Mobile Internet of Things operation data management method and apparatus, and electronic device

Abstract

The invention discloses a mobile internet of things operation data management method and device and electronic equipment, and relates to the technical field of internet of things data processing, and the method comprises the steps: obtaining the attribute information of energy consumption equipment when determining that the energy consumption of any park is greater than a preset energy consumption standard, determining target parks with the same energy consumption equipment according to the attribute information of the energy consumption equipment and simulation model attribute data contained in the digital twin platform, obtaining second positioning information of the target parks, and obtaining first user data of the same energy consumption equipment in a historical duration from a database corresponding to each target park, acquiring first historical operation information of the same energy consumption equipment in the target park and second user data of the energy consumption equipment in the park with the energy consumption exceeding the standard; obtaining target operation information of the same energy consumption equipment with the similarity meeting a preset requirement; and controlling the energy consumption equipment in the energy consumption exceeding park according to the target operation information and the acquisition result of the mobile Internet of Things equipment in the energy consumption exceeding park, and storing generated operation data.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things data processing, and in particular to a method, device, electronic device, computer-readable storage medium and computer program product for managing mobile Internet of Things operation data. Background Art

[0002] With the development of mobile Internet of Things technology, it provides strong technical support and guarantee for the construction and development of smart parks. It combines Internet of Things technology with mobile communication technology, so that various devices in smart parks can access the network anytime and anywhere, and realize wireless communication and data transmission between devices. Smart parks are equipped with a variety of different types of intelligent mobile Internet of Things devices connected by mobile Internet of Things technology, such as smart elevators, mobile vending machines, smart lighting systems, etc. Through mobile Internet of Things, mobile terminals or remote control terminals can remotely monitor, manage and control park equipment. In order to achieve energy-saving effects and park control needs, different smart parks will set the operation mode of their configured mobile Internet of Things devices based on human experience, such as the activation time setting within a day, the usage time setting, the operating power setting under different operating conditions, the parameters to be followed when pedestrians are detected, and the parameters to be followed after pedestrians leave. Due to the limitations of human experience, there are problems such as unreasonable settings and low intelligence, and to a certain extent, it may also cause energy waste. Summary of the invention

[0003] In view of this, the embodiments of the present invention provide a mobile Internet of Things operation data management method, device and electronic device to solve the problems of poor management effect, low intelligence level and energy waste in the existing smart park management method.

[0004] According to the first aspect, an embodiment of the present invention provides a mobile Internet of Things operation data management method, which is applied to an operation data monitoring system, wherein the operation data monitoring system is communicatively connected to a digital twin platform and multiple parks, and the digital twin platform pre-builds a simulation model of each park; the method includes: when it is determined based on the statistical results of the energy consumption data of each park that the energy consumption of any park within the target time period is greater than the preset energy consumption standard, the mobile Internet of Things operation data of the park with excessive energy consumption is obtained, and the mobile Internet of Things operation data includes attribute information of the energy-consuming equipment and first positioning information; based on the attribute information of the energy-consuming equipment and the simulation model attribute data contained in the digital twin platform, a target park with the same energy-consuming equipment as the park with excessive energy consumption is determined and the second positioning information of the same energy-consuming equipment in the corresponding target park is obtained, and the target park is a park whose energy consumption meets the preset energy consumption requirements. ; According to the second positioning information, obtain the first user data of the same energy-consuming equipment within the historical period from the database corresponding to each target park, the first user data including the first user usage of the equipment and the first user quantity within the target area; obtain the first historical operation information of the same energy-consuming equipment in each target park and the second user data of the energy-consuming equipment in the energy-consuming park exceeding the standard within the same historical period, the second user data including the second user usage of the equipment and the second user quantity within the target area; obtain the first historical operation information of the same energy-consuming equipment whose similarity between the first user data and the second user data meets the preset requirements, and use it as the target operation information; according to the target operation information and the collection results of user data by the mobile Internet of Things devices in the energy-consuming park exceeding the standard, control the energy-consuming equipment in the energy-consuming park exceeding the standard and store the generated operation data.

[0005] Optionally, the user data collection results of the mobile Internet of Things devices in the park with excessive energy consumption include: user data collected by sensors configured for the energy-consuming devices in the park with excessive energy consumption and user data collected by public sensors in the park with excessive energy consumption; the energy-consuming devices in the park with excessive energy consumption are controlled according to the target operation information and the user data collection results of the mobile Internet of Things devices in the park with excessive energy consumption, including: when the user data collected by sensors configured for the energy-consuming devices in the park with excessive energy consumption and the user data collected by public sensors in the park with excessive energy consumption represent the same user behavior state, the energy-consuming devices in the park with excessive energy consumption are controlled to operate according to the target operation information corresponding to the current user behavior state.

[0006] Optionally, the mobile Internet of Things operation data also includes second historical operation information of energy-consuming equipment in the park where energy consumption exceeds the standard; the method also includes: comparing the second historical operation information with the corresponding target operation information; when the energy consumption generated by the second historical operation information within a preset time period is lower than the energy consumption generated by the target operation information within a corresponding time period, controlling the energy-consuming equipment in the park where energy consumption exceeds the standard to operate according to the second historical operation information.

