Energy efficiency monitoring method and system for refrigerating machine room

Abstract

The embodiment of the invention relates to the technical field of air conditioner management, and discloses an energy efficiency monitoring method for a refrigerating machine room, which comprises the following steps of: displaying corresponding unit equipment in a unit construction area of an air conditioning system designer based on a configuration mode designed by a user so as to construct a unit connection system; according to each connecting pipeline clicked by the user, performing data association on each connecting pipeline clicked by the current user to generate a display pipeline assembly; according to an equipment data table configured by a user for each set equipment, determining a refrigeration parameter and a first energy efficiency parameter of each set equipment in the set connection system, and according to a pipeline data table configured by the user for each display pipeline assembly, determining a heat loss parameter of each display pipeline section in the set connection system, and determining a comprehensive energy efficiency value of the unit connection system, and displaying the comprehensive energy efficiency value. According to the scheme, efficient monitoring of the air conditioning unit can be achieved, and the overall management level is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy efficiency detection, and in particular to an energy efficiency monitoring method and system for a refrigeration room. Background Art

[0002] Although there are more and more ways to monitor building refrigeration, the existing refrigeration monitoring mainly monitors some direct parameter indicators, which is not very meaningful for real building or equipment managers; and looking at a certain indicator alone cannot directly reflect the problems existing in the current equipment operation. Therefore, designing a solution that can efficiently monitor indicators has become a technical problem that needs to be solved urgently by technical personnel in this field. Summary of the invention

[0003] In view of the above-mentioned defects, an embodiment of the present invention discloses an energy efficiency monitoring method for a refrigeration room, which can realize efficient energy efficiency monitoring of the refrigeration room and improve the overall system management efficiency.

[0004] A first aspect of an embodiment of the present invention discloses an energy efficiency monitoring method for a refrigeration room, comprising:

[0005] Based on the configuration mode designed by the user, corresponding unit equipment is displayed in the unit construction area of ​​the air conditioning system designer to construct a unit connection system, and corresponding connecting pipelines are selected in the unit equipment area according to the unit connection system to connect the various unit equipment in the unit connection system through pipelines so that the various unit equipment in the unit connection system are connected; wherein each unit equipment is associated with a device data table;

[0006] When it is detected that the user is in a pipeline adjustment state, data association is performed on each connection pipeline currently selected by the user according to each connection pipeline selected by the user to generate a display pipeline component, wherein the display pipeline component includes a plurality of connection pipelines, and each connection pipeline in the display pipeline component is associated with the same pipeline data table;

[0007] Determine the refrigeration parameters and the first energy efficiency parameters of each unit device in the unit connection system according to the device data table configured by the user for each unit device, and determine the heat loss parameters of each display pipeline section in the unit connection system according to the pipeline data table configured by the user for each display pipeline component;

[0008] The comprehensive energy efficiency value of the unit connection system is determined according to the refrigeration parameters and the first energy efficiency parameters of each unit equipment in the unit connection system, and the heat loss parameters of each display pipeline section in the unit connection system, and the comprehensive energy efficiency value is displayed.

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

[0010] According to the unit connection system, a relationship mapping is performed with the air conditioning unit system, and corresponding sensor components are provided in the unit equipment and pipeline sections of the air conditioning unit system, and the sensor components are used to transmit the detected sensor information to the background server to update the corresponding equipment data table and pipeline data table in the unit connection system;

[0011] According to the received device sensing information detected by the sensor component in the unit device, the preset state-color mapping relationship is matched to determine the display color of the corresponding unit device, and the color of the unit device in the unit connection system is updated according to the display color of the corresponding unit device;

[0012] The pipeline sensing information detected by the sensor assembly in the received pipeline section is matched with the preset pipeline-color mapping relationship to determine the display color of the corresponding pipeline section, and the color of the pipeline section in the unit connection system is updated according to the display color of the corresponding pipeline section.

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

[0014] Acquire corresponding building information, wherein the building information includes information of each room in the building; the room information includes location information, area information, number of people information and energy efficiency update information;

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

[0016] As an optional implementation manner, in the first aspect of the embodiment 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 air conditioning system of the building; the air conditioning system includes an air conditioning host, a circulation pump, a cooling pump and a cooling tower;

[0019] Determine the unit cooling capacity energy consumption of the air conditioning unit system, the unit cooling capacity energy consumption of the circulation pump, the unit cooling capacity energy consumption of the cooling pump and the unit cooling capacity energy consumption of the cooling tower according to the energy consumption of the air conditioning main unit, the energy consumption of the circulation pump, the energy consumption of the cooling pump and the energy consumption of the cooling tower, as well as the cooling capacity of the air conditioning unit system and the heat dissipation of the connecting pipes;

[0020] Determine the regional cooling load of the corresponding room area according to the room information of each room area;

[0021] Determine the regional energy consumption of each room area based on the unit cooling capacity energy consumption of the air conditioner main unit, the unit cooling capacity energy consumption of the circulation 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 regional cooling load of the room area;

[0022] According to the regional energy consumption of each room area, the local electrical energy utilization efficiency of each room area in the building is determined.

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

[0024] Receiving air inlet sensor parameters of an air inlet sensor monitoring point arranged at an air inlet duct of the air conditioning unit, and determining an outdoor heat state value of a corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table;

[0025] Receiving air outlet sensor parameters detected by air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determining indoor heat state values ​​of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and a pre-constructed sensor-heat mapping table;

[0026] Acquire air supply distance information between each air outlet sensor monitoring point and each air inlet sensor monitoring point, and determine 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 according to 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, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building;

[0028] Obtain the operating power information of each device in the air-conditioning unit, and determine the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room based on the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit, and the heat loss parameters of each room. The refrigeration energy efficiency of each room is the energy efficiency update information.

[0029] As an optional implementation, in the first aspect of the embodiment of the present invention, the device data table includes a host data table, and the host data table 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 manner, in the first aspect of the embodiment of the present invention, the energy efficiency monitoring method further includes:

[0031] Receiving data request information from a user, wherein the data request information includes data request address information, data request range, and device credibility;

[0032] Perform dynamic identity authentication on the corresponding user according to the dynamic authentication method to determine whether the corresponding user can meet the access requirements of the energy efficiency monitoring system. If the requirements are met, proceed to the next step;

[0033] Determine a corresponding access address set according to the data request range, and perform data matching between the data request address information and the access address set. If the match is successful, allow the corresponding user to view the corresponding energy efficiency service data; if the match is unsuccessful, execute the next step;

[0034] Determine whether to allow a corresponding user to view corresponding energy efficiency service data according to the device credibility, and the device credibility is determined by the following steps:

[0035] At the smart terminal, the system boot program, system program, business configuration parameters and communication application program of the communication device are trustedly verified based on the device security verification module to obtain the corresponding device credibility. The device security verification module includes a system security module, a communication security module and a business security module; the system security module is determined by the following steps: generating a first public key and a first private key, burning the first public key into the smart terminal hardware in a trusted root manner, using the first private key to sign the operating system image, and setting the first public key to verify the signature of the operating system image when the operating system is started to obtain the system security module.

