A method and system for urban resource control based on a smart city

Through the resource monitoring, supply management and allocation module of the smart city resource management and control system, the supply paths of energy base stations and main stations are optimized, the resource transportation conflicts in resource-scarce areas are solved, and efficient energy supply and stability are achieved.

CN114819658BActive Publication Date: 2025-07-22NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Application Number
CN202210470190.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-04-28
Publication Date
2025-07-22
Estimated Expiration
2042-04-28

AI Technical Summary

Technical Problem

In the prior art, resource-deficient areas request resource transportation from areas with sufficient remaining resources may conflict in resource transportation requests, resulting in the inability to resolve resource shortage in the short term.

Method used

The urban resource management and control system based on smart cities is adopted, including resource monitoring modules, energy supply management modules, energy distribution modules and control and transportation modules. By monitoring energy reserves and consumption rates in real time, analyzing and formulating energy supply plans and emergency supply plans, the supply paths of energy base stations and main stations are optimized to avoid resource transportation conflicts.

Benefits of technology

It improves resource supply efficiency, avoids long-term resource shortages of energy base stations, ensures the stability of subsequent supply of energy base stations, and solves the short-term supply problem in resource-scarce areas by optimizing the supply path.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses an urban resource control method and system based on a smart city, including a resource monitoring module, an energy supply management module, an energy distribution module, and a control and transportation module. The resource monitoring module monitors the energy storage percentage and energy consumption rate of energy bases. The energy supply management module conducts data analysis on the monitored data and formulates an energy supply plan. The energy distribution module conducts data analysis based on a secondary energy shortage signal to screen out an energy emergency supply chain and obtains an energy emergency supply plan through data processing. The control and transportation module controls the corresponding energy base or energy terminal to conduct energy supply and transportation. The present invention sets up an energy distribution module, avoiding the problem of energy shortage caused by conflicts between energy supply and energy transportation in the energy bases for energy supply, and supplying energy to the energy bases for energy supply, ensuring the stability of subsequent energy supply in the energy bases.
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Description

Technical Field

[0001] The present invention relates to the technical field of smart cities, and specifically designs an urban resource control method and system based on smart cities. Background Art

[0002] With the development of the new generation of information infrastructure, the implementation of various applications provides support for promoting the construction and development of smart cities. In terms of urban resource supply, the resource transportation and supply between regions play a relatively important role. In the case of resource shortages in local areas, it is usually necessary to replenish resources from the resource main station or transport resources by contacting other regions, and the resource transportation and contact processes consume a lot of time.

[0003] To solve the above problems, there is currently a resource sharing platform provided by smart cities, which realizes resource replenishment and transportation between regions by recording the remaining amount of resources in real time, sending resource transportation requests to regions with sufficient remaining resources or the resource main station, and transporting resources from regions with sufficient resources and the resource main station to resource-scarce regions. The resource sharing platform updates resource changes in a timely manner. However, in the prior art, there are situations where abnormal consumption occurs in resource-scarce regions, and resource transportation request conflicts may occur when requesting resource transportation from surrounding regions with sufficient remaining resources, resulting in the inability of resource-scarce regions to obtain resource supply in a short time and easily causing resource shortages in regions that supply multiple resources.

[0004] Therefore, the prior art has the following problems: Resource transportation request conflicts may occur when a resource-scarce region requests resource transportation from surrounding regions with sufficient remaining resources, resulting in the inability to solve the short-term resource shortage problem. Summary of the Invention

[0005] For this reason, the present invention provides an urban resource control method and system based on smart cities, which effectively solves the problem in the prior art that resource transportation request conflicts may occur when a resource-scarce region requests resource transportation from surrounding regions with sufficient remaining resources, resulting in the inability to solve the short-term resource shortage problem.

[0006] To solve the above technical problems, the present invention specifically provides the following technical solutions: An urban resource control system based on smart cities, comprising:

[0007] A resource monitoring module, which is set at the energy base station and the energy main station. The resource monitoring module has a data storage library, and the resource monitoring module is used to monitor the energy storage percentage and energy consumption rate of the energy base station and store the monitoring data in the data storage library;

[0008] The energy supply management module is communicatively connected to the resource monitoring module. The energy supply management module analyzes and processes the monitoring data of the resource monitoring module, formulates an energy supply plan in the case where the data processing result is a first-level energy shortage, and transmits a second-level energy shortage signal to the energy distribution module in the case where the data processing result is a second-level energy shortage;

