Farm wastewater treatment system and related method and device

Abstract

The invention discloses a livestock farm wastewater treatment system and a related method and device, and belongs to the field of automatic control. Wherein the livestock farm wastewater treatment system comprises a water quality sensor and water quality adjusting equipment; the method comprises the following steps: monitoring water quality parameters of wastewater by using the water quality sensor to obtain water quality monitoring data; according to the water quality monitoring data, the water quality condition of the wastewater is analyzed, and the water quality condition is used for determining the water quality abnormal condition of the wastewater; and controlling the working state of the water quality adjusting equipment according to the water quality condition. According to the method disclosed by the invention, the key parameters of the water quality are monitored in real time, the basic condition of the water quality is quickly mastered, and the working state of the water quality adjusting equipment is automatically set according to the monitoring result, so that the intelligent and automatic adjustment of the water quality is realized.

Description

Technical Field

[0001] The present disclosure generally relates to the field of automation control. More specifically, the present disclosure relates to a farm wastewater treatment system and related methods and devices. Background Art

[0002] As the scale of breeding expands, breeding enterprises generate a large amount of wastewater. The treatment of breeding wastewater is of great significance to environmental protection, the welfare of farmed animals and human health, and is conducive to achieving sustainable development.

[0003] In the existing technology, aquaculture enterprises collect water quality data in real time through online monitoring systems, and then transmit the collected data to the management platform. The management platform analyzes the water quality status based on the collected data and notifies relevant personnel to take countermeasures when the water quality is abnormal. However, the subjective factors and professional ability of operators directly affect the wastewater treatment effect, and it is impossible to effectively cope with the heavy wastewater treatment work in large-scale aquaculture enterprises.

[0004] In view of this, there is an urgent need to provide a method for aquaculture wastewater treatment systems, so that the basic conditions of water quality can be quickly grasped through real-time monitoring of key parameters of water quality, and the working state of water quality regulation equipment can be automatically set according to the monitoring results to achieve intelligent and automated regulation of water quality, thereby overcoming the adverse effects caused by human subjective factors. Summary of the invention

[0005] In order to at least solve one or more technical problems described in the above background technology section, the present disclosure proposes the following technical solutions and multiple embodiments thereof.

[0006] In the first aspect, the present disclosure discloses a method for a farm wastewater treatment system, wherein the farm wastewater treatment system includes a water quality sensor and a water quality regulating device; the method includes: using the water quality sensor to monitor water quality parameters of the wastewater to obtain water quality monitoring data; analyzing the water quality conditions of the wastewater based on the water quality monitoring data, the water quality conditions are used to determine abnormal water quality conditions of the wastewater; and controlling the working state of the water quality regulating device based on the water quality conditions.

[0007] In a second aspect, the present disclosure discloses a device for a farm wastewater treatment system, comprising a processor configured to execute program instructions; and a memory configured to store the program instructions, so that when the program instructions are loaded and executed by the processor, the device executes the method described in the first aspect.

[0008] In a third aspect, the present disclosure discloses a farm wastewater treatment system, comprising a water quality sensing module, a water quality analysis module and a water quality regulation module; wherein the water quality sensing module comprises a water quality sensor; the water quality regulation module comprises a water quality regulation device; the water quality sensing module is configured to: monitor the water quality parameters of the wastewater through the water quality sensor to obtain water quality monitoring data; the water quality analysis module is configured to: analyze the water quality conditions of the wastewater according to the water quality monitoring data, and the water quality conditions are used to determine the abnormal water quality conditions of the wastewater; the water quality regulation module is configured to: control the working state of the water quality regulation device according to the water quality conditions.

[0009] By utilizing the farm wastewater treatment system and related methods and devices proposed in the present disclosure, it is possible to quickly grasp the basic conditions of water quality by real-time monitoring of key parameters of water quality, and automatically set the working state of water quality regulating equipment according to the monitoring results to achieve intelligent and automated regulation of water quality, thereby overcoming the adverse effects caused by human subjective factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] By reading the detailed description below with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present disclosure will become readily understood. In the accompanying drawings, several embodiments of the present disclosure are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0011] Figure 1 An exemplary schematic diagram of a farm wastewater treatment process in some embodiments of the present disclosure is shown.

[0012] Figure 2 An exemplary flow chart of a method for a wastewater treatment system for a farm in some embodiments of the present disclosure is shown.

[0013] Figure 3 An exemplary schematic diagram of a method for analyzing water quality conditions based on monitoring data in some embodiments of the present disclosure is shown.

[0014] Figure 4 An exemplary schematic diagram of a method for controlling the working state of a water quality regulating device according to water quality conditions in some embodiments of the present disclosure is shown.

[0015] Figure 5 An exemplary structural diagram of an apparatus for a wastewater treatment system for a farm in some embodiments of the present disclosure is shown.

[0016] Figure 6 An exemplary schematic diagram of data collection and transmission in an exemplary embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0018] It should be understood that the terms "include" and "comprising" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0019] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and claims, the singular forms of "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations.

