Charging pile intelligent management method and system based on Internet of Things

Abstract

The invention discloses a charging pile intelligent management method and system based on the Internet of Things, and relates to the technical field of charging pile intelligent management, and the method comprises the steps: sending a data reading request to an order platform of a charging pile based on the Internet of Things, and obtaining the related data of the order platform; based on the Internet of Things, the state of the charging pile is analyzed and processed, and load information of the power distribution network line is determined; and based on the Internet of Things, the charging reservation order information is analyzed and processed, and to-be-distributed charging information is acquired. Compared with the prior art, the maximum input power of the to-be-charged equipment and the output power of the charging pile are compared and judged, the charging pile matched with the maximum input power of the to-be-charged equipment can be determined, charging of the to-be-charged equipment by the charging pile with relatively low output power is avoided, the charging time of the to-be-charged equipment is shortened, and in addition, the charging efficiency of the to-be-charged equipment is improved. And the load information of the power distribution network line is analyzed, so that the damage to the power distribution network caused by overlarge load of the power distribution network line is avoided, and the service life of the power distribution network is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management of charging piles, and in particular to an intelligent management method and system for charging piles based on the Internet of Things. Background Art

[0002] A charging pile refers to a charging device that provides charging services for electric vehicles.

[0003] Charging piles are mainly divided into floor-standing charging piles and wall-mounted charging piles, which mainly adopt the charging methods of time, electricity meter and amount meter. Charging piles can be fixed on the ground or wall, installed in public buildings (public buildings, shopping malls, public parking lots, etc.) and residential parking lots or charging stations, and can charge various types of electric vehicles according to different voltage levels. The input end of the charging pile is directly connected to the AC power grid, and the output end is equipped with a charging plug for charging electric vehicles. Most charging piles are public charging piles, which generally provide two charging methods: conventional charging and fast charging. People can use a specific charging card to swipe the card on the human-computer interaction interface provided by the charging pile to perform corresponding charging methods, charging time, and cost data printing. The charging pile display can display data such as charging amount, cost, and charging time.

[0004] Due to the different models of charging equipment, the charging input power of the charging equipment will also be different, and the output power of the charging pile will also be different. Therefore, when the charging equipment selects a charging pile with a smaller output power, the charging time of the charging equipment will be extended. In addition, when multiple groups of charging piles are installed in the same distribution network, the load on the distribution network will be too large, causing damage to the distribution network. Therefore, the load of the distribution network and the input power of the charging equipment are analyzed to avoid excessive load on the distribution network and damage to the distribution network. Summary of the invention

[0005] In order to solve the above technical problems, a charging pile intelligent management method and system based on the Internet of Things are provided. This technical solution solves the problem raised in the above background technology that when the charging device selects a charging pile with a smaller output power, the charging time of the charging device will be prolonged, and the distribution network will be damaged due to the excessive load of the distribution network.

[0006] In order to achieve the above purpose, the technical solution adopted by the present invention is: An intelligent management method for charging piles based on the Internet of Things, comprising: Based on the Internet of Things, a data reading request is sent to the order platform of the charging pile to obtain relevant data of the order platform; the relevant data of the order platform includes the status of the charging pile and the charging reservation order information; wherein the status of the charging pile is any one of busy, idle and damaged; Based on the Internet of Things, the status of the charging piles is analyzed and processed to determine the load information of the distribution network lines; Based on the Internet of Things, the charging reservation order information is analyzed and processed to obtain the charging information to be allocated, wherein the charging information to be allocated is specifically the maximum input power of the device to be charged; Based on the Internet of Things, the load information of the distribution network lines and the charging information to be allocated are calculated and analyzed to determine the distribution network lines that meet the charging reservation order requirements; The Internet of Things allocates charging piles based on the charging reservation order information according to the distribution network lines that meet the charging reservation order requirements and determines the location information of the charging piles to be charged.

