Intelligent electric energy metering box

Abstract

The invention relates to the field of electric energy metering boxes, in particular to an intelligent electric energy metering box which comprises a shell, the shell is used for installing electrical equipment therein, a sinking groove is formed in the side wall of the shell, heat dissipation holes are formed in the bottom wall of the sinking groove in a penetrating mode, and a rainproof cover is further arranged on the bottom wall of the sinking groove. The rainproof cover extends downwards from the inner wall of the upper end of the heat dissipation hole so as to shield the opening face of the heat dissipation hole, a lower opening is formed between the rainproof cover and the bottom wall of the sinking groove, the lower opening is located below the heat dissipation hole and communicated with the heat dissipation hole, and the whole rainproof cover is located in the sinking groove. The method has the effect of reducing the probability of water inflow.

Description

Technical Field

[0001] The present application relates to the field of electric energy metering boxes, and in particular to an intelligent electric energy metering box. Background Art

[0002] An electric energy meter box is a device used to measure and record electric energy consumption in a power system. It usually includes components such as an electric meter, a circuit breaker, and a relay, and can provide protection for the safe and stable operation of the power system.

[0003] Once the energy meter is damaged, technicians need to go to the site for troubleshooting. If they do not bring the corresponding tools or new equipment, they may need to make a second trip, which is troublesome. Energy meters usually require heat dissipation performance to dissipate heat and cool down the meters and other equipment in the shell. If it rains, rainwater can easily enter through the heat dissipation holes, greatly increasing the probability of leakage and short circuit, posing a safety hazard. Summary of the invention

[0004] In order to improve the problem of rainwater entering through the heat dissipation holes, the present application provides a smart electric energy metering box.

[0005] The present application provides a smart electric energy meter box, which adopts the following technical solution: A smart electric energy meter box comprises a shell, wherein the shell is used for installing electric equipment therein, a trough is provided on the side wall of the shell, a heat dissipation hole is penetrated through the bottom wall of the trough, a rain cover is also provided on the bottom wall of the trough, the rain cover extends downward from the upper inner wall of the heat dissipation hole to cover the opening surface of the heat dissipation hole, a lower opening is formed between the rain cover and the bottom wall of the trough, the lower opening is below the heat dissipation hole, and the lower opening is connected to the heat dissipation hole, and the rain cover is entirely in the trough.

[0006] By adopting the above technical solution, the heat dissipation holes are protected by the rainproof cover, and then connected to the heat dissipation holes through the lower opening for heat dissipation, and it is difficult for rainwater to enter the heat dissipation holes from the lower opening. At the same time, the rainproof cover is sunk into the side wall of the shell through the sinking groove, which greatly reduces the probability of rainwater directly contacting the rainproof cover, and further reduces the probability of water entering from the heat dissipation holes, thereby playing a protective role.

[0007] Optionally, a humidity sensor for detecting and obtaining humidity detection data, a smoke sensor for detecting and obtaining smoke detection data, an electric energy sensor for detecting and obtaining electric energy detection data, and a data processing module for performing data processing are provided in the shell; the humidity sensor is provided on the lower end inside the shell, the smoke sensor is provided on the upper end inside the shell and on the edge of the heat dissipation hole, the electric energy sensor is electrically connected to the electrical equipment in the shell, and the data processing module receives the humidity detection data, the smoke detection data, and the electric energy detection data, performs data calculations, and obtains signals to output to the user.

[0008] By adopting the above technical solution, the humidity detection data, smoke detection data and power detection data are automatically detected, and then the data are automatically calculated, and the cause of the fault is automatically determined for the user, so as to facilitate maintenance and also facilitate the user to monitor the working status.

[0009] The present application provides a detection method for an intelligent electric energy meter box, which adopts the following technical solution: A detection method for an intelligent electric energy meter box, comprising: Acquire the electric energy detection data, acquire time data, voltage detection data and current detection data of the electric energy detection data packet; Determine voltage trend data through the voltage detection data and the time data; Determine current trend data through the current detection data and the time data; A short circuit signal, a leakage signal or an overload signal is determined by the voltage trend data and the current trend data, and outputted.

