Charging pile safety monitoring system, module, method and equipment based on Internet of Things

Abstract

The invention relates to the technical field of intelligent fire fighting and charging facility safety monitoring, in particular to a charging pile safety monitoring system, module, method and equipment based on the Internet of Things, and the system comprises a front-end sensing module which monitors working state data and environment parameter data in real time, and a data transmission module which transmits the data to a cloud processing center. The cloud processing center obtains the data processing level and the corresponding data result, compares the data processing level with a preset processing level, sequentially sends the data result to the terminal display device according to the data processing level if the data processing level is greater than the preset processing level, and sends the data result to the terminal display device if the cloud processing center determines that the processing operation needs support. And if so, generating a support signal and sending the support signal to the terminal display device. According to the invention, the state of the charging pile can be continuously monitored in an all-weather manner, the probability of danger caused by abnormality of the charging pile is greatly reduced, the possibility of human intervention is reduced, and the user experience is improved.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent fire protection and charging facility safety monitoring, and in particular to a charging pile safety monitoring system, module, method and equipment based on the Internet of Things. Background Art

[0002] Charging piles refer to charging devices that provide energy for electric vehicles. Their functions are similar to those of gas pumps in gas stations. They can be fixed on the ground or on the wall and installed in public buildings, such as public buildings, shopping malls, public parking lots, etc., and in parking lots or charging stations in residential areas. They can charge various types of electric vehicles according to different voltage levels. With the current development of electric vehicles, the demand for indoor charging piles is increasing, but factors such as unstable battery characteristics make charging piles pose a greater fire risk, which puts higher requirements on their safety management.

[0003] The existing charging pile safety monitoring device based on the Internet of Things specifically uses a PLC controller, a voltage sensor and an alarm. The voltage sensor monitors the voltage in contact with the external battery assembly, and cooperates with the alarm and the PLC controller to issue an alarm when the detection value exceeds the preset value.

[0004] However, there are many charging pile safety monitoring devices on the market, most of which rely on a single sensor or manual inspection, and cannot achieve comprehensive and real-time monitoring and early warning. In addition, traditional methods are also relatively backward in data processing and fault diagnosis, and it is difficult to meet the requirements of modern intelligent safety management. Therefore, it is of great significance to develop an efficient and reliable charging pile fire safety system based on the Internet of Things. Summary of the invention

[0005] In order to meet the requirements of modern intelligent safety management and improve the comprehensive and real-time monitoring and early warning of charging piles, the present application provides a charging pile safety monitoring system, module, method and equipment based on the Internet of Things.

[0006] In the first aspect, the present application provides a charging pile safety monitoring system based on the Internet of Things, which adopts the following technical solutions: A charging pile safety monitoring system based on the Internet of Things, comprising a front-end sensing module, a data transmission module, a cloud processing center and a terminal display device, wherein the front-end sensing module is used to monitor in real time the working status data inside a plurality of charging piles and the indoor environmental parameter data, the data transmission module is connected to the front-end sensing module through a network to receive the working status data and the environmental parameter data, and the data transmission module is connected to the cloud processing center through a network, and the working status data and the environmental parameter data are sent to the cloud processing center based on wireless communication technology; The cloud processing center is used to screen the received working status data and the environmental parameter data to obtain a data processing level and a corresponding data result, compare the data processing level with a preset processing level, and determine whether the data processing level is greater than the preset processing level. If the data processing level is greater than the preset processing level, the cloud processing center sends the corresponding data results to the terminal display device in sequence according to the data processing level, and the data results include information to be processed and a processing priority level corresponding to the information to be processed. The cloud processing center is also used to determine whether a processing operation requires support based on the information to be processed and the processing priority level. If the cloud processing center determines that the processing operation requires support, a support signal is generated and the support signal is sent to the terminal display device; The terminal display device receives the data results in sequence and displays them in the order of receipt, and when the terminal display device receives the support signal, it displays it in a preset warning mode until the staff receives and responds.

[0007] By adopting the above technical solution, the front-end perception module monitors the charging pile's own data and surrounding data to obtain the working status data and environmental parameter data. The data transmission module sends the working status data and environmental parameter data to the cloud processing center for processing based on wireless communication. The cloud processing center is used to perform preliminary screening on the acquired data to obtain the data processing level and the corresponding data results, obtain the data to be displayed based on the data processing level, and send the data to be displayed to the terminal display device in time, thereby realizing all-weather uninterrupted monitoring of the charging pile status and greatly reducing the probability of danger caused by abnormal charging piles. In addition, the cloud processing center can determine whether the processing operation needs support through analysis of the information to be processed, and can quickly deal with problems existing in indoor charging piles, improve the management of indoor charging piles, reduce the possibility of human intervention, and enhance user experience.

[0008] In one embodiment, the data results also include information to be maintained and a corresponding maintenance priority level. The cloud processing center is also used to determine whether a maintenance operation needs to be initiated based on the information to be processed. If it is determined that a maintenance operation needs to be initiated, the information to be maintained is sent to the terminal display device according to its corresponding maintenance priority level.

[0009] By adopting the above technical solution, it is determined whether a maintenance operation needs to be started based on the information to be processed. If it is determined that a maintenance operation needs to be started, the maintenance operation can be started, which can improve the utilization efficiency of indoor charging piles, reduce the occurrence of failures of charging piles during use, and improve user experience.

[0010] In one embodiment, it also includes a video monitoring module, which is used to perform real-time video monitoring of indoor charging piles to obtain monitoring data, and send the monitoring data to the cloud processing center; the data results include monitoring time, and the cloud processing center performs video interception on the monitoring data based on the monitoring time to obtain the corresponding video to be processed, and updates the environmental parameter data based on the video to be processed.

[0011] By adopting the above technical solution, all charging piles in the room are monitored in real time based on the video surveillance module, and the monitoring data is processed by the cloud processing center to intercept the processed video corresponding to the monitoring time. Through video monitoring, the accuracy of the data results obtained by the cloud processing center is improved, and the processed information caused by human operation is reduced, thereby improving the overall security of the system and the data processing efficiency of the cloud processing center.

