A remote safety management system for AC charging piles based on IoT analysis

Abstract

The present invention relates to the technical field of remote management of charging piles, and in particular to a remote safety management system for AC charging piles based on Internet of Things analysis, comprising a safety management platform, wherein a supervision end and a remote management end are arranged inside the safety management platform, wherein a server, a data acquisition unit, an impact feedback unit, an operation evaluation unit, a standby safety unit and a fusion risk unit are arranged inside the supervision end, and an early warning management unit is arranged inside the remote management end; the present invention analyzes the abnormal risks of AC charging piles in a point-to-surface manner, and analyzes in combination with external interference factors, which helps to improve the accuracy of the analysis results, and at the same time helps to improve the management effect and rationality of each AC charging pile and charging station, and analyzes through information feedback and the use of charging stations, so as to make reasonable and targeted management adjustments according to different management demand levels, so as to improve the rationality of maintenance decisions.

Description

Technical Field

[0001] The present invention relates to the technical field of remote management of charging piles, and in particular to a remote safety management system for AC charging piles based on Internet of Things analysis. Background Art

[0002] With the improvement of new energy technology, new energy vehicles are being accepted by more and more people. The number of new energy vehicles on the market is growing rapidly, and the demand for charging piles to supply electricity to new energy vehicles is also rising sharply. Among them, charging piles use conduction to provide AC power to electric vehicles with on-board charging devices. Charging piles are different from gas stations that require various supporting facilities. Charging piles only need to connect a charging pile to a power source for use;

[0003] Nowadays, many parking lots are equipped with charging piles to accommodate the increasing number of new energy vehicles. However, the existing charging pile equipment has low operation and management efficiency, and cannot conduct comprehensive supervision and early warning of each AC charging pile, thereby increasing the risk of operation failure of the AC charging pile. It is also impossible to make reasonable and targeted management adjustments based on the management needs and usage of the charging station, thereby reducing the management effect of the AC charging pile, and there is a problem of improper management.

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

[0005] The purpose of the present invention is to provide an AC charging pile remote safety management system based on Internet of Things analysis to solve the above-mentioned technical defects. The present invention analyzes the abnormal risks of AC charging piles in a point-to-surface manner, and analyzes in combination with external interference factors, which helps to improve the accuracy of the analysis results. At the same time, it helps to improve the management effect and rationality of each AC charging pile and charging station, and analyzes through information feedback and the usage of charging stations, so as to make reasonable and targeted management adjustments according to different management needs to improve the rationality of maintenance decisions.

[0006] The purpose of the present invention can be achieved by the following technical solutions: A remote safety management system for AC charging piles based on Internet of Things analysis, including a safety management platform, wherein a supervision end and a remote management end are arranged inside the safety management platform, wherein a server, a data acquisition unit, an impact feedback unit, an operation evaluation unit, a standby safety unit and a fusion risk unit are arranged inside the supervision end, and an early warning management unit is arranged inside the remote management end;

[0007] When the internal server of the supervisory end in the safety management platform generates an operation management instruction, the operation management instruction is sent to the data acquisition unit. After receiving the operation management instruction, the data acquisition unit immediately collects the interference data of the AC charging pile, the interference data includes the operation interference value and the management interference value, and sends the interference data to the impact feedback unit. After receiving the interference data, the impact feedback unit immediately performs an interference feedback evaluation operation on the interference data, and sends the obtained hindering operation evaluation coefficient Rg to the operation evaluation unit and the standby safety unit;

[0008] After receiving the hindering operation assessment coefficient Rg, the operation assessment unit immediately collects the charging risk data of the AC charging pile in the charging station, the charging risk data includes the charging characteristic value and the charging risk value, and performs charging safety supervision assessment analysis on the charging risk data, sends the obtained charging risk assessment coefficient Dg to the fusion risk unit, and sends the obtained alarm signal to the early warning management unit inside the remote management end;

[0009] After receiving the hindering operation assessment coefficient Rg, the standby safety unit immediately collects the standby risk data of the AC charging piles in the charging station, the standby risk data includes the loss abnormality value and the component performance value, and performs standby risk supervision analysis on the standby risk data, and sends the obtained warning signal to the warning management unit inside the remote management end;

[0010] After receiving the charging risk assessment coefficient Dg, the fusion risk unit immediately retrieves the standby risk assessment coefficient from the standby safety unit, and performs a data fusion risk assessment operation, and sends the obtained safety signal, risk signal, first-level management signal, second-level management signal, and third-level management signal to the early warning management unit inside the remote management end.

