Video monitoring storage space size and transmission bandwidth calculation method

In the video surveillance system, the demand for the size of the storage space is related to the quality of the picture and the video line. The following describes the calculation method between the video storage space size and the transmission bandwidth.

Bit rate refers to the number of bits transmitted per second. The unit is bps (Bit Per Second). The higher the bit rate, the larger the data transmitted. The bit rate indicates how many bits per second need to be used for the encoded (compressed) audio and video data, and the bit is the smallest unit in the binary, either 0 or 1. The relationship between bit rate and audio and video compression is simply that the higher the bit rate, the better the audio and video quality, but the larger the encoded file; if the bit rate is lower, the situation is just the opposite.

DataRate (DataRate) refers to the data traffic used by a video file per unit of time. It is also called the code rate and is the most important part of picture quality control in video coding. At the same resolution, the larger the code stream of the video file, the smaller the compression ratio and the higher the picture quality.

The upstream bandwidth is the bandwidth of the local upload information to the network. The uplink rate refers to the data transmission rate when the user computer sends information to the network. For example, when uploading files to the Internet using FTP, the upload rate is the “upstream rate”.

Downstream bandwidth is the bandwidth for downloading information from the network. The downlink rate refers to the data transmission rate when the user computer downloads information from the network. For example, if the file is downloaded from the FTP server to the user's computer, the downlink rate is affected.

First, transmission bandwidth calculation: bit rate size × number of cameras = network bandwidth at least size;

Note: The bandwidth of the monitoring point is the minimum bandwidth required for the uplink (the monitoring point uploads the video information to the monitoring center); the bandwidth of the monitoring center is the minimum bandwidth required for the downlink (the video information of the monitoring point is downloaded to the monitoring center); : Telecom ADSL broadband 2Mbps, in theory, its uplink bandwidth is 512kbps = 64kb / s, its downlink bandwidth is 2Mbps = 256kb / s

Example: Monitor the number of cameras distributed in 5 different places, each place: n = 10 (20) 1 monitoring center, remote monitoring and storage of video information, storage time is 30 days. The bandwidth and storage space of different video formats are calculated as follows:

2. Local monitoring points: The bit rate of each camera in the CIF video format is 512 Kbps, which means that the data transmission bandwidth required by each camera is 512 Kbps. The data transmission bandwidth required by the 10 cameras is:

512 Kbps (bit rate of video format) × 10 (number of cameras) ≈ 5120 Kbps = 5 Mbps (uplink bandwidth): That is, the network upstream bandwidth required for each local monitoring using the CIF video format is at least 5 Mbps;

1. The bit rate of each camera in the D1 video format is 1.5Mbps, that is, the data transmission bandwidth required by each camera is 1.5Mbps, and the data transmission bandwidth required by the 10 cameras is: 1.5Mbps (bit rate of the video format) × 10 (the number of cameras) = ​​15 Mbps (upstream bandwidth): namely, the network upstream bandwidth required for each local monitoring using the D1 video format is at least 15 Mbps;

2,720P (1 million pixel) video format The bit rate of each camera is 2Mbps, that is, the data transmission bandwidth required by each camera is 2Mbps, and the data transmission bandwidth required by the 10 cameras is:

2 Mbps (bit rate of video format) × 10 (number of cameras) = ​​20 Mbps (upstream bandwidth) Namely: 720P video format The network upstream bandwidth required for monitoring at each site is at least 20 Mbps; 1080P (2 million pixels) video The bit rate of each camera in the format is 4Mbps, that is, the data transmission bandwidth required by each camera is 4Mbps, and the data transmission bandwidth required by the 10 cameras is:

4 Mbps (bit rate of video format) × 10 (number of cameras) = ​​40 Mbps (upstream bandwidth) That is, the network uplink bandwidth required for monitoring of each place using 1080P video format is at least 40 Mbps.

3, the required bandwidth of CIF video format:

512 Kbps (bit rate of video format) × 50 (sum of the total number of cameras at the monitoring point) = 25600 Kbps = 25 Mbps (downlink bandwidth), that is, the network downlink bandwidth required for monitoring the center using the CIF video format is at least 25 Mbps;

4. Required bandwidth of D1 video format:

1.5Mbps (bit rate of video format) × 50 (sum of the total number of cameras at the monitoring point) = 75Mbps (downlink bandwidth), that is, the network downlink bandwidth required by the monitoring center using the D1 video format is at least 75 Mbps;

The required bandwidth of the 5,720P (1 million pixel) video format:

2 Mbps (bit rate of video format) × 50 (sum of the total number of cameras at the monitoring point) = 100 Mbps (downlink bandwidth), that is, the network downlink bandwidth required by the 720P video format monitoring center is at least 100 Mbps;

6. Required bandwidth of 1080P (2 million pixels) video format:

4Mbps (bit rate of video format) × 50 (sum of the total number of cameras at the monitoring point) = 200Mbps (downlink bandwidth), that is, the network downlink bandwidth required by the monitoring center using the 1080P video format is at least 200 Mbps;

