CN118586631B - A device management method and system for smart fire protection - Google Patents

A device management method and system for smart fire protection Download PDF

Info

Publication number
CN118586631B
CN118586631B CN202410659007.8A CN202410659007A CN118586631B CN 118586631 B CN118586631 B CN 118586631B CN 202410659007 A CN202410659007 A CN 202410659007A CN 118586631 B CN118586631 B CN 118586631B
Authority
CN
China
Prior art keywords
analysis
equipment
area
data
deployment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202410659007.8A
Other languages
Chinese (zh)
Other versions
CN118586631A (en
Inventor
王寅锋
王灿
严金华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yuezhifeng Safety Technology Nanjing Co ltd
Original Assignee
Yuezhifeng Safety Technology Nanjing Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yuezhifeng Safety Technology Nanjing Co ltd filed Critical Yuezhifeng Safety Technology Nanjing Co ltd
Priority to CN202410659007.8A priority Critical patent/CN118586631B/en
Publication of CN118586631A publication Critical patent/CN118586631A/en
Application granted granted Critical
Publication of CN118586631B publication Critical patent/CN118586631B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/381—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using identifiers, e.g. barcodes, RFIDs
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/383—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/387—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Library & Information Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Computing Systems (AREA)
  • Primary Health Care (AREA)
  • Medical Informatics (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Alarm Systems (AREA)

Abstract

本发明提供一种应用于智慧消防的设备管理方法及系统，其中方法包括：对设备上传至平台的数据进行初次分析，依据初次分析的分析结果，调取对应的分析库和二次数据处理分析规则；依据调取的二次数据处理分析规则对数据进行二次处理分析，并采用分析库对二次处理分析结果进行解译，得到设备的监测结果。本发明的应用于智慧消防的设备管理方法，实现对接入平台的设备的状态的准确分析，进而保证接入平台的智慧消防设备的状态的稳定。

The present invention provides an equipment management method and system for smart firefighting, wherein the method includes: performing a primary analysis on the data uploaded by the equipment to the platform, and calling the corresponding analysis library and secondary data processing analysis rules according to the analysis results of the primary analysis; performing secondary processing analysis on the data according to the called secondary data processing analysis rules, and using the analysis library to interpret the secondary processing analysis results to obtain the monitoring results of the equipment. The equipment management method for smart firefighting of the present invention realizes accurate analysis of the status of the equipment connected to the platform, thereby ensuring the stability of the status of the smart firefighting equipment connected to the platform.

