CN112578690B - A system and method for intelligent management and control of building energy consumption - Google Patents

Abstract

The invention discloses an intelligent management and control system and method for building energy consumption, which collects temperature, sound, image and humidity information of each area, collects switch state information of an electric meter circuit, collects pressure and flow data of a water supply circuit, and detects the state of a water supply pipeline; According to the received environmental impact parameter information and residential information, determine whether there is a fire, pipeline leakage or regional power failure, and determine the type and location of the event according to the collected information data; Determine the type of emergency plan, and determine the size of the area that needs to be dredged according to the emergency plan; according to the received environmental impact parameter information and residential information, conduct user behavior model mining, grasp and predict user behavior, and allocate resources according to the prediction results. Supply or interrupt resources for the corresponding space to control energy consumption.

Description

A system and method for intelligent management and control of building energy consumption

technical field

The invention relates to an intelligent management and control system and method for building energy consumption.

Background technique

With the continuous development of various types of buildings, the scale of buildings is getting bigger and bigger, the levels are getting higher and higher, and the standards of buildings are getting higher and higher.

For large buildings, there are many factors that affect building energy consumption, such as building type, purpose of each room, room floor height, wall thickness, room temperature, room humidity, occupant density, lighting time, temperature of common spaces and Humidity, use cycle of each resource, building electrical energy consumption or/and building heat, etc. How to organically integrate or sort the above-mentioned large number of influencing factors, and how to carry out a comprehensive balance to obtain a more optimal, economical and efficient energy consumption management and control is an important issue facing now.

SUMMARY OF THE INVENTION

In order to solve the above problems, the present invention proposes an intelligent management and control system and method for building energy consumption. The communication network and terminal sensors of the present invention perform state monitoring and intelligent control of public equipment and room equipment in the building, construct a big data system, and collect user behaviors. , environmental status and other data, analyze the data and assist in resource allocation and management.

In order to achieve the above object, the present invention adopts the following technical solutions:

The first object of the present invention is to provide an intelligent management and control system for building energy consumption, including:

The environmental impact parameter collection unit, including corresponding sensors arranged in each area, receives the collected temperature, sound, image and humidity information;

The residential information collection unit includes an electricity consumption information collection module that collects the switch status information of the electric meter circuit, a water supply information collection module installed at each node to collect the pressure and flow data of the water supply circuit, a water supply information collection module that detects the state of the water supply pipeline, and a central heating system and a central heating system. HVAC information collection module for the working status of the air conditioning system;

The event pre-judgment unit is configured to judge whether there is an event of fire, pipeline leakage or regional power failure according to the received environmental impact parameter information and residential information, and determine the type and location of the event according to the collected information data;

The event processing unit is configured to receive the type and location of the event, determine the emergency plan according to the type of the event, determine the size of the area that needs to be dredged according to the emergency plan, and transmit the plan information and the area information to the information interaction unit;

The resource scheduling unit is configured to mine the user's behavior model according to the received environmental impact parameter information and residence information, grasp and predict the user's behavior, and allocate resources for the corresponding space according to the prediction result;

The information exchange unit is configured to notify the personnel in the corresponding area of the corresponding event information and the grooming measures in the plan, process the event collaboratively, receive resource allocation instructions, supply or interrupt resources for the corresponding space, and realize energy consumption management and control.

Further, the environmental impact parameter acquisition unit includes a plurality of temperature sensors, humidity sensors, image acquisition modules, infrared sensors, ultraviolet sensors, and sound acquisition modules disposed on each floor of the building.

Further, the water supply information collection module includes a water supply overflow sensor arranged in each water supply main pipeline, and a sensor arranged in each water supply branch to collect the flow and pressure of the corresponding water supply branch.

Further, the electricity consumption information collection module includes a collector that collects the circuit information of the electricity meter to obtain the current switch state of the electricity circuit.

Further, the environmental impact parameter acquisition unit includes a plurality of image acquisition modules, the image acquisition modules form a monitoring network, and can record pedestrian movement trajectories in an all-round way. face detection.

Further, the sensors or collectors set in each area have a unique ID and IP address, and collect the information of the environmental impact parameter collection unit in the corresponding area.