[0012] In one embodiment, it also includes an acoustic wave monitoring module, the front-end sensing module includes a charging monitoring unit, the charging monitoring unit is used to determine whether the current charging pile is in a charging state, if it is determined that the current charging pile is in a charging state, the charging monitoring unit generates a charging signal, and sends the charging signal to the acoustic wave monitoring module; The acoustic wave monitoring module receives the charging signal and responds to the charging signal to monitor the noise data of the current charging pile in real time, and sends the noise data to a cloud processing center. The cloud processing center analyzes the noise data to obtain noise analysis data, and updates the working status data based on the noise analysis data.

[0013] By adopting the above technical solution, when the charging pile is charging, timely monitoring based on the acoustic wave monitoring module can be performed, and data anomalies occurring during the charging process of the charging pile can be monitored, and the data results can be updated in time to facilitate the staff's discovery so that they can be handled in time.

[0014] In one embodiment, if the charging monitoring unit determines that the current charging pile is not in a charging state, it generates a sound wave monitoring signal and sends the sound wave monitoring signal to the sound wave monitoring module. The sound wave monitoring module periodically obtains the sound wave data of the current charging pile and sends the sound wave data to the cloud processing center. The cloud processing center compares the sound wave data with a preset sound wave threshold to obtain a sound wave monitoring result, and updates the working status data according to the sound wave monitoring result.

[0015] By adopting the above technical solution, when the charging pile is not charging, real-time monitoring using the acoustic wave monitoring module can obtain data results in a timely manner, and the charging pile can be maintained before charging, which significantly enhances the ability to predict and eliminate faults and extends the service life of the charging pile.

[0016] In one embodiment, it also includes a data storage module, which is network-connected to the data transmission module, and the data storage module is network-connected to the cloud processing center. The data storage module stores the working status data and the environmental parameter data sent by the data transmission module based on blockchain technology to obtain storage data. The cloud processing center regularly processes the storage data to obtain storage results, compares the storage results with the data results, and determines whether the storage results are similar to the data results. If it is determined that the storage results are not similar to the data results, a data error signal is generated, and the storage results are sent to the cloud processing center to update the data results.

[0017] By adopting the above technical solution, the data storage module combines blockchain technology to record the historical records of each charging of the charging pile, ensuring the authenticity and non-tamperability of the data, and then ensuring the accuracy of the data results, thereby enhancing the ability to predict and eliminate faults and extending the service life of the charging pile.

[0018] In the second aspect, the present application provides a charging pile safety monitoring module based on the Internet of Things, which adopts the following technical solutions: A charging pile safety monitoring module based on the Internet of Things, the cloud processing center includes a first processing module, a second processing module, a third processing module and a data analysis module, the first processing module is used to screen according to the working status data and the environmental parameter data to obtain a data processing level and a corresponding data result, compare the data processing level with a preset processing level, and determine whether the data processing level is greater than the preset processing level. If the data processing level is greater than the preset processing level, the first processing module sends the corresponding data result to the terminal display device in sequence according to the data processing level, and the data result includes information to be processed and a processing priority level corresponding to the information to be processed. The first processing module is also used to determine whether a processing operation needs support based on the information to be processed and the processing priority level. If the first processing module determines that the maintenance operation needs support, a support signal is generated and the support signal is sent to the terminal display device; The second processing module is used to perform video interception on the monitoring data according to the monitoring time to obtain a corresponding video to be processed, and update the environmental parameter data according to the video to be processed; The third processing module is used to analyze the noise data to obtain noise analysis data, and update the working status data according to the noise analysis data; The data analysis module is used to perform data analysis based on the working status data, the environmental parameter data, the noise data and the sound wave data to obtain a data prediction model corresponding to each charging pile, and obtain corresponding estimated data in the data prediction model based on the working status data and the environmental parameter data obtained in real time, and update the data results based on the estimated data.

[0019] By adopting the above technical solutions and obtaining data prediction models based on data analysis technology and machine learning algorithms, the ability to predict and eliminate faults is significantly enhanced, and the service life of charging piles is extended.

[0020] In a third aspect, the present application provides a charging pile safety monitoring method based on the Internet of Things, which adopts the following technical solutions: A charging pile safety monitoring method based on the Internet of Things includes the following steps: Screening the acquired working status data and the acquired environmental parameter data to obtain a data processing level and a corresponding data result; Comparing the data processing level with a preset processing level, and determining whether the data processing level is greater than the preset processing level; If the data processing level is greater than the preset processing level, the corresponding data results are sent to the terminal display device in sequence according to the data processing levels, wherein the data results include information to be processed and a processing priority level corresponding to the information to be processed; Determining whether the processing operation requires support based on the information to be processed and the processing priority level, and if it is determined that the maintenance operation requires support, generating a support signal, and sending the support signal to a terminal display device; Performing video interception on the monitoring data according to the monitoring time to obtain a corresponding video to be processed, and updating the environmental parameter data according to the video to be processed; The noise data is analyzed to obtain noise analysis data, and the working status data is updated according to the noise analysis data.

[0021] In one embodiment, the environmental parameter data includes the ambient temperature, the working state parameter includes the uncharged temperature value corresponding to the current charging pile, the charging temperature rise value within the first specified time, and the temperature drop value within the second specified time after the charging is completed, and the screening based on the working state data and the environmental parameter data to obtain the data results includes the following steps: Comparing the uncharged temperature value with a first preset value, and determining whether the uncharged temperature value exceeds the first preset value; If the uncharged temperature value exceeds the first preset value, the corresponding ambient temperature is compared with a preset standard room temperature; If the ambient temperature is greater than the preset standard room temperature, a standby signal is generated, and all charging piles are marked for processing based on the standby signal; If the ambient temperature is not greater than the standard room temperature, the current charging pile is determined to be unsuitable for charging, a maintenance mark is performed on the current charging pile, and a data result is obtained according to the power-off mark; Compare the charging temperature rise value with a second preset value, and if the charging temperature rise value is greater than the second preset value, mark the current charging pile for processing to update the data result; The temperature drop value is compared with a third preset value. If the temperature drop value is greater than the third preset value, a maintenance mark is performed on the current charging pile to update the data result.

