Library microclimate environment sensing device and method based on 5G communication

Abstract

The application discloses a library microclimate environment sensing device and method based on 5G communication and belongs to the meteorological wireless sensing monitoring field.The device comprises an edge sensing subsystem, a fusion control subsystem, a cloud computing response subsystem and a cloud analysis decision subsystem.The edge sensing subsystem senses real-time environment data and displays the real-time environment data, and simultaneously transmits the real-time environment data to the fusion control subsystem, which then transmits the real-time environment data to the cloud computing response subsystem; the cloud computing response subsystem compares historical data and performs fusion calculation to obtain a working state determination result and a reference value, and feeds back the working state determination result and the reference value to the fusion control subsystem, which forwards the working state determination result and the reference value to the edge sensing subsystem for display, so as to assist librarians in making decisions on the starting and adjustment of the cooling equipment of each layer and each room, thereby reducing carbon emissions of the library.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of meteorological wireless sensing monitoring, and mainly relates to a library microclimate environment sensing device and method based on 5G communication. BACKGROUND

[0002] Traditional library environment sensing devices are mainly installed by wiring or ZigBee network during the construction of library buildings, and are directly connected to the main controller for single display without considering the value of the microclimate environment data after the convergence of various devices. Moreover, since the library is affected by outdoor weather conditions and has a large floor area, there are differences in the temperature, humidity and illuminance of the microclimate environment in the internal reading rooms, book libraries, machine rooms and the like, so that the indoor microclimate environment is difficult to monitor. In the construction of various libraries in China, especially in the old libraries with large space, the cooling equipment is not intelligent enough, and the rapid increase in the number of visitors in the future cannot be considered at the beginning of the construction, so that the cooling equipment often leads to insufficient heat exchange capacity, slow start of cooling and dehumidification, and time lag, and over-regulation often occurs, so that the librarian needs to repeatedly operate subjectively according to the on-site sensing and reader feedback.

[0003] The current library still has serious deficiencies in library environment supervision and service means, which are not light, humanized and intelligent enough, and the library environment cannot be fully understood, so the improvement and intelligent construction in this regard need to be increased. SUMMARY

[0004] The present application solves the problem of the background art and proposes a library microclimate environment sensing device and method based on 5G communication. The present application detects and collects the temperature and humidity of the environment of the reading rooms, book libraries, machine rooms and the like in the library, displays the environmental data on each edge sensing subsystem, transmits the real-time environmental data of the edge sensing subsystem to the fusion control subsystem, and then transmits the real-time environmental data to the cloud computing response subsystem, compares the historical data of each edge sensing subsystem, and returns the device abnormal state if the data is out of the normal range. Moreover, the future one-hour weather elements of the position are fused and calculated to obtain an adjustment value, and the distribution of the microclimate elements of the entire library can also be drawn according to the position. The above application scenarios are used to assist the librarian in making decisions on the start and adjustment of the cooling and heating equipment of each floor and each room, so as to reduce the carbon emission of the library.

[0005] In order to achieve the above purpose, the solution of the present application is as follows:

[0006] A library microclimate environment sensing device based on 5G communication, comprising a plurality of edge sensing subsystems, a fusion control subsystem and a cloud computing response subsystem.

[0007] Each edge perception subsystem is distributed in each monitoring area of the library, and perceives real-time environment data in the library;

[0008] The fusion control subsystem receives the real-time environment data perceived by each edge perception subsystem, and transmits the real-time environment data to the cloud computing response subsystem;

[0009] The cloud computing response subsystem performs anomaly detection and fusion calculation on the received real-time environment data, and feeds back the result to the fusion control subsystem;

[0010] The fusion control subsystem issues the result fed back by the cloud computing response subsystem to each edge perception subsystem.

[0011] As a further optimization scheme of the present application, the edge perception subsystem comprises a sensing perception unit, a 5G communication unit, a microcontroller unit, and a power supply and display unit, the power supply and display unit comprises a display module and a power supply module for power supply, and the microcontroller unit is connected with the sensing perception unit, the 5G communication unit and the display module respectively.

