Embedded heat meter remote control method and related equipment

Abstract

The present invention discloses a remote control method for an embedded heat meter and related equipment. The method comprises: when the embedded heat meter obtains the existence of a target household user terminal nearby, the collected heating parameters of the target household unit are sent to at least one target household user terminal associated with the target household unit, the embedded heat meter pre-establishes a short-range communication link with at least one target household user terminal associated with the target household unit, and the heating parameters include in-and-out flow rate and in-and-out water temperature; the target household user terminal calculates the heat and cost based on the heating parameters; the target household user terminal remotely sends the collected heating parameters and the calculated heat and cost to a remote server through the network to which the target household belongs. It can solve the problems that the manufacturing cost of intelligent and remotely controlled heat meters is high, the maintenance cost increases due to the complexity of the internal circuit, and it is difficult for residents or heating companies to bear the cost.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of computers, and more specifically, the present invention relates to a remote control method for an embedded heat meter and related equipment. Background Art

[0002] Heat meters are mainly used to measure the actual amount of heat consumed by users. Through heat meters, heating companies can accurately record the amount of heat used by each user, so as to charge according to the actual consumption, avoiding the unfair phenomenon of charging by area or per capita in the past. Through heat meters, users can pay according to the actual amount of heat used. This billing method is more fair, avoiding the problem of "more use, less payment, less use, more payment" under traditional heating methods, and improving user satisfaction and enthusiasm. The use of heat meters prompts users to pay more attention to their own heat consumption, and then take measures to reduce unnecessary heat waste. This helps to save energy and reduce emissions as a whole, and reduce the operating costs and environmental impact of central heating systems. However, the manufacturing cost of intelligent and remote-controlled heat meters is high, and the complex internal circuits lead to increased maintenance costs, which are difficult for residents or heating companies to bear. Summary of the invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0004] In order to solve the problem that the manufacturing cost of intelligent and remote-controlled heat meters is high, the internal circuit is complex, resulting in increased maintenance costs, and it is difficult for residents or heating companies to bear the cost, in the first aspect, the present invention proposes a remote control method for an embedded heat meter, the method comprising:

[0005] When the embedded heat meter obtains that there is a target household user terminal nearby, the collected heating parameters of the target household unit are sent to at least one target household user terminal associated with the target household unit, and the embedded heat meter has previously established a short-range communication link with at least one target household user terminal associated with the target household unit, and the heating parameters include inlet and outlet flow rate and inlet and outlet water temperature;

[0006] The target household user terminal calculates the heat and cost based on the heating parameters;

[0007] The target household user terminal remotely sends the collected heating parameters and the calculated heat and cost to the remote server through the network to which the target household belongs.

[0008] Optionally, also include:

[0009] In the case where the short-range communication links between the embedded heat meter and all target resident user terminals associated with the at least one target resident user terminal are disconnected, the embedded heat meter periodically sends a short-range communication request to the subordinate area of ​​the target resident unit;

[0010] When the embedded heat meter does not receive the short-range communication feedback message sent by the target household user terminal after a preset period, the embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit.

[0011] Optionally, in a multi-story residential building, each floor of the residential building includes a plurality of household units, each household unit is associated with an embedded heat meter, and the plurality of embedded heat meters in the residential building on each floor include a main embedded heat meter and a plurality of sub-embedded heat meters, and the method further includes:

[0012] The sub-embedded heat meter sends the collected heating parameters and identity information of the target household unit to the main embedded heat meter of the residence on the same floor through short-range communication;

[0013] The main embedded heat meter calculates the heat and cost based on the heating parameters;

[0014] The calculated heat and cost obtained by the main embedded heat meter are fed back to the sub-embedded heat meter associated with the identity information, so that the calculated heat and cost are displayed in the sub-embedded heat meter.

[0015] Optionally, the main embedded heat meter is capable of long-range communication, and the sub-embedded heat meter is only capable of short-range communication, and the method further includes:

[0016] The main embedded heat meter sends the calculated heat and cost together with the identity information of the sub-embedded heat meter associated with the calculated heat and cost to the remote server.

[0017] Optionally, also include:

[0018] When the sub-embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit, the main embedded heat meter on the same floor periodically obtains the location request of the target household user terminal associated with the target household unit to obtain the location information of the target household user;

[0019] The sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the user location information of the target household.