Further, the event pre-judgment unit receives the information of the infrared sensor, ultraviolet sensor, temperature sensor and image acquisition module in the corresponding area of the environmental impact parameter acquisition unit, and judges whether there is a fire according to the ultraviolet, infrared and temperature information in turn. If each value exceeds the set threshold, then the information of the image acquisition module is combined to confirm whether a fire emergency has occurred.

Further, the event prediction unit receives the collected sound information, extracts sound features from the sound information, and matches the sound features of the smoke alarm and gas leak alarm recorded in advance. If the matching is successful, it means that a fire or Gas leak emergencies.

Further, the event prediction unit receives the information of the water supply overflow sensor of each water supply main pipeline and the current/voltage sensor arranged in each electric meter loop, and judges whether the water supply pipeline ruptures or the power outage exceeding the predetermined area occurs in each corresponding area. event.

Further, the event processing unit determines processing measures according to the judgment structure and type of the emergency, specifically including:

According to the location and size of the fire, evacuate the personnel in the corresponding area, activate the fire sprinkler system, activate the fire emergency plan, and notify the remote control center;

According to the water leakage or trip event, stop the loss operation of regional water cut or power outage in time, notify the maintenance personnel of the incident details and maintenance suggestions for emergency repair, and feedback and record the maintenance situation.

The second object of the present invention is to provide a method for intelligent management and control of building energy consumption, including:

Collect temperature, sound, image and humidity information of each area;

Collect the switch status information of the meter circuit, collect the pressure and flow data of the water supply circuit, and detect the status of the water supply pipeline;

According to the received environmental impact parameter information and residential information, determine whether there is a fire, pipeline leakage or regional power failure, and determine the type and location of the event according to the collected information data;

Receive the type and location of the event, determine the emergency plan according to the type of event, and determine the size of the area that needs to be evacuated according to the emergency plan;

According to the received environmental impact parameter information and residential information, conduct user behavior model mining, grasp and predict user behavior, and allocate resources in the corresponding space according to the prediction results;

Notify the personnel in the corresponding area of the corresponding event information and the grooming measures in the plan, process the event collaboratively, receive resource allocation instructions, supply or interrupt resources for the corresponding space, and achieve energy consumption control.

As an optional embodiment, according to the received environmental impact parameter information and residential information, it is determined whether there is an event of fire, pipeline leakage or regional power failure, and the specific process of determining the type and location of the event according to the collected information data includes: The maximum and minimum data thresholds of all acquisition element parameters are pre-configured. When the received data exceeds the set threshold range, the corresponding equipment will be alarmed, and the location of the sensor can be found through the pre-stored sensor ID information to determine the location of the event.

Compared with the prior art, the beneficial effects of the present invention are:

1. The present invention can correctly predict the degree of emergencies and formulate matching emergency treatment measures to effectively ensure the safety of buildings;

2. The present invention can fuse various sensing information, and effectively and orderly screen the environmental parameters affected by various types of events, which ensures the simplicity and directness of the processing process, and can take into account the correctness and timeliness of information collection;

3. The present invention can monitor and intelligently control the public equipment and room equipment in the building based on the communication network and terminal sensors, build a big data system, collect data such as user behavior and environmental status, analyze the data and assist in resource allocation and management, Realize economical and efficient energy consumption control.

Description of drawings

The accompanying drawings that form a part of the present application are used to provide further understanding of the present application, and the schematic embodiments and descriptions of the present application are used to explain the present application and do not constitute improper limitations on the present application.

Figure 1 is the architecture diagram of the human-computer interaction system;

Figure 2 is the architecture diagram of the access control system and the personnel information collection unit;

Figure 3 is a flow chart of big data processing;

Detailed ways:

The present invention will be further described below with reference to the accompanying drawings and embodiments.

It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and/or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and/or combinations thereof.

In the present invention, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", etc. The orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, and is only a relational word determined for the convenience of describing the structural relationship of each component or element of the present invention, and does not specifically refer to any component or element in the present invention, and should not be construed as a reference to the present invention. Invention limitations.

