Novel intelligent instrumented electric energy meter

Abstract

The utility model discloses a novel intelligent instrumented electric energy meter, which relates to the technical field of electric energy meters, and adopts the following scheme that the novel intelligent instrumented electric energy meter comprises a metering module, a management module and an insertable expansion module, a metering chip and a sampling device are arranged in the metering module, and the metering module and the whole machine cannot be detached; the management module comprises a management chip, a display part, a Bluetooth part and the like, can run an embedded real-time multi-task operation system, is responsible for data management of the electric energy meter, module management and data interaction among modules, is detachable from the whole machine, and can timely find out environmental factors which possibly influence the electric energy meter through the arrangement of the environment detection module, so that the electric energy meter can be conveniently and rapidly managed. When the reported fault is accompanied by an abnormal environmental factor, the environmental factor can be used as one of reasons for causing the fault, so that the working efficiency of maintenance personnel is improved; the fault report enables the maintenance personnel to know the fault of the electric meter in time, and can better distribute tasks to maintain the level.

Description

Technical Field

[0001] This utility model relates to the field of electricity meter technology, and in particular to a novel smart IoT electricity meter. Background Technology

[0002] With the continuous development and popularization of smart IoT technology, electricity meters have gradually transformed from traditional mechanical electricity meters to smart electricity meters. A smart single-phase IoT electricity meter is an intelligent power metering terminal device. It can realize electricity metering, peak-valley pricing, tiered pricing, real-time pricing and other electricity billing methods through IoT technology. At the same time, it can also monitor grid voltage, current, power factor, load and other parameters, realize remote intelligent management and alarm warning functions, and has broad application prospects.

[0003] While existing electricity meters are connected to concentrators, and these concentrators can monitor the meters in real time, they generally only have communication and simple fault detection functions. They lack functions such as temperature and humidity detection, smoke detection, salt spray detection, and magnetic field detection. Therefore, a new type of smart IoT electricity meter is proposed. Utility Model Content

[0004] The purpose of this utility model is to provide a new type of smart IoT energy meter, which solves the problem that existing energy meters usually only have the function of reporting power outages, making it inconvenient to report abnormalities to the power bureau in a timely manner.

[0005] To achieve the above objectives, this utility model provides the following technical solution: a novel smart IoT energy meter, comprising a metering module, a management module, and an insertable expansion module. The metering module has a metering chip and a sampling device installed inside, and is not detachable from the main unit. The management module includes a management chip, a display, Bluetooth, and other components, and is capable of running an embedded real-time multi-tasking operating system. It is responsible for the energy meter's data management, module management, and data interaction between modules, and is detachable from the main unit.

[0006] The pluggable expansion module includes a communication module located in the middle of the metering module, and an environmental detection module and a fault detection module located on the side of the communication module. The communication module includes a communication module and a fault detection module. The concentrator is connected to the communication module via an HPLC carrier or wireless signal. The environmental detection module includes a temperature and humidity sensor, a salt spray sensor, a smoke sensor, and a high-frequency magnetic field interference detection module. The temperature and humidity sensor, salt spray sensor, smoke sensor, and high-frequency magnetic field interference detection module are integrated within the environmental detection module. The fault detection module is mainly used to detect whether the electricity meter is malfunctioning or running away, whether the voltage and current are normal, whether the clock is normal, and whether the carrier line is interfered with.

[0007] Preferably, an environmental detection module is installed between the communication module and the fault detection module. The fault detection module identifies faults by detecting the working voltage signal, current signal, carrier signal, and digital signal of each part of the meter.

[0008] Preferably, the environmental detection module collects data through four built-in sensor modules: temperature and humidity sensor, salt spray sensor, smoke sensor and magnetic field interference detection module, to determine whether damage is caused by salt spray corrosion, excessively high or low temperature, rainwater penetration, or fire environmental factors.

[0009] Preferably, the communication module can use G wireless communication, HPLC carrier communication, or dual-mode communication.

[0010] Preferably, the communication module, environmental detection module, and fault detection module interact with the management module via serial communication to exchange data information.

[0011] Preferably, the different data feedback from the environmental monitoring module and the fault detection module provides on-site targeted operation and maintenance data.

