11results about How to "Realize differentiated management" patented technology

The invention discloses a mine digital asset storage management method, which comprises the following steps of: extracting characteristics of mine data, dividing the mine data into hot data, warm data and cold data according to the characteristics, selecting different storage devices for the data, and dynamically adjusting migration of the data among the different storage devices based on access frequency and business requirements; future data storage requirements are predicted through a machine learning algorithm, and storage resources are scheduled; performing full life cycle management on the data, performing business value evaluation on the data, and adjusting storage priority and resource allocation based on the data value; carrying out full-life-cycle encryption on the data, and recording data operation through a block chain technology; energy consumption of the storage equipment is monitored in real time, and storage energy efficiency and carbon footprint management are adjusted. The problems of low storage efficiency, high storage cost and insufficient energy consumption optimization caused by data type diversity, access frequency difference and insufficient storage resource utilization in mine data management can be solved.

The invention discloses an electronic file intelligent classification method and system, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring electronic document information of a target enterprise; extracting document features corresponding to a plurality of first documents from the electronic document information, wherein the document features comprise sensitive word frequencies, department association degrees and document passing ranges; performing rule matching on each document feature, determining a rule triggering result of each first document, and calculating a rule triggering density of each first document; screening out a plurality of second documents of which the rule triggering density is greater than a threshold value; according to the document features of the second documents and the rule triggering result, constructing a risk conduction chain network, and based on the risk conduction chain network, calculating conduction risk values corresponding to the second documents; and classifying the second documents in combination with the conduction risk values and storing the second documents in a document library of the target enterprise. By implementing the technical scheme provided by the invention, the effect of improving the accuracy of intelligent classification of the electronic archives is achieved.

This application belongs to the field of infrastructure operation and maintenance, and relates to a task early warning method, device, computer equipment, and storage medium. The method includes: acquiring real-time logs corresponding to each task; for each task, extracting multi-dimensional task value assessment information from the task's real-time logs; calculating the task value assessment value based on the multi-dimensional task value assessment information; configuring an early warning strategy for the task according to the task value assessment value; and issuing anomaly warnings for the task based on the early warning strategy. Furthermore, the multi-dimensional task value assessment information can be stored in a blockchain. This application achieves refined management of early warnings.

This disclosure provides one or more embodiments of a container deployment method, apparatus, electronic device, and storage medium for a power load control terminal. The method includes: acquiring multiple microservices corresponding to at least one power service of the power load control terminal; constructing a container image file corresponding to the microservice based on the service level and security level of the microservice; in response to receiving a deployment request for any of the microservices, determining whether the microservice is allowed to be deployed on the power load control terminal based on the requirements of the microservice and the resources of the power load control terminal; and in response to determining that the microservice is allowed to be deployed on the power load control terminal, deploying a container corresponding to the microservice on the power load control terminal based on the container image file.

This invention belongs to the field of equipment inspection technology and discloses an intelligent inspection and positioning method and system based on Bluetooth and NFC. The method includes: receiving Bluetooth signals from available Bluetooth devices through an intelligent inspection and positioning terminal, and sorting valid inspection points based on the access time of each Bluetooth signal to generate a time series representing the inspector's movement route, thereby automatically tracking the inspector's movement route; when at least two assigned inspection areas are identified, comparing the number of shared inspection points between different assigned inspection areas with an intersection threshold value to determine key inspection areas or ordinary inspection areas, and then generating an inspection route. This invention reconstructs the inspector's movement route based on the time series of Bluetooth signal access, improving the authenticity and objectivity of the inspector's movement route, and by transforming inspection planning into a dynamic response, improving the overall efficiency and targeting of inspection work.

The present invention discloses a method for optimizing heating cost of a gas-fired air-source heat pump based on climate compensation, and relates to the technical field of heating cost optimization. The method comprises the following steps: S1, collecting the outdoor temperature of a heating area and the indoor temperature of a building in the heating area; S2, analyzing the heat load of a building to maintain a specified indoor temperature under different outdoor temperature conditions; S3, obtaining the unit parameters of a gas-fired air-source heat pump, and establishing a unit efficiency model; S4, formulating climate compensation rules to match the target temperature required to be maintained by various types of buildings under future outdoor temperature conditions; S5, optimizing the supply task based on the unit efficiency model and the amount of heat supplied, and analyzing the future amount of gas supplied in the heating area. The present invention dynamically adjusts the heating system parameters, optimizes the heating strategy, and maximizes the utilization of the unit efficiency, thereby improving the flexibility and response speed of the heating system, reducing the heating cost, and improving the user's comfort.

A method, system, electronic device and storage medium for intelligent classification of electronic archives, relating to the field of data processing technology. The method comprises: obtaining electronic document information of a target enterprise; extracting document features corresponding to multiple first documents from the electronic document information, the document features including the frequency of sensitive words, departmental relevance and document circulation range; performing rule matching on each document feature, determining the rule triggering result of each first document, and calculating the rule triggering density of each first document; screening out multiple second documents whose rule triggering density is greater than a threshold; constructing a risk transmission chain network according to the document features and rule triggering results of each second document, and calculating the transmission risk value corresponding to each second document based on the risk transmission chain network; classifying each second document in combination with each transmission risk value and storing it in the document library of the target enterprise. The technical solution provided by the present application is implemented to achieve the effect of improving the accuracy of intelligent classification of electronic archives.

The invention discloses an index pushing method, electronic equipment and a computer readable storage medium. In response to a received index sending instruction, generating an index name of each index according to the private index naming template configuration information of each index sender; performing index registration based on index names in the private index naming template configuration information to obtain indexes; and carrying out pushing processing on the corresponding indexes through the index transmitters. Therefore, the problem of index registration failure caused by index name conflict can be solved.

The invention provides a reply generation method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. Based on the query information, knowledge fragments matched with the query information are retrieved in a multi-level cache region, and knowledge document data with different updating frequencies are stored in different cache levels of the multi-level cache region; and inputting the query information and the knowledge fragments into a reply generation model, and obtaining reply contents generated by the reply generation model. According to the reply generation method and device, the electronic equipment and the storage medium provided by the invention, the knowledge document data is stored in different cache hierarchies according to the updating frequency of the knowledge document data, and differential management of dynamic change data and stable data is realized, so that real-time updating of the data and the retention efficiency of the cache can be effectively considered, and the user experience is improved. The cache data lag is avoided, and the accuracy and response speed of the final reply content are improved while the cache hit rate is ensured.

This application provides a spectrum monitoring method and system, relating to the field of spectrum monitoring technology. The method includes: performing feature analysis on spectrum data collected by multiple monitoring terminals to generate spectrum feature values; calculating anomaly indices for each spectrum data based on the spectrum feature values; generating a first compression scheme for the spectrum data by combining the terminal characteristics and anomaly indices of each monitoring terminal; adjusting the first compression scheme based on the location information of each monitoring terminal to generate a second compression scheme; adjusting the second compression scheme based on the historical data acquisition quality of each monitoring terminal to generate a target compression scheme; compressing the spectrum data collected by each monitoring terminal using the target compression scheme to generate target spectrum data; determining storage priorities based on the spatiotemporal aggregation degree of each target spectrum data; and hierarchically storing the target spectrum data according to the storage priorities. The technical effect of this application is: accurate compression of spectrum data, reducing the waste of storage resources.