Video monitoring system control method and device, storage medium and program product

Abstract

The embodiment of the invention provides a video monitoring system control method and device, a storage medium and a program product, which are applied to unattended video monitoring of a power transmission line. According to the video monitoring system control method, the video monitoring system is provided with a power source, the power source comprises a plurality of single batteries, the single batteries generate power through photovoltaic panels, and the method comprises the steps that the temperature of the single batteries is obtained; when the temperature of the single battery exceeds a preset temperature interval, calculating a temperature change rate of the single battery in a preset time; obtaining a predicted fault of the single battery according to the temperature change rate of the single battery; and constructing automatic activation of a protection measure according to the predicted fault. The problem that power supply of the video monitoring system is unstable due to the fact that protective measures cannot be taken in time before the power supply breaks down can be solved.

Description

Technical Field

[0001] This application relates to the field of video surveillance technology, specifically to a video surveillance system control method and apparatus. Background Technology

[0002] In the field of power transmission lines, unattended video surveillance systems play a crucial role, enabling real-time monitoring of line operation and timely detection of potential faults and safety hazards. Currently, these systems often utilize photovoltaic panels to charge individual battery cells, ensuring continuous operation in environments without mains power, such as in the field. However, the performance and stability of individual battery cells are significantly affected by varying ambient temperatures. Excessively high or low temperatures not only accelerate battery aging but can also lead to battery failure, thus impacting the normal operation of the entire video surveillance system. For example, in high-temperature environments, batteries may experience thermal runaway, causing safety issues; in low-temperature environments, battery charging and discharging efficiency decreases drastically, failing to provide sufficient power to the monitoring system. Existing technologies often lack effective monitoring and accurate prediction of individual battery temperature changes, making it difficult to take timely protective measures before battery failure occurs. Furthermore, they cannot rationally adjust camera operating parameters based on battery status and photovoltaic panel power generation, resulting in low overall system efficiency and inefficient resource utilization. Summary of the Invention

[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a video surveillance system control method and apparatus, aiming to solve the problem of unstable power supply for video surveillance caused by power supply failures in unattended transmission lines.

[0004] Firstly, this application provides a video surveillance system control method, applied to unattended video surveillance of power transmission lines.

[0005] The video surveillance system is equipped with a power supply, which includes multiple individual batteries. Each individual battery generates electricity via a photovoltaic panel. The method includes:

[0006] Obtain the temperature of the individual battery cell;

[0007] When the temperature of the single cell exceeds the preset temperature range, calculate the temperature change rate of the single cell within a preset time.

[0008] The predicted fault of the individual cell is obtained based on the temperature change rate of the individual cell;

[0009] Automatic activation of protective measures based on the predicted failures.

[0010] Optionally, the predicted fault of the single cell can be obtained based on the temperature change rate of the single cell, including one of the following:

[0011] When the temperature of the single cell is greater than a first preset temperature and the rate of temperature change of the single cell is greater than the first preset temperature change rate, the predicted fault of the single cell is a high temperature fault.

[0012] When the temperature of the single cell is lower than the second preset temperature and the temperature change rate of the single cell is greater than the second preset temperature change rate, the predicted fault of the single cell is a low temperature fault.

[0013] Optionally, the video surveillance system further includes a cooling fan connected to the individual battery; the automatic activation of the protective measures based on the predicted fault includes:

[0014] When the predicted fault is a high-temperature fault, the cooling fan is automatically activated.

[0015] The speed of the cooling fan is adjusted according to the first preset temperature change rate, wherein the speed of the cooling fan is positively correlated with the temperature change rate of the individual battery cell.

[0016] Optionally, the video surveillance system further includes a low-temperature heating module connected to the individual battery cell. The low-temperature heating module is used to heat the individual battery cell and automatically activate protective measures based on predicted faults in the individual battery cell, including:

[0017] When the predicted fault is a low-temperature fault, the voltage and current of the individual cell are obtained;

[0018] The low-temperature heating module is automatically activated based on the voltage and current of the individual battery cell. The heating power of the low-temperature heating module is positively correlated with the temperature change rate of the individual battery cell, and negatively correlated with the current of the individual battery cell.