[0011] Preferably, the interference feedback evaluation operation process of the impact feedback unit is as follows:

[0012] S1: Set the duration of one week of the charging station as the monitoring period. During the monitoring period, draw a circle with the AC charging pile as the center and R1 as the radius. Mark the circular area around the AC charging pile as the monitoring area. Mark the AC charging pile in the charging station as g, where g is a natural number greater than zero. Obtain the operation interference value of the AC charging pile in the monitoring area during the monitoring period. The operation interference value represents the sum of the times that the value corresponding to the internal environmental data of the AC charging pile exceeds the preset threshold, and then the product value obtained after data normalization processing with the sum of the part of the value corresponding to the internal environmental data that exceeds the preset threshold. The internal environmental data is marked as the mean value of the internal environmental temperature, the mean value of the humidity, and the mean value of the dust concentration content. Compare and analyze the operation interference value with the preset operation interference value threshold. If the operation interference value is greater than the preset operation interference value threshold, the part of the operation interference value greater than the preset operation interference value threshold is marked as the operation obstruction value YZg;

[0013] S2: Obtain the management interference value of the AC charging pile in the monitoring area during the monitoring period. The management interference value represents the ratio of the operation value to the usage time of the AC charging pile, and then the product value obtained by normalizing the data with the average of the interval maintenance time. The operation value represents the total charging time of the AC charging pile, and the usage time represents the time from the time when the AC charging pile starts to be used to the current time. The management interference value is compared and analyzed with the preset management interference value threshold. If the management interference value is greater than the preset management interference value threshold, the part of the management interference value greater than the preset management interference value threshold is marked as the management shortage value GQg;

[0014] S3: According to the formula The hindering operation evaluation coefficient of each AC charging pile is obtained, wherein a1 and a2 are respectively the preset proportional factor coefficients of the operation hindering value and the management shortage value, a3 is the preset fault tolerance factor coefficient, a1, a2 and a3 are respectively positive numbers greater than zero, and Rg is the hindering operation evaluation coefficient of each AC charging pile.

[0015] Preferably, the charging safety supervision assessment and analysis process of the operation assessment unit is as follows:

[0016] T1: The duration between the start time and the end time of the AC charging pile is collected and marked as the time threshold. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The charging characteristic value of the AC charging pile in each sub-time period is obtained. The charging characteristic value represents the sum of the area enclosed by the line segment above the preset threshold curve corresponding to the charging characteristic data and the preset threshold curve. The charging characteristic data includes the abnormal sound value and the charging line temperature value. The charging characteristic value is compared and analyzed with the preset charging characteristic value threshold. If the charging characteristic value is greater than the preset charging characteristic value threshold, the ratio of the number of sub-time periods corresponding to the charging characteristic value greater than the preset charging characteristic value threshold to the total number of sub-time periods is marked as the characteristic risk value TFg;

[0017] T2: Obtain the charging risk value of the AC charging pile in each sub-time period. The charging risk value represents the product of the portion of the charging power that deviates from the preset threshold range and the number of times the charging voltage amplitude exceeds the preset amplitude threshold after data normalization processing, and then obtain the maximum and minimum values ​​of the charging risk value in the sub-time period, and mark the difference between the maximum and minimum values ​​of the charging risk value in the sub-time period as the abnormal performance value YCg;

[0018] T3: According to the formula The charging risk assessment coefficient of each AC charging pile is obtained, where f1, f2 and f3 are respectively the preset weight factor coefficients of the characteristic risk value, abnormal performance value and hindering operation assessment coefficient, f1, f2 and f3 are all positive numbers greater than zero, f4 is the preset correction factor coefficient, and the value is 1.223, and Dg is the charging risk assessment coefficient of each AC charging pile. The charging risk assessment coefficient Dg is compared and analyzed with the preset charging risk assessment coefficient threshold value stored in the internal input:

[0019] If the ratio between the charging risk assessment coefficient Dg and the preset charging risk assessment coefficient threshold is less than 1, no signal is generated;

[0020] If the ratio between the charging risk assessment coefficient Dg and the preset charging risk assessment coefficient threshold is greater than or equal to 1, an alarm signal is generated.

