Remote control system of EGA intelligent tank

Abstract

The invention relates to the technical field of EGA intelligent grooves, in particular to a remote control system of an EGA intelligent groove, which comprises a creation module used for uploading EGA intelligent groove connection pipe network distribution information and creating an EGA intelligent groove pipe network topology based on the EGA intelligent groove connection pipe network distribution information; the capturing module is used for receiving the EGA intelligent tank pipe network topology created in the creating module and capturing an EGA intelligent tank sewage flowing path in the EGA intelligent tank pipe network topology; according to the method, the sewage flowing path between the EGA intelligent tanks is captured in a mode of constructing the EGA intelligent tank pipe network topology, the sewage treatment capacity of the EGA intelligent tanks is further judged on the basis of monitoring and analysis of EGA intelligent tank sewage treatment state parameters, and then the EGA intelligent tanks are controlled to treat sewage to flow on the basis of the judgment result. Interactive linkage operation exists among the EGA intelligent tanks, and the sewage treatment effect is guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of EGA intelligent tank, and particularly relates to a remote control system of EGA intelligent tank. BACKGROUND

[0002] The EGA intelligent tank is a device for sewage treatment.

[0003] An application No. 202311698058.3 discloses a distributed EGA intelligent tank remote intelligent control system for sewage treatment, which is characterized in that the system comprises a control terminal monitoring layer, a control layer and an analysis layer; the control terminal is the main control end of the system for issuing execution commands; the sewage received by the sewage plant is monitored by the monitoring layer to obtain sewage state parameters, and the EGA intelligent tank operation logic is set based on the obtained sewage state parameters and fed back to the control layer; the control layer receives the EGA intelligent tank operation logic set in the monitoring layer in real time, drives the EGA intelligent tank to operate by using the EGA intelligent tank operation logic, the EGA intelligent tank receives sewage and processes the sewage based on the set EGA intelligent tank operation logic, the processed sewage is subjected to the sewage state parameter obtaining operation again by the monitoring layer, and the obtained sewage state parameters are fed back to the analysis layer; the analysis layer decides the flow of the sewage based on the received sewage state parameters, and receives the sewage state parameters obtained in the last operation of the monitoring layer, and evaluates the sewage treatment capacity of the EGA intelligent tank based on the received two groups of sewage state parameters.

[0004] The application aims to solve the problem that the sewage treatment system constructed by the EGA intelligent tank is continuously operated by using the set operation logic to process sewage, mainly highlights the sewage treatment capacity, daily maintenance operation still needs to configure a certain amount of management personnel, thereby generating a certain amount of equipment operation and maintenance expenses, and the operation intelligence degree needs to be developed.

[0005] However, in the daily work process of the current EGA intelligent tank, due to the sewage treatment amount, the complexity of the sewage composition and other factors in the sewage treatment task performed by each EGA intelligent tank, the maintenance requirements of each EGA intelligent tank are different in the same period, and the manual cost of offline inspection and analysis of the EGA intelligent tank maintenance requirements is too high.

[0006] Therefore, the present application provides a remote control system of EGA intelligent tank. SUMMARY

[0007] In view of the above-mentioned shortcomings of the prior art, the present application provides a remote control system of EGA intelligent tank, which solves the technical problems proposed in the background art.

[0008] To achieve the above object, the present application is realized by the following technical solutions: A remote control system of an EGA intelligent tank, comprising: A creating module for uploading distribution information of an EGA intelligent tank connected pipe network and creating an EGA intelligent tank pipe network topology based on the distribution information of the EGA intelligent tank connected pipe network; a capturing module for receiving the EGA intelligent tank pipe network topology created by the creating module and capturing an EGA intelligent tank sewage flow path in the EGA intelligent tank pipe network topology; a monitoring module for receiving an EGA intelligent tank sewage treatment state parameter and identifying an EGA intelligent tank sewage treatment capacity based on the sewage treatment state parameter; a judging module for continuously receiving the EGA intelligent tank sewage treatment capacity identified by the monitoring module and judging an EGA intelligent tank with poor sewage treatment capacity and an EGA intelligent tank with good sewage treatment capacity based on the continuously received EGA intelligent tank sewage treatment capacity identification result; a statistical module for counting the number of EGA intelligent tanks with good sewage treatment capacity and the number of EGA intelligent tanks with poor sewage treatment capacity in the judging result of the judging module; and a configuration module for obtaining the EGA intelligent tank with poor sewage treatment capacity and configuring the EGA intelligent tank with good sewage treatment capacity and the sewage flow path for the EGA intelligent tank with poor sewage treatment capacity.

