Steel cylinder pollutant determination system based on Internet of Things

Abstract

The invention relates to the technical field of steel cylinder pollution evaluation, and discloses a steel cylinder pollutant determination system based on the Internet of Things, which comprises a data collection module, a data reading module, a data processing module, a weight calculation model and a smudginess rating module. The data acquisition module acquires historical cleaning data, historical distribution data, gas supply worker evaluation data and image data of the steel cylinder from the data acquisition module, determines the pollution weight of the steel cylinder according to the fact that the steel cylinder is used for resident users and catering users and according to the image data provided by the users, calls the pollution degree evaluation level of the gas supply worker on the steel cylinder, and determines the pollution degree of the gas supply worker on the steel cylinder. And the cleaning time required by the steel cylinder is calculated by integrating the data, so that the steel cylinder can be cleaned in the most reasonable time, the cleaning efficiency is improved, and the cleaning time is saved.

Description

Technical Field

[0001] The invention relates to the technical field of steel cylinder pollution assessment, and in particular to a steel cylinder pollutant determination system based on the Internet of Things. Background Art

[0002] As an efficient and clean energy source, liquefied gas is widely used. At present, nearly 200 million people in China use liquefied gas for cooking. The cylinders used in restaurants are exposed to the kitchen environment and are easily contaminated by oil smoke. The surface often becomes greasy. However, many home users place the cylinders in the cabinet to reduce their contact with oil smoke, so the surface of the cylinders is relatively clean.

[0003] After searching, a Chinese patent with application number 202211007383.6 discloses a method and device for determining pollutants, which obtains near-infrared spectra of pure substances and pollutants; obtains a simulated spectrum set of contaminated substances based on the near-infrared spectra of the pure substances and the pollutants; obtains a near-infrared spectrum of an unknown contaminated substance; and predicts the type and content of pollutants in the unknown contaminated substance based on the near-infrared spectrum of the unknown contaminated substance and the simulated spectrum set; by performing these steps, the pollutant analysis method only needs to perform a single spectral measurement on the contaminated substance to complete qualitative and quantitative analysis, thereby determining the type and content of pollutants in the contaminated substance;

[0004] In view of the above technology, the inventor believes that the factors for deriving the degree of contamination in this invention are relatively simple, and it is impossible to assess the degree of contamination on the surface of the cylinder from multiple aspects of data, so that the obtained data will have errors; and, the present application calculates the required cleaning time by the degree of contamination of the cylinder. On an unmanned automatic filling production line, the cleaning time obtained due to calculation errors is too long, which will cause a backlog of cylinders and cause the entire production line to stop production. If it is too short, cylinders with a higher degree of contamination will not be cleaned thoroughly every time. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a cylinder contaminant determination system based on the Internet of Things, which solves the problems raised in the above-mentioned background technology.

[0006] To solve the above technical problems, according to one aspect of the present invention, more specifically, a cylinder contaminant determination system based on the Internet of Things includes a data collection module, a data reading module, a data processing module, a weight calculation model and a contamination rating module, which is characterized by: the data collection module: used to collect and store historical cleaning data, distribution data, gas delivery worker evaluation data and image data of the cylinder;

[0007] Data reading module: used to read the cylinder information through the electronic tag reader and writer, and obtain the corresponding data from the data collection module;

[0008] Weight calculation model: used to calculate the degree of contamination on the cylinder surface based on the acquired data;

[0009] Dirt rating module: used to rate the surface contamination of cylinders based on the results of the weight calculation model;

[0010] Data processing module: used to receive and process data from each module and transmit the cylinder pollution rating to the outside.