[0007] Optionally, the method also includes: when any park contains a new type of energy-consuming terminal, obtaining the first historical operation data of the new type of energy-consuming terminal and the second historical operation data of other mobile Internet of Things terminals in the park; performing statistical analysis on the first historical operation data and the second historical operation data; determining other mobile Internet of Things terminals that have an associated relationship with it based on the statistical analysis results; and controlling the current operation mode of the new type of energy-consuming terminal based on the current operation information of other mobile Internet of Things terminals that have an associated relationship with it and the sensor information of the new type of energy-consuming terminal itself.

[0008] Optionally, the method also includes: when the energy consumption of each park meets the requirements, the mobile Internet of Things operation data of each park is stored in a target database according to a preset category and the data in the target database is managed according to a preset interval duration.

[0009] According to the second aspect, an embodiment of the present invention provides a mobile Internet of Things operation data management device, which is applied to an operation data monitoring system, wherein the operation data monitoring system is communicatively connected to a digital twin platform and multiple parks, and the digital twin platform pre-builds a simulation model of each park; it includes: a first acquisition module, which is used to obtain the mobile Internet of Things operation data of the park with excessive energy consumption when it is determined based on the statistical results of the energy consumption data of each park that the energy consumption of any park within the target time period is greater than the preset energy consumption standard, and the mobile Internet of Things operation data includes the attribute information of the energy-consuming equipment and the first positioning information; a first determination module, which is used to determine the target park with the same energy-consuming equipment as the park with excessive energy consumption based on the attribute information of the energy-consuming equipment and the simulation model attribute data contained in the digital twin platform, and obtain the second positioning information of the same energy-consuming equipment in the corresponding target park, wherein the target park is a park whose energy consumption meets the preset energy consumption requirements; a second acquisition module, which is used to determine the target park with the same energy-consuming equipment as the park with excessive energy consumption based on the attribute information of the energy-consuming equipment and the simulation model attribute data contained in the digital twin platform, and obtain the second positioning information of the same energy-consuming equipment in the corresponding target park. The second positioning information obtains the first user data of the same energy-consuming device within the historical period from the database corresponding to each target park, and the first user data includes the first user usage of the device and the first user quantity within the target area; the third acquisition module is used to obtain the first historical operation information of the same energy-consuming device in each target park and the second user data of the energy-consuming device in the energy-exceeding park within the same historical period, and the second user data includes the second user usage of the device and the second user quantity within the target area; the fourth acquisition module is used to obtain the first historical operation information of the same energy-consuming device whose similarity between the first user data and the second user data meets the preset requirements, and use it as the target operation information; the first management module is used to control the energy-consuming equipment in the energy-exceeding park according to the target operation information and the collection results of user data by the mobile Internet of Things devices in the energy-exceeding park and store the generated operation data.

[0010] Optionally, the results of user data collection by mobile Internet of Things devices in the park with excessive energy consumption include: user data collected by sensors configured on the energy-consuming devices themselves in the park with excessive energy consumption and user data collected by public sensors in the park with excessive energy consumption; the first management module includes: a control submodule, which is used to control the energy-consuming devices in the park with excessive energy consumption to operate according to the target operation information corresponding to the current user behavior state when the user data collected by sensors configured on the energy-consuming devices themselves in the park with excessive energy consumption and the user data collected by public sensors in the park with excessive energy consumption represent the same user behavior state.

[0011] According to the third aspect, an embodiment of the present invention provides an electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the mobile Internet of Things operation data management method described in the first aspect or any optional implementation manner of the first aspect by executing the computer instructions.

[0012] According to the fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the mobile Internet of Things operation data management method described in the first aspect or any optional implementation manner of the first aspect.

[0013] According to the fifth aspect, an embodiment of the present invention provides a computer program product, including computer instructions, which are used to enable a computer to execute the mobile Internet of Things operation data management method described in the above-mentioned first aspect or any corresponding embodiment.

[0014] The mobile Internet of Things operation data management method provided in the embodiment of the present invention is applied to an operation data monitoring system, which is communicatively connected with a digital twin platform and multiple parks. The digital twin platform pre-builds a simulation model of each park, obtains attribute information and first positioning information of energy-consuming equipment in the park with excessive energy consumption, finds the same energy-consuming equipment containing the same attribute information in other parks from the digital twin platform according to the attribute information of the energy-consuming equipment, determines the first user data of the same energy-consuming equipment within a historical period according to the positioning information of the same energy-consuming equipment, compares the first user data with the second user data of the energy-consuming equipment in the park with excessive energy consumption for similarity, and finds the energy-consuming equipment in the park with excessive energy consumption in the user period. The target operating data of energy-consuming equipment in other parks with similar data are combined with the target operating data and the user data collected by the mobile Internet of Things devices in the park with excessive energy consumption to control the operation of the energy-consuming equipment in the park; compared with the way in which any park sets the operating parameters of the equipment based only on its own manual experience, the present application combines the mobile Internet of Things operation data stored in the historical operation process, extracts the operating information of the same energy-consuming equipment in other parks that meet the energy-saving requirements, and controls the operation of the energy-consuming equipment in the park with excessive energy consumption, thereby improving the intelligence and accuracy of the management method of the energy-consuming equipment and avoiding energy waste to a certain extent. At the same time, compared with manual setting of the operating parameters, the method provided in the embodiment of the present application is also more convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 is a flow chart of a method for managing mobile Internet of Things operation data according to an embodiment of the present invention;

