CN211785999U - A battery monitoring and statistics system based on the Internet of Things - Google Patents

Abstract

The utility model provides a battery monitoring and statistics system based on the Internet of Things, which belongs to the technical field of battery life management. It solves the problems of difficulty in battery monitoring and inaccurate statistics of battery usage experimental data. The utility model comprises a server end and a monitored end communicated with the server end; a data acquisition module reads a voltage value of a battery and a time point corresponding to the voltage value to form a detection data signal; a data transmission module receives the detection data signal; Receive the detection data signal; the data temporary storage module receives and stores the detection data signal for reading; the data calculation module reads the detection data signal and calculates the detection data signal; the storage comparison module stores the comparison data, receives the calculated data signal and Compare with the comparative data to judge whether there is a fault and make statistics; the display module displays statistical data or fault report signals. The utility model has the advantages of simple monitoring and accurate statistics.

Description

A battery monitoring and statistics system based on the Internet of Things

technical field

The utility model belongs to the technical field of battery life management, and relates to a battery monitoring and statistics system, in particular to a battery monitoring and statistics system based on the Internet of Things.

Background technique

A battery is a device that converts chemical energy into electrical energy. Using the battery as an energy source can obtain stable voltage, stable current, long-term stable power supply, less limited by the external environment, low-power design, convenient maintenance, stable and reliable performance, and is widely used in all aspects of modern social life. During the normal operation of the product, the battery usage data needs to be counted. Different battery power consumption models will affect the real service life, and will often be distorted through various accelerated tests. Therefore, the most real data comes from the field data. However, the workload of this kind of data statistics is very huge. Although there are also statistical systems for batteries in the prior art, the statistical methods are incomplete and the number of statistics is limited. In addition, the battery may fail during the use of the battery, and the existing statistical system cannot eliminate the failure data, and the statistical results are inaccurate.

Utility model content

The purpose of the present invention is to provide a complete and accurate battery monitoring and statistics system based on the Internet of Things, aiming at the above problems existing in the prior art.

The purpose of the utility model can be achieved through the following technical solutions: a battery monitoring and statistics system based on the Internet of Things, which is characterized in that it includes a server end and a monitored end that is communicatively connected to the server end;

The monitored end includes a battery, a data acquisition module, and a data transmission module;

The server side includes a data receiving module, a data temporary storage module, a data calculation module, a storage comparison module, a statistics module, a fault reporting module, and a display module;

The data acquisition module is used for reading the voltage value of the battery and the time point corresponding to the voltage value, forming a detection data signal and sending the detection data signal to the data sending module;

The data sending module is used for receiving the detection data signal and forwarding it to the data receiving module;

The data receiving module is used for receiving the detection data signal and forwarding it to the data temporary storage module;

The data temporary storage module is used to receive and store the detection data signal for reading;

The data calculation module is used to read the detection data signal, calculate the detection data signal, and send the calculated data signal to the storage comparison module;

The storage comparison module is used to store the comparison data, and the storage comparison module is used to receive the calculated data signal and compare it with the comparison data to judge whether the battery at the monitored end is faulty. If the battery is judged to be normal, the The statistical module reads the detection data signal, performs statistics and generates statistical data, and if the battery is judged to be faulty, the fault reporting module generates a fault reporting signal;

The display module is used for displaying statistical data or fault reporting signals.

Working principle: After the battery is installed, the data acquisition module at the monitored end reads the battery's initial voltage value and the time point corresponding to the initial voltage value, and reads the battery's termination voltage value and the time point corresponding to the termination voltage value to form a detection data signal. And send it to the data transmission module, the data transmission module receives the detection data signal and forwards it to the data reception module on the server side, the data reception module receives the detection data signal and forwards it to the data temporary storage module, at this time, the data calculation module on the server side reads the data temporary storage The detection data signal in the module is calculated, and the calculated data signal is sent to the storage comparison module. The storage comparison module compares the detection data signal with the comparison data, and then judges whether the battery is normal or faulty. If the battery is judged to be normal, then Instruct the statistics module to read the detection data signal from the data temporary storage module, and the statistics module will perform statistics on the detection data to form statistical data; if it is judged that the battery is in a fault state, the fault reporting module will generate a fault reporting signal, and finally the display module will receive the statistical data or report it. signal and display. The utility model can perform a wide range of battery data statistics, is convenient and efficient, and greatly reduces the low cost of obtaining battery experimental data and reduces the experimental labor cost. It can also monitor the use status of a certain type of battery-equipped equipment in a large range, and report the fault when a fault is detected, which is convenient for the staff to maintain the equipment in time and saves the cost of detection.