[0012] Compared with the prior art, the beneficial effects of this utility model are:

[0013] By incorporating a communication module, the electricity meter, in addition to its basic smart meter structure, includes an environmental detection module and a fault detection module. The environmental detection module's temperature and humidity sensors detect the temperature and humidity of the environment in which the meter is located. A salt spray sensor effectively monitors the salt content in the salt spray environment, providing corresponding environmental protection and anti-corrosion measures to prevent corrosion and mold growth. A smoke sensor effectively detects smoke concentration, and a high-frequency magnetic field interference detection module effectively detects magnetic field effects, preventing the equipment from being interfered with by high-frequency magnetic fields. These sensors send electrical signals to the environmental detection module, which converts these signals into analog signals and performs calculations and analysis. When extreme environments occur, such as internal rainwater infiltration, direct sunlight exposure, fire, or salt spray corrosion, the module detects abnormal environmental data and reports these anomalies to the concentrator via the fault detection module. These extreme environmental factors often cause management module malfunctions. Maintenance personnel can refer to abnormal environmental data to better and faster analyze potential causes of malfunctions. Furthermore, the device has multiple expandable module interfaces, and the detection modules are pluggable.

[0014] 2. By setting up an environmental detection module, including temperature and humidity sensors, smoke sensors, salt spray sensors, and high-frequency magnetic field interference detection modules, potential environmental factors that may affect the electricity meter can be detected in a timely manner. This reduces safety hazards. Furthermore, when a reported fault is accompanied by abnormal environmental factors, these factors can be considered as one of the causes of the fault, thereby improving the work efficiency of maintenance personnel. Fault reporting allows maintenance personnel to be informed of meter malfunctions in a timely manner, enabling better task allocation for repairs. In addition, the information reported by the meter also includes fault information, allowing maintenance personnel to better diagnose and repair the meter. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the overall internal structure of a novel smart IoT energy meter according to this utility model;

[0016] Figure 2 This is a schematic diagram of the external front view of a novel smart IoT energy meter according to this utility model;

[0017] Figure 3 This is a schematic diagram of the external rear view structure of a novel smart IoT energy meter according to this utility model;

[0018] Figure 4 This is a schematic diagram of the overall structure of a novel smart IoT energy meter according to this utility model;

[0019] Figure 5 This is a schematic diagram of the environmental fault detection process for a novel smart IoT energy meter according to this utility model.

[0020] In the diagram: 1. Metering module; 2. Management module; 3. Communication module; 4. Environmental monitoring module; 401. Temperature and humidity sensor; 402. Salt spray sensor; 403. Smoke sensor; 404. High-frequency magnetic field interference detection module; 5. Fault detection module; 6. Concentrator. Detailed Implementation

[0021] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0022] like Figure 1-5As shown in the figure, a new type of smart IoT energy meter includes a metering module 1, a management module 2, and an insertable expansion module. The metering module 1 is characterized by having a metering chip and a sampling device installed inside, and is not detachable from the whole machine. The management module 2 includes a management chip, a display, Bluetooth and other components, and is capable of running an embedded real-time multi-tasking operating system. It is responsible for the data management of the energy meter, module management and data interaction between modules, and is detachable from the whole machine.

[0023] The pluggable expansion module includes a communication module 3 located in the middle of the metering module 1, and an environmental detection module 4 and a fault detection module 5 located on the side of the communication module 3. The communication module 3 includes a communication module and a fault detection module. The concentrator 6 is connected to the communication module 3 via an HPLC carrier wave or a wireless signal. The environmental detection module 4 includes a temperature and humidity sensor 401, a salt spray sensor 402, a smoke sensor 403, and a high-frequency magnetic field interference detection module 404. The temperature and humidity sensor 401, salt spray sensor 402, smoke sensor 403, and high-frequency magnetic field interference detection module 404 are integrated into the environmental detection module 4. The fault detection module 5 is mainly used to detect whether the electricity meter is frozen or running out of control, whether the voltage and current are normal, whether the clock is normal, and whether the carrier line is interfered with.

[0024] An environmental detection module 4 is installed between the communication module 3 and the fault detection module 5. The fault detection module 5 identifies faults by detecting the working voltage signal, current signal, carrier signal, and digital signal of each part of the meter.

[0025] The environmental detection module 4 collects data through four built-in sensor modules: temperature and humidity sensor 401, salt spray sensor 402, smoke sensor 403, and magnetic field interference detection module 404, to determine whether damage is caused by salt spray corrosion, excessively high or low temperature, rainwater penetration, or fire environmental factors.

[0026] Communication module 3 can use 4G wireless communication, HPLC carrier communication, or dual-mode communication.

[0027] Communication module 3, environmental detection module 4, and fault detection module 5 interact with management module 2 via serial communication to exchange data information.

[0028] The different data feedback from the environmental monitoring module 4 and the fault detection module 5 provide on-site, targeted operation and maintenance data.

