Electric heat storage heating management system

Abstract

The utility model relates to the technical field of heating systems, and provides an electric heat storage heating management system which comprises an electric heat storage device which comprises a sensing mechanism, a control mechanism and a heat source, and the sensing mechanism is connected to the heat source and an edge computing device and used for monitoring operation parameters of the heat source in real time and uploading the operation parameters to the edge computing device; the control mechanism is connected to the heat source and the edge computing device and controls operation of the heat source according to the control instruction. The communication equipment is used for establishing communication network connection between the edge computing equipment and the cloud server; the edge computing equipment is used for computing a corresponding target control instruction according to the received target operation parameters of the electric heat storage equipment when the communication equipment fails, and sending the target control instruction to the electric heat storage equipment; and the cloud server receives the operation parameters sent by the edge computing device, calculates control instructions corresponding to the operation parameters, and returns the control instructions to the edge computing device. According to the technical scheme, continuity and stability of heating service are ensured.

Description

[Technical Field]

[0001] This application relates to the field of heating system technology, and in particular to an electric thermal storage heating management system. [Background Technology]

[0002] In the field of electric thermal energy storage equipment operation and maintenance, the relevant technologies mainly rely on cloud-based AI computing platforms for setting operation and maintenance parameters and managing real-time data. That is, the operation and maintenance parameters of the electric heating equipment operation and maintenance system are set and real-time data is managed through cloud servers.

[0003] However, existing cloud-based AI computing-driven operation and maintenance (O&M) models have significant limitations. Since the cloud server and the O&M system for electric heating equipment communicate via a network, in the event of a network outage or absence, the O&M system cannot communicate or transmit data with the cloud. This results in untimely updates to O&M parameters, loss of equipment operating data, and even data loss. This not only affects the continuity and stability of heating services but also increases energy waste and O&M costs. [Utility Model Content]

[0004] This utility model provides an electric thermal storage heating management system, which aims to solve the technical problems existing in related technologies.

[0005] In a first aspect, this utility model provides an electric thermal storage heating management system, including: an electric thermal storage device, a communication device, an edge computing device, and a cloud server;

[0006] The electric thermal storage device includes a sensing mechanism, a control mechanism, and a heat source. The sensing mechanism is connected to the heat source and the edge computing device to monitor the operating parameters of the heat source in real time and upload the operating parameters to the edge computing device. The control mechanism is connected to the heat source and the edge computing device to receive control commands sent by the edge computing device and control the operation of the heat source according to the control commands.

[0007] The communication device is connected between the edge computing device and the cloud server, and is used to establish a communication network connection between the edge computing device and the cloud server;

[0008] The edge computing device is connected to the electric thermal storage device and the communication device. When the communication device is working normally, it sends the operating parameters received from the electric thermal storage device to the cloud server and sends the control commands received from the server to the electric thermal storage device. When the communication device fails, it calculates the corresponding target control command based on the target operating parameters received from the electric thermal storage device and sends the target control command to the electric thermal storage device.

[0009] The cloud server is connected to the edge computing device via a communication device to receive operating parameters sent by the edge computing device, calculate the control commands corresponding to the operating parameters, and return them to the edge computing device.

[0010] In one embodiment, optionally, the edge computing device is connected to the sensing and control mechanisms of the electric thermal storage device via a local area network.

[0011] In one embodiment, optionally, the sensing mechanism includes at least one type of sensor selected from furnace temperature sensor, air temperature sensor, liquid level sensor, water temperature sensor, pressure sensor, flow sensor, and ambient temperature sensor. The sensing mechanism is used to collect at least one operating parameter selected from the following: furnace core temperature, air inlet temperature, water tank level, water supply temperature, water return temperature, water supply pressure, water return pressure, water flow rate, power, and ambient temperature of the heat source, and upload the operating parameters to the edge computing device.

[0012] In one embodiment, the edge computing device may optionally include a monitoring module, a local storage module, a processor, and a logic control mechanism.

[0013] The monitoring module is used to monitor the operating status of the communication device and send the operating status of the communication device to the processor;

[0014] The local storage module is connected to the processor and is used to store the target operating parameters received from the electric thermal storage device when the processor determines that the communication device is faulty, and to synchronize the stored target operating parameters to the cloud server when the processor determines that the communication device has returned to normal operation.

