Park safety intelligent control system

Abstract

The invention discloses a park safety intelligent control system, and relates to the technical field of intelligent control, the park safety intelligent control system realizes omnibearing monitoring and management of charging facilities in a park by comprehensively integrating a charging area management module, a data acquisition module, a charging and environment analysis module, an evaluation decision-making module, an early warning notification module and the like; the system can effectively identify and prevent potential safety hazards through accurate charging pile positioning, real-time data acquisition and multi-level risk assessment, ensures that current, voltage and environmental parameters in the charging process are always in a safe range, and greatly improves the operation efficiency and safety of charging facilities; in addition, the system has an intelligent emergency processing capability and an early warning function. When the risk occurs, the system can automatically take corresponding measures according to the abnormal degree, such as reducing the charging power or cutting off the power, timely notify the maintenance personnel to deal with the situation, and guide the personnel to evacuate safely if necessary.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a park safety intelligent control system. Background Art

[0002] With the popularity of electric vehicles, the number of electric vehicle charging facilities in parks has also increased rapidly, especially in residential areas, office parks, and industrial parks. The construction of electric vehicle charging piles has become an important part of the park infrastructure. However, the safety hazards brought about by the expansion of charging facilities have also attracted widespread attention, especially battery overheating, equipment failure, charging overload and other problems, which may pose a serious threat to park safety. Therefore, how to achieve intelligent management of charging safety in parks has become an important direction of current technological development.

[0003] Traditional charging management methods mainly rely on manual monitoring and regular inspections, which cannot detect and prevent sudden problems in a timely manner. The charging behavior of electric vehicles mainly relies on fixed facilities and manual monitoring, which makes it difficult to detect potential risks in a timely manner. Due to the high frequency and diversity of charging behaviors in the park, the lack of real-time monitoring and automatic management methods may lead to an increase in charging safety risks and affect the safety environment of the entire park. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a park safety intelligent control system, which solves the problems in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a park safety intelligent control system, comprising:

[0006] The park charging area module is used to obtain the specific location of one or more charging areas in the park, determine the number of charging piles in each charging area, and label each charging area and each charging pile;

[0007] The data acquisition module is used to collect the charging parameters of all charging piles in the park and the environmental parameters of all charging piles, and send them to the subsequent charging analysis module and environmental analysis module respectively;

[0008] The charging analysis module is used to obtain charging parameters, evaluate the current and voltage safety deviation values ​​and the abnormal degree of the current and voltage change rates, and finally determine the current charging risk coefficient value;

[0009] Environmental analysis module, used for environmental parameters, evaluates the safety deviation value of the acquired environmental parameters, and determines the current environmental risk factor based on the evaluation result of the safety deviation value;

[0010] The evaluation and decision-making module is used to obtain the charging risk factor and the environmental risk factor, combine the two for analysis, determine the abnormality of charging at the charging pile, and take corresponding measures according to the abnormality;

[0011] The early warning notification module is used to determine the charging area where the charging pile or charging area is located according to the number of the charging pile after the corresponding processing, and obtain the specific location of the charging area in the park, and notify the security personnel or maintenance personnel to go to the site for processing.

[0012] As a further solution of the present invention: in the park charging area module, the specific method of labeling each charging area and each charging pile is:

[0013] Each charging area is marked as ;in, It is represented by the total number of charging areas in the park;

[0014] For charging area The charging piles in ,in, ,in, The value of is determined by the total number of charging piles in the charging area and is not a fixed value.

[0015] As a further solution of the present invention: in the data acquisition module, the charging parameters include the current and voltage of the charging pile device during charging; the environmental parameters include the temperature at the charging interface and the external temperature of the battery.

[0016] As a further solution of the present invention: in the charging analysis module, the specific method of determining the current charging risk coefficient value is:

[0017] According to the number of the charging pile, determine that the charging parameters come from a specific charging pile;

[0018] Establish the expected range of current and voltage based on the historical data of charging parameters generated by the charging pile during normal charging in the past and ,in, are the expected maximum current and the expected minimum current, respectively. are the expected maximum voltage and the expected minimum voltage respectively;

[0019] Based on the charging parameter history data generated during normal charging in the past, the current and voltage data are differentiated and their rate of change is calculated. and ,in, Represents the interruption time, and Expressed as the change in current and voltage during the intermittent time;

