Electric cabin door control method and system based on big data analysis and storage medium

Abstract

The invention discloses an electric cabin door control method and system based on big data analysis and a storage medium, and the method comprises the steps: obtaining target data which at least comprises position data, environment data and user data; the electric cabin door is controlled to act on the basis of the target data, and the action content at least comprises cabin door opening and closing time, a cabin door opening and closing mode and a cabin door ventilation mechanism; receiving control command data, and performing command extraction based on the control command data to identify a target command; and performing control self-correction based on the target command in combination with the current target data, thereby controlling the electric cabin door to act based on the self-corrected composite command. The electric cabin door can be intelligently controlled based on big data analysis, different user habits can be adapted, and multiple mechanism responses can be performed on the opening action mode of the electric cabin door so as to adapt to more application scenes.

Description

Technical Field

[0001] The present invention relates to the field of automation control technology, and more specifically, to an electric door control method, system and storage medium based on big data analysis. Background Art

[0002] A communication vehicle is a special vehicle equipped with communication equipment and used to ensure communication. It is usually divided into emergency integrated communication vehicles, network management vehicles, program-controlled telephone vehicles, adaptive frequency-hopping radio vehicles, digital spread spectrum relay vehicles, scattering communication vehicles, satellite communication vehicles, optical cable connection vehicles, cable retraction vehicles and communication power supply vehicles.

[0003] Among them, the communication vehicle is equipped with a working door for personnel to enter and exit the cabin and an upward flip door for the accessory room. The existing door control methods include manual opening and automatic opening. Among them, manual opening with the help of electric power has the disadvantage of low efficiency, and automatic opening has the problems of single mode and untimely response. Summary of the invention

[0004] The purpose of the present invention is to provide an electric door control method, system and storage medium based on big data analysis, which can perform intelligent control of the electric door based on big data analysis. It can not only adapt to different user habits, but also perform multiple mechanism responses to the opening action mode of the electric door to adapt to more application scenarios.

[0005] A first aspect of the present invention provides an electric door control method based on big data analysis, comprising the following steps:

[0006] Acquiring target data, wherein the target data includes at least location data, environment data, and user data;

[0007] Controlling the electric door to perform an action based on the target data, wherein the action content includes at least a door opening and closing time, a door opening and closing mode, and a door ventilation mechanism;

[0008] receiving control command data, and performing command extraction based on the control command data to identify a target command;

[0009] Based on the target command combined with current target data, control self-correction is performed, so that the electric door is controlled to move based on the composite command after self-correction.

[0010] In this solution, the acquisition of target data specifically includes:

[0011] The target data is acquired based on a preset acquisition device, wherein the acquisition device includes a positioning device, a sensor device and a communication device, wherein:

[0012] Acquiring the geographical location of the current communication vehicle based on the positioning device to obtain the location data, wherein the location data includes key areas and non-key areas;

[0013] The environmental data is obtained based on the sensor data acquired by the sensor device within a preset range of the current communication vehicle, wherein the environmental data includes temperature data, humidity data and dust data;

[0014] The user data is obtained by acquiring attribute data of the current communication vehicle driver and passenger based on the communication device.

[0015] In this solution, controlling the electric door to move based on the target data specifically includes:

[0016] Matching the door opening and closing time based on the position data, wherein the door opening and closing time includes the set door opening and closing time and the braking response time of the door opening and closing;

[0017] Matching a door opening mode based on the user data and / or the location data, wherein the door opening mode includes a door opening angle and a door opening height;

[0018] A cabin door ventilation mechanism is matched based on the environmental data, wherein the cabin door ventilation mechanism includes active ventilation and passive ventilation.

[0019] In this solution, matching the cabin door ventilation mechanism based on the environmental data specifically includes:

[0020] Extracting characteristic values ​​from the temperature data, the humidity data, and the dust data to obtain a temperature characteristic value, a humidity characteristic value, and a dust characteristic value;

[0021] Based on different characteristic values ​​combined with a preset value range, the landing point is judged to match the corresponding hatch ventilation mechanism, wherein:

[0022] Based on the temperature characteristic value, identifying the landing area within the temperature value range, wherein if it falls within the target temperature range, active ventilation is matched, otherwise passive ventilation is matched;

[0023] Based on the humidity characteristic value, identifying the landing area within the humidity value range, wherein if it falls within the target humidity range, active ventilation is matched, otherwise passive ventilation is matched;

[0024] Based on the dust characteristic value, the landing point area within the dust value range is identified, wherein if it falls within the target dust concentration, active ventilation is matched, otherwise passive ventilation is matched.

[0025] In this solution, the receiving control command data and performing command extraction based on the control command data to identify the target command specifically include:

[0026] synchronously receiving the control command data based on the user data;

[0027] Performing command factor key value identification based on the control command data;

[0028] Therefore, the command line in the control command data is extracted based on the recognition result to obtain the target command, wherein the target command includes an immediate command and a large data update command.

[0029] In this solution, the control self-correction is performed based on the target command combined with the current target data, so as to control the electric door to move based on the composite command after self-correction, specifically including:

[0030] The target data to be adjusted is matched based on the target command, so as to self-correct the target data based on the target command, wherein:

[0031] Immediately modifying the action content of the target data based on the immediate command;

[0032] The action content of the target data is dynamically updated based on the large data update command.

[0033] The second aspect of the present invention further provides an electric door control system based on big data analysis, comprising a memory and a processor, wherein the memory comprises an electric door control method program based on big data analysis, and when the electric door control method program based on big data analysis is executed by the processor, the following steps are implemented:

[0034] Acquiring target data, wherein the target data includes at least location data, environment data, and user data;

[0035] Controlling the electric door to perform an action based on the target data, wherein the action content includes at least a door opening and closing time, a door opening and closing mode, and a door ventilation mechanism;

[0036] receiving control command data, and performing command extraction based on the control command data to identify a target command;

[0037] Based on the target command combined with current target data, control self-correction is performed, so that the electric door is controlled to move based on the composite command after self-correction.