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

[0037] A construction module: used to display corresponding unit equipment in the unit construction area of ​​the air conditioning system designer based on the configuration mode designed by the user to construct a unit connection system, and select corresponding connecting pipes in the unit equipment area according to the unit connection system to connect each unit equipment in the unit connection system with pipes so that each unit equipment in the unit connection system is connected; wherein each unit equipment is associated with a device data table;

[0038] A selection module: when it is detected that the user is in a pipeline adjustment state, data association is performed on each connection pipeline currently selected by the user according to each connection pipeline selected by the user to generate a display pipeline component, wherein the display pipeline component includes a plurality of connection pipelines, and each connection pipeline in the display pipeline component is associated with the same pipeline data table;

[0039] Determination module: used to determine the refrigeration parameters and the first energy efficiency parameters of each unit device in the unit connection system according to the device data table configured by the user for each unit device, and to determine the heat loss parameters of each display pipeline section in the unit connection system according to the pipeline data table configured by the user for each display pipeline component;

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

[0041] A third aspect of an embodiment of the present invention discloses an electronic device, comprising: a memory storing 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 a refrigeration room disclosed in the first aspect of the embodiment of the present invention.

[0042] A fourth aspect of an embodiment of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the energy efficiency monitoring method for a refrigeration room disclosed in the first aspect of an embodiment 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 of the refrigeration room in the embodiment of the present invention uses a configuration mode designed by the user, and the user can intuitively build a unit connection system in the air conditioning system designer. This mode not only improves the flexibility of the design, but also enables the user to configure the system according to their own needs and preferences, thereby enhancing the user experience. According to the device data table and pipeline data table configured by the user for each unit device, the refrigeration parameters, energy efficiency parameters and pipeline parameters of each unit device in the unit connection system can be accurately determined, which is convenient for parameter configuration management. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 It is a flow chart of the energy efficiency monitoring method of a refrigeration room disclosed in an embodiment of the present invention;

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

[0048] Figure 3 It is a schematic diagram of the safety verification process disclosed in the embodiment of the present invention;

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

[0050] Figure 5 is a schematic diagram of a management and control page of an energy efficiency monitoring system disclosed in an embodiment of the present invention;

[0051] Figure 6 It 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 is another statistical page schematic diagram of the energy efficiency monitoring system disclosed in the embodiment of the present invention;

[0053] Figure 8 It is a flow chart of a refrigeration energy efficiency evaluation management method disclosed in an embodiment of the present invention;

[0054] Fig. 9 It is a structural schematic diagram of an energy efficiency monitoring system for a refrigeration room provided by an embodiment of the present invention;

[0055] Fig.10 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] Although there are more and more diverse means of monitoring refrigeration in buildings, the existing refrigeration monitoring mainly monitors some direct parameter indicators, which are not very meaningful for managers of real buildings or equipment; and looking at a certain indicator alone cannot directly reflect the problems existing in the current equipment operation. Based on this, the embodiment of the present invention discloses an energy efficiency monitoring method, system, electronic device and storage medium for a refrigeration room. Through the configuration configuration method designed by the user, the user can intuitively build a unit connection system in the air conditioning system designer. This method not only improves the flexibility of the design, but also enables users to configure the system according to their own needs and preferences, enhancing the user experience. According to the device data table and pipeline data table configured by the user for each unit device, the refrigeration parameters, energy efficiency parameters and pipeline parameters of each unit device in the unit connection system can be accurately determined, which is convenient for parameter configuration management.

[0058] Embodiment 1

[0059] See also Figure 1 , Figure 1 It is a flow chart of the energy efficiency monitoring method for a refrigeration room disclosed in an embodiment of the present invention. Among them, the execution subject of the method described in the embodiment of the present invention is an execution subject composed of software and / or hardware, and the execution subject can receive relevant information by wired or / and wireless means, and can send certain instructions. Of course, it can also have certain processing functions and storage functions. The execution subject can control multiple devices, such as a remote physical server or cloud server and related software, or it can be a local host or server and related software that performs related operations on a device placed somewhere. In some scenarios, multiple storage devices can also be controlled, and the storage devices can be placed in the same place or different places as the devices. For example Figure 1 As shown, the energy efficiency monitoring method based on the refrigeration room includes the following steps:

[0060] S101: Based on the configuration mode designed by the user, corresponding unit equipment is displayed in the unit construction area of ​​the air conditioning system designer to construct a unit connection system, and corresponding connecting pipes are selected in the unit equipment area according to the unit connection system to connect each unit equipment in the unit connection system with pipes so that each unit equipment in the unit connection system is connected; wherein 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 a pipeline adjustment state, data association is performed on each connection pipeline currently selected by the user according to each connection pipeline selected by the user to generate a display pipeline component, wherein the display pipeline component includes a plurality of connection pipelines, and each connection pipeline in the display pipeline component is associated with the same pipeline data table;

[0062] S103: determining the refrigeration parameters and the first energy efficiency parameters of each unit device in the unit connection system according to the device data table configured by the user for each unit device, and determining the heat loss parameters of each display pipeline section in the unit connection system according to the pipeline data table configured by the user for each display pipeline component;

[0063] S104: Determine a comprehensive energy efficiency value of the unit connection system according to the refrigeration parameters and the first energy efficiency parameters of each unit device in the unit connection system and the heat loss parameters of each display pipeline section in the unit connection system, and display the comprehensive energy efficiency value.

[0064] In the embodiment of the present invention, through the configuration method designed by the user, the user can intuitively build the unit connection system in the air conditioning system designer. This method not only improves the flexibility of the design, but also enables the user to configure the system according to their own needs and preferences, thereby enhancing the user experience. Allowing the user to select the corresponding connecting pipelines in the unit equipment area to connect each unit equipment ensures the connectivity of the unit connection system, while also simplifying the complexity of the pipeline connection. Each unit equipment is associated with a device data table, which helps to uniformly manage and track the various parameters of the unit equipment. When the user is in the pipeline adjustment state, the pipeline components can be easily generated by clicking the connecting pipelines, and all the connecting pipelines in these pipeline components are associated with the same pipeline data table, which further simplifies the data management and analysis process.

[0065] The display effect after the specific construction is completed is as follows Figure 4 and Figure 5 As shown, it can display the connection relationship between various devices in the air-conditioning unit; through the above display method, on the one hand, corresponding suggestions can be given during the early stage of construction, and real-time data detection can be performed by setting the data source to the data of the actual device. In the embodiment of the present invention, by connecting the data source with the actual air-conditioning unit operation, the user can more conveniently understand the real-time unit operation status, and can combine multiple parameters to perform operation warning work, and realize operation alarm through the cloud platform. The solution of the embodiment of the present invention can realize the whole process management from front-end construction, real-time data update, real-time display of the model and later data access.

