Method and system for monitoring energy efficiency of a refrigeration plant room

Abstract

The embodiment of the present application relates to the technical field of air conditioner management, and discloses a kind of energy efficiency monitoring methods of refrigeration machine room, comprising: based on the configuration mode of user design to display corresponding unit equipment in the unit construction area of air conditioning system designer to construct unit connection system;According to each connection pipeline selected by user, the data correlation of each connection pipeline selected by current user is carried out to generate display pipeline component;According to the equipment data table configured by user for each unit equipment, the refrigeration parameter and the first energy efficiency parameter of each unit equipment in unit connection system are determined, and according to the pipeline data table configured by user for each display pipeline component, the heat loss parameter of each display pipeline section in unit connection system is determined, the comprehensive energy efficiency value of unit connection system is determined, and the comprehensive energy efficiency value is displayed.The scheme of the embodiment of the present application can realize efficient air conditioning unit monitoring, and improve overall management level.

Description

Technical Field

[0001] This invention relates to the field of energy efficiency testing technology, specifically to a method and system for monitoring the energy efficiency of a refrigeration room. Background Technology

[0002] Although there are increasingly diverse methods for monitoring building cooling systems, existing methods mainly focus on direct parameters, which are not very meaningful for building or equipment managers. Furthermore, viewing a single indicator alone cannot directly reflect existing problems in equipment operation. Therefore, designing a solution for efficient indicator monitoring has become a pressing technical problem for those skilled in the art. Summary of the Invention

[0003] To address the aforementioned deficiencies, this invention discloses an energy efficiency monitoring method for refrigeration rooms, which enables high-efficiency energy efficiency monitoring of refrigeration rooms and improves overall system management efficiency.

[0004] The first aspect of this invention discloses a method for monitoring the energy efficiency of a refrigeration room, comprising:

[0005] Based on the user-designed configuration, the corresponding unit equipment is displayed in the unit construction area of ​​the air conditioning system designer to build the unit connection system. According to the unit connection system, the corresponding connection pipeline is selected in the unit equipment area to connect the various unit equipment in the unit connection system so that the various unit equipment in the unit connection system are connected. Each unit equipment is associated with a device data table.

[0006] When it is detected that the user is in the pipeline adjustment state, the data of each connected pipeline currently selected by the user is associated to generate a display pipeline component. The display pipeline component includes multiple connected pipelines, and each connected pipeline in the display pipeline component is associated with the same pipeline data table.

[0007] The cooling parameters and first energy efficiency parameters of each unit in the unit connection system are determined based on the equipment data table configured by the user for each unit equipment, and the heat loss parameters of each display pipe section in the unit connection system are determined based on the pipe data table configured by the user for each display pipe assembly.

[0008] The overall energy efficiency value of the unit connection system is determined based on the refrigeration parameters and first energy efficiency parameters of each unit equipment in the unit connection system, as well as the heat loss parameters of each display pipeline section in the unit connection system, and the overall energy efficiency value is displayed.

[0009] As an optional implementation, in the first aspect of the present invention, after displaying the comprehensive energy efficiency value, the method further includes:

[0010] The relationship between the unit connection system and the air conditioning unit system is mapped according to the unit connection system. Corresponding sensor components are installed in the unit equipment and pipeline sections of the air conditioning unit system. The sensor components are used to transmit the detected sensing information to the background server to update the corresponding equipment data table and pipeline data table in the unit connection system.

[0011] The device sensing information detected by the sensor components in the unit equipment is matched with the pre-set status-color mapping relationship to determine the display color of the corresponding unit equipment, and the color of the unit equipment in the unit connection system is updated according to the display color of the corresponding unit equipment.

[0012] The system matches the pipeline sensing information detected by the sensor components in the received pipeline segment with the pre-set pipeline-color mapping relationship to determine the display color of the corresponding pipeline segment, and updates the color of the pipeline segment in the unit connection system according to the display color of the corresponding pipeline segment.

[0013] As an optional implementation, in the first aspect of the present invention, the energy efficiency monitoring method further includes:

[0014] Obtain relevant building information, including information about each room in the building; the room information includes location information, area information, number of people, and energy efficiency update information;

[0015] The building information is associated with the corresponding unit connection system.

[0016] As an optional implementation, in the first aspect of the present invention, after obtaining the corresponding building information, the method further includes:

[0017] Obtain cooling demand information for each room area in the building;

[0018] Determine the cooling capacity of the building's air conditioning system; the air conditioning system includes an air conditioning unit, a circulating pump, a cooling pump, and a cooling tower;

[0019] Based on the energy consumption of the air conditioning unit, the circulating pump, the cooling pump, and the cooling tower, as well as the cooling capacity of the air conditioning unit system and the heat dissipation of the connecting pipes, determine the unit cooling capacity energy consumption of the air conditioning unit system, the unit cooling capacity energy consumption of the circulating pump, the unit cooling capacity energy consumption of the cooling pump, and the unit cooling capacity energy consumption of the cooling tower.

[0020] Determine the area cooling load of each room area based on the room information of each room area;

[0021] Based on the unit cooling capacity energy consumption of the air conditioning unit, the unit cooling capacity energy consumption of the circulating pump, the unit cooling capacity energy consumption of the cooling pump, and the unit cooling capacity energy consumption of the cooling tower, as well as the area cooling load of the room area, determine the area energy consumption of each room area.

[0022] Based on the regional energy consumption of each room area, determine the local electrical energy utilization efficiency of each room area in the building.

[0023] As an optional implementation, in the first aspect of the present invention, the energy efficiency update information is determined through the following steps:

[0024] Receive the air intake sensing parameters from the air intake sensing monitoring point set at the air intake duct of the air conditioning unit, and determine the outdoor heat state value of the corresponding building based on the air intake sensing parameters and the pre-constructed sensing-heat mapping table.

[0025] It receives the air outlet sensing parameters detected by the air outlet sensing monitoring points set at each air outlet of the air conditioning unit, and determines the indoor heat status value of each room in the building based on the air outlet sensing parameters detected by the air outlet sensing monitoring points at each air outlet and the pre-built sensing-heat mapping table.

[0026] Obtain the air supply distance information between each air outlet sensor monitoring point and the air inlet sensor monitoring point, and determine the heat loss parameters of each room based on the air supply distance information;

[0027] The first cooling capacity and the second cooling capacity group of the corresponding air conditioning unit are calculated based on the air intake sensor parameters of the air intake sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point. The second cooling capacity group includes multiple second cooling capacity data. The first cooling capacity is used to characterize the overall cooling capacity data of the building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building.

[0028] The operating power information of each device in the air conditioning unit is obtained. Based on the operating power information, the first and second cooling capacity groups of the air conditioning unit, and the heat loss parameters of each room, the overall cooling energy efficiency of the air conditioning unit and the cooling energy efficiency of the air conditioning unit for each room are determined. The cooling energy efficiency of each room is the energy efficiency update information.

[0029] As an optional implementation, in the first aspect of the present invention, the device data table includes a host data table, which includes power consumption, cooling capacity, cooling COP, chilled water inlet temperature, chilled water outlet temperature, cooling water inlet temperature, cooling water outlet temperature, cooling load rate, power load rate, operating power, chilled water flow rate, cooling water flow rate, cooling water heat dissipation, energy balance coefficient, and operating time.

[0030] As an optional implementation, in the first aspect of the present invention, the energy efficiency monitoring method further includes:

[0031] Receive user data request information, the data request information including data request address information, data request range and device trustworthiness;

[0032] The system uses dynamic authentication to verify the identity of the user and determine whether the user meets the access requirements of the energy efficiency monitoring system. If the user meets the requirements, the system proceeds to the next step.

[0033] The corresponding set of access addresses is determined based on the data request range, and the data request address information is matched with the set of access addresses. If the match is successful, the corresponding user is allowed to view the corresponding energy efficiency business data; if the match is unsuccessful, proceed to the next step.