[0009] The energy distribution module is communicatively connected to the energy supply management module and the resource monitoring module. Based on the received second-level energy shortage signal, the energy distribution module obtains the monitoring data of the corresponding energy base station and its surrounding area and the implementation situation of the energy supply plan stored in the data repository, analyzes and screens the above data to select the optimal supply energy base station and the secondary supply energy base station group that supplies energy to the optimal supply energy base station. The secondary supply energy base station group consists of multiple secondary supply energy base stations. The secondary supply energy base station at the end transports energy to the optimal supply energy base station, and other secondary supply energy base stations transport energy to the upper-level secondary supply energy base station. The optimal supply energy base station and the secondary supply energy base station group form an energy emergency supply chain. The energy distribution module processes according to the energy emergency supply chain and the real-time energy storage percentage of the energy base station with a second-level energy shortage to obtain an energy emergency supply plan;

[0010] The control and transportation module is communicatively connected to the energy supply management module and the energy distribution module. The control and transportation module receives the energy supply plan sent by the energy supply management module, and controls the corresponding energy base station or the energy terminal to supply energy to the energy base station with a first-level energy shortage according to the energy supply plan, and receives the energy emergency supply plan sent by the energy distribution module, and controls the energy emergency supply chain to supply and transport energy according to the energy emergency supply plan.

[0011] As a preferred solution of the present invention, the resource monitoring module includes an energy quantity monitoring unit and an energy rate monitoring unit provided at each energy base station;

[0012] The energy quantity monitoring unit is used to monitor the real-time energy storage percentage of the energy base station, and the energy rate monitoring unit is used to monitor the real-time energy consumption rate of the energy base station.

[0013] As a preferred solution of the present invention, the energy supply management module includes a data processing unit and a data analysis unit;

[0014] The data processing unit is used to judge the real-time energy storage percentage and the real-time energy consumption rate of the energy base station, and the judgment results include normal, primary energy shortage, and secondary energy shortage. The data analysis unit analyzes the real-time energy storage percentage of the energy base stations around the energy base station with a primary energy shortage based on the primary energy shortage situation and obtains the energy supply plan.

[0015] As a preferred solution of the present invention, the data processing unit stores an energy storage percentage threshold and an energy consumption rate threshold. The data processing unit compares the real-time energy storage percentage with the energy storage percentage threshold and compares the real-time energy consumption rate with the energy consumption rate threshold, and determines that the situation where the real-time energy storage percentage is lower than the lowest value of the energy storage percentage threshold is abnormal, and determines that the situation where the real-time energy consumption rate is higher than the energy consumption rate threshold is abnormal;

[0016] The data processing unit determines that the situation where the real-time energy storage percentage is judged to be abnormal and the real-time energy consumption rate is judged to be normal is a primary energy shortage, and determines that the situation where the real-time energy storage percentage is judged to be abnormal and the real-time energy consumption rate is judged to be abnormal is a secondary energy shortage;

[0017] Among them, the highest value and the lowest value of the energy storage percentage threshold are 20% and 90% respectively, and the energy consumption rate threshold is d.

[0018] As a preferred solution of the present invention, when the data processing unit determines that the real-time energy storage percentage is higher than 90%, it sends a stop transportation signal to the control transportation module, and the control transportation module suspends the energy transportation to the energy base station with a primary energy shortage or a secondary energy shortage according to the stop transportation signal.

[0019] As a preferred solution of the present invention, the data analysis unit stores an energy base station coordinate system, and landmarks corresponding to each energy base station are drawn in the energy base station coordinate system. Based on the primary energy shortage situation, the data analysis unit calculates the distance between the energy base station with a primary energy shortage and the surrounding energy base stations one by one, obtains the real-time energy storage percentage and the real-time energy consumption rate of the energy base stations within 5 km of the corresponding energy base station, and screens out the energy base station with a normal real-time energy consumption rate and the highest real-time energy storage percentage. The data analysis unit marks the screened energy base station as the energy base station in the transportation time area.

[0020] The data analysis unit is preset with a preset energy storage percentage of the energy base stations with a primary energy shortage. The data analysis unit calculates the time length of the transportation progress time area by statistically analyzing the energy transportation speed, the preset energy storage percentage, and the real-time energy storage percentage.

[0021] As a preferred solution of the present invention, the energy distribution module includes a primary screening unit, a secondary screening unit, and a solution analysis unit;

[0022] The primary screening unit successively calculates the distances between the energy base stations in the secondary energy shortage state and the surrounding energy base stations according to the energy base station coordinate system, sorts the surrounding energy base stations according to the distance values to form an optimal supply energy base station sorting table, and successively analyzes according to the optimal supply energy base station sorting table until the energy base stations within the transportation stagnation time area and with an energy storage percentage higher than 60% are screened out, and marks them as optimal supply energy base stations.