[0011] Furthermore, the data collection module includes historical cleaning data, historical delivery data, gas delivery worker evaluation data, and photographic image data;

[0012] Historical cleaning data: When cleaning cylinders in the past, the electronic tag reader / writer reads the ultra-high frequency electronic tags set on the surface of the cylinders from a long distance to identify the cylinders and record the cleaning data of the cylinders;

[0013] Historical delivery data: When delivering cylinders in the past, the QR code on the surface of the cylinders is scanned by mobile phone to identify the cylinders and record the delivery data of the cylinders;

[0014] Gas delivery worker evaluation data: When the gas delivery worker is inspecting, the QR code on the surface of the cylinder is scanned by mobile phone to identify the cylinder and record the gas delivery worker evaluation data;

[0015] Photographic image data: Scan the QR code on the surface of the cylinder with a mobile phone to identify the cylinder and record the inspection image data taken by the customer.

[0016] Furthermore, the cylinders are divided into residential users and catering users according to the type of customers (K) using them;

[0017] Residential users:

[0018] Usage environment: The usage environment is relatively clean. Dirt mainly comes from cooking fumes and water stains, and the degree of dirtiness is relatively light.

[0019] Scoring weight:

[0020] Closed environment (with cabinets): low degree of dirtiness, score range: 20-30;

[0021] Open environment (no cabinets): slightly higher degree of dirtiness, score range: 30-50;

[0022] Catering users:

[0023] Use environment: The use environment is full of oil smoke, high temperature and high humidity. The cylinder is exposed to a highly polluted environment for a long time, and the degree of dirtiness is significantly higher;

[0024] Scoring weight:

[0025] Highly polluted environment: score range: 60-80;

[0026] Low-pollution and semi-polluted environment: Score range: 40-60.

[0027] Furthermore, the cylinders are divided into a cylinder usage score and a multi-cylinder environment score according to the usage environment (T) in which they are used;

[0028] Use of cylinders:

[0029] For water heaters: the environment is relatively clean and the degree of dirtiness is low, the score range is 10-20;

[0030] Multi-purpose cylinders: exposed to the kitchen environment for a long time and frequently used, with a high degree of dirtiness, score range: 50-70;

[0031] Multi-cylinder environment:

[0032] Single bottle use: It is used in a standardized manner at home, with low soiling, and the score range is 20-30;

[0033] Multiple cylinders in use: When multiple cylinders are in use, spare cylinders are usually kept. Spare cylinders stay in the kitchen longer and are more dirty. The score range is 60-80.

[0034] The weight of the type of customer and the use environment of the cylinder is 10±2%.

[0035] Furthermore, the cylinder surface contamination degree coefficient includes gas delivery worker evaluation, image recognition analysis, and historical cleaning and delivery data;

[0036] Gas delivery worker evaluation (P s ):

[0037] Appearance: rust degree, oil coverage area, number of scratches, 15±2%;

[0038] Touch: surface smoothness, stickiness, weight: 10±1%;

[0039] Odor: whether there is any peculiar smell, weight: 5%;

[0040] Image recognition analysis (P t ):

[0041] Dirt area coverage: Identify the coverage of oil and dust, and calculate the percentage of the stain area, weight: 40±2%;

[0042] Historical cleaning and delivery data:

[0043] Historical cleaning (Q): Cylinders that are frequently cleaned have lower dirty scores, and those that have not been cleaned for a long time have higher scores, weight: 15±2%;

[0044] Delivery data (S): Users with longer usage time and catering type have higher dirtiness assessment scores, weight: 5±1%.

[0045] The calculation formula for the comprehensive dirtiness score (H) of the cylinder is:

[0046] H=(P s ×30%)+(P t ×40%)+(Q×15%)+(S×5%)+[(K+T)×10%]

[0047] When H is between 0 and 20, the cylinder surface is extremely slightly contaminated: the surface is smooth, with a small amount of dust or stains, and the cleaning time is the shortest;

[0048] When H is between 21 and 40, the surface of the cylinder is slightly contaminated: light oil pollution, requiring medium-intensity cleaning;

[0049] When H is between 41 and 60, the cylinder surface is moderately polluted: obvious oil and stains, which require a long time to clean;

[0050] When H is between 61 and 80, the surface of the cylinder is seriously polluted: a lot of oil, rough surface, and high-intensity cleaning is required;

[0051] When H is between 81 and 100, the surface of the cylinder is extremely polluted: the surface is covered with oil and rust, and the strongest cleaning mode is required.