In the above-mentioned battery monitoring and statistics system based on the Internet of Things, the initial voltage value of the battery read by the data acquisition module is set as V ₁ , the reading time point of recording V ₁ is set as T ₁ , and the termination voltage of the battery is read. The value is V ₂ , and the reading time point of recording V ₂ is set to T ₂ , and the data calculation module is used to calculate the slope of the battery discharge curve and set it as K, and the slope K of the battery discharge curve is calculated by the following formula: K=(V ₁ -V ₂ )/(T ₂ -T ₁ ).

In the above-mentioned battery monitoring and statistics system based on the Internet of Things, the storage comparison module is _preset with a slope K of the battery discharge curve, and the K is a _preset range of the slope of the battery discharge curve,

- When K is within the K _pre- range, the battery is judged to be normal,

- When K exceeds the K _pre- range, the battery is judged to be faulty.

In the above-mentioned battery monitoring and statistics system based on the Internet of Things, the data acquisition module is further connected with a threshold value judgment module, and the threshold value judgment module is used to set the minimum working voltage V _threshold of the monitored terminal, and the V ₂ = V _threshold .

In the above-mentioned battery monitoring and statistics system based on the Internet of Things, the statistics module is further connected with a data elimination module, and the data elimination module is provided with a voltage value V, where V is a preset _initial voltage range of _the battery, When the V ₁ exceeds _{the initial} range of V, the set of detection data is eliminated.

In the above-mentioned battery monitoring and statistics system based on the Internet of Things, the monitored terminal contains address information, and the data sending module is also used to send the address information of the monitored battery to the data receiving module, and the data receiving module forwards the address information. To the data temporary storage module, the data temporary storage module receives and stores the address information for reading. When the battery is judged to be faulty, the display module reads the address information and displays it.

In the above-mentioned battery monitoring and statistics system based on the Internet of Things, the battery specifically refers to an alkaline battery or/and a carbon battery used in a meter.

In the above-mentioned battery monitoring and statistics system based on the Internet of Things, the K _pre- includes K _alkali and K _carbon , the K _alkali is the slope range of the discharge curve of the alkaline battery, and the K _carbon is the discharge of the carbon battery The slope range of the curve, the statistical module includes a basic statistical module and a carbon statistical module,

- The alkaline statistics module is used for statistics of alkaline batteries, when K is in the range of K _alkali , the alkaline statistics module reads the detection data signal and counts,

- The carbonity statistics module is used to count carbon batteries, when K is in the K _carbon range, the carbonity statistics module reads the detection data signal and makes statistics.

Compared with the prior art, the utility model has the following advantages:

1. The present utility model can be aimed at the monitored terminals with a huge base, and each monitored terminal sends the most real usage data to the server side for statistics on the server side, which eliminates the occurrence of data distortion.

2. The utility model can detect whether the gas meter at the monitored end is faulty, and when the gas meter is faulty, it can locate the faulty gas meter, and delete this group of data, which is convenient for maintenance personnel to repair the faulty gas meter in time, and improves the statistics. accuracy.

3. The utility model can automatically identify the types of batteries used by the monitored end for different types of batteries, and perform statistics by classification, so that the statistics are more accurate and have a wide range of applications.

4. The utility model can also eliminate abnormal data caused by the failure of the initial voltage of the battery itself, which further reduces the error of the statistical results.

Description of drawings

FIG. 1 is a schematic diagram of the system principle of the present invention.

