Remote control method and system based on data analysis

Abstract

The invention discloses a remote control method and system based on data analysis, and relates to the technical field of remote control, and the system comprises a flow chart drawing module, an added node analysis module, an alternative added node set generation module, a target node determination module and a main body equipment optimization module. The flow chart drawing module is used for drawing a logic flow chart for the operation relationship among the devices in the integrated intelligent sewage interception pump station control system; the added node analysis module is used for capturing added nodes which can be allowed to add new control equipment in the operation process of the control system; the alternative added node set generation module is used for outputting an alternative added node set in the logic flow chart corresponding to each main body device; a target node determination module analyzes an added node, which has the minimum influence on the control logic after each added node is newly added, of the main equipment in each alternative added node set, and takes the added node as a target node of the corresponding main equipment; and the main body equipment optimization module is used for optimizing and updating the target node of the main body equipment.

Description

Technical Field

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

[0002] With the development of technology and the improvement of sewage treatment requirements, the functions and equipment of pumping stations may need to be continuously upgraded and expanded. However, the existing control logic may not have fully taken into account future changes when it was designed, resulting in poor adaptability and scalability of the control system. For example, when it is necessary to add new water quality monitoring indicators or introduce new intelligent devices, it may be necessary to make large-scale modifications and adjustments to the entire control logic, which increases the difficulty of system upgrades. It is difficult to make fundamental improvements to the existing integrated intelligent sewage interception pumping station control system that is already in operation. Therefore, how to effectively determine the location of possible additional equipment based on the existing control logic with minimal logical modification is worth studying for different remote control systems. Summary of the Invention

[0003] The purpose of the present invention is to provide a remote control method and system based on data analysis to solve the problems raised in the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a remote control method based on data analysis, the method comprising:

[0005] Step S1: Draw a logic flow chart of the operating relationship between various devices in the integrated intelligent sewage interception pump station control system;

[0006] Step S2: Based on the logic flow chart, capture the addition node that allows the addition of new control devices during the operation of the control system;

[0007] Step S3: Obtain all new control devices that can be added from the control system record, take the new control device as the main device, and output the candidate addition node set in the logic flow chart corresponding to each main device;

[0008] Step S4: Analyze each candidate added node set to find the added node that has the least impact on the control logic of the main device after each added node is added, and use this added node as the target node of the corresponding main device;

[0009] Step S5: Respond to the demand for newly added control devices in real time based on the target node. When the number of newly added control devices at the same added node is greater than one, optimize and update the target node of the main device.

[0010] Furthermore, step S1 includes the following specific processes:

[0011] Using data monitoring devices in the control system as search items, find the control execution devices that have a response operation relationship with each data monitoring device. The response operation relationship means that the monitoring data obtained by the data monitoring device is used as a transmission factor analysis to perform signal control and response execution on the control execution device after the trigger condition is met.

[0012] Extract data monitoring devices and corresponding control execution devices that have response operation relationships, use them as device nodes in the logic flow chart, and draw connections with the transmission direction of the monitoring data as the flow direction in the logic flow chart;

[0013] Traverse all devices in the control system to generate a logic flow chart containing all devices.

[0014] Furthermore, step S2 includes the following specific processes:

[0015] Capture independent logic links that can form independent operation relationships from the logic flow chart and generate several independent logic links;

[0016] When a new control device is allowed to be added and there is a replaceable device node in any independent logical link, the replaceable device node is marked as the added node of the new control device; all independent logical links are traversed to generate all the added nodes of the new control device; replaceable means that the other device nodes in the independent logical link except the new control device remain unchanged, while the link composed of the corresponding process direction can be changed, and the change includes direction change and quantity change.

[0017] The analysis of allowable nodes to be added is to analyze and determine in advance the positions of devices that can undergo logical control changes on the original control system, which effectively saves the energy of logical analysis of the overall control system when there is a demand for new equipment.

[0018] Furthermore, step S3 outputs a set of candidate added nodes in the logic flow chart corresponding to each main device, including the following specific steps:

[0019] Extract the functional features that can be implemented in the integrated intelligent sewage interception pump station control system of the main equipment, use each functional feature as a set guide, collect different addition nodes corresponding to the same functional feature, and store them in the same set of candidate addition nodes;

[0020] All functional features of the same main device are traversed until a candidate addition node set containing several set orientations is generated.

