A distributed operation control method and device for a gas wall-hanging stove

Abstract

The application relates to the technical field of gas wall-hanging stoves, and discloses a distributed operation control method and device for a gas wall-hanging stove, which comprises the following steps: obtaining a first demand parameter of a user for the gas wall-hanging stove, wherein the first demand parameter is used for indicating at least one first demand of the user for the gas wall-hanging stove; for each first demand, at least one first detection item related to the first demand is determined in the gas wall-hanging stove; it is judged whether at least one second detection item exists in all first detection items of the first demand, the second detection item satisfies a preset abnormal condition, when the judgment result is yes, an abnormal control parameter of the gas wall-hanging stove for the first demand is generated according to all second detection items; and when the judgment result is no, an operation control parameter of the gas wall-hanging stove for the first demand is generated according to the first demand parameter. It can be seen that the operation control flexibility of the gas wall-hanging stove can be improved by implementing the application.

Description

Technical Field

[0001] This invention relates to the field of gas-fired wall-hung boiler technology, and in particular to a distributed operation control method and device for gas-fired wall-hung boilers. Background Technology

[0002] As the core equipment for home heating and domestic hot water supply, the intelligence and reliability of the control system of gas-fired wall-hung boilers directly affect user experience and energy efficiency.

[0003] Currently, gas wall-hung boilers are generally equipped with a large number of fault protection codes for product safety. When any fault occurs, the entire unit will shut down and lock, preventing the gas wall-hung boiler from starting and running. This makes all functions of the gas wall-hung boiler unusable for users, affecting the user experience and also putting pressure on subsequent on-site repairs.

[0004] Therefore, improving the operational and control flexibility of gas-fired wall-hung boilers is of paramount importance. Summary of the Invention

[0005] This invention provides a distributed operation control method and device for a gas-fired wall-hung boiler, which can improve the operation control flexibility of the gas-fired wall-hung boiler.

[0006] To address the aforementioned technical problems, the first aspect of this invention discloses a distributed operation control method for a gas-fired wall-hung boiler, the method comprising: Obtain the user's first demand parameter for the gas wall-hung boiler. The first demand parameter is used to indicate at least one first demand of the user for the gas wall-hung boiler. The first demand includes at least one of bathroom demand, heating demand, and drinking water demand. For each of the first requirements, at least one first detection item related to the first requirement is determined in the gas-fired wall-hung boiler; Determine whether there is at least one second detection item among all the first detection items of the first requirement, and the second detection item satisfies the preset abnormal condition. When it is determined that there is at least one second detection item among all the first detection items of the first requirement, then generate the abnormal control parameters of the gas wall-hung boiler for the first requirement based on all the second detection items. When it is determined that the second detection item does not exist among all the first detection items of the first requirement, the operating control parameters of the gas wall-hung boiler for the first requirement are generated according to the first requirement parameters.

[0007] As an optional implementation, in a first aspect of the present invention, determining whether at least one second detection item exists among all the first detection items of the first requirement includes: For each of the first detection items, it is determined whether the first detection item matches the corresponding preset first detection item. The preset first detection item includes at least one of the following: temperature sensing failure, temperature change failure, smoke temperature failure, abnormal flow failure, pressure failure, ignition failure, abnormal combustion failure, antifreeze protection failure, water pollution failure, and false triggering of safety protection device. When it is determined that the first detection item matches the corresponding preset first detection item, the first detection item is identified as the second detection item, and it is determined that at least one second detection item exists among all the first detection items of the first requirement. When it is determined that all of the first detection items do not match the corresponding preset first detection items, it is determined that there is no second detection item among all the first detection items of the first requirement.

[0008] As an optional implementation, in the first aspect of the present invention, the method further includes: Determine at least one external service zone for the gas-fired wall-hung boiler, wherein the external service zone is used to represent the service area corresponding to the gas-fired wall-hung boiler; For each external service zone, an internal operating zone in the gas-fired wall-hung boiler corresponding to the external service zone is determined, and the internal operating zone includes at least one associated component; The system senses the first partition environmental status parameters of the external service partition, the first partition operating status parameters of the internal operating partition corresponding to the external service partition, and the second demand parameters of the user for the gas wall-hung boiler for the external service partition. Based on the second requirement parameter, generate the target partition environment status parameter of the user for the external service partition and the target partition running status parameter of the internal running partition corresponding to the external service partition; Based on the target partition environment status parameters and the target partition operation status parameters, partition operation control parameters corresponding to the internal operation partition of the external service partition are generated to control the first partition operation status parameters so that the first partition environment status parameters match the target partition environment status parameters.

[0009] As an optional implementation, in the first aspect of the present invention, the method further includes: The system senses and obtains the second partition environment status parameters of the external service partition and the second partition running status parameters of the internal running partition corresponding to the external service partition. Calculate the target vector distance parameter between the second partition environment state parameter and the target partition environment state parameter, wherein the target vector distance parameter is used to represent the vector distance between the second partition environment state parameter and the target partition environment state parameter; Determine whether the target vector distance parameter matches the preset vector distance parameter. If it is determined that the target vector distance parameter does not match the preset vector distance parameter, then determine the preset operating state threshold range parameter of the internal operating partition corresponding to the external service partition. Based on the preset operating status threshold range parameter and the second partition operating status parameter, a status analysis and control parameter is generated for the internal operating partition corresponding to the external service partition. The status analysis and control parameter is used to analyze or urgently control the abnormal operating status of the internal operating partition corresponding to the external service partition.

[0010] As an optional implementation, in the first aspect of the present invention, generating state analysis and control parameters for the external service partition corresponding to the internal operating partition based on the preset operating state threshold range parameter and the second partition operating state parameter includes: Determine whether the operating status parameters of the second partition are within the preset operating status threshold range parameters; When it is determined that the second partition's operating status parameters are within the preset operating status threshold range, then a target inspection parameter corresponding to the internal operating partition of the external service partition is generated based on the second partition's operating status parameters. The target inspection parameter is used to indicate the inspection requirements of the internal operating partition corresponding to the external service partition. When it is determined that the second partition's running status parameter is not within the preset running status threshold range parameter of the internal running partition corresponding to the external service partition, an emergency control parameter is generated for the internal running partition corresponding to the external service partition. The emergency control parameter is used to shut down the running status of the internal running partition corresponding to the external service partition. The state analysis and control parameters include the target parameter to be tested or the emergency control parameter.

[0011] As an optional implementation, in the first aspect of the present invention, the method further includes: Analyze the partition layout parameters of all the aforementioned external service partitions; Obtain the user's second requirement parameters for the gas-fired wall-hung boiler across all external service zones; Based on all the second requirement parameters, generate the user's requirement overlap parameters for all the external service zones of the gas wall-hung boiler; Based on the partition layout parameters and the demand overlap parameters, the collaboration relationship parameters between each of the external service partitions are analyzed. The collaboration relationship parameters are used to represent the degree of dependency or conflict between the external service partitions. The collaboration relationship parameters include at least one of the following: geographical location association parameters, functional complementarity association parameters, and resource competition association parameters between the external service partitions. Based on the collaborative relationship parameters, adjust the partition operation control parameters of each external service partition corresponding to the internal running partition; And, the step of adjusting the partition operation control parameters of each external service partition corresponding to the internal running partition according to the collaboration relationship parameters includes: Based on the collaboration relationship parameters, all external service partitions are divided into a set of dependent service partitions and a set of conflicting service partitions. Each external service partition has a corresponding relationship degree identifier, which is used to indicate the degree of dependency or conflict between the external service partition and other external service partitions. Based on the fact that there is a corresponding relationship degree identifier for each of the dependent service partition set, the conflicting service partition set, and each of the external service partitions, an operation control priority is generated for each of the external service partitions corresponding to the internal running partition. The operation control priority of each of the external service partitions in the dependent service partition set corresponding to the internal running partition is relatively higher than the operation control priority of each of the external service partitions in the conflicting service partition set corresponding to the internal running partition. Based on all the stated operational control priorities, adjust the partition operational control parameters of each external service partition corresponding to the internal operational partition.

