Charging early warning method and device and charging shed

By acquiring and processing the current and historical parameter data of the charging shed, the charging safety weighted value is calculated, and the problem of error alarms in the existing technology is solved, and more accurate charging shed status monitoring is achieved.

CN119527093APending Publication Date: 2025-02-28SHANGHAI NEIGHBORHOOD NEIGHBORHOOD INFORMATION TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411826044.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

The existing charging shed early warning system cannot accurately judge the charging shed condition and is prone to issue false alarms.

Method used

By obtaining the current parameter data and historical parameter data, the real parameter data is calculated, and the charging safety weighting value is calculated based on the real parameter data, and a normal signal or alarm signal is output in combination with the safety threshold range.

Benefits of technology

It improves detection accuracy, reduces the chance of false alarms, and can more accurately reflect the real situation in the charging shed.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119527093A_ABST
    Figure CN119527093A_ABST
Patent Text Reader

Abstract

The invention relates to a charging early warning method and device and a charging shed, and relates to the technical field of battery charging, and the charging early warning method comprises the steps: obtaining current parameter data; obtaining real parameter data according to the current parameter data and the historical parameter data; obtaining a charging safety weighted value according to the real parameter data; and outputting a signal representing normal charging or an alarm signal representing abnormal charging according to the charging safety weighted value and the safety threshold range. According to the charging early warning method and device and the charging shed, the detection accuracy can be improved, and the probability of sending out a false alarm is reduced.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present application relates to the field of battery charging technology, and in particular to a charging early warning method, device and charging shed. Background Art

[0002] According to regulations, electric bicycles need to be parked in charging sheds for centralized charging. In actual applications, the charging shed may cause high temperatures due to electrical failures, resulting in safety accidents. Therefore, in the prior art, relevant early warning systems are arranged in the charging shed to alarm when electrical failures occur to prevent safety accidents from occurring. However, since the relevant parameter data in the charging shed changes in real time, the early warning system used in the prior art only detects the real-time relevant parameters in the charging shed and cannot accurately judge the situation in the charging shed, which makes it easy to issue false alarms. Summary of the invention

[0003] In order to solve the above technical problems, the embodiments of the present application provide a charging warning method, device and charging shed, which can improve detection accuracy and reduce the probability of issuing false alarms.

[0004] According to one aspect of the present application, a charging early warning method is provided, comprising:

[0005] Acquire current parameter data; wherein the current parameter data represents parameter data affecting the charging operation of the current electrical device;

[0006] According to the current parameter data and the historical parameter data, real parameter data is obtained; wherein the historical parameter data represents parameter data corresponding to the current parameter data within a first preset time period in the past;

[0007] Obtaining a charging safety weighted value according to the real parameter data; and

[0008] According to the charging safety weighted value and the safety threshold range, a signal indicating normal charging or an alarm signal indicating abnormal charging is output.

[0009] According to one aspect of the present application, obtaining current parameter data includes:

[0010] Acquiring the current parameter data in different time periods;

[0011] The obtaining of the real parameter data according to the current parameter data and the historical parameter data comprises:

[0012] According to the current parameter data in different time periods and the corresponding historical parameter data, the real parameter data in different time periods are obtained;

[0013] The obtaining of the charging safety weighted value according to the real parameter data comprises:

[0014] Obtaining the charging safety weighted value in different time periods according to the real parameter data in different time periods;

[0015] Outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range includes:

[0016] According to the charging safety weighted values ​​in different time periods and the safety threshold ranges in different time periods, a signal indicating normal charging or an alarm signal indicating abnormal charging is output.

[0017] According to one aspect of the present application, the current parameter data includes current environmental parameter data, current charging pile charging parameter data and current power-consuming device battery parameter data; the real parameter data includes real environmental parameter data, real charging pile charging parameter data and real power-consuming device battery parameter data;

[0018] The obtaining of current parameter data comprises:

[0019] Acquire the current environmental parameter data;

[0020] Obtaining charging parameter data of the current charging pile; and

[0021] Obtaining battery parameter data of the current power-consuming device;

[0022] The obtaining of the real parameter data according to the current parameter data and the historical parameter data comprises:

[0023] According to the current environmental parameter data, the current charging pile charging parameter data, the battery parameter data of the current electric device and the historical parameter data, the real environmental parameter data, the real charging pile charging parameter data and the real electric device battery parameter data are obtained;

[0024] The obtaining of the charging safety weighted value according to the real parameter data comprises:

[0025] The charging safety weighted value is obtained according to the real environment parameter data, the real charging pile charging parameter data and the real power-consuming equipment battery parameter data.