[0007] Preferably, the method of sending a data reading request to the order platform of the charging pile based on the Internet of Things to obtain relevant data of the order platform specifically includes the following steps: Based on the Internet of Things, send data retrieval requests to the cloud storage space to obtain the R&D documents of the order platform; Based on the Internet of Things, information retrieval is performed on the R&D documents of the order platform to obtain the network communication protocol of the order platform; The Internet of Things establishes a communication connection with the order platform through the network communication protocol of the order platform; Based on the Internet of Things, a data reading request is sent to the order platform, and the order platform sends the charging reservation order information to the Internet of Things; Based on the order platform, analyze and process the historical order information of the charging piles to determine the status of the charging piles; Based on the order platform, the status of the charging pile is sent to the Internet of Things.

[0008] Preferably, the analyzing and processing of the historical order information of the charging pile based on the order platform to determine the status of the charging pile specifically comprises the following steps: Based on the order platform, the order information of the charging information in progress is analyzed and processed to determine the location set of busy charging piles; Based on the order platform, analyze and process the historical order information of the charging piles to obtain the number of charging times of the charging piles; Based on the order platform, the charging times of the charging pile are compared and judged with the set first threshold; If the number of times the charging pile is charged is greater than or equal to the set first threshold, determining a location set of normal charging piles; If the number of times the charging pile is charged is less than a set first threshold, determining a location set of a damaged charging pile; Based on the order platform, the location set of normal charging piles and the location set of busy charging piles are intersected to determine the location set of idle charging piles; The specific calculation formula for determining the location set of idle charging piles is: ; In the formula, is a collection of locations of idle charging piles; It is the location set of normal charging piles; A collection of locations for busy charging stations.

[0009] Preferably, the analyzing and processing of the status of the charging pile based on the Internet of Things to determine the load information of the distribution network line specifically includes the following steps: Based on the Internet of Things, send data reading requests to the order platform; Based on the order platform, the connection lines of busy charging piles are classified and processed to determine the distribution network line information; Based on the order platform, data of busy charging piles is collected to obtain the output power of the busy charging piles; Based on the order platform, the output power of busy charging piles and distribution network line information are sent to the Internet of Things; The Internet of Things calculates and processes the output power of busy charging piles through the distribution network line information to determine the load information of the distribution network line; The specific calculation formula for determining the load information of the distribution network line is: ; In the formula, It is the load information of the distribution network line; is the output power of the busy charging pile; n is the number of busy charging piles.

[0010] Preferably, the method of analyzing and processing the charging reservation order information based on the Internet of Things to obtain the charging information to be allocated specifically includes the following steps: Based on the Internet of Things, the charging reservation order information is parsed and processed to obtain the model information of the device to be charged; The Internet of Things matches information to the cloud storage space based on the model information of the device to be charged, and obtains relevant data of the device to be charged; Based on the Internet of Things, the relevant data of the charging equipment is analyzed and processed to obtain the maximum input power of the device to be charged.

[0011] Preferably, the method of calculating, analyzing and processing the load information of the distribution network and the charging information to be allocated based on the Internet of Things to determine the distribution network that meets the charging reservation order requirements specifically includes the following steps: Based on the Internet of Things, the load information of the distribution network lines is compared and judged to obtain the normal distribution network lines; The Internet of Things screens and processes the normal distribution network lines according to the location set of the damaged charging piles to obtain the corrected distribution network lines; The Internet of Things matches and processes the modified distribution network lines according to the charging information to be allocated, and determines the distribution network lines that meet the requirements of the charging reservation order.

[0012] Preferably, the method of comparing and judging the load information of the distribution network lines based on the Internet of Things to obtain the normal distribution network lines specifically includes the following steps: Based on the Internet of Things, the load information of the distribution network line is compared and judged with the set second threshold value; If the load information of the distribution network line is greater than or equal to the set second threshold, the fully loaded distribution network line is output, and the charging device cannot be charged at the idle charging pile on the fully loaded distribution network line; If the load information of the distribution network line is less than the set second threshold, the normal distribution network line is output.

[0013] Preferably, the Internet of Things screens and processes normal distribution network lines according to the location set of damaged charging piles, and obtaining the corrected distribution network lines specifically includes the following steps: The Internet of Things uses the location set of busy charging piles to filter the charging piles on the normal distribution network line and obtains the location set of uncharged charging piles; The IoT performs intersection processing on the locations of uncharged charging piles through the location set of damaged charging piles to obtain the number of idle charging piles; Based on the Internet of Things, the number of idle charging piles is judged and processed; If the number of idle charging piles is zero, the normal distribution network line cannot charge the charging equipment; If the number of idle charging piles is greater than zero, the normal distribution network line can charge the charging equipment and output a corrected distribution network line.

