A power supply method and monitoring device for blasting vibration automatic monitoring device

Abstract

The present invention provides a power supply method and a monitoring device for an automatic monitoring device for blasting vibration, which belongs to the technical field of power supply, and specifically comprises: when using power generation data to determine that there is an abnormality in the power quality of a photovoltaic device, using historical power generation data of the photovoltaic device on an upcoming date to determine the predicted power generation of the photovoltaic device in the remaining period of the current date; when the predicted power generation of the photovoltaic device in the remaining period of the current date meets the requirements, based on the historical power generation data of the photovoltaic device on an upcoming date, determining the power quality of the photovoltaic device in the remaining period of the upcoming date, and determining whether charging control is required in the current period in combination with the power quality of the photovoltaic device, thereby avoiding the influence of frequent charging and discharging on the service life of the battery.

Description

Technical Field

[0001] The invention belongs to the technical field of power supply, and in particular relates to a power supply method and a monitoring device for an automatic blasting vibration monitoring device. Background Art

[0002] The existing blasting vibration monitoring equipment adopts the traditional single-machine single-point multiple installation mode. The main work is to disassemble and install the monitoring equipment, carry the equipment for charging and replacement, etc., which consumes a lot of labor, and the repeated disassembly and assembly can easily cause damage to the equipment.

[0003] Therefore, in order to solve the above technical problems, in the invention patent application CN202210335913.3 "Remote intelligent monitoring and early warning system and method based on photovoltaic battery power supply", photovoltaic batteries are used to power the remote monitoring device, thereby reducing the frequency of charging and replacement of the monitoring equipment, but there are the following technical problems:

[0004] When powering the monitoring device, the existing technical solutions ignore the adjustment of differentiated power supply strategies based on the analysis results of the power generation data of the photovoltaic power generation device. Frequent charging and discharging will not only cause a certain degree of impact on the service life of the battery due to excessive charge and discharge times of the battery, but also if the photovoltaic power generation device is controlled not to charge the battery, the power supply reliability of the monitoring device may also be affected due to the low capacity of the battery.

[0005] In view of the above technical problems, the present invention provides a power supply method and a monitoring device for an automatic blasting vibration monitoring device. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] In order to solve the above technical problems, the present invention provides a power supply method for a blasting vibration automatic monitoring device, which specifically includes:

[0008] S1 obtains the remaining capacity of the battery of the monitoring device and the power consumption of the monitoring device in real time, and determines the power supply reliability of the monitoring device within a preset time period in the future in combination with the historical power generation data of the photovoltaic device on the upcoming date. When the power supply reliability does not meet the requirements, proceed to the next step;

[0009] S2: obtaining power generation data of the photovoltaic device in the most recent preset period, and using the power generation data to determine that the power quality of the photovoltaic device is abnormal, then proceeding to the next step;

[0010] S3 uses the historical power generation data of the photovoltaic device on the upcoming date to determine the predicted power generation of the photovoltaic device in the remaining period of the current date, and when the predicted power generation of the photovoltaic device in the remaining period of the current date meets the requirements, proceed to the next step;

[0011] S4 determines the power quality of the photovoltaic device in the remaining period of the upcoming date based on the historical power generation data of the photovoltaic device on the upcoming date, and determines whether charging control is required in the current period in combination with the power quality of the photovoltaic device.

[0012] The beneficial effects of the present invention are:

[0013] 1. In the present application, the remaining capacity of the battery, the power consumption of the monitoring device, and the historical power generation data of the photovoltaic device on the upcoming date are used to determine whether the power supply reliability of the monitoring device within a preset period of time in the future meets the requirements, thereby achieving an accurate assessment of the power supply reliability from the perspective of whether the remaining capacity of the battery meets the power consumption requirements of the monitoring device. This not only ensures the power consumption reliability of the monitoring device, but also avoids the impact of frequent charging and discharging on the battery life when the remaining capacity of the battery meets the requirements.

[0014] 2. In the present application, whether charging control is needed in the current period is determined based on the power quality of the photovoltaic device in the remaining period of the current date and the power quality of the photovoltaic device. This not only avoids the impact of the poor power quality of the photovoltaic device in the current period on the life of the battery, but also ensures the power quality of the battery charging and improves the service life of the battery by comparing the power quality of the remaining period of the current date with the power quality of the current period.