[0020] Next, establish the expected range of current and voltage rate of change and ,in, are the expected minimum value and maximum value of the current change rate, respectively. are the expected minimum value of voltage change rate and the expected maximum value of voltage change rate respectively;

[0021] The current and voltage of a large number of normal charging processes are fitted to obtain the fitting function of the current and voltage changing with time. and :in and is the fitting function, where the starting time of t is from the moment of starting charging;

[0022] Next, the current and voltage safety deviation values ​​are evaluated using the following formula: ;

[0023]

[0024] In the formula, and is the current and voltage, and Indicates the current and voltage values ​​expected under normal circumstances, through the fitting function and to determine;

[0025] The abnormality of the rate of change is evaluated by the following formula :

[0026]

[0027] In the formula, and Expressed as the expected change in current and voltage during the intermittent time;

[0028] According to the safety deviation value and the degree of abnormality of the rate of change Determine the current charging risk factor using the following formula: :

[0029]

[0030] In the formula, and is the weight coefficient.

[0031] As a further solution of the present invention: and Indicates the current and voltage values ​​expected under normal circumstances, through the fitting function and The specific method for determination is: obtain the time from the current time to the start of charging, recorded as ,Will This specific data is substituted into the fitting function and In the and The value of

[0032] Said and The specific value of is determined by: according to the fitting function and Get specific and After obtaining the value of the previous interruption time, the expected current and voltage values ​​are obtained and recorded as and , by | - |Get , by | - |Get .

[0033] As a further solution of the present invention: In the environmental analysis module, the specific method for determining the current environmental risk coefficient is:

[0034] According to the number of the charging pile, determine that the environmental parameters come from a specific charging pile;

[0035] Establish the expected range of the charging interface temperature and the battery external temperature based on the historical data of the environmental parameters generated by the normal charging of the charging pile in the past and ,in, are the expected maximum and minimum temperatures at the charging interface, respectively. are the expected maximum value of the battery external temperature and the expected minimum value of the battery external temperature respectively;

[0036] At the same time, determine the upper and lower limits of the temperature difference between the charging interface temperature and the battery external temperature ;

[0037] Based on the historical data of environmental parameters generated during normal charging in the past, the temperature at the charging interface and the temperature outside the battery are differentiated to calculate their rate of change and ,in, Represents the interruption time, and It is expressed as the change in the temperature at the charging interface and the external temperature of the battery during the intermittent period;

[0038] Next, establish the expected range of the charging interface temperature and the battery external temperature change rate and ,in, are the expected minimum and maximum values ​​of the temperature change rate at the charging interface, respectively. are the expected minimum value of the battery external temperature change rate and the expected maximum value of the battery external temperature change rate respectively;

[0039] The safe deviation value of the temperature at the charging interface is evaluated by the following formula ;

[0040]

[0041] In the formula, The current temperature at the charging port;

[0042] The safety deviation value of the battery external temperature is evaluated by the following formula 2;

[0043]

[0044] In the formula, is the current battery external temperature;

[0045] The safety deviation value of the temperature change rate at the charging interface is evaluated by the following formula 3;

[0046]

[0047] In the formula, is the current temperature change rate at the charging interface;

[0048] The safety deviation value of the battery external temperature change rate is evaluated by the following formula 4;

[0049]

[0050] In the formula, is the current battery external temperature change rate;

[0051] The safe deviation value of the temperature difference between the temperature at the charging interface and the external temperature of the battery is evaluated by the following formula 5;

[0052]

[0053] In the formula, The temperature difference between the current charging interface temperature and the battery external temperature;

[0054] Determine the current environmental risk factor C based on C1, C2, C3, C4 and C5 using the following formula:

[0055] 5

[0056] In the formula, is the weight coefficient.

[0057] As a further solution of the present invention: in the evaluation and decision module, the corresponding processing includes reducing the charging power of the charging pile, executing power-off measures for the charging pile, and powering off the charging area where the charging pile is located.

[0058] As a further solution of the present invention: the specific method of determining the abnormality of charging of the charging pile and performing corresponding processing according to the abnormality is:

[0059] Obtain charging risk factor and environmental risk factor;

[0060] The abnormality value Q is determined by the following formula:

[0061]

[0062] In the formula, is the charging risk factor, is the environmental risk factor;

[0063] The abnormality value Q and the first level threshold , Second level threshold and the third level threshold Compare and make corresponding processing, where the first level threshold , Second level threshold and the third level threshold These are preset values.

