CN113188672A - Intelligent detection system and method for building electrical equipment - Google Patents
Intelligent detection system and method for building electrical equipment Download PDFInfo
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- CN113188672A CN113188672A CN202110365220.4A CN202110365220A CN113188672A CN 113188672 A CN113188672 A CN 113188672A CN 202110365220 A CN202110365220 A CN 202110365220A CN 113188672 A CN113188672 A CN 113188672A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/022—Means for indicating or recording specially adapted for thermometers for recording
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K3/00—Thermometers giving results other than momentary value of temperature
- G01K3/02—Thermometers giving results other than momentary value of temperature giving means values; giving integrated values
- G01K3/04—Thermometers giving results other than momentary value of temperature giving means values; giving integrated values in respect of time
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- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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Abstract
The invention discloses an intelligent detection system for building electrical equipment, wherein detection systems are respectively arranged in detection areas, a control center is arranged in each detection system, an equipment temperature sensor is arranged on each electrical equipment in the detection area, an environment temperature sensor is arranged nearby and used for detecting environment temperature, the equipment temperature sensor and the environment sensor transmit obtained temperature data to the control center through wireless equipment, the control center classifies and calculates the collected data and then uses the classified data as a detection basis, and the difference value between the equipment temperature and the reference temperature of the equipment or the difference value between the equipment temperature and the environment temperature nearby the equipment is used as a detection basis under different conditions according to the comparison between the environment temperature and the reference environment temperature. The invention is simple and quick, is easy to realize, adopts a method of reference detection of the ambient temperature and the equipment temperature, avoids detection failure caused by faults of partial sensors, and improves the reliability of detection.
Description
Technical Field
The invention relates to the field of building electrical equipment safety, in particular to a building electrical equipment intelligent detection system and method.
Background
Along with the continuous promotion of the urbanization process of China, various types of urban buildings are continuously built, great convenience is brought to people's lives, the number of large-scale or ultra-large-scale commercial buildings is increased day by day at present, the flat floor area of the buildings is large, the internal space of the buildings is basically closed, due to the design relationship of the buildings, the internal fire-proof partitions are difficult to divide regularly, and meanwhile, the buildings often have multiple intelligence such as office areas, commercial shopping centers and catering, the state of the industry is complex, the number of people is large, the types, the number and the load of electric equipment in the buildings are large, great hidden dangers are brought to fire-fighting work, and meanwhile, after the electric equipment is used for a long time, factors such as aging of devices, poor connection and the like can cause the faults of the electric equipment, and therefore, fires are easily caused. At present, most of electrical equipment generates abnormal heat when having such faults, so that the regular detection of the electrical equipment is particularly important, the manual inspection mode is generally adopted for the detection of the electrical equipment in a large building at present, the workload is large, the safety is insufficient, and in the inspection method disclosed by CN106846304B, the manual handheld infrared detection device is adopted for inspection, so that the working intensity is high, and the analysis difficulty is high. CN 212379443 discloses a detection device for electrical automation equipment, which is a machine with universal wheels for inspection, and is very inconvenient for large buildings to enter and exit various fire doors or stairs. CN105306489B discloses a method for detecting the safety of electrical equipment, which requires all the detected equipment to have a designated communication interface, and is impractical for the current electrical equipment to implement. Therefore, it is important to develop a convenient, reliable, intelligent, fast and continuous electrical equipment detection system and method.
Disclosure of Invention
In order to solve the technical problem, the invention provides an intelligent detection system for building electrical equipment.