[0012] As an optional implementation, in the first aspect of the present invention, the method further includes: Obtain the user's historical demand parameters for the gas wall-hung boiler, the historical demand parameters corresponding to the first demand parameters; Analyze the user's demand habit parameters based on the historical demand parameters; Based on the aforementioned demand habit parameters, predict the potential demand parameters of the user within a preset future time period; Based on the potential demand parameters, preliminary operation control parameters for the gas-fired wall-hung boiler are generated to schedule the operating resources of the gas-fired wall-hung boiler corresponding to the potential demand parameters.

[0013] A second aspect of this invention discloses a distributed operation control device for a gas-fired wall-hung boiler, the device comprising: The acquisition module is used to acquire the user's first demand parameters for the gas wall-hung boiler. The first demand parameters are used to indicate at least one first demand of the user for the gas wall-hung boiler. The first demand includes at least one of bathroom demand, heating demand, and drinking water demand. The determining module is configured to, for each of the first requirements, determine at least one first detection item in the gas-fired wall-hung boiler that is associated with the first requirement; The judgment module is used to determine whether there is at least one second detection item among all the first detection items of the first requirement, and the second detection item satisfies a preset abnormal condition; The generation module is used to generate abnormal control parameters for the gas wall-hung boiler for the first requirement based on all the second detection items when the judgment module determines that at least one second detection item exists among all the first detection items of the first requirement. The generation module is further configured to generate the operating control parameters of the gas wall-hung boiler for the first requirement based on the first requirement parameters when the judgment module determines that the second detection item does not exist among all the first detection items of the first requirement.

[0014] As an optional implementation, in a second aspect of the present invention, the specific method by which the determining module determines whether at least one second detection item exists among all the first detection items of the first requirement includes: For each of the first detection items, it is determined whether the first detection item matches the corresponding preset first detection item. The preset first detection item includes at least one of the following: temperature sensing failure, temperature change failure, smoke temperature failure, abnormal flow failure, pressure failure, ignition failure, abnormal combustion failure, antifreeze protection failure, water pollution failure, and false triggering of safety protection device. When it is determined that the first detection item matches the corresponding preset first detection item, the first detection item is identified as the second detection item, and it is determined that at least one second detection item exists among all the first detection items of the first requirement. When it is determined that all of the first detection items do not match the corresponding preset first detection items, it is determined that there is no second detection item among all the first detection items of the first requirement.

[0015] As an optional implementation, in a second aspect of the present invention, the determining module is further configured to determine at least one external service zone of the gas-fired wall-hung boiler, the external service zone being used to represent the service area corresponding to the gas-fired wall-hung boiler; The determining module is further configured to determine, for each external service partition, the internal operating partition in the gas-fired wall-hung boiler corresponding to that external service partition, wherein the internal operating partition includes at least one associated component; The device also includes: The sensing module is used to sense the first partition environmental status parameters of the external service partition, the first partition operating status parameters of the internal operating partition corresponding to the external service partition, and the second demand parameters of the user for the gas wall-hung boiler for the external service partition. The generation module is further configured to generate, based on the second requirement parameters, the target partition environment status parameters of the user for the external service partition and the target partition running status parameters of the internal running partition corresponding to the external service partition; The generation module is further configured to generate partition operation control parameters for the external service partition corresponding to the internal running partition based on the target partition environment state parameters and the target partition running state parameters, so as to control the first partition running state parameters so that the first partition environment state parameters match the target partition environment state parameters.

[0016] As an optional implementation, in a second aspect of the present invention, the sensing module is further configured to sense and acquire the second partition environment status parameters of the external service partition and the second partition running status parameters of the internal running partition corresponding to the external service partition; The device also includes: The calculation module is used to calculate the target vector distance parameter between the second partition environment state parameter and the target partition environment state parameter, wherein the target vector distance parameter is used to represent the vector distance between the second partition environment state parameter and the target partition environment state parameter; The judgment module is also used to determine whether the target vector distance parameter matches the preset vector distance parameter; The determining module is further configured to determine the preset operating state threshold range parameter of the internal operating partition corresponding to the external service partition when the judging module determines that the target vector distance parameter does not match the preset vector distance parameter; The generation module is further configured to generate state analysis and control parameters for the internal running partition corresponding to the external service partition based on the preset running state threshold range parameters and the second partition running state parameters. The state analysis and control parameters are used to analyze or urgently control the abnormal running state of the internal running partition corresponding to the external service partition.

[0017] As an optional implementation, in a second aspect of the present invention, the specific method by which the generation module generates the state analysis and control parameters of the external service partition corresponding to the internal operating partition based on the preset operating state threshold range parameter and the second partition operating state parameter includes: Determine whether the operating status parameters of the second partition are within the preset operating status threshold range parameters; When it is determined that the second partition's operating status parameters are within the preset operating status threshold range, then a target inspection parameter corresponding to the internal operating partition of the external service partition is generated based on the second partition's operating status parameters. The target inspection parameter is used to indicate the inspection requirements of the internal operating partition corresponding to the external service partition. When it is determined that the second partition's running status parameter is not within the preset running status threshold range parameter of the internal running partition corresponding to the external service partition, an emergency control parameter is generated for the internal running partition corresponding to the external service partition. The emergency control parameter is used to shut down the running status of the internal running partition corresponding to the external service partition. The state analysis and control parameters include the target parameter to be tested or the emergency control parameter.

[0018] As an optional implementation, in a second aspect of the invention, the apparatus further includes: The first analysis module is used to analyze the partition layout parameters of all the external service partitions; The acquisition module is further configured to acquire the user's second requirement parameters for the gas wall-hung boiler for all external service zones; The generation module is further configured to generate, based on all the second requirement parameters, the user's requirement overlap parameters for all the external service partitions of the gas wall-hung boiler; The first analysis module is further configured to analyze the collaboration relationship parameters between each of the external service partitions based on the partition layout parameters and the demand overlap parameters. The collaboration relationship parameters are used to represent the degree of dependency or conflict between the external service partitions. The collaboration relationship parameters include at least one of the following: geographical location association parameters, functional complementarity association parameters, and resource competition association parameters between the external service partitions. The control module is used to control the partition operation control parameters of the internal running partition corresponding to each external service partition according to the coordination relationship parameters; Furthermore, the specific methods by which the control module controls the partition operation control parameters of each external service partition corresponding to the internal running partition based on the coordination relationship parameters include: Based on the collaboration relationship parameters, all external service partitions are divided into a set of dependent service partitions and a set of conflicting service partitions. Each external service partition has a corresponding relationship degree identifier, which is used to indicate the degree of dependency or conflict between the external service partition and other external service partitions. Based on the fact that there is a corresponding relationship degree identifier for each of the dependent service partition set, the conflicting service partition set, and each of the external service partitions, an operation control priority is generated for each of the external service partitions corresponding to the internal running partition. The operation control priority of each of the external service partitions in the dependent service partition set corresponding to the internal running partition is relatively higher than the operation control priority of each of the external service partitions in the conflicting service partition set corresponding to the internal running partition. Based on all the stated operational control priorities, adjust the partition operational control parameters of each external service partition corresponding to the internal operational partition.