[0015] The logic control mechanism, connected to the processor, is used to analyze the target operating parameters received from the electric thermal storage device according to the intelligent control model, and calculate the corresponding target control command based on the analysis results.

[0016] The processor is connected to the monitoring module, the local storage module, and the logic control mechanism, and is used to determine whether the communication device is faulty, as well as to receive operating parameters and issue control commands.

[0017] In one embodiment, optionally, the logic control mechanism includes a model update module connected to the cloud server, used to update the intelligent control model according to the control model in the cloud server when the communication device is working normally.

[0018] In one embodiment, optionally, the control mechanism includes a PLC controller, the input of which is connected to the edge computing device, and the output of which is connected to the heat source.

[0019] In one embodiment, optionally, it also includes:

[0020] An alarm, connected to the edge computing device, is used to issue an alarm when a fault is detected in the communication device.

[0021] In one embodiment, optionally, the alarm includes at least one of the following: an indicator light and a buzzer;

[0022] The indicator light includes at least one of the following: an infrared indicator light, an LED indicator light, or a flashing light.

[0023] In one embodiment, optionally, it also includes:

[0024] An early warning module, connected to the edge computing device, is used to output communication device fault prompt information to a preset terminal device when the communication device is determined to be faulty.

[0025] The above-described electric thermal storage heating management system includes: an electric thermal storage device, a communication device, an edge computing device, and a cloud server. The electric thermal storage device includes a sensing mechanism, a control mechanism, and a heat source. The sensing mechanism is connected to the heat source and the edge computing device to monitor the operating parameters of the heat source in real time and upload these parameters to the edge computing device. The control mechanism is connected to the heat source and the edge computing device to receive control commands sent by the edge computing device and control the operation of the heat source according to the control commands. The communication device is connected between the edge computing device and the cloud server to establish communication between them. The system is connected to a communication network. The edge computing device, connected to both the electric thermal storage device and the communication device, is used to send the received operating parameters from the electric thermal storage device to the cloud server when the communication device is working normally, and to send the received control commands from the server to the electric thermal storage device. When the communication device fails, it calculates the corresponding target control command based on the received target operating parameters of the electric thermal storage device and sends the target control command to the electric thermal storage device. The cloud server, connected to the edge computing device via the communication device, receives the operating parameters sent by the edge computing device, calculates the corresponding control command, and returns it to the edge computing device. In this invention, an edge computing device is added between the electric thermal storage device and the cloud server. When the network is interrupted, the edge computing device can independently calculate operating parameters and control the electric thermal storage device in real time using its built-in intelligent algorithms and locally stored historical data. This capability ensures that the electric thermal storage heating system can still operate normally without a network connection, ensuring the continuity and stability of heating services and significantly reducing the increase in operating costs and energy waste caused by network problems. [Attached Image Description]

[0026] To more clearly illustrate the technical solutions of the embodiments of this utility model, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 A schematic diagram of the structure of an electric thermal storage heating management system according to an embodiment of the present invention is shown.

[0028] Figure 2 This diagram illustrates the structure of an electric thermal storage device in an electric thermal storage heating management system according to an embodiment of the present invention.

[0029] Figure 3This illustration shows a schematic diagram of the edge computing device in an electric thermal storage heating management system provided by an embodiment of the present invention.

Detailed Implementation Methods

[0030] To better understand the technical solution of this utility model, the embodiments of this utility model will be described in detail below with reference to the accompanying drawings.

[0031] It should be understood that the described embodiments are merely some embodiments of this utility model, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this utility model without creative effort are within the scope of protection of this utility model.

[0032] The terminology used in the embodiments of this utility model is for the purpose of describing particular embodiments only and is not intended to be limiting of the utility model. The singular forms “a,” “the,” and “the” used in the embodiments of this utility model and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0033] To address the technical problems of poor accuracy and stability of existing power meters when encountering nonlinearity and noise factors, this utility model proposes a power meter circuit for ultra-high voltage direct current transmission scenarios.

