Electrical fire early warning system based on multi-sensor information fusion

Abstract

The utility model discloses an electrical fire early warning system based on multi-sensor information fusion. The electrical fire early warning system comprises a sensor module, a microprocessor, an Internet of Things module, a cloud platform and a user terminal early warning module which are electrically connected in sequence, the sensor module comprises a temperature and humidity sensor, a CO gas sensor, a smoke sensor and an arc light sensor, the temperature and humidity sensor, the CO gas sensor, the smoke sensor and the arc light sensor are respectively connected with the microprocessor, and the microprocessor is further connected with an automatic fire extinguishing device; the cloud platform comprises a first-level alarm module, a second-level alarm module and a third-level alarm module. The Internet of Things module is connected with the first-level alarm module, the second-level alarm module and the third-level alarm module through electric signals. By means of the design, the technical problems that an existing alarm system adopts one or two fire parameters of a temperature sensor or a smoke sensor, the decision condition is single, and wiring is complex are solved.

Description

Technical Field

[0001] The utility model relates to the technical field of fire early warning, and in particular to an electrical fire early warning system based on multi-sensor information fusion. Background Art

[0002] With the increasing degree of industrial automation, the number of electrical equipment and the rapid growth of power load have led to the frequent occurrence of electrical fires. Especially for places such as distribution rooms where electrical equipment is densely distributed and runs for a long time, there are many hidden dangers of electrical fires. Once an electrical fire occurs, it will cause immeasurable losses.

[0003] However, there are many problems with the electrical fire detection and warning system in the prior art, mainly including: 1) The existing electrical fire detection and alarm system mainly focuses on using one or two fire parameters of temperature sensors or smoke sensors, and the decision-making conditions are single. In addition, the sensors themselves have defects, low reliability or poor adaptability to harsh environments, and often produce false alarms and missed alarms, which cannot effectively identify electrical fire alarms in various situations in increasingly complex detection areas. Moreover, it is difficult for these two sensors to detect and effectively control the occurrence of early fires in a timely manner.

[0004] 2) At present, electrical fire detection alarm systems generally use wired methods to transmit electrical fire detection information, which seriously affects the monitoring range of fire detectors in places where wiring is difficult. In addition, the wiring of wired transmission is cumbersome and the cost of laying the line is high, which is prone to electrical line failures. After long-term use, the electrical fire caused by short circuits and aging of the electrical lines themselves is also very dangerous.

[0005] 3) Traditional electrical fire alarm systems have a low level of intelligence and require manual inspection and operation. Fire detection information cannot be remotely monitored, remotely warned, or alarmed in real time. Remote visualization and analysis of data and remote centralized management of all detection equipment and data are not possible, which increases labor costs and management difficulties, resulting in fires not being discovered and eliminated in a timely manner.

[0006] To this end, our company provides an electrical fire warning system based on multi-sensor information fusion to solve the above problems. Utility Model Content

[0007] The utility model aims to overcome the defects in the prior art and provide an electrical fire early warning system based on multi-sensor information fusion.

[0008] In order to achieve the above-mentioned purpose, the utility model adopts the following technical solutions:

[0009] An electrical fire early warning system based on multi-sensor information fusion, comprising: a sensor module, a microprocessor, an Internet of Things module, a cloud platform and a user terminal early warning module electrically connected in sequence;

[0010] The sensor module includes a temperature and humidity sensor, a CO gas sensor, a smoke sensor and an arc sensor, which are respectively connected to a microprocessor, and the microprocessor is also connected to an automatic fire extinguishing device;

[0011] The cloud platform includes a primary alarm module, a secondary alarm module, and a tertiary alarm module; the Internet of Things module is connected to the primary alarm module, the secondary alarm module, and the tertiary alarm module through electrical signals.

[0012] Preferably, the output ends of the temperature and humidity sensor, CO gas sensor, smoke sensor and arc sensor are respectively connected to the input ends of the microprocessor, the microprocessor is electrically connected to the Internet of Things module, the Internet of Things module is wirelessly connected to the cloud platform via electrical signals, and the cloud platform is wirelessly connected to the user terminal early warning module via electrical signals.

[0013] Preferably, the smoke sensor main control chip is an ADPD188BI-ACEZRL chip, and the ADPD188BI-ACEZRL chip integrates two LEDs of different colors and light-emitting diodes corresponding to the two different colors.

[0014] Preferably, the Internet of Things module is a module that uses any one of 5G, 4G, LORA and NB-IOT wireless communications.