[0019] As an optional implementation, in a second aspect of the present invention, the acquisition module is further configured to acquire the user's historical demand parameters for the gas wall-hung boiler, the historical demand parameters corresponding to the first demand parameters; The device also includes: The second analysis module is used to analyze the user's demand habit parameters based on the historical demand parameters; The prediction module is used to predict the potential demand parameters of the user within a preset future time period based on the demand habit parameters. The generation module is further configured to generate preliminary operation control parameters for the gas-fired wall-hung boiler based on the potential demand parameters, so as to schedule the operating resources of the gas-fired wall-hung boiler corresponding to the potential demand parameters.

[0020] A third aspect of the present invention discloses another distributed operation control device for a gas-fired wall-hung boiler, the device comprising: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the distributed operation control method for a gas-fired wall-hung boiler disclosed in the first aspect of the present invention.

[0021] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the distributed operation control method for a gas-fired wall-hung boiler disclosed in the first aspect of the present invention.

[0022] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In this embodiment of the invention, a first demand parameter of the user for the gas-fired wall-hung boiler is obtained. The first demand parameter indicates at least one first demand of the user for the gas-fired wall-hung boiler, including at least one of bathroom demand, heating demand, and drinking water demand. For each first demand, at least one first detection item related to the first demand is determined in the gas-fired wall-hung boiler. It is determined whether there is at least one second detection item among all the first detection items of the first demand. If the second detection item satisfies a preset abnormal condition, when it is determined that there is at least one second detection item among all the first detection items of the first demand, abnormal control parameters of the gas-fired wall-hung boiler for the first demand are generated based on all the second detection items. When it is determined that there is no second detection item among all the first detection items of the first demand, operating control parameters of the gas-fired wall-hung boiler for the first demand are generated based on the first demand parameter. As can be seen, implementing this invention enables demand-oriented anomaly screening and precise demand response by binding user needs (bathroom / heating / drinking water) with specific detection items. This avoids the redundant overhead of traditional systems that perform full-scale testing of all components, thus improving response efficiency. For each primary demand, anomaly control is triggered only when the detection item of that primary demand meets preset anomaly conditions (such as abnormal flow), achieving hierarchical handling of anomalies, reducing the false positive rate while ensuring that normal demands are not disturbed. In case of anomalies, the fault source is accurately located, improving system reliability. By generating anomaly control parameters and operating control parameters along separate paths, the impact of faulty modules on other functions is prevented. It can operate, achieve dynamic resource optimization, improve resource utilization (such as independent heating operation even when bathroom fixtures fail), enhance system fault tolerance, and improve the operational control flexibility of gas wall-hung boilers while ensuring operational safety through distributed operation control. This reduces the operation and maintenance costs and energy consumption costs of gas wall-hung boilers. It is beneficial to improve the operational stability of gas wall-hung boilers by enhancing their modular operation capabilities, while ensuring operational safety, and to achieve the goal of "precise fault isolation and on-demand energy supply coordination", thereby improving the user experience. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart illustrating a distributed operation control method for a gas-fired wall-hung boiler disclosed in an embodiment of the present invention. Figure 2 This is a flowchart illustrating another distributed operation control method for a gas-fired wall-hung boiler disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a distributed operation control device for a gas-fired wall-hung boiler disclosed in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of another distributed operation control device for a gas wall-hung boiler disclosed in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of another distributed operation control device for a gas-fired wall-hung boiler disclosed in an embodiment of the present invention. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0027] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0028] This invention discloses a distributed operation control method and device for a gas-fired wall-hung boiler. It enables demand-oriented anomaly screening and precise demand response by binding user needs (bathroom / heating / drinking water) with specific detection items. This avoids the redundant overhead of traditional systems that perform full-scale testing of all components, improving response efficiency. For each primary demand, anomaly control is triggered only when the detection item of that primary demand meets preset anomaly conditions (such as abnormal flow), achieving hierarchical anomaly handling, reducing the false positive rate while ensuring that normal demands are not disturbed. It accurately locates the fault source during anomalies, improving system reliability. By generating anomaly control parameters and operation control parameters via separate paths, it avoids... The fault-free module prevents other functions from being affected, enabling dynamic resource optimization and improving resource utilization (e.g., it can still operate independently for heating even when the bathroom malfunctions). It enhances system fault tolerance and, through distributed operation control of the gas-fired wall-hung boiler, improves operational safety while increasing operational control flexibility. This reduces operating and maintenance costs and energy consumption. Furthermore, by enhancing the modular operation capabilities of the gas-fired wall-hung boiler while ensuring operational safety, it improves operational stability and achieves the goal of "precise fault isolation and on-demand energy supply coordination," ultimately improving the user experience. These are explained in detail below.

[0029] Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating a distributed operation control method for a gas-fired wall-hung boiler disclosed in an embodiment of the present invention. Figure 1 The described distributed operation control method for gas-fired wall-hung boilers can be applied to gas-fired wall-hung boilers, and also to intelligent devices related to gas-fired wall-hung boilers. These intelligent devices include, but are not limited to, one or more of smart home devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices. This invention does not limit the scope of the application. Figure 1 As shown, the distributed operation control method for this gas-fired wall-hung boiler may include the following operations: 101. Obtain the user's first demand parameter for the gas wall-hung boiler. The first demand parameter is used to indicate at least one first demand of the user for the gas wall-hung boiler. The first demand includes at least one of bathroom demand, heating demand, and drinking water demand. In this embodiment of the invention, optionally, the user's first requirement parameter for the gas-fired wall-hung boiler can be obtained by detecting the user's input requirements through the control panel or mobile APP (such as selecting "bathroom mode" or setting the heating temperature) to clarify the type of function that the user currently needs to enable (bathroom / heating / drinking water), which can then be used as the input basis for subsequent control.

[0030] 102. For each first requirement, in the gas-fired wall-hung boiler, at least one first detection item related to that first requirement is identified; In this embodiment of the invention, optionally, a pre-defined "requirement-detection item mapping table" can be built into the system to determine the first detection item. For example: Bathroom fixture requirements: Testing water flow sensors and temperature sensors; Heating requirements: Monitor circulating water pump pressure and return water temperature; Drinking water demand: Detect the status of the filtration device and flow meter to transform abstract demand into measurable physical quantities, providing specific indicators for anomaly detection.

[0031] 103. Determine whether there is at least one second detection item among all the first detection items of the first requirement. If the second detection item meets the preset abnormal conditions, if it is determined that there is at least one second detection item among all the first detection items of the first requirement, then step 104 is triggered; if it is determined that there is no second detection item among all the first detection items of the first requirement, then step 105 is triggered. In this embodiment of the invention, optionally, to determine whether a second detection item (abnormal item) exists, the detection data can be compared with a preset safety threshold (e.g., a flow rate abnormality is triggered when the heating water flow is below 0.5 L / min). If any item exceeds the threshold, it is marked as a second detection item; this allows for rapid location of the fault point and prevention of the abnormal state from spreading.

[0032] In this embodiment of the invention, as an optional implementation, the determination of whether at least one second detection item exists among all the first detection items of the first requirement includes: For each first detection item, determine whether the first detection item matches the corresponding preset first detection item. The preset first detection item includes at least one of the following: temperature sensing failure, temperature change failure, smoke temperature failure, abnormal flow failure, pressure failure, ignition failure, abnormal combustion failure, antifreeze protection failure, water pollution failure, and false triggering of safety protection device. When it is determined that the first detection item matches the corresponding preset first detection item, the first detection item is identified as the second detection item, and it is determined that there is at least one second detection item among all the first detection items of the first requirement; When it is determined that all first detection items do not match the corresponding preset first detection items, it is determined that there are no second detection items among all the first detection items of the first requirement.