[0015] A further technical solution is that the remaining capacity of the battery is determined based on a human monitoring result of the output power of the battery.

[0016] A further technical solution is that the preset duration is determined based on the average daily power consumption of the monitoring device, wherein the greater the average daily power consumption of the monitoring device, the longer the preset duration is, and the starting point of the preset duration is zero o'clock on the next date of the current date.

[0017] A further technical solution is that when the sum of the predicted power generation of the photovoltaic device in the remaining period of the current date and the remaining capacity of the battery can meet a power demand that is greater than the power consumption of the photovoltaic device within a preset period of time in the future, it is determined that the predicted power generation of the photovoltaic device in the remaining period of the current date meets the requirements.

[0018] A further technical solution is that, when the predicted power generation of the photovoltaic device in the remaining period of the current date does not meet the requirements, the photovoltaic device is controlled to charge the battery until the rated capacity is reached.

[0019] A further technical solution is to determine whether charging control is required in the current period, specifically including:

[0020] Based on the historical power generation data of the photovoltaic device on the near date, determine the power quality of different remaining time periods on different near dates, and determine the power quality of different remaining time periods based on the average value of the power quality on different near dates;

[0021] Determine the remaining time period in which the power quality is lower than the power quality of the current time period based on the power quality of different remaining time periods, and use it as the power quality deviation time period;

[0022] Whether charging control is required in the current period is determined according to the number of power quality deviation periods.

[0023] A further technical solution is that, when the number of the power quality deviation time periods is greater than the number of preset deviation time periods, it is determined that charging control is not required in the current time period.

[0024] On the other hand, the present application provides a monitoring device, which adopts the above-mentioned power supply method for the automatic monitoring device of blasting vibration, and specifically includes:

[0025] Monitoring module, battery module, photovoltaic device, power supply module;

[0026] The monitoring module is responsible for acquiring monitoring data, the battery module is responsible for using the power supply module to power the monitoring module, and the photovoltaic device uses the power supply module to power the battery module.

[0027] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0030] Figure 1It is a flow chart of a power supply method for a blasting vibration automation monitoring device;

[0031] Figure 2 is a flow chart of a method for determining the reliability of power supply of a monitoring device within a preset time period in the future;

[0032] Figure 3 is a flow chart of a method for determining a predicted amount of power generation of a photovoltaic device for a remaining period of a current date;

[0033] Figure 4 A framework diagram of a monitoring device. DETAILED DESCRIPTION

[0034] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0035] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0036] Example 1

[0037] To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a power supply method for a blasting vibration automatic monitoring device is provided, which specifically includes:

[0038] S1 obtains the remaining capacity of the battery of the monitoring device and the power consumption of the monitoring device in real time, and determines the power supply reliability of the monitoring device within a preset time period in the future in combination with the historical power generation data of the photovoltaic device on the upcoming date. When the power supply reliability does not meet the requirements, proceed to the next step;

[0039] Furthermore, the remaining capacity of the battery is determined based on a human monitoring result of the output power of the battery.

[0040] It should be noted that the preset duration is determined based on the average daily power consumption of the monitoring device. The higher the average daily power consumption of the monitoring device, the longer the preset duration. The starting point of the preset duration is zero o'clock on the next date of the current date.

[0041] It is understandable that if Figure 2 As shown, the method for determining the power supply reliability of the monitoring device within a preset time period in the future is:

[0042] Determine the number of approaching dates in different historical power generation intervals based on the historical power generation data of the photovoltaic device on the approaching dates, and determine the predicted power generation range of the photovoltaic device within a preset time period in the future and the probability of occurrence of different predicted power generation ranges in combination with the distance between different approaching dates and the current date;

[0043] The predicted power generation range corresponding to sufficient power is determined through different predicted power generation ranges, the remaining capacity of the battery and the power consumption of the monitoring device, and is used as the sufficient power supply range;

[0044] The power supply reliability of the monitoring device within a preset time period in the future is determined according to the sum of the occurrence probabilities of the sufficient power supply range.

