Temperature control equipment management method, device and system, electronic equipment and storage medium
Through the digital twin model, the operating status of the temperature control equipment is simulated and control instructions are generated, which solves the problem of inefficient management of existing temperature control equipment, and achieves efficient and accurate equipment status adjustment and energy consumption optimization.
Patent Information
- Application Number
- CN202411928176.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-05-06
AI Technical Summary
The existing temperature control equipment management methods are inefficient and are prone to errors in equipment parameter adjustment, especially in special areas, it is difficult to achieve efficient and accurate equipment status adjustments, resulting in equipment failures and energy waste.
By receiving the operating parameters of the target temperature control device, inputting a pre-built digital twin model, simulating the equipment operation process, obtaining simulated status data, evaluating based on preset status evaluation rules, generating control instructions for adjustment, and real-time status adjustment.
It improves the efficiency and accuracy of temperature control equipment management, reduces the risk of equipment failure and energy consumption, and achieves more efficient equipment monitoring and maintenance.
Smart Images
Figure CN119937685A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of automation control technology, and in particular to a temperature control equipment management method, device, system, electronic equipment and storage medium. Background Art
[0002] At present, various types of temperature control equipment are being used more and more widely. In order to keep the temperature control equipment working normally, it is necessary to monitor the temperature control equipment effectively. The commonly used monitoring method is to conduct regular manual inspections and adjust the working status of the temperature control equipment. The manual inspection method is inefficient and prone to equipment parameter adjustment errors. In some special areas, the monitoring and maintenance convenience of temperature control equipment is poor, and it is impossible to adjust the status of the temperature control equipment efficiently and accurately, which is easy to cause equipment failure and energy waste. Summary of the invention
[0003] In view of this, in order to solve some or all of the above-mentioned technical problems, the embodiments of the present application provide a temperature control equipment management method, device, system, electronic device and storage medium.
[0004] In a first aspect, an embodiment of the present application provides a temperature control device management method, the method comprising: receiving operating parameters sent by a target temperature control device; inputting the operating parameters into a pre-built digital twin model, and using the digital twin model to simulate the operating process of the target temperature control device to obtain first simulation state data; based on preset state evaluation rules, evaluating the first simulation state data to obtain a state evaluation result; based on the state evaluation result, generating a first control instruction for adjusting the operating state of the target temperature control device, and sending the first control instruction to the target temperature control device.
[0005] In one possible implementation, based on a preset state evaluation rule, the first simulation state data is evaluated to obtain a state evaluation result, including: obtaining environmental information of the location of the target temperature control device; comparing the environmental information with the first simulation state data to obtain a state evaluation result indicating whether the environmental information matches the first simulation state data; based on the state evaluation result, generating a first control instruction for adjusting the operating state of the target temperature control device, including: if the state evaluation result indicates that the environmental information does not match the first simulation state data, adjusting the operating parameters of the target temperature control device based on the environmental information, and generating a first control instruction based on the adjusted operating parameters.
[0006] In one possible implementation, based on a preset state evaluation rule, the first simulation state data is evaluated to obtain a state evaluation result, and also includes: based on the first simulation state data, energy consumption of the target temperature control device is predicted to obtain a state evaluation result representing the energy consumption of the target temperature control device; based on the state evaluation result, a first control instruction for adjusting the operating state of the target temperature control device is generated, and also includes: if the state evaluation result indicates that the energy consumption exceeds the energy consumption threshold corresponding to the environmental information, based on a preset energy consumption adjustment strategy, a first control instruction for reducing the energy consumption of the target temperature control device is generated.
[0007] In one possible implementation, the method further includes: obtaining simulation operation parameters; inputting the simulation operation parameters into the digital twin model, simulating the operation process of the target temperature control device by the digital twin model, obtaining second simulation state data and outputting the second simulation state data.
[0008] In one possible implementation, after sending the first control instruction to the target temperature control device, the method further includes: obtaining operating data fed back by the target temperature control device, and obtaining usage effect information fed back by the user after using the target temperature control device; if the usage effect information indicates that the target temperature control device can meet the user's usage requirements, generating energy-saving recommendation strategy information based on the operating data; based on the energy-saving recommendation strategy information, generating a second control instruction for adjusting the operating state of the target temperature control device, and sending the second control instruction to the target temperature control device.
[0009] In one possible implementation, after inputting the operating parameters into a pre-built digital twin model, simulating the operating process of the target temperature control device by the digital twin model, and obtaining the first simulation state data, the method further includes: displaying a three-dimensional model of multiple components included in the temperature control device on a monitoring interface; and displaying the operating parameters and / or the first simulation state data on the three-dimensional model of the corresponding component.