[0033] In this embodiment of the invention, optionally, for the preset first detection item, a preset fault type library can be set up, and the system stores 10 preset fault characteristics (such as "combustion abnormality = flame sensor has no signal for 3 consecutive seconds") to standardize the abnormal judgment criteria and reduce misjudgment.

[0034] For the fault matching mechanism, it could be that if the smoke temperature is detected to be >150℃, then a "smoke temperature fault" is matched. Antifreeze sensor failure → Match “antifreeze protection failure” to accurately identify the fault type through feature mapping.

[0035] For anomaly labeling and decision-making If a certain detection item matches a preset fault, it is immediately marked as the second detection item, triggering the abnormal control process of claim 1 to achieve automated classification and handling of faults.

[0036] As can be seen, implementing this optional embodiment can determine anomalies by matching preset fault features, achieve standardized fault identification, unify fault judgment standards, reduce the missed detection rate, and avoid handling deviations caused by differences in human experience; it can automatically map detection items with preset fault types (such as temperature sensor failure → temperature sensing fault), realize rapid fault classification, shorten fault diagnosis time, provide a basis for generating targeted anomaly control parameters, and accelerate system recovery.

[0037] 104. Based on all the second detection items, generate the abnormal control parameters for the gas wall-hung boiler in response to the first requirement; 105. Based on the first requirement parameter, generate the operating control parameters of the gas wall-hung boiler for the first requirement.

[0038] In this embodiment of the invention, optionally, the following parameters are used for generating abnormal control parameters: If an ignition fault is detected, a "close gas valve" command is generated; If multiple faults coexist, a "shutdown and maintenance" command will be generated for the primary requirement and an alarm will be triggered. This will not affect the normal operation of other primary requirements, and will enable dynamic formulation of protection strategies based on fault types to ensure system safety.

[0039] For generating runtime control parameters: When no abnormalities are found, calculate the control target based on the required parameters. For example: Bathroom requirements: output of hot water at a constant temperature of 45℃; Heating requirements: Output 60℃ hot water to the radiators to translate user needs into equipment execution instructions.

[0040] As can be seen, implementing the embodiments of the present invention can achieve demand-oriented anomaly screening and precise demand response by binding user needs (bathroom / heating / drinking water) with specific detection items, avoiding the redundant overhead of traditional systems that perform full-scale detection of all components, and improving response efficiency. For each first demand, anomaly control is triggered only when the detection item of the first demand meets preset anomaly conditions (such as abnormal flow), realizing hierarchical handling of anomalies, reducing the false judgment rate while ensuring that normal demands are not disturbed. In case of anomalies, the fault source is accurately located, improving system reliability. By generating anomaly control parameters and operating control parameters through separate paths, the impact of faulty modules on other systems is avoided. Its functions enable dynamic resource optimization, improving resource utilization (e.g., it can still operate independently for heating even when the bathroom malfunctions), enhancing system fault tolerance, and through distributed operation control of the gas-fired wall-hung boiler, it can improve the operational safety of the gas-fired wall-hung boiler while increasing the flexibility of its operation control. This, in turn, reduces the operation and maintenance costs and energy consumption costs of the gas-fired wall-hung boiler. It is beneficial to improve the operational stability of the gas-fired wall-hung boiler by enhancing its modular operation capabilities, while ensuring operational safety, and to achieve the goal of "precise fault isolation and on-demand energy supply coordination," thereby improving the user experience.

[0041] In this embodiment of the invention, as another optional implementation, the above method further includes: Determine at least one external service zone for the gas-fired wall-hung boiler, whereby the external service zone represents the service area corresponding to the gas-fired wall-hung boiler. For each external service zone, determine the internal operating zone in the gas-fired wall-hung boiler corresponding to that external service zone. The internal operating zone includes at least one associated component. The system senses the first partition environmental status parameters of the external service partition, the first partition operating status parameters of the corresponding internal operating partition of the external service partition, and the user's second requirement parameters for the gas wall-hung boiler for the external service partition. Based on the second requirement parameter, generate the target partition environment status parameters of the user for the external service partition and the target partition running status parameters of the corresponding internal running partition of the external service partition; Based on the target partition's environment status parameters and target partition's running status parameters, partition running control parameters are generated for the corresponding internal running partition of the external service partition, so as to control the running status parameters of the first partition and make the environment status parameters of the first partition match the environment status parameters of the target partition.

[0042] In this embodiment of the invention, optionally, the partition definition is as follows: External service zones: Physically divided areas (such as "Master Bathroom", "Living Room", "Kitchen"); Internal operation zones: Associate equipment components (such as "main bathroom" corresponding to water pump P1 and valve V2) to establish a space-equipment mapping relationship and support independent control of zones.

[0043] Regarding state perception and target generation: It can sense the living room temperature (18℃) → the user sets the target temperature (22℃) → calculates that it needs to be increased by 4℃; The internal components (the opening of the radiator valve needs to be increased from 30% to 60%) are linked to convert environmental requirements into equipment control quantities.

[0044] For the implementation of zoned control: A pulse control signal can be sent to valve V2 based on the target opening degree of 60%. The system monitors the living room temperature in real time until it reaches the target temperature, enabling precise temperature control in different areas.

[0045] As can be seen, implementing this optional embodiment can establish a mapping relationship between external service zones (such as bedrooms) and internal operating zones (corresponding to water pumps / valves), enabling independent control. This achieves distributed operation control of the gas boiler's internal functions, further improving the precise distributed zoning control of the gas boiler's service space. It solves the problem of uneven heating and cooling caused by traditional centralized control, enhances local environmental comfort, and improves the environmental adaptability of the gas boiler's operation control. By reverse-engineering the equipment operating parameters (valve opening 60%) based on the target environmental state (such as a target temperature of 22°C in the living room), it achieves closed-loop state control, reduces environmental state fluctuations (such as reducing the room temperature fluctuation range by 50%), and further improves energy utilization efficiency.

[0046] In this optional embodiment, as an optional implementation method, the above method further includes: The system senses and obtains the second partition environment status parameters of the external service partition and the second partition running status parameters of the corresponding internal running partition of the external service partition. Calculate the target vector distance parameter between the environmental state parameters of the second partition and the environmental state parameters of the target partition. The target vector distance parameter is used to represent the vector distance between the environmental state parameters of the second partition and the environmental state parameters of the target partition. Determine whether the target vector distance parameter matches the preset vector distance parameter. If it is determined that the target vector distance parameter does not match the preset vector distance parameter, then determine the preset operating status threshold range parameter of the internal operating partition corresponding to the external service partition. Based on the preset operating status threshold range parameters and the second partition operating status parameters, the status analysis and control parameters of the internal operating partition corresponding to the external service partition are generated. The status analysis and control parameters are used to analyze or urgently control the abnormal operating status of the internal operating partition corresponding to the external service partition.

[0047] In this embodiment of the invention, optionally, for vector distance calculation: Target temperature: Living room temperature 22℃±0.5℃; Actual condition: 20℃ → Distance = 2℃ (exceeding tolerance); Preset tolerance: ±1℃ → Determine mismatch to quantify the degree of deviation between the actual and the target.