[0023] As a preferred solution of the present invention, the secondary screening unit successively calculates the distances between the optimal supply energy base stations and the surrounding energy base stations according to the energy base station coordinate system, sorts the surrounding energy base stations according to the distance values to form a secondary supply energy base station sorting table, and successively analyzes according to the secondary supply energy base station sorting table until the energy base stations within the transportation stagnation time area and with an energy storage percentage higher than 60% are screened out, and marks them as secondary supply energy base stations;

[0024] The secondary screening unit repeats the operation until the secondary supply energy base stations with a distance not exceeding 5 km from the energy main station are screened out.

[0025] As a preferred solution of the present invention, the solution analysis unit is used to analyze and obtain the energy emergency supply solution according to the screening results of the primary screening unit and the secondary screening unit;

[0026] The solution analysis unit calculates the median value of the energy storage of the optimal supply energy base station and the energy base station with a secondary energy shortage, calculates the difference between the median value of the energy storage and the energy storage of the optimal supply energy base station, and sets the difference as the supply amount of the optimal supply energy base station to supply energy to the energy base station with a secondary energy shortage. According to the supply amount and the energy transportation rate between the optimal supply energy base station and the energy base station with a secondary energy shortage, the energy supply time is calculated;

[0027] Both the optimal supply energy base station and the secondary supply energy base station supply energy to the upper-level energy base station according to the supply quantity and the energy supply time, and the energy general station replenishes energy to the secondary supply energy base station at the end according to the supply quantity and the energy supply time.

[0028] As a preferred embodiment of the present invention, a resource management method for an urban resource control system based on a smart city includes the following steps:

[0029] Step 100, the resource monitoring module monitors the energy storage percentage and energy consumption rate of the energy base station in real time, stores and transmits them;

[0030] Step 200, the energy supply management module processes and analyzes the energy storage percentage and energy consumption rate of the energy base station, and formulates an energy supply plan according to the data processing result or transmits a secondary energy shortage signal to the energy distribution module;

[0031] Step 300, the control transportation module receives the energy supply plan, and controls the corresponding energy base station or energy general station to supply energy to the energy base station with a primary energy shortage according to the energy supply plan;

[0032] Step 400, the energy distribution module, based on the secondary energy shortage signal, conducts data analysis and successive screening on the energy base stations to obtain an energy emergency supply chain, and calculates an energy emergency supply plan;

[0033] Step 500, the control transportation module receives the energy emergency supply plan, and controls the energy emergency supply chain and the energy general station to supply and replenish energy according to the energy emergency supply plan.

[0034] The present invention has the following beneficial effects compared with the prior art:

[0035] (1) The present invention sets up an energy supply management module to analyze and process the monitoring data of the energy base station, and formulates an energy supply plan in the case of a primary energy shortage, so that the corresponding energy base station or energy general station can supply energy to the energy base station with a primary energy shortage and at a normal energy consumption rate in a timely manner, avoiding long-term resource shortage of the energy base station with energy shortage, and improving the resource supply efficiency;

[0036] (2) The present invention sets up an energy distribution module to successively screen to obtain an energy emergency supply chain to supply energy to the energy with a secondary energy shortage in a short time, avoiding the same energy base station from transporting energy to multiple energy base stations with energy shortage, avoiding the problem of energy shortage caused by the conflict between the energy base station for energy supply and energy transportation, and supplying energy to the energy base station for energy supply, ensuring the stability of the subsequent energy supply of the energy base station. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary, and for those of ordinary skill in the art, without creative efforts, other implementation drawings can be obtained according to the provided drawings.

[0038] Figure 1 FIG. is a structural block diagram of an urban resource control system based on a smart city provided in an embodiment of the present invention;

[0039] Figure 2 FIG. is a schematic diagram of the coordinate system of an energy base station in an embodiment of the present invention;

[0040] Figure 3 FIG. is a schematic diagram of the optimal supply energy base station ranking table in an embodiment of the present invention;

[0041] Figure 4 FIG. is a schematic diagram of the secondary supply energy base station ranking table in an embodiment of the present invention;

[0042] Figure 5 FIG. is a flowchart of a resource control method for an urban resource control system based on a smart city provided in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0044] Such as Figure 1As shown, the present invention provides an urban resource control method and system based on a smart city. An energy supply management module is set up to analyze and process the monitoring data of energy stations, and formulate an energy supply plan in the case of primary energy shortage, so that the corresponding energy station or energy terminal can timely supply energy to the energy stations with primary energy shortage and normal energy consumption rate, avoiding long-term resource shortage of energy stations with energy shortage and improving the resource supply efficiency. In addition, an energy distribution module is set up to sequentially screen and supply energy to the energy stations with secondary energy shortage in a short time through the resource emergency supply chain, avoiding the same energy station from transporting energy to multiple energy stations with energy shortage, avoiding the problem of energy shortage caused by the conflict between energy supply and energy transportation of the energy stations for energy supply, and supplying energy to the energy stations for energy supply, ensuring the stability of the subsequent energy supply of the energy stations.