[0034] Whether a user is allowed to view relevant energy efficiency data is determined based on the device's trustworthiness. The device's trustworthiness is determined through the following steps:

[0035] At the smart terminal, a device security verification module performs trusted verification on the system boot program, system program, service configuration parameters, and communication application of the communication device to obtain the corresponding device trustworthiness. The device security verification module includes a system security module, a communication security module, and a service security module. The system security module is determined through the following steps: generating a first public key and a first private key, burning the first public key into the smart terminal hardware in the form of a trusted root, signing the operating system image using the first private key, and setting the operating system to use the first public key to verify the signature of the operating system image when the operating system starts up to obtain the system security module.

[0036] A second aspect of this invention discloses an energy efficiency monitoring system for a refrigeration room, comprising:

[0037] The construction module is used to display the corresponding unit equipment in the unit construction area of ​​the air conditioning system designer based on the user-designed configuration to build the unit connection system. According to the unit connection system, the module selects the corresponding connection pipelines in the unit equipment area to connect the various unit equipment in the unit connection system so that the various unit equipment in the unit connection system are connected. Each unit equipment is associated with a device data table.

[0038] Point selection module: When the system detects that the user is in the pipeline adjustment state, it associates the data of the various connecting pipelines selected by the user to generate a display pipeline component. The display pipeline component includes multiple connecting pipelines, and each connecting pipeline in the display pipeline component is associated with the same pipeline data table.

[0039] Determine module: Used to determine the cooling parameters and first energy efficiency parameters of each unit in the unit connection system based on the equipment data table configured by the user for each unit equipment, and to determine the heat loss parameters of each display pipe section in the unit connection system based on the pipe data table configured by the user for each display pipe assembly;

[0040] Calculation module: used to determine the comprehensive energy efficiency value of the unit connection system based on the refrigeration parameters and first energy efficiency parameters of each unit equipment in the unit connection system, as well as the heat loss parameters of each display pipeline section in the unit connection system, and to display the comprehensive energy efficiency value.

[0041] A third aspect of the present invention discloses an electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor calling the executable program code stored in the memory to execute the energy efficiency monitoring method for a refrigeration room disclosed in the first aspect of the present invention.

[0042] A fourth aspect of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute the energy efficiency monitoring method for a refrigeration room disclosed in the first aspect of the present invention.

[0043] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0044] The energy efficiency monitoring method for refrigeration rooms in this embodiment of the invention utilizes a user-designed configuration, allowing users to intuitively construct the unit connection system within the air conditioning system designer. This approach not only improves design flexibility but also enables users to configure the system according to their needs and preferences, enhancing the user experience. Based on the equipment data tables and piping data tables configured by the user for each unit, the refrigeration parameters, energy efficiency parameters, and piping parameters of each unit in the unit connection system can be accurately determined, facilitating parameter configuration management. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating the energy efficiency monitoring method for a refrigeration room disclosed in an embodiment of the present invention;

[0047] Figure 2 This is a schematic diagram of the device color update process disclosed in an embodiment of the present invention;

[0048] Figure 3 This is a schematic diagram of the security verification process disclosed in an embodiment of the present invention;

[0049] Figure 4 This is a schematic diagram of the display page of the energy efficiency monitoring system disclosed in an embodiment of the present invention;

[0050] Figure 5 This is a schematic diagram of the control page of the energy efficiency monitoring system disclosed in the embodiments of the present invention;

[0051] Figure 6 This is a schematic diagram of a statistics page of the energy efficiency monitoring system disclosed in an embodiment of the present invention;

[0052] Figure 7 This is another statistical page diagram of the energy efficiency monitoring system disclosed in the embodiments of the present invention;

[0053] Figure 8 This is a flowchart illustrating the cooling energy efficiency evaluation and management method disclosed in an embodiment of the present invention;

[0054] Figure 9 This is a schematic diagram of the structure of an energy efficiency monitoring system for a refrigeration room provided in an embodiment of the present invention;

[0055] Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0056] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] While there are increasingly diverse methods for monitoring the cooling performance of buildings, existing methods primarily focus on direct parameter indicators, which are not particularly meaningful for building or equipment managers. Furthermore, viewing a single indicator alone cannot directly reflect existing operational problems. Therefore, this invention discloses a method, system, electronic equipment, and storage medium for monitoring the energy efficiency of cooling rooms. Through user-designed configuration, users can intuitively construct the unit connection system within an air conditioning system designer. This approach not only improves design flexibility but also allows users to configure the system according to their needs and preferences, enhancing the user experience. Based on the equipment data tables and piping data tables configured by the user for each unit, the cooling parameters, energy efficiency parameters, and piping parameters of each unit in the unit connection system can be accurately determined, facilitating parameter configuration management.

[0058] Example 1

[0059] Please see Figure 1 , Figure 1 This is a flowchart illustrating the energy efficiency monitoring method for a chiller room disclosed in this invention. The execution entity of the method described in this embodiment is an execution entity composed of software and / or hardware. This execution entity can receive relevant information via wired or / or wireless means and can send certain instructions. It may also have certain processing and storage functions. This execution entity can control multiple devices, such as remote physical servers or cloud servers and related software, or local hosts or servers and related software that perform related operations on devices located in a certain location. In some scenarios, it can also control multiple storage devices, which may be placed in the same location as the devices or in different locations. Figure 1 As shown, the energy efficiency monitoring method based on the refrigeration room includes the following steps:

[0060] S101: Based on the user-designed configuration method, the corresponding unit equipment is displayed in the unit construction area of ​​the air conditioning system designer to build the unit connection system. According to the unit connection system, the corresponding connection pipelines are selected in the unit equipment area to connect the various unit equipment in the unit connection system, thus enabling the various unit equipment in the unit connection system to be interconnected. Each unit equipment is associated with a device data table. The unit equipment includes cooling tower components, cooling pump components, chiller components, refrigeration pump components, and fan components.

[0061] S102: When it is detected that the user is in the pipeline adjustment state, the data of each connecting pipeline currently selected by the user is associated to generate a display pipeline component, wherein the display pipeline component includes multiple connecting pipelines, and each connecting pipeline in the display pipeline component is associated with the same pipeline data table.

[0062] S103: Determine the cooling parameters and first energy efficiency parameters of each unit in the unit connection system based on the equipment data table configured by the user for each unit equipment, and determine the heat loss parameters of each display pipe section in the unit connection system based on the pipe data table configured by the user for each display pipe assembly.

[0063] S104: Determine the comprehensive energy efficiency value of the unit connection system based on the refrigeration parameters and first energy efficiency parameters of each unit equipment in the unit connection system, as well as the heat loss parameters of each display pipeline section in the unit connection system, and display the comprehensive energy efficiency value.

[0064] In this embodiment of the invention, through a user-designed configuration method, users can intuitively construct the unit connection system in the air conditioning system designer. This method not only improves design flexibility but also allows users to configure the system according to their own needs and preferences, enhancing the user experience. Users can select the corresponding connection pipes in the unit equipment area to connect various unit devices, ensuring the connectivity of the unit connection system while simplifying the complexity of pipe connections. Each unit device is associated with a device data table, which facilitates unified management and tracking of various parameters of the unit devices. When the user is in the pipe adjustment state, they can easily generate and display pipe components by selecting connection pipes, and all connection pipes in these pipe components are associated with the same pipe data table, further simplifying the data management and analysis process.

[0065] The final display effect after setup is as follows: Figure 4 and Figure 5 As shown, it can display the connection relationships between various devices in the air conditioning unit. Through this display method, suggestions can be provided during the initial setup, and real-time data monitoring can be performed by setting the data source to the actual equipment data. In this embodiment of the invention, by connecting the data source with the actual operation of the air conditioning unit, users can more easily understand the real-time operation status of the unit and can combine multiple parameters for operational early warning, realizing operational alarms through the cloud platform. The solution of this embodiment of the invention can realize full-process management from front-end construction, real-time data updates, real-time model display, and subsequent data access.

