A sewage treatment vehicle for multi-dimensional data collection

Abstract

The present invention relates to the technical field of sewage treatment, and in particular to a sewage treatment vehicle for multi-dimensional data collection, comprising a biodegradation box for biodegrading sewage, a sampling device for collecting sewage samples in the biodegradation box and at a drain outlet, a detection device for detecting DO values ​​and COD values ​​of the sewage samples, a data storage module for storing detection data, and a central control processor for constructing optimal parameters and warning thresholds for DO values ​​and COD values ​​according to the data stored in the data storage module, resetting the aeration amount in the biodegradation box and the sewage treatment time based on the detection values ​​and the corresponding optimal parameters and warning thresholds; when the difference between the detected DO value and / or COD value and the corresponding optimal parameter is greater than the corresponding warning threshold, calculating the biological regulation parameter based on the difference and the warning threshold, and re-determining the amount of microorganisms in the biodegradation box based on the biological regulation parameter. The present invention improves the sewage treatment efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to a sewage treatment vehicle for multi-dimensional data collection. Background Art

[0002] The sewage treatment process includes several treatment steps, the most important of which is the biodegradation treatment stage, which can effectively reduce the content of organic matter in the sewage and achieve the effect of sewage purification. During the sewage treatment process, various data collected by the detector can reflect the degree of sewage treatment.

[0003] Chinese Patent Publication No.: CN108706649B discloses a sewage treatment data acquisition and transmission system, which can monitor the monitoring indicators of each key node in the sewage treatment link, including an in-situ acquisition unit, an ex-situ acquisition unit, a data receiving unit and a data transmission unit. The in-situ acquisition unit includes an online pH meter, an online DO meter, an SS online detector and a temperature detector arranged at each sewage treatment equipment, which are used to transmit the pH data, DO data, SS data and temperature data detected by each to the data receiving unit. The ex-situ acquisition unit includes a COD meter, an ammonia nitrogen meter, a total nitrogen meter and a total phosphorus meter arranged in a monitoring room, which are used to transmit the COD data, ammonia nitrogen data, total nitrogen data and total phosphorus data to the data receiving unit. The data receiving unit transmits the pH data, DO data, SS data, temperature data, COD data, ammonia nitrogen data, total nitrogen data and total phosphorus data to the cloud server through the data transmission unit.

[0004] However, the existing technology has not fully utilized the monitoring data, nor has it monitored and analyzed the sewage treatment effects through the monitoring data. It has also not issued timely warnings and guided on-site operations based on the analysis results. The sewage treatment efficiency needs to be improved. Summary of the invention

[0005] To this end, the present invention provides a sewage treatment vehicle with multi-dimensional data collection to overcome the problem that the prior art does not fully utilize the monitored data, does not monitor and analyze the sewage treatment effect through the monitored data, does not issue early warnings and guide on-site operations in a timely manner based on the analysis results, and the sewage treatment efficiency needs to be improved.

[0006] To achieve the above object, the present invention provides a sewage treatment vehicle for multi-dimensional data collection, comprising:

[0007] A sewage treatment device for biodegrading sewage, the sewage treatment device comprising at least one biodegradation tank;

[0008] A sampling device for simultaneously collecting sewage samples in the biodegradation box and at the drain outlet according to a set sampling frequency;

[0009] A detection device, connected to the sampling device, for detecting the DO value and COD value of the sewage sample collected by the sampling device;

[0010] A central control processor, which is connected to the sewage treatment device and the detection device respectively, and includes a data storage module, a parameter determination module and a calculation module that are interconnected;

[0011] The data storage module is used to store the data detected by the detection device according to a set storage rule;

[0012] The parameter determination module constructs the optimal parameters of the DO value and the COD value of the biodegradation box, and the warning thresholds of the DO value and the COD value according to the data stored in the data storage module;

[0013] The calculation module is used to determine whether to adjust the aeration amount in the biodegradation box based on the detected DO value of the biodegradation box and the optimal parameter of the DO value, and reset the aeration amount in the biodegradation box based on the warning threshold of the DO value;

[0014] Determining whether to adjust the treatment time of the biodegradation box for sewage based on the detected COD value of the biodegradation box and the optimal parameter of the COD value, and resetting the treatment time of the biodegradation box for sewage based on the warning threshold of the COD value;

[0015] And, when the difference between the DO value and / or COD value of the biodegradation box and the corresponding optimal parameter is greater than the corresponding warning threshold, the biological regulation parameter is calculated based on the difference and the warning threshold, and the amount of microorganisms added to the biodegradation box is re-determined based on the biological regulation parameter.

