Wastewater monitoring method and system based on big data

Abstract

The invention provides a wastewater monitoring method based on big data, and the method comprises the steps: obtaining first data which is data of a sewage draining exit during standard production; acquiring the discharge capacity based on the opening number of the drain outlets and the first noise value corresponding to each drain outlet; acquiring second data; third data are obtained, the third data are data obtained in real time, and the third data comprise the sewage draining exit opening number, the second noise value, the second oxygen demand and the second pH value which are obtained in real time; and a target model is constructed based on the first data and the second data, the target model is used for comparing the obtained first data and second data with the third data and outputting a comparison result, and the production water demand is monitored in real time according to the comparison result. The invention also provides a wastewater monitoring system for big data and electronic equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater monitoring, and in particular to a wastewater monitoring method and system based on big data. Background Art

[0002] At present, wastewater monitoring methods usually rely on manual sampling and laboratory analysis. The manual sampling cycle is long and cannot reflect the wastewater discharge status in real time, resulting in environmental pollution and waste of water resources when problems are discovered. Summary of the invention

[0003] The embodiments of the present invention provide a wastewater monitoring method and system based on big data, aiming to solve or partially solve the problems existing in the above-mentioned background technology.

[0004] In order to solve the above-mentioned technical problems, the present invention is achieved as follows:

[0005] In the first aspect, an embodiment of the present invention provides a wastewater monitoring method based on big data, a road wastewater monitoring method based on big data, the method comprising: obtaining first data, the first data being data of a sewage outlet during standardized production, the first data comprising the number of sewage outlets opened and a first noise value corresponding to each sewage outlet, the sewage outlet being connected and communicated with a wastewater pool; obtaining sewage discharge based on the number of sewage outlets opened and the first noise value corresponding to each sewage outlet; obtaining second data, the second data being a first oxygen demand and a first pH value of target wastewater during standardized production, the target wastewater The method comprises the following steps: obtaining the wastewater in the wastewater pool; obtaining third data, wherein the third data is data obtained in real time, and the third data includes the number of sewage outlet openings, a second noise value, a second oxygen demand, and a second pH value obtained in real time, wherein the second noise value is a noise value obtained in real time, the second oxygen demand is an oxygen demand obtained in real time, and the second pH value is a pH value obtained in real time; wherein a target model is constructed based on the first data and the second data, and the target model is used to compare the first and second data obtained with the third data and output a comparison result, and monitor the production water demand in real time according to the comparison result.

[0006] In combination with the first aspect, in some embodiments, each of the sewage outlets has a data ratio A, satisfying: A=(second noise value / first noise value+second oxygen demand / first oxygen demand+second pH / first pH) / 3; wherein the comparison result output by the target model is B, satisfying: B=(A1+A2+...+An) / n+the number of sewage outlet openings obtained in real time / the number of openings; wherein when 1.2<B, the production water is more and the production water consumption is controlled to decrease, and when B>1.5, the production water is less and the production water consumption is controlled to increase.

[0007] In combination with the first aspect, in some embodiments, the distance L1 between the sewage outlet and the wastewater level in the wastewater pool is obtained, the first noise value corresponding to the sewage outlet is d, the sewage discharge of each sewage outlet is Q, and the following conditions are satisfied: ; The discharge volume of each of the sewage outlets is the total discharge volume, and the total discharge volume P satisfies: P=Q1+Q2+....+Qn.

[0008] In combination with the first aspect, in some embodiments, a monitoring area is set in the wastewater pool, the wastewater in the monitoring area is the target wastewater, the width of the monitoring area is W, and the horizontal distance from the monitoring area to the sewage outlet is L2, satisfying: 4 / W≤L2≤2 / W.

[0009] In combination with the first aspect, in some embodiments, a first zone, a second zone and a third zone are set in the monitoring area, and the first zone, the second zone and the third zone are arranged sequentially in the height direction, the depth of the first zone is h1, the depth of the second zone is h2, and the depth of the third zone is h3, satisfying: h1=h2 / 2=h3; wherein the wastewater in the second zone is the target wastewater.