[0012] As a further optimization scheme of the present application, the sensing perception unit comprises a temperature sensor and a humidity sensor.

[0013] As a further optimization scheme of the present application, if a certain edge perception subsystem changes, the edge perception subsystem reports its ID and position information to the fusion control subsystem.

[0014] As a further optimization scheme of the present application, the cloud computing response subsystem performs anomaly detection and fusion calculation on the real-time environment data perceived by any edge perception subsystem, specifically:

[0015] 1) Based on the historical data of the edge perception subsystem, it is judged whether the real-time environment data is in the interval [-2*S+A, 2*S+A], if not, it is determined that the edge perception subsystem is in an abnormal working state, otherwise, the edge perception subsystem is in a normal working state, and the real-time environment data is saved; wherein A is the average value of the historical data, and S is the standard deviation of the historical data;

[0016] 2) Based on the historical data of the edge perception subsystem, the anomaly value is calculated;

[0017] 3) Based on the anomaly value, the adjustment value is calculated:

[0018] V=sig(V s -V t )*INT(ln(max(1,(V t+1 -V t )))·f(t))

[0019] Wherein, V is the adjustment value of the current t moment, is a positive value representing upward adjustment of the library internal environment setting value, is a negative value representing downward adjustment of the library internal environment setting value; sig(·) represents the sign function; INT(·) represents the integer function, ln(·) is the logarithmic function, and max(·) represents the maximum value function; the weight V t+1 V is the forecast value of the future 1 hour city environment data of the current t moment, V t V is the real-time environment data in the library at the current t moment, V s D represents the setting value of the library cooling equipment, D is the anomaly value at the current t moment, and b is a constant parameter.

[0020] As a further optimization scheme of the present application, the cloud computing response subsystem sends the determination result of the working state and the adjustment value of each edge perception subsystem to each edge perception subsystem, and each edge perception subsystem displays the determination result of the working state and the adjustment value.

[0021] As a further optimization scheme of the present application, the device further comprises a cloud analysis and decision subsystem connected with the cloud computing response subsystem, for showing the environmental data within the authority according to the user request.

[0022] The present application also provides a library microclimate environment perception method based on the above-mentioned device, and the specific steps are as follows:

[0023] Step 1: When connecting to the fusion control subsystem for the first time, the edge perception subsystem reports its ID and position information to the fusion control subsystem;

[0024] Step 2: Each edge perception subsystem perceives real-time environmental data;

[0025] Step 3: The fusion control subsystem collects the real-time environmental data perceived by each edge perception subsystem and transmits it to the cloud computing response subsystem;

[0026] Step 4: After receiving the real-time environmental data perceived by each edge perception subsystem, the cloud computing response subsystem performs anomaly detection and fusion calculation, and feeds back the determination result of the working state and the adjustment value of each edge perception subsystem to the fusion control subsystem;

[0027] Step 5: The fusion control subsystem issues the corresponding determination result of the working state and the adjustment value to each edge perception subsystem, which displays the determination result of the working state and the adjustment value.

[0028] The present application also provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions that, when executed by a computing device, cause the computing device to perform the method as described above.

[0029] The application also provides a computing device comprising one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, and the one or more programs comprise instructions for executing the method as described above.

[0030] Compared with the prior art, the application has the advantages that the technical solution provided by the application has double monitoring of the cloud and the edge node, is more accurate, and is convenient for assisting library management personnel in decision-making, and has high practical value in libraries. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 is a structural diagram of the device of the application. DETAILED DESCRIPTION

[0032] The application will be further described in detail below in combination with specific embodiments.

[0033] In one embodiment, the device is divided into functional modules, as shown in Figure 1 The library microclimate environment sensing device based on 5G communication according to the application is divided into an edge sensing subsystem, a fusion control subsystem, a cloud computing response subsystem, and a cloud analysis and decision-making subsystem.