[0010] By adopting the above technical solution, the cause of the fault is automatically determined, whether it is a short circuit, leakage or overload, so that users can carry corresponding maintenance tools for maintenance, which is convenient and fast, and improves maintenance efficiency.

[0011] Optionally, determining the leakage signal through the voltage trend data and the current trend data includes: Acquiring the humidity detection data; Determine a leakage signal through the voltage trend data, the current trend data, a preset leakage reduction threshold, and a preset leakage fluctuation threshold; Determine a cutoff signal through the leakage signal, the humidity detection data, and a preset dryness threshold value and output it; A full-off signal is determined and outputted according to the leakage signal, the humidity detection data, and a preset humidity threshold.

[0012] By adopting the above technical solution, when leakage occurs, the corresponding line can be automatically judged and disconnected, and the control is more precise.

[0013] Optional, including: Acquiring the smoke detection data; Determine smoke change speed data through the smoke detection data and the time data; Determine humidity smoke data through the humidity detection data and a preset smoke threshold; Determine actual smoke generation speed data through the smoke change speed data and the humidity smoke data; The line table fault type signal is determined and outputted through the humidity detection data, the leakage signal, the actual smoke generation speed data, and a preset smoke speed threshold.

[0014] By adopting the above technical solution, when leakage occurs, the damage caused by the leakage is automatically determined, and whether the fault damages the wire or the electrical equipment is output to the user, so that the user can bring the corresponding wire or electrical equipment for repair or replacement, thereby reducing the probability of the user carrying too many useless repair tools or replacement electrical equipment, greatly improving the convenience of the user and improving efficiency.

[0015] Optional, including: Determining leakage degree data through the humidity detection data, the actual smoke generation speed data, and a preset leakage degree threshold; Determine the surrounding impact data through the leakage degree data, the humidity detection data, and a preset arc impact threshold; A protection shutdown signal is determined and outputted based on the surrounding influence data and a preset conductor device distribution threshold.

[0016] By adopting the above technical solution, only the affected lines are disconnected to provide protection while allowing other lines to operate normally, greatly improving the accuracy of circuit breaker control and reducing the probability of regional power outages caused by the entire circuit breaker.

[0017] Optional, including: Determine and record the conductor equipment damage data by using the surrounding impact data, the conductor equipment distribution threshold, and the preset impact degree threshold; Determine and output a warning signal based on the wire equipment damage data; A damage signal is determined and outputted based on a plurality of the conductor device damage data and a preset damage threshold.

[0018] By adopting the above technical solution, the degree of damage that is not directly affected by the arc but is indirectly affected is automatically determined. When it accumulates to a certain extent and faults occur in other locations, the user is notified to repair them together, thereby reducing the probability of future damage affecting circuit operation and improving work efficiency.

[0019] The present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and executed by a detection method of an intelligent electric energy meter box.

[0020] By adopting the above technical solution, the computer program is stored in a computer-readable storage medium.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. It greatly reduces the probability of rainwater directly contacting the rain cover, and further reduces the probability of water entering from the heat dissipation holes, thus playing a protective role.

[0022] 2. Automatically determine the cause of the fault, whether it is short circuit, leakage or overload, so that users can carry out maintenance with the corresponding maintenance tools, which is convenient and fast, and improves maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a front view of an intelligent electricity meter box in Example 1 of the present application.

[0024] Figure 2 It is a side view highlighting the sink.

[0025] Figure 3 This is a module schematic diagram of an intelligent electricity meter box in Example 2 of the present application.

[0026] Figure 4 It is a flow chart of a detection method for an intelligent electric energy meter box in Example 2 of the present application.

[0027] Figure 5 It is a flowchart of step S2.

[0028] Figure 6 It is a flowchart of step S3.

[0029] Figure 7 It is a flowchart of step S4.

[0030] Figure 8 It is a flowchart diagram of step S5.