[0021] Furthermore, step S4 includes the following specific steps:

[0022] Step S41: Determine the logical relationship between the main device and each of the added nodes in the candidate added node set. The logical relationship includes a parallel relationship and a progressive relationship. A parallel relationship means that the main device independently affects the system operation, and a progressive relationship means that the main device needs to add new judgment conditions to affect the system operation.

[0023] Step S42: Mark the added node with a parallel logical relationship as the first added node, and mark the added node with a progressive logical relationship as the second added node; obtain the maximum number M of independent logical links of the main device after the first added node i is added i The maximum number of independent logical links affected refers to the maximum number of independent logical links affected by other device nodes except the first added node in the independent logical links affected by the main device after the addition of the main device; using the formula: P i =M i / N; calculate the first impact index P of the main device after the first added node i is added i , where N represents the total number of all independent logical links in the control system; P i The smaller the value, the smaller the modification and adjustment of the overall operation control logic by the newly added main device corresponding to the first added node; the smaller the impact;

[0024] Step S43: Obtain the number of device nodes X that the main device directly affects after the jth second added node is added j , the number of device nodes indirectly affected Y j The similarity S before and after the judgment condition changes j ; and for the above X j 、Y j 、S j Perform normalization to obtain the corresponding normalized X 0j 、Y 0j 、S 0j ; Directly affected device nodes refer to device nodes connected to the main device through a link in the process direction. Indirectly affected device nodes refer to device nodes connected based on the directly affected device nodes under the link condition in the process direction, excluding the main device; using the formula:

[0025] Z j =k1*X 0j +k2*Y 0j +k3*(1 / S 0j );

[0026] Calculate the second impact index Z of the main device after the jth second added node is added j , where i+j=m, where m represents the total number of nodes added by the corresponding main device in the candidate added node set;

[0027] k1, k2, and k3 represent corresponding reference coefficients. The smaller the second impact index, the smaller the impact of the main device on the existing system logic operation relationship in the progressive relationship, and the smaller the logic modification.

[0028] Step S44: Set the priority of the first added node to be greater than the priority of the second added node, and sort the first added nodes in ascending order according to the values of the corresponding first influence index to generate a first sequence; sort the second added nodes in ascending order according to the values of the corresponding second influence index to generate a second sequence; when the first added node exists, select the first added node in the first sequence as the target node of the corresponding main device; when the first added node does not exist, select the first added node in the second sequence as the target node of the corresponding main device.

[0029] Furthermore, optimizing and updating the target node of the main device includes the following specific steps:

[0030] Step S51: responding to the demand for adding a new control device in real time based on the target node means that when the remote control system responds to the demand for adding a new device, it matches the same main device to retrieve the corresponding target node and performs a new operation at the target node location;

[0031] Step S52: Mark newly added control devices of the same added node as control devices to be analyzed, obtain the added node ranking of each control device to be analyzed in the corresponding candidate added node set, and select the added nodes in the first d positions in the added node ranking as the added nodes to be analyzed; d represents the number of control devices to be analyzed. Generate all added node position combinations based on the control devices to be analyzed, and calculate the first influence index or the second influence index for each added node position combination.

[0032] When the added node position combination is such that all the control devices to be analyzed are added at the same node, the control devices to be analyzed need to be treated as a whole device to determine the logical relationship and calculate the first impact index or the second impact index;

[0033] When the added node position combination is such that the control devices to be analyzed are evenly distributed on different added nodes, the logical relationship is determined and the influence index is calculated at each added node, and the sum of the influence indexes is taken as the result of the combination;

[0034] Step S53: comparing the influence index values under different combinations of added node positions, and taking the added node position corresponding to the minimum influence index value and the control device to be analyzed placed at the corresponding position as the updated structure.

[0035] The remote control system based on data analysis includes a flow chart drawing module, a node addition analysis module, an alternative node addition set generation module, a target node determination module and a main equipment optimization module;

[0036] The flow chart drawing module is used to draw a logical flow chart of the operating relationship between various devices in the integrated intelligent sewage interception pump station control system;

[0037] The added node analysis module is used to capture the added nodes that allow new control devices to be added during the operation of the control system;

[0038] The candidate adding node set generating module is used to output the candidate adding node set in the logic flow chart corresponding to each main device;

[0039] The target node determination module is used to analyze the added node in each candidate added node set to find the one with the least impact on the control logic of the main device after each added node is added, and use this added node as the target node of the corresponding main device;

[0040] The main device optimization module is used to optimize and update the target node of the main device.