[0066] More preferably, Figure 2As shown, after displaying the comprehensive energy efficiency value, it also includes:

[0067] S105: mapping the relationship with the air conditioning unit system according to the unit connection system, and providing corresponding sensor components in the unit equipment and pipeline sections of the air conditioning unit system, wherein the sensor components are used to transmit the detected sensor information to the background server to update the corresponding equipment data table and pipeline data table in the unit connection system;

[0068] S106: matching the received device sensing information detected by the sensor assembly in the unit device with the preset state-color mapping relationship to determine the display color of the corresponding unit device, and updating the color of the unit device in the unit connection system according to the display color of the corresponding unit device;

[0069] S107: Matching the received pipeline sensing information detected by the sensor assembly in the pipeline segment with the preset pipeline-color mapping relationship to determine the display color of the corresponding pipeline segment, and updating the color of the pipeline segment in the unit connection system according to the display color of the corresponding pipeline segment.

[0070] The embodiment of the present invention can detect the status information of the unit equipment and pipelines in real time by setting sensor components on the unit equipment and pipeline sections of the air-conditioning unit system, and transmit this information to the background server. The background server updates the corresponding equipment data table and pipeline data table in the unit connection system according to the received sensor information, ensuring the real-time and accuracy of energy efficiency monitoring. This real-time data update mechanism makes energy efficiency monitoring no longer a static, one-time process, but can be dynamically adjusted as the unit equipment and pipeline status changes, thereby more truly reflecting the energy efficiency status of the system.

[0071] The embodiment of the present invention can determine the display color of the corresponding unit equipment by matching the received equipment sensor information detected by the unit equipment sensor assembly with the pre-set state-color mapping relationship. This color coding method allows the user to intuitively see the operating status of the unit equipment, such as normal, warning or fault. Similarly, the color coding method is also used for the pipeline section, and the display color of the pipeline section is determined according to the received pipeline sensor information. This method not only improves the intuitiveness of monitoring, but also can issue an early warning in time when an abnormality occurs in the unit equipment or pipeline section, reminding the user to take corresponding measures.

[0072] By updating the status information of the unit equipment and pipelines in real time, combined with color-coded visual monitoring, users can quickly locate the unit equipment or pipeline sections with low energy efficiency, as well as the faulty components. This efficient positioning method enables users to take corresponding measures for energy efficiency optimization or fault handling more quickly, thereby improving the operating efficiency and stability of the entire system.

[0073] During the specific implementation, different equipment status and equipment colors should be displayed according to the different parameter values ​​provided. Configuration-related equipment will add new parameters compared to the provided point table. Configure the color of the equipment and display text according to the following parameters. The following examples can be freely changed according to customer needs. The calculated parameters "Pump Status Color" / "Cooling Tower Status Color" are added to the equipment under "Pump Status" and "Cooling Tower Status". The calculated parameters are used for application, and different numbers are displayed according to the different values ​​of multiple status parameters in this equipment to represent different states. The values ​​of the calculated parameters "Pump Status Color" / "Cooling Tower Status Color" correspond to the color levels in the provided table. For example, if the color level is 1, the pump status color value is 1, which means a fault, and the equipment displays red. Different colors are used to represent different operating states, so that users can directly determine the status of each device by looking at the diagram, so that the corresponding operation end can efficiently and timely understand the situation of different equipment without having to check the equipment one by one, greatly improving the efficiency of operation management. And when the specific implementation is carried out, the data can be transmitted back in real time, so that the operation end can accumulate valuable operation data.

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

[0075] Acquire corresponding building information, wherein the building information includes information of each room in the building; the room information includes location information, area information, number of people information and energy efficiency update information;

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

[0077] The embodiment of the present invention can achieve refined management of building energy efficiency by acquiring information of each room in the building, including location, area, number of people, and energy efficiency update information, etc. Such information provides a more detailed and accurate data basis for energy efficiency monitoring and optimization.

[0078] In the embodiment of the present invention, the building information is data-associated with the unit connection system, so that energy efficiency monitoring is not limited to the unit equipment and pipelines themselves, but can be extended to the energy efficiency management of the entire building. This data association helps to comprehensively analyze and optimize the energy efficiency of the building from a global perspective. Based on the specific information of each room in the building, a more personalized energy efficiency optimization strategy can be formulated. For example, for rooms with a large area and a large population, a larger capacity unit equipment may be required to meet the cooling needs; for rooms with fewer people and a smaller area, energy consumption can be reduced by adjusting the operating parameters of the unit equipment.

[0079] By comprehensively considering the building information and the data of the unit connection system, it is possible to more accurately identify areas and links with low energy efficiency, so as to take more targeted optimization measures. This refined energy efficiency management method helps to improve the effect of energy efficiency optimization and reduce unnecessary energy consumption. The data association between building information and unit connection system can also provide support for intelligent decision-making. Through data analysis, the energy efficiency needs of buildings in the future can be predicted, and the operation strategy of unit equipment can be adjusted in advance to achieve more efficient and energy-saving operation management.

[0080] More preferably, after obtaining the corresponding 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 air conditioning system of the building; the air conditioning system includes an air conditioning host, a circulation pump, a cooling pump and a cooling tower;

[0083] Determine the unit cooling capacity energy consumption of the air conditioning unit system, the unit cooling capacity energy consumption of the circulation pump, the unit cooling capacity energy consumption of the cooling pump and the unit cooling capacity energy consumption of the cooling tower according to the energy consumption of the air conditioning main unit, the energy consumption of the circulation pump, the energy consumption of the cooling pump and the energy consumption of the cooling tower, as well as the cooling capacity of the air conditioning unit system and the heat dissipation of the connecting pipes;

[0084] Determine the regional cooling load of the corresponding room area according to the room information of each room area;

[0085] Determine the regional energy consumption of each room area based on the unit cooling capacity energy consumption of the air conditioner main unit, the unit cooling capacity energy consumption of the circulation 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 regional cooling load of the room area;

[0086] According to the regional energy consumption of each room area, the local electrical energy utilization efficiency of each room area in the building is determined.

[0087] The embodiment of the present invention can more accurately evaluate the energy consumption of the entire system by obtaining the refrigeration demand information in each room area in the building and combining it with the refrigeration capacity of the air-conditioning unit system. This method of accurate energy consumption evaluation helps to identify areas and equipment with high energy consumption and provide 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 to analyze the energy efficiency performance of each device. By comparing the unit cooling capacity energy consumption of different devices, it is possible to find out the equipment with low energy efficiency and take corresponding optimization measures.