[0045] The present invention mainly includes a resource monitoring module, an energy supply management module, an energy distribution module and a control transportation module. Among them, the resource monitoring module is set in the energy stations and energy terminals. The resource monitoring module has a data storage library and is used to monitor the energy storage percentage and energy consumption rate of the energy stations and store the monitoring data in the data storage library.

[0046] In addition, an energy supply plan is obtained through analysis by the energy supply management module, and an energy emergency supply plan is obtained through analysis by the energy distribution module. The energy supply plan in this embodiment is carried out in the case of primary energy shortage, and the energy emergency supply plan is carried out in the case of secondary energy shortage. The two plans do not conflict, and the energy supply plan is pre-set in the system. That is to say, when the energy consumption rate of adjacent energy stations remains stable, the energy supply plan will always be adopted. The energy emergency supply plan is carried out in case of emergencies, generally when the energy consumption rate of the energy station suddenly increases and the energy storage percentage reaches a certain threshold.

[0047] The present invention is communicatively connected to the energy supply management module and the energy distribution module through the control transportation module. The control transportation module receives the energy supply plan sent by the energy supply management module and controls the corresponding energy station or energy terminal to supply energy to the energy stations with primary energy shortage according to the energy supply plan, and receives the energy emergency supply plan sent by the energy distribution module and controls the energy emergency supply chain to supply and transport energy according to the energy emergency supply plan. The main contents of the energy emergency supply plan and the energy supply plan are the supply quantity and supply speed. The control transportation module controls the energy station or energy terminal to supply energy at a certain supply quantity and supply speed according to the above plan.

[0048] The resource monitoring module of the present invention monitors the energy base stations in real time. The resource monitoring module includes an energy quantity monitoring unit and an energy rate monitoring unit provided in each energy base station; the energy quantity monitoring unit is used to monitor the real-time energy storage percentage of the energy base station, and the energy rate monitoring unit is used to monitor the real-time energy consumption rate of the energy base station. The monitored real-time energy storage percentage and real-time energy consumption rate are transmitted to the data repository for storage and are also transmitted to the energy supply management module in real time.

[0049] The energy supply management module in the present invention is communicatively connected to the resource monitoring module, and analyzes the real-time energy storage percentage and real-time energy consumption rate of the energy base station. When the data processing result indicates a first-level energy shortage, an energy supply plan is customized. When the data processing result indicates a second-level energy shortage, a second-level energy shortage signal is transmitted to the energy distribution module.

[0050] To achieve the above two purposes of data analysis and customization of the energy supply plan, the energy supply management module mainly adopts the following preferred embodiments. The energy supply management module includes a data processing unit and a data analysis unit.

[0051] Among them, the data processing unit is used to judge the real-time energy storage percentage and real-time energy consumption rate of the energy base station, and the judgment results include normal, first-level energy shortage, and second-level energy shortage. The data analysis unit analyzes the real-time energy storage percentage of the energy base stations around the energy base station where the first-level energy shortage occurs based on the first-level energy shortage situation and analyzes and obtains an energy supply plan.

[0052] To judge the real-time energy storage percentage and real-time energy consumption rate, an energy storage percentage threshold and an energy consumption rate threshold are stored in the data processing unit. The data processing unit compares the real-time energy storage percentage with the energy storage percentage threshold, and compares the real-time energy consumption rate with the energy consumption rate threshold. And it judges that the situation where the real-time energy storage percentage is lower than the lowest value of the energy storage percentage threshold is abnormal, and the situation where the real-time energy consumption rate is higher than the energy consumption rate threshold is abnormal.

[0053] The data processing unit determines that the situation where the real-time energy storage percentage is judged to be abnormal and the real-time energy consumption rate is judged to be normal is a first-level energy shortage, and the situation where the real-time energy storage percentage is judged to be abnormal and the real-time energy consumption rate is judged to be abnormal is a second-level energy shortage; among them, the highest value and the lowest value of the energy storage percentage threshold are 20% and 90% respectively, and the energy consumption rate threshold is d.