[0017] Figure 2 is a structural block diagram of a mobile Internet of Things operation data management device according to an embodiment of the present invention;

[0018] Figure 3 It is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] According to an embodiment of the present invention, an embodiment of a mobile Internet of Things operation data management method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0021] In this embodiment, a mobile Internet of Things operation data management method is provided, which can be applied to an operation data monitoring system. Through the operation data monitoring system, authorized mobile Internet of Things operation data can be obtained from different parks, such as static attribute operation data such as equipment identification and tag types, energy consumption data (such as current, voltage, power, etc.), asset attribute data (such as equipment specification parameters, location, etc.) and diagnostic data (such as equipment operation parameters and other data that can characterize the operation status) and other dynamic operation data, wherein the equipment operation parameters may include operating conditions, operating power and operating time under different operating powers, etc.; while being able to realize basic management of the park's mobile Internet of Things operation data, it can further realize intelligent management combined with operation data; the operation data monitoring system is connected to the digital twin platform and multiple parks in communication, and the digital twin platform pre-builds a simulation model of each park, and each simulation model stores simulation renderings of all facilities in the park and attribute data of the facilities, so as to understand the attribute changes of each device node during the simulation process when simulating goals such as park energy consumption or operation efficiency. Figure 1 As shown, the process includes the following steps:

[0022] Step 101, when it is determined based on the statistical results of the energy consumption data of each park that the energy consumption of any park within the target time period is greater than the preset energy consumption standard, the mobile Internet of Things operation data of the park with excessive energy consumption is obtained, and the mobile Internet of Things operation data includes attribute information of energy-consuming equipment and first positioning information;

[0023] Exemplarily, the operation data monitoring system can obtain the mobile Internet of Things operation data from each park in real time, and can collect statistics on the energy consumption data contained therein. The statistical duration can be determined according to the target duration of energy consumption monitoring. The target duration can be one day, two days or one week. The embodiment of the present application does not limit the target duration and can be selected according to the energy consumption indicator monitoring requirements of different parks; in the embodiment of the present application, the attribute information of the energy-consuming equipment may include equipment identification information, type information and other information that can characterize the basic attributes and basic configuration of the equipment. The first positioning information can obtain the specific location of the equipment in the park based on the mobile Internet of Things interaction technology or directly obtain the positioning information of the energy-consuming equipment from the database.

[0024] Step 102 determines a target park having the same energy-consuming equipment as the park with excessive energy consumption according to the attribute information of the energy-consuming equipment and the simulation model attribute data contained in the digital twin platform, and obtains second positioning information of the same energy-consuming equipment in the corresponding target park, wherein the target park is a park whose energy consumption meets the preset energy consumption requirements;

[0025] Exemplarily, the attribute information of the energy-consuming equipment in the park where energy consumption exceeds the standard is matched with the simulation model attribute data of the energy-consuming equipment in other parks included in the digital twin platform, and the same type of energy-consuming equipment is found in other parks based on the matching results and the second positioning information of the energy-consuming equipment is obtained; when each energy-consuming equipment included in the park where energy consumption exceeds the standard can be found in other parks as the same equipment in use, the other parks are searched and matched one by one according to the attribute information of each energy-consuming equipment to find the same energy-consuming equipment in other parks corresponding to each type of energy-consuming equipment.

[0026] Step 103: acquiring first user data of the same energy-consuming device within a historical period from a database corresponding to each target park according to the second positioning information, wherein the first user data includes usage of the device by the first user and the amount of first users within the target area;

[0027] Exemplarily, in the embodiment of the present application, the historical duration can be the same as the target duration in step 101. Taking the target duration as one day as an example, the user data of the same energy-consuming device of the previous day or the user data of the same energy-consuming device of the current day can be obtained to ensure that the operation data of the same energy-consuming device obtained subsequently is of reference value. The target duration can also be used as a unit duration, and multiple unit durations can be used as historical durations. That is, when the target duration is one day, user data of five historical days can be obtained, so that the user data counted from multiple unit durations has more comparison and statistical value, which is convenient for accurately finding the same energy-consuming devices whose similarity meets the requirements in the subsequent period.

[0028] The amount of first users within the target area is determined with the second positioning information as the center. The embodiment of the present application does not limit the size of the target distance. For example, it can be determined based on the number of energy-consuming devices deployed in the park and the distance between adjacent energy-consuming devices. For example, if the distance between two adjacent energy-consuming devices of the same type is 200 meters, a circular area with a radius of 100 is defined as the target area with the second positioning information as the center, or the area can be determined by clustering based on historical user trajectories with the location of the same energy-consuming device as the center. For example, the user trajectory can be used to determine how far away from the energy-consuming device a user will use the energy-consuming device, and the target area that meets the user's usage habits can be set by clustering. The amount of first users can be obtained based on statistical analysis of image acquisition devices such as cameras installed in the park, and the usage of the first user can be obtained based on usage records contained in the operating data of the energy-consuming device over a historical period of time.