[0034] The edge sensing subsystem is distributed in different monitoring areas (different floors or different buildings) according to the conditions of the campus library, and forms a network covering the library building by connecting the fusion control subsystem. Each edge sensing subsystem detects the surrounding environment data in real time and sends the acquired data to the fusion control subsystem. The fusion control subsystem serves as the control brain and is deployed only in the campus; its deployment position is not limited in the detection area; and the edge sensing subsystem can be set up in multiple numbers, so that the entire device realizes the function while being not affected by the communication distance. At the same time, the edge sensing subsystem uses 5G communication and is connected with the nearby base station, is not affected by the signal coverage, and has high expansibility; the fusion control subsystem is deployed in the campus network environment, and all or part of the massive data received from the edge sensing subsystem is unidirectionally transmitted to the cloud computing response subsystem through the Internet, so as to ensure the safety of the data in the campus network. The cloud computing response subsystem performs abnormality checking and fusion calculation and returns the working state and adjustment value. The cloud analysis and decision-making subsystem assists in display and decision-making based on the checking and calculation results of the cloud computing response subsystem.

[0035] In an embodiment, the fusion control subsystem can receive data transmitted by multiple edge perception subsystems, and send the ID of each edge perception subsystem and all or part of the collected data to the cloud computing response subsystem according to the data authority level set by the administrator. The fusion control subsystem is deployed in the campus network environment, and unidirectionally transmits massive data to the cloud computing response subsystem. At the same time, the VLR database is used to store the ID and location information of each edge perception subsystem. Whenever there is a change in the edge perception subsystem, the edge perception subsystem actively reports for the first time and updates the information in the VLR database.

[0036] In an embodiment, the cloud computing response subsystem receives data transmitted by the fusion control subsystem. The received data includes the ID of each edge perception subsystem, location information, and real-time environmental data. The following steps are performed:

[0037] 1) Based on the historical data of the edge perception subsystem, it is judged whether the real-time environmental data is within the interval [-2*S+A, 2*S+A], if yes, it is determined that the edge perception subsystem is in an abnormal working state, otherwise the edge perception subsystem is in a normal working state, and the real-time environmental data is saved; wherein A is the average value of the historical data, and S is the standard deviation of the historical data;

[0038] 2) Based on the historical data of the edge perception subsystem, the corresponding anomaly value is calculated;

[0039] 3) Based on the anomaly value, the adjustment value is calculated:

[0040] V=sig(V s -V t )*INT(ln(max(1,(V t+1 -V t )))·f(t))

[0041] Wherein V is the adjustment value at the current t time, V is a positive value representing upward adjustment of the library indoor environment setting value, V is a negative value representing downward adjustment of the library indoor environment setting value; sig(·) represents the sign function, INT(·) represents the integer function, ln(·) is the logarithmic function, max(·) represents the maximum value function; the weight V t+1 is the predicted value of the future 1-hour city environment data at the current t time, V t is the real-time library indoor environment data at the current t time, V s represents the library indoor refrigeration equipment setting value, D is the anomaly value at the current t time, and b is a constant parameter.

[0042] In one embodiment, the edge perception subsystem includes: a sensing perception unit, a 5G communication unit, a microcontroller unit, a power supply and display unit. Among them:

[0043] The sensing perception unit includes temperature sensors and humidity sensors; for sensing environmental information and converting it into sensor signals. And send data to the microcontroller unit.

[0044] 5G communication unit: using the most advanced ultra-large antenna, intelligent reflecting surface technology, to realize high energy efficiency, low power consumption, low latency data wireless communication transmission between this unit and the fusion control subsystem.

[0045] Microcontroller unit: connected with sensing perception unit, 5G communication unit, power supply and display unit, this unit as the control center of the edge node (where the edge perception subsystem is located), after obtaining real-time environmental data from the sensing perception unit, sending messages to the fusion control subsystem through the 5G communication unit, and waiting for the fusion control subsystem to return information. Among them, the sent message contains the following contents: local address, master address, length, data type, data, parity check code, the specific meaning is shown in Table 1.

