A remote-controlled wastewater purification monitoring and control system

Abstract

The invention discloses a remote-controlled wastewater purification monitoring and control system, which relates to the technical field of wastewater treatment, and comprises the following modules: a grille blockage one-time judgment module, which judges whether the grille is blocked by the water level difference on both sides of the grille, the flow rate of wastewater and the amplitude of impact noise, and controls a scraper to start foreign matter cleaning if the grille is blocked; in this scheme, the grille in the wastewater treatment process is intelligently analyzed by the grille blockage one-time judgment module to judge whether the grille is blocked by foreign matter and affects the water flow rate, and the situation of the grille being blocked by foreign matter is comprehensively judged by the water level change, flow rate and sound amplitude, so that after the grille is blocked by foreign matter, the foreign matter can be cleaned up in time by a scraper device, thereby facilitating the rapid passage of water flow, thereby facilitating the improvement of the efficiency of wastewater purification.

Description

Technical Field

[0001] The invention relates to the technical field of wastewater treatment, in particular to a remote-controlled wastewater purification monitoring and control system. Background Art

[0002] Acrylic emulsion is a milky white or nearly transparent viscous liquid. It is an emulsion copolymerized from pure acrylic ester monomers. It is a small-particle, multi-purpose, and high-performance emulsion suitable for a variety of coating formulations. It has outstanding water resistance and weather resistance. Acrylic emulsion will generate a large amount of wastewater during the production process. If the wastewater is not purified and filtered and discharged directly, it will seriously affect the safety of soil and water sources.

[0003] The treatment process of acrylic emulsion wastewater is generally divided into three steps. The first is the pretreatment of acrylic emulsion wastewater. The wastewater is filtered through a screen to intercept and filter large residues and foreign matter in the water. Then the primary treatment of acrylic emulsion wastewater is carried out. Flocculants are added to the filtered wastewater to filter out suspended matter and sediment in the wastewater. Finally, the secondary treatment of acrylic emulsion wastewater is carried out. The wastewater is treated by biofilm method, activated sludge method and chemical neutralization method to avoid acrylic emulsion wastewater from polluting water sources and soil.

[0004] When acrylic emulsion wastewater treatment plants use grilles to intercept and filter impurities and foreign matter in wastewater during the wastewater pretreatment stage, the foreign matter will accumulate on one side of the grille. If it is not cleaned in time, it will seriously affect the speed of water flow, thereby affecting the wastewater treatment efficiency. Therefore, many acrylic emulsion wastewater treatment plants will install scrapers on one side of the grille to squeeze and clean the intercepted foreign matter, and push the foreign matter into the foreign matter holding tank for collection. Since the period of grille blockage is unstable, it is difficult to achieve automatic operation by controlling the timing of the scraper. Therefore, the operation of the scraper mostly requires manual intervention and control. The operator not only needs to pay attention to the flow rate of the water flow at all times, but also needs to check whether the scraper equipment is stuck by foreign matter and cannot work normally. In order to facilitate the operator to remotely monitor and control the purification of acrylic emulsion wastewater, we propose a remote-controlled wastewater purification monitoring and control system. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the deficiencies of the prior art, the present invention provides a remote-controlled wastewater purification monitoring and control system to solve the above-mentioned problems in the prior art.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a remotely controlled wastewater purification monitoring and control system, comprising the following modules:

[0009] The grille blockage judgment module determines whether the grille is blocked by the water level difference on both sides of the grille, the flow rate of the wastewater and the amplitude of the impact noise. If the grille is blocked, the scraper is controlled to start cleaning the foreign matter.

[0010] The scraper monitoring module determines whether the scraper is stuck by foreign objects by the frequency of the scraper opening to clean foreign objects, the moving distance of the scraper to perform work, and the temperature of the scraper drive motor. If the scraper is stuck by foreign objects, an alarm will be issued to remind the management personnel. If the scraper is not stuck, the standby time of the scraper will be recorded, and a static work database will be established based on the standby time of the scraper;

[0011] The scraper life estimation module obtains the estimated remaining service life of the scraper through the scraper standby time recorded in the static work database, sets the preset threshold of the scraper dangerous life, and obtains the blockage risk value through the estimated remaining service life of the scraper and the preset threshold of the scraper dangerous life;

[0012] The grille blockage secondary judgment module determines whether the grille is blocked by the blockage risk value and the judgment result in the grille blockage primary judgment module. If the grille is blocked, the scraper is controlled to start foreign matter cleaning.