[0019] Optionally, the video surveillance system is equipped with a camera; after obtaining the predicted fault of the individual battery based on the temperature change rate of the individual battery, it further includes:

[0020] Obtain the predicted power generation of the photovoltaic panel;

[0021] The operating parameters of the camera are adjusted based on the predicted fault of the individual battery and the predicted power generation of the photovoltaic panel. The operating parameters of the camera include resolution, frame rate, and exposure rate.

[0022] Optionally, obtaining the predicted power generation of the photovoltaic panel includes:

[0023] Obtain weather forecast data for the location of the single battery cell, wherein the weather forecast data includes parameters such as sunshine duration and cloud cover rate;

[0024] Extract sunshine duration and cloud cover parameters from weather forecast data;

[0025] The predicted power generation of the photovoltaic panel is calculated based on the parameters of sunshine duration and cloud cover rate.

[0026] Optionally, the preset temperature range is determined based on the aging state of the individual battery and the ambient temperature.

[0027] Secondly, this application provides a video surveillance device, comprising:

[0028] A power source comprising a photovoltaic panel and multiple individual cells, each individual cell being equipped with a temperature sensor;

[0029] The temperature control execution unit includes a heat dissipation fan and a low-temperature heating module that are attached to the individual battery cell;

[0030] The controller is configured to acquire the temperature of the individual battery cell;

[0031] When the temperature of the single cell exceeds the preset temperature range, calculate the temperature change rate of the single cell within a preset time.

[0032] The predicted fault of the individual cell is obtained based on the temperature change rate of the individual cell;

[0033] Automatic activation of protective measures based on the predicted failures.

[0034] Thirdly, this application provides a computer-readable storage medium storing computer-executable instructions for performing the video surveillance system control method as described in the first aspect above.

[0035] Fourthly, this application provides a computer program product, including a computer program or computer instructions, characterized in that the computer program or computer instructions are stored in a computer-readable storage medium, a processor of a computer device reads the computer program or computer instructions from the computer-readable storage medium, and the processor executes the computer program or computer instructions, causing the computer device to perform the video surveillance system control method as described in the first aspect above.

[0036] According to the technical solution of the embodiments of this application, at least the following beneficial effects are achieved: A video surveillance system control method according to an embodiment of this application is applied to unattended video surveillance of power transmission lines. The video surveillance system is equipped with a power supply, which includes multiple individual batteries. Each individual battery generates electricity through a photovoltaic panel. The video surveillance system control method includes: acquiring the temperature of each individual battery; when the temperature of an individual battery exceeds a preset temperature range, calculating the temperature change rate of the individual battery within a preset time; obtaining a predicted fault of the individual battery based on the temperature change rate; and automatically activating protective measures based on the predicted fault. This embodiment of the application can predict individual battery faults based on the temperature change rate of the individual battery and automatically take protective measures such as heat dissipation or heating, effectively avoiding battery faults due to high or low temperatures, greatly reducing the battery failure rate, extending the battery's service life, and solving the problem of unstable power supply for power transmission line video surveillance caused by power failure, thereby ensuring the stable operation of the video surveillance system.

[0037] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0038] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0039] Figure 1 This is a schematic diagram of the structure of a video surveillance system provided in one embodiment of this application.

[0040] Figure 2 This is a flowchart of a video surveillance system control method provided in one embodiment of this application;

[0041] Figure 3 This is a flowchart of a video surveillance system control method provided in one embodiment of this application;

[0042] Figure 4 This is a flowchart of a video surveillance system control method provided in one embodiment of this application;

[0043] Figure 5 This is a flowchart of a video surveillance system control method provided in one embodiment of this application;

[0044] Figure 6 This is a flowchart of a video surveillance system control method provided in one embodiment of this application;

[0045] Figure 7 This is a flowchart of a video surveillance system control method provided in one embodiment of this application;

[0046] Figure 8 This is a schematic diagram of a controller for performing a video surveillance system control method according to an embodiment of this application.