The complete technical scheme of the invention comprises the following steps:
an intelligent detection system for building electrical equipment is characterized by that firstly, according to the area and zone characteristics of building the detection system is divided into several detection zones, in every detection zone a detection system is set, in every detection system a control center is set,
in each detection area, installing an equipment temperature sensor on each detected electrical equipment for detecting the equipment temperature; an ambient temperature sensor is installed at the position of about 1m near each electrical equipment for detecting ambient temperature, the equipment temperature sensor and the ambient temperature sensor of each electrical equipment are in one group, each group of equipment temperature sensor and ambient sensor transmit the obtained temperature data to the control center through wireless equipment, and the control center classifies the collected data and calculates the data to be used as a detection basis, specifically:
set the device temperature to TMSequentially marking the real-time device temperature, T, obtained by each device temperature sensorMiRepresenting the real-time device temperature measured by the ith device;
setting ambient temperature to TSSequentially marking the real-time ambient temperature, T, obtained by each ambient temperature sensorSiRepresenting the real-time ambient temperature measured by an ambient temperature sensor in the vicinity of the ith device.
The detection system is simultaneously stored with a reference environment temperature TS0And a reference device temperature T for each deviceMi0。
Comparing the ambient temperature near each device with a reference ambient temperature, the specific method is as follows:
(1) when the first threshold value is less than or equal to TSi- TS0When the temperature is less than or equal to the second threshold value, the difference value between the equipment temperature and the reference temperature of the equipment is adopted for detection, namely when T is less than or equal to the second threshold valueMi- TMi0< third threshold, considered normal, when TMi- TMi0If the threshold value is greater than the third threshold value, an alarm is sent out;
(2) when T isSi- TS0Second > 2When the threshold value is adopted, the difference value between the equipment temperature and the equipment reference temperature is also adopted for detection, namely when T isMi- TMi0< third threshold, considered normal, when TMi- TMi0If the threshold value is greater than the third threshold value, an alarm is sent out;
(3) when T isSi- TS0If the temperature of the device is less than a first threshold value, the temperature of the device and the ambient temperature in the vicinity of the device are used for detection, i.e. when T isMi- TSi< fourth threshold, considered normal, when TMi- TSiAnd if the threshold value is greater than the fourth threshold value, an alarm is given out.
(4) When the ambient temperature in the vicinity of a certain device is equal to or higher than the device temperature, i.e. TSi- TMiAnd when the temperature is more than or equal to 0, the system prompts the equipment temperature sensor of the equipment or the ambient temperature sensor nearby the equipment to have faults, and prompts the staff to carry out work such as inspection, replacement and the like.
Preferably, the plurality of detection areas are divided according to areas controlled by substations in the building.
Preferably, the reference device temperature TMi0The temperature of the real-time device measured in the last 10 days of the ith device was arithmetically averaged.
Preferably, the reference ambient temperature TS0The arithmetic mean value is obtained by the ambient temperature measured by all the ambient temperature sensors in the previous day in the area.
Compared with the prior art, the invention has the advantages that:
1. compared with the mode of manual or machine mobile inspection in the prior art, the invention adopts the sensor mode to carry out real-time monitoring, is simple and quick, can be realized by adopting the current universal communication protocol, does not need to be customized and developed, and is easy to realize.
2. By adopting the reference detection method of the ambient temperature and the equipment temperature, the detection failure caused by the faults of partial sensors is avoided, and the detection reliability is improved.
Detailed Description
The technical solutions of the present application will be clearly and completely described below with reference to the embodiments of the present application, and it is obvious that the described embodiments are only illustrative and are not intended to limit the present application.
The intelligent detection system for the building electrical equipment is divided into a plurality of detection areas according to the area and the area characteristics of the building, and the detection areas are marked as S1，S2……SNPreferably, a large building is provided with a plurality of substations to control power supply of different areas, detection areas can be divided according to areas controlled by the substations in the building, a detection system is respectively arranged in each detection area, and a control center is arranged in each detection system.