[0041] Furthermore, the target node determination module includes a logic relationship judgment unit, an influence index calculation unit, and a target node output unit;

[0042] The logic relationship judgment unit is used to judge the logic relationship of each added node in the candidate added node set of the main device after it is added.

[0043] The influence index calculation unit is used to calculate the first influence index and the second influence index;

[0044] The target node output unit is used to set the priority of the first added node to be greater than the priority of the second added node, and to sort the first added nodes in ascending order according to the values corresponding to the first influence index to generate a first sequence; to sort the second added nodes in ascending order according to the values corresponding to the second influence index to generate a second sequence; when the first added node exists, the first added node in the first sequence is selected as the target node of the corresponding main device; when the first added node does not exist, the first added node in the second sequence is selected as the target node of the corresponding main device.

[0045] Furthermore, the main equipment optimization module includes a control equipment determination unit to be analyzed, a position combination generation unit, and an index comparison unit;

[0046] The control device to be analyzed determining unit is used to mark the newly added control device of the same added node as the control device to be analyzed,

[0047] The position combination generating unit is used to generate all added node position combinations based on the control device to be analyzed, and calculate the first influence index or the second influence index of the corresponding combination based on each added node position combination;

[0048] The index comparison unit is used to compare the index results under different position combinations, and take the added node position corresponding to the minimum value of the impact index and the control device to be analyzed placed at the corresponding position as the updated structure.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] 1. The present invention analyzes the data operation control logic between different devices by monitoring the remote control system, sorts out the logical relationship of the overall operation and analyzes it, thereby achieving clarity of data transmission and visualization of the relationship between devices;

[0051] 2. The present invention also determines the overall impact of the device after being added to the original control system by quantitatively analyzing the impact of the newly added preview logical relationship and the modification range of all allowable newly added devices, and screens and analyzes the best and most suitable addition node when there are multiple addable nodes with the same functional characteristics, thereby pre-evaluating the new device based on the original control logic, improving the rationality and analysis convenience of the new device's response to the addition demand, and at the same time, performing a comprehensive quantitative analysis again when dealing with multiple different devices adding the same node at the same time, to ensure the efficient operation of the system and minimize logical modifications, thereby improving the adaptability and scalability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 Schematic diagram of the structure of the remote control method based on data analysis of the present invention. DETAILED DESCRIPTION

[0053] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0054] Example: Figure 1 As shown, the present invention provides a remote control method based on data analysis, the method comprising:

[0055] Step S1: Draw a logic flow chart of the operating relationship between various devices in the integrated intelligent sewage interception pump station control system;

[0056] Step S2: Based on the logic flow chart, capture the addition node that allows the addition of new control devices during the operation of the control system;

[0057] Step S3: Obtain all new control devices that can be added from the control system record, take the new control device as the main device, and output the candidate addition node set in the logic flow chart corresponding to each main device;

[0058] Step S4: Analyze each candidate added node set to find the added node that has the least impact on the control logic of the main device after each added node is added, and use this added node as the target node of the corresponding main device;

[0059] Step S5: Respond to the demand for newly added control devices in real time based on the target node. When the number of newly added control devices at the same added node is greater than one, optimize and update the target node of the main device.

[0060] Step S1 includes the following specific processes:

[0061] Using data monitoring devices in the control system as search items, find the control execution devices that have a response operation relationship with each data monitoring device. The response operation relationship means that the monitoring data obtained by the data monitoring device is used as a transmission factor analysis to perform signal control and response execution on the control execution device after the trigger condition is met.

[0062] Extract data monitoring devices and corresponding control execution devices that have response operation relationships, use them as device nodes in the logic flow chart, and draw connections with the transmission direction of the monitoring data as the flow direction in the logic flow chart;

[0063] Traverse all devices in the control system to generate a logic flow chart containing all devices.

[0064] Step S2 includes the following specific processes:

[0065] Capture independent logic links that can form independent operation relationships from the logic flow chart and generate several independent logic links;

[0066] When a new control device is allowed to be added and there is a replaceable device node in any independent logical link, the replaceable device node is marked as the added node of the new control device; all independent logical links are traversed to generate all the added nodes of the new control device; replaceable means that the other device nodes in the independent logical link except the new control device remain unchanged, while the link composed of the corresponding process direction can be changed, and the change includes direction change and quantity change.

