CN115985069A - Automatic fire alarm equipment management system and method - Google Patents
Automatic fire alarm equipment management system and method Download PDFInfo
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Abstract
The invention relates to the technical field of fire control management, and particularly discloses an automatic fire control alarm equipment management system and method, wherein the method comprises the steps of reading a preset number of monitoring data under a preset period condition; analyzing the read monitoring data, and determining a cargo change area and a change curve thereof; counting all goods change areas and change curves thereof, and determining simulation parameters according to the goods change areas and the change curves thereof; acquiring response data of the defense equipment under the simulation parameters, and generating an equipment analysis report according to the response data; the invention determines the cargo change area according to the monitoring data, determines the simulation parameter of the fire-fighting problem according to the change condition of the cargo change area, determines the input data of the fire-fighting equipment through the simulation parameter to be used as the test data, obtains the response data of the fire-fighting equipment in real time, performs equipment analysis on the fire-fighting alarm equipment according to the response data to obtain an analysis report, and constantly ensures that the fire-fighting equipment is in a normal working state.
Description
Technical Field
The invention relates to the technical field of fire fighting management, in particular to an automatic fire fighting alarm equipment management system and method.
Background
The fire alarm device is also an automatic fire alarm electrical device, and common fire alarm devices generally comprise various fire detectors, manual alarm buttons, fire hydrant pump-starting buttons, alarms, field execution modules and the like. All these devices are connected to the fire alarm host to perform centralized monitoring and control.
Under the existing management system, the management requirements and the like are very perfect, the application frequency of the fire alarm equipment is extremely low, and the fire alarm equipment is probably not used for several years continuously.
Disclosure of Invention
The invention aims to provide an automatic fire alarm equipment management system and method which can intelligently detect fire alarm equipment and is convenient to use.
In order to achieve the purpose, the invention provides the following technical scheme:
an automatic fire alarm device management method, the method comprising:
establishing a connection channel with a monitoring system, and reading a preset number of monitoring data under a preset period condition;
analyzing the read monitoring data, and determining a cargo change area and a change curve thereof;
counting all goods change areas and change curves thereof, and determining simulation parameters according to the goods change areas and the change curves thereof; the simulation parameters are used for simulating a fire-fighting problem;
and acquiring response data of the defense device under the simulation parameters, and generating a device analysis report according to the response data.
The following is the further optimization of the technical scheme of the invention:
the step of analyzing the read monitoring data and determining the goods change area and the change curve thereof comprises the following steps:
reading and splicing the monitoring data according to the time information to obtain a management area map;
inquiring a preset filter according to the time information, and adjusting the hue of the map of the management area according to the filter;
carrying out color value normalization processing on the management area map after the hue adjustment according to a preset color value range;
and determining a cargo change area and a change curve thereof based on the management area map after the color value normalization processing.
Further optimization: the step of determining the cargo change area and the change curve thereof based on the management area map after the color value normalization processing comprises the following steps:
sequentially inputting the maps of the management areas after normalization processing of the adjacent color values into the trained characteristic value extraction model to obtain the map characteristic values;
calculating the difference rate of the map characteristic values, and screening the management area map according to the difference rate;
performing logical operation on the screened adjacent management area maps to determine a change area;
inputting the change area into the characteristic value extraction model to obtain a corresponding area characteristic value;
and generating a change curve according to the region characteristic value, and selecting a cargo change region in the change region according to the change curve.
Further optimization: the step of generating a change curve according to the region characteristic value and selecting a cargo change region in the change region according to the change curve comprises the following steps:
segmenting the change curve according to the period condition to obtain a curve segment;
analyzing each curve section based on the same curve analysis model to obtain curve characteristics; the curve characteristic is an array and is used for representing the periodicity of the cargo change;
and comparing the curve characteristics with preset characteristic conditions, and selecting a cargo change area.