[0046] Table 1: sent message

[0047]

[0048] Power supply and display unit: provides power supply for the entire edge node and indicator light display, LCD data display. In normal working state, the status indicator light is green and long. If an abnormal state is received from the microcontroller unit, the status indicator light is red and flashes; the LCD screen displays the environmental data and adjustment value transmitted by the microcontroller unit in real time.

[0049] In one embodiment, the cloud computing response subsystem further receives the real-time temperature and humidity, and performs the following steps:

[0050] First, retrieve the historical data of the edge perception subsystem, and determine whether the real-time environmental data is within the interval [-2*S+A, 2*S+A], where A is the historical average value of the environmental data of the day, and S is the standard deviation. If not, it is determined that the edge perception subsystem is in an abnormal working state; otherwise, it is determined that the edge perception subsystem is in a normal working state, and the real-time environmental data of the edge perception subsystem is stored in the database.

[0051] Then, obtain the one-year historical values of temperature and humidity of the edge perception subsystem from the database, and calculate the corresponding anomaly values respectively.

[0052] Then, based on the maximum value of daily temperature is generally 14 points, the maximum value of humidity is generally 0 points, respectively, take b = 14, b = 0, the temperature, humidity, corresponding weight:

[0053]

[0054]

[0055] Where, t represents hours, its value range is [0, 24]; D T , D rh , respectively represent the temperature, humidity anomaly value.

[0056] Then, from the public network to obtain the edge perception subsystem in the city temperature, humidity 1 hour forecast value as follows, get the temperature, humidity adjustment value V T , V rh :

[0057]

[0058]

[0059] Where, respectively represent the temperature, humidity of the city 1 hour forecast value, represent the real-time indoor environment data for the current t time, represent the current t time cooling equipment set value

[0060] Finally, the edge perception subsystem ID, working state determination results and adjustment value V T , V rh returned to the fusion control subsystem.

[0061] In one embodiment, the fusion control subsystem to each edge perception subsystem issued corresponding working state determination results and adjustment value V T , V rh .

[0062] In one embodiment, the cloud analysis and decision subsystem is used to display the microclimate environment data set and heat map distribution within its authority according to user request.

[0063] The traditional library environment sensing device is buried line installation or ZigBee network. In the device of the application, the edge sensing subsystem adopts 5G wireless communication, has the characteristics of just-in-time connection, high scalability, wide coverage, high reliability and low latency; the fusion control subsystem is only responsible for data collection and processing, and the hardware cost is low. And relying on the one-way transmission of the campus network to transmit massive data, it not only reduces the hardware production cost, but also ensures the safety of the internal network data, while reducing the consumption of 5G traffic. The cloud computing response subsystem and the cloud analysis decision subsystem are deployed on the Internet for access by various terminals, effectively reducing the load pressure on the entire device. Therefore, the device has high practical value in the library and can be applied to the scene of multiple branch libraries in the campus or reading rooms distributed on different floors or buildings.

[0064] Because the library is affected by outdoor meteorological conditions, and the temperature, humidity and illuminance of the microclimate environment in the internal reading rooms, book libraries, machine rooms and other environments are different due to the relatively large floor area, the indoor microclimate environment is difficult to monitor. In the buildings of various libraries in China, especially in the old libraries with large space, the cooling equipment is not intelligent enough, and the rapid increase in the number of visitors in the future cannot be considered at the beginning of the construction of the library. The cooling equipment often leads to insufficient heat exchange capacity, slow start of cooling and dehumidification, and time lag, and often over-regulates, so the librarian needs to repeatedly operate subjectively according to the on-site sensing and reader feedback. In the application, the cloud computing response subsystem and the cloud communicate with each other, and the real-time data and the forecast data for the next 1 hour are fused to provide a reference adjustment value for the future environmental data of the specific room in the library, which is more intelligent than the traditional environment sensing device. The librarian can not only view the microclimate environment data of each floor and each room in the library and understand the real environmental data of the reading rooms, book libraries and machine rooms, but also can refer to the adjustment value sent by the cloud to assist in decision-making, which is more convenient for precise adjustment of the microclimate environment for reading and learning of readers, thereby reducing the carbon emissions of the library. At the same time, the cloud analysis decision subsystem can timely find the abnormality of the microclimate environment of a room through the difference between real-time data and historical data. Because the preservation quality and time of books in the library are greatly related to the temperature and humidity parameters in the library, the application has very important significance for protecting books.