[0045] Furthermore, the power supply reliability has a value range of 0 to 1, wherein when the power supply reliability is less than a preset reliability threshold, it is determined that the power supply reliability does not meet the requirement.

[0046] Specifically, when the power supply reliability of the monitoring device within a preset time period in the future meets the requirements, it is not necessary to use the photovoltaic device to charge the battery.

[0047] In another embodiment, the method for determining the power supply reliability of the monitoring device within a preset time period in the future is:

[0048] S11 obtains the remaining capacity of the battery, and determines whether the remaining capacity of the battery can meet the power consumption of the monitoring device within a preset time period in the future based on the power consumption of the monitoring device. If so, determines that the power supply reliability of the monitoring device within the preset time period in the future meets the requirements. If not, proceeds to the next step;

[0049] S12 takes the deviation between the power consumption and the remaining capacity of the monitoring device within the preset time period in the future as the power consumption deviation, and determines whether the power consumption deviation is within the preset deviation range. If so, proceed to the next step; if not, proceed to step S15;

[0050] S13 determines the daily average minimum power generation under the power consumption deviation based on the power consumption deviation and the preset duration, and determines whether there is an upcoming date with a power generation less than the daily average minimum power generation through the historical power generation data of the photovoltaic device on the upcoming date. If so, proceed to the next step; if not, determine whether the power supply reliability of the monitoring device within the future preset duration meets the requirements;

[0051] S14 takes the nearby date when the power generation is less than the daily average minimum power generation as the power generation deviation date, determines the deviation probability based on the proportion of the power generation deviation date in the nearby date and the deviation between the power generation on different power generation deviation dates and the daily average minimum power generation, and judges whether the deviation probability meets the requirement. If not, proceeds to the next step. If so, determines that the power supply reliability of the monitoring device within a preset time period in the future meets the requirement.

[0052] S15 determines the number of approaching dates in different historical power generation intervals based on the historical power generation data, and determines the predicted power generation range of the photovoltaic device within a preset time period in the future and the probability of occurrence of different predicted power generation ranges in combination with the distance between different approaching dates and the current date;

[0053] S16 determines the corresponding predicted power generation range when the power is sufficient through different predicted power generation ranges, the remaining capacity of the battery and the power consumption of the monitoring device, and uses it as the sufficient power supply range. The power supply reliability of the monitoring device within a preset time period in the future is determined based on the sum of the probability of occurrence of the sufficient power supply range.

[0054] S2: obtaining power generation data of the photovoltaic device in the most recent preset period, and using the power generation data to determine that the power quality of the photovoltaic device is abnormal, then proceeding to the next step;

[0055] Specifically, determining that the power quality of the photovoltaic device is abnormal includes:

[0056] Acquire power generation data of the photovoltaic device within a recent preset period, and determine the power waveform at different times within the recent preset period based on the power generation data;

[0057] Based on the power waveform at different times, the harmonic current amplitude and harmonic content at different times are determined, and based on the harmonic current amplitude and harmonic content at different times, the harmonic abnormal values ​​at different times are determined, and the harmonic abnormal time is determined based on the harmonic abnormal value, and the harmonic abnormal coefficient of the photovoltaic device is determined based on the number ratio of the harmonic abnormal time;

[0058] Based on the power waveform at different moments, the waveform deviation coefficient of the power waveform between different adjacent moments is determined, and the moment of abnormal waveform change is determined according to the waveform deviation coefficient, and the waveform abnormal change coefficient of the photovoltaic device is determined based on the number ratio of the abnormal waveform change moments;

[0059] The power quality of the photovoltaic device is determined by the weighted sum of the waveform abnormal variation coefficient and the harmonic abnormal coefficient, and whether the power quality of the photovoltaic device is abnormal is determined by a preset quality threshold.

[0060] Furthermore, when the power quality of the photovoltaic device is less than a preset quality threshold, it is determined that the power quality of the photovoltaic device is abnormal.

[0061] It should be noted that when there is no abnormality in the power quality of the photovoltaic device, the photovoltaic device is controlled to charge the battery until the rated capacity is reached.