In the present invention, terms such as "fixed connection", "connected", "connected", etc. should be understood in a broad sense, indicating that it can be a fixed connection, an integral connection or a detachable connection; it can be directly connected, or through the middle media are indirectly connected. For the relevant scientific research or technical personnel in the field, the specific meanings of the above terms in the present invention can be determined according to the specific situation, and should not be construed as a limitation of the present invention.

The teaching dormitory building is taken as the building to be managed as a specific embodiment for detailed description.

First, an intelligent management and control system for building energy consumption is provided, and the processing system has the following functions:

(1) Human-computer interaction: Reduce the cost and threshold of interpersonal communication, assign corresponding management responsibilities to logistics staff with different responsibilities, realize barrier-free communication and human-computer interaction for users at multiple levels, and significantly improve the efficiency of logistics work;

As shown in Figure 1, the human-computer interaction at least includes a voice communication module, specifically a microphone array for voice acquisition, and uses the spatial filtering characteristics of the microphone array to form a pickup beam in the direction of the target speaker to suppress noise and reflected sound outside the beam. .

It also includes a voice processing unit, which is configured to perform voice front-end processing such as noise reduction, echo cancellation, and voice wake-up on the collected sound, and output the noise-reduced audio signal, sound source angle data, and wake-up trigger signal.

The scope of interaction that can be used for voice interaction can include: offline wake-up, room area status query, receiving control instructions, feedback control results, requesting identity verification, prompting dangerous personnel, prompting personnel evacuation, equipment status query, equipment maintenance plan suggestions, room resources Inquiries, energy usage reminders or/and attendance requests for logistics personnel.

(2) Building autonomous management: State monitoring and intelligent control of public equipment and room equipment in the building through the communication network and terminal sensors.

Wherein, the end sensor at least includes a plurality of infrared sensors, ultraviolet sensors, temperature sensors, image acquisition modules and sound acquisition modules arranged on each floor of the building; it also includes a water supply overflow sensor arranged in each water supply main pipeline and a water supply overflow sensor arranged in each water supply main pipeline. Current/Voltage Sensors in Meter Loops.

The communication network can be a wireless transmission network, or a combination of the Internet of Things and a wireless transmission network.

(3) Machine vision recognition: Real-time identification of building personnel, and read information such as identity, authority, etc., intelligently identify security events such as building fires, assist logistics services and security departments; assist in automatic division of logistics management, and then realize fault detection and termination. damage, and assign maintenance work and briefings based on the process.

Among them, the identification of building personnel is specifically through the video acquisition module, image acquisition module and identification system set at the gate access control.

Specifically, it consists of a front-end image acquisition camera and a back-end image processing system. The front-end is composed of multiple image acquisition cameras to form a monitoring network, which can record pedestrian movement trajectories in an all-round way. The back-end image processing system uses machine learning to identify the detected face images, compares and confirms the identity of the pedestrian, and takes different follow-up processing according to different groups of people. The following processes are required to complete face recognition: face image acquisition and detection, face image preprocessing, face image feature extraction, and matching and recognition. The system adopts the encrypted transmission of network information and supports remote control and management.

First, the front-end image acquisition system is used to collect the facial images of the residents and staff in the building, and the features are extracted through the deep learning algorithm for identity registration. When the system is working, the front-end camera collects images in real time, and uses deep learning algorithms to identify the human body and face appearing in the image. After obtaining the facial features, it searches and compares the registered household data table and staff data table.

If the face belongs to the household list, open the access control; if the face belongs to the staff list, the staff member will be clocked in and connected to the staff performance system; for the dangerous personnel on campus and suspicious personnel outside the campus, the front end will be called. The cameras seamlessly track the pedestrian throughout the building and send a warning to building security.

(4) Incident management based on normative standards: For the emergency response situation in logistics management, design a standard incident handling specification, detect the emergency situation and start the resolution process autonomously, coordinate and organize personnel to handle it, and evaluate the handling of the incident.

In order to complete the above functions, the supporting facilities that need to be invested include: smoke alarms, automatic sprinklers, manual alarms, communication modules and extensions installed in various areas of the building (especially important areas, such as residential areas, corridor entrances, etc.). cameras; and access control systems and human-computer interaction screens installed at the gates.

