WO2021147509A1

WO2021147509A1 - Internet-of-things-based method for monitoring use of catering disinfection device, and server and system

Info

Publication number: WO2021147509A1
Application number: PCT/CN2020/132227
Authority: WO
Inventors: 阎俏; 张桂青; 田崇翼; 彭伟
Original assignee: 山东建筑大学
Priority date: 2020-01-21
Filing date: 2020-11-27
Publication date: 2021-07-29
Also published as: CN111190067A; CN111190067B

Abstract

An Internet-of-Things-based method for monitoring the use of a catering disinfection device, and a server and a system. The method comprises: collecting operating state data of a device to be identified, and extracting features, i.e. a periodic current value, an Nth harmonic wave, a current effective value and a power value, from the collected operating state data; determining, according to the current effective value of the device to be identified, whether the device to be identified is in a working state, and if so, entering the next step, and if not, continuing to collect the operating state data of the device to be identified; determining, according to the periodic current value, the power value and the current effective value of the device to be identified, whether the device to be identified is in a stable working state, and if so, entering the next step, and if not, continuing to collect the operating state data of the device to be identified; and according to an alternative working mode of a disinfection device and the Nth harmonic wave, identifying whether the device to be identified is the disinfection device, and identifying an actual working mode of the disinfection device.

Description

Method, server and system for monitoring use of catering disinfection equipment based on internet of things

Technical field

The present disclosure relates to the technical field of disinfection equipment identification, and in particular to a method, server and system for monitoring the use of catering disinfection equipment based on the Internet of Things.

Background technique

The statements in this section merely mention background technologies related to the present disclosure, and do not necessarily constitute prior art.

With the improvement of people's living standards and the acceleration of urban work, more and more people choose to eat out, and food hygiene and safety have increasingly become the focus of attention. Relevant national health standards stipulate that food (drinking) utensils that come into contact with directly imported food must be washed and disinfected before use. However, some small and medium-sized restaurants, fast food restaurants, snack bars, etc., even though they are equipped with tableware disinfection equipment, they do not start using them in order to save costs and fail to achieve the purpose of disinfection, which greatly brings people's health and the spread of diseases. Safety hazards.

National health departments at all levels often carry out special operations to inspect and rectify the sanitation status of the catering industry, which is time-consuming and laborious. However, due to the wide variety of small catering outlets and flexible operation, the remediation actions cannot be monitored 24 hours a day, so after the operation ends Often sanitation returns to its former messy state, with little effect.

In the process of implementing the present disclosure, the inventor found the following technical problems in the prior art:

In recent years, local regulatory authorities have explored the establishment of an information-based catering industry regulatory system to solve the above problems, such as installing cameras in various stores to collect video information, or collecting information on the qualifications of practitioners, and uploading it to the regulatory platform for unified monitoring and achieving high efficiency manage. However, it has not been reported to establish supervision rules from the operating status of the equipment itself, and it is actually an effective method to supervise the behavior of merchants from the operating status of the equipment.

Summary of the invention

In order to solve the deficiencies of the prior art, the present disclosure provides a method, server and system for monitoring the use of catering disinfection equipment based on the Internet of Things;

In the first aspect, the present disclosure provides a method for monitoring the use of catering disinfection equipment based on the Internet of Things;

The monitoring methods for the use of catering disinfection equipment based on the Internet of Things include:

Collect the operating state data of the equipment to be identified, and extract the periodic current value, N-th harmonic, current effective value and power value characteristics from the collected operating state data;

According to the effective value of the current of the device to be identified, determine whether the device to be identified is in the working state, if so, go to the next step, if not, continue to collect the running state data of the device to be identified;

According to the periodic current value, power value, and current effective value of the device to be identified, judge whether the device to be identified is in a stable working state, if so, go to the next step; if not, continue to collect the running state data of the device to be identified;

According to the alternative working mode of the disinfection equipment and the Nth harmonic, the equipment to be identified is identified as a disinfection equipment, and the actual working mode of the disinfection equipment is identified.

