473 results about "Residential area" patented technology

The invention discloses a multi-source data fusion wind power plant micro-siting dynamic evaluation method, relates to the technical field of wind power plant siting, and solves the problem that a mainstream method still depends on single anemometer tower data or static GIS analysis during wind power plant siting in the prior art. The method comprises the following steps: firstly, acquiring wind measurement data of multiple sources, unifying the wind measurement data of different sampling frequencies into a set time window, and realizing spatial scale alignment through an interpolation method; then obtaining a wind energy score according to the annual average wind speed and the main wind direction frequency, obtaining a suitability score according to the distance to the residential area or the main road, obtaining an environmental impact factor according to the noise and the ecological protection area, and constructing a target function based on the wind energy score, the suitability score and the environmental impact factor; and finally, combining a genetic algorithm and a real-time optimization model of a wake flow interference model, and dynamically adjusting the evaluation tendency according to the evaluation score of the fan layout inversion site, so that the evaluation result is more comprehensive, scientific and reasonable.

The invention relates to the technical field of community new energy control, and discloses an orderly and rapid charging new energy control method, which comprises the following steps: collecting photovoltaic output data, power grid voltage / current data, user charging behavior data and battery state parameters in real time; generating a dynamic charging strategy based on the power grid load data, the time-of-use electricity price information, the photovoltaic output fluctuation range and the battery health state evaluation result; generating a corresponding local optimization strategy based on the operation state data of each charging pile; an economic index and a technical index are calculated, and when any index exceeds a preset threshold value, a strategy adjustment instruction is triggered, and a charging mode switching threshold value is updated; an equipment health index is generated by combining inverter temperature, coil coupling efficiency and insulation impedance parameters with historical fault data, and maintenance early warning is triggered when the health index is lower than a safety threshold value. According to the invention, the electricity cost of the user can be reduced on the basis of improving the multi-energy collaborative optimization capability of the charging facility in the residential area.

The invention discloses an ecological environment big data processing method based on mining area pollutant migration behavior modeling, and relates to the technical field of big data processing. Comprising the steps that protection points in a target range and geodetic coordinate values of a mining area are obtained, the protection points comprise a mass residential area, an ecological protection area and a water source protection area, and the geodetic coordinate values are used for representing latitude and longitude coordinates and the altitude; and according to the first group of geodetic coordinate values and the geodetic coordinate values of the mining area, the maximum diffusion range interval of the mining area pollutants is determined, and the first group of geodetic coordinate values specifically refer to the geodetic coordinate values taken by any protection point type. According to the method, the three-dimensional geodetic coordinates of the protection point and the mining area are obtained, the pollutant diffusion range is scientifically defined, it is ensured that the space coverage of pollution monitoring is comprehensive and effective, potential threats of mining area pollution to surrounding people residential areas, ecological protection areas and water source protection areas can be accurately recognized, and the risk of mining area pollution to the surrounding people residential areas, ecological protection areas and water source protection areas is reduced. And the accuracy and pertinence of environmental risk assessment are improved.

The invention provides a global adaptive power supply adjustment method and system under the condition of local load increase, and relates to the technical field of power system dispatching. The method comprises the following steps: acquiring regional power grid topology, equipment parameters and real-time operation data; historical power consumption data of classified users in recent three years are collected and preprocessed; generating a reference load curve based on real-time data and a historical rule, calculating a deviation ratio, predicting a load in future 2 hours, and outputting a risk level; the regional energy storage equipment is called to dynamically adjust the discharge power when the risk is medium or low, and the adjacent regional resources are evaluated and cross-regional line switching and power supply support are executed when the risk is high or the energy storage is insufficient. Through layered adjustment and a dynamic response mechanism, rapid identification and accurate control of sudden load increase are realized, power supply stability and resource utilization efficiency are improved, and the method is suitable for local load fluctuation response of scenes such as residential areas and industrial parks.