[0026] According to one aspect of the present application, obtaining current environmental parameter data includes:

[0027] The current environment temperature value and the current particle concentration are acquired, and the current environment temperature value and the current particle concentration are used as the current environment parameter data.

[0028] According to one aspect of the present application, obtaining the current charging pile charging parameter data includes:

[0029] The current charging voltage, current charging current and current temperature of the power bus of the charging pile are obtained, and the current charging voltage, current charging current and current temperature of the power bus are used as the current charging parameter data of the charging pile.

[0030] According to one aspect of the present application, obtaining battery parameter data of the current power-consuming device includes:

[0031] Obtaining the identification number of the current power-consuming device;

[0032] A safe charging curve of the current power-consuming device is obtained according to the identification number, and the safe charging curve is used as the battery parameter data of the current power-consuming device.

[0033] According to one aspect of the present application, before outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range, the charging early warning method further includes:

[0034] Obtaining a current time period corresponding to the current parameter data; and

[0035] According to the current time period and the historical threshold range, the safety threshold range within the current time period is obtained;

[0036] Outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range includes:

[0037] A signal indicating normal charging or an alarm signal indicating abnormal charging is output according to the charging safety weighted value and the safety threshold range in the current time period.

[0038] According to one aspect of the present application, outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range includes:

[0039] If the charging safety weighted value is within the safety threshold range, a signal indicating normal charging is output; or,

[0040] If the charging safety weighted value is outside the safety threshold range, an alarm signal indicating charging abnormality is output, and the charging pile is controlled to stop charging.

[0041] According to another aspect of the present application, a charging warning device is also provided, including:

[0042] A first acquisition module is configured to acquire current parameter data; wherein the current parameter data represents parameter data that affects the current charging operation of the electrical device;

[0043] A first calculation module is configured to obtain real parameter data according to the current parameter data and historical parameter data; wherein the historical parameter data represents parameter data corresponding to the current parameter data within a first preset time period in the past;

[0044] A second calculation module is configured to obtain a charging safety weighted value according to the real parameter data;

[0045] The first output module is configured to output a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range.

[0046] According to another aspect of the present application, a charging shed is also provided, comprising:

[0047] Shed body;

[0048] A plurality of charging piles are arranged in the shed;

[0049] A plurality of sensors are arranged in the shed;

[0050] An electronic device is communicatively connected to the plurality of charging piles and the plurality of sensors, and the electronic device is configured to execute the charging early warning method as described above.

[0051] The charging warning method, device and charging shed provided in the present application obtain current parameter data, and then obtain real parameter data based on the current parameter data and historical parameter data, and then obtain a charging safety weighted value based on the real parameter data, and then output a signal representing normal charging or an alarm signal representing abnormal charging based on the charging safety weighted value and the safety threshold range. In this way, since the background noise in the process of detecting the current parameter data can be separated by the current parameter data and the historical parameter data, the current parameter data is more accurate, thereby improving the accuracy of the real parameter data. Moreover, since the real parameter data may include different types of parameter data, the different types of parameter data are weightedly calculated through an intelligent algorithm, and the obtained charging safety weighted value can represent the comprehensive influence of different types of parameter data on the charging operation, thereby being able to more accurately reflect the real situation in the charging shed and reduce the chance of false alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0053] Figure 1 A flowchart of a charging warning method provided by an exemplary embodiment of the present application.

[0054] Figure 2 A flowchart of a charging warning method provided by another exemplary embodiment of the present application.

[0055] Figure 3 A flowchart of a charging warning method provided by another exemplary embodiment of the present application.

[0056] Figure 4 A flowchart of a charging warning method provided by another exemplary embodiment of the present application.

[0057] Figure 5 A flowchart of a charging warning method provided by another exemplary embodiment of the present application.

[0058] Figure 6 A schematic diagram of a process for obtaining battery parameter data of a current power-consuming device provided by an exemplary embodiment of the present application.

[0059] Figure 7 A flowchart of a charging warning method provided by another exemplary embodiment of the present application.

