CN112904921A - Real-time monitoring supervisory systems based on thing networking - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 31
- 230000006855 networking Effects 0.000 title claims description 5
- 238000011897 real-time detection Methods 0.000 claims abstract description 32
- 238000001514 detection method Methods 0.000 claims description 24
- 239000000779 smoke Substances 0.000 claims description 10
- 230000000007 visual effect Effects 0.000 claims description 4
- 241000699666 Mus <mouse, genus> Species 0.000 description 9
- 238000010586 diagram Methods 0.000 description 9
- 238000000034 method Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 101000713935 Mus musculus Tudor domain-containing protein 7 Proteins 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004659 sterilization and disinfection Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 241000699670 Mus sp. Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000249 desinfective effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
Abstract
The invention relates to a real-time monitoring and supervision system based on the Internet of things, which comprises a recording device, an acquisition device, a server and an intelligent terminal, wherein the recording device, the acquisition device and the intelligent terminal are respectively connected with the server; the input device is used for inputting the working time range, the theoretical threshold range and the working times of the device to be detected; the acquisition device is used for acquiring real-time detection data and operation parameter data of the device to be detected; the server is used for receiving the working time range, the theoretical threshold range and the working times, and is also used for comparing the real-time detection data with the theoretical threshold range and comparing the operation parameter data with the theoretical operation parameters; the invention sends the sensor data to the server database in real time, and the system can judge whether the sensor data meets the standard or not according to the combination of the real-time data and whether the sensor data is in the working time. If the merchant does not reach the standard, the merchant is early-warned and informed of the reason for not reaching the standard through a short message, so that the operation condition of the store internet of things equipment in the jurisdiction range can be mastered.
Description
Technical Field
The invention belongs to the technical field of Internet of things, and particularly relates to a real-time monitoring and supervision system based on the Internet of things.
Background
With the continuous development of social economy, the catering consumption mode is increasingly diversified and modernized. People have higher demands on food safety supervision and quality control in the catering industry, and pay great attention to the safety of stores.
But how to detect and control restaurant stores is an important problem and has important significance. In the related art, some restaurant stores are provided with a plurality of internet of things sensing devices for detection, or are supervised and managed in a mode of patrolling the stores by government personnel. However, these methods are not efficient detection methods, and cannot achieve unified management and control and consume manpower and material resources. Meanwhile, the data acquisition of the sensor and the data analysis and detection capabilities are lacked, so that the monitoring and supervision cannot be realized.
Disclosure of Invention
In view of this, the present invention aims to overcome the defects of the prior art, and provides a real-time monitoring and supervising system based on the internet of things, so as to solve the problem that the catering industry cannot effectively monitor and supervise in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme: a real-time monitoring supervisory system based on thing networking includes: the system comprises a recording device, an acquisition device, a server and an intelligent terminal, wherein the recording device, the acquisition device and the intelligent terminal are respectively connected with the server;
the input device is used for inputting the working time range, the theoretical threshold range and the working times of the device to be detected;
the acquisition device is used for acquiring real-time detection data and operation parameter data of the device to be detected;
the server is used for receiving the working time range, the theoretical threshold range and the working times, and authentication codes of the device to be detected and theoretical operation state parameters corresponding to the authentication codes are preset in the server;
the server is also used for comparing the real-time detection data with a theoretical threshold range, comparing the operation parameter data with a theoretical operation parameter, and sending a comparison result to the intelligent terminal for displaying.
Further, the real-time detection data is acquired by a sensor group, and the sensor group includes:
ultraviolet ray sensor, temperature and humidity sensor, oil smoke concentration sensor, gas sensor, smoke sensor, fender mouse board sensor, air quality sensor, illuminance sensor.
Further, the method also comprises the following steps:
and the alarm device is used for giving an alarm when the detection data exceeds the theoretical threshold range.
Further, the server is also used for drawing a merchant trend graph according to the real-time detection data, and the merchant trend graph is used for displaying the monitoring condition of the merchant.
Further, the server is further configured to determine whether the operation of the sensors in the sensor group is normal according to the received real-time detection data.