[0064] As a further solution of the present invention: the abnormality value Q and the first level threshold , Second level threshold and the third level threshold The specific contents of the comparison and corresponding processing are as follows:

[0065] like When the charging power of the charging pile is reduced;

[0066] like When the charging pile is disconnected, the power-off measures of the charging pile are implemented;

[0067] like When the charging pile is in the charging area, the power is cut off;

[0068] No processing is done in other cases.

[0069] The present invention provides a park security intelligent control system. Compared with the prior art, it has the following beneficial effects:

[0070] The park's intelligent safety control system realizes all-round monitoring and management of charging facilities in the park by fully integrating modules such as charging area management, data collection, charging and environmental analysis, assessment decision-making, and early warning notifications. The system can effectively identify and prevent potential safety hazards through precise charging pile positioning, real-time data collection, and multi-level risk assessment, ensuring that the current, voltage, and environmental parameters during the charging process are always within a safe range, greatly improving the operating efficiency and safety of charging facilities.

[0071] In addition, the system has intelligent emergency response capabilities and early warning functions; when risks occur, the system can automatically take corresponding measures according to the degree of abnormality, such as reducing charging power or cutting off power, and promptly notify maintenance personnel for processing, and guide personnel to evacuate safely when necessary; this not only improves the system's response speed and reduces delays in manual intervention, but also provides effective protection for charging safety within the park, further improving the overall safety management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] The present invention will be further described below in conjunction with the accompanying drawings.

[0073] Figure 1 This is a structural framework diagram of a park safety intelligent control system of the present invention. DETAILED DESCRIPTION

[0074] 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.

[0075] Embodiment 1

[0076] See also Figure 1 , the present invention provides a park safety intelligent control system, including a park charging area module, a data acquisition module, a charging analysis module, an environmental analysis module, an evaluation decision module and an early warning notification module;

[0077] The park charging area module is used to obtain the specific location of one or more charging areas in the park, determine the number of charging piles in each charging area, and label each charging area and each charging pile;

[0078] The specific method of labeling each charging area and each charging pile is as follows:

[0079] Each charging area is marked as ;in, It is represented by the total number of charging areas in the park;

[0080] For charging area The charging piles in ,in, ,in, The value of is determined by the total number of charging piles in the charging area, and is not a fixed value;

[0081] It should be noted that there is one or more charging areas in the park, and the park charging area module needs to determine the specific locations of all charging areas;

[0082] The data acquisition module is used to collect the charging parameters of all charging piles in the park and the environmental parameters of all charging piles, and send them to the subsequent charging analysis module and environmental analysis module respectively;

[0083] The charging parameters include the current and voltage of the charging pile equipment during charging;

[0084] The environmental parameters include the temperature at the charging interface and the external temperature of the battery;

[0085] Specifically, in each charging pile, a variety of sensors are arranged, including a current and voltage sensor, a temperature sensor and an infrared temperature sensor; wherein the current and voltage sensor is used to detect the charging parameters of the charging pile during charging, including current and voltage; the temperature sensor is used to be installed at the charging interface for charging the car to detect the temperature at the charging interface; the infrared temperature sensor is used to be installed on the charging pile to detect the temperature outside the vehicle battery during charging;

[0086] It should be noted that the battery temperature data of electric vehicles is usually monitored and managed by the on-board battery management system (BMS); these data are processed in real time in the vehicle's internal system and are not directly open to the outside world; the data of the battery management system is generally controlled by the vehicle manufacturer and can only be accessed by specific authorized devices or systems; this is for data security and vehicle safety considerations to prevent unauthorized third-party devices from accessing the internal system of the car; charging pile suppliers or park managers may not be able to legally obtain this data if they do not cooperate with the car manufacturer; therefore, in order to compensate for these limitations, indirect temperature monitoring methods are used, such as monitoring the temperature changes of the charging pile or charging interface, using external sensors to monitor the temperature outside the vehicle, etc., combined with a variety of data analysis to indirectly judge the working status of the battery and potential safety risks;

[0087] It should be further explained that there are multiple charging piles in the charging area. When the charging piles charge the vehicles, charging parameters are generated. When the charging parameters are generated, the environmental parameters are detected;

[0088] The charging analysis module is used to obtain charging parameters, evaluate the current and voltage safety deviation values ​​and the abnormal degree of the current and voltage change rates, and finally determine the current charging risk coefficient value;

[0089] The specific method of determining the current charging risk coefficient value is:

[0090] According to the number of the charging pile, determine that the charging parameters come from a specific charging pile;

[0091] Establish the expected range of current and voltage based on the historical data of charging parameters generated by the charging pile during normal charging in the past and ,in, are the expected maximum current and the expected minimum current, respectively. are the expected maximum voltage and the expected minimum voltage respectively;

[0092] Based on the charging parameter history data generated during normal charging in the past, the current and voltage data are differentiated and their rate of change is calculated. and ,in, It is expressed as the break time. The specific break time is set by professional staff. and Expressed as the change in current and voltage during the intermittent time;

[0093] Next, establish the expected range of current and voltage rate of change and ,in, are the expected minimum value and maximum value of the current change rate, respectively. are the expected minimum value of voltage change rate and the expected maximum value of voltage change rate respectively;

[0094] The current and voltage of a large number of normal charging processes are fitted to obtain the fitting function of the current and voltage changing with time. and :in and is the fitting function, where the starting time of t is from the moment of starting charging;

[0095] Next, the current and voltage safety deviation values ​​are evaluated using the following formula: ;

[0096]

[0097] In the formula, and is the current and voltage, and Indicates the current and voltage values ​​expected under normal circumstances, through the fitting function and to determine;

[0098] Specifically, and The specific value of is determined by: obtaining the time from the current time to the start of charging, recorded as ,Will This specific data is substituted into the fitting function and In the and The value of

[0099] The abnormality of the rate of change is evaluated by the following formula :

[0100]

[0101] In the formula, and Expressed as the expected change in current and voltage during the intermittent time;

[0102] Specifically, and The specific value of is determined by: according to the fitting function and Get specific and After obtaining the value of the previous interruption time, the expected current and voltage values ​​are obtained and recorded as and , by | - |Get , by | - |Get ;

[0103] According to the safety deviation value and the degree of abnormality of the rate of change Determine the current charging risk factor using the following formula: :

[0104]

[0105] In the formula, and is the weight coefficient, which is set by professional staff;

[0106] Environmental analysis module, used for environmental parameters, evaluates the safety deviation value of the acquired environmental parameters, and determines the current environmental risk factor based on the evaluation result of the safety deviation value;

[0107] The specific method for determining the current environmental risk factor is:

[0108] According to the number of the charging pile, determine that the environmental parameters come from a specific charging pile;

[0109] Establish the expected range of the charging interface temperature and the battery external temperature based on the historical data of the environmental parameters generated by the normal charging of the charging pile in the past and ,in, are the expected maximum and minimum temperatures at the charging interface, respectively. are the expected maximum value of the battery external temperature and the expected minimum value of the battery external temperature respectively;

[0110] At the same time, determine the upper and lower limits of the temperature difference between the charging interface temperature and the battery external temperature ;

[0111] Based on the historical data of environmental parameters generated during normal charging in the past, the temperature at the charging interface and the temperature outside the battery are differentiated to calculate their rate of change and ,in, It is expressed as the break time. The specific break time is set by professional staff. and It is expressed as the change in the temperature at the charging interface and the external temperature of the battery during the intermittent period;

[0112] Next, establish the expected range of the charging interface temperature and the battery external temperature change rate and ,in, are the expected minimum and maximum values ​​of the temperature change rate at the charging interface, respectively. are the expected minimum value of the battery external temperature change rate and the expected maximum value of the battery external temperature change rate respectively;

[0113] The safe deviation value of the temperature at the charging interface is evaluated by the following formula ;

[0114]

[0115] In the formula, The current temperature at the charging port;

[0116] The safety deviation value of the battery external temperature is evaluated by the following formula 2;

[0117]

[0118] In the formula, is the current battery external temperature;

[0119] The safety deviation value of the temperature change rate at the charging interface is evaluated by the following formula 3;

[0120]

[0121] In the formula, is the current temperature change rate at the charging interface;

[0122] The safety deviation value of the battery external temperature change rate is evaluated by the following formula 4;

[0123]

[0124] In the formula, is the current battery external temperature change rate;

[0125] The safe deviation value of the temperature difference between the temperature at the charging interface and the external temperature of the battery is evaluated by the following formula 5;

[0126]

[0127] In the formula, The temperature difference between the current charging interface temperature and the battery external temperature;

[0128] Determine the current environmental risk factor C based on C1, C2, C3, C4 and C5 using the following formula:

[0129] 5

[0130] In the formula, is the weight coefficient, which is set by professional staff;