[0009] Further, the creating module is provided with a sub-module, comprising: An uploading unit for uploading distribution information of an EGA intelligent tank connected pipe network; A logic unit for continuously receiving the EGA intelligent tank connected pipe network distribution information uploaded by the uploading module and forwarding the EGA intelligent tank connected pipe network distribution information to the creating module; The distribution information of the EGA intelligent tank connected pipe network, i.e. the end point and node position information of each pipe section in the EGA intelligent tank connected pipe network, each group of information in the EGA intelligent tank connected pipe network distribution information uploaded by the uploading unit carries a group of distinguishing marks, the format of the distinguishing marks is text or number, each group of distinguishing marks corresponds to a group of pipes in the EGA intelligent tank connected pipe network, the logic unit runs in the stage of receiving the EGA intelligent tank connected pipe network distribution information, each time a group of distinguishing marks is applied to traverse and search for information with the same distinguishing marks in the EGA intelligent tank connected pipe network distribution information uploaded by the uploading unit, and then the operation of forwarding the EGA intelligent tank connected pipe network distribution information to the creating module is performed, after the creating module receives the EGA intelligent tank connected pipe network distribution information from the logic unit, the creating of the EGA intelligent tank pipe network topology is synchronously performed, so that each time the EGA intelligent tank pipe network topology is created, a group of pipe topology in the EGA intelligent tank connected pipe network is constructed.

[0010] Further, the logical unit traverses the uploaded unit based on the distinguishing mark to find the information with the same distinguishing mark information, takes the found information as the to-be-deleted information, and forwards the found information to the creation module after the logical unit completes the finding. After the creation module constructs the corresponding pipeline topology, the to-be-deleted information is executed in the uploaded unit, and the pipeline topology set created by the creation module is the EGA smart tank pipeline network topology.

[0011] Further, the capture module is internally provided with a sub-module, including: The selection unit is configured to select two groups of coordinates in the EGA smart tank pipeline network topology received by the capture module. The selection unit is configured to select two groups of coordinates in the EGA smart tank pipeline network topology received by the capture module. The capture module is configured to preferentially acquire the two groups of coordinates selected by the selection unit when capturing the EGA smart tank sewage flow transfer path, and further capture all EGA smart tank sewage flow transfer paths between the two groups of coordinates in the EGA smart tank pipeline network topology based on the DFS algorithm. The capture module is configured to preferentially acquire the two groups of coordinates selected by the selection unit when capturing the EGA smart tank sewage flow transfer path, and further capture all EGA smart tank sewage flow transfer paths between the two groups of coordinates in the EGA smart tank pipeline network topology based on the DFS algorithm.

[0012] Further, the EGA smart tank is provided with a water component sensor at the output end, which is configured to sense the composition of the sewage processed by the EGA smart tank. The EGA smart tank sewage treatment state parameter includes the composition of the processed sewage, the flow transfer time of the sewage in the EGA smart tank, the cycle number, and the sewage treatment capacity.

[0013] Further, the identification logic of the EGA smart tank sewage treatment capacity is represented as: ; In the formula: is the EGA smart tank sewage treatment capacity performance value; is the sewage treatment capacity of the EGA smart tank in one execution of the sewage treatment task; is the flow transfer time of the sewage in the EGA smart tank in one execution of the sewage treatment task; is the cycle number of the sewage in the EGA smart tank in one execution of the sewage treatment task; is the ratio of the harmful substances in the processed sewage to the total amount of the EGA smart tank in one execution of the sewage treatment task.