[0010] In combination with the first aspect, in some embodiments, it also includes: monitoring floating objects in the monitoring area, the floating objects are impurities that are insoluble in water and float on water, the area occupied by the floating objects is S1, the area of ​​the monitoring area is S2, and the ratio of S1 to S2 is monitored; wherein under the condition of 1.2≤B≤1.5, when S1<S2 / 10, the production water is less and the production water consumption is controlled to increase, and when S1>S2 / 10, the production water is more and the production water consumption is controlled to decrease.

[0011] According to a second aspect of an embodiment of the present invention, a system for a wastewater monitoring method based on big data is provided, the system comprising: an execution body, the execution body being suitable for comparing the first data and the second data obtained with the third data and outputting a comparison result; a first execution unit, the first execution unit being communicatively connected to the execution body, the first execution unit being used to obtain first data, the first data being data of a sewage outlet, the first data including the number of openings of the sewage outlet and the first noise value corresponding to each of the sewage outlets, the sewage outlet being connected and connected to a wastewater pool; a second execution unit, the second execution unit being communicatively connected to the execution body, the second execution unit being suitable for obtaining a sewage discharge amount based on the number of openings of the sewage outlet and the first noise value corresponding to each sewage outlet; a third execution unit, the third execution unit being communicatively connected to the execution body, the third execution unit being suitable for obtaining third data, the third data being data obtained in real time, the third data including the number of openings of the sewage outlet, the second noise value, the second oxygen demand and the second pH value obtained in real time, the second noise value being the noise value obtained in real time, the second oxygen demand being the oxygen demand obtained in real time, and the second pH value being the pH value obtained in real time.

[0012] In combination with the second aspect, some feasible implementations further include: a signal alarm, which is communicatively connected to the execution entity, and / or the signal alarm is communicatively connected to a mobile terminal; wherein the signal alarm is suitable for operating and issuing an alarm when the production water demand is abnormal, and when the signal alarm is operating, relevant personnel can adjust the production water demand.

[0013] In combination with the second aspect, in some feasible embodiments, the second determination module includes: also includes: an execution switch, the execution switch is arranged on the execution body, the execution switch is suitable for controlling the opening and closing of the execution body, and when there is no production, relevant personnel can control the execution body to shut down through the execution switch to facilitate relevant personnel to clean and maintain the production line.

[0014] A third aspect of an embodiment of the present invention proposes an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; the memory is used to store computer programs; and the processor is used to implement the method steps proposed in the first aspect of the embodiment of the present invention when executing the program stored in the memory.

[0015] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method provided in the first aspect of the embodiment of the present invention.

[0016] The embodiments of the present invention include the following advantages: the number of sewage outlets opened, noise value, oxygen demand, pH value and other data are obtained in real time through sensors and online monitoring equipment to ensure that the system can immediately respond to changes in water quality; and when the system detects that the water quality parameters deviate from the normal range, it can respond quickly and remind relevant personnel to take timely measures through signal alarms to prevent the spread of pollution; at the same time, by calculating the data ratio A of each sewage outlet, the deviation between the current water quality status and historical data can be quantified to provide a scientific basis for subsequent decision-making; and at the same time, the real-time data is compared with the historical data, and the comparison result B is output to help decision makers quickly understand the changing trend of the current production water demand; of course, according to the different threshold settings of the comparison result B, the system can automatically adjust the production water consumption. When the A value is between 1.2 and 1.5, the production water is reduced; when the A value is greater than or equal to 1.5, the production water is increased. This dynamic adjustment mechanism is conducive to optimizing the use of water resources and reducing production costs. In addition, by monitoring the ratio of the area S1 of floating objects in the monitoring area to the total area S2, the production water usage can be further judged, and the production water consumption can be adjusted accordingly to ensure that the water quality meets the standards. In particular, by accurately controlling the production water consumption, unnecessary waste of water resources can be avoided, production efficiency can be improved, and the operating costs of the enterprise can be reduced. Timely monitoring and controlling of wastewater discharge and water quality can help prevent environmental pollution accidents and protect the ecological environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a flow chart of a wastewater monitoring method based on big data in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Big data refers to a large, complex and diverse data set, which usually has three characteristics: volume, variety and velocity. Big data is mainly generated from various data collection channels such as the Internet, sensors, and social media. With the continuous development of technology, the application of big data in the field of transportation has great potential and possibility.