[0034] The following detailed description, in conjunction with the accompanying drawings, outlines some embodiments of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0035] Please see Figure 1 , Figure 1 A schematic diagram of the structure of an electric thermal storage heating management system according to an embodiment of the present invention is shown.

[0036] like Figure 1 As shown, an electric thermal storage heating management system according to an embodiment of the present invention includes:

[0037] Electric thermal storage device 11, communication device 12, edge computing device 13, and cloud server 14;

[0038] like Figure 2 As shown, the electric thermal storage device 11 includes a sensing mechanism 111, a control mechanism 112, and a heat source 113. The sensing mechanism 111 is connected to the heat source 113 and the edge computing device 13, and is used to monitor the operating parameters of the heat source in real time and upload the operating parameters to the edge computing device. The control mechanism 112 is connected to the heat source 113 and the edge computing device 13, and is used to receive control commands sent by the edge computing device 13 and control the operation of the heat source 113 according to the control commands.

[0039] The communication device 12 is connected between the edge computing device 13 and the cloud server 14, and is used to establish a communication network connection between the edge computing device 13 and the cloud server 14.

[0040] The edge computing device 13 is connected to the electric thermal storage device 11 and the communication device 12. When the communication device is working normally, it sends the operating parameters received from the electric thermal storage device to the cloud server and sends the control commands received from the server to the electric thermal storage device. When the communication device fails, it calculates the corresponding target control command based on the target operating parameters received from the electric thermal storage device and sends the target control command to the electric thermal storage device.

[0041] The cloud server 14 is connected to the edge computing device 13 via the communication device 12. It is used to receive the operating parameters sent by the edge computing device, calculate the control instructions corresponding to the operating parameters, and return them to the edge computing device 13.

[0042] In this invention, an edge computing device is added between the electric thermal storage device and the cloud server. This edge computing device can independently calculate operational parameters and control the electric thermal storage device in real time, utilizing its built-in intelligent algorithms and locally stored historical data, even when the network is interrupted. This capability ensures that the electric thermal storage heating system can continue to operate normally without a network connection, guaranteeing the continuity and stability of heating services and significantly reducing increased operational costs and energy waste caused by network problems.

[0043] In one embodiment, optionally, the edge computing device 13 is connected to the sensing mechanism 111 and the control mechanism 112 of the electric thermal storage device 11 via a local area network.

[0044] In this embodiment, the edge computing device 13 is connected to the sensing mechanism 111 and the control mechanism 112 of the electric thermal storage device 11 via a local area network. In this way, only the local area network needs to be maintained to ensure the normal operation of the electric thermal storage device.

[0045] In one embodiment, optionally, the sensing mechanism 111 includes at least one type of sensor selected from furnace temperature sensor, air temperature sensor, liquid level sensor, water temperature sensor, pressure sensor, flow sensor, and ambient temperature sensor. The sensing mechanism is used to collect at least one operating parameter selected from the furnace core temperature, air inlet temperature, water tank level, water supply temperature, water return temperature, water supply pressure, water return pressure, water flow rate, power, and ambient temperature of the heat source, and upload the operating parameters to the edge computing device.

[0046] In the above embodiments, the furnace temperature sensor is used to measure the real-time temperature of the furnace core inside the heat source; the air temperature sensor is used to measure the temperature of the air entering the heat source; the water temperature sensor can be installed on the water supply pipe to measure the temperature of the water supplied to the heating network, or installed on the return water pipe to measure the temperature of the water returning from the heating network; the pressure sensor is usually installed on the water supply or return water pipe to monitor and record the pressure of the water supply or return water system; the liquid level sensor is used to monitor the water level in the water tank to ensure that the system has sufficient water for circulation; the flow sensor can be installed on the heating network to measure and record the volume or mass of water flowing through the pipe; the ambient temperature sensor can be installed in the heating terminal to measure and record the ambient temperature of the area. This application installs sensors at the heat source, heating terminal, or ambient area of ​​each heating node to comprehensively monitor the status of the heating system in real time, and transmits the collected heating sensor data to the local control device wirelessly.