[0014] Furthermore, the determination logic for EGA smart tanks with poor and good sewage treatment capabilities in the determination module is as follows: ; In the formula: The wastewater treatment capacity of the EGA smart tank was identified by the monitoring module during its latest three consecutive runs; When equation (1) holds, the determination is made. The corresponding EGA smart tank is an EGA smart tank with poor sewage treatment capacity. When equation (2) is true, it is determined that... The corresponding EGA smart tank is an EGA smart tank with excellent sewage treatment capabilities. When there is a size relationship other than that between equation (1) and equation (2), the monitoring module runs again to obtain a new set of EGA smart tank sewage treatment capacity identification results. Then, based on the EGA smart tank judgment logic of poor sewage treatment capacity, it judges the EGA smart tank with poor sewage treatment capacity and the EGA smart tank with good sewage treatment capacity until the sewage treatment capacity of the EGA smart tank is judged.

[0015] Furthermore, if there are two consecutive sets of the same EGA smart tank wastewater treatment capacity performance values ​​among the latest three consecutive runs identified by the monitoring module, the two sets of the same EGA smart tank wastewater treatment capacity performance values ​​shall be used as one set of EGA smart tank wastewater treatment capacity performance values.

[0016] Furthermore, the statistical objectives during the operation phase of the statistical module also include the EGA intelligent tank, which continuously performs the judgment of the quality of sewage treatment capacity; When the number of EGA smart tanks continuously performing wastewater treatment capacity assessment is greater than half of the total number of EGA smart tanks in the EGA smart tank network topology, offline maintenance is performed on all EGA smart tanks in the EGA smart tank network topology. When the number of EGA smart tanks with poor wastewater treatment capacity is greater than the number of EGA smart tanks with good wastewater treatment capacity, offline maintenance is performed on all EGA smart tanks in the EGA smart tank network topology. Otherwise, the configuration module will be switched to run. When configuring an EGA smart tank with good sewage treatment capacity for an EGA smart tank with poor sewage treatment capacity, the sewage flow path of other EGA smart tanks corresponding to the EGA smart tank with poor sewage treatment capacity is traversed. The target EGA smart tank for configuring the EGA smart tank with poor sewage treatment capacity is determined by the product of the shortest sewage flow path between the two sets of EGA smart tanks and the sewage treatment capacity performance value. The configuration target is: when the product is maximized, the corresponding EGA smart tank with good sewage treatment capacity and the shortest sewage flow path between the corresponding EGA smart tank and the EGA smart tank with poor sewage treatment capacity. Among them, each group of EGA intelligent tank with good sewage treatment capacity is only used as the configuration target of a group of EGA intelligent tank with poor sewage treatment capacity, and the EGA intelligent tank with poor sewage treatment capacity in the two groups of EGA intelligent tanks configured with each other further flows to the EGA intelligent tank with good sewage treatment capacity based on the configured sewage flow path after treating sewage.

[0017] Further, the creation module is interactively connected with an uploading unit and a logic unit through a wireless network, the creation module is interactively connected with a capturing module through a wireless network, the capturing module is electrically connected with a selection unit through a medium, the selection unit is interactively connected with the creation module through a wireless network, the capturing module is interactively connected with a monitoring module and a judgment module through a wireless network, and the judgment module is interactively connected with a statistical module and a configuration module through a wireless network.

[0018] Compared with the known prior art, the technical scheme provided by the application has the following beneficial effects: The application provides a remote control system of an EGA intelligent tank, which captures the sewage flow path between the EGA intelligent tanks by constructing the EGA intelligent tank pipe network topology during operation, further judges the sewage treatment capacity of the EGA intelligent tank based on the monitoring and analysis of the sewage treatment state parameters of the EGA intelligent tank, and then controls the EGA intelligent tank to process and flow the sewage based on the judgment result, so that the EGA intelligent tanks have interactive linkage operation, the sewage treatment effect is guaranteed, invalid EGA intelligent tank inspection is avoided, effective regular maintenance of the EGA intelligent tank is realized, and the maintenance requirements of the EGA intelligent tanks are consistent. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0020] Figure 1 It is a structural schematic view of a remote control system of an EGA intelligent tank. DETAILED DESCRIPTION

[0021] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0022] The present application will be further described below with reference to the embodiments.