[0020] As used in this specification and claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0021] The specific implementation of the present disclosure is described in detail below with reference to the accompanying drawings.

[0022] Wastewater treatment in aquaculture enterprises is of great significance to environmental protection, the welfare of farmed animals, and human health, and is conducive to achieving sustainable development. First, from the perspective of environmental protection, farm wastewater contains a large amount of organic matter and nutrients. If it is discharged directly without treatment, it will cause eutrophication of water bodies, causing excessive reproduction of aquatic organisms such as algae, thereby causing water quality deterioration and destroying the ecological balance. Secondly, from the perspective of the welfare of farmed animals, harmful substances contained in wastewater may cause the spread of diseases in farmed animals, affecting the health and production performance of farmed animals. Finally, for human health, farm wastewater contains a large number of pathogenic microorganisms such as bacteria, viruses and parasites. If the wastewater is not properly treated, people living nearby may be threatened by health due to ingestion of contaminated water or food.

[0023] Figure 1 An exemplary schematic diagram of the farm wastewater treatment process in some embodiments of the present disclosure is shown. Figure 1 As shown in the figure, the box indicates the tank body used for wastewater treatment, and the solid arrow indicates the flow direction of wastewater. The starting link of the farm wastewater treatment process is the on-site collection tank, which is used to collect various types of wastewater generated in the farm, including feces and urine of farmed animals and sewage from flushing livestock houses. The wastewater collected by the on-site collection tank first passes through the solid-liquid separation tank to separate the solid part (such as feces particles, feed residues, etc.) and liquid wastewater in the wastewater, and the liquid wastewater is temporarily stored in a polyethylene (PE) tank. The wastewater from the PE tank enters the first-stage black film biogas tank for anaerobic fermentation to produce biogas and biogas slurry. The biogas can be collected and used as energy, such as for power generation and heating. Compared with wastewater, the organic matter content in biogas slurry is reduced, but it may still contain more pollutants. The second-stage black film tank can be used to further perform anaerobic fermentation on the biogas slurry to make the decomposition of organic matter more complete. Here, part of the supernatant that meets the emission standards can be used for farmland irrigation, and the other part of the wastewater enters the flocculation sedimentation tank. In the flocculation sedimentation tank, by adding flocculants (such as polyalumina, polyacrylamide, etc.) to the wastewater, the fine suspended particles and colloidal substances in the wastewater are condensed into larger flocs, so that the wastewater can be further clarified. The sediment at the bottom of the flocculation tank needs to be treated regularly, and the supernatant obtained after precipitation enters the anaerobic-oxydative (AO) integrated tank. After the wastewater enters the AO integrated tank, it is first anaerobically treated in the anaerobic zone to further decompose the remaining organic matter in the wastewater, and then enters the aerobic zone. Aerobic microorganisms completely oxidize and decompose the organic matter into carbon dioxide and water under an aerobic environment, and nitrify ammonia nitrogen, etc., so that the water quality of the wastewater is significantly improved. In the AO integrated tank, by returning part of the sludge in the O pool to the A pool, a large number of microorganisms growing and breeding in the O pool can be sent back to the A pool. These microorganisms can continue to function in the anaerobic environment of the A pool, maintaining a high microbial activity in the A pool. The wastewater treated by the AO integrated tank enters the secondary sedimentation tank for secondary sedimentation. The supernatant obtained by sedimentation is temporarily stored in the storage tank and can be used for farmland irrigation as needed. During the entire wastewater treatment process, a large amount of sludge will be generated, including flocculation sedimentation tank and sedimentation sludge at the bottom of the secondary sedimentation tank. The sludge tank is used to collect and store this sludge, and the sludge can be dehydrated by the spiral stacker.

[0024] For Figure 1The large-scale farm wastewater treatment project shown in the figure involves a large number of water quality parameter detection projects. It is necessary to integrate multiple water quality parameters in each treatment stage to achieve full-process control of water quality, thus forming a complex system control problem. At present, the online water quality monitoring system and data transmission system in aquaculture enterprises are relatively mature. The online water quality monitoring system collects water quality data in real time through sensors installed in the water body. The data collected by the sensor is transmitted to the management cloud platform by the data transmission system. Among them, the management cloud platform is a platform based on cloud computing technology. It connects computing resources, storage space, and software applications through the network for enterprise management and use. The cloud platform can display the water quality status in real time and use software algorithms to further process and analyze the data to generate a water quality monitoring report. When the water quality is abnormal, the cloud platform will automatically trigger the alarm mechanism to notify relevant personnel to take countermeasures. However, when operators handle wastewater, they are greatly affected by subjective factors. The professional ability of personnel directly affects the water quality treatment effect. Considering that the current aquaculture enterprises have farms in a wide geographical range, including the north, south, inland and coastal areas, the water quality control errors caused by the subjective factors of operators are more difficult to ignore.