[0029] Working Principle: First, in addition to the basic structure of a smart meter, the communication module 3 is supplemented with an environmental detection module 4 and a fault detection module 5. The environmental detection module 4 includes a temperature and humidity sensor 401, a salt spray sensor 402, a smoke sensor 403, and a high-frequency magnetic field interference detection module 404. These sensors are integrated into the environmental detection module 4. Specifically, the temperature and humidity sensor 401 detects the temperature and humidity of the environment in which the meter is located. The salt spray sensor 402 effectively monitors the salt content in the salt spray environment, providing corresponding environmental protection and corrosion prevention, effectively preventing corrosion and mold growth. The smoke sensor 403 effectively detects smoke concentration. The high-frequency magnetic field interference detection module 404 effectively detects magnetic field influences, preventing the equipment from being interfered with by high-frequency magnetic fields. These sensors send electrical signals to the environmental detection module 4, which converts the electrical signals into analog signals and performs calculations and analyses on them. When extreme environments such as internal salt spray corrosion, rainwater penetration, sun exposure, or fire occur, the module will detect abnormal environmental data and report the abnormal environmental conditions to the concentrator 6 through the fault detection module 5. These extreme environmental factors often cause malfunctions in the management module 2. When analyzing the cause of the malfunction, maintenance personnel can refer to the abnormal environmental data to better and faster analyze the possible causes of the malfunction. First, the communication module 3 identifies faults by detecting the working current of each part of the meter. It can read the faults identified and stored by the meter itself. Faults that the communication module 3 can detect include low battery voltage, internal program errors, and meter crashes, and report the fault information through the fault detection module 5.

[0030] Secondly, the fault detection module 5 uses 4G wireless communication; the environmental detection module 4, communication module 3, and fault detection module 5 are placed inside the electricity meter. The communication module 3, environmental detection module 4, and fault detection module 5 communicate with each other via RS485. The communication module 3 detects the operating current in the management module 2 through the power line and reads the faults stored in the management module 2 via RS485. The detection system uses Alibaba Cloud IoT cloud platform or other cloud platforms. The communication protocol between the cloud platform and the fault detection module 5 is the MQTT protocol. The cloud platform can perform big data analysis on the collected fault data and environmental data and can predict the faults that will occur. The wireless communication module 5 can be replaced by other modules, such as Zigbee module, LoRa module, low-frequency or high-frequency fault detection module, as long as it can be connected to the concentrator 6.

[0031] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0032] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A new intelligent electric energy meter, comprising a metering module (1), a management module (2) and a pluggable expansion module, characterized in that: The inside of the metering module (1) is installed with a metering chip and a sampling device, which is not detachable from the whole machine, and the management module (2) includes a management chip, a display, and Bluetooth, can run an embedded real-time multi-task operating system, is responsible for data management of the electric energy meter, module management, and data interaction between modules, and is detachable from the whole machine. The insertable expansion module includes a communication module (3) arranged in the middle of the metering module (1), and an environment detection module (4) and a fault detection module (5) arranged on the side of the communication module (3), the communication module (3) contains a communication module and a fault detection module, the concentrator (6) is connected with the communication module (3) through HPLC carrier or wireless signal, the environment detection module (4) includes a temperature and humidity sensor (401), a salt spray sensor (402), a smoke sensor (403), and a high-frequency magnetic field interference detection module (404), the temperature and humidity sensor (401), the salt spray sensor (402), the smoke sensor (403), and the high-frequency magnetic field interference detection module (404) are integrated in the environment detection module (4), and the fault detection module (5) is mainly used for detecting whether the electric energy meter is dead or runaway, whether the voltage and current are normal, whether the clock is normal, and whether the carrier line is disturbed.

2. The new intelligent electric energy meter of claim 1, characterized in that: The environment detection module (4) is installed between the communication module (3) and the fault detection module (5), and the fault detection module (5) identifies faults by detecting the working voltage signal, the current signal, the carrier signal, and the digital signal of each part of the electric meter.

3. The new intelligent electric energy meter of claim 2, characterized in that: Four groups of sensor modules in the environment detection module (4), i.e. the temperature and humidity sensor (401), the salt spray sensor (402), the smoke sensor (403), and the magnetic field interference detection module (404), collect data to determine whether salt spray erosion, too high or too low temperature, rainwater immersion, or fire environmental factors cause damage.

4. The new intelligent electric energy meter of claim 1, characterized in that: The communication module (3) can adopt 4G wireless communication, or HPLC carrier communication, or dual-mode communication.

5. The new intelligent electric energy meter of claim 4, characterized in that: The communication module (3), the environment detection module (4), and the fault detection module (5) interact with the management module (2) through serial communication to exchange data information.

6. The new intelligent electric energy meter of claim 5, characterized in that: Different data feedback of the environment detection module (4) and the fault detection module (5) provides on-site targeted operation and maintenance data basis.

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