A safety monitoring method and system for an electric heating transformer protection system

By evaluating the operating status and related parameter data of the electric heating transformer protection system, the safety and energy efficiency of the electric heating system were improved, solving the problems of insufficient safety and energy utilization in the existing technology.

CN117109068BActive Publication Date: 2026-05-15BEIJING HAILAN YUNLIAN TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING HAILAN YUNLIAN TECH CO LTD
Filing Date
2023-08-24
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

Existing electric heating systems fail to effectively assess electrical equipment, resulting in low energy utilization value and insufficient operational safety of transformer protection systems.

Method used

By collecting the operating status parameters and related parameter data of the electric heating transformer protection system, the operating hazard value and energy utilization value are calculated. The data management platform is used for evaluation and threshold comparison, and corresponding maintenance and energy consumption adjustment are carried out.

Benefits of technology

This improves the operational safety and energy efficiency of the electric heating transformer protection system, ensuring reliable system operation and optimized energy consumption.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application provides a safety monitoring method and system of an electric heating transformer protection system, which comprises the following steps: collecting operation state parameter monitoring data of each device in the electric heating transformer protection system in a plurality of business analysis areas, and obtaining associated parameter data of each device; calculating an operation risk value of the electric heating transformer protection system in the business analysis area according to the collected operation state parameter monitoring data and the associated parameter data; comparing the operation risk value of the electric heating transformer protection system with a preset first threshold value, if the operation risk value of the electric heating transformer protection system is greater than the preset first threshold value, the electric heating transformer protection system is comprehensively maintained, otherwise, the electric heating transformer protection system does not need to be comprehensively maintained. The application improves the operation safety of the electric heating transformer protection system and improves the energy utilization value of the electric heating system.
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Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a safety monitoring method and system for an electric heating transformer protection system. Background Technology

[0002] Electric heating uses electricity to provide warmth; it's a heating method or device that converts electrical energy into heat energy, either directly or through a heat transfer medium circulating in heating pipes to meet heating needs. Electric heating is a high-quality, comfortable, and environmentally friendly heating method that converts clean electrical energy into heat energy. Through long-term practical application, it has been proven to possess many advantages unmatched by other heating methods and has been increasingly recognized and accepted by users worldwide. With the improvement of people's living standards and the increase in electrification, the safety of transformers has been affected. The safety of transformers and the operational safety of transformer protection systems are issues that currently require attention.

[0003] Currently, electric heating includes methods such as heat pumps or centralized heating. Existing technologies do not assess the power consumption of each electrical device in an electric heating system, resulting in the energy consumed by the system not achieving its full potential.

[0004] Therefore, the urgent technical problem to be solved is: how to improve the operational safety of the electric heating transformer protection system and improve the energy utilization value of the electric heating system. Summary of the Invention

[0005] The purpose of this application is to provide a safety monitoring method and system for an electric heating transformer protection system, thereby improving the operational safety of the electric heating transformer protection system and increasing the energy utilization value of the electric heating system.

[0006] To achieve the above objectives, as a first aspect of this application, this application provides a safety monitoring method for an electric heating transformer protection system. The method includes the following steps: collecting monitoring data of operating status parameters of each device in the electric heating transformer protection system within multiple business analysis areas, and obtaining associated parameter data for each device; transmitting and storing the operating status parameter monitoring data and associated parameter data to a data management platform; calculating the operational hazard value of the electric heating transformer protection system in the business analysis area based on the collected operating status parameter monitoring data and associated parameter data; and comparing the operational hazard value of the electric heating transformer protection system with a preset first threshold. If the operational danger value of the electric heating transformer protection system exceeds a preset first threshold, a comprehensive overhaul and maintenance of the electric heating transformer protection system is required; otherwise, no comprehensive overhaul and maintenance is necessary. Data on the power consumption and environmental conditions of the electric heating system's equipment are collected. Based on this data, the energy utilization value of the electric heating system is calculated. The energy utilization value of the electric heating system is compared to a preset second threshold. If the energy utilization value is less than the preset second threshold, energy consumption adjustment is performed on the electric heating system's equipment; otherwise, no energy consumption adjustment is necessary.

