Urban lighting power consumption management system and method

Abstract

The invention provides an urban lighting power consumption management system and method, and relates to the technical field of lighting control, and the system comprises a data collection and calculation module which is used for obtaining target energy consumption data of equipment in a target lighting monitoring system; the ammeter management module is used for importing information data of a group of ammeters in batches; the electric quantity and electric charge management module is used for importing electric quantity and electric charge data; the database is used for storing target energy consumption data, information data of a group of electricity meters and electric quantity and electricity charge data; the data statistics module is used for counting a group of energy consumption indexes according to the target energy consumption data and counting a group of electric quantity and electric charge indexes according to the electric quantity and electric charge data; the data analysis module is used for analyzing the electric quantity and electricity charge data and the target energy consumption data to obtain an analysis result; and the alarm module is used for sending out alarm information under the condition of determining that the energy consumption and the electricity consumption are abnormal. By implementing the technical scheme provided by the invention, the management efficiency of the lighting power consumption management system is improved.

Description

Technical Field

[0001] The present application relates to the field of lighting control technology, and in particular to an urban lighting electricity management system and method. Background Art

[0002] Due to the large number of urban lighting equipment and the long continuous operation time, achieving scientific and efficient lighting energy consumption and electricity management is an important part of urban lighting monitoring, which is of strategic significance to promoting energy conservation and emission reduction of urban lighting. However, in related technologies, the electricity consumption data of the lighting monitoring management department is mostly obtained from the power department for calculation and statistics. The current existing electricity management method is mainly to obtain the Excel data details of the monthly electricity consumption and electricity charges from the power department, and use traditional methods for management and archiving, resulting in the dispersion of the electricity consumption data management system and the lighting monitoring system, low management efficiency, and the inability to combine the electricity consumption and electricity charge data with the energy consumption data calculated by the lighting monitoring system, making the energy consumption data isolated and only become theoretical data for display, and unable to deeply explore the data value. Summary of the invention

[0003] In order to solve the above problems, the present application provides a city lighting electricity management system and method.

[0004] In a first aspect, the present application provides an urban lighting electricity management system, including: a data acquisition and calculation module, used to obtain target energy consumption data of equipment in a target lighting monitoring system, the target lighting monitoring system being any lighting monitoring system in a regional lighting master monitoring system; an electric meter management module, used to batch import information data of a group of electric meters, wherein each lighting monitoring system in the regional lighting master monitoring system corresponds to one electric meter in a group of electric meters; an electricity quantity and electricity fee management module, used to import electricity quantity and electricity fee data, wherein the electricity quantity and electricity fee data include target electricity quantity data and target electricity fee data generated by the power department when measuring the electricity consumption of equipment in the target lighting monitoring system; a database, used to store target energy consumption data, information data of a group of electric meters and Electricity consumption and electricity cost data; a data statistics module, used to count a set of energy consumption indicators of equipment in the target lighting monitoring system according to the target energy consumption data, and to count a set of electricity consumption and electricity cost indicators of equipment in the target lighting monitoring system according to the target electricity data and the target electricity cost data, wherein a set of energy consumption indicators includes daily energy consumption indicators, monthly energy consumption indicators and annual energy consumption indicators, and a set of electricity consumption and electricity cost indicators includes monthly electricity consumption and electricity cost indicators and annual electricity consumption and electricity cost indicators; a data analysis module, used to analyze the electricity consumption and electricity cost data and the target energy consumption data to obtain analysis results, wherein the analysis results are used to indicate whether there is an abnormality in the energy consumption of the target lighting monitoring system; an alarm module, used to issue an alarm message when it is determined that there is an abnormality in the energy consumption and electricity consumption of the target lighting monitoring system.

[0005] By adopting the above technical solutions, the data acquisition and calculation module can obtain the target energy consumption data of the equipment in the target lighting monitoring system in real time, improving the timeliness and accuracy of the data; the meter management module supports batch import of information data of a group of meters, simplifying the data entry process and improving management efficiency; the power consumption and electricity fee management module can import the target power consumption data and target electricity fee data provided by the power department, ensuring the authority and reliability of the data source; the data statistics module calculates a series of energy consumption indicators based on the target energy consumption data, such as daily energy consumption indicators, monthly energy consumption indicators and annual energy consumption indicators, providing managers with comprehensive data references, data statistics The metering module also calculates a set of electricity consumption and electricity cost indicators based on the target electricity consumption data and target electricity cost data, such as monthly electricity consumption and electricity cost indicators and annual electricity consumption and electricity cost indicators; the data analysis module can timely detect abnormal energy consumption of the target lighting monitoring system by comparing and analyzing the electricity consumption and electricity cost data with the target energy consumption data, thereby improving the speed and accuracy of fault diagnosis and solving the problem of isolated energy consumption data and inability to deeply mine the data value in the prior art; the alarm module automatically issues an alarm message when abnormal energy consumption and electricity consumption are detected, thereby enhancing the system's early warning capability, helping to take rapid measures for maintenance and adjustment, and improving the management efficiency of the lighting power management system. In summary, the system effectively solves the problem of decentralized electricity consumption data management and lighting monitoring systems in the prior art, realizes the deep mining and application of energy consumption data, and significantly improves the management level and energy efficiency performance of the urban lighting system. The integrated and intelligent management of urban lighting power consumption is realized.

[0006] Optionally, the data acquisition and calculation module is used to obtain target energy consumption data in the following manner: when an energy consumption acquisition module is provided in the target lighting monitoring system, the data acquisition and calculation module is used to obtain the target energy consumption data from the energy consumption acquisition module, wherein the energy consumption acquisition module is used to collect energy consumption data of equipment in the target lighting monitoring system; when no energy consumption acquisition module is provided in the target lighting monitoring system, the data acquisition and calculation module obtains an operating condition data set reported by the target lighting monitoring system, and calculates the target energy consumption data based on the operating condition data set, wherein the operating condition data set includes electrical parameters of the target lighting monitoring system at multiple times within a period of time.

[0007] By adopting the above technical solution, when the target lighting monitoring system is provided with an energy consumption collection module, accurate energy consumption data can be directly obtained from the module, which simplifies the data processing process and improves data accuracy. When the target lighting monitoring system is not provided with an energy consumption collection module, the target energy consumption data can be obtained by collecting working condition data sets and calculating based on these data, ensuring that effective energy consumption monitoring can be achieved even in the absence of dedicated hardware support, thereby improving the adaptability and practicality of the system.

[0008] Optionally, the data acquisition and calculation module calculates the target energy consumption data based on the working condition data set according to the following formula: , U i represents the line voltage at the i-th moment, I i represents the line current at the ith moment, T i+1 represents the i+1th moment, T i represents the i-th moment, cosφ i represents the power factor corresponding to the i-th moment, n represents the n moments included in a period of time, and n is a positive integer greater than or equal to 1.

[0009] By adopting the above technical solution, the urban lighting power management system can accurately calculate the target energy consumption data of the equipment in the target lighting monitoring system. Specifically, when the energy consumption collection module is not set in the target lighting monitoring system, the data collection and calculation module can obtain the working condition data set reported by the target lighting monitoring system, and perform calculations based on the electrical parameters (such as line voltage, line current, power factor, etc.) at each moment contained in the working condition data set, so as to accurately obtain the target energy consumption data. This calculation method not only improves the accuracy of energy consumption data, but also can effectively monitor and evaluate the actual energy consumption of lighting equipment in the absence of special energy consumption collection devices, which helps to timely discover abnormal energy consumption problems and improve the level of lighting power management in the entire city.

[0010] Optionally, the data analysis module is used to obtain analysis results in the following manner: comparing target energy consumption data with target power data; when the ratio of the absolute value of the difference between the target energy consumption data and the target power data to the target power data is greater than or equal to a preset first ratio threshold, obtaining a first result, wherein the first result is used to indicate that there is an abnormality in the energy consumption of the target lighting monitoring system, and the analysis results include the first result; when the ratio of the absolute value of the difference between the target energy consumption data and the target power data to the target power data is less than a preset first ratio threshold, obtaining a second result, wherein the second result is used to indicate that the energy consumption of the target lighting monitoring system is normal, and the analysis results include the second result.