[0038] In this solution, the acquisition of target data specifically includes:

[0039] The target data is acquired based on a preset acquisition device, wherein the acquisition device includes a positioning device, a sensor device and a communication device, wherein:

[0040] Acquiring the geographical location of the current communication vehicle based on the positioning device to obtain the location data, wherein the location data includes key areas and non-key areas;

[0041] The environmental data is obtained based on the sensor data acquired by the sensor device within a preset range of the current communication vehicle, wherein the environmental data includes temperature data, humidity data and dust data;

[0042] The user data is obtained by acquiring attribute data of the current communication vehicle driver and passenger based on the communication device.

[0043] In this solution, controlling the electric door to move based on the target data specifically includes:

[0044] Matching the door opening and closing time based on the position data, wherein the door opening and closing time includes the set door opening and closing time and the braking response time of the door opening and closing;

[0045] Matching a door opening mode based on the user data and / or the location data, wherein the door opening mode includes a door opening angle and a door opening height;

[0046] A cabin door ventilation mechanism is matched based on the environmental data, wherein the cabin door ventilation mechanism includes active ventilation and passive ventilation.

[0047] In this solution, matching the cabin door ventilation mechanism based on the environmental data specifically includes:

[0048] Extracting characteristic values ​​from the temperature data, the humidity data, and the dust data to obtain a temperature characteristic value, a humidity characteristic value, and a dust characteristic value;

[0049] Based on different characteristic values ​​combined with a preset value range, the landing point is judged to match the corresponding hatch ventilation mechanism, wherein:

[0050] Based on the temperature characteristic value, identifying the landing area within the temperature value range, wherein if it falls within the target temperature range, active ventilation is matched, otherwise passive ventilation is matched;

[0051] Based on the humidity characteristic value, identifying the landing area within the humidity value range, wherein if it falls within the target humidity range, active ventilation is matched, otherwise passive ventilation is matched;

[0052] Based on the dust characteristic value, the landing point area within the dust value range is identified, wherein if it falls within the target dust concentration, active ventilation is matched, otherwise passive ventilation is matched.

[0053] In this solution, the receiving control command data and performing command extraction based on the control command data to identify the target command specifically include:

[0054] synchronously receiving the control command data based on the user data;

[0055] Performing command factor key value identification based on the control command data;

[0056] Therefore, the command line in the control command data is extracted based on the recognition result to obtain the target command, wherein the target command includes an immediate command and a large data update command.

[0057] In this solution, the control self-correction is performed based on the target command combined with the current target data, so as to control the electric door to move based on the composite command after self-correction, specifically including:

[0058] The target data to be adjusted is matched based on the target command, so as to self-correct the target data based on the target command, wherein:

[0059] Immediately modifying the action content of the target data based on the immediate command;

[0060] The action content of the target data is dynamically updated based on the large data update command.

[0061] The third aspect of the present invention provides a computer-readable storage medium, which includes a machine's electric door control method program based on big data analysis. When the electric door control method program based on big data analysis is executed by a processor, the steps of an electric door control method based on big data analysis as described in any one of the above items are implemented.

[0062] The present invention discloses an electric door control method, system and storage medium based on big data analysis, which can perform intelligent control of the electric door based on big data analysis. It can not only adapt to different user habits, but also perform multiple mechanism responses to the opening action mode of the electric door to adapt to more application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A flow chart of an electric door control method based on big data analysis of the present invention is shown;

[0064] Figure 2 A block diagram of an electric door control system based on big data analysis of the present invention is shown. DETAILED DESCRIPTION

[0065] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0066] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0067] Figure 1 A flow chart of an electric door control method based on big data analysis of the present application is shown.

[0068] like Figure 1 As shown, the present application discloses an electric door control method based on big data analysis, comprising the following steps:

[0069] S102, acquiring target data, wherein the target data at least includes location data, environment data and user data;

[0070] S104, controlling the electric door to perform an action based on the target data, wherein the action content includes at least a door opening and closing time, a door opening and closing mode, and a door ventilation mechanism;

[0071] S106, receiving control command data, and performing command extraction based on the control command data to identify a target command;

[0072] S108, performing control self-correction based on the target command combined with current target data, thereby controlling the electric door to move based on the self-corrected composite command.

[0073] It should be noted that, in this embodiment, the present invention specifically describes an electric door control method based on big data analysis. Accordingly, if big data analysis is required, it is necessary to first obtain the corresponding data, that is, to obtain the target data. Specifically, the acquired target data includes location data, environmental data and user data when applied, and then the electric door is controlled to perform actions based on the target data. The contents of the actions controlled by different target data are also different. Specifically, the action content includes at least the door opening and closing time, the door opening and closing mode and the door ventilation mechanism.

[0074] Furthermore, in addition to performing big data analysis based on the acquired target data to control the motion of the electric door, target command recognition is performed by receiving control command data to combine different target data for control self-correction, so that the electric door is operated under the control of the composite command after self-correction, so as to realize the combined application of multiple scenarios and improve the adaptability of the door control by means of the results of big data analysis.

[0075] According to an embodiment of the present invention, acquiring target data specifically includes:

[0076] The target data is acquired based on a preset acquisition device, wherein the acquisition device includes a positioning device, a sensor device and a communication device, wherein:

[0077] Acquiring the geographical location of the current communication vehicle based on the positioning device to obtain the location data, wherein the location data includes key areas and non-key areas;

[0078] The environmental data is obtained based on the sensor data acquired by the sensor device within a preset range of the current communication vehicle, wherein the environmental data includes temperature data, humidity data and dust data;

[0079] The user data is obtained by acquiring attribute data of the current communication vehicle driver and passenger based on the communication device.