[0007] The safety monitoring method for the electric heating transformer protection system described above includes the following sub-steps: collecting monitoring data of the operating status parameters of each device in the electric heating transformer protection system across multiple business analysis areas and obtaining the associated parameter data of each device.

[0008] Set up corresponding data acquisition devices for each device in the electric heating transformer protection system within multiple business analysis areas; collect the operating status parameter monitoring data of the corresponding devices through the set data acquisition devices; and obtain the associated parameter data of the devices based on the operating status parameter monitoring data of the devices.

[0009] The safety monitoring method for the electric heating transformer protection system described above includes a transformer detector, a power controller, and a background processor. The transformer detector is installed at the transformer end to monitor the transformer's usage in real time. The power controller is installed in the customer box or floor box to adjust the power supplied to the customer's home. The background processor sends a command to the power controller to reduce the power used by the customer when the transformer's power exceeds the warning power.

[0010] The safety monitoring method for the electric heating transformer protection system described above, wherein the electrical equipment of the electric heating system includes electric heating equipment and electrical equipment of the electric heating transformer protection system.

[0011] The safety monitoring method for the electric heating transformer protection system described above includes the following formula for calculating the energy utilization value of the electric heating system:

[0012]

[0013] Where Z represents the energy utilization value of the electric heating system; V represents the indoor space volume; α1 represents the influence weight of ambient temperature; α2 represents the influence weight of ambient humidity; c1 represents the set standard indoor ambient temperature; c0 represents the initial indoor ambient temperature; s1 represents the indoor ambient humidity at the end of sampling; s2 represents the initial indoor ambient humidity; N represents the total number of electric heating devices; M represents the total number of electrical devices in the electric heating transformer protection system; P 1 i P represents the electricity consumption of the i-th electric heating device within the sampling time; 2 j T1 represents the power consumption value of the j-th electric heating transformer protection system equipment within the sampling time; T1 represents the time from the initial indoor ambient temperature to the set indoor standard ambient temperature.

[0014] The safety monitoring method for the electric heating transformer protection system described above includes the following steps: storing the operating status parameter monitoring data and related parameter data in the data management platform; establishing a storage block for each business analysis area in the data management platform; identifying the business analysis area to which the operating status parameter monitoring data and related parameter data uploaded to the data management platform belong; and storing the operating status parameter monitoring data and related parameter data in the corresponding storage block of the data management platform according to the business analysis area to which the operating status parameter monitoring data and related parameter data belong.

[0015] The safety monitoring method for the electric heating transformer protection system described above includes establishing encryption protection for the storage block.

[0016] As a second aspect of this application, this application provides a safety monitoring system for an electric heating transformer protection system. The system includes: a first data acquisition device for acquiring monitoring data of operating status parameters of each device in the electric heating transformer protection system across multiple business analysis areas, and obtaining associated parameter data for each device; a data transmission device for transmitting and storing the operating status parameter monitoring data and associated parameter data to a data management platform; a data processor for calculating the operational hazard value of the electric heating transformer protection system in the business analysis area based on the collected operating status parameter monitoring data and associated parameter data; and a data comparator for comparing the operational hazard value of the electric heating transformer protection system with a preset first threshold value. If the operational danger value of the electric heating transformer protection system exceeds a preset first threshold, then a comprehensive maintenance of the electric heating transformer protection system is required; otherwise, no comprehensive maintenance is required. The second data acquisition device is used to collect power consumption data and environmental data from the electric heating system's electrical equipment. The data processor is also used to calculate the energy utilization value of the electric heating system based on the power consumption data and environmental data. The data comparator is also used to compare the energy utilization value of the electric heating system with a preset second threshold. If the energy utilization value of the electric heating system is less than the preset second threshold, energy consumption adjustment is performed on the electric heating system's electrical equipment; otherwise, no energy consumption adjustment is required.