Further, judge whether the operation of the sensor in the sensor group is normal according to the received real-time detection data, including judging the operating state of the ultraviolet sensor according to the real-time detection data of the ultraviolet sensor, including:
acquiring all data of the sensors in the sensor group during operation; the data includes: turn-on data, turn-off data, and data between sensor turn-on and turn-off;
determining the highest data in all the data, calculating the time difference between the acquisition of opening data and the closing data by the sensor, and acquiring the opening time of the opening data;
judging whether the starting time is within the working time range;
if so, judging whether the highest data is in the range of the theoretical threshold value, and judging whether the running state is normal according to the judgment result;
otherwise, finishing the judgment.
Further, judge according to the real-time detection data that receive whether the operation of the sensor in the sensor group is normal, include that the real-time detection data according to the fender mouse board sensor judges the running state of fender mouse board sensor, include:
acquiring current time;
judging whether the current time is within the working time range, if not, finishing the judgment;
if yes, acquiring current detection data of the mouse baffle plate sensor and judging whether the current detection data is in a theoretical threshold range, and if not, searching normal detection data closest to the current detection data in time;
calculating the time difference between the normal detection data and the current detection data;
the time difference is the time of the mouse baffle plate sensor for generating abnormity.
Further, an APP is arranged on the intelligent terminal;
the APP is used for receiving alarm information of the server.
Furthermore, the alarm device adopts an audible and visual alarm.
Further, the intelligent terminal adopts one or a combination of the following terminals:
smart phones, computers, smart watches.
By adopting the technical scheme, the invention can achieve the following beneficial effects:
the invention provides a real-time monitoring and supervising system based on the Internet of things, which comprises a recording supporting device, and can set the working time range of the device, the qualified threshold range of the device and the working times. And collecting data through the sensor group, and sending the collected data to the server in real time. The system can judge whether the system is qualified or not according to the combination of real-time data and whether the real-time data is in the working time. And if the merchant does not reach the standard, early warning display is carried out, and the merchant is informed of the reason of not reaching the standard through a short message. Simultaneously, equipment change of the store equipment in each period of time, real-time equipment state, the standard reaching rate of the store equipment and the like are provided for a government end, and the operation condition of the store internet of things equipment in the jurisdiction range can be mastered more intuitively and in real time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a real-time monitoring and supervision system based on the internet of things;
FIG. 2 is a schematic flow chart of the present invention for determining whether the UV sensor is working normally;
fig. 3 is a schematic flow chart of the present invention for determining whether the mouse trap sensor works normally.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
A specific real-time monitoring and supervision system based on the internet of things provided in the embodiments of the present application is described below with reference to the accompanying drawings.
As shown in fig. 1, the real-time monitoring and supervision system based on the internet of things provided in the embodiment of the present application includes an entry device 1, a collection device 2, a server 3 and an intelligent terminal 4, where the entry device 1, the collection device 2 and the intelligent terminal 4 are respectively connected to the server 3;
the input device 1 is used for inputting the working time range, the theoretical threshold range and the working times of the device to be detected;
the acquisition device 2 is used for acquiring real-time detection data and operation parameter data of the device to be detected;
the server 3 is used for receiving the working time range, the theoretical threshold range and the working times, and an authentication code of the device to be detected and a theoretical operation state parameter corresponding to the authentication code are preset in the server;
the server 3 is further configured to compare the real-time detection data with a theoretical threshold range, compare the operation parameter data with a theoretical operation parameter, and send a comparison result to the intelligent terminal 4 for display.
The working principle of the real-time monitoring and supervising system based on the Internet of things is as follows: a user inputs the working time range, the theoretical threshold range and the working times of the device to be detected through the input device 1; the acquisition device 2 acquires real-time detection data and operation parameter data of the device to be detected; the server 3 receives the working time range, the theoretical threshold range and the working times, and authentication codes of the device to be detected and theoretical operation state parameters corresponding to the authentication codes are preset in the server 3; the server 3 is further configured to compare the real-time detection data with a theoretical threshold range, compare the operation parameter data with a theoretical operation parameter, and send a comparison result to the intelligent terminal 4 for display.
The operation parameters comprise the SN number of the equipment, the unit of the equipment, the data of the equipment and the current operation time.
The theoretical threshold range includes data minimum, maximum, settable frequency, and equipment on time. Whether the internet of things equipment normally operates is judged through the threshold value setting and the data transmitted by the sensor in real time, so that the operation data of the merchant internet of things equipment in the region is summarized. When the difference between the operating parameter data and the theoretical operating parameter exceeds a predetermined value, the operating parameter data is considered to be abnormal, i.e., the sensor to which the operating parameter belongs is not normal. At this time, the merchant needs to be informed to process the corresponding sensor in time.