[0048] Regarding threshold protection mechanisms: The water pump pressure threshold range is 0.8~1.2 Bar; Detected 1.5 Bar → Generate "Depressurize" command to prevent equipment from operating under overpressure.

[0049] As can be seen, implementing this optional embodiment can quantify the deviation between the actual state and the target by using vector distance parameters (e.g., actual temperature 20℃ vs target 22℃ → distance 2℃), realize deviation quantification early warning, detect hidden anomalies in advance (e.g., slow water pressure drop), and prevent small faults from evolving into system downtime; when the deviation exceeds the limit, the preset safety threshold (e.g., pressure > 1.2 Bar) is invoked to trigger the protection mechanism, realize safety threshold protection, prevent equipment from operating beyond the limit (e.g., avoid pipe bursting), and extend the hardware life.

[0050] In this optional embodiment, as another optional implementation, the above-mentioned generation of state analysis and control parameters for the internal operating partition corresponding to the external service partition based on the preset operating state threshold range parameter and the second partition operating state parameter includes: Determine whether the operating status parameters of the second partition are within the preset operating status threshold range. When it is determined that the running status parameters of the second partition are within the preset running status threshold range, the target inspection parameters of the internal running partition corresponding to the external service partition are generated based on the running status parameters of the second partition. The target inspection parameters are used to indicate the inspection requirements of the internal running partition corresponding to the external service partition. When it is determined that the running status parameter of the second partition is not within the preset running status threshold range of the internal running partition corresponding to the external service partition, an emergency control parameter for the internal running partition corresponding to the external service partition is generated. The emergency control parameter is used to shut down the running status of the internal running partition corresponding to the external service partition. Among them, the state analysis and control parameters include target parameters to be tested or emergency control parameters.

[0051] In this embodiment of the invention, optionally, for a graded control strategy: If the pressure is 1.1 Bar (within the threshold), mark the water pump for inspection (potential wear risk). If the pressure reaches 1.5 Bar (exceeding the threshold), immediately shut off the water pump power to determine the risk level and avoid excessive downtime.

[0052] As can be seen, implementing this optional embodiment can achieve proactive maintenance reminders by automatically generating maintenance suggestions (such as marking "water pump needs maintenance") based on the target parameters, such as generating parameters to be checked when the operating parameters are within the threshold; and immediately shutting down the equipment when the operating parameters exceed the threshold, thus distinguishing between routine maintenance and emergency failures, reducing unnecessary downtime, and ensuring the continuity of core functions through the automatic generation of maintenance suggestions (such as "water flow sensor data drift needs calibration") based on the target parameters to be checked, thereby preventing potential failures and reducing subsequent maintenance costs.

[0053] In an optional embodiment, the above method further includes: Analyze the partition layout parameters of all external service partitions; Obtain the user's second requirement parameters for the gas-fired wall-hung boiler across all external service zones; Based on all the second requirement parameters, generate the user's overlapping requirement parameters for all external service zones for the gas wall-hung boiler; Based on the partition layout parameters and demand overlap parameters, analyze the collaboration relationship parameters between each external service partition. The collaboration relationship parameters are used to represent the degree of dependency or conflict between external service partitions. The collaboration relationship parameters include at least one of the following: geographical location association parameters, functional complementarity association parameters, and resource competition association parameters between external service partitions. Based on the collaboration relationship parameters, adjust the partition operation control parameters of the internal running partition corresponding to each external service partition; Optionally, the above-mentioned adjustment of partition operation control parameters for each external service partition corresponding to the internal running partition based on the collaboration relationship parameters includes: Based on the collaboration relationship parameters, all external service partitions are divided into a set of dependent service partitions and a set of conflicting service partitions. Each external service partition has a corresponding relationship degree identifier, which is used to indicate the degree of dependency or conflict between the external service partition and other external service partitions. Based on the fact that there is a corresponding degree of relationship identifier for each external service partition, the set of dependent service partitions, the set of conflicting service partitions, and each external service partition, the operation control priority of the internal running partition corresponding to each external service partition is generated. The operation control priority of the internal running partition corresponding to each external service partition in the set of dependent service partitions is relatively higher than the operation control priority of the internal running partition corresponding to each external service partition in the set of conflicting service partitions. Based on all operational control priorities, adjust the partition operation control parameters of the internal operational partition corresponding to each external service partition.

[0054] In this embodiment of the invention, optionally, for partitioned collaborative analysis: For example, a conflict case: both the bathroom and the kitchen require hot water at the same time → resource competition; For example, in a dependent case: the living room heating requires auxiliary circulation from the bedroom valve → complementary functions to identify the coupling relationship between areas.

[0055] For dynamic priority scheduling: You can set the priority of the dependency set (living room + bedroom) to high; The conflict set (bathroom + kitchen) takes turns allocating hot water resources to optimize the system's resource allocation efficiency.

[0056] As can be seen, implementing this optional embodiment can identify resource conflicts through zoning layout parameters (such as bathrooms and kitchens being adjacent) and demand overlap parameters (both requiring high-temperature hot water), achieve collaborative conflict resolution, dynamically allocate resources (such as staggered hot water supply), and avoid system overload caused by multi-area demand conflicts; dependency sets (such as heating linkage between living room and bedroom) → high-priority control; conflict sets (such as bathrooms and kitchens) → polling services based on the degree of relationship, thereby optimizing spatial dependencies, maximizing system resource utilization (such as prioritizing heating in core areas), and improving the overall user experience.

[0057] Example 2 Please see Figure 2 , Figure 2 This is a flowchart illustrating another distributed operation control method for a gas-fired wall-hung boiler disclosed in an embodiment of the present invention. Figure 2 The described distributed operation control method for gas-fired wall-hung boilers can be applied to gas-fired wall-hung boilers, and also to intelligent devices related to gas-fired wall-hung boilers. These intelligent devices include, but are not limited to, one or more of smart home devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices. This invention does not limit the scope of the application. Figure 2 As shown, the distributed operation control method for this gas-fired wall-hung boiler may include the following operations: 201. Obtain the user's historical demand parameters for the gas wall-hung boiler. The historical demand parameters correspond to the first demand parameter. 202. Analyze user demand and habit parameters based on historical demand parameters; 203. Based on demand habit parameters, predict the potential demand parameters of users in the preset future time period; 204. Based on the potential demand parameters, generate preliminary operation control parameters for the gas wall-hung boiler to schedule the operating resources of the gas wall-hung boiler corresponding to the potential demand parameters. 205. Obtain the user's first demand parameter for the gas wall-hung boiler. The first demand parameter is used to indicate at least one first demand of the user for the gas wall-hung boiler. The first demand includes at least one of bathroom demand, heating demand, and drinking water demand. 206. For each first requirement, in the gas-fired wall-hung boiler, at least one first detection item related to that first requirement is identified; 207. Determine whether there is at least one second detection item among all the first detection items of the first requirement, and whether the second detection item meets the preset abnormal conditions; when it is determined that there is at least one second detection item among all the first detection items of the first requirement, then trigger the execution of step 208; when it is determined that there is no second detection item among all the first detection items of the first requirement, then trigger the execution of step 209. 208. Based on all the second detection items, generate the abnormal control parameters for the gas wall-hung boiler in response to the first requirement; 209. Based on the first requirement parameter, generate the operating control parameters of the gas wall-hung boiler for the first requirement.

[0058] In this embodiment of the invention, for the supplementary explanation of steps 205-209, please refer to the supplementary explanation of steps 101-105 in Embodiment 1. This embodiment of the invention will not repeat the details.