Description

Equipment management method and system applied to intelligent fire fighting
Technical Field
The invention relates to the technical field of equipment management and maintenance, in particular to an equipment management method and system applied to intelligent fire fighting.
Background
Compared with traditional fire control, the intelligent fire control is realized by utilizing technologies such as the Internet of things, big data, artificial intelligence and the like to enable the fire control to be automatic, intelligent, systematic and fine, and the intelligent part is mainly embodied in four aspects such as intelligent prevention and control, intelligent management, intelligent combat and intelligent command.
Traditional fire control, the management of fire control facilities relies on manual work, and a common form is that related personnel check equipment and then register related conditions. In real situations, the related information of the fire-fighting equipment is inaccurate due to no good supervision mechanism, and the current information situation can not provide help or even mislead the field fight once a fire disaster occurs.
The intelligent fire control can well record the position and the state of the current fire control equipment by utilizing technologies such as the Internet of things and infrared sensing, and if a system is damaged and time repair is performed, the fire control equipment can be better ensured to be in good condition, and accurate equipment information is provided.
For intelligent fire control, the method can accurately analyze the state of equipment connected to the platform, and is a basis for ensuring that the intelligent fire control can be used when the intelligent fire control needs to be used.
Disclosure of Invention
The invention aims to provide a device management method and a system applied to intelligent fire control, which are used for accurately analyzing the state of the device of an access platform and further ensuring the stability of the state of the intelligent fire control device of the access platform.
The device management method applied to intelligent fire protection provided by the embodiment of the invention comprises the following steps:
Performing primary analysis on the data uploaded to the platform by the equipment, and calling a corresponding analysis library and a secondary data processing analysis rule according to an analysis result of the primary analysis;
And carrying out secondary processing analysis on the data according to the called secondary data processing analysis rule, and adopting an analysis library to interpret the secondary processing analysis result to obtain the monitoring result of the equipment.
Preferably, the primary analysis comprises:
Carrying out keyword recognition on the data according to a preset keyword library, and extracting associated data of keywords and keyword association when the keywords are recognized;
taking the extracted keywords and the associated data as analysis results;
and/or the number of the groups of groups,
According to a first preset feature data extraction rule, carrying out feature extraction on the data, and constructing a primary analysis parameter array based on the extracted features;
according to a preconfigured array interpretation library, interpreting the primary analysis parameter array to obtain a corresponding interpretation result;
and taking the interpretation result as an analysis result.
Preferably, the device management method applied to intelligent fire protection further comprises:
When a data analysis instruction and data to be analyzed are received, the data analysis instruction is analyzed to call a corresponding analysis library and a secondary data processing analysis rule.
Preferably, the device management method applied to intelligent fire protection further comprises:
When an access application of an access terminal is received, a corresponding access interface is called according to equipment type data in the access application, and the access interface is pre-filled according to positioning data in the access application;
outputting the filled access interface to the equipment access terminal and receiving the modification of the access interface by the equipment access terminal;
And when the determination information of the access terminal for the access interface is received, performing access operation on the equipment according to the information of the current access interface.
Preferably, the access terminal includes a body and a device connector;
the main body comprises a first communication module, a first processor, an RFID reading module and a display module;
the equipment connector comprises a connection interface, a data acquisition module, a second processor, a positioning module and a second communication module.
The invention also provides a device management system applied to intelligent fire fighting, which comprises a primary analysis unit and a secondary analysis unit;
The secondary analysis unit performs secondary processing analysis on the data according to the fetched secondary data processing analysis rules, and interprets the secondary processing analysis result by adopting the analysis library to obtain a monitoring result of the equipment.
Preferably, the primary analysis comprises:
Carrying out keyword recognition on the data according to a preset keyword library, and extracting associated data of keywords and keyword association when the keywords are recognized;
taking the extracted keywords and the associated data as analysis results;
and/or the number of the groups of groups,
According to a first preset feature data extraction rule, carrying out feature extraction on the data, and constructing a primary analysis parameter array based on the extracted features;
according to a preconfigured array interpretation library, interpreting the primary analysis parameter array to obtain a corresponding interpretation result;
and taking the interpretation result as an analysis result.
Preferably, the device management system applied to intelligent fire protection further comprises a direct analysis unit,
When a data analysis instruction and data to be analyzed are received, the direct analysis unit analyzes the data analysis instruction to call a corresponding analysis library and a secondary data processing analysis rule.
Preferably, the device management system applied to intelligent fire fighting further comprises a device access unit;
when the device access unit receives an access application of the access terminal, the device access unit performs the following operations:
according to the equipment type data in the access application, a corresponding access interface is called and prefilled is carried out on the access interface according to the positioning data in the access application;
outputting the filled access interface to the equipment access terminal and receiving the modification of the access interface by the equipment access terminal;
And when the determination information of the access terminal for the access interface is received, performing access operation on the equipment according to the information of the current access interface.
Preferably, the access terminal includes a body and a device connector;
the main body comprises a first communication module, a first processor, an RFID reading module and a display module;
the equipment connector comprises a connection interface, a data acquisition module, a second processor, a positioning module and a second communication module.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of an apparatus management method for intelligent fire protection according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an apparatus management system for intelligent fire protection according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a device management method applied to intelligent fire protection, as shown in fig. 1, comprising the following steps:
Step one, carrying out primary analysis on data uploaded to a platform by equipment, and calling a corresponding analysis library and a secondary data processing analysis rule according to an analysis result of the primary analysis;