[0017] The safety monitoring system for the electric heating transformer protection system described above, wherein the first data acquisition device includes: a power detector, a voltage sensor, a current sensor, and a temperature sensor.

[0018] The safety monitoring system for the electric heating transformer protection system described above, wherein the second data acquisition device includes a power counter, a temperature counter, and a humidity counter.

[0019] The beneficial effects achieved by this application are as follows:

[0020] (1) Based on the monitoring data of operating status parameters and related parameter data collected in the business analysis area, this application calculates the operating hazard value of the electric heating transformer protection system in the business analysis area, thereby assessing the operating status of the electric heating transformer protection system in the business analysis area. When the operating hazard value exceeds the preset first threshold, the electric heating transformer protection system is subjected to safety maintenance, thereby improving the operating safety of the electric heating transformer protection system and ensuring the overall reliable operation of the system.

[0021] (2) Based on the power consumption data and environmental data of the electric heating system equipment, this application calculates the energy utilization ratio of the electric heating system, thereby assessing the energy utilization of the electric heating system. When the energy utilization ratio is lower than the preset second threshold, the energy consumption of the electric heating system equipment is adjusted to improve the energy utilization rate of the electric heating system equipment and reduce the useless power. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings.

[0023] Figure 1 This is a flowchart illustrating a safety monitoring method for an electric heating transformer protection system according to an embodiment of this application.

[0024] Figure 2 This is a flowchart illustrating a method for collecting monitoring data of operating status parameters and associated parameter data of various devices in an electric heating transformer protection system, as described in this application embodiment.

[0025] Figure 3 This is a schematic diagram of the structure of a safety monitoring system for an electric heating transformer protection system according to an embodiment of this application.

[0026] Reference numerals: 10-First data acquisition device; 20-Data transmission device; 30-Data processor; 40-Data comparator; 50-Second data acquisition device; 100-Security monitoring system. Detailed Implementation

[0027] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0028] Example 1

[0029] like Figure 1 As shown, this application provides a safety monitoring method for an electric heating transformer protection system, the method comprising the following steps:

[0030] Step S1: Collect monitoring data of the operating status parameters of each device in the electric heating transformer protection system within multiple business analysis areas, and obtain the associated parameter data of each device.

[0031] like Figure 2 As shown, step S1 includes the following sub-steps:

[0032] Step S110: Set up corresponding data acquisition equipment for each device in the electric heating transformer protection system within multiple business analysis areas.

[0033] Step S120: Collect monitoring data of the operating status parameters of the corresponding device through the set data acquisition equipment.

[0034] Step S130: Obtain the associated parameter data of the device based on the device's operating status parameter monitoring data.

[0035] As a specific embodiment of the present invention, the associated parameter data of the device is obtained based on the current device's operating status parameter monitoring data. That is, the number of other devices whose operating status data is also obtained at the same time as the current device's operating status data is obtained. If the operating status of another device is also within a certain data range of the current device's operating status data, then the operating status of the two devices is related.

[0036] Specifically, multiple data acquisition devices within the Internet of Things (IoT) collect monitoring data and related parameter data of various devices in the electric heating transformer protection system. These data acquisition devices include, for example, voltage sensors, current sensors, power sensors, and temperature sensors. Multiple data acquisition devices from the same electric heating transformer protection system are integrated into the same IoT network, which also includes a gateway. This allows the multiple data acquisition devices to transmit their collected data to the gateway, which then transmits it to the data management platform.

[0037] Specifically, the monitoring data for operating status parameters includes fault data and over-limit data. Fault data includes line leakage, overload, short circuit faults, etc., while over-limit data includes operating voltage over-limit, operating current over-limit, output power over-limit, temperature over-limit, and reactive power over-limit (caused by losses in the power supply transformer and transmission lines), etc.

[0038] Specifically, associated parameter data refers to a situation where the monitoring data of a certain operating status parameter of a certain device exceeds the preset parameter, which causes the monitoring data of the operating status parameter of another device to also exceed the preset parameter. For example, associated parameter data is the number of other devices whose operating parameters are detected by a certain device to exceed the preset threshold, or the number of other devices whose exceeding data of a certain device causes the exceeding data to occur.