And (4) further optimizing: the step of counting all the cargo change areas and the change curves thereof and determining the simulation parameters according to the cargo change areas and the change curves thereof comprises the following steps:
counting all goods change areas, and reading change curves corresponding to the goods change areas;
carrying out derivative calculation on the change curves to obtain derivative curves of preset orders, and determining the fluctuation characteristics of each change curve according to the derivative curves;
determining demand simulation parameters corresponding to the cargo change area according to the fluctuation characteristics;
and inquiring the position of the cargo change area, and counting the demand simulation parameters according to the position to obtain a simulation parameter matrix.
Further optimization: the step of acquiring response data of the defense device under the simulation parameters and generating a device analysis report according to the response data comprises the following steps:
reading a simulation parameter matrix, and determining input data of each fire fighting device according to the simulation parameter matrix;
reading response data of the fire fighting equipment, and sequencing the response data according to the generation time of the response data to obtain a response table; the response table contains a serial number item, an equipment number item and a response data item;
inputting the response table into a preset simulation model to obtain an emergency parameter matrix; the emergency parameter matrix is used for representing the influence of the fire fighting equipment on each cargo change area;
and comparing the emergency parameter matrix with the simulation parameter matrix, and generating an equipment analysis report according to a comparison result.
The invention also provides an automatic fire alarm equipment management system, which comprises:
the monitoring data reading module is used for establishing a connection channel between the monitoring data and the monitoring system and reading a preset number of monitoring data under a preset period condition;
the monitoring data analysis module is used for analyzing the read monitoring data and determining a cargo change area and a change curve thereof;
the simulation parameter determining module is used for counting all the cargo change areas and the change curves thereof and determining simulation parameters according to the cargo change areas and the change curves thereof; the simulation parameters are used for simulating fire-fighting problems;
and the analysis report generation module is used for acquiring response data of the defense equipment under the simulation parameters and generating an equipment analysis report according to the response data.
The following is a further optimization of the above technical solution of the present invention:
the monitoring data analysis module comprises:
the map generation unit is used for reading and splicing the monitoring data according to the time information to obtain a management area map;
the map adjusting unit is used for inquiring a preset filter according to the time information and adjusting the hue of the map of the management area according to the filter;
the normalizing processing unit is used for carrying out color value normalization processing on the management area map after the hue adjustment according to a preset color value range;
and the regional change analysis unit is used for determining the cargo change region and the change curve thereof based on the management region map after color value normalization processing.
And (4) further optimizing: the region variation analyzing unit includes:
the first extraction subunit is used for sequentially inputting the maps of the management areas after the normalization processing of the adjacent color values into the trained characteristic value extraction model to obtain the map characteristic values;
the screening subunit is used for calculating the difference rate of the map characteristic values and screening the management area map according to the difference rate;
the logical operation subunit is used for carrying out logical operation on the screened adjacent management area maps to determine a change area;
the second extraction subunit is used for inputting the change area into the characteristic value extraction model to obtain a corresponding area characteristic value;
and the selecting subunit is used for generating a change curve according to the area characteristic value and selecting the cargo change area in the change area according to the change curve.
Further optimization: the simulation parameter determination module comprises:
the data reading unit is used for counting all the goods change areas and reading the change curves corresponding to the goods change areas;
the fluctuation analysis unit is used for carrying out derivative calculation on the change curves to obtain derivative curves with preset orders, and determining the fluctuation characteristics of each change curve according to the derivative curves;
the demand determining unit is used for determining demand simulation parameters corresponding to the cargo change area according to the fluctuation characteristics;
and the query statistical unit is used for querying the position of the cargo change area and counting the demand simulation parameters according to the position to obtain a simulation parameter matrix.
By adopting the technical scheme, the invention has ingenious concept, can determine the cargo change area according to the monitoring data, determine the simulation parameters of the fire-fighting problem according to the change condition of the cargo change area, determine the input data of the fire-fighting equipment through the simulation parameters to be used as test data, acquire the response data of the fire-fighting equipment in real time, perform equipment analysis on the fire-fighting alarm equipment according to the response data to obtain an analysis report, and constantly ensure that the fire-fighting equipment is in a normal working state.