[0047] Of course, the sensing mechanism can also be other types of sensors, including but not limited to the sensor types mentioned above.

[0048] like Figure 3 As shown, in one embodiment, optionally, the edge computing device 13 includes a monitoring module 131, a local storage module 132, a processor 133, and a logic control mechanism 134;

[0049] The monitoring module 131 is used to monitor the operating status of the communication device and send the operating status of the communication device to the processor;

[0050] The local storage module 132 is connected to the processor 133 and is used to store the target operating parameters received from the electric thermal storage device when the processor determines that the communication device is faulty, and to synchronize the stored target operating parameters to the cloud server when the processor determines that the communication device has returned to normal operation.

[0051] During network outages, the local data storage module is responsible for preserving operational data, ensuring its integrity and traceability. Once the network is restored, the operational data saved during the outage is synchronized to the cloud-based AI computing platform, enabling seamless data integration and subsequent data analysis and optimization. This allows for data synchronization and analysis, preventing data loss.

[0052] The logic control mechanism 134 is connected to the processor 133 and is used to analyze the target operating parameters received from the electric thermal storage device according to the intelligent control model, and calculate the corresponding target control command based on the analysis results.

[0053] The processor 133 is connected to the monitoring module 131, the local storage module 132, and the logic control mechanism 134, and is used to determine whether the communication device is faulty, as well as to receive operating parameters and issue control commands.

[0054] In this embodiment, intelligent control and data management are achieved through edge computing devices, reducing reliance on on-site maintenance personnel in the event of a network outage, thereby reducing additional labor and maintenance costs.

[0055] In one embodiment, optionally, the logic control mechanism 134 includes a model update module connected to the cloud server 14, used to update the intelligent control model according to the control model in the cloud server when the communication device is working normally.

[0056] In one embodiment, optionally, the control mechanism 112 includes a PLC controller, the input of which is connected to the edge computing device 13, and the output of which is connected to the heat source.

[0057] In one embodiment, optionally, it also includes:

[0058] An alarm, connected to the edge computing device, is used to issue an alarm when a fault is detected in the communication device.

[0059] In one embodiment, optionally, the alarm includes at least one of the following: an indicator light and a buzzer;

[0060] The indicator light includes at least one of the following: an infrared indicator light, an LED indicator light, or a flashing light.

[0061] In this embodiment, when the communication equipment malfunctions, an alarm can be triggered, for example, by using an indicator light and a buzzer. This facilitates timely notification of relevant personnel when the communication equipment fails.

[0062] In one embodiment, optionally, it also includes:

[0063] An early warning module, connected to the edge computing device, is used to output communication device fault prompt information to a preset terminal device when the communication device is determined to be faulty.

[0064] In this embodiment, in order to ensure that relevant personnel can promptly detect and resolve communication equipment malfunctions, a preset terminal device can be connected via an edge computing device to send fault alert information to the preset terminal device.

[0065] It is understandable that the selection of various components and the signal type of voltage signals can be chosen and set according to the actual scenario of production design, and this embodiment does not make specific limitations.

[0066] It is understood that the control functions of edge computing devices can be implemented through program modules in the prior art, and this embodiment does not make specific limitations here.

[0067] It should be noted that the circuit functions of the electric thermal storage heating management system provided in this embodiment are mainly realized through the circuit connection relationships between various circuit modules, and do not depend on the program modules in any particular circuit module. Furthermore, the various circuit modules in the electric thermal storage heating management system can be implemented using analog circuits or digital circuits, and for circuit modules that can have program modules embedded, their module functions can be implemented using program modules provided by existing technologies.

[0068] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0069] It should be understood that although the terms "first," "second," etc., may be used to describe the setting units in the embodiments of this utility model, these setting units should not be limited to these terms. These terms are only used to distinguish the setting units from each other. For example, without departing from the scope of the embodiments of this utility model, the first setting unit may also be referred to as the second setting unit, and similarly, the second setting unit may also be referred to as the first setting unit.

[0070] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0071] In the several embodiments provided by this utility model, it should be understood that the disclosed systems, methods, and approaches can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between systems or units may be electrical, mechanical, or other forms.