[0047] Figure label:

[0048] 100. Power supply; 101. Single battery cell; 102. Photovoltaic panel; 103. Temperature sensor

[0049] 200. Temperature control actuator; 201. Cooling fan; 202. Low-temperature heating module

[0050] 300. Controller; 301. Memory; 302. Processor

[0051] 400, camera Detailed Implementation

[0052] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0053] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0054] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0055] In the description of this application, unless otherwise expressly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0056] In some cases, battery temperature alarms are triggered only by a fixed threshold. This method can only identify faults caused by sudden changes in temperature, not gradual ones. Furthermore, it cannot eliminate the influence of ambient temperature. When the ambient temperature is particularly high, the battery temperature will increase even under normal operating conditions, easily exceeding the fixed threshold. In such situations, incorrect battery fault predictions are highly likely. In other cases, the system may issue a warning when a battery fault is detected, but it may not automatically activate protective measures, thus failing to automatically and promptly eliminate the fault, further leading to unstable operation of the video surveillance system.

[0057] Based on the above, this application proposes a video surveillance system control method, device, storage medium, and program product, aiming to solve the problem of unstable power supply in video surveillance systems caused by the inability to take timely protective measures before a power failure occurs.

[0058] The various embodiments of the video surveillance system of this application will be further described below with reference to the accompanying drawings.

[0059] like Figure 1 As shown, Figure 1 This is a schematic diagram of the structure of a video surveillance system provided in one embodiment of this application.

[0060] In one embodiment, the video surveillance device 10 is applied to a power transmission line. The power supply 100 includes a single battery cell 101, a photovoltaic panel 102, and a temperature sensor 103 equipped on the single battery cell 101. A temperature control execution unit 200 includes a cooling fan 201 and a low-temperature heating module 202 attached to the single battery cell 101. A controller 300 is configured to: acquire the temperature of the single battery cell; calculate the temperature change rate of the single battery cell within a preset time when the temperature of the single battery cell exceeds a preset temperature range; obtain a predicted fault of the single battery cell based on the temperature change rate of the single battery cell; and automatically activate protective measures based on the predicted fault.

[0061] In one embodiment, the video surveillance device 10 further includes a camera 400 for capturing video of the power transmission line.

[0062] Based on the hardware structure of the above embodiments, various embodiments of the video surveillance system control method of this application are presented below.

[0063] like Figure 2 As shown, Figure 2 This is a flowchart of a video surveillance system control method provided in one embodiment of this application; the video surveillance system control method provided in this embodiment includes, but is not limited to, steps S210, S220, S230 and S240, which will be described in turn below.

[0064] S210, Obtain the temperature of a single cell;

[0065] S220. When the temperature of a single cell exceeds the preset temperature range, calculate the temperature change rate of the single cell within a preset time.

[0066] S230. Predict the fault of a single cell based on the temperature change rate of the single cell.

[0067] S240. Automatic activation of protective measures based on predicted faults.

[0068] In one embodiment, the system obtains the temperature of a single battery by detecting the temperature of the single battery through a temperature sensor installed inside the single battery. When the temperature of the single battery exceeds a preset temperature range, the system calculates the rate of temperature change of the single battery within a preset time.

[0069] First, perform step S210: obtain the temperature of a single cell.

[0070] Specifically, a battery pack can contain multiple individual cells. Inside the battery pack, multiple NTC thermistors are arranged, such as on the surface of each individual cell and at the electrode connections. For example, the main control battery pack can have more NTC thermistors, while the slave battery pack can have fewer, ensuring coverage of both high and low temperature points. This not only guarantees broad detection coverage but also reduces the number of NTC thermistors used. The raw temperature data is filtered and calibrated to eliminate noise interference, correct sensor errors, and ensure data accuracy.

[0071] After obtaining the temperature of a single cell through step S210 above, step S220 is then executed: when the temperature of a single cell exceeds a preset temperature range, the temperature change rate of the single cell within a preset time is calculated.