[0060] Figure 8 A flowchart of a charging warning method provided by another exemplary embodiment of the present application.

[0061] Fig. 9 This is a structural block diagram of a charging warning device provided by an exemplary embodiment of the present application.

[0062] Fig.10 This is a structural block diagram of a charging warning device provided by another exemplary embodiment of the present application.

[0063] Fig.11 A structural block diagram of a charging shed provided as an exemplary embodiment of the present application.

[0064] Fig.12 A schematic diagram of the structure of an electronic device provided as an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0065] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0066] Figure 1 The following is a flow chart of a charging warning method provided by an exemplary embodiment of the present application. Figure 1 As shown, the charging warning method provided by this application may include:

[0067] S210: Acquire current parameter data.

[0068] Specifically, the current parameter data may represent parameter data that affects the charging operation of the current electrical device. For example, the current parameter data may include the current ambient temperature, the concentration of particulate matter in the current environment, the current light intensity, and the like.

[0069] It should be understood that different types of sensors may be used for detection of different types of current parameter data. For example, the current ambient temperature may be detected by a temperature sensor, and the particle concentration in the current environment may be detected by a smoke sensor.

[0070] S220: Obtaining real parameter data according to current parameter data and historical parameter data.

[0071] Specifically, the historical parameter data may represent the parameter data corresponding to the current parameter data in the past first preset time period. That is, after obtaining the current parameter data, the parameter data corresponding to the current parameter data in the first preset time period may be obtained according to the type of the current parameter data. For example, after obtaining the current ambient temperature, the ambient temperature data in the first preset time period before the current time period may be obtained in the system storage, and then used as part of the historical parameter data.

[0072] It should be understood that when the current parameter data includes the current ambient temperature and the particulate matter concentration in the current environment, the historical parameter data may correspondingly include the ambient temperature data within the past first preset time period and the particulate matter concentration in the environment within the past first preset time period.

[0073] After executing step S220, the background noise in the process of detecting the current parameter data can be separated through the current parameter data and the historical parameter data, so that the accuracy of the real parameter data is significantly improved.

[0074] It should be noted that the first preset time period can be set according to actual conditions, for example, the first preset time period can be selected as one day, one week, one month, etc. The present application does not specifically limit the first preset time period.

[0075] S230: Obtaining a charging safety weighted value according to the actual parameter data.

[0076] Specifically, since the aforementioned current parameter data and historical parameter data may include different types of parameter data that affect the charging operation of the electrical equipment, the actual parameter data obtained based on the current parameter data and historical parameter data may also include different types of parameter data. By weighted calculation of different types of parameter data through intelligent algorithms, a charging safety weighted value can be obtained. Therefore, the charging safety weighted value can characterize the comprehensive impact of different types of parameter data on the charging operation, thereby being able to more accurately reflect the actual situation in the charging shed and reduce the probability of false alarms.

[0077] S240: Outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range.

[0078] Specifically, if the charging safety weighted value is within the safety threshold range, it means that the electrical equipment is in a normal charging state, and the system can output a signal indicating normal charging to continuously monitor the situation in the charging shed. If the charging safety weighted value is outside the safety threshold range, it means that the electrical equipment is in an abnormal charging state, and there is a high probability of a safety accident. At this time, the system can output an alarm message indicating abnormal charging and issue an alarm in time, so that the staff can be informed of the situation in the charging shed in time, take emergency measures, and reduce the probability of safety accidents.

[0079] The charging warning method provided by the present application obtains current parameter data, and then obtains real parameter data based on the current parameter data and historical parameter data, and then obtains a charging safety weighted value based on the real parameter data, and then outputs a signal representing normal charging or an alarm signal representing abnormal charging based on the charging safety weighted value and the safety threshold range. In this way, since the background noise in the process of detecting the current parameter data can be separated through the current parameter data and the historical parameter data, the current parameter data is more accurate, thereby improving the accuracy of the real parameter data. Moreover, since the real parameter data may include different types of parameter data, different types of parameter data are weightedly calculated through an intelligent algorithm, and the obtained charging safety weighted value can represent the comprehensive influence of different types of parameter data on the charging operation, thereby being able to more accurately reflect the real situation in the charging shed and reduce the chance of false alarms.

[0080] Figure 2 This is a flow chart of a charging warning method provided by another exemplary embodiment of the present application. Figure 2 As shown, step S210 may include:

[0081] S211: Acquire current parameter data in different time periods.