[0013] Preferably, the grille blockage judgment module is specifically:

[0014] Step 1: respectively obtain the water level heights on both sides of the grille, take the absolute value of the difference between the water level heights on both sides to obtain the water level difference, set the preset threshold of the water level difference, compare the size relationship between the water level difference and the preset threshold of the water level difference, if the water level difference is greater than the preset threshold of the water level difference, mark it as a high level difference, if the water level difference is less than the preset threshold of the water level difference, mark it as a low level difference;

[0015] Step 2: Obtain the sound amplitude at a distance of 5 cm from the grille and mark it as the reference amplitude, set a preset threshold for normal sound amplitude, compare the reference amplitude with the preset threshold for normal sound amplitude, and if the reference amplitude is greater than the preset threshold for normal sound amplitude, mark it as a high amplitude; if the reference amplitude is less than the preset threshold for normal sound amplitude, mark it as a low amplitude;

[0016] Step 3: Define the high position difference as 2, the low position difference as 1, express the high position difference and the low position difference as the water level coefficient, define the high amplitude as 2, define the low amplitude as 1, express the high amplitude and the low amplitude as the amplitude coefficient, obtain the water flow velocity on the side of the grille without foreign matter and mark it as the velocity coefficient, and obtain the blockage value through the water level coefficient, velocity coefficient and amplitude coefficient;

[0017] Step 4: Set the preset threshold of the blockage value, determine the relationship between the blockage value and the preset threshold of the blockage value, if the blockage value is greater than the preset threshold of the blockage value, mark it as grille blockage and control the scraper to start foreign matter cleaning, if the blockage value is less than the preset threshold of the blockage value, mark it as normal.

[0018] Preferably, the calculation method of the congestion value is as follows:

[0019] ,

[0020] Among them, Ds represents the blockage value, Ls represents the flow rate coefficient, Zf represents the amplitude coefficient, and Sw represents the water level coefficient. , the value of Zf is 1 or 2, and the value of Sw is 1 or 2.

[0021] Preferably, the scraper monitoring module is specifically:

[0022] Step 1: Obtain the frequency of the scraper opening to clean foreign objects, obtain the moving distance of the scraper to perform the work, obtain the temperature of the scraper drive motor, and obtain the scraper damage value through the frequency of the scraper opening to clean foreign objects, the moving distance of the scraper to perform the work and the temperature of the scraper drive motor;

[0023] Step 2: Set a preset threshold value for scraper damage value, compare the scraper damage value with the preset threshold value for scraper damage value, if the scraper damage value is greater than the preset threshold value for scraper damage value, it is marked as the scraper is stuck by foreign objects and an alarm is issued to remind the management personnel to repair the scraper equipment, if the scraper damage value is less than the preset threshold value for scraper damage value, it is marked as the scraper is normal;

[0024] Step three: If the scraper damage value is less than the preset threshold of the scraper damage value, obtain the end time of the last foreign object cleaning on the scraper, obtain the start time of the current foreign object cleaning on the scraper, and obtain the scraper standby time by subtracting the start time of the current foreign object cleaning on the scraper from the end time of the last foreign object cleaning on the scraper, establish a static work database and record the scraper standby time in the static work database.

[0025] Preferably, the frequency of the scraper opening to clean foreign matter is obtained, specifically:

[0026] Step 1: Obtain the number of scraper opening requests in the first grille blockage judgment module within 60 minutes, set a preset threshold for the number of requests, compare the number of requests and the preset threshold for the number of requests, and if the number of requests is greater than the preset threshold for the number of requests, mark it as a medium request frequency; if the number of requests is less than the preset threshold for the number of requests, mark it as a low request frequency;

[0027] Step 2: Obtain the interval time between each two adjacent scraper start requests in the first grille blockage judgment module within 60 minutes, arrange multiple interval times from small to large, select the three interval times with the smallest interval time as reference time, sum and average the three reference times to obtain the reference time mean, set the reference time mean preset threshold, compare the reference time mean and the reference time mean preset threshold, if the reference time mean is less than the reference time mean preset threshold, mark it as a high request frequency;

[0028] Step 3: Mark low request frequency as 1, medium request frequency as 2, and high request frequency as , output the frequency marking result to the device.

[0029] Preferably, the moving distance of the scraper to perform the work is obtained, specifically:

[0030] Step 1: Get the actual moving distance of the scraper, define the preset moving distance threshold, compare the actual moving distance and the preset moving distance threshold, if the actual moving distance is less than the preset moving distance threshold, mark it as a short distance move, if the actual moving distance is greater than the preset moving distance threshold, mark it as a long distance move;

[0031] Step 2: Obtain the maximum moving distance of the scraper, compare the actual moving distance with the maximum moving distance, and if the actual moving distance is greater than the maximum moving distance, mark it as abnormal distance movement;

[0032] Step 3: Mark short distance movement as 2, long distance movement as 1, and abnormal distance movement as , output the moving distance marking result to the device.