[0072] Furthermore, in the various embodiments of this utility model, the functional units can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0073] The above-described embodiments are only used to illustrate the technical solutions of this utility model, and are not intended to limit it. Although this utility model 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 this utility model, and should all be included within the protection scope of this utility model.

Claims

1. An electrically regenerative heating management system, characterized by, The application relates to an electric heat storage device, a communication device, an edge computing device and a cloud server. The electric heat storage device comprises a sensing mechanism, a control mechanism and a heat source, the sensing mechanism is connected to the heat source and the edge computing device, is used for monitoring operation parameters of the heat source in real time, and uploads the operation parameters to the edge computing device, and the control mechanism is connected to the heat source and the edge computing device, is used for receiving control instructions sent by the edge computing device, and controls operation of the heat source according to the control instructions. The communication device is connected between the edge computing device and the cloud server, and is used for establishing a communication network connection between the edge computing device and the cloud server. The edge computing device is connected to the electric heat storage device and the communication device, comprises a logic control mechanism, the logic control mechanism pre-stores an intelligent control model based on a heating system operation law, is used for sending received operation parameters from the electric heat storage device to the cloud server when the communication device is in normal work, sending received control instructions from the cloud server to the electric heat storage device, analyzing target operation parameters of the electric heat storage device received by the logic control mechanism when the communication device is in failure, calculating corresponding target control instructions, and sending the target control instructions to the electric heat storage device. The cloud server is connected to the edge computing device through the communication device, is used for receiving operation parameters sent by the edge computing device, calculating corresponding control instructions of the operation parameters, and returning to the edge computing device. The edge computing device is connected to the sensing mechanism and the control mechanism of the electric heat storage device through a local area network.

2. The electric regenerative heating management system of claim 1, wherein, The sensing mechanism comprises at least one type of sensor among a furnace temperature sensor, an air temperature sensor, a liquid level sensor, a water temperature sensor, a pressure sensor, a flow sensor and an environmental temperature sensor, is used for collecting at least one operation parameter among a furnace core temperature of the heat source, an air inlet temperature, a water tank liquid level, a water supply temperature, a return water temperature, a water supply pressure, a return water pressure, a water flow, and power and an environmental temperature, and uploading the operation parameter to the edge computing device.

3. The electric regenerative heating management system of claim 1, wherein, The edge computing device comprises a monitoring module, a local storage module, a processor and a logic control mechanism.

4. The electric regenerative heating management system of claim 1, wherein, The monitoring module is used for monitoring an operation state of the communication device, and sends the operation state of the communication device to the processor. The local storage module is connected to the processor, is used for storing received target operation parameters from the electric heat storage device when the processor determines that the communication device is in failure, and synchronizing the stored target operation parameters to the cloud server when the processor determines that the communication device is in a normal operation state. The logic control mechanism is connected to the processor, is used for analyzing target operation parameters from the electric heat storage device received according to an intelligent control model, and calculating corresponding target control instructions according to an analysis result. ​ The processor is connected to the monitoring module, the local storage module and the logic control mechanism, and is used for determining whether the communication equipment is faulty, receiving operation parameters and issuing control instructions.

5. The electric regenerative heating management system of claim 4, wherein, The logic control mechanism comprises a model updating module connected to the cloud server, and is used for updating the intelligent control model according to a control model in the cloud server when the communication equipment is normally working.

6. The electric regenerative heating management system of claim 1, wherein, The control mechanism comprises a PLC controller, an input end of the PLC controller is connected to the edge computing device, and an output end of the PLC controller is connected to the heat source.

7. The electric regenerative heating management system of claim 1, wherein, Further comprising: An alarm connected to the edge computing device, and used for alarming when it is determined that the communication equipment is faulty.

8. The electric regenerative heating management system of claim 7, wherein, The alarm comprises at least one of the following: an indicator light and a buzzer. The indicator light comprises at least one of the following: an infrared indicator light, an LED indicator light or a flashing light.

9. The electric regenerative heating management system of claim 1, wherein, Further comprising: A warning module connected to the edge computing device, and used for outputting communication equipment fault prompt information to a preset terminal device when it is determined that the communication equipment is faulty.

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