A chemical park wastewater treatment control method and system based on the Internet of Things

Abstract

The present invention discloses a method and system for regulating and controlling wastewater treatment in a chemical park based on the Internet of Things, which relates to the technical field of sewage treatment, including: estimating the total amount of wastewater in the chemical park on the day; obtaining at least one pollutant content; establishing a model of the pollutant treatment speed with respect to the reaction conditions; calculating the wastewater discharge speed; calculating the residence time of the wastewater in the reaction tank; adding a sufficient amount of target reactants corresponding to the pollutant content into the reaction tank; calculating the thorough reaction conditions of the wastewater; adjusting the reaction conditions of the wastewater based on the real-time reaction conditions; performing water quality detection on the wastewater after the reaction, and when the pollutant content in the wastewater is higher than the preset concentration, the wastewater is subjected to reflux treatment. By setting a pollutant detection module, a model building module, a data calculation module and a reaction condition calculation module, the comprehensive influence effect of multiple factors on the wastewater treatment speed is determined, thereby ensuring that the wastewater treatment is sufficiently thorough.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to a method and system for regulating and controlling wastewater treatment in a chemical park based on the Internet of Things. Background Art

[0002] Wastewater treatment is the process of purifying wastewater to meet the water quality requirements for discharge into a certain water area or reuse. Wastewater treatment is widely used in various fields such as construction, agriculture, transportation, energy, petrochemicals, environmental protection, urban landscape, medical care, and catering. In sewage treatment systems that use various inorganic coagulants and flocculants such as aluminum salts and iron salts, the sedimentation effect can also be significantly improved.

[0003] Chemical parks generate a large amount of wastewater every day, so large quantities of wastewater need to be treated. Since the time for treating wastewater is limited every day, the wastewater generated on the same day must be treated on the same day, otherwise wastewater will accumulate. Therefore, the speed of wastewater treatment must be adjusted with the changes in the content of pollutants in the wastewater. However, the wastewater treatment speed is related to multiple factors, and it is difficult to determine the comprehensive impact of multiple factors on the wastewater treatment speed, which may lead to incomplete pollutant treatment. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for regulating and controlling wastewater treatment in a chemical park based on the Internet of Things is provided. This technical solution solves the problem proposed in the above background technology that since the time for treating wastewater every day is limited, the wastewater generated on the same day must be treated on the same day, otherwise wastewater will accumulate. Therefore, the speed of wastewater treatment must be adjusted with the change of the content of pollutants in the wastewater, but the wastewater treatment speed is related to multiple factors, and it is difficult to determine the comprehensive influence of multiple factors on the wastewater treatment speed, which may lead to the problem that the pollutant treatment is not thorough enough.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A chemical park wastewater treatment control method based on the Internet of Things, comprising:

[0007] Based on the daily operation volume, estimate the total daily wastewater volume of the chemical park;

[0008] A wastewater detection device is set at the entrance of the wastewater treatment, and the wastewater detection device performs real-time detection on the wastewater at preset intervals to obtain at least one pollutant content, where the pollutant content is the mass of the pollutant in the wastewater per unit volume;

[0009] Based on the IoT big data, the target reactants for pollutant digestion are obtained, and a model of the pollutant treatment rate related to the reaction conditions is established. The reaction conditions are composed of temperature, aeration volume and target reactant content.

[0010] Based on the total amount of wastewater on that day, the wastewater discharge rate is calculated;

[0011] Based on the wastewater discharge rate, the residence time of the wastewater in the reaction tank is calculated;

[0012] Based on the model of the reaction conditions of the wastewater residence time in the reaction tank and the pollutant treatment rate, the complete reaction conditions of the wastewater are calculated. The maintenance time of the complete reaction conditions is a preset time. After the preset time, when the data of the pollutant content is updated, the complete reaction conditions are recalculated;

[0013] Obtaining the real-time reaction conditions of the wastewater, and adjusting the reaction conditions of the wastewater based on the real-time reaction conditions;

[0014] The wastewater after the reaction is tested for water quality. When the content of pollutants in the wastewater is higher than the preset concentration, the wastewater is refluxed to the wastewater testing equipment. Otherwise, the wastewater after the reaction is directly discharged. The preset concentration is an empirical value obtained based on the IoT big data.