[0011] By adopting the above technical solution, when the absolute value of the difference between the target energy consumption data and the target power data is greater than or equal to the preset first ratio threshold, it indicates that there is a significant difference between the actual energy consumption of the target lighting monitoring system and its power consumption, and there may be equipment failure, leakage or other abnormal conditions. At this time, the system will obtain the first result, that is, the energy consumption of the system is abnormal, and this result will be included in the final analysis report. On the contrary, if the absolute value of the difference between the target energy consumption data and the target power data is less than the preset first ratio threshold, it means that the two are highly matched, and there is no obvious deviation from the normal range. The system will give a second result and determine that the energy consumption of the system is normal. This method based on data comparison can effectively identify potential problem points, improve the operation and maintenance management level of the urban lighting system, and ensure its efficient and stable operation; at the same time, timely and accurate discovery of problems will help take targeted measures to reduce energy waste and improve overall energy efficiency. This system can realize accurate comparative analysis of the energy consumption data and power and electricity bill data of the target lighting monitoring system.

[0012] Optionally, the data analysis module is also used to obtain analysis results in the following manner: comparing the target energy consumption data with the original energy consumption data by device grouping, wherein the original energy consumption data is used to represent the energy consumption data of the target lighting monitoring system in the previous cycle, and the target energy consumption data is used to represent the energy consumption data of the target lighting monitoring system in the current cycle; when the ratio of the absolute value of the difference between the target energy consumption data and the original energy consumption data to the original energy consumption data is greater than or equal to a preset second ratio threshold, a third result is obtained, wherein the third result is used to indicate that there is an abnormality in the energy consumption of the target lighting monitoring system, and the analysis results include the third result; when the ratio of the absolute value of the difference between the target energy consumption data and the original energy consumption data to the original energy consumption data is less than a preset second ratio threshold, a fourth result is obtained, wherein the fourth result is used to indicate that the energy consumption of the target lighting monitoring system is normal, and the analysis results include the fourth result.

[0013] By adopting the above technical solution, the target energy consumption data is compared with the original energy consumption data, and the changing trend of the system energy consumption can be effectively identified. Moreover, since the analysis is performed by device grouping, the lighting equipment with abnormal energy consumption can be quickly located, thereby improving the accuracy of energy consumption management. When the absolute value of the difference between the target energy consumption data and the original energy consumption data is greater than or equal to the preset second ratio threshold, it indicates that the energy consumption of the system has increased or decreased significantly in the current cycle, and there may be equipment failure or other abnormal conditions. At this time, a third result will be generated, prompting the management personnel to take timely measures to troubleshoot the problem. When the absolute value of the difference between the target energy consumption data and the original energy consumption data is less than the preset second ratio threshold, it indicates that the energy consumption change of the system in the current cycle is within the normal range and no special attention is required. At this time, a fourth result will be generated to ensure that the system runs stably and reliably. In summary, the technical solution not only improves the accuracy of energy consumption monitoring, but also can timely discover potential problems and improve the overall efficiency of urban lighting power management; it can realize the comparison of the energy consumption data of the target lighting monitoring system with the original energy consumption data of the previous cycle, so as to determine whether the energy consumption is abnormal.

[0014] Optionally, when the analysis results indicate that there are abnormalities in the energy consumption of the target lighting monitoring system, the data analysis module is also used to display the target lighting equipment, target power data and target energy consumption data in a tabular form and export a report to facilitate the positioning of the target electric meter and the target lighting equipment, wherein the target electric meter is an electric meter included in a group of electric meters corresponding to the target lighting monitoring system, and the target lighting equipment is a lighting equipment with abnormal energy consumption monitored by the target lighting monitoring system.

[0015] By adopting the above technical solution, the energy consumption data and electricity consumption and electricity fee data of the target lighting monitoring system can be comprehensively analyzed, so as to accurately determine whether the energy consumption of the target lighting monitoring system is abnormal. Once an abnormality is detected, the system will automatically display the target lighting equipment with abnormal energy consumption, target electricity consumption data and target energy consumption data in a table form and export the report, so that the management personnel can quickly locate the meter and lighting equipment with the problem, improve the efficiency of troubleshooting, and ensure the normal operation of the urban lighting system and the effectiveness of energy management.

[0016] Optionally, the data statistics module is also used to generate daily energy consumption index statistical charts, monthly energy consumption statistical charts and annual energy consumption statistical charts, and the data statistics module is also used to generate monthly electricity consumption and electricity cost statistical charts and annual electricity consumption and electricity cost index statistical charts based on electricity consumption and electricity cost data; the system also includes a display module for displaying a group of statistical charts, wherein a group of statistical charts includes any one or more of daily energy consumption index statistical charts, monthly energy consumption statistical charts, annual energy consumption statistical charts, monthly electricity consumption and electricity cost statistical charts and annual electricity consumption and electricity cost index statistical charts.

[0017] By adopting the above technical solution, corresponding statistical charts are generated for the daily energy consumption indicators, monthly energy consumption indicators and annual energy consumption indicators of the equipment in the target lighting monitoring system, and relevant statistical charts are generated according to the power consumption and electricity fee data, thereby realizing an intuitive display of various energy consumption data, which is convenient for managers to quickly understand the energy consumption in different time periods; an additional display module is added to centrally display various types of statistical charts, including but not limited to daily energy consumption charts, monthly energy consumption charts, annual energy consumption charts and their corresponding power consumption and electricity fee statistical charts, which further improves the convenience of data management and viewing, helps to discover problems in time and take corresponding measures to optimize energy consumption management; detailed data charts not only facilitate managers to grasp real-time dynamics, but also serve as an important reference to support the long-term planning and short-term adjustment strategy formulation of urban lighting systems, and promote rational allocation and efficient use of resources.

[0018] Optionally, the alarm module sends alarm information to management personnel via SMS, email or push notification.

[0019] By adopting the above technical solution, when there is an abnormality in the energy consumption of the target lighting monitoring system, the alarm module can send alarm information to the management personnel via SMS, email or push notification, ensuring that the management personnel can be informed of the abnormal situation at the first time, thereby improving management efficiency.

[0020] Optionally, the electric meter management module is further used to batch import a target correspondence data table, wherein the target correspondence data table records the correspondence between the lighting control cabinet number where each lighting monitoring system is located and the associated electric meter number.

[0021] By adopting the above technical solution, the meter management module allows users to batch import a target correspondence data table, which records the correspondence between the lighting control cabinet number of each lighting monitoring system and the associated meter number. Through this correspondence, the system can associate the lighting monitoring system with the corresponding meter data, which is especially convenient for management and analysis for large-scale lighting. By ensuring the accurate correspondence between the lighting monitoring system and the meter data, the system can provide more accurate energy consumption analysis, and quickly locate the relevant lighting control cabinets and meters when energy consumption anomalies or other problems occur, which helps to solve the problem in a timely manner.

[0022] Optionally, the system is also used to use the LSTM model to train historical data and establish a power consumption prediction model, wherein the historical data includes historical energy consumption data of equipment in the target lighting monitoring system; based on the target energy consumption data, the target energy consumption data is predicted using the power consumption prediction model to obtain a prediction result, wherein the prediction result is used to represent the power consumption development trend of the target lighting monitoring system.

[0023] By adopting the above technical solution, the system can use the long short-term memory network (LSTM) model to train historical energy consumption data and establish a power consumption prediction model. This model can accurately predict the future power consumption trend of the target lighting monitoring system, thereby helping managers to plan and adjust power consumption in advance, improve energy utilization, and reduce unnecessary waste; at the same time, through in-depth analysis of historical data, potential problems and abnormal situations can also be discovered, further improving the stability and reliability of the system.