[0062] It is also understandable that determining that the power quality of the photovoltaic device is abnormal specifically includes:

[0063] S21: acquiring power generation data of the photovoltaic device in a recent preset period, and determining the power waveform at different times in the recent preset period based on the power generation data;

[0064] S22 determines the harmonic current amplitude and harmonic content at different times based on the power waveform at different times, and determines the harmonic abnormal values ​​at different times based on the harmonic current amplitude and harmonic content at different times, and determines whether there is a harmonic abnormal moment based on the harmonic abnormal value, if yes, proceeds to step S24, if not, proceeds to the next step;

[0065] S23 determines the waveform deviation coefficient of the power waveform between different adjacent moments based on the power waveform at different moments, and determines whether there is a moment of abnormal waveform change based on the waveform deviation coefficient. If so, proceed to the next step; if not, determine that there is no abnormality in the power quality of the photovoltaic device;

[0066] S24 determines the number of abnormal moments according to the number of the waveform abnormal change moments and the number of the harmonic abnormal moments, and judges whether the number ratio of the abnormal moments is less than the preset number ratio. If so, it is determined that there is no abnormality in the power quality of the photovoltaic device. If not, proceed to the next step.

[0067] S25 determines the harmonic anomaly coefficient of the photovoltaic device based on the proportion of the number of harmonic anomaly moments, determines the waveform anomaly variation coefficient of the photovoltaic device based on the proportion of the number of waveform anomaly variation moments, determines the power quality anomaly coefficient of the photovoltaic device by the weight sum of the waveform anomaly variation coefficient and the harmonic anomaly coefficient, and determines whether there is an abnormality in the power quality of the photovoltaic device by the power quality anomaly coefficient.

[0068] S3 uses the historical power generation data of the photovoltaic device on the upcoming date to determine the predicted power generation of the photovoltaic device in the remaining period of the current date, and when the predicted power generation of the photovoltaic device in the remaining period of the current date meets the requirements, proceed to the next step;

[0069] Specifically, Figure 3As shown, the method for determining the predicted power generation amount of the photovoltaic device in the remaining period of the current date is:

[0070] Determine the historical power generation data of the photovoltaic device at different remaining time periods on the current date based on the historical power generation data of the photovoltaic device at the upcoming date, and determine the average value of the historical power generation at different remaining time periods based on the historical power generation data of the remaining time periods;

[0071] The predicted power generation of the photovoltaic device in the remaining period of the current date is determined by summing up the average values ​​of the historical power generation in different remaining periods.

[0072] Furthermore, when the sum of the predicted power generation of the photovoltaic device in the remaining period of the current date and the remaining capacity of the battery can meet a power demand that is greater than the power consumption of the photovoltaic device within a preset period of time in the future, it is determined that the predicted power generation of the photovoltaic device in the remaining period of the current date meets the requirements.

[0073] It can be understood that when the predicted power generation of the photovoltaic device in the remaining period of the current date does not meet the requirements, the photovoltaic device is controlled to charge the battery until the rated capacity is reached.

[0074] S4 determines the power quality of the photovoltaic device in the remaining period of the upcoming date based on the historical power generation data of the photovoltaic device on the upcoming date, and determines whether charging control is required in the current period in combination with the power quality of the photovoltaic device.

[0075] Further, determining whether charging control is required in the current period includes:

[0076] Based on the historical power generation data of the photovoltaic device on the near date, determine the power quality of different remaining time periods on different near dates, and determine the power quality of different remaining time periods based on the average value of the power quality on different near dates;

[0077] Determine the remaining time period in which the power quality is lower than the power quality of the current time period based on the power quality of different remaining time periods, and use it as the power quality deviation time period;

[0078] Whether charging control is required in the current period is determined according to the number of power quality deviation periods.

[0079] Specifically, when the number of the power quality deviation time periods is greater than the preset number of deviation time periods, it is determined that charging control is not required in the current time period.

[0080] It should also be noted that determining whether charging control is required in the current period specifically includes:

[0081] S41 determines the power quality of different remaining periods on different approaching dates based on the historical power generation data of the photovoltaic device on the approaching date, and determines the power quality of different remaining periods based on the average value of the power quality on different approaching dates;

[0082] S42 determines whether there is a remaining period in which the power quality is lower than the power quality of the current period. If so, proceed to the next step. If not, determine that charging control is required in the current period.