Installing an equipment temperature sensor in each detection area for detecting the equipment temperature on each detected electrical equipment; an environment temperature sensor is arranged at the position about 1m near each electrical device and used for detecting the environment temperature, the device temperature sensor and the environment temperature sensor of each electrical device form a group, and each group of the device temperature sensor and the environment sensor transmit the obtained temperature data to the control center through wireless devices such as a Bluetooth gateway. The control center classifies and calculates the collected data, and the method specifically comprises the following steps:
set the device temperature to TMThe temperature of the equipment obtained by each equipment temperature sensor is marked as T in sequenceM1、TM2、……TMn. n is the total number of electrical devices in the area, denoted TMiRepresenting the real-time device temperature measured by the ith device.
Setting ambient temperature to TSThe ambient temperature obtained by each ambient temperature sensor is marked as T in turnS1、TS2、……TSn. n is the total number of electrical devices in the area, denoted TSiRepresenting the real-time ambient temperature measured by an ambient temperature sensor in the vicinity of the ith device.
The detection system is simultaneously stored with a reference environment temperature TS0And a reference device temperature T for each deviceM10、TM20、……TMn0. n is the total number of electrical devices in the area, denoted TMi0Representing the reference device temperature of the ith device.
Comparing the ambient temperature near each device with a reference ambient temperature, and adopting different detection bases under different conditions, specifically:
(1) when the difference is in a reasonable range, i.e. the first threshold is less than or equal to TSi- TS0When the temperature is less than or equal to the second threshold value, the difference value between the equipment temperature and the reference temperature of the equipment is adopted for detection, namely when T is less than or equal to the second threshold valueMi- TMi0< third threshold, considered normal, when TMi- TMi0And if the threshold value is greater than the third threshold value, an alarm is given.
(2) When the ambient temperature is abnormally high, i.e. TSi- TS0If the temperature is greater than the second threshold value, the difference between the equipment temperature and the equipment reference temperature is also adopted for detection, namely when T is greater than the second threshold valueMi- TMi0< third threshold, considered normal, when TMi- TMi0And if the threshold value is greater than the third threshold value, an alarm is given.
(3) When the ambient temperature is abnormally low, i.e. TSi- TS0If the temperature of the device is less than a first threshold value, the temperature of the device and the ambient temperature in the vicinity of the device are used for detection, i.e. when T isMi- TSi< fourth threshold, considered normal, when TMi- TSiAnd if the threshold value is greater than the fourth threshold value, an alarm is given out. Under the condition, the situation that in some seasons, such as in winter, when doors and windows are not closed tightly, the ambient temperature in partial areas is too low, meanwhile, the temperature of the electrical equipment is reduced, even if the electrical equipment is overheated, due to the fact that the ambient temperature is low, partial heat is taken away, and the temperature sensor of the equipment does not give an alarm is taken away, and therefore the difference value between the temperature of the equipment and the temperature of the ambient temperature is used as a detection basis, and the situation is avoided.
(4) When the ambient temperature in the vicinity of a certain device is equal to or higher than the device temperature, i.e. TSi- TMiAnd when the temperature is more than or equal to 0, the system prompts the equipment temperature sensor of the equipment or the ambient temperature sensor nearby the equipment to have faults, and prompts the staff to carry out work such as inspection, replacement and the like. In general, if the electrical equipment is working, heat is inevitably generated, and the equipment temperature is higher than the ambient temperature, so that if the ambient temperature is higher than or equal to the equipment temperature, it can be determined that the sensor has failed, and at this time, the failure should be performedThe line checks and replaces the sensor.
In the detection method, each threshold value can be set by each unit according to the safe working requirement, or the threshold value recommended by the system can be adopted, and the temperature T of the equipment is referredMi0The temperature of the real-time device measured in the last 10 days of the ith device was arithmetically averaged. Reference ambient temperature TS0The arithmetic mean value is obtained by the ambient temperature measured by all the ambient temperature sensors in the previous day in the area. Reference device temperature TMi0And a reference ambient temperature TS0Are all updated daily.
