A building automation system based on a digital platform

Abstract

The application relates to a building automatic control system based on a digital platform, and belongs to the technical field of control systems.The building automatic control system comprises a data acquisition module and a data analysis module.The data acquisition module is used for collecting fire information of each floor in a building, wherein the fire information at least comprises smoke density and floor temperature.The data analysis module is used for analyzing the fire information, selecting an escape mode of trapped personnel according to the fire information, and generating corresponding escape instructions according to different escape modes, wherein the escape instructions comprise escape instructions and avoidance instructions.In the application, when a fire occurs, the smoke density and the floor temperature of the current floor are acquired, the best preferred escape route is provided for personnel of each floor, and whether each floor personnel will meet a road section with excessively high temperature and excessively dense smoke in an escape period is calculated in real time, so that the personnel can be guided to a relatively safe route when losing the opportunity of direct escape.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of control system, and particularly relates to a building automatic control system based on a digital platform. BACKGROUND

[0002] With the development of city modernization, high-rise buildings gradually become mainstream, and for high-rise buildings, the fire problem is always worth paying attention to.

[0003] In high-rise buildings, once an uncontrollable fire occurs, rescue personnel can only arrive at the fire scene to start work, and in fact, the spread of fire and smoke needs a certain time, and at the initial stage of the fire, people far away from the fire source can escape through the fire passage within a certain time, but in order to meet the dense traffic flow, the high-rise building will usually be provided with at least 2-3 fire passages, and people who do not know the location of the fire source will be based on unknown fear and worry about being trapped in the fire passage or floor during the escape process, so it is difficult to choose the correct escape way, and thus the best escape opportunity is missed, and the dispersed personnel distribution will greatly increase the difficulty of one-by-one rescue of firefighters.

[0004] Therefore, a building automatic control system based on a digital platform is proposed to solve the above problems. SUMMARY

[0005] Technical problems to be solved

[0006] In view of the above shortcomings of the prior art, the application provides a building automatic control system based on a digital platform, which can effectively solve the problem of difficult and timely and effective self-rescue of high-rise buildings in the prior art.

[0007] Technical scheme

[0008] To achieve the above purpose, the application is implemented by the following technical scheme:

[0009] The application provides a building automatic control system based on a digital platform, comprising a data acquisition module for acquiring fire information of each floor in the building, wherein the fire information at least includes smoke density and floor temperature;

[0010] A data analysis module is used for analyzing the fire information and selecting an escape way of trapped personnel according to the fire information, and simultaneously generating corresponding escape instructions according to different escape ways, wherein the escape instructions include escape instructions and avoidance instructions;

[0011] A guide module is used for responding to the escape instructions and generating different prompt information according to the escape instructions to guide the escape personnel to select the corresponding escape route;

[0012] The specific determination method of the escape mode of the trapped personnel according to the fire information is as follows:

[0013] Step 1: Real-time analysis of the optimal escape route of the trapped personnel on the current floor according to the smoke density and the floor temperature of the current floor;

[0014] Step 2: Estimate the moving time t of the trapped personnel in the optimal escape route, and real-time predict whether the fire information of any section of the optimal escape route exceeds the standard value in the moving time t, if yes, issue an avoidance instruction, otherwise issue an escape instruction, the standard value at least includes the maximum temperature tolerance value.

[0015] Further, the analysis step of the optimal escape route in step 1 is as follows:

[0016] S1: Set the temperature level as n according to the temperature size, n=0, 1, 2, 3...m;

[0017] S2: Real-time obtain the real-time temperature s in the fire channel corresponding to different floors in the building, and match the multiple real-time temperatures s with the temperature levels one by one, wherein when s is between any two temperature levels, the temperature level of the corresponding area is recorded as the temperature level of the smaller temperature;

[0018] S3: Select the minimum value in the total sum of the temperature levels in the area passed by the trapped personnel to reach the safe position as the optimal escape route.