[0052] Furthermore, a cleaning time calculation model is provided in the dirt rating module, which calculates the time required for cleaning the cylinder according to the degree of contamination on the cylinder surface, and transmits instructions to the cleaning equipment through the data processing system to clean the cylinder surface. The calculation formula for the cylinder cleaning time is:

[0053] T=k×H / C

[0054] Wherein, T is the time required for cylinder cleaning; k is the empirical coefficient, which is based on the performance of the cleaning equipment, the type and concentration of the cleaning agent, and its reasonable range is obtained through experiments, with a value of 10-20%; C is the cleaning efficiency of the cleaning equipment.

[0055] A method for using a cylinder contaminant determination system based on the Internet of Things comprises the following steps:

[0056] S1. Read the cylinder data through the electronic tag reader / writer set in the data reading module, and obtain the historical cleaning data, historical distribution data, gas delivery worker evaluation data and image data of the cylinder from the data collection module;

[0057] S2. Read the cylinder data according to the electronic tag reader to obtain whether the cylinder is a residential user or a catering user, a single-purpose cylinder or a multi-purpose cylinder, and whether a single cylinder is used or multiple cylinders are used at the same time, so as to score the cylinder;

[0058] S3, the weight calculation model calculates the weight of the cylinder surface pollution according to the data obtained by the data reading module and the data collection module, and rates the cylinder pollution degree through the dirt rating module, and then transmits the rating data to the cleaning time calculation model;

[0059] S4. The cleaning time calculation model receives the data obtained by the weight calculation model, calculates the time required for cleaning the cylinder, transmits the result to the cleaning equipment, and uses the cleaning equipment to clean the cylinder.

[0060] The beneficial effects of the steel cylinder pollutant determination system based on the Internet of Things of the present invention are:

[0061] The present invention reads the cylinder data through the electronic tag reader / writer set in the data reading module, and obtains the historical cleaning data, historical distribution data, gas delivery worker evaluation data and image data of the cylinder from the data collection module, and determines the cylinder pollution weight according to whether the cylinder is used for residential users and catering users and the image data provided by the user, and then retrieves the gas delivery worker's evaluation level of the cylinder pollution level, and calculates the cleaning time required for the cylinder based on the above data. Compared with the existing cylinder cleaning technology, the present invention effectively shortens the cleaning time and significantly improves the cleaning efficiency and reduces resource waste by integrating the Internet of Things technology and historical data analysis.

[0062] This application can achieve the following technical effects by introducing Internet of Things technology and multi-dimensional data analysis:

[0063] 1. Optimization of cleaning time: Determine the best cleaning time according to the actual degree of contamination and improve the cleaning efficiency by more than 30%;

[0064] 2. Resource saving: Compared with the traditional fixed-time cleaning method, it can save 20% of water resources and 15% of electricity;

[0065] 3. Extended equipment life: By optimizing cleaning time and reducing unnecessary equipment loss, it is expected that the equipment life can be extended by 20%;

[0066] In addition, the present invention can also obtain the number of steel cylinders waiting for cleaning on the automatic filling line to automatically adjust the cleaning time, thereby avoiding the entire production line from being shut down due to a backlog of steel cylinders. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0068] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0069] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0070] like Figure 1 As shown, according to one aspect of the present invention, a steel cylinder contaminant determination system based on the Internet of Things is provided, comprising a data collection module, a data reading module, a data processing module, a weight calculation model and a contamination rating module, characterized in that: the data collection module is used to collect and store historical cleaning data, distribution data, gas delivery worker evaluation data and image data of the steel cylinder;

[0071] Data reading module: used to read the cylinder information through the electronic tag reader and writer, and obtain the corresponding data from the data collection module;

[0072] Weight calculation model: used to calculate the degree of contamination on the cylinder surface based on the acquired data;

[0073] Dirt rating module: used to rate the surface contamination of cylinders based on the results of the weight calculation model;

[0074] Data processing module: used to receive and process data from each module and transmit the cylinder pollution rating to the outside.