[0022] By adopting the above technical scheme, the uncharged temperature of the current charging pile is compared with the first preset value. If the uncharged temperature is higher than the first preset value, it is determined that the temperature of the current charging pile is too high. Excluding the excessively high ambient temperature, the current charging pile needs to be marked for maintenance. If the ambient temperature is too high, all charging piles need to be marked for processing and heat dissipation operations need to be performed. In addition, through the analysis of the charging temperature rise value and the temperature drop value, the specific values ​​of the current charging pile during charging and at the end of charging are estimated in advance, and then the charging pile is monitored in real time, further improving the monitoring intensity of the charging pile, and realizing all-weather uninterrupted monitoring of the charging pile status.

[0023] In a fourth aspect, the present application provides a device, which adopts the following technical solution: The device comprises a memory and a processor coupled to each other, wherein the memory stores a computer program that can be run on the processor; When the computer program is executed by the processor, the charging pile safety monitoring method based on the Internet of Things described in the third aspect is implemented.

[0024] In summary, the present application includes at least one of the following beneficial technical effects: 1. The front-end perception module monitors the charging pile's own data and surrounding data to obtain the working status data and environmental parameter data. The data transmission module sends the working status data and environmental parameter data to the cloud processing center for processing based on wireless communication. The cloud processing center is used to preliminarily screen the acquired data to obtain the data processing level and the corresponding data results. The data results are based on the data processing level to obtain the data to be displayed, and the data to be displayed is sent to the terminal display device in a timely manner, realizing all-weather uninterrupted monitoring of the charging pile status, greatly reducing the probability of danger caused by abnormal charging piles; 2. In addition, the cloud processing center can quickly handle problems with indoor charging piles by analyzing the information to be processed and judging whether the processing operation needs support, thereby improving the management of indoor charging piles, reducing the possibility of human intervention, and improving user experience; 3. When the charging pile is not charging, the real-time monitoring of the acoustic wave monitoring module can obtain data results in time, and the charging pile can be maintained before charging, which significantly enhances the ability to predict and eliminate faults and extends the service life of the charging pile. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a structural diagram of a monitoring system provided in an embodiment of the present application; Figure 2 is a structural diagram of a cloud processing center provided in an embodiment of the present application; Figure 3 is a block diagram of the monitoring method provided in an embodiment of the present application; Figure 4 is another method block diagram provided by the present application; Figure 5 It is a diagram of the device structure provided in the embodiment of the present application.

[0026] Explanation of the accompanying drawings: 10. Front-end sensing module; 11. Charging monitoring unit; 20. Data transmission module; 30. Cloud processing center; 31. First processing module; 32. Second processing module; 33. Third processing module; 34. Data analysis module; 40. Terminal display device; 50. Video monitoring module; 60. Sound wave monitoring module; 70. Data storage module; 81. Processor; 82. Memory; 83. Computer program. DETAILED DESCRIPTION

[0027] To more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. However, it should be understood by those of ordinary skill in the art that the present application can be implemented without these details. In some cases, in order to avoid unnecessary descriptions that make various aspects of the present application obscure, well-known methods, processes, systems, components and / or circuits that have been described at a higher level will not be described in detail. For those of ordinary skill in the art, it is obvious that various changes can be made to the embodiments disclosed in the present application, and without departing from the principles and scope of the present application, the general principles defined in the present application can be applied to other embodiments and application scenarios. Therefore, the present application is not limited to the embodiments shown, but conforms to the broadest scope consistent with the scope claimed for protection of the present application.

[0028] The embodiment of the present application discloses a charging pile safety monitoring system based on the Internet of Things.

[0029] like Figure 1 As shown, a charging pile safety monitoring system based on the Internet of Things includes a front-end sensing module 10, a data transmission module 20, a cloud processing center 30 and a terminal display device 40. The front-end sensing module 10 includes a variety of sensors installed inside and around the charging pile, such as temperature and humidity sensors, gas leakage detectors, flame detectors, etc. The temperature and humidity sensors are used to monitor the indoor temperature and indoor humidity in real time, the gas leakage detectors are used to monitor the surrounding gas concentration, and the flame detectors are used to monitor whether there is a flame in the room. Through the monitoring of the charging pile and the room by the front-end sensing module 10, the working status data and the indoor environmental parameter data are obtained.

[0030] Among them, the working status data represents the data existing in the charging pile when it is charging and not charging, including real-time charging data, location information, charging pile coding information, charging status, etc. The environmental parameter data includes indoor temperature, indoor humidity and gas concentration.

[0031] It should be noted that in order to improve the accurate monitoring of various data, in this embodiment, the temperature and humidity sensor selects the HTU21D model, and the sensor has the characteristics of small size, low power consumption, and accurate measurement. The gas leak detector uses the MQ-4 methane gas sensor, which is suitable for natural gas leak detection. The flame detector uses a UV-IR composite flame detector, which can reliably identify the fire source in a variety of environments.

[0032] The data transmission module 20 is connected to the front-end sensing module 10 via a network to receive working status data and environmental parameter data, and the data transmission module 20 is connected to the cloud processing center 30 via a network to send the working status data and environmental parameter data to the cloud processing center 30 based on wireless communication technology.

[0033] It should be noted that the data transmission module 20 uses wireless communication technology, such as Wi-Fi, LoRa, etc., to upload the data collected by the sensor to the cloud processing center 30 so that the cloud processing center 30 can perform subsequent data processing. The data transmission module 20 includes a wireless communication module, which can be specifically set according to the data transmission distance. In order to enable long-distance transmission, in this embodiment, an ESP8266 Wi-Fi module is used to support the TCP / IP protocol stack. For some specific places, a higher-power communication module can be used to expand the signal coverage.