The recording device 1 is a handheld end used by a merchant, and can be a mobile phone, a computer and the like. The input device 1 is used by a merchant, and the merchant needs to automatically bring in equipment information for equipment input by scanning a two-dimensional code of sensor equipment. Meanwhile, the merchant can modify the type of the corresponding internet of things equipment, also can modify the equipment place and the equipment name, and the special sensor equipment can independently set the threshold value of the special sensor equipment.
When the intelligent terminal 4 is used by a government terminal, the intelligent terminal is provided with a display page, the display page comprises a multi-view set, and a visual interface for displaying the running state of the sensor and historical data under different dimensions is provided. Multiple point data dissemination is supported. Agreeing to support the shop self-defined algorithm rule, thereby scientifically analyzing the monitoring data and assisting government personnel to scientifically judge the shop condition.
In some embodiments, the acquisition device 1 includes a sensor group, and the real-time detection data is acquired by the sensor group, and the sensor group includes:
ultraviolet ray sensor, temperature and humidity sensor, oil smoke concentration sensor, gas sensor, smoke sensor, fender mouse board sensor, air quality sensor, illuminance sensor.
It is understood that the sensor group provided in the present application may also include other sensors, and the present application is not limited thereto.
The ultraviolet sensor is used for regularly disinfecting the indoor space, the temperature and humidity sensor is used for detecting the temperature and humidity condition in the refrigerator equipment so as to judge the food condition stored in the temperature and humidity sensor, the oil smoke concentration sensor is used for detecting the oil smoke concentration in the environment, the gas sensor is used for detecting the gas concentration in the environment, the smoke sensor is used for detecting the smoke concentration in the environment, the mouse baffle plate sensor is used for detecting whether mice exist or not, the air quality sensor is used for detecting the air quality of the environment, and the illuminance sensor is used for detecting the illuminance of the environment. And judging whether the equipment is on line or not and whether the equipment normally operates or not according to real-time data transmitted by the sensors in the sensor group. Different sensors have different calculation rules, and the early warning value is judged according to the threshold value setting and the different calculation rules. That is to say, the working time range of different sensors is different, and theoretical threshold value range is different, and this application sets up according to actual need.
The application provides a real-time supervision monitored control system based on thing networking still includes:
and an alarm device (not shown in the figure) for alarming when the detection data exceeds the theoretical threshold range.
Specifically, the server 3 compares the real-time detection data with a theoretical threshold range and the operation parameter data with a theoretical operation parameter, and sends an alarm signal to the alarm device when the real-time monitoring data exceeds the theoretical threshold range and the operation parameter data exceeds the theoretical operation parameter range, and the alarm device gives an alarm when receiving the alarm signal. Preferably, the alarm device can adopt an audible and visual alarm. It should be noted that the alarm device may also adopt other alarm devices, and the application is not limited herein.
In some embodiments, the server 3 is further configured to draw a merchant trend graph according to the real-time detection data, where the merchant trend graph is used to show monitoring conditions of the merchant.
It can be understood that the government terminal can see the operation condition of the internet equipment within 24 hours in the jurisdiction range of the government terminal through a computer. And the number and percentage of normal stores, un-started monitoring and safety alarms can be screened out through the region and time. Similarly, the government can also check alarming stores and trend graphs of over-standard merchants through a computer terminal so as to manage. For example, the 24 hour temperature change of the refrigerator, the indicator of the ultraviolet lamp, and the latest disinfection time, the cumulative disinfection number of the day can be viewed on the page.
In some embodiments, the server 3 is further configured to determine whether the sensors in the sensor group operate normally according to the received real-time detection data.
In the application, whether the sensor is on line or not and whether the sensor normally operates or not are judged through real-time data transmitted by the sensor group. Different sensors have different calculation rules, and the early warning value is judged according to the threshold value setting and the different calculation rules.