And secondly, carrying out secondary processing analysis on the data according to the called secondary data processing analysis rule, and interpreting a secondary processing analysis result by adopting an analysis library to obtain a monitoring result of the equipment.
Wherein the primary analysis comprises:
Carrying out keyword recognition on the data according to a preset keyword library, and extracting associated data of keywords and keyword association when the keywords are recognized;
taking the extracted keywords and the associated data as analysis results;
and/or the number of the groups of groups,
According to a first preset feature data extraction rule, carrying out feature extraction on the data, and constructing a primary analysis parameter array based on the extracted features;
according to a preconfigured array interpretation library, interpreting the primary analysis parameter array to obtain a corresponding interpretation result;
and taking the interpretation result as an analysis result.
The primary analysis parameter array comprises a characteristic value representing whether current data exist, a characteristic value representing current average value, a characteristic value representing whether pressure data exist, a characteristic value representing pressure average value, a characteristic value representing whether voltage data exist, a characteristic value representing whether water quantity data exist and a characteristic value representing water quantity value.
The device management method of the embodiment comprises the steps of firstly carrying out primary analysis on the device which is accessed to the platform and then receiving data uploaded to the platform by the device, wherein the primary analysis mainly determines an analysis library used for carrying out secondary analysis in depth and a secondary data processing analysis rule which is matched with the analysis library and is used for carrying out secondary analysis on the data, so that whether the device operates normally or not is found out, outputting an alarm to remind a worker to carry out processing when the device is abnormal, the primary analysis of a keyword library is adopted, keywords comprise a device model, a device type and the like, corresponding associated data are specific representation characters of the device model and specific representation characters of the device type, when the keywords are not identified, intelligent judgment can be carried out in a mode of analyzing the characteristics of the data, and the intelligent judgment is carried out characteristic extraction on the data, and the extracted characteristics are used for inquiring the array to determine the device type and the device model and the like corresponding to the data. And secondary analysis, namely carrying out feature extraction analysis on the data according to a secondary data analysis rule, constructing a corresponding feature data set, and further calling a corresponding analysis result through a preconfigured analysis library to serve as a monitoring result.
In one embodiment, the device management method applied to intelligent fire protection further comprises:
When a data analysis instruction and data to be analyzed are received, the data analysis instruction is analyzed to call a corresponding analysis library and a secondary data processing analysis rule.
The platform also receives the uploaded data of the user for direct analysis, the uploaded data is directly analyzed in the mode, the user is required to select parameter information of equipment corresponding to the uploaded data on an interface of the uploaded data, the parameter information comprises equipment type, equipment model and the like, the parameter information is embedded when a data analysis instruction is generated, the platform directly analyzes the instruction data, and the platform can directly call a corresponding analysis library and a secondary data processing analysis rule and directly analyze the data.
In one embodiment, the device management method applied to intelligent fire protection further comprises:
When an access application of an access terminal is received, a corresponding access interface is called according to equipment type data in the access application, and the access interface is pre-filled according to positioning data in the access application;
outputting the filled access interface to the equipment access terminal and receiving the modification of the access interface by the equipment access terminal;
And when the determination information of the access terminal for the access interface is received, performing access operation on the equipment according to the information of the current access interface.
Wherein the access terminal comprises a body and a device connector;
the main body comprises a first communication module, a first processor, an RFID reading module and a display module;
the equipment connector comprises a connection interface, a data acquisition module, a second processor, a positioning module and a second communication module.
The embodiment provides a method for accessing a platform by equipment, wherein a worker directly inserts an equipment connector into a connection interface (comprising a USB interface, RS232, RS486 and the like) of fire-fighting equipment to be accessed, a second processor collects data of the fire-fighting equipment through a data collection module, the second processor sends the collected data and positioning data of a positioning module to a main body through a second communication module, a first processor of the main body generates an access application based on the received data and sends the access application to the platform through the first communication module, the platform receives the access application and then fills an access interface and outputs the access application to a display module of the main body, the worker inputs and modifies the data on the interface, clicks a virtual key for confirming the interface after the completion of the data input, and the platform receives the access of the fire-fighting equipment.
When the new building is subjected to the layout of the fire-fighting equipment and the layout of the existing fire-fighting equipment in the old building is optimized, the layout and the optimization are often not optimal because of the large difference of the experience of the analysts, and in order to cope with the layout and the optimization scene of the fire-fighting equipment, in one embodiment, the equipment management method applied to intelligent fire-fighting further comprises:
Receiving a mode selected by a user on a preconfigured mode selection interface;
outputting a preset first data acquisition interface when the selected mode is first layout, wherein the data acquisition items on the first data acquisition interface comprise a three-dimensional model diagram of a building, the geographic position of the building, the purpose of the building, the type of fire-fighting equipment used for layout, equipment parameters and the like;
For example, the three-dimensional model graph is segmented according to the size of N, N and M in the segmentation and sampling rule, wherein M can be the layer height of a floor, the sampling point can be the center of settable positions such as a wall, a ceiling and the like in each segmentation unit, and when no settable position exists in the segmentation unit, the center of the segmentation unit can be used as the sampling point;
Constructing a parameter data set for equipment layout density analysis according to the geographical position of the building, the purpose of the building, the type of the fire-fighting equipment used for layout and the equipment parameters, wherein each parameter data in the parameter data set is respectively a quantized parameter value corresponding to the geographical position of the building, the purpose of the building, the type of the fire-fighting equipment used for layout and the equipment parameters;