[0039] The devices in the electric heating transformer protection system include a transformer detector, a power controller, and a background processor.

[0040] Among them, the transformer detector is installed at the transformer end to monitor the transformer's usage status in real time.

[0041] Among them, the power controller is installed in the household box or floor box and is used to regulate the incoming power of the user.

[0042] The background processor, also known as the background server, compares the detected transformer usage (power) with the preset warning power. When the detected transformer power exceeds the warning power, the background processor sends a command to the power controller to reduce the user's power usage and ensure the normal operation of the transformer.

[0043] As a specific embodiment of the present invention, the background server sets the following parameters: a maximum value A (this value is 5% smaller than the actual maximum value of the transformer), and a set value B, where the set value B is less than A.

[0044] In a specific embodiment of the present invention, the current detector transmits the real-time current of the transformer to the backend server. The backend server compares the detected real-time current with a set value B. When the detected value ≤ B, the backend sends a command to the power controller to keep the power controller operating at maximum power. When A > detected value > B, the server sends a command to the power controller to reduce the control power of the power controller, reducing the total power of the power controller by 10% each time. After the reduction is completed, the current detector detects the real-time power of the transformer. If the real-time power of the transformer is still A > detected value > B, the server continues to send a command to the power controller to reduce the total power by 10%. After the power controller completes this process, it continues to detect the real-time current of the transformer and repeats the above actions until the detected value ≤ B, at which point the action stops and the system operates in this state. The current detector continues to detect the current. When the current is less than 10% of the value B and remains so for 30 minutes, the backend sends a command to the power controller to increase the control power by 5%. After the power controller completes this process, the current detector continues to detect the current. When the current is less than 10% of the value B and remains so for 10 minutes, the server sends a command to the power controller to increase the control power by 5%, and this cycle continues until the power controller returns to its maximum value.

[0045] As a specific embodiment of the present invention, the temperature regulation status control method of each electric heating device is as follows: the control center integrates the information of the power generation side and the power consumption side to determine whether it is necessary to issue a load reduction signal. When it is necessary to reduce the load, the control center sends the reduction signal to the electric heating control terminal, and then the electric heating control terminal sends it to the corresponding gateway of the electric heating device. The gateway converts the load reduction signal into a temperature regulation signal of the electric heating device.

[0046] Step S2: Transmit the monitoring data of the running status parameters and the associated parameter data to the data management platform.

[0047] Step S2 includes the following sub-steps:

[0048] Step S210: Establish storage blocks for each business analysis area on the data management platform.

[0049] Different storage blocks are established for different business analysis areas.

[0050] As a specific embodiment of the present invention, encryption protection is established for each storage block to prevent the data stored in the storage block from being illegally stolen. Encryption protection methods include, for example, key encryption, certificate encryption, or ciphertext encryption.

[0051] Step S220: Identify the business analysis area to which the monitoring data of the operating status parameters and the associated parameter data uploaded to the data management platform belong.

[0052] In a specific embodiment of the present invention, the data acquisition device uploads the collected data (operational status parameter monitoring data and associated parameter data) to the data management platform through a gateway. Based on the business analysis area corresponding to the data acquisition device that uploaded the operation status parameter monitoring data and associated parameter data, the business analysis area to which the operation status parameter monitoring data and associated parameter data transmitted to the data management platform belong is identified.

[0053] Step S230: Based on the business analysis area to which the operation status parameter monitoring data and related parameter data belong, store the operation status parameter monitoring data and related parameter data in the corresponding storage block of the data management platform.

[0054] As a specific embodiment of the present invention, the data collected for each business analysis area is classified and stored in the data management platform.

[0055] Specifically, each business analysis area may be, for example, a factory building, a residence, or a public place. The monitoring data and related parameter data of each device in the electric heating transformer protection system within the same business analysis area are stored together, while the monitoring data and related parameter data of each device in different electric heating transformer protection systems within the same business analysis area are stored in different locations. The data management platform provides a database to store the collected monitoring data and related parameter data.