[0082] Specifically, the current parameter data in different time periods can be understood as the parameter data that is detected in different time periods and affects the charging operation of the electrical equipment. The current parameter data in different time periods may be different. For example, the ambient temperature in the afternoon and the ambient temperature at night are quite different, so it is not suitable to unify the two in the same time period. Therefore, generally, 7 pm can be used as the dividing point to detect the ambient temperature in different time periods and then store them by category.

[0083] Correspondingly, step S220 may include:

[0084] S221: Obtaining real parameter data in different time periods according to current parameter data in different time periods and corresponding historical parameter data.

[0085] It should be understood that the historical parameter data corresponding to the current parameter data will be different depending on the selected time period. For example, if the current parameter data in the time period from 1:00 p.m. to 7:00 p.m. on May 1st is obtained, then the historical parameter data in the first preset time period from 1:00 p.m. to 7:00 p.m. every day before May 1st can be obtained based on the obtained current parameter data. As mentioned above, the first preset time period before May 1st can be selected from one day before May 1st, one week before May 1st, one month before May 1st, etc. In this way, for the current parameter data in different time periods, the historical parameter data in the corresponding time period can be referred to, so as to separate the background noise in the process of detecting the current parameter data in the corresponding time period, so that the accuracy of the real parameter data obtained in different time periods is correspondingly improved.

[0086] Correspondingly, step S230 may include:

[0087] S231: Obtain charging safety weighted values ​​in different time periods according to actual parameter data in different time periods.

[0088] Specifically, different weights can be selected for the current parameter data in different time periods to obtain charging safety weighted values ​​in different time periods. Applying different safety weighted values ​​for different time periods can more accurately reflect the comprehensive impact of different types of parameter data on charging operations in different time periods, thereby more accurately reflecting the real situation in the charging shed and reducing the probability of false alarms.

[0089] Correspondingly, step S240 may include:

[0090] S241: Outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted values ​​in different time periods and the safety threshold ranges in different time periods.

[0091] Specifically, the safety threshold ranges are different for different selected time periods. For example, the safety threshold range for the afternoon time period may be greater than the safety threshold range for the night time period.

[0092] Figure 3 This is a flow chart of a charging warning method provided by another exemplary embodiment of the present application. Figure 3 As shown, step S210 may further include:

[0093] S212: Obtain current environmental parameter data.

[0094] S213: Obtain charging parameter data of the current charging pile.

[0095] S214: Obtain battery parameter data of the current power-consuming device.

[0096] Specifically, the current parameter data may include current environmental parameter data, current charging pile charging parameter data, and current power-consuming device battery parameter data. The current environmental parameter data may characterize the relevant parameter data that affects the charging operation of the current power-consuming device in the external environment. The current charging pile charging parameter data may characterize the relevant parameter data that affects the charging operation of the current power-consuming device in the charging pile. The current power-consuming device battery parameter data may characterize the relevant parameter data that affects the charging operation of the power-consuming device's battery itself.

[0097] It should be understood that by obtaining the current environmental parameter data, the current charging pile charging parameter data and the current power-consuming equipment battery parameter data, the impact of different types of parameter data on the charging operation can be comprehensively considered, thereby facilitating a more accurate reflection of the specific situation in the charging shed and reducing the chance of false alarms.

[0098] Correspondingly, step S220 may also include:

[0099] S222: According to the current environmental parameter data, the current charging pile charging parameter data, the current battery parameter data of the electric device and the historical parameter data, the real environmental parameter data, the real charging pile charging parameter data and the real battery parameter data of the electric device are obtained.

[0100] Specifically, the real parameter data may include real environment parameter data, real charging pile charging parameter data, and real power equipment battery parameter data. In the actual calculation process, according to the acquired current environment parameter data, current charging pile charging parameter data, and current power equipment battery parameter data, data of the same type can be selected from the historical parameter data, and then background noise can be separated from the current environment parameter data, current charging pile charging parameter data, and current power equipment battery parameter data, so that the accuracy of the real environment parameter data, the real charging pile charging parameter data, and the real power equipment battery parameter data is significantly improved.

[0101] Correspondingly, step S230 may also include:

[0102] S232: Obtain a charging safety weighted value based on the real environment parameter data, the real charging pile charging parameter data, and the real power-consuming device battery parameter data.