[0072] It should be noted that the preset temperature range is determined based on the aging state of the individual battery cells and the ambient temperature. Aging state is a key indicator for measuring the degree of battery performance degradation, usually expressed as a percentage (100% represents brand new). It mainly reflects the capacity decay and internal resistance increase caused by factors such as electrochemical reactions, temperature stress, and cycle count during battery use. During use, the positive and negative electrode materials undergo crystal damage, electrolyte consumption, and active material shedding, leading to increased internal resistance. Increased internal resistance results in increased heat generation during charging and discharging, thus affecting the detected temperature. Similarly, the aging rate of batteries varies at different temperatures, leading to different battery lifespans. Therefore, to ensure sustainable power supply, the preset temperature differs for batteries in different aging states. Different aging states affect the heat generation during charging and discharging, thus affecting the preset temperature range. The relationship between the preset temperature range and the aging state is corrected based on the battery's SOH under normal operating conditions and the temperature curve during battery operation. Optionally, the normal operating temperature of the battery is Ti, and the aging state is represented by X, where X is the ratio of the actual number of charge-discharge cycles to the designed number of cycles. Ti = f(X) characterizes the relationship between battery temperature and aging degree under normal operating conditions. For example, for every 10% increase in aging, the high temperature threshold is lowered by 2°C. Based on the above relationship, a preset temperature range can be determined based on the normal operating temperature Ti as needed. For example, when the power supply stability of the battery is required to be high, the upper limit of the preset temperature range can be Tmax, and the lower limit of the preset temperature range can be Tmin. Alternatively, the median value of the preset temperature range can be obtained by integrating the aging state with respect to the normal operating temperature Ti.

[0073] Ambient temperature affects the rate of battery heat dissipation, thus affecting the detection temperature. Therefore, dynamically adjusting the preset temperature range based on the ambient temperature can reduce the impact of ambient temperature on the battery detection temperature. Optionally, an ambient temperature-preset temperature range mapping algorithm can be used. Optionally, when the ambient temperature is >35℃, the high-temperature threshold of the preset temperature range is dynamically adjusted according to the rule of "the threshold is lowered by 2℃ for every 5℃ increase in ambient temperature". When the ambient temperature is <-10℃, the low-temperature threshold of the preset temperature range is dynamically adjusted according to the rule of "the threshold is lowered by 1℃ for every 5℃ decrease in ambient temperature".

[0074] By combining the aforementioned preset temperature range with the relationship between the aging state of individual cells and ambient temperature, a baseline for the preset temperature range can be determined using the fitting function Ti = f(X) of the battery temperature Ti and aging degree X under normal battery operation. This baseline is then corrected using ambient temperature, thus obtaining the relationship between the preset temperature range, the aging state of individual cells, and ambient temperature. This relationship is embedded in the controller through a preset model. The controller acquires the ambient temperature and the aging state of individual cells in real time and then calculates the preset temperature range based on the preset model.

[0075] When the temperature of a single cell exceeds the preset temperature range, the rate of temperature change of the single cell within the preset time is calculated. In other words, when the temperature does not exceed the preset temperature range, it is not necessary to calculate the rate of temperature change of the single cell within the preset time. This reduces the computational load and improves the calculation speed, thus enabling rapid identification in real fault situations.

[0076] The preset time can be the same as or longer than the temperature interval for acquiring individual battery temperatures in S210. Preferably, the preset time can be the same as the temperature interval for acquiring individual battery temperatures in S210, so that the rate of change corresponding to each temperature data point taken when the temperature of an individual battery exceeds the preset temperature range can be acquired, thereby enabling timely detection of abnormal temperature changes.

[0077] After calculating the temperature change rate of a single cell within a preset time using step S220, step S230 is then executed: the predicted fault of a single cell is obtained based on the temperature change rate of the single cell.