[0029] Step 104, obtain the first historical operation information of the same energy-consuming equipment in each target park and the second user data of the energy-consuming equipment in the park with excessive energy consumption within the same historical time period, wherein the second user data includes the second user usage of the equipment and the second user volume within the target area; exemplarily, the first historical operation information may include the operating conditions (such as idle state, user usage state, etc.), operating power and corresponding operating time of the same energy-consuming equipment in the target park within the historical time period, and other information that can reflect the operating status of the equipment, which can be specifically obtained from the historical operation data of the equipment; the method for determining the second user volume and the second user usage is the same as the above-mentioned first user volume and first user usage, respectively, and statistical search is performed in combination with the first positioning information, which will not be repeated here.

[0030] Step 105 : obtaining first historical operation information of the same energy-consuming device whose similarity between the first user data and the second user data meets a preset requirement, and using the first historical operation information as target operation information.

[0031] Exemplarily, the similarity comparison method between the first user data and the second user data can be to divide the historical duration into multiple time periods, respectively count the number of users and the user usage in different time periods, and determine the similarity between the first user data and the second user data by the trend of the statistical curve. It is also possible to calculate the ratio of the user usage to the user volume in different time periods to determine the proportion of users entering the target area and using the energy-consuming device. By counting the proportion of different time periods, it is then determined whether the usage of the same type of energy-consuming devices in different parks in different time periods within the historical duration is similar, that is, whether the operation data of the same energy-consuming device is referenceable. When each ratio value floats within a preset range, it indicates that the operation control method of the same energy-consuming device between parks has reference value. The first historical operation information of the park energy-consuming device that meets the similarity requirements, has reference value, and meets the energy consumption requirements is used as the target operation information for the park with excessive energy consumption to control the operation of the corresponding energy-consuming device. When there are multiple other parks that contain the same energy-consuming device and their operation data meet the similarity requirements, multiple similarity calculation results can be sorted, and the first historical operation information with the best similarity is selected as the target operation information. In the embodiment of the present application, the target operating information may be all operating information of the same energy-consuming equipment under all working conditions, such as the activation time, the activation duration, the power at which it operates when a user is using it, how long it operates at a certain power when the user leaves, and how long it enters sleep mode at what time of the day. The embodiment of the present application does not limit the type of the operating information. As long as the operating information can be adjusted, it can be adjusted by referring to the data of other parks.

[0032] Step 106, controlling the energy-consuming devices in the energy-consuming park exceeding the standard and storing the generated operation data according to the target operation information and the collection results of user data by the mobile Internet of Things devices in the energy-consuming park exceeding the standard;

[0033] By way of example, in the embodiment of the present application, the user data collection result of the mobile Internet of Things device in the energy consumption exceeding standard park may be the user data collected by the energy consumption device's own sensor, such as the user data collected by the energy consumption device's own infrared sensor. When the user operation information is collected, that is, it indicates that the user wants to use the device, the power operation in the use state can be switched immediately. It may also be the user data collected by the mobile Internet of Things device in the park that has an associated relationship with the energy consumption device. The execution of the operation strategy of the energy consumption device is triggered according to the user data collected by the mobile Internet of Things device with an associated relationship. Taking the energy consumption device as a smart vending machine as an example, when the smart vending machine is connected to the smart vending machine, the smart vending machine can be connected to the smart vending machine. When the smart elevator detects that a pedestrian is using it, it can send pedestrian information to the smart vending machine, so that the smart vending machine within a certain distance from the elevator terminal can be switched from sleep state to working state in advance for the convenience of users. Then, the energy-consuming equipment in the current park can be controlled in combination with the target operation information in the corresponding state (which may be used by users) obtained from other parks. For example, when no user data is detected, the operation of the energy-consuming equipment can be controlled according to the operating parameters in the sleep state in the matched target operation information, and the operating data generated by the energy-consuming equipment can be stored at the same time to provide reference data for the subsequent operation of equipment in other parks.

[0034] The mobile Internet of Things operation data management method provided in the embodiment of the present invention is compared with the method in which any park sets the operating parameters of the equipment based solely on its own manual experience. This application combines the mobile Internet of Things operation data stored in the historical operation process to extract the operating information of the same energy-consuming equipment in other parks that meet the energy-saving requirements, and controls the operation of the energy-consuming equipment in the park with excessive energy consumption. This improves the intelligence and accuracy of the management method of the energy-consuming equipment and can also avoid energy waste to a certain extent. At the same time, compared with manual setting of the operating parameters, the method provided in the embodiment of the present application is also more convenient.

[0035] For a park, the usage and demand of park equipment by users may change in different time periods. Therefore, the energy consumption of each park can be monitored continuously at certain intervals, and more suitable operating parameters can be found from other parks. This can ensure user use while reducing energy consumption as much as possible.