[0066] More preferably, such as Figure 2As shown, after displaying the comprehensive energy efficiency value, the method further includes:

[0067] S105: The relationship between the unit connection system and the air conditioning unit system is mapped according to the unit connection system, and corresponding sensor components are set in the unit equipment and pipeline sections of the air conditioning unit system. The sensor components are used to transmit the detected sensing information to the background server to update the corresponding equipment data table and pipeline data table in the unit connection system.

[0068] S106: Match the device sensing information detected by the sensor components in the unit equipment with the pre-set status-color mapping relationship to determine the display color of the corresponding unit equipment, and update the color of the unit equipment in the unit connection system according to the display color of the corresponding unit equipment;

[0069] S107: Match the pipeline sensing information detected by the sensor components in the received pipeline segment with the pre-set pipeline-color mapping relationship to determine the display color of the corresponding pipeline segment, and update the color of the pipeline segment in the unit connection system according to the display color of the corresponding pipeline segment.

[0070] This invention, through the installation of sensor components on the unit equipment and piping sections of the air conditioning unit system, enables real-time detection of the status information of the unit equipment and piping, and transmits this information to a backend server. The backend server updates the corresponding equipment data tables and piping data tables in the unit connection system based on the received sensor information, ensuring the real-time nature and accuracy of energy efficiency monitoring. This real-time data update mechanism transforms energy efficiency monitoring from a static, one-off process into a dynamic adjustment that adapts to changes in the status of the unit equipment and piping, thus more accurately reflecting the system's energy efficiency.

[0071] This invention, in its embodiments, matches the received sensor information from the unit's equipment sensor components with a pre-set status-color mapping relationship to determine the display color of the corresponding unit equipment. This color coding method allows users to intuitively see the operating status of the unit equipment, such as normal, warning, or fault. Similarly, color coding is also used for pipeline sections, determining their display color based on received pipeline sensor information. This method not only improves the intuitiveness of monitoring but also provides timely warnings when abnormalities occur in unit equipment or pipeline sections, reminding users to take appropriate measures.

[0072] By updating the status information of the generating units and pipelines in real time, and combining this with a color-coded visual monitoring method, users can quickly locate inefficient generating units or pipeline sections, as well as faulty components. This efficient location method enables users to take corresponding measures for energy efficiency optimization or fault handling more quickly, thereby improving the overall system's operating efficiency and stability.

[0073] During implementation, different device statuses and colors should be displayed based on the provided parameter values. Configuration-related devices will have additional parameters compared to the provided point table. Configure device colors and display text according to the following parameters. The following example can be freely modified according to customer needs. Calculated parameters "Water Pump Status Color" / "Cooling Tower Status Color" are added to devices under "Water Pump Status" and "Cooling Tower Status". These calculated parameters are applied to display different numbers representing different statuses based on the values ​​of multiple status parameters for this device. The values ​​of the calculated parameters "Water Pump Status Color" / "Cooling Tower Status Color" correspond to the color levels in the provided table. For example, a color level of 1 corresponds to a water pump status color value of 1, representing a fault, and the device is displayed in red. Using different colors to represent different operating states allows users to directly determine the status of each device by viewing the graph, enabling the corresponding operations team to efficiently and promptly understand the status of different devices without having to check each device individually, greatly improving operational management efficiency. Furthermore, during implementation, data can be transmitted back in real time, allowing the operations team to accumulate valuable operational data.

[0074] More preferably, the energy efficiency monitoring method further includes:

[0075] Obtain relevant building information, including information about each room in the building; the room information includes location information, area information, number of people, and energy efficiency update information;

[0076] The building information is associated with the corresponding unit connection system.

[0077] This invention enables refined management of building energy efficiency by acquiring information about each room in a building, including its location, area, number of occupants, and updated energy efficiency information. This information provides a more detailed and accurate data foundation for energy efficiency monitoring and optimization.

[0078] In this embodiment of the invention, building information is correlated with the unit connection system, enabling energy efficiency monitoring to extend beyond the unit equipment and piping itself to the energy efficiency management of the entire building. This data correlation facilitates comprehensive analysis and optimization of building energy efficiency from a global perspective. Based on the specific information of each room in the building, more personalized energy efficiency optimization strategies can be formulated. For example, for densely populated and large rooms, larger capacity unit equipment may be required to meet cooling needs; while for less populated and smaller rooms, energy consumption can be reduced by adjusting the operating parameters of the unit equipment.

[0079] By comprehensively considering building information and data from the unit connection system, areas and processes with low energy efficiency can be identified more accurately, allowing for more targeted optimization measures. This refined energy efficiency management approach helps improve the effectiveness of energy efficiency optimization and reduce unnecessary energy consumption. The data correlation between building information and the unit connection system can also support intelligent decision-making. Through data analysis, the building's energy efficiency requirements for a future period can be predicted, and the operating strategies of the unit equipment can be adjusted in advance to achieve more efficient and energy-saving operation and management.

[0080] More preferably, after obtaining the relevant building information, the method further includes:

[0081] Obtain cooling demand information for each room area in the building;

[0082] Determine the cooling capacity of the building's air conditioning system; the air conditioning system includes an air conditioning unit, a circulating pump, a cooling pump, and a cooling tower;

[0083] Based on the energy consumption of the air conditioning unit, the circulating pump, the cooling pump, and the cooling tower, as well as the cooling capacity of the air conditioning unit system and the heat dissipation of the connecting pipes, determine the unit cooling capacity energy consumption of the air conditioning unit system, the unit cooling capacity energy consumption of the circulating pump, the unit cooling capacity energy consumption of the cooling pump, and the unit cooling capacity energy consumption of the cooling tower.

[0084] Determine the area cooling load of each room area based on the room information of each room area;

[0085] Based on the unit cooling capacity energy consumption of the air conditioning unit, the unit cooling capacity energy consumption of the circulating pump, the unit cooling capacity energy consumption of the cooling pump, and the unit cooling capacity energy consumption of the cooling tower, as well as the area cooling load of the room area, determine the area energy consumption of each room area.

[0086] Based on the regional energy consumption of each room area, determine the local electrical energy utilization efficiency of each room area in the building.

[0087] This invention, by acquiring cooling demand information for each room area within a building and combining it with the cooling capacity of the air conditioning unit system, can more accurately assess the energy consumption of the entire system. This precise energy consumption assessment method helps identify high-energy-consuming areas and equipment, providing data support for subsequent energy efficiency optimization. Determining the unit cooling capacity energy consumption of the air conditioning unit system, circulating pump, cooling pump, and cooling tower helps analyze the energy efficiency performance of each device. By comparing the unit cooling capacity energy consumption of different devices, inefficient devices can be identified, and corresponding optimization measures can be taken.

[0088] Determining the regional cooling load of each room area based on its information, and then combining this regional cooling load with the unit cooling capacity energy consumption of each piece of equipment, allows for a more accurate assessment of the energy consumption of each room area. This correlation analysis facilitates refined energy management and improves the targeted nature of energy efficiency optimization. Calculating the local electrical energy utilization efficiency of each room area within a building provides a clear picture of the energy efficiency level of each area. For areas with lower energy efficiency, targeted optimization measures can be implemented, such as adjusting equipment parameters and optimizing operating strategies, to improve local electrical energy utilization efficiency.

[0089] In practical implementation, data from different time periods can be collected, including average, off-peak, peak, and sluggish periods; the operating status of each device during different time periods can be determined; and refined operating strategies can be provided through the above methods. A 24-hour day is divided into average, off-peak, peak, and sluggish periods. This division is based on the changing patterns of electricity demand. Off-peak periods typically correspond to the lowest electricity demand (e.g., late night to early morning), peak and sluggish periods correspond to the highest electricity demand (e.g., working hours and times of peak electricity consumption), and average periods fall between the two. The operating status of equipment is monitored in real time using sensors, Internet of Things (IoT) technology, and other means. Key data such as equipment operating time, downtime, and maintenance time are recorded during different time periods.