[0024] In the second aspect, the present application also provides a method for managing urban lighting electricity consumption, which is applied to the aforementioned system, including: obtaining target energy consumption data of equipment in the target lighting monitoring system; importing a set of information data and electricity consumption and electricity fee data of electric meters, wherein the electricity consumption and electricity fee data include target electricity consumption data and target electricity fee data generated by the power department measuring the electricity consumption of equipment in the target lighting monitoring system; obtaining a set of energy consumption indicators for equipment in the target lighting monitoring system based on the target energy consumption data, and counting a set of electricity consumption and electricity fee indicators for equipment in the target lighting monitoring system based on the target electricity consumption data and the target electricity fee data, and analyzing whether there are abnormalities in the energy consumption and electricity consumption of the target lighting monitoring system based on the target energy consumption data and the electricity consumption and electricity fee data; and issuing an alarm message when it is determined that there are abnormalities in the energy consumption and electricity consumption of the target lighting monitoring system.

[0025] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages: 1. It can timely detect abnormal energy consumption of the target lighting monitoring system, improving the speed and accuracy of fault diagnosis; the alarm module automatically issues an alarm message when abnormal energy consumption is detected, enhancing the system's early warning capability, helping to quickly take measures for maintenance and adjustment, and improving the management efficiency of the lighting power management system; 2. The data comparison-based method can effectively identify potential problem points, improve the operation and maintenance management level of the urban lighting system, and ensure its efficient and stable operation; at the same time, timely and accurate identification of problems will help to take targeted measures to reduce energy waste and improve overall energy efficiency; 3. It is possible to compare the energy consumption data of the target lighting monitoring system with the original energy consumption data of the previous cycle to determine whether there is any abnormality in energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is an architecture diagram of a city lighting power management system provided by an embodiment of the present application; Figure 2 This is a flow chart of a method for managing urban lighting electricity consumption provided by an embodiment of the present application; Figure 3 This is a structural diagram of an intelligent management system for urban lighting monitoring provided by an embodiment of the present application; Figure 4 This is a flow chart of intelligent management of urban lighting monitoring provided by an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0028] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0029] In the description of the embodiments of the present application, the term "plurality" means two or more. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0030] Combine the following Figure 1-Figure 4 The embodiments of the present application are described.

[0031] This application provides a city lighting power management system, such as Figure 1 As shown, Figure 1 This is an architecture diagram of a city lighting power management system provided by an embodiment of the present application, including: A data acquisition and calculation module, used to obtain target energy consumption data of equipment in a target lighting monitoring system, where the target lighting monitoring system is any lighting monitoring system in a regional lighting master monitoring system; An electric meter management module, used for batch importing information data of a group of electric meters, wherein each lighting monitoring system in the regional lighting master monitoring system corresponds to one electric meter in the group of electric meters; The power consumption and electricity fee management module is used to import power consumption and electricity fee data, wherein the power consumption and electricity fee data include target power consumption data and target electricity fee data generated by the power department measuring the power consumption of the equipment in the target lighting monitoring system; A database for storing target energy consumption data, information data of a group of electric meters, and electric power consumption and electricity fee data; A data statistics module is used to calculate a set of energy consumption indicators of the equipment in the target lighting monitoring system according to the target energy consumption data, and to calculate a set of power consumption and electricity cost indicators of the equipment in the target lighting monitoring system according to the target power consumption data and the target electricity cost data, wherein a set of energy consumption indicators includes a daily energy consumption indicator, a monthly energy consumption indicator and an annual energy consumption indicator, and a set of power consumption and electricity cost indicators includes a monthly power consumption and electricity cost indicator and an annual power consumption and electricity cost indicator; A data analysis module is used to analyze the power consumption and electricity fee data and the target energy consumption data to obtain an analysis result, wherein the analysis result is used to indicate whether there is an abnormality in the energy consumption of the target lighting monitoring system; The alarm module is used to issue an alarm message when it is determined that the energy consumption and power consumption of the target lighting monitoring system are abnormal.

[0032] In the above embodiments, the data acquisition and calculation module can obtain the target energy consumption data of the equipment in the target lighting monitoring system in real time, thereby improving the timeliness and accuracy of the data; the electric meter management module supports batch import of information data of a group of electric meters, simplifies the data entry process, and improves management efficiency; the power consumption and electricity fee management module can import the target power consumption data and target electricity fee data provided by the power department, thereby ensuring the authority and reliability of the data source; the data statistics module generates a series of energy consumption indicators based on the target energy consumption data, such as daily energy consumption indicators, monthly energy consumption indicators, and annual energy consumption indicators, thereby providing managers with comprehensive data references. The module also calculates a set of electricity consumption and electricity cost indicators based on the target electricity consumption data and target electricity cost data, such as monthly electricity consumption and electricity cost indicators and annual electricity consumption and electricity cost indicators; the data analysis module can timely detect abnormal energy consumption of the target lighting monitoring system by comparing and analyzing the electricity consumption and electricity cost data with the target energy consumption data, thereby improving the speed and accuracy of fault diagnosis and solving the problem of isolated energy consumption data and inability to deeply mine the data value in the prior art; the alarm module automatically issues an alarm message when abnormal energy consumption and electricity consumption are detected, thereby enhancing the system's early warning capability, helping to quickly take measures for maintenance and adjustment, and improving the management efficiency of the lighting power management system. In summary, the system effectively solves the problem of decentralized electricity consumption data management and lighting monitoring systems in the prior art, realizes the deep mining and application of energy consumption data, and significantly improves the management level and energy efficiency performance of the urban lighting system. The integrated and intelligent management of urban lighting power consumption is realized.

[0033] The data acquisition and calculation module in this embodiment is responsible for obtaining the actual energy consumption data of the equipment from the target lighting monitoring system, and can monitor the energy consumption of the lighting equipment in real time, and provide accurate data for subsequent data analysis and management; the meter management module is used to batch import meter information. For example, the entire regional lighting monitoring system contains 1,000 meters, and all meter information can be batch imported through the meter management module. Each meter information may include user number, user name, installation location, label, and control cabinet, so that each lighting monitoring system can be associated with a specific meter, realizing the centralized and batch management of meter data, and facilitating the tracking and monitoring of the electricity consumption of each lighting monitoring system; in actual applications, when importing meter information, the corresponding relationship table between the meter and the lighting control cabinet can also be imported synchronously; the system also provides a module for importing the electricity consumption and electricity fee data provided by the power department (or called the power industry department), ensuring the timely update and consistency of the data, and the electricity consumption and electricity fee management module is used to import the electricity consumption and electricity fee data provided by the power department, realizing the centralized management of the electricity consumption and electricity fee data, and facilitating the connection with the energy The energy consumption data can be compared and analyzed; based on the collected target energy consumption data, the energy consumption indicators of different time periods (day, month, year) can be counted, providing managers with detailed energy consumption analysis. The data statistics module calculates the daily, monthly and annual energy consumption indicators based on the energy consumption data, providing comprehensive energy consumption statistics data, which is convenient for energy consumption analysis and management; the data analysis module conducts a comprehensive analysis of the power consumption and electricity bill data and the energy consumption data to determine whether there are abnormalities in energy consumption and power consumption, solving the problem of isolated energy consumption data and inability to deeply mine data value in the existing technology. Through data analysis, energy consumption anomalies can be found, providing decision support for energy conservation and emission reduction, so that energy consumption data is not limited to display, but becomes an important basis for decision support; when abnormalities in energy consumption and power consumption are detected, the alarm module will also issue alarm information in time, solving the problem of lack of real-time monitoring and alarm mechanism in the existing technology, improving the response speed to energy consumption anomalies, helping to take measures in time and reduce energy waste. The alarm mechanism can help quickly locate the source of the problem, take corrective measures in time, and avoid unnecessary energy waste. Systematized and automated management reduces the need for manual intervention and improves the scientificity and standardization of overall management. This embodiment significantly improves the efficiency of urban lighting power management through an integrated management module and automated data processing flow. Through the data analysis module, it realizes the deep integration and comprehensive analysis of electricity consumption data and energy consumption data, providing more comprehensive and accurate information support for management decisions. Through the alarm module, it realizes real-time monitoring and rapid response to energy consumption anomalies, effectively reducing the risks and losses caused by energy consumption anomalies. Through comprehensive and accurate energy consumption monitoring and analysis, the system helps to discover energy consumption problems and take timely measures to improve them, thereby promoting energy conservation and emission reduction in urban lighting.