[0059] In this embodiment of the invention, optionally, for the demand forecasting model: Historical data can be analyzed, such as when a user turns on the living room heating at 7:00 AM every day; Preheat the circulating water to 40°C (not at full power) 30 minutes in advance to reduce response delay and save energy.

[0060] For resource pre-scheduling: predict the water consumption during tomorrow morning peak hours → preheat the water storage tank during the nighttime low electricity price period to reduce usage costs through peak-shifting operation.

[0061] It is evident that implementing the embodiments of the present invention can predict future demand based on historical data (such as heating starting at 7:00 every day), generate preliminary control parameters, realize proactive demand prediction, shorten demand response delay (such as automatically preheating hot water before morning bathing), and improve service smoothness; by scheduling potential demand resources in advance (such as thermal storage during low electricity price periods at night), concentrated load during peak periods can be avoided, flexible resource scheduling can be achieved, peak operating energy consumption can be reduced, and equipment service life can be extended.

[0062] Example 3 Please see Figure 3 , Figure 3This is a schematic diagram of the structure of a distributed operation control device for a gas-fired wall-hung boiler disclosed in an embodiment of the present invention. This distributed operation control device can be applied to gas-fired wall-hung boilers, and also to intelligent devices related to gas-fired wall-hung boilers. These intelligent devices include, but are not limited to, one or more of smart home devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices; the embodiments of the present invention do not limit the application to these devices. Figure 3 As shown, the distributed operation control device of the gas wall-hung boiler may include: The acquisition module 301 is used to acquire the user's first demand parameters for the gas wall-hung boiler. The first demand parameters are used to indicate at least one first demand of the user for the gas wall-hung boiler. The first demand includes at least one of bathroom demand, heating demand, and drinking water demand. The determining module 302 is used to determine, for each first requirement, at least one first detection item related to the first requirement in the gas wall-hung boiler; The judgment module 303 is used to determine whether there is at least one second detection item among all the first detection items of the first requirement, and the second detection item satisfies the preset abnormal conditions; The generation module 304 is used to generate abnormal control parameters for the gas wall-hung boiler for the first requirement based on all the second detection items when the judgment module 303 determines that there is at least one second detection item among all the first detection items of the first requirement. The generation module 304 is also used to generate the operating control parameters of the gas wall-hung boiler for the first requirement based on the first requirement parameters when the judgment module 303 determines that there is no second detection item among all the first detection items of the first requirement.

[0063] As can be seen, implementing the embodiments of the present invention can achieve demand-oriented anomaly screening and precise demand response by binding user needs (bathroom / heating / drinking water) with specific detection items, avoiding the redundant overhead of traditional systems that perform full-scale detection of all components, and improving response efficiency. For each first demand, anomaly control is triggered only when the detection item of the first demand meets preset anomaly conditions (such as abnormal flow), realizing hierarchical handling of anomalies, reducing the false judgment rate while ensuring that normal demands are not disturbed. In case of anomalies, the fault source is accurately located, improving system reliability. By generating anomaly control parameters and operating control parameters through separate paths, the impact of faulty modules on other systems is avoided. Its functions enable dynamic resource optimization, improving resource utilization (e.g., it can still operate independently for heating even when the bathroom malfunctions), enhancing system fault tolerance, and through distributed operation control of the gas-fired wall-hung boiler, it can improve the operational safety of the gas-fired wall-hung boiler while increasing the flexibility of its operation control. This, in turn, reduces the operation and maintenance costs and energy consumption costs of the gas-fired wall-hung boiler. It is beneficial to improve the operational stability of the gas-fired wall-hung boiler by enhancing its modular operation capabilities, while ensuring operational safety, and to achieve the goal of "precise fault isolation and on-demand energy supply coordination," thereby improving the user experience.

[0064] In this embodiment of the invention, as an optional implementation, the specific method by which the judgment module 303 determines whether there is at least one second detection item among all the first detection items of the first requirement includes: For each first detection item, determine whether the first detection item matches the corresponding preset first detection item. The preset first detection item includes at least one of the following: temperature sensing failure, temperature change failure, smoke temperature failure, abnormal flow failure, pressure failure, ignition failure, abnormal combustion failure, antifreeze protection failure, water pollution failure, and false triggering of safety protection device. When it is determined that the first detection item matches the corresponding preset first detection item, the first detection item is identified as the second detection item, and it is determined that there is at least one second detection item among all the first detection items of the first requirement; When it is determined that all first detection items do not match the corresponding preset first detection items, it is determined that there are no second detection items among all the first detection items of the first requirement.

[0065] As can be seen, implementing this optional embodiment can determine anomalies by matching preset fault features, achieve standardized fault identification, unify fault judgment standards, reduce the missed detection rate, and avoid handling deviations caused by differences in human experience; it can automatically map detection items with preset fault types (such as temperature sensor failure → temperature sensing fault), realize rapid fault classification, shorten fault diagnosis time, provide a basis for generating targeted anomaly control parameters, and accelerate system recovery.

[0066] In one optional implementation of this invention, the determining module 302 is further configured to determine at least one external service zone of the gas-fired wall-hung boiler, wherein the external service zone represents the service area corresponding to the gas-fired wall-hung boiler. The determining module 302 is also used to determine, for each external service partition, the internal operating partition in the gas wall-hung boiler corresponding to the external service partition, wherein the internal operating partition includes at least one associated component; Optional, such as Figure 4 As shown, the device also includes: The sensing module 305 is used to sense the first partition environmental status parameters of the external service partition, the first partition operating status parameters of the internal operating partition corresponding to the external service partition, and the second demand parameters of the user for the gas wall-hung boiler for the external service partition. The generation module 304 is also used to generate, based on the second requirement parameters, the target partition environment status parameters of the user for the external service partition and the target partition running status parameters of the corresponding internal running partition of the external service partition. The generation module 304 is also used to generate partition operation control parameters of the internal running partition corresponding to the external service partition based on the target partition environment state parameters and the target partition running state parameters, so as to control the running state parameters of the first partition so that the environment state parameters of the first partition match the environment state parameters of the target partition.

[0067] As can be seen, implementing this optional embodiment can establish a mapping relationship between external service zones (such as bedrooms) and internal operating zones (corresponding to water pumps / valves), enabling independent control and precise zone control. This solves the problem of uneven heating and cooling caused by traditional centralized control, improves local environmental comfort, and enhances the environmental adaptability of the gas boiler's operation control. Based on the target environmental state (such as a target temperature of 22°C in the living room), the operating parameters of the equipment (valve opening of 60%) are derived in reverse, achieving closed-loop control of the state, reducing environmental state fluctuations (such as reducing the room temperature fluctuation range by 50%), and improving energy utilization efficiency.

[0068] In this optional embodiment, as an optional implementation, the aforementioned sensing module 305 is further configured to sense and acquire the second partition environment status parameters of the external service partition and the second partition running status parameters of the internal running partition corresponding to the external service partition. Optional, such as Figure 4 As shown, the device also includes: Calculation module 306 is used to calculate the target vector distance parameter between the environmental state parameters of the second partition and the environmental state parameters of the target partition. The target vector distance parameter is used to represent the vector distance between the environmental state parameters of the second partition and the environmental state parameters of the target partition. The judgment module 303 is also used to determine whether the target vector distance parameter matches the preset vector distance parameter; The determining module 302 is also used to determine the preset operating status threshold range parameter of the internal operating partition corresponding to the external service partition when the judging module 303 determines that the target vector distance parameter does not match the preset vector distance parameter. The generation module 304 is also used to generate state analysis and control parameters for the internal running partition corresponding to the external service partition based on the preset running status threshold range parameters and the second partition running status parameters. The state analysis and control parameters are used to analyze or urgently control the abnormal running status of the internal running partition corresponding to the external service partition.