[0090] Utilize big data analytics to conduct in-depth analysis of collected time-period data. Identify equipment operating efficiency and failure frequency at different times. Determine whether equipment is operating at its optimal state during different periods. Based on the data analysis results, formulate targeted operating strategies. For example, schedule equipment maintenance or low-energy production activities during periods of low electricity demand (valley periods); optimize production processes and improve equipment utilization during periods of peak electricity demand (peak or trough periods).

[0091] More preferably, the energy efficiency update information is determined through the following steps:

[0092] Receive the air intake sensing parameters from the air intake sensing monitoring point set at the air intake duct of the air conditioning unit, and determine the outdoor heat state value of the corresponding building based on the air intake sensing parameters and the pre-constructed sensing-heat mapping table.

[0093] It receives the air outlet sensing parameters detected by the air outlet sensing monitoring points set at each air outlet of the air conditioning unit, and determines the indoor heat status value of each room in the building based on the air outlet sensing parameters detected by the air outlet sensing monitoring points at each air outlet and the pre-built sensing-heat mapping table.

[0094] Obtain the air supply distance information between each air outlet sensor monitoring point and the air inlet sensor monitoring point, and determine the heat loss parameters of each room based on the air supply distance information;

[0095] The first cooling capacity and the second cooling capacity group of the corresponding air conditioning unit are calculated based on the air intake sensor parameters of the air intake sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point. The second cooling capacity group includes multiple second cooling capacity data. The first cooling capacity is used to characterize the overall cooling capacity data of the building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building.

[0096] The system acquires the operating power information of each device within the air conditioning unit. Based on this operating power information, the first and second cooling capacity groups of the air conditioning unit, and the heat loss parameters of each room, it determines the overall cooling efficiency of the air conditioning unit and the cooling efficiency of the air conditioning unit for each room. The cooling efficiency of each room is the updated energy efficiency information. This method enables timely updates to energy efficiency. In practical implementation, the collected parameters can be displayed comprehensively, such as... Figure 5 , Figure 6 and Figure 7 As shown.

[0097] More preferably, the device data table includes a host data table, which includes power consumption, cooling capacity, cooling COP, chilled water inlet temperature, chilled water outlet temperature, cooling water inlet temperature, cooling water outlet temperature, cooling load rate, power load rate, operating power, chilled water flow rate, cooling water flow rate, cooling water heat dissipation, energy balance coefficient, and operating time.

[0098] The host data table provided in this embodiment of the invention includes key indicators such as power consumption, cooling capacity, and cooling COP (coefficient of performance), which comprehensively reflect the energy efficiency of the air conditioning host. By monitoring these parameters, the energy consumption level and cooling efficiency of the host can be accurately assessed. Temperature parameters such as chilled water inlet temperature, chilled water outlet temperature, cooling water inlet temperature, and cooling water outlet temperature, as well as flow parameters such as chilled water flow rate and cooling water flow rate in the host data table, provide a basis for precise temperature and flow control. By optimizing these parameters, the energy efficiency level of the host can be further improved.

[0099] Cooling load rate and power load rate reflect the degree of matching between the actual operating load of the main unit and its rated power. By monitoring these parameters, the main unit's operating parameters can be identified and adjusted in a timely manner to ensure that the main unit operates under optimal conditions and avoid energy waste.

[0100] Parameters such as the energy balance factor and cooling water heat dissipation are helpful in evaluating the host's energy conversion efficiency and heat dissipation performance. By optimizing these parameters, the host's energy efficiency can be further improved, and unnecessary energy consumption can be reduced.

[0101] The runtime parameter records the actual operating time of the host, which is crucial for evaluating host efficiency and developing energy efficiency optimization strategies. By rationally scheduling the host's operating time, energy efficiency can be further improved and the host's lifespan extended.

[0102] The detailed parameters provided in the host datasheet enable in-depth analysis of the host's energy efficiency performance. Data analysis can identify areas of low energy efficiency and allow for corresponding optimization measures. Furthermore, this data can support the development of more scientific energy efficiency optimization strategies.

[0103] In addition to the main unit data table, other data tables such as the circulating pump data table, cooling pump data table, and water tower data table are all equipped with corresponding indicators for comprehensive display, making it easier for users to understand the unit's operating status.

[0104] More preferably, such as Figure 3 As shown, the energy efficiency monitoring method further includes:

[0105] S100a: Receive data request information from the user, the data request information including data request address information, data request range and device trustworthiness; the user sends data request information through a certain interface or interface, the information including data request address information (i.e., the data location the user wants to access), data request range (such as time range, data type, etc.) and device trustworthiness (may indicate the security or trustworthiness level of the user's device).

[0106] S100b: The system dynamically authenticates the user based on a dynamic verification method to determine if the user meets the access requirements of the energy efficiency monitoring system. If the requirements are met, the system proceeds to the next step. The system authenticates the requesting user using a preset dynamic verification method (such as SMS verification code, biometrics, dynamic password, etc.). After successful verification, the system confirms that the user meets the access requirements of the energy efficiency monitoring system and allows them to continue with subsequent steps.

[0107] S100c: Determine the corresponding set of access addresses based on the data request range, and match the data request address information with the set of access addresses. If the match is successful, allow the corresponding user to view the corresponding energy efficiency service data; if the match is unsuccessful, proceed to the next step.

[0108] The system determines the corresponding set of access addresses based on the user's data request range. It then matches the user-provided data request address information against this set of access addresses. If a match is found, the user is allowed to view the corresponding energy efficiency business data; otherwise, the system proceeds to the next step of device trustworthiness verification.

[0109] S100d: Determine whether to allow the corresponding user to view the relevant energy efficiency service data based on the device's trustworthiness. The device's trustworthiness is determined through the following steps:

[0110] At the smart terminal, a device security verification module performs trusted verification on the system boot program, system program, service configuration parameters, and communication application of the communication device to obtain the corresponding device trustworthiness. The device security verification module includes a system security module, a communication security module, and a service security module. The system security module is determined through the following steps: generating a first public key and a first private key, burning the first public key into the smart terminal hardware in the form of a trusted root, signing the operating system image using the first private key, and setting the operating system to use the first public key to verify the signature of the operating system image when the operating system starts up to obtain the system security module.

[0111] At the smart terminal, a device security verification module performs trusted verification on multiple aspects of the communication device (such as the system bootloader, system programs, service configuration parameters, and communication applications). This module comprises a system security module, a communication security module, and a service security module, which work together to assess the device's trustworthiness. The system security module is implemented by generating a first public key and a first private key, burning the first public key as a root of trust into the smart terminal hardware, signing the operating system image using the first private key, and verifying the signature using the first public key during operating system startup. This process ensures the integrity and security of the operating system. Based on the device trustworthiness verification results, the system decides whether to allow the user to view the corresponding energy efficiency service data.

[0112] In practical implementation, various data access policies can be set. For example, different IP addresses can be defined as different locations, while the same IP address can allow the same account to log in multiple times, facilitating simultaneous viewing of multiple pages. An account cannot log in simultaneously from different IP addresses; subsequent logins from different IP addresses will override earlier logins. Since all three systems use the same username, if logins occur from different IPs, regardless of which system is logged into, all logins from the previous IP will be overridden. This significantly improves overall security. Furthermore, the monitoring system can be configured with multiple users, including operational users, equipment manufacturers, and third-party users who require energy data.

[0113] The energy efficiency monitoring method for refrigeration rooms in this embodiment of the invention utilizes a user-designed configuration, allowing users to intuitively construct the unit connection system within the air conditioning system designer. This approach not only improves design flexibility but also enables users to configure the system according to their needs and preferences, enhancing the user experience. Based on the equipment data tables and piping data tables configured by the user for each unit, the refrigeration parameters, energy efficiency parameters, and piping parameters of each unit in the unit connection system can be accurately determined, facilitating parameter configuration management.

[0114] Example 2

[0115] like Figure 8 As shown, this management method based on refrigeration energy efficiency evaluation includes the following steps:

[0116] S201: Receive the air intake sensing parameters from the air intake sensing monitoring point set at the air intake duct of the air conditioning unit, and determine the outdoor heat state value of the corresponding building based on the air intake sensing parameters and the pre-constructed sensing-heat mapping table.