[0010] In one possible embodiment, after displaying the three-dimensional models of multiple components included in the temperature control device on the monitoring interface, the method also includes: in response to obtaining corresponding configuration information from the configuration interface corresponding to the three-dimensional model of the target component, generating a third control instruction for controlling the target component based on the configuration information; and sending the third control instruction to the target temperature control device.
[0011] In the second aspect, an embodiment of the present application provides a temperature control device management device, which includes: a receiving module for receiving operating parameters sent by a target temperature control device; a first simulation module for inputting the operating parameters into a pre-built digital twin model, and the digital twin model simulates the operating process of the target temperature control device to obtain first simulation state data; an evaluation module for evaluating the first simulation state data based on a preset state evaluation rule to obtain a state evaluation result; a first generation module for generating a first control instruction for adjusting the operating state of the target temperature control device based on the state evaluation result, and sending the first control instruction to the target temperature control device.
[0012] In a third aspect, an embodiment of the present application provides a temperature control device management system, the system comprising: a control device and a temperature control device, the control device and the temperature control device being communicatively connected, the control device being used to execute the temperature control device management method of any one of claims 1-7 to control the temperature control device.
[0013] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a memory for storing a computer program; a processor for executing the computer program stored in the memory, and when the computer program is executed, the method of any embodiment of the temperature control equipment management method of the above-mentioned first aspect of the present application is implemented.
[0014] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, a method of any embodiment of the temperature control device management method of the first aspect described above is implemented.
[0015] In a sixth aspect, an embodiment of the present application provides a computer program, which includes a computer-readable code. When the computer-readable code runs on a device, the processor in the device implements a method as in any embodiment of the temperature control device management method of the first aspect mentioned above.
[0016] The temperature control device management method, device, system, electronic device and storage medium provided in the embodiment of the present application receive the operating parameters sent by the target temperature control device, input the operating parameters into a pre-built digital twin model, and use the digital twin model to simulate the operating process of the temperature control device to obtain first simulation state data, evaluate the first simulation state data based on a preset state evaluation rule, obtain a state evaluation result, and adjust the operating state of the target temperature control device based on the state evaluation result. The embodiment of the present application realizes the use of a digital twin model to remotely and accurately evaluate the operating state of the temperature control device and adjust the operating state of the temperature control device in real time, which can effectively improve the efficiency and accuracy of temperature control device management, thereby helping to reduce the risk of failure of the temperature control device and helping to reduce the energy consumption of the device. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0019] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.
[0020] Figure 1 A flow chart of a temperature control device management method provided in an embodiment of the present application;
[0021] Figure 2 A flow chart of another temperature control device management method provided in an embodiment of the present application;
[0022] Figure 3 A flowchart of another temperature control device management method provided in an embodiment of the present application;
[0023] Figure 4 A flowchart of another temperature control device management method provided in an embodiment of the present application;
[0024] Figure 5 A flowchart of another temperature control device management method provided in an embodiment of the present application;
[0025] Figure 6 A flowchart of another temperature control device management method provided in an embodiment of the present application;
[0026] Figure 7 A flowchart of another temperature control device management method provided in an embodiment of the present application;
[0027] Figure 8 A schematic diagram of the structure of a temperature control device management device provided in an embodiment of the present application;
[0028] Fig. 9 A schematic diagram of the structure of a temperature control equipment management system provided in an embodiment of the present application;
[0029] Fig.10 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0030] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. It should be noted that unless otherwise specifically stated, the relative arrangement of the components and steps, the numerical expressions and the numerical values described in these embodiments do not limit the scope of the present application.
[0031] Those skilled in the art will understand that the terms "first" and "second" in the embodiments of the present application are only used to distinguish between different steps, devices, modules and other objects, and do not represent any specific technical meanings, nor do they indicate the logical order between them.
[0032] It should also be understood that in this embodiment, “plurality” may refer to two or more than two, and “at least one” may refer to one, two or more than two.
[0033] It should also be understood that any component, data or structure mentioned in the embodiments of the present application can generally be understood as one or more, unless explicitly limited or otherwise indicated in the context.
[0034] In addition, the term "and / or" in this application is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this application generally indicates that the associated objects before and after are in an "or" relationship.
[0035] It should also be understood that the description of the various embodiments in this application focuses on the differences between the various embodiments, and the same or similar aspects thereof can be referenced to each other, and for the sake of brevity, they will not be described one by one.