The invention is further illustrated with reference to the following figures and examples.
Drawings
FIG. 1 is a block flow diagram of an automatic fire alarm management method of the present invention;
FIG. 2 is a first sub-flow block diagram of the method of automatic fire alarm management of the present invention;
FIG. 3 is a second sub-flow block diagram of the method of automatic fire alarm management of the present invention;
FIG. 4 is a third sub-flow block diagram of the method of automatic fire alarm management of the present invention;
fig. 5 is a block diagram of the construction of the automatic fire alarm management system of the present invention.
Detailed Description
As shown in fig. 1, fig. 1 is a flow chart of an automatic fire alarm apparatus management method, and an automatic fire alarm apparatus management method includes:
step S100: establishing a connection channel with a monitoring system, and reading a preset number of monitoring data under a preset period condition;
the areas where automatic fire-fighting alarm devices are installed are mostly provided with monitoring systems, such as workshops; the monitoring system is an information acquisition system consisting of cameras, establishes a connection channel with the monitoring system and can acquire monitoring data.
The acquisition process of the monitoring data takes a preset period as a reference, and the monitoring data are classified according to the period; the period is typically one day; the number of classes of the data classification is also a preset value.
Step S200: analyzing the read monitoring data, and determining a cargo change area and a change curve thereof;
the read monitoring data are analyzed, which areas have large changes can be determined, the areas with the large changes are called goods change areas, and in the generation process of the goods change areas, change curves of the goods change areas can be determined according to analysis results of the monitoring data.
Step S300: counting all goods change areas and change curves thereof, and determining simulation parameters according to the goods change areas and the change curves thereof; the simulation parameters are used for simulating fire-fighting problems;
the goods change area and the change curve thereof represent the change position and the change degree in the workshop, some simulation parameters can be determined according to the change position and the change degree, the simulation parameters simulate fire problems such as fire, the fire alarm equipment is detected according to simulated data, and the fire alarm equipment is constantly ensured to be in a normal working state.
Step S400: acquiring response data of the fire fighting equipment under the simulation parameters, and generating an equipment analysis report according to the response data;
response data of the fire fighting equipment under the simulation parameters are obtained, the response data are analyzed, the running state of the fire fighting alarm equipment can be obtained, and an equipment analysis report is displayed; and in subsequent work, the staff can determine the equipment maintenance plan according to the equipment analysis report.
Fig. 2 is a first sub-flow block diagram of the method for managing an automatic fire alarm device, wherein the step of analyzing the read monitoring data and determining the cargo change area and the cargo change curve thereof comprises the following steps:
step S201: reading and splicing the monitoring data according to the time information to obtain a management area map;
reading monitoring data near the same moment according to the time information, and splicing the monitoring data according to the monitoring area of the monitoring data to obtain a management area map; wherein the monitoring data generally refers to a monitoring video.
Step S202: inquiring a preset filter according to the time information, and adjusting the hue of the map of the management area according to the filter;
the illumination intensity at different moments is different, and the environmental influence degree on the monitoring data is also different, so that some filters are preset according to the time information, the management area map is processed by the filters, and the environmental influence can be eliminated.
Step S203: carrying out color value normalization processing on the management area map after the hue adjustment according to a preset color value range;
the color values of the pixel points in the management area map are very complicated, the data volume of the management area map is large, and analysis is inconvenient, so that the color values need to be simplified, similar color values are replaced by the same color values, and the process is the color value normalization processing process in the content.
Step S204: determining a cargo change area and a change curve thereof based on the management area map after color value normalization processing;
and analyzing and identifying the management area map after the color value normalization processing, namely determining a cargo change area and recording the cargo change degree of the cargo change area, wherein the cargo change degree is represented in a change curve form.