[0021] Preferably, the standby risk supervision analysis process of the standby safety unit is as follows:

[0022] The time between the start of standby time of the AC charging pile and the start of charging time is collected and marked as the standby time, and the loss abnormality value of the AC charging pile within the standby time is obtained. The loss abnormality value represents the length of the line segment of the standby power loss curve above the preset standby power loss curve threshold, and the product value obtained by data normalization with the acute angle formed by the first intersection of the standby power loss curve and the preset standby power loss curve threshold;

[0023] The component performance value of the AC charging pile during the standby time is obtained, and the component performance value represents the product value of the part of the reactive power of the component exceeding the preset reactive power and the component current mean after data normalization processing, and the component performance value is compared and analyzed with the preset component performance value threshold. If the component performance value is greater than the preset component performance value threshold, the part of the component performance value greater than the preset component performance value threshold is marked as the component impact value, and then the loss abnormal value, component impact value and hindering operation assessment coefficient of each standby AC charging pile are obtained after data normalization processing. The product value is marked as the standby risk assessment coefficient, and the standby risk assessment coefficient is compared and analyzed with the preset standby risk assessment coefficient threshold recorded and stored internally:

[0024] If the ratio between the standby risk assessment coefficient and the preset standby risk assessment coefficient threshold is less than 1, no signal is generated;

[0025] If the ratio between the standby risk assessment coefficient and the preset standby risk assessment coefficient threshold is greater than or equal to 1, a warning signal is generated.

[0026] Preferably, the data fusion risk assessment operation process of the fusion risk unit is as follows:

[0027] Obtain the charging risk assessment coefficient Dg and the standby risk assessment coefficient of each AC charging pile in the charging station, and label the standby risk assessment coefficient as DFg;

[0028] According to the formula The fusion risk coefficient is obtained, where v1 and v2 are the preset influencing factor coefficients of the charging risk assessment coefficient and the standby risk assessment coefficient respectively, v3 is the preset compensation factor coefficient, v1, v2 and v3 are all positive numbers greater than zero, Zg is the fusion risk coefficient, and the fusion risk coefficient Zg is compared and analyzed with the preset fusion risk coefficient threshold value stored in the internal input:

[0029] If the fusion risk coefficient Zg is less than the preset fusion risk coefficient threshold, a safety signal is generated;

[0030] If the fusion risk coefficient Zg is greater than or equal to the preset fusion risk coefficient threshold, a risk signal is generated.

[0031] Preferably, the number of AC charging piles corresponding to the safety signal in the charging site is obtained, and then the ratio of the number of AC charging piles corresponding to the safety signal in the charging site to the total number of AC charging piles in the charging site is obtained, and it is marked as a safety use value, and the charging use value of the charging site during the monitoring period is obtained. The charging use value represents the product of the average daily usage rate of the charging site and the total number of daily charging after data normalization. The ratio of the charging use value to the safety use value after data normalization is marked as a management demand value, and the management demand value is compared and analyzed with the preset management demand value interval stored in the internal input:

[0032] If the management demand value is greater than the maximum value in the preset management demand value interval, a first-level management signal is generated;

[0033] If the management demand value belongs to the preset management demand value interval, a secondary management signal is generated;

[0034] If the management requirement value is less than the minimum value in the preset management requirement value interval, a third-level management signal is generated.

[0035] The beneficial effects of the present invention are as follows:

[0036] (1) The present invention analyzes the abnormal risks of AC charging piles in a point-to-surface manner and analyzes them in combination with external interference factors, which helps to improve the accuracy of the analysis results and the management effect and rationality of each AC charging pile and charging station. It also analyzes the information feedback and the usage of the charging station so as to make reasonable and targeted management adjustments according to different management requirements to improve the rationality of maintenance decisions.

[0037] (2) The present invention analyzes from a point perspective, that is, analyzes from two points of the charging state and the standby state of the AC charging pile, and performs charging safety supervision assessment analysis and standby risk supervision analysis on the charging risk data and the standby risk data, respectively, to determine whether the abnormal risk when the AC charging pile is charging or on standby is too large, so as to timely perform early warning feedback management to improve the safety and supervision and early warning effect of the AC charging pile. The present invention analyzes from a surface perspective, that is, performs data fusion risk assessment operations to understand the overall risk situation of each AC charging pile in the charging station, so as to reasonably perform early warning management to improve the management effect of the AC charging pile. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the accompanying drawings;

[0039] Figure 1 It is a flowchart of the system of the present invention;

[0040] Figure 2 It is a local analysis diagram of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Embodiment 1:

[0043] See also Figure 1 to Figure 2 As shown, the present invention is a remote safety management system for AC charging piles based on Internet of Things analysis, including a safety management platform, wherein a supervision end and a remote management end are arranged inside the safety management platform, wherein a server, a data acquisition unit, an impact feedback unit, an operation evaluation unit, a standby safety unit and a fusion risk unit are arranged inside the supervision end, wherein an early warning management unit is arranged inside the remote management end, wherein the supervision end is bidirectionally connected to the remote management end, wherein the server is unidirectionally connected to the data acquisition unit, wherein the data acquisition unit is unidirectionally connected to the impact feedback unit, wherein the impact feedback unit is unidirectionally connected to the operation evaluation unit and the standby safety unit, wherein the operation evaluation unit and the standby safety unit are unidirectionally connected to the fusion risk unit;

[0044] When the internal server of the supervisory end in the safety management platform generates an operation management instruction, the operation management instruction is sent to the data acquisition unit. After receiving the operation management instruction, the data acquisition unit immediately collects the interference data of the AC charging pile, and the interference data includes the operation interference value and the management interference value, and sends the interference data to the impact feedback unit. After receiving the interference data, the impact feedback unit immediately performs an interference feedback evaluation operation on the interference data, so as to analyze and feedback the operation interference of the AC charging pile, improve data support for the subsequent safe operation analysis of the AC charging pile, and analyze the environment and its own impact conditions, which helps to improve the accuracy of the analysis results. The specific interference feedback evaluation operation process is as follows:

[0045] The duration of one week of the charging station is set as the monitoring period. During the monitoring period, a circle is drawn with the AC charging pile as the center and R1 as the radius. The circular area around the AC charging pile is marked as the monitoring area. The AC charging pile in the charging station is marked as g, where g is a natural number greater than zero. The operation interference value of the AC charging pile in the monitoring area during the monitoring period is obtained. The operation interference value represents the sum of the times that the value corresponding to the internal environment data of the AC charging pile exceeds the preset threshold, and then the product value obtained after data normalization processing with the sum of the part of the value corresponding to the internal environment data exceeding the preset threshold. The internal environment data is marked as the mean value of the internal environment temperature, the mean value of the humidity, the mean value of the dust concentration content, etc., and the operation interference value is compared and analyzed with the preset operation interference value threshold. If the operation interference value is greater than the preset operation interference value threshold, the part of the operation interference value greater than the preset operation interference value threshold is marked as the operation obstruction value, which is labeled as YZg. It should be noted that the larger the value of the operation obstruction value YZg, the higher the risk of abnormal operation of the AC charging pile;

[0046] The management interference value of the AC charging pile in the monitoring area during the monitoring period is obtained. The management interference value represents the ratio of the operation value to the usage time of the AC charging pile, and the product value obtained by normalizing the data with the average value of the interval maintenance time. The operation value represents the total charging time of the AC charging pile, and the usage time represents the time from the time when the AC charging pile starts to be used to the current time. The management interference value is compared and analyzed with the preset management interference value threshold. If the management interference value is greater than the preset management interference value threshold, the part of the management interference value greater than the preset management interference value threshold is marked as a management shortage value, which is labeled GQg. It should be noted that the larger the value of the management shortage value GQg is, the higher the risk of abnormal operation of the AC charging pile is.

[0047] According to the formula Obtain the hindering operation evaluation coefficient of each AC charging pile, wherein a1 and a2 are preset proportional factor coefficients of the operation hindering value and the management shortage value respectively, and the proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate, a3 is the preset fault tolerance factor coefficient, a1, a2 and a3 are respectively positive numbers greater than zero, and Rg is the hindering operation evaluation coefficient of each AC charging pile, and the hindering operation evaluation coefficient Rg is sent to the operation evaluation unit and the standby safety unit;

[0048] After receiving the hindering operation evaluation coefficient Rg, the operation evaluation unit immediately collects the charging risk data of the AC charging pile in the charging station. The charging risk data includes the charging characteristic value and the charging risk value, and performs charging safety supervision evaluation and analysis on the charging risk data to determine whether the abnormal risk of the AC charging pile during operation and charging is too large, so as to conduct early warning feedback management in a timely manner to improve the charging safety of the AC charging pile. The specific charging safety supervision evaluation and analysis process is as follows:

[0049] The duration between the start time and the end time of the AC charging pile is collected and marked as the time threshold. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The charging characteristic value of the AC charging pile in each sub-time period is obtained. The charging characteristic value represents the sum of the area enclosed by the line segment above the preset threshold curve and the preset threshold curve corresponding to the charging characteristic data. The charging characteristic data includes the abnormal sound value, the charging line temperature value, etc. The charging characteristic value is compared and analyzed with the preset charging characteristic value threshold. If the charging characteristic value is greater than the preset charging characteristic value threshold, the ratio of the number of sub-time periods corresponding to the charging characteristic value greater than the preset charging characteristic value threshold to the total number of sub-time periods is marked as the characteristic risk value TFg. It should be noted that the larger the value of the characteristic risk value TFg, the higher the risk of charging failure of the AC charging pile.

