Computer data security monitoring system and method based on blockchain and big data

Abstract

The application discloses a computer data security monitoring system and method based on a blockchain and big data, and belongs to the technical field of computer data security monitoring. The system comprises a blockchain traceability module, a temperature detection and analysis module, a temperature comparison and judgment module, a temperature early warning module and a pushing module; the output end of the blockchain traceability module is connected with the input end of the temperature detection module; the output end of the temperature detection and analysis module is connected with the input end of the temperature comparison and judgment module; the output end of the temperature comparison and judgment module is connected with the input end of the temperature early warning module; the output end of the temperature early warning module is connected with the input end of the pushing module; and the output end of the pushing module is connected with the input end of a management port. The application is used for detecting the heating problem of an electric vehicle charger, can prompt the temperature change in the charging process, makes an early warning, prevents a fire from occurring, and protects the safety of people's lives and property.

Description

Technical Field

[0001] The present invention relates to the technical field of computer data security monitoring, and specifically to a computer data security monitoring system and method based on blockchain and big data. Background Art

[0002] With the development of social economy, urban traffic problems are increasing, among which the charging problem of electric bicycles is closely related to our lives. However, people are paying less and less attention to these charging problems, especially in some residential areas where the charging environment is relatively unsatisfactory. Therefore, a large number of electric bicycles must be charged in the open air, which has led to some heating problems with electric bicycle chargers. On sunny days, the sunlight is particularly strong. As the outdoor temperature rises, the temperature of the electric bicycle charger will also rise accordingly. However, because of this situation, safety problems of electric bicycles are frequent. Chargers often explode due to excessive charging temperatures. This situation not only affects the battery life, but can even be serious enough to endanger people's lives and property. Summary of the Invention

[0003] The purpose of the present invention is to provide a computer data security monitoring system and method based on blockchain and big data to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0005] A computer data security monitoring system and method based on blockchain and big data, the method comprising the following steps:

[0006] S1. Build a computer data security monitoring platform to monitor electric vehicle data, including charging time data and charger temperature data;

[0007] S2. Construct an electric vehicle charging area s, obtain the initial time when the electric vehicle charger starts charging, construct a charging temperature value prediction model when the charger is not exposed to sunlight, and calculate the charger temperature value when the charger is not exposed to sunlight;

[0008] S3. Obtain the initial moment when the electric vehicle charger is exposed to sunlight during the charging process and the end moment when the charger is continuously exposed to sunlight until charging is completed, obtain the shadow area of ​​the charger caused by sunlight, calculate the temperature value that causes the temperature to rise when the central area is exposed to sunlight, construct a charging temperature value prediction model when the charger is continuously exposed to sunlight, and calculate the charger temperature value when the charger is continuously exposed to sunlight;

[0009] S4, set the maximum temperature reference value of the charger, upload the monitoring data to the blockchain traceability module, judge whether the temperature value that the charger can reach during charging exceeds the maximum temperature reference value of the charger, if the temperature value that the charger can reach exceeds the maximum temperature reference value of the charger, the temperature warning module will give a warning, reminding the user to pay attention to the temperature during charging, at the same time stopping charging and pushing some documents of electric safety.

[0010] Construct a charging temperature value prediction model of the charger not being irradiated by sunlight:

[0011] S2-1, establish a mathematical model, collect the historical data of the electric vehicle charger charging, including the time when the electric vehicle charger is not irradiated by sunlight and the temperature value reached by the charger in this time period, set these data as (x i , y i ), i = 1, 2, 3…, n, wherein x i is the initial temperature when the electric vehicle charger starts charging, y i is the maximum temperature value reached by the electric vehicle charger when it is not irradiated by sunlight during charging;

[0012] S2-2, set the fitting curve of the charging temperature value of the charger not being irradiated by sunlight y = kx + b; let the fitting value , according to the definition condition of sample points and fitting curve , the following can be obtained Wherein k is the curve coefficient, b is the error term, is the predicted value of the curve coefficient, is the predicted value of the error term, is the maximum temperature prediction value reached by the electric vehicle charger when it is not irradiated by sunlight during charging; y is the charging temperature value prediction value of the charger not being irradiated by sunlight;

[0013] S2-3, set L needs to be minimized, wherein L is the residual sum of squares;

[0014] S2-4, the fitting curve

[0015]

[0016] Wherein x i is the initial temperature of the electric vehicle charger when it starts charging without being irradiated by sunlight, y i is the maximum temperature value reached by the electric vehicle charger when it is not irradiated by sunlight during charging.