In the figure, 1, the server side; 2, the monitored side; 3, the battery; 4, the data acquisition module; 5, the data transmission module; 6, the data reception module; 7, the data temporary storage module; 8, the data calculation module; 9 10. Alkaline statistics module; 11. Carbon statistics module; 12. Fault reporting module; 13. Display module; 14. Statistics module; 15. Data elimination module; 16. Threshold determination module.

Detailed ways

The following are specific embodiments of the present utility model combined with the accompanying drawings to further describe the technical solutions of the present utility model, but the present utility model is not limited to these embodiments.

As shown in Figure 1, the battery monitoring and statistics system based on the Internet of Things includes a server terminal 1 and a plurality of monitored terminals 2 connected to the server terminal 1. The monitored terminals 2 include a battery 3, a data acquisition module 4, and a data transmission module. 5. The server side 1 includes a data receiving module 6, a data temporary storage module 7, a data calculation module 8, a storage comparison module 9, a statistics module 14, a fault reporting module 12, and a display module 13; the data acquisition module 4 is used to read the battery 3 Specifically, the initial voltage value of the battery 3 read by the data acquisition module 4 is set as V ₁ , the reading time point of recording V ₁ is set as T ₁ , and the termination of reading the battery 3 is set as V 1 . The voltage value is V ₂ , and the reading time point of recording V ₂ is set to T ₂ , thereby forming a detection data signal and sending the detection data signal to the data transmission module 5 , and the data transmission module 5 receives the detection data signal and forwards it to the data receiving module Module 6: The data receiving module 6 receives the detection data signal and forwards it to the data temporary storage module 7. After the detection data signal is stored in the data temporary storage module 7, it can be read by other modules. The data calculation module 8 calculates the slope K of the battery discharge curve after reading the detection data signal from the data temporary storage module 7, and the slope K of the battery discharge curve is calculated by the following formula: K=(V ₁ -V ₂ )/(T ₂ - T ₁ ), thereby obtaining the calculated data signal and forwarding it to the storage comparison module 9 . The storage comparison module 9 is _preset with a slope K of the battery discharge curve, where K is a _preset range of the slope of the battery discharge curve. The storage comparison module 9 receives the calculated data signal and compares the comparison data K in _advance . When K is within the K _pre- range, after the battery 3 is judged to be normal, the statistics module 14 is instructed to read the detection data signal, perform statistics and generate statistical data. , when K exceeds the K _pre- range, the battery 3 determines that it is faulty and instructs the fault reporting module 12 to generate a fault reporting signal, and the statistical data or fault reporting signal generated thereafter is displayed in the display module 13 .

To be more specific, the data acquisition module 4 is connected with a threshold value determination module 16, and the threshold value determination module 16 is used to set the minimum operating voltage V _threshold of the monitored terminal 2, V ₂ =V _threshold . Different devices require the minimum working voltage, so the monitored terminal 2 must adjust the termination voltage according to the device, and then calculate the slope K of the discharge curve of the battery 3 under the use of the device for judgment. The present invention is provided with a threshold value determination module 16, through which the system can adjust the minimum working voltage V _threshold of the monitored terminal 2, adjust the detected minimum working voltage V ₂ =V _threshold , and the data acquisition module 4 reads the time point T at this time ₂ is actually the time point corresponding to the V _threshold , that is, the time point corresponding to the detection and adjustment of the minimum operating voltage V _threshold , and the data calculation module 8 reads the detection data signal from the data temporary storage module 7 and calculates the slope of the battery discharge curve. It is the slope of the battery discharge curve in the corresponding time period from the initial voltage to the minimum operating voltage V _threshold .

In further detail, the statistics module 14 is also connected with a data elimination module 15. The data elimination module 15 is provided with a voltage value V, when V is the _initial voltage range preset by _the battery ₃ , and when V exceeds the range of V _, it is eliminated. The set of detection data. In actual use, not all the batteries used are fully charged batteries, and the battery usage time obtained by monitoring a battery that is not fully charged is shorter than that of a normal battery, which will affect the experimental data. In addition, the slope of the battery discharge curve calculated from the initial voltage to the minimum operating voltage calculated by the battery in the non-fully charged state has little reference significance in the research and development process. It is necessary to exclude this part of the data to ensure the validity of the experimental data statistics. .