As a preferred embodiment of the technical solution of the present invention, the step of determining the cargo change area and the change curve thereof based on the management area map after the color value normalization processing includes:
sequentially inputting the maps of the management areas after normalization processing of the adjacent color values into the trained characteristic value extraction model to obtain the map characteristic values;
for the management area map after color value normalization processing, the data volume is simplified and is very small, and the data volume is input into a trained characteristic value extraction model to obtain a numerical value corresponding to the management area map; this value may take the form of an average value determined collectively by the color values of all pixels, for example.
Calculating the difference rate of the map characteristic values, and screening the management area map according to the difference rate;
the management area maps are arranged according to the time information, after the characteristic value of each management area map is calculated, the management area maps are screened according to the change degree of the characteristic value, and after repeated images (images with small change of the characteristic value) are removed, the number of the management area maps can be optimized.
Performing logical operation on the screened adjacent management area maps to determine a change area;
and performing logical operation on the screened management area map to determine a change area in the management area map.
Inputting the change area into the characteristic value extraction model to obtain a corresponding area characteristic value;
and inputting the determined change area into the characteristic value extraction model in the content to obtain a corresponding area characteristic value.
Generating a change curve according to the region characteristic value, and selecting a cargo change region in the change region according to the change curve;
the characteristic values of the regions are counted to obtain a change curve, the change curve is analyzed, the change degree of the change regions can be determined, and the cargo change regions can be selected from the change regions according to the change degree of the change regions.
As a preferred embodiment of the technical solution of the present invention, the step of generating a variation curve according to the area characteristic value and selecting a cargo variation area in the variation area according to the variation curve includes:
segmenting the change curve according to the period condition to obtain a curve segment;
analyzing each curve section based on the same curve analysis model to obtain curve characteristics; the curve features are arrays and are used for representing the periodicity of the cargo change;
and comparing the curve characteristics with preset characteristic conditions, and selecting a cargo change area.
The selection process of the goods change area is limited, firstly, a curve is segmented by a period, and a plurality of sections of curve segments can be obtained; the curve segments are then analyzed to obtain curve characteristics, which are used to indicate whether a period characteristic exists between the curve segments.
Finally, selecting a goods change area in the change area according to the curve characteristics; the rule is selected to be that if the periodic characteristics exist, the change area is a fixed cargo storage area, which is also a target control area of the fire alarm device.
Fig. 3 is a second sub-flow block diagram of the method for managing an automatic fire alarm device, wherein the step of counting all cargo change areas and their change curves and determining simulation parameters according to the cargo change areas and their change curves comprises:
step S301: counting all goods change areas, and reading change curves corresponding to the goods change areas;
and counting all goods change areas, and reading corresponding change curves.
Step S302: performing derivative calculation on the change curves to obtain derivative curves with preset orders, and determining the fluctuation characteristics of each change curve according to the derivative curves;
and (3) carrying out multiple derivation on the change curve to obtain a multi-order derivative, obtaining a derivative curve from the multi-order derivative, and judging the volatility of the change curve from the derivative.
Step S303: determining demand simulation parameters corresponding to the cargo change area according to the fluctuation characteristics;
the fluctuation characteristics are analyzed, and the demand simulation parameters of each cargo change area can be determined, wherein the demand simulation parameters represent simulation parameters required by the cargo change area and are preset values, and different fluctuation characteristics correspond to different demand simulation parameters.
Step S304: inquiring the position of the goods change area, and counting demand simulation parameters according to the position to obtain a simulation parameter matrix;
the positions of the cargo change areas are inquired, all the demand simulation parameters are counted, and a simulation parameter matrix can be obtained by combining the positions of the cargo change areas, wherein the simulation parameter matrix can reflect position information.
Fig. 4 is a third sub-flow block diagram of the method for managing an automatic fire alarm device, where the step of acquiring response data of the fire alarm device under simulation parameters and generating a device analysis report according to the response data includes:
step S401: reading a simulation parameter matrix, and determining input data of each fire fighting device according to the simulation parameter matrix;
the input data of each fire fighting device can be determined by a simulation parameter matrix capable of reflecting the position information, and the input data is used for simulating different fire fighting problems.
