In the era of intelligence, the battlefield situation is changing rapidly, and the battlefield data is rising exponentially. It will be difficult to effectively respond simply by relying on human brain cognition. It is necessary to use big data, cloud computing and other technologies to build a battlefield situation awareness network with wide area distribution and automatic data interactive processing to improve the battlefield situation awareness.

Expand the "breadth" of dimension. Using big data, Internet of Things technology and multimodal network, integrate multiple battlefield dimensions, build a full dimensional distributed, wide area ubiquitous, module integrated, sensitive and versatile situation awareness network, and achieve real-time and accurate acquisition of battlefield data in full time domain, full domain, and full frequency domain through full dimensional battlefield space and multiple channels. On the one hand, our own data is gathered independently. On the basis of the unified space-time standard, collect the navigation and positioning, working status, combat technology performance, damage status and other data information of different combat platforms in real time, upload them to the cloud independently, and apply to view your own relevant data as required. On the other hand, enemy data is searched in multiple domains. Rely on the wide area distributed sensor network, strengthen the application of new means, and based on the combat task, independently detect, monitor and coordinate relay tracking different combat targets in full frequency and full time, so as to comprehensively and accurately grasp the enemy information.

Improve the processing "precision". In modern war, data grows exponentially, adding "data fog" to correct perception of battlefield situation. It is necessary to identify, process, classify and sort the massive multi-source battlefield original data acquired in real time through efficient, fast and independent intelligent algorithms, so as to effectively improve the speed and efficiency of data processing. First, deal with the source in advance. The edge computing technology is used to standardize and format the multi-source heterogeneous raw data in the front end of data collection. Second, we should recognize and understand independently. Use big data, cloud computing, etc. to carry out intelligent identification, mine and analyze the hidden content and key information behind the data, and automatically feed back to the corresponding functional modules for use. Third, cloud atlas management. On the basis of uploading data to the cloud for sharing, the knowledge map is used to classify and sort the uploaded data to form a self built and updated "data warehouse", which is conducive to dynamic management and rapid retrieval.

Excavate the "depth" of value. Rely on intelligent analysis network, adopt human-computer integration and distributed cooperation to deeply mine data value, evaluate the trend of battlefield situation, and quickly and accurately generate dynamic, holographic and visual products. The first is human-computer cooperation and data fusion. The dynamic real-time data processed by pre screening shall be identified, compared and verified interactively, and quantitative data shall be quantified based on the analysis model standard. Second, intelligently predict the trend of the battlefield. The embedded intelligent algorithm model is used to analyze and predict the combat capability, damage effect, threat degree, etc. of the enemy and ourselves in the past and current battlefield situation, provide a variety of possible trends of the future battlefield situation, and then generate a visual dynamic panorama of the battlefield situation that is conducive to the cognitive understanding of commanders through text, pictures, animation, etc, Provide basis for correct command and decision-making.

Speed up the circulation. Cross domain link and coupling between people and machines, machines and machines are realized by means of Internet of Things and other technologies to realize wide area ubiquitous distribution, real-time interconnection of things, autonomous organization recovery, on-demand access and other functions, and ensure safe, fast, anti-interference flow, transmission and real-time sharing of data within the combat system. The data transmission between the cloud and the edge will link the intelligent edge networks such as reconnaissance, analysis and action distributed in the full dimension battlefield space to the cloud, and realize the seamless connection between the sensing edge "demand side" and the cloud "supply side". According to the timeliness of combat operations, three edge data interaction modes can be built, namely, one-to-one direct supply, one-to-many data distribution, and many to one data integration, to achieve agile data interaction between edge data, effectively compress data flow time, and form decision-making advantages relying on speed advantages.

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