CN220231385U - Big data detection and management platform for catering lampblack - Google Patents
Big data detection and management platform for catering lampblack Download PDFInfo
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- CN220231385U CN220231385U CN202321462915.5U CN202321462915U CN220231385U CN 220231385 U CN220231385 U CN 220231385U CN 202321462915 U CN202321462915 U CN 202321462915U CN 220231385 U CN220231385 U CN 220231385U
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- oil smoke
- data
- exhaust ventilator
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- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 239000006233 lamp black Substances 0.000 title description 4
- 239000000779 smoke Substances 0.000 claims abstract description 75
- 238000012544 monitoring process Methods 0.000 claims abstract description 24
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Natural products C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 239000004215 Carbon black (E152) Substances 0.000 claims abstract description 12
- 229930195733 hydrocarbon Natural products 0.000 claims abstract description 12
- 239000013618 particulate matter Substances 0.000 claims abstract description 10
- 238000010586 diagram Methods 0.000 claims abstract description 9
- 230000005540 biological transmission Effects 0.000 claims abstract description 8
- 150000002430 hydrocarbons Chemical class 0.000 claims description 10
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 239000002245 particle Substances 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 230000005856 abnormality Effects 0.000 claims 1
- 235000013361 beverage Nutrition 0.000 claims 1
- -1 methane hydrocarbon Chemical class 0.000 abstract description 2
- 239000003921 oil Substances 0.000 description 40
- 239000003517 fume Substances 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000008162 cooking oil Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 235000012054 meals Nutrition 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000012855 volatile organic compound Substances 0.000 description 1
- 239000002912 waste gas Substances 0.000 description 1
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- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The utility model relates to the technical field of oil smoke monitoring, in particular to a catering oil smoke big data detection and management platform which comprises an oil smoke data acquisition unit, a positioning unit, a switch state monitoring unit, a monitoring information feedback unit, a wireless transmission unit, a data information analysis unit, a linear diagram generating unit, a data feedback unit, an alarm notification unit, a centralized display unit and a remote control unit. By utilizing the detection component, the utility model monitors the oil smoke concentration, the particulate matter concentration and the total non-methane hydrocarbon concentration of the oil smoke discharge port in the catering service industry in real time, monitors the on-off states of the exhaust fan and the oil smoke purifying equipment in real time, and reduces the phenomenon that the range hood does not do work and does idle work while realizing the real-time monitoring of the oil smoke.
Description
Technical Field
The utility model relates to the technical field of oil smoke monitoring, in particular to a catering oil smoke big data detection and management platform.
Background
The Chinese meal cooking oil fume is large in quantity and complex in composition, contains a large amount of particles and fume VOCs, not only pollutes indoor air and endangers human health, but also is an important precursor for atmospheric pollution, and along with the accumulation of residents, the oil fume generated by catering becomes a large waste gas pollution source.
Some large catering platforms lack monitoring of oil smoke output of each range hood, or rely on manual one-by-one inspection mode, and lack a real-time effective supervision method.
Therefore, a catering oil smoke big data detection and management platform is provided.
Disclosure of Invention
The utility model aims to provide a catering oil smoke big data detection and management platform so as to solve the problems in the background technology.
In order to achieve the above purpose, the present utility model provides the following technical solutions:
the catering oil smoke big data detection and management platform comprises an oil smoke data acquisition unit, a positioning unit, a switch state monitoring unit, a monitoring information feedback unit, a wireless transmission unit, a data information analysis unit, a linear diagram generation unit, a data feedback unit, an alarm notification unit, a centralized display unit and a remote control unit, wherein the data information analysis unit is used for monitoring the use state of the range hood by combining and comparing the switch state of the range hood with detected oil smoke data.
Preferably, the oil smoke data acquisition unit monitors the oil smoke absorbed by the oil smoke exhaust ventilator in real time through an external detection mechanism, and transmits the detected data to the inside of the positioning unit.
Preferably, the positioning unit classifies the data detected by different smoke exhaust ventilator under the names of the respective smoke exhaust ventilator, the positioned smoke exhaust ventilator data is transmitted to the inside of the monitoring information feedback unit, and meanwhile, the on-off state monitoring unit also uploads the on-off state of the smoke exhaust ventilator to the inside of the positioning unit, so that the state and the detection data of each smoke exhaust ventilator are bound.