In the second aspect, the present disclosure also provides a monitoring server for the use of catering disinfection equipment based on the Internet of Things;

The monitoring server for the use of catering disinfection equipment based on the Internet of Things includes:

The feature extraction module is configured to: collect operating state data of the equipment to be identified, and extract characteristics of periodic current value, N-th harmonic, current effective value, and power value from the collected operating state data;

The working state opening judgment module is configured to judge whether the device to be identified is in working state according to the effective value of the current of the device to be identified, if it is, then go to the next step, if not, continue to perform data on the operating state of the device to be identified collection;

The working state stability judgment module is configured to judge whether the device to be identified is in a stable working state according to the periodic current value, power value and effective value of the current of the device to be identified, if it is, then go to the next step; if not, Then continue to collect the operating status data of the equipment to be identified;

The disinfection equipment and its working mode recognition module are configured to identify whether the equipment to be identified is a disinfection equipment and identify the actual working mode of the disinfection equipment according to the alternative working mode and the Nth harmonic of the disinfection equipment.

In a third aspect, the present disclosure also provides an electronic device, including a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are executed by the processor, the computer instructions described in the first aspect are completed. Method steps.

In a fourth aspect, the present disclosure also provides a computer-readable storage medium for storing computer instructions that, when executed by a processor, complete the steps of the method described in the first aspect.

In a fifth aspect, the present disclosure also provides a monitoring system for the use of catering disinfection equipment based on the Internet of Things;

A monitoring system for the use of catering disinfection equipment based on the Internet of Things, including: client, cloud server, router, smart socket and equipment to be identified;

The power cord of the disinfection equipment is plugged into a smart socket, the smart socket is connected to a power source, and the smart socket collects operating state data of the equipment to be identified, and uploads the collected operating state data to a cloud server through a router;

The cloud server receives the collected operating state data, and the cloud server extracts periodic current value, N-th harmonic, current effective value, and power value characteristics from the collected operating state data; judges based on the effective current value of the device to be identified Whether the device to be identified is in a working state, if it is in a working state, judge whether the device to be identified is in a stable working state according to the periodic current value, power value and current effective value of the device to be identified, if it is in a stable working state, According to the alternative working mode and N-th harmonic of the disinfection equipment, identify whether the equipment to be identified is a disinfection equipment, and identify the actual working mode of the disinfection equipment, and then process the identification results and work of the equipment to be identified. The mode is fed back to the client.

Compared with the prior art, the beneficial effects of the present disclosure are:

The present disclosure realizes the identification of disinfection equipment and the identification of the working mode of the disinfection equipment by collecting the periodic current value, N-th harmonic, current effective value and power value characteristics of the equipment to be identified, and the periodic current value, N-th harmonic, and current are valid. The value and power value characteristics are the personalized characteristics of the disinfection equipment itself, which are different from other electrical equipment, and can realize the precise identification of the disinfection equipment and the precise identification of the working mode of the disinfection equipment.

The present disclosure performs precise device identification and disinfection device working mode identification only through the equipment to be identified in the working state and in the stable working state, which can save the working pressure of the server and avoid the large workload of identifying all the noise data .

The smart socket used in the system has the characteristics of small size, convenient plugging and unplugging, and no need to change the power supply line. Now every restaurant basically has WIFI wireless router, and the system adopts WIFI wireless communication mode without rewiring. The equipment identification algorithm can effectively obtain the operation information of the disinfection equipment, and provide real and effective technical support for the health supervision department to grasp the operating status of the restaurant.

Description of the drawings

The drawings of the specification forming a part of the application are used to provide a further understanding of the application, and the exemplary embodiments and descriptions of the application are used to explain the application, and do not constitute an improper limitation of the application.

Figure 1 is a flow chart of the method of the first embodiment;

Fig. 2 is a _{schematic diagram of h x} scattered point distribution of the first embodiment;

Figure 3 is a schematic diagram of the identification process of the first embodiment;

Fig. 4 is a system structure diagram of the fifth embodiment.

Detailed ways

It should be pointed out that the following detailed descriptions are all exemplary and are intended to provide further descriptions of the application. Unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs.

It should be noted that the terms used here are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprising" and/or "including" are used in this specification, they indicate There are features, steps, operations, devices, components, and/or combinations thereof.

Different electrical equipment is composed of different electrical components, so different electrical equipment has its own parameter characteristics, such as impedance characteristics, power characteristics, power factor, periodic current, 32nd harmonics, starting current characteristics, etc., during use Performance data such as current, phase, harmonics, and voltage fluctuations have different characteristics from other equipment, and the same is true for disinfection equipment. Through certain technical means, the feature is extracted and analyzed, and the equipment type, whether the equipment is working normally or not, and the specific working mode of the equipment can be judged. This process is called equipment (load) identification.

