Energy efficiency management system and method for controller

Abstract

The present invention provides an energy efficiency management system and method for controllers, the energy efficiency management system comprising: a relationship creation module establishing a topological network for the controllers; a monitoring and acquisition module performing information monitoring on the controllers based on the topological network, obtaining monitoring information of the controllers, and uploading the monitoring information based on the topological network; an intelligent analysis module performing energy analysis and energy efficiency assessment on the monitoring information to obtain intelligent analysis results; an optimization and control module performing energy-saving management based on the intelligent analysis results, obtaining an energy-saving optimization plan, and providing control recommendations for the controllers according to the energy-saving optimization plan. The present invention implements intelligent energy efficiency management of the controllers, connects multiple controllers together through the establishment of a topological network for energy efficiency management, enables integrated management of multiple controllers at the same time, improves the performance of energy efficiency management, and can also provide timely control recommendations for energy-saving optimization to the controllers.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management technology, and in particular to an energy efficiency management system and method for a controller. Background Art

[0002] With the rapid development of social economy, intelligent control technology has gradually penetrated into all aspects of life. As a result, various controllers have emerged. Energy efficiency management of controllers can not only clarify the energy consumption of controllers, but also understand the load conditions of the control. Therefore, energy efficiency management of controllers is an issue that is worth studying.

[0003] At present, when it comes to energy efficiency management of controllers, the energy efficiency management capabilities are limited, and energy efficiency management can only be performed on limited controllers. Moreover, when performing energy efficiency management, usually only controller monitoring and energy efficiency analysis can be performed, and energy-saving optimization cannot be performed in time according to the current status of the controller. Therefore, the present invention proposes an energy efficiency management system and method for controllers to realize intelligent energy efficiency management of controllers, and connect multiple controllers through a topological network to perform energy efficiency management together, so that integrated management can be performed on multiple controllers at the same time, thereby improving the performance of energy efficiency management, and at the same time, timely regulation suggestions for energy-saving optimization of the controller can be given. Summary of the Invention

[0004] The object of the present invention is to provide an energy efficiency management system and method for a controller to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: an energy efficiency management system for a controller, comprising: a relationship creation module, a monitoring acquisition module, an intelligent analysis module and an optimization and control module;

[0006] The relationship creation module is used to establish a topology network for the controller;

[0007] The monitoring acquisition module is used to monitor information of the controller based on the topology network, obtain monitoring information of the controller, and upload the monitoring information based on the topology network;

[0008] The intelligent analysis module is used to perform energy analysis and energy efficiency assessment based on the monitoring information to obtain intelligent analysis results;

[0009] The optimization and control module is used to perform energy-saving management according to the intelligent analysis results, obtain energy-saving optimization solutions, and make control suggestions for the controller according to the energy-saving optimization solutions.

[0010] Furthermore, the relationship creation module establishes the topology network according to the region when establishing the topology network, including:

[0011] Identify target areas;

[0012] Analyze the existing controllers in the target area and lock the target controller;

[0013] A topological relationship between controllers is established for the target controller, a first topological network is established, a sub-topological network in an initial state is obtained, and a master node is configured for the sub-topological network in the initial state to obtain a perfected sub-topological network;

[0014] Based on the improved sub-topology network, the topology relationship is constructed, the second topology network is established, and the final topology network is obtained.

[0015] Furthermore, the intelligent analysis module includes: a first analysis unit and a second analysis unit;

[0016] The first analysis unit is configured to perform energy analysis based on the monitoring information to obtain a first intelligent analysis result;

[0017] The second analysis unit is used to perform energy efficiency assessment based on the monitoring information to obtain a second intelligent analysis result.

[0018] Furthermore, the first analysis unit performs energy analysis based on the monitoring information, including:

[0019] Determine the target controller based on the monitoring information, analyze and determine whether the controller is in the running state, and obtain preliminary analysis and judgment results;

[0020] When the preliminary analysis result shows that a controller is not in the operating state, the controller that is not in the operating state is locked to obtain the first screening result. At the same time, the first intelligent analysis result of the previous moment is retrieved. The historical data of the controller is matched and retrieved in combination with the first screening result. The matched and retrieved result is then used as the current intelligent analysis result of the corresponding controller.

[0021] When the preliminary analysis determines that the controller is in the running state, the running controller is locked to obtain the second screening result. The control parameters are identified and the running time statistics are performed on the monitoring information in combination with the second screening result to obtain the control monitoring data of the controller. Then, the basic information of the controller is retrieved according to the second screening result. The basic information of the controller is matched with the control monitoring data of the controller, and energy consumption analysis and calculation are performed according to the corresponding matching results to obtain the current intelligent analysis result of the corresponding controller.