[0050] The charging risk value of the AC charging pile in each sub-time period is obtained. The charging risk value represents the product of the portion of the charging power that deviates from the preset threshold range and the number of times the charging voltage amplitude exceeds the preset amplitude threshold after data normalization processing, and then the maximum and minimum values ​​of the charging risk value in the sub-time period are obtained, and the difference between the maximum and minimum values ​​of the charging risk value in the sub-time period is marked as the abnormal performance value YCg. It should be noted that the larger the value of the abnormal performance value YCg, the higher the risk of charging failure of the AC charging pile;

[0051] According to the formula The charging risk assessment coefficient of each AC charging pile is obtained, where f1, f2 and f3 are respectively the preset weight factor coefficients of the characteristic risk value, abnormal performance value and hindering operation assessment coefficient, f1, f2 and f3 are all positive numbers greater than zero, f4 is the preset correction factor coefficient, and the value is 1.223, Dg is the charging risk assessment coefficient of each AC charging pile, and the charging risk assessment coefficient Dg is sent to the fusion risk unit, and the charging risk assessment coefficient Dg is compared and analyzed with the preset charging risk assessment coefficient threshold value stored in the internal input:

[0052] If the ratio between the charging risk assessment coefficient Dg and the preset charging risk assessment coefficient threshold is less than 1, no signal is generated;

[0053] If the ratio between the charging risk assessment coefficient Dg and the preset charging risk assessment coefficient threshold is greater than or equal to 1, an alarm signal is generated and sent to the early warning management unit inside the remote management end. After receiving the alarm signal, the early warning management unit immediately displays the AC charging pile number and site number corresponding to the alarm signal, and marks the AC charging pile number corresponding to the alarm signal as red and stops charging, thereby reminding the operation management personnel to manage and maintain the abnormal AC charging piles in a timely and accurate manner through information feedback, so as to improve the operating safety and early warning timeliness of the AC charging piles.

[0054] Embodiment 2:

[0055] After receiving the hindering operation assessment coefficient Rg, the standby safety unit immediately collects the standby risk data of the AC charging pile in the charging station. The standby risk data includes the abnormal loss value and the component performance value, and performs standby risk supervision analysis on the standby risk data to determine whether the abnormal risk of the AC charging pile is too large when it is on standby, so as to conduct early warning feedback management in time to improve the standby safety of the AC charging pile. The specific standby risk supervision analysis process is as follows:

[0056] The time between the start of standby and the start of charging of the AC charging pile is collected and marked as the standby time, and the loss abnormality of the AC charging pile within the standby time is obtained. The loss abnormality represents the length of the line segment of the standby power loss curve above the preset standby power loss curve threshold, and the product value obtained after data normalization by the acute angle formed by the first intersection of the standby power loss curve and the preset standby power loss curve threshold. It should be noted that the larger the value of the loss abnormality, the higher the risk of standby failure of the AC charging pile;

[0057] The component performance value of the AC charging pile during the standby time is obtained. The component performance value represents the product of the part of the reactive power of the component that exceeds the preset reactive power and the component current mean after data normalization processing, and the component performance value is compared and analyzed with the preset component performance value threshold. If the component performance value is greater than the preset component performance value threshold, the part of the component performance value greater than the preset component performance value threshold is marked as the component impact value. It should be noted that the larger the value of the component impact value, the higher the standby failure risk of the AC charging pile. Then, the product of the loss abnormality value, component impact value and operation obstruction assessment coefficient of each standby AC charging pile after data normalization processing is marked as the standby risk assessment coefficient, and the standby risk assessment coefficient is compared and analyzed with the preset standby risk assessment coefficient threshold stored internally:

[0058] If the ratio between the standby risk assessment coefficient and the preset standby risk assessment coefficient threshold is less than 1, no signal is generated;

[0059] If the ratio between the standby risk assessment coefficient and the preset standby risk assessment coefficient threshold is greater than or equal to 1, a warning signal is generated and sent to the warning management unit inside the remote management end. After receiving the warning signal, the warning management unit immediately displays the AC charging pile number and site number corresponding to the warning signal, and marks the AC charging pile number corresponding to the warning signal in yellow, thereby reminding the operation management personnel to manage and maintain the abnormal AC charging pile in a timely and accurate manner through information feedback, so as to improve the standby safety and warning timeliness of the AC charging pile;