[0021] First, this application proposes a wastewater monitoring method based on big data, please refer to Figure 1 , including the following steps:

[0022] S100 obtains first data, which is data of sewage outlets during standardized production. The first data includes the number of sewage outlets opened and a first noise value corresponding to each sewage outlet. The sewage outlet is connected and communicated with a wastewater pool.

[0023] It is understandable that, first of all, the system needs to collect basic data of the sewage outlets, that is, the system needs to collect data of the sewage outlets during standard production, and the data of the sewage outlets during standard production include the number of sewage outlets opened and the first noise value corresponding to each sewage outlet. These data reflect the basic conditions of wastewater discharge.

[0024] S200 obtains the sewage discharge amount based on the number of sewage discharge outlets opened and the first noise value corresponding to each sewage discharge outlet.

[0025] According to the number of sewage outlets opened and the corresponding noise value, the sewage discharge of each sewage outlet is calculated.

[0026] S300 obtains second data, where the second data is a first oxygen demand and a first pH value of target wastewater during standard production, and the target wastewater is wastewater in a wastewater pool.

[0027] Next, the system needs to obtain the water quality parameters of the target wastewater in the wastewater pool during standardized production, including the first oxygen demand (BOD) and the first pH value (pH value), which reflect the degree of pollution of the wastewater.

[0028] S400 obtains the third data, which is data obtained in real time. The third data includes the number of sewage outlet openings obtained in real time, a second noise value, a second oxygen demand and a second pH value. The second noise value is the noise value obtained in real time, the second oxygen demand is the oxygen demand obtained in real time, and the second pH value is the pH value obtained in real time.

[0029] The system obtains the number of sewage outlets opened, noise value, oxygen demand and pH in real time. These data are used to monitor the dynamic changes of wastewater discharge in real time.

[0030] S500 constructs a target model based on the first data and the second data. The target model is used to compare the acquired first data and the second data with the third data and output a comparison result, so as to monitor the production water demand in real time according to the comparison result.

[0031] Based on the collected first data (basic information of the sewage outlet) and second data (water quality parameters of the wastewater in the wastewater pool), a target model is constructed. The function of the target model is to compare and analyze the third data obtained in real time with the historical data and output the comparison results. According to the comparison results output by the target model, the system can monitor the demand for production water in real time and adjust the production water consumption accordingly to ensure that the wastewater discharge meets the environmental protection standards. At the same time, the actual water consumption in production can be controlled, thereby reducing the waste of water resources while ensuring normal production.

[0032] It is understandable that the discharge volume is estimated by monitoring the noise value at the sewage outlet. Generally speaking, the higher the noise value, the faster the wastewater flows or the larger the flow rate, and vice versa. This method does not require direct measurement of the flow rate, but estimates it through indirect means, which simplifies the complexity of the monitoring equipment.

[0033] By monitoring the oxygen demand (BOD) and pH value, we can understand the degree of wastewater pollution. BOD reflects the content of organic matter in the water, and pH value reflects the acid-base nature of the water body. The real-time data (third data) is compared with the historical data (first data and second data) to find out the difference between the current water quality and the normal situation. If the difference is large, it indicates that there may be abnormal discharge or unreasonable production water consumption.

[0034] By building a predictive model, we can analyze the relationship between real-time data and historical data and predict the trend of wastewater discharge in the future. At the same time, based on the prediction results, the system can automatically or manually adjust the production water consumption to ensure that wastewater discharge meets environmental protection requirements.

[0035] As a result, the system can monitor wastewater discharge in real time and issue warnings in time when abnormalities are found, helping enterprises to take prompt measures to avoid environmental pollution caused by excessive emissions. Moreover, by dynamically adjusting the amount of water used in production, it not only guarantees production needs but also avoids waste of water resources, thus achieving the goal of water conservation and emission reduction. At the same time, it ensures that wastewater discharge complies with national or local environmental protection standards, reducing the legal risks faced by enterprises due to illegal emissions.

[0036] According to some embodiments of the present invention, each sewage outlet has a data ratio A, satisfying: A=(second noise value / first noise value+second oxygen demand / first oxygen demand+second pH / first pH) / 3; wherein the comparison result output by the target model is B, satisfying: B=(A1+A2+...+An) / n+number of sewage outlet openings obtained in real time / number of openings; wherein when 1.2<B, more production water is used and the production water consumption is controlled to decrease, and when B>1.5, less production water is used and the production water consumption is controlled to increase.