[0033] Preferably, the scraper damage value is calculated as follows:

[0034] ,

[0035] Among them, Sh represents the scraper damage value, Dw represents the temperature of the scraper drive motor, Pv represents the frequency of the scraper opening to clean foreign matter, and Yj represents the moving distance of the scraper to perform work. , the value of Pv is 1 or 2 or , the value of Yj is 1 or 2 or .

[0036] Preferably, the scraper life estimation module is specifically:

[0037] Step 1: Obtain the total standby time of the scraper from the static working database, obtain the installation and use time of the scraper, obtain the working time of the scraper by subtracting the installation and use time of the scraper from the total standby time of the scraper, set a preset threshold value for the damage coefficient, obtain the consumed life time of the scraper by multiplying the preset threshold value for the damage coefficient by the working time of the scraper, obtain the service life time of the scraper, and obtain the remaining estimated service life of the scraper by subtracting the service life time of the scraper from the consumed life time of the scraper;

[0038] Step 2: Set the preset threshold of the scraper's dangerous life, compare the remaining estimated time of the scraper's service life and the preset threshold of the scraper's dangerous life. If the remaining estimated time of the scraper's service life is less than the preset threshold of the scraper's dangerous life, the blockage risk value will be marked as 2, and the management personnel will be reminded to replace the scraper. If the remaining estimated time of the scraper's service life is less than the preset threshold of the scraper's dangerous life, the blockage risk value will be marked as 1.

[0039] Preferably, the grille blockage secondary judgment module is specifically:

[0040] Step 1: Obtain the congestion value and the congestion risk value, and obtain the cleaning demand coefficient through the congestion value and the congestion risk value;

[0041] Step 2: Set the preset threshold of the cleaning requirement coefficient, determine the relationship between the cleaning requirement coefficient and the preset threshold of the cleaning requirement coefficient. If the cleaning requirement coefficient is greater than the preset threshold of the cleaning requirement coefficient, mark it as a blocked grille and control the scraper to start foreign matter cleaning. If the cleaning requirement coefficient is less than the preset threshold of the cleaning requirement coefficient, mark it as normal.

[0042] Preferably, the calculation method of the cleaning demand coefficient is as follows:

[0043] ,

[0044] Among them, Qx represents the cleaning demand coefficient, Ds represents the congestion value, and Dx represents the congestion risk value. and are weights, , .

[0045] (III) Beneficial effects

[0046] The present invention provides a remotely controlled wastewater purification monitoring and control system, which has the following beneficial effects:

[0047] (1) In this scheme, the grille blockage judgment module is used to intelligently analyze the grille in the acrylic emulsion wastewater treatment process to determine whether the grille is blocked by foreign matter and affects the water flow rate. The grille blockage is determined by the water level change, flow rate and sound amplitude. This allows the scraper equipment to clean the foreign matter in time after the grille is blocked by foreign matter, thereby facilitating the rapid passage of water and improving the efficiency of acrylic emulsion wastewater purification.

[0048] (2) In this scheme, the scraper is monitored by the scraper monitoring module. The frequency of scraper cleaning, the moving distance of the scraper and the temperature of the driving motor are used to comprehensively judge whether the scraper is stuck or damaged by foreign objects. This allows the scraper equipment to clean the blocked grille in time, which further facilitates the rapid passage of water, thereby further facilitating the improvement of the efficiency of wastewater purification. When the scraper is stuck by foreign objects, the management personnel are notified in time, which facilitates the management personnel to inspect and repair the scraper equipment, thereby facilitating the management personnel to realize remote, automated and intelligent supervision of wastewater purification.

[0049] (3) In this scheme, the grille blockage secondary judgment module is used to further judge the grille blockage situation. The risk value in the scraper life estimation module is combined with the scraper monitoring module to make a comprehensive judgment on the grille blockage situation and the scraper working status, so as to facilitate a more accurate judgment on whether the grille is blocked, and further facilitate the rapid passage of water, and further facilitate the improvement of wastewater purification efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A flowchart of a remotely controlled wastewater purification monitoring and control system of the present invention;

[0051] Figure 2 It is a structural schematic diagram of a remote-controlled wastewater purification monitoring and control system of the present invention. DETAILED DESCRIPTION

[0052] 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 only 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.