[0034] Each of the above-mentioned lighting monitoring systems includes a monitoring device and a corresponding lighting device. The monitoring device can be a lighting centralized controller device (or simply referred to as a centralized controller), or a single light controller device (or simply referred to as a single light controller). A single light controller corresponds to a lighting device (such as a street light), and a centralized controller corresponds to one or more lighting devices. Usually, the monitoring device (such as a centralized controller) in a lighting monitoring system can be installed in a distribution cabinet (or lighting control cabinet). Each lighting monitoring system corresponds to a lighting control cabinet. Each of the above-mentioned lighting monitoring systems can also be understood as a lighting control cabinet that each lighting centralized controller acts on, that is, each electric meter corresponds to a lighting control cabinet. For a regional lighting master monitoring system, it includes multiple of the above-mentioned lighting monitoring systems, and the target lighting monitoring system is just any one of the lighting monitoring systems. The information data of the above-mentioned group of electric meters can also include the corresponding relationship between each electric meter and the lighting control cabinet. Each lighting monitoring system has a corresponding lighting control cabinet.

[0035] In an optional embodiment, the data acquisition and calculation module is used to obtain target energy consumption data in the following manner: when an energy consumption acquisition module is provided in the target lighting monitoring system, the data acquisition and calculation module is used to obtain the target energy consumption data from the energy consumption acquisition module, wherein the energy consumption acquisition module is used to collect energy consumption data of equipment in the target lighting monitoring system; when no energy consumption acquisition module is provided in the target lighting monitoring system, the data acquisition and calculation module obtains an operating condition data set reported by the target lighting monitoring system, and calculates the target energy consumption data based on the operating condition data set, wherein the operating condition data set includes electrical parameters of the target lighting monitoring system at multiple times within a period of time.

[0036] In the above embodiment, when the target lighting monitoring system is provided with an energy consumption collection module, accurate energy consumption data can be directly obtained from the module, which simplifies the data processing process and improves data accuracy. When the target lighting monitoring system is not provided with an energy consumption collection module, the target energy consumption data can be obtained by collecting working condition data sets and calculating based on these data, ensuring that effective energy consumption monitoring can be achieved even in the absence of dedicated hardware support, thereby improving the adaptability and practicality of the system.

[0037] When the target lighting monitoring system is provided with an energy consumption acquisition module, the data acquisition and calculation module directly obtains (or reads) energy consumption data from the module. For example, the energy consumption acquisition module can directly record the power consumption of the lighting equipment and monitoring equipment monitored by the target lighting monitoring system over a period of time. The energy consumption acquisition module is specifically used to monitor and record the energy consumption of the equipment in real time. When the target lighting monitoring system is not provided with an energy consumption acquisition module, the data acquisition and calculation module relies on the working condition data set, which contains the electrical parameters (such as voltage, current, etc.) of the target lighting monitoring system over a period of time. For example, the working condition data set may include a set of electrical parameters collected by the target lighting monitoring system at each preset time interval (such as 10 minutes, 15 minutes, or other time lengths) within a period of time (such as 18:00 the previous day to 6:00 the next day). The data acquisition and calculation module performs calculations based on these electrical parameters to derive the target energy consumption data. Many existing lighting monitoring systems may not be equipped with energy consumption collection modules, resulting in the inability to obtain energy consumption data. This embodiment allows the system to calculate energy consumption through the operating condition data set in the absence of a dedicated module, which enhances the compatibility and applicability of the system and avoids the problem in related technologies that the current and voltage values ​​at a certain moment are used to calculate the energy consumption value of the equipment, which easily leads to large errors and distortion. Whether it is an existing or newly built urban lighting system, a suitable way can be found to incorporate it into a unified energy consumption management framework, enhancing the flexibility and scalability of the system; no matter which method is used to obtain energy consumption data, it can ultimately provide solid data support for energy-saving and emission reduction measures and help make more scientific and reasonable decisions.

[0038] In an optional embodiment, the data acquisition and calculation module calculates the target energy consumption data based on the operating condition data set according to the following formula: , U i represents the line voltage at the i-th moment, I i represents the line current at the ith moment, T i+1 represents the i+1th moment, T i represents the i-th moment, cosφ i represents the power factor corresponding to the i-th moment, n represents the n moments included in a period of time, and n is a positive integer greater than or equal to 1.

[0039] In the above embodiment, the urban lighting power management system can accurately calculate the target energy consumption data of the equipment in the target lighting monitoring system. Specifically, when the energy consumption collection module is not set in the target lighting monitoring system, the data collection and calculation module can obtain the working condition data set reported by the target lighting monitoring system, and perform calculations based on the electrical parameters (such as line voltage, line current, power factor, etc.) at each moment contained in the working condition data set, so as to accurately obtain the target energy consumption data. This calculation method not only improves the accuracy of energy consumption data, but also can effectively monitor and evaluate the actual energy consumption of lighting equipment without a special energy consumption collection device, which helps to timely discover abnormal energy consumption problems and improve the lighting power management level of the entire city.

[0040] In the related art, the energy consumption calculation results may be inaccurate due to factors such as inaccurate data acquisition, unreasonable calculation methods, or failure to consider power factor. This embodiment calculates the total energy consumption E by accumulating the power consumption in each hour period. The power consumption in each hour period is determined by the voltage, current, power factor and the duration of the hour period; real-time energy consumption calculation enables the system to detect energy consumption anomalies in a timely manner, providing the possibility for rapid response and adjustment. By considering the power factor, the system can more comprehensively evaluate energy utilization efficiency and provide a basis for optimizing energy allocation and use. Accurate energy consumption data and real-time monitoring capabilities provide support for intelligent decision-making, which helps to achieve more efficient energy management and cost savings. Continuous calculation based on data at multiple times can monitor energy consumption changes in real time, detect abnormal situations in a timely manner, and help to respond and process quickly. In the above formula, when i=0, T0 represents the lighting time of the lighting equipment. For example, the lights are turned on at 18:00 every afternoon. When i=n-1, T n-1 Indicates the time when the lighting equipment is turned off.

[0041] In an optional embodiment, the data analysis module is used to obtain the analysis result in the following manner: comparing the target energy consumption data with the target power data; when the ratio of the absolute value of the difference between the target energy consumption data and the target power data to the target power data is greater than or equal to a preset first ratio threshold, obtaining a first result, wherein the first result is used to indicate that there is an abnormality in the energy consumption of the target lighting monitoring system, and the analysis result includes the first result; when the ratio of the absolute value of the difference between the target energy consumption data and the target power data to the target power data is less than a preset first ratio threshold, obtaining a second result, wherein the second result is used to indicate that the energy consumption of the target lighting monitoring system is normal, and the analysis result includes the second result.

[0042] In the above embodiment, when the absolute value of the difference between the target energy consumption data and the target power data is greater than or equal to the preset first ratio threshold, it indicates that there is a significant difference between the actual energy consumption of the target lighting monitoring system and its power consumption, and there may be equipment failure, leakage or other abnormal conditions. At this time, the system will obtain the first result, that is, the energy consumption of the system is abnormal, and this result will be included in the final analysis report. On the contrary, if the absolute value of the difference between the target energy consumption data and the target power data is less than the preset first ratio threshold, it means that the degree of match between the two is high, and there is no obvious deviation from the normal range. The system will give a second result and determine that the energy consumption of the system is normal. This method based on data comparison can effectively identify potential problem points, improve the operation and maintenance management level of the urban lighting system, and ensure its efficient and stable operation; at the same time, timely and accurate discovery of problems will help to take targeted measures to reduce energy waste and improve overall energy efficiency. This system can realize accurate comparative analysis of the energy consumption data and power and electricity bill data of the target lighting monitoring system.