[0020] Optionally, the sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the target household user location information, including:

[0021] Obtaining a movement trajectory of the target resident user based on periodically acquired target resident user location information analysis;

[0022] When the movement trajectory indicates that the target household user moves toward the target household unit, the opening degree of the heating regulating valve of the target household unit is controlled to supply heat to the target household unit.

[0023] Optionally, when the movement trajectory indicates that the target household user moves toward the target household unit, controlling the opening of the heating regulating valve of the target household unit to provide heat to the target household unit includes:

[0024] Predicting the time when the target resident user arrives at the target resident unit based on the movement trajectory, calculating the time required to reach a preset temperature and determining the execution time of controlling the heating regulating valve of the target resident unit to heat the target resident unit;

[0025] At the execution time, the opening degree of the heating regulating valve of the target dwelling unit is controlled to provide heat to the target dwelling unit.

[0026] In a second aspect, the present invention further provides an embedded heat meter remote control system, comprising:

[0027] A collection unit, configured to send the collected heating parameters of the target household unit to at least one target household user terminal associated with the target household unit when the embedded heat meter obtains that there is a target household user terminal nearby, wherein the embedded heat meter establishes a short-range communication link with at least one target household user terminal associated with the target household unit in advance, and the heating parameters include inlet and outlet flow rates and inlet and outlet water temperatures;

[0028] A calculation unit, used for the target household user terminal to calculate heat and cost based on the heating parameters;

[0029] The sending unit is used for the target household user end to remotely send the collected heating parameters and the calculated heat and cost obtained by calculation to the remote server through the network to which the target household belongs.

[0030] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the remote control method for an embedded heat meter as described in any one of the first aspects above when executing the computer program stored in the memory.

[0031] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the remote control method for an embedded heat meter according to any one of the above items in the first aspect is implemented.

[0032] In summary, the embedded heat meter remote control method proposed in the present application, when the embedded heat meter obtains the existence of a target resident user terminal nearby, sends the collected heating parameters of the target resident unit to at least one target resident user terminal associated with the target resident unit, the embedded heat meter pre-establishes a short-range communication link with at least one target resident user terminal associated with the target resident unit, the heating parameters include the in-and-out flow rate and the in-and-out water temperature; the target resident user terminal calculates the heat and cost based on the heating parameters; the target resident user terminal remotely sends the collected heating parameters and the calculated heat and cost to the remote server through the network to which the target resident belongs. By simplifying the design of the heat meter and removing the high-cost smart chip and data communication card, the hardware manufacturing cost is significantly reduced. The internal structure of the heat meter is simplified, the failure rate is reduced, and the maintenance cost is correspondingly reduced. The complex parameter calculation and remote communication functions are transferred to the user's mobile phone, and the computing power and network resources of the mobile phone are used to improve the flexibility and scalability of the system. The application achieves function expansion and performance improvement through software updates, without the need to replace hardware equipment, which is convenient for maintenance and upgrading. Users can view their heating usage and costs in real time through the application, which enhances transparency and user participation. Based on the user's heating data, personalized energy-saving suggestions and reports are provided to improve user satisfaction. The heating company can monitor the operation of the entire heating system in real time, discover and solve problems in a timely manner, and improve the operating efficiency and stability of the system. Through big data analysis, the scheduling and management of the heating system are optimized, the energy utilization efficiency is improved, and the effect of energy conservation and emission reduction is achieved.

[0033] The embedded heat meter remote control method of the present invention, other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will be understood by technicians in this field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0035] Figure 1 A schematic flow chart of a remote control method for an embedded heat meter provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of the structure of an embedded heat meter remote control system provided in an embodiment of the present application;

[0037] Figure 3 A schematic diagram of the structure of an embedded heat meter remote control electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0039] In order to solve the problem that the manufacturing cost of intelligent and remote-controlled heat meters is high, the internal circuit is complex, resulting in increased maintenance costs, and it is difficult for residents or heating companies to bear the cost, please refer to Figure 1 , is a flow chart of a remote control method for an embedded heat meter provided in an embodiment of the present application, which may specifically include: steps S110 to S130.

[0040] S110, when the embedded heat meter obtains the existence of a target household user terminal nearby, the collected heating parameters of the target household unit are sent to at least one target household user terminal associated with the target household unit. The embedded heat meter has established a short-range communication link with at least one target household user terminal associated with the target household unit in advance. The heating parameters include inlet and outlet flow rates and inlet and outlet water temperatures.