[0022] Furthermore, the second analysis unit performs energy efficiency assessment analysis according to the controller, including:

[0023] Determine target analysis controller;

[0024] Retrieving a first intelligent analysis result for the target analysis controller to obtain energy analysis data of the target analysis controller;

[0025] Determine the assessment standard for the target analysis controller, retrieve the assessment standard based on the target analysis controller, and calibrate the assessment standard based on the basic information of the target controller to obtain the target assessment standard;

[0026] Combine the energy analysis data of the target analysis controller with the target assessment standard to perform energy efficiency intelligent analysis to obtain energy efficiency analysis data;

[0027] A second intelligent analysis result is determined for the target controller according to the energy efficiency analysis data.

[0028] Furthermore, the optimization and adjustment module includes: an identification and judgment unit, an optimization analysis unit, and a control suggestion unit;

[0029] The identification and judgment unit is used to identify the intelligent analysis results, determine whether the controller needs to be optimized and adjusted, and obtain the identification and judgment results;

[0030] The optimization analysis unit is used to perform load analysis using a neural network model based on the identification and judgment results to determine an energy-saving optimization solution;

[0031] The control suggestion unit is used to generate control suggestions according to the energy-saving optimization plan and to feed back the control suggestions based on the topology network.

[0032] Furthermore, the optimization analysis unit uses a neural network model to perform load analysis based on the identification and judgment results, including:

[0033] When the identification result shows that the controller needs to be optimized and adjusted, the monitoring information of the controller is obtained;

[0034] Use neural network model to analyze and predict load based on the monitoring information of the controller to obtain load forecast information;

[0035] Performing energy-saving analysis on the load forecast information to determine whether the load forecast information meets energy-saving specifications, thereby obtaining a second analysis and determination result;

[0036] An optimization analysis is performed based on the second analysis and judgment result. When the second analysis and judgment result is that the load forecast information does not meet the energy-saving specification, the load characteristics of the controller are obtained, energy-saving optimization is performed based on the load characteristics, and an energy-saving optimization plan is determined.

[0037] Furthermore, the control suggestion unit generates control suggestions according to the energy-saving optimization plan, including:

[0038] Analyze the energy-saving optimization plan and divide the analyzed information according to the controller to obtain the energy-saving optimization plan disassembly results;

[0039] In the energy-saving optimization solution disassembly results, the control suggestions are preliminarily determined according to the controller to obtain preliminary information on the control suggestions;

[0040] Get the identification information of the controller;

[0041] The identification information of the controller is matched with the preliminary information of the control suggestion, and data processing is performed on the preliminary information of the control suggestion according to the matching result in combination with the identification information of the controller to obtain the final information of the control suggestion.

[0042] Furthermore, when the control suggestion unit feeds back the control suggestion based on the topological network, it determines the number of final control suggestion information. When the number of final control suggestion information is unique, the final control suggestion information is directly sent to the topological network, identified and recognized in the topological network, so as to obtain the control suggestion in the controller consistent with the identification information of the controller, and realize the feedback of the control suggestion. When the number of final control suggestion information is not unique, the final control suggestion information is combined together to determine the feedback information, and then the feedback information is sent to the topological network and verified using the identification information of the controller. When the identification information of the controller is consistent, the verification is passed, and the controller reads the corresponding part of the information in the feedback information, hides the read information in the feedback information, and then continues to verify for other controllers until the feedback information is completely hidden and the feedback of the control suggestion is completed.

[0043] A method for energy efficiency management of a controller, comprising:

[0044] Establish a topology network for the controller;

[0045] Monitor the controller information based on the topology network, obtain the monitoring information of the controller, and upload the monitoring information based on the topology network;

[0046] Conduct energy analysis and energy efficiency assessment based on monitoring information to obtain intelligent analysis results;

[0047] Perform energy-saving management based on intelligent analysis results, obtain energy-saving optimization plans, and make control recommendations for controllers according to the energy-saving optimization plans.

[0048] The present invention realizes intelligent energy efficiency management of the controller, connects multiple controllers together through the establishment of a topological network to carry out energy efficiency management, enables integrated management of multiple controllers at the same time, improves the performance of energy efficiency management, and can also provide timely control suggestions for energy-saving optimization of the controller.