[0117] S202: Receive the air outlet sensing parameters detected by the air outlet sensing monitoring points set at each air outlet of the air conditioning unit, and determine the indoor heat status value of each room in the building based on the air outlet sensing monitoring points detected at each air outlet and the pre-built sensing-heat mapping table.

[0118] S203: Obtain the air supply distance information between each air outlet sensor monitoring point and the air inlet sensor monitoring point, and determine the heat loss parameters of each room based on the air supply distance information;

[0119] S204: The first cooling capacity and the second cooling capacity group of the corresponding air conditioning unit are calculated based on the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point. The second cooling capacity group includes multiple second cooling capacity data. The first cooling capacity is used to characterize the overall cooling capacity data of the building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building.

[0120] S205: Obtain the operating power information of each device in the air conditioning unit, determine the overall cooling efficiency of the air conditioning unit and the cooling efficiency of the air conditioning unit for each room based on the operating power information, the first cooling capacity and the second cooling capacity group of the air conditioning unit, and the heat loss parameters of each room; and update the overall data table based on the overall cooling efficiency of the air conditioning unit and the cooling efficiency of the air conditioning unit for each room.

[0121] The solution of this invention, by setting sensor monitoring points in the air intake duct and each air outlet of the air conditioning unit, can acquire the sensor parameters of the intake and exhaust air in real time and accurately. These parameters, combined with a pre-constructed sensor-heat mapping table, can accurately determine the outdoor heat status of the building and the indoor heat status of each room within the building. This precise monitoring provides a reliable data foundation for subsequent cooling energy efficiency assessments.

[0122] The method in this invention not only calculates a first cooling capacity characterizing the overall cooling capacity of a building, but also a second cooling capacity group characterizing the cooling capacity of each room within the building. This detailed distinction allows energy efficiency assessments to be specific to each room, thereby more accurately reflecting the actual cooling effect of the air conditioning unit in different rooms.

[0123] Determining heat loss parameters for each room by acquiring air supply distance information takes into account energy losses during the air supply process, making energy efficiency assessments more comprehensive and accurate. This helps identify and optimize energy efficiency reduction issues caused by excessively long air supply distances or improper duct design.

[0124] This invention determines the heat loss parameters of each room by acquiring air supply distance information. This step takes into account energy loss during the air supply process, making energy efficiency assessment more comprehensive and accurate. This helps identify and optimize energy efficiency reduction problems caused by excessive air supply distance or improper duct design. Furthermore, it can assist in assessing duct condition during implementation and performing maintenance on duct sections exhibiting abnormalities.

[0125] The overall data sheet is updated based on the overall cooling energy efficiency of the air conditioning unit and the cooling energy efficiency of each room. This means that the management method is a dynamic and continuous optimization process. By constantly collecting and analyzing data, energy efficiency problems can be identified in a timely manner and corresponding measures can be taken for improvement, thereby achieving long-term energy efficiency enhancement.

[0126] Overall, this method, through precise monitoring, personalized assessment, consideration of heat loss factors, and dynamic updates, helps improve the energy efficiency of air conditioning units. This not only reduces building energy costs but also helps reduce carbon emissions, thus contributing to sustainable development.

[0127] More preferably, the air intake sensing parameters include outdoor dry-bulb temperature, outdoor wet-bulb temperature, air intake velocity information, and a first measurement period; the air outlet sensing parameters include indoor dry-bulb temperature, indoor wet-bulb temperature, air outlet velocity information, and a second measurement period.

[0128] The step of determining the outdoor thermal state value of the corresponding building based on the air intake sensing parameters and the pre-constructed sensor-thermal mapping table includes:

[0129] S2011: Determine the corresponding outdoor humidity information based on the outdoor dry-bulb temperature and the outdoor wet-bulb temperature;

[0130] S2012: Based on the outdoor dry-bulb temperature, outdoor wet-bulb temperature and outdoor humidity information, perform data matching with a pre-built sensor-thermal mapping table to determine the outdoor thermal state value of the corresponding building.

[0131] The process of determining the indoor thermal state values ​​of each room in the building based on the air outlet sensing parameters detected by the air outlet sensing monitoring points and the pre-constructed sensor-heat mapping table includes:

[0132] S2021: Determine the corresponding indoor humidity information based on the indoor dry-bulb temperature and the indoor wet-bulb temperature;

[0133] S2021: Based on the indoor dry-bulb temperature, indoor wet-bulb temperature and indoor humidity information, perform data matching with a pre-built sensor-thermal mapping table to determine the indoor thermal state value of each room in the building;

[0134] The calculation of the first and second cooling capacity sets of the corresponding air conditioning unit based on the air inlet sensor parameters of each air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point includes:

[0135] The air intake velocity information of the air intake sensor monitoring point and the first measurement period are used to determine the air intake volume parameters of the corresponding air intake sensor monitoring point.

[0136] The airflow parameters of the corresponding air outlet sensing points are determined based on the airflow velocity information detected by each air outlet sensing point and the second measurement period.

[0137] The first and second cooling capacities of the corresponding air conditioning units are determined based on the building's outdoor thermal state value, the indoor thermal state values ​​of each room within the building, and a pre-set cooling calculation formula; the cooling calculation formula includes:

[0138]

[0139] Q i =L i ×(HT o -HT i )

[0140] Among them, Q t Q represents the primary cooling capacity, which is the total cooling capacity of the entire building; i This represents the second cooling capacity, which is also the cooling capacity of the i-th room; L represents the intake air volume parameter, L i HT represents the air volume parameter of the i-th room. o The outdoor thermal state value, HT i This represents the indoor thermal state of the i-th room, where n is the total number of rooms.

[0141] The solution in this invention refines the inlet and outlet air sensing parameters (e.g., including dry-bulb temperature, wet-bulb temperature, velocity information, and measurement period), making the monitoring data more comprehensive and accurate. This helps to more accurately reflect the outdoor and indoor thermal conditions and improve the accuracy of energy efficiency assessments.

[0142] This method considers the impact of humidity on cooling performance by calculating humidity information based on dry-bulb and wet-bulb temperatures. Humidity is a crucial factor affecting human comfort and cooling efficiency; therefore, incorporating humidity information allows for a more comprehensive assessment of cooling energy efficiency. The cooling capacity calculation considers not only intake and exhaust airflow parameters but also outdoor and indoor thermal state values. Using pre-set cooling calculation formulas, the first cooling capacity (total cooling capacity of the entire building) and the second cooling capacity (cooling capacity of each room) of the air conditioning unit can be accurately calculated. This precise calculation helps to more accurately assess the energy efficiency of the air conditioning unit. This method not only assesses the overall cooling energy efficiency of the air conditioning unit but also provides personalized energy efficiency assessments for each room. This comprehensive assessment helps identify energy efficiency bottlenecks and implement targeted optimization measures. Through precise energy efficiency assessments and personalized optimization measures, this method helps optimize the operation of air conditioning units and improve energy utilization efficiency. This not only helps reduce building energy costs but also contributes to reducing carbon emissions and achieving sustainable development.

[0143] More preferably, the first measurement period and the second measurement period are different, and the second measurement period is determined based on the first measurement period and the air supply distance information;

[0144] The process of determining the heat loss parameters of each room based on the air supply distance information includes:

[0145] The heat loss parameters of each room are determined based on the outdoor dry-bulb temperature, indoor dry-bulb temperature, and air supply distance. The outdoor dry-bulb temperature, indoor dry-bulb temperature, and air supply distance are matched with a pre-set heat loss table to determine the corresponding loss comparison parameters. The heat loss parameters of each room are then matched with the corresponding loss comparison parameters. If the parameters meet the requirements, no operational adjustments are made to the equipment in the air conditioning unit. If the parameters do not meet the requirements, the operational parameters of the equipment in the air conditioning unit are adjusted.