[0043] The data analysis module in this embodiment is used to compare the target energy consumption data with the target power data, and judge whether the energy consumption of the target lighting monitoring system is abnormal according to the ratio of the difference between the two and the target power data. Specifically, the module first calculates the absolute value of the difference between the target energy consumption data and the target power data, and then compares the ratio of this difference to the target power data with the preset first ratio threshold. If the ratio is greater than or equal to the preset first ratio threshold, it is determined that the energy consumption of the target lighting monitoring system is abnormal, and a first result is generated; if the ratio is less than the preset first ratio threshold, it is determined that the energy consumption of the target lighting monitoring system is normal, and a second result is generated. For example, the above-mentioned preset first ratio threshold can be 15% (or 10%, or other values). In the relevant technology, energy consumption data and power and electricity bill data are usually managed and used separately, lacking effective correlation analysis. The existing technology is not accurate enough for the energy consumption monitoring of the lighting monitoring system, and it is impossible to detect abnormal energy consumption in time. At the same time, it also lacks an automated judgment method to quickly determine whether the energy consumption is abnormal. Through this embodiment, the need for manual intervention is reduced, management efficiency is improved, and the possibility of human error is reduced. By accurately analyzing energy consumption in different time periods and regions, managers can better understand the actual energy consumption of each part and achieve more refined energy management. Accurate energy consumption anomaly detection and analysis can help discover energy-saving potential and promote the implementation of energy-saving and emission reduction measures.

[0044] In an optional embodiment, the data analysis module is also used to obtain the analysis results in the following manner: comparing the target energy consumption data with the original energy consumption data by device grouping, wherein the original energy consumption data is used to represent the energy consumption data of the target lighting monitoring system in the previous cycle, and the target energy consumption data is used to represent the energy consumption data of the target lighting monitoring system in the current cycle; when the absolute value of the difference between the target energy consumption data and the original energy consumption data and the ratio of the original energy consumption data are greater than or equal to a preset second ratio threshold, a third result is obtained, wherein the third result is used to indicate that there is an abnormality in the energy consumption of the target lighting monitoring system, and the analysis results include the third result; when the absolute value of the difference between the target energy consumption data and the original energy consumption data and the ratio of the original energy consumption data are less than the preset second ratio threshold, a fourth result is obtained, wherein the fourth result is used to indicate that the energy consumption of the target lighting monitoring system is normal, and the analysis results include the fourth result.

[0045] In the above embodiment, the target energy consumption data is compared with the original energy consumption data according to the device group, which can effectively identify the change trend of the system energy consumption, and because the analysis is performed according to the device group, the lighting equipment with abnormal energy consumption can be quickly located, thereby improving the accuracy of energy consumption management. When the absolute value of the difference between the target energy consumption data and the original energy consumption data is greater than or equal to the preset second ratio threshold, it indicates that the energy consumption of the system in the current cycle has increased or decreased significantly, and there may be equipment failure or other abnormal conditions. At this time, a third result will be generated to prompt the management personnel to take measures to troubleshoot the problem in time. When the absolute value of the difference between the target energy consumption data and the original energy consumption data is less than the preset second ratio threshold, it indicates that the energy consumption change of the system in the current cycle is within the normal range and no special attention is required. At this time, a fourth result will be generated to ensure that the system runs stably and reliably. Through this embodiment, not only the accuracy of energy consumption monitoring is improved, but also potential problems can be discovered in time, and the overall efficiency of urban lighting power management can be improved; the energy consumption data of the target lighting monitoring system can be compared with the original energy consumption data of the previous cycle, so as to determine whether the energy consumption is abnormal.

[0046] This embodiment determines whether the energy consumption of the target lighting monitoring system is abnormal by comparing the target energy consumption data with the original energy consumption data. The target energy consumption data here refers to the energy consumption data in the current cycle, and the original energy consumption data refers to the energy consumption data in the previous cycle. In actual applications, the original energy consumption data is stored in the database of the system. The original energy consumption data can be the energy consumption data of the target lighting monitoring system in the previous month, or it can be the energy consumption data of the same period of the previous year as the current cycle. The purpose of performing monthly month-on-month and year-on-year analysis of the energy consumption data is achieved, and whether the energy consumption of the target lighting monitoring system is abnormal can be effectively monitored. For example, the above-mentioned preset second ratio threshold can be 30% (or 40%, or other values). In the related art, the energy consumption data can only be compared by manual review, resulting in low efficiency; by introducing the periodic comparison method, the periodic evaluation of energy consumption is achieved, which is helpful to analyze the changing trend of energy consumption and formulate corresponding management strategies. Accurate and timely energy consumption evaluation results can provide strong support for decision makers, helping them to formulate more reasonable energy consumption management strategies and reduce energy consumption and costs. In addition, by introducing historical data comparison, abnormal energy consumption can be captured more keenly, especially those problems that are not obvious in the short term but gradually emerge over a long period of time; periodic comparison helps to identify changes in energy consumption trends, enabling managers to predict future energy consumption needs and take corresponding adjustment measures in advance; periodic energy consumption data comparison enables managers to understand the energy consumption status of each time period more carefully, thereby achieving more refined and effective energy management.

[0047] Optionally, it is also possible to determine whether there is an abnormality in the control system in the lighting monitoring system based on the analysis results. For example, according to the pre-set lighting equipment, it is lit at full power and half power in two time periods respectively. However, if it is found from the energy consumption data obtained that the total power consumption in the two time periods is close, then it means that there may be an abnormality in the control system (or dimming system) of the urban lighting.

[0048] In an optional embodiment, when the analysis results indicate that there is an abnormality in the energy consumption of the target lighting monitoring system, the data analysis module is also used to display the target lighting equipment, target power data and target energy consumption data in a tabular form and export a report to facilitate the positioning of the target electric meter and the target lighting equipment, wherein the target electric meter is an electric meter included in a group of electric meters corresponding to the target lighting monitoring system, and the target lighting equipment is a lighting equipment with abnormal energy consumption monitored by the target lighting monitoring system.

[0049] In the above embodiment, the energy consumption data and the electricity consumption and electricity fee data of the target lighting monitoring system can be comprehensively analyzed to accurately determine whether the energy consumption of the target lighting monitoring system is abnormal. Once an abnormality is detected, the system will automatically display the target lighting equipment with abnormal energy consumption, target electricity consumption data and target energy consumption data in a table form and export a report, which is convenient for management personnel to quickly locate the electric meter and lighting equipment with the problem, improve the efficiency of troubleshooting, and ensure the normal operation of the urban lighting system and the effectiveness of energy management.

[0050] In this embodiment, if energy consumption anomalies are detected, the data analysis module will prepare the target lighting devices, target power data, and target energy consumption data related to the energy consumption anomalies, and then display these data in a table format so that the user can intuitively see the target lighting devices, power, and energy consumption information related to the abnormal energy consumption. The data analysis module will export these data into reports for further analysis and processing by the user. By displaying the target lighting devices, target power data, and target energy consumption data in a table format, the user can more intuitively see the data related to the abnormal energy consumption, thereby locating the problem more quickly. The automated report generation function reduces the workload of the user in manually collating and summarizing data, reduces the possibility of errors, and improves work efficiency. Combined with the information of the target electric meter and the target lighting device, the user can more accurately locate the specific electric meter and lighting device that causes the energy consumption anomaly, thereby taking more effective measures to solve the problem.

[0051] In an optional embodiment, the data statistics module is also used to generate daily energy consumption index statistical charts, monthly energy consumption statistical charts and annual energy consumption statistical charts, and the data statistics module is also used to generate monthly electricity consumption and electricity cost statistical charts and annual electricity consumption and electricity cost index statistical charts based on electricity consumption and electricity cost data; the system also includes a display module for displaying a set of statistical charts, wherein a set of statistical charts includes any one or more of daily energy consumption index statistical charts, monthly energy consumption statistical charts, annual energy consumption statistical charts, monthly electricity consumption and electricity cost statistical charts and annual electricity consumption and electricity cost index statistical charts.