[0014] Preferably, the Internet of Things performs matching processing on the modified distribution network line according to the charging information to be allocated, and determines the distribution network line that meets the charging reservation order requirements, specifically including the following steps: Obtain and modify the load information of the distribution network lines; Based on the Internet of Things, the load information of the modified distribution network line and the set second threshold are calculated to obtain the remaining load information; Based on the Internet of Things, the remaining load information and the charging information to be allocated are judged and processed; If the sum of the remaining load information and the charging information to be allocated is greater than or equal to the set second threshold, the modified distribution network line cannot charge the charging device; If the sum of the remaining load information and the charging information to be allocated is less than the set second threshold, the modified distribution network line can charge the charging device, and the distribution network line that meets the charging reservation order requirements is determined.

[0015] Preferably, the Internet of Things allocates charging piles to the charging reservation order information according to the distribution network lines that meet the charging reservation order requirements, and determines the location information of the charging piles to be charged, specifically including the following steps: Based on the Internet of Things, the distribution network lines that meet the charging reservation order requirements are analyzed and processed to obtain the output power of idle charging piles; Based on the Internet of Things, the output power of idle charging piles and the charging information to be allocated are judged and processed; If the output power of the idle charging pile is greater than or equal to the charging information to be allocated, the charging pile can meet the charging reservation order information, the location of the charging pile is recorded, and the location information of the charging pile to be charged is determined; If the output power of the idle charging pile is less than the charging information to be allocated, the charging pile cannot meet the charging reservation order information. Replace the idle charging pile and make a new judgment to determine the location information of the charging pile to be charged.

[0016] Furthermore, a charging pile intelligent management system based on the Internet of Things is proposed, which is used to implement the above-mentioned charging pile intelligent management method based on the Internet of Things, including: The Internet of Things, which realizes intelligent monitoring and management of charging piles by analyzing and processing relevant data of the order platform; Cloud storage space, which is used to store R&D documents of the order platform and relevant data of the device to be charged; An order platform, which is used to store charging reservation order information and historical order information of charging piles, and is used to display the status of charging piles; A data calculation module, which calculates and processes the output power of the busy charging pile according to the distribution network line information to determine the load information of the distribution network line; A data analysis module, wherein the data analysis module performs analysis and processing based on the charging reservation order information to obtain the charging information to be allocated; A comparison and judgment module is used to judge the output power of the idle charging pile and the charging information to be allocated, and determine the location information of the charging pile to be charged.

[0017] Compared with the prior art, the present invention provides a charging pile intelligent management method and system based on the Internet of Things, which has the following beneficial effects: The present invention compares and judges the maximum input power of the device to be charged and the output power of the charging pile, determines the charging pile that can match the maximum input power of the device to be charged, avoids charging the device to be charged with a charging pile with a smaller output power, and shortens the charging time of the device to be charged. In addition, it also analyzes the load information of the distribution network line, avoids excessive load on the distribution network line, causes damage to the distribution network, and increases the service life of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a flow chart of steps S100-S500 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Figure 2 This is a flow chart of steps S101-S106 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Figure 3 This is a flow chart of steps S1051-S1056 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Figure 4 This is a flow chart of steps S201-S205 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Figure 5 This is a flow chart of steps S301-S303 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Figure 6 This is a flow chart of steps S401-S403 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Figure 7 This is a flow chart of steps S4011-S4013 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Figure 8 This is a flow chart of steps S4021-S4025 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Fig. 9 This is a flow chart of steps S4031-S4035 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Fig.10 This is a flow chart of steps S501-S504 in a charging pile intelligent management method based on the Internet of Things proposed by the present invention; Fig.11 This is a structural block diagram of a charging pile intelligent management system based on the Internet of Things proposed by the present invention. DETAILED DESCRIPTION