7. Storage space calculation: stream size (unit: kb/s; ie: bit rate ÷8)×3600 (unit: seconds; number of seconds for one hour)×24 (unit: hours; long time of day)×30 (days saved) x 50 (the total number of camera videos to be stored at the monitoring point) ÷ 0.9 (loss of 10% of disk formatted) = size of required storage space (Note: 1TB = 1024GB for storage unit conversion; 1GB = 1024MB; 1MB=1024KB)

The required storage size for the 50-way storage of 30-day CIF video format video information is: 64×3600×24×30×50÷0.9=8789.1GB≈9TB

The required storage space for 50-channel D1 video format video information stored for 30 days is: 192×3600×24×30×50÷0.9=26367.2GB≈26TB

The required storage space for the 50-channel 720P (1 million pixel) video format recording information stored for 30 days is: 256×3600×24×30×50÷0.9=35156.3GB≈35TB

The required storage space for 50-channel storage of 1080P (2-megapixel) video format video information for 30 days is: 512×3600×24×30×50÷0.9=70312.5GB≈69TB

BOD COD Sensor

Overview

BOD COD Sensor is a key analytical instrument that measures the oxygen consumption required for biological decomposition (BOD) and chemical oxidation (COD) of organic matter. BOD COD sensor stands for biochemical oxygen demand sensor and chemical oxygen demand sensor, also known as BOD COD probe. They play an important role in environmental protection, industrial wastewater management and regulatory compliance, providing essential quantitative data for maintaining water quality standards and optimizing treatment processes.

BOD COD sensor

 

Biochemical Oxygen Demand (BOD)

BOD quantifies the dissolved oxygen (DO) consumed by microorganisms during the aerobic decomposition of organic matter in water at standard conditions (typically 5 days at 20°C, known as BOD5). This parameter is particularly significant for:

  • Assessing the impact of biodegradable organic waste on aquatic ecosystems
  • Evaluating wastewater treatment plant efficiency
  • Determining the pollution loading capacity of receiving waters

High BOD levels indicate excessive organic contamination that can lead to hypoxia, threatening aquatic life and indicating poor water quality. Traditional BOD measurement requires 5-day incubation, while modern sensor technologies enable real-time estimation through correlation methods.

 

Chemical Oxygen Demand (COD)

COD measures the total quantity of oxygen required to oxidize all organic compounds in water through chemical oxidation, typically using dichromate in acidic conditions. Key characteristics include:

  • Rapid analysis (2-4 hours compared to BOD's 5 days)
  • Detection of both biodegradable and non-biodegradable organics
  • Critical for industrial wastewater monitoring where non-biodegradable compounds are present

COD values generally exceed BOD values as they account for a wider range of oxidizable substances. The COD/BOD ratio provides insights into wastewater treatability and organic composition.

 

Measurement Principles and Technical Features

Modern BOD COD sensors employ multiple measurement technologies:

Measurement Principles

  • Electrochemical methods: Utilize oxygen electrodes for BOD estimation and chemical oxidation cells for COD
  • UV-Vis spectroscopy: Measures organic content through absorbance at specific wavelengths
  • Fluorescence techniques: Detects organic matter through fluorescent signatures

Key Features and Advantages

  • Continuous real-time monitoring capability
  • Reduced reagent consumption compared to lab methods
  • Automatic temperature compensation (0-50°C operational range)
  • Integrated anti-fouling mechanisms for long-term deployment
  • Digital output (RS485/Modbus) for system integration
 

Applications

BOD COD sensors serve critical functions across multiple sectors:

Municipal Wastewater Treatment

  • Influent characterization for load balancing
  • Process control in aeration tanks
  • Effluent quality monitoring for regulatory compliance

Industrial Applications

  • Food processing wastewater monitoring
  • Pharmaceutical effluent analysis
  • Pulp and paper mill discharge control
  • Petrochemical wastewater management

Environmental Monitoring

  • River and lake water quality assessment
  • Early warning systems for pollution events
  • Watershed management programs

Research and Education

  • Laboratory analysis and method validation
  • Environmental science studies
  • Wastewater treatment research
 

Why Choose Daruifuno BOD COD Sensors?

Daruifuno's BOD COD sensors combine advanced technology with practical design for reliable water quality monitoring:

  • Precision Engineering: Laboratory-grade accuracy in field conditions (±5% of reading)
  • Cost-Effective Solutions: Competitive pricing without compromising quality
  • Custom Configurations: Sensor customization for specific applications
  • OEM Support: Complete white-label solutions for equipment manufacturers
  • Robust Construction: IP68-rated housings for harsh environments
  • Technical Support: Comprehensive after-sales service and calibration support

Our sensors are compatible with most SCADA systems and water quality monitoring platforms, offering seamless integration into existing infrastructure. With modular designs and multiple output options, Daruifuno sensors provide flexible solutions for diverse monitoring requirements.

BOD COD Sensor,Biochemical Oxygen Demand Sensor,BOD COD probe

Suzhou Delfino Environmental Technology Co., Ltd. , https://www.daruifuno.com