[0015] Preferably, the estimating the total amount of wastewater in the chemical park on that day based on the workload on that day comprises the following steps:

[0016] Based on the IoT big data, at least one production type of the chemical park is obtained, and the benchmark wastewater volume generated by the unit operation volume of the production type is obtained;

[0017] Divide the workload of the day according to the production type to obtain at least one workload component of the day, where the workload of the day is the workload of a single production type;

[0018] Use the wastewater volume calculation formula to calculate the total wastewater volume of the chemical park on that day;

[0019] The wastewater volume calculation formula is as follows:

[0020] ;

[0021] Among them, A is the total amount of wastewater on that day, b is the unit operation volume, For the day's work, is the benchmark wastewater volume corresponding to the production type corresponding to the daily operation component, i is the subscript, and n is the total number of at least one daily operation component.

[0022] Preferably, the method of obtaining target reactants for pollutant digestion based on IoT big data includes the following steps:

[0023] Obtaining at least one pre-reactant of a pollutant, wherein the reaction product of the pre-reactant with the pollutant is a harmless substance and the pre-reactant of the pollutant does not react with other pollutants;

[0024] Obtaining the characteristic reaction rate of the pollutant and the pre-reactant, obtaining the characteristic mass of the pre-reactant consumed by the complete reaction of the unit mass of the pollutant, and obtaining the characteristic cost of the unit mass of the pre-reactant;

[0025] The characteristic reaction rate of the pre-reactant is multiplied by the characteristic cost to obtain the characteristic coefficient;

[0026] The one with the smallest characteristic coefficient among at least one pre-reactant of the pollutant is used as the target reactant.

[0027] Preferably, the modeling of the pollutant treatment rate with respect to the reaction conditions comprises the following steps:

[0028] Based on the IoT big data, the temperature range, aeration volume range and target reactant content range in the wastewater are obtained;

[0029] Divide the temperature value range in the wastewater at equal intervals to obtain at least one temperature point;

[0030] Divide the range of aeration values ​​in the wastewater at equal intervals to obtain at least one aeration point;

[0031] Divide the value range of the target reactant content in the wastewater at equal intervals to obtain at least one content point;

[0032] At least one temperature point, at least one aeration point and at least one content point are randomly combined to obtain at least one reaction combination;

[0033] Under the condition that the reaction condition is the numerical value of the temperature point, the aeration point and the content point in the reaction combination, the reaction rate of the pollutant and the target reactant is obtained as the conditional reaction rate;

[0034] The values ​​of the temperature point, aeration point and content point in the reaction combination are paired and fitted with the conditional reaction speed to obtain a reaction speed fitting function, wherein the values ​​of the temperature point, aeration point and content point in the reaction combination are independent variables and the conditional reaction speed is a dependent variable;

[0035] The reaction rate fitting functions of at least one pollutant are summarized to obtain a model of the pollutant treatment rate with respect to the reaction conditions.

[0036] Preferably, the calculation of the wastewater discharge rate based on the total amount of wastewater on that day comprises the following steps:

[0037] The maximum time of wastewater treatment on the day is obtained, and the total amount of wastewater on the day is divided by the maximum time of wastewater treatment on the day to obtain the wastewater discharge rate.

[0038] Preferably, the step of calculating the residence time of the wastewater in the reaction tank based on the wastewater outlet velocity comprises the following steps:

[0039] The total capacity of the reaction tank is obtained, and the total capacity of the reaction tank is divided by the wastewater discharge rate to obtain the residence time of the wastewater in the reaction tank.

[0040] Preferably, the step of calculating the complete reaction conditions of the wastewater based on the model of the residence time of the wastewater in the reaction tank and the pollutant treatment rate regarding the reaction conditions comprises the following steps:

[0041] The pollutant content is multiplied by the total capacity of the reaction tank to obtain the real-time mass of the pollutant;

[0042] The real-time mass of the pollutants is divided by the residence time of the wastewater in the reaction tank to obtain the actual reaction rate of the pollutants;

[0043] Substitute the actual reaction rate of the pollutant into the corresponding reaction rate fitting function, and inversely solve to obtain a set of values ​​of temperature, aeration volume and target reactant content as the target reaction conditions;

[0044] The maximum values ​​of temperature, aeration volume and target reactant content in the target reaction conditions of at least one pollutant are summarized as the complete reaction conditions of the wastewater.