[0036] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present application, its application, or uses.
[0037] Technologies, circuits, and devices known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the above-mentioned technologies, circuits, and devices should be considered as part of the specification.
[0038] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.
[0039] It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. To facilitate the understanding of the embodiments of the present application, the present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.
[0040] In order to solve the technical problems of low management efficiency and high risk of failure of temperature control equipment in the prior art, the present application provides a temperature control equipment management method, which can accurately evaluate the operating status of the temperature control equipment remotely and adjust the operating status of the temperature control equipment in real time, thereby effectively improving the efficiency and accuracy of temperature control equipment management.
[0041] Figure 1 A flow chart of a temperature control device management method provided in an embodiment of the present application. This method can be applied to the scenario of controlling the temperature control device, and the method can be executed by various types of electronic devices, such as industrial computers, smart phones, servers, personal computers, etc. These electronic devices can be connected to the temperature control device in communication, receive data sent by the temperature control device and send instructions to the temperature control device. In addition, the execution subject of the present method can be hardware or software. When the above-mentioned execution subject is hardware, the execution subject can be one or more of the above-mentioned electronic devices. For example, a single electronic device can execute the present method, or multiple electronic devices can cooperate with each other to execute the present method. When the above-mentioned execution subject is software, the present method can be implemented as multiple software or software modules, or as a single software or software module. No specific limitation is made here.
[0042] like Figure 1 As shown, the method specifically includes:
[0043] Step 101, receiving operating parameters sent by a target temperature control device.
[0044] In some embodiments, the target temperature control device is a device of various types for adjusting temperature that is set somewhere. For example, the target temperature control device may be an air conditioning device, a water heater device, etc. The target temperature control device may send operating parameters to the electronic device that executes the method. As an example, the operating parameters may include but are not limited to at least one of the following: operating mode, power on / off time, water inlet temperature, water outlet temperature, upper and lower limits of energy-saving ambient temperature, fault data, compressor temperature sensing data, etc.
[0045] Step 102: Input the operating parameters into a pre-built digital twin model, and use the digital twin model to simulate the operating process of the target temperature control device to obtain first simulation state data.
[0046] In some embodiments, the digital twin model is a simulation model pre-established based on the structure and operation process of the target temperature control device. The model can simulate various functions of the target temperature control device and output the first simulation state data. Generally, the digital twin model can include a pre-trained machine learning model, which can collect a large number of sample operating parameters adapted to the environment in which the target temperature control device is located in advance, and calibrate the sample operating parameters in advance. The parameters of the machine learning model are adjusted through a machine learning method to minimize the error between the first simulation state data predicted by the model and the labeled first simulation state data, thereby ending the training when the error minimization condition is met, and obtaining the above-mentioned machine learning model.
[0047] The first simulation state data indicates the operation state of the target temperature control device predicted by the digital twin model under the drive of the operation parameters. For example, the first simulation state data may include the power consumption, temperature, current, fault data, etc. of the target temperature control device in the future.
[0048] Step 103: Evaluate the first simulation state data based on a preset state evaluation rule to obtain a state evaluation result.
[0049] In some embodiments, the state evaluation rules can be set according to actual needs. For example, the state evaluation rules can be used to evaluate the energy consumption of the target temperature control device, and determine whether the energy consumption of the target temperature control device is too high according to the first simulation state data including the energy consumption data. For another example, the state evaluation rules can be used to evaluate whether the exhaust temperature of the target temperature control device is too high, whether the compressor power is overloaded, etc.
[0050] Step 104: Based on the state evaluation result, generate a first control instruction for adjusting the operating state of the target temperature control device, and send the first control instruction to the target temperature control device.
[0051] In some embodiments, the correspondence between the state evaluation result and the state adjustment parameter of the target temperature control device can be preset. When the state evaluation result is inconsistent with the corresponding expected result, the state of the target temperature control device can be adjusted. As an example, when the target temperature control device is a water heater, if the outlet water temperature exceeds the threshold, an instruction for stopping heating is generated as the first control instruction; if the predicted energy consumption exceeds the energy consumption threshold, an instruction for reducing the heating amount is generated as the first control instruction. After obtaining the first control instruction, the electronic device can send the first control instruction to the target temperature control device, and the target temperature control device randomly adjusts the operating state according to the first control instruction.
[0052] Optionally, the state evaluation rule can also be used to determine whether the target temperature control device fails based on the first simulated state data. For example, when the first simulated state data is inconsistent with the real state data actually fed back by the target temperature control device, it is determined that the target temperature control device fails. At this time, a first control instruction can be sent to the target temperature control device to control the target temperature control device to perform operations such as shutdown, restart, or self-repair.