[0016] Furthermore, the data storage module stores data according to the set storage rules, including:

[0017] If the sewage at the drain outlet detected by the detection device meets the treatment standard, the data storage module stores the detected data into the parameter qualified data set;

[0018] If the sewage at the drain outlet detected by the detection device does not meet the treatment standard, the data storage module stores the detected data in a parameter unqualified data set.

[0019] Furthermore, the parameter qualified data set and the parameter unqualified data set include a plurality of data units, and the data units are used to store the detection data of the sewage sample in the biodegradation box and the detection data of the sewage sample at the drain outlet, respectively.

[0020] Furthermore, the parameter determination module constructs optimal parameters according to the parameter qualified data set, and the optimal parameters include a DO minimum threshold and a COD maximum threshold of the biodegradation box.

[0021] Further, the parameter determination module constructs a warning threshold according to the parameter unqualified data set, and the warning threshold includes a warning threshold Δa of the DO value of the biodegradation box and a warning threshold Δb of the COD value.

[0022] Furthermore, when the DO value of the sewage sample in the biodegradation box detected is less than the DO minimum threshold, the calculation module determines that the aeration amount in the biodegradation box needs to be adjusted, calculates the DO difference between the DO value and the DO minimum threshold, and resets the aeration amount in the biodegradation box according to the comparison relationship between the DO difference and the warning threshold Δa.

[0023] Furthermore, when the COD value of the sewage sample detected in the biodegradation box is greater than the COD maximum threshold, the calculation module determines that the treatment time of the sewage by the biodegradation box needs to be adjusted, and calculates the COD difference between the COD value and the COD maximum threshold, and resets the treatment time of the sewage by the biodegradation box according to the comparison relationship between the COD difference and the warning threshold Δb.

[0024] Furthermore, when the DO difference is greater than the warning threshold Δa, or the COD difference is greater than the warning threshold Δb, the calculation module calculates the biological regulation parameter according to the following formula and sets:

[0025]

[0026] Among them, F is the biological regulation parameter, Δaj is the DO difference, and Δbj is the COD difference.

[0027] Furthermore, when the DO difference is greater than the warning threshold Δa and the COD difference is greater than the warning threshold Δb, the calculation module calculates the biological regulation parameter according to the following formula and sets:

[0028]

[0029] Among them, F is the biological regulation parameter, Δaj is the DO difference, Δbj is the COD difference, α1 is a constant, 1<α1<1.2.

[0030] Furthermore, the calculation module redetermines the amount of microorganisms put into the biodegradation box according to the biological regulation parameter.

[0031] Compared with the prior art, the beneficial effect of the present invention lies in that DO value and COD value are important indicators reflecting water quality. The present invention monitors the DO value and COD value of sewage samples in the biodegradation box and at the drain in real time, and forms a parameter qualified data set and a parameter unqualified data set with the detected data, constructs the optimal parameters of the DO value and the COD value through the parameter qualified data set, constructs the warning threshold of the DO value and the warning threshold of the COD value through the parameter unqualified data set, calculates the difference between the detected value and the corresponding optimal parameter, adjusts the treatment parameters during sewage treatment according to the size relationship between the calculated difference and the corresponding warning threshold, and sets a variety of adjustment methods according to the size relationship between the difference and the corresponding warning threshold, which is more in line with the actual situation in the sewage treatment process, thereby improving the sewage treatment efficiency.

[0032] Furthermore, the present invention sets up different data sets to respectively store the detection data corresponding to the sewage at the drain outlet that meets the treatment standards and the detection data corresponding to the sewage that does not meet the treatment standards, so that targeted adjustments can be made to the sewage treatment through data analysis, thereby further improving the sewage treatment efficiency.

[0033] Furthermore, by determining the minimum DO threshold and the maximum COD threshold, the present invention can effectively grasp the value range of DO and COD values ​​during sewage treatment, and can provide timely warnings when DO and COD values ​​change significantly.