[0075] In this embodiment, the data collection module includes historical cleaning data, historical delivery data, gas delivery worker evaluation data, and photographic image data;

[0076] Historical cleaning data: When cleaning cylinders in the past, the electronic tag reader / writer reads the ultra-high frequency electronic tags set on the surface of the cylinders from a long distance to identify the cylinders and record the cleaning data of the cylinders;

[0077] Historical delivery data: When delivering cylinders in the past, the QR code on the surface of the cylinders is scanned by mobile phone to identify the cylinders and record the delivery data of the cylinders;

[0078] Gas delivery worker evaluation data: When the gas delivery worker is inspecting, the QR code on the surface of the cylinder is scanned by mobile phone to identify the cylinder and record the gas delivery worker evaluation data;

[0079] Photographic image data: Scan the QR code on the surface of the cylinder with a mobile phone to identify the cylinder and record the inspection image data taken by the customer.

[0080] In this embodiment, the cylinders are divided into residential users and catering users according to the type of customers (K) used;

[0081] Residential users:

[0082] Usage environment: The usage environment is relatively clean. Dirt mainly comes from cooking fumes and water stains, and the degree of dirtiness is relatively light.

[0083] Scoring weight:

[0084] Closed environment (with cabinets): low degree of dirtiness, score range: 20-30;

[0085] Open environment (no cabinets): slightly higher degree of dirtiness, score range: 30-50;

[0086] Catering users:

[0087] Use environment: The use environment is full of oil smoke, high temperature and high humidity. The cylinder is exposed to a highly polluted environment for a long time, and the degree of dirtiness is significantly higher;

[0088] Scoring weight:

[0089] Highly polluted environment: score range: 60-80;

[0090] Low-pollution and semi-polluted environment: Score range: 40-60.

[0091] In this embodiment, the steel cylinder is divided into a steel cylinder use purpose score and a multi-steel cylinder environment score according to the use environment (T) in which it is used;

[0092] Use of cylinders:

[0093] For water heaters: the environment is relatively clean and the degree of dirtiness is low, the score range is 10-20;

[0094] Multi-purpose cylinders: exposed to the kitchen environment for a long time and frequently used, with a high degree of dirtiness, score range: 50-70;

[0095] Multi-cylinder environment:

[0096] Single bottle use: It is used in a standardized manner at home, with low soiling, and the score range is 20-30;

[0097] Multiple cylinders in use: When multiple cylinders are in use, spare cylinders are usually kept. Spare cylinders stay in the kitchen longer and are more dirty. The score range is 60-80.

[0098] The weight of the type of customer and the use environment of the cylinder is 10±2%.

[0099] In this embodiment, the cylinder surface contamination degree coefficient includes gas delivery worker evaluation, image recognition analysis, and historical cleaning and delivery data;

[0100] Gas delivery worker evaluation (P s ):

[0101] Appearance: rust degree, oil coverage area, number of scratches, 15±2%;

[0102] Touch: surface smoothness, stickiness, weight: 10±1%;

[0103] Odor: whether there is any peculiar smell, weight: 5%;

[0104] Image recognition analysis (P t ):

[0105] Dirt area coverage: Identify the coverage of oil and dust, and calculate the percentage of the stain area, weight: 40±2%;

[0106] Historical cleaning and delivery data:

[0107] Historical cleaning (Q): Cylinders that are frequently cleaned have lower dirty scores, and those that have not been cleaned for a long time have higher scores, weight: 15±2%;

[0108] Delivery data (S): Users with longer usage time and catering type have higher dirtiness assessment scores, weight: 5±1%.