[0037] It should be noted that in the actual production process, the factory will control the number of open sewage outlets according to the actual production tasks, that is, reduce the number of open sewage outlets when the production tasks are light, and increase the number of open sewage outlets when the production tasks are heavy. For example, n can be 1, 2, 3, or any positive integer greater than 0. For example, when the number of open sewage outlets is 3 and the total number of sewage outlets is 20, according to B=(A1+A2+...+An) / n+the number of open sewage outlets obtained in real time / the number of open sewage outlets, it can be obtained that B=(A1+A2+A3) / 3+3 / 20 at this time. It can be understood that each sewage outlet has a data ratio B, which is used to represent the relative change between the current real-time data (the second noise value, the second oxygen demand, the second pH) and the historical benchmark data (the first noise value, the first oxygen demand, the first pH). According to the different intervals of the data ratio B, the system will adopt different production water consumption adjustment strategies: when 1.2<B, it is considered that the production water consumption is large, and the production water consumption should be controlled to decrease; when B>1.5, it is considered that the production water consumption is small, and the production water consumption should be controlled to increase; when 1.2≤B≤1.5, the production water consumption is appropriate.

[0038] According to some embodiments of the present invention, the distance L1 between the sewage outlet and the wastewater level in the wastewater pool is obtained, the first noise value corresponding to the sewage outlet is d, and the sewage discharge of each sewage outlet is Q, which satisfies: ; The discharge volume of each sewage outlet is the total discharge volume, the total discharge volume P, which satisfies: P=Q1+Q2+....+Qn.

[0039] It can be understood that by monitoring the noise value d at the sewage outlet, the sewage discharge volume Q can be indirectly calculated. There is a certain correlation between the noise value and the wastewater flow rate. The larger the noise value, the larger the wastewater flow rate. The distance L1 as the denominator can play a standardization role, making the sewage discharge calculation of sewage outlets at different locations more accurate. The larger L1 is, the longer the flow path of the wastewater after entering the wastewater pool, thereby affecting the mixing and diffusion of the wastewater.

[0040] Therefore, by combining the noise value d and the distance L1, the discharge volume Q of each sewage outlet can be obtained, and then the total discharge volume P can be summarized. This calculation method makes the estimation of wastewater discharge more accurate.

[0041] According to some embodiments of the present invention, a monitoring area is set in the wastewater pool, the wastewater in the monitoring area is the target wastewater, the width of the monitoring area is W, and the horizontal distance from the monitoring area to the sewage outlet is L2, satisfying: 4 / W≤L2≤2 / W.

[0042] It is understandable that by setting up a specific monitoring area in the wastewater pool, it can ensure that the collected data is more representative and reflects the overall water quality in the wastewater pool. The selection of the monitoring area should take into account the flow pattern and mixing of the wastewater to ensure the accuracy and reliability of the data. The horizontal distance L2 between the monitoring area and the sewage outlet is set to a range, that is, 4 / W≤L2≤2 / W. This distance is set to ensure that the wastewater in the monitoring area has been fully mixed and can truly reflect the water quality of the entire wastewater pool.

[0043] It should be noted that if the distance is too close, the monitoring results may be too greatly affected by local emissions, and if the distance is too far, the monitoring results may lag behind the actual emissions.

[0044] According to some embodiments of the present invention, a first zone, a second zone and a third zone are set in the monitoring area, and the first zone, the second zone and the third zone are arranged sequentially in the height direction. The depth of the first zone is h1, the depth of the second zone is h2, and the depth of the third zone is h3, satisfying: h1=h2 / 2=h3; wherein the wastewater in the second zone is the target wastewater.

[0045] In some embodiments, by setting three areas at different heights within the monitoring area, the water quality in the wastewater pool can be fully monitored. The areas at different heights reflect the water quality characteristics at different levels in the wastewater pool, which helps to more accurately assess the water quality of the entire wastewater pool.

[0046] The depth h1 of the first zone is half of the depth h2 of the second zone, and the depth h3 of the third zone is also equal to h1. This setting ensures the coordination of depth ratios between different zones, which helps to ensure the representativeness of the monitoring data.