[0017] In the charging process of the electric vehicle, the temperature rises with the charging time when it is not irradiated by sunlight, but the temperature change is nonlinear, so the fitting curve is needed to better calculate the temperature value after the temperature rises.

[0018] The initial time of the electric vehicle charger when it is irradiated by sunlight during the charging process is t2, the end time when the sunlight irradiation is completed is t3, and the shadow area generated by the sunlight irradiation to the charger is S0;

[0019] The area S1 of the charger continuously irradiated by sunlight is:

[0020] S1=(ab+ac+bc)*2-S0

[0021] Wherein, a is the length of the charger; b is the width of the charger; c is the height of the charger;

[0022] Calculate the temperature value caused by temperature rise under the condition of irradiation to the center area:

[0023] T1=T0+a1*S1

[0024] Wherein, T1 is the temperature value caused by temperature rise under different irradiation area conditions; a1 is the weight of the temperature rise caused by continuous irradiation to the center area; T0 is the temperature rise of the charger edge position under continuous irradiation;

[0025] In the charging process, the larger the area irradiated by sunlight to the charger, the greater the probability of temperature rise of the charger, especially when the sunlight irradiates the center position of the charger, the charger temperature rises faster, and the charging temperature value prediction model of the charger continuously irradiated by sunlight is constructed to obtain the temperature reached by the charger irradiated by sunlight.

[0026] The time t of the charger continuously irradiated by sunlight is: t=t3-t2;

[0027] The charging temperature value prediction model of the charger continuously irradiated by sunlight is constructed:

[0028] Establish the growth curve:

[0029]

[0030] Wherein, y1 is the charging prediction temperature value of the charger continuously irradiated by sunlight; k1, d, f are all parameter values, k1>0, d>1, f>1;

[0031] The temperature of the charger rises slowly at the beginning of charging, t slowly becomes longer, and y1 rises slowly; when it is irradiated by sunlight, y1 grows faster as t becomes longer; when the charger is about to complete charging, t is still getting longer, but when t reaches a certain time, the growth value of y1 tends to 0; with the change of time, the growth mode of temperature conforms to the growth curve.

[0032] The highest temperature value that the charger can reach during charging is:

[0033] y2 = y + y1

[0034] The highest temperature reference value T of the charger is set, and when y2 > T, the temperature warning module gives a warning, reminding the user to pay attention to the temperature during charging, and at the same time stops charging and pushes some power safety documents.

[0035] During the charging process of the electric vehicle charger, the temperature of the charger will rise, but after being irradiated by sunlight, the temperature will rise more, and when it reaches a certain temperature, it is easy to cause danger and damage the battery life, so the charger needs to stop charging when the temperature of the charger rises to the highest temperature reference value.

[0036] The computer data security monitoring system based on blockchain and big data, the system includes a blockchain traceability module, a temperature detection and analysis module, a temperature comparison and judgment module, a temperature warning module, and a pushing module;

[0037] The blockchain traceability module is used to record and store the initial time when the electric vehicle charger is charging without being irradiated by sunlight, the time when the electric vehicle charger is initially irradiated by sunlight during the charging process, and the end time when the charging is completed after being continuously irradiated by sunlight; the temperature detection and analysis module is used to detect and analyze the charging temperature value when the charger is not irradiated by sunlight and the charging temperature value when the charger is continuously irradiated by sunlight; the temperature comparison and judgment module is used to compare and judge the temperature value that the charger can reach during charging with the highest temperature reference value of the charger; the temperature warning module is used to remind the user to pay attention to the temperature during charging when the temperature judgment module judges that the temperature that the charger can reach is greater than the highest temperature reference value, and at the same time stops charging; the pushing module is used to push some power safety documents after the temperature warning module gives a warning information;

[0038] The output end of the blockchain traceability module is connected with the input end of the temperature detection module; the output end of the temperature detection and analysis module is connected with the input end of the temperature comparison and judgment module; the output end of the temperature comparison and judgment module is connected with the input end of the temperature warning module; the output end of the temperature warning module is connected with the input end of the pushing module; the output end of the pushing module is connected with the input end of the management port.