[0015] Preferably, the microprocessor main control chip is a STM32F103VET6 chip, and the microprocessor includes an ARM Cortex-M3 32-bit RICS core.

[0016] Preferably, the automatic fire extinguishing device is an S-type aerosol fire extinguisher whose main chemical component of the fire extinguishing agent is strontium nitrate.

[0017] Preferably, the user terminal warning module is a smart terminal, which is one or more of a mobile phone, an i pad, and a computer.

[0018] Compared with the prior art, the beneficial effects of the utility model are:

[0019] In view of the shortcomings of existing technologies, temperature and humidity sensors, CO gas sensors, smoke sensors and arc sensors with high sensitivity and strong anti-interference ability will be used, and multi-sensor information fusion technology will be applied to the electrical fire detection system, which can make up for the low accuracy of single electrical fire characteristic parameter detection and decision-making due to interference from environmental factors. Through the Internet of Things technology, 5G, 4G, LORA, NB-IOT and other wireless communication technologies can be used to upload the collected fire characteristic parameters to the cloud platform, realize remote monitoring of equipment, intelligent early warning, alarm linkage, and alarm information can be pushed through WeChat, SMS and voice, so as to centrally manage all monitoring equipment.

[0020] In addition, the utility model uploads data to the cloud platform through the Internet of Things module. Wireless transmission does not require wiring or wall penetration, and can quickly and cheaply complete the construction of the monitoring network. Network nodes can be added or reduced at will, and operating strategies can be remotely replaced and maintained. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the overall structure of the utility model;

[0022] Figure 2 This is the circuit connection diagram of the Internet of Things module of the utility model;

[0023] Figure 3 This is the circuit connection diagram of the smoke sensor of the utility model;

[0024] Figure 4 This is the circuit connection diagram of the arc sensor of the utility model;

[0025] Figure 5 This is the circuit connection diagram of the CO sensor of the utility model;

[0026] Figure 6 This is the circuit connection diagram of the microprocessor and temperature and humidity sensor of the utility model;

[0027] Figure 7 This is the circuit connection diagram of the automatic fire extinguishing device of the utility model.

[0028] A preferred embodiment of the present invention will be described below in conjunction with the accompanying drawings to clearly and completely describe the technical solution in a preferred embodiment of the present invention.

[0029] Embodiment 1:

[0030] An electrical fire early warning system based on multi-sensor information fusion, comprising: a sensor module, a microprocessor, an Internet of Things module, a cloud platform and a user terminal early warning module electrically connected in sequence;

[0031] The sensor module includes a temperature and humidity sensor, a CO gas sensor, a smoke sensor and an arc sensor, which are respectively connected to a microprocessor, and the microprocessor is also connected to an automatic fire extinguishing device;

[0032] The cloud platform includes a primary alarm module, a secondary alarm module, and a tertiary alarm module; the Internet of Things module is connected to the primary alarm module, the secondary alarm module, and the tertiary alarm module through electrical signals.

[0033] Through the above design, the microprocessor of the utility model performs local processing and filtering on the information collected by the sensor module, and then performs information fusion analysis, and divides the information into a warning period, an alarm period and an open flame period according to the development process of the fire, corresponding to the first-level alarm, the second-level alarm and the third-level alarm respectively. The first-level warning corresponds to the warning level when the highly sensitive CO gas sensor detects the abnormal "CO gas concentration" or the smoke sensor detects the "visible smoke" or the arc sensor monitors the fault arc; the second-level alarm is the warning level when multiple sensors compositely judge the abnormality; the third-level warning is the warning level when the arc sensor detects the abnormal "flame" and the temperature sensor detects the abnormal "temperature characteristic value" with an obvious upward trend under the premise of the warning period and the alarm period. The third-level warning can be activated in the automatic fire extinguishing device to realize automatic fire extinguishing. Among them, through the Internet of Things module, the threshold and alarm level of the multi-sensor fusion alarm can be revised and adjusted according to the actual environmental conditions.

[0034] Specifically, the output ends of the temperature and humidity sensor, CO gas sensor, smoke sensor and arc sensor are respectively connected to the input ends of the microprocessor, the microprocessor is electrically connected to the Internet of Things module, the Internet of Things module is wirelessly connected to the cloud platform via electrical signals, and the cloud platform is wirelessly connected to the user terminal early warning module via electrical signals.

[0035] Through the above design, the utility model uploads data to the cloud platform through the Internet of Things module. Wireless transmission does not require wiring or wall penetration, and can quickly and cheaply complete the construction of the monitoring network. Network nodes can be added or reduced at will, and operating strategies can be remotely replaced and maintained.