[0025] In view of this, in order to solve the problem of poor treatment effect when using manual methods for wastewater treatment in the prior art, the present disclosure discloses a method for a wastewater treatment system for aquaculture farms, so as to quickly grasp the basic situation of water quality by real-time monitoring of key parameters of water quality, and automatically set the working state of water quality regulating equipment according to the monitoring results to realize intelligent and automatic regulation of water quality, thereby overcoming the adverse effects caused by human subjective factors.

[0026] Figure 2 An exemplary flow chart of a method for a farm wastewater treatment system in some embodiments of the present disclosure is shown, wherein the farm wastewater treatment system includes a water quality sensor and a water quality adjustment device, such as Figure 2 As shown, the method includes: step 201, using a water quality sensor to monitor the water quality parameters of the wastewater to obtain water quality monitoring data; step 202, analyzing the water quality conditions of the wastewater based on the water quality monitoring data, the water quality conditions are used to determine the abnormal water quality conditions of the wastewater; and step 203, controlling the working state of the water quality regulating equipment according to the water quality conditions.

[0027] As Figure 1Taking the wastewater treatment process of the farm shown as an example, water quality sensors can be set on the delivery pipelines and each tank to monitor water quality parameters. For example: the pH sensor can be used to measure the acidity and alkalinity of water. This parameter is of great significance for evaluating the corrosiveness and biological adaptability of water bodies; the conductivity sensor can be used to measure the conductivity of water. This parameter reflects the content of dissolved substances in water. The higher the conductivity, the more impurities dissolved in water, and vice versa, the purer the water; the dissolved oxygen content in water can be measured by a dissolved oxygen sensor. This parameter reflects the self-purification ability and biological activity of the water body; the turbidity of water can be measured by a turbidity sensor. This parameter reflects the content of suspended particles in water. Water bodies with high turbidity may contain more pollutants, which have adverse effects on water quality and ecological environment; the ammonia nitrogen content in water bodies can be measured by an ammonia nitrogen sensor. Ammonia nitrogen has toxic effects on aquatic organisms. The ammonia nitrogen content reflects the eutrophication degree of water bodies and the effect of wastewater treatment; the chemical oxygen demand (Chemical Oxygen Demand) can be used to measure the turbidity of water. The COD sensor measures the COD in the water, which reflects the content of organic pollutants in the water. The higher the COD value, the more serious the organic pollution in the water. The Oxidation Reduction Potential (ORP) sensor can be used in the first and second black film biogas digesters and AO integrated pools to measure the Oxidation Reduction Potential to determine whether the microorganisms in the pool are truly in an anaerobic or aerobic state. The chlorophyll sensor can be used to detect the growth of algae in the discharge water used for irrigating farmland to warn of the risk of eutrophication of the water in advance. In addition, chlorine disinfection is used in the wastewater treatment process of the farm to kill pathogens in the wastewater. Accordingly, the chlorine content sensor can be used to measure the effective chlorine content in the water to prevent the residual chlorine from being discharged into the environment and causing toxicity to aquatic organisms in the receiving water.

[0028] Continue with Figure 1 Taking the farm wastewater treatment process shown as an example, corresponding water quality regulating equipment can be set for each treatment process to effectively treat the wastewater. For example: stirring equipment can be set in each tank body to make the water quality components of the wastewater in the tank body more evenly distributed, avoiding the problem of non-representative monitoring data of water quality sensors and uneven water quality control caused by uneven water quality distribution; temperature regulating equipment can be set in the first and second black film biogas tanks to maintain a relatively stable temperature in the biogas tank; aeration equipment can be set in the AO integrated tank to control the dissolved oxygen concentration in the tank body; in addition, disinfection equipment can be set in multiple tank bodies to eliminate viruses and bacteria in the wastewater.

[0029] As for step 201, it can be understood that the water quality sensor will continuously detect the water quality parameters of the wastewater in the pool body when in working state, thereby forming water quality monitoring data.

[0030] For step 202, it can be understood that the water quality monitoring data includes information on various water quality parameters of the wastewater. In some embodiments, the water quality condition of the wastewater is determined according to the information of each water quality parameter, such as: determining the acidity and alkalinity of the wastewater according to the pH parameter information alone, determining the dissolved oxygen condition of the wastewater according to the dissolved oxygen parameter information alone, determining the ammonia nitrogen content condition according to the ammonia nitrogen content parameter information alone, etc. In these embodiments, according to these water quality conditions, the abnormal water quality condition of the wastewater under each water quality parameter can be determined, such as: the wastewater is too acidic, too alkaline, the ammonia nitrogen content is too high, the temperature is too high, etc. In addition, it can be understood that the water quality parameters include many biochemical parameters, and there is a certain correlation between these biochemical parameters. For example, according to the Le Chatelier principle, an increase in temperature will make the pH value of the neutral solution less than 7, and a decrease in temperature will make the pH value of the neutral solution greater than 7. In this regard, in other embodiments, the water quality condition of the wastewater is determined according to the information of multiple water quality parameters. For example, the pH condition of the wastewater at a specific temperature can be determined based on the two parameters of temperature and pH. For those skilled in the art, the water quality condition of the wastewater can be determined based on the information of multiple water quality parameters in a variety of ways according to the needs, and this disclosure does not limit this.