[0019] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0020] Reference Figure 1 As shown, a charging pile intelligent management method based on the Internet of Things includes: S100, based on the Internet of Things, sending a data reading request to the order platform of the charging pile to obtain relevant data of the order platform; the relevant data of the order platform includes the status of the charging pile and the charging reservation order information; wherein the status of the charging pile is any one of busy, idle and damaged; S200, based on the Internet of Things, analyzing and processing the status of the charging pile to determine the load information of the distribution network line; S300, based on the Internet of Things, analyzing and processing the charging reservation order information to obtain the charging information to be allocated, wherein the charging information to be allocated is specifically the maximum input power of the device to be charged; S400, based on the Internet of Things, calculating, analyzing and processing the load information of the distribution network lines and the charging information to be allocated, and determining the distribution network lines that meet the charging reservation order requirements; S500, the Internet of Things allocates charging piles for the charging reservation order information according to the distribution network lines that meet the charging reservation order requirements, and determines the location information of the charging piles to be charged; Those skilled in the art can understand that charging piles are installed in blocks, and in order to meet the needs of different charging devices, charging piles with different output powers need to be installed. When too many charging piles are installed, one distribution network line may not be able to meet the charging needs of all charging piles for charging the charging devices, and when the load of the distribution network is too high, the temperature of the distribution network will increase, and excessive temperature will cause damage to the distribution network. Therefore, the charging piles that are compatible with the device to be charged are first screened out according to the input power of the device to be charged, and then the load analysis of the distribution network line where the suitable charging piles are located is performed to avoid the distribution network line from being damaged due to high temperature caused by excessive load. Therefore, the maximum input power of the device to be charged, the output power of the charging pile and the load of the distribution network line are comprehensively analyzed to select suitable distribution network lines and charging piles, which can not only shorten the charging time of the device to be charged, but also increase the service life of the distribution network line.

[0021] Reference Figure 2 As shown, based on the Internet of Things, sending a data reading request to the order platform of the charging pile and obtaining relevant data of the order platform specifically include the following steps: S101. Based on the Internet of Things, a data retrieval request is sent to the cloud storage space to obtain the R&D documents of the order platform; S102. Based on the Internet of Things, information retrieval is performed on the R&D documents of the order platform to obtain the network communication protocol of the order platform; S103, the Internet of Things establishes a communication connection with the order platform through the network communication protocol of the order platform; S104: Based on the Internet of Things, a data reading request is sent to the order platform, and the order platform sends the charging reservation order information to the Internet of Things; S105. Analyze and process historical order information of the charging pile based on the order platform to determine the status of the charging pile; S106. Based on the order platform, the status of the charging pile is sent to the Internet of Things; In this embodiment, in order to enable the order platform to respond more quickly to the status of the charging pile and the charging reservation order information, a communication connection is only established briefly between the order platform and the Internet of Things. When a suitable charging pile is selected to charge the charging device, the Internet of Things disconnects the communication connection with the order platform.

[0022] Reference Figure 3 As shown, based on the order platform, the historical order information of the charging pile is analyzed and processed to determine the status of the charging pile, which specifically includes the following steps: S1051. Analyze and process the order information of the charging in progress information based on the order platform to determine the location set of busy charging piles; S1052: Analyze and process historical order information of the charging pile based on the order platform to obtain the number of charging times of the charging pile; S1053: Based on the order platform, compare and judge the charging times of the charging pile with a set first threshold; S1054: If the number of times the charging pile is charged is greater than or equal to the set first threshold, determine a location set of normal charging piles; S1055: If the number of times the charging pile is charged is less than the set first threshold, determine a location set of the damaged charging pile; S1056. Based on the order platform, perform intersection processing on the location set of normal charging piles and the location set of busy charging piles to determine the location set of idle charging piles; The specific calculation formula for determining the location set of idle charging piles is: ; In the formula, is a collection of locations of idle charging piles; It is the location set of normal charging piles; A collection of locations for busy charging stations; In this embodiment, normal charging piles include busy charging piles and idle charging piles. Some charging piles may be damaged after long-term use and cannot be charged, but the staff may not be able to discover it in time. Therefore, the idle charging piles may include damaged charging piles and truly idle charging piles. In order to screen out damaged charging piles, the historical order information of the charging piles is analyzed. When a charging pile is damaged after completing the previous order and cannot complete the next order, the charging pile’s recently completed historical orders are analyzed to determine the location of the damaged charging pile. Then, the normal charging piles are screened by the location of the busy charging piles to obtain the location of the idle charging piles.