[0053] The temperature control device management method provided in the embodiment of the present application receives the operating parameters sent by the target temperature control device, inputs the operating parameters into a pre-built digital twin model, and uses the digital twin model to simulate the operating process of the temperature control device to obtain first simulation state data, and evaluates the first simulation state data based on a preset state evaluation rule to obtain a state evaluation result, and adjusts the operating state of the target temperature control device based on the state evaluation result. The embodiment of the present application realizes the use of a digital twin model to remotely and accurately evaluate the operating state of the temperature control device, and adjusts the operating state of the temperature control device in real time, which can effectively improve the efficiency and accuracy of temperature control device management, thereby helping to reduce the risk of failure of the temperature control device and helping to reduce the energy consumption of the device.
[0054] In some optional implementations, such as Figure 2 As shown, step 103 includes:
[0055] Step 1031, obtaining environmental information of the location of the target temperature control device.
[0056] The environmental information may include the temperature, humidity, altitude, wind speed, and other information at the location of the target temperature control device.
[0057] Step 1032: Compare the environment information with the first simulation state data to obtain a state evaluation result indicating whether the environment information matches the first simulation state data.
[0058] Among them, the expected state of the target temperature control device can be preset according to the different environmental states of the target temperature control device. The correspondence between the environmental information and the expected state can be preset, for example, the correspondence between the two can be represented by a correspondence table. When the state represented by the first simulation state data does not conform to the above correspondence, it is determined that the environmental information does not match the first simulation state data.
[0059] For example, if the target temperature control device is in a cold environment, the desired state of the target temperature control device is to set a higher temperature to prevent the temperature of the heated object from decreasing; if the target temperature control device is in a hot environment, the desired state of the target temperature control device is to set a lower temperature to achieve the purpose of saving energy.
[0060] Step 104 includes:
[0061] Step 1041: If the state evaluation result indicates that the environmental information does not match the first simulation state data, the operating parameters of the target temperature control device are adjusted based on the environmental information, and a first control instruction is generated based on the adjusted operating parameters.
[0062] The correspondence between the operating parameters of the target temperature control device and the environmental information can be preset. For example, the correspondence between the operating parameters and the environmental information is represented by a table or a calculation formula. When the environmental information does not match the first simulation state data, it means that the operation of the target temperature control device cannot meet the needs of the user's environment. At this time, the operating parameters can be adjusted to make the state of the target temperature control device reach the desired state.
[0063] For example, when the environmental information indicates that the target temperature control device is in a low-temperature environment, the operating parameters can be adjusted to increase the heating temperature of the target temperature control device to a certain extent to prevent heat loss from the heated object; when the environmental information indicates that the target temperature control device is in a high-temperature environment, the operating parameters can be adjusted to reduce the heating temperature of the target temperature control device to a certain extent to achieve the purpose of energy saving.
[0064] This embodiment matches the environmental information with the first simulation state data to automatically adjust the operating state of the target temperature control device according to the environment of the target temperature control device, thereby helping to improve the environmental adaptability of the target temperature control device, provide users with more targeted heating services, and reduce energy consumption.
[0065] In some optional implementations, such as Figure 3 As shown, step 103 also includes:
[0066] Step 1033: Based on the first simulation state data, energy consumption of the target temperature control device is predicted to obtain a state evaluation result indicating the energy consumption of the target temperature control device.
[0067] Among them, the first simulation state data may include data representing energy consumption, that is, the above-mentioned digital twin model can predict energy consumption according to the operating parameters, obtain the energy consumption of the target temperature control equipment under the current working conditions, and use the energy consumption as the state evaluation result.
[0068] Step 104 also includes:
[0069] Step 1042: If the status evaluation result indicates that the energy consumption exceeds the energy consumption threshold corresponding to the environmental information, a first control instruction for reducing the energy consumption of the target temperature control device is generated based on a preset energy consumption adjustment strategy.
[0070] Specifically, the energy consumption of the temperature control device under the environmental state represented by the above environmental information can be counted in advance to obtain the energy consumption threshold under the environmental state (for example, the average value of energy consumption counted multiple times). The energy consumption adjustment strategy can be set in combination with the actual scenario. For example, if the target temperature control device is a water heater, according to the historical usage records of the target temperature control device and the environmental state of the target temperature control device (including air temperature, humidity, etc.), the user usually uses water for 8 hours a day. If the current first simulation state data indicates that the user uses water for far more than 8 hours, the target device can be controlled to reduce energy consumption. The generated first control instruction can control the target temperature control device to lower the heating temperature or reduce the heating time.