[0031] As for step 203, it is understood that the abnormal water quality of the wastewater can be determined according to the water quality conditions, so that the working state of the water quality regulating device can be controlled according to the existing abnormal condition to eliminate the abnormality. Among them, controlling the working state of the water quality regulating device may include but is not limited to: turning the device on or off, and changing the working parameters of the device.

[0032] It can be understood that according to the method disclosed in the present disclosure, the water quality sensors deployed in the farm wastewater treatment system can monitor the key parameters of water quality in real time, and the water quality regulating equipment can adjust the working state accordingly according to the water quality conditions, thereby realizing automated and intelligent water quality control of the farm wastewater treatment system. Since the acquisition of water quality monitoring data and the regulation of water quality regulating equipment are both automated, it is possible to respond quickly to abnormal changes in water quality and take regulatory measures in a timely manner. Moreover, after determining multiple water quality conditions of the wastewater based on multiple parameter information, the wastewater water quality status can be fully and comprehensively grasped, which helps to coordinate multiple water quality regulating equipment to work to eliminate water quality anomalies.

[0033] In some embodiments, the water quality parameter includes at least one of the following: pH, conductivity, dissolved oxygen content, turbidity, ammonia nitrogen content, chemical oxygen demand, chlorine content, redox potential, chlorophyll content, and sludge content.

[0034] Some of the water quality parameters listed above have been introduced in the previous article. Here we distinguish between turbidity and sludge content. Turbidity is a water quality indicator that measures the turbidity of water. The more impurities such as suspended matter and colloids in the water, the more light is scattered and absorbed when it propagates in the water, the more turbid the water looks, and the higher the turbidity. The sludge content refers to the sludge that is deposited and accumulated at the bottom of the pool after the solid matter in the wastewater has been treated to a certain extent, or the activated sludge used to degrade pollutants in the wastewater using microorganisms.

[0035] In some embodiments, the water quality regulating equipment includes at least one of the following: a stirring equipment, a temperature regulating equipment, an aeration equipment, a pH regulating equipment, an ammonia nitrogen content regulating equipment, and a sludge content regulating equipment.

[0036] The mixing equipment, temperature control equipment and aeration equipment have been introduced in the previous article, so I will not repeat them here. Next, I will introduce the pH control equipment, ammonia nitrogen content control equipment and sludge content control equipment:

[0037] The pH adjustment equipment controls the pH of the wastewater within an appropriate range through a dosing device. When the wastewater is detected to be more acidic than the appropriate range, an alkaline agent can be added through the dosing device. When the wastewater is detected to be more alkaline than the appropriate range, an acidic agent can be added through the dosing device.

[0038] Since high concentrations of ammonia nitrogen can inhibit the biological treatment unit and affect the activity of microorganisms, ammonia nitrogen content regulating equipment can be set in the on-site collection tank and solid-liquid separation tank to reduce the ammonia nitrogen content in the tank body. In some embodiments, ammonia nitrogen stripping towers and ion exchange equipment can be used as ammonia nitrogen content regulating equipment.

[0039] As mentioned above, in the AO integrated pool, by returning the sludge in the O pool to the A pool, a large number of microorganisms growing and multiplying in the O pool can be sent back to the A pool to maintain a high microbial activity in the A pool. Therefore, the sludge content in the A pool and the O pool can be monitored in real time, and the sludge content in the A pool and the O pool can be adjusted by the sludge content regulating equipment, thereby optimizing the microbial community structure in the pool. In addition, in other pools, in order to prevent the problem of high sludge content causing difficulty in wastewater treatment or poor wastewater treatment effect, the sludge content regulating equipment can be used to adaptively reduce the sludge content in the pool.

[0040] Figure 3 An exemplary schematic diagram of a method for analyzing the water quality conditions of wastewater according to water quality monitoring data in some embodiments of the present disclosure is shown. It can be understood that Figure 3 It's in front Figure 2 A specific implementation of step 202. Figure 3As shown, in some embodiments, the water quality conditions of the wastewater are analyzed based on the water quality monitoring data, including: step 301, comparing the water quality monitoring data with the corresponding set water quality parameter threshold to obtain a comparison result; step 302, analyzing the water quality conditions of the wastewater based on the comparison result.

[0041] It is understandable that the water quality monitoring data includes the numerical information of various water quality parameters, and according to the characteristics of each treatment step in the wastewater treatment process, a normal value range can be set for each water quality parameter. By judging whether the measured water quality parameter value is within the corresponding normal value range, the water quality condition of the treated wastewater on the water quality parameter index can be determined. In some embodiments, the measured water quality parameter value is compared with the upper and lower thresholds of the corresponding normal value range, and then the water quality condition of the treated wastewater on the water quality parameter index is determined based on the comparison result.