Determining an analysis result set of equipment layout density according to the parameter data set and a preconfigured equipment layout density analysis library; the equipment layout density analysis library is configured in advance, equipment layout density analysis result sets in the library are in one-to-one correspondence with parameter data sets, and the equipment layout density analysis result sets store layout densities corresponding to various types of groups;
Determining the layout density of the fire-fighting equipment of each type group for layout based on the analysis result set, wherein the type groups are equipment compositions of different types with the same function;
For example, a corresponding distance value can be inquired through a pre-configured layout density and effective management and control distance corresponding table to layout density, and then the partition units with the distance from the sampling point in the inquired distance value range are related to the partition units;
The method comprises the steps of constructing a priority analysis set for analyzing the priority values of sampling points based on segmentation units associated with sampling point bits, counting equipment and unit properties in each segmentation unit through a preset statistical template, and filling the statistical values into positions corresponding to the preset priority analysis set template to construct the priority analysis set, wherein the equipment comprises a gas pipeline, high-power mechanical equipment, an electric box and the like, and the unit properties comprise a passageway, a kitchen, a restaurant hall, a gift shop, a toy shop and the like;
Determining the priority value of each sampling point for each type group according to a pre-configured priority value analysis library corresponding to each type group and a priority analysis set corresponding to the sampling point, wherein the priority value analysis library is pre-configured, the priority analysis set in the priority value analysis library is associated with the priority value, and the corresponding priority value can be directly inquired through the priority analysis set;
Mapping the priority values of each sampling point to each type group to the three-dimensional model graph according to different type groups to form a distribution selection graph corresponding to each type group;
and determining the layout positions of the fire-fighting equipment of each type group based on the layout density and the distribution selection diagram corresponding to each type group.
The method for determining the layout positions of the fire-fighting equipment of each type group based on the layout density and the distribution selection diagram corresponding to each type group comprises the following steps:
Determining the number of the layout equipment based on the layout density and the plane total area of the building, for example, the layout equipment number can be determined by inquiring a preset layout equipment number determining table with the layout density and the plane total area as references;
Determining preselected points with the same or integral multiple of the number of the layout equipment from sampling points in a distribution selection chart according to the sequence from the high priority value to the low priority value of the sampling points;
Determining whether the distance between the preselected points is greater than or equal to the layout density, and deleting the preselected points with lower priority values when two points with the density smaller than the layout density exist;
Determining an uncontrolled area according to the rest of the segmentation units associated with the preselected points, wherein the uncontrolled area is an area outside the area formed by all segmentation units associated with all the preselected points of the building;
Carrying out boundary identification on the non-controlled areas to obtain a plurality of closed unit areas;
comparing the area of each unit area with a preset area threshold value and a control area (namely the area of the area formed by all the segmentation units correspondingly associated with a single preselected point position);
when the area of each unit area is smaller than or equal to the area threshold value, the corresponding unit area is ignored;
When the area of each unit area is larger than the area threshold value and smaller than or equal to the control area, sampling points in the unit areas are sequentially extracted according to the sequence from the large priority value to the small priority value, and whether the area formed by the segmentation units corresponding to the extracted sampling points contains the unit areas is determined;
When the area is larger than the control area, dividing the unit area according to a preset dividing rule associated with the layout density, obtaining a plurality of subareas, neglecting the subareas smaller than or equal to the area threshold, sequentially extracting sampling points in the subareas according to the sequence of the priority values from large to small, determining whether the area formed by the division units corresponding to the extracted sampling points contains the subareas, and taking the sampling points extracted at the moment as the control points corresponding to the layout positions of the fire-fighting equipment when the area is contained.
In addition, when the selected mode is an optimized layout mode, outputting a preset second data acquisition interface, wherein the data acquisition items on the second data acquisition interface comprise a three-dimensional model diagram of the building (comprising the current fire-fighting layout condition), the geographic position of the building, the purpose of the building, the type of fire-fighting equipment used for layout, equipment parameters and the like;
according to preset segmentation and point location sampling rules, carrying out segmentation sampling on a three-dimensional model diagram of the building to obtain a plurality of segmentation units and a plurality of sampling points;
determining a type group based on the types of the fire-fighting equipment and the fire-fighting equipment for arrangement in the current fire-fighting arrangement situation;
Copying the three-dimensional model pictures subjected to segmentation and sampling treatment to obtain three-dimensional model pictures with the same number as that of the type groups;
Constructing a parameter data set for equipment layout density analysis according to the geographical position of a building, the use of the building, the type of fire-fighting equipment used for layout and equipment parameters;
determining an analysis result set of equipment layout density according to the parameter data set and a preconfigured equipment layout density analysis library;
Extracting a three-dimensional model diagram corresponding to any type group and determining the layout density corresponding to the extracted type group according to an analysis result set;
According to the fire-fighting layout condition of the fire-fighting equipment of the extracted type group, determining the layout point positions of the fire-fighting equipment from the three-dimensional model diagram;
based on the layout density, the dividing units are related to the layout point bit, and the dividing units related to the layout point bit and sampling points in the dividing units are ignored;
correlating the non-ignored segmented units with non-ignored sample point bits, again based on the layout density;
calculating the priority value of the sampling point position;
Determining an uncontrolled area, and carrying out boundary identification on the uncontrolled area to obtain a plurality of closed unit areas;
Comparing the area of each unit area with a preset area threshold value and a control area (namely, the area value of the largest area in the areas formed by the segmentation units correspondingly related to the single layout point positions) respectively;
when the area of each unit area is smaller than or equal to the area threshold value, the corresponding unit area is ignored;
When the area of each unit area is larger than the area threshold value and smaller than or equal to the control area, sampling points in the unit areas are sequentially extracted according to the sequence from the large priority value to the small priority value, and whether the area formed by the segmentation units corresponding to the extracted sampling points contains the unit areas is determined;