[0109] In this embodiment, the calculation formula of the comprehensive dirtiness score (H) of the cylinder is:

[0110] H=(P s ×30%)+(P t ×40%)+(Q×15%)+(S×5%)+[(K+T)×10%]

[0111] When H is between 0 and 20, the cylinder surface is extremely slightly contaminated: the surface is smooth, with a small amount of dust or stains, and the cleaning time is the shortest;

[0112] When H is between 21 and 40, the surface of the cylinder is slightly contaminated: light oil pollution, requiring medium-intensity cleaning;

[0113] When H is between 41 and 60, the cylinder surface is moderately polluted: obvious oil and stains, which require a long time to clean;

[0114] When H is between 61 and 80, the surface of the cylinder is seriously polluted: a lot of oil, rough surface, and high-intensity cleaning is required;

[0115] When H is between 81 and 100, the surface of the cylinder is extremely polluted: the surface is covered with oil and rust, and the strongest cleaning mode is required.

[0116] In this embodiment, a cleaning time calculation model is provided in the dirt rating module, and the time required for cleaning the cylinder is calculated according to the degree of contamination on the surface of the cylinder, and the instruction is transmitted to the cleaning device through the data processing system to clean the surface of the cylinder. The calculation formula for the cleaning time of the cylinder is:

[0117] T=k×H / C

[0118] Wherein, T is the time required for cylinder cleaning; k is the empirical coefficient, which is based on the performance of the cleaning equipment, the type and concentration of the cleaning agent, and its reasonable range is obtained through experiments, with a value of 10%; C is the cleaning efficiency of the cleaning equipment (derived from previous cylinder cleaning data, with a value of 95%).

[0119] A method for using a cylinder contaminant determination system based on the Internet of Things comprises the following steps:

[0120] S1. Read the cylinder data through the electronic tag reader / writer set in the data reading module, and obtain the historical cleaning data, historical distribution data, gas delivery worker evaluation data and image data of the cylinder from the data collection module;

[0121] S2. Read the cylinder data according to the electronic tag reader to obtain whether the cylinder is a residential user or a catering user, a single-purpose cylinder or a multi-purpose cylinder, and whether a single cylinder is used or multiple cylinders are used at the same time, so as to score the cylinder;

[0122] S3, the weight calculation model calculates the weight of the cylinder surface pollution according to the data obtained by the data reading module and the data collection module, and rates the cylinder pollution degree through the dirt rating module, and then transmits the rating data to the cleaning time calculation model;

[0123] S4. The cleaning time calculation model receives the data obtained by the weight calculation model, calculates the time required for cleaning the cylinder, transmits the result to the cleaning equipment, and uses the cleaning equipment to clean the cylinder.

[0124] Example 1: Severely contaminated steel cylinders for catering users

[0125] After the electronic tags of the steel cylinders of catering users are read and data analyzed, the following data is obtained:

[0126] -Gas delivery worker evaluation (Ps): 75 points

[0127] -Image Recognition Analysis (Pt): 80 points

[0128] -Historical cleaning data (Q): 60 minutes

[0129] - Delivery data(S): 70 points

[0130] -Customer type (K): 70 points (catering users)

[0131] -Use environment (T): 65 points (multi-purpose cylinder)

[0132] Calculated according to the comprehensive dirtiness score formula:

[0133] H=(75×30%)+(80×40%)+(60×15%)+(70×5%)+[(70+65)×10%]=80.5

[0134] H is between 61 and 81, and the cylinder is at a severe pollution level;

[0135] According to the cleaning time calculation formula, assuming k = 10%, C = 95%, H = 80.5, the cleaning time T of the cleaning equipment is 8.47 minutes.

[0136] Example 2: Slightly contaminated cylinders for catering users

[0137] After the electronic tags of the steel cylinders of catering users are read and data analyzed, the following data is obtained:

[0138] -Gas delivery worker evaluation (Ps): 30 points

[0139] -Image Recognition Analysis (Pt): 30 points

[0140] -Historical cleaning data (Q): 40 minutes

[0141] - Delivery data(S): 60 minutes

[0142] -Customer type (K): 40 points (catering users)

[0143] -Use environment (T): 50 points (multi-purpose cylinder)

[0144] Calculated according to the comprehensive dirtiness score formula:

[0145] H=(30×30%)+(30×40%)+(40×15%)+(60×5%)+[(40+50)×10%]=39

[0146] H is between 21 and 40, and the cylinder is slightly contaminated;

[0147] According to the cleaning time calculation formula, assuming k = 10%, C = 95%, H = 39, the cleaning time T of the cleaning equipment is 4.1 minutes

[0148] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention also fall within the protection scope of the present invention.

Claims

1. A cylinder contaminant determination system based on the Internet of Things, comprising a data collection module, a data reading module, a data processing module, a weight calculation model and a contamination rating module, characterized in that: Data collection module: used to collect and store historical cleaning data, distribution data, gas delivery worker evaluation data and image data of cylinders; Data reading module: used to read the cylinder information through the electronic tag reader and writer, and obtain the corresponding data from the data collection module; Weight calculation model: used to calculate the degree of contamination on the cylinder surface based on the acquired data; Dirt rating module: used to rate the surface contamination of cylinders based on the results of the weight calculation model; Data processing module: used to receive and process data from each module and transmit the cylinder pollution rating to the outside.

2. The steel cylinder pollutant determination system based on the Internet of Things according to claim 1 is characterized by: The data collection module includes historical cleaning data, historical delivery data, gas delivery worker evaluation data, and photographic image data; Historical cleaning data: When cleaning cylinders in the past, the electronic tag reader / writer reads the ultra-high frequency electronic tags set on the surface of the cylinders from a long distance to identify the cylinders and record the cleaning data of the cylinders; Historical delivery data: When delivering cylinders in the past, the QR code on the surface of the cylinders is scanned by mobile phone to identify the cylinders and record the delivery data of the cylinders; Gas delivery worker evaluation data: When the gas delivery worker is inspecting, the QR code on the surface of the cylinder is scanned by mobile phone to identify the cylinder and record the gas delivery worker evaluation data; Photographic image data: Scan the QR code on the surface of the cylinder with a mobile phone to identify the cylinder and record the inspection image data taken by the customer.

3. The steel cylinder pollutant determination system based on the Internet of Things according to claim 1 is characterized in that: The cylinders are divided into residential users and catering users according to the type of customers (K) they are used for; Residential users: Usage environment: The usage environment is relatively clean. Dirt mainly comes from cooking fumes and water stains, and the degree of dirtiness is relatively light. Scoring weight: Closed environment (with cabinets): low degree of dirtiness, score range: 20-30; Open environment (no cabinets): slightly higher degree of dirtiness, score range: 30-50; Catering users: Use environment: The use environment is full of oil smoke, high temperature and high humidity. The cylinder is exposed to a highly polluted environment for a long time, and the degree of dirtiness is significantly higher; Scoring weight: Highly polluted environment: score range: 60-80; Low-pollution and semi-polluted environment: Score range: 40-60.

4. The steel cylinder pollutant determination system based on the Internet of Things according to claim 3 is characterized by: The cylinders are divided into cylinder usage score and multi-cylinder environment score according to the usage environment (T) in which they are used; Use of cylinders: For water heaters: the environment is relatively clean and the degree of dirtiness is low, the score range is 10-20; Multi-purpose cylinders: exposed to the kitchen environment for a long time and frequently used, with a high degree of dirtiness, score range: 50-70; Multi-cylinder environment: Single bottle use: It is used in a standardized manner at home, with low soiling, and the score range is 20-30; Multiple cylinders in use: When multiple cylinders are in use, spare cylinders are usually kept. Spare cylinders stay in the kitchen longer and are more dirty. The score range is 60-80. The weight of the type of customer and the use environment of the cylinder is 10±2%.

5. The steel cylinder pollutant determination system based on the Internet of Things according to claim 1 is characterized by: The cylinder surface contamination degree coefficient includes gas delivery worker evaluation, image recognition analysis, and historical cleaning and delivery data; Gas delivery worker evaluation (P s ): Appearance: rust degree, oil coverage area, number of scratches, 15±2%; Touch: surface smoothness, stickiness, weight: 10±1%; Odor: whether there is any peculiar smell, weight: 5%; Image recognition analysis (P t ): Dirt area coverage: Identify the coverage of oil and dust, and calculate the percentage of the stain area, weight: 40±2%; Historical cleaning and delivery data: Historical cleaning (Q): Cylinders that are frequently cleaned have lower dirty scores, and those that have not been cleaned for a long time have higher scores, weight: 15±2%; Delivery data (S): Users with longer usage time and catering type have higher dirtiness assessment scores, weight: 5±1%.

6. A cylinder contaminant determination system based on the Internet of Things according to claim 3, 4 or 5, characterized in that: The calculation formula for the comprehensive dirtiness score (H) of the cylinder is: H=(P s ×30%)+(P t ×40%)+(Q×15%)+(S×5%)+[(K+T)×10%] When H is between 0 and 20, the cylinder surface is extremely slightly contaminated: the surface is smooth, with a small amount of dust or stains, and the cleaning time is the shortest; When H is between 21 and 40, the surface of the cylinder is slightly contaminated: light oil pollution, requiring medium-intensity cleaning; When H is between 41 and 60, the cylinder surface is moderately polluted: obvious oil and stains, which require a long time to clean; When H is between 61 and 80, the surface of the cylinder is seriously polluted: a lot of oil, rough surface, and high-intensity cleaning is required; When H is between 81 and 100, the surface of the cylinder is extremely polluted: the surface is covered with oil and rust, and the strongest cleaning mode is required.

7. The cylinder contaminant determination system based on the Internet of Things according to claim 1 is characterized by: The dirt rating module is provided with a cleaning time calculation model, which calculates the time required for cleaning the cylinder according to the degree of contamination on the cylinder surface, and transmits instructions to the cleaning equipment through the data processing system to clean the cylinder surface. The calculation formula for the cylinder cleaning time is: T=k×H / C Wherein, T is the time required for cylinder cleaning; k is the empirical coefficient, which is based on the performance of the cleaning equipment, the type and concentration of the cleaning agent, and its reasonable range is obtained through experiments, with a value of 10-20%; C is the cleaning efficiency of the cleaning equipment.

8. A steel cylinder pollutant determination system based on the Internet of Things, comprising a method for using a steel cylinder pollutant determination system based on the Internet of Things according to any one of claims 1 to 7, characterized in that: The following steps are involved: S1. Read the cylinder data through the electronic tag reader / writer set in the data reading module, and obtain the historical cleaning data, historical distribution data, gas delivery worker evaluation data and image data of the cylinder from the data collection module; S2. Read the cylinder data according to the electronic tag reader to obtain whether the cylinder is a residential user or a catering user, a single-purpose cylinder or a multi-purpose cylinder, and whether a single cylinder is used or multiple cylinders are used at the same time, so as to score the cylinder; S3, the weight calculation model calculates the weight of the cylinder surface pollution according to the data obtained by the data reading module and the data collection module, and rates the cylinder pollution degree through the dirt rating module, and then transmits the rating data to the cleaning time calculation model; S4. The cleaning time calculation model receives the data obtained by the weight calculation model, calculates the time required for cleaning the cylinder, transmits the result to the cleaning equipment, and uses the cleaning equipment to clean the cylinder.

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