Step S402: reading response data of the fire fighting equipment, and sequencing the response data according to the generation time of the response data to obtain a response table; the response table contains a serial number item, an equipment number item and a response data item;
response data of the fire fighting equipment under the input data is obtained, and the response condition of the fire fighting equipment to the simulated fire fighting problem can be obtained.
Step S403: inputting the response table into a preset simulation model to obtain an emergency parameter matrix; the emergency parameter matrix is used for representing the influence of the fire fighting equipment on each cargo change area;
step S404: and comparing the emergency parameter matrix with the simulation parameter matrix, and generating an equipment analysis report according to a comparison result.
Determining the influence of the fire fighting equipment on the area according to the response condition of the fire fighting equipment, and judging whether the influence can solve the fire fighting problem; in a common way, assuming that the fire is negative, the determined simulation parameter matrix represents the negative influence, and at the moment, the fire-fighting problem responds, so that a positive influence can be obtained through the response; and comparing the positive influence with the negative influence to obtain a detection result of the fire fighting equipment.
Example 2
Fig. 5 is a block diagram of a structure of an automatic fire alarm management system, and the present invention further provides an automatic fire alarm management system, where the system 10 includes:
the monitoring data reading module 11 is configured to establish a connection channel between the monitoring data and the monitoring system, and read a preset number of monitoring data under a preset period condition;
the monitoring data analysis module 12 is used for analyzing the read monitoring data and determining a cargo change area and a change curve thereof;
the simulation parameter determining module 13 is used for counting all the cargo change areas and the change curves thereof and determining simulation parameters according to the cargo change areas and the change curves thereof; the simulation parameters are used for simulating fire-fighting problems;
and the analysis report generation module 14 is configured to obtain response data of the defense apparatus under the simulation parameters, and generate an apparatus analysis report according to the response data.
The monitoring data analysis module 12 includes:
the map generation unit is used for reading and splicing the monitoring data according to the time information to obtain a management area map;
the map adjusting unit is used for inquiring a preset filter according to the time information and adjusting the hue of the map of the management area according to the filter;
the normalization processing unit is used for carrying out color value normalization processing on the management area map after the color adjustment according to a preset color value range;
and the regional change analysis unit is used for determining the cargo change region and the change curve thereof based on the management region map after color value normalization processing.
Wherein the region variation analyzing unit includes:
the first extraction subunit is used for sequentially inputting the maps of the management areas after the normalization processing of the adjacent color values into the trained characteristic value extraction model to obtain the map characteristic values;
the screening subunit is used for calculating the difference rate of the map characteristic values and screening the management area map according to the difference rate;
the logical operation subunit is used for performing logical operation on the screened adjacent management area maps to determine a change area;
the second extraction subunit is used for inputting the change area into the characteristic value extraction model to obtain a corresponding area characteristic value;
and the selecting subunit is used for generating a change curve according to the area characteristic value and selecting a cargo change area in the change area according to the change curve.
The simulation parameter determination module 13 includes:
the data reading unit is used for counting all the goods change areas and reading the change curves corresponding to the goods change areas;
the fluctuation analysis unit is used for carrying out derivative calculation on the change curves to obtain derivative curves with preset orders, and determining the fluctuation characteristics of each change curve according to the derivative curves;
the demand determining unit is used for determining demand simulation parameters corresponding to the cargo change area according to the fluctuation characteristics;
and the query statistical unit is used for querying the position of the cargo change area and counting the demand simulation parameters according to the position to obtain a simulation parameter matrix.