[0041] For example, high-precision flow sensors and temperature sensors are installed at the water inlet and outlet of the heating pipe to collect flow and temperature data in real time. A built-in low-power Bluetooth (BLE) or ZigBee module is used to establish a short-range communication link with the resident's smartphone to ensure stable data transmission. The real-time collected heating parameters (inlet and outlet flow rate and inlet and outlet water temperature) are sent to the target resident's smartphone via the short-range communication link.

[0042] S120, the target household user terminal calculates the heat and cost based on the heating parameters.

[0043] For example, a heating company can develop a dedicated smartphone application that users can download and install through an app store. Users register through the application and bind it to the heat meter at home to establish a short-range communication link. The application continuously receives the heating parameters sent by the heat meter and calculates the heat and cost.

[0044] S130, the target household user terminal remotely sends the collected heating parameters and the calculated heat and cost to the remote server through the network to which the target household belongs.

[0045] For example, the application uploads the calculated heating parameters and heat costs to the remote server of the heating company through the mobile phone network. Advanced encryption technology (such as AES encryption) can be used to encrypt the transmitted data to ensure the security of the data during transmission. The server system monitors the received heating parameters and cost data in real time and detects abnormal situations in time. Big data analysis technology can be used to conduct in-depth analysis of the collected data, optimize the operation of the heating system, and improve energy efficiency. Based on the data analysis results, personalized energy-saving suggestions and heat usage reports can be provided to users to improve user satisfaction.

[0046] In summary, the embedded heat meter remote control method provided by the embodiment of the present application, when the embedded heat meter obtains the existence of a target resident user terminal nearby, the collected heating parameters of the target resident unit are sent to at least one target resident user terminal associated with the target resident unit, the embedded heat meter pre-establishes a short-range communication link with at least one target resident user terminal associated with the target resident unit, and the heating parameters include the in-and-out flow rate and the in-and-out water temperature; the target resident user terminal calculates the heat and cost based on the heating parameters; the target resident user terminal remotely sends the collected heating parameters and the calculated heat and cost to the remote server through the network to which the target resident belongs. By simplifying the design of the heat meter and removing the high-cost smart chip and data communication card, the hardware manufacturing cost is significantly reduced. The internal structure of the heat meter is simplified, the failure rate is reduced, and the maintenance cost is correspondingly reduced. The complex parameter calculation and remote communication functions are transferred to the user's mobile phone, and the computing power and network resources of the mobile phone are used to improve the flexibility and scalability of the system. The application achieves function expansion and performance improvement through software updates, without the need to replace hardware equipment, which is convenient for maintenance and upgrading. Users can view their heating usage and costs in real time through the application, which enhances transparency and user participation. Based on the user's heating data, personalized energy-saving suggestions and reports are provided to improve user satisfaction. The heating company can monitor the operation of the entire heating system in real time, discover and solve problems in a timely manner, and improve the operating efficiency and stability of the system. Through big data analysis, the scheduling and management of the heating system are optimized, the energy utilization efficiency is improved, and the effect of energy conservation and emission reduction is achieved.

[0047] According to some embodiments, further comprising:

[0048] In the case where the short-range communication links between the embedded heat meter and all target resident user terminals associated with the at least one target resident user terminal are disconnected, the embedded heat meter periodically sends a short-range communication request to the subordinate area of ​​the target resident unit;

[0049] When the embedded heat meter does not receive the short-range communication feedback message sent by the target household user terminal after a preset period, the embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit.

[0050] Exemplarily, the embedded heat meter is designed to periodically send short-range communication requests to the area under the jurisdiction of the target household unit at a fixed time interval, in order to check whether there is a target household user terminal online and able to receive data. The request contains the identification information of the heat meter and the data request instruction, requiring the target household user terminal to respond. The embedded heat meter waits for the communication feedback message of the target household user terminal. If no feedback is received within the preset time period, the system will regard the target household user terminal as offline or unable to work normally. For example, the embedded heat meter of the target resident B periodically sends a short-range communication request, but the smartphone application of the target resident B fails to receive the request due to network failure or device shutdown. Within the preset time period, the embedded heat meter did not receive any communication feedback message from the target resident B. The embedded heat meter determines that the target resident B is not online, and controls the heating regulating valve to disconnect the heating to the target resident B to prevent energy waste. Therefore, by detecting the online status of the user device, the heating valve is automatically controlled to prevent unnecessary energy consumption when the user is not online, thereby realizing intelligent energy saving. If the target resident user fails to communicate normally, the system automatically disconnects the heating to prevent potential misuse and waste of resources. Users can view the heating status and history records in real time through their smartphones to understand their own heating situation and enhance their user experience and satisfaction. When the heating is disconnected, the system can send a notification to the user to remind the user to check the device status and restore normal heating in time. When the smartphone application of the target resident B returns to normal and re-establishes the short-range communication link, the embedded heat meter receives the communication feedback message and resumes heating to the target resident B. In the absence of a communication feedback message, the embedded heat meter controls the heating regulating valve of the target resident unit to disconnect the heating to the resident unit to prevent energy waste and ensure system safety.