[0039] The blockchain traceability module comprises a recording unit and a storage unit.

[0040] The blockchain traceability module is used to record the initial time when the electric vehicle charger is charged without being irradiated by sunlight, the initial time when the electric vehicle charger is irradiated by sunlight during the charging process, and the end time when the electric vehicle charger is continuously irradiated by sunlight until the charging is completed; the storage unit is used to store the initial time when the electric vehicle charger is charged without being irradiated by sunlight, the initial time when the electric vehicle charger is irradiated by sunlight during the charging process, and the end time when the electric vehicle charger is continuously irradiated by sunlight until the charging is completed.

[0041] The output end of the recording unit is connected to the input end of the storage unit; the output end of the storage unit is connected to the input end of the temperature detection and analysis module.

[0042] The temperature detection and analysis module comprises a detection unit and an analysis unit.

[0043] The detection unit is used to detect the charging temperature value when the charger is not irradiated by sunlight and the charging temperature value when the charger is continuously irradiated by sunlight; the analysis unit is used to analyze the charging temperature value when the charger is not irradiated by sunlight and the charging temperature value when the charger is continuously irradiated by sunlight.

[0044] The output end of the detection unit is connected to the input end of the analysis unit; the output end of the analysis unit is connected to the input end of the temperature comparison and judgment module.

[0045] The temperature comparison and judgment module comprises a comparison unit and a judgment unit.

[0046] The comparison unit is used to compare the temperature value that the charger can reach during the charging process with the highest temperature reference value of the charger; the judgment unit is used to judge the temperature value that the charger can reach during the charging process with the highest temperature reference value of the charger.

[0047] The output end of the comparison unit is connected to the input end of the judgment unit; the output end of the judgment unit is connected to the input end of the temperature warning module.

[0048] The temperature warning module comprises a warning unit and a control unit.

[0049] The warning unit is used to remind the user to pay attention to the temperature when the temperature judgment module judges that the temperature that the charger can reach is greater than the highest temperature reference value; the control unit is used to control the charger to stop charging when the warning unit issues a warning.

[0050] The output end of the warning unit is connected to the input end of the control unit; the output end of the control unit is connected to the input end of the push module.

[0051] The push module comprises a reminding unit and a message push unit.

[0052] The reminding unit is used for reminding a user to pay attention to temperature and stopping charging when the temperature warning module gives a warning information; and the message push unit is used for pushing some power consumption safety documents.

[0053] An output end of the reminding unit is connected with an input end of the message push unit; and an output end of the message push unit is connected with an input end of the management port.

[0054] Compared with the prior art, the present application has the beneficial effects that a computer data security monitoring platform is constructed for monitoring electric vehicle data, including charging duration data and charger temperature value data.

[0055] The initial time when the electric vehicle charger starts charging is obtained, a charging temperature value prediction model when the charger is not irradiated by sunlight is constructed, and the charger temperature value when the charger is not irradiated by sunlight is calculated; the initial time when the electric vehicle charger is irradiated by sunlight during the charging process and the end time when the charger is continuously irradiated by sunlight until the charging is completed are obtained, the shadow area irradiated by sunlight on the charger is obtained, the temperature value caused by temperature rise under the condition of irradiating the central area is calculated, a charging temperature value prediction model when the charger is continuously irradiated by sunlight is constructed, and the charger temperature value when the charger is continuously irradiated by sunlight is calculated; the highest temperature reference value of the charger is set, the monitoring data is uploaded to the blockchain traceability module, it is judged whether the temperature value that the charger can reach during the charging process exceeds the highest temperature reference value of the charger, if the temperature value that the charger can reach exceeds the highest temperature reference value of the charger, the temperature warning module gives a warning, the user is reminded to pay attention to temperature, the charging is stopped, and some power consumption safety documents are pushed.