[0042] As an example, here, the pH parameters in the field collection pool and the black film biogas pool are taken as examples to introduce the method of analyzing the water quality conditions of the wastewater according to the water quality monitoring data in the disclosed embodiment. Generally speaking, the pH of animal feces itself is usually close to neutral, but it may fluctuate due to factors such as feed ingredients and animal digestion conditions. Therefore, the normal pH range of the field collection pool can be set to 6.8-8.5. The normal pH range in the biogas pool can be set to 6.8-7.2. Within this range, the activity of anaerobic bacteria is high, which is conducive to the anaerobic fermentation of organic matter. Through the pH sensors set in the field collection pool and the black film biogas pool, the pH monitoring data can be obtained. Assuming that the pH values ​​currently obtained for the two pools are 7.5, then by comparing 7.5 with 6.8 and 8.5, it can be judged that the pH of the wastewater in the current field collection pool is normal, and by comparing 7.5 with 6.8 and 7.2, it can be judged that the pH of the wastewater in the current black film biogas pool is alkaline.

[0043] In some embodiments, water quality parameter thresholds are set based on wastewater discharge indicators.

[0044] It is understandable that after the wastewater in the farm has gone through a certain treatment process and reached the discharge standard, it can be discharged from the farm. In some embodiments, the treated wastewater can be discharged into farmland for irrigation of farmland, or discharged into the urban sewage treatment system for deep treatment. For different discharge scenarios, different discharge standards need to be set for the wastewater treatment system in the farm. In some embodiments, the normal value range of the water quality parameters in the wastewater treatment system is set accordingly according to the discharge standard, so as to control the final treated water quality to meet specific discharge standards. In this way, according to the method of the embodiment of the present disclosure, the different discharge requirements of the farm can be met by adjusting the normal value range of the water quality parameters, which helps to realize an efficient and flexible farm wastewater treatment system.

[0045] In some embodiments, according to water quality conditions, controlling the working state of the water quality regulating equipment includes: in response to an abnormal dissolved oxygen concentration of the wastewater, controlling the working state of the aeration equipment to increase or decrease the dissolved oxygen concentration of the wastewater; or, in response to an abnormal pH of the wastewater, controlling the working state of the pH regulating equipment to increase the acidity or alkalinity of the wastewater; or, in response to an abnormal ammonia nitrogen content of the wastewater, controlling the working state of the ammonia nitrogen content regulating equipment to increase or decrease the ammonia nitrogen content of the wastewater; or, in response to an abnormal sludge content of the wastewater, controlling the working state of the sludge content regulating equipment to increase or decrease the sludge content of the wastewater.

[0046] In the wastewater treatment process of farms, there are multiple links that are sensitive to dissolved oxygen concentration. Taking the O pool in the AO integrated pool as an example, aerobic microorganisms completely oxidize and decompose organic matter into carbon dioxide and water through respiration under aerobic conditions, and oxidize ammonia nitrogen into nitrates. This process requires sufficient dissolved oxygen to support the metabolic activities of microorganisms. When the dissolved oxygen concentration in the O pool is detected to be low, the aeration equipment can be controlled to provide more oxygen. However, if the dissolved oxygen concentration is too high, the microorganisms will be in a peroxidized state, thereby inhibiting the activity of the microorganisms. When the dissolved oxygen concentration in the O pool is detected to be high, the aeration equipment can be controlled to reduce the oxygen supply. In some embodiments, according to the dissolved oxygen content in the pool body, the oxygen supply fan operation logic of the anoxic pool and the aerobic pool is respectively formulated, the fan is controlled to start at a fixed time, and oxygen is supplied at the set fan operating frequency to achieve automatic adjustment of oxygen supply.

[0047] The O tank is also sensitive to changes in ammonia nitrogen content. If the ammonia nitrogen content is too high, it will be toxic to microorganisms, and if the ammonia nitrogen content is too low, it will cause microorganisms to lack nitrogen sources, affecting their normal growth and reproduction. Therefore, the working state of the ammonia nitrogen content adjustment equipment can be controlled accordingly to increase or decrease the ammonia nitrogen content of the wastewater.

[0048] In addition, it is equally important to control the sludge content in the AO integrated pool. This is because if the sludge content is too high, it may cause uneven distribution of dissolved oxygen in the pool, and some areas may become hypoxic due to excessive consumption of microorganisms, affecting the activity of aerobic microorganisms; if the sludge content is too low, the number of microorganisms will be insufficient, and pollutants in the wastewater cannot be effectively treated. Therefore, the working state of the sludge content regulating equipment can be controlled accordingly according to the sludge content to increase or decrease the sludge content of the wastewater. In some embodiments, according to the water quality conditions in the pool body, organic matter and pollutants in the bottom mud are regularly discharged to reduce their negative impact on water quality.

[0049] Acidity and alkalinity are of great significance in many links of the wastewater treatment process of farms. Taking the flocculation and sedimentation process as an example, the acidity and alkalinity will affect the hydrolysis and polymerization reactions of the flocculant, thereby affecting the flocculation effect. In this regard, an acidity and alkalinity adjustment device can be set in the flocculation and sedimentation tank. The device controls the pH of the wastewater within an appropriate range through a dosing device based on the acquired wastewater acidity and alkalinity data. It can be understood that the appropriate pH range is different for different tanks. When it is detected that the wastewater is more acidic than the appropriate range, an alkaline agent can be added through a dosing device. When it is detected that the wastewater is more alkaline than the appropriate range, an acidic agent can be added through a dosing device.