[0146] The solution in this invention considers potential delays and variations during air supply by setting different first and second measurement periods. Adjusting the second measurement period based on air supply distance information ensures accurate airflow sensor parameters are obtained at appropriate times, thereby improving the accuracy of energy efficiency assessment. Determining heat loss parameters for each room based on outdoor dry-bulb temperature, indoor dry-bulb temperature, and air supply distance considers the impact of multiple factors on heat loss. Matching with a pre-set heat loss table dynamically determines the heat loss situation in each room, providing a basis for subsequent energy efficiency assessment and equipment adjustment. The method proposes determining whether to adjust the operation of the air conditioning unit based on the matching results of heat loss parameters and loss comparison parameters. This intelligent equipment adjustment method automatically optimizes the operating parameters of the air conditioning unit according to actual conditions, thereby improving energy efficiency and reducing energy consumption. By regularly monitoring and evaluating heat loss parameters and adjusting equipment as needed, this method achieves continuous and dynamic energy efficiency optimization. This helps ensure that the air conditioning unit maintains optimal energy efficiency under different conditions. By comprehensively considering time-of-day differences, air supply distance, and heat loss parameters, this method can more accurately assess the energy efficiency of air conditioning units and implement targeted optimization measures. This not only helps improve energy utilization efficiency but also reduces energy costs, achieving a win-win situation for both economic and environmental benefits.

[0147] More preferably, the step of obtaining the operating power information of each device within the air conditioning unit, and determining the overall cooling efficiency of the air conditioning unit and the cooling efficiency of the air conditioning unit for each room based on the operating power information, the first and second cooling capacity groups of the air conditioning unit, and the heat loss parameters of each room, includes:

[0148] S2041: The chiller power value of the air conditioning unit is calculated based on the pre-constructed chiller power calculation formula and the obtained first cooling capacity, evaporation temperature information, condensation temperature information, and cooling efficiency information of the air conditioning unit; the chiller power calculation formula is: Where P1 represents the chiller's operating power; Q t For the first cooling capacity, T0 represents the evaporation temperature information, T k η represents the condensation temperature information, and η represents the refrigeration efficiency information;

[0149] S2042: Obtain the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower, and determine the total operating power of the air conditioning unit based on the chiller power value, the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower.

[0150] S2043: The overall cooling energy efficiency of the air conditioning unit is determined based on the first cooling capacity, the total operating power of the air conditioning unit, and the first energy efficiency calculation formula; the first energy efficiency calculation formula is:

[0151] Where EER represents the overall cooling energy efficiency of the air conditioning unit, P1 represents the chiller power value, P2 represents the operating power of the cooling water pump, P3 represents the operating power of the fan, and P4 represents the operating power of the cooling tower; Q L This indicates the total heat loss;

[0152] S2044: The cooling energy efficiency of the air conditioning unit for each room is determined based on the second cooling capacity group of the air conditioning unit, the total operating power of the air conditioning unit, and the second energy efficiency calculation formula; the second energy efficiency calculation formula is: Among them, EER i w represents the cooling energy efficiency of the i-th room. i This represents the weight of the i-th room in the total energy consumption of the building.

[0153] The solution of this invention comprehensively considers factors such as the cooling capacity, energy consumption, and heat loss of the air conditioning unit, enabling precise evaluation of the overall energy efficiency of the air conditioning unit and the cooling energy efficiency of each room. This helps identify energy efficiency problems and take targeted optimization measures. By calculating the cooling energy efficiency and energy consumption weight of each room, this method can identify rooms with low energy efficiency and focus on optimizing them. This helps reduce energy costs and improve energy utilization efficiency. This method combines sensor monitoring, data analysis, and energy efficiency calculation technologies to achieve intelligent management of the air conditioning unit's energy efficiency. By monitoring and evaluating energy efficiency data in real time, energy efficiency problems can be identified and adjusted promptly, ensuring that the air conditioning unit always operates at its optimal state. By improving the energy efficiency level of the air conditioning unit, this method helps reduce carbon emissions and energy consumption, promoting sustainable development. This is of great significance for achieving energy conservation and emission reduction goals and promoting the development of green buildings.

[0154] w in the embodiments of the present invention i Dynamic adjustments are made based on actual parameters of each area, such as area, number of people, and the open / closed status of doors and windows, to better reflect the actual situation. i This makes the final calculation more accurate.

[0155] More preferably, the energy efficiency evaluation and management method further includes:

[0156] S200a: The system determines the operating segment information of the air conditioning unit based on the current time point and matches this operating segment information with the clustering results to determine the category label corresponding to the operating segment information. In this step, the system first determines the operating segment information of the air conditioning unit based on the current time point. This typically involves matching the current time with a preset time period (such as morning, noon, evening, night, etc.) to determine the current operating segment. Next, the system matches the operating segment information with the clustering results obtained through previous clustering analysis. Clustering analysis may be based on historical data (such as outdoor temperature, humidity, load demand, etc. in different time periods) to identify the typical operating mode or category label of the air conditioning unit in different time periods. Through matching, the system can determine the category label corresponding to the current operating segment, which helps in constructing the input feature parameters of the subsequent operating condition identification model.

[0157] More preferably, the runtime information here refers to the start-up period, stable runtime period, commercial area runtime period, and shutdown runtime period. Different runtime periods have different runtime categories. For example, during the start-up period, there are three clusters: the first cluster occurs at varying times between 7:00 and 8:30 AM; the second cluster occurs at 7:00 AM; and the third cluster occurs at 7:30 AM. Under these different conditions, the corresponding air conditioning unit loads vary. During the stable runtime period, there are two clusters, and during the commercial area runtime period, there are also two clusters, each representing different runtime loads. The shutdown period also has one cluster. By specifically categorizing different runtime periods, subsequent identification becomes more accurate.

[0158] S200b: The system acquires outdoor temperature and humidity information, along with category labels, to construct input feature parameters. After determining the category label for the current operating segment, the system further acquires outdoor temperature and humidity information. This information is typically obtained in real-time through sensors installed outdoors. The system combines this information with the category labels to construct the input feature parameters. These feature parameters will be used as input to the operating condition identification model to identify the operating status data of the air conditioning unit.

[0159] S200c: The input feature parameters are input into a pre-built operating condition identification model for identification to determine the operating status data of the air conditioning unit; and corresponding control operations are performed based on the operating status data of the air conditioning unit. The system inputs the constructed input feature parameters into the pre-built operating condition identification model. This model may be trained based on machine learning algorithms (such as neural networks, support vector machines, decision trees, etc.) to identify the operating status data of the air conditioning unit under different operating conditions. The operating condition identification model outputs the operating status data of the air conditioning unit, such as cooling capacity, air volume, energy consumption, etc. These data reflect the performance of the air conditioning unit under the current operating conditions. Based on these operating status data, the system can perform corresponding control operations. For example, if it is identified that the energy consumption of the air conditioning unit is too high under the current operating conditions, the system can automatically adjust the operating parameters of the air conditioning unit (such as reducing the air volume, increasing the evaporation temperature, etc.) to reduce energy consumption and improve energy efficiency. When setting specific strategies, different strategy configurations can be used for different time periods, and specific adjustments can be made based on parameters such as time, number of units, set temperature, and set frequency.

[0160] This invention, through combining runtime information, outdoor temperature information, and outdoor humidity information with a pre-built operating condition identification model, enables precise identification of the operating conditions of air conditioning units. This helps the system more accurately understand the performance of the air conditioning units and take targeted control actions. Based on the operating condition identification results, the system can automatically adjust the operating parameters of the air conditioning units to reduce energy consumption and improve energy efficiency. This intelligent control optimization helps reduce unnecessary energy consumption and improve energy utilization efficiency. By introducing operating condition identification and control optimization technologies, this method improves the energy efficiency management level of air conditioning units. This helps building managers better understand the operating status of air conditioning units, promptly identify problems, and take corresponding optimization measures.

[0161] More preferably, the working condition identification model is obtained through the following steps:

[0162] S200c1: Acquire sample data of air conditioning operating conditions and use the sample data as the initial node. The sample data includes the air conditioning operation records under different operating conditions, including outdoor temperature, indoor set temperature, humidity, wind speed and power consumption.