[0049] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0050] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0052] Figure 1 A schematic diagram of the energy efficiency management system according to the present invention;

[0053] Figure 2 A schematic diagram of the steps of creating a relationship module in the energy efficiency management system of the present invention;

[0054] Figure 3 A schematic diagram of the intelligent analysis module in the energy efficiency management system according to the present invention;

[0055] Figure 4 This is a flow chart of the first analysis unit of the intelligent analysis module in the energy efficiency management system of the present invention;

[0056] Figure 5 This is a schematic diagram of the steps of the second analysis unit of the intelligent analysis module in the energy efficiency management system of the present invention;

[0057] Figure 6 A schematic diagram of an optimization and adjustment module in the energy efficiency management system according to the present invention;

[0058] Figure 7 This is a schematic diagram of the steps of the optimization analysis unit of the optimization adjustment module in the energy efficiency management system of the present invention;

[0059] Figure 8 This is a schematic diagram of the control suggestion unit steps of the optimization and adjustment module in the energy efficiency management system of the present invention;

[0060] Figure 9 Schematic diagram of the steps of the energy efficiency management method according to the present invention. DETAILED DESCRIPTION

[0061] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0062] like Figure 1As shown, an embodiment of the present invention provides an energy efficiency management system for a controller, including: a relationship creation module, a monitoring and acquisition module, an intelligent analysis module and an optimization and control module;

[0063] The relationship creation module is used to establish a topology network for the controller;

[0064] The monitoring acquisition module is used to monitor information of the controller based on the topology network, obtain monitoring information of the controller, and upload the monitoring information based on the topology network;

[0065] The intelligent analysis module is used to perform energy analysis and energy efficiency assessment based on the monitoring information to obtain intelligent analysis results;

[0066] The optimization and control module is used to perform energy-saving management according to the intelligent analysis results, obtain energy-saving optimization solutions, and make control suggestions for the controller according to the energy-saving optimization solutions.

[0067] In the above technical solution, the monitoring information of the controller includes: the operating status and control status information of the controller.

[0068] In the above technical solution, the intelligent analysis module and the optimization and control module use artificial intelligence technology to perform energy analysis, energy efficiency assessment and energy-saving management respectively.

[0069] The above technical solution implements intelligent energy efficiency management for controllers. By using a relationship creation module and a topological network to establish a connection between multiple controllers for energy efficiency management, the relationship creation module can simultaneously manage multiple controllers in an integrated manner, improving the performance of energy efficiency management and providing timely energy-saving optimization control suggestions to the controllers. Furthermore, by monitoring and acquiring information from the controllers based on the topological network and uploading the monitoring information based on the topological network, the intelligent analysis module can simultaneously perform energy analysis and energy efficiency assessment on multiple controllers, improving the efficiency of the intelligent analysis module's energy analysis and energy efficiency assessment. This allows the optimization and control module to promptly obtain energy-saving optimization solutions and make control suggestions, reducing resource waste and better implementing energy conservation and environmental protection. Furthermore, when the intelligent analysis module performs energy analysis and energy efficiency assessment on the monitoring information, it uses intelligent technology to perform automated analysis, not only obtaining intelligent analysis results in a shorter time, but also reducing analysis errors and ensuring the accuracy of the intelligent analysis results. Furthermore, when the optimization and control module performs energy-saving management based on the intelligent analysis results, no human intervention is required, eliminating the influence of human subjective factors, reducing time consumption, improving the efficiency of determining control suggestions, and ensuring the accuracy and timeliness of energy efficiency management.

[0070] like Figure 2As shown, in one embodiment provided by the present invention, the relationship creation module establishes the topology network according to the region when establishing the topology network, including:

[0071] A1. Determine the target area;

[0072] A2. Analyze the existing controllers in the target area and lock the target controller;

[0073] A3. Build a topological relationship between controllers for the target controller, establish a first topological network, obtain a sub-topological network in an initial state, and configure a master node for the sub-topological network in the initial state to obtain a perfected sub-topological network;

[0074] A4. Based on the improved sub-topology network, a topology relationship is constructed to establish a second topology network to obtain the final topology network.

[0075] In the above technical solution, when analyzing the controllers existing in the target area, the analysis is performed for each target area.

[0076] In the above technical solution, the first topology network is a topology network formed by the topological relationship between controllers.

[0077] In the above technical solution, the master node is usually the main communication node of the sub-topology network, which realizes the communication connection between the sub-topology network and the intelligent analysis module.

[0078] In the above technical solution, the second topology network is formed based on the topological relationship between the sub-topology networks, which is usually a parallel connection relationship.

[0079] In the above technical solution, the number of controllers in the sub-topology network can be the same or different, and the controllers in the sub-topology network can be the same controller or different controllers. For example, two air-conditioning controllers, multiple lighting controllers, etc. can exist in a sub-topology network at the same time.

[0080] The above technical solution realizes the integrated management of controllers by establishing a topological network, connects multiple controllers for information processing, and enables energy efficiency management of multiple controllers based on the topological network, thereby improving the efficiency of energy efficiency management.