[0103] It should be understood that the charging safety weighted value calculated through real environmental parameter data, real charging pile charging parameter data and real electrical equipment battery parameter data comprehensively considers multiple factors that affect the charging operation, and can more accurately reflect the actual situation in the charging shed and reduce the probability of false alarms.

[0104] Figure 4 This is a flow chart of a charging warning method provided by another exemplary embodiment of the present application. Figure 4 As shown, step S212 may include:

[0105] S2121: Obtain the current ambient temperature value and the current particle concentration, and use the current ambient temperature value and the current particle concentration as current ambient parameter data.

[0106] It should be understood that the ambient temperature value and particle concentration have a great impact on safety accidents such as fire and explosion. Therefore, the current ambient temperature and the current particle concentration can be regarded as the main factors affecting the charging operation in the environment. In other words, the current ambient temperature value and the current particle concentration can be regarded as the aforementioned current environmental parameter data.

[0107] Figure 5 This is a flow chart of a charging warning method provided by another exemplary embodiment of the present application. Figure 5 As shown, step S213 may include:

[0108] S2131: Obtain the current charging voltage, current charging current and current temperature of the power bus of the charging pile, and use the current charging voltage, current charging current and current temperature of the power bus as the current charging parameter data of the charging pile.

[0109] Specifically, in the charging parameter data, the current charging voltage, the current charging current and the current temperature of the power bus can be used as the main reference indicators for whether there is a risk in the charging pile. Therefore, the current charging voltage, the current charging current and the current temperature of the power bus can be used as the current charging parameter data of the charging pile as a basis for judging whether there is a risk in the charging operation process.

[0110] It should be understood that the current charging voltage of the charging pile can be detected by a voltmeter, the current charging current of the charging pile can be detected by an ammeter, and the current temperature of the power bus can be detected by a temperature sensor arranged on the power bus.

[0111] Figure 6 A schematic diagram of a process for obtaining battery parameter data of a current power-consuming device provided by an exemplary embodiment of the present application. Figure 6 As shown, step S214 may include:

[0112] S2141: Obtain the identification number of the current power-consuming device.

[0113] Specifically, the identification number of the current power-consuming device may also be referred to as the ID number of the current power-consuming device. The type of battery of the current power-consuming device may be confirmed based on the identification number of the current power-consuming device, thereby facilitating subsequent determination of charging parameters associated with the type of battery.

[0114] S2142: Obtain a safe charging curve of the current power-consuming device according to the identification number, and use the safe charging curve as battery parameter data of the current power-consuming device.

[0115] Specifically, different types of electrical equipment have different identification numbers. The safe charging curves of the batteries of different types of electrical equipment can be stored in the system. After confirming the identification number of the current electrical equipment, the safe charging curve of the current electrical equipment can be obtained. The safe charging curve can be understood as the changes in various charging parameters when charging this type of battery, which can reflect whether the charging operation is in a normal state. Therefore, the safe charging curve can be used as the battery parameter data of the current electrical equipment, which is used as a basis for judging whether there are risks in the charging operation process.

[0116] Figure 7 This is a flow chart of a charging warning method provided by another exemplary embodiment of the present application. Figure 7 As shown, before step S240, the charging warning method may further include:

[0117] S250: Obtain the current time period corresponding to the current parameter data.

[0118] Specifically, in the process of acquiring the current parameter data, a timing device may be turned on accordingly. After data collection is completed, the current time period corresponding to the current parameter data may be obtained according to the data recorded by the timing device.

[0119] S260: Obtain a safety threshold range within the current time period according to the current time period and the historical threshold range.

[0120] Correspondingly, step S240 may include:

[0121] S242: Outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range in the current time period.

[0122] For example, if the current time period is from 1:00 p.m. to 7:00 p.m. on May 1st, then the safety threshold range from 1:00 p.m. to 7:00 p.m. in the second preset time period before May 1st can be referred to to obtain the safety threshold range in the current time period. Since the safety threshold range in the current time period refers to the historical threshold range, this is more accurate than directly setting it based on human experience and can more accurately avoid safety accidents.

[0123] It should be noted that the second preset time period can be set according to actual conditions, for example, the second preset time period can be selected as one day, one week, one month, etc. The present application does not specifically limit the second preset time period.