[0045] Preferably, the step of obtaining the real-time reaction conditions of the wastewater and adjusting the reaction conditions of the wastewater based on the real-time reaction conditions comprises the following steps:

[0046] When the temperature, aeration volume and target reactant content in the real-time reaction conditions are respectively higher than the temperature, aeration volume and target reactant content in the thorough reaction conditions, the reaction conditions are not adjusted;

[0047] Otherwise, the real-time reaction conditions will be adjusted to ensure that the temperature, aeration volume and target reactant content in the adjusted real-time reaction conditions are respectively higher than the temperature, aeration volume and target reactant content in the thorough reaction conditions, wherein the adjustment time is less than the product of the preset time and the preset ratio, and the preset ratio is less than 1%.

[0048] A chemical park wastewater treatment control system based on the Internet of Things is used to implement the above-mentioned chemical park wastewater treatment control method based on the Internet of Things, comprising:

[0049] An estimation module, wherein the estimation module estimates the total amount of wastewater in the chemical park on that day based on the workload on that day;

[0050] A pollutant detection module, wherein a wastewater detection device is arranged at the inlet of the wastewater treatment, and the wastewater detection device performs real-time detection on the wastewater at preset intervals to obtain at least one pollutant content, wherein the pollutant content is the mass of the pollutant in the wastewater per unit volume;

[0051] A model building module, which obtains target reactants for pollutant digestion and treatment based on IoT big data, and builds a model of pollutant treatment speed with respect to reaction conditions;

[0052] A data calculation module, wherein the data calculation module calculates the wastewater discharge rate based on the total amount of wastewater on that day, and calculates the residence time of the wastewater in the reaction tank based on the wastewater discharge rate;

[0053] A reaction condition calculation module, wherein the reaction condition calculation module calculates the complete reaction condition of the wastewater based on the residence time of the wastewater in the reaction tank and the pollutant treatment speed model of the reaction condition, and the complete reaction condition is maintained for a preset time. After the preset time, when the data of the pollutant content is updated, the complete reaction condition is recalculated;

[0054] A reaction condition adjustment module, wherein the reaction condition adjustment module obtains the real-time reaction condition of the wastewater and adjusts the reaction condition of the wastewater based on the real-time reaction condition;

[0055] The secondary treatment module performs water quality testing on the wastewater after the reaction. When the content of pollutants in the wastewater is higher than a preset concentration, the wastewater is refluxed to the wastewater testing equipment. Otherwise, the wastewater after the reaction is directly discharged. The preset concentration is an empirical value obtained based on the big data of the Internet of Things.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] By setting up pollutant detection modules, model building modules, data calculation modules and reaction condition calculation modules, different reaction condition controls are performed according to the real-time pollutant content in the wastewater to ensure that the pollutants in the wastewater can be thoroughly reacted when the wastewater is discharged at the wastewater outlet rate, thereby ensuring that the daily wastewater can be processed on the same day without accumulation. It can determine the comprehensive impact of multiple factors on the wastewater treatment rate through the establishment of a model, thereby ensuring that the wastewater treatment is sufficiently thorough. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a schematic diagram of the process of the chemical park wastewater treatment control method based on the Internet of Things of the present invention;

[0059] Figure 2The present invention is a flow chart for estimating the total amount of wastewater in a chemical park on a daily basis based on the daily workload;

[0060] Figure 3 A schematic diagram of a process for obtaining target reactants for decomposing pollutants based on the Internet of Things big data of the present invention;

[0061] Figure 4 A schematic diagram of a process for establishing a model of pollutant treatment rate with respect to reaction conditions according to the present invention;

[0062] Figure 5 A schematic diagram of a process for calculating the complete reaction conditions of the wastewater based on the residence time of the wastewater in the reaction tank and the model of the pollutant treatment rate on the reaction conditions of the present invention;