In further detail, the monitored terminal 2 contains address information, and the data sending module 5 is also used to send the address information of the monitored battery 3 to the data receiving module 6, and the data receiving module 6 forwards the address information to the data temporary storage module 7, and the data is temporarily stored. The module 7 receives and stores the address information for reading. When the battery 3 is judged to be faulty, the display module 13 reads the address information and displays it. The information of the monitored terminal 2 contains the unique address information, and the information sent by the data sending module 5 to the server terminal 1 contains the address information. When the monitored terminal 2 is judged to be faulty, the display module 13 of the server terminal 1 displays the monitored terminal in time. The address information of terminal 2 is convenient for the staff to go to the designated address for maintenance and repair in time.

In further detail, the battery 3 refers specifically to alkaline batteries or/and carbon batteries used in measuring instruments.

In further detail, K _pre- includes K _alkali and K _carbon , K _alkali is the slope range of the discharge curve of the alkaline battery, K _carbon is the slope range of the discharge curve of the carbon battery, and the statistics module 14 includes the alkali statistics module 10 and carbon statistics. Module 11, the alkaline statistics module 10 is used to count the alkaline batteries. When K is in the K- _alkali range, the alkaline statistics module 10 reads the detection data signals and counts them. The carbon statistics module 11 is used to count the carbon batteries. When K is in the K _carbon range, the carbonity statistics module 11 reads the detection data signal and makes statistics. In the monitored terminal 2 for daily use, the dry batteries used mainly include alkaline batteries and carbon batteries. To this end, special statistics are made on the use information of alkaline batteries and carbon batteries to facilitate the management and use of later experiments.

In the utility model, firstly, it is detected whether the slope of the battery discharge curve is within the normal range, and then it can be determined whether the gas meter that provides the set of data is faulty. The slope of the battery discharge curve determines the type of battery, and can classify the data of different types of batteries. Then, by detecting the initial voltage of the battery, the abnormal data with too low initial voltage is eliminated. After multiple eliminations, only the normal data is left. Statistics The module records the service life of each normally used battery and makes statistics.

Application example: The statistical monitoring of this system is applied to gas meter batteries in the Internet of Things. Gas meter batteries in this field usually use alkaline batteries and carbon batteries. The factory initial voltage value of gas meter batteries is generally 6.5V, and the minimum working voltage is 6.5V. is 5V, the system compares the slope of the discharge curve from the initial voltage to the minimum working voltage with the slope of the preset discharge curve to determine whether the battery is faulty and perform classification statistics. The existing preset discharge curve slope is: the battery discharge slope of the alkaline gas meter battery from the initial voltage to 5V is 0.08, the battery discharge slope of the carbon gas meter battery from the initial voltage to 5V is 0.2, when the monitored terminal 2 When the discharge slope of the battery is other larger values, it can be judged that there is a fault. Specifically: after the battery 3 is installed, the data acquisition module 4 reads the initial voltage value of the gas meter battery 3 as V ₁ , and the recording time point is T ₁ . When the battery 3 is discharged to the minimum working voltage of 5V, the recording time point is T ₂ , so as to form a detection data signal and send the detection data signal to the data transmission module 5, the data transmission module 5 receives the detection data signal and forwards it to the data reception module 6, and the data reception module 6 receives the detection data signal and forwards it to the data temporary storage module 7. After the detection data signal is stored in the data temporary storage module 7, it can be read by other modules. The data calculation module 8 calculates the slope K of the battery discharge curve after reading the detection data signal from the data temporary storage module 7, and the slope K of the battery discharge curve is calculated as K=(V ₁ -5)/(T ₂ -T ₁ ), Thereby, the calculated data signal is obtained and forwarded to the storage comparison module 9. The storage comparison module 9 is preset with the slopes of the battery discharge curve K _alkali =0.08, K _carbon =0.2, and the storage comparison module 9 is based on the slope K value and preset. The comparison results of the comparison data are counted or reported as failures. Before the statistics, the detection data signals stored in the data temporary storage module 7 are selectively eliminated useless data. The data elimination module 15 is provided with a voltage value V _initial , when V _initial The initial voltage range preset for the battery ₃ , when V1 exceeds the _initial range of V, the set of detection data is rejected. The specific judgment of the storage comparison module 9 is: when the K value is equal to K _alkali or K _carbon , the battery 3 is judged to be normal, and the storage comparison module 9 instructs the statistics module 14 to read the detection data signal in the data temporary storage module 7. When the value is equal to K _alkali , the detection data signal enters the alkali statistics module 10 for statistics of detection data signals, and when the K value is equal to K _carbon , the detection data signal enters the carbonity statistics module 11 for statistics of detection data signals; when the K value is not equal to K _alkali or When it is K _carbon , it means that the battery of the gas meter leaks out in a short time, and there is a fault in the battery 3 to generate a fault signal. In addition, when the monitored terminal 2 uses other types of gas meters, and its minimum working voltage is not 5V, the _threshold determination module 16 is used to adjust the minimum working voltage to Vthreshold, and the data acquisition module 4 reads the battery 3 voltage as the _minimum working voltage Vthreshold , the recording time point is T ₂ , the data acquisition module 4 sends the detected data signal to the data receiving module 6 and repeats the above steps for judgment and statistics.