[0060] After receiving the charging risk assessment coefficient Dg, the fusion risk unit immediately retrieves the standby risk assessment coefficient from the standby safety unit and performs a data fusion risk assessment operation to understand the overall risk situation of each AC charging pile in the charging station, so as to reasonably perform early warning management and improve the management effect of AC charging piles. The specific data fusion risk assessment operation process is as follows:

[0061] Obtain the charging risk assessment coefficient Dg and the standby risk assessment coefficient of each AC charging pile in the charging station, and label the standby risk assessment coefficient as DFg;

[0062] According to the formula The fusion risk coefficient is obtained, where v1 and v2 are the preset influencing factor coefficients of the charging risk assessment coefficient and the standby risk assessment coefficient respectively, v3 is the preset compensation factor coefficient, v1, v2 and v3 are all positive numbers greater than zero, Zg is the fusion risk coefficient, and the fusion risk coefficient Zg is compared and analyzed with the preset fusion risk coefficient threshold value stored in the internal input:

[0063] If the fusion risk coefficient Zg is less than the preset fusion risk coefficient threshold, a safety signal is generated;

[0064] If the fusion risk coefficient Zg is greater than or equal to the preset fusion risk coefficient threshold, a risk signal is generated, and the safety signal and risk signal are sent to the early warning management unit inside the remote management end. After receiving the safety signal and risk signal, the early warning management unit immediately displays the preset early warning text corresponding to the safety signal and risk signal on the corresponding AC charging pile display pattern, so that the remote management personnel can intuitively understand the operating status of each AC charging pile, so as to manage it reasonably and targetedly;

[0065] At the same time, the number of AC charging piles corresponding to the safety signal in the charging station is obtained, and then the ratio of the number of AC charging piles corresponding to the safety signal in the charging station to the total number of AC charging piles in the charging station is obtained, and it is marked as the safety use value, and the charging use value of the charging station during the monitoring period is obtained. The charging use value represents the product of the average daily usage rate of the charging station and the total number of daily charging after data normalization. It should be noted that the larger the value of the charging use value, the higher the management demand of the charging station, and then the ratio of the charging use value to the safety use value after data normalization is marked as the management demand value, and the management demand value is compared and analyzed with the preset management demand value interval stored in the internal entry:

[0066] If the management demand value is greater than the maximum value in the preset management demand value interval, a first-level management signal is generated;

[0067] If the management demand value belongs to the preset management demand value interval, a secondary management signal is generated;

[0068] If the management demand value is less than the minimum value in the preset management demand value interval, a three-level management signal is generated, wherein the management degrees corresponding to the first-level management signal, the second-level management signal and the third-level management signal are successively reduced, and the first-level management signal, the second-level management signal and the third-level management signal are sent to the early warning management unit inside the remote management end. After receiving the first-level management signal, the second-level management signal and the third-level management signal, the early warning management unit immediately displays the preset early warning texts corresponding to the first-level management signal, the second-level management signal and the third-level management signal, so as to make reasonable and targeted management adjustments according to different management levels, so as to improve the rationality of maintenance decisions, and analyze the usage of the charging station in combination, which is helpful to improve the management effect;

[0069] In summary, the present invention analyzes the abnormal risk of the AC charging pile in a point-to-surface manner, and analyzes it in combination with external interference factors, which is helpful to improve the accuracy of the analysis results, and at the same time helps to improve the management effect and management rationality of each AC charging pile and charging site, and makes reasonable and targeted management adjustments by means of information feedback to improve the rationality of maintenance decisions, analyzes from the point perspective, that is, analyzes from the two points of the charging state and the standby state of the AC charging pile, and performs charging safety supervision assessment analysis and standby risk supervision analysis on the charging risk data and the standby risk data respectively, so as to judge whether the abnormal risk of the AC charging pile is too large when charging or on standby, so as to timely perform early warning feedback management to improve the safety and supervision and early warning effect of the AC charging pile, and analyzes from the perspective of the surface, that is, performs data fusion risk assessment operations to understand the overall risk situation of each AC charging pile in the charging site, so as to reasonably perform early warning management to improve the management effect of the AC charging pile, and analyzes through information feedback and the usage of the charging site, so as to make reasonable and targeted management adjustments according to different management demand levels to improve the rationality of maintenance decisions.