[0019] Further, the specific determination step of the escape instruction in step 2 is as follows:

[0020] Step 21: Establish a two-dimensional coordinate system with time as the x-axis and temperature as the y-axis, and real-time mark the temperature data of each fire channel in unit time in the two-dimensional coordinate system, while estimating the temperature rise of each fire channel in unit time;

[0021] Step 22: Set the maximum temperature tolerance value, estimate the maximum temperature in the optimal escape route in the moving time t according to the temperature rise obtained in step 21, when the maximum temperature in any time period in the moving time t is less than or equal to the maximum temperature tolerance value, issue an escape instruction, otherwise issue an avoidance instruction.

[0022] Further, step 2 further includes:

[0023] Step 221: Predict the predicted position of the escape personnel in the time period greater than the temperature tolerance value in the moving time t, and re-execute step 1 with the predicted position as the center and the range of radius r, if the fire information of any section of the screened optimal escape route exceeds the maximum temperature tolerance value, execute step 23

[0024] Step 23: the guiding module responds to the avoidance instruction and guides the escape personnel to select the floor with the lowest current danger coefficient and wait for rescue.

[0025] Further, the determination step of the danger coefficient in step 23 comprises:

[0026] Step 231: obtain the time l of the rescue personnel to implement rescue;

[0027] Step 232: establish all escape route models in the time period Δl based on the current position of the escape personnel and screen out the escape routes with small danger values, wherein the danger values at least comprise a maximum temperature value, and the smaller the danger value is, the lower the danger coefficient is.

[0028] Further, step 232 further comprises:

[0029] Step 233: when the maximum temperature value of any section of the escape route in the time period Δl exceeds the maximum temperature tolerance value, the escape route model is removed.

[0030] Further, the danger value further comprises a maximum smoke concentration, and the standard value further comprises a maximum smoke tolerance concentration.

[0031] Further, when the maximum smoke concentration exceeds the maximum smoke tolerance concentration, the escape route model is removed.

[0032] Further, when the danger values of all escape routes in the escape route model exceed the standard values, the escape route with the smallest temperature rise is selected based on the current position of the escape personnel.

[0033] Further, the guiding module comprises an indicator light sub-module and a voice module, the indicator light sub-module is provided on each floor of the building, a plurality of indicator light sub-modules are connected in series with the guiding module, and the voice module is used for issuing voice prompts and communicating with a digital platform through a network.

[0034] Beneficial effects

[0035] Compared with the known prior art, the technical scheme provided by the application has the following beneficial effects:

[0036] In the case of fire, the smoke concentration and the floor temperature of the current floor are obtained to provide the best preferred escape route for personnel on each floor, and it is calculated in real time whether the personnel on each floor will encounter a section with excessively high temperature and excessively dense smoke during the escape period, so that the personnel can be guided to a relatively safe route when they lose the opportunity to escape directly, and the personnel are gathered together, which facilitates the timely rescue of the fire-fighting or rescue personnel. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed in the embodiments or prior art description. Obviously, the drawings in the following description only show some of the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative effort.

[0038] Figure 1 A building automatic control system module schematic diagram in the embodiment of the present application;

[0039] Figure 2 A building automatic control system logic analysis schematic diagram in the embodiment of the present application;

[0040] Figure 3 A temperature rise range calculation method schematic diagram in the embodiment of the present application;

[0041] Figure 4 A building facade temperature grade distribution schematic diagram in the embodiment of the present application. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0043] In the description of the present application, unless explicitly defined and limited, the terms "connected", "connected", "fixed" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0044] In the present application, unless explicitly defined and limited, the first feature "on" or "under" the second feature can include that the first and second features are in direct contact, or the first and second features are not in direct contact but are in contact through another feature between them. Moreover, the first feature "on", "above" and "above" the second feature includes that the first feature is directly above and obliquely above the second feature, or only indicates that the horizontal height of the first feature is higher than that of the second feature. The first feature "under", "below" and "below" the second feature includes that the first feature is directly below and obliquely below the second feature, or only indicates that the horizontal height of the first feature is less than that of the second feature.

[0045] In the description of the embodiments, the terms "upper", "lower", "left", "right", and the like, orientation or positional relationship are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of description and simplification of operation, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first" and "second" are only used to distinguish in the description, and have no special meaning.