[0056] The present application is used for detecting the heating problem of the electric vehicle charger, can prompt the temperature change during the charging process, make a warning in advance, prevent fire from occurring, and protect the safety of people's life and property. BRIEF DESCRIPTION OF DRAWINGS

[0057] The accompanying drawings are used to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, for explaining the present application, and do not constitute a limitation to the present application. In the drawings:

[0058] Fig. 1 is a structural schematic diagram of the computer data security monitoring system and method based on blockchain and big data of the present application;

[0059] Fig. 2is a flowchart of a computer data security monitoring system and method based on blockchain and big data of the present application;

[0060] Fig. 3 is a shadow diagram of a computer data security monitoring system and method based on blockchain and big data of the present application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0062] Please refer to Figs. 1-3 The present application provides technical solutions:

[0063] The computer data security monitoring system and method based on blockchain and big data comprises the following steps:

[0064] S1, a computer data security monitoring platform is constructed, which includes personal information data, location data, and a blockchain traceability module of the user;

[0065] S2, the blockchain traceability module stores life data and early warning data. When the early warning data reaches a certain quantity threshold, a temperature early warning module performs early warning, reminds the user to pay attention to temperature during charging, stops charging, and pushes some power utilization safety documents;

[0066] S3, an electric vehicle charging area s is constructed, an initial time when the electric vehicle charger starts charging is obtained, a charging temperature value prediction model when the charger is not illuminated by sunlight is constructed, and the charger temperature value when the charger is not illuminated by sunlight is calculated;

[0067] S5, an initial time when the electric vehicle charger is illuminated by sunlight during charging and an end time when the sunlight illumination to the charger is completed are obtained, a shadow area of the sunlight illumination to the charger is obtained, a temperature value caused by temperature rise under the condition of illumination to the central area is calculated, a charging temperature value prediction model when the charger is continuously illuminated by sunlight is constructed, and the charger temperature value when the charger is continuously illuminated by sunlight is calculated;

[0068] S6, a highest temperature reference value of the charger is set, and blockchain record temperature value monitoring data is set. It is judged whether the temperature value that the charger can reach during charging exceeds the highest temperature reference value of the charger.

[0069] The charging temperature value prediction model when the charger is not illuminated by sunlight is constructed:

[0070] S2-1, a mathematical model is established, historical data of the electric vehicle charger charging is collected, including each time when the electric vehicle charger is not irradiated by sunlight and each temperature value reached by the charger in the time period, the data is set as (x i , y i ), i = 1, 2, 3…, n, wherein x i is the initial temperature when the electric vehicle charger starts charging, y i is the highest temperature value reached when the electric vehicle charger is not irradiated by sunlight during charging;

[0071] S2-2, a fitting curve y = kx + b of the charging temperature value of the charger not irradiated by sunlight is set, and the fitting value According to the definition condition of the sample point and the fitting curve , it can be obtained that Wherein k is the curve coefficient, b is the error term, is the predicted value of the curve coefficient, is the predicted value of the error term, is the predicted value of the highest temperature reached when the electric vehicle charger is not irradiated by sunlight during charging; y is the predicted value of the charging temperature of the charger not irradiated by sunlight;

[0072] S2-3, the value of is set to be the minimum, wherein L is the residual sum of squares;

[0073] S2-4, the value of

[0074]

[0075]

[0076]

[0077]

[0078]

[0079] Similarly,

[0080]

[0081] The fitting curve is obtained as

[0082]

[0083] Wherein x i is the initial temperature when the electric vehicle charger starts charging, y i is the temperature value reached when the electric vehicle charger is not irradiated by sunlight during charging.