[0088] The regional cooling load of the corresponding room area is determined according to the room information of each room area, and the regional cooling load is combined with the unit cooling capacity energy consumption of each device to more accurately determine the energy consumption of each room area. This correlation analysis helps to achieve refined management of energy consumption and improve the targeted optimization of energy efficiency. By calculating the local power utilization efficiency of each room area in the building, the energy efficiency level of each area can be intuitively reflected. For areas with low energy efficiency, targeted optimization measures can be taken, such as adjusting equipment parameters, optimizing operation strategies, etc., to improve the local power utilization efficiency.

[0089] When implementing it, you can also count data for different time periods, such as flat time periods, valley time periods, peak time periods, and sharp time periods; and judge the operating status of each device in different time periods; and provide a refined operating strategy through the above methods. Divide the 24 hours of a day into flat time periods, valley time periods, peak time periods, and sharp time periods. This division is based on the changing law of power demand. Usually, the valley time period corresponds to the low point of power demand (such as late night to early morning), the peak and sharp time periods correspond to the peak of power demand (such as working hours and the time when power consumption is most concentrated), and the flat time period is between the two. Use sensors, Internet of Things (IoT) technology and other means to monitor the operating status of the equipment in real time. Record key data such as the operating time, downtime, maintenance time, etc. of the equipment in different time periods.

[0090] Use big data analysis technology to conduct in-depth analysis of the collected time period data. Identify the operating efficiency and failure frequency of equipment in different time periods. Determine whether the equipment is in the best operating state in different time periods. According to the data analysis results, formulate targeted operation strategies. For example, arrange equipment maintenance or low-energy production activities during the low power demand period (valley period); optimize the production process during the peak power demand period (peak or peak period) to improve equipment utilization.

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

[0092] Receiving air inlet sensor parameters of an air inlet sensor monitoring point arranged at an air inlet duct of the air conditioning unit, and determining an outdoor heat state value of a corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table;

[0093] Receiving air outlet sensor parameters detected by air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determining indoor heat state values ​​of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and a pre-constructed sensor-heat mapping table;

[0094] Acquire air supply distance information between each air outlet sensor monitoring point and each air inlet sensor monitoring point, and determine 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 according to 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, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building;

[0096] Obtain the operating power information of each device in the air-conditioning unit, and determine the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of each room of the air-conditioning unit according to 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. The cooling energy efficiency of each room is the energy efficiency update information. The above method can achieve timely update of energy efficiency. When performing specific implementation, the statistical parameters can be comprehensively displayed, such as Figure 5 , Figure 6 and Figure 7 shown.

[0097] More preferably, the device data table includes a host data table, and the host data table includes power consumption, cooling capacity, cooling COP, chilled water inlet temperature, chilled water outlet temperature, cooling water inlet temperature, cooling water outlet temperature, refrigeration 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 the embodiment of the present invention includes key indicators such as power consumption, cooling capacity, and cooling COP (coefficient of performance), which can fully 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 evaluated. The temperature parameters such as the chilled water inlet temperature, the chilled water outlet temperature, the cooling water inlet temperature, and the cooling water outlet temperature in the host data table, as well as the flow parameters such as the chilled water flow rate and the cooling water flow rate, provide a basis for the precise control of temperature and flow rate. By optimizing these parameters, the energy efficiency level of the host can be further improved.

[0099] The cooling load rate and power load rate reflect the matching degree between the actual operating load of the host and the rated power. By monitoring these parameters, the host operating parameters can be discovered and adjusted in time to ensure that the host operates under the best working conditions and avoid energy waste.

[0100] Parameters such as energy balance coefficient and cooling water heat dissipation are helpful to evaluate the energy conversion efficiency and heat dissipation performance of the host. By optimizing these parameters, the energy efficiency level of the host can be further improved and unnecessary energy consumption can be reduced.

[0101] The running time parameter records the actual running time of the host, which is of great significance for evaluating the host's usage efficiency and formulating energy efficiency optimization strategies. By reasonably arranging the host's running time, the energy efficiency level can be further improved and the service life of the host can be extended.

[0102] The detailed parameters provided by the host data sheet make it possible to deeply analyze the energy efficiency performance of the host. Through data analysis, it is possible to identify the links with low energy efficiency and take corresponding optimization measures. At the same time, these data can also provide support for the formulation of more scientific energy efficiency optimization strategies.

[0103] In addition to the main unit data table, other circulating pump data tables, cooling pump data tables and water tower data tables are equipped with corresponding indicators for comprehensive display, which makes it easier for users to understand the operation status of the unit.

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

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

[0106] S100b: Perform dynamic identity authentication on the corresponding user according to the dynamic authentication method to determine whether the corresponding user can meet the access requirements of the energy efficiency monitoring system. If the requirements are met, the next step is executed; the system authenticates the user who initiated the request according to the preset dynamic authentication method (such as SMS verification code, biometrics, dynamic password, etc.). After the authentication is passed, it is confirmed that the user meets the access requirements of the energy efficiency monitoring system and is allowed to continue to execute the subsequent steps.

[0107] S100c: determining a corresponding access address set according to the data request range, and performing data matching between the data request address information and the access address set; if the matching is successful, allowing the corresponding user to view the corresponding energy efficiency service data; if the matching is unsuccessful, executing the next step;

[0108] The system determines the corresponding access address set based on the user's data request range. The data request address information provided by the user is matched with the access address set. If the match is successful, the user is allowed to view the corresponding energy efficiency business data; if the match is unsuccessful, the next step of device credibility verification is performed.

[0109] S100d: Determine whether to allow the corresponding user to view the corresponding energy efficiency service data according to the device credibility, wherein the device credibility is determined by the following steps:

[0110] At the smart terminal, the system boot program, system program, business configuration parameters and communication application program of the communication device are trustedly verified based on the device security verification module to obtain the corresponding device credibility. The device security verification module includes a system security module, a communication security module and a business security module; the system security module is determined by the following steps: generating a first public key and a first private key, burning the first public key into the smart terminal hardware in a trusted root manner, using the first private key to sign the operating system image, and setting the first public key to verify the signature of the operating system image when the operating system is started to obtain the system security module.

[0111] At the smart terminal, multiple aspects of the communication device (such as the system boot program, system program, business configuration parameters, and communication application programs) are verified for trustworthiness through the device security verification module. The device security verification module includes a system security module, a communication security module, and a business security module, which work together to evaluate the credibility of the device. The specific implementation method of the system security module includes generating a first public key and a first private key, burning the first public key as a trusted root into the smart terminal hardware, using the first private key to sign the operating system image, and using the first public key to verify the signature when the operating system starts. This process ensures the integrity and security of the operating system. Based on the results of the device credibility verification, the system decides whether to allow the user to view the corresponding energy efficiency business data.