[0080] It should be noted that, in this embodiment, the target data is specifically derived from a response from a pre-set collection device, wherein the pre-set collection device includes a positioning device, a sensor device and a communication device. Specifically, the geographical location of the current communication vehicle is obtained based on the positioning device to obtain the location data, wherein the location data includes key areas and non-key areas, and the positioning device is correspondingly arranged on the communication vehicle, and can be specifically integrated into the vehicle system; the environmental data is obtained based on the sensor data within a preset range of the current communication vehicle, and the environmental data includes temperature data, humidity data and dust data, and the sensor device is correspondingly arranged at various locations of the communication vehicle, including the door, the front of the vehicle, the rear of the vehicle, etc.; the attribute data of the driver and passengers of the current communication vehicle are obtained based on the communication device to obtain the user data, and accordingly, the communication device can be integrated with the vehicle system to receive the user's control instructions.

[0081] According to an embodiment of the present invention, controlling the electric door to move based on the target data specifically includes:

[0082] Matching the door opening and closing time based on the position data, wherein the door opening and closing time includes the set door opening and closing time and the braking response time of the door opening and closing;

[0083] Matching a door opening mode based on the user data and / or the location data, wherein the door opening mode includes a door opening angle and a door opening height;

[0084] A cabin door ventilation mechanism is matched based on the environmental data, wherein the cabin door ventilation mechanism includes active ventilation and passive ventilation.

[0085] It should be noted that the above-mentioned embodiment describes how to obtain the target data, and in this embodiment, it will be specifically described how to control the electric cabin door to perform actions based on the target data, including matching the cabin door opening and closing time based on the position data, wherein the cabin door opening and closing time includes the set door opening and closing time, and the braking response time of the door opening and closing; and matching the door opening method based on the user data and / or the position data, wherein the door opening method includes the door opening angle and the door opening height; and matching the cabin door ventilation mechanism based on the environmental data, wherein the cabin door ventilation mechanism includes active ventilation and passive ventilation.

[0086] According to an embodiment of the present invention, matching the cabin door ventilation mechanism based on the environmental data specifically includes:

[0087] Extracting characteristic values ​​from the temperature data, the humidity data, and the dust data to obtain a temperature characteristic value, a humidity characteristic value, and a dust characteristic value;

[0088] Based on different characteristic values ​​combined with a preset value range, the landing point is judged to match the corresponding hatch ventilation mechanism, wherein:

[0089] Based on the temperature characteristic value, identifying the landing area within the temperature value range, wherein if it falls within the target temperature range, active ventilation is matched, otherwise passive ventilation is matched;

[0090] Based on the humidity characteristic value, identifying the landing area within the humidity value range, wherein if it falls within the target humidity range, active ventilation is matched, otherwise passive ventilation is matched;

[0091] Based on the dust characteristic value, the landing point area within the dust value range is identified, wherein if it falls within the target dust concentration, active ventilation is matched, otherwise passive ventilation is matched.

[0092] It should be noted that, in this embodiment, the cabin door ventilation mechanism includes active ventilation and passive ventilation. Active ventilation utilizes natural wind and the vehicle-mounted air circulation system for ventilation, while passive ventilation is based on the passive air circulation device arranged at the cabin door to be turned on for passive ventilation. The passive air circulation device can be a hot and cold fan arranged at the cabin door ventilation, or a dehumidification device arranged at the cabin door ventilation, or a blowing and purification device arranged at the cabin door ventilation. Specifically, the landing point judgment is performed based on different characteristic values ​​combined with a preset value range to match the corresponding cabin door ventilation mechanism. First, the characteristic values ​​in the temperature data, the humidity data and the dust data are extracted to obtain the temperature characteristic value, the humidity characteristic value and the dust characteristic value.

[0093] Further, based on the temperature characteristic value, a landing area within the temperature value range is identified, wherein if it falls within the target temperature range, active ventilation is matched, otherwise passive ventilation is matched, which means that when the temperature characteristic value is within the target temperature range, there is no need for passive ventilation to speed up air circulation, and when it is not within the temperature range, it is necessary to determine the specific landing point of the target temperature to match passive ventilation, wherein, when the temperature characteristic value is too high, the cold air mechanism is turned on based on the cold and hot fans set at the cabin door ventilation, and when the temperature characteristic value is too low, the hot air mechanism is turned on based on the cold and hot fans set at the cabin door ventilation; specifically, the hot air mechanism is turned on based on the cold and hot fans set at the cabin door ventilation. The hot and cold fans and the on-board air conditioner of the communication vehicle are not a system, and the functions they implement are also different. Specifically, the on-board air conditioner is used to regulate the temperature inside the car, while the hot and cold fans are used to adjust the temperature of the electric hatch, so as to avoid deformation of the electric hatch and its moving track device due to temperature changes and impact on personnel safety in different climatic environments. For example, in cold areas, if the hot fan is not turned on to ensure the constant temperature of the electric hatch, the electric door will be deformed due to freezing and the door will also freeze the palms or arms of the person due to excessive freezing at low temperatures. Therefore, it is necessary to adjust the ventilation mechanism of the electric hatch according to the temperature characteristic value.

[0094] Furthermore, based on the humidity characteristic value, a landing area within the humidity value range is identified, wherein if it falls within the target humidity range, active ventilation is matched, otherwise passive ventilation is matched; that is, when the humidity characteristic value is within the target humidity range, there is no need for passive ventilation to adjust the humidity, and when it is not within the humidity range, it is necessary to determine the specific landing point of the target humidity to match passive ventilation, wherein, when the humidity characteristic value is too high, dehumidification operation is performed based on the dehumidification device set at the cabin door ventilation, and when the humidity characteristic value is too low, humidification operation is performed based on the dehumidification device set at the cabin door ventilation; specifically, the cabin door ventilation is set The dehumidification device at the wind station is not a system with the onboard air conditioner of the communication vehicle, and the dehumidification functions they implement are also different. Specifically, the onboard air conditioner is used to regulate the humidity in the vehicle, while the dehumidification device is used to regulate the humidity of the electric hatch itself, to avoid rusting of the electric hatch due to humidity changes in different climatic environments, which may affect the structural safety. For example, in areas with heavy humidity, if the dehumidification operation is not turned on to ensure the dryness of the electric hatch, the electric hatch itself and its moving track device will rust, resulting in problems with the hatch opening being blocked. Therefore, the ventilation mechanism of the electric hatch needs to be adjusted according to the humidity characteristic value.