[0078] like Figure 3 As shown, Figure 3 This is a flowchart of a video surveillance system control method provided in one embodiment of this application, which is shown below. Figure 3 Steps S310 and S320:

[0079] S310: When the temperature of a single cell is greater than the first preset temperature and the temperature change rate of the single cell is greater than the first preset temperature change rate, the predicted fault of the single cell is a high temperature fault.

[0080] S320: When the temperature of a single cell is lower than the second preset temperature and the temperature change rate of the single cell is greater than the second preset temperature change rate, the predicted fault of the single cell is a low temperature fault.

[0081] Here, the first preset temperature change rate and the second preset temperature change rate are different; the first preset temperature change rate is greater than the second preset temperature change rate. The failure modes of a single battery cell typically differ at different temperatures, and their temperature change rates also differ. When the temperature of a single battery cell is high, it usually manifests as a thermal failure, such as overcharging / discharging, internal short circuits caused by compression or impact, or a failure of the heat dissipation system. In this case, the battery's heat cannot be dissipated quickly, resulting in a larger temperature change rate for the single battery cell. When the temperature of a single battery cell is low, possible reasons include: the ambient temperature being too low. In low-temperature environments, especially in video surveillance systems for power transmission lines, batteries are often used outdoors in cold conditions, slowing down the internal chemical reaction rate and reducing energy release efficiency, which may manifest as a lower temperature. It could also be due to battery aging or capacity decay. Older batteries have less active material, resulting in insufficient chemical reactions during charging and discharging, reduced heat generation capacity, and potentially a significantly shortened battery life. Alternatively, it could be due to insufficient charging / discharging current, such as when the camera device is in a low-power state, such as standby, or a malfunctioning anti-fog heating module, resulting in less battery heat generation and a naturally lower temperature. When the temperature of a single battery cell is low, it requires less heat dissipation, resulting in a smaller rate of temperature change. Consequently, the second preset temperature change rate for fault detection is also smaller. This setting avoids situations where the same rate of temperature change at different temperatures leads to false or missed fault detections, which could cause the battery to be unable to stably power the camera, affecting the camera's continuous and stable operation.

[0082] In step S310, when the temperature of a single cell is greater than the first preset temperature and the temperature change rate of the single cell is greater than the first preset temperature change rate, the predicted fault of the single cell is a high temperature fault; then steps S410-S420 are executed.

[0083] like Figure 4 As shown, Figure 4 This is a flowchart of a video surveillance system control method provided in one embodiment of this application, which is shown below. Figure 4 Steps S410 and S420:

[0084] S410: When the predicted fault is a high temperature fault, the cooling fan is automatically activated.

[0085] S420: Adjust the speed of the cooling fan according to the first preset temperature change rate, wherein the speed of the cooling fan is positively correlated with the temperature change rate of the individual battery.

[0086] In some embodiments, when a high-temperature fault is predicted, the cooling fan is automatically activated. Specifically, when the controller receives a high-temperature fault predicted by the system, it automatically activates the cooling fan. The speed of the cooling fan is positively correlated with a first preset temperature change rate. Under a high-temperature fault, the temperature gradually increases. The greater the temperature change rate, the faster the temperature rises. At this time, the heat dissipation demand is greater. The higher the fan speed, the more heat can be removed per unit time, thereby ensuring that the battery returns to normal operating condition.

[0087] In step S320, when the temperature of a single cell is lower than a second preset temperature and the temperature change rate of the single cell is greater than the second preset temperature change rate, the predicted fault of the single cell is determined to be a low-temperature fault. Then, steps S510-S520 are executed.

[0088] like Figure 5 As shown, Figure 5 This is a flowchart of a video surveillance system control method provided in one embodiment of this application, which is shown below. Figure 5 Steps S510 and S520:

[0089] When the S510 predicts a low-temperature fault, it obtains the voltage and current of the individual cell.

[0090] The S520 automatically activates the low-temperature heating module based on the voltage and current of the individual battery cells. The heating power of the low-temperature heating module is positively correlated with the temperature change rate of the individual battery cells, and negatively correlated with the current of the individual battery cells.