[0163] S200c2: Traverse all feature parameters and corresponding split points in the sample data, calculate the information gain parameter of each split point, and select the split point with the largest information gain parameter as the best split point for the current node.

[0164] S200c3: Split the current node into two or more child nodes according to the optimal splitting node; and use the child nodes as the starting point for subsequent splits, and repeat the above splitting steps until the set stopping condition is met. The set stopping condition includes all nodes belonging to the same category or all nodes having information gain parameters less than a set threshold.

[0165] This method can efficiently process large amounts of sample data on air conditioning operating conditions, including multiple feature parameters such as outdoor temperature, indoor set temperature, humidity, wind speed, and power consumption. By traversing all feature parameters and corresponding split points, calculating information gain parameters, and selecting the optimal split point for node splitting, this method can progressively construct a complex operating condition recognition model. Through continuous node splitting and optimization of the operating condition recognition model, this method can construct an operating condition recognition model with high accuracy and high generalization ability. This model can accurately identify the operating status of air conditioners under different conditions, providing reliable data support for subsequent energy efficiency evaluation and management. This method allows for flexible adjustment of splitting and stopping conditions during model construction to adapt to the needs of different scenarios. For example, the depth of the decision tree can be controlled by setting different information gain thresholds, thereby balancing the complexity and recognition accuracy of the model.

[0166] As new data is continuously generated and accumulated, the solution of this invention supports online updates and optimization of the model. By introducing new sample data and retraining the model, the model's recognition accuracy and generalization ability can be continuously improved. By accurately identifying air conditioning operating conditions and adopting corresponding control strategies, this method helps reduce the energy consumption of air conditioning systems and improve energy efficiency. This is of great significance for achieving energy conservation and emission reduction goals and promoting the development of green buildings. At the same time, this method also provides building managers with an effective energy efficiency management tool, which helps to improve the overall energy efficiency level of buildings.

[0167] More preferably, after determining the overall cooling efficiency of the air conditioning unit and the cooling efficiency of the air conditioning unit for each room, the method further includes:

[0168] S206: Determine whether the overall cooling efficiency of the air conditioning unit and the cooling efficiency of the air conditioning unit for each room meet the preset equipment operating conditions.

[0169] S207: When it is determined that the overall cooling energy efficiency of the air conditioning unit and the cooling energy efficiency of the air conditioning unit for each room do not meet the preset equipment operating conditions, the first energy efficiency parameter of the air conditioning unit is determined based on the overall cooling energy efficiency of the air conditioning unit and the cooling energy efficiency of the air conditioning unit for each room, and the second energy efficiency parameter is determined based on the equipment operating conditions.

[0170] S208: Calculate the energy efficiency difference between the first energy efficiency parameter and the second energy efficiency parameter;

[0171] S209: Based on the energy efficiency difference, determine the optimization adjustment strategy of the air conditioning unit to achieve optimized operation of each device in the air conditioning unit.

[0172] The solution implemented in this invention accurately assesses the energy efficiency of air conditioning units by determining whether the overall cooling efficiency of the air conditioning unit and the cooling efficiency of each room meet the preset equipment operating conditions. This process helps to identify energy efficiency problems in a timely manner and provides data support for subsequent optimization and adjustments.

[0173] When it is determined that the energy efficiency does not meet the preset conditions, this process compares the actual energy efficiency parameters of the air conditioning unit (first energy efficiency parameter) with the preset equipment operating conditions (second energy efficiency parameter). By calculating the energy efficiency difference, the energy efficiency gap can be quantified, providing clear guidance for subsequent optimization and adjustments.

[0174] Based on energy efficiency differentials, this process can determine optimization strategies for air conditioning units. These strategies may include adjusting the operating parameters of the air conditioning unit (such as cooling capacity, air volume, evaporation temperature, etc.), optimizing equipment configuration (such as replacing with more efficient equipment), and improving the control system. By implementing these strategies, the operation of each device in the air conditioning unit can be optimized, thereby improving energy efficiency.

[0175] This process improves the energy efficiency management of air conditioning units through precise energy efficiency assessments and clear optimization strategies. This helps reduce unnecessary energy consumption, lower operating costs, and also contributes to improving the overall energy efficiency of the building.

[0176] This invention implements precise regional division of each building. Each region can be configured with parameters including area, number of people passing through, number of door openings and closings, door opening area, orientation, and work unit type to construct the attributes of each room. Then, based on the attributes, it identifies similar rooms and performs specific energy efficiency comparisons by comparing rooms with the same conditions to achieve precise operation control of the corresponding air conditioning units.

[0177] The cooling energy efficiency evaluation and management method in this embodiment of the invention not only calculates the overall cooling capacity of the air conditioning unit, but also calculates the cooling capacity for each room in the building. This personalized evaluation method makes energy efficiency management more detailed and accurate, and helps to identify and optimize energy efficiency problems in individual rooms.

[0178] Example 2

[0179] Please see Figure 9 , Figure 9 This is a schematic diagram of the energy efficiency monitoring system for a refrigeration room disclosed in an embodiment of the present invention. Figure 9 As shown, the energy efficiency monitoring system for this refrigeration room may include:

[0180] Module 21: Used to display the corresponding unit equipment in the unit construction area of ​​the air conditioning system designer based on the user-designed configuration method to build the unit connection system, and select the corresponding connection pipeline in the unit equipment area according to the unit connection system to connect the pipelines of each unit equipment in the unit connection system so that the various unit equipment in the unit connection system are connected; wherein, each unit equipment is associated with a device data table;

[0181] Point selection module 22: When it is detected that the user is in the pipeline adjustment state, it is used to associate the data of each connecting pipeline currently selected by the user to generate a display pipeline component, wherein the display pipeline component includes multiple connecting pipelines, and each connecting pipeline in the display pipeline component is associated with the same pipeline data table.

[0182] Determining module 23: is used to determine the cooling parameters and first energy efficiency parameters of each unit equipment in the unit connection system based on the equipment data table configured by the user for each unit equipment, and to determine the heat loss parameters of each display pipe section in the unit connection system based on the pipe data table configured by the user for each display pipe assembly;

[0183] Calculation module 24: used to determine the comprehensive energy efficiency value of the unit connection system based on the refrigeration parameters and first energy efficiency parameters of each unit equipment in the unit connection system, as well as the heat loss parameters of each display pipeline section in the unit connection system, and to display the comprehensive energy efficiency value.

[0184] Example 3

[0185] Please see Figure 10 , Figure 10 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention. The electronic device can be a computer, a server, etc. Of course, in certain cases, it can also be a mobile phone, tablet computer, monitoring terminal, or other smart device, as well as an image acquisition device with processing capabilities. Figure 10 As shown, the electronic device may include:

[0186] Memory 510 storing executable program code;

[0187] Processor 520 coupled to memory 510;

[0188] Specifically, the processor 520 calls the executable program code stored in the memory 510 to execute the embodiment.