[0063] Figure 6 The present invention is a schematic diagram of a process for obtaining real-time reaction conditions of wastewater and adjusting reaction conditions of wastewater based on the real-time reaction conditions. DETAILED DESCRIPTION

[0064] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0065] Reference Figure 1 As shown, a chemical park wastewater treatment control method based on the Internet of Things includes:

[0066] Based on the daily operation volume, estimate the total daily wastewater volume of the chemical park;

[0067] A wastewater detection device is set at the entrance of the wastewater treatment, and the wastewater detection device performs real-time detection on the wastewater at preset intervals to obtain at least one pollutant content, where the pollutant content is the mass of the pollutant in the wastewater per unit volume;

[0068] Based on the IoT big data, the target reactants for pollutant digestion are obtained, and a model of the pollutant treatment rate related to the reaction conditions is established. The reaction conditions are composed of temperature, aeration volume and target reactant content.

[0069] Based on the total amount of wastewater on that day, the wastewater discharge rate is calculated;

[0070] Based on the wastewater discharge rate, the residence time of the wastewater in the reaction tank is calculated;

[0071] Based on the model of the reaction conditions of the wastewater residence time in the reaction tank and the pollutant treatment rate, the complete reaction conditions of the wastewater are calculated. The maintenance time of the complete reaction conditions is a preset time. After the preset time, when the data of the pollutant content is updated, the complete reaction conditions are recalculated;

[0072] Obtaining real-time reaction conditions of wastewater, and adjusting the reaction conditions of wastewater based on the real-time reaction conditions;

[0073] The wastewater after the reaction is tested for water quality. When the content of pollutants in the wastewater is higher than the preset concentration, the wastewater is refluxed to the wastewater testing equipment. Otherwise, the wastewater after the reaction is directly discharged. The preset concentration is an empirical value obtained based on the IoT big data.

[0074] In this scheme, data monitoring is performed at preset time intervals. Since the preset time is short, the parameters of the wastewater within the preset time can be identified as the monitored data. Therefore, unified processing is performed according to the monitored data within the preset time, and the error is small, which can meet the processing needs. After the preset time, monitoring is performed again, and the new monitored data is used for wastewater treatment, which can meet the treatment of wastewater with constantly changing pollutant content.

[0075] Reference Figure 2 As shown in the figure, based on the daily workload, estimating the total daily wastewater volume of the chemical park includes the following steps:

[0076] Based on the IoT big data, at least one production type of the chemical park is obtained, and the benchmark wastewater volume generated by the unit operation volume of the production type is obtained;

[0077] Divide the workload of the day according to the production type to obtain at least one workload component of the day, where the workload of the day is the workload of a single production type;

[0078] Use the wastewater volume calculation formula to calculate the total wastewater volume of the chemical park on that day;

[0079] The wastewater volume calculation formula is as follows:

[0080] ;

[0081] Among them, A is the total amount of wastewater on that day, b is the unit operation volume, For the day's work, is the benchmark wastewater volume corresponding to the production type corresponding to the daily operation component, i is the subscript, and n is the total number of at least one daily operation component.

[0082] The total amount of wastewater on that day is determined in order to determine the drainage speed when the wastewater is treated. Because wastewater is generated every day, and the output of wastewater is relatively huge, the duration of wastewater treatment is relatively fixed and will not exceed twenty-four hours. Due to other reasons such as the need for treatment machines to rest, the actual treatment time is shorter. In order to avoid accumulation, it is necessary to determine the drainage speed during treatment. Draining according to this speed can ensure that the wastewater can be discharged on the same day. As long as the wastewater is treated during the drainage process, it will be sufficient.

[0083] Reference Figure 3 As shown, based on the IoT big data, obtaining the target reactants for pollutant digestion treatment includes the following steps:

[0084] Obtaining at least one pre-reactant of a pollutant, wherein the reaction product of the pre-reactant with the pollutant is a harmless substance and the pre-reactant of the pollutant does not react with other pollutants;

[0085] Obtaining the characteristic reaction rate of the pollutant and the pre-reactant, obtaining the characteristic mass of the pre-reactant consumed by the complete reaction of the unit mass of the pollutant, and obtaining the characteristic cost of the unit mass of the pre-reactant;

[0086] The characteristic reaction rate of the pre-reactant is multiplied by the characteristic cost to obtain the characteristic coefficient;

[0087] The one with the smallest characteristic coefficient among at least one pre-reactant of the pollutant is used as the target reactant.