[0081] Preferably, when the monitoring acquisition module uploads the monitoring information based on the topology network, it performs real-time monitoring on the controller, obtains the real-time monitoring information of the controller, and transmits the real-time monitoring of the controller to the master node according to the sub-topology network, and then the master node uploads the real-time monitoring information of the controller, wherein, when the master node uploads the real-time monitoring information of the controller, it includes: determining the current state of the controller according to the real-time monitoring information of the controller, when the current state of the controller is not the running state, determining the state reporting information for the controller in combination with the situation that it is not the running state, obtaining the current reporting information, and then reporting the current reporting information, when the current state of the controller is When in the running state, the current monitoring information of the controller is obtained according to the real-time monitoring information of the controller, the current monitoring information is compared with the monitoring information at the previous moment, and it is analyzed whether the current monitoring information has changed compared with the monitoring information at the previous moment. If there is a change, the change information and the unchanged information are determined for the current monitoring information, the first reporting data is determined according to the unchanged information, the second reporting data is determined according to the change information, and then the first reporting data and the second reporting data are reported according to the communication protocol. If there is no change, the status reporting information is determined for the controller in combination with the running state, the current reporting information is obtained, and then the current reporting information is reported according to the communication protocol.

[0082] The above technical solution realizes the communication management of the sub-topology network through the main node, so that after the monitoring information of the controller is obtained, the monitoring information can be better reported. Moreover, when uploading the real-time monitoring information of the controller, the current reporting information is determined by determining the current state of the controller in different ways according to whether the controller is in the running state, thereby ensuring the comprehensiveness of the current monitoring information, avoiding the false reporting of monitoring data caused by the controller being in the same state for a long time, improving the accuracy of the reported information, and simplifying the repeated reporting of the same monitoring information, improving the reporting efficiency of the monitoring information, and reducing the upload delay.

[0083] like Figure 3 As shown, in one embodiment provided by the present invention, the intelligent analysis module includes: a first analysis unit and a second analysis unit;

[0084] The first analysis unit is configured to perform energy analysis based on the monitoring information to obtain a first intelligent analysis result;

[0085] The second analysis unit is used to perform energy efficiency assessment based on the monitoring information to obtain a second intelligent analysis result.

[0086] In the above technical solution, the first analysis unit and the second analysis unit perform different analysis processes respectively.

[0087] The above technical solution divides the intelligent analysis module into blocks, so that different units can implement different analyses in the intelligent analysis module, improve the performance of the intelligent analysis module, and enable the intelligent analysis module to better perform energy analysis and energy efficiency assessment.

[0088] like Figure 4 As shown, in one embodiment provided by the present invention, the first analysis unit performs energy analysis based on the monitoring information, including:

[0089] Determine the target controller based on the monitoring information, analyze and determine whether the controller is in the running state, and obtain preliminary analysis and judgment results;

[0090] When the preliminary analysis result shows that a controller is not in the operating state, the controller that is not in the operating state is locked to obtain the first screening result. At the same time, the first intelligent analysis result of the previous moment is retrieved. The historical data of the controller is matched and retrieved in combination with the first screening result. The matched and retrieved result is then used as the current intelligent analysis result of the corresponding controller.

[0091] When the preliminary analysis determines that the controller is in the running state, the running controller is locked to obtain the second screening result. The control parameters are identified and the running time statistics are performed on the monitoring information in combination with the second screening result to obtain the control monitoring data of the controller. Then, the basic information of the controller is retrieved according to the second screening result. The basic information of the controller is matched with the control monitoring data of the controller, and energy consumption analysis and calculation are performed according to the corresponding matching results to obtain the current intelligent analysis result of the corresponding controller.

[0092] In the above technical solution, when analyzing and judging whether the controller is in the running state, the controllers included in the monitoring information are analyzed and judged respectively.

[0093] In the above technical solution, the first screening result includes at least one controller that is not in the running state.

[0094] In the above technical solution, after obtaining the current intelligent analysis results, historical data is stored and updated according to the controller.

[0095] In the above technical solution, the second screening result includes controllers in all operating states.

[0096] In the above technical solution, when the control parameters are identified and the running time statistics are performed on the monitoring information in combination with the second screening result, the control parameters are identified and the running time statistics are performed in sequence based on the controllers in the second screening result.

[0097] In the above technical solution, the current intelligent analysis result of the controller is the first intelligent analysis result.