[0047] The wastewater in the second zone is defined as target wastewater, which means that the water quality data in this area will be used as the main reference. The second zone is located in the middle of the wastewater pool and can better reflect the water quality status of the entire wastewater pool.

[0048] According to some embodiments of the present invention, the monitoring method further includes: monitoring floating objects in the monitoring area, the floating objects are impurities that are insoluble in water and float on water, the area occupied by the floating objects is S1, the area of ​​the monitoring area is S2, and the ratio of S1 to S2 is monitored; wherein under the condition of 1.2≤B≤1.5, when S1<S2 / 10, the production water is less and the production water consumption is controlled to increase, and when S1>S2 / 10, the production water is more and the production water consumption is controlled to decrease. It should be noted that when S1=S2 / 10, the current production water consumption is maintained.

[0049] It is understood that the water-insoluble impurities floating on the water surface in the monitoring area are monitored through image recognition technology or other physical methods, and the area S1 occupied by these impurities is calculated. The presence of floating objects usually reflects some problems in the wastewater treatment process, such as the failure of suspended matter to be completely settled or filtered. The floating object area S1 is compared with the total area S2 of the monitoring area to calculate the proportion of floating objects. This proportion can be used as an indicator to evaluate the effect of wastewater treatment.

[0050] According to the different proportions of floating area, the production water consumption is dynamically adjusted. When the floating area accounts for a low proportion, it indicates that the wastewater treatment effect is good, and the production water consumption can be appropriately increased; on the contrary, when the floating area accounts for a high proportion, it indicates that there are problems with wastewater treatment, and it is necessary to reduce the production water consumption to reduce wastewater discharge, and find out the reasons and make improvements.

[0051] It is worth mentioning that the ratio of S1 and S2 will be further determined when 1.2≤B≤1.5, that is, when 1.2≤B≤1.5, if S1<S2 / 10, the production water consumption is controlled to increase, and after S1=S2 / 10, the B value is continued to be determined, and the production water consumption is controlled according to the B value; similarly, if S1>S2 / 10, the production water consumption is controlled to decrease, and after S1=S2 / 10, the B value is continued to be determined, and the production water consumption is controlled according to the B value.

[0052] Therefore, in summary, the present invention uses sensors and online monitoring equipment to obtain data such as the number of sewage outlets opened, noise values, oxygen demand, pH, etc. in real time, ensuring that the system can immediately respond to changes in water quality; and when the system detects that water quality parameters deviate from the normal range, it can respond quickly, and remind relevant personnel to take timely measures through signal alarms to prevent the spread of pollution; at the same time, by calculating the data ratio A of each sewage outlet, the deviation between the current water quality status and historical data can be quantified, providing a scientific basis for subsequent decision-making; and at the same time, the real-time data is compared with the historical data, and the comparison result B is output to help decision makers quickly understand the changing trend of the current production water demand; of course, according to the different threshold settings of the comparison result B, the system can automatically adjust the production water consumption. When the A value is between 1.2 and 1.5, the production water is reduced; when the A value is greater than or equal to 1.5, the production water is increased. This dynamic adjustment mechanism is conducive to optimizing the use of water resources and reducing production costs. In addition, by monitoring the ratio of the area S1 of floating objects in the monitoring area to the total area S2, the production water usage can be further judged, and the production water consumption can be adjusted accordingly to ensure that the water quality meets the standards. In particular, by accurately controlling the production water consumption, unnecessary waste of water resources can be avoided, production efficiency can be improved, and the operating costs of the enterprise can be reduced. Timely monitoring and controlling of wastewater discharge and water quality can help prevent environmental pollution accidents and protect the ecological environment.