Specifically, the human-computer interaction is mainly based on voice interaction, and a human-computer interaction system is constructed with images and other means. The voice interaction module adopts the intelligent voice system based on hardware recognition to realize the voice recognition of non-specific person (SI).

The voice interaction module is equipped with a VUI (Voice User Interface) editor, which makes it easier for users to modify the recognition process and add or delete control instructions at any time. The rejection algorithm based on the recognition score can greatly reduce the false trigger rate and improve the safety factor; in addition, the voice interaction module Adding the function of voice response, users can easily change the content of the voice response to better realize the function of human-computer interaction; the human-computer interaction is equipped with a graphical display interface to display the human-computer interaction content and related information in the building, etc. in order to achieve a more intuitive interaction effect.

In this embodiment, the above-mentioned human-computer interaction system is used as an information interaction unit, and the personnel in the corresponding area are notified of the corresponding emergency information and the grooming measures in the plan, so as to coordinately handle the emergency.

In this embodiment, the state monitoring and intelligent control of the public equipment and room equipment in the building are performed through the communication network and terminal sensors, and the management and control systems are mainly the power system, the water supply system, the HVAC system, and the data acquisition system.

Through the meter loop information collected by the collector, the current switching status of the power system can be known, and the automatic control parameters can be configured by the administrator for automatic control. The automatic control parameters include timing parameters, time-sharing control parameters, etc.

The power subsystems controlled in the building include the following subsystems: indoor lighting subsystem, public area lighting subsystem, multimedia equipment subsystem, domestic water heater subsystem, elevator subsystem, ventilator subsystem and fire equipment subsystem.

Through the pressure and flow data collected by the collector installed at each node, the status of the water supply pipeline is detected, and the abnormal phenomenon of running, dripping and leakage is detected in time, and a large number of running water accidents are automatically dealt with, and the valve is closed in time according to the node flow and pressure data to reduce losses. . At the same time, the water subsystem in the building is monitored in real time, and the abnormal water consumption is alarmed. The subsystems include: clean water subsystem and domestic water subsystem.

The management and control of the central heating system in the building mainly includes the pipeline detection based on the collected pressure and flow and the automatic control of the terminal heating valve. The pipeline detection is similar to the water supply system. The control of the central air-conditioning system includes the control of the central air-conditioning unit, the detection of the cooling pipeline, and the control of the end fan. The unit control is mainly by setting the automatic operation parameters of the unit. The end fan control includes equipment switching and temperature setting based on the status of indoor personnel and temperature. For installation Single air-conditioned room, remote control through infrared control equipment.

According to the operating status and network communication status of each and every type of sensor, and timely feedback the alarm information; identify and transmit the operating status of the metering device, support the fault location and diagnosis of the metering device connected to the sensor, and transmit the fault information to the remote control in time It supports the remote upgrade and restart of the data collector, and can restart the device by itself according to the cause of the failure, and upload the restart information to the remote control terminal to solve the problem of data stuck; After the transmission network returns to normal, use the data stored in the collector to resume the transmission from a breakpoint.

As an emergency management system, the core processing system of the present invention combines a building management station, a machine vision and a human-computer interaction system to specify a standard mechanism for responding to events, and based on logistics management rules and regulations and management professional design, it assists managers in discovering emergencies ( Pipeline leakage, regional power failure, etc.), start the corresponding plan independently, organize multi-departmental logistics service personnel to link up based on the human-computer interaction system, coordinate processing events, and feedback processing results.

In response to the fire situation, start the automatic sprinkler equipment in time, notify the building management personnel and the higher-level security department, and assist in organizing the evacuation of personnel and the guidance of firefighters in accordance with the campus emergency plan;

The handling of fire emergencies includes the following steps:

Emergency detection: Combine the information of the infrared sensor, ultraviolet sensor, temperature sensor and image acquisition module, and judge whether there is a fire according to the ultraviolet, infrared and temperature information in turn. If the three values all exceed the set threshold, then combine the information of the image acquisition module. , to confirm whether a fire emergency has occurred.