[0023] Reference Figure 4 As shown, based on the Internet of Things, analyzing and processing the status of the charging pile to determine the load information of the distribution network line specifically includes the following steps: S201, based on the Internet of Things, sending a data reading request to the order platform; S202: Based on the order platform, classify the connection lines of the busy charging piles and determine the distribution network line information; S203: Based on the order platform, collect data on the busy charging piles to obtain the output power of the busy charging piles; S204, based on the order platform, sending the output power of the busy charging pile and the distribution network line information to the Internet of Things; S205, the Internet of Things calculates and processes the output power of the busy charging pile through the distribution network line information to determine the load information of the distribution network line; The specific calculation formula for determining the load information of the distribution network line is: ; In the formula, It is the load information of the distribution network line; is the output power of the busy charging pile; n is the number of busy charging piles; In this embodiment, in order to reduce the load on the distribution network line, the charging piles are grouped, a certain number of charging piles are connected to a distribution network line, the output power of the busy charging piles on a distribution network line is analyzed, and the load information of the distribution network line is determined to avoid the situation where the load on the distribution network line is too high and the charging equipment continues to charge on the distribution network line, causing the temperature of the distribution network line to rise, thereby causing the distribution network line to be damaged due to high temperature, thereby improving the service life of the distribution network line.

[0024] Reference Figure 5 As shown, based on the Internet of Things, analyzing and processing the charging reservation order information, obtaining the charging information to be allocated specifically includes the following steps: S301, based on the Internet of Things, analyzing and processing the charging reservation order information to obtain the model information of the device to be charged; S302, the Internet of Things matches information with the cloud storage space according to the model information of the device to be charged, and obtains relevant data of the device to be charged; S303: Based on the Internet of Things, relevant data of the charging device is analyzed and processed to obtain the maximum input power of the device to be charged.

[0025] Reference Figure 6 As shown, based on the Internet of Things, the load information of the distribution network line and the charging information to be allocated are calculated, analyzed and processed to determine the distribution network line that meets the charging reservation order requirements, which specifically includes the following steps: S401. Based on the Internet of Things, compare and judge the load information of the distribution network lines to obtain normal distribution network lines; S402, the Internet of Things screens and processes the normal distribution network lines according to the location set of the damaged charging piles to obtain the corrected distribution network lines; S403, the Internet of Things matches and processes the modified distribution network lines according to the charging information to be allocated, and determines the distribution network lines that meet the charging reservation order requirements.

[0026] Reference Figure 7 As shown, based on the Internet of Things, the load information of the distribution network lines is compared and judged, and the acquisition of normal distribution network lines specifically includes the following steps: S4011. Based on the Internet of Things, compare and judge the load information of the distribution network line with the set second threshold value; S4012: If the load information of the distribution network line is greater than or equal to the set second threshold, the fully loaded distribution network line is output, and the device to be charged cannot be charged at an idle charging pile on the fully loaded distribution network line; S4013: If the load information of the distribution network line is less than the set second threshold, output a normal distribution network line.

[0027] Reference Figure 8 As shown, the Internet of Things screens and processes the normal distribution network lines according to the location set of the damaged charging piles, and obtains the corrected distribution network lines, which specifically includes the following steps: S4021. The Internet of Things screens the charging piles on the normal distribution network line through the location set of busy charging piles to obtain the location set of uncharged charging piles; S4022, the Internet of Things performs intersection processing on the location set of uncharged charging piles through the location set of damaged charging piles to obtain the number of idle charging piles; S4023. Based on the Internet of Things, determine the number of idle charging piles; S4024. If the number of idle charging piles is zero, the normal distribution network line cannot charge the charging device; S4025. If the number of idle charging piles is greater than zero, the normal distribution network line can charge the charging equipment, and the distribution network line is corrected; In this embodiment, when there are too many devices to be charged with too high input power, and the number of charging piles compatible with them in the distribution network is insufficient, it is impossible to meet the needs of all devices to be charged. Therefore, those charging piles that do not meet the standards are replaced. Therefore, when the number of charging piles remains unchanged, the load of the distribution network becomes higher. Therefore, when the load of the distribution network reaches the set value, even if there are still idle charging piles in the distribution network, the devices to be charged cannot be charged. Or, when the load of the distribution network does not reach the set value, but there are too many damaged charging piles on the distribution network, and there are no normal charging piles except the busy charging piles, the devices to be charged cannot be charged.