[0031] Explanation of the reference numerals: 1. Shell; 11. Sink; 12. Heat dissipation hole; 13. Rainproof cover; 14. Lower opening; 2. Humidity sensor; 21. Smoke sensor; 22. Electric energy sensor; 23. Data processing module. DETAILED DESCRIPTION

[0032] The following is combined with Figure 1-8 This application is described in further detail.

[0033] Embodiment 1 of the present application discloses a smart electric energy meter box. Figure 1 and Figure 2 The smart electric energy meter box includes a shell 1, and the shell 1 is used for installing electric equipment inside. The side wall of the shell 1 used for installation on the wall is the bottom, the top is opposite to the bottom, the direction of gravity is downward, and the direction opposite to the downward is upward. The bottom of the shell 1 adopts an insulating board, the top of the shell 1 adopts a transparent PC board, and a door lock is installed as an opening and closing door. A sink 11 is provided on the side wall of the shell 1. The sink 11 is recessed into the inside of the shell 1 rather than penetrating therethrough. A plurality of heat dissipation holes 12 are penetrated on the bottom wall of the sink 11. The heat dissipation holes 12 connect the inside of the shell 1 with the outside. A plurality of rainproof covers 13 are also fixedly connected to the bottom wall of the sink 11. The rainproof covers 13 correspond to the heat dissipation holes 12 one by one. The rainproof covers 13 extend obliquely downward from the upper inner wall of the heat dissipation holes 12, that is, the rainproof covers 13 extend in a direction that is farther away from the opening surface of the heat dissipation holes 12 as they go downward, thereby blocking the opening surface of the heat dissipation holes 12. A lower opening 14 is formed between the rainproof cover 13 and the bottom wall of the sink 11. The lower opening 14 faces downward. The height position of the lower opening 14 is below the height position of the heat dissipation holes 12, and the lower opening 14 is connected to the heat dissipation holes 12. The rainproof covers 13 are all in the sink 11.

[0034] Embodiment 2: Different from Example 1, Figure 1 and Figure 3 , Embodiment 2 of the present application discloses a smart electric energy meter box. Figure 1 The intelligent electric energy meter box includes: a plurality of humidity sensors 2, a plurality of smoke sensors 21, a plurality of electric energy sensors 22 and a data processing module 23 are installed in a shell 1, the humidity sensor 2 adopts a humidity sensor, the humidity sensor 2 is used to detect and obtain humidity detection data, the smoke sensor 21 adopts a smoke sensor, the smoke sensor 21 is used to detect and obtain smoke detection data, the data processing module 23 is used to detect and obtain the electric energy detection data of the electric energy sensor 22 and is used for data processing, the data processing module 23 includes a processor and a database, the database is used to store various threshold data, such as leakage reduction threshold, leakage fluctuation threshold, dryness threshold, humidity threshold, smoke threshold, smoke speed threshold, leakage degree threshold, arc influence threshold, conductor equipment distribution threshold, damage threshold and other threshold data, the processor receives humidity value data, smoke detection data and electric energy detection data, and calls the corresponding threshold from the database for calculation, so as to obtain and output various signal data, such as damage signal, protection shutdown signal, line table fault type signal, one break signal, full break signal, short circuit signal, leakage signal, overload signal and the like.

[0035] The processor may include a central processing unit such as a CPU or MPU or a host system built around a CPU or MPU, including hardware or software. After the meter has a processor, people can freely control the metering instrument through programming to make it run according to people's wishes. The processor can control local measurement transmission, remote measurement transmission, remote communication, etc. through internal protocols. Internal protocols refer to all protocols that achieve mutual communication or links within the same metering instrument or the same system, including: human-computer interaction protocols, software / hardware (interface) protocols, chip bus (C-Bus) protocols, internal bus (I-Bus) protocols, etc. Part or all of the protocols. With the development of integrated circuit technology, some protocols that belong to the external bus (E-Bus) protocol are also classified as internal protocols after the external bus (E-Bus) is integrated into the chip.