[0053] See also Figure 1-Figure 2 The present invention provides a remote-controlled wastewater purification monitoring and control system, comprising the following modules:

[0054] The grille blockage judgment module determines whether the grille is blocked by the water level difference on both sides of the grille, the flow rate of the wastewater and the amplitude of the impact noise. If the grille is blocked, the scraper is controlled to start cleaning the foreign matter.

[0055] The scraper monitoring module determines whether the scraper is stuck by foreign objects by the frequency of the scraper opening to clean foreign objects, the moving distance of the scraper to perform work, and the temperature of the scraper drive motor. If the scraper is stuck by foreign objects, an alarm will be issued to remind the management personnel. If the scraper is not stuck, the standby time of the scraper will be recorded, and a static work database will be established based on the standby time of the scraper;

[0056] The scraper life estimation module obtains the estimated remaining service life of the scraper through the scraper standby time recorded in the static work database, sets the preset threshold of the scraper dangerous life, and obtains the blockage risk value through the estimated remaining service life of the scraper and the preset threshold of the scraper dangerous life;

[0057] The grille blockage secondary judgment module determines whether the grille is blocked by the blockage risk value and the judgment result in the grille blockage primary judgment module. If the grille is blocked, the scraper is controlled to start foreign matter cleaning.

[0058] In this embodiment, in this scheme, the grid in the wastewater treatment process is intelligently analyzed by the grid blockage judgment module to determine whether the grid is blocked by foreign matter and affects the water flow rate. The grid is blocked by foreign matter through the water level change, flow rate and sound amplitude. It is convenient to clean the foreign matter in time through the scraper device after the grid is blocked by foreign matter, so as to facilitate the rapid passage of water, thereby facilitating the improvement of the efficiency of wastewater purification.

[0059] In this solution, the scraper is monitored by the scraper monitoring module, and the scraper cleaning frequency, the moving distance of the scraper and the temperature of the driving motor are used to comprehensively judge whether the scraper is stuck or damaged by foreign objects, so that the scraper equipment can clean the blocked grille in time, which further facilitates the rapid passage of water, and further facilitates the improvement of the efficiency of wastewater purification. When the scraper is stuck by foreign objects, the management personnel are notified in time, so that the management personnel can repair the scraper equipment, so that the management personnel can realize remote automated and intelligent supervision of wastewater purification.

[0060] In this solution, the scraper life prediction module is used to predict the life of the scraper, which is beneficial to avoid the scraper being damaged due to long-term use and affecting the efficiency of cleaning foreign matter, thereby further facilitating the rapid passage of water flow and further facilitating the improvement of the efficiency of wastewater purification;

[0061] In this scheme, the grid blockage secondary judgment module is used to further judge the grid blockage situation, and the risk value in the scraper life estimation module is combined with the scraper monitoring module to make a comprehensive judgment on the grid blockage situation and the working state of the scraper, so as to more accurately judge whether the grid is blocked, and further facilitate the rapid passage of water, and further facilitate the improvement of the efficiency of wastewater purification;

[0062] It is worth mentioning that the scraper device in this scheme is an existing technology, and its specific structure and principle will not be described in detail here. Its function is to scrape off the foreign matter blocking one side of the grille and push it into the foreign matter holding tank for collection, so as to facilitate the flow of water. The value of the preset threshold in this scheme can be obtained by weight analysis method, which will not be described in detail here.

[0063] The grille blockage judgment module is as follows:

[0064] Step 1: respectively obtain the water level heights on both sides of the grille, take the absolute value of the difference between the water level heights on both sides to obtain the water level difference, set the preset threshold of the water level difference, compare the size relationship between the water level difference and the preset threshold of the water level difference, if the water level difference is greater than the preset threshold of the water level difference, mark it as a high level difference, if the water level difference is less than the preset threshold of the water level difference, mark it as a low level difference;

[0065] Step 2: Obtain the sound amplitude at a distance of 5 cm from the grille and mark it as the reference amplitude, set a preset threshold for normal sound amplitude, compare the reference amplitude with the preset threshold for normal sound amplitude, and if the reference amplitude is greater than the preset threshold for normal sound amplitude, mark it as a high amplitude; if the reference amplitude is less than the preset threshold for normal sound amplitude, mark it as a low amplitude;

