Water supply network optimized supply scheduling system based on big data analysis

Abstract

The invention discloses a water supply pipe network optimized supply scheduling system based on big data analysis, relates to the technical field of water supply pipe network optimization, and solves the problems that in the prior art, scheduling constraint analysis cannot be performed on a water supply pipe network after a scheduling decision is executed, the scheduling efficiency cannot be ensured, and the scheduling efficiency cannot be ensured. The technical problem that scheduling optimization cannot be carried out in combination with real-time water supply conditions in the scheduling stage is solved, specifically, scheduling constraint analysis is carried out on the water supply pipe network, scheduling of the water supply pipe network is adjusted through the scheduling constraint analysis, the supply scheduling efficiency of the water supply pipe network is improved, scheduling regulation and control can be conveniently carried out when the supply scheduling efficiency is abnormal, and the scheduling efficiency is improved. Efficient supply scheduling of the water supply network is ensured, the influence of a supply deviation area of the water supply network can be effectively compensated, and the water supply efficiency of the whole water supply network is ensured; the scheduling supply analysis is performed on the water supply network, and whether the scheduling of the current water supply network needs to be optimized or not is deduced by combining the operation characteristic analysis of the scheduling supply water pump, so that the scheduling efficiency of the water supply network is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply network optimization, and in particular to a water supply network optimization supply scheduling system based on big data analysis. Background Art

[0002] The water supply network is the main component of the water supply network, including water transmission channels and water distribution networks. The water transmission channels are mainly used to transmit water from the water source to the water plant or from the water plant to the water distribution network; the water distribution network is responsible for distributing water to various user areas, among which the pipeline that plays the main role of water transmission is called the trunk pipe, the pipeline that branches out from the trunk pipe and plays the role of water distribution is called the branch pipe, and the branch pipe connected to the user is called the user branch pipe.

[0003] However, in the existing technology, the water supply network cannot infer water supply demand based on historical period analysis, and cannot accurately judge scheduling demand in combination with real-time supply period analysis. At the same time, it is impossible to detect real-time supply, so it is impossible to decide whether to demand scheduling. In addition, after the scheduling decision is executed, the water supply network cannot be subject to scheduling constraint analysis, the scheduling efficiency cannot be ensured, and the scheduling stage cannot be combined with real-time water supply conditions for scheduling optimization.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a water supply network optimization supply scheduling system based on big data analysis.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A water supply network optimization supply scheduling system based on big data analysis includes an optimization supply scheduling platform, wherein the optimization supply scheduling platform is communicatively connected with a historical demand data analysis unit, a real-time supply scheduling unit, a scheduling constraint analysis unit, and a scheduling optimization analysis unit;

[0008] The historical demand data analysis unit analyzes the historical supply period of the water supply network, obtains the water supply volume of each supply port of the water supply network during the historical supply period, and collects the preset water consumption of the water users in the covered area according to the supply port; obtains the fixed water consumption of the water users, the non-fixed water consumption of the water users, the long-term floating value and the short-term floating value according to the data collection, collects the supply risk information, obtains the supply risk analysis coefficient through calculation, and infers the supply risk through coefficient comparison;

[0009] The real-time supply dispatching unit conducts real-time supply analysis on the water supply network, divides the water supply network into several zones according to the coverage area of ​​the supply port, collects zone water supply quality information and zone water supply risk information, and infers whether there is a risk in real-time water supply based on information analysis, and dispatches if there is a risk;

[0010] After the scheduling is executed, the scheduling constraint analysis unit performs scheduling constraint analysis on the water supply network, collects loss constraint information and pressure constraint information, and infers whether the water supply scheduling is qualified based on information comparison;

[0011] The scheduling optimization analysis unit performs scheduling and supply analysis on the water supply network, collects and receives scheduling optimization data and separates scheduling optimization data, and optimizes and regulates the water supply scheduling of the water supply network through data analysis.

[0012] As a preferred embodiment of the present invention, the frequency numerical ratio of the excess of the water supply valley value and the preset water consumption in the historical supply period and the frequency of occurrence of the preset water consumption higher than the water supply valley value is obtained. If the corresponding frequency numerical ratio does not exceed the frequency numerical ratio threshold, the corresponding preset water consumption is marked as a fixed water consumption at the water use end; if the corresponding frequency numerical ratio exceeds the frequency numerical ratio threshold, the corresponding preset water consumption is marked as a non-fixed water consumption at the water use end.