[0056] Step S3: Based on the monitoring data of operating status parameters and related parameter data collected within the business analysis area, calculate the operating hazard value of the electric heating transformer protection system in the business analysis area.

[0057] Specifically, the data processing platform receives the monitoring data of operating status parameters collected by various data acquisition devices through the gateway. Then, based on the monitoring data of operating status parameters and related parameter data collected in any business analysis area, it calculates the operating hazard value of the electric heating transformer protection system in the current operating state of that business analysis area.

[0058] Specifically, the calculation formula for the operational hazard value of the electric heating transformer protection system is as follows:

[0059]

[0060] Where Wq represents the operational hazard value of the electric heating transformer protection system; f1 represents the impact weight of the fault data; Q represents the total number of devices in the electric heating transformer protection system; Aq represents the total number of fault data types for the q-th device in the electric heating transformer protection system; y qa This represents the danger value of the a-th type of fault data for the q-th device in the electric heating transformer protection system; LG qa The other device correlation factor represents the fault data of the q-th device in the electric heating transformer protection system for the type a fault; f2 represents the influence weight of the out-of-limit data; Rq represents the total number of out-of-limit data types for the q-th device in the electric heating transformer protection system; e qr P represents the weighting factor for the r-th type of out-of-limit data of the q-th device in the electric heating transformer protection system; qr PB represents the measured value of the r-th type of out-of-limit data for the q-th device in the electric heating transformer protection system. qr This represents the standard value corresponding to the r-th type of out-of-limit data of the q-th device in the electric heating transformer protection system; LC qr The other device correlation factor represents the q-th device and the r-th type of out-of-limit data in the electric heating transformer protection system.

[0061] Among them, LG qa =NQ qa +1;

[0062] Among them, NQ qa This indicates the number of other devices that cause the a-type fault data to occur in the q-th device of the electric heating transformer protection system.

[0063] Among them, LC qr =NK qr +1;

[0064] Among them, NK qr This indicates the number of other devices in the electric heating transformer protection system that cause the r-th type of over-limit data to occur due to the q-th device.

[0065] Step S4: Compare the operational hazard value of the electric heating transformer protection system with the preset first threshold. If the operational hazard value of the electric heating transformer protection system is greater than the preset first threshold, then a comprehensive maintenance of the electric heating transformer protection system is required; otherwise, a comprehensive maintenance of the electric heating transformer protection system is not required.

[0066] As a specific embodiment of the present invention, the method for comprehensive maintenance of the electric heating transformer protection system includes: maintaining the transformer detector, power controller and background processor in the electric heating transformer protection system.

[0067] Step S5: Collect power consumption data and environmental data of the electrical equipment in the electric heating system.

[0068] Specifically, the electrical equipment used in electric heating systems includes the electrical heating equipment and the electrical equipment used in the electric heating transformer protection system (e.g., transformer detectors, power controllers, and background processors).

[0069] Specifically, the environmental data includes indoor space volume, indoor ambient temperature (indoor ambient temperature after the electric heating equipment is turned on), indoor ambient humidity (indoor ambient humidity after the electric heating equipment is turned on), initial indoor ambient temperature (indoor temperature when the electric heating equipment is not turned on), and initial indoor ambient humidity (indoor humidity when the electric heating equipment is not turned on).

[0070] Step S6: Calculate the energy utilization value of the electric heating system based on the power consumption data of the electrical equipment and environmental data of the electric heating system.