[0112] When implementing it, you can also set up various data access strategies. For example, different IP addresses are defined as different locations. The same IP address allows the same account to log in multiple times, which is convenient for opening multiple pages and viewing them at the same time. An account cannot log in to different IP addresses at the same time. If you log in to different IP addresses, the subsequent login will squeeze out the previous login. Since the three systems all use the same account name, if you log in to different IP addresses, no matter what system you log in to, all systems logged in by the previous IP will be squeezed out. The above method greatly improves the overall security. In addition, the monitoring system can set up multiple users. The multiple users here can be operating users, equipment manufacturers, and third-party users who need energy data.

[0113] The energy efficiency monitoring method of the refrigeration room in the embodiment of the present invention uses a configuration mode designed by the user, and the user can intuitively build a unit connection system in the air conditioning system designer. This mode not only improves the flexibility of the design, but also enables the user to configure the system according to their own needs and preferences, thereby enhancing the user experience. According to the device data table and pipeline data table configured by the user for each unit device, the refrigeration parameters, energy efficiency parameters and pipeline parameters of each unit device in the unit connection system can be accurately determined, which is convenient for parameter configuration management.

[0114] Embodiment 2

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

[0116] S201: receiving air inlet sensor parameters of an air inlet sensor monitoring point arranged at an air inlet duct of an air conditioning unit, and determining an outdoor heat state value of a corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table;

[0117] S202: receiving air outlet sensor parameters detected by air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determining indoor heat state values ​​of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and a pre-built sensor-heat mapping table;

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

[0119] S204: Calculating a first cooling capacity and a second cooling capacity group of the corresponding air-conditioning unit according to 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, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building;

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

[0121] The solution of the embodiment of the present invention can obtain the sensing parameters of the air inlet and outlet in real time and accurately by setting sensor monitoring points in the air inlet duct and each air outlet of the air conditioning unit. These parameters, combined with the pre-built sensor-heat mapping table, can accurately determine the thermal state outside the building and the indoor thermal state of each room in the building. This precise monitoring provides a reliable data basis for subsequent refrigeration energy efficiency evaluation.

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

[0123] By obtaining the air supply distance information to determine the heat loss parameters of each room, this step takes into account the energy loss during the air supply process, making the energy efficiency evaluation more comprehensive and accurate. This helps to identify and optimize energy efficiency issues caused by long air supply distances or improper duct design.

[0124] The embodiment of the present invention determines the heat loss parameters of each room by obtaining the air supply distance information. This step takes into account the energy loss during the air supply process, making the energy efficiency evaluation more comprehensive and accurate. This helps to identify and optimize the energy efficiency reduction problems caused by long air supply distance or improper pipeline design. It can even assist in evaluating the pipeline status during specific implementation and perform maintenance on abnormal pipeline sections.

[0125] The overall data table is updated based on the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of each room, which means that this management method is a dynamic and continuous optimization process. By continuously collecting and analyzing data, energy efficiency problems can be discovered in a timely manner and corresponding measures can be taken to improve them, thereby achieving long-term energy efficiency improvements.

[0126] Overall, this method helps improve the energy efficiency of air-conditioning units through precise monitoring, personalized evaluation, consideration of heat loss factors and dynamic updates. This can not only reduce the energy consumption cost of buildings, but also help reduce carbon emissions and achieve sustainable development.

[0127] More preferably, the air inlet sensor parameters include outdoor dry-bulb temperature, outdoor wet-bulb temperature, air inlet speed information and a first measurement period; the air outlet sensor parameters include indoor dry-bulb temperature, indoor wet-bulb temperature, air outlet speed information and a second measurement period;

[0128] The determining of the outdoor heat state value of the corresponding building according to the air inlet sensor parameter and a pre-built sensor-heat mapping table includes:

[0129] S2011: determining corresponding outdoor humidity information according to the outdoor dry-bulb temperature and the outdoor wet-bulb temperature;

[0130] S2012: performing data matching with a pre-built sensor-heat mapping table according to the outdoor dry-bulb temperature, outdoor wet-bulb temperature and outdoor humidity information to determine an outdoor heat state value of a corresponding building;

[0131] The method of determining the indoor heat state value of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and the pre-built sensor-heat mapping table includes:

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

[0133] S2021: performing data matching with a pre-built sensor-heat mapping table according to the indoor dry-bulb temperature, indoor wet-bulb temperature, and indoor humidity information to determine indoor heat status values ​​of each room in the building;

[0134] The method of calculating the first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit according to 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 includes:

[0135] Determine the air volume parameter of the corresponding air inlet sensor monitoring point according to the air inlet speed information of the air inlet sensor monitoring point and the first measurement period;

[0136] Determine the air volume parameter of the corresponding air outlet sensor monitoring point according to the air outlet speed information detected by each air outlet sensor monitoring point and the second measurement period;

[0137] The first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit are determined according to the outdoor heat state value of the building, the indoor heat state value of each room in the building, and a preset cooling calculation formula; the cooling calculation formula includes:

[0138]

[0139] Q i =L i ×(HT o -HT i )

[0140] Among them, Q t It represents the first cooling capacity, which is the total cooling capacity of the entire building; Q i represents the second cooling capacity, that is, the cooling capacity of the i-th room; L represents the air volume parameter, L i represents the air volume parameter of the ith room, HT o Indicates the outdoor heat status value, HT i represents the indoor thermal state of the i-th room, and n is the total number of rooms.

[0141] The solution of the embodiment of the present invention makes the monitoring data more comprehensive and accurate by refining the inlet and outlet air sensing parameters (such as including dry bulb temperature, wet bulb temperature, speed information and measurement period). This helps to more accurately reflect the outdoor and indoor heat status and improve the accuracy of energy efficiency evaluation.

[0142] By calculating humidity information based on dry-bulb temperature and wet-bulb temperature, this method takes into account the effect of humidity on the cooling effect. Humidity is an important factor affecting human comfort and cooling efficiency, so the introduction of humidity information can more comprehensively evaluate the cooling energy efficiency. The calculation of cooling capacity not only considers the air volume parameters of the inlet and outlet air, but also combines the outdoor heat state value and the indoor heat state value. Through the pre-set cooling calculation formula, the first cooling capacity (the total cooling capacity of the entire building) and the second cooling capacity (the cooling capacity of each room) of the air-conditioning unit can be accurately calculated. This precise calculation helps to more accurately evaluate the energy efficiency of the air-conditioning unit. This method not only evaluates the overall cooling energy efficiency of the air-conditioning unit, but also performs personalized energy efficiency evaluation for each room. This comprehensive evaluation method helps to identify energy efficiency bottlenecks and take targeted optimization measures. Through precise energy efficiency evaluation and personalized optimization measures, this method helps to optimize the operation of the air-conditioning unit and improve energy efficiency. This not only helps to reduce the energy consumption cost of the building, but also helps to reduce carbon emissions and achieve sustainable development.