[0013] As a preferred embodiment of the present invention, the water consumption at each moment in the historical supply period of the water user is compared with the fixed water consumption of the water user end, the water consumption range at each moment in the historical supply period and the fixed water consumption of the water user end are divided into ranges, and the water consumption range outside the fixed water consumption of the water user end is set as a water use floating range, according to the frequency of occurrence of values ​​in the water use floating range in the historical supply period, if the frequency of occurrence of the corresponding value exceeds the frequency threshold, the corresponding value is marked as a long-term floating value; conversely, if the frequency of occurrence of the corresponding value does not exceed the frequency threshold, the corresponding value is marked as a short-term floating value; according to the long-term floating value and the short-term floating value, they are marked as a long-term water use floating range and a short-term water use floating range respectively.

[0014] As a preferred embodiment of the present invention, the supply risk information includes the frequency of the continuous increase in the numerical deviation between the fixed water consumption at the water user end at each moment in the current supply period of the water supply network and the actual water consumption at the corresponding moment, the rate of increase in the continuous duration of the water supply at the supplied moment in the current supply period of the water supply network being at the peak of the long-term water consumption floating range, and the increase span of the corresponding deviation value between the peak water supply at the supplied moment in the current supply period of the water supply network and the peak of the short-term water consumption floating range.

[0015] As a preferred embodiment of the present invention, if the supply risk analysis coefficient exceeds the supply risk analysis coefficient threshold, a high probability scheduling signal is generated; if the supply risk analysis coefficient does not exceed the supply risk analysis coefficient threshold, a low probability scheduling signal is generated.

[0016] As a preferred embodiment of the present invention, the zoned water supply quality information and the zoned water supply risk information are respectively the maximum supply pressure deviation value at the same point in the corresponding pipeline at adjacent supply times when the same water supply volume is supplied to the zones in the water supply network and the corresponding numerical ratio of the non-increasing continuous duration of the corresponding supply pressure deviation, and the non-identical trend supply time increase span of the flow rate of the corresponding pipe section in the zone in the water supply network and the pressure difference at both ends of the pipe section.

[0017] As a preferred embodiment of the present invention, if the partitioned water supply quality information exceeds the pressure-duration numerical ratio threshold, or the partitioned water supply risk information exceeds the duration increase span threshold, the corresponding partition will be marked as a receiving scheduling area; if the partitioned water supply quality information does not exceed the pressure-duration numerical ratio threshold, and the partitioned water supply risk information does not exceed the duration increase span threshold, the corresponding partition will be marked as a separated scheduling area.

[0018] As a preferred implementation mode of the present invention, the loss constraint information and the pressure constraint information are respectively the ratio of the actual required supply volume to the water supply loss volume of the corresponding receiving scheduling area and the branch scheduling area during water supply scheduling in the water supply network, and the corresponding span values ​​of the water supply pressure floating span inside the branch scheduling area and the water supply pressure deviation span of multiple receiving scheduling areas when the branch scheduling area cooperates with multiple receiving scheduling areas at the same water supply scheduling time in the water supply network.

[0019] As a preferred embodiment of the present invention, if the loss constraint information does not exceed the water volume ratio threshold, or the pressure constraint information exceeds the pressure span and threshold, a scheduling change signal is generated; if the loss constraint information exceeds the water volume ratio threshold, and the pressure constraint information does not exceed the pressure span and threshold, a scheduling qualification signal is generated.

[0020] As a preferred embodiment of the present invention, the receiving scheduling optimization data and the separating scheduling optimization data are respectively the fixed speed rated duration deviation value before and after the fixed speed water pump in the receiving scheduling area receives the scheduled water supply during the water supply network executing the water supply scheduling, and the reduced speed span value of the variable speed range before and after the variable speed water pump in the separated scheduling area performs water supply regulation during the water supply network executing the water supply scheduling;

[0021] If the received scheduling optimization data does not exceed the duration deviation threshold, a time extension signal is generated;

[0022] If the dispatch optimization data exceeds the speed reduction span threshold, a dispatch speed reduction signal is generated;