The research of device recognition faces many practical problems such as difficulty in obtaining real-time data. However, with the development of the Internet of Things technology, it is possible to realize device perception and interconnection of everything. Intelligent terminals such as sensors and collectors in the Internet of Things collect various electrical parameter information of electrical equipment and transmit the data to the monitoring platform in real time via the Internet, providing data support for equipment identification.

Embodiment 1. This embodiment provides a method for monitoring the use of catering disinfection equipment based on the Internet of Things;

As shown in Figure 1, the monitoring method for the use of catering disinfection equipment based on the Internet of Things includes:

S1: Collect operating status data of the equipment to be identified, and extract periodic current value, N-th harmonic, current effective value and power value characteristics from the collected operating status data;

S2: According to the effective value of the current of the device to be identified, judge whether the device to be identified is in the working state, if yes, go to the next step, if not, continue to collect the running state data of the device to be identified;

S3: According to the periodic current value, power value and current effective value of the device to be identified, judge whether the device to be identified is in a stable working state, if it is, then go to the next step; if not, continue to perform data on the operating state of the device to be identified collection;

S4: According to the alternative working mode and Nth harmonic of the disinfection equipment, identify whether the equipment to be identified is a disinfection equipment, and identify the actual working mode of the disinfection equipment.

The method for monitoring the use of catering disinfection equipment based on the Internet of Things further includes:

S5: Detect the actual working time of each disinfection equipment per unit time. If the actual working time reaches the set threshold, no alarm will be issued. If the actual working time does not reach the set threshold, an alarm will be issued.

The factors considered in the above steps are: the system determines the running time of the disinfection equipment by detecting the effective value of the disinfection equipment current. According to "GB 17988-2008 Safety and Hygiene Requirements for Disinfecting Cabinets for Tableware": the electric heating type disinfection time is greater than or equal to 15 minutes, and the ozone type disinfection time is greater than or equal to 30 minutes.

Further, the collected operating state data of the device to be identified includes: voltage value and current value.

Further, in said S2, according to the effective value of the current of the device to be identified, it is judged whether the device to be identified is in the working state; the specific steps include:

S21: Calculate the difference between the effective value of the current of the device to be identified and the preset standard effective value of the starting current;

S22: Determine whether the difference of S21 is always greater than or equal to zero within the set time range. If it is, it means that the device to be identified is in a working state; if not, it means that the device to be identified is in a non-working state.

It should be understood that in the S2, according to the effective value of the current of the device to be identified, it is determined whether the device to be identified is in a working state; the specific steps include:

The effective current value of the device to be identified is Current _x ; the preset standard effective value of starting current is Current _standard , and its default value is the minimum value of the standard starting current of all known disinfection equipment; the variable D _{current is} introduced.

D _current =Current _x -Current _standard (Formula 1)

When the target device is identified, the current effective value data Current _x _{of the database is continuously sampled, and D current is} calculated according to formula 1, and this is used as the criterion. If

_{D current} ≥0 in a continuous cycle, always holds (condition 1)

It means that the equipment to be identified has been put into operation, and proceed to the next step; if the above conditions are not met, continue sampling and repeat the calculation process.

Further, in the S3, according to the periodic current value, power value, and effective current value of the device to be identified, it is determined whether the device to be identified is in a stable working state; the specific steps include:

According to the periodic current value of the device to be identified, the maximum value of the periodic current and the minimum value of the periodic current are obtained;

Calculate the power change rate according to the power value of the device to be identified at the current moment and the power value at the previous moment;

If the power variation rate is within the set range, the maximum periodic current is greater than zero, the minimum periodic current is less than zero, and the effective current value is greater than the set threshold, it means that the device to be identified is in a stable working state; otherwise, it means the device to be identified In an unstable working condition.

It should be understood that in the S3, according to the periodic current value, power value, and effective current value of the device to be identified, it is determined whether the device to be identified is in a stable working state; the specific steps include:

The periodic current value of the device to be identified is Pcurrent _x , the power value is Power _x and the current effective value data is Current _x ; the variables Pcurrent _max , Pcurrent _min , and P _{power are introduced} ; among them,

Maximum value of periodic current Pcurrent _max =max{Pcurrent _x }, (Equation 2)

The minimum value of the periodic current Pcurrent _min =min{Pcurrent _x }, (Equation 3)

Power rate of change

When the target device is identified, the periodic current value data Pcurrent _x and the current effective value Current _x power value Power _x in the real-time database are continuously sampled and calculated according to formula 2, formula 3, and formula 4.

if

(Condition 2)

If it is met, it is considered that the target device has entered a stable state, and the next step is started; if the above conditions are not met, continue sampling and repeat the calculation process.