[0036] As an optional implementation manner of the embodiment of the present invention, the collection results of user data by mobile Internet of Things devices in the energy-consuming park exceeding the standard include: user data collected by sensors configured by the energy-consuming devices themselves in the energy-consuming park exceeding the standard and user data collected by public sensors in the energy-consuming park exceeding the standard; in the embodiment of the present application, the sensors configured by the energy-consuming devices themselves in the energy-consuming park exceeding the standard may be infrared sensors, cameras, etc., and the public sensors in the energy-consuming park exceeding the standard may be public cameras installed in the park to accurately collect the conditions around the energy-consuming devices.

[0037] Step 106 includes: when the user data collected by the sensors configured on the energy-consuming equipment in the energy-consuming excess park and the user data collected by the public sensors in the energy-consuming excess park represent the same user behavior state, the energy-consuming equipment in the energy-consuming excess park is controlled to operate according to the target operation information corresponding to the current user behavior state.

[0038] Exemplarily, when user data collected based on sensors under two different subjects both determine that the user has behavioral status data that may need to use the device, the energy-consuming equipment in the park with excessive energy consumption is controlled to operate according to the target operation information corresponding to the current user state, that is, the power operation can be switched from the sleep state to the working state; if the sensors under the two different subjects have not collected user data within a certain period of time, the power operation is switched from the current working state to the sleep state; compared to the method of controlling energy-consuming equipment based on the detection results of only a single sensor of the device itself, the present application also combines the user data collected by the mobile Internet of Things device itself and the user data collected by third-party devices, avoiding the problem of inaccurate collection results due to failure of a single sensor or decreased sensitivity, which in turn affects the normal use of users.

[0039] Optionally, when the sensors configured by the energy-consuming devices in the energy-exceeding park do not collect user data but the public sensors in the energy-exceeding park collect user data, the energy-consuming devices in the energy-exceeding park can be controlled to still operate at the operating power when there are users, that is, the sensors configured by the energy-consuming devices in the energy-exceeding park do not receive user data, but the data collected by the public cameras, the data collection results are more credible than infrared sensors, etc., avoiding the possibility of false detection or missed detection; or when the sensors configured by the energy-consuming devices in the energy-exceeding park collect user data but the public sensors in the energy-exceeding park do not collect user data, at this time, the device can be controlled according to the credibility of the data collected by the device itself in the current park, whether to execute according to the collection results of its own sensors, which is not limited by the embodiments of the present application; for example, the user data collected by the device's own sensors can be determined based on the historical false detection or missed detection or complaint data of its own sensors, and whether to trigger the corresponding operation mode.

[0040] As an optional implementation manner of the embodiment of the present invention, the mobile Internet of Things operation data also includes second historical operation information of energy-consuming equipment in the park where energy consumption exceeds the standard; the method also includes: comparing the second historical operation information with the corresponding target operation information; when the energy consumption generated by the second historical operation information within a preset time period is lower than the energy consumption generated by the target operation information within a corresponding time period, controlling the energy-consuming equipment in the park where energy consumption exceeds the standard to operate according to the second historical operation information.

[0041] Exemplarily, since the reason for the current overall energy consumption exceeding the standard in the park may not be caused by the current energy-consuming equipment, the operation mode of the energy-consuming equipment contained in other parks whose overall energy consumption does not exceed the standard may not necessarily be the most economical and optimal. Therefore, the second historical operation information is compared with the corresponding target operation information that is matched. When the energy consumption generated by the second historical operation information within the preset time period is lower than the energy consumption generated by the target operation information within the corresponding time period, the energy-consuming equipment in the park where the energy consumption exceeds the standard is controlled to still operate according to the second historical operation information, and then the next energy-consuming equipment in the current park whose operation mode can be optimized is found, which saves the adjustment time of the current energy-consuming equipment while avoiding further waste of the park's electricity. The preset time in the embodiment of the present application can be a unit time period, such as one hour, etc. The embodiment of the present application is not limited to this, as long as the energy consumption of different operation information can be determined. Alternatively, the operating information under different operating conditions can be obtained, and the second historical operating information under different operating conditions can be compared with the target operating information under the corresponding conditions. The second historical operating information with energy consumption lower than the target operating information can be retained, and the second historical operating information with energy consumption higher than the target operating information can be used to guide the operation of the equipment under the corresponding conditions according to the target operating information.

[0042] As an optional implementation of the embodiment of the present invention, the method further includes: when any park contains a new type of energy-consuming terminal, obtaining first historical operation data of the new type of energy-consuming terminal and second historical operation data of other mobile Internet of Things terminals in the park; performing statistical analysis on the first historical operation data and the second historical operation data; and determining other mobile Internet of Things terminals that have an associated relationship with it according to the statistical analysis results;

[0043] Exemplarily, the new type of energy-consuming terminal is a terminal device that is not available in other parks. In order to improve the energy utilization rate of the new type of energy-consuming terminal, the first historical operation data of the new type of energy-consuming terminal and the second historical operation data of other mobile Internet of Things terminals in the park can be obtained. By statistically analyzing the first historical operation data and the second historical operation data, it is determined whether there is a positive correlation. For example, when the user usage of other Internet of Things terminals increases, whether the user usage of the new type of energy-consuming terminal also increases in the same time period. Taking smart elevators and smart vending machines as examples, when the number of users of the smart elevator increases in a certain time period, the usage of the adjacent smart vending machines in the corresponding time period also increases. In this case, the devices with a positive correlation will be regarded as associated devices of the new type of energy-consuming devices.