[0143] More preferably, the first measurement period is different from the second measurement period, and the second measurement period is determined according to the first measurement period and the air supply distance information;

[0144] The determining of 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 according to the outdoor dry-bulb temperature, the indoor dry-bulb temperature and the air supply distance, the outdoor dry-bulb temperature, the indoor dry-bulb temperature and the air supply distance are matched with a preset heat loss table to determine the corresponding loss comparison parameters, and the heat loss parameters of each room are matched with the corresponding loss comparison parameters. If the requirements are met, the operation of the equipment in the air-conditioning unit will not be adjusted. If the requirements are not met, the operation parameters of the equipment in the air-conditioning unit will be adjusted.

[0146] The scheme of the embodiment of the present invention takes into account the possible delays and changes in the air supply process by setting the first measurement period and the second measurement period differently. By adjusting the second measurement period according to the air supply distance information, it is possible to ensure that accurate air outlet sensor parameters are obtained at an appropriate time point, thereby improving the accuracy of energy efficiency evaluation. The heat loss parameters of each room are determined according to the outdoor dry bulb temperature, the indoor dry bulb temperature and the air supply distance. This step takes into account the influence of multiple factors on heat loss. By matching the pre-set heat loss table, the heat loss situation of each room can be dynamically determined, providing a basis for subsequent energy efficiency evaluation and equipment adjustment. The method proposes to determine whether to adjust the operation of the equipment in the air-conditioning unit according to the matching results of the heat loss parameter and the loss comparison parameter. This intelligent equipment adjustment method can automatically optimize the operating parameters of the air-conditioning unit according to the actual situation, thereby improving energy efficiency and reducing energy consumption. By regularly monitoring and evaluating the heat loss parameters and adjusting the equipment as needed, the method realizes the continuity and dynamism of energy efficiency optimization. This helps to ensure that the air-conditioning unit can maintain the best energy efficiency under different conditions. Taking into account the time difference, air supply distance and heat loss parameters, this method can more accurately evaluate the energy efficiency of air conditioning units and take targeted optimization measures. This not only helps to improve energy utilization efficiency, but also reduces energy consumption costs, achieving a win-win situation in economic and environmental benefits.

[0147] More preferably, the obtaining of operating power information of each device in the air-conditioning unit, and determining the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room according to the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit, and the heat loss parameter of each room, includes:

[0148] S2041: Calculate the refrigeration power value of the air-conditioning unit according to a pre-constructed refrigeration power calculation formula and the acquired first cooling capacity, evaporation temperature information, condensation temperature information, and refrigeration efficiency information of the air-conditioning unit; the refrigeration power calculation formula is: Among them, P1 represents the operating power of the chiller; Q t is the first cooling capacity, T0 represents the evaporation temperature information, T k represents the condensation temperature information, and η represents the refrigeration efficiency information;

[0149] S2042: Obtaining the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower, and determining the total operating power of the air conditioning unit according to 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: Determine the overall cooling energy efficiency of the air-conditioning unit according to the first cooling capacity of the air-conditioning unit, the total operating power of the air-conditioning unit, and a first energy efficiency calculation formula; the first energy efficiency calculation formula is:

[0151] Among them, 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 represents the total heat loss;

[0152] S2044: Determine the cooling energy efficiency of the air conditioning unit for each room according to the second cooling capacity group of the air conditioning unit, the total operating power of the air conditioning unit, and a second energy efficiency calculation formula; the second energy efficiency calculation formula is: Among them, EER i represents the cooling energy efficiency of the i-th room, w i Represents the energy consumption weight of the i-th room in the overall building.

[0153] The scheme of the embodiment of the present invention comprehensively considers factors such as the cooling capacity, energy consumption, and heat loss of the air-conditioning unit, and the method can accurately evaluate the overall energy efficiency of the air-conditioning unit and the cooling energy efficiency of each room. This helps to discover energy efficiency problems and take targeted measures to optimize them. By calculating the cooling energy efficiency and energy consumption weights of each room, the method can identify rooms with low energy efficiency and focus on optimizing them. This helps to reduce energy consumption costs and improve energy utilization efficiency. The method combines technical means such as sensor monitoring, data analysis, and energy efficiency calculation to achieve intelligent management of the energy efficiency of the air-conditioning unit. By real-time monitoring and evaluation of energy efficiency data, energy efficiency problems can be discovered and adjusted in a timely manner to ensure that the air-conditioning unit is always in the best working state. By improving the energy efficiency level of the air-conditioning unit, the method helps to reduce carbon emissions and energy consumption and promote sustainable development. This is of great significance for achieving energy conservation and emission reduction goals and promoting the development of green buildings.

[0154] In the embodiment of the present invention, i Dynamic adjustment is performed based on the actual parameters of each area. It can be dynamically determined based on the area, number of people, door opening status, and window opening status, so that it can be more in line with the actual situation. By dynamically adjusting w i This makes the final calculation more accurate.

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

[0156] S200a: Determine the operating time period information of the air-conditioning unit according to the current time point, and match the clustering results based on the operating time period information to determine the category label corresponding to the corresponding operating time period information; in this step, the system first determines the operating time period information of the air-conditioning unit according to the current time point. This usually involves matching the current time with a preset time period (such as morning, noon, evening, night, etc.) to determine the current operating time period. Then, the system matches the clustering results obtained by cluster analysis based on the operating time period information. Cluster analysis may be based on historical data (such as outdoor temperature, humidity, load demand, etc. in different time periods) to identify typical operating modes or category labels of air-conditioning units in different time periods. Through matching, the system can determine the category label corresponding to the current operating time period, which helps to construct the input feature parameters of the subsequent working condition identification model.

[0157] More preferably, the operating time period information here refers to the power-on time period, stable operating time period, commercial area operating time period and shutdown operating time period; there are different operating categories in different time periods, for example, there are 3 clusters in the power-on time period, the first type of power-on time period is different from 7:00 to 8:30, the second type of power-on time is concentrated at 7:00, and the third type of power-on time is concentrated at 7:30; in different states, the load of the corresponding air-conditioning unit is different; there are 2 clusters in the stable operating time period, and there are also 2 clusters in the commercial area operating time period. The 2 categories of stable operating time period and commercial area operating time period refer to different operating loads respectively; there is also 1 cluster in the shutdown time period. By dividing different time periods into specific categories, subsequent identification can be made more accurate.