The specific embodiments described herein are merely illustrative of the spirit of the present invention. Those skilled in the art of the present invention can make various modifications or supplements to the described specific embodiments or replace them in similar ways, but will not deviate from the spirit of the present invention or go beyond the appended claims the defined range.

Although this article mostly uses the server side 1, the monitored side 2, the battery 3, the data acquisition module 4, the data transmission module 5, the data receiving module 6, the data temporary storage module 7, the data calculation module 8, the storage comparison module 9, Alkaline statistics module 10, carbon statistics module 11, fault reporting module 12, display module 13, statistics module 14, data elimination module 15, threshold determination module 16 and other terms, but do not exclude the possibility of using other terms. These terms are used only to more conveniently describe and explain the essence of the present invention; it is contrary to the spirit of the present invention to interpret them as any kind of additional limitations.

Claims (2)

1. A battery monitoring and counting system based on the Internet of things is characterized by comprising a server end (1) and a plurality of monitored ends (2) which are in communication connection with the server end (1);

the monitored end (2) comprises a battery (3), a data acquisition module (4) and a data transmission module (5);

the server side (1) comprises a data receiving module (6), a data temporary storage module (7), a data calculating module (8), a storage comparison module (9), a counting module (14), an obstacle reporting module (12) and a display module (13);

the data acquisition module (4) is used for reading the voltage value of the battery (3) and the time point corresponding to the voltage value, forming a detection data signal and sending the detection data signal to the data sending module (5);

the data sending module (5) is used for receiving the detection data signal and forwarding the detection data signal to the data receiving module (6);

the data receiving module (6) is used for receiving the detection data signal and forwarding the detection data signal to the data temporary storage module (7);

the data temporary storage module (7) is used for receiving, storing and reading detection data signals;

the data calculation module (8) is used for reading the detection data signals, calculating the detection data signals and sending the calculated data signals to the storage comparison module (9);

the storage comparison module (9) is used for storing comparison data, the storage comparison module (9) is used for receiving the calculated data signals and comparing the data signals with the comparison data, judging whether the battery (3) of the monitored end (2) is in fault or not, if the battery (3) is judged to be normal, the statistic module (14) reads the detection data signals, carries out statistics and generates statistic data, and if the battery (3) is judged to be in fault, the fault reporting module (12) generates fault reporting signals;

the display module (13) is used for displaying statistical data or fault reporting signals.

2. The battery monitoring and counting system based on the internet of things as claimed in claim 1, wherein the monitored terminal (2) contains address information, the data sending module (5) is further used for sending the address information of the monitored battery (3) to the data receiving module (6), the data receiving module (6) forwards the address information to the data temporary storage module (7), the data temporary storage module (7) receives, stores and reads the address information, and when the battery (3) is judged to be faulty, the display module (13) reads and displays the address information.

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