[0054] In the above embodiments, the data processing unit determines that the situation where the real-time energy storage percentage is lower than 20% and the real-time energy consumption rate is less than the energy consumption rate threshold d is a first-level energy shortage, and determines that the situation where the real-time energy storage percentage is lower than 20% and the real-time energy consumption rate is higher than d is a second-level energy shortage. In the actual application process, the energy storage percentage threshold can be changed according to the actual situation, and the energy consumption rate threshold d is determined according to the actual situation.

[0055] In addition, when in the energy supply process, when the real-time energy storage percentage of the energy base station reaches a certain value, the energy supply needs to be stopped. The data processing unit sends a stop transportation signal to the control transportation module when it determines that the real-time energy storage percentage is higher than 90%. The control transportation module suspends the energy transportation to the energy base stations with first-level or second-level energy shortages according to the stop transportation signal. This situation is applicable when supplying energy to the energy base stations that supply energy to the energy base stations with first-level energy shortages. The value of 90% can be determined according to the specific situation. In order not to affect the implementation of the subsequent energy supply plan, the transportation will also be stopped when the real-time energy storage percentage of the energy base station reaches the energy storage percentage under normal consumption conditions.

[0056] In order to formulate a corresponding energy supply plan, the present invention provides a data analysis unit. The data analysis unit stores an energy base station coordinate system (as Figure 2 shown). Each energy base station has a corresponding landmark drawn in the energy base station coordinate system. Based on the first-level energy shortage situation, the data analysis unit calculates the distances between the energy base stations with first-level energy shortage situations and the surrounding energy base stations one by one, obtains the real-time energy storage percentage and real-time energy consumption rate of the energy base stations within 5 km of the corresponding energy base stations, and screens out the energy base stations with normal real-time energy consumption rate and the highest real-time energy storage percentage. The data analysis unit marks the screened energy base stations as the energy base stations within the transportation time area.

[0057] In the above embodiments, the screened energy base stations are the energy base stations with the highest real-time energy storage percentage within 5 km of the energy base stations with first-level energy shortage situations. In the present invention, it is default that the total storage capacity of the energy base stations is the same. Since the energy storage percentages of the nearby energy base stations are generally low, additional restrictions can also be imposed on the energy base stations for energy supply: the real-time energy storage percentage reaches more than 60% and the energy base station is the closest to the energy base station with first-level energy shortage within 10 km.

[0058] Since it is impossible for the energy base station that supplies energy to directly increase the energy reserve percentage of the energy base station with an energy shortage to 90%, a preset energy reserve percentage of the energy base station with a first-level energy shortage is preset in the data analysis unit. In the actual application process, the energy reserve percentage of the energy base station with a first-level energy shortage can be directly increased to this preset energy reserve percentage. Then, through the energy main station, the energy base station with a first-level energy shortage is increased to 90%. The data analysis unit calculates the time length of the transportation progress time area by statistically analyzing the energy transportation speed, the preset energy reserve percentage, and the real-time energy reserve percentage. During the energy supply process, this energy base station is always in the transportation progress time area, and the energy base station with a first-level energy shortage is defaulted to always be in the transportation progress time area during the energy reception process. However, the time length of the corresponding transportation progress time area is different from that of the energy base station that supplies energy.

[0059] The energy distribution module of the present invention mainly processes the energy shortage supply plan according to the secondary energy shortage signal. The energy distribution module is communicatively connected to the energy supply management module and the resource monitoring module. Based on the received secondary energy shortage signal, the energy distribution module obtains the monitoring data of the corresponding energy base station and the energy base stations in its surrounding area stored in the data storage repository and the implementation situation of the energy supply plan, and analyzes and screens the above data to select the optimal energy supply energy base station and the secondary supply energy base station group that supplies energy to the optimal energy supply energy base station. The secondary supply energy base station group consists of multiple secondary supply energy base stations. The secondary supply energy base station at the end transports energy for the optimal energy supply energy base station, and other secondary supply energy base stations transport energy for the upper-level secondary supply energy base station. The optimal energy supply energy base station and the secondary supply energy base station group form an energy emergency supply chain. The energy distribution module processes the energy emergency supply plan according to the energy emergency supply chain and the real-time energy reserve percentage of the energy base station with a secondary energy shortage.

[0060] The energy distribution module of the present invention mainly adopts the following preferred embodiments. The energy distribution module includes a primary screening unit, a secondary screening unit, and a plan analysis unit.