[0034] Furthermore, the present invention can clarify the degree of excess of DO value and COD value by setting the warning threshold Δa of DO value and the warning threshold Δb of COD value of the biodegradation box, and determine targeted solutions according to different degrees of excess, thereby improving sewage treatment efficiency.

[0035] Furthermore, the present invention increases the aeration volume in the biodegradation box when the DO value is low. Since the DO value is a dissolved oxygen data value, when the dissolved oxygen data value in the water is low, it is not conducive to the biodegradation of organic matter in the sewage by microorganisms. Therefore, by increasing the aeration volume, the dissolved oxygen in the sewage is increased, thereby improving the biodegradation of organic matter in the sewage. Different adjustment coefficients are used to determine the aeration volume according to the relationship between the DO difference and the warning threshold Δa, so that the adjustment is more accurate and targeted, and the sewage treatment efficiency is further improved.

[0036] Furthermore, the present invention increases the treatment time of the sewage by the biodegradation box when the COD value is high. The COD value is the chemical oxygen demand. When the COD value is high, it means that the degradation degree of organic matter in the sewage is insufficient. Therefore, by increasing the treatment time of the sewage, the biodegradation of organic matter in the sewage is improved, and different adjustment coefficients are used to determine the treatment time according to the relationship between the COD difference and the warning threshold Δb, so that the adjustment is more accurate and targeted, and the sewage treatment efficiency is further improved.

[0037] Furthermore, the present invention introduces a biological regulation parameter, which is a representative parameter of the degree of sewage treatment, and is related to the DO value and the COD value. When the biological regulation parameter is larger, the degree of treatment of organic matter in the sewage is lower. The present invention calculates the biological regulation parameter when the DO difference is greater than the warning threshold Δa and / or the COD difference is greater than the warning threshold Δb. At this time, after completing the adjustment of the aeration volume and / or the treatment time, the amount of microorganisms added is adjusted to improve the sewage treatment efficiency. By calculating the biological regulation parameter, a quantitative basis is provided for redetermining the amount of microorganisms added, avoiding the situation of excessive or insufficient microorganisms added. When the DO difference is greater than the warning threshold Δa and the COD difference is greater than the warning threshold Δb, a constant α1 is introduced when calculating the biological regulation parameter. When the amount of microorganisms added is redetermined, the amount of microorganisms added is correspondingly increased, further improving the sewage treatment efficiency. The present invention performs targeted regulation in the sewage treatment process according to different detection values, thereby improving the sewage treatment efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic diagram of a sewage treatment vehicle for multi-dimensional data collection according to an embodiment of the present invention;

[0039] Figure 2 A structural block diagram of a sewage treatment vehicle for multi-dimensional data collection according to an embodiment of the present invention;

[0040] Figure 3 This is a structural block diagram of a central control processor in a sewage treatment vehicle for multi-dimensional data collection according to an embodiment of the present invention;

[0041] In the figure: biodegradation box 1, sedimentation and filtration box 2, sampling device 3, detection device 4, central control processor 5, drain outlet 6, control valve 7. DETAILED DESCRIPTION

[0042] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0044] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0045] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] See also Figure 1-Figure 3 As shown, the sewage treatment vehicle for multi-dimensional data collection of the present invention comprises:

[0047] A sewage treatment device for biodegrading sewage, the sewage treatment device at least comprising a biodegradation tank 1 for biodegrading sewage;

[0048] This embodiment provides an optional method, in which a biodegradation box 1 and a sedimentation filter box 2 are set at the same time, and the biodegradation box 1 and the sedimentation filter box 2 are connected by a pipeline. A control valve 7 is set at the connection between the biodegradation box 1 and the sedimentation filter box 2 and at the drain outlet 6.