[0088] The determination of the target reactant is based on comprehensive considerations of cost and reaction speed, ensuring that the cost is relatively low while also ensuring a fast reaction speed, thereby facilitating the completion of sewage treatment on the same day. Due to the fast reaction speed, in most cases, there is no need to adjust the reaction conditions, and room temperature reactions can meet the speed of a thorough reaction.

[0089] Reference Figure 4 As shown, the model of pollutant treatment rate with respect to reaction conditions includes the following steps:

[0090] Based on the IoT big data, the temperature range, aeration volume range and target reactant content range in the wastewater are obtained;

[0091] Divide the temperature value range in the wastewater at equal intervals to obtain at least one temperature point;

[0092] Divide the range of aeration values ​​in the wastewater at equal intervals to obtain at least one aeration point;

[0093] Divide the value range of the target reactant content in the wastewater at equal intervals to obtain at least one content point;

[0094] At least one temperature point, at least one aeration point and at least one content point are randomly combined to obtain at least one reaction combination;

[0095] Under the condition that the reaction condition is the numerical value of the temperature point, the aeration point and the content point in the reaction combination, the reaction rate of the pollutant and the target reactant is obtained as the conditional reaction rate;

[0096] The values ​​of the temperature point, aeration point and content point in the reaction combination are paired and fitted with the conditional reaction speed to obtain a reaction speed fitting function, wherein the values ​​of the temperature point, aeration point and content point in the reaction combination are independent variables and the conditional reaction speed is a dependent variable;

[0097] The reaction rate fitting functions of at least one pollutant are summarized to obtain a model of the pollutant treatment rate with respect to the reaction conditions.

[0098] The reaction rate is positively correlated with the reaction conditions. Therefore, a model of the pollutant treatment rate in relation to the reaction conditions is established. When the reaction rate is determined, the reaction conditions for achieving the reaction rate can be calculated, and the corresponding reaction conditions can be regulated. However, since the reaction conditions are composed of multiple factors, there are multiple reaction conditions that can be determined to achieve the reaction rate, and you can choose any one of them.

[0099] Based on the total amount of wastewater on that day, the calculation of the wastewater discharge rate includes the following steps:

[0100] The maximum time of wastewater treatment on the day is obtained, and the total amount of wastewater on the day is divided by the maximum time of wastewater treatment on the day to obtain the wastewater discharge rate.

[0101] Based on the wastewater discharge rate, the residence time of the wastewater in the reaction tank is calculated, including the following steps:

[0102] The total capacity of the reaction tank is obtained, and the total capacity of the reaction tank is divided by the wastewater discharge rate to obtain the residence time of the wastewater in the reaction tank.

[0103] The wastewater discharge rate is used to ensure that all wastewater generated on the day can be treated in the reaction tank.

[0104] Reference Figure 5 As shown, based on the model of the residence time of wastewater in the reaction tank and the pollutant treatment rate regarding the reaction conditions, the calculation of the complete reaction conditions of the wastewater includes the following steps:

[0105] The pollutant content is multiplied by the total capacity of the reaction tank to obtain the real-time mass of the pollutant;

[0106] The real-time mass of the pollutants is divided by the residence time of the wastewater in the reaction tank to obtain the actual reaction rate of the pollutants;

[0107] Substitute the actual reaction rate of the pollutant into the corresponding reaction rate fitting function, and inversely solve to obtain a set of values ​​of temperature, aeration volume and target reactant content as the target reaction conditions;

[0108] The maximum values ​​of temperature, aeration volume and target reactant content in the target reaction conditions of at least one pollutant are summarized as the complete reaction conditions of the wastewater.