[0023] Embodiment 1 The remote control system of the EGA intelligent tank in this embodiment, as shown in Figure 1 includes: A creation module for uploading the distribution information of the EGA intelligent tank connected pipe network and creating the EGA intelligent tank pipe network topology based on the distribution information of the EGA intelligent tank connected pipe network. The sub-modules are arranged under the creation module, including: An uploading unit for uploading the distribution information of the EGA intelligent tank connected pipe network. A logic unit for continuously receiving the distribution information of the EGA intelligent tank connected pipe network uploaded in the uploading module and forwarding the distribution information of the EGA intelligent tank connected pipe network to the creation module. The distribution information of the EGA intelligent tank connected pipe network, i.e. the end point and node position information of each pipe in the EGA intelligent tank connected pipe network, each group of information in the distribution information of the EGA intelligent tank connected pipe network uploaded in the uploading unit carries a group of distinguishing marks, the format of the distinguishing marks is text or number, each group of distinguishing marks corresponds to a group of pipes in the EGA intelligent tank connected pipe network, the logic unit runs in the stage of receiving the distribution information of the EGA intelligent tank connected pipe network, each time a group of distinguishing marks is applied to traverse and find the information with the same distinguishing marks in the distribution information of the EGA intelligent tank connected pipe network uploaded in the uploading unit, and then the operation of forwarding the distribution information of the EGA intelligent tank connected pipe network to the creation module is executed, after the creation module receives the distribution information of the EGA intelligent tank connected pipe network from the logic unit, the creation of the EGA intelligent tank pipe network topology is executed synchronously, so that each time the creation of the EGA intelligent tank pipe network topology is executed, a group of pipe topology in the EGA intelligent tank connected pipe network is constructed. After the logic unit finds the information with the same distinguishing marks by traversing in the uploading unit based on the distinguishing marks, the found information is taken as the information to be deleted, after the logic unit completes the forwarding of the found information to the creation module and the creation module constructs the corresponding pipe topology, the information to be deleted is executed for deletion processing in the uploading unit, until there is no distribution information of the EGA intelligent tank connected pipe network in the uploading unit, the set of pipe topologies created by the creation module, i.e. the EGA intelligent tank pipe network topology. The capturing module is configured to receive the EGA intelligent slot pipe network topology created by the creating module and capture the EGA intelligent slot sewage flow transfer path in the EGA intelligent slot pipe network topology. The capturing module is internally provided with a sub-module, including: The selection unit is configured to select two groups of coordinates in the EGA intelligent slot pipe network topology received by the capturing module. The selection unit is configured to select two groups of coordinates in the EGA intelligent slot pipe network topology received by the capturing module. The capturing module is configured to capture all EGA intelligent slot sewage flow transfer paths between the two groups of coordinates in the EGA intelligent slot pipe network topology based on the DFS algorithm. The capturing module is configured to capture all EGA intelligent slot sewage flow transfer paths between the two groups of coordinates in the EGA intelligent slot pipe network topology based on the DFS algorithm. The monitoring module is configured to receive EGA intelligent slot sewage treatment state parameters and identify EGA intelligent slot sewage treatment capacity based on the sewage treatment state parameters. The determination module is configured to continuously receive the EGA intelligent slot sewage treatment capacity identified by the monitoring module and determine EGA intelligent slots with poor sewage treatment capacity and EGA intelligent slots with good sewage treatment capacity based on the continuously received EGA intelligent slot sewage treatment capacity identification results. The statistical module is configured to count the number of EGA intelligent slots with good sewage treatment capacity and the number of EGA intelligent slots with poor sewage treatment capacity in the determination results of the determination module. The configuration module is configured to obtain EGA intelligent slots with poor sewage treatment capacity and configure EGA intelligent slots with good sewage treatment capacity and sewage flow transfer paths for the EGA intelligent slots with poor sewage treatment capacity. The creating module is connected to the uploading unit and the logic unit through wireless network interaction, the capturing module is connected to the creating module through wireless network interaction, the selection unit in the capturing module is connected to the creating module through medium electrical connection, the capturing module is connected to the monitoring module and the determination module through wireless network interaction, and the determination module is connected to the statistical module and the configuration module through wireless network interaction.