[0036] Reference Figure 1 and Figure 3 The humidity sensor 2 is installed on the lower inner wall and the upper inner wall of the shell 1. That is, if water enters, for example, gaseous water accumulates and liquefies, or rainwater enters, it will flow down to the lower inner wall of the shell under the action of gravity, so that the humidity sensor 2 can contact it at the first time, and the humidity sensor 2 located on the upper inner wall is used to detect the gaseous water floating upward. The humidity detection data detected by the two humidity sensors 2 is taken as the humidity detection data participating in the calculation. The smoke sensor 21 is installed on the upper end of the shell 1 and the edge of the heat dissipation hole 12, so that the smoke floating upward or floating outward can be detected, and the smoke detection data with the same high value is also included in the calculation. The power sensor 22 is electrically connected to the electrical equipment in the shell 1.

[0037] The present application embodiment discloses a detection method for an intelligent electric energy meter box. Figure 4 , the detection method of the intelligent electric energy meter box includes the following steps: S1. Obtain power detection data, time data, power detection data packet voltage detection data, and current detection data; S11, determining voltage trend data through voltage detection data and time data; S12, determining current trend data through current detection data and time data; S13. Determine a short circuit signal, leakage signal or overload signal through voltage trend data and current trend data, and output it.

[0038] In detail: If the voltage detection data is 220V in the first second and 150V in the second second, the voltage trend data is (150-220) / (2-1)=-70V / s; if the current detection data is 10A in the first second, 15A in the second second and 8A in the third second, the current trend data is 5A / s first and then -7A / s, which is a fluctuating state; if the voltage trend data shows that the voltage is decreasing and the current trend data shows that the current is fluctuating, it is leakage and a leakage signal is output; if the voltage decreases and the current increases, it is overload; if the current increases sharply and the voltage decreases, it is a short circuit.

[0039] Reference Figure 5 , further comprising the following steps: S2, obtaining humidity detection data; S21, determining a leakage signal through voltage trend data, current trend data, a preset leakage reduction threshold, and a preset leakage fluctuation threshold; S22, determining a cutoff signal through the leakage signal, humidity detection data, and a preset dryness threshold value and outputting the signal; S23, determining and outputting a full-off signal through the leakage signal, humidity detection data, and a preset humidity threshold.

[0040] In detail: when the voltage trend data is less than the leakage reduction threshold, it means that the voltage suddenly drops, and the speed of the drop meets the situation when leakage occurs. When the current trend data is within the range of the leakage fluctuation threshold, it means that the amplitude and frequency of the current fluctuation also meet the situation when leakage occurs. When both are met at the same time, it means that leakage occurs at this time, so a leakage signal is output to the user to remind the user of leakage; if the humidity detection data at this time is within the range of the dryness threshold, it means that the air in the shell 1 is dry, even if leakage occurs, the impact range is small, so a disconnection signal is output to disconnect only the line where leakage occurs; if the humidity detection data at this time is within the range of the humidity threshold, it means that the air in the shell 1 is humid and there is a lot of water vapor. If leakage occurs at this time, the impact range may be relatively large to generate an arc, and if there is water accumulation, the leakage current may even pass through the water and directly hit other wires, so a full disconnection signal is output to disconnect all lines.

[0041] Reference Figure 6 , further comprising the following steps: S3, obtaining smoke detection data; S31, determining smoke change speed data through smoke detection data and time data; S32, determining humidity smoke data through humidity detection data and a preset smoke threshold; S33, determining actual smoke generation speed data through smoke change speed data and humidity smoke data; S34, determining the line table fault type signal through the humidity detection data, the leakage signal, the actual smoke generation speed data, and the preset smoke speed threshold, and outputting it.