[0053] Based on the same inventive concept, the present invention also proposes a system for a wastewater monitoring method based on big data, the system is applied to the wastewater monitoring method based on big data described in any one of the above embodiments, the system includes: an execution subject, the execution subject is suitable for comparing the acquired first data and second data with the third data and outputting the comparison result; a first execution unit, the first execution unit is communicatively connected to the execution subject, the first execution unit is used to obtain first data, the first data is the data of the sewage outlet, the first data includes the number of sewage outlets opened and the first noise value corresponding to each sewage outlet, the sewage outlet is connected to the wastewater pool and connected; a second execution unit, the second execution unit is communicatively connected to the execution body, and the second execution unit is suitable for obtaining the sewage discharge amount based on the number of sewage outlets opened and the first noise value corresponding to each sewage outlet; a third execution unit, the third execution unit is communicatively connected to the execution body, and the third execution unit is suitable for obtaining third data, and the third data is data obtained in real time. The third data includes the number of sewage outlets opened, the second noise value, the second oxygen demand and the second pH value obtained in real time, the second noise value is the noise value obtained in real time, the second oxygen demand is the oxygen demand obtained in real time, and the second pH value is the pH value obtained in real time.

[0054] According to some embodiments of the present invention, the system also includes: a signal alarm, which is communicatively connected to the execution subject, and / or the signal alarm is communicatively connected to the mobile terminal; wherein the signal alarm is suitable for operating and issuing an alarm when the production water demand is abnormal, and when the signal alarm is operating, relevant personnel can adjust the production water demand.

[0055] It is understood that by real-time monitoring of wastewater discharge data, water quality parameters, production water consumption and other information, the system can identify whether there is an abnormality in production water demand. Abnormal situations may include but are not limited to a sudden increase or decrease in production water consumption, water quality parameters outside the normal range, etc.

[0056] When the system detects an abnormal situation, the signal alarm is activated and sends an alarm to relevant personnel. The alarm can be sent in a variety of ways, such as sound alarm, SMS, email or mobile application push notification, etc. After receiving the alarm, relevant personnel can take quick measures to adjust production water demand to ensure that wastewater discharge meets environmental protection standards and avoid unnecessary waste of resources.

[0057] According to some embodiments of the present invention, the system also includes: an execution switch, which is arranged on the execution body, and is suitable for controlling the opening and closing of the execution body. When there is no production, relevant personnel can control the execution body to shut down through the execution switch, so as to facilitate relevant personnel to clean and maintain the production line.

[0058] It is understood that the execution switch, as a physical or digital switch, allows relevant personnel to control the state of the execution subject manually or through system commands. When the execution subject needs to be stopped, it can be turned off through the execution switch; when production needs to be resumed, the execution subject can be started through the execution switch. By controlling the opening and closing of the execution subject through the execution switch, the system operation can be easily stopped during non-production periods, providing a safe working environment for maintenance personnel, and also facilitating cleaning and other maintenance work.

[0059] It should be noted that although the system itself can achieve automated monitoring and management, manual control is still necessary in some cases, especially when maintenance or emergency shutdown is required.

[0060] Based on the same inventive concept, an embodiment of the present application further proposes an electronic device, the electronic device comprising:

[0061] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the big data-based wastewater monitoring method of an embodiment of the present application.

[0062] In addition, to achieve the above-mentioned purpose, an embodiment of the present application also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the wastewater monitoring method based on big data of the embodiment of the present application is implemented.

[0063] It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the embodiments of the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0064] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or multiple boxes.

[0065] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction system, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0066] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0067] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. "And / or" means that either one of the two can be selected, or both can be selected. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or terminal device including a series of elements not only includes those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0068] The above is a detailed introduction to a wastewater monitoring method based on big data provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technicians in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A wastewater monitoring method based on big data, characterized in that: include: Acquire first data, the first data being data of a sewage outlet during standardized production, the first data including the number of sewage outlets opened and a first noise value corresponding to each sewage outlet, the sewage outlet being connected and communicated with a wastewater pool; Obtaining a sewage discharge amount based on the number of openings of the sewage discharge outlets and a first noise value corresponding to each sewage discharge outlet; Acquire second data, where the second data is a first oxygen demand and a first pH value of target wastewater during standardized production, and the target wastewater is wastewater in the wastewater pool; Acquire third data, the third data is data acquired in real time, the third data includes the number of sewage outlet openings, the second noise value, the second oxygen demand and the second pH value acquired in real time, the second noise value is the noise value acquired in real time, the second oxygen demand is the oxygen demand acquired in real time, and the second pH value is the pH value acquired in real time; in A target model is constructed based on the first data and the second data. The target model is used to compare the acquired first data and second data with third data and output a comparison result, and to monitor the production water demand in real time according to the comparison result.