[0024] In the embodiment, the creation module runs to upload the EGA smart tank connection pipe network distribution information, creates the EGA smart tank pipe network topology based on the EGA smart tank connection pipe network distribution information, the uploading unit synchronously uploads the distribution information of the EGA smart tank connection pipe network, the logic unit continuously receives the EGA smart tank connection pipe network distribution information uploaded in the uploading module, forwards the EGA smart tank connection pipe network distribution information to the creation module, the capture module runs behind the creation module to receive the EGA smart tank pipe network topology created in the creation module, captures the EGA smart tank sewage flow path in the EGA smart tank pipe network topology, the selection unit synchronously selects two groups of coordinates in the EGA smart tank pipe network topology received by the capture module, the monitoring module further receives the EGA smart tank sewage treatment state parameter, identifies the EGA smart tank sewage treatment capacity based on the sewage treatment state parameter, and the judgment module continuously receives the EGA smart tank sewage treatment capacity identified by the monitoring module, identifies the EGA smart tank with poor sewage treatment capacity and the EGA smart tank with good sewage treatment capacity based on the continuously received EGA smart tank sewage treatment capacity identification result, the statistical module runs to count the number of EGA smart tanks with good sewage treatment capacity and the number of EGA smart tanks with poor sewage treatment capacity in the judgment module, and finally the configuration module obtains the EGA smart tank with poor sewage treatment capacity, configures the EGA smart tank with good sewage treatment capacity and the sewage flow path for the EGA smart tank with poor sewage treatment capacity.

[0025] Through the system running in the above embodiment, the EGA smart tank is brought remote intelligent control effect, ensures that the EGA smart tanks have the condition of mutually assisting in sewage treatment, provides the EGA smart tank sewage treatment performance, and guides the balance of the maintenance requirements of each EGA smart tank, so as to better carry out the regular offline maintenance of the EGA smart tank.

[0026] Embodiment 2: In the specific implementation level, on the basis of embodiment 1, the embodiment refers to Figure 1 The remote control system of one kind of EGA smart tank in embodiment 1 is further specifically explained: The output end of the EGA smart tank is provided with a water component sensor, and the water component sensor is used to sense the composition of the sewage treated and output by the EGA smart tank. The EGA smart tank sewage treatment state parameter includes: the composition of the sewage treated, the flow time of the sewage in the EGA smart tank, the cycle number and the sewage treatment capacity.

[0027] Through the above setting, the content of the EGA smart tank sewage treatment state parameter is further limited, and data support is provided for the system running in embodiment 1.

[0028] As Figure 1 shown, the identification logic of the EGA smart tank sewage treatment capacity is represented as: ; In the formula: is the EGA intelligent tank sewage treatment capacity performance value; is the sewage treatment capacity of the EGA intelligent tank in one sewage treatment task; is the sewage flow-through time of the EGA intelligent tank in one sewage treatment task; is the sewage circulation times of the EGA intelligent tank in one sewage treatment task; is the ratio of harmful substances to total drainage in the sewage discharged by the EGA intelligent tank in one sewage treatment task; The EGA intelligent tank determination logic in the determination module for the poor sewage treatment capacity and the good sewage treatment capacity is: ; In the formula: is the EGA intelligent tank sewage treatment capacity identified by the monitoring module in the latest three consecutive operations; wherein, when formula (1) is established, it is determined that corresponding to the EGA intelligent tank with poor sewage treatment capacity, when formula (2) is established, it is determined that corresponding to the EGA intelligent tank with good sewage treatment capacity, when there is a size relationship other than formula (1) and formula (2), the monitoring module obtains a new set of EGA intelligent tank sewage treatment capacity identification results again, and based on the poor sewage treatment capacity determination logic, the EGA intelligent tank with poor sewage treatment capacity and the EGA intelligent tank with good sewage treatment capacity are determined until the determination of the advantages and disadvantages of the EGA intelligent tank sewage treatment capacity is completed; When there are two sets of same EGA intelligent tank sewage treatment capacity performance values in the EGA intelligent tank sewage treatment capacity identified by the monitoring module in the latest three consecutive operations, the two sets of same EGA intelligent tank sewage treatment capacity performance values are used as a set of EGA intelligent tank sewage treatment capacity performance values.

[0029] Through the above logical formula and limitation, data support is provided for the final operation of the configuration module of the system in embodiment 1, ensuring the stable operation of the configuration module, and stably configuring the EGA intelligent tank with good sewage treatment capacity and the sewage flow path for the EGA intelligent tank with poor sewage treatment capacity.