[0049] The sampling device 3 is used to collect sewage samples in the biodegradation box 1 and at the drain outlet 6 at the same time according to the set sampling frequency;

[0050] A detection device 4, which is connected to the sampling device 3 and is used to detect the DO value and COD value of the sewage sample collected by the sampling device 3;

[0051] A central control processor 5, which is connected to the sewage treatment device and the detection device 4 respectively, and includes a data storage module, a parameter determination module and a calculation module which are interconnected;

[0052] The data storage module is used to store the data detected by the detection device 4 according to a set storage rule;

[0053] The parameter determination module constructs the optimal parameters of the DO value and the COD value of the biodegradation box 1 and the warning thresholds of the DO value and the COD value according to the data stored in the data storage module;

[0054] The calculation module is used to determine whether to adjust the aeration amount in the biodegradation box 1 based on the detected DO value of the biodegradation box 1 and the optimal parameter of the DO value, and reset the aeration amount in the biodegradation box 1 based on the warning threshold of the DO value;

[0055] and determining whether to adjust the treatment time of the sewage by the biodegradation box 1 based on the detected COD value of the biodegradation box 1 and the optimal parameter of the COD value, and resetting the treatment time of the sewage by the biodegradation box 1 based on the warning threshold of the COD value;

[0056] And, when the difference between the DO value and / or COD value of the biodegradation box 1 and the corresponding optimal parameter is greater than the corresponding warning threshold, the biological regulation parameter is calculated based on the difference and the warning threshold, and the amount of microorganisms added to the biodegradation box 1 is re-determined based on the biological regulation parameter.

[0057] DO value and COD value are important indicators reflecting water quality. The present invention monitors the DO value and COD value of sewage samples in the biodegradation box 1 and at the drain outlet 6 in real time, and forms a parameter qualified data set and a parameter unqualified data set with the detected data, constructs the optimal parameters of the DO value and the COD value through the parameter qualified data set, constructs the warning threshold of the DO value and the warning threshold of the COD value through the parameter unqualified data set, calculates the difference between the detected value and the corresponding optimal parameter, adjusts the treatment parameters during sewage treatment according to the size relationship between the calculated difference and the corresponding warning threshold, and sets a variety of adjustment methods according to the size relationship between the difference and the corresponding warning threshold, which is more in line with the actual situation in the sewage treatment process, thereby improving the sewage treatment efficiency.

[0058] It should be understood that the sewage entering the biodegradation box 1 can be pre-treated in advance, such as removing suspended solid pollutants in the sewage, and the technical means that can be used include physical methods such as interception, sedimentation and oil separation. This embodiment mainly monitors and controls the treatment process in the biodegradation box 1. The pretreatment stage can be set according to actual needs, and this embodiment does not limit it.

[0059] It should be understood that the sewage treated in the biodegradation box 1 can be further treated to further remove suspended solids, inorganic and organic salts and other pollutants in the sewage. The technical means that can be used include deep treatment such as sand filtration or activated carbon filtration, disinfection using chlorine or ozone, adsorption or coagulation precipitation. This embodiment mainly monitors and controls the treatment process in the biodegradation box 1. The treatment stage after biodegradation can be set according to actual needs, and this embodiment does not limit it.

[0060] In this embodiment, the sampling device 3 includes at least two sewage samplers for collecting sewage samples in the biodegradation box 1 and at the drain outlet 6 respectively. This embodiment does not limit the sewage sampler, and it only needs to be able to achieve sewage sampling.

[0061] Specifically, the sampling frequency of the sampling device 3 is preferably 12 times / day, that is, sampling is performed once every 2 hours, and can also be set according to actual needs.

[0062] In this embodiment, the detection device 4 at least includes an online DO meter and an online COD measuring instrument.

[0063] The present embodiment does not limit the specific structure of the data storage module. The database is a commonly used data storage form and is a mature existing technology, which will not be described in detail here.

[0064] In this embodiment, the specific structure of the central control processor is not limited. Each unit therein can be composed of logic components. The logic components can be field programmable logic components, microprocessors, processors used in computers, etc.

[0065] Specifically, the data storage module stores data according to the set storage rules, including:

[0066] If the sewage at the drain outlet 6 detected by the detection device 4 meets the treatment standard, the data storage module stores the detected data into the parameter qualified data set;

[0067] If the sewage at the drain outlet 6 detected by the detection device 4 does not meet the treatment standard, the data storage module stores the detected data in the parameter unqualified data set.

[0068] It can be understood that the sewage at the drain outlet 6 meets the treatment standard, which means that the DO value and COD value of the sewage sample at the drain outlet 6 meet the pre-set treatment requirements, which can be set specifically with reference to the local sewage discharge standard.