[0050] Figure 4 An exemplary schematic diagram showing a method for controlling the working state of a water quality regulating device according to water quality conditions in some embodiments of the present disclosure is shown. It can be understood that: Figure 4 It's in front Figure 2 A specific implementation of step 203. Figure 4 As shown, in some embodiments, the working state of the water quality regulating equipment is controlled according to the water quality conditions, including: step 401, obtaining the farmed animal information of the farm, the farmed animal information including at least one of the following: animal species, animal health status and animal breeding density; step 402, controlling the working state of the water quality regulating equipment according to the farmed animal information and water quality conditions.

[0051] It is understandable that the type, health status and breeding density of farmed animals affect the amount of wastewater generated by the farm and the impurities in the wastewater. For example, for a pig farm, pigs can be classified according to their age, including suckling pigs (usually around 0-5 weeks old), nursery pigs (usually around 10-12 weeks old), and fattening pigs (usually over 12 weeks old). As the age increases, the shedding of pig hair becomes more obvious, resulting in a large amount of pig hair in the farm wastewater. Too much pig hair will affect the solid-liquid separation effect and the activity of microorganisms. In this case, it is necessary to increase the filtration strength of the solid-liquid separation tank and the flocculation sedimentation tank as much as possible. According to health status, pigs can be divided into healthy pigs, sub-healthy pigs and sick pigs. For pig farms with a large number of sick pigs, there are a large number of viruses and bacteria in their wastewater. In this case, it is necessary to carry out more intensive disinfection before the wastewater is discharged. For farms with higher breeding density, a large amount of wastewater will be produced. In this case, the wastewater treatment capacity of the water quality regulation equipment can be increased accordingly, such as setting the equipment to work at a higher load state, in order to meet more wastewater treatment needs.

[0052] In some embodiments, a liquid level sensor is used to monitor the liquid level of wastewater in the tank to obtain liquid level monitoring data; and based on the liquid level monitoring data, the working state of the water volume regulating device is controlled.

[0053] It is understandable that the tank body, as a container for wastewater treatment, has a certain capacity. In order to prevent wastewater from overflowing, it is necessary to drain and fill the tank body with water regularly to control the liquid level in the tank body. In this regard, in some embodiments, the starting liquid level, the stopping liquid level, and the limit alarm liquid level are set according to the height of the tank body, and an ultrasonic liquid level meter and a water volume regulating device including an electric valve and a water pump are set in the tank body. The ultrasonic liquid level meter is used to monitor the liquid level information in real time, control the electric valve to open when the liquid level reaches the starting liquid level, use the water pump to fill water, and close the electric valve and the water pump when the liquid level reaches the stopping liquid level. When it is monitored that the liquid level reaches the limit alarm liquid level, the staff is prompted to drain the water.

[0054] Figure 5 1 is a block diagram showing a hardware configuration of an apparatus 500 that can implement an embodiment of the present disclosure. Figure 5 As shown, the device 500 may include a processor 501 and a memory 502. The processor is configured to execute program instructions, and the memory is configured to store program instructions. When the program instructions are loaded and executed by the processor, the device executes the method for the farm wastewater treatment system according to any one of the above embodiments. Figure 5 In the device 500, only the components related to this embodiment are shown. Therefore, it is obvious to those skilled in the art that the device 500 may also include Figure 5 The specific functions implemented by the memory 502 and the processor 501 of the device 500 provided in the embodiments of this specification can be explained in comparison with the aforementioned embodiments in this specification, and can achieve the technical effects of the aforementioned embodiments, so they will not be repeated here.

[0055] The apparatus 500 may correspond to a computing device having various processing functions. For example, the apparatus 500 may be implemented as various types of devices, such as a personal computer (PC), a server device, a mobile device, etc.

[0056] The processor 501 can control the operation of the device 500. For example, the processor 501 controls the operation of the device 500 by executing the program stored in the memory 502 on the device 500. The processor 501 can be implemented by a central processing unit (CPU), a graphics processing unit (GPU), an application processor (AP), an artificial intelligence processor chip (IPU), etc. provided in the device 500. However, the present disclosure is not limited to this. In the present embodiment, the processor 501 can be implemented in any appropriate manner. For example, the processor 501 can take the form of a computer-readable medium, a logic gate, a switch, an application-specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller, etc., such as a microprocessor or a processor and a computer-readable program code (such as software or firmware) that can be executed by the (micro) processor.