When the area is larger than the control area, dividing the unit area according to a preset dividing rule associated with the layout density, obtaining a plurality of subareas, neglecting the subareas smaller than or equal to the area threshold, sequentially extracting sampling points in the subareas according to the sequence of the priority values from large to small, determining whether the area formed by the division units corresponding to the extracted sampling points contains the subareas, and taking the sampling points extracted at the moment as the control points corresponding to the layout positions of the fire-fighting equipment when the area is contained.
In addition, the equipment layout density analysis library can be updated in real time, the layout density is determined again, the layout condition is optimized, and the optimization process refers to the processing mode of optimizing the layout mode.
The invention also provides a device management system applied to intelligent fire protection, as shown in figure 2, comprising a primary analysis unit 1 and a secondary analysis unit 2;
The primary analysis unit 1 performs primary analysis on data uploaded to the platform by the equipment, and according to an analysis result of the primary analysis, invokes a corresponding analysis library and a secondary data processing analysis rule, and the secondary analysis unit 2 performs secondary processing analysis on the data according to the invoked secondary data processing analysis rule, and interprets a secondary processing analysis result by adopting the analysis library to obtain a monitoring result of the equipment.
Wherein the primary analysis comprises:
Carrying out keyword recognition on the data according to a preset keyword library, and extracting associated data of keywords and keyword association when the keywords are recognized;
taking the extracted keywords and the associated data as analysis results;
and/or the number of the groups of groups,
According to a first preset feature data extraction rule, carrying out feature extraction on the data, and constructing a primary analysis parameter array based on the extracted features;
according to a preconfigured array interpretation library, interpreting the primary analysis parameter array to obtain a corresponding interpretation result;
and taking the interpretation result as an analysis result.
In one embodiment, the device management system applied to intelligent fire protection further comprises a direct analysis unit,
When a data analysis instruction and data to be analyzed are received, the direct analysis unit analyzes the data analysis instruction to call a corresponding analysis library and a secondary data processing analysis rule.
In one embodiment, the device management system applied to intelligent fire protection further comprises a device access unit;
when the device access unit receives an access application of the access terminal, the device access unit performs the following operations:
according to the equipment type data in the access application, a corresponding access interface is called and prefilled is carried out on the access interface according to the positioning data in the access application;
outputting the filled access interface to the equipment access terminal and receiving the modification of the access interface by the equipment access terminal;
And when the determination information of the access terminal for the access interface is received, performing access operation on the equipment according to the information of the current access interface.
Wherein the access terminal comprises a body and a device connector;
the main body comprises a first communication module, a first processor, an RFID reading module and a display module;
the equipment connector comprises a connection interface, a data acquisition module, a second processor, a positioning module and a second communication module.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1.一种应用于智慧消防的设备管理方法，其特征在于，包括：1. A device management method for smart fire protection, characterized by comprising: 对设备上传至平台的数据进行初次分析，依据初次分析的分析结果，调取对应的分析库和二次数据处理分析规则；Perform a primary analysis on the data uploaded by the device to the platform, and retrieve the corresponding analysis library and secondary data processing analysis rules based on the results of the primary analysis; 依据调取的二次数据处理分析规则对数据进行二次处理分析，并采用分析库对二次处理分析结果进行解译，得到设备的监测结果；Perform secondary data processing and analysis on the data according to the retrieved secondary data processing and analysis rules, and use the analysis library to interpret the secondary processing and analysis results to obtain the monitoring results of the equipment; 还包括：Also includes: 接收用户在预先配置的模式选择界面选择的模式；receiving a mode selected by a user in a pre-configured mode selection interface; 当选择的模式为首次布设时，输出预设的第一数据获取界面；第一数据获取界面上的数据获取项包括：建筑的三维模型图、建筑的所在的地理位置、建筑的用途、用于布设的消防设备的类型以及设备参数；When the selected mode is the first deployment, a preset first data acquisition interface is output; the data acquisition items on the first data acquisition interface include: a three-dimensional model of the building, the geographical location of the building, the purpose of the building, the type of fire-fighting equipment used for deployment, and equipment parameters; 依据预设的分割及点位采样规则，对建筑的三维模型图进行分割采样，获取多个分割单元和多个采样点位；According to the preset segmentation and point sampling rules, the three-dimensional model of the building is segmented and sampled to obtain multiple segmentation units and multiple sampling points; 依据建筑的所在的地理位置、建筑的用途、用于布设的消防设备的类型以及设备参数，构建用于设备布设密度分析的参数数据集；参数数据集中的各个参数数据分别为建筑的所在的地理位置、建筑的用途、用于布设的消防设备的类型以及设备参数对应的量化参数值；According to the geographical location of the building, the purpose of the building, the type of fire-fighting equipment used for deployment and the equipment parameters, a parameter data set for equipment deployment density analysis is constructed; each parameter data in the parameter data set is the geographical location of the building, the purpose of the building, the type of fire-fighting equipment used for deployment and the quantitative parameter value corresponding to the equipment parameter; 依据参数数据集和预先配置的设备布设密度分析库，确定设备布设密度的分析结果集；Determine an analysis result set of equipment deployment density based on a parameter data set and a pre-configured equipment deployment density analysis library; 基于分析结果集，确定用于布设的各个类型组的消防设备的布设密度；Determining the deployment density of firefighting equipment of each type group for deployment based on the analysis result set; 基于布设密度，将分割单元与采样点位相关联；Based on the layout density, the segmentation units are associated with the sampling points; 基于与采样点位相关联的分割单元，构建用于采样点位优先值分析的优先分析集；Based on the segmentation units associated with the sampling points, a priority analysis set for priority value analysis of the sampling points is constructed; 依据各个类型组对应的预先配置的优先值分析库和采样点位对应的优先分析集，确定各个采样点位对于各个类型组的优先值；Determine the priority value of each sampling point for each type group according to the pre-configured priority value analysis library corresponding to each type group and the priority analysis set corresponding to the sampling point; 将各个采样点位对于各个类型组的优先值，按照类型组不同，分别映射至三维模型图，形成各个类型组对应的分布选择图；The priority values of each sampling point for each type group are mapped to the three-dimensional model diagram according to different type groups to form a distribution selection diagram corresponding to each type group; 基于各个类型组对应的布设密度和分布选择图，确定各个类型组的消防设备布设位置；Determine the layout location of firefighting equipment for each type group based on the layout density and distribution selection diagram corresponding to each type group; 其中，基于各个类型组对应的布设密度和分布选择图，确定各个类型组的消防设备布设位置，包括：Among them, based on the layout density and distribution selection diagram corresponding to each type group, the layout location of the fire-fighting equipment of each type group is determined, including: 基于布设密度和建筑的平面总面积，确定布设设备数；Determine the number of devices to be deployed based on deployment density and the total floor area of the building; 依据采样点位的优先值的从大到小的顺序从分布选择图中的采样点位中确定出布设设备数相同或整数倍的预选点位；Determine