Method and system for intelligently detecting multifunctional dining table based on Internet of Things

Abstract

The invention discloses a method and system for intelligently detecting a multifunctional dining table based on the Internet of Things, and the method comprises the steps: (1), according to the geographic position and model of the dining table, matching and setting the types and serial numbers of multi-stage electrical equipment; (2) collecting heater circuit data and temperature data of the dining table and circuit data of a turntable motor and an air draft motor, and forming state data set information of the dining table corresponding to the types and the serial numbers of the electrical equipment; (3) updating and matching the content of the cloud information card through a cloud wireless internet access device, determining set information, and uploading the set information to a cloud platform service system; and (4) when the circuit is detected to be abnormal, performing comparative analysis on abnormal data and normal working data in the database, constructing a neural network training model, judging a fault type and an emergency degree, and sending out a fault alarm. Failure prediction or alarm can be carried out in time, the dining table equipment maintenance efficiency is improved, the normal working state is guaranteed, and the high-quality catering enjoyment experience feeling of a user is enhanced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent data analysis of Internet remote detection multifunctional electrical appliances, and particularly to an intelligent detection multifunctional dining table method and system based on the Internet of Things. Background Art

[0002] Existing dining tables not only serve as platforms for placing dishes. In order to facilitate customers to quickly order menus, independently control hot pot heating, or control a barbecue grill, an order-calling system, an induction cooker, or a barbecue grill will be set up. High-end large round tables can control the automatic turntable operation. Sometimes, ten small induction cookers can be configured for individual heating, or barbecue cooking, etc.

[0003] The prior art such as the one with the name: A Multifunctional Dining Table, application number: CN202323117935.1, includes a fixed tabletop and a telescopic tabletop slidably arranged above the fixed tabletop. A storage area and a baking area are arranged below the fixed tabletop. An induction cooker placement area and a baking tray placement area are provided on the telescopic tabletop. Above the baking tray placement area on the telescopic tabletop, there is an oil fume extractor with adjustable height for adsorbing fumes and oil stains.

[0004] For hotels that often hold important official banquet receptions and wedding banquets with dozens of tables, no unexpected situations can occur in every detail of the catering. For example, if an induction cooker breaks down, or the turntable motor fails to rotate, it will affect the atmosphere of an important occasion. Customers hope that high-end hot pot dining tables can have an automatic detection function, uniformly manage and monitor the working status of electrical appliances in real time, promptly handle sudden failures, and find suitable electrical appliance spare parts for replacement and repair; or can predict and remind the service life of various electrical appliances in advance to avoid equipment problems that cannot be repaired in time at important banquet occasions, resulting in accidents.

[0005] The current hot pot heating dining tables only have the functions of hot pot heating or pressing a button to call the waiter, and are not intelligent catering devices that can be networked to exchange data. They cannot be connected to the Internet of Things for intelligent monitoring and management of thousands of units, cannot uniformly monitor the working status of electrical appliances in real time, and cannot analyze faults and handle sudden failures in a timely manner. The wireless Internet access devices also communicate by inserting card-type information cards. If the device is replaced, a new hardware information card needs to be matched again, wasting hardware resources and making management and operation very inconvenient; moreover, for the card-type wireless Internet access devices installed at the bottom of the dining table, the replacement operation is inconvenient, the service life is short, and it is not suitable for the management of large-scale intelligent dining table electrical appliances. Summary of the Invention

[0006] To overcome the deficiencies of the prior art, the present invention provides an intelligent detection multi-functional dining table method and system based on the Internet of Things, constructs a digital intelligent detection management system, accurately collects data of terminal dining table electrical equipment, shares data network resources through analysis algorithms, predicts or alarms faults in a timely manner, improves the maintenance efficiency of dining table equipment, ensures the normal working state, and enhances the user's high-quality dining experience.

[0007] First, the present invention provides an intelligent detection multi-functional dining table method based on the Internet of Things, including the steps of:

[0008] (1) According to the geographical location and model of the dining table, match and set multi-level electrical equipment categories and number codes, and store them in the monitoring controller;

[0009] (2) Collect the heater circuit data and temperature data of the dining table, as well as the circuit data of the turntable motor and the exhaust fan motor, and respectively correspond to the electrical equipment categories and number codes to form the state data set information of the dining table;

[0010] (3) Through the cloud wireless Internet device of each dining table, update and match the content of the cloud information card, determine the state data set information of the dining table, and upload it to the cloud platform service system;

[0011] (4) When detecting abnormal circuit or abnormal temperature, compare and analyze the abnormal data with the normal working data in the database, construct a neural network training model, judge the type and urgency of the fault, and send a fault alarm through the cloud platform service system; or the background intelligently retrieves the database to find the inventory spare parts equipment and reminds the personnel to come for maintenance.

[0012] Specifically, in step (2),

[0013] The state data set information of the dining table includes: the model, function, geographical location, user information, electrical equipment category, brand, and fault emergency level of the dining table; then combine the state data set information of the dining table with the city name and encrypt it according to the mixed coding method of positive and reverse codes to form a dining table intelligent code.

[0014] Specifically, in step (3), the cloud wireless Internet device includes a wireless card communication device and a cloud information card management device, registers to the base station through the wireless card communication device, and establishes communication with the cloud card package of the cloud platform service system; after establishing communication with the cloud card package, receive the content of the cloud information card allocated by the cloud card package and transfer it to the cloud information card management device;

[0015] The cloud card package stores virtual cloud information card data. After the wireless card communication device automatically dials up the Internet, start the heartbeat mechanism to judge whether the terminal dining table device is powered on;

[0016] If powered on, the cloud information card management device registers and authenticates the received cloud information card content; after successful registration and authentication, it dynamically adjusts the cloud information card resources of the shared cloud card package, releases invalid cloud information cards, and matches valid and updated cloud information cards.

[0017] Receive the status data set information of the table after authentication.

[0018] Further, step (4) specifically includes: comparing and analyzing abnormal data with normal working data in the database, constructing a neural network training model, pre-setting the fault emergency level, setting the turntable motor fault as level one, the heating induction cooker fault as level two, the control key circuit fault as level three, and the exhaust fan motor fault as level four, respectively adding priority weightings, substituting them into the fault severity calculation formula, and calculating through a normalization function to obtain the specific fault severity.

[0019] Judge the fault type and emergency level, and send a fault alarm through the cloud platform service system.

[0020] Intelligently retrieve the database, query the inventory spare parts equipment in the nearest urban area, and instruct the maintenance personnel to retrieve the spare parts equipment for maintenance.

[0021] Further, it also includes the step: automatic inspection of the table electrical equipment. At the set detection time point, start the inspection program, automatically detect the working duration and circuit of multiple heaters, turntable motors, and exhaust fans of the table, upload the inspection results to the cloud platform service system, compare with the database information, and give maintenance reminder information through the table display screen or the user's mobile phone APP.

[0022] The present invention also provides an intelligent detection multifunctional table system based on the Internet of Things, including a multifunctional table, which has a monitoring controller for matching and setting multi-level electrical equipment categories and number codes according to the geographical location and model of the table; collecting the heater circuit data and temperature data of the table, as well as the circuit data of the turntable motor and exhaust fan motor, and respectively corresponding to the electrical equipment categories and number codes to form the status data set information of the table.

[0023] A cloud wireless Internet device for updating and matching cloud information card content, determining the status data set information of the table, and uploading it to the cloud platform service system.

[0024] A cloud platform service system for, after detecting circuit anomalies or temperature anomalies, comparing and analyzing the abnormal data with normal working data in the database, constructing a neural network training model, judging the fault type and emergency level, and sending a fault alarm; or intelligently retrieving the database in the background to find the inventory spare parts equipment and reminding personnel to come for maintenance.

[0025] Further, the cloud wireless Internet device includes a wireless card communication device and a cloud information card management device, registers with a base station through the wireless card communication device, and establishes communication with the cloud card package of the cloud platform service system; after establishing communication with the cloud card package, it receives the cloud information card content allocated by the cloud card package and transfers it to the cloud information card management device;

[0026] The cloud card package stores virtual cloud information card data. After the wireless card communication device automatically dials up the Internet, it starts a heartbeat mechanism to determine whether the terminal dining table device is powered on;

[0027] If it is powered on, the cloud information card content received is registered and authenticated through the cloud information card management device; after successful registration and authentication, the cloud information card resources of the shared cloud card package are dynamically adjusted, invalid cloud information cards are released, and valid updated cloud information cards are matched;

[0028] Receive the status data set information of the dining table after authentication.

[0029] Further, the cloud platform service system is also used to compare and analyze abnormal data with normal working data in the database, construct a neural network training model, preset the fault emergency level, set the turntable motor fault as level one, the heating induction cooker fault as level two, the control key circuit fault as level three, and the exhaust fan motor fault as level four, respectively add priority weights, substitute them into the fault severity calculation formula, and calculate through a normalization function to obtain the specific fault degree;

[0030] Judge the fault type and emergency level, and issue a fault alarm;

[0031] Intelligently retrieve the database, query the inventory spare parts equipment in the nearest urban area, and instruct the maintenance personnel to retrieve the spare parts equipment for maintenance.

[0032] Further, the status data set information of the dining table includes: the model, function, geographical location, user information, electrical equipment category, brand, and fault emergency level of the dining table; the monitoring controller is also used to encrypt the status data set information of the dining table combined with the city name according to the mixed coding method of positive and negative codes to form a dining table intelligent code.

[0033] Further, the monitoring controller is also used to perform automatic inspection of the dining table electrical equipment. At the set detection time point, start the inspection program, automatically detect the working hours and circuits of multiple heaters, turntable motors, and exhaust fans of the dining table, upload the inspection results to the cloud platform service system, compare them with the database information, and give maintenance reminder information through the dining table display screen or the user mobile phone APP.

[0034] The following introduces the technical advantages brought by the system and method of the present invention by comparing with the prior art:

[0035] 1) Existing dining tables with hot pot or grill heating are all controlled by individual buttons, unable to automatically detect faults and lacking the centralized digital intelligent detection and management function for thousands of units.

[0036] The present invention adopts a digital intelligent detection dining table system to uniformly monitor and manage all the electrical appliances of each multifunctional dining table, and collects and analyzes data through a cloud platform service system. It can not only immediately determine which city area the dining table in use is located in and which electrical appliance has a fault, give accurate fault prompt information for convenient and quick repair, but also usually automatically start an inspection program to automatically detect the working hours and circuits of multiple heaters, turntable motors, exhaust fans, etc. of the dining table. The inspection results are uploaded to the cloud platform service system, compared with the database information, and maintenance reminder information is given through the dining table display screen or the user's mobile phone APP. The early detection rate of faults is high, and accurate fault information can be obtained within more than ten seconds, which is more intelligent and efficient than the existing dining table control systems in the same field.

[0037] The method and system for intelligent detection of multifunctional dining tables based on the Internet of Things in the present invention constructs a digital intelligent catering electrical appliance networking management system, which can simultaneously monitor and manage thousands of multifunctional dining tables in multiple cities, is applicable to high-end catering restaurants and government reception departments, saves hardware costs and shares network resources, provides timely fault alarms or predictions, improves the maintenance efficiency of dining table equipment, ensures the normal working state, and enhances the user's high-quality dining enjoyment experience.

[0038] 2) Since there are many electrical appliances on each multifunctional dining table, how to remotely and accurately monitor thousands of dining tables? The method of the present invention adopts a special device coding method. According to the geographical location and model of the dining table, multiple levels of electrical appliance categories and number codes are matched and set. The analyzed state data set information of the dining table includes: the model, function, geographical location, user information, electrical appliance category, brand, and fault emergency level of the dining table; then combined with the city name, a table intelligent code is encrypted according to the mixed coding method of positive and reverse codes. This can quickly and accurately locate which electrical appliance has a fault, and according to the emergency level of the fault, remind whether to repair on-site immediately or delay the repair, and scientifically give a maintenance plan through artificial intelligence algorithms, greatly improving the maintenance efficiency. At the same time, adopting the mixed coding method of positive and reverse codes combined with the city name to encrypt and form the table intelligent code can well self-correct the accuracy of the data, improve the information matching degree and resolution, accurately locate the fault point, and the encrypted coding transmission also ensures the data security.

[0039] 3) Through the cloud platform service system, compare and analyze the abnormal data with the normal working data in the database, construct a neural network training model, transform and filter the data, and further compare the data fusion and matching with the electrical parameter database to obtain the real fault situation and eliminate the interference information. Preset the fault emergency level, add the priority weight respectively, bring it into the fault severity calculation formula, and calculate through the normalization function to obtain the specific fault; judge the fault type and emergency level, send out a fault alarm, realize intelligent analysis, and greatly improve the accuracy and maintenance timeliness.

[0040] 4) The system of the present invention does not adopt the traditional wireless networking device with an inserted Internet card. Because if the dining table or the wireless networking device is replaced, a new Internet card must be replaced, which greatly wastes hardware resources, is inconvenient to operate, and has a high cost. The present invention adopts a cloud-based wireless Internet access device in cooperation with the cloud platform service system. Only by modifying the cloud Internet card information in the data can it accurately match the Internet access, and it can also be flexibly and conveniently integrated into the cloud platform service system to manage thousands of multifunctional dining tables, saving more than 30% of the cost and improving the convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic block diagram of the method of the present invention.

[0042] Figure 2 It is a schematic diagram of the function modules of the intelligent detection multifunctional dining table system based on the Internet of Things of the present invention.

[0043] Figure 3 It is a schematic structural diagram of the intelligent detection multifunctional dining table system based on the Internet of Things of the present invention.

[0044] Figure 4 It is a schematic structural diagram of the intelligent detection multifunctional dining table based on the Internet of Things of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0045] Next, the technical solutions in the embodiments of the invention will be clearly and completely described in conjunction with the accompanying drawings in this embodiment.

[0046] See the attached Figure 1 , Embodiment 1, the present invention provides a method for an intelligent detection multifunctional dining table based on the Internet of Things, including: Step (1) According to the geographical location and model of the dining table, match and set multiple levels of electrical equipment categories and number codes, and store them in the monitoring controller.

[0047] The multifunctional dining table developed by our team comes in different models with various functions. There is a two-person table equipped with an induction cooker hot pot and an in-built range hood. There is also a four-person table with four induction cooker hot pots, a turntable motor and an in-built range hood. There is a high-end model, which is a large round table for ten people, with each seat equipped with an individual induction cooker hot pot, and the central cavity is equipped with an in-built range hood and a turntable motor. An electric barbecue grill or an atomizer can also be added according to the needs of the restaurant to create a hazy dining atmosphere with floating smoke. When the multifunctional dining table is used in different urban areas, for precise wireless network remote detection, it is necessary to uniformly confirm the usage location, so multiple categories and numbered codes of electrical equipment are matched and set.

[0048] In step (2), circuit detectors and temperature probes are set for multiple heaters of the dining table, and circuit detectors are set for the turntable motor and the exhaust fan motor to collect the heater circuit data and temperature data of the dining table, as well as the circuit data of the turntable motor and the exhaust fan motor, and they are respectively corresponding to the said electrical equipment categories and numbered codes to form the status data set information of the dining table. The status data set information of the dining table includes: the model, function, geographical location, user information, electrical equipment category, brand, and fault emergency level of the dining table. See the following table. This can facilitate data filing, classification and analysis, and provide a basis for promptly retrieving electrical spare parts for maintenance through intelligent search.

[0049] Dining table model Appliance category Brand Geographical location User Fault level F-326 Induction cooker 11 Midea Panyu, Guangzhou Hotel A Level 2 F-326 Induction cooker 12 Midea Panyu, Guangzhou Hotel A Level 2 F-326 Control button box Midea Panyu, Guangzhou Hotel A Level 3 F-326 Turntable motor 1 Gree Panyu, Guangzhou Hotel A Level 1 F-326 Exhaust fan motor 1 Gree Panyu, Guangzhou Hotel A Level 4 H-427 Induction cooker 21 Galanz Nanhai, Foshan Restaurant R Level 2 H-427 Exhaust fan motor 1 Gree Nanhai, Foshan Restaurant R Level 4 H-427 Control button box Midea Nanhai, Foshan Restaurant R Level 3

[0050] Fault levels are pre-set for all electrical equipment. The turntable motor fault is set as level one, the heating induction cooker fault is set as level two, the control button circuit fault is set as level three, and the exhaust fan motor fault is set as level four, with priority level weights added respectively. For example, the weight value of level one fault is 10, the weight value of level two fault is 8, the weight value of level three fault is 6, and the weight value of level four fault is 4.

[0051] The status data set information of the dining table is combined with the city name and encrypted according to the mixed coding method of positive and reverse codes to form the intelligent coding of the dining table. For example, for a ten-person round multifunctional dining table in a certain city, each seat is equipped with an induction cooker hot pot, a range hood and a turntable motor, with twelve electrical equipment, forming twelve status data information. The intelligent coding signal of the dining table in positive and reverse codes is converted by using the Gold sequence coding or the quadratic residue sequence coding method in combination with the city name. It is to splice a positive-order information and a reverse-order information together to form a positive and reverse code signal. It is sent to the database of the cloud platform service system for storage, and a one-to-one mapping relationship is established. The replace function is used to classify the intelligent coding signal of the dining table to form a dining table electrical record form for each specific use location, which is convenient for the system to automatically match and check. According to the specific information processing process, information parsing and processing are carried out, which can improve the information matching degree and resolution, reduce the possibility of information recognition errors, and accurately locate the fault point. Due to the large amount of status data set information, the mixed coding method of combining the city name according to positive and reverse codes can contain more than a dozen pieces of information than the traditional commodity coding method, and it is convenient to verify and correct each other on the cloud platform service system, ensuring the accuracy of the description of the status of each electrical equipment.

[0052] Step (3) updates and matches the content of the cloud information card through the cloud wireless Internet device of each dining table to determine the status data set information of the dining table.

[0053] Specifically, the cloud wireless Internet device includes a wireless card communication device and a cloud information card management device. It is registered to the base station through the wireless card communication device and establishes communication with the cloud card package of the cloud platform service system; after establishing communication with the cloud card package, it receives the content of the cloud information card allocated by the cloud card package and transfers it to the cloud information card management device;

[0054] The cloud card package stores virtual cloud information card data. After the wireless card communication device dials up the Internet automatically, it starts a heartbeat mechanism to judge whether the terminal dining table device is powered on; if it is powered on, it performs network speed measurement. If the measured speed does not exceed the preset threshold, it judges that the network of this mobile operator is blocked and automatically switches to the network of the next mobile operator to meet the network transmission needs of the device, and real-time detects the network situation of the environment and intelligently matches the network resources with the best network speed.

[0055] If it is detected that there is no network problem, it automatically checks whether the cloud information card is normal. If it is not normal, it instructs the cloud card package to allocate a new cloud information card, and the parameter is the switching mode. The cloud information card management device registers and authenticates the received cloud information card content; after the registration and authentication are successful, it dynamically adjusts the cloud information card resources of the shared cloud card package, releases the invalid cloud information cards, and matches the valid updated cloud information cards;

[0056] Receive the status data set information of the dining table after authentication and authorization.

[0057] In step (4), when abnormal circuit or temperature is detected, the abnormal data is compared and analyzed with the normal operating data in the database, a neural network training model is constructed for analysis to determine the type and severity of the fault, and a fault alarm is issued through the cloud platform service system; or the database is intelligently retrieved in the background to find the inventory spare parts equipment to remind the personnel to come for maintenance.

[0058] Specifically, the detected abnormal data of the electrical equipment is compared and analyzed with the normal operating data in the database, a neural network training model is constructed, a large amount of data is trained and analyzed, and the data is transformed and filtered. Further, the electrical parameter database of data fusion and matching is compared to obtain the real fault situation. The isnan function or the mean filtering method is used to detect accidental interference, such as automatically judging the instantaneous fluctuation of the grid voltage and the short-term misoperation of personnel. The detection results are all non-numerical data belonging to interference. The non-numerical data is numerically transformed through the neural network training model to distinguish it from the numerical data of the real fault. Filtering the interference data in the early stage can greatly save the analysis time and computing power.

[0059] Finally, the determined fault is brought into the calculation formula for the severity of the table fault.

[0060] H = V1 * F(Si) + V2 * K(Ti) + V3 * B(Pi)

[0061] In the above formula, H represents the severity value of the table fault. The larger the value, the more urgent the time required to solve the fault. F(Si) represents the number of affected users, K(Ti) is the number of electrical faults, B(Pi) is the electrical category, and V1, V2, and V3 respectively represent the weight coefficients of the number of affected users, the number of electrical faults, and the electrical category. It is set that V1 > V2 > V3. Through the normalization function calculation, the specific fault point and the severity value of the fault are obtained. Finally, it is judged whether the severity value of the fault exceeds the emergency repair threshold or the general repair threshold. If it exceeds the emergency repair threshold, it is necessary to immediately visit the door for inspection and repair; if it only exceeds the general repair threshold, it is necessary to conduct inspection and repair within 12 hours; others can be repaired one day later.

[0062] For example, when detecting a high-end hot pot table for ten people of table model F-326, a turntable motor fails, and there is also a small induction cooker that does not work, affecting ten people dining. There are two electrical faults. Finally, the calculated severity value of the table fault is large and exceeds the emergency repair threshold. The system automatically locates the restaurant location and notifies the manufacturer to immediately visit the door for repair. Another example is when detecting a four-person hot pot table of table model H-427, there is a fault with an exhaust fan. Finally, the calculated severity value of the table fault is small and does not exceed the general repair threshold. The system prompts that the visit for repair can be delayed by one day.

[0063] For thousands of multifunctional dining tables used nationwide, by constructing a central neural network training model to judge the type and urgency of faults, matching a powerful database to establish a file for each dining table, and sending a fault alarm through the cloud platform service system, this is much more convenient and intelligent and accurate than the traditional method in the catering field where customers call to describe faults and request maintenance themselves.

[0064] To assist in guiding the repair of faults, the system background will intelligently retrieve the database, query the inventory spare parts and equipment in the nearest urban area, and instruct the maintenance personnel to retrieve the spare parts and equipment for repair. For example, if it is detected that the central turntable of a dining table of model F-326 in a hotel in Panyu, Guangzhou does not rotate, after receiving the fault feedback, the system immediately queries the inventory spare parts motor in the nearest merchant repair shop, sends a fault text message and the phone information of the nearest repair shop to the hotel user, guides the user to quickly discover the fault, and notifies the professional personnel to repair the fault, forming a fast linkage response mechanism based on the Internet of Things to ensure that the turntable motor is replaced in time without affecting normal business.

[0065] To enhance the guarantee function, the method of the present invention further includes the step: automatically inspecting the electrical equipment of the dining table. At the set detection time point, such as automatically starting the inspection program at 9:00 am every Monday, automatically detecting the working hours and circuits of multiple heaters, turntable motors, and exhaust fans of the dining table, uploading the inspection results to the cloud platform service system, and comparing with the database information. For example, judging whether the voltage of the electromagnetic heater is stable and whether it exceeds the normal service life, and giving maintenance reminder information through the dining table display screen or the user's mobile phone APP.

[0066] See the appendix Figure 2 - 4 The present invention also provides an intelligent detection multifunctional dining table system based on the Internet of Things, which uses the above method. The system includes a multifunctional dining table 1. There is a cavity in the table column support 2, and a monitoring controller 3 is arranged, which is used to match and set multiple levels of electrical equipment categories and number codes according to the geographical location and model of the dining table; collect the circuit data and temperature data of the heater 4 of the dining table, and the circuit data of the central turntable motor 5 and the exhaust fan 6, and respectively correspond to the electrical equipment categories and number codes to form the status data set information of the dining table. The status data set information of the dining table includes: the model, function, geographical location, user information, electrical equipment category, brand, and fault emergency level of the dining table; the monitoring controller is also used to encrypt the status data set information of the dining table combined with the city name according to the mixed coding method of positive and negative codes to form a dining table intelligent code.

[0067] Figure 4 is a top view of a multifunctional dining table, with a tabletop 11, four embedded heaters 4, and a vegetable plate turntable 12 in the center.

[0068] The cloud-based wireless Internet device 7 is used to update and match the content of the cloud information card, determine the status data set information of the dining table, and upload it to the cloud platform service system;

[0069] The cloud platform service system is used to, after detecting circuit anomalies or temperature anomalies, compare and analyze the abnormal data with the normal working data in the database, construct a neural network training model, judge the type and urgency of the fault, and issue a fault alarm; or intelligently retrieve the database in the background, find the inventory spare parts equipment and remind the personnel to come for maintenance.

[0070] The cloud-based wireless Internet device includes a wireless card communication device and a cloud information card management device. Specifically, it is implemented by hardware integrating a ZigBee coordinator, and the software architecture adopts Zigbee agent and gateway function service SDK, which can be controlled by a mobile phone App or automatically set through the touch screen of the cloud-based wireless Internet device. It registers with the base station through the wireless card communication device and establishes communication with the cloud card package of the cloud platform service system; after establishing communication with the cloud card package, it receives the content of the cloud information card allocated by the cloud card package and transfers it to the cloud information card management device;

[0071] The cloud card package stores virtual cloud information card data. After the wireless card communication device automatically dials up the Internet, it starts a heartbeat mechanism to judge whether the terminal dining table device is powered on;

[0072] If it is powered on, the cloud information card management device registers and authenticates the received cloud information card content; after successful registration and authentication, it dynamically adjusts the cloud information card resources of the shared cloud card package, releases invalid cloud information cards, and matches the effectively updated cloud information cards; it receives the status data set information of the dining table after passing authentication.

[0073] The cloud platform service system is also used to compare and analyze the abnormal data with the normal working data in the database, construct a neural network training model, preset the fault emergency levels, set the turntable motor fault as level one, the heating induction cooker fault as level two, the control button circuit fault as level three, and the exhaust fan motor fault as level four, respectively add priority weights, substitute them into the fault severity calculation formula, and calculate through a normalization function to obtain the specific fault severity;

[0074] Judge the type and urgency of the fault and issue a fault alarm;

[0075] Intelligently retrieve the database, query the inventory spare parts equipment in the nearest urban area, and instruct the maintenance personnel to retrieve the spare parts equipment for maintenance.

[0076] The monitoring controller is also used for automatically inspecting the tabletop electrical equipment. At the set detection time point, it starts the inspection program to automatically detect the working hours and circuits of multiple heaters, turntable motors, and exhaust fans on the table. The inspection results are uploaded to the cloud platform service system, compared with the database information, and maintenance reminder information is given through the tabletop display screen or the user's mobile phone APP.

[0077] The system of the intelligent detection multifunctional table monitors and manages all the electrical appliances of each multifunctional table uniformly, and conducts data collection and analysis through the cloud platform service system. It can not only immediately determine which city area the table in use is located in and which electrical appliance has a fault, give accurate fault prompt information for convenient and quick repair, but also usually automatically start the inspection program to automatically detect the working hours and circuits of multiple heaters, turntable motors, exhaust fans, etc. on the table. The inspection results are uploaded to the cloud platform service system, compared with the database information, and maintenance reminder information is given through the tabletop display screen or the user's mobile phone APP. The early detection rate of faults is as high as over 98%, which is more efficient than the existing table control systems in the same field.

[0078] The method and system of the intelligent detection multifunctional table based on the Internet of Things of the present invention constructs a digital intelligent catering electrical appliance networking management system, which can monitor and manage thousands of multifunctional tables in multiple cities simultaneously. It has a high degree of intelligent operation, saves hardware costs and shares network resources, can give timely fault alarms or predictions, improves the maintenance efficiency of table equipment, ensures the normal working state, enhances the user's high-quality dining enjoyment experience, and endows the catering equipment with the function of network intelligent processing.

Claims

1. An intelligent detection multi-functional dining table method based on the Internet of Things, characterized in that Including the steps: (1) According to the geographical location and model of the dining table, match and set multiple levels of electrical equipment categories and numbered codes, and store them in the monitoring controller; (2) Collect the heater circuit data and temperature data of the dining table, as well as the circuit data of the turntable motor and the exhaust fan motor, and respectively correspond to the electrical equipment categories and numbered codes to which they belong, to form the status data set information of the dining table; (3) Through the cloud wireless Internet device of each dining table, update and match the content of the cloud information card, determine the status data set information of the dining table, and upload it to the cloud platform service system; (4) After detecting circuit anomalies or temperature anomalies, compare and analyze the abnormal data with the normal working data in the database, construct a neural network training model, judge the type and urgency of the fault, and send a fault alarm through the cloud platform service system; or the background intelligently retrieves the database to find the inventory spare parts equipment and reminds the personnel to come for maintenance.

2. The method for an intelligent detection multifunctional dining table based on the Internet of Things according to claim 1, wherein In step (2), the status data set information of the dining table includes: the model, function, geographical location, user information, electrical equipment category, brand, and fault urgency level of the dining table; then combine the status data set information of the dining table with the city name and encrypt it according to the mixed coding method of positive and negative codes to form a dining table intelligent code.

3. The method for an intelligent detection multi-functional dining table based on the Internet of Things according to claim 1, characterized in that In step (3), the cloud wireless Internet device includes a wireless card communication device and a cloud information card management device, registers to the base station through the wireless card communication device, and establishes communication with the cloud card package of the cloud platform service system; after establishing communication with the cloud card package, receive the content of the cloud information card allocated by the cloud card package and transfer it to the cloud information card management device; The cloud card package stores virtual cloud information card data. After the wireless card communication device automatically dials up the Internet, start the heartbeat mechanism to judge whether the terminal dining table device is powered on; If it is powered on, register and authenticate the received cloud information card content through the cloud information card management device; after successful registration and authentication, dynamically adjust the cloud information card resources of the shared cloud card package, release invalid cloud information cards, and match valid and updated cloud information cards; Receive the status data set information of the dining table after passing authentication and authorization.

4. The method for an intelligent detection multifunctional dining table based on the Internet of Things according to claim 1, characterized in that, The specific content of step (4) includes: compare and analyze the abnormal data with the normal working data in the database, construct a neural network training model, preset the fault urgency level, set the turntable motor fault as level one, the heating induction cooker fault as level two, the control button circuit fault as level three, and the exhaust fan motor fault as level four, respectively add the priority weight, bring it into the fault severity calculation formula, and calculate through the normalization function to obtain the specific fault severity; Judge the type and urgency of the fault, and send a fault alarm through the cloud platform service system; Intelligently retrieve the database, query the inventory spare parts equipment in the nearest urban area, and instruct the maintenance personnel to retrieve the spare parts equipment for maintenance.

5. The method for an intelligent detection multifunctional dining table based on the Internet of Things according to claim 1, characterized in that, It also includes the steps: automatically inspecting the tabletop electrical equipment. At the set detection time point, start the inspection program to automatically detect the working duration and circuit of the heater, turntable motor, and exhaust fan motor on the table. Upload the inspection results to the cloud platform service system, compare with the database information, and give maintenance reminder information through the tabletop display screen or the user's mobile phone APP.

6. An intelligent detection multi-functional dining table system based on the Internet of Things, characterized in that, It includes a multi-functional table with a monitoring controller for matching and setting multiple levels of electrical equipment categories and number codes according to the geographical location and model of the table; collecting the heater circuit data and temperature data of the table, as well as the circuit data of the turntable motor and exhaust fan motor, and respectively corresponding to the electrical equipment categories and number codes to form the status data set information of the table. A cloud wireless Internet access device for updating and matching the content of the cloud information card, determining the status data set information of the table, and uploading it to the cloud platform service system. A cloud platform service system for, after detecting circuit anomalies or temperature anomalies, comparing and analyzing the abnormal data with the normal working data in the database, constructing a neural network training model, judging the fault type and severity, and issuing a fault alarm; or intelligently retrieving the database in the background to find the inventory spare parts equipment and reminding personnel to come for repair.

7. The intelligent detection multi-functional table system based on the Internet of Things according to claim 6, wherein The cloud wireless Internet access device includes a wireless card communication device and a cloud information card management device, registers with the base station through the wireless card communication device, and establishes communication with the cloud card package of the cloud platform service system; after establishing communication with the cloud card package, receives the content of the cloud information card allocated by the cloud card package and transfers it to the cloud information card management device. The cloud card package stores virtual cloud information card data. After the wireless card communication device automatically dials up the Internet, start the heartbeat mechanism to judge whether the terminal tabletop device is powered on. If it is powered on, register and authenticate the received cloud information card content through the cloud information card management device; after successful registration and authentication, dynamically adjust the cloud information card resources of the shared cloud card package, release invalid cloud information cards, and match valid updated cloud information cards. Receive the status data set information of the table after passing authentication and authorization.

8. The intelligent detection multi-functional table system based on the Internet of Things according to claim 6, wherein The cloud platform service system is also used to compare and analyze the abnormal data with the normal working data in the database, construct a neural network training model, preset the fault severity level, set the turntable motor fault as level one, the heating induction cooker fault as level two, the control button circuit fault as level three, and the exhaust fan motor fault as level four, respectively add the priority weight, substitute it into the fault severity calculation formula, and calculate through the normalization function to obtain the specific fault degree. Judge the fault type and severity, and issue a fault alarm. Intelligently retrieve the database, query the inventory spare parts equipment in the nearest urban area, and instruct the maintenance personnel to retrieve the spare parts equipment for repair.

9. The intelligent detection multi-functional dining table system based on the Internet of Things according to claim 6, characterized in that, The information collection of the status data of the dining table includes: the model, function, geographical location, user information, electrical equipment category, brand, and fault emergency level of the dining table; the monitoring controller is also used to encrypt the information collection of the status data of the dining table combined with the city name according to the hybrid coding method of positive and reverse codes to form a dining table intelligent code.

10. The intelligent detection multifunctional dining table system based on the Internet of Things according to claim 6, characterized in that, The monitoring controller is also used to automatically inspect the electrical equipment of the dining table. At the set detection time point, it starts the inspection program to automatically detect the working duration and circuit of multiple heaters, turntable motors, and exhaust fans of the dining table. The inspection results are uploaded to the cloud platform service system, compared with the database information, and maintenance reminder information is given through the dining table display screen or the user's mobile phone APP.

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