[0071] This embodiment sets an energy consumption adjustment strategy to automatically adjust the operating state of the target temperature control device according to the user's use of the target temperature control device and the environmental conditions in which it is located, so as to reduce energy consumption and further improve the level of automated management of the target temperature control device.
[0072] In some optional implementations, such as Figure 4 As shown, the method also includes:
[0073] Step 105, obtaining simulation operation parameters.
[0074] Among them, the simulation operation parameters are various parameters input by the user to instruct the digital twin model to perform virtual simulation operations. These parameters can simulate various working conditions, including peak load, partial load and minimum load, etc. For example, the simulation operation parameter library includes operation mode, inlet water temperature, outlet water temperature, compressor power, ambient temperature, ambient humidity, altitude, wind speed, etc.
[0075] Step 106: Input the simulation operation parameters into the digital twin model, and use the digital twin model to simulate the operation process of the target temperature control device to obtain the second simulation state data and output the second simulation state data.
[0076] The digital twin model can use the model parameters determined by its pre-training and the above-mentioned input simulation operation parameters to perform calculations, thereby simulating the operation of the target temperature control device in a real environment and obtaining the second simulation state data. The second simulation state data can be output in various ways, such as being displayed on a display included in the electronic device executing the method, or being sent to a terminal device used by a user via a network.
[0077] In this embodiment, the digital twin model can simulate various operating conditions according to the simulated operating parameters arbitrarily input by the user, thereby helping to more efficiently analyze the operating status of the target temperature control equipment and obtain a more accurate and energy-saving control strategy.
[0078] In some optional implementations, such as Figure 5As shown, after step 104, the method further includes:
[0079] Step 107, obtaining the operating data fed back by the target temperature control device, and obtaining the use effect information fed back by the user after using the target temperature control device.
[0080] The above operating data may be real data collected by various sensors on the target temperature control device, such as the current water temperature, compressor pressure, power, boot time, etc. The above usage effect information indicates the real needs of the user for using the target temperature control device, such as actual water consumption, actual water use time, etc.
[0081] Step 108: If the usage effect information indicates that the target temperature control device can meet the user's usage requirements, energy-saving recommendation strategy information is generated based on the operation data.
[0082] Specifically, if the usage effect information indicates that the target temperature control device can meet the user's usage needs, it means that the actual energy consumption of the target temperature control device has exceeded the actual needs of the user. At this time, the energy saving recommendation strategy can be implemented to shut down redundant operations. For example, if the target temperature control device is a water heater, its daily startup time is 24 hours, but the user actually uses it for 8 hours, then the heating power can be reduced or the startup time can be reduced.
[0083] Step 109: Generate a second control instruction for adjusting the operating state of the target temperature control device based on the energy-saving recommendation strategy information, and send the second control instruction to the target temperature control device.
[0084] The energy-saving recommended strategy information refers to information about parameter adjustments of the target temperature control device in order to save energy. For example, it includes the adjusted temperature value, compressor power value, power-on time, etc. After the second control instruction is sent to the target temperature control device, the target temperature control device can adjust the operating state to implement the energy-saving recommended strategy.
[0085] This embodiment analyzes the operating data fed back by the target temperature control device and the usage effect information fed back by the user, uses the energy-saving recommendation strategy information, and performs targeted control on the target temperature control device, thereby further reducing the energy consumption of the target temperature control device.
[0086] In some optional implementations, such as Figure 6 As shown, after step 102, the method further includes:
[0087] Step 110: Displaying three-dimensional models of multiple components included in the temperature control device on a monitoring interface.
[0088] The three-dimensional model can be drawn in advance using three-dimensional drawing software, and the three-dimensional model of each component of the temperature control device can be displayed on the monitoring interface, and the connection method of each component and related parameters can also be displayed. The three-dimensional model can be included in the above-mentioned digital twin model, and the digital twin model can display the corresponding parameters, status, animation and other information in the three-dimensional model screen while running the simulation mathematical model.
[0089] Step 111: display the operating parameters and / or the first simulation state data on the three-dimensional model of the corresponding component.
[0090] As an example, the above-mentioned monitoring interface can display three-dimensional models of components such as heat exchangers, pumps, and control valves. In the display areas corresponding to different three-dimensional models, corresponding operating parameters and / or first simulation status data can be displayed, such as the open or closed status of the above-mentioned components, liquid flow direction, temperature, fault status and other information.