[0071] Specifically, the formula for calculating the energy utilization value of an electric heating system is as follows:

[0072]

[0073] Where Z represents the energy utilization value of the electric heating system; V represents the indoor space volume; α1 represents the influence weight of ambient temperature; α2 represents the influence weight of ambient humidity; c1 represents the set standard indoor ambient temperature; c0 represents the initial indoor ambient temperature; s1 represents the indoor ambient humidity at the end of sampling; s2 represents the initial indoor ambient humidity; N represents the total number of electric heating devices; M represents the total number of electrical devices in the electric heating transformer protection system; P 1 i P represents the electricity consumption of the i-th electric heating device within the sampling time; 2 j T1 represents the power consumption value of the j-th electrical equipment in the electric heating transformer protection system during the sampling time; T1 represents the time from the initial indoor ambient temperature to the set indoor standard ambient temperature. It can be understood that the sampling process collects power consumption data of the electric heating system's electrical equipment during the period from the initial indoor ambient temperature to the set indoor standard ambient temperature. Indoor ambient humidity refers to the indoor ambient humidity corresponding to when the indoor ambient temperature reaches the set indoor standard ambient temperature (at the end of sampling). Sampling ends when the indoor ambient temperature reaches the set indoor standard ambient temperature.

[0074] Step S7: Compare the energy utilization value of the electric heating system with the preset second threshold. If the energy utilization value of the electric heating system is less than the preset second threshold, adjust the energy consumption of the electric heating system equipment. Otherwise, there is no need to adjust the energy consumption of the electric heating system equipment.

[0075] As a specific embodiment of the present invention, the energy consumption regulation method includes, for example, lowering the indoor standard ambient temperature or inspecting the electric heating equipment (checking for leakage).

[0076] Example 2

[0077] like Figure 3 As shown, this application provides a safety monitoring system 100 for an electric heating transformer protection system, the system comprising:

[0078] The first data acquisition device 10 is used to collect monitoring data of the operating status parameters of each device in the electric heating transformer protection system within multiple business analysis areas, and to obtain the associated parameter data of each device.

[0079] The data transmission device 20 is used to transmit and store the monitoring data of the operating status parameters and related parameters to the data management platform.

[0080] The data processor 30 is used to calculate the operational hazard value of the electric heating transformer protection system in the business analysis area based on the monitoring data of the operating status parameters and the associated parameter data collected in the business analysis area.

[0081] The data comparator 40 is used to compare the operating danger value of the electric heating transformer protection system with the preset first threshold. If the operating danger value of the electric heating transformer protection system is greater than the preset first threshold, then the electric heating transformer protection system needs to be fully maintained; otherwise, there is no need to perform full maintenance on the electric heating transformer protection system.

[0082] The second data acquisition device 50 is used to collect power consumption data and environmental data of the electrical equipment in the electric heating system.

[0083] The data processor 30 is also used to calculate the energy utilization value of the electric heating system based on the power consumption data of the electrical equipment in the electric heating system and environmental data.

[0084] The data comparator 40 is also used to compare the energy utilization value of the electric heating system with the preset second threshold. If the energy utilization value of the electric heating system is less than the preset second threshold, the energy consumption of the electric heating system equipment is adjusted; otherwise, there is no need to adjust the energy consumption of the electric heating system equipment.

[0085] The first data acquisition device 10 includes: a power detector, a voltage sensor, a current sensor, and a temperature sensor.

[0086] The second data acquisition device 20 includes a power counter, a temperature counter, and a humidity counter.

[0087] This application also provides a computer storage medium storing computer instructions, which, when invoked, are used to execute the safety monitoring method for the electric heating transformer protection system. The computer storage medium contains one or more program instructions, which are executed by a processor to provide a safety monitoring method for an electric heating transformer protection system.

[0088] The embodiments disclosed in this invention provide a computer-readable storage medium storing computer program instructions. When the computer program instructions are executed on a computer, the computer performs the aforementioned safety monitoring method for an electric heating transformer protection system.

[0089] This invention provides a processor for processing the above-described safety monitoring method for an electric heating transformer protection system.

[0090] In this embodiment of the invention, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0091] The various methods, steps, and logic diagrams disclosed in the embodiments of this invention can be implemented or executed. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The processor reads information from the storage medium and, in conjunction with its hardware, completes the steps of the above methods.

[0092] The storage medium can be memory, such as volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.

[0093] The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EEPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM).