[0065] In one embodiment, the device of the application is deployed in a university library in a certain city, and the involved modules are as shown in Figure 1 The edge sensing subsystem is installed in each branch library, dense book library and reading room of each college of the university library, a total of 10; the fusion control subsystem is built in the information center; the cloud computing response subsystem and the cloud analysis decision subsystem are deployed on the cloud. The steps of the library microclimate environment sensing method are as follows:

[0066] Step 1: When first connected with the fusion control subsystem, the edge perception subsystem actively reports its ID and location information. The fusion control subsystem stores the "edge perception subsystem and its location information in the VLR database.

[0067] Step 2: Each edge perception subsystem works independently. The edge perception subsystem includes a sensing perception unit, a 5G communication unit, a microcontroller unit, a power supply and display unit, and other modules. The specific execution process is as follows:

[0068] a) The sensing perception unit perceives the microclimate data of the room through temperature sensors, humidity sensors, etc. and transmits it to the microcontroller unit.

[0069] b) The microcontroller unit obtains real-time environmental data from the "sensing perception unit", adds the edge perception subsystem ID information, and hands it over to the microcontroller unit.

[0070] c) The microcontroller unit sends information to the fusion control subsystem through the 5G communication unit and waits for the fusion control subsystem to return information. If the returned information is received, step 5 is executed. Otherwise, wait.

[0071] Step 3: The fusion control subsystem collects data from each edge perception subsystem, and according to the data permission level, it transmits part of the massive data to the cloud computing response subsystem through the Internet in one direction.

[0072] Step 4: After receiving the fusion control subsystem message, the cloud computing response subsystem returns the normal / abnormal working state determination result and adjustment value of each edge perception subsystem to the fusion control subsystem through calculation.

[0073] Step 5: The fusion control subsystem sends information to the edge perception subsystem, and the microcontroller unit of the edge perception subsystem enters processing mode: according to the normal / abnormal working state sent by the fusion control subsystem, the microcontroller unit controls the indicator light of the power supply and display unit to be green constant / red flashing. At the same time, based on the display of the real-time environmental data of the edge node, the LCD screen of the power supply and display unit displays the corresponding adjustment value.

[0074] Step 6: The cloud analysis and decision subsystem displays the microclimate environmental data set and heat map distribution within the user's permission for auxiliary display and librarian decision-making according to user requests.

[0075] The data processing process in the above method is consistent with the device part, which is not repeated here.

[0076] Based on the same technical solutions, the application further discloses a computer readable storage medium storing one or more programs, the one or more programs including instructions which, when executed by a computing device, cause the computing device to perform the method.

[0077] Based on the same technical solutions, the application further discloses a computing device including one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, and the one or more programs include instructions for performing the method.

[0078] Those skilled in the art will understand that embodiments of the application can be provided as methods, systems, or computer program products. Therefore, the application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) containing computer usable program code.

[0079] The application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a device that implements the flow Figure 1 The flow or multiple flows and / or blocks Figure 1 The device that implements the functions specified in the flow or multiple flows and / or blocks.

[0080] These computer program instructions can also be stored in a computer readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer readable memory produce a manufactured product including instruction devices that implement the flow Figure 1 The flow or multiple flows and / or blocks Figure 1 The device that implements the functions specified in the flow or multiple flows and / or blocks.

[0081] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a process for implementing the flow Figure 1one or more processes and / or blocks Figure 1 steps of a function specified in one or more blocks.

[0082] The above merely provides an embodiment of the present application, but is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.