[0070] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0071] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A remote safety management system for AC charging piles based on Internet of Things analysis, characterized in that: It includes a security management platform, which is internally provided with a supervision end and a remote management end. The supervision end is internally provided with a server, a data collection unit, an impact feedback unit, an operation evaluation unit, a standby safety unit and a fusion risk unit, and the remote management end is internally provided with an early warning management unit; When the internal server of the supervisory end in the safety management platform generates an operation management instruction, the operation management instruction is sent to the data acquisition unit. After receiving the operation management instruction, the data acquisition unit immediately collects the interference data of the AC charging pile, the interference data includes the operation interference value and the management interference value, and sends the interference data to the impact feedback unit. After receiving the interference data, the impact feedback unit immediately performs an interference feedback evaluation operation on the interference data, and sends the obtained hindering operation evaluation coefficient Rg to the operation evaluation unit and the standby safety unit; After receiving the hindering operation assessment coefficient Rg, the operation assessment unit immediately collects the charging risk data of the AC charging pile in the charging station, the charging risk data includes the charging characteristic value and the charging risk value, and performs charging safety supervision assessment analysis on the charging risk data, and sends the obtained charging risk assessment coefficient Dg to the fusion risk unit; After receiving the hindering operation assessment coefficient Rg, the standby safety unit immediately collects the standby risk data of the AC charging piles in the charging station. The standby risk data includes abnormal loss values ​​and component performance values, and performs standby risk supervision analysis on the standby risk data to obtain the standby risk assessment coefficient DFg; After receiving the charging risk assessment coefficient Dg, the fusion risk unit immediately retrieves the standby risk assessment coefficient from the standby safety unit and performs a data fusion risk assessment operation to obtain the fusion risk coefficient Zg; The interference feedback evaluation operation process of the impact feedback unit is as follows: S1: Set the duration of one week of the charging station as the monitoring period. During the monitoring period, draw a circle with the AC charging pile as the center and R1 as the radius. Mark the circular area around the AC charging pile as the monitoring area. Mark the AC charging pile in the charging station as g, where g is a natural number greater than zero. Obtain the operation interference value of the AC charging pile in the monitoring area during the monitoring period. The operation interference value represents the sum of the times that the value corresponding to the internal environmental data of the AC charging pile exceeds the preset threshold, and then the product value obtained after data normalization processing with the sum of the part of the value corresponding to the internal environmental data that exceeds the preset threshold. The internal environmental data is marked as the mean value of the internal environmental temperature, the mean value of the humidity, and the mean value of the dust concentration content. Compare and analyze the operation interference value with the preset operation interference value threshold. If the operation interference value is greater than the preset operation interference value threshold, the part of the operation interference value greater than the preset operation interference value threshold is marked as the operation obstruction value YZg; S2: Obtain the management interference value of the AC charging pile in the monitoring area during the monitoring period. The management interference value represents the ratio of the operation value to the usage time of the AC charging pile, and then the product value obtained by normalizing the data with the average of the interval maintenance time. The operation value represents the total charging time of the AC charging pile, and the usage time represents the time from the time when the AC charging pile starts to be used to the current time. The management interference value is compared and analyzed with the preset management interference value threshold. If the management interference value is greater than the preset management interference value threshold, the part of the management interference value greater than the preset management interference value threshold is marked as the management shortage value GQg; S3: According to the formula Obtain the hindered operation evaluation coefficient of each AC charging pile, wherein a1 and a2 are respectively preset proportional factor coefficients of the operation hindered value and the management shortage value, a3 is a preset fault tolerance factor coefficient, a1, a2 and a3 are respectively positive numbers greater than zero, and Rg is the hindered operation evaluation coefficient of each AC charging pile; The charging safety supervision assessment and analysis process of the operation assessment unit is as follows: T1: The duration between the start time and the end time of the AC charging pile is collected and marked as the time threshold. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The charging characteristic value of the AC charging pile in each sub-time period is obtained. The charging characteristic value represents the sum of the area enclosed by the line segment above the preset threshold curve corresponding to the charging characteristic data and the preset threshold curve. The charging characteristic data includes the abnormal sound value and the charging line temperature value. The charging characteristic value is compared and analyzed with the preset charging characteristic value threshold. If the charging characteristic value is greater than the preset charging characteristic value threshold, the ratio of the number of sub-time periods corresponding to the charging characteristic value greater than the preset charging characteristic value threshold to the total number of sub-time periods is marked as the characteristic risk value TFg; T2: Obtain the charging risk value of the AC charging pile in each sub-time period. The charging risk value represents the product of the portion of the charging power that deviates