[0067] The analysis of allowable nodes to be added is to analyze and determine in advance the positions of devices that can undergo logical control changes on the original control system, which effectively saves the energy of logical analysis of the overall control system when there is a demand for new equipment.

[0068] As shown in the embodiment, some sensors are set up in the remote control system to acquire data. In this application, the liquid level sensor and the submersible sewage pump can form an independent logical link. The operation relationship is as follows: when the liquid level sensor detects that the liquid level in the sump has risen to the high water level threshold, the control system will automatically start the submersible sewage pump to lift the sewage to the treatment facility or downstream sewage pipe;

[0069] Another example: screen cleaner, liquid level sensor, pump group; the operating relationship is as follows: the screen cleaner usually starts running according to the set time interval or the liquid level difference before and after the screen. When the liquid level difference before and after the screen reaches a certain threshold (such as 0.5-1 meter), it means that the screen may be blocked by debris, and the screen cleaner needs to be started to clean it to ensure that the sewage can flow smoothly into the collection tank to avoid affecting the water absorption conditions of the pump group. At the same time, the operation of the screen cleaner will also be coordinated with the operating status of the pump group. When the pump group is running, the screen cleaner should maintain normal operation, clean up the debris in the sewage in time, and prevent the debris from entering the pump body and causing blockage or damage. When the pump group stops running, the screen cleaner can appropriately reduce the operating frequency or suspend operation according to the actual situation (such as low liquid level, no sewage inflow, etc.) to save energy and equipment loss.

[0070] If the new control device is a smart flow meter, it can be added to the logic link corresponding to the submersible sewage pump and liquid level sensor. The specific operating logic is as follows: When the liquid level reaches the high water level threshold, in addition to starting the submersible sewage pump as before, the real-time sewage flow data monitored by the smart flow meter will also be referenced. If the flow rate is low, only a low-power submersible sewage pump may be activated; if the flow rate is high, multiple submersible sewage pumps or high-power submersible sewage pumps will be activated to ensure timely and effective sewage lifting and prevent the sump level from continuing to rise.

[0071] Step S3 outputs the candidate addition node set in the logic flow chart corresponding to each main device, including the following specific steps:

[0072] Extract the functional features that can be implemented in the integrated intelligent sewage interception pump station control system of the main equipment, use each functional feature as a set guide, collect different addition nodes corresponding to the same functional feature, and store them in the same set of candidate addition nodes;

[0073] All functional features of the same main device are traversed until a candidate addition node set containing several set orientations is generated.

[0074] As shown in the embodiment, when the newly added device is an intelligent flow meter, when it acts on the change of the logic control of the pump group, the functional feature is to obtain real-time flow data in the submersible sewage pump; when it acts on the change of the valve control logic, the functional feature is to obtain real-time flow data in the drain valve or sewage interception valve.

[0075] Step S4 includes the following specific steps:

[0076] Step S41: Determine the logical relationship between the main device and each of the added nodes in the candidate added node set. The logical relationship includes a parallel relationship and a progressive relationship. A parallel relationship means that the main device independently affects the system operation, and a progressive relationship means that the main device needs to add new judgment conditions to affect the system operation.

[0077] Step S42: Mark the added node with a parallel logical relationship as the first added node, and mark the added node with a progressive logical relationship as the second added node; obtain the maximum number M of independent logical links of the main device after the first added node i is added i The maximum number of independent logical links affected refers to the maximum number of independent logical links affected by other device nodes except the first added node in the independent logical links affected by the main device after the addition of the main device; using the formula: P i =M i / N; calculate the first impact index P of the main device after the first added node i is added i , where N represents the total number of all independent logical links in the control system; P i The smaller the value, the smaller the modification and adjustment of the overall operation control logic by the newly added main device corresponding to the first added node; the smaller the impact;

[0078] Step S43: Obtain the number of device nodes X that the main device directly affects after the jth second added node is added j , the number of device nodes indirectly affected Y j The similarity S before and after the judgment condition changes j ; and for the above X j 、Y j 、S j Perform normalization to obtain the corresponding normalized X 0j 、Y 0j 、S 0j ; Directly affected device nodes refer to device nodes connected to the main device through a link in the process direction. Indirectly affected device nodes refer to device nodes connected based on the directly affected device nodes under the link condition in the process direction, excluding the main device; using the formula:

[0079] Z j =k1*X 0j +k2*Y 0j +k3*(1 / S 0j );

[0080] Calculate the second impact index Z of the main device after the jth second added node is added j , where i+j=m, where m represents the total number of nodes added by the corresponding main device in the candidate added node set;

[0081] k1, k2, and k3 represent corresponding reference coefficients. The smaller the second impact index, the smaller the impact of the main device on the existing system logic operation relationship in the progressive relationship, and the smaller the logic modification.