[0028] Reference Fig. 9 As shown, the Internet of Things matches and processes the modified distribution network lines according to the charging information to be allocated, and determines the distribution network lines that meet the charging reservation order requirements, which specifically include the following steps: S4031, obtaining load information of the modified distribution network line; It is worth noting that the load information of the modified distribution network line is included in the load information of the distribution network line; S4032, based on the Internet of Things, performing a difference calculation between the load information of the modified distribution network line and the set second threshold value to obtain the remaining load information; S4033. Based on the Internet of Things, the remaining load information and the charging information to be allocated are judged and processed; S4034: If the sum of the remaining load information and the charging information to be allocated is greater than or equal to the set second threshold, the modified distribution network line cannot charge the charging device; S4035: If the sum of the remaining load information and the charging information to be allocated is less than the set second threshold, the modified distribution network line can charge the charging device, and the distribution network line that meets the charging reservation order requirements is determined; In this embodiment, when the load of the distribution network line does not reach the set value, but the remaining load of the distribution network line cannot meet the charging information to be allocated, the distribution network line is corrected and analyzed to select the distribution network line that can meet the charging reservation order requirements.

[0029] Reference Fig.10 As shown, the Internet of Things allocates charging piles to the charging reservation order information according to the distribution network lines that meet the charging reservation order requirements, and determines the location information of the charging piles to be charged, which specifically includes the following steps: S501. Based on the Internet of Things, the distribution network lines that meet the charging reservation order requirements are analyzed and processed to obtain the output power of the idle charging piles; S502: Based on the Internet of Things, the output power of the idle charging piles and the charging information to be allocated are judged and processed; S503: If the output power of the idle charging pile is greater than or equal to the charging information to be allocated, the charging pile can meet the charging reservation order information, record the location of the charging pile, and determine the location information of the charging pile to be charged; S504: If the output power of the idle charging pile is less than the charging information to be allocated, the charging pile cannot meet the charging reservation order information, and the idle charging pile is replaced and re-judged to determine the location information of the charging pile to be charged; In this embodiment, in order to shorten the charging time of the device to be charged, the charging piles are screened according to the maximum input power of the device to be charged to obtain the charging piles that are compatible with the device to be charged. Then, the location of the charging pile is recorded, and the order platform sends the location of the charging pile to the user, thereby avoiding the user's search time.

[0030] Reference Fig.11 As shown, an intelligent management system for charging piles based on the Internet of Things is used to implement the above-mentioned intelligent management method for charging piles based on the Internet of Things, including: The Internet of Things, which realizes intelligent monitoring and management of charging piles by analyzing and processing relevant data of the order platform; Cloud storage space, which is used to store R&D documents of the order platform and relevant data of the device to be charged; An order platform, which is used to store charging reservation order information and historical order information of charging piles, and is used to display the status of charging piles; A data calculation module, which calculates and processes the output power of the busy charging pile according to the distribution network line information to determine the load information of the distribution network line; A data analysis module, wherein the data analysis module performs analysis and processing based on the charging reservation order information to obtain the charging information to be allocated; A comparison and judgment module is used to judge the output power of the idle charging pile and the charging information to be allocated, and determine the location information of the charging pile to be charged.