[0051] In some examples, each residential floor includes a plurality of household units, each household unit is associated with an embedded heat meter, and the plurality of embedded heat meters on each residential floor include a main embedded heat meter and a plurality of sub-embedded heat meters, and the method further includes:

[0052] The sub-embedded heat meter sends the collected heating parameters and identity information of the target household unit to the main embedded heat meter of the residence on the same floor through short-range communication;

[0053] The main embedded heat meter calculates the heat and cost based on the heating parameters;

[0054] The calculated heat and cost obtained by the main embedded heat meter are fed back to the sub-embedded heat meter associated with the identity information, so that the calculated heat and cost are displayed in the sub-embedded heat meter.

[0055] Exemplary, household A: main embedded heat meter; household B, C, D: sub-embedded heat meter operation process, household B, C, D: respective sub-embedded heat meters collect heating parameters (flow and temperature) in real time, and attach their respective identity information. Sub-embedded heat meter (household B, C, D): send the collected data to the main embedded heat meter (household A) through short-range communication (such as low-power Bluetooth or ZigBee). Main embedded heat meter (household A): after receiving the data from households B, C, D, calculate the heat and cost based on these heating parameters. Main embedded heat meter (household A): feedback the calculation results (heat and cost) to each corresponding sub-embedded heat meter (household B, C, D) through short-range communication. Sub-embedded heat meter (household B, C, D): after receiving the calculation results, display the heat and cost on their respective display screens for users to view. As a result, only one main embedded heat meter is set up on each floor of the house, reducing the number of smart chips and significantly reducing hardware costs. Complex calculations are concentrated in the main embedded heat meter, and the sub-embedded heat meter is only responsible for data collection and transmission, reducing equipment complexity and maintenance costs. The main embedded heat meter centrally processes intelligent calculation functions to ensure the accuracy and consistency of calculations and improve the overall efficiency of the system. Through short-range communication technology, the stability and reliability of data transmission are ensured, and data loss and errors are reduced. The sub-embedded heat meter displays heating information in real time, and residents can check heating conditions and costs at any time, improving transparency and user satisfaction. The heating company centrally manages heating data through a remote server, optimizes the operation of the heating system, and improves service quality.

[0056] In some examples, the main embedded heat meter is capable of long-range communication, and the sub-embedded heat meter is only capable of short-range communication, and the method further includes:

[0057] The main embedded heat meter sends the calculated heat and cost together with the identity information of the sub-embedded heat meter associated with the calculated heat and cost to the remote server.

[0058] For example, the main embedded heat meter sends the calculated heat and cost together with the identification information of each sub-embedded heat meter to the remote server of the heating company through the mobile network or a dedicated data communication module. As a result, only one main embedded heat meter is set up in each residential floor, reducing the number of communication chips of the communication operator, significantly reducing the hardware cost and the billing cost of the communication operator. Complex calculations are concentrated in the main embedded heat meter, and the sub-embedded heat meter is only responsible for data collection and transmission, reducing equipment complexity and maintenance costs.

[0059] In some examples, this also includes:

[0060] When the sub-embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit, the main embedded heat meter on the same floor periodically obtains the location request of the target household user terminal associated with the target household unit to obtain the location information of the target household user;

[0061] The sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the user location information of the target household.

[0062] In some examples, the sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the target household user location information, including:

[0063] Obtaining a movement trajectory of the target resident user based on periodically acquired target resident user location information analysis;

[0064] When the movement trajectory indicates that the target household user moves toward the target household unit, the opening degree of the heating regulating valve of the target household unit is controlled to supply heat to the target household unit.