[0046] The application will be further described below in conjunction with the embodiments.

[0047] Embodiments:

[0048] In the prior art, the building height of high-rise buildings is mostly higher than 24 meters, and according to the "Building Design Fire Prevention Code" of China, high-rise residential buildings above 11 floors should be provided with two or more evacuation stairs and fire elevators, so there are often several evacuation stairs in the same floor.

[0049] In the event of a fire, most people wait for the help of firefighters, but in fact, if the correct route can be chosen in an orderly manner at the initial stage of the fire, the chances of escape will be greatly increased. However, under the influence of multiple escape stairs and lack of information such as the location of the fire source, the best opportunity to escape will be missed. However, the trapped personnel in high-rise buildings will also be greatly affected by thick smoke and temperature. The more deadly factor in a fire is smoke. When a person inhales a large amount of toxic and high-temperature gas, it can directly cause coma and suffocation or burn the lungs. Harmful gases commonly seen in fires include carbon monoxide, carbon dioxide, sulfides, cyanides, etc. If the concentration of carbon monoxide reaches 1.28%, a person can die in such an environment within 3 minutes. If the concentration of carbon dioxide reaches 3%, a person can suffocate within 1 minute. If it reaches 10%, a person can suffocate and die within a few seconds.

[0050] At the same time, the distribution of personnel is relatively dispersed in the event of a fire, so even if firefighters can control the fire to provide help, the rescue conditions are very poor, and it will take a lot of time to find trapped personnel.

[0051] Based on the above, the present application aims to design a kind of can be through in the event of a fire, by obtaining the smoke concentration and floor temperature of the current floor, to provide the best preferred escape route for each layer of personnel, and real-time calculation whether each layer of personnel will encounter a road section with too high temperature and too thick smoke in the escape period, so as to guide personnel to choose the best escape plan when they lose the opportunity to escape directly, to avoid and wait for rescue in a place with low temperature rising trend and smoke concentration rising trend. When firefighters or rescue personnel arrive, personnel gather in one place, reducing search and rescue time, and facilitating timely rescue.

[0052] Specifically, refer to the drawingsFigures 1-4 The automatic control system proposed in this embodiment mainly includes three parts: a data acquisition module, a data analysis module, and a guidance module. The data acquisition module is used to collect fire information on each floor of the building. The fire information includes at least smoke concentration and floor temperature. In practice, multiple smoke sensors and temperature sensors are arranged on each floor, especially in the corridors between rooms and in fire escape staircases or evacuation staircases. Multiple sensors acquire fire information on each floor in real time and upload it to the digital platform in real time. When the fire information is abnormal, the digital platform can issue an alarm.

[0053] When a fire inside a building cannot be controlled by the building's own fire protection facilities, the preferred option is to immediately evacuate people. The data analysis module is used to analyze fire information and select the escape method for trapped people based on the fire information. At the same time, it generates corresponding escape instructions based on different escape methods. The escape instructions include escape instructions and avoidance instructions.

[0054] The specific method for determining the escape method for trapped personnel based on fire information is as follows:

[0055] First, based on the real-time analysis of the smoke concentration and temperature of the current floor, the optimal escape route for the trapped personnel on the current floor is determined. This ensures that the trapped personnel will not encounter dense smoke and high temperatures that could endanger their lives when escaping along the optimal escape route. In principle, the further away the trapped personnel are from the fire source, the more they need to escape along the escape route that is further away from the fire source. However, the escape time for the trapped personnel who are close to the fire source is very limited, and they need to choose the correct escape route to escape danger.

[0056] Therefore, in this case, the temperature levels are first set as n according to the temperature magnitude, where n = 0, 1, 2, 3...m, as shown in the appendix. Figure 4 In the building facade shown, each floor has multiple different temperature levels. For example, when the temperature level is 1, the temperature is 20 degrees Celsius; when the temperature level is 2, the temperature is 40 degrees Celsius, and so on. Temperature level 6 in the figure is the fire source, with a temperature of 120 degrees Celsius. When the fire becomes uncontrollable, people trapped on different floors need to choose different escape routes. Since there are many fire escape stairs, certain calculations are needed to guide the choice of routes for the trapped people. In this case, the movement time t of the trapped people in the preferred escape route is estimated, and the fire information of any segment of the preferred escape route is predicted in real time during the movement time t to see if it exceeds the standard value. If it does, an evacuation command is issued; otherwise, an escape command is issued. The standard value includes at least the maximum temperature resistance value.