Preferably, the wireless transmission unit transmits different smoke exhaust ventilator to the centralized display unit for display, meanwhile, data is transmitted to the data information analysis unit for analysis, the analyzed data is manufactured into a visual linear diagram through the linear diagram generation unit, the linear diagram is uploaded to the inside of the centralized display unit for display, meanwhile, when the data information analysis unit is abnormal, an alarm is carried out through the centralized display unit through the alarm notification unit, and a user can open and close the abnormal smoke exhaust ventilator through the remote control unit.
Preferably, the oil smoke data acquisition unit comprises an oil smoke concentration acquisition module, a particulate matter density acquisition module and a non-methane total hydrocarbon degree acquisition module.
Preferably, the oil smoke concentration acquisition module detects through the sieve sensor, the particulate matter density acquisition module emits infrared light waves through the light sensor, the particulate matter density is calculated through comparing the change of light before and after, and the non-methane total hydrocarbon degree acquisition module detects through the non-methane total hydrocarbon detector.
Compared with the prior art, the utility model has the beneficial effects that:
by utilizing the detection component, the real-time monitoring of the oil smoke concentration, the particulate matter concentration and the total non-methane hydrocarbon concentration of the oil smoke discharge port in the catering service industry and the real-time monitoring of the on-off states of the exhaust fan and the oil smoke purifying equipment are realized, and the phenomenon that the range hood does not do work and does idle work is reduced.
Drawings
FIG. 1 is a block diagram of a big data detection system for oil smoke according to the present utility model;
fig. 2 is a block diagram of a lampblack data acquisition unit according to the present utility model.
In the figure: 1. a lampblack data acquisition unit; 2. a positioning unit; 3. a switch state monitoring unit; 4. monitoring an information feedback unit; 5. a wireless transmission unit; 6. a data information analysis unit; 7. a linear graph generation unit; 8. a data feedback unit; 9. an alarm notification unit; 10. a centralized display unit; 11. a remote control unit; 12. the oil smoke concentration acquisition module; 13. a particulate matter density acquisition module; 14. and a non-methane total hydrocarbon degree acquisition module.
Detailed Description
The following description of the embodiments of the present utility model will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present utility model, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the utility model without making any inventive effort, are intended to be within the scope of the utility model.
In the description of the present utility model, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present utility model and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present utility model.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present utility model, the meaning of "a plurality" is two or more, unless explicitly defined otherwise. Furthermore, the terms "mounted," "connected," "coupled," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present utility model will be understood in specific cases by those of ordinary skill in the art.
Referring to fig. 1 to 2, the utility model provides a catering oil smoke big data detection and management platform, which has the following technical scheme:
the catering oil smoke big data detection and management platform comprises an oil smoke data acquisition unit 1, a positioning unit 2, a switch state monitoring unit 3, a monitoring information feedback unit 4, a wireless transmission unit 5, a data information analysis unit 6, a linear diagram generation unit 7, a data feedback unit 8, an alarm notification unit 9, a centralized display unit 10 and a remote control unit 11, wherein the data information analysis unit 6 monitors the use state of the oil smoke ventilator by combining and comparing the switch state of the oil smoke ventilator with detected oil smoke data.
As an embodiment of the present utility model, referring to fig. 1, the oil smoke data collection unit 1 monitors the oil smoke absorbed by the oil smoke exhaust ventilator through the external detection mechanism in real time, the detected data is transmitted to the inside of the positioning unit 2, the positioning unit 2 classifies the data detected by different oil smoke exhaust ventilator into the names of the respective oil smoke exhaust ventilator, the positioned oil smoke data is transmitted to the inside of the monitoring information feedback unit 4, the on-off state monitoring unit 3 also uploads the on-off state of the oil smoke exhaust ventilator to the inside of the positioning unit 2, the state and the detected data of each oil smoke exhaust ventilator are bound, the wireless transmission unit 5 transmits the different oil smoke exhaust ventilator to the centralized display unit 10 for displaying, and meanwhile, the data is transmitted to the data analysis unit 6 for analyzing, and the analyzed data is made into a visual linear graph through the linear graph generation unit 7, and the linear graph is uploaded to the inside of the centralized display unit 10 for displaying, and simultaneously, when the oil smoke exhaust ventilator is detected but not opened and not detected but is in the on state, the alarm unit 9 can perform remote operation on the oil smoke exhaust ventilator through the centralized display unit 11 and the alarm by using the human operator.