[0066] Step 3: Define the high position difference as 2, the low position difference as 1, express the high position difference and the low position difference as the water level coefficient, define the high amplitude as 2, define the low amplitude as 1, express the high amplitude and the low amplitude as the amplitude coefficient, obtain the water flow velocity on the side of the grille without foreign matter and mark it as the velocity coefficient, and obtain the blockage value through the water level coefficient, velocity coefficient and amplitude coefficient;

[0067] Step 4: Set the preset threshold value of the blockage value, determine the size relationship between the blockage value and the preset threshold value of the blockage value, if the blockage value is greater than the preset threshold value of the blockage value, mark it as the grille is blocked and control the scraper to start foreign matter cleaning, if the blockage value is less than the preset threshold value of the blockage value, mark it as the grille is normal;

[0068] The calculation method of the congestion value is as follows:

[0069] ,

[0070] Among them, Ds represents the blockage value, Ls represents the flow rate coefficient, Zf represents the amplitude coefficient, and Sw represents the water level coefficient. , the value of Zf is 1 or 2, and the value of Sw is 1 or 2.

[0071] In this embodiment, by taking the absolute value of the difference between the water level heights on both sides of the grille, it is easy to understand the degree to which the water flow is blocked through the grille, and thus it is easy to understand the situation of foreign matter blocking the grille. The sound amplitude is used to understand the loudness of the sound. Since the sound amplitude and loudness of foreign matter hitting the grille and foreign matter hitting foreign matter are different, it is further easy to understand the situation of foreign matter blocking the grille, and then it is easy to judge whether the grille is blocked by comprehensive flow velocity, water level difference and sound. After the grille is blocked by foreign matter, the foreign matter can be cleaned up in time by the scraper equipment, which facilitates the rapid passage of water and improves the efficiency of wastewater purification.

[0072] Scraper monitoring module, specifically:

[0073] Step 1: Obtain the frequency of the scraper opening to clean foreign objects, obtain the moving distance of the scraper to perform the work, obtain the temperature of the scraper drive motor, and obtain the scraper damage value through the frequency of the scraper opening to clean foreign objects, the moving distance of the scraper to perform the work and the temperature of the scraper drive motor;

[0074] Step 2: Set a preset threshold value for scraper damage value, compare the scraper damage value with the preset threshold value for scraper damage value, if the scraper damage value is greater than the preset threshold value for scraper damage value, it is marked as the scraper is stuck by foreign objects and an alarm is issued to remind the management personnel to repair the scraper equipment, if the scraper damage value is less than the preset threshold value for scraper damage value, it is marked as the scraper is normal;

[0075] Step 3: If the scraper damage value is less than the preset threshold value of the scraper damage value, obtain the end time of the last foreign object cleaning of the scraper, obtain the start time of the current foreign object cleaning of the scraper, and obtain the scraper standby time by subtracting the start time of the current foreign object cleaning of the scraper from the end time of the last foreign object cleaning of the scraper, establish a static work database and record the scraper standby time in the static work database;

[0076] The calculation method of scraper damage value is as follows:

[0077] ,

[0078] Among them, Sh represents the scraper damage value, Dw represents the temperature of the scraper drive motor, Pv represents the frequency of the scraper opening to clean foreign matter, and Yj represents the moving distance of the scraper to perform work. , the value of Pv is 1 or 2 or , the value of Yj is 1 or 2 or .

[0079] In this embodiment, by knowing the frequency of cleaning foreign objects, the distance the scraper moves and the temperature of the drive motor, it is easy to understand whether the foreign objects are stuck. It is also easy to understand whether the scraper equipment is damaged and needs to be replaced and repaired. When the grille is blocked by foreign objects, the scraper equipment can be used to clean the foreign objects in time, thereby facilitating the rapid passage of water and improving the efficiency of wastewater purification.

[0080] Get the frequency of scraper opening foreign matter cleaning, specifically:

[0081] Step 1: Obtain the number of scraper opening requests in the first grille blockage judgment module within 60 minutes, set a preset threshold for the number of requests, compare the number of requests and the preset threshold for the number of requests, and if the number of requests is greater than the preset threshold for the number of requests, mark it as a medium request frequency; if the number of requests is less than the preset threshold for the number of requests, mark it as a low request frequency;

[0082] Step 2: Obtain the interval time between each two adjacent scraper start requests in the first grille blockage judgment module within 60 minutes, arrange multiple interval times from small to large, select the three interval times with the smallest interval time as reference time, sum and average the three reference times to obtain the reference time mean, set the reference time mean preset threshold, compare the reference time mean and the reference time mean preset threshold, if the reference time mean is less than the reference time mean preset threshold, mark it as a high request frequency;

[0083] Step 3: Mark low request frequency as 1, medium request frequency as 2, and high request frequency as , output the frequency marking result to the device.