[0031] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A charging pile intelligent management method based on the Internet of Things, characterized in that: include: Based on the Internet of Things, a data reading request is sent to the order platform of the charging pile to obtain relevant data of the order platform; The relevant data of the order platform includes the status of the charging pile and the charging reservation order information; wherein the status of the charging pile is any one of busy, idle and damaged; Based on the Internet of Things, the status of the charging piles is analyzed and processed to determine the load information of the distribution network lines; Based on the Internet of Things, the charging reservation order information is analyzed and processed to obtain the charging information to be allocated, wherein the charging information to be allocated is specifically the maximum input power of the device to be charged; Based on the Internet of Things, the load information of the distribution network lines and the charging information to be allocated are calculated and analyzed to determine the distribution network lines that meet the charging reservation order requirements; The Internet of Things allocates charging piles based on the charging reservation order information according to the distribution network lines that meet the charging reservation order requirements and determines the location information of the charging piles to be charged.

2. According to the method of intelligent management of charging piles based on the Internet of Things in claim 1, it is characterized in that: The method of sending a data reading request to the order platform of the charging pile based on the Internet of Things to obtain relevant data of the order platform specifically includes the following steps: Based on the Internet of Things, send data retrieval requests to the cloud storage space to obtain the R&D documents of the order platform; Based on the Internet of Things, information retrieval is performed on the R&D documents of the order platform to obtain the network communication protocol of the order platform; The Internet of Things establishes a communication connection with the order platform through the network communication protocol of the order platform; Based on the Internet of Things, a data reading request is sent to the order platform, and the order platform sends the charging reservation order information to the Internet of Things; Based on the order platform, analyze and process the historical order information of the charging piles to determine the status of the charging piles; Based on the order platform, the status of the charging pile is sent to the Internet of Things.

3. The method for intelligent management of charging piles based on the Internet of Things according to claim 2 is characterized in that: The analysis and processing of the historical order information of the charging pile based on the order platform to determine the status of the charging pile specifically includes the following steps: Based on the order platform, the order information of the charging information in progress is analyzed and processed to determine the location set of busy charging piles; Based on the order platform, analyze and process the historical order information of the charging piles to obtain the number of charging times of the charging piles; Based on the order platform, the charging times of the charging pile are compared and judged with the set first threshold; If the number of times the charging pile is charged is greater than or equal to the set first threshold, determining a location set of normal charging piles; If the number of times the charging pile is charged is less than a set first threshold, determining a location set of a damaged charging pile; Based on the order platform, the location set of normal charging piles and the location set of busy charging piles are intersected to determine the location set of idle charging piles; The specific calculation formula for determining the location set of idle charging piles is: ; In the formula, is the location set of idle charging piles; It is the location set of normal charging piles; A collection of locations for busy charging stations.

4. The method for intelligent management of charging piles based on the Internet of Things according to claim 1, characterized in that: The method of analyzing and processing the status of the charging pile based on the Internet of Things to determine the load information of the distribution network line specifically includes the following steps: Based on the Internet of Things, send data reading requests to the order platform; Based on the order platform, the connection lines of busy charging piles are classified and processed to determine the distribution network line information; Based on the order platform, data is collected on busy charging piles to obtain the output power of the busy charging piles; Based on the order platform, the output power of busy charging piles and distribution network line information are sent to the Internet of Things; The Internet of Things calculates and processes the output power of busy charging piles through the distribution network line information to determine the load information of the distribution network line; The specific calculation formula for determining the load information of the distribution network line is: ; In the formula, It is the load information of the distribution network line; is the output power of the busy charging pile; n is the number of busy charging piles.

5. The method for intelligent management of charging piles based on the Internet of Things according to claim 1, characterized in that: The method of analyzing and processing the charging reservation order information based on the Internet of Things to obtain the charging information to be allocated specifically includes the following steps: Based on the Internet of Things, the charging reservation order information is parsed and processed to obtain the model information of the device to be charged; The Internet of Things matches information to the cloud storage space based on the model information of the device to be charged, and obtains relevant data of the device to be charged; Based on the Internet of Things, the relevant data of the charging equipment is analyzed and processed to obtain the maximum input power of the device to be charged.