As an embodiment of the present utility model, referring to fig. 2, the oil smoke data acquisition unit 1 includes an oil smoke concentration acquisition module 12, a particulate matter density acquisition module 13 and a non-methane total hydrocarbon degree acquisition module 14, the oil smoke concentration acquisition module 12 detects through a screen sensor, the particulate matter density acquisition module 13 emits infrared light waves through a light sensor, the particulate matter density is calculated by comparing the changes of front and rear light, and the non-methane total hydrocarbon degree acquisition module 14 detects through a non-methane total hydrocarbon detector.
Although embodiments of the present utility model have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the utility model, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. Big data detection of food and beverage oil smoke and management platform, its characterized in that: the device comprises an oil smoke data acquisition unit (1), a positioning unit (2), a switch state monitoring unit (3), a monitoring information feedback unit (4), a wireless transmission unit (5), a data information analysis unit (6), a linear diagram generation unit (7), a data feedback unit (8), an alarm notification unit (9), a centralized display unit (10) and a remote control unit (11);
and the data information analysis unit (6) is used for monitoring the use state of the smoke exhaust ventilator by combining and comparing the on-off state of the smoke exhaust ventilator with the detected smoke exhaust ventilator data.
2. The catering oil smoke big data detection and management platform according to claim 1, wherein: the oil smoke data acquisition unit (1) can monitor the oil smoke absorbed by the range hood in real time through an external detection mechanism, and the detected data is transmitted to the inside of the positioning unit (2).
3. The catering oil smoke big data detection and management platform according to claim 1, wherein: the positioning unit (2) can classify the data detected by different smoke exhaust ventilator into the names of the respective smoke exhaust ventilator respectively, the positioned smoke exhaust ventilator data are transmitted to the inside of the monitoring information feedback unit (4), meanwhile, the on-off state monitoring unit (3) can upload the on-off state of the smoke exhaust ventilator to the inside of the positioning unit (2) together, and the state and the detection data of each smoke exhaust ventilator are bound.
4. The catering oil smoke big data detection and management platform according to claim 1, wherein: the wireless transmission unit (5) transmits different smoke exhaust ventilator to the centralized display unit (10) for display, meanwhile, data are transmitted to the data information analysis unit (6) for analysis, the analyzed data are manufactured into a visual linear graph through the linear graph generation unit (7), the linear graph is uploaded to the inside of the centralized display unit (10) for display, meanwhile, when the data information analysis unit (6) is abnormal in data, the alarm notification unit (9) is used for alarming through the centralized display unit (10), and a user can open and close the smoke exhaust ventilator with abnormality through the remote control unit (11).
5. The catering oil smoke big data detection and management platform according to claim 1, wherein: the oil smoke data acquisition unit (1) comprises an oil smoke concentration acquisition module (12), a particulate matter density acquisition module (13) and a non-methane total hydrocarbon degree acquisition module (14).
6. The dining oil smoke big data detection and management platform according to claim 5, wherein: the oil smoke concentration acquisition module (12) detects through the sieve sensor, the particle density acquisition module (13) emits infrared light waves through the light sensor, the particle density is calculated through comparing the change of light before and after, and the non-methane total hydrocarbon degree acquisition module (14) detects through the non-methane total hydrocarbon detector.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321462915.5U CN220231385U (en) | 2023-06-08 | 2023-06-08 | Big data detection and management platform for catering lampblack |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321462915.5U CN220231385U (en) | 2023-06-08 | 2023-06-08 | Big data detection and management platform for catering lampblack |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220231385U true CN220231385U (en) | 2023-12-22 |
Family
ID=89180709
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202321462915.5U Active CN220231385U (en) | 2023-06-08 | 2023-06-08 | Big data detection and management platform for catering lampblack |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220231385U (en) |
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2023
- 2023-06-08 CN CN202321462915.5U patent/CN220231385U/en active Active
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