[0189] The energy efficiency monitoring method, system, electronic equipment, and storage medium for refrigeration rooms disclosed in the embodiments of the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for monitoring the energy efficiency of a refrigeration room, characterized in that, include: Based on the user-designed configuration, the corresponding unit equipment is displayed in the unit construction area of ​​the air conditioning system designer to build the unit connection system. According to the unit connection system, the corresponding connection pipeline is selected in the unit equipment area to connect the various unit equipment in the unit connection system so that the various unit equipment in the unit connection system are connected. Each unit equipment is associated with a device data table. When it is detected that the user is in the pipeline adjustment state, the data of each connected pipeline currently selected by the user is associated to generate a display pipeline component. The display pipeline component includes multiple connected pipelines, and each connected pipeline in the display pipeline component is associated with the same pipeline data table. The cooling parameters and first energy efficiency parameters of each unit in the unit connection system are determined based on the equipment data table configured by the user for each unit equipment, and the heat loss parameters of each display pipe section in the unit connection system are determined based on the pipe data table configured by the user for each display pipe assembly. The overall energy efficiency value of the unit connection system is determined based on the cooling parameters and first energy efficiency parameters of each unit equipment in the unit connection system, as well as the heat loss parameters of each display pipeline section in the unit connection system, and the overall energy efficiency value is displayed. The relationship between the unit connection system and the air conditioning unit system is mapped according to the unit connection system. Corresponding sensor components are installed in the unit equipment and pipeline sections of the air conditioning unit system. The sensor components are used to transmit the detected sensing information to the background server to update the corresponding equipment data table and pipeline data table in the unit connection system. The device sensing information detected by the sensor components in the unit equipment is matched with the pre-set status-color mapping relationship to determine the display color of the corresponding unit equipment, and the color of the unit equipment in the unit connection system is updated according to the display color of the corresponding unit equipment. The system matches the pipeline sensing information detected by the sensor components in the pipeline segment with the pre-set pipeline-color mapping relationship to determine the display color of the corresponding pipeline segment, and updates the color of the pipeline segment in the unit connection system according to the display color of the corresponding pipeline segment. The energy efficiency monitoring method further includes: Obtain relevant building information, including information about each room in the building; the room information includes location information, area information, number of people, and energy efficiency update information; The building information is associated with the corresponding unit connection system; the energy efficiency update information is determined through the following steps: Receive the air intake sensing parameters from the air intake sensing monitoring point set at the air intake duct of the air conditioning unit, and determine the outdoor heat state value of the corresponding building based on the air intake sensing parameters and the pre-constructed sensing-heat mapping table. It receives the air outlet sensing parameters detected by the air outlet sensing monitoring points set at each air outlet of the air conditioning unit, and determines the indoor heat status value of each room in the building based on the air outlet sensing parameters detected by the air outlet sensing monitoring points at each air outlet and the pre-built sensing-heat mapping table. Obtain the air supply distance information between each air outlet sensor monitoring point and the air inlet sensor monitoring point, and determine the heat loss parameters of each room based on the air supply distance information; The first cooling capacity and the second cooling capacity group of the corresponding air conditioning unit are calculated based on the air intake sensor parameters of the air intake sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point. The second cooling capacity group includes multiple second cooling capacity data. The first cooling capacity is used to characterize the overall cooling capacity data of the building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building. The operating power information of each device in the air conditioning unit is obtained. Based on the operating power information, the first and second cooling capacity groups of the air conditioning unit, and the heat loss parameters of each room, the overall cooling energy efficiency of the air conditioning unit and the cooling energy efficiency of the air conditioning unit for each room are determined. The cooling energy efficiency of each room is the energy efficiency update information.

2. The energy efficiency monitoring method for a refrigeration room as described in claim 1, characterized in that, The equipment data table includes a host data table, which includes power consumption, cooling capacity, cooling COP, chilled water inlet temperature, chilled water outlet temperature, cooling water inlet temperature, cooling water outlet temperature, cooling load rate, power load rate, operating power, chilled water flow rate, cooling water flow rate, cooling water heat dissipation, energy balance coefficient, and operating time.

3. The energy efficiency monitoring method for a refrigeration room as described in claim 1, characterized in that, The energy efficiency monitoring method further includes: Receive user data request information, the data request information including data request address information, data request range and device trustworthiness; The system uses dynamic authentication to verify the identity of the user and determine whether the user meets the access requirements of the energy efficiency monitoring system. If the user meets the requirements, the system proceeds to the next step. The corresponding set of access addresses is determined based on the data request range, and the data request address information is matched with the set of access addresses. If the match is successful, the corresponding user is allowed to view the corresponding energy efficiency business data; if the match is unsuccessful, proceed to the next step. Whether a user is allowed to view relevant energy efficiency data is determined based on the device's trustworthiness. The device's trustworthiness is determined through the following steps: At the smart terminal, a device security verification module performs trusted verification on the system boot program, system program, service configuration parameters, and communication application of the communication device to obtain the corresponding device trustworthiness. The device security verification module includes a system security module, a communication security module, and a service security module. The system security module is determined through the following steps: generating a first public key and a first private key, burning the first public key into the smart terminal hardware in the form of a trusted root, signing the operating system image using the first private key, and setting the operating system to use the first public key to verify the signature of the operating system image when the operating system starts up to obtain the system security module.

4. An energy efficiency monitoring system for a refrigeration room, characterized in that, include: The construction module is used to display the corresponding unit equipment in the unit construction area of ​​the air conditioning system designer based on the user-designed configuration to build the unit connection system. According to the unit connection system, the module selects the corresponding connection pipelines in the unit equipment area to connect the various unit equipment in the unit connection system so that the various unit equipment in the unit connection system are connected. Each unit equipment is associated with a device data table. Point selection module: When the system detects that the user is in the pipeline adjustment state, it associates the data of the various connecting pipelines selected by the user to generate a display pipeline component. The display pipeline component includes multiple connecting pipelines, and each connecting pipeline in the display pipeline component is associated with the same pipeline data table. Determine module: Used to determine the cooling parameters and first energy efficiency parameters of each unit in the unit connection system based on the equipment data table configured by the user for each unit equipment, and to determine the heat loss parameters of each display pipe section in the unit connection system based on the pipe data table configured by the user for each display pipe assembly; Calculation module: used to determine the comprehensive energy efficiency value of the unit connection system based on the refrigeration parameters and first energy efficiency parameters of each unit equipment in the unit connection system, as well as the heat loss parameters of each display pipeline section in the unit connection system, and to display the comprehensive energy efficiency value; The relationship between the unit connection system and the air conditioning unit system is mapped according to the unit connection system. Corresponding sensor components are installed in the unit equipment and pipeline sections of the air conditioning unit system. The sensor components are used to transmit the detected sensing information to the background server to update the corresponding equipment data table and pipeline data table in the unit connection system. The device sensing information detected by the sensor components in the unit equipment is matched with the pre-set status-color mapping relationship to determine the display color of the corresponding unit equipment, and the color of the unit equipment in the unit connection system is updated according to the display color of the corresponding unit equipment. The system matches the pipeline sensing information detected by the sensor components in the pipeline segment with the pre-set pipeline-color mapping relationship to determine the display color of the corresponding pipeline segment, and updates the color of the pipeline segment in the unit connection system according to the display color of the corresponding pipeline segment. The energy efficiency monitoring system also includes: Obtain relevant building information, including information about each room in the building; the room information includes location information, area information, number of people, and energy efficiency update information; The building information is associated with the corresponding unit connection system; the energy efficiency update information is determined through the following steps: Receive the air intake sensing parameters from the air intake sensing monitoring point set at the air intake duct of the air conditioning unit, and determine the outdoor heat state value of the corresponding building based on the air intake sensing parameters and the pre-constructed sensing-heat mapping table. It receives the air outlet sensing parameters detected by the air outlet sensing monitoring points set at each air outlet of the air conditioning unit, and determines the indoor heat status value of each room in the building based on the air outlet sensing parameters detected by the air outlet sensing monitoring points at each air outlet and the pre-built sensing-heat mapping table. Obtain the air supply distance information between each air outlet sensor monitoring point and the air inlet sensor monitoring point, and determine the heat loss parameters of each room based on the air supply distance information; The first cooling capacity and the second cooling capacity group of the corresponding air conditioning unit are calculated based on the air intake sensor parameters of the air intake sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point. The second cooling capacity group includes multiple second cooling capacity data. The first cooling capacity is used to characterize the overall cooling capacity data of the building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building. The operating power information of each device in the air conditioning unit is obtained. Based on the operating power information, the first and second cooling capacity groups of the air conditioning unit, and the heat loss parameters of each room, the overall cooling energy efficiency of the air conditioning unit and the cooling energy efficiency of the air conditioning unit for each room are determined. The cooling energy efficiency of each room is the energy efficiency update information.

5. An electronic device, characterized in that, include: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the energy efficiency monitoring method for the refrigeration room according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program causes a computer to perform the energy efficiency monitoring method for a refrigeration room as described in any one of claims 1 to 3.

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