[0109] There are many kinds of pollutants contained in wastewater, and the complete reaction speed of each pollutant is different, and the reaction conditions required for complete reaction are also different. In order to ensure that they can be completely reacted within the residence time of the wastewater in the reaction tank, the maximum value of the target reaction condition of at least one pollutant is used as the complete reaction condition of the wastewater. Under this reaction condition, all pollutants can be completely reacted within the residence time of the wastewater in the reaction tank. The maximum value of the target reaction condition of at least one pollutant refers to the maximum value of the temperature in the target reaction condition of at least one pollutant, the maximum value of the aeration amount in the target reaction condition of at least one pollutant, and the maximum value of the target reactant content in the target reaction condition of at least one pollutant.

[0110] Reference Figure 6 As shown, obtaining the real-time reaction conditions of the wastewater and adjusting the reaction conditions of the wastewater based on the real-time reaction conditions include the following steps:

[0111] When the temperature, aeration volume and target reactant content in the real-time reaction conditions are respectively higher than the temperature, aeration volume and target reactant content in the thorough reaction conditions, the reaction conditions are not adjusted;

[0112] Otherwise, the real-time reaction conditions will be adjusted to ensure that the temperature, aeration volume and target reactant content in the adjusted real-time reaction conditions are respectively higher than the temperature, aeration volume and target reactant content in the thorough reaction conditions, wherein the adjustment time is less than the product of the preset time and the preset ratio, and the preset ratio is less than 1%.

[0113] Since the adjustment of reaction conditions is not immediate and requires a certain amount of time, the reaction speed is slow during this time. Therefore, in order to avoid the impact of the slow speed, the time for adjusting the reaction conditions is limited so that the adjustment time is less than the product of the preset time and the preset ratio. The preset ratio is less than 1%, and the adjustment time only occupies a very small part of the preset time. Therefore, most of the time within the preset time is spent on reacting according to the thorough reaction conditions. Therefore, almost all pollutants can be reacted completely and the treatment needs can be met.

[0114] A chemical park wastewater treatment control system based on the Internet of Things is used to implement the above-mentioned chemical park wastewater treatment control method based on the Internet of Things, comprising:

[0115] An estimation module, wherein the estimation module estimates the total amount of wastewater in the chemical park on that day based on the workload on that day;

[0116] A pollutant detection module, wherein a wastewater detection device is arranged at the inlet of the wastewater treatment, and the wastewater detection device performs real-time detection on the wastewater at preset intervals to obtain at least one pollutant content, wherein the pollutant content is the mass of the pollutant in the wastewater per unit volume;

[0117] A model building module, which obtains target reactants for pollutant digestion and treatment based on IoT big data, and builds a model of pollutant treatment speed with respect to reaction conditions;

[0118] A data calculation module, wherein the data calculation module calculates the wastewater discharge rate based on the total amount of wastewater on that day, and calculates the residence time of the wastewater in the reaction tank based on the wastewater discharge rate;

[0119] A reaction condition calculation module, wherein the reaction condition calculation module calculates the complete reaction condition of the wastewater based on the residence time of the wastewater in the reaction tank and the pollutant treatment speed model of the reaction condition, and the complete reaction condition is maintained for a preset time. After the preset time, when the data of the pollutant content is updated, the complete reaction condition is recalculated;

[0120] A reaction condition adjustment module, wherein the reaction condition adjustment module obtains the real-time reaction condition of the wastewater and adjusts the reaction condition of the wastewater based on the real-time reaction condition;

[0121] The secondary treatment module performs water quality testing on the wastewater after the reaction. When the content of pollutants in the wastewater is higher than a preset concentration, the wastewater is refluxed to the wastewater testing equipment. Otherwise, the wastewater after the reaction is directly discharged. The preset concentration is an empirical value obtained based on the big data of the Internet of Things.

[0122] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored. When the computer-readable program is called, the above-mentioned chemical park wastewater treatment control method based on the Internet of Things is executed.

[0123] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0124] In summary, the advantages of the present invention are: by setting up a pollutant detection module, a model building module, a data calculation module and a reaction condition calculation module, different reaction condition controls are performed according to the real-time content of pollutants in the wastewater, ensuring that the pollutants in the wastewater can be thoroughly reacted when the wastewater is discharged at the wastewater outlet rate, thereby ensuring that the daily wastewater can be processed on the same day and there will be no accumulation. It can determine the comprehensive influence of multiple factors on the wastewater treatment rate through the establishment of a model, thereby ensuring that the wastewater treatment is sufficiently thorough.