[0083] S43: taking the remaining time periods in which the power quality is lower than the power quality of the current time period as the power quality deviation time period, and judging whether the number of the power quality deviation time periods is greater than the preset number of deviation time periods, if so, determining that charging control is not required in the current time period, if not, proceeding to the next step;

[0084] S44 determines the power quality deviation amount of different power quality deviation periods based on the deviation of the power quality of different power quality deviation periods and the current period, and determines whether there is a power quality deviation period in which the power quality deviation amount is greater than the preset deviation amount. If yes, proceed to the next step; if not, proceed to step S46;

[0085] S45: The power quality deviation period in which the power quality deviation is greater than the preset deviation is regarded as the power quality problem period, and whether the power generation forecast amount in the power quality problem period is within the preset power generation range is determined, if yes, then proceeding to the next step, if no, then determining that charging control is not required in the current period;

[0086] S46 uses the power quality deviation amounts of different power quality deviation periods and the predicted power generation and the number of power quality deviation periods to calculate the power supply reliability coefficient for the remaining periods of the current date, and determines whether charging control is required in the current period based on the power supply reliability period of the remaining period.

[0087] Example 2

[0088] On the other hand, Figure 4 As shown, the present application provides a monitoring device, which adopts the above-mentioned power supply method for the blasting vibration automatic monitoring device, specifically including:

[0089] Monitoring module, battery module, photovoltaic device, power supply module;

[0090] The monitoring module is responsible for acquiring monitoring data, the battery module is responsible for using the power supply module to power the monitoring module, and the photovoltaic device uses the power supply module to power the battery module.

[0091] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0092] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0093] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A power supply method for a blasting vibration automatic monitoring device, characterized in that: Specifically include: The remaining capacity of the storage battery of the monitoring device and the power consumption of the monitoring device are obtained in real time, and the power supply reliability of the monitoring device within a preset time period in the future is determined in combination with the historical power generation data of the photovoltaic device on the upcoming date. When the power supply reliability does not meet the requirements, the next step is entered; Acquire power generation data of the photovoltaic device within a recent preset time period, and when it is determined by using the power generation data that the power quality of the photovoltaic device is abnormal, proceed to the next step; Determine the predicted power generation amount of the photovoltaic device in the remaining period of the current date by using the historical power generation data of the photovoltaic device on the near date, and proceed to the next step when the predicted power generation amount of the photovoltaic device in the remaining period of the current date meets the requirements; Determine the power quality of the photovoltaic device in the remaining period of the upcoming date based on the historical power generation data of the photovoltaic device on the upcoming date, and determine whether charging control is required in the current period in combination with the power quality of the photovoltaic device; The preset duration is determined according to the average daily power consumption of the monitoring device, wherein the more the average daily power consumption of the monitoring device is, the longer the preset duration is, wherein the starting point of the preset duration is zero o'clock on the next date of the current date; The method for determining the power supply reliability of the monitoring device within a preset time period in the future is: S11 obtains the remaining capacity of the battery, and determines whether the remaining capacity of the battery can meet the power consumption of the monitoring device within a preset time period in the future based on the power consumption of the monitoring device. If so, determines that the power supply reliability of the monitoring device within the preset time period in the future meets the requirements. If not, proceeds to the next step; S12 takes the deviation between the power consumption and the remaining capacity of the monitoring device within the preset time period in the future as the power consumption deviation, and determines whether the power consumption deviation is within the preset deviation range. If so, proceed to the next step; if not, proceed to step S15; S13 determines the daily average minimum power generation under the power consumption deviation based on the power consumption deviation and the preset duration, and determines whether there is an upcoming date with a power generation less than the daily average minimum power generation through the historical power generation data of the photovoltaic device on the upcoming date. If so, proceed to the next step; if not, determine whether the power supply reliability of the monitoring device within the future preset duration meets the requirements; S14 takes the nearby date when the power generation is less than the daily average minimum power generation as the power generation deviation date, determines the deviation probability based on the proportion of the power generation deviation date in the nearby date and the deviation between the power generation on different power generation deviation dates and the daily average minimum power generation, and judges whether the deviation probability meets the requirement. If not, proceeds to the next step. If so, determines that the power supply reliability of the monitoring device within a preset time period in the future meets the requirement. S15 determines the number of approaching dates in different historical power generation intervals based on the historical power generation data, and determines the predicted power generation range of the photovoltaic device in the photovoltaic state within a preset time period in the future and the probability of occurrence of different predicted power generation ranges in combination with the distance between different approaching dates and the current date; S16 determines the predicted power generation range corresponding to sufficient power through different predicted power generation ranges, the remaining capacity of the battery, and the power consumption of the monitoring device, and uses it as the sufficient power supply range, and determines the power supply reliability of the monitoring device within a preset time period in the future according to the sum of the probability of occurrence of the sufficient power supply range; Determining that the power quality of the photovoltaic device is abnormal includes: S21: acquiring power generation data of the photovoltaic device in a recent preset period, and determining the power waveform at different times in the recent preset period based on the power generation data; S22 determines the harmonic current amplitude and harmonic content at different times based on the power waveform at different times, and determines the harmonic abnormal values ​​at different times based on the harmonic current amplitude and harmonic content at different times, and determines whether there is a harmonic abnormal moment based on the harmonic abnormal value, if yes, proceeds to step S24, if not, proceeds to the next step; S23 determines the waveform deviation coefficient of the power waveform between different adjacent moments based on the power waveform at different moments, and determines whether there is a moment of abnormal waveform change based on the waveform deviation coefficient. If so, proceed to the next step; if not, determine that there is no abnormality in the power quality of the photovoltaic device; S24 determines the number of abnormal moments according to the number of the waveform abnormal change moments and the number of the harmonic abnormal moments, and judges whether the number ratio of the abnormal moments is less than the preset number ratio. If so, it is determined that there is no abnormality in the power quality of the photovoltaic device. If not, proceed to the next step. S25 determines the harmonic anomaly coefficient of the photovoltaic device based on the proportion of the number of harmonic anomaly moments, determines the waveform anomaly variation coefficient of the photovoltaic device based on the proportion of the number of waveform anomaly variation moments, determines the power quality anomaly coefficient of the photovoltaic device by the weight sum of the waveform anomaly variation coefficient and the harmonic anomaly coefficient, and determines whether there is an abnormality in the power quality of the photovoltaic device by the power quality anomaly coefficient.