Preferably, as shown in fig. 2, the determining whether the operation of the sensors in the sensor group is normal according to the received real-time detection data includes determining the operation state of the ultraviolet sensor according to the real-time detection data of the ultraviolet sensor, including:
acquiring all data of the sensors in the sensor group during operation; the data includes: turn-on data, turn-off data, and data between sensor turn-on and turn-off;
determining the highest data in all the data, calculating the time difference between the acquisition of opening data and the closing data by the sensor, and acquiring the opening time of the opening data;
judging whether the starting time is within the working time range;
if so, judging whether the highest data is in the range of the theoretical threshold value, and judging whether the running state is normal according to the judgment result;
otherwise, finishing the judgment.
Preferably, as shown in fig. 3, judging whether the operation of the sensors in the sensor group is normal according to the received real-time detection data includes judging the operation state of the mouse trap sensor according to the real-time detection data of the mouse trap sensor, including:
acquiring current time;
judging whether the current time is within the working time range, if not, finishing the judgment;
if yes, acquiring current detection data of the mouse baffle plate sensor and judging whether the current detection data is in a theoretical threshold range, and if not, searching normal detection data closest to the current detection data in time;
calculating the time difference between the normal detection data and the current detection data;
the time difference is the time of the mouse baffle plate sensor for generating abnormity.
It can be understood that the intelligent terminal 4 is provided with an APP;
the APP is used for receiving alarm information of the server 3.
Preferably, the intelligent terminal 4 adopts one or a combination of the following terminals:
smart phones, computers, smart watches.
It can be understood that the intelligent terminal 4 is also provided with a module capable of making a call or sending a short message, and the module capable of making a call or sending a short message can inform a merchant in time when the abnormality of the data is detected in real time and process the data in time.
In summary, the invention provides a real-time monitoring and supervision system based on the internet of things, which comprises an input device, and can set the working time range of equipment, the qualified threshold range of the equipment and the working times. And collecting data through the sensor group, and sending the collected data to the server in real time. The system can judge whether the system is qualified or not according to the combination of real-time data and whether the real-time data is in the working time. And if the merchant does not reach the standard, early warning display is carried out, and the merchant is informed of the reason of not reaching the standard through a short message. Simultaneously, equipment change of the store equipment in each period of time, real-time equipment state, the standard reaching rate of the store equipment and the like are provided for a government end, and the operation condition of the store internet of things equipment in the jurisdiction range can be mastered more intuitively and in real time.
It is to be understood that the system embodiments provided above correspond to the method embodiments described above, and corresponding specific contents may be referred to each other, which are not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A real-time monitoring supervisory systems based on thing networking which characterized in that includes: the system comprises a recording device, an acquisition device, a server and an intelligent terminal, wherein the recording device, the acquisition device and the intelligent terminal are respectively connected with the server;
the input device is used for inputting the working time range, the theoretical threshold range and the working times of the device to be detected;
the acquisition device is used for acquiring real-time detection data and operation parameter data of the device to be detected;
the server is used for receiving the working time range, the theoretical threshold range and the working times, and authentication codes of the device to be detected and theoretical operation state parameters corresponding to the authentication codes are preset in the server;
the server is also used for comparing the real-time detection data with a theoretical threshold range, comparing the operation parameter data with a theoretical operation parameter, and sending a comparison result to the intelligent terminal for displaying.
2. The internet of things-based real-time monitoring and supervision system according to claim 1, wherein the acquisition device comprises a sensor group, the real-time detection data is acquired by the sensor group, and the sensor group comprises:
ultraviolet ray sensor, temperature and humidity sensor, oil smoke concentration sensor, gas sensor, smoke sensor, fender mouse board sensor, air quality sensor, illuminance sensor.
3. The internet of things-based real-time monitoring and supervision system according to claim 1, further comprising:
and the alarm device is used for giving an alarm when the detection data exceeds the theoretical threshold range.
4. The real-time monitoring and supervision system based on the internet of things of claim 1,
the server is further used for drawing a merchant trend graph according to the real-time detection data, and the merchant trend graph is used for displaying the monitoring condition of the merchant.
5. The internet of things-based real-time monitoring and supervision system according to claim 2, wherein the server is further configured to determine whether the operation of the sensors in the sensor group is normal according to the received real-time detection data.