[0124] Figure 8 This is a flow chart of a charging warning method provided by another exemplary embodiment of the present application. Figure 8 As shown, when executing step S210, step S220 and step S230, step S240 may further include:

[0125] S243: If the charging safety weighted value is within the safety threshold range, output a signal indicating that charging is normal.

[0126] S244: If the charging safety weighted value is outside the safety threshold range, an alarm signal indicating abnormal charging is output, and the charging pile is controlled to stop charging.

[0127] It should be understood that if the charging safety weighted value is within the safety threshold range, it means that the electrical equipment is in a normal charging state, and the system can output a signal indicating normal charging to continuously monitor the situation in the charging shed. If the charging safety weighted value is outside the safety threshold range, it can indicate that the electrical equipment is in an abnormal charging state, and there is a greater probability of a safety accident. At this time, the system can output alarm information indicating abnormal charging and issue an alarm in time, so that the staff can be informed of the situation in the charging shed in a timely manner, take emergency measures, and reduce the probability of safety accidents.

[0128] Fig. 9 This is a structural block diagram of a charging warning device provided by an exemplary embodiment of the present application. Fig. 9 As shown, the charging warning device 400 provided in the present application may include: a first acquisition module 410, configured to acquire current parameter data; wherein the current parameter data represents parameter data that affects the charging operation of the current electrical equipment; a first calculation module 420, configured to obtain real parameter data based on the current parameter data and historical parameter data; wherein the historical parameter data represents parameter data corresponding to the current parameter data within a first preset time period in the past; a second calculation module 430, configured to obtain a charging safety weighted value based on the real parameter data; a first output module 440, configured to output a signal representing normal charging or an alarm signal representing abnormal charging based on the charging safety weighted value and the safety threshold range.

[0129] The charging warning device provided in the present application obtains current parameter data, and then obtains real parameter data based on the current parameter data and historical parameter data, and then obtains a charging safety weighted value based on the real parameter data, and then outputs a signal representing normal charging or an alarm signal representing abnormal charging based on the charging safety weighted value and the safety threshold range. In this way, since some background noise in the process of detecting the current parameter data can be separated through the current parameter data and the historical parameter data, the current parameter data is more accurate, thereby improving the accuracy of the real parameter data. Moreover, since the real parameter data may include different types of parameter data, different types of parameter data are weightedly calculated through an intelligent algorithm, and the obtained charging safety weighted value can represent the comprehensive influence of different types of parameter data on the charging operation, thereby being able to more accurately reflect the real situation in the charging shed and reduce the chance of false alarms.

[0130] Fig.10 This is a structural block diagram of a charging warning device provided by another exemplary embodiment of the present application. Fig.10As shown, in one embodiment, the first acquisition module 410 may include a second acquisition module 411, configured to obtain current parameter data within different time periods; correspondingly, the first calculation module 420 may include a third calculation module 421, configured to obtain real parameter data within different time periods based on the current parameter data within different time periods and the corresponding historical parameter data; correspondingly, the second calculation module 430 may include a fourth calculation module 431, configured to obtain charging safety weighted values ​​within different time periods based on the real parameter data within different time periods; correspondingly, the first output module 440 may include a second output module 441, configured to output a signal indicating normal charging or an alarm signal indicating abnormal charging based on the charging safety weighted values ​​within different time periods and the safety threshold ranges within different time periods.

[0131] like Fig.10 As shown, in one embodiment, the first acquisition module 410 may include a third acquisition module 412, configured to acquire current environmental parameter data; a fourth acquisition module 413, configured to acquire current charging pile charging parameter data; and a fifth acquisition module 414, configured to acquire current power-consuming device battery parameter data; correspondingly, the first calculation module 420 may include a fifth calculation module 422, configured to obtain real environmental parameter data, real charging pile charging parameter data and real power-consuming device battery parameter data based on current environmental parameter data, current charging pile charging parameter data, current power-consuming device battery parameter data and historical parameter data; correspondingly, the second calculation module 430 may include a sixth calculation module 432, configured to obtain a charging safety weighted value based on real environmental parameter data, real charging pile charging parameter data and real power-consuming device battery parameter data.

[0132] like Fig.10 As shown, in one embodiment, the third acquisition module 412 may also be configured to acquire the current ambient temperature value and the current particle concentration, and use the current ambient temperature value and the current particle concentration as current ambient parameter data.