[0125] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for regulating and controlling wastewater treatment in a chemical park based on the Internet of Things, characterized in that: include: Based on the daily operation volume, estimate the total daily wastewater volume of the chemical park; A wastewater detection device is set at the entrance of the wastewater treatment, and the wastewater detection device performs real-time detection on the wastewater at preset intervals to obtain at least one pollutant content, where the pollutant content is the mass of the pollutant in the wastewater per unit volume; Based on the IoT big data, the target reactants for pollutant digestion are obtained, and a model of the pollutant treatment rate related to the reaction conditions is established. The reaction conditions are composed of temperature, aeration volume and target reactant content. Based on the total amount of wastewater on that day, the wastewater discharge rate is calculated; Based on the wastewater discharge rate, the residence time of the wastewater in the reaction tank is calculated; Based on the model of the reaction conditions of the wastewater residence time in the reaction tank and the pollutant treatment rate, the complete reaction conditions of the wastewater are calculated. The maintenance time of the complete reaction conditions is a preset time. After the preset time, when the data of the pollutant content is updated, the complete reaction conditions are recalculated; Obtaining the real-time reaction conditions of the wastewater, and adjusting the reaction conditions of the wastewater based on the real-time reaction conditions; Perform water quality testing on the wastewater after the reaction. When the content of pollutants in the wastewater is higher than a preset concentration, the wastewater is refluxed to the wastewater testing equipment. Otherwise, the wastewater after the reaction is directly discharged. The preset concentration is an empirical value obtained based on the IoT big data. The method of obtaining target reactants for pollutant digestion based on IoT big data includes the following steps: Obtaining at least one pre-reactant of a pollutant, wherein the reaction product of the pre-reactant with the pollutant is a harmless substance and the pre-reactant of the pollutant does not react with other pollutants; Obtaining the characteristic reaction rate of the pollutant and the pre-reactant, obtaining the characteristic mass of the pre-reactant consumed by the complete reaction of the unit mass of the pollutant, and obtaining the characteristic cost of the unit mass of the pre-reactant; The characteristic reaction rate of the pre-reactant is multiplied by the characteristic cost to obtain the characteristic coefficient; The one with the smallest characteristic coefficient among at least one pre-reactant of the pollutant is used as the target reactant; The modeling of the pollutant treatment rate with respect to the reaction conditions comprises the following steps: Based on the IoT big data, the temperature range, aeration volume range and target reactant content range in the wastewater are obtained; Divide the temperature value range in the wastewater at equal intervals to obtain at least one temperature point; Divide the range of aeration values ​​in the wastewater at equal intervals to obtain at least one aeration point; Divide the value range of the target reactant content in the wastewater at equal intervals to obtain at least one content point; At least one temperature point, at least one aeration point and at least one content point are randomly combined to obtain at least one reaction combination; Under the condition that the reaction condition is the numerical value of the temperature point, the aeration point and the content point in the reaction combination, the reaction rate of the pollutant and the target reactant is obtained as the conditional reaction rate; The values ​​of the temperature point, aeration point and content point in the reaction combination are paired and fitted with the conditional reaction speed to obtain a reaction speed fitting function, wherein the values ​​of the temperature point, aeration point and content point in the reaction combination are independent variables and the conditional reaction speed is a dependent variable; Summarizing the reaction rate fitting function of at least one pollutant to obtain a model of the pollutant treatment rate with respect to the reaction conditions; The method of calculating the wastewater discharge rate based on the total wastewater volume of the day comprises the following steps: Get the maximum time of wastewater treatment on the day, divide the total amount of wastewater on the day by the maximum time of wastewater treatment on the day, and get the wastewater discharge rate; The method of calculating the complete reaction conditions of the wastewater based on the residence time of the wastewater in the reaction tank and the model of the pollutant treatment rate on the reaction conditions comprises the following steps: The pollutant content is multiplied by the total capacity of the reaction tank to obtain the real-time mass of the pollutant; The real-time mass of the pollutants is divided by the residence time of the wastewater in the reaction tank to obtain the actual reaction rate of the pollutants; Substitute the actual reaction rate of the pollutant into the corresponding reaction rate fitting function, and inversely solve to obtain a set of values ​​of temperature, aeration volume and target reactant content as the target reaction conditions; The maximum values ​​of temperature, aeration volume and target reactant content in the target reaction conditions of at least one pollutant are summarized as the complete reaction conditions of the wastewater.