[0082] Step S44: Set the priority of the first added node to be greater than the priority of the second added node, and sort the first added nodes in ascending order according to the values of the corresponding first influence index to generate a first sequence; sort the second added nodes in ascending order according to the values of the corresponding second influence index to generate a second sequence; when the first added node exists, select the first added node in the first sequence as the target node of the corresponding main device; when the first added node does not exist, select the first added node in the second sequence as the target node of the corresponding main device.

[0083] Optimizing and updating the target nodes of the main device includes the following specific steps:

[0084] Step S51: responding to the demand for adding a new control device in real time based on the target node means that when the remote control system responds to the demand for adding a new device, it matches the same main device to retrieve the corresponding target node and performs a new operation at the target node location;

[0085] Step S52: Mark the newly added control devices of the same added node as the control devices to be analyzed, obtain the added node ranking of each control device to be analyzed in the corresponding candidate added node set, and select the added nodes with the first d positions in the added node ranking as the added nodes to be analyzed; d represents the number of control devices to be analyzed, and the purpose of setting the first d positions is to ensure that the control devices to be analyzed can be evenly distributed at different position nodes during analysis; that is, at most one newly added control device can be placed at each position node; generate all added node position combinations based on the control devices to be analyzed, and calculate the first influence index or the second influence index of the corresponding combination based on each added node position combination;

[0086] When the added node position combination is such that all the control devices to be analyzed are added at the same node, the control devices to be analyzed need to be treated as a whole device to determine the logical relationship and calculate the first impact index or the second impact index;

[0087] When the added node position combination is such that the control devices to be analyzed are evenly distributed on different added nodes, the logical relationship is determined and the influence index is calculated at each added node, and the sum of the influence indexes is taken as the result of the combination;

[0088] Step S53: comparing the influence index values under different combinations of added node positions, and taking the added node position corresponding to the minimum influence index value and the control device to be analyzed placed at the corresponding position as the updated structure.

[0089] As shown in the examples:

[0090] There are devices a and b that both respond and are placed at device node 1;

[0091] And the node sequence corresponding to device a is 1, 2, 4, 6;

[0092] The node sequence corresponding to device b is 1, 3, and 7;

[0093] The generated combinations of added node positions are:

[0094] (a1,b1), indicating that both are placed at device node 1;

[0095] (a2,b1), means a is placed at node 2 and b is placed at node 1;

[0096] (a1,b3), means a is placed at node 1 and b is placed at node 3;

[0097] There is no such thing as a being placed at node 2 and b being placed at node 3, because at least one optimal node position must be retained;

[0098] Based on the above three positions, the impact index is calculated separately for further judgment. If it is determined that (a1, b3) has the least impact, then when devices a and b need to place node 1 at the same time, they can be added according to the updated logical relationship of placing a on 1 and b on 3.

[0099] The remote control system based on data analysis includes a flow chart drawing module, a node addition analysis module, an alternative node addition set generation module, a target node determination module and a main equipment optimization module;

[0100] The flow chart drawing module is used to draw a logical flow chart of the operating relationship between various devices in the integrated intelligent sewage interception pump station control system;

[0101] The added node analysis module is used to capture the added nodes that allow new control devices to be added during the operation of the control system;

[0102] The candidate adding node set generating module is used to output the candidate adding node set in the logic flow chart corresponding to each main device;

[0103] The target node determination module is used to analyze the added node in each candidate added node set to find the one with the least impact on the control logic of the main device after each added node is added, and use this added node as the target node of the corresponding main device;

[0104] The main device optimization module is used to optimize and update the target node of the main device.

[0105] The target node determination module includes a logic relationship judgment unit, an influence index calculation unit and a target node output unit;

[0106] The logic relationship judgment unit is used to judge the logic relationship of each added node in the candidate added node set of the main device after it is added.

[0107] The influence index calculation unit is used to calculate the first influence index and the second influence index;

[0108] The target node output unit is used to set the priority of the first added node to be greater than the priority of the second added node, and to sort the first added nodes in ascending order according to the values corresponding to the first influence index to generate a first sequence; to sort the second added nodes in ascending order according to the values corresponding to the second influence index to generate a second sequence; when the first added node exists, the first added node in the first sequence is selected as the target node of the corresponding main device; when the first added node does not exist, the first added node in the second sequence is selected as the target node of the corresponding main device.