from the preset threshold range and the number of times the charging voltage amplitude exceeds the preset amplitude threshold after data normalization processing, and then obtain the maximum and minimum values ​​of the charging risk value in the sub-time period, and mark the difference between the maximum and minimum values ​​of the charging risk value in the sub-time period as the abnormal performance value YCg; T3: According to the formula The charging risk assessment coefficient of each AC charging pile is obtained, where f1, f2 and f3 are respectively the preset weight factor coefficients of the characteristic risk value, abnormal performance value and hindering operation assessment coefficient, f1, f2 and f3 are all positive numbers greater than zero, f4 is the preset correction factor coefficient, and the value is 1.223, and Dg is the charging risk assessment coefficient of each AC charging pile. The charging risk assessment coefficient Dg is compared and analyzed with the preset charging risk assessment coefficient threshold value stored in the internal input: If the ratio between the charging risk assessment coefficient Dg and the preset charging risk assessment coefficient threshold is less than 1, no signal is generated; If the ratio between the charging risk assessment coefficient Dg and the preset charging risk assessment coefficient threshold is greater than or equal to 1, an alarm signal is generated, and the obtained alarm signal is sent to the early warning management unit inside the remote management terminal; The standby risk supervision analysis process of the standby safety unit is as follows: The time between the start of standby time of the AC charging pile and the start of charging time is collected and marked as the standby time, and the loss abnormality value of the AC charging pile within the standby time is obtained. The loss abnormality value represents the length of the line segment of the standby power loss curve above the preset standby power loss curve threshold, and the product value obtained by data normalization with the acute angle formed by the first intersection of the standby power loss curve and the preset standby power loss curve threshold; The component performance value of the AC charging pile during the standby time is obtained, and the component performance value represents the product value of the part of the reactive power of the component exceeding the preset reactive power and the component current mean after data normalization processing, and the component performance value is compared and analyzed with the preset component performance value threshold. If the component performance value is greater than the preset component performance value threshold, the part of the component performance value greater than the preset component performance value threshold is marked as the component impact value, and then the loss abnormal value, component impact value and hindering operation assessment coefficient of each standby AC charging pile are obtained after data normalization processing. The product value is marked as the standby risk assessment coefficient, and the standby risk assessment coefficient is compared and analyzed with the preset standby risk assessment coefficient threshold recorded and stored internally: If the ratio between the standby risk assessment coefficient and the preset standby risk assessment coefficient threshold is less than 1, no signal is generated; If the ratio between the standby risk assessment coefficient and the preset standby risk assessment coefficient threshold is greater than or equal to 1, a warning signal is generated, and the obtained warning signal is sent to the warning management unit inside the remote management terminal; The data fusion risk assessment operation process of the fusion risk unit is as follows: Obtain the charging risk assessment coefficient Dg and the standby risk assessment coefficient of each AC charging pile in the charging station, and label the standby risk assessment coefficient as DFg; According to the formula The fusion risk coefficient is obtained, where v1 and v2 are the preset influencing factor coefficients of the charging risk assessment coefficient and the standby risk assessment coefficient respectively, v3 is the preset compensation factor coefficient, v1, v2 and v3 are all positive numbers greater than zero, Zg is the fusion risk coefficient, and the fusion risk coefficient Zg is compared and analyzed with the preset fusion risk coefficient threshold value stored in the internal input: If the fusion risk coefficient Zg is less than the preset fusion risk coefficient threshold, a safety signal is generated and the obtained safety signal is sent to the early warning management unit inside the remote management terminal; If the fusion risk coefficient Zg is greater than or equal to the preset fusion risk coefficient threshold, a risk signal is generated and the obtained risk signal is sent to the early warning management unit inside the remote management terminal; The number of AC charging piles corresponding to the safety signal in the charging station is obtained, and then the ratio of the number of AC charging piles corresponding to the safety signal in the charging station to the total number of AC charging piles in the charging station is obtained, and it is marked as the safety use value. The charging use value of the charging station during the monitoring period is obtained. The charging use value represents the product of the average daily usage rate of the charging station and the total number of daily charges after data normalization. The ratio of the charging use value to the safety use value after data normalization is marked as the management demand value, and the management demand value is compared and analyzed with the preset management demand value range stored in the internal entry: If the management demand value is greater than the maximum value in the preset management demand value interval, a first-level management signal is generated, and the obtained first-level management signal is sent to the early warning management unit inside the remote management terminal; If the management demand value belongs to the preset management demand value interval, a secondary management signal is generated, and the obtained secondary management signal is sent to the early warning management unit inside the remote management terminal; If the management demand value is less than the minimum value in the preset management demand value interval, a third-level management signal is generated, and the obtained third-level management signal is sent to the early warning management unit inside the remote management terminal.

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