[0069] It can be understood that the data detected by the detection device 4 include the DO value and COD value of the sewage sample in the biodegradation box 1 , and also include the DO value and COD value of the sewage sample at the drain outlet 6 .

[0070] The present invention sets different data sets to respectively store the detection data corresponding to the sewage at the drain outlet 6 that meets the treatment standards and the detection data corresponding to the sewage that does not meet the treatment standards, so that targeted adjustments can be made to the sewage treatment through data analysis, further improving the sewage treatment efficiency.

[0071] Specifically, the parameter qualified data set and the parameter unqualified data set include a plurality of data units, and the data units are used to store the detection data of the sewage sample in the biodegradation box 1 and the detection data of the sewage sample at the drain port 6 respectively.

[0072] Specifically, the parameter determination module constructs optimal parameters according to the parameter qualified data set, and the optimal parameters include the DO minimum threshold and the COD maximum threshold of the biodegradation box 1.

[0073] In this embodiment, when constructing the optimal parameters, such as determining the DO minimum threshold of the biodegradation box 1, the DO value of the sewage sample of the biodegradation box 1 stored in the parameter qualified data set is taken as a random variable, and the random variable obeys the probability density function, and then a normal distribution curve can be constructed according to the probability density function, and the 95% confidence interval of the normal distribution curve is determined, and the DO value corresponding to the midpoint of the 95% confidence interval is determined as the DO minimum threshold. Constructing a probability density function and constructing a normal distribution curve based on a probability density function are commonly used technical means in statistics, which will not be repeated here. The highest COD threshold is determined in the same way.

[0074] The present invention can effectively grasp the value range of DO value and COD value in the sewage treatment process by determining the DO minimum threshold value and the COD maximum threshold value, and can give a timely warning when the DO value and the COD value change significantly.

[0075] Specifically, the parameter determination module constructs a warning threshold according to the parameter unqualified data set, and the warning threshold includes a warning threshold Δa of the DO value of the biodegradation box 1 and a warning threshold Δb of the COD value.

[0076] In this embodiment, when determining the warning threshold Δa of the DO value of the biodegradation box 1, a normal distribution curve is constructed with the DO value of the sewage sample of the biodegradation box 1 stored in the parameter unqualified data set as a random variable, and the DO value corresponding to the upper limit of the 90% confidence interval of the normal distribution curve is determined as the warning threshold Δa.

[0077] In this embodiment, when determining the warning threshold Δb of the COD value of the biodegradation box 1, the COD value of the sewage sample of the biodegradation box 1 stored in the parameter unqualified data set is used as a random variable to construct a normal distribution curve, and the COD value corresponding to the lower limit of the 90% confidence interval of the normal distribution curve is determined as the warning threshold Δb.

[0078] The present invention sets the warning threshold Δa of the DO value and the warning threshold Δb of the COD value of the biodegradation box 1, so as to clarify the degree of excess of the DO value and the COD value, and determine targeted solutions according to different degrees of excess, thereby improving the sewage treatment efficiency.

[0079] Specifically, the detection device 4 detects the DO value and COD value of the sewage sample in the biodegradation box 1. When the DO value is less than the DO minimum threshold, the calculation module calculates the DO difference between the DO value and the DO minimum threshold, and resets the aeration amount in the biodegradation box 1 according to the comparison relationship between the DO difference and the warning threshold Δa.

[0080] Specifically, the calculation module compares the DO difference with the alert threshold Δa, where:

[0081] If the DO difference is greater than the warning threshold Δa, the calculation module uses the adjustment coefficient 1.3 to determine the aeration amount P in the biodegradation box 1, P=P0×1.3; P0 is the current aeration amount in the biodegradation box 1;

[0082] If the DO difference is less than or equal to the warning threshold Δa, the calculation module uses the adjustment coefficient 1.1 to determine the aeration amount P in the biodegradation box 1, where P=P0×1.1.

[0083] The present invention increases the aeration volume in the biodegradation box 1 when the DO value is low. Since the DO value is a dissolved oxygen data value, when the dissolved oxygen data value in the water is low, it is not conducive to the biodegradation of organic matter in the sewage by microorganisms. Therefore, by increasing the aeration volume, the dissolved oxygen in the sewage is increased, thereby improving the biodegradation of organic matter in the sewage. Different adjustment coefficients are used to determine the aeration volume according to the relationship between the DO difference and the warning threshold Δa, so that the adjustment is more accurate and targeted, and the sewage treatment efficiency is further improved.