[0098] The above technical solution determines whether the controller is in an operating state by analyzing it, allowing the first analysis unit to use different energy analysis methods for controllers in different operating states, thereby improving the efficiency of energy analysis, clarifying the controller's current energy consumption, and improving the efficiency of obtaining current intelligent analysis results. Furthermore, when performing energy consumption analysis and calculations on controls in an operating state, the controller's basic information is matched with the controller's control monitoring data, and energy consumption analysis and calculations are performed based on the matching results. This ensures that the calculated data information matches each other, improves the orderliness of the energy analysis and calculations, and avoids the impact of excessive data on the efficiency and accuracy of energy analysis and calculations.

[0099] like Figure 5 As shown, in one embodiment provided by the present invention, the second analysis unit performs energy efficiency assessment analysis according to the controller, including:

[0100] B1. Determine the target analysis controller;

[0101] B2. Retrieving the first intelligent analysis result for the target analysis controller to obtain energy analysis data of the target analysis controller;

[0102] B3. Determine the assessment standard for the target analysis controller, retrieve the assessment standard based on the target analysis controller, and calibrate the assessment standard based on the basic information of the target controller to obtain the target assessment standard;

[0103] B4. Combine the energy analysis data of the target analysis controller with the target assessment standard to perform energy efficiency intelligent analysis to obtain energy efficiency analysis data;

[0104] B5. Determine the result of a second intelligent analysis for the target controller according to the energy efficiency analysis data.

[0105] In the above technical solution, the target analysis controller is the object of energy efficiency assessment analysis.

[0106] In the above technical solution, different types of controllers have different assessment standards, and among the same type of controllers, different functions will also lead to different assessment standards.

[0107] In the above technical solution, when the energy analysis data of the target analysis controller is combined with the target assessment standard to perform energy efficiency intelligent analysis, the difference data between the energy analysis data and the target assessment standard is calculated for the target analysis controller.

[0108] The above technical solution retrieves the first intelligent analysis results from the target analysis controller, allowing the second analysis unit to directly use the data information in the first analysis unit for analysis when performing energy efficiency assessment analysis, avoiding repeated operations that waste time, improving the efficiency of energy efficiency assessment analysis, and obtaining the second intelligent analysis results in a shorter time. Moreover, after retrieving the assessment standards, the assessment standards are corrected based on the basic information of the target controller, improving the accuracy of the target assessment standards, reducing the errors in the energy efficiency intelligent analysis, ensuring the accuracy of the energy efficiency analysis data, and thus providing guarantees for the second intelligent analysis results.

[0109] like Figure 6 As shown, in one embodiment provided by the present invention, the optimization and adjustment module includes: an identification and judgment unit, an optimization analysis unit and a control and suggestion unit;

[0110] The identification and judgment unit is used to identify the intelligent analysis results, determine whether the controller needs to be optimized and adjusted, and obtain the identification and judgment results;

[0111] The optimization analysis unit is used to perform load analysis using a neural network model based on the identification and judgment results to determine an energy-saving optimization solution;

[0112] The control suggestion unit is used to generate control suggestions according to the energy-saving optimization plan and to feed back the control suggestions based on the topology network.

[0113] In the above technical solution, when the optimization analysis unit uses the neural network model to perform load analysis based on the identification and judgment result, if the identification and judgment result is that the controller does not need to be optimized and adjusted, there is no need to use the neural network model to perform load analysis.

[0114] The above technical solution divides the optimization and adjustment module into an identification and judgment unit, an optimization analysis unit, and a control suggestion unit for energy-saving management. The identification and judgment unit is used to screen the intelligent analysis results, so that the optimization analysis unit and the control suggestion unit can only run the analysis when the intelligent analysis results indicate that the controller needs to be optimized and adjusted. This ensures the effectiveness of the operation analysis of the optimization analysis unit and the control suggestion unit and avoids the waste of time caused by invalid analysis.

[0115] like Figure 7 As shown, in one embodiment provided by the present invention, the optimization analysis unit uses a neural network model to perform load analysis based on the identification and judgment results, including:

[0116] C1. When the identification result indicates that the controller needs to be optimized and adjusted, obtain monitoring information of the controller;

[0117] C2. Use a neural network model to perform load analysis and prediction based on the monitoring information of the controller to obtain load prediction information;

[0118] C3. Perform energy-saving analysis on the load forecast information to determine whether the load forecast information meets energy-saving specifications, and obtain a second analysis and determination result;

[0119] C4. Perform optimization analysis based on the second analysis and judgment result. When the second analysis and judgment result is that the load forecast information does not meet the energy-saving specification, obtain the load characteristics of the controller, perform energy-saving optimization based on the load characteristics, and determine the energy-saving optimization plan.