[0034] The cloud processing center 30 is used to screen the received working status data and environmental parameter data to obtain the data processing level and the corresponding data results, compare the data processing level with the preset processing level, and determine whether the data processing level is greater than the preset processing level. If the data processing level is greater than the preset processing level, the cloud processing center 30 sends the corresponding data results to the terminal display device 40 in sequence according to the data processing level. The cloud processing center 30 is also used to determine whether the processing operation requires support based on the information to be processed and the processing priority level. If the cloud processing center 30 determines that the processing operation requires support, it generates a support signal and sends the support signal to the terminal display device 40.

[0035] Among them, the data processing level represents the level at which different charging piles need to be checked. The higher the level, the data results corresponding to the charging pile need to be checked first, and the charging pile is processed according to the information to be processed. The preset processing level represents the lowest level that needs to be checked, and the data results represent various data obtained by monitoring the charging pile. The data results include the information to be processed and the processing priority level corresponding to the information to be processed. The information to be processed represents the data that the charging pile needs to process, and the processing priority level represents the priority level of each information to be processed. The information to be processed includes the content to be processed and the location of the charging pile to be processed.

[0036] The cloud processing center 30 collects statistics on the pending information whose processing priority exceeds the preset processing level to obtain the total amount to be processed, and compares the total amount to be processed with the preset total amount. If the total amount to be processed exceeds the preset total amount, it is determined that the processing operation needs to be supported. In addition, if the total amount to be processed is less than the preset total amount, it is determined that the processing operation does not need to be supported.

[0037] The preset total amount can be set according to the specific situation. The actual analysis can be carried out according to the number of people monitored every day and the difficulty of processing the information to be processed, and then the corresponding preset total amount can be set.

[0038] It should be noted here that each charging pile corresponds to a data processing level. If the data processing level of the charging pile is less than or equal to the preset processing level, the cloud processing center 30 will not send the data results corresponding to the charging pile to the terminal display device 40. Through the preliminary screening of the cloud processing center 30, the data with a risk factor of 0 will be eliminated, and the data with potential dangers will be processed, thereby improving the overall data processing efficiency, facilitating timely detection of dangers, and enhancing fault prediction.

[0039] The data processing level can be obtained by performing a preliminary analysis based on the working status data and the environmental parameter data. Since the working status data includes the charging status and the standby status, and the environmental parameter data includes the indoor temperature, indoor humidity and gas concentration, the charging status, the standby status, the indoor temperature, the indoor humidity and the gas concentration are compared with the corresponding preset data to obtain the corresponding data processing level.

[0040] The preset processing level of this embodiment is set to 0. The specific process is as follows: compare the charging state with the preset charging state. If the charging state is similar to the preset charging state, it is determined that the charging condition of the charging pile is good, and the corresponding charging state of the charging pile is marked as 1. If the charging state is not similar to the preset charging state, it is marked according to the degree of dissimilarity, and completely dissimilar is marked as 0. The machine state, indoor temperature, indoor humidity and gas concentration are all marked according to this method. Finally, several groups of marked values ​​formed by all data are detected. If all the marked values ​​are 1, it is determined that the data processing level corresponding to the charging pile is 0, and the charging pile does not need to be checked, and only needs to continue monitoring. The degree of dissimilarity mentioned here is specifically based on the prior art to make a difference judgment on the two groups of data, and no excessive description is given here.

[0041] It should be noted that the cloud processing center 30 includes a processor 81, and the terminal display device 40 includes a mobile phone APP or a computer client. The staff can view the current display data of the charging pile in real time through the charging pile status displayed by the mobile phone APP or the computer client, which is convenient for the management personnel to view and operate in time. The preset warning mode is characterized by full screen display and long-term display of maintenance support. In addition, the display data is specifically displayed according to the state with a higher risk factor. At the same time, in order to enable the management personnel to manage in time, the charging pile with a higher risk factor needs to be powered off, and it is displayed in red text on the operation platform.

[0042] It should be noted here that in order to be able to comprehensively monitor indoor charging piles, different types of sensor combinations can be replaced according to different indoor environments. For areas where sunlight monitoring is required, a light intensity sensor head can be installed. For areas where carbon dioxide monitoring is required, a carbon dioxide concentration meter can be installed, etc. The specific situation needs to be analyzed specifically, and they will not be listed here one by one. It is sufficient to send the various monitoring data obtained by the front-end sensing module 10 to the cloud processing center 30 for processing via the data transmission module 20.

[0043] In addition, during daily operation and maintenance, the sensor surface needs to be cleaned regularly to prevent dust from clogging and affecting performance; in case of bad weather, outdoor charging piles should be closed in time to prevent accidents.

[0044] In summary, when the charging pile starts working, the front-end sensing module 10 is started, and each sensor continuously monitors the working status and surrounding environmental conditions of the charging pile. The collected data is sent to the cloud processing center 30 via the data transmission module 20. The cloud processing center 30 organizes the data and extracts features to obtain the data processing level and the corresponding data results, compares the data processing level with the preset processing level, and determines whether the data processing level is greater than the preset processing level. If the data processing level is greater than the preset processing level, the cloud processing center 30 sends the corresponding data results to the terminal display device 40 in sequence according to the data processing level, and the data results include information to be processed and the processing priority level corresponding to the information to be processed. The cloud processing center 30 is also used to determine whether the processing operation needs support based on the information to be processed and the processing priority level. If the cloud processing center 30 determines that the processing operation needs support, a support signal is generated and the support signal is sent to the terminal display device 40.

[0045] It should be noted here that before using the monitoring system, it is necessary to set the threshold values ​​of various parameters of the system, which specifically include the following steps. First, it is necessary to ensure that all hardware devices are correctly installed and connected to the power supply, configure the network parameters, and enable the wireless communication module to access the Internet normally; then, log in to the terminal display device 40 and enter the main interface of the terminal display device 40; the main interface of the terminal display device 40 includes "Add New Device", click "Add New Device", and enter the number of each charging pile and its corresponding parameter threshold according to the prompts, for example, set alarm rules, including temperature upper limit, gas concentration threshold, etc.; start the system service and officially put it into use.

[0046] In one embodiment, the data results also include information to be maintained and the corresponding maintenance priority level. The cloud processing center 30 is also used to determine whether it is necessary to initiate a maintenance operation based on the information to be processed. If it is determined that a maintenance operation needs to be initiated, the information to be maintained is sent to the terminal display device 40 according to its corresponding maintenance priority level.