[0065] For example, when resident B is away from home for a long time, the sub-embedded heat meter controls the heating regulating valve of resident B's unit to disconnect heating to it, saving energy. Main embedded heat meter (resident A): periodically obtains the location information of resident B, and obtains the user location information through short-range communication with resident B's smartphone. Based on the acquired location information, analyze the movement trajectory of resident B. When the trajectory indicates that resident B is moving towards his resident unit, the main embedded heat meter will take action. When it is confirmed that resident B is moving towards his resident unit, the main embedded heat meter controls the opening of the heating regulating valve to resume heating to resident B, ensuring that the room temperature is suitable when resident B returns home. In this way, the number of smart chips is reduced: only one main embedded heat meter is set up on each floor of the house, reducing the number of smart chips and the number of communication chips of communication operators, significantly reducing hardware costs and communication operator billing costs. Complex calculations are concentrated on the main embedded heat meter, and the sub-embedded heat meter is only responsible for data collection and transmission, reducing equipment complexity and maintenance costs. The main embedded heat meter centrally processes intelligent computing functions to ensure the accuracy and consistency of calculations and improve the overall efficiency of the system. Through short-distance communication technology, the stability and reliability of data transmission are ensured, and data loss and errors are reduced. The embedded heat meter displays heating information in real time, and residents can check heating conditions and costs at any time, improving transparency and user satisfaction. Through location tracking and movement trajectory analysis, the system can automatically resume heating when the user is about to return home, improving user experience and comfort. Automatically disconnect heating when the user is not at home to reduce energy waste. Resume heating according to the user's movement trajectory to achieve precise heating and improve energy efficiency.

[0066] In some examples, when the movement trajectory indicates that the target household user moves toward the target household unit, controlling the opening of the heating regulating valve of the target household unit to heat the target household unit includes:

[0067] Predicting the time when the target resident user arrives at the target resident unit based on the movement trajectory, calculating the time required to reach a preset temperature and determining the execution time of controlling the heating regulating valve of the target resident unit to heat the target resident unit;

[0068] At the execution time, the opening degree of the heating regulating valve of the target dwelling unit is controlled to provide heat to the target dwelling unit.

[0069] Exemplarily, the remote server performs heating demand forecasting by fusing a variational autoencoder (VAE) and a graph convolutional network (GCN).

[0070] Specifically, first, use VAE to model the data, detect and process abnormal data, and generate high-quality data for feature extraction. VAE trains the model by maximizing the marginal likelihood:

[0071] logp(x)≥Eq(z∣x)[logp(x∣z)]-KL(q(z∣x)∣∣p(z))

[0072] Where: x is the flow data V, inlet and outlet water temperature T in and T out ; z is the latent variable; q(z|x) is the approximate posterior distribution, p(x|z) is the generative distribution, and KL is the KL divergence. The data (z) processed by VAE is used as high-quality feature input, and other heating parameter data, user behavior data, environmental data, etc. are integrated.

[0073] Secondly, the household units of the heating system are taken as nodes in the graph, and the pipelines and heat sources are taken as edges to construct the graph structure of the heating system. GCN is used to process the graph structure data and extract spatial correlation features. The forward propagation formula of GCN is:

[0074] H (l+1) =σ(D -1 / 2 AD -1 / 2 H (l) W (l) )

[0075] Where: H (l) is the node feature matrix of the lth layer, A represents the position relationship between household units in the heating system, D represents the number of connections of each node, and W (l)is the weight matrix of the lth layer, and σ is the activation function. The node feature matrix (H) processed by GCN is used as an additional spatial feature input and fused with the features extracted by VAE and other data.

[0076] Then, the features extracted by VAE, the spatial correlation features captured by GCN, and the classic time series models (such as ARIMA) are combined for joint prediction to improve the accuracy and stability of the prediction. The features extracted by VAE and GCN are merged with time series data (such as historical heat data, environmental data, etc.) to form a complete feature set. The merged feature set is predicted using LSTM and ARIMA models.

[0077] Assume y LSTM is the prediction result of the LSTM model, y ARIMA is the prediction result of the ARIMA model, and the final fusion prediction result is yfinaly:

[0078] y final =α·y LSTM +(1-α)·y ARIMAy

[0079] Among them, α is the weight coefficient, which can be optimized through historical data. The features extracted by VAE and GCN are used as the input of LSTM and ARIMA for joint prediction.