[0057] The memory 502 can be used to store hardware of various data and instructions processed in the device 500. For example, the memory 502 can store processed data and data to be processed in the device 500. The memory 502 can store data that has been processed or to be processed by the processor 501, for example, data collected by a water quality sensor, etc. In addition, the memory 502 can store applications, drivers, etc. to be driven by the device 500. For example: the memory 502 can store various programs related to the method for the farm wastewater treatment system to be executed by the processor 501, etc. The memory 502 can be a DRAM, but the present disclosure is not limited thereto. The memory 502 can include at least one of a volatile memory or a non-volatile memory. The non-volatile memory can include a read-only memory (ROM), a programmable ROM (PROM), an electrically programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a phase change RAM (PRAM), a magnetic RAM (MRAM), a resistive RAM (RRAM), a ferroelectric RAM (FRAM), etc. The volatile memory may include dynamic RAM (DRAM), static RAM (SRAM), synchronous DRAM (SDRAM), PRAM, MRAM, RRAM, ferroelectric RAM (FeRAM), etc. In an embodiment, the memory 502 may include at least one of a hard disk drive (HDD), a solid state drive (SSD), a high-density flash memory (CF), a secure digital (SD) card, a micro secure digital (Micro-SD) card, a mini secure digital (Mini-SD) card, an extreme digital (xD) card, caches, or a memory stick.

[0058] The specific functions implemented by the memory 502 and the processor 501 of the device 500 provided in the implementation mode of this specification can be explained in comparison with the aforementioned implementation modes in this specification, and can achieve the technical effects of the aforementioned implementation modes, and will not be repeated here.

[0059] Further, based on the above description, those skilled in the art can also understand that the method for a farm wastewater treatment system of the embodiment of the present disclosure can also be used to construct a system. In this regard, the present disclosure discloses a farm wastewater treatment system, including: a water quality perception module, a water quality analysis module and a water quality adjustment module; wherein the water quality perception module includes a water quality sensor; the water quality adjustment module includes a water quality adjustment device; the water quality perception module is configured to: monitor the water quality parameters of the wastewater through the water quality sensor to obtain water quality monitoring data; the water quality analysis module is configured to: analyze the water quality conditions of the wastewater according to the water quality monitoring data, and the water quality conditions are used to determine the abnormal water quality of the wastewater; the water quality adjustment module is configured to: control the working state of the water quality adjustment device according to the water quality conditions. The specific functions implemented by the farm wastewater treatment system provided in the embodiments of this specification can be explained in comparison with the aforementioned embodiments in this specification, and can achieve the technical effects of the aforementioned embodiments, so they will not be repeated here.

[0060] Exemplary Embodiments

[0061] This exemplary embodiment is an environmentally friendly intelligent Internet of Things system based on 4G / wired network, which is used to control the wastewater treatment process of the farm. The wastewater treatment process used in this embodiment is as follows: Figure 1 As shown, the environmental protection intelligent Internet of Things system based on 4G / wired network consists of device perception layer, network layer, platform layer and application layer, among which:

[0062] The device perception layer is the initial level of the Internet of Things and is the basic source of data for the entire environmental protection system. This level includes various sensors, which are installed on different environmental protection facilities and equipment (liquid level sensors, temperature sensors, flow sensors, weighing sensors, etc.) to sense the properties of these facilities and equipment and obtain data such as liquid level, temperature, flow, etc. The sensor collects this data and stores all the data information in the form of electrical signals inside the programmable logic controller (PLC), and transmits the data wirelessly to the Muyuan cloud platform through 4g Internet of Things devices. It can be understood that environmental protection facilities and equipment may include the pool body, water pipeline and water quality regulation equipment in the wastewater treatment process mentioned above.

[0063] Figure 6 FIG. 2 shows an exemplary schematic diagram of data collection and transmission in this exemplary embodiment. Figure 6As shown, the sensors in the device perception layer include an ultrasonic level meter for monitoring the liquid level in the tank body, a weighing sensor for monitoring the sludge content in the tank body, a temperature sensor for monitoring the temperature of the wastewater in the tank body, an electromagnetic flowmeter for controlling the drainage and inflow of the tank body, and a water flow sensor for monitoring the flow of wastewater in the tank body and the transport pipeline. The monitoring data acquired by the sensors in the device perception layer is first sent to the data acquisition device, which can be the above-mentioned PLC. The data acquisition device then transmits the data to the terminal receiving device through the data transmission device, which can be, for example, a computing device in the platform layer.

[0064] The network layer is built on the existing mobile communication network and the Internet, and mainly transmits the collected data to the network platform through the operator's 4G network and local area network.

[0065] The platform layer plays a connecting role in the entire environmental protection Internet of Things system. It carries the access and data transmission functions of various sensors and controllers downward, and provides a unified data interface for the application layer upward, which is called by the application layer. The platform layer also receives the control instructions issued by the application layer, and sends the control instructions to the above-mentioned PLC to control the working status of the water quality regulation equipment. Through the platform, the online status and implementation data of all devices can be grasped in real time, all devices can be managed, and device information can be grasped in time. For the application layer, the platform shields the connected hardware devices and uniformly provides a unified application programming interface (Application Programming Interface, API) to the application layer. The application layer can manage the corresponding devices through these APIs.