In addition, each control center periodically transmits the measured data and the equipment fault condition to a database of the cloud server, and the database analyzes the temperature values and the equipment fault conditions in each area to give recommended threshold values. For example, the first threshold value is-5 deg.C, the second threshold value is 5 deg.C, the third threshold value is 12.5 deg.C, and the fourth threshold value is 7.5 deg.C. The analysis process can be carried out manually or can be obtained in a machine learning mode such as a neural network through big data.
The above applications are only some embodiments of the present application. It will be apparent to those skilled in the art that various changes and modifications can be made without departing from the inventive concept herein, and it is intended to cover all such modifications and variations as fall within the scope of the invention.
Claims (7)
1. An intelligent detection system method for building electrical equipment is characterized by comprising the steps of dividing a building into a plurality of detection areas according to the area and the area characteristics of the building, and arranging a detection system and a control center in each area; in each detection area, an equipment temperature sensor and an environment temperature sensor are arranged, the equipment temperature sensor and the environment sensor transmit obtained temperature data to a control center, the control center classifies the environment temperature and a reference environment temperature and detects the environment temperature and the reference environment temperature after calculation and comparison, and according to the comparison between the environment temperature and the reference environment temperature, the difference value between the equipment temperature and the reference temperature of the equipment or the difference value between the equipment temperature and the environment temperature near the equipment is used as a basis for detection under different conditions.
2. The intelligent detection system for the building electrical equipment as claimed in claim 1, wherein the plurality of detection areas are preferably divided according to areas controlled by substations in the building.
3. The intelligent detection system for the building electrical equipment as claimed in claim 2, wherein: in each detection area, an equipment temperature sensor is mounted for each electrical equipment to be detected.
4. The intelligent detection system for the building electrical equipment as claimed in claim 3, wherein: an ambient temperature sensor is disposed about each device temperature sensor.
5. The intelligent detection system for the building electrical equipment as claimed in claim 4, wherein: the distance between the equipment temperature sensor and the environment temperature sensor is about 1 m.
6. The intelligent detection system for the building electrical equipment as claimed in claim 5, wherein: the device temperature sensor and the environmental sensor transmit the obtained temperature data to the control center through the wireless device.
7. The intelligent detection system for the building electrical equipment as claimed in claim 6, wherein: the wireless device may be a bluetooth gateway.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110365220.4A CN113188672A (en) | 2021-04-06 | 2021-04-06 | Intelligent detection system and method for building electrical equipment |
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| CN202110365220.4A CN113188672A (en) | 2021-04-06 | 2021-04-06 | Intelligent detection system and method for building electrical equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114283552A (en) * | 2021-12-27 | 2022-04-05 | 河南驰诚电气股份有限公司 | Combustible gas alarm system and method for driving wireless electromagnetic valve |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020064209A (en) * | 2001-02-01 | 2002-08-07 | 캐논 가부시끼가이샤 | Abnormality detection method and protection apparatus |
| CN102607643A (en) * | 2012-01-18 | 2012-07-25 | 西安交通大学 | Overheat fault diagnosis and early warning system and method for electrical equipment of traction substation of electrified railway |