[0042] In detail: if the smoke detection data is 100 in the first second and 120 in the second second, the smoke change rate data is 20 per second, that is, it becomes thicker at a rate of 20 units; the smoke threshold is the effect of humidity on smoke. For example, if the humidity is 100, then the smoke caused by humidity may be 10. For example, 10 units of liquid water will cause 1 unit of gaseous moisture to exist in the air in the shell 1 due to volatilization or other reasons; if the smoke threshold is 0.1, the humidity smoke data is humidity detection data * 0.1, and then the humidity smoke data is removed from the smoke detection data, and then combined with the smoke change rate data, the actual smoke generation rate data excluding humidity interference can be obtained; then by comparing with the smoke The speed threshold is compared, and the smoke speed threshold is set to 10. If the actual smoke generation speed is 1, and the leakage signal indicates that leakage occurs, but no smoke is generated, it means that leakage may occur inside the equipment such as the electric energy meter, and the smoke needs a period of time to dissipate to the internal space of the shell 1. If the humidity detection data shows that the humidity is high or even water accumulation exists, if the actual smoke generation speed is 20, it means that smoke is generated immediately and quickly. At this time, the insulation layer of the outer layer of the wire may be damaged, leakage, and due to the low resistance of the water mist, an arc is generated, causing the accumulated water to evaporate quickly, and the immediately generated smoke immediately enters the internal space of the shell 1, then it is judged that the wire is damaged, and the damage to the wire or the damage to the electrical equipment is the wire table fault type signal, which is output to the user.

[0043] Reference Figure 7 , further comprising the following steps: S4, determining leakage degree data through humidity detection data, actual smoke generation speed data, and a preset leakage degree threshold; S41, determining surrounding impact data through leakage degree data, humidity detection data, and a preset arc impact threshold; S42. Determine and output a protection shutdown signal based on surrounding impact data and a preset conductor device distribution threshold.

[0044] In detail: if leakage generates an arc, the higher the humidity, the more smoke will be generated under the influence of the arc. Therefore, the humidity detection data and the leakage degree threshold are used to infer the additional smoke generated by the leakage arc under the current humidity. Then, combined with the actual smoke generation speed data, the speed of smoke generated on the wire or the electrical equipment itself is obtained by eliminating humidity interference. The degree of leakage can be judged by the speed of smoke generation. For example, the higher the degree of damage to the insulation of the wire, the larger the area of ​​direct contact between the copper wire and the internal space of the shell 1, and the more smoke is generated. This is the leakage degree data. The directly exposed area, under the humidity air represented by the current humidity detection data, that is, the greater the humidity, The larger the exposed area, the longer the arc generated and the larger the impact range. This is the peripheral impact data calculated by the arc impact threshold, and the conductor equipment distribution threshold is pre-entered by the user. The conductor equipment distribution threshold is the distance between each conductor and electrical equipment in the shell 1. For example, if conductor No. 1 is leaking, the peripheral impact data indicates that the impact range of the arc is 1 distance unit. If conductor No. 2 is 1 distance unit away from conductor No. 1, the electric energy meter No. 3 is 1 distance unit away from conductor No. 1, and the electric energy meter No. 4 is 2 distance units away from conductor No. 1, then the protection shutdown signal is to disconnect the line where conductor No. 2 and electric energy meter No. 3 are located, while the line where conductor No. 4 is located is normally connected, which is more precise control.

[0045] Reference Figure 8 , further comprising the following steps: S5. Determine and record the conductor equipment damage data based on the surrounding impact data, conductor equipment distribution threshold, and preset impact degree threshold; S51, determining a warning signal through the wire equipment damage data and outputting it; S52, determining a damage signal through damage data of multiple conductor devices and a preset damage threshold and outputting the damage signal.

[0046] In detail: If the surrounding influence data is 1, and the influence degree threshold is 0.1, the electrical equipment or wires within the 1.1 distance unit will also record the wire equipment damage data, and the recorded wire equipment damage data is (1.1-1)*0.1=0.01, which is the distance outside the surrounding influence data multiplied by the influence degree threshold. This indicates the degree of interference damage. For example, although the arc is not in direct contact, there are still many influencing factors such as ions around the arc. If too much accumulates, it will cause damage. The damage threshold indicates the amount of accumulation. Suppose the damage threshold is 0.5. Only 0.01 is recorded this time. If the accumulated wire equipment damage data reaches 0.5, a damage signal is output to the user, indicating that when the user comes for maintenance this time, not only the damaged wire or electrical equipment must be repaired, but also the wire or electrical equipment that may be damaged must be repaired and replaced.