[0044] The current operation mode of the new type of energy-consuming terminal is controlled according to the current operation information of other mobile Internet of Things terminals associated with it and the sensor information of the new type of energy-consuming terminal itself. Exemplarily, by combining the current operation information of other mobile Internet of Things terminals associated with it and the sensor information of the new type of energy-consuming terminal itself to determine the current operation mode of the new type of energy-consuming terminal, it is avoided that when operating only according to its own sensor information, there are problems such as energy waste caused by unreasonable operation logic settings or failure of a single sensor, which affect the normal operation of the energy-consuming terminal, and improve the user experience. For example, when the operating power of the smart elevator increases, it indicates that the number of users has increased. At this time, the smart vending machine can be controlled to wake up in advance, and the operating parameters under the working condition can be executed when the sensor detects that someone is approaching.

[0045] As an optional implementation of the embodiment of the present invention, the method also includes: when the energy consumption of each park meets the requirements, the mobile Internet of Things operation data of each park is stored in the target database according to a preset category and the data in the target database is managed according to a preset interval duration.

[0046] Exemplarily, the mobile Internet of Things operation data of each park can be stored according to the type of energy-consuming equipment to reduce the amount of data processing when the same energy-consuming equipment is matched later. At the same time, the data in the target database can be managed according to the preset interval time, which may include regular cleaning, deletion or regular analysis of the stored data to determine the energy consumption of different devices, so as to facilitate timely adjustment of the operation mode of the equipment in accordance with the method described in the above embodiment. That is, when it is monitored that the overall energy consumption of any park exceeds the standard, the operation mode of the energy-consuming equipment that has the most serious impact on the overall energy consumption of the park can be adjusted in priority according to the analysis results of the historical operation data.

[0047] In this embodiment, a mobile Internet of Things operation data management device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. The term "module" used below can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0048] This embodiment provides a mobile Internet of Things operation data management device, which is applied to an operation data monitoring system. The operation data monitoring system is connected to a digital twin platform and multiple parks in communication. The digital twin platform pre-builds a simulation model of each park. Figure 2 As shown, including:

[0049] The first acquisition module 201 is used to obtain the mobile Internet of Things operation data of the park where the energy consumption exceeds the preset energy consumption standard when it is determined according to the statistical results of the energy consumption data of each park that the energy consumption of any park within the target time period is greater than the preset energy consumption standard, and the mobile Internet of Things operation data includes the attribute information of the energy-consuming device and the first positioning information;

[0050] The first determination module 202 is used to determine a target park having the same energy-consuming equipment as the park with excessive energy consumption according to the attribute information of the energy-consuming equipment and the simulation model attribute data contained in the digital twin platform, and obtain second positioning information of the same energy-consuming equipment in the corresponding target park, wherein the target park is a park whose energy consumption meets the preset energy consumption requirements;

[0051] A second acquisition module 203 is used to acquire first user data of the same energy-consuming device within a historical period from a database corresponding to each target park according to the second positioning information, wherein the first user data includes a usage amount of the first user of the device and a first user amount within a target area;

[0052] The third acquisition module 204 is used to obtain the first historical operation information of the same energy-consuming equipment in each target park and the second user data of the energy-consuming equipment in the park with excessive energy consumption within the same historical period, wherein the second user data includes the second user usage of the equipment and the second user quantity within the target area;

[0053] The fourth acquisition module 205 is used to acquire first historical operation information of the same energy-consuming device whose similarity between the first user data and the second user data meets a preset requirement, and use the first historical operation information as the target operation information;

[0054] The first management module 206 is used to control the energy-consuming devices in the energy-consuming park and store the generated operation data according to the target operation information and the collection results of user data by the mobile Internet of Things devices in the energy-consuming park. For detailed description, please refer to the relevant description corresponding to the above method embodiment, which will not be repeated here.

[0055] The mobile Internet of Things operation data management device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0056] Compared with the method in which any park sets the operating parameters of the equipment based solely on its own manual experience, the mobile Internet of Things operation data management device provided in this embodiment combines the mobile Internet of Things operation data stored in the historical operation process to extract the operation information of the same energy-consuming equipment in other parks that meet the energy-saving requirements, and controls the operation of the energy-consuming equipment in the parks with excessive energy consumption. This improves the intelligence and accuracy of the management method of the energy-consuming equipment and can also avoid energy waste to a certain extent. At the same time, compared with manual setting of the operating parameters, the method provided by the embodiment of the present application is also more convenient.