the pre-selected points with the same or an integer multiple of the number of deployed devices from the sampling points in the distribution selection diagram according to the priority values of the sampling points from large to small; 确定预选点位之间的距离是否大于等于布设密度，当存在小于布设密度两个点位时，删除优先值较低的预选点位；将剩余的预选点位作为消防设备布设位置对应的布控点位；Determine whether the distance between the pre-selected points is greater than or equal to the deployment density. If there are two points with a lower priority than the deployment density, delete the pre-selected points with lower priority values; and use the remaining pre-selected points as the control points corresponding to the deployment positions of the fire-fighting equipment; 依据剩余的预选点位关联的分割单元，确定未布控区域；其中，未布控区域为建筑的所有的预选点位关联的所有的分割单元组成区域之外的区域；According to the segmentation units associated with the remaining pre-selected points, an uncontrolled area is determined; wherein the uncontrolled area is an area outside the area composed of all the segmentation units associated with all the pre-selected points of the building; 对未布控区域进行边界识别，获取多个闭合的单元区域；Identify the boundaries of uncontrolled areas and obtain multiple closed unit areas; 将各个单元区域的面积分别与预设的面积阈值、布控面积进行比较；Compare the area of each unit area with the preset area threshold and control area respectively; 当各个单元区域的面积小于等于面积阈值时，忽略对应的单元区域；When the area of each unit area is less than or equal to the area threshold, the corresponding unit area is ignored; 当各个单元区域的面积大于面积阈值且小于等于布控面积时，依据优先值从大到小的顺序依次提取单元区域内采样点位，确定提取的采样点位对应关联的分割单元所组成的区域是否包含单元区域；当包含时将此时提取的采样点位作为消防设备布设位置对应的布控点位；When the area of each unit area is greater than the area threshold and less than or equal to the control area, the sampling points in the unit area are extracted in order from large to small according to the priority value, and it is determined whether the area composed of the segmentation units corresponding to the extracted sampling points contains the unit area; if it does, the sampling points extracted at this time are used as the control points corresponding to the fire equipment deployment position; 当大于布控面积时，依据与布设密度关联的预先配置的分割规则，对单元区域分割，获取多个子区域，将小于等于面积阈值的子区域忽略，依据优先值从大到小的顺序依次提取子区域内采样点位，确定提取的采样点位对应关联的分割单元所组成的区域是否包含子区域；当包含时将此时提取的采样点位作为消防设备布设位置对应的布控点位。When it is larger than the controlled area, the unit area is segmented according to the pre-configured segmentation rules associated with the deployment density to obtain multiple sub-areas, and the sub-areas that are less than or equal to the area threshold are ignored. The sampling points in the sub-areas are extracted in descending order according to the priority values, and it is determined whether the area composed of the segmentation units associated with the extracted sampling points contains the sub-area; if it does, the sampling points extracted at this time are used as the control points corresponding to the deployment position of the fire-fighting equipment. 2.根据权利要求1所述的应用于智慧消防的设备管理方法，其特征在于，初次分析包括：2. The equipment management method for smart fire protection according to claim 1, characterized in that the initial analysis includes: 依据预设的关键词库，对数据进行关键词识别，当识别到关键词时，提取关键词与关键词关联的关联数据；According to the preset keyword library, the data is subjected to keyword recognition, and when a keyword is recognized, the keyword and the associated data associated with the keyword are extracted; 将提取的关键词和关联数据作为分析结果；The extracted keywords and associated data are used as analysis results; 和/或，and/or, 依据预先配置的第一特征数据提取规则，对数据进行特征提取，并基于提取的特征构建一次分析参数阵列；Extracting features from the data according to a pre-configured first feature data extraction rule, and constructing an analysis parameter array based on the extracted features; 依据预先配置的阵列解译库，对一次分析参数阵列进行解译，得到对应的解译结果；According to the pre-configured array interpretation library, an analysis parameter array is interpreted to obtain a corresponding interpretation result; 将解译结果作为分析结果。The interpretation results are taken as analysis results. 3.根据权利要求1所述的应用于智慧消防的设备管理方法，其特征在于，还包括：3. The equipment management method for smart fire protection according to claim 1, characterized in that it also includes: 当接收到数据分析指令和待分析数据时，解析数据分析指令以调取对应的分析库和二次数据处理分析规则。When a data analysis instruction and data to be analyzed are received, the data analysis instruction is parsed to retrieve a corresponding analysis library and secondary data processing analysis rules. 4.根据权利要求1所述的应用于智慧消防的设备管理方法，其特征在于，还包括：4. The equipment management method for smart fire protection according to claim 1, characterized in that it also includes: 当接收到接入终端的接入申请时，依据接入申请中的设备类型数据调取对应的接入界面并依据接入申请中的定位数据对接入界面进行预填充；When receiving an access application from an access terminal, calling a corresponding access interface according to the device type data in the access application and pre-filling the access interface according to the positioning data in the access application; 将填充后的接入界面输出至设备接入终端并接收设备接入终端对于接入界面的修改；Outputting the filled access interface to the device access terminal and receiving the modification of the access interface by the device access terminal; 当接收到接入终端对于接入界面的确定信息时，依据当前接入界面的信息对设备进行接入操作。When the access terminal receives confirmation information about the access interface, the device is accessed according to the information of the current access interface. 5.根据权利要求4所述的应用于智慧消防的设备管理方法，其特征在于，接入终端包括主体和设备连接体；5. The device management method for smart fire protection according to claim 4 is characterized in that the access terminal includes a main body and a device connector; 其中，主体包括：第一通讯模块、第一处理器、RFID读取模块和显示模块；Wherein, the main body includes: a first communication module, a first processor, an RFID reading module and a display module; 设备连接体包括：连接接口、数据采集模块、第二处理器、定位模块和第二通讯模块。The device connector includes: a connection interface, a data acquisition module, a second processor, a positioning module and a second communication module. 6.一种应用于智慧消防的设备管理系统，其特征在于，包括：初次分析单元和二次分析单元；6. An equipment management system applied to smart fire protection, characterized by comprising: a primary analysis unit and a secondary analysis unit; 其中，初次分析单元对设备上传至平台的数据进行初次分析，依据初次分析的分析结果，调取对应的分析库和二次数据处理分析规则；二次分析单元依据调取的二次数据处理分析规则对数据进行二次处理分析，并采用分析库对二次处理分析结果进行解译，得到设备的监测结果；Among them, the primary analysis unit performs primary analysis on the data uploaded by the device to the platform, and retrieves the corresponding analysis library and secondary data processing analysis rules based on the analysis results of the primary analysis; the secondary analysis unit performs secondary processing and analysis on the data based on the retrieved secondary data processing and analysis rules, and uses the analysis library to interpret the secondary processing and analysis results to obtain the monitoring results of the equipment; 还包括：设备接入单元；设备接入单元执行如下操作：It also includes: a device access unit; the device access unit performs the following operations: 接收用户在预先配置的模式选择界面选择的模式；receiving a mode selected by a user in a pre-configured mode selection interface; 当选择的模式为首次布设时，输出预设的第一数据获取界面；第一数据获取界面上的数据获取项包括：建筑的三维模型图、建筑的所在的地理位置、建筑的用途、用于布设的消防设备的类型以及设备参数；When the selected mode is the first deployment, a preset first data acquisition interface is output; the data acquisition items on the first data acquisition interface include: a three-dimensional model of the building, the geographical location of the building, the purpose of the building, the type of fire-fighting equipment used for deployment, and equipment parameters; 依据预设的分割及点位采样规则，对建筑的三维模型图进行分割采样，获取多个分割单元和多个采样点位；According to the preset segmentation and point sampling rules, the three-dimensional model of the building is segmented and sampled to obtain multiple segmentation units and multiple sampling points; 依据建筑的所在的地理位置、建筑的用途、用于布设的消防设备的类型以及设备参数，构建用于设备布设密度分析的参数数据集；参数数据集中的各个参数数据分别为建筑的所在的地理位置、建筑的用途、用于布设的消防设备的类型以及设备参数对应的量化参数值；According to the geographical location of the building, the purpose of the building, the type of fire-fighting equipment used for deployment and the equipment parameters, a parameter data set for equipment deployment density analysis is constructed; each parameter data in the parameter data set is the geographical location of the building, the purpose of the building, the type of fire-fighting equipment used for deployment and the quantitative parameter value corresponding to the equipment parameter; 依据参数数据集和预先配置的设备布设密度分析库，确定设备布设密度的分析结果集；Determine an analysis