6. The system of claim 5, wherein the real-time monitoring and monitoring system based on the internet of things judges whether the operation of the sensors in the sensor group is normal according to the received real-time detection data, and comprises the following steps of judging the operation state of the ultraviolet sensor according to the real-time detection data of the ultraviolet sensor:
acquiring all data of the sensors in the sensor group during operation; the data includes: turn-on data, turn-off data, and data between sensor turn-on and turn-off;
determining the highest data in all the data, calculating the time difference between the acquisition of opening data and the closing data by the sensor, and acquiring the opening time of the opening data;
judging whether the starting time is within the working time range;
if so, judging whether the highest data is in the range of the theoretical threshold value, and judging whether the running state is normal according to the judgment result;
otherwise, finishing the judgment.
7. The system of claim 5, wherein the real-time monitoring and monitoring system based on the internet of things judges whether the operation of the sensors in the sensor group is normal or not according to the received real-time detection data, and comprises the following steps of judging the operation state of the mouse baffle plate sensor according to the real-time detection data of the mouse baffle plate sensor:
acquiring current time;
judging whether the current time is within the working time range, if not, finishing the judgment;
if yes, acquiring current detection data of the mouse baffle plate sensor and judging whether the current detection data is in a theoretical threshold range, and if not, searching normal detection data closest to the current detection data in time;
calculating the time difference between the normal detection data and the current detection data;
the time difference is the time of the mouse baffle plate sensor for generating abnormity.
8. The real-time monitoring and supervision system based on the internet of things according to any one of claims 1 to 7, wherein an APP is arranged on the intelligent terminal;
the APP is used for receiving alarm information of the server.
9. The real-time monitoring and supervision system based on the internet of things as claimed in claim 1, wherein the alarm device is an audible and visual alarm.
10. The real-time monitoring and supervision system based on the internet of things according to claim 8, wherein the intelligent terminal adopts one or a combination of the following terminals:
smart phones, computers, smart watches.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113393164A (en) * | 2021-07-09 | 2021-09-14 | 中车青岛四方机车车辆股份有限公司 | Real-time card control method and system for product quality |
| CN113729143A (en) * | 2021-07-12 | 2021-12-03 | 浙江黑马环保科技有限公司 | Commercial food purifier monitoring method and system based on Internet of things |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1926446A (en) * | 2004-02-28 | 2007-03-07 | 株式会社赛思科 | Rat detection and monitoring system |
| CN109102304A (en) * | 2018-07-02 | 2018-12-28 | 浙江智飨科技有限公司 | Intelligent food and drink safe early warning is traced to the source association control system |
| CN111190067A (en) * | 2020-01-21 | 2020-05-22 | 山东建筑大学 | Catering disinfection equipment use monitoring method, server and system based on Internet of things |
| CN111365741A (en) * | 2020-04-02 | 2020-07-03 | 陕西汇丰厨具工程有限公司 | Oil smoke on-line monitoring system |
| CN111695796A (en) * | 2020-06-02 | 2020-09-22 | 威海精讯畅通电子科技有限公司 | Catering industry management platform based on Internet of things |
| CN112197307A (en) * | 2019-07-08 | 2021-01-08 | 青岛海尔智能技术研发有限公司 | Stove and dry burning prevention control device and method |
-
2021
- 2021-01-15 CN CN202110056263.4A patent/CN112904921A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1926446A (en) * | 2004-02-28 | 2007-03-07 | 株式会社赛思科 | Rat detection and monitoring system |
| CN109102304A (en) * | 2018-07-02 | 2018-12-28 | 浙江智飨科技有限公司 | Intelligent food and drink safe early warning is traced to the source association control system |
| CN112197307A (en) * | 2019-07-08 | 2021-01-08 | 青岛海尔智能技术研发有限公司 | Stove and dry burning prevention control device and method |
| CN111190067A (en) * | 2020-01-21 | 2020-05-22 | 山东建筑大学 | Catering disinfection equipment use monitoring method, server and system based on Internet of things |
| CN111365741A (en) * | 2020-04-02 | 2020-07-03 | 陕西汇丰厨具工程有限公司 | Oil smoke on-line monitoring system |
| CN111695796A (en) * | 2020-06-02 | 2020-09-22 | 威海精讯畅通电子科技有限公司 | Catering industry management platform based on Internet of things |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113393164A (en) * | 2021-07-09 | 2021-09-14 | 中车青岛四方机车车辆股份有限公司 | Real-time card control method and system for product quality |
| CN113729143A (en) * | 2021-07-12 | 2021-12-03 | 浙江黑马环保科技有限公司 | Commercial food purifier monitoring method and system based on Internet of things |
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Application publication date: 20210604 |