[0084] In this embodiment, the scraper request times, request frequency and request interval time are determined in the first grille blockage judgment module to determine whether the scraper device is stuck and cannot work normally and keep receiving request commands, so that when the grille is blocked by foreign matter, the scraper device can be used to clean up the foreign matter in time, thereby facilitating the rapid passage of water and improving the efficiency of wastewater purification.

[0085] Get the moving distance of the scraper to perform work, specifically:

[0086] Step 1: Get the actual moving distance of the scraper, define the preset moving distance threshold, compare the actual moving distance and the preset moving distance threshold, if the actual moving distance is less than the preset moving distance threshold, mark it as a short distance move, if the actual moving distance is greater than the preset moving distance threshold, mark it as a long distance move;

[0087] Step 2: Obtain the maximum moving distance of the scraper, compare the actual moving distance with the maximum moving distance, and if the actual moving distance is greater than the maximum moving distance, mark it as abnormal distance movement;

[0088] Step 3: Mark short distance movement as 2, long distance movement as 1, and abnormal distance movement as , output the moving distance marking result to the device.

[0089] In this embodiment, the severity of the foreign matter blockage can be judged by the actual moving distance of the scraper, so that the management personnel can intervene in time to manually clean the foreign matter on the grille. At the same time, it is also convenient to remind the management personnel to repair and replace the scraper equipment when the moving distance exceeds the maximum distance after the scraper is broken and damaged. Therefore, after the grille is blocked by foreign matter, the foreign matter can be cleaned up in time by the scraper equipment, which facilitates the rapid passage of water and improves the efficiency of wastewater purification.

[0090] Scraper life estimation module, specifically:

[0091] Step 1: Obtain the total standby time of the scraper from the static working database, obtain the installation and use time of the scraper, obtain the working time of the scraper by subtracting the installation and use time of the scraper from the total standby time of the scraper, set a preset threshold value for the damage coefficient, obtain the consumed life time of the scraper by multiplying the preset threshold value for the damage coefficient by the working time of the scraper, obtain the service life time of the scraper, and obtain the remaining estimated service life of the scraper by subtracting the service life time of the scraper from the consumed life time of the scraper;

[0092] Step 2: Set the preset threshold of the scraper's dangerous life, compare the remaining estimated time of the scraper's service life and the preset threshold of the scraper's dangerous life. If the remaining estimated time of the scraper's service life is less than the preset threshold of the scraper's dangerous life, the blockage risk value will be marked as 2, and the management personnel will be reminded to replace the scraper. If the remaining estimated time of the scraper's service life is less than the preset threshold of the scraper's dangerous life, the blockage risk value will be marked as 1.

[0093] In this embodiment, the scraping working time of the scraper is calculated by the standby time and the installation and use time of the scraper, and the remaining estimated service life of the scraper is calculated by the preset threshold of the damage coefficient and the service life of the scraper. The actual working time of the scraper makes it easy to understand the status of the scraper, and then it is convenient for the management personnel to replace the scraper in time to ensure the efficiency of the scraper equipment in scraping and pushing foreign matter, so that when the grille is blocked by foreign matter, the scraper equipment can be used to clean up the foreign matter in time, which makes it easy for water to pass quickly, and thus it is convenient to improve the efficiency of wastewater purification.

[0094] The grille blockage secondary judgment module is as follows:

[0095] Step 1: Obtain the congestion value and the congestion risk value, and obtain the cleaning demand coefficient through the congestion value and the congestion risk value;

[0096] Step 2: Set a preset threshold value of the cleaning demand coefficient, determine the size relationship between the cleaning demand coefficient and the preset threshold value of the cleaning demand coefficient, if the cleaning demand coefficient is greater than the preset threshold value of the cleaning demand coefficient, mark the grille as blocked and control the scraper to start foreign matter cleaning, if the cleaning demand coefficient is less than the preset threshold value of the cleaning demand coefficient, mark the grille as normal;

[0097] The calculation method of the cleaning demand coefficient is as follows:

[0098] ,

[0099] Among them, Qx represents the cleaning demand coefficient, Ds represents the congestion value, and Dx represents the congestion risk value. and are weights, , .