result set of equipment deployment density based on a parameter data set and a pre-configured equipment deployment density analysis library; 基于分析结果集，确定用于布设的各个类型组的消防设备的布设密度；Determining the deployment density of firefighting equipment of each type group for deployment based on the analysis result set; 基于布设密度，将分割单元与采样点位相关联；Based on the layout density, the segmentation units are associated with the sampling points; 基于与采样点位相关联的分割单元，构建用于采样点位优先值分析的优先分析集；Based on the segmentation units associated with the sampling points, a priority analysis set for priority value analysis of the sampling points is constructed; 依据各个类型组对应的预先配置的优先值分析库和采样点位对应的优先分析集，确定各个采样点位对于各个类型组的优先值；Determine the priority value of each sampling point for each type group according to the pre-configured priority value analysis library corresponding to each type group and the priority analysis set corresponding to the sampling point; 将各个采样点位对于各个类型组的优先值，按照类型组不同，分别映射至三维模型图，形成各个类型组对应的分布选择图；The priority values of each sampling point for each type group are mapped to the three-dimensional model diagram according to different type groups to form a distribution selection diagram corresponding to each type group; 基于各个类型组对应的布设密度和分布选择图，确定各个类型组的消防设备布设位置；Determine the layout location of firefighting equipment for each type group based on the layout density and distribution selection diagram corresponding to each type group; 其中，基于各个类型组对应的布设密度和分布选择图，确定各个类型组的消防设备布设位置，包括：Among them, based on the layout density and distribution selection diagram corresponding to each type group, the layout location of the fire-fighting equipment of each type group is determined, including: 基于布设密度和建筑的平面总面积，确定布设设备数；Determine the number of devices to be deployed based on deployment density and the total floor area of the building; 依据采样点位的优先值的从大到小的顺序从分布选择图中的采样点位中确定出布设设备数相同或整数倍的预选点位；Determine the pre-selected points with the same or an integer multiple of the number of deployed devices from the sampling points in the distribution selection diagram according to the priority values of the sampling points from large to small; 确定预选点位之间的距离是否大于等于布设密度，当存在小于布设密度两个点位时，删除优先值较低的预选点位；将剩余的预选点位作为消防设备布设位置对应的布控点位；Determine whether the distance between the pre-selected points is greater than or equal to the deployment density. If there are two points with a lower priority than the deployment density, delete the pre-selected points with lower priority values; and use the remaining pre-selected points as the control points corresponding to the deployment positions of the fire-fighting equipment; 依据剩余的预选点位关联的分割单元，确定未布控区域；其中，未布控区域为建筑的所有的预选点位关联的所有的分割单元组成区域之外的区域；According to the segmentation units associated with the remaining pre-selected points, an uncontrolled area is determined; wherein the uncontrolled area is an area outside the area composed of all the segmentation units associated with all the pre-selected points of the building; 对未布控区域进行边界识别，获取多个闭合的单元区域；Identify the boundaries of uncontrolled areas and obtain multiple closed unit areas; 将各个单元区域的面积分别与预设的面积阈值、布控面积进行比较；Compare the area of each unit area with the preset area threshold and control area respectively; 当各个单元区域的面积小于等于面积阈值时，忽略对应的单元区域；When the area of each unit area is less than or equal to the area threshold, the corresponding unit area is ignored; 当各个单元区域的面积大于面积阈值且小于等于布控面积时，依据优先值从大到小的顺序依次提取单元区域内采样点位，确定提取的采样点位对应关联的分割单元所组成的区域是否包含单元区域；当包含时将此时提取的采样点位作为消防设备布设位置对应的布控点位；When the area of each unit area is greater than the area threshold and less than or equal to the control area, the sampling points in the unit area are extracted in order from large to small according to the priority value, and it is determined whether the area composed of the segmentation units corresponding to the extracted sampling points contains the unit area; if it does, the sampling points extracted at this time are used as the control points corresponding to the fire equipment deployment position; 当大于布控面积时，依据与布设密度关联的预先配置的分割规则，对单元区域分割，获取多个子区域，将小于等于面积阈值的子区域忽略，依据优先值从大到小的顺序依次提取子区域内采样点位，确定提取的采样点位对应关联的分割单元所组成的区域是否包含子区域；当包含时将此时提取的采样点位作为消防设备布设位置对应的布控点位。When it is larger than the controlled area, the unit area is segmented according to the pre-configured segmentation rules associated with the deployment density to obtain multiple sub-areas, and the sub-areas that are less than or equal to the area threshold are ignored. The sampling points in the sub-areas are extracted in descending order according to the priority values, and it is determined whether the area composed of the segmentation units associated with the extracted sampling points contains the sub-area; if it does, the sampling points extracted at this time are used as the control points corresponding to the deployment position of the fire-fighting equipment. 7.根据权利要求6所述的应用于智慧消防的设备管理系统，其特征在于，初次分析包括：7. The equipment management system for smart fire protection according to claim 6, wherein the initial analysis includes: 依据预设的关键词库，对数据进行关键词识别，当识别到关键词时，提取关键词与关键词关联的关联数据；According to the preset keyword library, the data is subjected to keyword recognition, and when a keyword is recognized, the keyword and the associated data associated with the keyword are extracted; 将提取的关键词和关联数据作为分析结果；The extracted keywords and associated data are used as analysis results; 和/或，and/or, 依据预先配置的第一特征数据提取规则，对数据进行特征提取，并基于提取的特征构建一次分析参数阵列；Extracting features from the data according to a pre-configured first feature data extraction rule, and constructing an analysis parameter array based on the extracted features; 依据预先配置的阵列解译库，对一次分析参数阵列进行解译，得到对应的解译结果；According to the pre-configured array interpretation library, an analysis parameter array is interpreted to obtain a corresponding interpretation result; 将解译结果作为分析结果。The interpretation results are taken as analysis results. 8.根据权利要求6所述的应用于智慧消防的设备管理系统，其特征在于，还包括：直接分析单元，8. The equipment management system for smart fire protection according to claim 6 is characterized by further comprising: a direct analysis unit, 当接收到数据分析指令和待分析数据时，直接分析单元解析数据分析指令以调取对应的分析库和二次数据处理分析规则。When receiving the data analysis instruction and the data to be analyzed, the direct analysis unit parses the data analysis instruction to retrieve the corresponding analysis library and secondary data processing analysis rules. 9.根据权利要求6所述的应用于智慧消防的设备管理系统，其特征在于，还包括：设备接入单元；9. The equipment management system for smart fire protection according to claim 6, characterized in that it also includes: an equipment access unit; 当设备接入单元接收到接入终端的接入申请时，设备接入单元执行如下操作：When the device access unit receives an access application from an access terminal, the device access unit performs the following operations: 依据接入申请中的设备类型数据调取对应的接入界面并依据接入申请中的定位数据对接入界面进行预填充；Retrieving the corresponding access interface according to the device type data in the access application and pre-filling the access interface according to the positioning data in the access application; 将填充后的接入界面输出至设备接入终端并接收设备接入终端对于接入界面的修改；Outputting the filled access interface to the device access terminal and receiving the modification of the access interface by the device access terminal; 当接收到接入终端对于接入界面的确定信息时，依据当前接入界面的信息对设备进行接入操作。When the access terminal receives confirmation information about the access interface, the device is accessed according to the information of the current access interface. 10.根据权利要求9所述的应用于智慧消防的设备管理系统，其特征在于，接入终端包括主体和设备连接体；10. The equipment management system for smart fire protection according to claim 9, characterized in that the access terminal comprises a main body and an equipment connector; 其中，主体包括：第一通讯模块、第一处理器、RFID读取模块和显示模块；Wherein, the main body includes: a first communication module, a first processor, an RFID reading module and a display module; 设备连接体包括：连接接口、数据采集模块、第二处理器、定位模块和第二通讯模块。The device connector includes: a connection interface, a data acquisition module, a second processor, a positioning module and a second communication module.
CN202410659007.8A 2024-05-27 2024-05-27 A device management method and system for smart fire protection Active CN118586631B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410659007.8A CN118586631B (en) 2024-05-27 2024-05-27 A device management method and system for smart fire protection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410659007.8A CN118586631B (en) 2024-05-27 2024-05-27 A device management method and system for smart fire protection