The invention discloses an electric power terminal equipment safety management and control system based on multi-source data fusion, and relates to the technical field of electric power equipment management and control, and the system comprises an electric meter data collection module which is used for collecting the flow characteristic sequence, the electric meter load sequence, the electric power data sequence and the communication characteristic sequence of a plurality of electric meters in a residential area in a preset time zone; the abnormal risk prediction module is used for carrying out network abnormal risk prediction and outputting a plurality of network abnormal risk coefficients; the abnormal ammeter distribution construction module is used for determining a plurality of abnormal ammeters and constructing abnormal ammeter distribution; and the ammeter operation and maintenance management and control module is used for setting an ammeter operation and maintenance scheme according to the abnormal concentration ratio to perform ammeter operation and maintenance management and control. According to the method and the device, the technical problems of poor management and control efficiency, accuracy and safety of the power terminal equipment caused by difficulty in accurately and comprehensively monitoring the state of the power equipment and incapability of predicting the network abnormal risk in advance in the prior art are solved, and the technical effect of improving the management and control efficiency, accuracy and safety of the equipment is achieved.

The invention relates to finger support that can be assembled to / disassembled from the firearm (1) in order to facilitate the control of the firearm (1) by providing the necessary power during effective aiming in the firearms (1) used in the residential area and shooting competitions and thus to ensure effective aiming.

The invention discloses an urban thermal exposure risk optimization method and system based on carbon emission dynamic regulation and control, and belongs to the technical field of urban climate adaptation and low-carbon planning, and the method comprises the steps: obtaining real-time carbon emission data and a weather short-time forecast result; and inputting the obtained real-time carbon emission data and the weather short-time forecast result into the trained thermal exposure risk transfer model, outputting a future thermal exposure risk level, and combining an early warning threshold value to realize the optimization of the urban thermal exposure risk by adopting differential regulation and control strategy matching. The method solves the problems that a dynamic correlation mechanism of carbon emission and thermal exposure is not clear, a regulation strategy lacks multi-scene adaptability and real-time performance and the like, supports rapid early warning, accurate regulation and effect verification of thermal exposure risks, provides scientific support for urban thermal environment management, low-carbon development planning and resident health guarantee, and is suitable for popularization and application. The method is suitable for climate toughness optimization of multiple scenes such as industrial parks and high-density residential areas.

The invention relates to the technical field of environment monitoring, in particular to an environment monitoring method and an environment monitoring system.The environment monitoring method comprises the steps that fixed monitoring equipment is adopted for fixed-point collection, mobile monitoring equipment is adopted for dynamic supplementation to obtain environment data of atmosphere, water quality and soil, and first data and second data are obtained after processing; obtaining a seasonal variation coefficient of the detection environment according to the historical environment data in the same period; adjusting an early warning threshold according to the seasonal variation system; and calculating to obtain a comprehensive quality score of the detection environment and generating an early warning signal. The environment monitoring system comprises a sensing module, an edge processing module, a cloud service module and an early warning module. According to the invention, a complete environment monitoring scheme with comprehensive data coverage and high processing efficiency is formed, reliable environment monitoring technical support can be provided for multiple scenes such as urban residential areas, chemical industrial parks, rural ecological areas and the like, and meanwhile, powerful guarantee is provided for ecological environment fine management and pollution control decision making.

The invention discloses an automobile charging facility optimization layout method fusing multi-source data, and relates to the technical field of new energy automobile infrastructure planning, a three-dimensional decision model including the type, position and capacity of a charging facility is constructed, an initial scheme is generated based on a scene adaptation evaluation function, and a three-dimensional decision model is established; the method has the advantages that multi-source data such as geographic space, traffic demands, power grid parameters and policy constraints are fused and preprocessed, six types of core scenes such as residential areas and office areas are accurately divided, multi-source data such as the power grid parameters and the policy constraints are subjected to multi-source data fusion and preprocessing, and multi-source data such as the power grid parameters and the power grid parameters and the policy constraints are subjected to multi-source data fusion and pre-processing; according to the method, the joint decision of the type, the position and the capacity of the charging facilities is realized based on the scene adaptation evaluation function, and the user flow, energy flow and cost flow triple constraint verification is applied at the same time, so that the defects that the layout of the charging facilities is split and collaborative optimization of multiple types of facilities is not realized in the prior art are overcome, and the mismatching of the charging resources in the same area is avoided.

The invention provides a remote sensing building detection method based on YOLOv8, and the method comprises the steps: S1, collecting a large amount of residential area remote sensing building image data, and constructing a target remote sensing building data set based on the collected image; s2, training the building detection model to obtain a remote sensing building detection model; and S3, applying the trained remote sensing building detection model to remote sensing images of other areas to realize efficient identification and accurate positioning of buildings in the areas. The invention provides a dynamic multi-branch feature extraction module, multi-granularity feature extraction is carried out through a cross-stage channel segmentation-aggregation strategy, a dynamic convolution-routing mechanism is integrated, complex background interference such as vegetation and a rural road network is effectively inhibited, and learning expression of discriminative detail features is enhanced. Through the method, the detail features of the building in the remote sensing image can be extracted more accurately, and powerful technical support is provided for related application fields such as urban planning and building monitoring.