2. The power supply method for the blasting vibration automatic monitoring device according to claim 1, characterized in that: The remaining capacity of the battery is determined based on a human monitoring result of the output power of the battery.

3. The power supply method for the blasting vibration automatic monitoring device according to claim 1, characterized in that: When the power quality of the photovoltaic device is less than a preset quality threshold, it is determined that the power quality of the photovoltaic device is abnormal.

4. The power supply method for the blasting vibration automatic monitoring device according to claim 1, characterized in that: When there is no abnormality in the power quality of the photovoltaic device, the photovoltaic device is controlled to charge the battery until the rated capacity is reached.

5. The power supply method for the blasting vibration automatic monitoring device according to claim 1, characterized in that: The method for determining the predicted amount of power generation of the photovoltaic device in the remaining period of the current date is: Determine the historical power generation data of the photovoltaic device at different remaining time periods on the current date based on the historical power generation data of the photovoltaic device at the upcoming date, and determine the average value of the historical power generation at different remaining time periods based on the historical power generation data of the remaining time periods; The predicted power generation of the photovoltaic device in the remaining period of the current date is determined by summing up the average values ​​of the historical power generation in different remaining periods.

6. The power supply method for the blasting vibration automatic monitoring device according to claim 5, characterized in that: When the sum of the predicted power generation of the photovoltaic device in the remaining period of the current date and the remaining capacity of the battery can meet a power demand that is greater than the photovoltaic device in the future preset period of time, it is determined that the predicted power generation of the photovoltaic device in the remaining period of the current date meets the requirements.

7. A monitoring device, using the power supply method for blasting vibration automatic monitoring device according to any one of claims 1 to 6, characterized in that: Specifically include: Monitoring module, battery module, photovoltaic device, power supply module; The monitoring module is responsible for acquiring monitoring data, the battery module is responsible for using the power supply module to power the monitoring module, and the photovoltaic device uses the power supply module to power the battery module.

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