[0036] Specifically, the smoke sensor main control chip is an ADPD188BI-ACEZRL chip, and the ADPD188BI-ACEZRL chip integrates two LEDs of different colors and light-emitting diodes corresponding to the two different colors.

[0037] Through the above design, the utility model integrates two LED lights of different colors and corresponding light-emitting diodes in the ADPD188BI-ACEZRL chip, adopts dual-wavelength technology, collects and compares the parameters of the two light-emitting diodes, can not only monitor the concentration of smoke, but also monitor the particle diameter of smoke, can effectively identify interfering smoke such as water vapor, dust and oil smoke, and reduce the false alarm rate.

[0038] Specifically, the Internet of Things module is a module that uses any one of 5G, 4G, LORA and NB-IOT wireless communications.

[0039] Specifically, the microprocessor main control chip is a STM32F103VET6 chip, and the microprocessor includes an ARM Cortex-M3 32-bit RICS core.

[0040] Specifically, the automatic fire extinguishing device is an S-type aerosol fire extinguisher whose main chemical component of the fire extinguishing agent is strontium nitrate.

[0041] Through the above design, the utility model adopts an electric starting method, or a starting method in which electric starting and thermal line coexist, wherein the electric starting method can be realized by local starting of the microprocessor when the starting conditions are met, or by remote alarm interlock starting of the cloud platform, or by remote manual starting, and the fire extinguishing device gives a feedback signal to the microprocessor after being actuated.

[0042] Specifically, the user terminal warning module is a smart terminal, which is one or more of a mobile phone, an i pad, and a computer.

[0043] Through the above design, the utility model allows users to access the cloud platform using a variety of terminals such as PCs, mobile phones, tablet computers, etc., to query system information, real-time data, alarm records, historical data, etc., and to centrally manage all monitoring devices.

[0044] Embodiment 2:

[0045] The microprocessor includes an STM32F042F6P6 chip and a Header 4 chip, the smoke sensor includes an ADPD188BI-ACEZRL chip and a TXS0102DCTR chip, the 13th pin of the ADPD188BI-ACEZRL chip is connected to the 4th pin of the TXS0102DCTR chip, and the 18th pin is connected to the 5th pin of the TXS0102DCTR chip.

[0046] Pin 1 of the STM32F042F6P6 chip is grounded through R39, pin 4 is connected to VD33 through R21 and grounded through C23, pin 5 is connected to VD33, and pin 15 is grounded; after the 20th capacitor C20 and the 21st capacitor C21 are connected in parallel, one end is connected to pin 15 and the other end is connected to VD33; pin 16 is connected to VD33, and pins 19 and 20 are connected to the Header 4 chip respectively.

[0047] The input end of the STM32F042F6P6 chip is connected to the 8th pin of the TXS0102DCTR chip of the smoke sensor and the 1st pin of the temperature and humidity sensor respectively, the output end of the STM32F042F6P6 chip is connected to the 1st pin of the TXS0102DCTR chip of the smoke sensor and the 4th pin of the temperature and humidity sensor respectively, the input end of the STM32F042F6P6 chip is also connected to VD33 through R22, and the output end of the STM32F042F6P6 chip is also connected to VD33 through R23.

[0048] The output of the CO sensor is connected to pin 11 of the STM32F042F6P6 chip. The CO sensor includes a U12 TGS5141 chip, a U15A MCP6042 chip and a U16A LM358D chip. After the U12 TGS5141 chip is connected in parallel with R26, pin 1 is connected to pin 2 of the U15AMCP6042 chip, and pin 2 is connected to pin 3 of the U15A MCP6042 chip. Pin 4 of the U15A MCP6042 is connected to AGND, and pin 8 is connected to VA5V. The 29th capacitor C29 is connected in parallel with the 27th resistor R27, and one end is connected to pin 2 of the U15A MCP6042 chip, and the other end is connected in parallel with pin 1 of the U15A MCP6042 chip and then connected to one end of R28. The other end of R28 is connected to R29 and R30 at the same time. R30 is connected in parallel with R29 and C30 and then connected to pin 3 of the U16A LM358D chip. U16A Pin 2 of the LM358D chip is connected to pin 1 and then to pin 11 of the STM32F042F6P6 chip. Pin 4 of the U16A LM358D chip is connected to AGND, and pin 8 is connected to VA33.