[0084] S3, obtaining the initial time when the electric vehicle charger is irradiated by sunlight during charging and the end time when the charger is continuously irradiated by sunlight until charging is completed, obtaining the shadow area of the charger irradiated by sunlight, calculating the area of the charger irradiated by sunlight, calculating the probability of temperature rise increase under different irradiation area conditions, constructing a charging temperature value prediction model of the charger continuously irradiated by sunlight, and calculating the charger temperature value when the charger is continuously irradiated by sunlight;

[0085] The initial time when the electric vehicle charger is irradiated by sunlight during charging is t2, the end time when the charger is continuously irradiated by sunlight until charging is completed is t3, and the shadow area generated by the charger continuously irradiated by sunlight is S0;

[0086] The area S1 of the charger continuously irradiated by sunlight is:

[0087] S1 = (ab + ac + bc) * 2 - S0

[0088] Wherein, a is the length of the charger; b is the width of the charger; c is the height of the charger;

[0089] The temperature value of temperature rise under the condition of irradiating the center area is calculated:

[0090] T1 = T0 + a1 * S1

[0091] Wherein, T1 is the temperature value of temperature rise under different irradiation area conditions; a1 is the weight of temperature rise under the condition of continuously irradiating the center area; T0 is the temperature of the charger continuously irradiated to the edge position;

[0092] The time t of the charger continuously irradiated by sunlight is: t = t3 - t2;

[0093] The charging temperature value prediction model of the charger continuously irradiated by sunlight is constructed:

[0094]

[0095] Wherein, y1 is the charging prediction temperature value of the charger continuously irradiated by sunlight; k1, d, f are all parameter values, k1 > 0, d > 0, f > 1;

[0096] S4, setting the highest temperature reference value of the charger, and monitoring the data to judge whether the temperature value that the charger can reach exceeds the highest temperature reference value of the charger during charging. If the temperature value that the charger can reach is greater than the highest temperature reference value, the temperature warning module will give a warning to remind the user to pay attention to the temperature during charging, and at the same time stop charging and push some power consumption safety documents.

[0097] The initial time of the electric vehicle charger when being irradiated by sunlight during the charging process is t2, the end time of being irradiated by sunlight until the charging is completed is t3, and the angle value of the sunlight irradiating the charger is θ;

[0098] The highest temperature value that the charger can reach during the charging process is:

[0099] y2=y+y1

[0100] The highest temperature reference value T of the charger is set, and when y2>T, a temperature warning is performed by the temperature warning module to remind the user to pay attention to the temperature during charging, and the charging is stopped and some power consumption safety documents are pushed.

[0101] Embodiment one:

[0102] Set x i and y i are (16, 20) and (17, 19) respectively;

[0103] According to the formula , x i and y i are substituted to obtain y=0.925x+6.377;

[0104] The initial temperature of the electric vehicle charger when starting charging is 15 degrees Celsius, and the temperature value reached by the electric vehicle charger after a period of charging when not being irradiated by sunlight is 20.252 degrees Celsius;

[0105] The surface area of the electric vehicle charger is set to 20dm 2 , and the shadow area is set to 150dm 2 ; The area S1 of the charger irradiated by sunlight is: S1=50cm 2 ;

[0106] T0 is set to 12 degrees Celsius, and a1 is 0.67;

[0107] The temperature value T1 reached by the temperature rise under the condition of irradiating the central area is calculated as T1=12+0.67*50, and the calculation result is T1=45.5;

[0108] A charging temperature value prediction model for the charger when being continuously irradiated by sunlight is constructed:

[0109] The calculation result of y1 is 47.9;

[0110] The highest temperature value y2 that the charger can reach during the charging process is:

[0111] y2=20.252+47.9=68.152

[0112] The highest temperature reference value T of the charger is set to 66 degrees Celsius, and when y2>T, the temperature warning module gives a warning, reminding the user to pay attention to the temperature during charging, and at the same time stops charging and pushes some power safety documents.

[0113] The computer data security monitoring system based on blockchain and big data comprises a blockchain traceability module, a temperature detection and analysis module, a temperature comparison and judgment module, a temperature warning module, and a pushing module.