[0023] If the received scheduling optimization data exceeds the duration deviation threshold and the separated scheduling optimization data does not exceed the speed reduction span threshold, a scheduling holding signal is generated.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. In the present invention, data analysis is performed on the historical supply periods of the water supply network, and the water supply demand in the area covered by the water supply network is inferred based on the historical supply period analysis. Based on the accurate analysis of the water supply demand, it is inferred whether the current water supply period needs to be used for supply scheduling, so as to ensure the timeliness of water supply scheduling in the area covered by the water supply network, ensure the water supply in the area covered by the water supply network, facilitate timely scheduling when water supply scheduling is needed, and ensure the supply of the real-time water supply network;

[0026] Conduct real-time supply analysis on the water supply network, and infer whether the current water supply network needs to be dispatched based on the real-time water supply network analysis, so as to improve the supply balance of the water supply network, ensure that the supply demand at each location in the network can be met, and avoid water supply abnormalities at any location that lead to a decrease in the supply efficiency of the entire water supply network.

[0027] 2. In the present invention, a scheduling constraint analysis is performed on the water supply network, and the scheduling of the water supply network is adjusted through the scheduling constraint analysis, thereby improving the supply scheduling efficiency of the water supply network, facilitating scheduling and control when the supply scheduling efficiency is abnormal, ensuring the efficient supply scheduling of the water supply network, and being able to effectively compensate for the impact of the supply deviation area of ​​the water supply network, thereby ensuring the water supply efficiency of the entire water supply network;

[0028] Conduct scheduling and supply analysis on the water supply network, and combine the scheduling and supply pump operation characteristics analysis to infer whether the current water supply network scheduling needs to be optimized, so as to improve the scheduling efficiency of the water supply network. At the same time, the scheduling efficiency can be improved while the scheduling execution is qualified, which further ensures the supply stability of the water supply network. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0030] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0033] See also Figure 1 As shown, the water supply network optimization supply scheduling system based on big data analysis includes an optimization supply scheduling platform, wherein the optimization supply scheduling platform is communicatively connected with a historical demand data analysis unit, a real-time supply scheduling unit, a scheduling constraint analysis unit, and a scheduling optimization analysis unit;

[0034] The optimized supply scheduling platform generates a historical demand data analysis signal and sends the historical demand data analysis signal to the historical demand data analysis unit. After receiving the historical demand data analysis signal, the historical demand data analysis unit performs data analysis on the historical supply period of the water supply network, and infers the water supply demand of the area covered by the water supply network based on the historical supply period analysis. Based on the accurate analysis of the water supply demand, it infers whether supply scheduling is required in the current water supply period, so as to ensure the timeliness of water supply scheduling in the area covered by the water supply network, ensure the water supply in the area covered by the water supply network, facilitate timely scheduling when water supply scheduling is needed, and ensure the supply of the real-time water supply network;

[0035] The water supply volume of each supply port of the water supply network during the historical supply period is obtained, and the preset water consumption of the user end of the covered area is collected according to the supply port; the supply port is represented by the water supply management center in the water supply network, such as the main station in any area, which controls the water use in each area; the user end is represented by the user end of the water supply network, such as the water use of institutions, individual households, etc.;

[0036] The frequency value ratio corresponding to the excess amount of the water supply valley value and the preset water consumption in the historical supply period and the frequency of the preset water consumption being higher than the water supply valley value is obtained. If the frequency value ratio corresponding to the excess amount of the water supply valley value and the preset water consumption in the historical supply period and the frequency of the preset water consumption being higher than the water supply valley value does not exceed the frequency value ratio threshold, the corresponding preset water consumption is marked as fixed water consumption at the water user end; if the frequency value ratio corresponding to the excess amount of the water supply valley value and the preset water consumption in the historical supply period and the frequency of the preset water consumption being higher than the water supply valley value exceeds the frequency value ratio threshold, the corresponding preset water consumption is marked as non-fixed water consumption at the water user end;

[0037] The water consumption at each moment in the historical supply period of the water user is compared with the fixed water consumption at the water user end, the water consumption range at each moment in the historical supply period and the fixed water consumption at the water user end are divided into ranges, and the water consumption range outside the fixed water consumption at the water user end is set as the water use floating range. According to the frequency of occurrence of values ​​within the water use floating range in the historical supply period, if the frequency of occurrence of the corresponding value exceeds the frequency threshold, the corresponding value is marked as a long-term floating value; conversely, if the frequency of occurrence of the corresponding value does not exceed the frequency threshold, the corresponding value is marked as a short-term floating value; the long-term floating value and the short-term floating value are marked as the long-term water use floating range and the short-term water use floating range respectively;