[0131] The evaluation and decision-making module is used to obtain the charging risk factor and the environmental risk factor, combine the two for analysis, determine the abnormality of charging at the charging pile, and take corresponding measures according to the abnormality;

[0132] The corresponding processing includes reducing the charging power of the charging pile, executing power-off measures for the charging pile, and powering off the charging area where the charging pile is located;

[0133] The specific method of determining the abnormality of charging of the charging pile and performing corresponding processing according to the abnormality is:

[0134] Obtain charging risk factor and environmental risk factor;

[0135] The abnormality value Q is determined by the following formula:

[0136]

[0137] In the formula, is the charging risk factor, is the environmental risk factor;

[0138] The abnormality value Q and the first level threshold , Second level threshold and the third level threshold For comparison, the first level threshold , Second level threshold and the third level threshold All are preset values;

[0139] like When the charging power of the charging pile is reduced;

[0140] like When the charging pile is disconnected, the power-off measures of the charging pile are implemented;

[0141] like When the charging pile is in the charging area, the power is cut off;

[0142] No action is taken in other cases;

[0143] The evaluation and decision-making module integrates the comprehensive evaluation of charging and environmental risks. By calculating the abnormality value Q, it can accurately determine the danger level of the current charging pile. The module provides personalized safety response measures for each charging pile, greatly improving the intelligence level of the system. It can make the best decision under different safety conditions and effectively prevent accidents. In addition, the module reduces the time delay of manual decision-making, ensures rapid response when abnormal situations occur, and significantly improves the safety and reliability of the park charging system.

[0144] The early warning notification module is used to determine the charging area where the charging pile or charging area is located according to the number of the charging pile after the corresponding processing, and obtain the specific location of the charging area in the park, and notify the security personnel or maintenance personnel to go to the site to handle it to prevent further danger. In the event of an emergency, through the voice broadcast of the charging area, guide people to evacuate quickly to a safe area to avoid crowding and trampling accidents caused by panic;

[0145] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0146] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A park safety intelligent control system, characterized in that: include: The park charging area module is used to obtain the specific location of one or more charging areas in the park, determine the number of charging piles in each charging area, and label each charging area and each charging pile; The data acquisition module is used to collect the charging parameters of all charging piles in the park and the environmental parameters of all charging piles, and send them to the subsequent charging analysis module and environmental analysis module respectively; The charging analysis module is used to obtain charging parameters, evaluate the current and voltage safety deviation values ​​and the abnormal degree of the current and voltage change rates, and finally determine the current charging risk coefficient value; Environmental analysis module, used for environmental parameters, evaluates the safety deviation value of the acquired environmental parameters, and determines the current environmental risk factor based on the evaluation result of the safety deviation value; The evaluation and decision-making module is used to obtain the charging risk factor and the environmental risk factor, combine the two for analysis, determine the abnormality of charging at the charging pile, and take corresponding measures according to the abnormality; The early warning notification module is used to determine the charging area where the charging pile or charging area is located according to the number of the charging pile after the corresponding processing, and obtain the specific location of the charging area in the park, and notify the security personnel or maintenance personnel to go to the site for processing.

2. A park safety intelligent control system according to claim 1, characterized in that: In the park charging area module, the specific method of labeling each charging area and each charging pile is: Each charging area is marked as ;in, It is represented by the total number of charging areas in the park; For charging area The charging piles in ,in, ,in, The value of is determined by the total number of charging piles in the charging area and is not a fixed value.

3. A park safety intelligent control system according to claim 1, characterized in that: In the data acquisition module, the charging parameters include the current and voltage of the charging pile device during charging; the environmental parameters include the temperature at the charging interface and the external temperature of the battery.