[0052] In the above embodiment, by generating corresponding statistical charts for the daily energy consumption indicators, monthly energy consumption indicators and annual energy consumption indicators of the equipment in the target lighting monitoring system, and generating relevant statistical charts based on the power consumption and electricity fee data, an intuitive display of various energy consumption data is achieved, which is convenient for managers to quickly understand the energy consumption in different time periods; an additional display module is provided for centrally displaying various types of statistical charts, including but not limited to daily energy consumption charts, monthly energy consumption charts, annual energy consumption charts and their corresponding power consumption and electricity fee statistical charts, which further improves the convenience of data management and viewing, helps to discover problems in a timely manner and take corresponding measures to optimize energy consumption management; detailed data charts not only facilitate managers to grasp real-time dynamics, but also serve as an important reference basis to support the long-term planning and short-term adjustment strategy formulation of urban lighting systems, and promote rational allocation and efficient use of resources.

[0053] The data statistics module collects energy consumption and electricity cost data from the system and performs statistics and analysis according to different time periods (day, month, year); based on the statistical results, the data statistics module generates corresponding statistical charts, which intuitively display the changing trends and distribution of energy consumption and electricity cost; the display module displays one or more of these statistical charts according to user needs or preset settings, so that users can clearly understand the energy consumption and electricity cost of the system. The display module can display different statistical charts according to user needs or preset settings, which improves the flexibility of the system and user experience. It should be noted that the aforementioned embodiment takes the target lighting monitoring system as an example, while for the regional lighting total monitoring system, the total energy consumption data and total electricity cost data of the entire regional lighting can be counted.

[0054] In an optional embodiment, the alarm module sends alarm information to the management personnel via SMS, email or push notification.

[0055] In the above embodiment, when the energy consumption of the target lighting monitoring system is abnormal, the alarm module can send alarm information to the management personnel by SMS, email or push notification, so as to ensure that the management personnel can be informed of the abnormal situation in the first time, so as to quickly take measures to deal with it, and avoid economic losses and safety hazards caused by abnormal energy consumption. The urban lighting power management system can monitor and analyze the energy consumption of each lighting monitoring system in real time, and detect abnormalities in time to improve management efficiency.

[0056] In an optional embodiment, the electric meter management module is further used to batch import a target correspondence data table, wherein the target correspondence data table records the correspondence between the lighting control cabinet number where each lighting monitoring system is located and the associated electric meter number.

[0057] In the above embodiment, the electric meter management module allows users to batch import a target correspondence data table, which records the correspondence between the lighting control cabinet number of each lighting monitoring system and the associated electric meter number. Through this correspondence, the system can associate the lighting monitoring system with the corresponding electric meter data, which is convenient for management and analysis, especially for large-scale lighting. By ensuring the accurate correspondence between the lighting monitoring system and the electric meter data, the system can provide more accurate energy consumption analysis, and quickly locate the relevant lighting control cabinets and electric meters when energy consumption anomalies or other problems occur, which helps to solve the problem in a timely manner.

[0058] This embodiment can greatly reduce the workload of manual input by batch importing the target corresponding relationship data table, improve the efficiency of data entry, reduce the risk of misoperation caused by manual entry one by one, and ensure the consistency and accuracy of data in the system. By centrally managing the corresponding relationship data table, it is more convenient to query, update and delete data, thereby simplifying the process of data management and maintenance.

[0059] Optionally, the above database is also used to store the target correspondence data table, that is, the database is used to store the target energy consumption data, the electricity consumption and electricity fee data, the information data of a group of electricity meters and the target correspondence data table. The introduction of the database enables all key data (such as target energy consumption data, electricity consumption and electricity fee data, the information data of a group of electricity meters and the target correspondence data table) to be centrally stored and managed, thereby improving the speed and accuracy of data processing; the centrally stored data facilitates subsequent data analysis and statistics, helps to quickly generate various energy consumption indicators and reports, and improves management efficiency; through the comprehensive management of target energy consumption data and electricity consumption and electricity fee data, it can better support the energy consumption anomaly detection function, ensure the timely discovery and handling of potential problems, and improve the reliability and stability of the system. The system can achieve comprehensive management and efficient monitoring of urban lighting electricity consumption.

[0060] In an optional embodiment, the data analysis module is also used to perform energy-saving evaluation on the equipment in the target lighting monitoring system based on the target energy consumption data and the rated energy consumption data.

[0061] In the above embodiment, the data analysis module can also perform energy-saving evaluation on the equipment in the target lighting monitoring system according to the target energy consumption data and the rated energy consumption data, for example, it can calculate the energy saving rate, further optimize energy use, and improve energy efficiency. The urban lighting power management system provided in this embodiment can effectively improve the level of power management of urban lighting and promote energy conservation and emission reduction. For example, the rated power consumption of the equipment (including monitoring equipment and lighting equipment) in the target lighting monitoring system is 1000KW, and the actual target energy consumption data is 900KW, then the energy saving rate is: (1000-900) / 1000=10%. The system can also display the energy saving rate through the display module.

[0062] In an optional embodiment, the system is also used to use the LSTM model to train historical data to establish a power consumption prediction model, wherein the historical data includes historical energy consumption data of equipment in the target lighting monitoring system; based on the target energy consumption data, the target energy consumption data is predicted using the power consumption prediction model to obtain a prediction result, wherein the prediction result is used to represent the power consumption development trend of the target lighting monitoring system.

[0063] In the above embodiment, the system can use the long short-term memory network (LSTM) model to train the historical energy consumption data and establish a power consumption prediction model. The model can accurately predict the future power consumption trend of the target lighting monitoring system, thereby helping managers to prepare lighting strategies, energy-saving dimming and power consumption planning and adjustments in advance, improve energy utilization, and reduce unnecessary waste; at the same time, through in-depth analysis of historical data, potential problems and abnormal situations can also be discovered, further improving the stability and reliability of the system.

[0064] The system uses the LSTM model, which is a special recurrent neural network (RNN) that is particularly suitable for processing and predicting time series data. By training the historical energy consumption data of the equipment in the target lighting monitoring system, the system can learn the patterns and trends in these data; after training, the system establishes a power consumption prediction model that can predict future energy consumption based on historical data. When new target energy consumption data is input, the system will use the established power consumption prediction model to analyze the data and predict the power consumption trend in the future. By introducing advanced machine learning algorithms, the technical level of the entire lighting power management system has been improved, and the development towards intelligence and automation has been promoted. Through accurate power consumption prediction, the system can better optimize energy distribution and improve energy utilization efficiency. Accurate power consumption prediction helps reduce energy waste and thus reduce operating costs; by predicting peak and trough power consumption, the system can prepare in advance and improve the stability and reliability of the power grid. Of course, the power consumption of equipment in the entire regional lighting control system can also be predicted.

[0065] The present application also provides a method for managing urban lighting electricity consumption, which is applied to the system of any of the above embodiments. Figure 2 This is a flow chart of a method for managing urban lighting power consumption provided by an embodiment of the present application, the process comprising: Step S201, obtaining target energy consumption data of equipment in a target lighting monitoring system; Step S202, importing a set of information data of electric meters and electric quantity and electric quantity charge data, wherein the electric quantity and electric quantity charge data include target electric quantity data and target electric quantity charge data generated by the electric power department for measuring the electric quantity usage of the equipment in the target lighting monitoring system; Step S203, obtaining a set of energy consumption indicators of the equipment in the target lighting monitoring system according to the target energy consumption data, calculating a set of power consumption and electricity cost indicators of the equipment in the target lighting monitoring system according to the target power consumption data and the target electricity cost data, and analyzing whether there is an abnormality in the energy consumption and power consumption of the target lighting monitoring system according to the target energy consumption data and the power consumption and electricity cost data; Step S204: When it is determined that the energy consumption and power usage of the target lighting monitoring system are abnormal, an alarm message is issued.