[0066] The application layer is located at the top of the four-layer structure of the environmental protection Internet of Things. Its function is "processing", that is, information processing through the cloud computing platform. The application layer, together with the lowest perception layer, is the prominent feature and core of the Internet of Things. The application layer can calculate, process and mine knowledge of the data collected by the perception layer, thereby realizing real-time control, precise management and scientific decision-making of the physical world. A set of control logic for terminal equipment (including related equipment in the pool body and water quality regulation equipment, etc.) is pre-compiled in the application layer. When the field data collected by the sensor is transmitted to the application layer, the application layer generates control logic instructions for the data. The instructions are transmitted to the field controller (i.e. the above-mentioned PLC) through the network platform layer. The PLC executes the instructions to control the working status of the water quality regulation equipment.

[0067] It should be noted that, for the purpose of simplicity, the present disclosure describes some methods and embodiments thereof as a series of actions and combinations thereof, but those skilled in the art will appreciate that the scheme of the present disclosure is not limited by the order of the actions described. Therefore, based on the disclosure or teaching of the present disclosure, those skilled in the art will appreciate that some of the steps therein may be performed in other orders or simultaneously. Further, those skilled in the art will appreciate that the embodiments described in the present disclosure may be regarded as optional embodiments, i.e., the actions or modules involved therein may not necessarily be necessary for the implementation of one or some of the schemes of the present disclosure. In addition, depending on the different schemes, the present disclosure also has different focuses on the description of some embodiments. In view of this, those skilled in the art may appreciate the parts that are not described in detail in a certain embodiment of the present disclosure, and may also refer to the relevant descriptions of other embodiments.

Claims

1. A method for a wastewater treatment system for aquaculture farms, wherein: The farm wastewater treatment system includes a water quality sensor and a water quality regulating device; the method includes: Using the water quality sensor to monitor water quality parameters of wastewater to obtain water quality monitoring data; Analyzing the water quality condition of the wastewater according to the water quality monitoring data, wherein the water quality condition is used to determine the abnormal water quality condition of the wastewater; and According to the water quality conditions, the working state of the water quality regulating equipment is controlled.

2. The method according to claim 1, wherein: The water quality parameters include at least one of the following: pH, conductivity, dissolved oxygen content, turbidity, ammonia nitrogen content, chemical oxygen demand, chlorine content, redox potential, chlorophyll content and sludge content.

3. The method according to claim 1, wherein: The water quality regulating equipment includes at least one of the following: a stirring device, a temperature regulating device, an aeration device, a pH regulating device, an ammonia nitrogen content regulating device, and a sludge content regulating device.

4. The method according to claim 1, wherein: Analyze the water quality conditions of the wastewater according to the water quality monitoring data, including: Comparing the water quality monitoring data with the corresponding set water quality parameter threshold to obtain a comparison result; According to the comparison result, the water quality condition of the wastewater is analyzed.

5. The method according to claim 4, wherein: The water quality parameter threshold is set according to the wastewater discharge index.

6. The method according to claim 1, wherein: According to the water quality conditions, the working state of the water quality regulating equipment is controlled, including: In response to an abnormality in the dissolved oxygen concentration of the wastewater, controlling the working state of the aeration device to increase or decrease the dissolved oxygen concentration of the wastewater; or In response to abnormal pH of the wastewater, controlling the working state of the pH adjustment device to increase the acidity or alkalinity of the wastewater; or In response to an abnormal ammonia nitrogen content in the wastewater, controlling the working state of the ammonia nitrogen content regulating device to increase or decrease the ammonia nitrogen content in the wastewater; or In response to an abnormality in the sludge content of the wastewater, the working state of the sludge content regulating device is controlled to increase or decrease the sludge content of the wastewater.

7. The method according to claim 1, wherein: According to the water quality conditions, the working state of the water quality regulating equipment is controlled, including: Acquire information about farmed animals in a farm, wherein the information about farmed animals includes at least one of the following: animal species, animal health status, and animal breeding density; The working state of the water quality regulating equipment is controlled according to the farmed animal information and the water quality conditions.

8. The method according to claim 1, further comprising: Using a liquid level sensor to monitor the liquid level of the wastewater in the tank body to obtain liquid level monitoring data; The working state of the water volume regulating device is controlled according to the liquid level monitoring data.

9. A device for a wastewater treatment system of a farm, comprising: a processor configured to execute program instructions; as well as A memory configured to store the program instructions, which, when loaded and executed by the processor, causes the apparatus to perform the method according to any one of claims 1 to 8.

10. A farm wastewater treatment system, comprising: A water quality sensing module, a water quality analysis module and a water quality regulating module; wherein the water quality sensing module includes a water quality sensor; the water quality regulating module includes a water quality regulating device; The water quality sensing module is configured to: monitor the water quality parameters of the wastewater through the water quality sensor to obtain water quality monitoring data; The water quality analysis module is configured to: analyze the water quality condition of the wastewater according to the water quality monitoring data, wherein the water quality condition is used to determine the abnormal water quality condition of the wastewater; The water quality regulating module is configured to control the working state of the water quality regulating device according to the water quality conditions.

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