[0061] Among them, the primary screening unit successively calculates the distances between the energy base stations in the secondary energy shortage state and the surrounding energy base stations according to the energy base station coordinate system, and sorts the surrounding energy base stations according to the distance values to form an optimal energy supply energy base station sorting table. And according to the optimal energy supply energy base station sorting table (as Figure 3 shown), it is successively analyzed until the energy base stations within the transportation stagnation time area and with an energy reserve percentage higher than 60% are selected and marked as the optimal energy supply energy base stations.

[0062] Suppose that the energy base stations around the energy base station in the secondary energy shortage state are Energy Base Station 1, Energy Base Station 2, and Energy Base Station 3. Sorted by distance, they are Energy Base Station 1, Energy Base Station 3, and Energy Base Station 2. Through the energy supply management module, it can be obtained that Energy Base Station 1 is in the transportation progress time area, so it cannot be the optimal supply energy base station. Energy Base Station 3 is in the transportation stagnation time area, but the energy reserve percentage does not meet the requirement of 60%, so it cannot be the optimal supply energy base station either. Energy Base Station 2 is both in the transportation stagnation time area and its energy reserve percentage is higher than 60%. Therefore, Energy Base Station 2 is the optimal supply energy base station for the energy base station in the secondary energy shortage state.

[0063] The secondary screening unit is mainly used to screen multiple secondary supply energy base stations. The secondary screening unit successively calculates the distances between the optimal supply energy base station and the surrounding energy base stations according to the energy base station coordinate system, and sorts the surrounding energy base stations according to the distance values to form a secondary supply energy base station sorting table (as Figure 4 shown), and successively analyzes according to the secondary supply energy base station sorting table until the energy base stations in the transportation stagnation time area and with an energy reserve percentage higher than 60% are screened out and marked as secondary supply energy base stations; the secondary screening unit repeats the work until the secondary supply energy base stations within a distance of no more than 5 km from the energy main station are screened out.

[0064] Suppose that the energy base stations around the optimal supply energy base station are Energy Base Station 4, Energy Base Station 5, and Energy Base Station 6. Sorted by distance, they are Energy Base Station 5, Energy Base Station 4, and Energy Base Station 6. Since both Energy Base Station 5 and Energy Base Station 4 do not meet the conditions, it is analyzed that Energy Base Station 6 is the secondary supply energy base station. Then, the secondary supply energy base stations at the next level of the secondary supply energy base station 6 are screened in the same way as above until the found secondary supply energy base station is within 5 km of the energy main station. The optimal supply energy base station and the secondary supply energy base station group screened in the above embodiment are gradually approaching the energy main station.

[0065] In this embodiment, the scheme analysis unit is used to analyze and obtain the energy emergency supply scheme according to the screening results of the primary screening unit and the secondary screening unit. The scheme analysis unit calculates the intermediate value of the energy reserves between the optimal supply energy base station and the energy base station in the secondary energy shortage situation, calculates the difference between the intermediate value of the energy reserves and the energy reserves of the optimal supply energy base station, and sets the difference as the supply volume for the optimal supply energy base station to supply energy to the energy base station in the secondary energy shortage situation. According to the supply volume and the energy transportation rate between the optimal supply energy base station and the energy base station in the secondary energy shortage situation, the energy supply time is calculated.

[0066] Assume that the energy storage percentage of the optimal supply energy base station is 75%, and the energy storage percentage of the energy base station in the energy shortage situation is 20%. Then the calculated intermediate value is 47.5%, and the difference is 27.5%. So the supply amount is 27.5%. According to the supply amount and the energy transportation rate between the optimal supply energy base station and the energy base station with the secondary energy shortage situation, the energy supply time is calculated. The optimal supply energy base station and the secondary supply energy base station both supply energy to the upper-level energy base station according to the supply amount (27.5%) and the energy supply time. The energy main station replenishes energy to the secondary supply energy base station at the end according to the supply amount (27.5%) and the energy supply time. After completing the energy supply to the energy base station with the secondary energy shortage situation and replenishing the energy to the energy emergency supply chain, the energy storage percentage of the energy base station with the secondary energy shortage situation reaches 47.5%. At this time, the energy main station continues to supply energy to this energy base station until 90%, and the energy replenishment to the energy emergency supply chain is suspended. During this process, it is ensured that the overall energy storage percentage of the energy base stations in the energy emergency supply chain remains unchanged except for normal consumption, ensuring that the energy base stations are not affected during the subsequent implementation of the energy supply plan.