[0091] This embodiment constructs a three-dimensional model of the target temperature control device. During the operation of the digital twin model, relevant information can be displayed on the three-dimensional model, thereby improving the convenience of status monitoring and adjustment of the temperature control device.
[0092] In some optional implementations, such as Figure 7 As shown, after step 110, the method further includes:
[0093] Step 112: in response to acquiring corresponding configuration information from the configuration interface corresponding to the three-dimensional model of the target component, generating a third control instruction for controlling the target component based on the configuration information.
[0094] The configuration information may be input by the user on the three-dimensional model, and the electronic device determines the target component to be controlled according to the type of the three-dimensional model, and then generates a corresponding instruction as the third control instruction.
[0095] Step 113: Send the third control instruction to the target temperature control device.
[0096] When the target temperature control device receives the third control instruction, it can parse the control parameters of the target component from the third control instruction, and then adjust the state of the target component. For example, the user inputs the opening instruction of the control valve on the configuration interface corresponding to the three-dimensional model of the control valve, and the opening instruction can be sent to the control valve, thereby realizing remote control of the control valve.
[0097] This embodiment can realize visual remote manual control of the target temperature control device by setting a corresponding configuration interface for the three-dimensional model, thereby further improving the convenience of monitoring the temperature control device.
[0098] Figure 8A schematic diagram of the structure of a temperature control equipment management device provided in an embodiment of the present application. Specifically comprising:
[0099] The receiving module 801 is used to receive the operating parameters sent by the target temperature control device;
[0100] The first simulation module 802 is used to input the operating parameters into the pre-built digital twin model, and the digital twin model simulates the operating process of the target temperature control device to obtain the first simulation state data;
[0101] An evaluation module 803 is used to evaluate the first simulation state data based on a preset state evaluation rule to obtain a state evaluation result;
[0102] The first generating module 804 is used to generate a first control instruction for adjusting the operating state of the target temperature control device based on the state evaluation result, and send the first control instruction to the target temperature control device.
[0103] In some optional implementations, the evaluation module includes: an acquisition unit, used to acquire environmental information of the location of the target temperature control device; a comparison unit, used to compare the environmental information with the first simulation state data to obtain a state evaluation result indicating whether the environmental information matches the first simulation state data; the first generation module is further used to: if the state evaluation result indicates that the environmental information does not match the first simulation state data, adjust the operating parameters of the target temperature control device based on the environmental information, and generate a first control instruction based on the adjusted operating parameters.
[0104] In some optional implementations, the evaluation module also includes: a prediction unit, used to predict the energy consumption of the target temperature control device based on the first simulation state data, and obtain a state evaluation result representing the energy consumption of the target temperature control device; the first generation module is also used to: if the state evaluation result indicates that the energy consumption exceeds the energy consumption threshold corresponding to the environmental information, based on a preset energy consumption adjustment strategy, generate a first control instruction for reducing the energy consumption of the target temperature control device.
[0105] In some optional implementations, the device also includes: a first acquisition module, used to acquire simulation operation parameters; a second simulation module, used to input the simulation operation parameters into the digital twin model, and the digital twin model simulates the operation process of the target temperature control device to obtain second simulation state data and output the second simulation state data.
[0106] In some optional implementations, the device also includes: a second acquisition module, used to obtain operating data fed back by the target temperature control device, and obtain usage effect information fed back by the user after using the target temperature control device; a second generation module, used to generate energy-saving recommendation strategy information based on the operating data if the usage effect information indicates that the target temperature control device can meet the user's usage requirements; a third generation module, used to generate a second control instruction for adjusting the operating state of the target temperature control device based on the energy-saving recommendation strategy information, and send the second control instruction to the target temperature control device.
[0107] In some optional implementations, the device also includes: a first display module, used to display a three-dimensional model of multiple components included in the temperature control device on a monitoring interface; and a second display module, used to display operating parameters and / or first simulation status data on the three-dimensional model of the corresponding component.
[0108] In some optional implementations, the device also includes: a fourth generation module, used to obtain corresponding configuration information from a configuration interface corresponding to the three-dimensional model of the target component, and generate a third control instruction for controlling the target component based on the configuration information; a sending module, used to send the third control instruction to the target temperature control device.
[0109] The temperature control device management device provided in this embodiment can be as follows Figure 8 The temperature control equipment management device shown in can execute all steps of the above temperature control equipment management methods, thereby achieving the technical effects of the above temperature control equipment management methods. Please refer to the above related description for details. For the sake of brevity, it will not be repeated here.