[0069] As can be seen, implementing this optional embodiment can quantify the deviation between the actual state and the target by using vector distance parameters (e.g., actual temperature 20℃ vs. target 22℃ → distance 2℃), realize deviation quantification and early warning, detect hidden anomalies (e.g., slow water pressure drop) in advance, and prevent small faults from evolving into system downtime; when the deviation exceeds the limit, the preset safety threshold (e.g., pressure > 1.2 Bar) is invoked to trigger the protection mechanism, realize safety threshold protection, prevent equipment from operating beyond the limit (e.g., avoid pipe bursting), and extend the hardware life.

[0070] In this optional embodiment, as another optional implementation, the specific method by which the generation module 304 generates the state analysis and control parameters of the internal running partition corresponding to the external service partition based on the preset running state threshold range parameters and the second partition running state parameters includes: Determine whether the operating status parameters of the second partition are within the preset operating status threshold range. When it is determined that the running status parameters of the second partition are within the preset running status threshold range, the target inspection parameters of the internal running partition corresponding to the external service partition are generated based on the running status parameters of the second partition. The target inspection parameters are used to indicate the inspection requirements of the internal running partition corresponding to the external service partition. When it is determined that the running status parameter of the second partition is not within the preset running status threshold range parameter of the internal running partition corresponding to the external service partition, an emergency control parameter is generated for the internal running partition corresponding to the external service partition. The emergency control parameter is used to shut down the running status of the internal running partition corresponding to the external service partition. Among them, the state analysis and control parameters include target parameters to be tested or emergency control parameters.

[0071] As can be seen, implementing this optional embodiment can achieve proactive maintenance reminders by automatically generating maintenance suggestions (such as marking "water pump needs maintenance") based on the target parameters, such as generating parameters to be checked when the operating parameters are within the threshold; and immediately shutting down the equipment when the operating parameters exceed the threshold, thus distinguishing between routine maintenance and emergency failures, reducing unnecessary downtime, and ensuring the continuity of core functions through the automatic generation of maintenance suggestions (such as "water flow sensor data drift needs calibration") based on the target parameters to be checked, thereby preventing potential failures and reducing subsequent maintenance costs.

[0072] In an optional embodiment, such as Figure 4 As shown, the device also includes: The first analysis module 307 is used to analyze the partition layout parameters of all external service partitions; The acquisition module 301 is also used to acquire the user's second requirement parameters for all external service partitions of the gas wall-hung boiler; The generation module 304 is also used to generate overlapping parameters for the user's requirements for all external service zones of the gas wall-hung boiler, based on all the second requirement parameters. The first analysis module 307 is also used to analyze the collaborative relationship parameters between each external service partition based on the partition layout parameters and the demand overlap parameters. The collaborative relationship parameters are used to represent the degree of dependency or conflict between external service partitions. The collaborative relationship parameters include at least one of the following: geographical location association parameters, functional complementarity association parameters, and resource competition association parameters between external service partitions. The control module 308 is used to control the partition operation control parameters of the internal running partition corresponding to each external service partition according to the collaboration relationship parameters; Optionally, the specific methods by which the aforementioned control module 308 controls the partition operation control parameters of each external service partition corresponding to the internal running partition based on the collaboration relationship parameters include: Based on the collaboration relationship parameters, all external service partitions are divided into a set of dependent service partitions and a set of conflicting service partitions. Each external service partition has a corresponding relationship degree identifier, which is used to indicate the degree of dependency or conflict between the external service partition and other external service partitions. Based on the fact that there is a corresponding degree of relationship identifier for each external service partition, the set of dependent service partitions, the set of conflicting service partitions, and each external service partition, the operation control priority of the internal running partition corresponding to each external service partition is generated. The operation control priority of the internal running partition corresponding to each external service partition in the set of dependent service partitions is relatively higher than the operation control priority of the internal running partition corresponding to each external service partition in the set of conflicting service partitions. Based on all operational control priorities, adjust the partition operation control parameters of the internal operational partition corresponding to each external service partition.

[0073] As can be seen, implementing this optional embodiment can identify resource conflicts through zoning layout parameters (such as bathrooms and kitchens being adjacent) and demand overlap parameters (both requiring high-temperature hot water), achieve collaborative conflict resolution, dynamically allocate resources (such as staggered hot water supply), and avoid system overload caused by multi-area demand conflicts; dependency sets (such as heating linkage between living room and bedroom) → high-priority control; conflict sets (such as bathrooms and kitchens) → polling services based on the degree of relationship, thereby optimizing spatial dependencies, maximizing system resource utilization (such as prioritizing heating in core areas), and improving the overall user experience.

[0074] In another optional embodiment, the acquisition module 301 described above is further used to acquire the user's historical demand parameters for the gas wall-hung boiler, the historical demand parameters corresponding to the first demand parameters; Optional, such as Figure 4 As shown, the device also includes: The second analysis module 309 is used to analyze user demand and habit parameters based on historical demand parameters. Prediction module 310 is used to predict potential demand parameters of users within a preset future time period based on demand habit parameters; The generation module 304 is also used to generate preliminary operation control parameters for the gas wall-hung boiler based on the potential demand parameters, so as to schedule the operating resources of the gas wall-hung boiler corresponding to the potential demand parameters.

[0075] It is evident that implementing the embodiments of the present invention can predict future demand based on historical data (such as heating starting at 7:00 every day), generate preliminary control parameters, realize proactive demand prediction, shorten demand response delay (such as automatically preheating hot water before morning bathing), and improve service smoothness; by scheduling potential demand resources in advance (such as thermal storage during low electricity price periods at night), concentrated load during peak periods can be avoided, flexible resource scheduling can be achieved, peak operating energy consumption can be reduced, and equipment service life can be extended.

[0076] Example 4 Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of another distributed operation control device for a gas-fired wall-hung boiler disclosed in an embodiment of the present invention. This distributed operation control device can be applied to gas-fired wall-hung boilers, and also to intelligent devices related to gas-fired wall-hung boilers. These intelligent devices include, but are not limited to, one or more of smart home devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices; the embodiments of the present invention do not limit the application to these devices. Figure 5 As shown, the distributed operation control device of the gas wall-hung boiler may include: Memory 401 that stores executable program code.

[0077] Processor 402 coupled to memory 401.

[0078] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the distributed operation control method for a gas-fired wall-hung boiler described in Embodiment 1 or Embodiment 2 of the present invention.

[0079] Example 5 This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the distributed operation control method for a gas-fired wall-hung boiler described in Embodiment 1 or Embodiment 2 of this invention.

[0080] Example 6 This invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the distributed operation control method for a gas wall-hung boiler described in Embodiment 1 or Embodiment 2.

[0081] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0082] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store parameters.