The invention relates to the technical field of wind power plant optimization, and discloses a wind power plant noise control and power optimization method and device, and the method comprises the steps: obtaining the multi-source noise data of a wind power plant, constructing a multi-source noise feature database, and constructing a noise propagation theoretical model; determining a plurality of monitoring points in the wind power plant based on the noise propagation theoretical model, and collecting actual multi-source noise data and fan operation data of the plurality of monitoring points in real time; on the basis of actual multi-source noise data and fan operation data, a multi-objective optimization function fusing constraint conditions is constructed by taking minimization of dispatching instruction difference, fan operation load and noise superscale as objectives; and solving the multi-objective optimization function to generate an optimal power distribution scheme of the fan under the noise constraint. According to the invention, intelligent monitoring and intelligent control can be carried out on the noise of the wind power plant near the residential area, so that the noise influence of the wind power plant on the nearby residential area is reduced, and the contradiction between the residential area and the wind power plant is solved.

The invention belongs to the technical field of residential area ecological evaluation, and particularly relates to a GIS-based hydropower engineering residential area ecological suitability evaluation method. The method comprises the following steps: aiming at the terrain, climate characteristics and social attributes of the residential area of the hydropower project, extracting evaluation factors of ecological suitability of the residential area from multiple aspects of the terrain, the environment, the society, the traffic and the space; adopting an analytic hierarchy process and a Delphi method to analyze the obtained evaluation factors, and constructing a residential area ecological suitability index system; and superposing the spatial data of each evaluation factor by using ArcGIS to obtain a residential area ecological suitability evaluation model, and analyzing the overall ecological suitability of the residential area. According to the method, by obtaining the residential area ecological suitability evaluation model, the relation between hydropower engineering construction and rural residential area development and ecological environment protection can be better evaluated, sustainable development of the regional ecological environment is achieved, and the peaceful industry of reservoir area immigrants is guaranteed.

The invention discloses an urban residential quarter housing occupancy rate prediction method and device and a medium, and relates to the field of housing occupancy rate prediction.The method comprises the steps that an urban residential quarter housing occupancy rate estimation model is built based on urban residential quarter basic information and mobile phone signaling data, and correction is conducted through the actually-collected housing occupancy rate; according to the spatial range boundary, the terrain, the PM2.5 concentration, the POI, the urban road network, the NPP-VIIRS and the urban community house price of the to-be-predicted urban residential community in the set time period, determining characteristic index data, and aligning the spatio-temporal data to obtain processed characteristic index data; and through a mixed multi-head attention mechanism coupled with an efficient routing strategy and a long short-term memory network, constructing an urban residential quarter housing occupancy rate prediction model, inputting the processed characteristic index data, and determining a predicted value of the housing occupancy rate of the urban residential quarter to be predicted. According to the invention, accurate prediction of the housing occupancy rate of the urban residential quarter is realized.

The invention provides an AC charging pile power distribution method and system in the technical field of charging piles. The method comprises the following steps: S1, creating a load prediction model; s2, acquiring a large amount of historical power consumption data to construct a data set, and training the load prediction model through the data set; s3, acquiring real-time power consumption data, preprocessing the real-time power consumption data, and inputting the preprocessed real-time power consumption data into the deployed load prediction model to obtain a power consumption load prediction report; s4, acquiring historical charging data of user accounts charged by all AC charging piles in the community, extracting charging behaviors of the user accounts based on the historical charging data, and setting charging priorities of the user accounts based on the charging behaviors; and S5, acquiring a charging rule of the electricity price, and dynamically distributing the power of the AC charging pile based on the electrical load prediction report, the charging priority and the charging rule. The method has the advantages that the reasonability of power distribution of the AC charging pile is greatly improved, and then the user experience of charging is greatly improved.