[0158] S200b: The outdoor temperature information, outdoor humidity information and category labels are obtained to construct input feature parameters; after determining the category label of the current operating period, the system further obtains outdoor temperature information and outdoor humidity information. This information is usually obtained in real time through sensors installed outdoors. The system combines this information with the category label to construct 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: Input the input characteristic parameters into a pre-built working condition identification model for identification to determine the operating status data of the air-conditioning unit; and perform corresponding control operations based on the operating status data of the air-conditioning unit. The system inputs the constructed input characteristic parameters into the pre-built working condition identification model. The model may be trained based on a machine learning algorithm (such as a neural network, a support vector machine, a decision tree, etc.) to identify the operating status data of the air-conditioning unit under different working conditions. The working condition identification model outputs the operating status data of the air-conditioning unit, such as cooling capacity, air supply volume, energy consumption, etc. These data reflect the performance of the air-conditioning unit under the current working 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 working conditions, the system can automatically adjust the operating parameters of the air-conditioning unit (such as reducing the air supply volume, increasing the evaporation temperature, etc.) to reduce energy consumption and improve energy efficiency. When setting specific strategies, different strategy configurations can be used in different time periods, and specific adjustments can be made based on parameters such as time, number of units, set temperature, and set frequency.

[0160] The solution of the embodiment of the present invention combines the operating time period information, outdoor temperature information and outdoor humidity information, as well as a pre-built operating condition identification model, and the method can realize accurate identification of the operating condition of the air-conditioning unit. This helps the system to more accurately understand the performance of the air-conditioning unit and take targeted control operations. Based on the operating condition identification results, the system can automatically adjust the operating parameters of the air-conditioning unit to achieve energy consumption reduction and energy efficiency improvement. This intelligent control optimization helps to reduce unnecessary energy consumption and improve energy utilization efficiency. The method improves the energy efficiency management level of the air-conditioning unit by introducing operating condition identification and control optimization technology. This helps building managers better understand the operating status of the air-conditioning unit, discover problems in a timely manner and take corresponding measures to optimize it.

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

[0162] S200c1: Obtain sample data of air conditioner working conditions, and use the sample data as the initial node, the sample data including operation records of the air conditioner under different working conditions, the sample data including outdoor temperature, indoor set temperature, humidity, wind speed and power consumption;

[0163] S200c2: traverse all feature parameters and corresponding splitting points in the sample data, calculate the information gain parameter of each splitting point, and select the splitting point with the largest information gain parameter as the best splitting node 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 above child nodes as the starting points of subsequent splitting, and continuously repeat the above splitting steps until the set stopping condition is met, wherein the set stopping condition includes that all nodes belong to the same category or the information gain parameters of all nodes are less than a set threshold.

[0165] This method can efficiently process a large amount of sample data of air-conditioning working conditions, including multiple characteristic parameters such as outdoor temperature, indoor set temperature, humidity, wind speed and power consumption. By traversing all characteristic parameters and corresponding splitting points, calculating information gain parameters, and selecting the optimal splitting point for node splitting, this method can gradually build a complex working condition recognition model. By continuously splitting nodes and optimizing the working condition recognition model, this method can build a working condition recognition model with high precision and high generalization ability. The model can accurately identify the operating status of the air conditioner under different working conditions and provide reliable data support for subsequent energy efficiency evaluation and management. This method allows the splitting conditions and stop conditions to be flexibly adjusted during the model construction process to meet the needs of different scenarios. For example, the depth of the decision tree can be controlled by setting different information gain thresholds to balance the complexity and recognition accuracy of the model.

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

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

[0168] S206: Determine whether the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room meet preset equipment operation conditions;

[0169] S207: when it is determined that the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room do not meet the preset equipment operation condition, determining a first energy efficiency parameter of the air-conditioning unit according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room, and determining a second energy efficiency parameter according to the equipment operation condition;

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

[0171] S209: Determine an optimization adjustment strategy for the air-conditioning unit according to the energy efficiency difference to achieve optimized operation of each device in the air-conditioning unit.

[0172] The solution implemented in the present invention can accurately evaluate the energy efficiency performance of the air-conditioning unit by judging whether the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of each room meet the preset equipment operating conditions. This helps to discover energy efficiency problems in a timely manner and provide data support for subsequent optimization and adjustment.

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

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

[0175] The process improves the energy efficiency management of air conditioning units through accurate energy efficiency assessment and clear optimization adjustment strategies. This helps to reduce unnecessary energy consumption, lower operating costs, and also helps to improve the overall energy efficiency of the building.

[0176] The embodiment of the present invention divides each building into areas accurately. Each area can be configured with acquired parameters including area, number of mobile people, number of door opening and closing times, door opening area, orientation, type of work unit, etc. to realize the attribute construction of each room. Then, based on the attributes, similar rooms are determined. By comparing rooms with the same conditions, specific energy efficiency comparison is performed to realize accurate operation control of the corresponding air-conditioning unit.

[0177] The refrigeration energy efficiency evaluation management method in the embodiment of the present invention not only calculates the cooling capacity of the air-conditioning unit as a whole, but also calculates the cooling capacity of each room in the building. This personalized evaluation method makes energy efficiency management more detailed and accurate, and helps to discover and optimize energy efficiency problems in a single room.

[0178] Embodiment 2

[0179] See also Fig. 9 , Fig. 9 Schematic diagram of the structure of the energy efficiency monitoring system for the refrigeration room disclosed in the embodiment of the present invention. Fig. 9 As shown, the energy efficiency monitoring system of the refrigeration room may include:

[0180] Construction module 21: used to display corresponding unit equipment in the unit construction area of ​​the air conditioning system designer based on the configuration mode designed by the user to construct a unit connection system, and select corresponding connecting pipelines in the unit equipment area according to the unit connection system to connect each unit equipment in the unit connection system through pipelines so that each unit equipment in the unit connection system is connected; wherein each unit equipment is associated with a device data table;

[0181] The selection module 22 is used for, when it is detected that the user is in a pipeline adjustment state, to associate data with each connection pipeline currently selected by the user according to each connection pipeline selected by the user to generate a display pipeline component, wherein the display pipeline component includes a plurality of connection pipelines, and each connection pipeline in the display pipeline component is associated with the same pipeline data table;

[0182] Determination module 23: used to determine the refrigeration parameters and the first energy efficiency parameters of each unit device in the unit connection system according to the device data table configured by the user for each unit device, and to determine the heat loss parameters of each display pipeline section in the unit connection system according to the pipeline data table configured by the user for each display pipeline component;

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

[0184] Embodiment 3

[0185] See also Fig.10 , Fig.10 Schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention. The electronic device may be a computer, a server, etc. Of course, in certain circumstances, it may also be a smart device such as a mobile phone, a tablet computer, a monitoring terminal, and an image acquisition device with processing functions. Fig.10 As shown, the electronic device may include:

[0186] A memory 510 storing executable program codes;

[0187] a processor 520 coupled to the memory 510;

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

[0189] The above is a detailed introduction to the energy efficiency monitoring method, system, electronic device and storage medium for the refrigeration room disclosed in the embodiments of the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in the field, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for monitoring energy efficiency of a refrigeration room, characterized in that: include: Based on the configuration mode designed by the user, corresponding unit equipment is displayed in the unit construction area of ​​the air conditioning system designer to construct a unit connection system, and corresponding connecting pipelines are selected in the unit equipment area according to the unit connection system to connect the various unit equipment in the unit connection system through pipelines so that the various unit equipment in the unit connection system are connected; wherein each unit equipment is associated with a device data table; When it is detected that the user is in a pipeline adjustment state, data association is performed on each connection pipeline currently selected by the user according to each connection pipeline selected by the user to generate a display pipeline component, wherein the display pipeline component includes a plurality of connection pipelines, and each connection pipeline in the display pipeline component is associated with the same pipeline data table; Determine the refrigeration parameters and the first energy efficiency parameters of each unit device in the unit connection system according to the device data table configured by the user for each unit device, and determine the heat loss parameters of each display pipeline section in the unit connection system according to the pipeline data table configured by the user for each display pipeline component; The comprehensive energy efficiency value of the unit connection system is determined according to the refrigeration parameters and the first energy efficiency parameters of each unit equipment in the unit connection system, and the heat loss parameters of each display pipeline section in the unit connection system, and the comprehensive energy efficiency value is displayed.