[0110] Fig. 9 A schematic diagram of the structure of a temperature control device management system provided in an embodiment of the present application, the system includes: a control device 901 and a temperature control device 902, the control device 901 and the temperature control device 902 are communicatively connected, and the control device 901 is used to execute the temperature control device management method described in any of the above embodiments to control the temperature control device 902. The temperature control device is a device of various types for adjusting the temperature set somewhere. For example, the target temperature control device can be an air conditioning device, a water heater device, etc. The number of temperature control devices can be one or more, that is, the control device can remotely manage at least one temperature control device.
[0111] The system provided in this embodiment includes a control device that can execute all steps of the above temperature control device management methods, thereby achieving the technical effects of the above temperature control device management methods. Please refer to the above related description for details. For the sake of brevity, it will not be repeated here.
[0112] Fig.10 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, Fig.10The electronic device 1000 shown includes: at least one processor 1001, a memory 1002, at least one network interface 1004 and other user interfaces 1003. The various components in the electronic device 1000 are coupled together via a bus system 1005. It is understood that the bus system 1005 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 1005 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, the bus system 1005 is not described in detail. Fig.10 Various buses are labeled as bus system 1005 .
[0113] The user interface 1003 may include a display, a keyboard, or a pointing device (eg, a mouse, a trackball, a touch pad, or a touch screen).
[0114] It can be understood that the memory 1002 in the embodiment of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus random access memory (DRRAM). The memory 1002 described herein is intended to include, but is not limited to, these and any other suitable types of memory.
[0115] In some implementations, the memory 1002 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system 10021 and an application program 10022 .
[0116] The operating system 10021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks. The application 10022 includes various application programs, such as a media player (Media Player), a browser (Browser), etc., which are used to implement various application services. The program for implementing the method of the embodiment of the present application can be included in the application 10022.
[0117] In this embodiment, by calling the program or instruction stored in the memory 1002, specifically, the program or instruction stored in the application 10022, the processor 1001 is used to execute the method steps provided by each method embodiment, for example, including:
[0118] Receive operating parameters sent by the target temperature control device; input the operating parameters into a pre-built digital twin model, and use the digital twin model to simulate the operating process of the target temperature control device to obtain first simulation state data; based on a preset state evaluation rule, evaluate the first simulation state data to obtain a state evaluation result; based on the state evaluation result, generate a first control instruction for adjusting the operating state of the target temperature control device, and send the first control instruction to the target temperature control device.
[0119] The method disclosed in the above embodiment of the present application can be applied to the processor 1001, or implemented by the processor 1001. The processor 1001 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 1001. The above processor 1001 can be a general processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to execute, or the hardware and software units in the decoding processor can be executed. The software unit can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 1002, and the processor 1001 reads the information in the memory 1002 and completes the steps of the above method in combination with its hardware.
[0120] It is understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit may be implemented in one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPDevice, DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the above functions of the present application, or a combination thereof.
[0121] For software implementation, the technology described above in this article can be implemented by a unit that performs the functions described above in this article. The software code can be stored in a memory and executed by a processor. The memory can be implemented in the processor or outside the processor.
[0122] The electronic device provided in this embodiment may be Fig.10 The electronic device shown in can execute all the steps of the temperature control device management methods described above, thereby achieving the technical effects of the temperature control device management methods described above. Please refer to the above related description for details. For the sake of brevity, it will not be repeated here.
[0123] The embodiment of the present application also provides a storage medium (computer-readable storage medium). The storage medium here stores one or more programs. The storage medium may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid-state drive; the memory may also include a combination of the above-mentioned types of memory.
[0124] When one or more programs in the storage medium can be executed by one or more processors, the temperature control device management method executed on the electronic device side can be implemented.
[0125] The processor is used to execute the program stored in the memory to implement the following steps of the temperature control device management method executed on the electronic device side:
[0126] Receive operating parameters sent by the target temperature control device; input the operating parameters into a pre-built digital twin model, and use the digital twin model to simulate the operating process of the target temperature control device to obtain first simulation state data; based on a preset state evaluation rule, evaluate the first simulation state data to obtain a state evaluation result; based on the state evaluation result, generate a first control instruction for adjusting the operating state of the target temperature control device, and send the first control instruction to the target temperature control device.
[0127] The professionals should further realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different circuits to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0128] The steps of the circuits or algorithms described in conjunction with the embodiments disclosed herein may be implemented using hardware, software modules executed by a processor, or a combination of the two. The software modules may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
[0129] It should be understood that the terms used in the text are only for the purpose of describing specific example embodiments, and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used in the text may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The steps, processes, and operations described in the text are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.