[0057] As an optional implementation mode of the embodiment of the present invention, the collection results of user data by mobile Internet of Things devices in the energy-consuming park with excessive energy consumption include: user data collected by sensors configured on the energy-consuming devices themselves in the energy-consuming park with excessive energy consumption and user data collected by public sensors in the energy-consuming park with excessive energy consumption; the first management module includes: a control submodule, which is used to control the energy-consuming devices in the energy-consuming park with excessive energy consumption to operate according to the target operation information corresponding to the current user behavior state when the user data collected by sensors configured on the energy-consuming devices themselves in the energy-consuming park with excessive energy consumption and the user data collected by public sensors in the energy-consuming park with excessive energy consumption represent the same user behavior state.

[0058] As an optional implementation manner of the embodiment of the present invention, the mobile Internet of Things operation data also includes second historical operation information of energy-consuming equipment in the park with excessive energy consumption; the device also includes: a comparison module, used to compare the second historical operation information with the corresponding target operation information; a second control module, used to control the energy-consuming equipment in the park with excessive energy consumption to operate according to the second historical operation information when the energy consumption generated by the second historical operation information within a preset time period is lower than the energy consumption generated by the target operation information within a corresponding time period.

[0059] As an optional implementation of the embodiment of the present invention, the device also includes: a fifth acquisition module, which is used to obtain the first historical operation data of the new type of energy-consuming terminal and the second historical operation data of other mobile Internet of Things terminals in the park when any park contains a new type of energy-consuming terminal; an analysis module, which is used to perform statistical analysis on the first historical operation data and the second historical operation data; a second determination module, which is used to determine other mobile Internet of Things terminals that have an associated relationship with it based on the statistical analysis results; and a third control module, which is used to control the current operation mode of the new type of energy-consuming terminal based on the current operation information of other mobile Internet of Things terminals that have an associated relationship with it and the sensor information of the new type of energy-consuming terminal itself.

[0060] As an optional implementation of the embodiment of the present invention, the device also includes: a second management module, which is used to store the mobile Internet of Things operation data of each park into a target database according to a preset category when the energy consumption of each park meets the requirements, and to manage the data in the target database according to a preset interval duration.

[0061] The further functional description of each of the above modules is the same as that of the above corresponding embodiments and will not be repeated here.

[0062] The embodiment of the present invention also provides an electronic device having the above Figure 2 The mobile Internet of Things operation data management device shown.

[0063] See also Figure 3 , Figure 3 is a schematic diagram of a structure of a device provided by an optional embodiment of the present invention, such as Figure 3 As shown, the device may include: at least one processor 601, such as a central processing unit (CPU), at least one communication interface 603, a memory 604, and at least one communication bus 602. The communication bus 602 is used to realize the connection and communication between these components. The communication interface 603 may include a display screen (Display), a keyboard (Keyboard), and the optional communication interface 603 may also include a standard wired interface and a wireless interface. The memory 604 may be a high-speed volatile random access memory (Random Access Memory, RAM), or a non-volatile memory (non-volatile memory), such as at least one disk storage. The memory 604 may optionally be at least one storage device located away from the aforementioned processor 601. The processor 601 may be combined with Figure 2In the described device, the memory 604 stores an application program, and the processor 601 calls the program code stored in the memory 604 to execute any of the above method steps.

[0064] The communication bus 602 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The communication bus 602 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 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.

[0065] Among them, the memory 604 may include a volatile memory (English: volatile memory), such as a random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD); the memory 604 may also include a combination of the above types of memory.

[0066] The processor 601 may be a central processing unit (CPU), a network processor (NP), or a combination of a CPU and a NP.

[0067] The processor 601 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD) or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL) or any combination thereof.

[0068] Optionally, the memory 604 is also used to store program instructions. The processor 601 can call the program instructions to implement the present application Figure 1The mobile Internet of Things operation data management method shown in the embodiment.

[0069] The embodiment of the present invention also provides a non-transitory computer storage medium, which stores computer executable instructions, and the computer executable instructions can execute the processing method of the mobile Internet of Things operation data management method in any of the above method embodiments. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (FlashMemory), a hard disk (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above types of memory.

[0070] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0071] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for managing mobile Internet of Things operation data, characterized in that: Applied to an operation data monitoring system, the operation data monitoring system is connected to a digital twin platform and multiple parks in communication, and the digital twin platform has a simulation model of each park pre-built; the method includes: When it is determined based on the statistical results of the energy consumption data of each park that the energy consumption of any park within the target time period is greater than the preset energy consumption standard, the mobile Internet of Things operation data of the park with excessive energy consumption is obtained, and the mobile Internet of Things operation data includes attribute information of energy-consuming equipment and first positioning information; According to the attribute information of the energy-consuming equipment and the simulation model attribute data contained in the digital twin platform, a target park having the same energy-consuming equipment as the park with excessive energy consumption is determined, and second positioning information of the same energy-consuming equipment in the corresponding target park is obtained, wherein the target park is a park whose energy consumption meets the preset energy consumption requirements; According to the second positioning information, first user data of the same energy-consuming device in a historical period is obtained from a database corresponding to each target park, where the first user data includes the usage of the first user of the device and the amount of first users within the target area; Obtaining first historical operation information of the same energy-consuming equipment in each target park and second user data of the energy-consuming equipment in the park with excessive energy consumption within the same historical period, wherein the second user data includes the second user usage of the equipment and the second user quantity within the target area; Acquire first historical operation information of the same energy-consuming device whose similarity between the first user data and the second user data meets preset requirements, and use the first historical operation information as target operation information; According to the target operation information and the results of user data collection by mobile Internet of Things devices in the energy consumption exceeding standard park, the energy-consuming equipment in the energy consumption exceeding standard park is controlled and the generated operation data is stored.