2. The method for monitoring the energy efficiency of a refrigeration room according to claim 1, characterized in that: After displaying the comprehensive energy efficiency value, the method further includes: According to the unit connection system, a relationship mapping is performed with the air conditioning unit system, and corresponding sensor components are provided in the unit equipment and pipeline sections of the air conditioning unit system, and the sensor components are used to transmit the detected sensor information to the background server to update the corresponding equipment data table and pipeline data table in the unit connection system; According to the received device sensing information detected by the sensor component in the unit device, the preset state-color mapping relationship is matched to determine the display color of the corresponding unit device, and the color of the unit device in the unit connection system is updated according to the display color of the corresponding unit device; The pipeline sensing information detected by the sensor assembly in the received pipeline section is matched with the preset pipeline-color mapping relationship to determine the display color of the corresponding pipeline section, and the color of the pipeline section in the unit connection system is updated according to the display color of the corresponding pipeline section.

3. The method for monitoring the energy efficiency of a refrigeration room according to claim 2, characterized in that: The energy efficiency monitoring method further includes: Acquire corresponding building information, wherein the building information includes information of each room in the building; the room information includes location information, area information, number of people information and energy efficiency update information; The building information is data-associated with the corresponding unit connection system.

4. The method for monitoring the energy efficiency of a refrigeration room according to claim 3, characterized in that: After obtaining the corresponding building information, the method further includes: Obtain cooling demand information for each room area in the building; Determine the cooling capacity of the air conditioning system of the building; the air conditioning system includes an air conditioning host, a circulation pump, a cooling pump and a cooling tower; Determine the unit cooling capacity energy consumption of the air conditioning unit system, the unit cooling capacity energy consumption of the circulation pump, the unit cooling capacity energy consumption of the cooling pump and the unit cooling capacity energy consumption of the cooling tower according to the energy consumption of the air conditioning main unit, the energy consumption of the circulation pump, the energy consumption of the cooling pump and the energy consumption of 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 regional cooling load of the corresponding room area according to the room information of each room area; Determine the regional energy consumption of each room area based on the unit cooling capacity energy consumption of the air conditioner main unit, the unit cooling capacity energy consumption of the circulation 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 regional cooling load of the room area; According to the regional energy consumption of each room area, the local electrical energy utilization efficiency of each room area in the building is determined.

5. The method for monitoring the energy efficiency of a refrigeration room according to claim 3, characterized in that: The energy efficiency update information is determined by the following steps: Receiving air inlet sensor parameters of an air inlet sensor monitoring point arranged at an air inlet duct of the air conditioning unit, and determining an outdoor heat state value of a corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table; Receiving air outlet sensor parameters detected by air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determining indoor heat state values ​​of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and a pre-constructed sensor-heat mapping table; Acquire air supply distance information between each air outlet sensor monitoring point and each air inlet sensor monitoring point, and determine 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 according to 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, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building; Obtain the operating power information of each device in the air-conditioning unit, and determine the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room based on the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit, and the heat loss parameters of each room. The refrigeration energy efficiency of each room is the energy efficiency update information.

6. The method for monitoring the energy efficiency of a refrigeration room according to claim 1, characterized in that: 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.

7. The method for monitoring the energy efficiency of a refrigeration room according to claim 1, characterized in that: The energy efficiency monitoring method further includes: Receiving data request information from a user, wherein the data request information includes data request address information, data request range, and device credibility; Perform dynamic identity authentication on the corresponding user according to the dynamic authentication method to determine whether the corresponding user can meet the access requirements of the energy efficiency monitoring system. If the requirements are met, proceed to the next step; Determine a corresponding access address set according to the data request range, and perform data matching between the data request address information and the access address set. If the match is successful, allow the corresponding user to view the corresponding energy efficiency service data; if the match is unsuccessful, execute the next step; Determine whether to allow a corresponding user to view corresponding energy efficiency service data according to the device credibility, and the device credibility is determined by the following steps: At the smart terminal, the system boot program, system program, business configuration parameters and communication application program of the communication device are trustedly verified based on the device security verification module to obtain the corresponding device credibility. The device security verification module includes a system security module, a communication security module and a business security module; the system security module is determined by the following steps: generating a first public key and a first private key, burning the first public key into the smart terminal hardware in a trusted root manner, using the first private key to sign the operating system image, and setting the first public key to verify the signature of the operating system image when the operating system is started to obtain the system security module.

8. An energy efficiency monitoring system for a refrigeration room, characterized in that: include: A construction module: used to display corresponding unit equipment in the unit construction area of ​​the air conditioning system designer based on the configuration mode designed by the user to construct a unit connection system, and select corresponding connecting pipes in the unit equipment area according to the unit connection system to connect each unit equipment in the unit connection system with pipes so that each unit equipment in the unit connection system is connected; wherein each unit equipment is associated with a device data table; A selection module: when it is detected that the user is in a pipeline adjustment state, data association is performed on each connection pipeline currently selected by the user according to each connection pipeline selected by the user to generate a display pipeline component, wherein the display pipeline component includes a plurality of connection pipelines, and each connection pipeline in the display pipeline component is associated with the same pipeline data table; Determination module: used to determine the refrigeration parameters and the first energy efficiency parameters of each unit device in the unit connection system according to the device data table configured by the user for each unit device, and to determine the heat loss parameters of each display pipeline section in the unit connection system according to the pipeline data table configured by the user for each display pipeline component; Calculation module: used to determine the comprehensive energy efficiency value of the unit connection system according to the refrigeration parameters and the first energy efficiency parameters of each unit equipment in the unit connection system, and the heat loss parameters of each display pipeline section in the unit connection system, and display the comprehensive energy efficiency value.

9. An electronic device, characterized in that: include: A memory storing 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 a refrigeration room according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program enables a computer to execute the energy efficiency monitoring method for a refrigeration room according to any one of claims 1 to 7.

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