The functions of the automatic fire alarm management method can be realized by a computer device, the computer device comprises one or more processors and one or more memories, and at least one program code is stored in the one or more memories and is loaded and executed by the one or more processors to realize the functions of the automatic fire alarm management method.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) which is used for storing computer programs, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth status display system (such as product information acquisition templates corresponding to different product categories, product information that needs to be issued by different product providers, and the like). In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one of 8230, and" comprising 8230does not exclude the presence of additional like elements in a process, method, article, or apparatus comprising the element.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (10)
1. An automatic fire alarm device management method, the method comprising:
establishing a connection channel with a monitoring system, and reading a preset number of monitoring data under a preset period condition;
analyzing the read monitoring data, and determining a cargo change area and a change curve thereof;
counting all goods change areas and change curves thereof, and determining simulation parameters according to the goods change areas and the change curves thereof; the simulation parameters are used for simulating a fire-fighting problem;
and acquiring response data of the defense device under the simulation parameters, and generating a device analysis report according to the response data.
2. The method as claimed in claim 1, wherein the step of analyzing the read monitoring data and determining the cargo change area and the change curve thereof comprises:
reading and splicing the monitoring data according to the time information to obtain a management area map;
inquiring a preset filter according to the time information, and adjusting the hue of the map of the management area according to the filter;
carrying out color value normalization processing on the management area map after the hue adjustment according to a preset color value range;
and determining a cargo change area and a change curve thereof based on the management area map after the color value normalization processing.
3. The automatic fire alarm management method of claim 2, wherein the step of determining the cargo change area and the change curve thereof based on the management area map after the color value normalization processing comprises:
sequentially inputting the maps of the management areas after normalization processing of the adjacent color values into the trained characteristic value extraction model to obtain the map characteristic values;
calculating the difference rate of the map characteristic values, and screening the management area map according to the difference rate;
performing logical operation on the screened adjacent management area maps to determine a change area;
inputting the change area into the characteristic value extraction model to obtain a corresponding area characteristic value;
and generating a change curve according to the region characteristic value, and selecting a cargo change region in the change region according to the change curve.
4. The method as claimed in claim 3, wherein the step of generating a variation curve according to the area characteristic value and selecting a cargo variation area in the variation area according to the variation curve comprises:
segmenting the change curve according to the periodic condition to obtain a curve segment;
analyzing each curve section based on the same curve analysis model to obtain curve characteristics; the curve features are arrays and are used for representing the periodicity of the cargo change;
and comparing the curve characteristics with preset characteristic conditions, and selecting a cargo change area.
5. The method of claim 4, wherein the step of counting all cargo change areas and their change curves and determining simulation parameters based on the cargo change areas and their change curves comprises:
counting all goods change areas, and reading change curves corresponding to the goods change areas;
carrying out derivative calculation on the change curves to obtain derivative curves of preset orders, and determining the fluctuation characteristics of each change curve according to the derivative curves;
determining demand simulation parameters corresponding to the goods change area according to the fluctuation characteristics;
and inquiring the position of the cargo change area, and counting the demand simulation parameters according to the position to obtain a simulation parameter matrix.
6. The method of claim 5, wherein the step of obtaining response data of fire fighting equipment under simulation parameters and generating equipment analysis reports based on the response data comprises:
reading a simulation parameter matrix, and determining input data of each fire fighting device according to the simulation parameter matrix;
reading response data of the fire fighting equipment, and sequencing the response data according to the generation time of the response data to obtain a response table; the response table comprises a serial number item, an equipment serial number item and a response data item;
inputting the response table into a preset simulation model to obtain an emergency parameter matrix; the emergency parameter matrix is used for representing the influence of the fire fighting equipment on each cargo change area;
and comparing the emergency parameter matrix with the simulation parameter matrix, and generating an equipment analysis report according to the comparison result.
7. An automatic fire alarm device management system, the system comprising:
the monitoring data reading module is used for establishing a connection channel between the monitoring data and the monitoring system and reading a preset number of monitoring data under a preset period condition;
the monitoring data analysis module is used for analyzing the read monitoring data and determining a cargo change area and a change curve thereof;
the simulation parameter determining module is used for counting all the cargo change areas and the change curves thereof and determining simulation parameters according to the cargo change areas and the change curves thereof; the simulation parameters are used for simulating fire-fighting problems;
and the analysis report generation module is used for acquiring response data of the defense equipment under the simulation parameters and generating an equipment analysis report according to the response data.