[0038] Obtain the frequency of continuous increase in the numerical deviation between the fixed water consumption at the water user end at each moment in the current supply period of the water supply network and the actual water consumption at the corresponding moment, and mark the frequency of continuous increase in the numerical deviation between the fixed water consumption at the water user end at each moment in the current supply period of the water supply network and the actual water consumption at the corresponding moment as PSK;

[0039] The increasing speed of the duration of the long-term water usage floating range peak value of the water supply at the supplied time in the current supply period of the water supply network is obtained, and the increasing span of the deviation value corresponding to the short-term water usage floating range peak value of the water supply at the supplied time in the current supply period of the water supply network is obtained, and the increasing speed of the duration of the long-term water usage floating range peak value of the water supply at the supplied time in the current supply period of the water supply network and the increasing span of the deviation value corresponding to the short-term water usage floating range peak value of the water supply at the supplied time in the current supply period of the water supply network are marked as CZS and PZK respectively;

[0040] The above collected data are uniformly marked as supply risk information, and substituted into the formula to obtain the supply risk analysis coefficient of the water supply network in the current supply period, where the formula is:

[0041] FX=PSK×wer1+CZS×wer2+PZK×wer3, where FX is the supply risk analysis coefficient, wer1, wer2, wer3 are all preset proportional coefficients, and the preset proportional coefficients are all positive integers greater than 1;

[0042] Compare the supply risk analysis factor to the supply risk analysis factor threshold:

[0043] If the supply risk analysis coefficient exceeds the supply risk analysis coefficient threshold, it is inferred that the supply risk of the water supply network during the current water supply period is high, a high scheduling probability signal is generated and the high scheduling probability signal is sent to the optimized supply scheduling platform; if the supply risk analysis coefficient does not exceed the supply risk analysis coefficient threshold, it is inferred that the supply risk of the water supply network during the current water supply period is low, a low scheduling probability signal is generated and the low scheduling probability signal is sent to the optimized supply scheduling platform;

[0044] After receiving the high probability signal for scheduling, the optimized supply scheduling platform generates a real-time supply analysis signal and sends the real-time supply analysis signal to the real-time supply scheduling unit. After receiving the real-time supply analysis signal, the real-time supply scheduling unit performs real-time supply analysis on the water supply network, and infers whether the current water supply network needs to be scheduled based on the real-time water supply network analysis, so as to improve the supply balance of the water supply network, ensure that the supply demand of each location in the network can be met, and avoid abnormal water supply at any location, which will lead to a decrease in the supply efficiency of the entire water supply network;

[0045] The water supply network is divided into several zones according to the coverage area of ​​the supply port, and the corresponding numerical ratio of the maximum supply pressure deviation value at the same point of the corresponding pipeline at adjacent supply moments and the corresponding numerical ratio of the non-increasing continuous length of time of the corresponding supply pressure deviation at adjacent supply moments when the same water supply volume is supplied in the zone within the water supply network is obtained, and the corresponding numerical ratio of the maximum supply pressure deviation value at the same point of the corresponding pipeline at adjacent supply moments and the corresponding numerical ratio of the non-increasing continuous length of time of the corresponding supply pressure deviation at adjacent supply moments when the same water supply volume is supplied in the zone within the water supply network is marked as the zone water supply quality information;

[0046] Obtain the non-identical trend supply time increase span of the flow rate of the corresponding pipe section in the water supply network and the pressure difference at both ends of the pipe section, and mark the non-identical trend supply time increase span of the flow rate of the corresponding pipe section in the water supply network and the pressure difference at both ends of the pipe section as the zone water supply risk information, where the non-identical trend supply is indicated by the deviation between the pipeline flow control and the floating of the pressure difference at both ends of the corresponding pipe section. For example, when the pipeline flow increases, the pressure difference at both ends of the pipe section changes from an increasing trend to a decreasing trend, which is a non-identical trend. This trend indicates that there is a risk in the water supply of the water supply network, such as pipeline pressure imbalance, pipeline damage, etc.;

[0047] Compare the zoned water supply quality information and zoned water supply risk information with the pressure duration value ratio threshold and duration increase span threshold respectively:

[0048] If the water supply quality information of the zone exceeds the pressure-duration value ratio threshold, or the water supply risk information of the zone exceeds the time increase span threshold, it is inferred that there is a risk in the real-time water supply of the zone in the water supply network, and the corresponding zone is marked as a receiving scheduling area; if the water supply quality information of the zone does not exceed the pressure-duration value ratio threshold, and the water supply risk information of the zone does not exceed the time increase span threshold, it is inferred that there is no risk in the real-time water supply of the zone in the water supply network, and the corresponding zone is marked as a separated scheduling area;

[0049] The receiving scheduling area and the outgoing scheduling area are sent together to the optimized supply scheduling platform. After receiving the optimized supply scheduling platform, the supply scheduling is performed according to the corresponding partition type and the location of the partition;

[0050] At the same time, a scheduling constraint analysis signal is generated and sent to the scheduling constraint analysis unit. After receiving the scheduling constraint analysis signal, the scheduling constraint analysis unit performs scheduling constraint analysis on the water supply network. The scheduling of the water supply network is adjusted through the scheduling constraint analysis, thereby improving the supply scheduling efficiency of the water supply network, facilitating scheduling and control when the supply scheduling efficiency is abnormal, ensuring efficient supply scheduling of the water supply network, and being able to effectively compensate for the impact of the supply deviation area of ​​the water supply network, thereby ensuring the water supply efficiency of the entire water supply network;

[0051] Obtain the ratio of the actual required supply volume to the water supply loss volume corresponding to the receiving scheduling area and the outgoing scheduling area during water supply scheduling in the water supply network, and mark the ratio of the actual required supply volume to the water supply loss volume corresponding to the receiving scheduling area and the outgoing scheduling area during water supply scheduling in the water supply network as loss constraint information;

[0052] When a dispatching area is separated to cooperate with multiple receiving dispatching areas at the same water supply dispatching time in the water supply network, the corresponding span values ​​of the floating span of the water supply pressure in the separated dispatching area and the water supply pressure deviation span of the multiple receiving dispatching areas are obtained, and the corresponding span values ​​of the floating span of the water supply pressure in the separated dispatching area and the water supply pressure deviation span of the multiple receiving dispatching areas are marked as pressure constraint information;

[0053] And the loss constraint information and pressure constraint information are compared with the water volume ratio threshold and pressure span and threshold respectively:

[0054] If the loss constraint information does not exceed the water volume ratio threshold, or the pressure constraint information exceeds the pressure span and threshold, it is inferred that there is an abnormality in the water supply scheduling in the water supply network, and a scheduling change signal is generated and sent to the optimized supply scheduling platform. After receiving the scheduling change signal, the optimized supply scheduling platform re-matches the receiving scheduling area and the outgoing scheduling area in the water supply network;

[0055] If the loss constraint information exceeds the water volume ratio threshold, and the pressure constraint information does not exceed the pressure span and threshold, it is inferred that the water supply scheduling in the water supply network is normal, and a scheduling qualification signal is generated and sent to the optimized supply scheduling platform;

[0056] After receiving the qualified scheduling signal, the optimized supply scheduling platform generates a scheduling optimization analysis signal and sends the scheduling optimization analysis signal to the scheduling optimization analysis unit. After receiving the scheduling optimization analysis signal, the scheduling optimization analysis unit performs scheduling supply analysis on the water supply network, and analyzes the operation characteristics of the scheduling supply water pump to infer whether the current scheduling of the water supply network needs to be optimized, so as to improve the scheduling efficiency of the water supply network. At the same time, the scheduling efficiency can be improved while the scheduling execution is qualified, which further ensures the supply stability of the water supply network.

[0057] The deviation value of the rated duration of the fixed speed before and after the fixed-speed water pump in the receiving dispatching area receives the dispatched water supply during the water supply dispatching process of the water supply network is obtained, and the reduced speed span value of the variable speed range before and after the variable speed water pump in the separated dispatching area performs water supply regulation during the water supply dispatching process of the water supply network is obtained. The deviation value of the rated duration of the fixed speed before and after the fixed-speed water pump in the receiving dispatching area receives the dispatched water supply during the water supply dispatching process of the water supply network and the reduced speed span value of the variable speed range before and after the variable speed water pump in the separated dispatching area performs water supply regulation during the water supply dispatching process of the water supply network are marked as receiving dispatching optimization data and separated dispatching optimization data, and are compared with the duration deviation threshold and the reduced speed span threshold respectively:

[0058] If the received scheduling optimization data does not exceed the duration deviation threshold, it is inferred that the water supply scheduling buffer time of the water supply network can be delayed, and a time extension signal is generated and sent to the optimized supply scheduling platform. After the optimized supply scheduling platform receives the time extension signal, when the receiving scheduling area needs to perform water supply scheduling, the waiting time is extended on the basis of the original waiting time limit, thereby improving the optimization progress and reducing the work intensity of the separated scheduling area;

[0059] If the dispatch optimization data exceeds the speed reduction span threshold, it is inferred that the dispatch water supply speed of the dispatched dispatch area in the water supply network is reduced, and a dispatch speed reduction signal is generated and sent to the optimized supply dispatch platform. After receiving the dispatch speed reduction signal, the optimized supply dispatch platform shortens the speed range of the dispatched dispatch area based on the original dispatch water supply speed, thereby reducing the impact of the original area when the water supply dispatch is carried out in the dispatched dispatch area;

[0060] If the received scheduling optimization data exceeds the duration deviation threshold, and the separated scheduling optimization data does not exceed the speed reduction span threshold, it is inferred that the water supply scheduling in the water supply network does not need to be optimized, and a scheduling hold signal is generated and sent to the optimized supply scheduling platform. After receiving the scheduling hold signal, the optimized supply scheduling platform keeps the parameters of the water supply scheduling in the water supply network constant, such as the supply speed and other parameters;

[0061] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0062] When the present invention is in use, the historical demand data analysis unit performs data analysis on the historical supply time periods of the water supply network; based on the data collection, the fixed water consumption at the water user end and the non-fixed water consumption at the water user end, the long-term floating value and the short-term floating value are obtained, the supply risk information is collected, the supply risk analysis coefficient is obtained through calculation, and the supply risk is inferred through coefficient comparison; the real-time supply scheduling unit performs real-time supply analysis on the water supply network, and infers whether there is a risk in real-time water supply based on information analysis, and performs scheduling if there is a risk; after the scheduling is executed, the scheduling constraint analysis unit performs scheduling constraint analysis on the water supply network, and infers whether the water supply scheduling is qualified based on information comparison; the scheduling optimization analysis unit performs scheduling supply analysis on the water supply network, and optimizes and controls the water supply scheduling of the water supply network through data analysis.

[0063] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The water supply network optimization supply scheduling system based on big data analysis is characterized by: It includes an optimized supply scheduling platform, wherein the optimized supply scheduling platform is communicatively connected with a historical demand data analysis unit, a real-time supply scheduling unit, a scheduling constraint analysis unit and a scheduling optimization analysis unit; The historical demand data analysis unit performs data analysis on the historical supply period of the water supply network, obtains the water supply volume of each supply port of the water supply network during the historical supply period, and collects the preset water consumption of the water user end in the covered area according to the supply port; According to the data collection, the fixed water consumption at the water user end and the non-fixed water consumption at the water user end, the long-term floating value and the short-term floating value are obtained, and the supply risk information is collected. The supply risk analysis coefficient is obtained through calculation, and the supply risk is inferred through coefficient comparison; The real-time supply dispatching unit conducts real-time supply analysis on the water supply network, divides the water supply network into several zones according to the coverage area of ​​the supply port, collects zone water supply quality information and zone water supply risk information, and infers whether there is a risk in real-time water supply based on information analysis, and dispatches if there is a risk; After the scheduling is executed, the scheduling constraint analysis unit performs scheduling constraint analysis on the water supply network, collects loss constraint information and pressure constraint information, and infers whether the water supply scheduling is qualified based on information comparison; The scheduling optimization analysis unit performs scheduling and supply analysis on the water supply network, collects and receives scheduling optimization data and separates scheduling optimization data, and optimizes and regulates the water supply scheduling of the water supply network through data analysis.

2. The water supply network optimization supply scheduling system based on big data analysis according to claim 1 is characterized in that: The frequency numerical ratio of the excess of the water supply valley value and the preset water consumption during the historical supply period and the frequency of the preset water consumption exceeding the water supply valley value is obtained. If the corresponding frequency numerical ratio does not exceed the frequency numerical ratio threshold, the corresponding preset water consumption is marked as fixed water consumption at the water use end; if the corresponding frequency numerical ratio exceeds the frequency numerical ratio threshold, the corresponding preset water consumption is marked as non-fixed water consumption at the water use end.