2. A method for controlling wastewater treatment in a chemical park based on the Internet of Things according to claim 1, characterized in that: The method of estimating the total amount of wastewater in the chemical park on that day based on the daily operation volume includes the following steps: Based on the IoT big data, at least one production type of the chemical park is obtained, and the benchmark wastewater volume generated by the unit operation volume of the production type is obtained; Divide the workload of the day according to the production type to obtain at least one workload component of the day, where the workload of the day is the workload of a single production type; Use the wastewater volume calculation formula to calculate the total wastewater volume of the chemical park on that day; The wastewater volume calculation formula is as follows: ； Among them, A is the total amount of wastewater on that day, b is the unit operation volume, For the day's work, is the benchmark wastewater volume corresponding to the production type corresponding to the daily operation component, i is the subscript, and n is the total number of at least one daily operation component.

3. A method for controlling wastewater treatment in a chemical park based on the Internet of Things according to claim 2, characterized in that: The method of calculating the residence time of the wastewater in the reaction tank based on the wastewater outlet velocity comprises the following steps: The total capacity of the reaction tank is obtained, and the total capacity of the reaction tank is divided by the wastewater discharge rate to obtain the residence time of the wastewater in the reaction tank.

4. A method for controlling wastewater treatment in a chemical park based on the Internet of Things according to claim 3, characterized in that: The step of obtaining the real-time reaction conditions of the wastewater and adjusting the reaction conditions of the wastewater based on the real-time reaction conditions comprises the following steps: When the temperature, aeration volume and target reactant content in the real-time reaction conditions are respectively higher than the temperature, aeration volume and target reactant content in the thorough reaction conditions, the reaction conditions are not adjusted; Otherwise, the real-time reaction conditions will be adjusted to ensure that the temperature, aeration volume and target reactant content in the adjusted real-time reaction conditions are respectively higher than the temperature, aeration volume and target reactant content in the thorough reaction conditions, wherein the adjustment time is less than the product of the preset time and the preset ratio, and the preset ratio is less than 1%.

5. A chemical park wastewater treatment control system based on the Internet of Things, used to implement the chemical park wastewater treatment control method based on the Internet of Things as described in any one of claims 1 to 4, characterized in that: include: An estimation module, wherein the estimation module estimates the total amount of wastewater in the chemical park on that day based on the workload on that day; A pollutant detection module, wherein a wastewater detection device is arranged at the inlet of the wastewater treatment, and the wastewater detection device performs real-time detection on the wastewater at preset intervals to obtain at least one pollutant content, wherein the pollutant content is the mass of the pollutant in the wastewater per unit volume; A model building module, which obtains target reactants for pollutant digestion and treatment based on IoT big data, and builds a model of pollutant treatment speed with respect to reaction conditions; A data calculation module, wherein the data calculation module calculates the wastewater discharge rate based on the total amount of wastewater on that day, and calculates the residence time of the wastewater in the reaction tank based on the wastewater discharge rate; A reaction condition calculation module, wherein the reaction condition calculation module calculates the complete reaction condition of the wastewater based on the residence time of the wastewater in the reaction tank and the pollutant treatment speed model of the reaction condition, and the complete reaction condition is maintained for a preset time. After the preset time, when the data of the pollutant content is updated, the complete reaction condition is recalculated; A reaction condition adjustment module, wherein the reaction condition adjustment module obtains the real-time reaction condition of the wastewater and adjusts the reaction condition of the wastewater based on the real-time reaction condition; The secondary treatment module performs water quality testing on the wastewater after the reaction. When the content of pollutants in the wastewater is higher than a preset concentration, the wastewater is refluxed to the wastewater testing equipment. Otherwise, the wastewater after the reaction is directly discharged. The preset concentration is an empirical value obtained based on the big data of the Internet of Things.

Images