[0067] As Figure 5 shown, a resource control method for a city resource control system based on a smart city provided by the present invention includes the following steps:

[0068] Step 100, the resource monitoring module monitors the energy storage percentage and energy consumption rate of the energy base station in real time, stores and transmits them;

[0069] Step 200, the energy supply management module processes and analyzes the energy storage percentage and energy consumption rate of the energy base station, and formulates an energy supply plan according to the data processing result or transmits a secondary energy shortage signal to the energy distribution module;

[0070] Step 300, the control transportation module receives the energy supply plan, and controls the corresponding energy base station or energy main station to supply energy to the corresponding energy base station with the primary energy shortage according to the energy supply plan;

[0071] Step 400, the energy distribution module, based on the secondary energy shortage signal, conducts data analysis and successive screening on the energy base stations to obtain an energy emergency supply chain, and calculates an energy emergency supply plan;

[0072] Step 500, the control transportation module receives the energy emergency supply plan, and controls the energy emergency supply chain and the energy main station to conduct energy supply and replenishment according to the energy emergency supply plan.

[0073] The above embodiments are only exemplary embodiments of the present application and are not used to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art can make various modifications or equivalent replacements within the essence and protection scope of the present application, and such modifications or equivalent replacements should also be regarded as falling within the protection scope of the present application.

Claims

1. An urban resource control system based on a smart city, characterized in that, Including: A resource monitoring module, which is set in the energy base station and the energy general station. The resource monitoring module has a data repository, and is used to monitor the energy reserve percentage and the energy consumption rate of the energy base station, and store the monitoring data in the data repository; An energy supply management module, which is communicatively connected to the resource monitoring module. The energy supply management module analyzes and processes the monitoring data of the resource monitoring module, formulates an energy supply plan in the case where the data processing result is a first-level energy shortage, and transmits a second-level energy shortage signal to the energy distribution module in the case where the data processing result is a second-level energy shortage; An energy distribution module, which is communicatively connected to the energy supply management module and the resource monitoring module. Based on the received second-level energy shortage signal, the energy distribution module obtains the monitoring data of the corresponding energy base station in the data repository and the implementation situation of the energy supply plan in the area around the energy base station, and analyzes and screens the above data to select the optimal energy supply energy base station and a secondary supply energy base station group that supplies energy to the optimal supply energy base station. The secondary supply energy base station group consists of multiple secondary supply energy base stations. The secondary supply energy base station at the end transports energy to the optimal supply energy base station, and other secondary supply energy base stations transport energy to the upper-level secondary supply energy base station. The optimal supply energy base station and the secondary supply energy base station group form an energy emergency supply chain. The energy distribution module processes according to the energy emergency supply chain and the real-time energy reserve percentage of the energy base station with a second-level energy shortage to obtain an energy emergency supply plan; A control transportation module, which is communicatively connected to the energy supply management module and the energy distribution module. The control transportation module receives the energy supply plan sent by the energy supply management module, and controls the corresponding energy base station or the energy general station to supply energy to the energy base station with a first-level energy shortage according to the energy supply plan, and receives the energy emergency supply plan sent by the energy distribution module, and controls the energy emergency supply chain to supply and transport energy according to the energy emergency supply plan; The energy supply management module includes a data processing unit and a data analysis unit; The data processing unit determines that the situation where the real-time energy reserve percentage is judged to be abnormal and the real-time energy consumption rate is judged to be normal is a first-level energy shortage, and determines that the situation where the real-time energy reserve percentage is judged to be abnormal and the real-time energy consumption rate is judged to be abnormal is a second-level energy shortage; The energy distribution module includes a primary screening unit, a secondary screening unit and a plan analysis unit; The primary screening unit successively calculates the distances between the energy base stations in the secondary energy shortage state and the surrounding energy base stations according to the energy base station coordinate system, sorts the surrounding energy base stations according to the distance values to form an optimal supply energy base station sorting table, and successively analyzes according to the optimal supply energy base station sorting table until the energy base stations within the transportation stagnation time area and with an energy storage percentage higher than 60% are screened out and marked as optimal supply energy base stations; The secondary screening unit successively calculates the distances between the optimal supply energy base stations and the surrounding energy base stations according to the energy base station coordinate system, sorts the surrounding energy base stations according to the distance values to form a secondary supply energy base station sorting table, and successively analyzes according to the secondary supply energy base station sorting table until the energy base stations within the transportation stagnation time area and with an energy storage percentage higher than 60% are screened out and marked as secondary supply energy base stations; The secondary screening unit repeats the operation until the secondary supply energy base stations with a distance not exceeding 5 km from the energy main station are screened out; The selected optimal supply energy base stations and the secondary supply energy base station group gradually approach the energy main station.