At the same time, the integrated smoke alarm and manual alarm device can detect the location of the fire in time and estimate the size of the fire.

Send a voice prompt to the duty room to inform the fire occurrence and location, and start the automatic sprinkler.

Start the fire emergency plan and send fire alerts to the higher authorities.

Manually or automatically activate the voice prompt to evacuate the building, and prompt the teachers and students on the relevant floor with the corresponding evacuation routes and precautions through the voice prompt devices set in each area of the building.

In response to events such as water leakage and tripping in logistics services, stop loss operations such as regional water and power outages in a timely manner, notify maintenance personnel of incident details and maintenance suggestions for emergency repairs, and feedback and record the maintenance situation. For equipment damage and other events, notify maintenance personnel in a timely manner, assist in providing maintenance plans or manufacturer personnel, and feedback and record the maintenance situation.

Specifically, according to the building equipment management and control system, the fault alarm information is found, the alarm information is initially diagnosed and analyzed, and the water is cut off in time for the water leakage area. Send the event information and location to the building management on-duty staff, and the on-duty staff will notify the maintenance staff to handle it.

In view of the upgrading of building facilities during the use of the building, assist in the management of construction personnel, verify identities and permissions, provide construction assistance such as power outages and water cuts, and record and report construction progress.

The on-duty personnel register the construction time, location, personnel and other information, verify the identity of the construction personnel through the video acquisition module, image acquisition module and identification system of the access control, and give the corresponding access control authority;

Using the sound sensor and image sensor installed in the building, the construction progress is collected and reported to the building management personnel regularly to form effective supervision.

Aiming at regular and irregular inspections by logistics managers, assist in arranging inspection schedules, notify relevant departments and personnel of the organization in a timely manner, automatically inspect building areas, equipment conditions and other parts through video means, evaluate inspection results and give feedback.

Combined with video or image collection information, security, cleaning, and maintenance personnel arrange inspection time and send reminder instructions.

During the processing of the above events, the collection of big data refers to the use of multiple databases to receive data from clients (Web, App, or sensors, etc.), and simple queries and processing can be performed through these databases. Identify the data type, data size, read/write magnitude, read/write ratio, concurrency, consistency, latency, analysis complexity, and even the need to introduce more complex data mining algorithms in relational emergency management and control systems , build data acquisition hardware, data transmission hardware and data acquisition and detection software that meet the needs of energy consumption management and control system to realize big data acquisition.

Because the big data of collected environmental information and personnel information may consist of terabytes (or even petabytes) of information, including structured data (databases, logs, SQL, etc.) and unstructured data (sensors, multimedia data). This data lacks an index or other organizational structure, and may be composed of many different file types, which makes the cost of storing data increasing, the data storage capacity grows explosively and is difficult to predict, and the increasingly complex environment makes the stored data unmanageable. It poses a challenge to the storage function of the database.

As shown in Figure 3, the system performs partition operations on these data in the processing process. By establishing extensive indexing and caching mechanisms, increasing virtual memory and batch processing, using temporary tables and intermediate tables to optimize query statements, and using text format Perform processing, customize cleaning rules and error handling mechanisms, and use data warehouses and multidimensional databases to complete data storage.

In this embodiment, all sensor information data in the building is stored in the hadoop database, and the uploaded data is recorded in advance, and HDFS is used for distributed management, and the maximum and minimum data thresholds are set for all sensor parameters. When the received data exceeds the set threshold range, the device alarm is issued through the real-time data platform, and the location of the sensor is found through the sensor information entered in advance, and then the problem location information is determined. In the process that the database is constantly being called and new data is constantly being stored, whether there will be a problem with the sensor can be predicted through the trend of the data uploaded in real time by the sensor.

In the process of data processing, design the corresponding data processing system architecture software and system integration software from its data acquisition, data conversion, data grouping, data organization, data calculation, data storage, data retrieval and data sorting rules, and in these data In the preparation stage, the entry of these data is completed. After the data is entered, the data is processed according to the instructions and requirements of the program, and finally the effective information that meets the needs is output to complete the data processing based on big data technology.