[0094] The beneficial effects achieved by this application are as follows:

[0095] (1) Based on the monitoring data of operating status parameters and related parameter data collected in the business analysis area, this application calculates the operating hazard value of the electric heating transformer protection system in the business analysis area, thereby assessing the operating status of the electric heating transformer protection system in the business analysis area. When the operating hazard value exceeds the preset first threshold, the electric heating transformer protection system is subjected to safety maintenance, thereby improving the operating safety of the electric heating transformer protection system and ensuring the overall reliable operation of the system.

[0096] (2) Based on the power consumption data and environmental data of the electric heating system equipment, this application calculates the energy utilization value of the electric heating system, thereby assessing the energy utilization of the electric heating system. When the energy utilization value is lower than the preset second threshold, the energy consumption of the electric heating system equipment is adjusted to improve the energy utilization rate of the electric heating system equipment and reduce the useless power.

[0097] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0098] In the description of this application, the word "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0099] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A safety monitoring method for an electric heating transformer protection system, characterized in that, The method includes the following steps: Collect monitoring data of the operating status parameters of each device in the electric heating transformer protection system within multiple business analysis areas, and obtain the associated parameter data of each device; The monitoring data for operating status parameters includes: fault data and over-limit data; fault data includes: line leakage, overload, and short circuit faults; over-limit data includes: operating voltage over-limit, operating current over-limit, output power over-limit, temperature over-limit, and reactive power over-limit; associated parameter data is the number of other devices whose operating parameters exceed the preset threshold detected by a certain device, or the number of other devices whose over-limit data of a certain device causes that over-limit data to occur. The monitoring data of the operating status parameters and related parameters are transmitted and stored in the data management platform; Based on the monitoring data of operating status parameters and related parameter data collected within the business analysis area, calculate the operating hazard value of the electric heating transformer protection system in the business analysis area. Compare the operational hazard value of the electric heating transformer protection system with the preset first threshold. If the operational hazard value of the electric heating transformer protection system is greater than the preset first threshold, then a comprehensive maintenance of the electric heating transformer protection system is required; otherwise, a comprehensive maintenance of the electric heating transformer protection system is not required. Collect power consumption data and environmental data of the electric heating system's electrical equipment; among which, power consumption data refers to the power consumption data of the electric heating system's electrical equipment during the process from the initial indoor ambient temperature to the set indoor standard ambient temperature; environmental data includes indoor space volume, indoor ambient temperature, indoor ambient humidity, initial indoor ambient temperature, and initial indoor ambient humidity; Calculate the energy utilization value of the electric heating system based on the power consumption data and environmental data of the electrical equipment in the electric heating system. Compare the energy utilization value of the electric heating system with the preset second threshold. If the energy utilization value of the electric heating system is less than the preset second threshold, adjust the energy consumption of the electric heating system equipment. Otherwise, there is no need to adjust the energy consumption of the electric heating system equipment.

2. The safety monitoring method for the electric heating transformer protection system according to claim 1, characterized in that, Collecting monitoring data of operating status parameters of each device in the electric heating transformer protection system within multiple business analysis areas, and obtaining the associated parameter data of each device includes the following sub-steps: Set up corresponding data acquisition devices for each device in the electric heating transformer protection system within multiple business analysis areas; The corresponding device's operating status parameter monitoring data is collected through the set data acquisition equipment; Based on the monitoring data of the device's operating status parameters, obtain the associated parameter data of the device.

3. The safety monitoring method for the electric heating transformer protection system according to claim 1, characterized in that, The devices in the electric heating transformer protection system include a transformer detector, a power controller, and a background processor; The transformer detector is installed at the transformer end to monitor the transformer's operating status in real time. The power controller is installed in the household box or floor box and is used to adjust the incoming power of the user. The background processor is used to issue an instruction to the power controller to reduce the power used by the user when it detects that the power of the transformer exceeds the warning power.

4. The safety monitoring method for the electric heating transformer protection system according to claim 1, characterized in that, The electrical equipment used in the electric heating system includes the electrical heating equipment and the electrical equipment used in the electric heating transformer protection system.