| CN104135074A (en) * | 2014-07-31 | 2014-11-05 | 上海交通大学 | Extra-high-voltage substation equipment temperature monitoring and alarming method based on outlier detection |
| CN104165701A (en) * | 2014-08-27 | 2014-11-26 | 福建星网锐捷网络有限公司 | Method and device for detecting abnormal heat dissipation of electronic device |
| CN105547511A (en) * | 2016-01-18 | 2016-05-04 | 中国计量学院 | Vaporizing furnace wall fault monitoring and positioning device and method based on fault grid inspection tour |
| CN106768487A (en) * | 2017-01-16 | 2017-05-31 | 中国科学院半导体研究所 | The construction method and system of the temperature environment of temperature sensor chip detection calibration |
| CN106871965A (en) * | 2017-03-16 | 2017-06-20 | 清华大学 | A kind of multicomponent atmospheric environment gridding monitor |
| CN206627148U (en) * | 2017-03-16 | 2017-11-10 | 清华大学 | A kind of multicomponent atmospheric environment gridding monitor |
| CN107564231A (en) * | 2017-09-15 | 2018-01-09 | 山东建筑大学 | Building fire early warning and fire disaster situation assessment system and method based on Internet of Things |
| CN107564232A (en) * | 2017-09-15 | 2018-01-09 | 山东建筑大学 | A kind of electric fire disaster warning System and method for based on Internet of Things |
| CN208225247U (en) * | 2018-05-30 | 2018-12-11 | 广州市普利达消防工程有限公司 | Building electrical fire hidden danger detection system |
| CN109506809A (en) * | 2018-11-19 | 2019-03-22 | 北京英视睿达科技有限公司 | The method and device of atmosphere pollution hot spot grid is determined based on surface temperature |
| CN111912537A (en) * | 2020-07-31 | 2020-11-10 | 中国科学院地理科学与资源研究所 | High-temperature real-time early warning issuing and displaying method, system and equipment based on grid |
-
2021
- 2021-04-06 CN CN202110365220.4A patent/CN113188672A/en not_active Withdrawn
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020064209A (en) * | 2001-02-01 | 2002-08-07 | 캐논 가부시끼가이샤 | Abnormality detection method and protection apparatus |
| CN102607643A (en) * | 2012-01-18 | 2012-07-25 | 西安交通大学 | Overheat fault diagnosis and early warning system and method for electrical equipment of traction substation of electrified railway |
| CN104135074A (en) * | 2014-07-31 | 2014-11-05 | 上海交通大学 | Extra-high-voltage substation equipment temperature monitoring and alarming method based on outlier detection |
| CN104165701A (en) * | 2014-08-27 | 2014-11-26 | 福建星网锐捷网络有限公司 | Method and device for detecting abnormal heat dissipation of electronic device |
| CN105547511A (en) * | 2016-01-18 | 2016-05-04 | 中国计量学院 | Vaporizing furnace wall fault monitoring and positioning device and method based on fault grid inspection tour |
| CN106768487A (en) * | 2017-01-16 | 2017-05-31 | 中国科学院半导体研究所 | The construction method and system of the temperature environment of temperature sensor chip detection calibration |
| CN106871965A (en) * | 2017-03-16 | 2017-06-20 | 清华大学 | A kind of multicomponent atmospheric environment gridding monitor |
| CN206627148U (en) * | 2017-03-16 | 2017-11-10 | 清华大学 | A kind of multicomponent atmospheric environment gridding monitor |
| CN107564231A (en) * | 2017-09-15 | 2018-01-09 | 山东建筑大学 | Building fire early warning and fire disaster situation assessment system and method based on Internet of Things |
| CN107564232A (en) * | 2017-09-15 | 2018-01-09 | 山东建筑大学 | A kind of electric fire disaster warning System and method for based on Internet of Things |
| CN208225247U (en) * | 2018-05-30 | 2018-12-11 | 广州市普利达消防工程有限公司 | Building electrical fire hidden danger detection system |
| CN109506809A (en) * | 2018-11-19 | 2019-03-22 | 北京英视睿达科技有限公司 | The method and device of atmosphere pollution hot spot grid is determined based on surface temperature |
| CN111912537A (en) * | 2020-07-31 | 2020-11-10 | 中国科学院地理科学与资源研究所 | High-temperature real-time early warning issuing and displaying method, system and equipment based on grid |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114283552A (en) * | 2021-12-27 | 2022-04-05 | 河南驰诚电气股份有限公司 | Combustible gas alarm system and method for driving wireless electromagnetic valve |
| CN114283552B (en) * | 2021-12-27 | 2022-11-15 | 河南驰诚电气股份有限公司 | Combustible gas alarm system and method for driving wireless electromagnetic valve |
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