Further, as shown in FIG. 3, in the S4, according to the alternative working mode of the disinfection equipment and the Nth harmonic, the identification of whether the equipment to be identified is a disinfection equipment is identified, and the actual working mode of the disinfection equipment is identified; The steps include:

S400: According to the harmonic order N, divide the N-th harmonic into N numerical values h _x , where the value range of x is 1 to N; N is a positive integer; y is the working mode number, and the value range of y Is 1 to p; p is a positive integer; let y=1;

S401: Let x=1;

S402: Take h _x and y; judge whether h _xstandardy.l <h _x <h _xstandardy.h is established, if yes, record B _{x, y} = 0.33, and go to S403; if not, then record B _{x, y} =- 0.67, enter S403;

Among them, h _xstandardy.l represents the lowest lower limit of the Nth harmonic in all working modes;

h _xstandardy.h represents the highest upper limit of the Nth harmonic in all working modes; B _{x, y} represents the sub-recognition results of the equipment to be identified;

S403: Let x=x+1; judge whether x is less than or equal to N, if yes, go to S402; if not, go to S404;

S404: Output ∑B _y ; where ∑B _y = B _{1, y} + B _{2, y} +...+B _{N, y} ; _{∑ B y} represents the comprehensive recognition result of the device to be identified;

S405: Let y=y+1; judge whether y is less than or equal to p, if yes, go to S401; if not, go to S406;

S406: If the comprehensive identification result ∑B _{y of the} device to be identified is greater than zero, it means that the device to be identified is a disinfection device, and the working mode of the disinfection device is mode y; otherwise, it means that the device to be identified is a non-sterile device;

If the comprehensive recognition result ΣB _{y of} multiple devices to be recognized is greater than zero, the mode with the largest _{ΣB y is considered to be the working mode.}

It should be understood that, in the S4, according to the alternative working mode of the disinfection equipment and the Nth harmonic, the identification of the equipment to be identified is the disinfection equipment, and the actual working mode of the disinfection equipment is identified; the specific steps include:

Randomly select M types of 85L～135L disinfection cabinets commonly available on the market for training. M is a positive integer, and the 32nd harmonic characteristic values are extracted respectively, and divided into 32 numerical values h _x (x=1,2, …, 32). Among them, 105% of the maximum value of the x-order wave in the y working mode of the M disinfection cabinet is recorded as h _xstandardy.h , and 95% of the minimum value is recorded as h _xstandardy.l (set with a recognition threshold of 5%), and the X-order harmonic The wave representation correspondence table is shown in Table 1.

Table 1 Harmonic indication correspondence table

谐波含义Harmonic meaning	基波Fundamental wave	2次谐波2nd harmonic	3次谐波3rd harmonic	……	32次谐波32th harmonic
表示符号Representation symbol	h ₁ h ₁	h ₂ h ₂	h ₃ h ₃	……	h ₃₂ h ₃₂

The corresponding table of y kinds of working modes is shown in Table 2.

Table 2 Correspondence table of working mode

The _{distribution diagram of h x} scattered points is shown in Figure 2.

Introduce variables B _{x, y} and ∑B _y , where

x represents the harmonic order, x=1, 2...32; y represents the working mode, y=1, 2...8.

B _{x, y} represents the sub-item recognition result of the _{device to be identified; ΣB y} represents the comprehensive recognition result of the device to be identified.

When the x-th harmonic of the equipment to be identified meets the characteristic range of the x-th harmonic in the preset y working mode, B _{x,y is} recorded as 0.33, and vice versa is recorded as 0.67 (the purpose is to make the sub-item identification at least 2/3 or more Only when the eigenvalues are matched can ∑B _y >0).