6. The method for intelligent management of charging piles based on the Internet of Things according to claim 1, characterized in that: The method of calculating, analyzing and processing the load information of the distribution network and the charging information to be allocated based on the Internet of Things to determine the distribution network that meets the charging reservation order requirements specifically includes the following steps: Based on the Internet of Things, the load information of the distribution network lines is compared and judged to obtain the normal distribution network lines; The method of comparing and judging the load information of the distribution network lines based on the Internet of Things to obtain the normal distribution network lines specifically includes the following steps: Based on the Internet of Things, the load information of the distribution network line is compared and judged with the set second threshold value; If the load information of the distribution network line is greater than or equal to the set second threshold, the fully loaded distribution network line is output, and the charging device cannot be charged at the idle charging pile on the fully loaded distribution network line; If the load information of the distribution network line is less than the set second threshold, output a normal distribution network line; The Internet of Things screens and processes the normal distribution network lines according to the location set of the damaged charging piles to obtain the corrected distribution network lines; The Internet of Things matches and processes the modified distribution network lines according to the charging information to be allocated, and determines the distribution network lines that meet the requirements of the charging reservation order.

7. The method for intelligent management of charging piles based on the Internet of Things according to claim 6, characterized in that: The Internet of Things screens and processes the normal distribution network lines according to the location set of the damaged charging piles, and obtains the corrected distribution network lines, which specifically includes the following steps: The Internet of Things uses the location set of busy charging piles to filter the charging piles on the normal distribution network line and obtains the location set of uncharged charging piles; The Internet of Things performs intersection processing on the location set of the damaged charging piles and the location set of the uncharged charging piles to obtain the number of idle charging piles; Based on the Internet of Things, the number of idle charging piles is judged and processed; If the number of idle charging piles is zero, the normal distribution network line cannot charge the charging equipment; If the number of idle charging piles is greater than zero, the normal distribution network line can charge the charging equipment and output a corrected distribution network line.

8. The method for intelligent management of charging piles based on the Internet of Things according to claim 6, characterized in that: The Internet of Things performs matching processing on the modified distribution network line according to the charging information to be allocated, and determines the distribution network line that meets the charging reservation order requirements, specifically including the following steps: Obtain and modify the load information of the distribution network lines; Based on the Internet of Things, the load information of the modified distribution network line and the set second threshold are calculated to obtain the remaining load information; Based on the Internet of Things, the remaining load information and the charging information to be allocated are judged and processed; If the sum of the remaining load information and the charging information to be allocated is greater than or equal to the set second threshold, the modified distribution network line cannot charge the charging device; If the sum of the remaining load information and the charging information to be allocated is less than the set second threshold, the modified distribution network line can charge the charging device, and the distribution network line that meets the charging reservation order requirements is determined.

9. The method for intelligent management of charging piles based on the Internet of Things according to claim 1, characterized in that: The Internet of Things allocates charging piles to the charging reservation order information according to the distribution network lines that meet the charging reservation order requirements, and determines the location information of the charging piles to be charged, specifically including the following steps: Based on the Internet of Things, the distribution network lines that meet the charging reservation order requirements are analyzed and processed to obtain the output power of idle charging piles; Based on the Internet of Things, the output power of idle charging piles and the charging information to be allocated are judged and processed; If the output power of the idle charging pile is greater than or equal to the charging information to be allocated, the charging pile can meet the charging reservation order information, the location of the charging pile is recorded, and the location information of the charging pile to be charged is determined; If the output power of the idle charging pile is less than the charging information to be allocated, the charging pile cannot meet the charging reservation order information. Replace the idle charging pile and make a new judgment to determine the location information of the charging pile to be charged.

10. An intelligent management system for charging piles based on the Internet of Things, used to implement an intelligent management method for charging piles based on the Internet of Things as claimed in any one of claims 1 to 9, characterized in that: include: The Internet of Things, which realizes intelligent monitoring and management of charging piles by analyzing and processing relevant data of the order platform; Cloud storage space, which is used to store R&D documents of the order platform and relevant data of the device to be charged; An order platform, which is used to store charging reservation order information and historical order information of charging piles, and is used to display the status of charging piles; A data calculation module, which calculates and processes the output power of the busy charging pile according to the distribution network line information to determine the load information of the distribution network line; A data analysis module, wherein the data analysis module performs analysis and processing based on the charging reservation order information to obtain the charging information to be allocated; A comparison and judgment module is used to judge the output power of the idle charging pile and the charging information to be allocated, and determine the location information of the charging pile to be charged.

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