[0120] In the above technical solution, the neural network model includes a feature analysis unit and a data prediction unit. When the neural network model is used for load analysis and prediction, load analysis and prediction are performed on the controller, including: obtaining the attribute information of the controller through the feature analysis unit, performing load feature analysis based on the attribute information of the controller to obtain the load characteristics of the controller, and then matching the monitoring information of the controller with the load characteristics of the controller by the data prediction unit, and performing load calculation and prediction based on the matching results by combining the monitoring information of the controller with the load characteristics of the controller to obtain the load prediction information of the controller.

[0121] In the above technical solution, the neural network model is an optimized model that has been pre-learned and trained.

[0122] In the above technical solution, when the second analysis and judgment result is that the load forecast information meets the energy-saving specification, there is no need to determine the energy-saving optimization solution.

[0123] In the above technical solution, when determining the energy-saving optimization solution, it also includes: obtaining the relationship between controllers, and determining the associated controllers based on the relationship between the controllers; obtaining the current load information and retrieval of the compliance characteristics of the associated controllers to obtain the current load information of the associated controllers and the compliance characteristics of the associated controllers; performing optimization analysis based on the current load information of the associated controllers and the compliance characteristics of the associated controllers in combination with the energy-saving specifications to obtain the energy-saving optimization solution.

[0124] The above technical solution enables load management to be implemented according to the monitoring information of the controller through load analysis, thereby reducing the waste of load resources and achieving the purpose of energy conservation and environmental protection. Intelligent analysis is achieved with the help of a neural network model, which can not only efficiently implement load analysis and prediction, but also ensure the accuracy of load prediction information. Moreover, whether the load prediction information meets the energy-saving specifications can be used to perform energy-saving optimization according to the second analysis judgment result, thereby reducing resource waste and improving environmental protection performance.

[0125] like Figure 8 As shown, in one embodiment provided by the present invention, the control suggestion unit generates control suggestions according to the energy-saving optimization plan, including:

[0126] D1. Analyze the energy-saving optimization plan and divide the analyzed information according to the controller to obtain the energy-saving optimization plan disassembly results;

[0127] D2. Preliminary determination of control suggestions based on the controller in the energy-saving optimization solution decomposition results to obtain preliminary information on control suggestions;

[0128] D3. Obtain identification information of the controller;

[0129] D4. Match the identification information of the controller with the preliminary information of the control suggestion, and perform data processing on the preliminary information of the control suggestion according to the matching result and the identification information of the controller to obtain the final information of the control suggestion.

[0130] In the above technical solution, the identification information of each controller is different.

[0131] In the above technical solution, when analyzing the energy-saving optimization solution, the energy-saving optimization solution is disassembled, and the associated controller analysis is performed on the disassembly result, so as to divide the analysis information according to the associated controllers and obtain the energy-saving optimization solution disassembly result.

[0132] In the above technical solution, when obtaining the identification information of the controller, the identification information is obtained according to the energy-saving optimization plan disassembly results. The identification information is obtained for the controllers that are associated in the energy-saving optimization plan disassembly results. There is no need to obtain the identification information for the controllers that are not associated in the energy-saving optimization plan disassembly results.

[0133] The above technical solution realizes the form conversion of energy-saving optimization scheme by dividing the parsed information, so that the control suggestions can exist in small blocks of data information based on the controller, which is convenient for the corresponding controller to receive feedback information, and processes the preliminary information of the control suggestions according to the matching results and the identification information of the controller, thereby improving the security of the final information of the control suggestions and avoiding feedback confusion in the control suggestions.

[0134] In one embodiment provided by the present invention, when the control suggestion unit feeds back the control suggestion based on the topological network, the number of final control suggestion information is determined. When the number of final control suggestion information is unique, the final control suggestion information is directly sent to the topological network, identified and recognized in the topological network, so as to obtain the control suggestion in the controller consistent with the identification information of the controller, and realize the feedback of the control suggestion. When the number of final control suggestion information is not unique, the final control suggestion information is combined together to determine the feedback information, and then the feedback information is sent to the topological network and verified using the identification information of the controller. When the identification information of the controller is consistent, the verification is passed, and the controller reads the corresponding part of the information in the feedback information, hides the read information in the feedback information, and continues to verify for other controllers until the feedback information is completely hidden and the feedback of the control suggestion is completed.

[0135] In the above technical solution, the hidden feedback information is not effectively read during subsequent reading.

[0136] In the above technical solution, when the final information of the regulation and control suggestions is combined together, the final information combination of the regulation and control suggestions is randomly combined.

[0137] In the above technical solution, when the identification information of the controller is used for verification, it is analyzed whether the identification information of the controller in the feedback information is consistent with the identification information of the controller being verified.