Claims

1. A library microclimate environment sensing device based on 5G communication, characterized by, It includes several edge sensing subsystems, fusion control subsystems, and cloud computing response subsystems; Each edge sensing subsystem is distributed across various monitoring areas of the library to sense real-time environmental data within the library; The fusion control subsystem receives real-time environmental data perceived by each edge sensing subsystem and transmits it to the cloud computing response subsystem. The cloud computing response subsystem performs anomaly detection and fusion calculation on the received real-time environmental data, and feeds the results back to the fusion control subsystem; The fusion control subsystem distributes the results from the cloud computing response subsystem to each edge sensing subsystem. The cloud computing response subsystem performs anomaly detection and fusion calculation on the real-time environmental data received from any edge sensing subsystem, specifically as follows: 1) Based on the historical data of the edge sensing subsystem, determine whether the real-time environmental data is within the range [-2*S+A, 2*S+A]. If not, determine that the edge sensing subsystem is in an abnormal working state; otherwise, the edge sensing subsystem is in a normal working state, and save the real-time environmental data. Where A is the average value of the historical data and S is the standard deviation of the historical data. 2) Calculate the corresponding anomaly value based on the historical data of this edge sensing subsystem; 3) Calculate the adjustment value based on the anomaly value: V = sig(V s − V t )*INT(ln(max(1,(V t+1 − V t )))·f(t)) wherein, V is the adjustment value at current time t; sig(·) represents the sign function; INT(·) represents the integer function, ln(·) is the logarithmic function, max(·) represents the maximum value function; the weight V t+1 is the forecast value of the future 1-hour urban environment data at current time t, V t is the real-time environment data at current time t, V s represents the setting value of the refrigeration equipment in the library, D is the anomaly value at current time t, and b is a constant parameter.

2. The apparatus of claim 1, wherein, The edge sensing subsystem includes a sensing unit, a 5G communication unit, a microcontroller unit, and a power supply and display unit. The power supply and display unit includes a display module and a power supply module for power supply. The microcontroller unit is connected to the sensing unit, the 5G communication unit, and the display module.

3. The apparatus of claim 2, wherein, The sensing unit includes a temperature sensor and a humidity sensor.

4. The apparatus of claim 1, wherein, If a change occurs in a certain edge sensing subsystem, the edge sensing subsystem reports its ID and location information to the fusion control subsystem.

5. The apparatus of claim 1, wherein, The fusion control subsystem sends the cloud computing response subsystem's judgment results and adjustment values ​​of the working status of each edge sensing subsystem to each edge sensing subsystem, and each edge sensing subsystem displays the judgment results and adjustment values ​​of the working status.

6. The apparatus according to claim 1, characterized in that, The device also includes a cloud analytics and decision-making subsystem connected to the cloud computing response subsystem, which displays environmental data within the user's permissions upon request.

7. A library microclimate environment sensing method based on the device described in any one of claims 1 to 6, characterized in that, The specific steps are as follows: Step 1: Upon initial connection with the fusion control subsystem, the edge sensing subsystem reports its own ID and location information to the fusion control subsystem; Step 2: Each edge sensing subsystem senses real-time environmental data; Step 3: The fusion control subsystem collects real-time environmental data sensed by each edge sensing subsystem and transmits it to the cloud computing response subsystem; Step 4: After receiving the real-time environmental data perceived by each edge sensing subsystem, the cloud computing response subsystem performs anomaly detection and fusion calculation, and feeds back the working status judgment results and adjustment values ​​of each edge sensing subsystem to the fusion control subsystem. Step 5: The fusion control subsystem sends the corresponding working status judgment results and adjustment values ​​to each edge sensing subsystem, which are then displayed by the edge sensing subsystem.

8. A computer-readable storage medium storing one or more programs, said one or more programs comprising instructions, characterized in that, When the instruction is executed by the computing device, it causes the computing device to perform the method as described in claim 7.

9. A computing device, characterized in that, It includes one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, and the one or more programs include instructions for performing the method of claim 7.

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