[0130] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.
Claims
1. A temperature control equipment management method, characterized in that: The method comprises: Receive operating parameters sent by the target temperature control device; Inputting the operating parameters into a pre-built digital twin model, simulating the operating process of the target temperature control device by the digital twin model, and obtaining first simulation state data; Based on a preset state evaluation rule, the first simulation state data is evaluated to obtain a state evaluation result; Based on the state evaluation result, a first control instruction for adjusting the operating state of the target temperature control device is generated, and the first control instruction is sent to the target temperature control device.
2. The method according to claim 1, characterized in that The step of evaluating the first simulation state data based on a preset state evaluation rule to obtain a state evaluation result includes: Obtaining environmental information of the location of the target temperature control device; Comparing the environment information with the first simulation state data to obtain a state evaluation result indicating whether the environment information matches the first simulation state data; The generating, based on the state evaluation result, a first control instruction for adjusting the operating state of the target temperature control device comprises: If the state evaluation result indicates that the environmental information does not match the first simulation state data, the operating parameters of the target temperature control device are adjusted based on the environmental information, and the first control instruction is generated based on the adjusted operating parameters.
3. The method according to claim 2, characterized in that The step of evaluating the first simulation state data based on a preset state evaluation rule to obtain a state evaluation result further includes: Based on the first simulation state data, predicting the energy consumption of the target temperature control device to obtain a state evaluation result indicating the energy consumption of the target temperature control device; The generating, based on the state evaluation result, a first control instruction for adjusting the operating state of the target temperature control device further includes: If the state evaluation result indicates that the energy consumption exceeds the energy consumption threshold corresponding to the environmental information, a first control instruction for reducing the energy consumption of the target temperature control device is generated based on a preset energy consumption adjustment strategy.
4. The method according to claim 1, characterized in that: The method further comprises: Get simulation running parameters; The simulation operation parameters are input into the digital twin model, and the digital twin model simulates the operation process of the target temperature control device to obtain second simulation state data and output the second simulation state data.
5. The method according to claim 1, characterized in that: After sending the first control instruction to the target temperature control device, the method further includes: Obtaining the operating data fed back by the target temperature control device, and obtaining the use effect information fed back by the user after using the target temperature control device; If the usage effect information indicates that the target temperature control device can meet the usage requirements of the user, generating energy-saving recommendation strategy information based on the operation data; Based on the energy-saving recommendation strategy information, a second control instruction for adjusting the operating state of the target temperature-controlled device is generated, and the second control instruction is sent to the target temperature-controlled device.
6. The method according to claim 1, characterized in that After inputting the operating parameters into the pre-built digital twin model, simulating the operating process of the target temperature control device by the digital twin model, and obtaining the first simulation state data, the method further includes: Displaying a three-dimensional model of multiple components included in the temperature control device on a monitoring interface; The operating parameters and / or the first simulation state data are displayed on a three-dimensional model of a corresponding component.
7. The method according to claim 6, characterized in that After displaying the three-dimensional models of the multiple components included in the temperature control device on the monitoring interface, the method further includes: In response to acquiring corresponding configuration information from a configuration interface corresponding to the three-dimensional model of the target component, generating a third control instruction for controlling the target component based on the configuration information; The third control instruction is sent to the target temperature control device.
8. A temperature control equipment management device, characterized in that: The device comprises: A receiving module, used to receive the operating parameters sent by the target temperature control device; A first simulation module, used for inputting the operating parameters into a pre-built digital twin model, and simulating the operating process of the target temperature control device by the digital twin model to obtain first simulation state data; An evaluation module, used to evaluate the first simulation state data based on a preset state evaluation rule to obtain a state evaluation result; The first generating module is used to generate a first control instruction for adjusting the operating state of the target temperature control device based on the state evaluation result, and send the first control instruction to the target temperature control device.
9. A temperature control equipment management system, characterized in that: The system includes: a control device and a temperature control device, the control device and the temperature control device are communicatively connected, and the control device is used to execute the temperature control device management method according to any one of claims 1 to 7 to control the temperature control device.
10. An electronic device, characterized in that: include: Memory for storing computer programs; A processor is used to execute the computer program stored in the memory, and when the computer program is executed, the temperature control equipment management method described in any one of claims 1 to 7 is implemented.
11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the temperature control equipment management method described in any one of claims 1 to 7 is implemented.