[0080] Finally, reinforcement learning (such as Deep Q-Learning) is used to optimize the prediction model to improve the robustness and flexibility of the prediction. The heating system is regarded as a reinforcement learning environment, and the state, action and reward functions are defined. The prediction model is trained using the Deep Q-Learning algorithm, and the model is continuously optimized through the reward mechanism. The Q value update formula is:

[0081] Q(s,a)=Q(s,a)+α(r+γmax a′ Q(s′,a′)-Q(s,a))

[0082] Where: s is the current heating parameter flow data V, inlet and outlet water temperature T in and T out , and historical heat demand data, a is the predicted heat demand, r is the reward given according to the prediction accuracy, α is the learning rate, and γ is the discount factor. Deep Q-Learning uses the results of comprehensive predictions (such as y final) is optimized and the prediction model is adjusted through the reward mechanism. The results of VAE, GCN, LSTM, ARIMA and Deep Q-Learning are combined to make the final heating demand prediction and decision. VAE can automatically extract the features of complex data, reduce the workload of manual feature engineering, and improve the accuracy of prediction. GCN can capture the complex relationship between nodes in the heating system and improve the stability of prediction. Through the reward mechanism of Deep Q-Learning, the prediction model is optimized to improve the robustness and flexibility of the prediction. Combined with user behavior data, personalized heating services are provided to meet the diverse needs of users.

[0083] See also Figure 2 , an embodiment of the embedded heat meter remote control system in the embodiment of the present application may include:

[0084] The collecting unit 21 is used for sending the collected heating parameters of the target household unit to at least one target household user terminal associated with the target household unit when the embedded heat meter obtains that there is a target household user terminal nearby, wherein the embedded heat meter has established a short-range communication link with at least one target household user terminal associated with the target household unit in advance, and the heating parameters include inlet and outlet flow rate and inlet and outlet water temperature;

[0085] A calculation unit 22, used for the target household user terminal to calculate heat and cost based on the heating parameters;

[0086] The sending unit 23 is used for the target household user terminal to remotely send the collected heating parameters and the calculated heat and cost obtained by calculation to the remote server through the network to which the target household belongs.

[0087] In summary, the embedded heat meter remote control system provided by the embodiment of the present application sends the collected heating parameters of the target household unit to at least one target household user terminal associated with the target household unit when the embedded heat meter obtains the existence of a target household user terminal nearby. The embedded heat meter establishes a short-range communication link with at least one target household user terminal associated with the target household unit in advance, and the heating parameters include the in-and-out flow rate and the in-and-out water temperature; the target household user terminal calculates the heat and cost based on the heating parameters; the target household user terminal remotely sends the collected heating parameters and the calculated heat and cost obtained by calculation to the remote server through the network to which the target resident belongs. By simplifying the design of the heat meter and removing the high-cost smart chip and data communication card, the hardware manufacturing cost is significantly reduced. The internal structure of the heat meter is simplified, the failure rate is reduced, and the maintenance cost is reduced accordingly. The complex parameter calculation and remote communication functions are transferred to the user's mobile phone, and the computing power and network resources of the mobile phone are used to improve the flexibility and scalability of the system. The application achieves function expansion and performance improvement through software updates, without the need to replace hardware equipment, which is convenient for maintenance and upgrading. Users can view their heating usage and costs in real time through the application, which enhances transparency and user participation. Based on the user's heating data, personalized energy-saving suggestions and reports are provided to improve user satisfaction. The heating company can monitor the operation of the entire heating system in real time, discover and solve problems in a timely manner, and improve the operating efficiency and stability of the system. Through big data analysis, the scheduling and management of the heating system are optimized, the energy utilization efficiency is improved, and the effect of energy conservation and emission reduction is achieved.

[0088] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any method for remote control of the above-mentioned embedded heat meter are implemented:

[0089] When the embedded heat meter obtains that there is a target household user terminal nearby, the collected heating parameters of the target household unit are sent to at least one target household user terminal associated with the target household unit, and the embedded heat meter has previously established a short-range communication link with at least one target household user terminal associated with the target household unit, and the heating parameters include inlet and outlet flow rate and inlet and outlet water temperature;

[0090] The target household user terminal calculates the heat and cost based on the heating parameters;

[0091] The target household user terminal remotely sends the collected heating parameters and the calculated heat and cost to the remote server through the network to which the target household belongs.