[0083] Finally, it should be noted that the distributed operation control method and device for a gas wall-hung boiler disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A distributed operation control method for a gas-fired wall-hung boiler, characterized in that, The method includes: Obtain the user's first demand parameter for the gas wall-hung boiler. The first demand parameter is used to indicate at least one first demand of the user for the gas wall-hung boiler. The first demand includes at least one of bathroom demand, heating demand, and drinking water demand. For each of the first requirements, at least one first detection item related to the first requirement is determined in the gas-fired wall-hung boiler; Determine whether there is at least one second detection item among all the first detection items of the first requirement, and the second detection item satisfies the preset abnormal condition. When it is determined that there is at least one second detection item among all the first detection items of the first requirement, then generate the abnormal control parameters of the gas wall-hung boiler for the first requirement based on all the second detection items. When it is determined that the second detection item does not exist among all the first detection items of the first requirement, the operating control parameters of the gas wall-hung boiler for the first requirement are generated according to the first requirement parameters. Furthermore, the method further includes: Determine at least one external service zone for the gas-fired wall-hung boiler, wherein the external service zone is used to represent the service area corresponding to the gas-fired wall-hung boiler; For each external service zone, an internal operating zone in the gas-fired wall-hung boiler corresponding to the external service zone is determined, and the internal operating zone includes at least one associated component; The system senses the first partition environmental status parameters of the external service partition, the first partition operating status parameters of the internal operating partition corresponding to the external service partition, and the second demand parameters of the user for the gas wall-hung boiler for the external service partition. Based on the second requirement parameter, generate the target partition environment status parameter of the user for the external service partition and the target partition running status parameter of the internal running partition corresponding to the external service partition; Based on the target partition environment status parameters and the target partition operation status parameters, partition operation control parameters corresponding to the internal operation partition of the external service partition are generated to control the first partition operation status parameters so that the first partition environment status parameters match the target partition environment status parameters. Furthermore, the method further includes: The system senses and obtains the second partition environment status parameters of the external service partition and the second partition running status parameters of the internal running partition corresponding to the external service partition. Calculate the target vector distance parameter between the second partition environment state parameter and the target partition environment state parameter, wherein the target vector distance parameter is used to represent the vector distance between the second partition environment state parameter and the target partition environment state parameter; Determine whether the target vector distance parameter matches the preset vector distance parameter. If it is determined that the target vector distance parameter does not match the preset vector distance parameter, then determine the preset operating state threshold range parameter of the internal operating partition corresponding to the external service partition. Based on the preset operating status threshold range parameter and the second partition operating status parameter, a status analysis and control parameter is generated for the internal operating partition corresponding to the external service partition. The status analysis and control parameter is used to analyze or urgently control the abnormal operating status of the internal operating partition corresponding to the external service partition.

2. The distributed operation control method for a gas-fired wall-hung boiler according to claim 1, characterized in that, The determination of whether at least one second detection item exists among all the first detection items of the first requirement includes: For each of the first detection items, it is determined whether the first detection item matches the corresponding preset first detection item. The preset first detection item includes at least one of the following: temperature sensing failure, temperature change failure, smoke temperature failure, abnormal flow failure, pressure failure, ignition failure, abnormal combustion failure, antifreeze protection failure, water pollution failure, and false triggering of safety protection device. When it is determined that the first detection item matches the corresponding preset first detection item, the first detection item is identified as the second detection item, and it is determined that at least one second detection item exists among all the first detection items of the first requirement. When it is determined that all of the first detection items do not match the corresponding preset first detection items, it is determined that there is no second detection item among all the first detection items of the first requirement.

3. The distributed operation control method for a gas-fired wall-hung boiler according to claim 1, characterized in that, The step of generating state analysis and control parameters for the external service partition corresponding to the internal operating partition based on the preset operating state threshold range parameter and the second partition operating state parameter includes: Determine whether the operating status parameters of the second partition are within the preset operating status threshold range parameters; When it is determined that the second partition's operating status parameters are within the preset operating status threshold range, then a target inspection parameter corresponding to the internal operating partition of the external service partition is generated based on the second partition's operating status parameters. The target inspection parameter is used to indicate the inspection requirements of the internal operating partition corresponding to the external service partition. When it is determined that the second partition's running status parameter is not within the preset running status threshold range parameter of the internal running partition corresponding to the external service partition, an emergency control parameter is generated for the internal running partition corresponding to the external service partition. The emergency control parameter is used to shut down the running status of the internal running partition corresponding to the external service partition. The state analysis and control parameters include the target parameter to be tested or the emergency control parameter.

4. The distributed operation control method for a gas-fired wall-hung boiler according to claim 1, characterized in that, The method further includes: Analyze the partition layout parameters of all the aforementioned external service partitions; Obtain the user's second requirement parameters for the gas-fired wall-hung boiler across all external service zones; Based on all the second requirement parameters, generate the user's requirement overlap parameters for all the external service zones of the gas wall-hung boiler; Based on the partition layout parameters and the demand overlap parameters, the collaboration relationship parameters between each of the external service partitions are analyzed. The collaboration relationship parameters are used to represent the degree of dependency or conflict between the external service partitions. The collaboration relationship parameters include at least one of the following: geographical location association parameters, functional complementarity association parameters, and resource competition association parameters between the external service partitions. Based on the collaborative relationship parameters, adjust the partition operation control parameters of each external service partition corresponding to the internal running partition; And, the step of adjusting the partition operation control parameters of each external service partition corresponding to the internal running partition according to the collaboration relationship parameters includes: Based on the collaboration relationship parameters, all external service partitions are divided into a set of dependent service partitions and a set of conflicting service partitions. Each external service partition has a corresponding relationship degree identifier, which is used to indicate the degree of dependency or conflict between the external service partition and other external service partitions. Based on the fact that there is a corresponding relationship degree identifier for each of the dependent service partition set, the conflicting service partition set, and each of the external service partitions, an operation control priority is generated for each of the external service partitions corresponding to the internal running partition. The operation control priority of each of the external service partitions in the dependent service partition set corresponding to the internal running partition is relatively higher than the operation control priority of each of the external service partitions in the conflicting service partition set corresponding to the internal running partition. Based on all the stated operational control priorities, adjust the partition operational control parameters of each external service partition corresponding to the internal operational partition.

5. The distributed operation control method for a gas-fired wall-hung boiler according to any one of claims 1-4, characterized in that, The method further includes: Obtain the user's historical demand parameters for the gas wall-hung boiler, the historical demand parameters corresponding to the first demand parameters; Analyze the user's demand habit parameters based on the historical demand parameters; Based on the aforementioned demand habit parameters, predict the potential demand parameters of the user within a preset future time period; Based on the potential demand parameters, preliminary operation control parameters for the gas-fired wall-hung boiler are generated to schedule the operating resources of the gas-fired wall-hung boiler corresponding to the potential demand parameters.

6. A distributed operation control device for a gas-fired wall-hung boiler, characterized in that, The device is used to execute the distributed operation control method for a gas-fired wall-hung boiler as described in any one of claims 1-5, and the device comprises: The acquisition module is used to acquire the user's first demand parameters for the gas wall-hung boiler. The first demand parameters are used to indicate at least one first demand of the user for the gas wall-hung boiler. The first demand includes at least one of bathroom demand, heating demand, and drinking water demand. The determining module is configured to, for each of the first requirements, determine at least one first detection item in the gas-fired wall-hung boiler that is associated with the first requirement; The judgment module is used to determine whether there is at least one second detection item among all the first detection items of the first requirement, and the second detection item satisfies a preset abnormal condition; The generation module is used to generate abnormal control parameters for the gas wall-hung boiler for the first requirement based on all the second detection items when the judgment module determines that at least one second detection item exists among all the first detection items of the first requirement. The generation module is further configured to generate the operating control parameters of the gas wall-hung boiler for the first requirement based on the first requirement parameters when the judgment module determines that the second detection item does not exist among all the first detection items of the first requirement.

7. A distributed operation control device for a gas-fired wall-hung boiler, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the distributed operation control method for a gas-fired wall-hung boiler as described in any one of claims 1-5.

8. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the distributed operation control method for a gas-fired wall-hung boiler as described in any one of claims 1-5.

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