[0100] In this embodiment, the clogging value and the clogging risk value are used to comprehensively judge whether the grille is blocked. Not only the parameters near the grille are combined, but also the current use of the scraper is combined to comprehensively judge whether the grille is blocked and needs to be cleaned of foreign objects, so as to more accurately judge whether the grille needs to be cleaned of foreign objects, so that after the grille is blocked by foreign objects, the foreign objects can be cleaned in time by the scraper device, thereby facilitating the rapid passage of water, thereby facilitating the improvement of the efficiency of wastewater purification;

[0101] It is worth mentioning that the weight values ​​in this scheme can be obtained through the hierarchical analysis method, which will not be elaborated here.

[0102] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0103] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0104] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A remote-controlled wastewater purification monitoring and control system, characterized in that: Includes the following modules: The grille blockage judgment module determines whether the grille is blocked by the water level difference on both sides of the grille, the flow rate of the wastewater and the amplitude of the impact noise. If the grille is blocked, the scraper is controlled to start cleaning the foreign matter. The scraper monitoring module determines whether the scraper is stuck by foreign objects by the frequency of the scraper opening to clean foreign objects, the moving distance of the scraper to perform work, and the temperature of the scraper drive motor. If the scraper is stuck by foreign objects, an alarm will be issued to remind the management personnel. If the scraper is not stuck, the standby time of the scraper will be recorded, and a static work database will be established based on the standby time of the scraper; The scraper life estimation module obtains the estimated remaining service life of the scraper through the scraper standby time recorded in the static work database, sets the preset threshold of the scraper dangerous life, and obtains the blockage risk value through the estimated remaining service life of the scraper and the preset threshold of the scraper dangerous life; The grille blockage secondary judgment module determines whether the grille is blocked by the blockage risk value and the judgment result of the grille blockage primary judgment module. If the grille is blocked, the scraper is controlled to start foreign matter cleaning; The grille blockage judgment module is as follows: Step 1: respectively obtain the water level heights on both sides of the grille, take the absolute value of the difference between the water level heights on both sides to obtain the water level difference, set the preset threshold of the water level difference, compare the size relationship between the water level difference and the preset threshold of the water level difference, if the water level difference is greater than the preset threshold of the water level difference, mark it as a high level difference, if the water level difference is less than the preset threshold of the water level difference, mark it as a low level difference; Step 2: Obtain the sound amplitude at a distance of 5 cm from the grille and mark it as the reference amplitude, set a preset threshold for normal sound amplitude, compare the reference amplitude with the preset threshold for normal sound amplitude, and if the reference amplitude is greater than the preset threshold for normal sound amplitude, mark it as a high amplitude; if the reference amplitude is less than the preset threshold for normal sound amplitude, mark it as a low amplitude; Step 3: Define the high position difference as 2, the low position difference as 1, express the high position difference and the low position difference as the water level coefficient, define the high amplitude as 2, define the low amplitude as 1, express the high amplitude and the low amplitude as the amplitude coefficient, obtain the water flow velocity on the side of the grille without foreign matter and mark it as the velocity coefficient, and obtain the blockage value through the water level coefficient, velocity coefficient and amplitude coefficient; Step 4: Set the preset threshold value of the blockage value, determine the size relationship between the blockage value and the preset threshold value of the blockage value, if the blockage value is greater than the preset threshold value of the blockage value, mark it as the grille is blocked and control the scraper to start foreign matter cleaning, if the blockage value is less than the preset threshold value of the blockage value, mark it as the grille is normal; The grille blockage secondary judgment module is as follows: Step 1: Obtain the congestion value and the congestion risk value, and obtain the cleaning demand coefficient through the congestion value and the congestion risk value; Step 2: Set the preset threshold of the cleaning requirement coefficient, determine the relationship between the cleaning requirement coefficient and the preset threshold of the cleaning requirement coefficient. If the cleaning requirement coefficient is greater than the preset threshold of the cleaning requirement coefficient, mark it as a blocked grille and control the scraper to start foreign matter cleaning. If the cleaning requirement coefficient is less than the preset threshold of the cleaning requirement coefficient, mark it as normal.

2. A remotely controlled wastewater purification monitoring and control system according to claim 1, characterized in that: The calculation method of the congestion value is as follows: ， Among them, Ds represents the blockage value, Ls represents the flow rate coefficient, Zf represents the amplitude coefficient, and Sw represents the water level coefficient. , the value of Zf is 1 or 2, and the value of Sw is 1 or 2.