[0109] The main equipment optimization module includes a control equipment determination unit to be analyzed, a position combination generation unit and an index comparison unit;

[0110] The control device to be analyzed determining unit is used to mark the newly added control device of the same added node as the control device to be analyzed,

[0111] The position combination generating unit is used to generate all added node position combinations based on the control device to be analyzed, and calculate the first influence index or the second influence index of the corresponding combination based on each added node position combination;

[0112] The index comparison unit is used to compare the index results under different position combinations, and take the added node position corresponding to the minimum value of the impact index and the control device to be analyzed placed at the corresponding position as the updated structure.

[0113] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A remote control method based on data analysis, characterized in that: The method comprises: Step S1: Draw a logic flow chart of the operating relationship between various devices in the integrated intelligent sewage interception pump station control system; Step S2: Based on the logic flow chart, capture the addition node that allows the addition of new control devices during the operation of the control system; Step S3: Obtain all new control devices that can be added from the control system record, take the new control device as the main device, and output the candidate addition node set in the logic flow chart corresponding to each main device; Step S4: Analyze each candidate added node set to find the added node that has the least impact on the control logic of the main device after each added node is added, and use this added node as the target node of the corresponding main device; Step S5: Respond to the demand for newly added control devices in real time based on the target node. When the number of newly added control devices at the same added node is greater than one, optimize and update the target node of the main device.

2. The remote control method based on data analysis according to claim 1, characterized in that: The step S1 includes the following specific processes: Using data monitoring devices in the control system as search items, search for control execution devices that have a response operation relationship with each data monitoring device; the response operation relationship means that the monitoring data obtained by the data monitoring device is used as a transmission factor analysis to perform signal control and response execution on the control execution device after the trigger condition is met; Extract data monitoring devices and corresponding control execution devices that have response operation relationships, use them as device nodes in the logic flow chart, and draw connections with the transmission direction of the monitoring data as the flow direction in the logic flow chart; Traverse all devices in the control system to generate a logic flow chart containing all devices.

3. The remote control method based on data analysis according to claim 2, characterized in that: The step S2 includes the following specific processes: Capture independent logic links that can form independent operation relationships from the logic flow chart and generate several independent logic links; When a new control device is allowed to be added and there is a replaceable device node in any independent logical link, the replaceable device node is marked as an added node of the new control device; all independent logical links are traversed to generate all added nodes of the new control device; the replaceability means that other device nodes in the independent logical link except the new control device remain unchanged, while the link composed of the corresponding process direction can be changed, and the change includes a direction change and a quantity change.

4. The remote control method based on data analysis according to claim 2, characterized in that: The step S3 outputs the candidate addition node set in the logic flow chart corresponding to each main device, including the following specific steps: Extract the functional features that can be implemented in the integrated intelligent sewage interception pump station control system of the main equipment, use each functional feature as a set guide, collect different addition nodes corresponding to the same functional feature, and store them in the same set of candidate addition nodes; All functional features of the same main device are traversed until a candidate addition node set containing several set orientations is generated.

5. The remote control method based on data analysis according to claim 3, characterized in that: The step S4 includes the following specific steps: Step S41: Determine the logical relationship between the main device and each additional node in the candidate additional node set after the addition. The logical relationship includes a parallel relationship and a progressive relationship. The parallel relationship means that the main device independently affects the system operation, and the progressive relationship means that the main device needs to add new judgment conditions to affect the system operation. Step S42: Mark the added node with a parallel logical relationship as the first added node, and mark the added node with a progressive logical relationship as the second added node; obtain the maximum number M of independent logical links of the main device after the first added node i is added i The maximum number of independent logical links affected refers to the maximum number of independent logical links affected by the main device after it is added, excluding the first added node, when other device nodes act on other independent logical links; using the formula: P i =M i / N; calculate the first impact index P of the main device after the first added node i is added i , where N represents the total number of all independent logical links in the control system; Step S43: Obtain the number of device nodes X that the main device directly affects after the jth second added node is added j , the number of device nodes indirectly affected Y j The similarity S before and after the judgment condition changes j ; and for the above X j 、Y j 、S j Perform normalization to obtain the corresponding normalized X 0j 、Y 0j 、S 0j The directly affected device nodes refer to the device nodes connected to the main device through a link in the process direction, and the indirectly affected device nodes refer to the device nodes connected based on the directly affected device nodes under the link conditions in the process direction, excluding the main device; using the formula: Z j =k1*X 0j +k2*Y 0j +k3*(1 / S 0j ); Calculate the second impact index Z of the main device after the jth second added node is added j , where i+j=m, where m represents the total number of nodes added by the corresponding main device in the candidate added node set; k1, k2, k3 represent the corresponding reference coefficients; Step S44: Set the priority of the first added node to be greater than the priority of the second added node, and sort the first added nodes in ascending order according to the values of the corresponding first influence index to generate a first sequence; sort the second added nodes in ascending order according to the values of the corresponding second influence index to generate a second sequence; when the first added node exists, select the first added node in the first sequence as the target node of the corresponding main device; when the first added node does not exist, select the first added node in the second sequence as the target node of the corresponding main device.

