Case background

A police station in Yancheng City has launched an intelligent upgrade project for its case handling area, integrated command center, and cafeteria. Although the project does not explicitly label it as "intelligent energy consumption transformation," aligning with current trends in police station smart infrastructure development (such as integrating "smart policing" with "green policing"), energy management typically serves as a core subsystem in such upgrades. The initiative aims to reduce energy consumption in office spaces, case handling areas, and public zones through technological solutions, thereby enhancing overall energy efficiency.

system architecture

system function

Basic functions: login/out

Login: Log in with a fixed account and password.

Login and logout: Support users to exit the system and ensure account security.

2. Equipment management: Gateway and acquisition device configuration

(1) Add a gateway:

Fill in the basic information of the gateway (gateway name and gateway number), set the collection frequency (only passive collection mode is effective), save to complete the gateway addition (support deletion operation).

(2) Add collection equipment:

① Gateway connection: Select the added gateway;

② Fill in the equipment information: equipment name, equipment number;

③ Configuration of acquisition parameters: If the gateway is in passive mode, the polling command (the query command sent by the host to the slave) should be filled in;

④ Parsing rules: The JSON script must be filled in (used to parse the data of messages uploaded by the device, otherwise valid data cannot be obtained).

(3) Editing equipment:

Click the device number to enter the editing interface, you can adjust the following information:

Internet access control;

Equipment name, equipment type;

Address code, polling instruction (active in passive mode);

Data parsing rules (JSON scripts).

3. Data management: data collection, query and export

(1) Real-time data query:

The platform displays the real-time data (such as temperature, humidity and other measured values) reported by the device, and supports filtering and viewing by device/measurement point.

(2) Data collection, viewing and export:

① View: The table shows the historical data collected by the equipment (after parsing);

② Export: Support for exporting historical data (format is not specified, refer to the actual system function).

4. Equipment statistics

Home Equipment Statistics:

The homepage displays the number of devices and collects data statistics (such as online rate of devices, frequency of data reporting, etc.) to help users quickly grasp the operating status of the system.

III. Description of Key Functions

Customized parsing: realize customized parsing of device message data through JSON script to adapt different sensor types;

Collection mode adaptation: supports active collection (sensor actively upload at regular time) and passive collection (need to send polling command), to meet the needs of different devices;

Solving pain points

1. Improve efficiency and accuracy: The system automatically collects real-time data (such as water meter, power monitoring instrument) to eliminate manual error and delay, and improve management efficiency.

2. Real-time anomaly identification: Through algorithm analysis, abnormal energy consumption (such as equipment overload) is detected and early warning is issued to prevent fire risks.

3. Strengthen decision support: optimize the layout of fire equipment and energy structure by using historical data trends, and promote green and low-carbon transformation.

4. Comprehensive statistics and energy saving: cover all branches and time periods statistics, reduce resource consumption, automate reports to simplify the process.

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