[0047] The information to be maintained represents the information that the charging pile needs to be maintained, the maintenance priority level represents the degree to which the charging pile needs to be maintained first, and the information to be maintained includes the content that needs to be maintained and the location of the charging pile to be maintained.

[0048] The cloud processing center 30 is also used to determine whether a maintenance operation needs to be initiated based on the information to be processed, specifically by comparing the total amount to be processed with the preset maintenance total amount. If the total amount to be processed is less than the preset maintenance total amount, it is determined that the maintenance operation needs to be initiated. The preset maintenance total amount mentioned here represents the minimum amount of the total amount to be processed for initiating the maintenance operation.

[0049] In one of the embodiments, it also includes a video monitoring module 50, which is used to perform real-time video monitoring of indoor charging piles to obtain monitoring data and send the monitoring data to the cloud processing center 30; the data results include monitoring time, and the cloud processing center 30 performs video interception on the monitoring data based on the monitoring time to obtain the corresponding video to be processed, and updates the environmental parameter data based on the video to be processed.

[0050] Among them, the monitoring data represents the real-time video data of the indoor charging pile, the monitoring time represents the monitoring time corresponding to the information to be processed or the information to be maintained, and the video to be processed represents the video data existing at the monitoring time.

[0051] Updating environmental parameter data based on the video to be processed specifically includes the following steps: during the monitoring time, determining whether there is human influence in the video to be processed; if it is determined that there is human influence based on the video to be processed, there will be errors in the working status data of the charging pile. At this time, it is necessary to re-collect the working status data of the charging pile and further process the data to replace the environmental parameter data.

[0052] It should be noted here that since the working status data and environmental parameter data are monitored in real time, when it is determined that there is human influence during the monitoring time and data collection is required for the charging pile, how to process the data of the remaining charging piles, the time for re-collection and processing here should be less than the time for regular data processing.

[0053] In one embodiment, the cloud processing center 30 is also used to analyze the monitoring data one by one to obtain abnormal data, analyze the abnormal data to obtain a response plan, and update the display data according to the response plan.

[0054] Among them, abnormal data represents dangerous situations that exist indoors. The specific way to obtain it is to first obtain video change data based on monitoring data, match the video change data in a preset database, and if the matching degree reaches 60%, the data is determined to be abnormal data, and the abnormal data is analyzed. The response plan represents different processing plans presented for different abnormal data. If the abnormal data is an irregular human operation, prompts and guidance are given through voice. If the abnormal data is human damage, a warning is given through voice, and the face image is obtained, and a human warning is given; if the abnormal data is a dangerous operation, a power-off operation signal is generated, and the charging pile is controlled to be powered off according to the power-off operation signal, and the dangerous operation position and the human image are updated in the display data of the corresponding charging pile, and displayed to guide the staff to perform human intervention.

[0055] It should be noted here that if each frame of abnormal data is processed, the data processing time will increase. In order to reduce the processing time of the video, this application screens the entire monitoring data and uses the videos of some time periods when the interface changes as video change data.

[0056] In one embodiment, it also includes an acoustic wave monitoring module 60, and the front-end sensing module 10 includes a charging monitoring unit 11, and the charging monitoring unit 11 is used to determine whether the current charging pile is in a charging state. If it is determined that the current charging pile is in a charging state, the charging monitoring unit 11 generates a charging signal and sends the charging signal to the acoustic wave monitoring module 60; The acoustic wave monitoring module 60 receives the charging signal and responds to the charging signal to monitor the noise data of the current charging pile in real time, and sends the noise data to the cloud processing center 30. The cloud processing center 30 analyzes the noise data to obtain noise analysis data, and updates the working status data based on the noise analysis data.

[0057] Among them, the charging signal represents the signal that the charging pile is in a charging state, which is specifically generated by the charging monitoring unit 11, and the charging signal is sent to the sound wave monitoring module 60. The noise analysis data includes the noise results and the processing method corresponding to the noise results, and the noise results and the processing method are added to the working status data.

[0058] It should be noted here that the cloud processing center 30 analyzes the noise data, specifically, compares the noise data with the preset charging noise data. If the noise data is similar to the preset charging noise data, it is determined that the charging pile is normal during charging, and the noise result is good, and the label of the processing method is recorded as standard. If the noise data is not similar to the preset charging noise data, it is determined that the charging pile is abnormal during charging, and the noise result is poor, and the label of the processing method is recorded as processing. Finally, the working status data is updated according to the noise result and the processing method.

[0059] The specific comparison of the noise data with the preset charging noise data is mainly to make a similar comparison of the audio at the same time, and the comparison is made using existing technology, which will not be elaborated here.

[0060] In one embodiment, if the charging monitoring unit 11 determines that the current charging pile is not in a charging state, it generates a sound wave monitoring signal and sends the sound wave monitoring signal to the sound wave monitoring module 60. The sound wave monitoring module 60 periodically obtains the sound wave data of the current charging pile and sends the sound wave data to the cloud processing center 30. The cloud processing center 30 compares the sound wave data with a preset sound wave threshold to obtain a sound wave monitoring result, and updates the working status data according to the sound wave monitoring result.

[0061] Among them, the sound wave monitoring signal represents the signal generated by monitoring an uncharged charging pile, the preset sound wave threshold represents the normal audio of an uncharged charging pile, and the sound wave monitoring result includes result data and response plan.

[0062] It should be noted here that the cloud processing center 30 analyzes the noise data, specifically comparing the sound wave data with the preset sound wave threshold. If the sound wave data is similar to the preset sound wave threshold, the charging pile is judged to be normal, the result data is good, and the label of the corresponding solution is recorded as standard. If the sound wave data is not similar to the preset sound wave threshold, the charging pile is judged to be abnormal, the result data is poor, and the label of the corresponding solution is recorded as maintenance. Finally, the working status data is updated according to the result data and the corresponding solution.