[0092] Optionally, also include:

[0093] In the case where the short-range communication links between the embedded heat meter and all target resident user terminals associated with the at least one target resident user terminal are disconnected, the embedded heat meter periodically sends a short-range communication request to the subordinate area of ​​the target resident unit;

[0094] When the embedded heat meter does not receive the short-range communication feedback message sent by the target household user terminal after a preset period, the embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit.

[0095] Optionally, in a multi-story residential building, each floor of the residential building includes a plurality of household units, each household unit is associated with an embedded heat meter, and the plurality of embedded heat meters in the residential building on each floor include a main embedded heat meter and a plurality of sub-embedded heat meters, and the method further includes:

[0096] The sub-embedded heat meter sends the collected heating parameters and identity information of the target household unit to the main embedded heat meter of the residence on the same floor through short-range communication;

[0097] The main embedded heat meter calculates the heat and cost based on the heating parameters;

[0098] The calculated heat and cost obtained by the main embedded heat meter are fed back to the sub-embedded heat meter associated with the identity information, so that the calculated heat and cost are displayed in the sub-embedded heat meter.

[0099] Optionally, the main embedded heat meter is capable of long-range communication, and the sub-embedded heat meter is only capable of short-range communication, and the method further includes:

[0100] The main embedded heat meter sends the calculated heat and cost together with the identity information of the sub-embedded heat meter associated with the calculated heat and cost to the remote server.

[0101] Optionally, also include:

[0102] When the sub-embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit, the main embedded heat meter on the same floor periodically obtains the location request of the target household user terminal associated with the target household unit to obtain the location information of the target household user;

[0103] The sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the user location information of the target household.

[0104] Optionally, the sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the target household user location information, including:

[0105] Obtaining a movement trajectory of the target resident user based on periodically acquired target resident user location information analysis;

[0106] When the movement trajectory indicates that the target household user moves toward the target household unit, the opening degree of the heating regulating valve of the target household unit is controlled to supply heat to the target household unit.

[0107] Since the electronic device introduced in this embodiment is a device used to implement an embedded heat meter remote control system in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0108] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation method in the corresponding embodiment:

[0109] When the embedded heat meter obtains that there is a target household user terminal nearby, the collected heating parameters of the target household unit are sent to at least one target household user terminal associated with the target household unit, and the embedded heat meter has previously established a short-range communication link with at least one target household user terminal associated with the target household unit, and the heating parameters include inlet and outlet flow rate and inlet and outlet water temperature;

[0110] The target household user terminal calculates the heat and cost based on the heating parameters;

[0111] The target household user terminal remotely sends the collected heating parameters and the calculated heat and cost to the remote server through the network to which the target household belongs.

[0112] Optionally, also include:

[0113] In the case where the short-range communication links between the embedded heat meter and all target resident user terminals associated with the at least one target resident user terminal are disconnected, the embedded heat meter periodically sends a short-range communication request to the subordinate area of ​​the target resident unit;

[0114] When the embedded heat meter does not receive the short-range communication feedback message sent by the target household user terminal after a preset period, the embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit.

[0115] Optionally, in a multi-story residential building, each floor of the residential building includes a plurality of household units, each household unit is associated with an embedded heat meter, and the plurality of embedded heat meters in the residential building on each floor include a main embedded heat meter and a plurality of sub-embedded heat meters, and the method further includes:

[0116] The sub-embedded heat meter sends the collected heating parameters and identity information of the target household unit to the main embedded heat meter of the residence on the same floor through short-range communication;

[0117] The main embedded heat meter calculates the heat and cost based on the heating parameters;

[0118] The calculated heat and cost obtained by the main embedded heat meter are fed back to the sub-embedded heat meter associated with the identity information, so that the calculated heat and cost are displayed in the sub-embedded heat meter.

[0119] Optionally, the main embedded heat meter is capable of long-range communication, and the sub-embedded heat meter is only capable of short-range communication, and the method further includes:

[0120] The main embedded heat meter sends the calculated heat and cost together with the identity information of the sub-embedded heat meter associated with the calculated heat and cost to the remote server.

[0121] Optionally, also include:

[0122] When the sub-embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit, the main embedded heat meter on the same floor periodically obtains the location request of the target household user terminal associated with the target household unit to obtain the location information of the target household user;

[0123] The sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the user location information of the target household.

[0124] Optionally, the sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the target household user location information, including:

[0125] Obtaining a movement trajectory of the target resident user based on periodically acquired target resident user location information analysis;

[0126] When the movement trajectory indicates that the target household user moves toward the target household unit, the opening degree of the heating regulating valve of the target household unit is controlled to supply heat to the target household unit.