The invention discloses an AI visual identification-based automatic identification method and system for a non-deployable area of a wind power plant. The method comprises the following steps: firstly, acquiring a multi-temporal remote sensing image covering a wind power plant area, and carrying out preprocessing such as coordinate unification and registration; identifying fan-undeployable ground features such as residential areas, plants, photovoltaic fields, roads, water bodies, power transmission lines, built wind turbine generators and the like in the images; counting the frequency of each position identified as a non-deployable ground feature in multiple time phases on the uniform space grid, calculating a time phase consistency index TCI, removing temporary targets appearing in a short term according to a preset threshold value, and identifying non-deployable areas stably existing in a long term; compared with the prior art, the multi-temporal remote sensing information is utilized to improve the time stability and reliability of the recognition result of the non-deployable area, the false non-deployable area and the omission risk are reduced, and the efficiency and precision of wind power plant site selection planning can be remarkably improved.

The invention discloses a green construction method and system for in-situ demolition and reconstruction of a multi-layer old community, and relates to the technical field of constructional engineering.The method comprises the steps that S1, a detachable latticed column traveling system is built and used for achieving the bearing and transporting functions in the construction process; s2, a totally-closed inflatable film operation area is constructed and used for achieving totally closing of a demolition and reconstruction construction operation space, and unorganized discharge of pollution is prevented; s3, in-situ treatment of dismantling and construction waste is carried out; the method comprises the following steps: dismantling an original old building, and crushing and screening construction waste materials to obtain a regenerated building material; s4, in-situ reconstruction and system turnover are carried out, and the regenerated building materials are used for reconstruction; and S5, building an intelligent control management platform, and carrying out dynamic optimization management on construction parameters in the construction process. The invention provides a systematic green solution of the whole process of'dismantling-treatment-reconstruction ', and the problems of environment, efficiency and resources in traditional construction are solved through equipment integration and process innovation.

The invention relates to an intelligent decision-making method and device for old cell environment transformation, equipment and a medium. The method comprises the following steps: acquiring basic data of an old community through multi-source data acquisition and integration, and constructing a three-dimensional visual community environment information model in combination with historical data and current situation investigation and survey data; secondly, according to a Maslow demand hierarchy theory, carrying out multi-level division on the reconstruction demands of the residents in the old community to form a demand classification result set; then, combining the cell environment information model with the demand classification result set, iteratively adjusting spatial layout parameters by applying a simulated annealing algorithm, and generating a preliminary environment transformation planning scheme; and finally, by constructing a comprehensive evaluation system including indexes such as resource consumption, ecological influence and economic cost, performing quantitative evaluation on the scheme, and determining an optimal reconstruction scheme. By adopting the method, the scientization and systematization of the old cell environment reconstruction decision are realized, and the decision efficiency and the implementation effect of the old cell environment reconstruction are effectively improved.

The utility model discloses an intensive pulse light disinfection and sterilization device for secondary tap water supply and a community direct drinking water system, and belongs to the technical field of water treatment equipment. Comprising a water inlet connector, a water storage tank body, a water outlet connector and a pulsed highlight germicidal lamp set, the water inlet connector and the water outlet connector are arranged on the water storage tank body in a spaced mode and both communicated with an inner cavity of the water storage tank body, and the pulsed highlight germicidal lamp set is arranged between the water inlet connector and the water outlet connector. The irradiation part of the pulsed intense light sterilization lamp group is mounted in the inner cavity of the water storage tank body in a water sealing and insulating manner; and the wavelength of a sterilization and disinfection spectrum emitted by the pulsed intense light sterilization lamp group is 200-1100nm. The pulsed strong-light sterilizing lamp set is adopted to irradiate the flowing water body, so that the water body can be efficiently sterilized and disinfected, harmful microorganisms are killed, the water body in the secondary water supply and the direct drinking water system in the residential area is ensured to be non-toxic and sterile, and the disinfection and sterilization problems of the water body in the secondary water supply and the direct drinking water system in the residential area can be ideally solved.

The invention discloses a collaborative peak clipping dynamic scheduling optimization method based on a V1G and V2G hybrid electric vehicle. User charging demand parameters of an electric vehicle connected to a charging pile for charging are acquired in real time through a cloud platform, a target function of mixed integer linear programming and constraint conditions thereof are established according to the user charging demand parameters in combination with peak and valley electricity prices, and the load of the electric vehicle is predicted according to real-time electricity prices and load prediction. And solving the target function and the constraint condition thereof in the cloud platform to generate a peak clipping dynamic charging and discharging plan of the V1G and V2G vehicles, and issuing the charging and discharging plan to a charging controller of the charging pile through the cloud platform to realize cooperative charging adjustment of the V1G and V2G electric vehicles. The peak load of the transformer is effectively reduced, the service life of equipment is prolonged, and the power supply reliability is improved. The method is suitable for electric vehicle high-density scenes such as residential areas and commercial districts, and double optimization is provided for power grid peak clipping and user economy.