[0057] Secondly, real-time temperature s in the fire passage corresponding to different floors in the building is acquired, and the multiple real-time temperatures s are matched with temperature grades one by one, wherein when s is between any two temperature grades, the temperature grade in the corresponding area is recorded as the temperature grade of the smaller temperature.

[0058] Finally, the minimum value in the sum of temperature grades in the area through which the trapped personnel reach the safe position is selected as the preferred escape route, and if there is no escape route meeting the escape condition, the guiding module responds to the avoidance instruction and guides the escape personnel to select the floor with the lowest current danger coefficient and wait for rescue.

[0059] However, the selection of the route is only an expectation, and the speed of fire spread and smoke spread still needs to be considered. In a floor currently in a normal temperature grade, there is a large amount of flammable and explosive material, which causes the temperature and smoke concentration of the floor to rise too fast. When the escape personnel in one of the floors reach this position, the temperature and smoke there are already enough to endanger the life and health of the personnel. Therefore, more specifically, based on the real-time acquired floor temperature, a two-dimensional coordinate system is established with time as the x-axis and temperature as the y-axis, and the temperature data of each fire passage in a unit of time is marked in the two-dimensional coordinate system in real time, and the temperature rise of each fire passage in a unit of time is estimated.

[0060] Referring to FIG. 1, Figure 3 In the middle of a time period, a plurality of time nodes are set, taking x0 and x1 as examples, corresponding to y0 and y2 respectively, according to the formula Thus, the approximate temperature of y2 at the time node x2 can be roughly estimated.

[0061] If the trapped personnel in a floor escape according to the current optimal escape route, it is estimated that they will reach the bottom floor of the building and escape from danger in 5 minutes. According to the current temperature increase, it is determined whether the temperature will exceed the maximum temperature tolerance value within approximately 5 minutes. In order to improve data comparability, the time interval between x0 and x1 is set to be short, and a data is updated within 5 seconds.

[0062] For example, the trapped personnel on the 10th floor know that they can escape according to the current optimal escape route, and it is estimated that they will reach the safe position in 3-5 minutes. However, when they reach the 7th floor, the fire increases unpredictably, which may pose a danger to continue walking down. At this time, the following step is executed.

[0063] That is, in the selection of the escape route, the predicted position of the escape personnel in the period greater than the maximum temperature tolerance value within the moving time t is predicted in real time, and the step of re-executing the search for the optimal escape route in the range with the predicted position as the center and the radius r is performed, if the fire information of any route segment in the selected preferred escape route exceeds the maximum temperature tolerance value, the avoidance instruction is issued, and the current most suitable escape route for the trapped personnel is analyzed in real time.

[0064] It is worth noting that the calculation in the case is real-time calculation, the estimated value is in a floating state, and the extent of smoke spread is also estimated in this way.

[0065] In the selection of the escape route, when the temperature or smoke concentration of a certain position node in any route is sufficient to cause death, the route is directly eliminated from the alternative route.

[0066] The risk coefficient in the above is determined by first inputting the time l of the expected arrival and deployment of rescue personnel through the network or rescue personnel, and secondly, based on the current position of the escape personnel, all escape route models in the Δl time period are established and the escape route with a small risk value is selected, the risk value at least includes the maximum temperature value, the smaller the risk value, the lower the risk coefficient, the risk value also includes the maximum smoke concentration, the standard value includes the maximum smoke tolerance concentration in addition to the maximum temperature tolerance value, that is, in the comparison of the standard value, not only whether there is a maximum temperature that people cannot withstand and a maximum smoke concentration that people cannot accept needs to be considered.