2. The method according to claim 1, characterized in that The collection results of user data by mobile Internet of Things devices in the energy-consumption-exceeding park include: user data collected by sensors configured by the energy-consuming devices in the energy-consumption-exceeding park and user data collected by public sensors in the energy-consumption-exceeding park; the energy-consuming devices in the energy-consumption-exceeding park are controlled according to the target operation information and the collection results of user data by mobile Internet of Things devices in the energy-consumption-exceeding park, including: When the user data collected by the sensors configured on the energy-consuming equipment in the energy-consuming park exceeding the standard and the user data collected by the public sensors in the energy-consuming park exceeding the standard represent the same user behavior state, the energy-consuming equipment in the energy-consuming park exceeding the standard is controlled to operate according to the target operation information corresponding to the current user behavior state.

3. The method according to claim 2, characterized in that The mobile Internet of Things operation data also includes second historical operation information of energy-consuming equipment in the energy-consuming exceeding standard park; the method also includes: comparing the second historical operation information with the corresponding target operation information; When the energy consumption generated by the second historical operation information within a preset time period is lower than the energy consumption generated by the target operation information within a corresponding time period, the energy-consuming equipment in the energy-exceeding park is controlled to operate according to the second historical operation information.

4. The method according to claim 1, characterized in that: The method further comprises: When any park contains a new type of energy-consuming terminal, first historical operation data of the new type of energy-consuming terminal and second historical operation data of other mobile Internet of Things terminals in the park are obtained; Performing statistical analysis on the first historical operation data and the second historical operation data; Determine other mobile IoT terminals with which it has an associated relationship based on statistical analysis results; The current operation mode of the new type of energy-consuming terminal is controlled according to the current operation information of other mobile Internet of Things terminals that are associated with it and the sensor information of the new type of energy-consuming terminal itself.

5. The method according to claim 1, characterized in that The method further comprises: When the energy consumption of each park meets the requirements, the mobile Internet of Things operation data of each park is stored in the target database according to the preset category and the data in the target database is managed according to the preset interval time.

6. A mobile Internet of Things operation data management device, characterized in that: Applied to an operation data monitoring system, the operation data monitoring system is connected to a digital twin platform and multiple parks in communication, and the digital twin platform has a simulation model of each park pre-built; including: A first acquisition module is used to obtain mobile Internet of Things operation data of the park where energy consumption exceeds the preset energy consumption standard when it is determined according to the statistical results of the energy consumption data of each park that the energy consumption of any park within the target time period is greater than the preset energy consumption standard, wherein the mobile Internet of Things operation data includes attribute information of the energy-consuming device and the first positioning information; A first determination module is used to determine a target park having the same energy-consuming equipment as the park with excessive energy consumption according to the attribute information of the energy-consuming equipment and the simulation model attribute data contained in the digital twin platform, and obtain second positioning information of the same energy-consuming equipment in the corresponding target park, wherein the target park is a park whose energy consumption meets the preset energy consumption requirements; A second acquisition module is used to acquire first user data of the same energy-consuming device within a historical period from a database corresponding to each target park according to the second positioning information, wherein the first user data includes a usage amount of the first user of the device and a first user amount within a target area; The third acquisition module is used to obtain the first historical operation information of the same energy-consuming equipment in each target park and the second user data of the energy-consuming equipment in the park with excessive energy consumption within the same historical period, wherein the second user data includes the second user usage of the equipment and the second user quantity within the target area; A fourth acquisition module is used to acquire first historical operation information of the same energy-consuming device whose similarity between the first user data and the second user data meets a preset requirement, and use the first historical operation information as the target operation information; The first management module is used to control the energy-consuming equipment in the park where energy consumption exceeds the standard and store the generated operation data according to the target operation information and the collection results of user data by the mobile Internet of Things devices in the park where energy consumption exceeds the standard.

7. The device according to claim 6, characterized in that The collection results of user data by mobile Internet of Things devices in the energy-consuming park exceeding the standard include: user data collected by sensors configured by energy-consuming devices in the energy-consuming park exceeding the standard and user data collected by public sensors in the energy-consuming park exceeding the standard; the first management module includes: The control submodule is used to control the energy-consuming equipment in the energy-consuming park that exceeds the energy consumption standard to operate according to the target operation information corresponding to the current user behavior state when the user data collected by the sensors configured on the energy-consuming equipment in the energy-consuming park that exceeds the energy consumption standard and the user data collected by the public sensors in the energy-consuming park that exceeds the energy consumption standard represent the same user behavior state.

8. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the mobile Internet of Things operation data management method according to any one of claims 1 to 5 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the mobile Internet of Things operation data management method described in any one of claims 1-5.

10. A computer program product, characterized in that It includes computer instructions, which are used to enable a computer to execute the mobile Internet of Things operation data management method described in any one of claims 1-5.

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