[0030] Embodiment 3: At the specific implementation level, on the basis of embodiment 1, this embodiment refers to Figure 1 Further specific description is made on the remote control system of one EGA intelligent tank in embodiment 1: The statistical module running stage statistical target further comprises the EGA intelligent tank for continuously performing sewage treatment capacity judgment; When the number of the EGA intelligent tanks for continuously performing sewage treatment capacity judgment is greater than half of the total number of the EGA intelligent tanks in the EGA intelligent tank pipe network topology, offline maintenance is performed on all the EGA intelligent tanks in the EGA intelligent tank pipe network topology, and when the number of the EGA intelligent tanks with poor sewage treatment capacity is greater than the number of the EGA intelligent tanks with good sewage treatment capacity, offline maintenance is performed on all the EGA intelligent tanks in the EGA intelligent tank pipe network topology, otherwise, the configuration module is run; When the EGA intelligent tank with poor sewage treatment capacity is configured with the EGA intelligent tank with good sewage treatment capacity, the sewage flow path of the EGA intelligent tank with poor sewage treatment capacity corresponding to other EGA intelligent tanks is traversed, and the product of the shortest sewage flow path between the two groups of EGA intelligent tanks and the sewage treatment capacity performance value is used to determine the configuration target EGA intelligent tank of the EGA intelligent tank with poor sewage treatment capacity, and the configuration target is that when the product is maximum, the corresponding EGA intelligent tank with good sewage treatment capacity and the shortest sewage flow path between the corresponding EGA intelligent tank and the EGA intelligent tank with poor sewage treatment capacity are determined. Among the two groups of EGA intelligent tanks configured with each other, the EGA intelligent tank with poor sewage treatment capacity further flows to the EGA intelligent tank with good sewage treatment capacity based on the configured sewage flow path after treating sewage.

[0031] Through the above setting, the configuration logic for configuring the EGA intelligent tank with good sewage treatment capacity and the sewage flow path for the EGA intelligent tank with poor sewage treatment capacity is further limited.

[0032] In summary, in the above embodiment, the system captures the sewage flow paths between the EGA intelligent tanks by constructing the EGA intelligent tank pipe network topology during the running process, further judges the sewage treatment capacity of the EGA intelligent tanks based on the monitoring and analysis of the EGA intelligent tank sewage treatment state parameters, and then controls the EGA intelligent tanks to treat sewage and flow based on the judgment result, so that the EGA intelligent tanks have interactive linkage operation with each other, guarantee the sewage treatment effect, and avoid invalid EGA intelligent tank inspection, realize effective regular maintenance of the EGA intelligent tanks, and the maintenance requirements of each EGA intelligent tank are consistent.

[0033] The above examples are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that the technical solutions recorded in the foregoing examples can be modified, or some technical features can be replaced by equivalent features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A remote control system for an EGA smart tank, characterized in that, The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity.

2. The remote control system of an EGA smart slot according to claim 1, wherein, The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity.

3. The remote control system of an EGA smart slot according to claim 2, wherein, The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity.

4. The remote control system of an EGA smart slot according to claim 1, wherein, The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage treatment capacity, and configuring an EGA intelligent groove with poor sewage treatment capacity. The application relates to a system and method for creating an EGA intelligent groove pipe network topology, capturing an EGA intelligent groove sewage flow path, monitoring an EGA intelligent groove sewage treatment state parameter, identifying an EGA intelligent groove sewage treatment capacity, determining an EGA intelligent groove with poor sewage treatment capacity and an EGA intelligent groove with good sewage The selection unit runs two groups of coordinates selected as EGA smart tank installation positions, and the selection unit is continuously run, so that all combinations of all groups of two groups of coordinates in the EGA smart tank pipe network topology are used as selection targets in the continuous running of the selection unit. The capture module preferentially acquires two groups of coordinates selected by the selection unit when capturing the EGA smart tank sewage flow transfer path, and further captures all EGA smart tank sewage flow transfer paths between the two groups of coordinates in the EGA smart tank pipe network topology based on the DFS algorithm. The EGA smart tank sewage flow transfer path captured by the capture module is marked through the corresponding two groups of coordinates, and is stored in the capture module.

5. The remote control system of an EGA smart slot according to claim 1, wherein, The EGA smart tank is provided with a water component sensor at the output end, and the water component sensor is used to sense the composition of the treated sewage output by the EGA smart tank. The EGA smart tank sewage treatment state parameters include: the composition of the treated sewage, the sewage transfer time in the EGA smart tank, the cycle number, and the sewage treatment capacity.