[0138] In the above technical solution, when the identification information of the controllers is inconsistent, the verification fails, and the verification is continued for the next control.

[0139] The above technical solution uses the identification information of the controller to achieve target screening in the feedback process of the control suggestion based on the topological network, so that the control suggestion is obtained through the controller for verification, which ensures the security of the control suggestion and can effectively avoid the chaotic response of the controller to the control suggestion, thereby ensuring the orderly feedback of the control suggestion.

[0140] like Figure 9 As shown, an embodiment of the present invention provides an energy efficiency management method for a controller, including:

[0141] Step 1: Establish a topology network for the controller;

[0142] Step 2: Monitor the controller based on the topology network, obtain the monitoring information of the controller, and upload the monitoring information based on the topology network;

[0143] Step 3: Conduct energy analysis and energy efficiency assessment based on the monitoring information to obtain intelligent analysis results;

[0144] Step 4: Perform energy-saving management based on the intelligent analysis results, obtain energy-saving optimization plans, and make control recommendations for the controller according to the energy-saving optimization plans.

[0145] The above technical solution implements intelligent energy efficiency management for controllers. By establishing a topological network to connect multiple controllers for energy efficiency management, it enables integrated management of multiple controllers simultaneously, improving the performance of energy efficiency management and providing timely control suggestions for energy-saving optimization. By monitoring information on controllers based on the topological network and uploading monitoring information based on the topological network, energy analysis and energy efficiency assessment can be performed simultaneously on multiple controllers when performing energy analysis and energy efficiency assessment based on monitoring information, improving the efficiency of energy analysis and energy efficiency assessment, and thus enabling timely acquisition of energy-saving optimization solutions and control suggestions, reducing resource waste and better implementing energy conservation and environmental protection. Moreover, when performing energy analysis and energy efficiency assessment on monitoring information, the use of intelligent technology for automated analysis not only enables intelligent analysis results to be obtained in a shorter time, but also reduces analysis errors and ensures the accuracy of intelligent analysis results. Furthermore, when performing energy management based on intelligent analysis results, no human intervention is required, eliminating the influence of human subjective factors, reducing time consumption, improving the efficiency of determining control suggestions, and ensuring the accuracy and timeliness of energy efficiency management.

[0146] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0147] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow from the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0148] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An energy efficiency management system for a controller, characterized in that: The energy efficiency management system includes: a relationship creation module, a monitoring and acquisition module, an intelligent analysis module and an optimization and control module; The relationship creation module is used to establish a topological network for the controller, and the topological network is established according to the region, including: determining the target region; analyzing the existing controllers in the target region and locking the target controller; building a topological relationship between the controllers for the target controller, establishing a first topological network, obtaining a sub-topological network in an initial state, and configuring the master node for the sub-topological network in the initial state to obtain a perfected sub-topological network; building a topological relationship based on the perfected sub-topological network, establishing a second topological network, and obtaining a final topological network; The monitoring acquisition module is used to monitor information of the controller based on the topology network, obtain monitoring information of the controller, and upload the monitoring information based on the topology network; The intelligent analysis module is used to perform energy analysis and energy efficiency assessment based on the monitoring information to obtain intelligent analysis results; The optimization and control module is used to perform energy-saving management based on the intelligent analysis results, obtain energy-saving optimization plans, and make control suggestions for the controller according to the energy-saving optimization plans, including: an identification and judgment unit, an optimization analysis unit and a control suggestion unit; the identification and judgment unit is used to identify the intelligent analysis results, determine whether the controller needs to be optimized and adjusted, and obtain an identification and judgment result; the optimization analysis unit is used to use a neural network model to perform load analysis based on the identification and judgment results, and determine the energy-saving optimization plan; the control suggestion unit is used to generate control suggestions according to the energy-saving optimization plan, and feedback the control suggestions based on the topology network.

2. The energy efficiency management system according to claim 1, characterized in that: The intelligent analysis module includes: a first analysis unit and a second analysis unit; The first analysis unit is configured to perform energy analysis based on the monitoring information to obtain a first intelligent analysis result; The second analysis unit is used to perform energy efficiency assessment based on the monitoring information to obtain a second intelligent analysis result.