[0066] Through the above steps, the system obtains the target energy consumption data of the equipment in the target lighting monitoring system, imports the electricity consumption and electricity fee data, and calculates the energy consumption indicators of different time scales such as day, month, and year based on the target energy consumption data. The system analyzes the target energy consumption data and electricity consumption and electricity fee data to determine whether there are abnormal energy consumption and electricity consumption. Once abnormal energy consumption and electricity consumption are detected, the system will issue an alarm message to prompt the management personnel to pay attention. Through the automated acquisition and analysis of energy consumption data, the efficiency of energy consumption management is improved. Comprehensive consideration of energy consumption data and electricity consumption and electricity fee data makes energy consumption assessment more comprehensive and accurate, which helps to achieve refined energy management. Systematic analysis methods enhance the ability to discover abnormal energy consumption and help to take timely measures. Accurate energy consumption management and abnormality detection help to discover energy-saving potential and promote the implementation of energy-saving and emission reduction measures. By timely discovering and handling energy consumption anomalies, it helps to improve the stability and reliability of the lighting system.

[0067] In the power management method provided in the embodiment of the present application, the methods for obtaining target energy consumption data are flexible and diverse, which not only supports direct reading of data from the existing energy consumption collection module, but also can calculate the target energy consumption data based on the working condition data set, ensuring that the actual energy consumption of the equipment can be accurately evaluated even in the absence of a special monitoring device. The function of importing meter information data and power consumption and electricity fee data simplifies the data entry process, realizes automatic management and updating, and avoids errors and delays that may be caused by manual operation. Calculating and counting energy consumption indicators of various periods (such as days, months, and years) helps to fully grasp the energy consumption status in each time period, which is convenient for long-term planning and short-term adjustment. The method of comparing and analyzing target energy consumption data with power consumption and electricity fee data and other historical data can timely discover potential problems, improve the speed and accuracy of fault diagnosis, and reduce economic losses caused by abnormal energy consumption. Automatically triggering the alarm mechanism when an abnormality is detected further enhances the responsiveness and security of the system, prompting managers to take measures to solve the problem quickly. The design of visually displaying various statistical data charts improves the user experience, enables decision makers to understand the system status more intuitively, and assists in making more reasonable judgments and decisions. The electricity consumption prediction model constructed using machine learning algorithms provides a scientific basis for future energy-saving strategies and promotes optimal resource allocation and technological progress.

[0068] It should be noted that: the urban lighting power management system provided in the above embodiment only uses the division of the above-mentioned functional modules as an example when realizing its functions. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the equipment can be divided into different functional modules to complete all or part of the functions described above.

[0069] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The present application will be described in detail below in conjunction with specific embodiments.

[0070] The embodiments of the present application provide an intelligent energy consumption statistics and electricity management system and method for urban lighting monitoring to solve the current problems of large errors in energy consumption calculation in urban lighting monitoring, as well as the low efficiency of electricity management and the inability to deeply mine the value of data due to the separate management of energy consumption data and electricity data.

[0071] Figure 3 It is a structural diagram of an intelligent management system for urban lighting monitoring provided in an embodiment of the present application, including: a lighting energy consumption data collection and calculation module (corresponding to the aforementioned data collection and calculation module), an electric meter management module, an electricity consumption and electricity fee management module, a database, an electricity consumption and electricity fee and energy consumption data analysis module (corresponding to the aforementioned data analysis module) and an electricity consumption and energy consumption data statistics module (corresponding to the aforementioned data statistics module).

[0072] The lighting energy consumption data collection and calculation module is used to collect and calculate the energy consumption data of the equipment in the lighting monitoring system (corresponding to the aforementioned target energy consumption data). The collection can be carried out through the lighting monitoring equipment, such as Figure 3 As shown, the lighting monitoring equipment can be a lighting centralized controller or a single lamp controller, and the energy consumption data is collected in the following way: the lighting centralized controller and the single lamp controller are equipped with a built-in energy consumption collection module. From the time when the lights are turned on every day to the time when the lights are turned off the next day, the energy consumption collection module will collect the energy consumption data of the equipment and report it to the platform (or system). The platform will summarize and calculate the daily energy consumption data of each device and store it in the energy consumption database.

[0073] However, in actual urban lighting monitoring application scenarios, not all lighting monitoring equipment supports the energy consumption collection function, and the energy consumption data cannot be read directly through the equipment. Therefore, the platform needs to calculate the energy consumption of the lighting equipment based on the working condition data reported by the equipment. This application discloses an equipment energy consumption algorithm based on continuous working condition time calculation, which effectively reduces the error and makes the result closer to the true value.

[0074] The calculation formula for the energy consumption of a single lighting centralized controller and a single lamp controller is: , Among them, T iis the time point for recording the working condition, T0 is the light-on point, T n To turn off the lights, U i ,I i and cosφ i They respectively represent the line voltage, line current and power factor in the current operating condition record.

[0075] When the device has an energy consumption collection module, the platform directly collects daily energy consumption data from the device side and stores it in the historical energy consumption database. If the device does not have an energy consumption collection module or the device energy consumption data cannot be directly collected, the daily energy consumption data of the lighting monitoring equipment in the system is calculated according to the above algorithm and stored in the historical energy consumption database. The system can accumulate and sum the historical energy consumption data to obtain statistical data for stage time, such as monthly energy consumption, annual energy consumption, and total energy consumption, and calculate the rated energy consumption of the equipment based on the rated power to obtain the energy saving rate of the lighting monitoring system.

[0076] The above energy consumption database and historical energy consumption database are equivalent to a part of the above database.

[0077] The meter management module is used to manage meters in batches. It provides a standardized meter data import template for batch import of meter information. The import template contains user number, user name, installation location, label, and control cabinet. When importing, the meter can be associated with the lighting control cabinet it acts on, so as to facilitate the subsequent comparison and analysis of equipment energy consumption data and electricity consumption and electricity fee data. It can also manage user-defined labels for meters, and classify, filter, and manage meters according to labels.

[0078] The electricity quantity and electricity fee management module is used to manage the electricity quantity and electricity fee data, and provides a standardized electricity quantity and electricity fee data import template for batch import of electricity quantity and electricity fee information. The import template contains user number, electricity quantity, peak, valley, flat, electricity fee and data time. After importing, the system will display the user number, user name, installation location, control cabinet and electricity quantity and electricity fee data information of the meter in the client according to the imported meter data. The lighting monitoring unit's own meter and external meter data can be managed separately to avoid confusion between the own meter data and the electricity quantity and electricity fee data of the external meter, thereby realizing efficient and clear management of lighting monitoring electricity quantity and electricity fee data.

[0079] The electricity consumption, electricity fee and energy consumption data analysis module uses a bar chart to display the electricity consumption and electricity fee data of each meter and the energy consumption data of its associated lighting equipment, and conducts monthly month-on-month and year-on-year analysis. Users can customize the abnormal deviation threshold percentage, and display and export the electricity consumption and electricity fee data that exceeds the abnormal threshold in a table format, so as to quickly locate the fault of the meter and equipment.

[0080] The electricity and energy consumption data statistics module can count the daily, monthly and annual energy consumption of the equipment, calculate the energy saving rate and carbon emission savings based on the rated energy consumption of the system, and use line charts and bar charts to conduct annual and monthly statistics and comparisons of electricity consumption and electricity bill data and equipment energy consumption data, which can reflect the lighting monitoring electricity consumption and energy consumption trends in recent months or years.

[0081] Figure 4 This is a flow chart of intelligent management of urban lighting monitoring provided by an embodiment of the present application, such as Figure 4 As shown, the process includes: Step S401, start; Step S402: collecting and calculating energy consumption. Step S403, determining whether the lighting monitoring device supports direct reading of energy consumption data; If supported, step S404 is executed to read the device energy consumption data and store it in the energy consumption database; Otherwise, execute step S405, obtain data such as voltage and current in the equipment working condition, calculate the equipment energy consumption according to the lighting time, and store it in the energy consumption database; Step S406, importing the data of the own electric meter and the external electric meter into the electric meter management module; Step S407, in the power consumption and power charge management module, importing the power consumption and power charge data obtained from the power company; Step S408, the system compares and analyzes the power consumption and electricity fee data with the energy consumption data; Step S409, the user sets an abnormal data deviation alarm threshold; Step S410, the system outputs a result report showing that the energy consumption and electricity charge data have a large year-on-year or month-on-month difference; Step S411, statistics are collected on energy consumption data and electricity consumption and electricity fee data, and statistical charts such as total energy consumption, energy-saving energy consumption, energy-saving rate, carbon emission savings, and monthly, annual and total usage of electricity consumption and electricity fee are output.