When the comprehensive recognition result ΣB _{y of the} device to be identified is >0, the device to be identified is considered to be a disinfection device and the working mode is y mode, otherwise the device to be identified is considered to be a non-sterile device. If there are multiple ΣB _y > 0, the mode with the largest _{ΣB y is considered to be the working mode.}

Periodic current, current effective value, power, and 32nd harmonic are used as the characteristic value input algorithm for load identification. The support vector machine generates a binary decision result through calculation and initially realizes the classification. The result is used as the input value of the random forest calculation process. Random forest is based on the principle of minority obedience to the majority of decision tree results to vote for comprehensive decision-making, considering practical applications, in order to further improve the accuracy of recognition, and then use mathematical statistics to calculate its correct rate, and obtain the effective probability of classification and recognition.

Through the correlation analysis of the characteristic values of electrical parameters, the similarity can be distinguished to identify the type and operating state of the electrical appliance. The electrical identification has high accuracy and is suitable for embedding in the monitoring equipment. There is no need to transmit the data to the terminal for processing and analysis, which can satisfy The real-time requirements of the monitoring system.

In order to avoid misoperation, the algorithm has also added an exception handling mechanism and set a certain threshold. Only when the specified threshold is exceeded, an alarm signal will be generated. If it is judged to be abnormal, according to a certain time window that has been set, reconfirm whether it is abnormal after a certain time interval. If the data returns to normal at this time, it is judged that the merchant has unintentionally misoperation, and the abnormal data is processed and marked, if it is still abnormal Then alarm. The disinfection equipment can also be set with a regular start function through the new smart socket, and disinfection during the flat and valley time, thereby saving electricity bills for businesses and reducing peak voltage power for the power grid.

This algorithm uses the output of one algorithm as the input of another algorithm, which better solves the existing disadvantages of blind processing and long processing time. The random forest algorithm also effectively avoids overfitting or partial optimization of a single decision tree. Advantages and disadvantages.

The historical database stores the historical parameter information of the operation of the disinfection equipment (such as the disinfection cabinet), and a power load model of the disinfection equipment is established for this. The system compares and analyzes the received data with the load model of the disinfection equipment. It can then determine that the electrical appliances connected to the new smart socket are disinfection equipment, and can obtain user behavior information such as whether the disinfection equipment is turned on, the length of use, and the probability of use. , So as to get the judgment of whether the disinfection equipment is working normally.

More than 90% of the common catering industry disinfection cabinets on the market use a single function or a combination of multiple functions such as high temperature, ozone, ultraviolet, and infrared to disinfect. The electrical parameters of the equipment are also different during operation. This is a special electrical equipment for the disinfection cabinet. In other words, its periodic current, 32nd harmonic, power, and current effective value itself or combination derived characteristic values are significantly different from other electrical equipment in the catering industry, and the differences in different working modes are also very large, so it can This establishes multiple target models to increase the accuracy of the recognition algorithm. Besides. The effective value of current and power parameters can be used as characteristic values for detecting the running time and status changes of the disinfection cabinet.

In the second embodiment, this embodiment also provides a monitoring server for the use of catering disinfection equipment based on the Internet of Things;

The monitoring server for the use of food and beverage disinfection equipment based on the Internet of Things includes:

The disinfection equipment and its work mode recognition module are configured to identify whether the equipment to be identified is a disinfection equipment and identify the actual work mode of the disinfection equipment according to the alternative work mode and the Nth harmonic of the disinfection equipment.

The third embodiment, this embodiment also provides an electronic device, including a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are executed by the processor, the computer instructions in the first embodiment are completed. The steps of the method.

In the fourth embodiment, this embodiment also provides a computer-readable storage medium for storing computer instructions. When the computer instructions are executed by the processor, the steps of the method described in the first embodiment are completed.

Fifth embodiment, this embodiment also provides a monitoring system for the use of catering disinfection equipment based on the Internet of Things;

As shown in Figure 4, the monitoring system for the use of catering disinfection equipment based on the Internet of Things includes: client, cloud server, router, smart socket and equipment to be identified;

The power cord of the disinfection device is plugged into a smart socket, the smart socket is connected to a power source, the smart socket collects operating state data of the equipment to be identified, and uploads the collected operating state data to a cloud server through a router;

The smart socket includes a controller, which is respectively connected with a data acquisition module, a Beidou positioning module and a wireless communication module.

The data collection module includes a voltage sensor and a current sensor, and the voltage sensor and the current sensor are both connected to the controller for collecting current value and voltage value;

The Beidou positioning module is used to collect the geographic location information where the smart socket is located, and upload it to the cloud server through the wireless communication module.