[0095] Furthermore, based on the dust characteristic value, the landing point area within the dust value range is identified, wherein, if it falls within the target dust concentration, active ventilation is matched, otherwise passive ventilation is matched; that is, when the dust characteristic value is within the target dust concentration range, there is no need for passive ventilation to adjust the dust concentration, and when it is not within the dust concentration range, it is necessary to determine the specific landing point of the target dust concentration to match passive ventilation, wherein, when the concentration of the dust characteristic value is too high, a purification operation is performed based on the blowing purification device set at the cabin door ventilation to reduce the impact of the dust on the cabin door; specifically, the blowing purification device set at the cabin door ventilation is used to purify the cabin door. The air blowing purification device and the on-board air purifier of the communication vehicle are not the same system, and the dust removal functions they implement are also different. Specifically, the on-board air purifier is used to regulate the air quality in the vehicle, while the air blowing purification device is used to regulate the air dust concentration of the electric hatch itself and its moving track device, so as to avoid track blockage of the electric hatch due to changes in dust concentration in strong sandstorm weather, affecting the structural safety of the hatch. Among them, the air blowing purification device, when used, can be a blowing device and a purification device, thereby realizing the absorption of dust concentration and blowing air to the ventilation area to blow away the residual dust on the moving track.

[0096] According to an embodiment of the present invention, receiving control command data, and performing command extraction based on the control command data to identify a target command specifically includes:

[0097] synchronously receiving the control command data based on the user data;

[0098] Performing command factor key value identification based on the control command data;

[0099] Therefore, the command line in the control command data is extracted based on the recognition result to obtain the target command, wherein the target command includes an immediate command and a large data update command.

[0100] It should be noted that the above embodiment describes that user data can be provided by a communication device. Accordingly, in this embodiment, the control command data can be synchronously received based on the user data, so that command factor key values ​​can be identified based on the control command data, and the command line in the control command data can be extracted based on the identification result after key value identification to obtain the target command, wherein the target command includes an immediate command and a big data update command, wherein different target commands have different priorities, and the immediate command has the highest priority, emphasizing timeliness, while the priority of the big data update command is adjusted according to actual needs, emphasizing big data updates.

[0101] According to an embodiment of the present invention, the control self-correction based on the target command combined with the current target data, thereby controlling the electric door to move based on the self-corrected composite command, specifically includes:

[0102] The target data to be adjusted is matched based on the target command, so as to self-correct the target data based on the target command, wherein:

[0103] Immediately modifying the action content of the target data based on the immediate command;

[0104] The action content of the target data is dynamically updated based on the large data update command.

[0105] It should be noted that, in the above-mentioned embodiment, it is described that the target command includes the immediate command with outstanding timeliness and the big data update command with outstanding big data update. Therefore, in this embodiment, it is necessary to match the corresponding target data to be adjusted based on the target command, so as to self-correct the target data based on the target command, wherein the action content of the target data is immediately changed based on the immediate command. Since the immediate command has the highest priority and outstanding timeliness, after obtaining the immediate command, it is necessary to make immediate changes based on the immediate command, such as changing the opening method of the electric door; and dynamically update the action content of the target data based on the big data update command. Since the big data update command specifically dynamically updates the action content, in actual application, the priority is not as high as the immediate command, and it can be dynamically updated based on a predefined time value or a time value after big data analysis.

[0106] It is worth mentioning how to distinguish the timeliness priority of big data update commands, including:

[0107] Extracting the update object based on the big data update command for time response, wherein:

[0108] If there is no target time limit set for the update object in the user data, a time response is performed based on matching the current update object with a preset time limit response table;

[0109] If the update object has a set target time limit, the update time is output based on the target time limit and the current time, wherein the update data is related to the update object and the large data update data packet.

[0110] It should be noted that, since the timeliness of the immediate command is the highest, it corresponds to an immediate response. In this embodiment, the response time of the big data update command needs to be distinguished according to whether the corresponding target timeliness is set in the user data. Specifically, if there is no set target timeliness, the time response is performed based on the current update object matching the preset timeliness response table, that is, different update objects have different corresponding timeliness values. For example, the timeliness of the door opening method is higher than the timeliness of the door opening and closing time. If the update object has a set target timeliness, the update time is output based on the target timeliness and the current time. The update data is related to the update object and the big data update data packet. Specifically, the update object has different priorities in the timeliness response table, and is based on the specific The size of the big data update data packet of the body is also related. For example, the big data update command needs to update the door opening method and the hatch opening and closing time at the same time, and the timeliness of the door opening method is higher than the timeliness of the hatch opening and closing time. At this time, if the update data packet of the door opening method is less than or equal to the update data packet of the switching time, the door opening method is updated first accordingly. When the update data packet of the door opening method is larger than the update data packet of the hatch opening and closing time, the corresponding update time is output based on the proportion calculation, wherein the proportion calculation can be based on the weight proportion of different data combined with the exact value to calculate the size, and the larger the calculation result, the higher the timeliness priority. When calculating the timeliness priority of the big data update command, the regular expression is judged first, and then the weight proportion calculation is performed to reduce the amount of calculation.

[0111] It is worth mentioning that the door opening and closing time matching based on the location data specifically includes:

[0112] Identify the key feature value of the area based on the position data to distinguish the key area and the non-key area;

[0113] The door opening and closing times and the braking response times are different based on the differentiated area types, wherein:

[0114] When the area type after distinction is the key area, the corresponding door opening and closing time is the limited time, and the corresponding braking response time is the first time;

[0115] When the differentiated area type is the non-key area, the corresponding door opening and closing time is the non-restricted time, and the corresponding braking response time is the second time.