[0133] like Fig.10 As shown, in one embodiment, the fourth acquisition module 413 can also be configured to obtain the current charging voltage, current charging current and current temperature of the power bus of the charging pile, and use the current charging voltage, current charging current and current temperature of the power bus as the current charging parameter data of the charging pile.

[0134] like Fig.10 As shown, in one embodiment, the fifth acquisition module 414 may include a sixth acquisition module 4141, configured to obtain the identification number of the current power-consuming device; a seventh acquisition module 4142, configured to obtain a safe charging curve of the current power-consuming device based on the identification number, and use the safe charging curve as battery parameter data of the current power-consuming device.

[0135] like Fig.10 As shown, in one embodiment, the charging warning device 400 may include an eighth acquisition module 450, configured to obtain the current time period corresponding to the current parameter data; and a ninth acquisition module 460, configured to obtain the safety threshold range within the current time period based on the current time period and the historical threshold range; correspondingly, the first output module 440 may also include a third output module 442, configured to output a signal indicating normal charging or an alarm signal indicating abnormal charging based on the charging safety weighted value and the safety threshold range within the current time period.

[0136] like Fig.10 As shown, in one embodiment, the first output module 440 may further include a fourth output module 443, configured to output a signal indicating normal charging if the charging safety weighted value is within a safety threshold range;

[0137] like Fig.10 As shown, in one embodiment, the first output module 440 may further include a fifth output module 444, which is configured to output an alarm signal indicating charging abnormality and control the charging pile to stop charging if the charging safety weighted value is outside the safety threshold range.

[0138] Fig.11 This is a structural block diagram of a charging shed provided by an exemplary embodiment of the present application. Fig.11 As shown, the present application also provides a charging shed 600, including a shed body 610; a plurality of charging piles 620, disposed in the shed body 610; a plurality of sensors 630, disposed in the shed body 610; an electronic device 640, communicatively connected to the plurality of charging piles 620 and the plurality of sensors 630, the electronic device 640 being configured to execute the aforementioned charging warning method.

[0139] In one embodiment, the plurality of sensors 630 may include a temperature sensor, a smoke sensor, a voltage sensor, a current sensor, etc.

[0140] The charging shed provided in the present application obtains current parameter data, and then obtains real parameter data based on the current parameter data and historical parameter data, and then obtains a charging safety weighted value based on the real parameter data, and then outputs a signal representing normal charging or an alarm signal representing abnormal charging based on the charging safety weighted value and the safety threshold range. In this way, since some background noise in the process of detecting the current parameter data can be separated out through the current parameter data and the historical parameter data, the current parameter data is more accurate, thereby improving the accuracy of the real parameter data. Moreover, since the real parameter data may include different types of parameter data, the different types of parameter data are weightedly calculated through an intelligent algorithm, and the obtained charging safety weighted value can represent the comprehensive influence of different types of parameter data on the charging operation, thereby being able to more accurately reflect the real situation in the charging shed and reduce the chance of false alarms.

[0141] Fig.12 A schematic diagram of the structure of an electronic device provided by an exemplary embodiment of the present application. Fig.12 The electronic device 640 according to the embodiment of the present application is described. The electronic device 640 may be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device may communicate with the first device and the second device to receive the collected input signals from them.

[0142] like Fig.12 As shown, the electronic device 640 includes one or more processors 641 and a memory 642 .

[0143] The processor 641 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 640 to perform desired functions.

[0144] The memory 642 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 641 may run the program instructions to implement the control method of each embodiment of the present application described above and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage medium.

[0145] In one example, the electronic device 640 may further include: an input device 643 and an output device 6404 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0146] When the controller is a stand-alone device, the input device 643 may be a communication network connector for receiving collected input signals from the first device and the second device.

[0147] In addition, the input device 643 may also include, for example, a keyboard, a mouse, etc.

[0148] The output device 6404 can output various information to the outside, including determined distance information, direction information, etc. The output device 6404 can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, and the like.

[0149] Of course, to simplify, Fig.12 Only some of the components related to the present application in the electronic device 640 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application conditions, the electronic device 640 may also include any other appropriate components.