The smart socket further includes: an alarm module connected to the controller, and the alarm module is used to perform an over-threshold traffic alarm on the voltage value and the current value.

Smart socket is a kind of intelligent Internet of Things terminal, which is different from common smart sockets or ordinary sockets on the market. The new smart socket adds data acquisition module Beidou positioning module and wireless communication module on the basis of household AC power plug. Data collection, geographic information positioning, wireless communication, abnormal alarm and other functions, and at the same time it can be matched with the two-port and three-port socket plugs commonly available on the market, physically plug it into the wall power socket, and disinfect the equipment (such as disinfection cabinet) The power plug can be used normally when inserted into the new smart socket, which is simple to install and easy to use.

The smart socket transmits the collected data to the server of the supervision platform of the relevant department through the WiFi wireless router in the restaurant. The supervision cloud platform analyzes and compares the received operating data of the disinfection cabinet and judges whether its working status is normal. If it is judged that the disinfection cabinet has not been working or the data does not match the normal running status, the platform will give an alarm message to remind you that The merchant’s disinfection equipment works abnormally.

On the one hand, the device can collect the real-time value of voltage and current in the circuit, and calculate the electrical parameters of electrical equipment based on this, such as the effective value of current/voltage, power, electrical energy and 32nd harmonics. In addition, the device can also obtain geographic location information through the Beidou positioning module, upload the geographic location information to the cloud server, and the client combined with the geographic information system (GIS) to display the location of the terminal (ie the restaurant) on the map. When there is alarm information, it can correspond to the geographic location in real time. The wireless communication module is responsible for the communication between the smart socket and the wireless router.

WIFI wireless communication is the most widely used wireless network transmission technology today. Most restaurants will be equipped with a WIFI wireless router, which not only meets the needs of customers to access the Internet, but also provides a communication channel for data transmission for the system. The new smart socket transmits equipment operating parameters to the cloud server of the supervision system through the wireless router. The supervision cloud platform has data storage and data processing functions. The core device is a cloud server, which is deployed with data receiving programs, real-time databases, historical databases, and device identification algorithm programs, and data encryption algorithm programs.

More than 90% of the common catering industry disinfection cabinets on the market use a single function or a combination of multiple functions such as high temperature, ozone, ultraviolet, and infrared to disinfect. The electrical parameters of the equipment are also different during operation. This is a special electrical equipment for the disinfection cabinet. In terms of its periodic current, 32nd harmonic, power, and current effective value itself or combination derived characteristic values, there are significant differences from other electrical equipment in the catering industry, and the differences in different working modes are also great, so it can This establishes multiple target models to increase the accuracy of the recognition algorithm. Besides. The effective value of current and power parameters can be used as characteristic values for detecting the running time and status changes of the disinfection cabinet.

The above descriptions are only preferred embodiments of the application, and are not intended to limit the application. For those skilled in the art, the application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the protection scope of this application.

Claims

The monitoring method for the use of catering disinfection equipment based on the Internet of Things is characterized by:

Collect the operating state data of the equipment to be identified, and extract the periodic current value, N-th harmonic, current effective value and power value characteristics from the collected operating state data;

According to the effective value of the current of the device to be identified, determine whether the device to be identified is in the working state, if so, go to the next step, if not, continue to collect the running state data of the device to be identified;

According to the periodic current value, power value, and current effective value of the device to be identified, judge whether the device to be identified is in a stable working state, if so, go to the next step; if not, continue to collect the running state data of the device to be identified;

According to the alternative working mode of the disinfection equipment and the Nth harmonic, the equipment to be identified is identified as a disinfection equipment, and the actual working mode of the disinfection equipment is identified.
The method according to claim 1, characterized in that it further comprises: detecting the actual working time of each disinfection equipment per unit time, if the actual working time reaches the set threshold, no alarm is given, and if the actual working time does not reach the set Set the threshold, then alarm.
The method according to claim 1, characterized in that, according to the effective value of the current of the device to be identified, judging whether the device to be identified is in a working state; the specific steps include:

S21: Calculate the difference between the effective value of the current of the device to be identified and the preset standard effective value of the starting current;

S22: Determine whether the difference of S21 is always greater than or equal to zero within the set time range. If it is, it means that the device to be identified is in a working state; if not, it means that the device to be identified is in a non-working state.
The method according to claim 1, characterized in that, according to the periodic current value, power value and current effective value of the device to be identified, it is determined whether the device to be identified is in a stable working state; the specific steps include:

According to the periodic current value of the device to be identified, the maximum value of the periodic current and the minimum value of the periodic current are obtained;

Calculate the power change rate according to the power value of the device to be identified at the current moment and the power value at the previous moment;

If the power variation rate is within the set range, the maximum periodic current is greater than zero, the minimum periodic current is less than zero, and the effective current value is greater than the set threshold, it means that the device to be identified is in a stable working state; otherwise, it means the device to be identified In an unstable working condition.
The method according to claim 1, characterized in that, according to the alternative working mode of the disinfection equipment and the Nth harmonic, the identification of whether the equipment to be identified is a disinfection equipment is identified, and the actual working mode of the disinfection equipment is identified; specific steps include:

S400: According to the harmonic order N, divide the N-th harmonic into N numerical values h x , where the value range of x is 1 to N; N is a positive integer; y is the working mode number, and the value range of y Is 1 to p; p is a positive integer; let y=1;

S401: Let x=1;

S402: Take h x and y; judge whether h xstandardy.l <h x <h xstandardy.h is established, if yes, record B x, y = 0.33, and go to S403; if not, then record B x, y =- 0.67, enter S403;

Among them, h xstandardy.l represents the lowest lower limit of the Nth harmonic in all working modes;

h xstandardy.h represents the highest upper limit of the Nth harmonic in all working modes; B x, y represents the sub-recognition results of the equipment to be identified;

S403: Let x=x+1; judge whether x is less than or equal to N, if yes, go to S402; if not, go to S404;

S404: output ΣB y ; where ΣB y = B 1, y + B 2, y +...+B N, y ; ΣB y represents the comprehensive recognition result of the device to be recognized;

S405: Let y=y+1; judge whether y is less than or equal to p, if yes, go to S401; if not, go to S406;

S406: If the comprehensive identification result ΣB y of the device to be identified is greater than zero, it means that the device to be identified is a disinfection device, and the working mode of the disinfection device is mode y; otherwise, it means that the device to be identified is a non-sterile device.
The method according to claim 5, characterized in that if the comprehensive recognition result ΣB y of multiple devices to be recognized is greater than zero, the mode with the largest ΣB y is considered as the working mode.
The monitoring server for the use of food and beverage disinfection equipment based on the Internet of Things is characterized by:

The feature extraction module is configured to: collect operating state data of the equipment to be identified, and extract characteristics of periodic current value, N-th harmonic, current effective value, and power value from the collected operating state data;

The working state opening judgment module is configured to judge whether the device to be identified is in working state according to the effective value of the current of the device to be identified, if it is, then go to the next step, if not, continue to perform data on the operating state of the device to be identified collection;

The working state stability judgment module is configured to judge whether the device to be identified is in a stable working state according to the periodic current value, power value and effective value of the current of the device to be identified, if it is, then go to the next step; if not, Then continue to collect the operating status data of the equipment to be identified;

The disinfection equipment and its working mode recognition module are configured to identify whether the equipment to be identified is a disinfection equipment and identify the actual working mode of the disinfection equipment according to the alternative working mode and the Nth harmonic of the disinfection equipment.
An electronic device, which is characterized by comprising a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are executed by the processor, they complete the method described in any one of claims 1-6. The steps described.
A computer-readable storage medium, characterized in that it is used to store computer instructions, which, when executed by a processor, complete the steps described in any one of the methods of claims 1-6.
The monitoring system for the use of catering disinfection equipment based on the Internet of Things is characterized by: client, cloud server, router, smart socket and equipment to be identified;

The power cord of the disinfection device is plugged into a smart socket, the smart socket is connected to a power source, the smart socket collects operating state data of the equipment to be identified, and uploads the collected operating state data to a cloud server through a router;

The cloud server receives the collected operating state data, and the cloud server extracts periodic current value, N-th harmonic, current effective value, and power value characteristics from the collected operating state data; judges based on the effective current value of the device to be identified Whether the device to be identified is in a working state, if it is in a working state, judge whether the device to be identified is in a stable working state according to the periodic current value, power value and current effective value of the device to be identified, if it is in a stable working state, According to the alternative working mode and N-th harmonic of the disinfection equipment, identify whether the equipment to be identified is a disinfection equipment, and identify the actual working mode of the disinfection equipment, and then process the identification results and work of the equipment to be identified. The mode is fed back to the client.