[0116] It should be noted that, in this embodiment, the door opening and closing times (door opening and closing time, brake response time) corresponding to different position data are different. Specifically, the door opening and closing time is the time value allowed for opening and closing the door in natural time, wherein, firstly, the key feature value of the area is identified based on the position data to distinguish the key area and the non-key area. When applied, for the key area, the door opening and closing time value is initially restricted, unless it can be changed immediately under the user's immediate command control, wherein the brake response time of the key area corresponds to the first time, which is also the fastest, for example, a response is within "10s", that is, the door opening and closing speed response is very fast, especially for locations involving confidential areas, the door opening and closing time and door opening and closing speed response of the communication vehicle are more restricted, while for non-key areas, the door opening and closing time value is not restricted, corresponding to the second time, which can be a random value greater than or equal to "10s" when applied, and passengers can get on and off the vehicle more calmly.

[0117] It is worth mentioning that the door opening method is matched based on the user data and / or the location data, specifically including:

[0118] Different door opening methods are responded to based on the differentiated area types, among which,

[0119] When the differentiated area type is the key area, the door opening angle and door opening height are combined with specific location data for restricted opening;

[0120] When the differentiated area type is the non-key area, the door opening angle and door opening height are opened without restriction based on the setting data and / or the memory parameters corresponding to the user data.

[0121] It should be noted that, in this embodiment, the door opening method specifically includes a door opening angle and a door opening height. For the non-key area, it is specifically unrestricted opening, and the specific angle and height can be based on the setting data and / or the memory parameters corresponding to the user data for unrestricted opening. However, for the key area, the door opening angle and door opening height are combined with the specific position data for restricted opening. Different position data correspond to different angles and heights. In specific applications, it can be adjusted according to the current position of the key area.

[0122] Figure 2 A block diagram of an electric door control system based on big data analysis of the present invention is shown.

[0123] like Figure 2As shown, the present invention discloses an electric door control system based on big data analysis, including a memory and a processor, wherein the memory includes an electric door control method program based on big data analysis, and when the electric door control method program based on big data analysis is executed by the processor, the following steps are implemented:

[0124] Acquiring target data, wherein the target data includes at least location data, environment data, and user data;

[0125] Controlling the electric door to perform an action based on the target data, wherein the action content includes at least a door opening and closing time, a door opening and closing mode, and a door ventilation mechanism;

[0126] receiving control command data, and performing command extraction based on the control command data to identify a target command;

[0127] Based on the target command combined with current target data, control self-correction is performed, so that the electric door is controlled to move based on the composite command after self-correction.

[0128] It should be noted that, in this embodiment, the present invention specifically describes an electric door control method based on big data analysis. Accordingly, if big data analysis is required, it is necessary to first obtain the corresponding data, that is, to obtain the target data. Specifically, the acquired target data includes location data, environmental data and user data when applied, and then the electric door is controlled to perform actions based on the target data. The contents of the actions controlled by different target data are also different. Specifically, the action content includes at least the door opening and closing time, the door opening and closing mode and the door ventilation mechanism.

[0129] Furthermore, in addition to performing big data analysis based on the acquired target data to control the motion of the electric door, target command recognition is performed by receiving control command data to combine different target data for control self-correction, so that the electric door is operated under the control of the composite command after self-correction, so as to realize the combined application of multiple scenarios and improve the adaptability of the door control by means of the results of big data analysis.

[0130] According to an embodiment of the present invention, acquiring target data specifically includes:

[0131] The target data is acquired based on a preset acquisition device, wherein the acquisition device includes a positioning device, a sensor device and a communication device, wherein:

[0132] Acquiring the geographical location of the current communication vehicle based on the positioning device to obtain the location data, wherein the location data includes key areas and non-key areas;

[0133] The environmental data is obtained based on the sensor data acquired by the sensor device within a preset range of the current communication vehicle, wherein the environmental data includes temperature data, humidity data and dust data;

[0134] The user data is obtained by acquiring attribute data of the current communication vehicle driver and passenger based on the communication device.

[0135] It should be noted that, in this embodiment, the target data is specifically derived from a response from a pre-set collection device, wherein the pre-set collection device includes a positioning device, a sensor device and a communication device. Specifically, the geographical location of the current communication vehicle is obtained based on the positioning device to obtain the location data, wherein the location data includes key areas and non-key areas, and the positioning device is correspondingly arranged on the communication vehicle, and can be specifically integrated into the vehicle system; the environmental data is obtained based on the sensor data within a preset range of the current communication vehicle, and the environmental data includes temperature data, humidity data and dust data, and the sensor device is correspondingly arranged at various locations of the communication vehicle, including the door, the front of the vehicle, the rear of the vehicle, etc.; the attribute data of the driver and passengers of the current communication vehicle are obtained based on the communication device to obtain the user data, and accordingly, the communication device can be integrated with the vehicle system to receive the user's control instructions.

[0136] According to an embodiment of the present invention, controlling the electric door to move based on the target data specifically includes:

[0137] Matching the door opening and closing time based on the position data, wherein the door opening and closing time includes the set door opening and closing time and the braking response time of the door opening and closing;

[0138] Matching a door opening mode based on the user data and / or the location data, wherein the door opening mode includes a door opening angle and a door opening height;

[0139] A cabin door ventilation mechanism is matched based on the environmental data, wherein the cabin door ventilation mechanism includes active ventilation and passive ventilation.

[0140] It should be noted that the above-mentioned embodiment describes how to obtain the target data, and in this embodiment, it will be specifically described how to control the electric cabin door to perform actions based on the target data, including matching the cabin door opening and closing time based on the position data, wherein the cabin door opening and closing time includes the set door opening and closing time, and the braking response time of the door opening and closing; and matching the door opening method based on the user data and / or the position data, wherein the door opening method includes the door opening angle and the door opening height; and matching the cabin door ventilation mechanism based on the environmental data, wherein the cabin door ventilation mechanism includes active ventilation and passive ventilation.