[0091] In some embodiments, when the predicted fault is a low-temperature fault, the voltage and current of the individual battery cells are further obtained. When the predicted fault is a low-temperature fault, the voltage and current of the individual battery cells may vary. For example, due to the extremely low ambient temperature, the voltage and current of the individual battery cells may appear normal, or they may appear slightly lower than normal. If the voltage of an individual battery cell is within the range of 2.8V-4.5V and the current is within the range of 10A-15A, the battery charging and discharging can be considered normal, and in this case, it is not necessary to activate the low-temperature heating module. When the voltage of an individual battery cell is within the normal range, but the current is much lower than the normal value, it can be predicted that the low discharge rate is caused by a camera malfunction. When the voltage of an individual battery cell is outside the normal range, and the current is also much lower than the normal charging and discharging current of an individual battery cell, it can be determined that the cause is an excessively low charging and discharging rate leading to low temperature, and the temperature change rate exceeds a second preset temperature change rate. This may be due to the low temperature causing low activity of the chemical substances inside the battery. In this case, the low-temperature heating mode is automatically activated to repair the predicted fault.

[0092] In steps S210-S240, the predicted fault is obtained by the temperature and temperature change rate of the individual cell, and the automatic activation of the protection measures is constructed based on the predicted fault. However, steps S610-S620 can be further executed.

[0093] like Figure 6 As shown, Figure 6 This is a flowchart of a video surveillance system control method provided in one embodiment of this application, which is shown below. Figure 6 Steps S610 and S620:

[0094] S610: Obtain the predicted power generation of the photovoltaic panel;

[0095] S620: Adjusts the camera's operating parameters based on the predicted faults of individual cells and the predicted power generation of photovoltaic panels. The camera's operating parameters include resolution, frame rate, and exposure rate.

[0096] In step S610, the predicted power generation of the photovoltaic panel is obtained according to the prediction model built into the system. Here, the predicted power generation of the photovoltaic panel is predicted based on meteorological data for a future period of time combined with the parameters of the photovoltaic panel. The specific steps are as follows: S710-S730.

[0097] like Figure 7 As shown, Figure 7 This is a flowchart of a video surveillance system control method provided in one embodiment of this application, which is shown below. Figure 7 Steps S710 and S730:

[0098] S710: Acquires weather forecast data for the location of a single battery cell, including parameters such as sunshine duration and cloud cover.

[0099] S720: Extract sunshine duration and cloud cover parameters from weather forecast data;

[0100] S730: Calculates the predicted power generation of photovoltaic panels based on parameters such as sunshine duration and cloud cover rate.

[0101] In step S710, weather forecast data of the location of the individual battery cell is obtained through the communication interface. The weather forecast data includes parameters such as sunshine duration and cloud cover rate, which are important factors affecting photovoltaic power generation.

[0102] In step S720, the sunshine duration and cloud cover parameters are extracted from the weather forecast data. Here, sunshine duration affects the time available for photovoltaic power generation, and cloud cover represents the proportion of the sky covered by clouds to the total sky area, which affects the efficiency of photovoltaic power generation.

[0103] In step S730, the predicted power generation of the photovoltaic panel is calculated based on the parameters of sunshine duration and cloud cover rate. Specifically, the system has a built-in prediction model, which is parameterized and can obtain parameters of the photovoltaic panel, such as area size, conversion efficiency, and installation tilt angle, which are the basis for determining power generation capacity. Simultaneously, by inputting the parameters of sunshine duration and cloud cover rate, the predicted power generation of the photovoltaic panel can be obtained. It is understood that the prediction model can utilize statistical methods (such as time series analysis) or machine learning algorithms (such as neural networks), without specific limitations here. Furthermore, this prediction model can analyze the actual power generation of the photovoltaic panel in the past based on historical power generation data, and combine this with meteorological data to establish a correlation model for predicting future trends.