Based on data mining algorithms, segment, cluster, and isolated points analyze and refine data to mine value. Further predictive analysis, data mining can digest and understand the information carried by the data faster and better, thereby improving the accuracy of judgment, and finally forming a decision-making assistance system, including:

User behavior model mining. Dig out the deep knowledge of user behavior and energy usage habits hidden in massive data, build a user behavior model, grasp and accurately predict user behavior in real time, and show it to managers in the form of charts.

Building space resource allocation decision. Mining the use models of public spaces such as campus classrooms, laboratories, and libraries, and assisting in the allocation of space resources based on user behavior models, displaying them in the form of charts/3D, and outputting reference allocation plans.

Energy to assist decision-making. Excavate the energy consumption usage in the campus, predict the energy consumption usage, assist in the decision of energy supply, display it in the form of chart/3D, and output the reference distribution plan.

Logistics service demand forecast. Excavate the needs of logistics services such as cleaning and security on campus, and combine user behavior and distribution to assist in the prediction and distribution of logistics service needs, display them in the form of charts/3D, and output a reference distribution plan.

Prediction of emergencies. Excavate the operation and maintenance of equipment, predict the risk of equipment failure, notify the robot system to assign personnel in a timely manner, and provide relevant strategies for incident handling, and human-machine collaborative processing of related risks.

In this embodiment, the maximum and minimum data thresholds of all acquisition element parameters can be pre-configured. When the received data exceeds the set threshold range, a corresponding device alarm is performed, and the sensor location is found through the sensor ID information.

According to the information collected by the received sensors, the usage habits of the corresponding users are determined, and the specific behaviors of the users are described, including the electricity consumption, water consumption and body temperature of the corresponding users in various periods, and the analysis and calculation are carried out to determine the most comfortable body temperature of the user, and During the peak and trough periods of electricity and water consumption, the consumption of water and electricity shall be adjusted according to the determined results.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the protection scope of this application.

Although the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, they do not limit the scope of protection of the present invention. Those skilled in the art should understand that on the basis of the technical solutions of the present invention, those skilled in the art do not need to pay creative efforts. Various modifications or deformations that can be made are still within the protection scope of the present invention.

Claims (9)

1. The utility model provides a building energy consumption intelligence management and control system which characterized by: the method comprises the following steps:

the environment influence parameter acquisition unit comprises corresponding sensors arranged in each area and is used for receiving acquired temperature, sound, image and humidity information;

the residential information acquisition unit comprises an electricity consumption information acquisition module for acquiring the on-off state information of an ammeter loop, a water supply information acquisition module for acquiring the pressure and flow data of a water supply loop and detecting the state of a water supply pipeline, which are arranged at each node, and a heating and ventilation information acquisition module for acquiring the working states of a central heating system and a central air-conditioning system;

the event pre-judging unit is configured to judge whether an event of fire, pipeline water leakage or regional power failure occurs according to the received environmental influence parameter information and the residence information, and determine the type and the occurrence place of the event according to the acquired information data; specifically, the information of an infrared sensor, an ultraviolet sensor, a temperature sensor and an image acquisition module is combined, whether a fire disaster occurs is judged according to ultraviolet, infrared and temperature information in sequence, if the three values exceed a set threshold value, the information of the image acquisition module is combined to confirm whether a fire disaster emergency occurs, meanwhile, a smoke alarm and a manual alarm device are integrated, the fire position is found in time, and the fire size is estimated;

the event processing unit is configured to receive the type and the occurrence place of the event, determine an emergency plan according to the type of the event, determine the size of an area needing to be dredged according to the emergency plan, and transmit plan information and area information to the information interaction unit; the event processing unit determines a processing measure according to the judgment structure and the type of the emergency, and specifically includes: evacuating personnel in corresponding areas according to the position and the size of the fire, starting a fire spraying system, starting a fire emergency plan and informing a remote control center;

the resource scheduling unit is configured to mine a behavior model of the user according to the received environmental impact parameter information and the residence information, grasp and predict the behavior of the user, and allocate resources of corresponding spaces according to a prediction result; a public space usage model is excavated, and space resource allocation is assisted based on a user behavior model; the energy consumption use condition in the building is excavated, the energy consumption use condition is predicted, and the decision of energy supply is assisted; the logistics service requirements are mined, and the forecasting and distribution of the logistics service requirements are assisted by combining the user behaviors and distribution; finally outputting a reference allocation scheme;

and the information interaction unit is configured to notify corresponding event information of personnel in a corresponding area and a dispersion measure in a plan, cooperatively process the event, receive a resource allocation instruction, supply or interrupt resources to a corresponding space, and realize the management and control of energy consumption.