Publications (2)

Publication Number Publication Date
CN118586631A CN118586631A (en) 2024-09-03
CN118586631B true CN118586631B (en) 2025-03-21

Family

ID=92525637

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410659007.8A Active CN118586631B (en) 2024-05-27 2024-05-27 A device management method and system for smart fire protection

Country Status (1)

Country Link
CN (1) CN118586631B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116166499A (en) * 2022-12-30 2023-05-26 中国电信股份有限公司 Data monitoring method and device, electronic equipment and nonvolatile storage medium
CN116993159A (en) * 2023-08-04 2023-11-03 北京赛博云睿智能科技有限公司 Monitoring and early warning notification method and system for risk event

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109443526A (en) * 2018-11-09 2019-03-08 中山大学 A kind of noise automated monitor point arrangement method based on Noise map
CN110687851A (en) * 2019-10-31 2020-01-14 广东安可云科技有限公司 Terminal operation monitoring system and method
CN111241646B (en) * 2020-01-10 2023-03-28 厦门亿力吉奥信息科技有限公司 Layout method of power grid equipment and computer readable storage medium
CN112633603B (en) * 2020-12-30 2024-01-23 光大环境科技（中国）有限公司 Method for adjusting distribution density of dustbin and visualization system thereof
CN116431719A (en) * 2023-04-14 2023-07-14 重庆京东方智慧科技有限公司 Internet of things data processing method and device, computer equipment and storage medium
CN117115390B (en) * 2023-09-11 2025-06-27 国网江苏电力设计咨询有限公司 A three-dimensional model layout method for substation equipment

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116166499A (en) * 2022-12-30 2023-05-26 中国电信股份有限公司 Data monitoring method and device, electronic equipment and nonvolatile storage medium
CN116993159A (en) * 2023-08-04 2023-11-03 北京赛博云睿智能科技有限公司 Monitoring and early warning notification method and system for risk event

Also Published As

Publication number Publication date
CN118586631A (en) 2024-09-03

Similar Documents

Publication Publication Date Title
CN112053130A (en) Pumped storage power station integrated management method, platform, system, equipment and medium
CN103714185A (en) Subject event updating method base and urban multi-source time-space information parallel updating method
CN109951363A (en) Data processing method, apparatus and system
CN118313181B (en) Historical building protection condition assessment method for historical cultural block
CN117952485B (en) Community emergency method, device and medium based on digital twinning
CN108431793A (en) Flow point analysis application is generated using vocabulary
CN116453056A (en) Target detection model construction method and transformer substation foreign matter intrusion detection method
CN112069580A (en) Digital delivery method, platform, system, equipment and medium for pumped storage power station
CN115619245A (en) Portrait construction and classification method and system based on data dimension reduction method
CN119479064B (en) A mine worker violation target detection method, system, device and storage medium
CN119831362A (en) Knowledge graph-based power grid transmission line construction scheme planning method and system
JP2002543497A (en) System and method for generating a decision tree
CN108492367A (en) A kind of wind power plant methods of exhibiting and wind power plant display systems
CN116524428A (en) Electric power operation safety risk identification method based on target detection and scene fusion
CN117094660A (en) Construction monitoring method and system based on digital twin technology
CN118586631B (en) A device management method and system for smart fire protection
CN111860187A (en) High-precision worn mask identification method and system
CN115964542A (en) Space-time big data mining method based on multi-view algorithm
CN113743725B (en) Climbing qualification detection method and system for climbing workers based on edge computing
CN118921413B (en) A method for identifying optical module communication protocol based on communication protocol conversion
CN119229375A (en) Behavior feature recognition method, behavior feature recognition device, server and storage medium
CN107277095A (en) session dividing method and device
CN119067459A (en) A Transformer-based engineering construction risk prediction method and system
CN114743332A (en) Perception early warning method and device for intelligent fire fighting, storage medium and terminal
CN114077858B (en) Vector data processing method, device, equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant