Cleaning control method and system for commercial kitchen oil smoke pipeline

Abstract

The invention discloses a cleaning control method and system for a commercial kitchen oil smoke pipeline, and relates to the technical field of cleaning control, and the method comprises the following specific steps: firstly, carrying out cleaning control, collecting kitchen oil smoke use data and pipeline dirt data, setting a steam cleaning preset period according to the kitchen use data, analyzing the pipeline dirt data to set a detergent cleaning period; secondly, steam cleaning control is conducted, kitchen gas use data are collected, a steam cleaning heat regulation and control scheme is set based on preset cycle analysis, dirt data are collected after cleaning, and steam cleaning is controlled according to an analysis result; then, washing liquid control: collecting steam sewage data to set a washing agent cleaning scheme, and collecting dirt data after cleaning to carry out washing liquid cleaning control; and finally, a detergent is regulated and controlled, steam and washing liquid use data are collected, double-cleaning-scheme combined control is achieved, and the high efficiency and reasonability of commercial kitchen oil smoke pipeline cleaning control are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cleaning control, and particularly to a cleaning control method and system for commercial kitchen oil fume pipelines. Background Art

[0002] In the field of commercial kitchens, the cleaning of oil fume pipelines is of utmost importance. With the rapid development of the catering industry, the usage frequency of commercial kitchens has increased significantly, and the accumulation of oil stains and dirt in the oil fume pipelines has been increasing day by day. Therefore, a cleaning control method and system for commercial kitchen oil fume pipelines are needed.

[0003] Traditional cleaning methods for oil fume pipelines mostly rely on manual cleaning at regular intervals, and there are problems with unreasonable setting of cleaning cycles. Either the cleaning is too frequent, resulting in waste of resources, or the interval is too long, leading to pipeline blockage, poor smoke exhaust, and even potential safety hazards such as fires.

[0004] During the existing cleaning process, the regulation of the temperature and duration of steam cleaning lacks scientific basis and it is difficult to achieve the best cleaning effect; the selection and dosage of detergents are also relatively arbitrary, which may not only fail to effectively remove dirt, but also cause environmental pollution and cost waste. In addition, the two methods of steam cleaning and detergent cleaning are often carried out independently without forming effective coordinated control, resulting in low cleaning efficiency and economy.

[0005] During the existing cleaning process, the control of steam cleaning is not linked to the gas usage data of commercial kitchens, and the utilization of the cooling water beside the gas in commercial kitchens cannot be efficiently utilized. By using the cooling water, the steam heating energy consumption of steam cleaning can be reduced, thereby reducing energy consumption. When the existing cleaning control does not use gas usage data for the control of steam cleaning, the energy consumption is increased, thereby increasing the cleaning cost. Summary of the Invention

[0006] Aiming at the above existing technical deficiencies, the purpose of the present invention is to provide a cleaning control method and system for commercial kitchen oil fume pipelines.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a cleaning control method for commercial kitchen oil fume pipelines, including the following steps: Step 1, cleaning control: Collect kitchen oil fume usage data and pipeline dirt data, set a preset steam cleaning cycle according to the kitchen usage data, and analyze the pipeline dirt data based on the steam cleaning cycle to set the detergent cleaning cycle.

[0008] Step 2. Steam cleaning control: Collect kitchen gas usage data, analyze the kitchen gas usage data based on the preset steam cleaning cycle, set the steam cleaning heat regulation plan. After using the steam cleaning heat regulation plan, collect the steam cleaning pipeline dirt data, analyze the steam cleaning pipeline dirt data, and perform steam cleaning control according to the analysis results.

[0009] Step 3. Detergent control: Collect steam sewage data, set the detergent cleaning plan according to the steam sewage data, collect the pipeline dirt data after detergent cleaning, and perform detergent cleaning control according to the pipeline dirt data after detergent cleaning.

[0010] Step 4. Detergent regulation: Collect steam usage data and detergent usage data, and perform combined control of the double cleaning plan according to the steam usage data and detergent usage data.

[0011] Preferably, the steam cleaning control is specifically as follows: If the steam usage efficiency change index collected during a certain steam cleaning is greater than the upper limit of the standard steam usage efficiency change index range during steam cleaning, it indicates that this steam cleaning is an efficient cleaning. Thus, each efficient cleaning is obtained, and then the temperature of each efficient cleaning is obtained. If the steam usage efficiency change index collected during a certain steam cleaning is less than the lower limit of the standard steam usage efficiency change index range during steam cleaning, it indicates that this steam cleaning is an inefficient cleaning. Thus, each inefficient cleaning is obtained.

[0012] If the temperature of a certain efficient cleaning is greater than the average temperature, it indicates that this cleaning is a high-temperature efficient cleaning. Thus, each high-temperature efficient cleaning is obtained, and the number of high-temperature efficient cleanings is statistically obtained. If the number of high-temperature efficient cleanings is less than the preset number of high-temperature effective cleanings, reduce the steam temperature of subsequent steam cleanings by a preset unit temperature. If the number of high-temperature efficient cleanings is greater than the preset number of high-temperature effective cleanings, increase the steam temperature of subsequent steam cleanings by a preset unit temperature.

[0013] Statistically analyze each inefficient cleaning to obtain the number of inefficient cleanings. If the number of inefficient cleanings is greater than the preset number of steam effective cleanings, reduce the steam duration of subsequent steam cleanings by a preset unit duration. If the number of inefficient cleanings is greater than the preset number of steam efficient cleanings, increase the steam duration of subsequent steam cleanings by a preset unit duration.

[0014] On the other hand, the present invention provides a cleaning control system for a commercial kitchen fume pipeline, including the following modules: a cleaning control module, configured to collect kitchen fume usage data and pipeline dirt data, set a preset steam cleaning cycle according to the kitchen usage data, analyze the pipeline dirt data based on the steam cleaning cycle, and set a detergent cleaning cycle.

[0015] The steam cleaning control module is used to collect kitchen gas usage data, analyze the kitchen gas usage data based on the preset steam cleaning cycle, set the steam cleaning heat regulation plan. After using the steam cleaning heat regulation plan, it collects the steam cleaning pipeline dirt data and conducts steam cleaning control according to the steam cleaning pipeline dirt data.

[0016] The washing liquid control module is used to collect steam sewage data, set the detergent cleaning plan according to the steam sewage data, collect the pipeline dirt data after detergent cleaning, and conduct washing liquid cleaning control according to the pipeline dirt data after detergent cleaning.

[0017] The detergent regulation module is used to collect steam usage data and washing liquid usage data, and conduct combined control of the double cleaning plan according to the steam usage data and washing liquid usage data.

[0018] The beneficial effects of the present invention are as follows: 1. The present invention first conducts cleaning control, collects kitchen fume usage data and pipeline dirt data, sets the preset steam cleaning cycle based on the kitchen usage data, and analyzes the pipeline dirt data accordingly to set the detergent cleaning cycle; then is the steam cleaning control, collects kitchen gas usage data, analyzes and sets the steam cleaning heat regulation plan based on the preset cycle, collects the dirt data after cleaning and controls the steam cleaning according to the data analysis result; then is the washing liquid control, collects steam sewage data to set the detergent cleaning plan, and conducts washing liquid cleaning control by collecting the dirt data after cleaning; finally, conducts detergent regulation, collects steam and washing liquid usage data to realize combined control of the double cleaning plan, improving the efficiency and rationality of the cleaning control of commercial kitchen fume pipelines.

[0019] 2. The present invention sets the steam cleaning heat regulation plan based on the kitchen gas usage data and conducts steam cleaning control according to the steam cleaning pipeline dirt data, which can dynamically adjust the temperature and duration of steam cleaning, keep the steam cleaning in an efficient state all the time, improve the steam usage efficiency, avoid energy waste, and at the same time improve the cleaning effect to ensure the effective removal of dirt in the pipeline.

[0020] 3. The present invention sets the detergent cleaning plan according to the steam sewage data and conducts washing liquid cleaning control according to the pipeline dirt data after detergent cleaning, which can reasonably select the type of detergent and control its concentration and dosage. On the one hand, it can effectively remove pipeline dirt, on the other hand, it reduces the environmental pollution of the detergent, reduces the detergent usage cost, and realizes the balance of cleaning effect, environmental protection and cost.

[0021] 4. The present invention controls the dual cleaning solution by collecting steam usage data and cleaning liquid usage data, and can dynamically adjust the cleaning interval duration and usage amount according to the energy-saving benefits and pollution control benefits of the two cleaning methods, improving the overall cleaning efficiency, realizing the optimal allocation of resources, and reducing the energy consumption and pollution of the commercial kitchen oil fume duct cleaning. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0023] Figure 1 It is a schematic flow chart of the implementation steps of the method of the present invention.

[0024] Figure 2 It is a schematic connection diagram of the system structure of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.

[0026] According to Figure 1 As shown, the present invention provides a cleaning control method for a commercial kitchen oil fume duct, including the following steps: Step 1, cleaning control: Collect kitchen oil fume usage data and pipeline dirt data, set a preset steam cleaning cycle according to the kitchen usage data, and analyze the pipeline dirt data based on the steam cleaning cycle to set a detergent cleaning cycle.

[0027] In a specific embodiment, the collection of the kitchen oil fume usage data and the pipeline dirt data is as follows: The kitchen oil fume usage data includes the opening frequency of the range hood and the gas absorption amount of each time the range hood absorbs. The opening duration of the range hood within a preset duration is collected through the sensor of the range hood switch, and the opening frequency of the range hood is obtained by dividing the opening duration of the range hood by the preset duration. The gas absorption amount of each time the range hood absorbs is collected through the gas turbine flowmeter of the range hood.

[0028] The pipeline dirt data includes the pipeline gas adsorption amount, pipeline gas flow rate, and pipeline gas oil fume concentration for each pipeline use. The gas oil fume concentrations at the beginning and end of the pipeline for each pipeline use are collected by the light scattering method. The gas oil fume concentration at the beginning of the pipeline for each pipeline use is recorded as the pipeline gas oil fume concentration. At the same time, the gas oil fume concentration at the beginning section of the pipeline for each pipeline use is subtracted from the gas oil fume concentration at the end of the pipeline to obtain the pipeline gas adsorption amount for each pipeline use. The pipeline gas flow rate for each pipeline use is collected by the gas turbine flowmeter of the pipeline.

[0029] In a specific embodiment, the setting of the steam cleaning preset period is as follows: Substitute the range hood opening frequency and the gas absorption amount of each range hood into the range hood usage index calculation formula to obtain the current range hood usage index. Obtain the oil fume steam cleaning interval duration of each range hood usage index from the database, and then obtain the oil fume steam cleaning interval duration corresponding to the current range hood usage index. The steam cleaning preset period is: Set the oil fume steam cleaning interval duration as the interval duration of the steam cleaning preset period.

[0030] It should be noted that the range hood usage index calculation formula is:

[0031] Among them, α1 is the current range hood usage index, A1 is the range hood opening frequency, A 2a is the gas absorption amount of the range hood for the a-th time, a is the number of each range hood absorption process, a = 1, 2... m, m > 2, and the value of m is the total number of range hood absorption processes. A′1 and A′2 are the preset standard range hood opening frequency and standard gas absorption amount of the range hood respectively, and ε1 and ε2 are the preset range hood opening frequency weight factor and gas absorption amount weight factor respectively. ε1 > 0, ε2 > 0, and ε1 + ε2 = 1.

[0032] The standard range hood opening frequency and the standard gas absorption amount of the range hood are the range hood opening frequency threshold and the gas absorption amount threshold during the normal range hood use process respectively. When the range hood opening frequency is greater than the threshold, it indicates that the usage duration of the range hood exceeds the standard and more oil fume stains are generated. When the gas absorption amount of the range hood is greater than the threshold, it indicates that the oil fume gas absorbed by the range hood exceeds the standard and more pipeline oil fume stains remain. The specific values are set by the staff. For example, A′1 is 0.9 and A′2 is 0.8. The setting process of the weight factors ε1 and ε2 is related to the oil fume generation rate. The faster the oil fume generation rate, the larger ε1 is, and the slower the oil fume generation rate, the larger ε2 is. The specific values are set by the staff. For example, ε1 is 0.55 and ε1 is 0.45.

[0033] In a specific embodiment, the setting of the detergent cleaning cycle is as follows: Substitute the interval duration of oil fume steam cleaning, the pipeline gas adsorption amount used each time for the pipeline, the pipeline gas flow rate used each time for the pipeline, and the pipeline gas oil fume concentration used each time for the pipeline into the pipeline usage index calculation formula to obtain the current pipeline usage index. Obtain the detergent cleaning interval duration of each pipeline usage index from the database, and then obtain the detergent cleaning interval duration corresponding to the current pipeline usage index. The preset detergent cleaning cycle is: Set the detergent cleaning interval duration as the interval duration of the preset detergent cycle.

[0034] It should be noted that the pipeline usage index calculation formula is:

[0035] where α2 is the current pipeline usage index, B 1b , B 2b and B 1b are respectively the pipeline gas adsorption amount, pipeline gas flow rate, and pipeline gas oil fume concentration used for the bth pipeline usage. b is the number of each pipeline usage process, b = 1, 2... n, n > 2, and the value of n is the total number of pipeline usage processes. B′1, B′2, and B′3 are respectively the preset standard pipeline gas adsorption amount, standard pipeline gas flow rate, and standard pipeline gas oil fume concentration. and are respectively the preset pipeline gas adsorption amount weight factor, pipeline gas flow rate weight factor, and pipeline gas oil fume concentration weight factor.

[0036] L is the interval duration of oil fume steam cleaning, and L′ is the standard interval duration of oil fume steam cleaning.

[0037] The setting process of the standard parameters B′1, B′2, B′3, and L′ is the same as the setting process of the standard parameters, and they are all set by the staff. For example, B′1 is 0.75, B′2 is 0.87, B′3 is 0.82, and L′ is 0.72. The setting process of the weight factors and is the same as the setting process of the weight factor ε1, and they are all set by the staff. For example, is 0.3, is 0.3, and is 0.4.

[0038] Step 2: Steam cleaning control: Collect kitchen gas usage data, analyze the kitchen gas usage data based on the preset steam cleaning cycle, set a steam cleaning heat regulation plan. After using the steam cleaning heat regulation plan, collect steam cleaning pipeline dirt data, analyze the steam cleaning pipeline dirt data, and perform steam cleaning control according to the analysis results.

[0039] In a specific embodiment, the collection of kitchen gas usage data is carried out as follows: The kitchen gas usage data includes the number of gas usages, the gas usage amount, and the cooling water circulation amount within a preset time period. The number of gas usages within the preset time period is collected through the switch sensor of the gas stove valve, the gas usage amount within the preset time period is collected through the eddy current sensor of the gas valve of the gas stove, and the cooling water circulation amount within the preset time period is collected through the liquid eddy current sensor of the cooling water valve of the gas stove.

[0040] It should be noted that the cooling water is the cooling water for the commercial kitchen stove. The commercial kitchen stove is cooled by the cooling water beside the stove flame to prevent the stove from overheating and damaging the kitchen utensils. At the same time, the heated cooling water can be reheated into steam, reducing the energy consumption of steam cleaning, thereby saving energy and increasing the environmental protection of cleaning.

[0041] In a specific embodiment, the setting of the steam cleaning heat regulation scheme is carried out as follows: Substitute the number of gas usages, the gas usage amount, and the cooling water circulation amount within the preset time period into the gas usage index calculation formula to obtain the current gas usage index.

[0042] It should be noted that the gas usage index calculation formula is:

[0043] Among them, β1 is the current gas usage index, C1, C2, and C3 are the number of gas usages, the gas usage amount, and the cooling water circulation amount within the preset time period, C′1, C′2, and C′3 are the preset standard number of gas usages, standard gas usage amount, and standard cooling water circulation amount, δ1, δ2, and δ3 are the preset gas usage number weight factor, gas usage amount weight factor, and cooling water circulation amount weight factor, δ1 > 0, δ2 > 0, δ3 > 0, and δ1 + δ2 + δ3 = 1.

[0044] The setting process of the standard parameters C′1, C′2, and C′3 is the same as the setting process of the standard parameters, all set by the staff. For example, C′1 is 0.7, C′2 is 0.8, and C′3 is 0.8. The setting process of the weight factors δ1, δ2, and δ3 is the same as the setting process of the weight factor ε1, all set by the staff. For example, δ1 is 0.3, δ2 is 0.3, and δ3 is 0.4.

[0045] The steam cleaning heat regulation scheme is as follows: Obtain the gas usage index corresponding to the remaining duration of the current steam cleaning cycle from the database. If the current gas usage index is greater than the gas usage index, the steam cleaning of the current steam cleaning cycle is carried out in advance, and the advance duration is the preset standard unit duration. If the current gas usage index is less than the gas usage index, the steam cleaning of the current steam cleaning cycle is postponed, and the postponed duration is the preset standard unit duration.

[0046] In a specific embodiment, the process of collecting the dirt data of the steam cleaning pipeline is as follows: The dirt data of the steam cleaning pipeline includes the pipeline dirt color change index, the dirt concentration index of the pipeline steam cleaning water, and the steam temperature collected each time during steam cleaning. Pipeline pictures before and after each collection during steam cleaning are collected through a camera, and the pipeline dirt color index before and after each collection during steam cleaning is obtained through image recognition technology. Subtract the pipeline dirt color index before each collection during steam cleaning from the corresponding pipeline dirt color index after the collection, and then divide it by the pipeline dirt color index before the corresponding collection to obtain the pipeline dirt color change index for each collection during steam cleaning. The dirt concentration for each collection during steam cleaning is collected through a turbidimeter, and the steam temperature for each collection during steam cleaning is collected through a temperature sensor.

[0047] It should be noted that the pipeline dirt color index is the quantitative value of the color difference of the pipeline dirt picture. The dirt color index of each standard pipeline dirt picture is preset. The more dirt there is, the larger the dirt color index. Through image recognition technology for picture matching, the pipeline dirt color index for each collection is obtained.

[0048] In a specific embodiment, the analysis of the dirt data of the steam cleaning pipeline is as follows: Substitute the pipeline dirt color index and the dirt concentration index of the pipeline steam cleaning water collected each time during steam cleaning into the steam usage efficiency index calculation formula to obtain the steam usage efficiency index for each collection during steam cleaning.

[0049] It should be noted that the steam usage efficiency index calculation formula is:

[0050] where, β 2d is the steam usage efficiency index for the dth collection during steam cleaning, d is the serial number of each collection process during steam cleaning, the value of d is a positive integer, e is the natural constant, D 1d and D 2d are respectively the pipeline dirt color index and the dirt concentration index of the pipeline steam cleaning water for the dth collection during steam cleaning, D′1 and D′2 are respectively the preset standard pipeline dirt color index and the standard dirt concentration index of the pipeline steam cleaning water, λ1 and λ2 are respectively the preset pipeline dirt color index weight factor and the dirt concentration index weight factor of the pipeline steam cleaning water, λ1 > 0, λ2 > 0, and λ1 + λ2 = 1.

[0051] The setting process of the standard parameters D′1 and D′2 is the same as the setting process of the standard parameters, both are set by the staff. For example, D′1 is 0.85 and D′2 is 0.82. The setting process of the weight factors λ1 and λ2 is the same as the setting process of the weight factor ε1, both are set by the staff. For example, λ1 is 0.3 and λ2 is 0.7.

[0052] Fit the steam usage efficiency collected each time during steam cleaning into a curve graph according to the time axis to obtain the steam cleaning usage efficiency index curve graph. Obtain the slope of each collection during steam cleaning from the steam cleaning usage efficiency index curve graph, and obtain the steam usage efficiency change index corresponding to each slope from the database to get the steam usage efficiency change index of each collection during steam cleaning. Calculate the mean to obtain the average steam usage efficiency change index.

[0053] Calculate the mean of the temperatures collected each time during steam cleaning to obtain the average temperature during steam cleaning. Obtain the deviation difference of the steam usage efficiency change index corresponding to each average temperature from the database to get the deviation difference of the steam usage efficiency change index. Based on the average steam usage efficiency change index and the deviation difference of the steam usage efficiency change index, obtain the standard steam usage efficiency change index range during steam cleaning.

[0054] It should be noted that the deviation difference of the steam usage efficiency change index is the specific value of the fluctuation range of the steam usage efficiency change index.

[0055] In a specific embodiment, the steam cleaning control is as follows: If the steam usage efficiency change index of a certain collection during steam cleaning is greater than the upper limit of the standard steam usage efficiency change index range during steam cleaning, it indicates that the steam cleaning of this collection is highly efficient cleaning. Thus, obtain each highly efficient cleaning, and further obtain the temperature of each highly efficient cleaning. If the steam usage efficiency change index of a certain collection during steam cleaning is less than the lower limit of the standard steam usage efficiency change index range during steam cleaning, it indicates that the steam cleaning of this collection is inefficient cleaning. Thus, obtain each inefficient cleaning.

[0056] If the temperature of a certain highly efficient cleaning is greater than the average temperature, it indicates that this cleaning is high-temperature highly efficient cleaning. Thus, obtain each high-temperature highly efficient cleaning, and count the number of high-temperature highly efficient cleanings. If the number of high-temperature highly efficient cleanings is less than the preset number of high-temperature effective cleanings, reduce the steam temperature of the subsequent steam cleaning by a preset unit temperature. If the number of high-temperature highly efficient cleanings is greater than the preset number of high-temperature effective cleanings, increase the steam temperature of the subsequent steam cleaning by a preset unit temperature.

[0057] Count each inefficient cleaning to obtain the number of inefficient cleanings. If the number of inefficient cleanings is greater than the preset number of steam effective cleanings, reduce the steam duration of the subsequent steam cleaning by a preset unit duration. If the number of inefficient cleanings is greater than the preset number of steam highly efficient cleanings, increase the steam duration of the subsequent steam cleaning by a preset unit duration.

[0058] Step 3, Washing Liquid Control: Collect steam sewage data, set a detergent cleaning plan based on the steam sewage data, collect pipeline dirt data after detergent cleaning, and perform washing liquid cleaning control based on the pipeline dirt data after detergent cleaning.

[0059] In a specific embodiment, the process of collecting steam sewage data is as follows: The steam sewage data is the concentration of each oil fume pollutant in the current sewage. Analyze the sample of the current sewage by chromatography to obtain the concentration of each oil fume pollutant in the current sewage.

[0060] In a specific embodiment, the process of setting a detergent cleaning plan is as follows: Vectorize the data corresponding to the concentration of each oil fume pollutant in the current sewage to obtain the current sewage pollutant feature vector.

[0061] Obtain the pollutant feature vectors of each pollution experiment scenario from the database, calculate the cosine similarity between the current sewage pollutant feature vector and the pollutant feature vectors of each pollution experiment scenario to obtain the similarity of each pollution experiment scenario of the current sewage pollutant. Obtain the characteristic surfactants of each pollution experiment scenario from the database, sort the characteristic surfactants of each pollution experiment scenario in descending order according to the corresponding similarity to obtain the sequence of each surfactant. Denote the surfactant ranked first in the sequence as the main surfactant of the current pipeline, and denote the surfactants in the first preset number in the sequence as the auxiliary surfactants of the current pipeline.

[0062] It should be noted that the characteristic surfactant is the surfactant with the highest benefit in the pollution experiment scenario. The lower the cost of the surfactant for cleaning the same pollution amount in the pollution experiment scenario, the higher the corresponding surfactant benefit. The surfactant cost includes the usage cost and the treatment cost. The usage cost is the product of the surfactant usage amount and the purchase cost, and the treatment cost is the product of the treatment agent usage amount and the purchase cost.

[0063] The detergent cleaning plan is as follows: Denote the main surfactant and each auxiliary surfactant of the current pipeline as each used surfactant, prepare the detergent by mixing each used surfactant according to a preset standard concentration, and perform detergent washing.

[0064] In a specific embodiment, the process of collecting pipeline dirt data after detergent cleaning is as follows: The pipeline dirt data after detergent cleaning includes the color change index of the pipeline dirt after washing and the color change index of the cleaning water.

[0065] Collect pipeline pictures before and after washing through a camera, obtain the pipeline dirt color index before and after washing through image recognition technology, subtract the pipeline dirt color index after washing from the pipeline dirt color index before washing, and then divide by the pipeline dirt color index before washing to obtain the pipeline dirt color change index of washing.

[0066] Collect the cleaning water pictures after washing and the cleaning water pictures at the last time of washing through a camera, obtain the cleaning water dirt color index after washing and the cleaning water dirt color index at the last time of washing through image recognition technology, subtract the cleaning water dirt color index at the last time of washing from the cleaning water dirt color index after washing, and then divide by the cleaning water dirt color index at the last time of washing to obtain the cleaning water color change index after washing.

[0067] It should be noted that after washing, clean water is passed through again for washing verification. The cleaning water at the last time of washing is the cleaning water at the last cleaning during single - detergent cleaning, and the cleaning water after washing is the cleaning water for washing verification. The larger the cleaning water dirt color index, the greater the pollution amount of the sewage, and the smaller the cleaning water color change index, the more excessive the current cleaning is.

[0068] In a specific embodiment, the control of washing liquid cleaning is as follows: Obtain the standard pipeline dirt color change index and the standard cleaning water color change index from the database. If the pipeline dirt color change index after washing is greater than or equal to the standard pipeline dirt color change index, it indicates that the current detergent concentration is normal. If the pipeline dirt color change index after washing is less than the standard pipeline dirt color change index, it indicates that the current detergent concentration is abnormal. If the cleaning water color change index after washing is greater than or equal to the standard cleaning water color change index, it indicates that the current detergent dosage is normal. If the cleaning water color change index after washing is less than the standard cleaning water color change index, it indicates that the current detergent dosage is abnormal.

[0069] The control of washing liquid cleaning is: If the concentration and dosage of the current washing liquid are normal, increase the concentration of each auxiliary surfactant in the detergent by a preset percentage. If the concentration of the current washing liquid is normal and the dosage is abnormal, reduce the concentration of each auxiliary surfactant in the detergent by a preset percentage. If the concentration of the current washing liquid is abnormal and the dosage is normal, increase the concentration of the main surfactant by a preset percentage. If the concentration and dosage of the current washing liquid are abnormal, reduce the concentration of the main surfactant by a preset percentage.

[0070] Step Four: Detergent Regulation: Collect steam usage data and washing liquid usage data, and perform joint control of the double - cleaning scheme according to the steam usage data and the washing liquid usage data.

[0071] In a specific embodiment, the data of steam usage and the data of cleaning liquid usage are collected. The specific collection process is as follows: The data of steam usage includes the steam heating energy consumption and the average steam usage efficiency index for each steam cleaning within a preset time period. The steam heating energy consumption for each steam cleaning is collected through the control system of steam heating. The average steam usage efficiency index during steam cleaning is obtained by calculating the average value of the steam usage efficiency indexes collected each time during steam cleaning, and then the average steam usage efficiency index for each steam cleaning within the preset time period is obtained.

[0072] The data of cleaning liquid usage includes the consumption of polluted water treatment for each detergent cleaning and the pipeline dirt color change index within a preset time period. The consumption of polluted water treatment for each detergent cleaning within the preset time period is collected through the polluted water discharge treatment system of detergent cleaning water. The pipeline dirt color change index for each detergent cleaning within the preset time period is obtained from the pipeline dirt data after each detergent cleaning within the preset time period.

[0073] In a specific embodiment, the combined control of the double-cleaning scheme is carried out. The specific control process is as follows: The steam heating energy consumption and the average steam usage efficiency index for each steam cleaning within a preset time period are substituted into the calculation formula of the steam cleaning energy-saving benefit index to obtain the current steam cleaning energy-saving benefit index.

[0074] It should be noted that the calculation formula of the steam cleaning energy-saving benefit index is:

[0075] where γ1 is the current steam cleaning energy-saving benefit index, F 1f and F 2f are respectively the steam heating energy consumption and the average steam usage efficiency index for the f-th steam cleaning within the preset time period. f is the number of each steam cleaning process, f = 1, 2......i, i > 2, and the value of i is the total number of steam cleaning processes within the preset time period. F1′ and F2′ are respectively the preset standard steam heating energy consumption and the standard average steam usage efficiency index. and are respectively the preset steam heating energy consumption weight factor and the average steam usage efficiency index weight factor.

[0076]

[0077] The setting process of the standard parameters F1′ and F2′ is the same as the setting process of the standard parameters, and they are all set by the staff. For example, F1′ is 0.81 and F2′ is 0.72. The setting process of the weight factors and is the same as the setting process of the weight factor ε1, and they are all set by the staff. For example, is 0.4 and is 0.6.

[0078] Substitute the consumption of wastewater treatment and the change index of pipeline dirt color for each detergent cleaning within the preset time into the calculation formula of the washing liquid pollution control benefit index to obtain the current steam cleaning energy-saving benefit index.

[0079] It should be noted that the calculation formula of the washing liquid pollution control benefit index is:

[0080] Among them, γ2 is the current steam cleaning energy-saving benefit index, G 1g and G 2g are respectively the consumption of wastewater treatment and the change index of pipeline dirt color for the gth detergent cleaning within the preset time, g is the number of each detergent cleaning process, g = 1, 2... j, j > 2, and the value of j is the total number of detergent cleaning processes within the preset time. G′1 and G′2 are respectively the preset standard consumption of wastewater treatment and the preset standard change index of pipeline dirt color. θ1 and θ2 are respectively the preset weight factors of wastewater treatment consumption and the change index of pipeline dirt color. θ1 > 0, θ2 > 0, and θ1 + θ2 = 1.

[0081] The setting process of the standard parameters G′1 and G′2 is the same as that of the standard parameters, both are set by the staff. For example, G′1 is 0.8 and G′2 is 0.7. The setting process of the weight factors θ1 and θ2 is the same as that of the weight factor ε1, both are set by the staff. For example, θ1 is 0.46 and θ2 is 0.54.

[0082] If the current steam cleaning energy-saving benefit is greater than the current washing liquid pollution control benefit, reduce the steam cleaning interval time and reduce the usage amount of the washing liquid for washing liquid cleaning. If the current steam cleaning energy-saving benefit is less than the current washing liquid pollution control benefit, increase the steam cleaning interval time and increase the usage amount of the washing liquid for washing liquid cleaning.

[0083] According to Figure 2 shown, the present invention provides a cleaning control system for a commercial kitchen fume pipeline, including the following modules: a cleaning control module, a steam cleaning control module, a washing liquid control module, a detergent regulation module, and a database.

[0084] The steam cleaning control module is respectively connected to the cleaning control module and the washing liquid control module. The detergent regulation module is connected to the washing liquid control module. The cleaning control module, the steam cleaning control module, the washing liquid control module, and the detergent regulation module are all connected to the database.

[0085] The cleaning control module is used to collect kitchen fume usage data and pipeline dirt data, set a preset steam cleaning cycle according to the kitchen usage data, analyze the pipeline dirt data based on the steam cleaning cycle, and set a detergent cleaning cycle.

[0086] The steam cleaning control module is used to collect kitchen gas usage data, analyze the kitchen gas usage data based on the preset steam cleaning cycle, set a steam cleaning heat regulation plan, collect steam cleaning pipeline dirt data after using the steam cleaning heat regulation plan, and perform steam cleaning control according to the steam cleaning pipeline dirt data.

[0087] The washing liquid control module is used to collect steam sewage data, set a detergent cleaning plan according to the steam sewage data, collect pipeline dirt data after detergent cleaning, and perform washing liquid cleaning control according to the pipeline dirt data after detergent cleaning.

[0088] The detergent regulation module is used to collect steam usage data and washing liquid usage data, and perform joint control of the double cleaning plan according to the steam usage data and washing liquid usage data.

[0089] The database is used to store the fume steam cleaning interval duration of each range hood usage index, the detergent cleaning interval duration of each pipeline usage index, the gas usage index corresponding to the remaining duration of the current steam cleaning cycle, the steam usage efficiency change index corresponding to each slope, the offset difference of the steam usage efficiency change index corresponding to each average temperature, the pollutant characteristic vectors of each pollution experiment scenario, the characteristic surfactants of each pollution experiment scenario, the standard pipeline dirt color change index, and the standard cleaning water color change index.

[0090] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined by this specification, they should fall within the protection scope of the present invention.

Claims

1. A cleaning control method for a commercial kitchen fume duct, characterized in that, It includes the following steps: Step 1, cleaning control: Collect kitchen fume usage data and pipeline dirt data. According to the kitchen usage data, set the preset steam cleaning cycle. Based on the steam cleaning cycle, analyze the pipeline dirt data and set the detergent cleaning cycle; Step 2, steam cleaning control: Collect kitchen gas usage data. Based on the preset steam cleaning cycle, analyze the kitchen gas usage data and set the steam cleaning heat regulation plan. After using the steam cleaning heat regulation plan, collect the pipeline dirt data after steam cleaning, analyze the pipeline dirt data after steam cleaning, and perform steam cleaning control according to the analysis results; Step 3, washing liquid control: Collect steam sewage data. According to the steam sewage data, set the detergent cleaning plan. Collect the pipeline dirt data after detergent cleaning and perform washing liquid cleaning control according to the pipeline dirt data after detergent cleaning; Step 4, detergent regulation: Collect steam usage data and washing liquid usage data and perform combined control of the double cleaning plan according to the steam usage data and washing liquid usage data.

2. The cleaning control method for a commercial kitchen oil fume duct according to claim 1, wherein The setting of the preset steam cleaning cycle is specifically as follows: The kitchen fume usage data includes the range hood opening frequency and the gas absorption volume of the range hood each time. Substitute the range hood opening frequency and the gas absorption volume of the range hood each time into the range hood usage index calculation formula to obtain the current range hood usage index. Obtain the oil fume steam cleaning interval duration of each range hood usage index from the database, and then obtain the oil fume steam cleaning interval duration corresponding to the current range hood usage index. The preset steam cleaning cycle is: Set the oil fume steam cleaning interval duration as the interval duration of the preset steam cleaning cycle.

3. The cleaning control method of a commercial kitchen fume duct according to claim 2, characterized in that, The setting of the detergent cleaning cycle is specifically as follows: The pipeline dirt data includes the pipeline gas adsorption volume, pipeline gas flow rate, and pipeline gas oil fume concentration of each pipeline use. Substitute the oil fume steam cleaning interval duration, the pipeline gas adsorption volume of each pipeline use, the pipeline gas flow rate of each pipeline use, and the pipeline gas oil fume concentration of each pipeline use into the pipeline usage index calculation formula to obtain the current pipeline usage index. Obtain the detergent cleaning interval duration of each pipeline usage index from the database, and then obtain the detergent cleaning interval duration corresponding to the current pipeline usage index. The preset detergent cleaning cycle is: Set the detergent cleaning interval duration as the interval duration of the preset detergent cycle.

4. The cleaning control method of a commercial kitchen fume duct according to claim 3, characterized in that, The setting of the steam cleaning heat regulation plan is specifically as follows: The kitchen gas usage data includes the gas usage times, gas usage volume, and cooling water circulation volume within a preset duration. Substitute the gas usage times, gas usage volume, and cooling water circulation volume within the preset duration into the gas usage index calculation formula to obtain the current gas usage index; The steam cleaning heat regulation plan is as follows: Obtain the gas consumption index corresponding to the remaining duration of the current steam cleaning cycle from the database. If the current gas consumption index is greater than the gas consumption index, perform the steam cleaning of the current steam cleaning cycle in advance, and the advance duration is the preset standard unit duration. If the current gas consumption index is less than the gas consumption index, postpone the steam cleaning of the current steam cleaning cycle, and the postponement duration is the preset standard unit duration.

5. The cleaning control method for a commercial kitchen fume duct according to claim 4, characterized in that, Analyze the dirt data of the steam cleaning pipeline. The analysis process is as follows: The dirt data of the steam cleaning pipeline includes the pipeline dirt color change index, the dirt concentration index of the pipeline steam cleaning water, and the steam temperature collected during each steam cleaning. Substitute the pipeline dirt color index and the dirt concentration index of the pipeline steam cleaning water collected during each steam cleaning into the steam usage efficiency index calculation formula to obtain the steam usage efficiency index collected during each steam cleaning. Fit the steam usage efficiency collected during each steam cleaning into a curve graph according to the time axis to obtain the steam cleaning usage efficiency index curve graph. Obtain the slope collected during each steam cleaning from the steam cleaning usage efficiency index curve graph, and obtain the steam usage efficiency change index corresponding to each slope from the database to obtain the steam usage efficiency change index collected during each steam cleaning. Calculate the average value to obtain the average steam usage efficiency change index. Calculate the average value of the temperature collected during each steam cleaning to obtain the average temperature during steam cleaning. Obtain the offset difference of the steam usage efficiency change index corresponding to each average temperature from the database to obtain the offset difference of the steam usage efficiency change index. Based on the average steam usage efficiency change index and the offset difference of the steam usage efficiency change index, obtain the standard steam usage efficiency change index range during steam cleaning.

6. The cleaning control method of a commercial kitchen fume duct according to claim 5, characterized in that, Perform steam cleaning control. The specific control process is as follows: If the steam usage efficiency change index collected during a certain steam cleaning is greater than the upper limit of the standard steam usage efficiency change index range during steam cleaning, it indicates that the steam cleaning collected during this time is highly efficient cleaning. Thus, obtain each highly efficient cleaning, and further obtain the temperature of each highly efficient cleaning. If the steam usage efficiency change index collected during a certain steam cleaning is less than the lower limit of the standard steam usage efficiency change index range during steam cleaning, it indicates that the steam cleaning collected during this time is low-efficiency cleaning. Thus, obtain each low-efficiency cleaning. If the temperature of a certain highly efficient cleaning is greater than the average temperature, it indicates that this cleaning is high-temperature and highly efficient cleaning. Thus, obtain each high-temperature and highly efficient cleaning, and count the number of high-temperature and highly efficient cleanings. If the number of high-temperature and highly efficient cleanings is less than the preset number of high-temperature and effective cleanings, lower the steam temperature of the subsequent steam cleaning by the preset unit temperature. If the number of high-temperature and highly efficient cleanings is greater than the preset number of high-temperature and effective cleanings, increase the steam temperature of the subsequent steam cleaning by the preset unit temperature. Count each low-efficiency cleaning to obtain the number of low-efficiency cleanings. If the number of low-efficiency cleanings is greater than the preset number of steam effective cleanings, reduce the steam duration of the subsequent steam cleaning by the preset unit duration. If the number of low-efficiency cleanings is greater than the preset number of steam highly efficient cleanings, increase the steam duration of the subsequent steam cleaning by the preset unit duration.

7. A cleaning control method for a commercial kitchen fume duct according to claim 1, characterized in that, The setting of the detergent cleaning plan is as follows: The steam sewage data is the concentration of each oil fume pollutant in the current sewage. The data corresponding to the concentration of each oil fume pollutant in the current sewage is vectorized to obtain the current sewage pollutant feature vector. The pollutant feature vectors of each pollution experiment scenario are obtained from the database. The cosine similarity between the current sewage pollutant feature vector and the pollutant feature vectors of each pollution experiment scenario is calculated to obtain the similarity of each pollution experiment scenario of the current sewage pollutant. The characteristic surfactants of each pollution experiment scenario are obtained from the database. The characteristic surfactants of each pollution experiment scenario are sorted in descending order according to the corresponding similarity to obtain the sequence of each surfactant. The surfactant with the first sequence is recorded as the main surfactant of the current pipeline, and the surfactants with the first preset number in the sequence are recorded as the auxiliary surfactants of the current pipeline. The detergent cleaning plan is as follows: The main surfactant and each auxiliary surfactant of the current pipeline are recorded as each used surfactant, and each used surfactant is prepared into a detergent according to a preset standard concentration for detergent washing.

8. A cleaning control method for a commercial kitchen fume duct according to claim 7, characterized in that, The control of the washing liquid cleaning is as follows: The pipeline dirt data after detergent cleaning includes the color change index of the pipeline dirt after washing and the color change index of the cleaning water. The standard pipeline dirt color change index and the standard cleaning water color change index are obtained from the database. If the color change index of the pipeline dirt after washing is greater than or equal to the standard pipeline dirt color change index, it indicates that the current detergent concentration is normal. If the color change index of the pipeline dirt after washing is less than the standard pipeline dirt color change index, it indicates that the current detergent concentration is abnormal. If the color change index of the cleaning water after washing is greater than or equal to the standard cleaning water color change index, it indicates that the current detergent dosage is normal. If the color change index of the cleaning water after washing is less than the standard cleaning water color change index, it indicates that the current detergent dosage is abnormal. The control of the washing liquid cleaning is as follows: If the concentration of the current washing liquid is normal and the dosage is normal, increase the concentration of each auxiliary surfactant in the detergent by a preset percentage. If the concentration of the current washing liquid is normal and the dosage is abnormal, reduce the concentration of each auxiliary surfactant in the detergent by a preset percentage. If the concentration of the current washing liquid is abnormal and the dosage is normal, increase the concentration of the main surfactant by a preset percentage. If the concentration of the current washing liquid is abnormal and the dosage is abnormal, reduce the concentration of the main surfactant by a preset percentage.

9. The cleaning control method of a commercial kitchen fume duct according to claim 1, characterized in that, The combined control of the double cleaning plan is as follows: The steam usage data includes the steam heating energy consumption and the average steam usage efficiency index of each steam cleaning within a preset time period. The steam heating energy consumption and the average steam usage efficiency index of each steam cleaning within a preset time period are substituted into the steam cleaning energy-saving benefit index calculation formula to obtain the current steam cleaning energy-saving benefit index. The washing liquid usage data includes the consumption of polluted water treatment for each detergent cleaning within a preset time period and the pipeline dirt color change index. Substitute the consumption of polluted water treatment for each detergent cleaning and the pipeline dirt color change index within the preset time period into the calculation formula of the washing liquid pollution control benefit index to obtain the current steam cleaning energy-saving benefit index; If the current steam cleaning energy-saving benefit is greater than the current washing liquid pollution control benefit, reduce the steam cleaning interval duration and the usage amount of the washing liquid for washing liquid cleaning. If the current steam cleaning energy-saving benefit is less than the current washing liquid pollution control benefit, increase the steam cleaning interval duration and the usage amount of the washing liquid for washing liquid cleaning.

10. A cleaning control system for applying the cleaning control method of the commercial kitchen fume duct according to any one of claims 1-9, characterized in that, It includes the following modules: The cleaning control module is used to collect kitchen fume usage data and pipeline dirt data, set the preset steam cleaning cycle according to the kitchen usage data, and analyze the pipeline dirt data based on the steam cleaning cycle to set the detergent cleaning cycle; The steam cleaning control module is used to collect kitchen gas usage data, analyze the kitchen gas usage data based on the preset steam cleaning cycle to set the steam cleaning heat regulation plan. After using the steam cleaning heat regulation plan, collect the pipeline dirt data of steam cleaning and perform steam cleaning control according to the pipeline dirt data of steam cleaning; The washing liquid control module is used to collect steam sewage data, set the detergent cleaning plan according to the steam sewage data, collect the pipeline dirt data after detergent cleaning, and perform washing liquid cleaning control according to the pipeline dirt data after detergent cleaning; The detergent regulation module is used to collect steam usage data and washing liquid usage data and perform joint control of the double cleaning plan according to the steam usage data and the washing liquid usage data.

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