[0141] According to an embodiment of the present invention, matching the cabin door ventilation mechanism based on the environmental data specifically includes:

[0142] Extracting characteristic values ​​from the temperature data, the humidity data, and the dust data to obtain a temperature characteristic value, a humidity characteristic value, and a dust characteristic value;

[0143] Based on different characteristic values ​​combined with a preset value range, the landing point is judged to match the corresponding hatch ventilation mechanism, wherein:

[0144] Based on the temperature characteristic value, identifying the landing area within the temperature value range, wherein if it falls within the target temperature range, active ventilation is matched, otherwise passive ventilation is matched;

[0145] Based on the humidity characteristic value, identifying the landing area within the humidity value range, wherein if it falls within the target humidity range, active ventilation is matched, otherwise passive ventilation is matched;

[0146] Based on the dust characteristic value, the landing point area within the dust value range is identified, wherein if it falls within the target dust concentration, active ventilation is matched, otherwise passive ventilation is matched.

[0147] It should be noted that, in this embodiment, the cabin door ventilation mechanism includes active ventilation and passive ventilation. Active ventilation utilizes natural wind and the vehicle-mounted air circulation system for ventilation, while passive ventilation is based on the passive air circulation device arranged at the cabin door to be turned on for passive ventilation. The passive air circulation device can be a hot and cold fan arranged at the cabin door ventilation, or a dehumidification device arranged at the cabin door ventilation, or a blowing and purification device arranged at the cabin door ventilation. Specifically, the landing point judgment is performed based on different characteristic values ​​combined with a preset value range to match the corresponding cabin door ventilation mechanism. First, the characteristic values ​​in the temperature data, the humidity data and the dust data are extracted to obtain the temperature characteristic value, the humidity characteristic value and the dust characteristic value.

[0148] Further, based on the temperature characteristic value, a landing area within the temperature value range is identified, wherein if it falls within the target temperature range, active ventilation is matched, otherwise passive ventilation is matched, which means that when the temperature characteristic value is within the target temperature range, there is no need for passive ventilation to speed up air circulation, and when it is not within the temperature range, it is necessary to determine the specific landing point of the target temperature to match passive ventilation, wherein, when the temperature characteristic value is too high, the cold air mechanism is turned on based on the cold and hot fans set at the cabin door ventilation, and when the temperature characteristic value is too low, the hot air mechanism is turned on based on the cold and hot fans set at the cabin door ventilation; specifically, the hot air mechanism is turned on based on the cold and hot fans set at the cabin door ventilation. The hot and cold fans and the on-board air conditioner of the communication vehicle are not a system, and the functions they implement are also different. Specifically, the on-board air conditioner is used to regulate the temperature inside the car, while the hot and cold fans are used to adjust the temperature of the electric hatch, so as to avoid deformation of the electric hatch and its moving track device due to temperature changes and impact on personnel safety in different climatic environments. For example, in cold areas, if the hot fan is not turned on to ensure the constant temperature of the electric hatch, the electric door will be deformed due to freezing and the door will also freeze the palms or arms of the person due to excessive freezing at low temperatures. Therefore, it is necessary to adjust the ventilation mechanism of the electric hatch according to the temperature characteristic value.

[0149] Furthermore, based on the humidity characteristic value, a landing area within the humidity value range is identified, wherein if it falls within the target humidity range, active ventilation is matched, otherwise passive ventilation is matched; that is, when the humidity characteristic value is within the target humidity range, there is no need for passive ventilation to adjust the humidity, and when it is not within the humidity range, it is necessary to determine the specific landing point of the target humidity to match passive ventilation, wherein, when the humidity characteristic value is too high, dehumidification operation is performed based on the dehumidification device set at the cabin door ventilation, and when the humidity characteristic value is too low, humidification operation is performed based on the dehumidification device set at the cabin door ventilation; specifically, the cabin door ventilation is set The dehumidification device at the wind station is not a system with the onboard air conditioner of the communication vehicle, and the dehumidification functions they implement are also different. Specifically, the onboard air conditioner is used to regulate the humidity in the vehicle, while the dehumidification device is used to regulate the humidity of the electric hatch itself, to avoid rusting of the electric hatch due to humidity changes in different climatic environments, which may affect the structural safety. For example, in areas with heavy humidity, if the dehumidification operation is not turned on to ensure the dryness of the electric hatch, the electric hatch itself and its moving track device will rust, resulting in problems with the hatch opening being blocked. Therefore, the ventilation mechanism of the electric hatch needs to be adjusted according to the humidity characteristic value.

[0150] Furthermore, based on the dust characteristic value, the landing point area within the dust value range is identified, wherein, if it falls within the target dust concentration, active ventilation is matched, otherwise passive ventilation is matched; that is, when the dust characteristic value is within the target dust concentration range, there is no need for passive ventilation to adjust the dust concentration, and when it is not within the dust concentration range, it is necessary to determine the specific landing point of the target dust concentration to match passive ventilation, wherein, when the concentration of the dust characteristic value is too high, a purification operation is performed based on the blowing purification device set at the cabin door ventilation to reduce the impact of the dust on the cabin door; specifically, the blowing purification device set at the cabin door ventilation is used to purify the cabin door. The air blowing purification device and the on-board air purifier of the communication vehicle are not the same system, and the dust removal functions they implement are also different. Specifically, the on-board air purifier is used to regulate the air quality in the vehicle, while the air blowing purification device is used to regulate the air dust concentration of the electric hatch itself and its moving track device, so as to avoid track blockage of the electric hatch due to changes in dust concentration in strong sandstorm weather, affecting the structural safety of the hatch. Among them, the air blowing purification device, when used, can be a blowing device and a purification device, thereby realizing the absorption of dust concentration and blowing air to the ventilation area to blow away the residual dust on the moving track.