3. The energy efficiency management system according to claim 2, characterized in that: The first analysis unit performs energy analysis based on the monitoring information, including: Determine the target controller based on the monitoring information, analyze and determine whether the controller is in the running state, and obtain preliminary analysis and judgment results; When the preliminary analysis result shows that a controller is not in the operating state, the controller that is not in the operating state is locked to obtain the first screening result. At the same time, the first intelligent analysis result of the previous moment is retrieved. The historical data of the controller is matched and retrieved in combination with the first screening result. The matched and retrieved result is then used as the current intelligent analysis result of the corresponding controller. When the preliminary analysis determines that the controller is in the running state, the running controller is locked to obtain the second screening result. The control parameters are identified and the running time statistics are performed on the monitoring information in combination with the second screening result to obtain the control monitoring data of the controller. Then, the basic information of the controller is retrieved according to the second screening result. The basic information of the controller is matched with the control monitoring data of the controller, and energy consumption analysis and calculation are performed according to the corresponding matching results to obtain the current intelligent analysis result of the corresponding controller.

4. The energy efficiency management system according to claim 2, characterized in that: The second analysis unit performs energy efficiency assessment analysis according to the controller, including: Determine target analysis controller; Retrieving a first intelligent analysis result for the target analysis controller to obtain energy analysis data of the target analysis controller; Determine the assessment standard for the target analysis controller, retrieve the assessment standard based on the target analysis controller, and calibrate the assessment standard based on the basic information of the target controller to obtain the target assessment standard; Combine the energy analysis data of the target analysis controller with the target assessment standard to perform energy efficiency intelligent analysis to obtain energy efficiency analysis data; A second intelligent analysis result is determined for the target controller according to the energy efficiency analysis data.

5. The energy efficiency management system according to claim 1, characterized in that: The optimization analysis unit performs load analysis using a neural network model according to the identification and judgment results, including: When the identification result shows that the controller needs to be optimized and adjusted, the monitoring information of the controller is obtained; Use neural network model to analyze and predict load based on the monitoring information of the controller to obtain load forecast information; Performing energy-saving analysis on the load forecast information to determine whether the load forecast information meets energy-saving specifications, thereby obtaining a second analysis and determination result; An optimization analysis is performed based on the second analysis and judgment result. When the second analysis and judgment result is that the load forecast information does not meet the energy-saving specification, the load characteristics of the controller are obtained, energy-saving optimization is performed based on the load characteristics, and an energy-saving optimization plan is determined.

6. The energy efficiency management system according to claim 1, characterized in that: The control suggestion unit generates control suggestions according to the energy-saving optimization plan, including: Analyze the energy-saving optimization plan and divide the analyzed information according to the controller to obtain the energy-saving optimization plan disassembly results; In the energy-saving optimization solution disassembly results, the control suggestions are preliminarily determined according to the controller to obtain preliminary information on the control suggestions; Get the identification information of the controller; The identification information of the controller is matched with the preliminary information of the control suggestion, and data processing is performed on the preliminary information of the control suggestion according to the matching result in combination with the identification information of the controller to obtain the final information of the control suggestion.

7. The energy efficiency management system according to claim 6, characterized in that: When the control suggestion unit feeds back the control suggestion based on the topological network, the number of final control suggestion information is determined. When the number of final control suggestion information is unique, the final control suggestion information is directly sent to the topological network, identified and recognized in the topological network, so as to obtain the control suggestion in the controller consistent with the identification information of the controller, and realize the feedback of the control suggestion. When the number of final control suggestion information is not unique, the final control suggestion information is combined together to determine the feedback information, and then the feedback information is sent to the topological network and verified using the identification information of the controller. When the identification information of the controller is consistent, the verification is passed, and the controller reads the corresponding part of the information in the feedback information, hides the read information in the feedback information, and then continues to verify for other controllers until the feedback information is completely hidden and the feedback of the control suggestion is completed.

8. A method for energy efficiency management of a controller, characterized in that: include: A topology network is established for the controller, and the topology network is established according to the region, including: determining the target region; analyzing the existing controllers in the target region and locking the target controller; building a topology relationship between the controllers for the target controller, establishing a first topology network, obtaining a sub-topology network in an initial state, and configuring the master node for the sub-topology network in the initial state to obtain a perfected sub-topology network; building a topology relationship based on the perfected sub-topology network, establishing a second topology network, and obtaining a final topology network; Monitor the controller information based on the topology network, obtain the monitoring information of the controller, and upload the monitoring information based on the topology network; Conduct energy analysis and energy efficiency assessment based on monitoring information to obtain intelligent analysis results; Energy-saving management is carried out based on the results of intelligent analysis, energy-saving optimization plans are obtained, and control suggestions are made for the controller according to the energy-saving optimization plans, including: identifying the results of intelligent analysis, determining whether the controller needs to be optimized and adjusted, and obtaining identification and judgment results; using a neural network model to perform load analysis based on the identification and judgment results to determine the energy-saving optimization plan; generating control suggestions according to the energy-saving optimization plan, and feeding back the control suggestions based on the topological network.

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