[0047] The present application embodiment discloses a computer-readable storage medium. Figure 1 The computer-readable storage medium stores a computer program that can be loaded and executed by a processor to implement a detection method for a smart electric energy meter box.

[0048] Computer-readable storage media include, for example, various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0049] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent electric energy metering box, characterized in that: The invention comprises a shell (1), wherein the shell (1) is used for installing an electric device therein, a trough (11) is provided on a side wall of the shell (1), a heat dissipation hole (12) is provided through the bottom wall of the trough (11), a rain cover (13) is also provided on the bottom wall of the trough (11), the rain cover (13) extends downward from the upper inner wall of the heat dissipation hole (12) to cover the opening surface of the heat dissipation hole (12), a lower opening (14) is formed between the rain cover (13) and the bottom wall of the trough (11), the lower opening (14) is located below the heat dissipation hole (12), and the lower opening (14) is connected to the heat dissipation hole (12), and the rain cover (13) is located in the trough (11) as a whole.

2. The intelligent electric energy meter box according to claim 1, characterized in that: The housing (1) is provided with a humidity sensor (2) for detecting and obtaining humidity detection data, a smoke sensor (21) for detecting and obtaining smoke detection data, an electric energy sensor (22) for detecting and obtaining electric energy detection data, and a data processing module (23) for performing data processing. The humidity sensor (2) is arranged at the lower end of the housing (1), the smoke sensor (21) is arranged at the upper end of the housing (1) and at the edge of the heat dissipation hole (12), the electric energy sensor (22) is electrically connected to the electrical equipment in the housing (1), and the data processing module (23) receives the humidity detection data, the smoke detection data, and the electric energy detection data, performs data calculation, and obtains a signal to output to a user.

3. A method for detecting an intelligent electric energy meter box, using the intelligent electric energy meter box according to claim 2, characterized in that: include: Acquire the electric energy detection data, acquire time data, voltage detection data and current detection data of the electric energy detection data packet; Determine voltage trend data through the voltage detection data and the time data; Determine current trend data through the current detection data and the time data; A short circuit signal, a leakage signal or an overload signal is determined by the voltage trend data and the current trend data, and outputted.

4. The detection method of a smart electric energy meter box according to claim 3 is characterized in that: Determining the leakage signal by using the voltage trend data and the current trend data includes: Acquiring the humidity detection data; Determine a leakage signal through the voltage trend data, the current trend data, a preset leakage reduction threshold, and a preset leakage fluctuation threshold; Determine a cutoff signal through the leakage signal, the humidity detection data, and a preset dryness threshold value and output it; A full-off signal is determined and outputted according to the leakage signal, the humidity detection data, and a preset humidity threshold.

5. The detection method of a smart electric energy meter box according to claim 4 is characterized in that: include: Acquiring the smoke detection data; Determine smoke change speed data through the smoke detection data and the time data; Determine humidity smoke data through the humidity detection data and a preset smoke threshold; Determine actual smoke generation speed data through the smoke change speed data and the humidity smoke data; The line table fault type signal is determined and outputted through the humidity detection data, the leakage signal, the actual smoke generation speed data, and a preset smoke speed threshold.

6. The detection method of a smart electric energy meter box according to claim 5, characterized in that: include: Determining leakage degree data through the humidity detection data, the actual smoke generation speed data, and a preset leakage degree threshold; Determine the surrounding impact data through the leakage degree data, the humidity detection data, and a preset arc impact threshold; A protection shutdown signal is determined and outputted based on the surrounding influence data and a preset conductor device distribution threshold.

7. The detection method of a smart electric energy meter box according to claim 6, characterized in that: include: Determine and record the conductor equipment damage data by using the surrounding impact data, the conductor equipment distribution threshold, and the preset impact degree threshold; Determine and output a warning signal based on the wire equipment damage data; A damage signal is determined and outputted based on a plurality of the conductor device damage data and a preset damage threshold.

8. A computer-readable storage medium, characterized in that: The computer program is stored which can be loaded by a processor and executes the detection method of the smart electric energy meter box according to any one of claims 3 to 7.

Images