[0067] In the case, the current position of the escape personnel can be entered into the digital platform in advance based on the setting position of the indicator light sub-module, the expected escape distance of the escape personnel on different floors is known, and the floating value can be set according to the actual number of personnel and whether there are old people and children, for example, there are three people in a room on a floor, but one of them is an old person with limited mobility, the escape speed is naturally slower than the other two, so a certain floating value needs to be added, originally 3 minutes can escape, when estimating the escape time, a floating value of 2-3 minutes needs to be added for fault tolerance.

[0068] More specifically, the lower the temperature and smoke concentration in the escape route or the smaller the spread trend, the route is preferentially selected, so that when the maximum temperature value of any route segment in the escape route within the Δl time period exceeds the maximum temperature tolerance value, the escape route model is eliminated, and when the maximum smoke concentration exceeds the maximum smoke tolerance concentration, the escape route model is eliminated.

[0069] And, based on the spreading trend of smoke concentration, it is assumed that at the initial stage of the fire, the smoke concentration in a certain passage in the 4th floor is still at the standard value, at this time the trapped personnel escape towards the 4th floor, but due to uncontrollable reasons, when the trapped personnel walks to the 5th floor, the smoke concentration is greatly increased and the personnel are difficult to pass through, at this time the escape route needs to be reselected.

[0070] It is worth mentioning that when the 5th floor and the 3rd floor both detect a certain concentration of smoke, the escape time of the trapped personnel from the 5th floor to the 3rd floor will be completely exposed to the smoke, and this exposure time is likely to affect the safety of human life, so this place also needs to be re-routed.

[0071] It is worth noting that in this case, the priority of determining the maximum smoke concentration is higher than that of determining the maximum temperature value. When the maximum smoke concentration in the escape route exceeds the maximum smoke tolerance concentration, the route is directly removed from the escape route model, and the maximum temperature value is not determined.

[0072] Further, when the hazard value of all escape routes in the escape route model exceeds the standard value, the escape route with the smallest temperature rise and / or smoke concentration rise is selected based on the current position of the escape personnel, which includes but is not limited to rooms, position points, guiding the escape personnel to select the escape route with the smallest temperature rise and / or smoke concentration rise and waiting for rescue, when the fire personnel implement rescue, the escape personnel will gather at the "gathering point" more conducive to rescue.

[0073] In the real-time estimation process, the maximum temperature in the optimal escape route is compared with the maximum temperature tolerance value, and the maximum temperature in 1-2 escape routes is allowed to exceed the maximum temperature tolerance value during the comparison process. However, according to the real-time temperature rise state, multiple or continuous data indicate that the maximum temperature in the escape route is likely to exceed the maximum temperature tolerance value, it is determined that this escape route is not the optimal choice. According to the temperature rise obtained in step 21, the maximum temperature in the optimal escape route is estimated within the moving time t, when the maximum temperature in any time period within the moving time t is less than or equal to the maximum temperature tolerance value, it is considered that the escape personnel can escape from the building based on the existing optimal escape route, then the escape instruction is issued, otherwise it is considered that the escape personnel may encounter danger in all routes, so the escape personnel must go to a temporary safe place to wait for rescue, therefore the avoidance instruction is issued.

[0074] The guiding module is used for responding to the escape instruction and generating different prompting information according to the escape instruction to guide the escape personnel to select the corresponding escape route.

[0075] When the fire occurs, the indicator light sub-modules corresponding to the optimal escape route in each floor are lighted, and the indicator light sub-modules which are dangerous or not the optimal escape route are turned off, the escape personnel can escape according to the route guided by the lighted indicator light sub-modules, and the voice module can communicate with the outside world in both directions, and the outside rescue personnel can issue instructions to facilitate the escape personnel to escape successfully.

[0076] The above embodiments are only used to illustrate the technical solutions of the present application, but not limit the same; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by the equivalent; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the protection scope of the technical solutions of the embodiments of the present application.