5. The safety monitoring method for the electric heating transformer protection system according to claim 4, characterized in that, The formula for calculating the energy utilization value of an electric heating system is as follows: ; in, This indicates the energy utilization value of the electric heating system; Indicates the volume of indoor space; Indicates the weight of the influence of ambient temperature; Indicates the weight of the influence of ambient humidity; Indicates the standard indoor ambient temperature; Indicates the initial indoor ambient temperature; This indicates the indoor humidity at the end of the sampling process; Indicates the initial indoor humidity; This indicates the total number of electric heating devices; This indicates the total number of electrical devices used in the electric heating transformer protection system. Indicates the first time within the sampling period Electricity consumption of each electric heating device; Indicates the first time within the sampling period Electricity consumption of equipment in the protection system of an electric heating transformer; This indicates the time taken from the initial indoor ambient temperature to the set indoor standard ambient temperature.

6. The safety monitoring method for the electric heating transformer protection system according to claim 1, characterized in that, Methods for storing operational status parameter monitoring data and related parameter data to a data management platform include: Establish storage blocks for each business analysis area in the data management platform; Identify the business analysis area to which the monitoring data of operational status parameters and related parameter data uploaded to the data management platform belong; Based on the business analysis area to which the operational status parameter monitoring data and related parameter data belong, the operational status parameter monitoring data and related parameter data are stored in the corresponding storage blocks of the data management platform.

7. The safety monitoring method for the electric heating transformer protection system according to claim 6, characterized in that, Encryption protection is established for the storage block.

8. A safety monitoring system for an electric heating transformer protection system, characterized in that, The system includes: The first data acquisition device is used to collect monitoring data of the operating status parameters of each device in the electric heating transformer protection system within multiple business analysis areas, and to obtain the associated parameter data of each device. A data transmission device is used to transmit and store operational status parameter monitoring data and related parameter data to a data management platform. The data processor is used to calculate the operational hazard value of the electric heating transformer protection system in the business analysis area based on the monitoring data and related parameter data of the operating status parameters collected in the business analysis area. The data comparator is used to compare the operational danger value of the electric heating transformer protection system with the preset first threshold. If the operational danger value of the electric heating transformer protection system is greater than the preset first threshold, then the electric heating transformer protection system needs to be fully maintained; otherwise, there is no need to perform full maintenance on the electric heating transformer protection system. The second data acquisition device is used to collect power consumption data and environmental data of the electrical equipment in the electric heating system. The data processor is also used to calculate the energy utilization value of the electric heating system based on the power consumption data of the electrical equipment and environmental data of the electric heating system. The data comparator is also used to compare the energy utilization value of the electric heating system with the size of a preset second threshold. If the energy utilization value of the electric heating system is less than the preset second threshold, the energy consumption of the electric heating system equipment is adjusted; otherwise, there is no need to adjust the energy consumption of the electric heating system equipment. The monitoring data for operating status parameters includes: fault data and over-limit data; fault data includes: line leakage, overload, and short circuit faults; over-limit data includes: operating voltage over-limit, operating current over-limit, output power over-limit, temperature over-limit, and reactive power over-limit; associated parameter data is the number of other devices whose operating parameters exceed the preset threshold detected by a certain device, or the number of other devices whose over-limit data of a certain device causes that over-limit data to occur. Among them, the electricity consumption data refers to the electricity consumption data of the electric heating system's electrical equipment during the process from the initial indoor ambient temperature to the set indoor standard ambient temperature; the environmental data includes indoor space volume, indoor ambient temperature, indoor ambient humidity, initial indoor ambient temperature, and initial indoor ambient humidity.

9. The safety monitoring system for the electric heating transformer protection system according to claim 8, characterized in that, The first data acquisition device includes: a power detector, a voltage sensor, a current sensor, and a temperature sensor.

10. The safety monitoring system for the electric heating transformer protection system according to claim 8, characterized in that, The second data acquisition device includes a power counter, a temperature counter, and a humidity counter.