8. An automatic fire alarm management system according to claim 7, wherein said monitoring data analysis module comprises:
the map generation unit is used for reading and splicing the monitoring data according to the time information to obtain a management area map;
the map adjusting unit is used for inquiring a preset filter according to the time information and adjusting the hue of the map of the management area according to the filter;
the normalizing processing unit is used for carrying out color value normalization processing on the management area map after the hue adjustment according to a preset color value range;
and the regional change analysis unit is used for determining the cargo change region and the change curve thereof based on the management region map after color value normalization processing.
9. An automatic fire alarm management system according to claim 8, wherein the area change analyzing unit comprises:
the first extraction subunit is used for sequentially inputting the maps of the management areas after the normalization processing of the adjacent color values into the trained characteristic value extraction model to obtain the map characteristic values;
the screening subunit is used for calculating the difference rate of the map characteristic values and screening the map of the management area according to the difference rate;
the logical operation subunit is used for carrying out logical operation on the screened adjacent management area maps to determine a change area;
the second extraction subunit is used for inputting the change area into the characteristic value extraction model to obtain a corresponding area characteristic value;
and the selecting subunit is used for generating a change curve according to the area characteristic value and selecting a cargo change area in the change area according to the change curve.
10. An automatic fire alarm management system according to claim 9, wherein said simulation parameter determination module comprises:
the data reading unit is used for counting all the goods change areas and reading the change curves corresponding to the goods change areas;
the fluctuation analysis unit is used for carrying out derivative calculation on the change curves to obtain derivative curves with preset orders, and determining the fluctuation characteristics of each change curve according to the derivative curves;
the demand determining unit is used for determining demand simulation parameters corresponding to the cargo change area according to the fluctuation characteristics;
and the query statistical unit is used for querying the position of the cargo change area and counting the demand simulation parameters according to the position to obtain a simulation parameter matrix.
Priority Applications (1)
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| DE102012003190A1 (en) * | 2012-02-17 | 2013-08-22 | Petra Kenter | Device for testing sensor, particularly fire alarm equipments in buildings, has aircraft which is capable for floating flight, and unit that is provided for initiating and activating sensor, where aircraft is helicopter that is quadrocopter |
| CN204989430U (en) * | 2015-06-04 | 2016-01-20 | 何天生 | Power monitoring system for firefighting device |
| TWM540352U (en) * | 2015-08-31 | 2017-04-21 | Geeng-Jen Sheu | In-building fire protection equipment monitoring system |
| CN109118580A (en) * | 2018-08-15 | 2019-01-01 | 深圳市烽焌信息科技有限公司 | Target goods heap monitoring method and relevant apparatus |
| CN109655835A (en) * | 2018-10-15 | 2019-04-19 | 浙江天地人科技有限公司 | A kind of detection method and device of channel environment variation |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102012003190A1 (en) * | 2012-02-17 | 2013-08-22 | Petra Kenter | Device for testing sensor, particularly fire alarm equipments in buildings, has aircraft which is capable for floating flight, and unit that is provided for initiating and activating sensor, where aircraft is helicopter that is quadrocopter |
| CN204989430U (en) * | 2015-06-04 | 2016-01-20 | 何天生 | Power monitoring system for firefighting device |
| TWM540352U (en) * | 2015-08-31 | 2017-04-21 | Geeng-Jen Sheu | In-building fire protection equipment monitoring system |
| CN109118580A (en) * | 2018-08-15 | 2019-01-01 | 深圳市烽焌信息科技有限公司 | Target goods heap monitoring method and relevant apparatus |
| CN109655835A (en) * | 2018-10-15 | 2019-04-19 | 浙江天地人科技有限公司 | A kind of detection method and device of channel environment variation |
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| CN115985069B (en) | 2023-07-04 |
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