[0063] In one embodiment, it also includes a data storage module 70, which is connected to the data transmission module 20 through a network, and the data storage module 70 is connected to the cloud processing center 30 through a network. The data storage module 70 stores the working status data and environmental parameter data sent by the data transmission module 20 based on the blockchain technology to obtain the stored data. The cloud processing center 30 regularly processes the stored data to obtain the stored results, compares the stored results with the data results, and determines whether the stored results are similar to the data results. If it is determined that the stored results are not similar to the data results, a data error signal is generated, and the stored results are sent to the cloud processing center 30 to update the data results.

[0064] The storage result represents the processing result obtained based on the stored data, the storage result and the data result are of the same type, and the data error signal represents that the working status data or environmental parameter data obtained by the cloud processing center 30 has an error, resulting in an inaccurate data result, and the data needs to be adjusted and re-analyzed to obtain the data result. It should be noted that the data storage module 70 includes a memory 82.

[0065] The implementation principle is: When the charging pile starts working, the front-end sensing module 10 is started, and each sensor continuously monitors the working status and surrounding environmental conditions of the charging pile. The collected data is sent to the cloud processing center 30 via the data transmission module 20. The cloud processing center 30 organizes the data and extracts features to obtain the data processing level and the corresponding data results, compares the data processing level with the preset processing level, and determines whether the data processing level is greater than the preset processing level. If the data processing level is greater than the preset processing level, the cloud processing center 30 sends the corresponding data results to the terminal display device 40 in sequence according to the data processing level, and the data results include information to be processed and the processing priority level corresponding to the information to be processed. The cloud processing center 30 is also used to determine whether the processing operation needs support based on the information to be processed and the processing priority level. If the cloud processing center 30 determines that the processing operation needs support, a support signal is generated and sent to the terminal display device 40.

[0066] The embodiment of the present application also discloses a charging pile safety monitoring module based on the Internet of Things.

[0067] Reference Figure 1 and Figure 2 , a charging pile safety monitoring module based on the Internet of Things, the cloud processing center 30 includes a first processing module 31, a second processing module 32, a third processing module 33 and a data analysis module 34, the first processing module 31 is used to screen according to the working status data and the environmental parameter data to obtain the data processing level and the corresponding data results, compare the data processing level with the preset processing level, and determine whether the data processing level is greater than the preset processing level. If the data processing level is greater than the preset processing level, the first processing module 31 sends the corresponding data results to the terminal display device 40 in sequence according to the data processing level, and the data result package The first processing module 31 includes information to be processed and a processing priority level corresponding to the information to be processed. The first processing module 31 is also used to determine whether the processing operation requires support based on the information to be processed and the processing priority level. If the first processing module 31 determines that the maintenance operation requires support, a support signal is generated and the support signal is sent to the terminal display device 40; the second processing module 32 is used to capture the video of the monitoring data according to the monitoring time to obtain the corresponding video to be processed, and update the environmental parameter data according to the video to be processed; the third processing module 33 is used to analyze the noise data to obtain noise analysis data, and update the working status data according to the noise analysis data.

[0068] It should be noted here that the data results, data processing levels, preset processing levels, support signals, videos to be processed and noise analysis data, as well as the updating of environmental parameter data based on the videos to be processed and the updating of working status data based on the noise analysis data are similar to the description of the charging pile safety monitoring system based on the Internet of Things, so we will not go into details here.

[0069] The data analysis module 34 is used to perform data analysis based on the working status data, environmental parameter data, noise data and sound wave data to obtain a data prediction model corresponding to each charging pile, and obtain corresponding estimated data in the data prediction model based on the working status data and environmental parameter data obtained in real time, and update the data results based on the estimated data.

[0070] Among them, the data prediction model represents the prediction model obtained based on data training, and the estimated data represents the data obtained based on the data prediction model. The estimated data can be used to predict the current state of the charging pile in advance, so that the charging pile can be maintained in advance, which significantly enhances the ability to predict and eliminate faults and extends the service life of the charging pile. It should be noted here that the data prediction model can be based on a conventional target detection network, such as RFCN / SSD / RCNN / FastRCNN / FasterRCNN / SPPNet / DPM / OverFeat / YOLO, etc.

[0071] The embodiment of the present application also discloses a charging pile safety monitoring method based on the Internet of Things.

[0072] Reference Figure 1 and Figure 3 , a charging pile safety monitoring method based on the Internet of Things, used in a cloud processing center 30, comprises the following steps: S100, screening the acquired working status data and environmental parameter data to obtain a data processing level and a corresponding data result; S200, comparing the data processing level with the preset processing level, and determining whether the data processing level is greater than the preset processing level; S300, if the data processing level is greater than the preset processing level, the corresponding data results are sent to the terminal display device 40 in sequence according to the data processing level, wherein the data results include the information to be processed and the processing priority level corresponding to the information to be processed; S400, judging whether the processing operation requires support based on the information to be processed and the processing priority level, and if it is determined that the maintenance operation requires support, generating a support signal, and sending the support signal to the terminal display device 40; S500, performing video interception on the monitoring data according to the monitoring time to obtain the corresponding video to be processed, and updating the environmental parameter data according to the video to be processed; S600: Analyze the noise data to obtain noise analysis data, and update the working status data according to the noise analysis data.

[0073] Among them, it should be noted that the data results, data processing level, preset processing level, support signal, video to be processed and noise analysis data, as well as updating environmental parameter data based on video to be processed and updating working status data based on noise analysis data are similar to the description of the charging pile safety monitoring system based on the Internet of Things, so I will not go into details here.

[0074] Reference Figure 4 In one embodiment, filtering based on working status data and environmental parameter data to obtain data results includes the following steps: S110, comparing the uncharged temperature value with a first preset value, and determining whether the uncharged temperature value exceeds the first preset value; S120, if the uncharged temperature value exceeds a first preset value, comparing the corresponding ambient temperature with a preset standard room temperature; S130, if the ambient temperature is greater than the preset standard room temperature, a standby signal is generated, and all charging piles are marked for processing based on the standby signal; S140, if the ambient temperature is not greater than the standard room temperature, the current charging pile is determined to be unsuitable for charging, a maintenance mark is placed on the current charging pile, and data results are obtained based on the power-off mark; S150, comparing the charging temperature rise value with a second preset value, if the charging temperature rise value is greater than the second preset value, marking the current charging pile for processing to update the data result; S160, comparing the temperature drop value with a third preset value, if the temperature drop value is greater than the third preset value, marking the current charging pile for maintenance to update the data result.