3. A remotely controlled wastewater purification monitoring and control system according to claim 1, characterized in that: Scraper monitoring module, specifically: Step 1: Obtain the frequency of the scraper opening to clean foreign objects, obtain the moving distance of the scraper to perform the work, obtain the temperature of the scraper drive motor, and obtain the scraper damage value through the frequency of the scraper opening to clean foreign objects, the moving distance of the scraper to perform the work and the temperature of the scraper drive motor; Step 2: Set a preset threshold value for scraper damage value, compare the scraper damage value with the preset threshold value for scraper damage value, if the scraper damage value is greater than the preset threshold value for scraper damage value, it is marked as the scraper is stuck by foreign objects and an alarm is issued to remind the management personnel to repair the scraper equipment, if the scraper damage value is less than the preset threshold value for scraper damage value, it is marked as the scraper is normal; Step three: If the scraper damage value is less than the preset threshold of the scraper damage value, obtain the end time of the last foreign object cleaning on the scraper, obtain the start time of the current foreign object cleaning on the scraper, and obtain the scraper standby time by subtracting the start time of the current foreign object cleaning on the scraper from the end time of the last foreign object cleaning on the scraper, establish a static work database and record the scraper standby time in the static work database.

4. A remotely controlled wastewater purification monitoring and control system according to claim 3, characterized in that: Get the frequency of scraper opening foreign matter cleaning, specifically: Step 1: Obtain the number of scraper opening requests in the first grille blockage judgment module within 60 minutes, set a preset threshold for the number of requests, compare the number of requests and the preset threshold for the number of requests, and if the number of requests is greater than the preset threshold for the number of requests, mark it as a medium request frequency; if the number of requests is less than the preset threshold for the number of requests, mark it as a low request frequency; Step 2: Obtain the interval time between each two adjacent scraper start requests in the first grille blockage judgment module within 60 minutes, arrange multiple interval times from small to large, select the three interval times with the smallest interval time as reference time, sum and average the three reference times to obtain the reference time mean, set the reference time mean preset threshold, compare the reference time mean and the reference time mean preset threshold, if the reference time mean is less than the reference time mean preset threshold, mark it as a high request frequency; Step 3: Mark low request frequency as 1, medium request frequency as 2, and high request frequency as , output the frequency marking result to the device.

5. A remotely controlled wastewater purification monitoring and control system according to claim 3, characterized in that: Get the moving distance of the scraper to perform work, specifically: Step 1: Get the actual moving distance of the scraper, define the preset moving distance threshold, compare the actual moving distance and the preset moving distance threshold, if the actual moving distance is less than the preset moving distance threshold, mark it as a short distance move, if the actual moving distance is greater than the preset moving distance threshold, mark it as a long distance move; Step 2: Obtain the maximum moving distance of the scraper, compare the actual moving distance with the maximum moving distance, and if the actual moving distance is greater than the maximum moving distance, mark it as abnormal distance movement; Step 3: Mark short distance movement as 2, long distance movement as 1, and abnormal distance movement as , output the moving distance marking result to the device.

6. A remotely controlled wastewater purification monitoring and control system according to claim 3, characterized in that: The calculation method of scraper damage value is as follows: ， Among them, Sh represents the scraper damage value, Dw represents the temperature of the scraper drive motor, Pv represents the frequency of the scraper opening to clean foreign matter, and Yj represents the moving distance of the scraper to perform work. , the value of Pv is 1 or 2 or , the value of Yj is 1 or 2 or .

7. A remotely controlled wastewater purification monitoring and control system according to claim 1, characterized in that: Scraper life estimation module, specifically: Step 1: Obtain the total standby time of the scraper from the static working database, obtain the installation and use time of the scraper, obtain the working time of the scraper by subtracting the installation and use time of the scraper from the total standby time of the scraper, set a preset threshold value for the damage coefficient, obtain the consumed life time of the scraper by multiplying the preset threshold value for the damage coefficient by the working time of the scraper, obtain the service life time of the scraper, and obtain the remaining estimated service life of the scraper by subtracting the service life time of the scraper from the consumed life time of the scraper; Step 2: Set the preset threshold of the scraper's dangerous life, compare the remaining estimated time of the scraper's service life and the preset threshold of the scraper's dangerous life. If the remaining estimated time of the scraper's service life is less than the preset threshold of the scraper's dangerous life, the blockage risk value will be marked as 2, and the management personnel will be reminded to replace the scraper. If the remaining estimated time of the scraper's service life is less than the preset threshold of the scraper's dangerous life, the blockage risk value will be marked as 1.

8. A remotely controlled wastewater purification monitoring and control system according to claim 1, characterized in that: The calculation method of the cleaning demand coefficient is as follows: ， Among them, Qx represents the cleaning demand coefficient, Ds represents the congestion value, and Dx represents the congestion risk value. and are weights, , .

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