The utility model provides a kind of staggered storey formula simple house structure, it is related to building design technical field, the staggered storey formula simple house structure includes box, residential area, washes and dresses area, kitchen area, residential area, washes and dresses area and kitchen area are all provided with door opening and window hole, the inside of residential area is provided with bottom box, the inside of bottom box is provided with baffle, baffle is used to divide the inside of bottom box into two storage areas, the opening of two storage areas is all provided with cabinet door, the inside of residential area and located bottom box one side is provided with step area, step area includes at least two steps, each step of step area is provided with pull-out drawer, the upper surface of step area is provided with cabinet, and the width of cabinet is same with the width of step area, this kind of staggered storey formula simple house structure, can increase the storage space of simple house, increase the convenience of user when living, while can keep the distance between residential area and washes and dresses area on bottom box far, it is convenient to provide better air environment for residential area, and use effect is good.

The application discloses a volume correction instrument supporting disassembly-free calibration accumulated error, and relates to the technical field of volume correction instruments, aiming to solve the technical problem that the existing calibration scheme needs to destroy the sealing and explosion-proof structure of equipment, and comprises a data processing module and an operation module. The application directly leads to the structure of the pressure digital bus through the calibration aviation interface temperature, discards the calibration mode of the prior art of disassembling the shell and manually wiring inside, and only needs to be connected with the calibration aviation interface on the correction instrument shell through a special cable, so that the transmission of the analog temperature and pressure bus protocol signal can be realized, and the original explosion-proof sealing structure of the correction instrument does not need to be destroyed throughout the process. The application effectively prevents the risk of gas leakage caused by the failure of sealing, and prevents safety accidents such as explosion and poisoning from occurring, and is especially suitable for personnel-intensive gas metering sites such as residential areas and commercial complexes. The application solves the problem that the existing calibration scheme needs to destroy the sealing and explosion-proof structure of equipment.

The utility model relates to the technical field of raised dust treatment, in particular to a raised dust treatment device for constructional engineering, which comprises a raised dust treatment component, the raised dust treatment component consists of a plurality of partition board water sprinkling components, and the raised dust treatment component is used for separating a construction area from a residential area; the partition plate water spraying assembly comprises a fence partition plate, a water spraying assembly and a water spraying assembly, the water tank is arranged based on the fence partition plate and used for storing water; the water guide pipe is used for connecting all the water tanks, and the water tanks are connected in series through the water guide pipe; the water outlet tank and the flow guide assembly are arranged on the side, away from the construction area, of the fence partition plate; water in the water tank is guided into the water outlet tank through the flow guide assembly; the water outlet tank is provided with a first water spraying pipe for dust falling and a second water spraying pipe for preventing dust from overflowing, the first water spraying pipe and the second water spraying pipe are independently used, and the problems that a traditional fence is poor in dust isolation effect, and dust still overflows are solved.

The utility model provides a kind of noise reduction fire prevention fence of photovoltaic energy storage equipment, including multiple improved type enclosing mechanism;Improved type enclosing mechanism includes multiple side-by-side distribution support frame, and sound-absorbing board piece is assembled between adjacent support frame;Support frame includes first I type vertical steel frame and I type angle steel frame arranged at the top of first I type vertical, and the included angle of first I type vertical steel frame and I type angle steel frame is 120-135 °;Sound-absorbing board piece includes square frame body and sound-absorbing material filled in the inside of square frame body, and square frame body includes the inner side panel close to photovoltaic energy storage equipment, and multiple honeycomb holes are opened in the inner side panel through penetration.It is designed that the included angle of first I type vertical steel frame and I type angle steel frame of improved type enclosing mechanism is 120 °-135 °, and cooperate sound-absorbing board piece;Make sound wave multiple scattering after impact, reduce the noise peak of single direction strong reflection in sensitive area (such as residential area).