Claims

1. A digital platform based building automation system, characterized in that, The application relates to a fire evacuation system for buildings. The system comprises: a data collection module for collecting fire information of each floor in a building, wherein the fire information at least includes smoke density and floor temperature; a data analysis module for analyzing the fire information and selecting an evacuation mode of trapped personnel according to the fire information, and generating corresponding evacuation instructions according to different evacuation modes, wherein the evacuation instructions include escape instructions and avoidance instructions; a guiding module for responding to the evacuation instructions and generating different prompt information according to the evacuation instructions to guide the trapped personnel to select corresponding evacuation routes. The specific determination method of the evacuation mode of the trapped personnel according to the fire information is as follows: Step 2: Estimate the travel time of trapped personnel along the preferred escape route. and during the moving time The system can predict in real time whether the fire information of any segment in the preferred escape route exceeds the standard value. If it does, an evacuation command is issued; otherwise, an escape command is issued. The standard value includes at least the maximum temperature resistance value. Step 1: analyzing the optimal evacuation route of the trapped personnel on the current floor according to the smoke density and the floor temperature of the current floor in real time; The temperature levels are set according to the temperature size as , ; Real-time acquisition of real-time temperature in the fire passage corresponding to different floors in the building and matching the multiple real-time temperatures one by one with temperature grades, wherein when between any two temperature grades, the temperature grade in the corresponding area is recorded as the smaller temperature grade. The analysis step of the optimal evacuation route in step 1 is as follows: selecting the minimum value in the temperature level sum in the area through which the trapped personnel passes when reaching a safe position as the optimal evacuation route; The specific determination step of the evacuation instructions in step 2 is as follows: Step 22: Set the maximum temperature tolerance value, estimate the moving time according to the temperature rise obtained in step 21 the maximum temperature in the optimal escape route within the maximum temperature tolerance value, when the moving time If the maximum temperature in any one period within the maximum temperature tolerance value is less than or equal to the maximum temperature tolerance value, an escape instruction is issued, otherwise an avoidance instruction is issued; Step 21: establishing a two-dimensional coordinate system with time as the x-axis and temperature as the y-axis, marking the temperature data of each fire channel in a unit time in the two-dimensional coordinate system in real time, and estimating the temperature rise of each fire channel in a unit time; Step 221: predict the moving time If the fire information of any section in the selected escape route exceeds the maximum temperature resistance value, step 23 is performed. The step 2 further comprises: Step 23: the guiding module responds to the avoidance instructions and guides the trapped personnel to select a floor with the lowest current danger coefficient and wait for rescue; Step 231: Acquire the time at which the rescue personnel implements the rescue ; Step 232: establishing all escape route models in the time period based on the current position of the escape personnel and screening out escape routes with small danger values, the danger values at least including a maximum temperature value, the smaller the danger value, the lower the danger coefficient. all escape route models in the time period based on the current position of the escape personnel and screening out escape routes with small danger values, the danger values at least including a maximum temperature value, the smaller the danger value, the lower the danger coefficient.

2. The digital platform based building automation system of claim 1, wherein, The determination step of the danger coefficient in step 23 comprises: Step 233: When the maximum temperature value of a road segment in any of the escape routes exceeds the maximum temperature value in the time period, the escape route model is eliminated. Step 233: When the maximum temperature value of a road segment in any of the escape routes exceeds the maximum temperature value in the time period, the escape route model is eliminated.

3. The digital platform based building automation system of claim 2, wherein, The step 232 further comprises:

4. The digital platform based building automation system of claim 3, wherein, The danger value further includes the maximum smoke density, and the standard value further includes the maximum smoke tolerance density.

5. The digital platform based building automation system of claim 4, wherein, When the maximum smoke density exceeds the maximum smoke tolerance density, the evacuation route model is eliminated.

6. The digital platform based building automation system as claimed in claim 1 or 5, wherein, When the danger value of all the evacuation routes in the evacuation route model exceeds the standard value, an evacuation route with the minimum temperature rise is selected based on the current position of the trapped personnel. The guiding module comprises an indicator light sub-module and a voice module, the indicator light sub-module is arranged on each floor of the building, a plurality of indicator light sub-modules are arranged in series with the guiding module, and the voice module is used for issuing voice prompts and communicating with a digital platform through a network.

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