2. The wastewater monitoring method based on big data according to claim 1, characterized in that: Each of the sewage outlets has a data ratio A, satisfying: A=(second noise value / first noise value+second oxygen demand / first oxygen demand+second pH / first pH) / 3; in The comparison result output by the target model is B, which satisfies: B=(A1+A2+...+An) / n+the number of sewage outlet openings obtained in real time / the number of openings; in When 1.2<B, the production water is more and the production water consumption is controlled to decrease. When B>1.5, the production water is less and the production water consumption is controlled to increase.

3. The wastewater monitoring method based on big data according to claim 2 is characterized in that: The distance L1 between the sewage outlet and the wastewater level in the wastewater pool is obtained, the first noise value corresponding to the sewage outlet is d, and the sewage discharge of each sewage outlet is Q, which satisfies: ;in The discharge volume of each of the sewage outlets is the total discharge volume, and the total discharge volume P satisfies: P=Q1+Q2+....+Qn.

4. The wastewater monitoring method based on big data according to claim 3 is characterized in that: A monitoring area is provided in the wastewater pool, the wastewater in the monitoring area is the target wastewater, the width of the monitoring area is W, and the distance from the monitoring area to the sewage outlet in the horizontal direction is L2, satisfying: 4 / W≤L2≤2 / W.

5. The wastewater monitoring method based on big data according to claim 4 is characterized in that: The monitoring area is provided with a first zone, a second zone and a third zone, the first zone, the second zone and the third zone are arranged in sequence in the height direction, the depth of the first zone is h1, the depth of the second zone is h2, the depth of the third zone is h3, and the following conditions are satisfied: h1=h2 / 2=h3; in The wastewater in the second zone is the target wastewater.

6. The wastewater monitoring method based on big data according to claim 4 is characterized in that: Also includes: Monitor floating objects in the monitoring area, where the floating objects are impurities that are insoluble in water and float on water, the area occupied by the floating objects is S1, the area of ​​the monitoring area is S2, and the ratio of S1 to S2 is monitored; in Under the condition of 1.2≤B≤1.5, when S1<S2 / 10, the production water is less and the production water consumption is controlled to increase; when S1>S2 / 10, the production water is more and the production water consumption is controlled to decrease.

7. A system for wastewater monitoring method based on big data, characterized in that: The method for monitoring wastewater based on big data according to any one of claims 1 to 6, wherein the system comprises: an execution subject, wherein the execution subject is adapted to compare the acquired first data and second data with third data and output a comparison result; a first execution unit, the first execution unit being communicatively connected to the execution subject, the first execution unit being used to obtain first data, the first data being data of the sewage outlets, the first data including the number of openings of the sewage outlets and a first noise value corresponding to each of the sewage outlets, the sewage outlets being connected and communicated with the wastewater pool; A second execution unit, the second execution unit is communicatively connected to the execution body, and the second execution unit is adapted to obtain the sewage discharge amount based on the number of openings of the sewage discharge outlets and the first noise value corresponding to each sewage discharge outlet; A third execution unit, the third execution unit is communicatively connected with the execution subject, the third execution unit is suitable for obtaining third data, the third data is data obtained in real time, the third data includes the number of sewage outlet openings, a second noise value, a second oxygen demand and a second pH value obtained in real time, the second noise value is a noise value obtained in real time, the second oxygen demand is an oxygen demand obtained in real time, and the second pH value is a pH value obtained in real time.

8. The system for wastewater monitoring method based on big data according to claim 7, characterized in that: Also includes: A signal alarm, the signal alarm being communicatively connected to the execution subject, and / or the signal alarm being communicatively connected to a mobile terminal; in The signal alarm is suitable for operating and issuing an alarm when the production water demand is abnormal. When the signal alarm is operating, relevant personnel can adjust the production water demand.

9. The system for wastewater monitoring method based on big data according to claim 8, characterized in that: Also includes: An execution switch is arranged on the execution body, and the execution switch is suitable for controlling the opening and closing of the execution body. When not in production, relevant personnel can control the execution body to shut down through the execution switch, so as to facilitate relevant personnel to clean and maintain the production line.

10. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; The memory is used to store computer programs; When the processor is used to execute the program stored in the memory, the method proposed in any one of claims 1 to 5 is implemented.

Images