2. The intelligent building energy consumption management and control system as claimed in claim 1, wherein: the environment influence parameter acquisition unit comprises a plurality of temperature sensors, humidity sensors, an image acquisition module, an infrared sensor, an ultraviolet sensor and a sound acquisition module which are arranged on each floor in a building.

3. The intelligent building energy consumption management and control system according to claim 1, wherein: the water supply information acquisition module comprises water supply overflow sensors arranged on each water supply main pipeline and sensors arranged on each water supply branch and used for acquiring flow and pressure of the corresponding water supply branch.

4. The intelligent building energy consumption management and control system as claimed in claim 1, wherein: the power utilization information acquisition module comprises an acquisition device for acquiring the loop information of the electric meter, and the on-off state of the current electric power loop is acquired.

5. The intelligent building energy consumption management and control system as claimed in claim 1, wherein: the environment influence parameter acquisition unit comprises a plurality of image acquisition modules, the image acquisition modules form a monitoring network, the pedestrian movement track can be recorded in an all-round mode, and the image acquisition modules are matched with one another to detect faces in different head postures.

6. The intelligent building energy consumption management and control system as claimed in claim 1, wherein: the sensor or collector arranged in each area has a unique ID and an IP address, and collects the information of the environmental impact parameter collection unit of the area corresponding to the sensor or collector.

7. The intelligent building energy consumption management and control system according to claim 1, wherein:

the event pre-judging unit receives information of water supply overflow sensors of all water supply main pipelines and current/voltage sensors arranged in all electric meter loops, and judges whether power failure emergency events that water supply pipelines are broken or the power failure emergency events exceed a preset area occur in all corresponding areas.

8. The intelligent building energy consumption management and control system as claimed in claim 1, wherein: the event processing unit determines a processing measure according to the judgment structure and the type of the emergency event, and specifically includes:

according to water leakage or trip events, loss stopping operation of regional water cut-off or power cut-off is carried out in time, event details and maintenance suggestions are notified to maintenance personnel for rush repair, and maintenance conditions are fed back and recorded.

9. An intelligent building energy consumption control method is characterized by comprising the following steps: the method comprises the following steps:

collecting temperature, sound, image and humidity information of each area;

collecting the on-off state information of an ammeter loop, collecting pressure and flow data of a water supply loop, and detecting the state of a water supply pipeline;

judging whether an event of fire, pipeline leakage or regional power failure occurs according to the received environmental influence parameter information and the residence information, and determining the type and the occurrence place of the event according to the acquired information data; specifically, the specific process of determining the type and the occurrence place of an event according to the collected information data comprises the following steps of: presetting the maximum threshold and the minimum threshold of data of all acquisition element parameters, alarming corresponding equipment when the received data exceed the range of the set threshold, finding the position of a sensor through prestored sensor ID information, and determining the position of an event;

receiving the type and the occurrence place of an event, determining an emergency plan according to the type of the event, and determining the size of an area needing dredging according to the emergency plan;

according to the received environmental impact parameter information and residence information, performing behavior model mining on the user, grasping and predicting the user behavior, and performing resource allocation of the corresponding space according to the prediction result; a public space usage model is excavated, and space resource allocation is assisted based on a user behavior model; excavating the energy consumption service condition in the building, predicting the energy consumption service condition and assisting in making an energy supply decision; the logistics service requirements are mined, and the prediction and distribution of the logistics service requirements are assisted by combining the user behaviors and distribution; finally outputting a reference allocation scheme;

informing personnel in corresponding areas of corresponding event information and evacuation measures in the plan, cooperatively processing the events, receiving resource allocation instructions, and performing resource supply or interruption on corresponding spaces to realize energy consumption management and control.

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