[0151] According to an embodiment of the present invention, receiving control command data, and performing command extraction based on the control command data to identify a target command specifically includes:

[0152] synchronously receiving the control command data based on the user data;

[0153] Performing command factor key value identification based on the control command data;

[0154] Therefore, the command line in the control command data is extracted based on the recognition result to obtain the target command, wherein the target command includes an immediate command and a large data update command.

[0155] It should be noted that the above embodiment describes that user data can be provided by a communication device. Accordingly, in this embodiment, the control command data can be synchronously received based on the user data, so that command factor key values ​​can be identified based on the control command data, and the command line in the control command data can be extracted based on the identification result after key value identification to obtain the target command, wherein the target command includes an immediate command and a big data update command, wherein different target commands have different priorities, and the immediate command has the highest priority, emphasizing timeliness, while the priority of the big data update command is adjusted according to actual needs, emphasizing big data updates.

[0156] According to an embodiment of the present invention, the control self-correction based on the target command combined with the current target data, thereby controlling the electric door to move based on the self-corrected composite command, specifically includes:

[0157] The target data to be adjusted is matched based on the target command, so as to self-correct the target data based on the target command, wherein:

[0158] Immediately modifying the action content of the target data based on the immediate command;

[0159] The action content of the target data is dynamically updated based on the large data update command.

[0160] It should be noted that, in the above-mentioned embodiment, it is described that the target command includes the immediate command with outstanding timeliness and the big data update command with outstanding big data update. Therefore, in this embodiment, it is necessary to match the corresponding target data to be adjusted based on the target command, so as to self-correct the target data based on the target command, wherein the action content of the target data is immediately changed based on the immediate command. Since the immediate command has the highest priority and outstanding timeliness, after obtaining the immediate command, it is necessary to make immediate changes based on the immediate command, such as changing the opening method of the electric door; and dynamically update the action content of the target data based on the big data update command. Since the big data update command specifically dynamically updates the action content, in actual application, the priority is not as high as the immediate command, and it can be dynamically updated based on a predefined time value or a time value after big data analysis.

[0161] It is worth mentioning how to distinguish the timeliness priority of big data update commands, including:

[0162] Extracting the update object based on the big data update command for time response, wherein:

[0163] If there is no target time limit set for the update object in the user data, a time response is performed based on matching the current update object with a preset time limit response table;

[0164] If the update object has a set target time limit, the update time is output based on the target time limit and the current time, wherein the update data is related to the update object and the large data update data packet.

[0165] It should be noted that, since the timeliness of the immediate command is the highest, it corresponds to an immediate response. In this embodiment, the response time of the big data update command needs to be distinguished according to whether the corresponding target timeliness is set in the user data. Specifically, if there is no set target timeliness, the time response is performed based on the current update object matching the preset timeliness response table, that is, different update objects have different corresponding timeliness values. For example, the timeliness of the door opening method is higher than the timeliness of the door opening and closing time. If the update object has a set target timeliness, the update time is output based on the target timeliness and the current time. The update data is related to the update object and the big data update data packet. Specifically, the update object has different priorities in the timeliness response table, and is based on the specific The size of the big data update data packet of the body is also related. For example, the big data update command needs to update the door opening method and the hatch opening and closing time at the same time, and the timeliness of the door opening method is higher than the timeliness of the hatch opening and closing time. At this time, if the update data packet of the door opening method is less than or equal to the update data packet of the switching time, the door opening method is updated first accordingly. When the update data packet of the door opening method is larger than the update data packet of the hatch opening and closing time, the corresponding update time is output based on the proportion calculation, wherein the proportion calculation can be based on the weight proportion of different data combined with the exact value to calculate the size, and the larger the calculation result, the higher the timeliness priority. When calculating the timeliness priority of the big data update command, the regular expression is judged first, and then the weight proportion calculation is performed to reduce the amount of calculation.

[0166] It is worth mentioning that the door opening and closing time matching based on the location data specifically includes:

[0167] Identify the key feature value of the area based on the position data to distinguish the key area and the non-key area;

[0168] The door opening and closing times and the braking response times are different based on the differentiated area types, wherein:

[0169] When the area type after distinction is the key area, the corresponding door opening and closing time is the limited time, and the corresponding braking response time is the first time;

[0170] When the differentiated area type is the non-key area, the corresponding door opening and closing time is the non-restricted time, and the corresponding braking response time is the second time.

[0171] It should be noted that, in this embodiment, the door opening and closing times (door opening and closing time, brake response time) corresponding to different position data are different. Specifically, the door opening and closing time is the time value allowed for opening and closing the door in natural time, wherein, firstly, the key feature value of the area is identified based on the position data to distinguish the key area and the non-key area. When applied, for the key area, the door opening and closing time value is initially restricted, unless it can be changed immediately under the user's immediate command control, wherein the brake response time of the key area corresponds to the first time, which is also the fastest, for example, a response is within "10s", that is, the door opening and closing speed response is very fast, especially for locations involving confidential areas, the door opening and closing time and door opening and closing speed response of the communication vehicle are more restricted, while for non-key areas, the door opening and closing time value is not restricted, corresponding to the second time, which can be a random value greater than or equal to "10s" when applied, and passengers can get on and off the vehicle more calmly.

[0172] It is worth mentioning that the door opening method is matched based on the user data and / or the location data, specifically including:

[0173] Different door opening methods are responded to based on the differentiated area types, among which,

[0174] When the differentiated area type is the key area, the door opening angle and door opening height are combined with specific location data for restricted opening;

[0175] When the differentiated area type is the non-key area, the door opening angle and door opening height are opened without restriction based on the setting data and / or the memory parameters corresponding to the user data.

[0176] It should be noted that, in this embodiment, the door opening method specifically includes a door opening angle and a door opening height. For the non-key area, it is specifically unrestricted opening, and the specific angle and height can be based on the setting data and / or the memory parameters corresponding to the user data for unrestricted opening. However, for the key area, the door opening angle and door opening height are combined with the specific position data for restricted opening. Different position data correspond to different angles and heights. In specific applications, it can be adjusted according to the current position of the key area.