[0150] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0151] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0152] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A charging early warning method, characterized in that: include: Acquire current parameter data; wherein the current parameter data represents parameter data affecting the charging operation of the current electrical device; According to the current parameter data and the historical parameter data, real parameter data is obtained; wherein the historical parameter data represents parameter data corresponding to the current parameter data within a first preset time period in the past; Obtaining a charging safety weighted value according to the real parameter data; and According to the charging safety weighted value and the safety threshold range, a signal indicating normal charging or an alarm signal indicating abnormal charging is output.

2. The charging warning method according to claim 1, characterized in that: The obtaining of current parameter data comprises: Acquiring the current parameter data in different time periods; The obtaining of the real parameter data according to the current parameter data and the historical parameter data comprises: According to the current parameter data in different time periods and the corresponding historical parameter data, the real parameter data in different time periods are obtained; The obtaining of the charging safety weighted value according to the real parameter data comprises: Obtaining the charging safety weighted value in different time periods according to the real parameter data in different time periods; Outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range includes: According to the charging safety weighted values ​​in different time periods and the safety threshold ranges in different time periods, a signal indicating normal charging or an alarm signal indicating abnormal charging is output.

3. The charging warning method according to claim 1, characterized in that: The current parameter data includes current environmental parameter data, current charging pile charging parameter data and current power-consuming device battery parameter data; the real parameter data includes real environmental parameter data, real charging pile charging parameter data and real power-consuming device battery parameter data; The obtaining of current parameter data comprises: Acquire the current environmental parameter data; Obtaining charging parameter data of the current charging pile; and Obtaining battery parameter data of the current power-consuming device; The obtaining of the real parameter data according to the current parameter data and the historical parameter data comprises: According to the current environmental parameter data, the current charging pile charging parameter data, the battery parameter data of the current electric device and the historical parameter data, the real environmental parameter data, the real charging pile charging parameter data and the real electric device battery parameter data are obtained; The obtaining of the charging safety weighted value according to the real parameter data comprises: The charging safety weighted value is obtained according to the real environment parameter data, the real charging pile charging parameter data and the real power-consuming equipment battery parameter data.

4. The charging warning method according to claim 3, characterized in that: The obtaining of current environmental parameter data includes: The current environment temperature value and the current particle concentration are acquired, and the current environment temperature value and the current particle concentration are used as the current environment parameter data.

5. The charging warning method according to claim 3, characterized in that: The obtaining of the current charging pile charging parameter data comprises: The current charging voltage, current charging current and current temperature of the power bus of the charging pile are obtained, and the current charging voltage, current charging current and current temperature of the power bus are used as the current charging parameter data of the charging pile.

6. The charging warning method according to claim 3, characterized in that: The method of obtaining the battery parameter data of the current power-consuming device includes: Obtaining the identification number of the current power-consuming device; A safe charging curve of the current power-consuming device is obtained according to the identification number, and the safe charging curve is used as the battery parameter data of the current power-consuming device.

7. The charging warning method according to claim 1, characterized in that: Before outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range, the charging early warning method further includes: Obtaining a current time period corresponding to the current parameter data; and According to the current time period and the historical threshold range, the safety threshold range within the current time period is obtained; Outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range includes: A signal indicating normal charging or an alarm signal indicating abnormal charging is output according to the charging safety weighted value and the safety threshold range in the current time period.

8. The charging warning method according to claim 1, characterized in that: Outputting a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range includes: If the charging safety weighted value is within the safety threshold range, a signal indicating normal charging is output; or, If the charging safety weighted value is outside the safety threshold range, an alarm signal indicating charging abnormality is output, and the charging pile is controlled to stop charging.

9. A charging warning device, characterized in that: include: A first acquisition module is configured to acquire current parameter data; wherein the current parameter data represents parameter data that affects the current charging operation of the electrical device; A first calculation module is configured to obtain real parameter data according to the current parameter data and historical parameter data; wherein the historical parameter data represents parameter data corresponding to the current parameter data within a first preset time period in the past; A second calculation module is configured to obtain a charging safety weighted value according to the real parameter data; The first output module is configured to output a signal indicating normal charging or an alarm signal indicating abnormal charging according to the charging safety weighted value and the safety threshold range.

10. A charging shed, characterized in that: include: Shed body; A plurality of charging piles are arranged in the shed; A plurality of sensors are arranged in the shed; An electronic device is communicatively connected to the multiple charging piles and the multiple sensors, and the electronic device is configured to execute the charging warning method according to any one of claims 1 to 8.