energy assessment coefficient are sent to the display module; when the energy assessment coefficient NYP<NBP, it is determined that the energy consumption is normal, and a normal signal is generated, and the normal signal and the energy assessment coefficient are sent to the display module; wherein NBP is the energy assessment threshold.

6. A G-Smart government intelligent energy control system according to claim 5, characterized in that: The specific steps for the display module to display include: displaying an energy security map on a smart terminal through a third-party map platform, and color-marking different enterprises in the region on the energy security map; when the display module receives an energy excess signal in the early warning information, the enterprise is marked in red, and the energy assessment coefficient, energy consumption information and emission information of the enterprise are displayed at the same time; when the display module receives a normal signal in the early warning information, the enterprise is marked in green, and the energy assessment coefficient, energy consumption information and emission information of the enterprise are displayed at the same time.

7. A G-Smart government intelligent energy control system according to claim 6, characterized in that: The specific steps of processing module operation include: Step B1: Obtain the duration of the enterprise red mark QS and the number of red marks QC, using the formula Obtain an alarm value DZ, where T1 is a preset period of time; Step B2: When DZ≥DZM in a cycle, the enterprise is judged to be in violation of the regulations, and investigators are selected to conduct on-site inspections of the marked enterprise, and the energy supply to the enterprise is suspended; When DZN<DZ<DZM in a cycle, the enterprise is judged to be on the warning line, and the enterprise is continuously monitored, while the energy supply of the enterprise is reduced and adjusted; When DZ≤DZN within a cycle, the enterprise is judged to be compliant and the energy supply to the enterprise is maintained as it is; DZN and DZM are the minimum and maximum values ​​of the alarm threshold respectively.

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