[0082] In addition, the method and system embodiments provided in the above embodiments belong to the same concept, and their specific implementation processes are detailed in the system embodiments, which will not be repeated here.

[0083] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0084] The above is only a preferred embodiment of the present application. Any person skilled in the art may modify the present application or modify it into an equivalent technical solution using the above technical solution. Therefore, any simple modification or equivalent replacement based on the technical solution of the present application shall fall within the scope of protection claimed by the present application.

[0085] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification, those skilled in the art will easily think of other embodiments of the present disclosure.

[0086] This application is intended to cover any modifications, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field not recorded in the present disclosure.

Claims

1. An urban lighting power management system, characterized in that: include: A data acquisition and calculation module, used to obtain target energy consumption data of equipment in a target lighting monitoring system, wherein the target lighting monitoring system is any lighting monitoring system in a regional lighting master monitoring system; An electric meter management module, used for batch importing information data of a group of electric meters, wherein each lighting monitoring system in the regional lighting master monitoring system corresponds to one electric meter in the group of electric meters; An electricity quantity and electricity fee management module, used for importing electricity quantity and electricity fee data, wherein the electricity quantity and electricity fee data include target electricity quantity data and target electricity fee data generated by the power department measuring the electricity consumption of the equipment in the target lighting monitoring system; A database, used to store the target energy consumption data, the information data of the group of electric meters and the electric quantity and fee data; A data statistics module, used to count a set of energy consumption indicators of the equipment in the target lighting monitoring system according to the target energy consumption data, and to count a set of power consumption and electricity cost indicators of the equipment in the target lighting monitoring system according to the target power data and the target electricity cost data, wherein the set of energy consumption indicators includes a daily energy consumption indicator, a monthly energy consumption indicator and an annual energy consumption indicator, and the set of power consumption and electricity cost indicators includes a monthly power consumption and electricity cost indicator and an annual power consumption and electricity cost indicator; A data analysis module, used for analyzing the power consumption and electricity fee data and the target energy consumption data to obtain an analysis result, wherein the analysis result is used to indicate whether there is an abnormality in the energy consumption of the target lighting monitoring system; The alarm module is used to issue an alarm message when it is determined that the energy consumption and power consumption of the target lighting monitoring system are abnormal.

2. The system according to claim 1, characterized in that The data acquisition and calculation module is used to obtain the target energy consumption data in the following manner: In the case where an energy consumption collection module is provided in the target lighting monitoring system, the data collection and calculation module is used to obtain the target energy consumption data from the energy consumption collection module, wherein the energy consumption collection module is used to collect energy consumption data of equipment in the target lighting monitoring system; When the target lighting monitoring system is not provided with an energy consumption collection module, the data collection and calculation module obtains the operating condition data set reported by the target lighting monitoring system, and calculates the target energy consumption data based on the operating condition data set, wherein the operating condition data set includes the electrical parameters of the target lighting monitoring system at multiple times within a period of time.

3. The system according to claim 2, characterized in that The data acquisition and calculation module calculates the target energy consumption data based on the operating condition data set according to the following formula: ， U i represents the line voltage at the i-th moment, I i represents the line current at the ith moment, T i+1 represents the i+1th moment, T i represents the i-th moment, cosφ i represents the power factor corresponding to the i-th moment, n represents the n moments included in the period of time, and n is a positive integer greater than or equal to 1.

4. The system according to claim 1, characterized in that The data analysis module is used to obtain the analysis result in the following manner: Comparing the target energy consumption data with the target power data; When the ratio of the absolute value of the difference between the target energy consumption data and the target power data to the target power data is greater than or equal to a preset first ratio threshold, a first result is obtained, wherein the first result is used to indicate that the energy consumption of the target lighting monitoring system is abnormal, and the analysis result includes the first result; When the ratio of the absolute value of the difference between the target energy consumption data and the target power data to the target power data is less than the preset first ratio threshold, a second result is obtained, wherein the second result is used to indicate that the energy consumption of the target lighting monitoring system is normal, and the analysis result includes the second result.

5. The system according to claim 4, characterized in that The data analysis module is also used to obtain the analysis results in the following manner: Compare the target energy consumption data with the original energy consumption data by device group, wherein the original energy consumption data is used to represent the energy consumption data of the target lighting monitoring system in the previous cycle, and the target energy consumption data is used to represent the energy consumption data of the target lighting monitoring system in the current cycle; When the ratio of the absolute value of the difference between the target energy consumption data and the original energy consumption data to the original energy consumption data is greater than or equal to a preset second ratio threshold, a third result is obtained, wherein the third result is used to indicate that the energy consumption of the target lighting monitoring system is abnormal, and the analysis result includes the third result; When the ratio of the absolute value of the difference between the target energy consumption data and the original energy consumption data to the original energy consumption data is less than the preset second ratio threshold, a fourth result is obtained, wherein the fourth result is used to indicate that the energy consumption of the target lighting monitoring system is normal, and the analysis result includes the fourth result.

6. The system according to claim 1, characterized in that When the analysis result indicates that there is an abnormality in the energy consumption of the target lighting monitoring system, the data analysis module is also used to display the target lighting equipment, the target power data and the target energy consumption data in a tabular form and export a report to facilitate the positioning of the target electric meter and the target lighting equipment, wherein the target electric meter is an electric meter included in the group of electric meters and corresponding to the target lighting monitoring system, and the target lighting equipment is a lighting equipment with abnormal energy consumption monitored by the target lighting monitoring system.

7. The system according to claim 1, characterized in that The data statistics module is also used to generate daily energy consumption index statistical charts, monthly energy consumption statistical charts and annual energy consumption statistical charts, and the data statistics module is also used to generate monthly electricity charge statistical charts and annual electricity charge index statistical charts based on the electricity charge data; The system also includes a display module for displaying a set of statistical charts, wherein the set of statistical charts includes any one or more of the daily energy consumption index statistical chart, the monthly energy consumption statistical chart, the annual energy consumption statistical chart, the monthly electricity consumption and electricity fee statistical chart, and the annual electricity consumption and electricity fee index statistical chart.

8. The system according to claim 1, characterized in that The electric meter management module is also used to batch import a target correspondence data table, wherein the target correspondence data table records the correspondence between the lighting control cabinet number where each lighting monitoring system is located and the associated electric meter number.

9. The system according to claim 1, characterized in that The system is also used to train historical data using the LSTM model to establish a power consumption prediction model, wherein the historical data includes historical energy consumption data of equipment in the target lighting monitoring system; According to the target energy consumption data, the target energy consumption data is predicted using the power consumption prediction model to obtain a prediction result, wherein the prediction result is used to represent the power consumption development trend of the target lighting monitoring system.

10. A method for managing urban lighting electricity consumption, characterized in that: The system used in any one of claims 1 to 9 comprises: Acquire the target energy consumption data of the equipment in the target lighting monitoring system; Importing the information data of the group of electric meters and the electric quantity and electricity fee data, wherein the electric quantity and electricity fee data include the target electric quantity data and the target electricity fee data generated by the electric power department measuring the electric power usage of the equipment in the target lighting monitoring system; Obtaining the set of energy consumption indicators of the equipment in the target lighting monitoring system according to the target energy consumption data, calculating the set of power consumption and electricity cost indicators of the equipment in the target lighting monitoring system according to the target power consumption data and the target electricity cost data, and analyzing whether there are abnormalities in the energy consumption and power consumption of the target lighting monitoring system according to the target energy consumption data and the power consumption and electricity cost data; When it is determined that the energy consumption and power usage of the target lighting monitoring system are abnormal, an alarm message is issued.

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