[0049] The output end of the automatic fire extinguishing device is connected to the 12th pin of the STM32F042F6P6 chip. The automatic fire extinguishing device includes two ELD3H7 photocouplers, a G5NB-1A-E-24VDC chip and a ULN2003 chip. The two ELD3H7 photocouplers are connected to the 1st and 2nd pins of the ULN2003 chip through R76 and R77 respectively, and the 16th pin of the ULN2003 chip is connected to the 4th pin of the G5NB-1A-E-24VDC chip.

[0050] Pin 1 of the arc sensor is connected to pin 7 of the STM32F042F6P6 chip, and pin 6 is connected to pin 6 of the STM32F042F6P6 chip.

[0051] Pin 35 of the IoT module is connected to pin 8 of the STM32F042F6P6 chip, and pin 36 is connected to pin 9 of the STM32F042F6P6 chip.

[0052] Through the above design, the temperature and humidity sensor is electrically connected to the microprocessor to measure the temperature and humidity data in the environment;

[0053] The CO gas sensor is electrically connected to the microprocessor to measure the CO gas concentration in the environment. The main control uses the U12TGS5141 chip, which uses solid electrolyte and is not easily affected by humidity, has high sensitivity and strong anti-interference ability;

[0054] The smoke sensor is electrically connected to the microprocessor to measure the smoke concentration in the environment. The smoke sensor uses a photoelectric smoke sensor with dual-wavelength technology. The ADPD188BI-ACEZRL chip integrates two different color LEDs and corresponding light-emitting diodes, which can not only monitor the concentration of smoke, but also monitor the particle diameter of smoke. It can effectively identify interfering smoke such as water vapor, dust and oil smoke, and reduce the false alarm rate.

[0055] The arc sensor is electrically connected to the microprocessor and is used to measure fault arcs and flames in the environment.

[0056] The automatic fire extinguishing device is electrically connected to the microprocessor. The automatic fire extinguishing device adopts an electric start method, or a start method in which electric start and thermal line coexist. The electric start method can be achieved by local start by the microprocessor when the start conditions are met, or by remote alarm interlock start or remote manual start through the cloud platform. After the fire extinguishing device is activated, a feedback signal is given to the microprocessor.

[0057] The microprocessor collects and processes information from the above-mentioned multiple sensors, performs fusion analysis, and then determines the fire level, issues graded alarms, and links automatic fire extinguishing devices.

[0058] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An electrical fire warning system based on multi-sensor information fusion, characterized in that: include: A sensor module, a microprocessor, an Internet of Things module, a cloud platform and a user terminal early warning module electrically connected in sequence; The sensor module includes a temperature and humidity sensor, a CO gas sensor, a smoke sensor and an arc sensor, wherein the temperature and humidity sensor, the CO gas sensor, the smoke sensor and the arc sensor are respectively connected to the microprocessor, and the microprocessor is also connected to an automatic fire extinguishing device; The cloud platform includes a primary alarm module, a secondary alarm module, and a tertiary alarm module; the Internet of Things module is respectively connected to the primary alarm module, the secondary alarm module, and the tertiary alarm module through electrical signals.

2. The electrical fire early warning system based on multi-sensor information fusion according to claim 1 is characterized in that: The output ends of the temperature and humidity sensor, CO gas sensor, smoke sensor and arc sensor are respectively connected to the input ends of the microprocessor, the microprocessor is electrically connected to the Internet of Things module, the Internet of Things module is wirelessly connected to the cloud platform via electrical signals, and the cloud platform is wirelessly connected to the user terminal early warning module via electrical signals.

3. The electrical fire early warning system based on multi-sensor information fusion according to claim 1 is characterized in that: The smoke sensor main control chip is an ADPD188BI-ACEZRL chip, and the ADPD188BI-ACEZRL chip integrates two LEDs of different colors and light-emitting diodes corresponding to the two different colors.

4. The electrical fire early warning system based on multi-sensor information fusion according to claim 1 is characterized in that: The Internet of Things module is a module that uses any one of 5G, 4G, LORA and NB-IOT wireless communications.

5. The electrical fire early warning system based on multi-sensor information fusion according to claim 1 is characterized in that: The microprocessor main control chip is a STM32F103VET6 chip, and the microprocessor includes an ARM Cortex-M3 32-bit RISC core.

6. The electrical fire early warning system based on multi-sensor information fusion according to claim 1 is characterized in that: The automatic fire extinguishing device is an S-type aerosol fire extinguisher whose main chemical component of the fire extinguishing agent is strontium nitrate.

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