[0114] The blockchain traceability module is used to record and store the initial time when the electric vehicle charger is charged without being irradiated by sunlight, the initial time when the electric vehicle charger is initially irradiated by sunlight during charging, and the end time when the charging is completed after being continuously irradiated by sunlight; the temperature detection and analysis module is used to detect and analyze the charging temperature value when the charger is not irradiated by sunlight and the charging temperature value when the charger is continuously irradiated by sunlight; the temperature comparison and judgment module is used to compare and judge the temperature value that the charger can reach during charging with the highest temperature reference value of the charger; the temperature warning module is used to remind the user to pay attention to the temperature during charging when the temperature judgment module judges that the temperature that the charger can reach is greater than the highest temperature reference value, and at the same time, the charging is stopped; and the pushing module is used to push some power safety documents after the temperature warning module gives a warning information.

[0115] The output end of the blockchain traceability module is connected with the input end of the temperature detection module; the output end of the temperature detection and analysis module is connected with the input end of the temperature comparison and judgment module; the output end of the temperature comparison and judgment module is connected with the input end of the temperature warning module; the output end of the temperature warning module is connected with the input end of the pushing module; and the output end of the pushing module is connected with the input end of the management port.

[0116] The blockchain traceability module comprises a recording unit and a storage unit.

[0117] The blockchain traceability module is used to record the initial time when the electric vehicle charger is charged without being irradiated by sunlight, the initial time when the electric vehicle charger is irradiated by sunlight during charging, and the end time when the charging is completed after being continuously irradiated by sunlight; and the storage unit is used to store the initial time when the electric vehicle charger is charged without being irradiated by sunlight, the initial time when the electric vehicle charger is irradiated by sunlight during charging, and the end time when the charging is completed after being continuously irradiated by sunlight.

[0118] The output end of the recording unit is connected with the input end of the storage unit; and the output end of the storage unit is connected with the input end of the temperature detection and analysis module.

[0119] The temperature detection and analysis module comprises a detection unit and an analysis unit.

[0120] The detection unit is used for detecting the charging temperature value when the charger is not irradiated by sunlight and the charging temperature value when the charger is continuously irradiated by sunlight; the analysis unit is used for analyzing the charging temperature value when the charger is not irradiated by sunlight and the charging temperature value when the charger is continuously irradiated by sunlight.

[0121] The output end of the detection unit is connected with the input end of the analysis unit; the output end of the analysis unit is connected with the input end of the temperature comparison judgment module.

[0122] The temperature comparison judgment module comprises a comparison unit and a judgment unit.

[0123] The comparison unit is used for comparing the temperature value that the charger can reach during the charging process with the highest temperature reference value of the charger; the judgment unit is used for judging the temperature value that the charger can reach during the charging process and the highest temperature reference value of the charger.

[0124] The output end of the comparison unit is connected with the input end of the judgment unit; the output end of the judgment unit is connected with the input end of the temperature early warning module.

[0125] The temperature early warning module comprises an early warning unit and a control unit.

[0126] The blockchain early warning unit is used for reminding the user to pay attention to the temperature of charging when the temperature judgment module judges that the temperature that the charger can reach is greater than the highest temperature reference value; the control unit is used for controlling the charger to stop charging when the early warning unit issues a warning.

[0127] The output end of the early warning unit is connected with the input end of the control unit; the output end of the control unit is connected with the input end of the management port.

[0128] The push module comprises a reminding unit and a message push unit.

[0129] The reminding unit is used for reminding the user to pay attention to the temperature of charging and stopping charging when the temperature early warning module issues a warning information; the message push unit is used for pushing some power consumption safety documents.

[0130] The output end of the reminding unit is connected with the input end of the message push unit; the output end of the message push unit is connected with the input end of the computer system port.