[0084] Specifically, when the COD value of the sewage sample detected in the biodegradation box 1 is greater than the COD maximum threshold, the calculation module determines that the treatment time of the sewage by the biodegradation box 1 needs to be adjusted, and calculates the COD difference between the COD value and the COD maximum threshold, and resets the treatment time of the sewage by the biodegradation box 1 according to the comparison relationship between the COD difference and the warning threshold Δb.

[0085] Specifically, the calculation module compares the COD difference with the alert threshold Δb, where:

[0086] If the COD difference is greater than the warning threshold Δb, the calculation module uses the adjustment coefficient 1.3 to determine the treatment time T of the biodegradation box 1 for the sewage, T=T0×1.3; T0 is the current treatment time of the biodegradation box 1 for the sewage;

[0087] If the COD difference is less than or equal to the warning threshold Δb, the calculation module uses the adjustment coefficient 1.1 to determine the treatment time T of the sewage by the biodegradation box 1, T=T0×1.1.

[0088] The present invention increases the treatment time of sewage by the biodegradation box 1 when the COD value is high. The COD value is chemical oxygen demand. When the COD value is high, it means that the degradation degree of organic matter in the sewage is insufficient. Therefore, by increasing the treatment time of sewage, the biodegradation of organic matter in the sewage is improved, and different adjustment coefficients are used to determine the treatment time according to the size relationship between the COD difference and the warning threshold Δb, so that the adjustment is more accurate and targeted, and the sewage treatment efficiency is further improved.

[0089] Specifically, when the DO difference is greater than the warning threshold Δa, or the COD difference is greater than the warning threshold Δb, the calculation module calculates the biological regulation parameter according to the following formula and sets:

[0090]

[0091] Among them, F is the biological regulation parameter, Δaj is the DO difference, and Δbj is the COD difference.

[0092] Specifically, when the DO difference is greater than the warning threshold Δa and the COD difference is greater than the warning threshold Δb, the calculation module calculates the biological regulation parameter according to the following formula and sets:

[0093]

[0094] Among them, F is the biological regulation parameter, Δaj is the DO difference, Δbj is the COD difference, α1 is a constant, 1<α1<1.2.

[0095] Specifically, the calculation module redetermines the amount of microorganisms put into the biodegradation box 1 according to the biological regulation parameter.

[0096] Specifically, the calculation module redefines the amount of microorganisms put into the biodegradation box 1 as U, where U=F×U0, and U0 is the current amount of microorganisms put into the biodegradation box 1.

[0097] It can be understood that the microorganisms placed in the biodegradation box 1 can be biological fillers.

[0098] The present invention introduces a biological regulation parameter, which is a representative parameter of the degree of sewage treatment, and is related to the DO value and the COD value. When the biological regulation parameter is larger, the degree of treatment of organic matter in the sewage is lower. The present invention calculates the biological regulation parameter when the DO difference is greater than the warning threshold Δa and / or the COD difference is greater than the warning threshold Δb. At this time, after the adjustment of the aeration volume and / or the treatment time is completed, the amount of microorganisms added is adjusted to improve the sewage treatment efficiency. By calculating the biological regulation parameter, a quantitative basis is provided for redetermining the amount of microorganisms added, avoiding the situation of too much or too little microorganisms added. When the DO difference is greater than the warning threshold Δa and the COD difference is greater than the warning threshold Δb, a constant α1 is introduced when calculating the biological regulation parameter. When the amount of microorganisms added is redetermined, the amount of microorganisms added is correspondingly increased, and the sewage treatment efficiency is further improved. The present invention performs targeted regulation in the sewage treatment process according to different detection values, thereby improving the sewage treatment efficiency.