[0075] Among them, the charging piles in the entire room can be powered off based on the standby signal, and all charging piles can be marked for processing so that the staff can operate in time. It should be noted here that since all charging piles are marked for processing, the total amount to be processed will increase. Since the power is cut off for the entire room and the overall heat dissipation is performed, no support is required. Therefore, before the total amount to be processed exceeds the preset total amount, it is necessary to screen based on the information to be processed and the information in the preset database. If the information to be processed can be matched in the preset database, the information to be processed will be eliminated.

[0076] It should be noted here that the environmental parameter data includes the ambient temperature, and the working state parameters include the uncharged temperature value corresponding to the current charging pile, the charging temperature rise value within the first specified time, and the temperature drop value within the second specified time after the charging is completed. The first preset value represents the standard temperature value of the charging pile when it is not charging, the preset standard room temperature represents the optimal room temperature suitable for the charging pile, the second preset value represents the optimal temperature rise value of the charging pile within the first specified time when charging, and the third preset value represents the optimal temperature drop value within the second specified time after the charging of the charging pile is completed. The first specified time and the second specified time are both set in advance and can be set according to specific circumstances. In this embodiment, the first specified time and the second specified time are both set to 10 minutes. The first preset value, the preset standard room temperature, the second preset value, and the third preset value are all set according to the current location and the corresponding actual weather, and they are not listed here one by one.

[0077] It should be noted that what is stored in the preset database is what the cloud processing center 30 can process by itself, and the preset database stores power-off operations and restart operations, etc. The processing mark mentioned here indicates that the charging pile needs to be processed, and the maintenance mark indicates that the charging pile needs maintenance.

[0078] The embodiment of the present application also discloses a device.

[0079] Reference Figure 5 , the device comprises a memory 82 and a processor 81 coupled to each other, the memory 82 storing a computer program 83 that can be run on the processor 81; When the computer program 83 is executed by the processor 81, a charging pile safety monitoring method based on the Internet of Things is implemented.

[0080] like Figure 5 As shown, the electronic device includes a processor 81 and a memory 82, wherein the memory 82 stores a computer program 83 that can be run on the processor 81, and when the computer program 83 is executed by the processor 81, a charging pile safety monitoring method based on the Internet of Things provided in an embodiment of the present application is implemented.

[0081] The memory 82 may be a ROM or other type of static storage device that can store static information and instructions, a random access memory 82, or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory 82, a read-only optical disk or other optical disk storage, an optical disk storage (including a compact disk, a laser disk, an optical disk, a digital versatile disk, a Blu-ray disk, etc.), a magnetic disk device or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 82 may be an internal storage unit in some embodiments.

[0082] The processor 81 may be a central processing unit 81, a general purpose processor 81, a digital signal processor 81, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component or any combination thereof, for running the program code stored in the memory 82 or processing data.

[0083] The processor 81 and the memory 82 are connected via a bus. The bus may include a path to transmit information between the above components. The bus may be a peripheral component interconnect standard bus or an extended industrial standard structure bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0084] Figure 5 Only an electronic device having a memory 82, a processor 81, and a bus is shown, and those skilled in the art can understand that Figure 5 The structure shown does not constitute a limitation on the electronic device, which can be a bus structure or a star structure. The electronic device can also include more or fewer components than shown in the figure, or combine certain components, or deploy different components. Other existing or future electronic devices may be applicable, should also be included in the scope of protection, and are included here by reference.

[0085] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the instructions of the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise clearly stated in this document, the execution of these steps is not strictly limited in order and can be performed in other orders.

[0086] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A charging pile safety monitoring system based on the Internet of Things, characterized in that: The invention comprises a front-end sensing module (10), a data transmission module (20), a cloud processing center (30) and a terminal display device (40), wherein the front-end sensing module (10) is used to monitor in real time the working status data inside a plurality of charging piles and the indoor environmental parameter data, the data transmission module (20) is connected to the front-end sensing module (10) through a network to receive the working status data and the environmental parameter data, and the data transmission module (20) is connected to the cloud processing center (30) through a network to send the working status data and the environmental parameter data to the cloud processing center (30) based on wireless communication technology; The cloud processing center (30) is used to screen the received working status data and the environmental parameter data to obtain a data processing level and a corresponding data result, compare the data processing level with a preset processing level, and determine whether the data processing level is greater than the preset processing level. If the data processing level is greater than the preset processing level, the cloud processing center (30) sends the corresponding data result to the terminal display device (40) in sequence according to the data processing level, and the data result includes information to be processed and a processing priority level corresponding to the information to be processed. The cloud processing center (30) is also used to determine whether a processing operation requires support based on the information to be processed and the processing priority level. If the cloud processing center (30) determines that the processing operation requires support, a support signal is generated and the support signal is sent to the terminal display device (40); The terminal display device (40) receives the data results in sequence and displays them in the order in which they are received, and when the terminal display device (40) receives the support signal, it displays it in a preset warning mode until the staff receives and responds.

2. The charging pile safety monitoring system based on the Internet of Things according to claim 1 is characterized in that: The data result also includes information to be maintained and a corresponding maintenance priority level. The cloud processing center (30) is also used to determine whether a maintenance operation needs to be initiated based on the information to be processed. If it is determined that a maintenance operation needs to be initiated, the information to be maintained is sent to the terminal display device (40) according to its corresponding maintenance priority level.

3. The charging pile safety monitoring system based on the Internet of Things according to claim 1 is characterized in that: It also includes a video monitoring module (50), which is used to perform real-time video monitoring of the indoor charging pile to obtain monitoring data, and send the monitoring data to the cloud processing center (30); the data result includes a monitoring time, and the cloud processing center (30) performs video interception on the monitoring data according to the monitoring time to obtain a corresponding video to be processed, and updates the environmental parameter data according to the video to be processed.