[0131] It is to be noted that, in the present text, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0132] Finally, it should be noted that the above-mentioned only constitutes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art will still be able to modify the technical solutions described in the foregoing embodiments or make equivalent replacements to some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A computer data security monitoring method based on blockchain and big data, characterized by: The method comprises the following steps: S1. Build a computer data security monitoring platform to monitor electric vehicle data, including charging time data and charger temperature data; S2. Construct an electric vehicle charging area s, obtain the initial time when the electric vehicle charger starts charging, construct a charging temperature value prediction model when the charger is not exposed to sunlight, and calculate the charger temperature value when the charger is not exposed to sunlight; Construct a prediction model for the charging temperature when the charger is not exposed to sunlight: S2-1. Establish a mathematical model to collect historical data of electric vehicle charger charging, including the various moments when the electric vehicle charger is not exposed to sunlight and the various temperature values ​​reached by the charger during this time period. Set these data as (x i ,y i ), i=1,2,3...,n, where x i is the initial temperature of the electric vehicle charger when it starts charging without being exposed to sunlight, y i The maximum temperature reached by the electric vehicle charger during charging when it is not exposed to sunlight; S2-2, set the fitting curve y=kx+b for the charging temperature value when the charger is not exposed to sunlight; let the fitting value According to the definition conditions of sample points and fitting curve able to obtain Where k is the curve coefficient, b is the error term, is the predicted value of the curve coefficient, The predicted value of the error term, is the predicted maximum temperature of the electric vehicle charger when it is not exposed to sunlight during charging; y is the predicted charging temperature when the charger is not exposed to sunlight; S2-3. Settings It is necessary to minimize the L value, where L is the residual sum of squares; S2-4. Obtain the fitting curve by calculation where x i is the initial temperature of the electric vehicle charger when it starts charging without being exposed to sunlight, y i The maximum temperature reached by the electric vehicle charger during charging when it is not exposed to sunlight; S3. Obtain the initial moment when the electric vehicle charger is exposed to sunlight during the charging process and the end moment when the charger is continuously exposed to sunlight until charging is completed, obtain the shadow area of ​​the charger caused by sunlight, calculate the temperature value that causes the temperature to rise when the central area is exposed to sunlight, construct a charging temperature value prediction model when the charger is continuously exposed to sunlight, and calculate the charger temperature value when the charger is continuously exposed to sunlight; S4. Set the maximum temperature reference value of the charger and upload the monitoring data to the blockchain traceability module to determine whether the temperature value that the charger can reach during the charging process exceeds the maximum temperature reference value of the charger. If the temperature value that the charger can reach exceeds the maximum temperature reference value of the charger, the temperature warning module will issue an early warning to remind the user to pay attention to the temperature when charging, stop charging, and push some documents on electricity safety.

2. The computer data security monitoring method based on blockchain and big data according to claim 1 is characterized in that: The initial time when the electric vehicle charger is exposed to sunlight during the charging process is t2, the end time when the electric vehicle charger is continuously exposed to sunlight until the charging is completed is t3, and the shadow area caused by the continuous exposure of sunlight to the charger is S0; The area S1 of the charger that is continuously exposed to sunlight is: S1=(ab+ac+bc)*2-S0 Where a is the length of the charger; b is the width of the charger; c is the height of the charger; Calculate the temperature rise caused by irradiation on the central area: T1=T0+a1*S1 Where T1 is the temperature value reached when the temperature rises under different irradiation areas; a1 is the weight of the temperature rise caused by continuous irradiation to the center area; T0 is the temperature rise caused by continuous irradiation to the edge of the charger; The time t during which the charger is continuously exposed to sunlight is: t = t3 - t2; Construct a model to predict the charging temperature when the charger is continuously exposed to sunlight: Where y1 is the predicted charging temperature when the charger is continuously exposed to sunlight; k1, d, and f are all parameter values, k1>0, d>1, and f>1.

3. The computer data security monitoring method based on blockchain and big data according to claim 2 is characterized in that: The maximum temperature the charger can reach during charging is: y2=y+y1 Set the maximum temperature reference value T of the charger. When y2>T, the temperature warning module will issue an early warning to remind the user to pay attention to the temperature when charging. At the same time, it will stop charging and push some documents on electricity safety.