3. The water supply network optimization supply scheduling system based on big data analysis according to claim 2 is characterized in that: The water consumption at each moment in the historical supply period of the water user is compared with the fixed water consumption of the water user, the water consumption range at each moment in the historical supply period and the fixed water consumption of the water user are divided into ranges, and the water consumption range outside the fixed water consumption of the water user is set as the water use floating range. According to the frequency of occurrence of values ​​in the water use floating range in the historical supply period, if the frequency of occurrence of the corresponding value exceeds the frequency threshold, the corresponding value is marked as a long-term floating value; conversely, if the frequency of occurrence of the corresponding value does not exceed the frequency threshold, the corresponding value is marked as a short-term floating value; the long-term floating value and the short-term floating value are marked as the long-term water use floating range and the short-term water use floating range respectively.

4. The water supply network optimization supply scheduling system based on big data analysis according to claim 3 is characterized in that: The supply risk information includes the frequency of the continuous increase in the numerical deviation between the fixed water consumption at the water user end at each moment in the current supply period of the water supply network and the actual water consumption at the corresponding moment, the speed of increase in the continuous duration that the water supply at the supplied moment in the current supply period of the water supply network is at the peak of the long-term water consumption floating range, and the increase in the span of the corresponding deviation between the peak water supply at the supplied moment in the current supply period of the water supply network and the peak of the short-term water consumption floating range.

5. The water supply network optimization supply scheduling system based on big data analysis according to claim 4 is characterized in that: If the supply risk analysis coefficient exceeds the supply risk analysis coefficient threshold, a high probability signal for scheduling is generated; If the supply risk analysis coefficient does not exceed the supply risk analysis coefficient threshold, a scheduling low probability signal is generated.

6. The water supply network optimization supply scheduling system based on big data analysis according to claim 1 is characterized in that: The zoned water supply quality information and zoned water supply risk information are respectively the ratio of the maximum supply pressure deviation value at the same point in the corresponding pipeline at adjacent supply times when the same water supply volume is supplied to the zones within the water supply network and the corresponding supply pressure deviation non-increasing continuous duration, and the non-identical trend supply time increase span of the flow rate of the corresponding pipe section in the water supply network and the pressure difference at both ends of the pipe section.

7. The water supply network optimization supply scheduling system based on big data analysis according to claim 6 is characterized in that: If the water supply quality information of the partition exceeds the pressure duration value ratio threshold, or the water supply risk information of the partition exceeds the duration increase span threshold, the corresponding partition will be marked as a receiving dispatch area; If the water supply quality information of the zone does not exceed the pressure duration value ratio threshold, and the water supply risk information of the zone does not exceed the duration increase span threshold, the corresponding zone will be marked as a separated scheduling area.

8. The water supply network optimization supply scheduling system based on big data analysis according to claim 7 is characterized in that: The loss constraint information and pressure constraint information are respectively the ratio of the actual required supply volume to the water supply loss volume of the corresponding receiving scheduling area and the sub-scheduling area during water supply scheduling in the water supply network, and the corresponding span values ​​of the water supply pressure floating span inside the sub-scheduling area and the water supply pressure deviation span of multiple receiving scheduling areas when the sub-scheduling area cooperates with multiple receiving scheduling areas at the same water supply scheduling time in the water supply network.

9. The water supply network optimization supply scheduling system based on big data analysis according to claim 8 is characterized in that: If the loss constraint information does not exceed the water volume ratio threshold, or the pressure constraint information exceeds the pressure span and threshold, a scheduling change signal is generated; If the loss constraint information exceeds the water volume ratio threshold and the pressure constraint information does not exceed the pressure span and threshold, a scheduling qualification signal is generated.

10. The water supply network optimization supply scheduling system based on big data analysis according to claim 9 is characterized in that: The receiving dispatch optimization data and the outgoing dispatch optimization data are respectively the deviation value of the fixed speed rated duration before and after the fixed speed water pump in the receiving dispatch area receives the dispatched water supply during the water supply dispatch of the water supply network, and the reduced speed span value of the variable speed range before and after the variable speed water pump in the outgoing dispatch area performs water supply regulation during the water supply dispatch of the water supply network; If the received scheduling optimization data does not exceed the duration deviation threshold, a time extension signal is generated; If the outgoing scheduling optimization data exceeds the speed reduction span threshold, a scheduling speed reduction signal is generated; if the received scheduling optimization data exceeds the duration deviation threshold and the outgoing scheduling optimization data does not exceed the speed reduction span threshold, a scheduling hold signal is generated.

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