[0127] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0128] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0129] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0130] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0131] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0132] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of remote control of the embedded heat meter in the corresponding embodiment.

[0133] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0134] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0135] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0136] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0137] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0138] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0139] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A remote control method for an embedded heat meter, characterized in that: include: When the embedded heat meter obtains that there is a target household user terminal nearby, the collected heating parameters of the target household unit are sent to at least one target household user terminal associated with the target household unit, and the embedded heat meter has previously established a short-range communication link with at least one target household user terminal associated with the target household unit, and the heating parameters include inlet and outlet flow rate and inlet and outlet water temperature; The target household user terminal calculates the heat and cost based on the heating parameters; The target resident user terminal remotely sends the collected heating parameters and the calculated heat and cost to the remote server through the target resident's network; Wherein, in a multi-story residential building, each residential floor includes a plurality of household units, each household unit is associated with an embedded heat meter, and the plurality of embedded heat meters in each residential floor include a main embedded heat meter and a plurality of sub-embedded heat meters, and the method further includes: The sub-embedded heat meter sends the collected heating parameters and identity information of the target household unit to the main embedded heat meter of the residence on the same floor through short-range communication; The main embedded heat meter calculates the heat and cost based on the heating parameters; The calculated heat and cost obtained by the main embedded heat meter are fed back to the sub-embedded heat meter associated with the identity information, so that the calculated heat and cost are displayed in the sub-embedded heat meter.

2. The method according to claim 1, characterized in that Also includes: In the case where the short-range communication links between the embedded heat meter and all target resident user terminals associated with the at least one target resident user terminal are disconnected, the embedded heat meter periodically sends a short-range communication request to the subordinate area of ​​the target resident unit; When the embedded heat meter does not receive the short-range communication feedback message sent by the target household user terminal after a preset period, the embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit.

3. The method according to claim 1, characterized in that The main embedded heat meter is capable of long-range communication, and the sub-embedded heat meter is only capable of short-range communication, and the method further comprises: The main embedded heat meter sends the calculated heat and cost together with the identity information of the sub-embedded heat meter associated with the calculated heat and cost to the remote server.

4. The method according to claim 3, characterized in that Also includes: When the sub-embedded heat meter controls the heating regulating valve of the target household unit to cut off the heating to the target household unit, the main embedded heat meter on the same floor periodically obtains the location request of the target household user terminal associated with the target household unit to obtain the location information of the target household user; The sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the user location information of the target household.

5. The method according to claim 4, characterized in that The sub-embedded heat meter controls the state of the heating regulating valve of the target household unit based on the target household user location information, including: Obtaining a movement trajectory of the target resident user based on periodically acquired target resident user location information analysis; When the movement trajectory indicates that the target household user moves toward the target household unit, the opening degree of the heating regulating valve of the target household unit is controlled to supply heat to the target household unit.

6. The method according to claim 5, characterized in that When the movement trajectory indicates that the target household user moves toward the target household unit, controlling the opening of the heating regulating valve of the target household unit to provide heat to the target household unit includes: Predicting the time when the target resident user arrives at the target resident unit based on the movement trajectory, calculating the time required to reach a preset temperature and determining the execution time of controlling the heating regulating valve of the target resident unit to heat the target resident unit; At the execution time, the opening degree of the heating regulating valve of the target dwelling unit is controlled to provide heat to the target dwelling unit.

7. An embedded heat meter remote control system, characterized in that: According to any one of claims 1 to 6, the system comprises: A collection unit, configured to send the collected heating parameters of the target household unit to at least one target household user terminal associated with the target household unit when the embedded heat meter obtains that there is a target household user terminal nearby, wherein the embedded heat meter establishes a short-range communication link with at least one target household user terminal associated with the target household unit in advance, and the heating parameters include inlet and outlet flow rates and inlet and outlet water temperatures; A calculation unit, used for the target household user terminal to calculate heat and cost based on the heating parameters; The sending unit is used for the target household user end to remotely send the collected heating parameters and the calculated heat and cost obtained by calculation to the remote server through the network to which the target household belongs.

8. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the remote control method for an embedded heat meter as described in any one of claims 1 to 6 when executing the computer program stored in the memory.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the remote control method of an embedded heat meter according to any one of claims 1 to 6 is implemented.

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