4. A computer data security monitoring system based on blockchain and big data, applied to the computer data security monitoring method based on blockchain and big data as claimed in any one of claims 1 to 3, characterized in that: The system includes blockchain traceability module, temperature detection and analysis module, temperature comparison and judgment module, temperature warning module, and push module; The blockchain traceability module is used to record and store the initial moment of charging of the electric vehicle charger when it is not exposed to sunlight, the moment when the electric vehicle charger is initially exposed to sunlight during the charging process, and the end moment when the electric vehicle charger is continuously exposed to sunlight until charging is completed; the temperature detection and analysis module is used to detect and analyze the charging temperature value of the charger when it is not exposed to sunlight and the charging temperature value of the charger when it is continuously exposed to sunlight; the temperature comparison and judgment module is used to compare and judge the temperature value that the charger can reach during the charging process with the maximum temperature reference value of the charger; The temperature warning module is used to remind the user to pay attention to the charging temperature and stop charging when the temperature judgment module determines that the temperature that the charger can reach is greater than the maximum temperature reference value; the push module is used to push some electricity safety documents after the temperature warning module issues a warning message; The output end of the blockchain traceability module is connected to the input end of the temperature detection module; the output end of the temperature detection and analysis module is connected to the input end of the temperature comparison and judgment module; the output end of the temperature comparison and judgment module is connected to the input end of the temperature early warning module; the output end of the temperature early warning module is connected to the input end of the push module; the output end of the push module is connected to the input end of the management port.

5. The computer data security monitoring system based on blockchain and big data according to claim 4 is characterized in that: The blockchain traceability module includes a recording unit and a storage unit; The blockchain traceability module is used to record the initial time when the electric vehicle charger is not exposed to sunlight and charging, the initial time when the electric vehicle charger is exposed to sunlight during the charging process, and the end time when the electric vehicle charger is continuously exposed to sunlight until charging is completed; the storage unit is used to store the initial time when the electric vehicle charger is not exposed to sunlight and charging, the initial time when the electric vehicle charger is exposed to sunlight during the charging process, and the end time when the electric vehicle charger is continuously exposed to sunlight until charging is completed; The output end of the recording unit is connected to the input end of the storage unit; the output end of the storage unit is connected to the input end of the temperature detection and analysis module.

6. The computer data security monitoring system based on blockchain and big data according to claim 4 is characterized in that: The temperature detection and analysis module includes a detection unit and an analysis unit; The detection unit is used to detect the charging temperature value when the charger is not exposed to sunlight and the charging temperature value when the charger is continuously exposed to sunlight; the analysis unit is used to analyze the charging temperature value when the charger is not exposed to sunlight and the charging temperature value when the charger is continuously exposed to sunlight; The output end of the detection unit is connected to the input end of the analysis unit; the output end of the analysis unit is connected to the input end of the temperature comparison and judgment module.

7. The computer data security monitoring system based on blockchain and big data according to claim 4 is characterized in that: The temperature comparison and judgment module includes a comparison unit and a judgment unit; The comparison unit is used to compare the temperature value that the charger can reach during the charging process with the maximum temperature reference value of the charger; the judgment unit is used to judge the temperature value that the charger can reach during the charging process with the maximum temperature reference value of the charger; The output end of the comparison unit is connected to the input end of the judgment unit; the output end of the judgment unit is connected to the input end of the temperature early warning module.

8. The computer data security monitoring system based on blockchain and big data according to claim 4 is characterized in that: The temperature warning module includes a warning unit and a control unit; The warning unit is used to remind the user to pay attention to the temperature when charging when the temperature judgment module determines that the temperature that the charger can reach is greater than the maximum temperature reference value; the control unit is used to control the charger to stop charging when the warning unit issues a warning; The output end of the early warning unit is connected to the input end of the control unit; the output end of the control unit is connected to the input end of the push module.

9. The computer data security monitoring system based on blockchain and big data according to claim 4 is characterized in that: The push module includes a reminder unit and a message push unit; The reminder unit is used to remind the user to pay attention to the charging temperature and stop charging when the temperature warning module issues a warning message; the message push unit is used to push some documents on electricity safety; The output end of the reminder unit is connected to the input end of the message push unit; the output end of the message push unit is connected to the input end of the management port.

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