6. The remote control method based on data analysis according to claim 5, characterized in that: The optimization and updating of the target node of the main device includes the following specific steps: Step S51: The real-time response to the demand for adding a new control device based on the target node means that when the remote control system responds to the demand for adding a new device, the target node corresponding to the same main device is retrieved and the adding operation is performed at the target node position; Step S52: Mark newly added control devices of the same added node as control devices to be analyzed, obtain the added node ranking of each control device to be analyzed in the corresponding candidate added node set, and select the added nodes with the first d positions in the added node ranking as the added nodes to be analyzed; d represents the number of control devices to be analyzed; Generate all added node position combinations based on the control device to be analyzed, and calculate the first impact index or the second impact index of the corresponding combination based on each added node position combination; When the added node position combination is such that all the control devices to be analyzed are added at the same node, the control devices to be analyzed need to be treated as a whole device to determine the logical relationship and calculate the first impact index or the second impact index; When the added node position combination is such that the control devices to be analyzed are evenly distributed on different added nodes, the logical relationship is determined and the influence index is calculated at each added node, and the sum of the influence indexes is taken as the result of the combination; Step S53: comparing the influence index values under different combinations of added node positions, and taking the added node position corresponding to the minimum influence index value and the control device to be analyzed placed at the corresponding position as the updated structure.

7. A remote control system based on data analysis, such as a remote control method based on data analysis according to any one of claims 1 to 6, characterized in that: The system includes a flow chart drawing module, an adding node analysis module, an alternative adding node set generation module, a target node determination module and a main equipment optimization module; The flowchart drawing module is used to draw a logic flowchart of the operating relationship between various devices in the integrated intelligent sewage interception pump station control system; The added node analysis module is used to capture the added nodes that allow the addition of new control devices during the operation of the control system; The candidate adding node set generating module is used to output the candidate adding node set in the logic flow chart corresponding to each main device; The target node determination module is used to analyze the added node in each candidate added node set that has the least impact on the control logic of the main device after each added node is added, and use this added node as the target node of the corresponding main device; The main device optimization module is used to optimize and update the target node of the main device.

8. The remote control system based on data analysis according to claim 7, characterized in that: The target node determination module includes a logical relationship judgment unit, an influence index calculation unit and a target node output unit; The logic relationship judgment unit is used to judge the logic relationship of each additional node in the candidate additional node set after the main device is added. The influence index calculation unit is used to calculate a first influence index and a second influence index; The target node output unit is used to set the priority of the first added node to be greater than the priority of the second added node, and to sort the first added nodes in ascending order according to the values of the corresponding first influence indexes to generate a first sequence; to sort the second added nodes in ascending order according to the values of the corresponding second influence indexes to generate a second sequence; when the first added node exists, the first added node in the first sequence is selected as the target node of the corresponding main device; when the first added node does not exist, the first added node in the second sequence is selected as the target node of the corresponding main device.

9. The remote control system based on data analysis according to claim 8, characterized in that: The main equipment optimization module includes a control equipment determination unit to be analyzed, a position combination generation unit and an index comparison unit; The control device to be analyzed determining unit is used to mark the newly added control device of the same added node as the control device to be analyzed, The position combination generating unit is used to generate all added node position combinations based on the control device to be analyzed, and calculate the first influence index or the second influence index of the corresponding combination based on each added node position combination; The index comparison unit is used to compare index results under different position combinations, and use the added node position corresponding to the minimum impact index value and the control device to be analyzed placed at the corresponding position as the updated structure.

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