6. The remote control system of an EGA smart tank according to claim 1, wherein, The identification logic of the EGA smart tank sewage treatment capacity is: ； In the formula: is the EGA intelligent tank sewage treatment capacity performance value; is the sewage treatment capacity of the EGA intelligent tank in one execution of the sewage treatment task; is the sewage flow-through time of the EGA intelligent tank in one execution of the sewage treatment task; is the sewage circulation number of the EGA intelligent tank in one execution of the sewage treatment task; is the ratio of the harmful substances in the sewage discharged by the EGA intelligent tank to the total amount of the sewage in one execution of the sewage treatment task.

7. The remote control system of an EGA smart slot according to claim 1 or 6, wherein, The EGA smart tank sewage treatment capacity identification logic in the determination module is: ； In the formula: The EGA intelligent tank sewage treatment capacity identified by the monitoring module in the latest three consecutive operations; If formula (1) is established, it is determined that If formula (2) is established, it is determined that the corresponding EGA intelligent tank is a poor sewage treatment EGA intelligent tank If formula (2) is established, it is determined that the corresponding EGA intelligent tank is a good sewage treatment EGA intelligent tank If there is a size relationship other than formula (1) and formula (2), the monitoring module runs again to obtain a new set of sewage treatment capacity identification results of the EGA intelligent tank, and based on the poor sewage treatment EGA intelligent tank determination logic, the poor sewage treatment EGA intelligent tank and the good sewage treatment EGA intelligent tank are determined until the sewage treatment capacity of the EGA intelligent tank is determined.

8. The remote control system of an EGA smart slot according to claim 7, wherein, When there are two groups of the same EGA smart tank sewage treatment capacity performance values in the latest three times of the EGA smart tank sewage treatment capacity identified by the monitoring module, the two groups of the same EGA smart tank sewage treatment capacity performance values are used as a group of EGA smart tank sewage treatment capacity performance values.

9. The remote control system of an EGA smart tank according to claim 1, wherein, The running stage statistical target of the statistical module further includes the EGA smart tank for continuously performing sewage treatment capacity judgment; When the number of EGA smart tanks for continuously performing sewage treatment capacity judgment is greater than one half of the total number of EGA smart tanks in the EGA smart tank pipe network topology, offline maintenance is performed on all EGA smart tanks in the EGA smart tank pipe network topology, and when the number of EGA smart tanks with poor sewage treatment capacity is greater than the number of EGA smart tanks with good sewage treatment capacity, offline maintenance is performed on all EGA smart tanks in the EGA smart tank pipe network topology, otherwise, the configuration module is jumped to run; When the EGA smart tank with poor sewage treatment capacity is configured with the EGA smart tank with good sewage treatment capacity, the sewage flow transfer path of the EGA smart tank with poor sewage treatment capacity corresponding to other EGA smart tanks is traversed, and the product of the shortest sewage flow transfer path and the sewage treatment capacity performance value between the two groups of EGA smart tanks is used to determine the configuration target EGA smart tank of the EGA smart tank with poor sewage treatment capacity, and the configuration target is: when the product is maximum, the corresponding EGA smart tank with good sewage treatment capacity and the shortest sewage flow transfer path between the corresponding EGA smart tank and the EGA smart tank with poor sewage treatment capacity. Among them, each group of EGA smart tanks with good sewage treatment capacity is only used as the configuration target of a group of EGA smart tanks with poor sewage treatment capacity, and among the two groups of EGA smart tanks configured with each other, the EGA smart tank with poor sewage treatment capacity further transfers to the EGA smart tank with good sewage treatment capacity after treating the sewage based on the configured sewage flow transfer path.

10. The remote control system of an EGA smart tank according to claim 1, wherein, The creation module is connected with an uploading unit and a logic unit through wireless network interaction, the creation module is connected with a capturing module through wireless network interaction, the capturing module is connected with a selection unit through medium electrical connection, the selection unit is connected with the creation module through wireless network interaction, the capturing module is connected with a monitoring module and a judgment module through wireless network interaction, and the judgment module is connected with a statistical module and a configuration module through wireless network interaction.

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