[0104] In step S620, the camera's operating parameters are adjusted based on the predicted fault of a single battery cell and the predicted power generation of the photovoltaic panel. These parameters include resolution, frame rate, and exposure rate. Cameras have various parameters that affect the clarity of video or images. In modern intelligent control, the automatic mode typically aims for optimal clarity without considering other factors, such as exposure rate. In good lighting conditions, the exposure rate is set lower to avoid overexposure, while in poor lighting conditions, it is set higher to avoid underexposure, assuming sufficient power supply. When power supply is insufficient, such as when the predicted power generation of the photovoltaic panel is lower than normal operating consumption, the camera's operating parameters need to be adjusted to a low-energy mode to ensure continuous and stable operation. For example, during continuous rainy weather, when the predicted power generation of the photovoltaic panel is lower than normal operating consumption, a low exposure rate is used even in poor lighting conditions. Simultaneously, the camera's resolution and frame rate can be adjusted to reduce energy consumption.

[0105] Based on the video surveillance system control methods described above, the following presents various embodiments of the apparatus, computer-readable storage medium, and computer program product of this application.

[0106] One embodiment of this application also provides a video surveillance device 10, such as... Figure 1 As shown. The video surveillance device 10 includes a controller 300, which includes a processor 302, a memory 301, and a computer program stored in the memory 301 and executable on the processor 302. Figure 8 As shown, Figure 8 This is a schematic diagram of a controller for executing a video surveillance system control method according to an embodiment of this application, wherein, Figure 8 The example uses a processor 302 and a memory 301.

[0107] The processor 302 and the memory 301 can be connected via a bus or other means. Figure 8Taking the example of a connection between China and Israel via a bus.

[0108] Memory 301, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory 301 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 301 may optionally include remotely located memories 301 relative to processor 302, which can be connected to controller 300 via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0109] Those skilled in the art will understand that Figure 8 The device structure shown does not constitute a limitation on the controller 300 and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0110] exist Figure 8 In the controller 300 shown, the processor 302 can be used to call the control program stored in the memory 301, thereby implementing the video surveillance system control method described above. Specifically, the non-transitory software program and instructions required to implement the video surveillance system control method of the above embodiment are stored in the memory 301. When executed by the processor 302, the video surveillance system control method of the above embodiment is executed.

[0111] It is worth noting that, since the controller 300 of this application embodiment can execute the video surveillance system control method of any of the above embodiments, the specific implementation method and technical effects of the controller 300 of this application embodiment can refer to the specific implementation method and technical effects of the video surveillance system control method of any of the above embodiments.

[0112] It is worth noting that, since the video surveillance system of this application includes the controller of the above embodiments, and the controller of the above embodiments can execute the video surveillance system control method of any of the above embodiments, the specific implementation method and technical effect of the video surveillance device of this application can refer to the specific implementation method and technical effect of the video surveillance system control method of any of the above embodiments.

[0113] Furthermore, one embodiment of this application provides a computer-readable storage medium storing computer-executable instructions for performing the video surveillance system control method described above. Exemplarily, the above-described method is executed... Figures 2-7 The methods and steps in the text.

[0114] It is worth noting that, since the computer-readable storage medium of this application embodiment can execute the video surveillance system control method of any of the above embodiments, the specific implementation and technical effects of the computer-readable storage medium of this application embodiment can be referred to the specific implementation and technical effects of the video surveillance system control method of any of the above embodiments.

[0115] Furthermore, one embodiment of this application also provides a computer program product, including a computer program or computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer program or computer instructions from the computer-readable storage medium and executes the computer program or computer instructions, causing the computer device to perform the video surveillance system control method described above. Exemplarily, the above-described method is performed... Figures 2-7 The methods and steps in the text.

[0116] It is worth noting that, since the computer program product of this application embodiment can execute the video surveillance system control method of any of the above embodiments, the specific implementation method and technical effect of the computer program product of this application embodiment can refer to the specific implementation method and technical effect of the video surveillance system control method of any of the above embodiments.

[0117] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically include computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0118] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed systems, instruments, and methods can be implemented in other ways. For example, the instrument embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between instruments or units may be electrical, mechanical, or other forms. Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, i.e., they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0120] It should also be understood that the various implementation methods provided in this application can be combined arbitrarily to achieve different technical effects.

