A control method for emergency warning device

By introducing a cloud platform into emergency early warning equipment, analyzing and managing the data of photovoltaic panels and batteries, the problem of poor power management of existing equipment is solved, and 24-hour long battery life and low power consumption are achieved, reducing costs and operation and maintenance difficulties.

CN115426383BActive Publication Date: 2025-04-08SICHUAN HENGYUNTONG TECH CO LTD +2
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Patent Information

Application Number
CN202210983122.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-08-16
Publication Date
2025-04-08
Estimated Expiration
2042-08-16

AI Technical Summary

Technical Problem

The power management of existing emergency warning equipment is simple, which makes it difficult to achieve a 24-hour battery life under extreme outdoor conditions, increasing product costs and operation and maintenance costs. At the same time, the RTU lacks energy control functions and cannot analyze environmental information, equipment battery power and working conditions.

Method used

An emergency early warning device is designed, including sensor module, photovoltaic panel module and battery. The field data, battery power and photovoltaic panel voltage are analyzed and judged through the cloud platform, and the sensor acquisition frequency and the transmission frequency of the main control equipment are controlled to achieve automatic management of energy consumption.

Benefits of technology

It minimizes the power consumption of the device, ensures that the equipment is online 24 hours a day, can collect monitoring data in real time, and obtain on-site data in real time in emergency situations, reduces battery capacity and photovoltaic panel area, and reduces product costs and operation and maintenance costs.

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Abstract

The present invention discloses an emergency warning device and a control method thereof, which belongs to the technical field of safety monitoring, and comprises: a sensor module, a photovoltaic panel module, a storage battery, and the photovoltaic panel module comprises: a photovoltaic panel, a main control device, and a cloud platform. The cloud platform, the sensor module, the photovoltaic panel and the storage battery are all connected to the main control device for communication. The main control device is used for receiving and sending field data collected by the sensor module, the voltage data of the storage battery, the power data of the photovoltaic panel, and receiving the result output by the cloud platform; the cloud platform is used for analyzing and judging the field data, the power generation voltage data and the power data, and controlling the collection frequency of the sensor collection module and the sending frequency of the main control device, so as to realize emergency monitoring of environmental information, minimize the power consumption of the device, and achieve the goal of reducing the battery capacity and the area of ​​the photovoltaic panel, as well as the size of the supporting structural support parts in the same application scenario, thereby reducing the cost and the difficulty of installation and construction.
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Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic data analysis, and in particular to an emergency warning device and a control method thereof. Background Art

[0002] In the emergency warning industry, the equipment is installed outdoors. In most cases, there is no mains power supply. Basically, the emergency equipment is powered by photovoltaic panels + batteries. The data collected by the sensors is transmitted to the cloud platform through the RTU of the emergency equipment. The RTU requires the sensors to work 24 hours a day, and the equipment is powered by a combination of photovoltaic panels and batteries. However, most of the current emergency equipment products have relatively simple management of power supply and power consumption. In various extreme outdoor conditions, in order to maintain the 24-hour long battery life of the equipment, it is achieved by increasing the area of ​​photovoltaic panels and the capacity of batteries. This will increase the overall cost of the product, the difficulty of installation and construction, and the operation and maintenance cost of the equipment.

[0003] At the same time, the RTUs in most emergency warning devices do not have energy management functions, but only data collection functions, and cannot analyze environmental information, equipment battery power, and current working conditions. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art that power supply and power consumption are currently managed by increasing the area of ​​photovoltaic panels and batteries, which increases product costs and real-time operation and maintenance costs, and that the existing RTU does not have energy management functions and cannot analyze environmental information, equipment battery power, and current working conditions, and to provide an emergency warning device and a control method thereof.

[0005] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

[0006] An emergency warning device comprises: a sensor module, a photovoltaic panel module, and a storage battery. The photovoltaic panel module comprises: a photovoltaic panel, a main control device, and a cloud platform. The cloud platform and the sensor module are communicatively connected with the main control device. The photovoltaic panel and the storage battery are electrically connected with the sensor module.

[0007] The main control device is used to receive and send the field data collected by the sensor module, the voltage data of the battery, the power data of the photovoltaic panel, and receive the results output by the cloud platform;

[0008] The cloud platform is used to analyze and judge the field data, the power generation voltage data and the power data, and to control the collection frequency of the sensor collection module and the sending frequency of the main control device.

[0009] By adopting the above technical solution, a cloud platform is added to analyze and judge the field data, battery power, and photovoltaic panel voltage, so as to realize automatic management of the energy consumption of the device, minimize the power consumption of the device, ensure that the equipment is online 24 hours a day, and can collect on-site monitoring data in real time. In the event of an emergency, the on-site monitoring data can be obtained in real time. In the same application scenario, the battery capacity and photovoltaic panel area, as well as the size of the supporting structural support parts, are reduced; the cost of the product and the difficulty of installation and construction are reduced; at the same time, since the size of the photovoltaic panel is reduced, the wind resistance of the product outdoors is reduced, and the operation and maintenance cost of the equipment is reduced.

[0010] As a preferred solution of the present invention, the main control device includes: a DTU module and an RTU module. The DTU module is communicatively connected with the RTU module and the cloud platform. The RTU module is used to receive the field data, the power generation voltage data and the power data. The DTU is used to send the field data, the power generation voltage data and the power data, and has received the result output by the cloud platform.

[0011] As a preferred solution of the present invention, the sensor module includes: a methane concentration sensor, a water pressure sensor, an environmental sensor, a voltage sensor, and a power sensor. The voltage sensor, the power sensor, the methane concentration sensor, the water pressure sensor, and the environmental sensor are connected to the RTU via RS485 communication.

[0012] As a preferred solution of the present invention, the photovoltaic panel is electrically connected to the voltage sensor.

[0013] As a preferred solution of the present invention, the battery is electrically connected to the power sensor.

[0014] On the other hand, a control method of the emergency warning device according to any of the above-mentioned methods comprises the following steps:

[0015] S1: Set thresholds for five energy consumption levels;

[0016] S2: The sensor module collects field data, the power generation voltage data of the photovoltaic panel and the power data of the battery, and the main control device receives the field data, the power generation voltage data and the power data and transmits them to the cloud platform;

[0017] S3: After receiving the field data, the power generation voltage data and the power data, the cloud platform makes a judgment based on the threshold value, thereby controlling the collection frequency of the sensor module and the sending frequency of the main control device.

[0018] By adopting the above technical solution, the field data, battery power, and photovoltaic panel voltage are analyzed and judged through the cloud platform, the energy consumption of the outdoor photovoltaic panel power supply data collection and transmission equipment is optimized, and the energy consumption of the device is managed, thereby achieving the best energy consumption advantage, reducing the device offline situation caused by insufficient power supply, improving the stability of the device, and minimizing the power consumption of the device. It ensures that the equipment is online 24 hours a day, can collect on-site monitoring data in real time, and can obtain on-site monitoring data in real time when an emergency occurs.

[0019] As a preferred solution of the present invention, in step S1, the thresholds of the five levels of energy consumption are:

[0020] Level 1 energy consumption: At all temperatures, there is no power supply or the power supply is less than the load, and the battery power is less than 10%;

[0021] Secondary energy consumption: at all temperatures, there is no power supply or the power supply is less than the load, and the battery power is between 10% and 50%;

[0022] At all temperatures, the power supply is greater than the load and the battery charge is less than 10%;

[0023] The temperature is lower than 20°C, the power supply is greater than the load, and the battery power is between 10% and 50%;

[0024] Level 3 energy consumption: at all temperatures, no power supply or power supply less than the load, the battery power is between 50% and 80%;

[0025] The temperature is below 20°C, the power supply is greater than the load, and the battery power is between 50% and 80%;

[0026] The temperature is higher than 20°C, the power supply is greater than the load, and the battery power is between 10% and 50%;

[0027] Level 4 energy consumption: the temperature is below 20°C, there is no power supply or the power supply is less than the load, and the battery power is between 80% and 100%;

[0028] The temperature is higher than 20°C, the power supply is greater than the load, and the battery power is between 50% and 80%;

[0029] Level 5 energy consumption: at all temperatures, the power supply is greater than the load, and the battery power is between 80% and 100%;

[0030] When the temperature is higher than 20°C, there is no power supply or the power supply is less than the load, the battery power is between 80% and 100%.

[0031] As a preferred solution of the present invention, step S3 comprises:

[0032] The cloud platform determines that the energy consumption is level one, controls the battery to stop supplying power to the sensor module, and controls the main control device to connect to the cloud platform regularly, sending a result output by the cloud platform every 12 hours, and each connection lasts for 5 minutes;

[0033] The cloud platform determines that it is a secondary energy consumption, controls the storage battery to supply power to the sensor module once every 1 hour, and controls the main control device to connect to the cloud platform regularly, and the main control device receives the field data, the power generation voltage data and the power data once every 1 hour, sends the field data, the power generation voltage data and the power data once every 2 hours, and receives the result output by the cloud platform once;

[0034] The cloud platform determines that the energy consumption is level 3, the battery continues to supply power, the main control device and the cloud platform remain connected, and the main control device collects field data, the power generation voltage data and the power data every 30 minutes;

[0035] The cloud platform determines that the energy consumption is level 4, the battery continues to supply power, the main control device and the cloud platform remain connected, and the main control device collects field data, the power generation voltage data and the power data every 10 minutes;

[0036] The cloud platform determines that the energy consumption is level 5, the photovoltaic panel continues to supply power, the main control device and the cloud platform remain connected, and the main control device collects field data, the power generation voltage data and the power data every 10 seconds.

[0037] Compared with the prior art, the beneficial effects of the present invention are as follows: by adopting the above technical scheme, a cloud platform is added to analyze and judge the field data, battery power, and photovoltaic panel voltage, so as to realize automatic management of the energy consumption of the device, minimize the power consumption of the device, ensure that the equipment is online 24 hours a day, and can collect field monitoring data in real time, and can obtain field monitoring data in real time when an emergency occurs; in the same application scenario, the battery capacity and photovoltaic panel area, as well as the size of the supporting structural support parts, are reduced; the cost of the product and the difficulty of installation and construction are reduced; at the same time, since the size of the photovoltaic panel is reduced, the wind resistance of the product outdoors is reduced, and the operation and maintenance cost of the equipment is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a structural block diagram of an emergency warning device according to Embodiment 1 of the present invention;

[0039] Figure 2 This is a structural block diagram of an emergency warning device according to Embodiment 1 of the present invention;

[0040] Figure 3 This is a flow chart of a control method for an emergency warning device described in Example 2 of the present invention. DETAILED DESCRIPTION

[0041] The present invention is further described in detail below in conjunction with test examples and specific implementation methods. However, this should not be understood as the scope of the above subject matter of the present invention being limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0042] Example 1

[0043] An emergency warning device, such as Figure 1 As shown, it includes: a sensor module, a photovoltaic panel module, a battery, the photovoltaic panel module includes: a photovoltaic panel, a main control device, and a cloud platform, the cloud platform and the sensor module are communicatively connected with the main control device, and the photovoltaic panel and the battery are electrically connected with the sensor module;

[0044] The main control device is used to receive and send the field data collected by the sensor module, the voltage data of the battery, the power data of the photovoltaic panel, and receive the results output by the cloud platform;

[0045] The cloud platform is used to analyze and judge the field data, the power generation voltage data and the power data, and to control the collection frequency of the sensor collection module and the sending frequency of the main control device.

[0046] Specifically, the battery is a lead-acid battery.

[0047] like Figure 2 As shown, the main control device includes: a DTU module and an RTU module. The DTU module is communicatively connected with the RTU module and the cloud platform module. The RTU module is used to receive the field data, the power generation voltage data and the power data. The DTU is used to send the field data, the power generation voltage data and the power data, and receive the results output by the cloud platform.

[0048] The sensor module includes: a methane concentration sensor, a water pressure sensor, an environmental sensor, a voltage sensor, and a power sensor. The voltage sensor, the power sensor, the methane concentration sensor, the water pressure sensor, and the environmental sensor are connected to the RTU via RS485 communication.

[0049] The photovoltaic panel is electrically connected to the voltage sensor.

[0050] The storage battery is electrically connected to the power sensor.

[0051] By adopting the above technical solution, a cloud platform is added to analyze and judge the field data, battery power, and photovoltaic panel voltage, so as to realize automatic management of the energy consumption of the device, minimize the power consumption of the device, ensure that the equipment is online 24 hours a day, and can collect field monitoring data in real time. In the event of an emergency, the field monitoring data can be obtained in real time; in the same application scenario, the battery capacity and photovoltaic panel area, as well as the size of the supporting structural support parts, are reduced; the cost of the product and the difficulty of installation and construction are reduced; at the same time, since the size of the photovoltaic panel is reduced, the wind resistance of the product outdoors is reduced, and the operation and maintenance cost of the equipment is reduced.

[0052] Example 2

[0053] A control method for the emergency warning device according to embodiment 1, as follows Figure 3 As shown, the following steps are included:

[0054] S1: Set thresholds for five energy consumption levels;

[0055] S2: The sensor module collects field data, the power generation voltage data of the photovoltaic panel and the power data of the battery, and the main control device receives the field data, the power generation voltage data and the power data and transmits them to the cloud platform;

[0056] S3: After receiving the field data, the power generation voltage data and the power data, the cloud platform makes a judgment based on the threshold value, thereby controlling the collection frequency of the sensor module and the sending frequency of the main control device.

[0057] In step S1, the thresholds of the five levels of energy consumption are:

[0058] Level 1 energy consumption: At all temperatures, there is no power supply or the power supply is less than the load, and the battery power is less than 10%;

[0059] Secondary energy consumption: at all temperatures, there is no power supply or the power supply is less than the load, and the battery power is between 10% and 50%;

[0060] At all temperatures, the power supply is greater than the load and the battery charge is less than 10%;

[0061] The temperature is lower than 20°C, the power supply is greater than the load, and the battery power is between 10% and 50%;

[0062] Level 3 energy consumption: at all temperatures, no power supply or power supply less than the load, the battery power is between 50% and 80%;

[0063] The temperature is below 20°C, the power supply is greater than the load, and the battery power is between 50% and 80%;

[0064] The temperature is higher than 20°C, the power supply is greater than the load, and the battery power is between 10% and 50%;

[0065] Level 4 energy consumption: the temperature is below 20°C, there is no power supply or the power supply is less than the load, and the battery power is between 80% and 100%;

[0066] The temperature is higher than 20°C, the power supply is greater than the load, and the battery power is between 50% and 80%;

[0067] Level 5 energy consumption: at all temperatures, the power supply is greater than the load, and the battery power is between 80% and 100%; when the temperature is higher than 20°C, there is no power supply or the power supply is less than the load, and the battery power is between 80% and 100%.

[0068]

[0069]

[0070] Threshold table

[0071] The step S3 comprises:

[0072] The cloud platform determines that it is level 1 energy consumption, controls the battery to stop supplying power to the sensor module, and controls the main control device to connect to the cloud platform regularly, and sends the results output by the cloud platform once every 12 hours, and each connection lasts for 5 minutes;

[0073] Specifically, the first level energy consumption is an ultra-low power consumption mode. The DTU module connects to the cloud platform regularly and receives a result output by the cloud platform every 12 hours. Each connection lasts for 5 minutes. The core program of the RTU module is dormant and wakes up only when the DTU module can send data.

[0074] The cloud platform determines that it is a secondary energy consumption, controls the storage battery to supply power to the sensor module once every 1 hour, and controls the main control device to connect to the cloud platform regularly, and the main control device receives the field data, the power generation voltage data and the power data once every 1 hour, sends the field data, the power generation voltage data and the power data once every 2 hours, and receives the result output by the cloud platform once;

[0075] Specifically, the secondary energy consumption is a low power consumption mode. The DTU module receives the field data, the power generation voltage data and the power data once every hour, sends the field data, the power generation voltage data and the power data once every 2 hours, and receives the result output by the cloud platform once. The RTU module receives the field data, the power generation voltage data and the power data once every hour.

[0076] The cloud platform determines that the energy consumption is level 3, the battery continues to supply power, the main control device and the cloud platform remain connected, and the main control device receives the field data, the power generation voltage data and the power data every 30 minutes;

[0077] Specifically, the third level energy consumption is a normal power consumption mode, and the RTU module collects data from the sensor module once every 30 minutes.

[0078] The cloud platform determines that the energy consumption is level 4, the battery continues to supply power, the main control device and the cloud platform remain connected, and the main control device receives the field data, the power generation voltage data and the power data every 10 minutes;

[0079] Specifically, the fourth level energy consumption is medium power consumption, and the RTU module collects data from the sensor module once every 10 minutes.

[0080] The cloud platform determines that the energy consumption is level 5, the photovoltaic panel continues to supply power, the main control device and the cloud platform remain connected, and the main control device collects field data, the power generation voltage data and the power data every 10 seconds.

[0081] Specifically, the fifth level of energy consumption is high power consumption, and the RTU module collects data from the sensor module once every 10 seconds.

[0082] Specifically, when the local temperature is high (above 20°C), when there is sufficient sunlight, the photovoltaic panels are generating electricity, when the photovoltaic panels generate a large amount of light, the battery is fully charged, and when power is provided to the photovoltaic panels, the fifth energy consumption level is entered.

[0083] When the local temperature is high (above 20° C.), the battery power is above 80%, and the power supply is provided by a mixture of the photovoltaic panel and the battery, or when the battery is used for power supply, the energy consumption enters level 4.

[0084] When the local weather is moderate (20°C), the battery power is between 50% and 80%, the power supply is provided by a combination of the photovoltaic panel and the battery, or when the battery is used for power supply, the energy consumption enters the third level.

[0085] The local temperature is low (below 20° C.), and the battery power is between 10% and 50%. At this time, the battery supplies power and enters the secondary energy consumption.

[0086] The local temperature is low (below 20°C), and the battery power is less than 10%. At this time, the battery supplies power and enters the first level of energy consumption.

[0087] By adopting the above technical solution, the field data, battery power, and photovoltaic panel voltage are analyzed and judged through the cloud platform, the energy consumption of the outdoor photovoltaic panel power supply data collection and transmission equipment is optimized, and the energy consumption of the device is managed, thereby achieving the best energy consumption advantage, reducing the device offline situation caused by insufficient power supply, improving the stability of the device, and minimizing the power consumption of the device. It ensures that the equipment is online 24 hours a day, can collect on-site monitoring data in real time, and can obtain on-site monitoring data in real time when an emergency occurs.

[0088] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A control method for an emergency warning device, characterized in that: The emergency warning device comprises: a sensor module, a battery, a photovoltaic panel, a main control device and a cloud platform, wherein the cloud platform and the sensor module are communicatively connected with the main control device, and the photovoltaic panel and the battery are electrically connected with the sensor module; The main control device is used to receive and send the field data collected by the sensor module, the power generation voltage data of the photovoltaic panel and the power data of the battery, and receive the results output by the cloud platform; The cloud platform is used to analyze and judge the field data, the power generation voltage data and the power data, and control the collection frequency of the sensor collection module and the sending frequency of the main control device; The main control device includes: a DTU module and an RTU module. The DTU module is connected to the RTU module and the cloud platform for communication. The RTU module is used to receive the field data, the power generation voltage data and the power data. The DTU is used to send the field data, the power generation voltage data and the power data, and receive the results output by the cloud platform. The sensor module includes: a methane concentration sensor, a water pressure sensor, an environmental sensor, a voltage sensor, and an electric quantity sensor, wherein the voltage sensor, the electric quantity sensor, the methane concentration sensor, the water pressure sensor, and the environmental sensor are connected to the RTU via RS485 communication; The photovoltaic panel is electrically connected to the voltage sensor; The battery is electrically connected to the power sensor; The control method comprises the following steps: S1: Set thresholds for five energy consumption levels; S2: The sensor module collects field data, the power generation voltage data of the photovoltaic panel and the power data of the battery, and the main control device receives the field data, the power generation voltage data and the power data and transmits them to the cloud platform; S3: After receiving the field data, the power generation voltage data and the power data, the cloud platform makes a judgment according to the threshold value, thereby controlling the collection frequency of the sensor module and the sending frequency of the main control device; In S1, the thresholds of the five energy consumption levels are: Level 1 energy consumption: at all temperatures, there is no power supply or the power supply is less than the load, and the battery power is less than 10%; Secondary energy consumption: At all temperatures, there is no power supply or the power supply is less than the load, and the battery power is between 10% and 50%; at all temperatures, the power supply is greater than the load, and the battery power is less than 10%; at temperatures below 20°C, the power supply is greater than the load, and the battery power is between 10% and 50%; Level 3 energy consumption: At all temperatures, there is no power supply or the power supply is less than the load, and the battery power is between 50% and 80%; when the temperature is below 20°C, the power supply is greater than the load, and the battery power is between 50% and 80%; when the temperature is above 20°C, the power supply is greater than the load, and the battery power is between 10% and 50%; Level 4 energy consumption: when the temperature is lower than 20°C, there is no power supply or the power supply is lower than the load, the battery power is between 80% and 100%; when the temperature is higher than 20°C, the power supply is higher than the load, the battery power is between 50% and 80%; Level 5 energy consumption: At all temperatures, the power supply is greater than the load, and the battery power is between 80% and 100%; when the temperature is higher than 20°C, there is no power supply or the power supply is less than the load, and the battery power is between 80% and 100%; In S3, the cloud platform determines that the energy consumption is level one, controls the battery to stop supplying power to the sensor module, and controls the main control device to connect to the cloud platform regularly, sending the results output by the cloud platform once every 12 hours, and each connection lasts for 5 minutes; The cloud platform determines that it is a secondary energy consumption, controls the storage battery to supply power to the sensor module once every 1 hour, and controls the main control device to connect to the cloud platform regularly, and the main control device receives the field data, the power generation voltage data and the power data once every 1 hour, sends the field data, the power generation voltage data and the power data once every 2 hours, and receives the result output by the cloud platform once; The cloud platform determines that the energy consumption is level 3, the battery continues to supply power, the main control device and the cloud platform remain connected, and the main control device receives the field data, the power generation voltage data and the power data every 30 minutes; The cloud platform determines that the energy consumption is level 4, the battery continues to supply power, the main control device and the cloud platform remain connected, and the main control device receives the field data, the power generation voltage data and the power data every 10 minutes; The cloud platform determines that the energy consumption is level 5, the photovoltaic panel continues to supply power, the main control device and the cloud platform remain connected, and the main control device receives the field data, the power generation voltage data and the power data every 10 seconds.

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