4. The charging pile safety monitoring system based on the Internet of Things according to claim 1 is characterized in that: It also includes a sound wave monitoring module (60), the front-end sensing module (10) includes a charging monitoring unit (11), and the charging monitoring unit (11) is used to determine whether the current charging pile is in a charging state. If it is determined that the current charging pile is in a charging state, the charging monitoring unit (11) generates a charging signal and sends the charging signal to the sound wave monitoring module (60); The sound wave monitoring module (60) receives the charging signal and responds to the charging signal to monitor the noise data of the current charging pile in real time, and sends the noise data to the cloud processing center (30). The cloud processing center (30) analyzes the noise data to obtain noise analysis data, and updates the working status data based on the noise analysis data.

5. The charging pile safety monitoring system based on the Internet of Things according to claim 4 is characterized in that: The charging monitoring unit (11) determines that the current charging pile is not in a charging state, then generates a sound wave monitoring signal, and sends the sound wave monitoring signal to the sound wave monitoring module (60); the sound wave monitoring module (60) periodically obtains sound wave data of the current charging pile, and sends the sound wave data to the cloud processing center (30); The cloud processing center (30) compares the sound wave data with a preset sound wave threshold to obtain a sound wave monitoring result, and updates the working status data according to the sound wave monitoring result.

6. The charging pile safety monitoring system based on the Internet of Things according to claim 1 is characterized in that: The system further comprises a data storage module (70), wherein the data storage module (70) is connected to the data transmission module (20) through a network, and the data storage module (70) is connected to the cloud processing center (30) through a network, wherein the data storage module (70) stores the working status data and the environmental parameter data sent by the data transmission module (20) based on the blockchain technology to obtain storage data, wherein the cloud processing center (30) regularly processes the storage data to obtain storage results, compares the storage results with the data results, and determines whether the storage results are similar to the data results; if it is determined that the storage results are not similar to the data results, a data error signal is generated, and the storage results are sent to the cloud processing center (30) to update the data results.

7. A charging pile safety monitoring module based on the Internet of Things, characterized in that: The cloud processing center (30) comprises a first processing module (31), a second processing module (32), a third processing module (33) and a data analysis module (34), wherein the first processing module (31) is used to perform screening according to the working status data and the environmental parameter data to obtain a data processing level and a corresponding data result, compare the data processing level with a preset processing level, and determine whether the data processing level is greater than the preset processing level; if the data processing level is greater than the preset processing level, the first processing module (31) sends the corresponding data result to the terminal display device (40) in sequence according to the data processing level, and the data result includes information to be processed and a processing priority level corresponding to the information to be processed; the first processing module (31) is also used to determine whether a processing operation requires support based on the information to be processed and the processing priority level; if the first processing module (31) determines that the maintenance operation requires support, a support signal is generated and the support signal is sent to the terminal display device (40); The second processing module (32) is used to perform video capture on the monitoring data according to the monitoring time to obtain a corresponding video to be processed, and to update the environmental parameter data according to the video to be processed; The third processing module (33) is used to analyze the noise data to obtain noise analysis data, and update the working status data according to the noise analysis data; The data analysis module (34) is used to perform data analysis based on the working status data, the environmental parameter data, the noise data and the sound wave data to obtain a data prediction model corresponding to each charging pile, and to obtain corresponding estimated data in the data prediction model based on the working status data and the environmental parameter data obtained in real time, and to update the data result based on the estimated data.

8. A charging pile safety monitoring method based on the Internet of Things, used in a cloud processing center (30), characterized in that: The following steps are involved: Screening the acquired working status data and the acquired environmental parameter data to obtain a data processing level and a corresponding data result; Comparing the data processing level with a preset processing level, and determining whether the data processing level is greater than the preset processing level; If the data processing level is greater than the preset processing level, the corresponding data results are sent to the terminal display device (40) in sequence according to the data processing levels, wherein the data results include information to be processed and a processing priority level corresponding to the information to be processed; determining whether the processing operation requires support based on the information to be processed and the processing priority level, and if it is determined that the maintenance operation requires support, generating a support signal, and sending the support signal to the terminal display device (40); Performing video interception on the monitoring data according to the monitoring time to obtain a corresponding video to be processed, and updating the environmental parameter data according to the video to be processed; The noise data is analyzed to obtain noise analysis data, and the working status data is updated according to the noise analysis data.

9. The method for charging pile safety monitoring based on the Internet of Things according to claim 8, characterized in that: The environmental parameter data includes the ambient temperature, the working state parameter includes the uncharged temperature value corresponding to the current charging pile, the charging temperature rise value within the first specified time, and the temperature drop value within the second specified time after the charging is completed. The filtering based on the working state data and the environmental parameter data to obtain the data results includes the following steps: Comparing the uncharged temperature value with a first preset value, and determining whether the uncharged temperature value exceeds the first preset value; If the uncharged temperature value exceeds the first preset value, the corresponding ambient temperature is compared with a preset standard room temperature; If the ambient temperature is greater than the preset standard room temperature, a standby signal is generated, and all charging piles are marked for processing based on the standby signal; If the ambient temperature is not greater than the standard room temperature, the current charging pile is determined to be unsuitable for charging, a maintenance mark is performed on the current charging pile, and a data result is obtained according to the power-off mark; Compare the charging temperature rise value with a second preset value, and if the charging temperature rise value is greater than the second preset value, mark the current charging pile for processing to update the data result; The temperature drop value is compared with a third preset value. If the temperature drop value is greater than the third preset value, a maintenance mark is performed on the current charging pile to update the data result.

10. A device for a charging pile safety monitoring system based on the Internet of Things, characterized in that: The device comprises a memory (82) and a processor (81) coupled to each other, wherein the memory (82) stores a computer program (83) that can be run on the processor (81); When the computer program (83) is executed by the processor (81), the charging pile safety monitoring method based on the Internet of Things as claimed in any one of claims 8 to 9 is implemented.

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