2. The urban resource control system based on a smart city according to claim 1, characterized in that, The resource monitoring module includes an energy quantity monitoring unit and an energy rate monitoring unit provided at each energy base station; The energy quantity monitoring unit is used to monitor the real-time energy storage percentage of the energy base station, and the energy rate monitoring unit is used to monitor the real-time energy consumption rate of the energy base station.

3. The urban resource control system based on a smart city according to claim 2, wherein The data processing unit is used to judge the real-time energy storage percentage and the real-time energy consumption rate of the energy base station, and the judgment results include normal, primary energy shortage and secondary energy shortage. The data analysis unit analyzes the real-time energy storage percentage of the surrounding energy base stations of the energy base stations in the primary energy shortage situation based on the primary energy shortage situation and obtains the energy supply plan.

4. The urban resource control system based on a smart city according to claim 3, wherein, The data processing unit stores an energy storage percentage threshold and an energy consumption rate threshold. The data processing unit compares the real-time energy storage percentage with the energy storage percentage threshold and compares the real-time energy consumption rate with the energy consumption rate threshold, and judges the situation where the real-time energy storage percentage is lower than the lowest value of the energy storage percentage threshold as abnormal and judges the situation where the real-time energy consumption rate is higher than the energy consumption rate threshold as abnormal; Among them, the highest value and the lowest value of the energy storage percentage threshold are 20% and 90% respectively, and the energy consumption rate threshold is d.

5. The urban resource control system based on a smart city according to claim 4, characterized in that, When the data processing unit judges that the real-time energy storage percentage is higher than 90%, it sends a stop transportation signal to the control transportation module, and the control transportation module suspends the energy transportation to the energy base stations in the primary energy shortage or secondary energy shortage according to the stop transportation signal.

6. The urban resource control system based on a smart city according to claim 5, characterized in that, The data analysis unit stores an energy base station coordinate system, in which landmarks corresponding to each energy base station are drawn. Based on the primary energy shortage situation, the data analysis unit calculates the distances between the energy base stations with the primary energy shortage situation and the surrounding energy base stations one by one, obtains the real-time energy storage percentage and the real-time energy consumption rate of the energy base stations within 5 km of the corresponding energy base stations, and filters out the energy base stations with the real-time energy consumption rate determined to be normal and the highest real-time energy storage percentage. The data analysis unit marks the filtered energy base stations as the energy base stations within the transportation time area. The data analysis unit presets a preset energy storage percentage for the energy base stations with the primary energy shortage. The data analysis unit calculates the time length of the transportation time area by statistically analyzing the energy transportation speed, the preset energy storage percentage, and the real-time energy storage percentage.

7. The urban resource control system based on a smart city according to claim 6, wherein, The solution analysis unit is used to analyze and obtain the energy emergency supply solution according to the screening results of the primary screening unit and the secondary screening unit. The solution analysis unit calculates the median value of the energy storage of the optimal supply energy base station and the energy base station with the secondary energy shortage situation, calculates the difference between the median value of the energy storage and the energy storage of the optimal supply energy base station, and sets the difference as the supply volume of the optimal supply energy base station to supply energy to the energy base station with the secondary energy shortage situation. According to the supply volume and the energy transportation rate between the optimal supply energy base station and the energy base station with the secondary energy shortage situation, the energy supply time is calculated. Both the optimal supply energy base station and the secondary supply energy base station supply energy to the upper-level energy base station according to the supply volume and the energy supply time, and the energy general station replenishes energy to the terminal secondary supply energy base station according to the supply volume and the energy supply time.

8. A resource control method for the urban resource control system based on a smart city according to any one of claims 1 to 7, characterized in that, It includes the following steps: Step 100, the resource monitoring module monitors the energy storage percentage and energy consumption rate of the energy base stations in real time, stores and transmits them. Step 200, the energy supply management module processes and analyzes the energy storage percentage and energy consumption rate of the energy base stations, and formulates an energy supply plan according to the data processing results or transmits a secondary energy shortage signal to the energy distribution module. Step 300, the control transportation module receives the energy supply plan, and controls the corresponding energy base station or energy general station to supply energy to the energy base stations with the primary energy shortage according to the energy supply plan. Step 400, the energy distribution module conducts data analysis on the energy base stations based on the secondary energy shortage signal, screens them one by one, obtains the energy emergency supply chain, and calculates the energy emergency supply solution. Step 500, the control transportation module receives the energy emergency supply solution, and controls the energy emergency supply chain and the energy general station to supply and replenish energy according to the energy emergency supply solution.

Citation Information

Patent Citations

  • Power grid dispatching management system and management control method

    CN113572172A