[0099] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0100] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A sewage treatment vehicle for multi-dimensional data collection, characterized in that: include: A sewage treatment device for biodegrading sewage, the sewage treatment device comprising at least one biodegradation tank; A sampling device for simultaneously collecting sewage samples in the biodegradation box and at the drain outlet according to a set sampling frequency; A detection device, connected to the sampling device, for detecting the DO value and COD value of the sewage sample; A central control processor, which is connected to the sewage treatment device and the detection device respectively, and includes a data storage module, a parameter determination module and a calculation module that are interconnected; The data storage module is used to store the data detected by the detection device according to a set storage rule; The parameter determination module constructs the optimal parameters of the DO value and the COD value of the biodegradation box, and the warning thresholds of the DO value and the COD value according to the data stored in the data storage module; The calculation module is used to determine whether to adjust the aeration amount in the biodegradation box based on the DO value and the optimal parameter of the DO value, and reset the aeration amount in the biodegradation box based on the warning threshold of the DO value; Determining whether to adjust the treatment time of the sewage by the biodegradation box based on the COD value and the optimal parameter of the COD value, and resetting the treatment time of the sewage by the biodegradation box based on the warning threshold of the COD value; And, when the difference between the DO value and / or COD value of the biodegradation box and the corresponding optimal parameter is greater than the corresponding warning threshold, the biological regulation parameter is calculated based on the difference and the warning threshold, and the amount of microorganisms added to the biodegradation box is re-determined based on the biological regulation parameter.

2. The sewage treatment vehicle for multi-dimensional data collection according to claim 1 is characterized in that: The data storage module stores data according to the set storage rules, including: If the sewage at the drain outlet detected by the detection device meets the treatment standard, the data storage module stores the detected data into the parameter qualified data set; If the sewage at the drain outlet detected by the detection device does not meet the treatment standard, the data storage module stores the detected data in a parameter unqualified data set.

3. The sewage treatment vehicle for multi-dimensional data collection according to claim 2 is characterized in that: The parameter qualified data set and the parameter unqualified data set include a plurality of data units, and the data units are used to store the detection data of the sewage sample in the biodegradation box and the detection data of the sewage sample at the drain outlet respectively.

4. The sewage treatment vehicle for multi-dimensional data collection according to claim 2 or 3, characterized in that: The parameter determination module constructs optimal parameters according to the parameter qualified data set, and the optimal parameters include the DO minimum threshold and the COD maximum threshold of the biodegradation box.

5. The sewage treatment vehicle for multi-dimensional data collection according to claim 4 is characterized in that: The parameter determination module constructs a warning threshold according to the parameter unqualified data set, and the warning threshold includes a warning threshold Δa of the DO value of the biodegradation box and a warning threshold Δb of the COD value.

6. The sewage treatment vehicle for multi-dimensional data collection according to claim 5, characterized in that: When the DO value of the sewage sample in the biodegradation box detected is less than the DO minimum threshold, the calculation module determines that the aeration amount in the biodegradation box needs to be adjusted, calculates the DO difference between the DO value and the DO minimum threshold, and resets the aeration amount in the biodegradation box according to the comparison relationship between the DO difference and the warning threshold Δa.

7. The sewage treatment vehicle for multi-dimensional data collection according to claim 6, characterized in that: When the COD value of the sewage sample in the detected biodegradation box is greater than the COD maximum threshold, the calculation module determines that the treatment time of the sewage by the biodegradation box needs to be adjusted, and calculates the COD difference between the COD value and the COD maximum threshold, and resets the treatment time of the sewage by the biodegradation box according to the comparison relationship between the COD difference and the warning threshold Δb.

8. The sewage treatment vehicle for multi-dimensional data collection according to claim 7, characterized in that: When the DO difference is greater than the warning threshold Δa, or the COD difference is greater than the warning threshold Δb, the calculation module calculates the biological regulation parameter according to the following formula and sets: , where F is the biological regulation parameter, Δaj is the DO difference, and Δbj is the COD difference.

9. The sewage treatment vehicle for multi-dimensional data collection according to claim 7, characterized in that: When the DO difference is greater than the warning threshold Δa and the COD difference is greater than the warning threshold Δb, the calculation module calculates the biological regulation parameter according to the following formula and sets: , where F is the biological regulation parameter, Δaj is the DO difference, Δbj is the COD difference, α1 is a constant, 1<α1<1.

2.

10. The sewage treatment vehicle for multi-dimensional data collection according to claim 8 or 9, characterized in that: The calculation module redetermines the amount of microorganisms put into the biodegradation box according to the biological regulation parameter.

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