[0121] The above provides a detailed description of the preferred embodiments of this application. However, this application is not limited to the above-described embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.

Claims

1. A video surveillance system control method, applied to unattended video surveillance of power transmission lines, characterized in that, The video surveillance system is equipped with a power supply, which includes multiple individual batteries. Each individual battery generates electricity via a photovoltaic panel. The method includes: Obtain the temperature of the individual battery cell; When the temperature of the single cell exceeds the preset temperature range, calculate the temperature change rate of the single cell within a preset time. The predicted fault of the individual cell is obtained based on the temperature change rate of the individual cell; Automatic activation of protective measures based on the predicted failures.

2. The method according to claim 1, characterized in that, The predicted fault of the single cell is obtained based on the temperature change rate of the single cell, including one of the following: When the temperature of the single cell is greater than a first preset temperature and the rate of temperature change of the single cell is greater than the first preset temperature change rate, the predicted fault of the single cell is a high temperature fault. When the temperature of the single cell is lower than the second preset temperature and the temperature change rate of the single cell is greater than the second preset temperature change rate, the predicted fault of the single cell is a low temperature fault.

3. The method according to claim 2, characterized in that, The video surveillance system also includes a cooling fan connected to the individual battery; and automatic activation of protective measures based on the predicted faults, including: When the predicted fault is a high-temperature fault, the cooling fan is automatically activated. The speed of the cooling fan is adjusted according to the first preset temperature change rate, wherein the speed of the cooling fan is positively correlated with the temperature change rate of the individual battery cell.

4. The method according to claim 2, characterized in that, The video surveillance system also includes a low-temperature heating module connected to the individual battery cell. The low-temperature heating module is used to heat the individual battery cell and automatically activates protective measures based on predicted faults in the individual battery cell, including: When the predicted fault is a low-temperature fault, the voltage and current of the individual cell are obtained; The low-temperature heating module is automatically activated based on the voltage and current of the individual battery cell. The heating power of the low-temperature heating module is positively correlated with the temperature change rate of the individual battery cell, and negatively correlated with the current of the individual battery cell.

5. The method according to claim 1, characterized in that, The video surveillance system is equipped with cameras; after determining the predicted fault of the individual battery based on its temperature change rate, it also includes: Obtain the predicted power generation of the photovoltaic panel; The operating parameters of the camera are adjusted based on the predicted fault of the individual battery and the predicted power generation of the photovoltaic panel. The operating parameters of the camera include resolution, frame rate, and exposure rate.

6. The method according to claim 5, characterized in that, Obtaining the predicted power generation of the photovoltaic panel includes: Obtain weather forecast data for the location of the single battery cell, wherein the weather forecast data includes parameters such as sunshine duration and cloud cover rate; Extract sunshine duration and cloud cover parameters from weather forecast data; The predicted power generation of the photovoltaic panel is calculated based on the parameters of sunshine duration and cloud cover rate.

7. The method according to claim 1, characterized in that, The preset temperature range is determined based on the aging state of the individual battery cells and the ambient temperature.

8. A video surveillance system device, characterized in that, include: A power source comprising a photovoltaic panel and multiple individual cells, each individual cell being equipped with a temperature sensor; The temperature control execution unit includes a heat dissipation fan and a low-temperature heating module that are attached to the individual battery cell; The controller is configured to acquire the temperature of the individual battery cell; When the temperature of the single cell exceeds the preset temperature range, calculate the temperature change rate of the single cell within a preset time. The predicted fault of the individual cell is obtained based on the temperature change rate of the individual cell; Automatic activation of protective measures based on the predicted failures.

9. A computer-readable storage medium, characterized in that: The system stores computer-executable instructions for performing the video surveillance system control method as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program or computer instructions, characterized in that, The computer program or the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer program or the computer instructions from the computer-readable storage medium and executes the computer program or the computer instructions, causing the computer device to perform the video surveillance system control method as described in any one of claims 1 to 7.

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