[0177] A third aspect of the present invention provides a computer-readable storage medium, which includes an electric door control method program based on big data analysis. When the electric door control method program based on big data analysis is executed by a processor, the steps of an electric door control method based on big data analysis as described in any one of the above items are implemented.

[0178] The present invention discloses an electric door control method, system and storage medium based on big data analysis, which can perform intelligent control of the electric door based on big data analysis. It can not only adapt to different user habits, but also perform multiple mechanism responses to the opening action mode of the electric door to adapt to more application scenarios.

[0179] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0180] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0181] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0182] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and other media that can store program codes.

[0183] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. An electric door control method based on big data analysis, characterized in that: The following steps are involved: Acquiring target data, wherein the target data includes at least location data, environment data, and user data; Controlling the electric door to perform an action based on the target data, wherein the action content includes at least a door opening and closing time, a door opening and closing mode, and a door ventilation mechanism; receiving control command data, and performing command extraction based on the control command data to identify a target command; Based on the target command combined with current target data, control self-correction is performed, so that the electric door is controlled to move based on the composite command after self-correction.

2. The electric door control method based on big data analysis according to claim 1 is characterized in that: The obtaining of target data specifically includes: The target data is acquired based on a preset acquisition device, wherein the acquisition device includes a positioning device, a sensor device and a communication device, wherein: Acquiring the geographical location of the current communication vehicle based on the positioning device to obtain the location data, wherein the location data includes key areas and non-key areas; The environmental data is obtained based on the sensor data acquired by the sensor device within a preset range of the current communication vehicle, wherein the environmental data includes temperature data, humidity data and dust data; The user data is obtained by acquiring attribute data of the current communication vehicle driver and passenger based on the communication device.

3. The electric door control method based on big data analysis according to claim 2 is characterized in that: The controlling the electric door to move based on the target data specifically includes: Matching the door opening and closing time based on the position data, wherein the door opening and closing time includes the set door opening and closing time and the braking response time of the door opening and closing; Matching a door opening mode based on the user data and / or the location data, wherein the door opening mode includes a door opening angle and a door opening height; A cabin door ventilation mechanism is matched based on the environmental data, wherein the cabin door ventilation mechanism includes active ventilation and passive ventilation.

4. The electric door control method based on big data analysis according to claim 3 is characterized in that: The matching of the door ventilation mechanism based on the environmental data specifically includes: Extracting characteristic values ​​from the temperature data, the humidity data, and the dust data to obtain a temperature characteristic value, a humidity characteristic value, and a dust characteristic value; Based on different characteristic values ​​combined with a preset value range, the landing point is judged to match the corresponding hatch ventilation mechanism, wherein: Based on the temperature characteristic value, identifying the landing area within the temperature value range, wherein if it falls within the target temperature range, active ventilation is matched, otherwise passive ventilation is matched; Based on the humidity characteristic value, identifying the landing area within the humidity value range, wherein if it falls within the target humidity range, active ventilation is matched, otherwise passive ventilation is matched; Based on the dust characteristic value, the landing point area within the dust value range is identified, wherein if it falls within the target dust concentration, active ventilation is matched, otherwise passive ventilation is matched.

5. The electric door control method based on big data analysis according to claim 4 is characterized in that: The receiving control command data and performing command extraction based on the control command data to identify the target command specifically includes: synchronously receiving the control command data based on the user data; Performing command factor key value identification based on the control command data; Therefore, the command line in the control command data is extracted based on the recognition result to obtain the target command, wherein the target command includes an immediate command and a large data update command.

6. The electric door control method based on big data analysis according to claim 5 is characterized in that: The controlling self-correction based on the target command combined with the current target data, thereby controlling the electric door to move based on the self-corrected composite command, specifically includes: The target data to be adjusted is matched based on the target command, so as to self-correct the target data based on the target command, wherein: Immediately modifying the action content of the target data based on the immediate command; The action content of the target data is dynamically updated based on the large data update command.

7. An electric door control system based on big data analysis, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises an electric door control method program based on big data analysis, and when the electric door control method program based on big data analysis is executed by the processor, the following steps are implemented: Acquiring target data, wherein the target data includes at least location data, environment data, and user data; Controlling the electric door to perform an action based on the target data, wherein the action content includes at least a door opening and closing time, a door opening and closing mode, and a door ventilation mechanism; receiving control command data, and performing command extraction based on the control command data to identify a target command; Based on the target command combined with current target data, control self-correction is performed, so that the electric door is controlled to move based on the composite command after self-correction.

8. The electric door control system based on big data analysis according to claim 7 is characterized in that: The obtaining of target data specifically includes: The target data is acquired based on a preset acquisition device, wherein the acquisition device includes a positioning device, a sensor device and a communication device, wherein: Acquiring the geographical location of the current communication vehicle based on the positioning device to obtain the location data, wherein the location data includes key areas and non-key areas; The environmental data is obtained based on the sensor data acquired by the sensor device within a preset range of the current communication vehicle, wherein the environmental data includes temperature data, humidity data and dust data; The user data is obtained by acquiring attribute data of the current communication vehicle driver and passenger based on the communication device.

9. The electric door control system based on big data analysis according to claim 8, characterized in that: The controlling the electric door to move based on the target data specifically includes: Matching the door opening and closing time based on the position data, wherein the door opening and closing time includes the set door opening and closing time and the braking response time of the door opening and closing; Matching a door opening mode based on the user data and / or the location data, wherein the door opening mode includes a door opening angle and a door opening height; A cabin door ventilation mechanism is matched based on the environmental data, wherein the cabin door ventilation mechanism includes active ventilation and passive ventilation.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes an electric door control method program based on big data analysis. When the electric door control method program based on big data analysis is executed by a processor, the steps of an electric door control method based on big data analysis as described in any one of claims 1 to 6 are implemented.

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