4. A park safety intelligent control system according to claim 1, characterized in that: In the charging analysis module, the specific method of determining the current charging risk coefficient value is: According to the number of the charging pile, determine that the charging parameters come from a specific charging pile; Establish the expected range of current and voltage based on the historical data of charging parameters generated by the charging pile during normal charging in the past and ,in, are the expected maximum current and the expected minimum current, respectively. are the expected maximum voltage and the expected minimum voltage respectively; Based on the charging parameter history data generated during normal charging in the past, the current and voltage data are differentiated and their rate of change is calculated. and ,in, Represents the interruption time, and Expressed as the change in current and voltage during the intermittent time; Next, establish the expected range of current and voltage rate of change and ,in, are the expected minimum value and maximum value of the current change rate, respectively. are the expected minimum value of voltage change rate and the expected maximum value of voltage change rate respectively; The current and voltage of a large number of normal charging processes are fitted to obtain the fitting function of the current and voltage changing with time. and :in and is the fitting function, where the starting time of t is from the moment of starting charging; Next, the current and voltage safety deviation values ​​are evaluated using the following formula: ; In the formula, and is the current and voltage, and Indicates the current and voltage values ​​expected under normal circumstances, through the fitting function and to determine; The abnormality of the rate of change is evaluated by the following formula : In the formula, and Expressed as the expected change in current and voltage during the intermittent time; According to the safety deviation value and the degree of abnormality of the rate of change Determine the current charging risk factor using the following formula: : In the formula, and is the weight coefficient.

5. A park safety intelligent control system according to claim 4, characterized in that: Said and Indicates the current and voltage values ​​expected under normal circumstances, through the fitting function and The specific method for determination is: obtain the time from the current time to the start of charging, recorded as ,Will This specific data is substituted into the fitting function and In the and The value of Said and The specific value of is determined by: according to the fitting function and Get specific and After obtaining the value of the previous interruption time, the expected current and voltage values ​​are obtained and recorded as and , by | - |Get , by | - |Get .

6. A park safety intelligent control system according to claim 1, characterized in that: In the environmental analysis module, the specific method for determining the current environmental risk factor is: According to the number of the charging pile, determine that the environmental parameters come from a specific charging pile; Establish the expected range of the charging interface temperature and the battery external temperature based on the historical data of the environmental parameters generated by the normal charging of the charging pile in the past and ,in, are the expected maximum and minimum temperatures at the charging interface, respectively. are the expected maximum value of the battery external temperature and the expected minimum value of the battery external temperature respectively; At the same time, determine the upper and lower limits of the temperature difference between the charging interface temperature and the battery external temperature ; Based on the historical data of environmental parameters generated during normal charging in the past, the temperature at the charging interface and the temperature outside the battery are differentiated to calculate their rate of change and ,in, Represents the interruption time, and It is expressed as the change in the temperature at the charging interface and the external temperature of the battery during the intermittent period; Next, establish the expected range of the charging interface temperature and the battery external temperature change rate and ,in, are the expected minimum and maximum values ​​of the temperature change rate at the charging interface, respectively. are the expected minimum value of the battery external temperature change rate and the expected maximum value of the battery external temperature change rate respectively; The safe deviation value of the temperature at the charging interface is evaluated by the following formula ; In the formula, The current temperature at the charging port; The safety deviation value of the battery external temperature is evaluated by the following formula 2; In the formula, is the current battery external temperature; The safety deviation value of the temperature change rate at the charging interface is evaluated by the following formula 3; In the formula, is the current temperature change rate at the charging interface; The safety deviation value of the battery external temperature change rate is evaluated by the following formula 4; In the formula, is the current battery external temperature change rate; The safe deviation value of the temperature difference between the temperature at the charging interface and the external temperature of the battery is evaluated by the following formula 5; In the formula, The temperature difference between the current charging interface temperature and the battery external temperature; Determine the current environmental risk factor C based on C1, C2, C3, C4 and C5 using the following formula: 5 In the formula, is the weight coefficient.

7. The park safety intelligent control system according to claim 1, characterized in that: In the evaluation and decision module, the corresponding processing includes reducing the charging power of the charging pile, executing power-off measures for the charging pile, and powering off the charging area where the charging pile is located.

8. The park safety intelligent control system according to claim 1, characterized in that: The specific method of determining the abnormality of charging of the charging pile and performing corresponding processing according to the abnormality is: Obtain charging risk factor and environmental risk factor; The abnormality value Q is determined by the following formula: In the formula, is the charging risk factor, is the environmental risk factor; The abnormality value Q and the first level threshold , Second level threshold and the third level threshold Compare and make corresponding processing, where the first level threshold , Second level threshold and the third level threshold These are preset values.

9. A park safety intelligent control system according to claim 8, characterized in that: The abnormality level value Q and the first level threshold , Second level threshold and the third level threshold The specific contents of the comparison and corresponding processing are as follows: like When the charging power of the charging pile is reduced; like When the charging pile is disconnected, the power-off measures of the charging pile are implemented; like When the charging pile is in the charging area, the power is cut off; No processing is done in other cases.

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