The application discloses a multi-level guarantee site selection method based on a network structure. The application introduces a multi-level site selection method based on a task mission. In view of the actual demand of government operation and management under the epidemic background, different site selection targets are determined according to different guarantee level task missions, thereby completing the construction of a three-level site selection model for epidemic life material guarantee, and improving the authenticity and feasibility of the guarantee site selection model. Moreover, according to the node site selection condition of the lower level, the application selects the node of the upper guarantee level, and forms a stable and convenient network guarantee system. In addition, the application divides the node site selection model of the first guarantee level with a large number of nodes into two stages through a two-stage algorithm, introduces secondary site selection based on heuristic rules for the residential area with high demand, reduces the complexity of the solution of the first stage, and effectively improves the site selection efficiency.

This utility model discloses a plug-in type solar-powered multifunctional courtyard light pole, including a light pole body and a lighting fixture. The light pole body has mounting positions arranged in a circular array around its perimeter, and solar panels are plugged into these positions via a plug-in structure to accommodate multi-faceted lighting at different times of day. The lighting fixture is mounted on top of the light pole body via a connecting flange, providing nighttime illumination. This utility model concentrates solar panels onto the light pole in a plug-in manner, adapting to multi-faceted lighting at different times of day, enhancing photoelectric conversion efficiency, and is suitable for urban secondary roads, park trails, residential areas, campuses, etc.

1. Product Name: Landscape Box-type Substation (Mountain and Water Painting) 2. Product Use: As the "intermediate hub" of the power system, the box-type substation can convert the high-voltage power transmitted by the power grid into low-voltage power that can be directly used by users, and distribute it to various types of electrical equipment in urban residential areas, industrial parks, commercial complexes, municipal roads, and other places through internal power distribution devices. 3. Design Points: The combination of patterns and colors. 4. The appearance design claimed contains colors. 5. The picture or photo that best indicates the design points is a perspective view. 6. The top view and bottom view are omitted for parts that are not easily visible or not visible when in use.

The invention discloses an active noise reduction system and method for a wind turbine generator, and the system comprises a noise collection device, a noise reduction device, and a controller. The noise collecting device comprises a yaw noise collecting unit installed in a cabin and close to a yaw motor, a blade noise collecting unit installed on a flow guide cover, a comprehensive noise collecting unit installed in the middle of the upper portion of a tower and close to the bottom of the tower, and a residual noise collecting unit installed between a unit and a residential area. The noise reduction device comprises a high-frequency loudspeaker which is arranged in the cabin and is close to the yaw motor, a low-frequency loudspeaker which is arranged on the fairing, and full-frequency loudspeakers which are arranged near the upper middle part and the bottom part; and the controller controls the noise reduction device to execute noise reduction operation according to the unit noise signal and the residual noise signal sent by the noise acquisition device, the unit real-time operation data, the environment monitoring data and the pre-stored geographic information. According to the invention, comprehensive coverage of a unit noise source and classified acquisition of noise signals can be realized, and noise reduction failure caused by environment or working condition change is avoided.

The invention discloses a multi-scale planar residential place matching method based on a graph auto-encoder. The method comprises the following steps: firstly, building a residential place matching probability prediction model GAE-MLP fusing a graph auto-encoder (GAE) and a multi-layer perceptron (MLP); then, dividing a matching process into primary matching and secondary matching based on a separation thought, and respectively applying a GAE-MLP model to realize matching of 1: 1, 1: N and M: 1 and M: N types in the two matching; according to the planar residential place matching method provided by the invention, the limitation that a traditional geometric method depends on manual setting of a matching threshold value and a matching factor weight is overcome, meanwhile, the problem that a traditional machine learning method is poor in feature extraction capability is also improved, and compared with the traditional geometric method and the traditional machine learning method, the feature extraction efficiency is improved. The problems of position offset and shape homogenization can be more effectively solved, and matching of complex relations such as 1: N and M: N is more accurate.

The invention relates to the technical field of loudspeakers, in particular to a full-band loudspeaker system with large front and back sound pressure level difference, which comprises a box body, a first mounting plate arranged in the box body, a second mounting plate arranged at an interval with the first mounting plate, a first loudspeaker unit arranged on the first mounting plate and a second loudspeaker unit arranged on the second mounting plate, the plurality of first loudspeaker units are arranged in a rectangular array, the plurality of second loudspeaker units are arranged in a rectangular array, and the plurality of second loudspeaker units are electrically connected with an external processor and an external multi-channel power amplifier. The sound pressure level output facing the residential area is effectively adjusted to be small, the sound pressure level facing the sound listening area is effectively adjusted to be large, the influence of noise disturbing residents is reduced, meanwhile, efficient information transmission is ensured, and use is easy and convenient.