CN110728414A - Fire safety assessment method and device based on Internet of things, computer equipment and storage medium - Google Patents
Fire safety assessment method and device based on Internet of things, computer equipment and storage medium Download PDFInfo
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Abstract
The invention is suitable for the field of Internet of things, and provides a fire safety assessment method, a fire safety assessment device, computer equipment and a storage medium based on the Internet of things, which are applied to an Internet of things terminal, wherein the method comprises the following steps: acquiring data of front-end fire-fighting equipment; according to a preset evaluation algorithm, comparing the fire fighting equipment data with an extracted legal and legal regulation database to generate a comparison result; calculating the comparison result according to a preset calculation formula to generate an evaluation score; and displaying the evaluation achievement. In the embodiment of the invention, the unit fire safety is evaluated and analyzed by the fire safety evaluation method based on the Internet of things, artificial sensory judgment is not relied any more, the unit fire safety condition is reflected more truly, the problem of counterfeiting is avoided, a fire supervision department can master the real state of the unit fire safety, and emergency preventive measures are made in time; meanwhile, related fire-fighting responsible persons can also master the state, the workload, the working state and the like of the fire-fighting equipment of the unit in real time, so that the fire-fighting safety management is facilitated.
Description
Technical Field
The invention belongs to the field of Internet of things, and particularly relates to a fire safety assessment method and device based on the Internet of things, computer equipment and a storage medium.
Background
The fire safety assessment refers to a service activity provided by a fire safety assessment organization, and particularly relates to the assessment of the fire comprehensive conditions of organizations such as social units, places, industrial and mining enterprises and the like. And aiming at the evaluation result, providing a service activity of solving measures according to fire-fighting laws and regulations and technical specifications.
The traditional fire safety assessment analysis needs to be carried out by a unit with fire safety assessment qualification, on-site investigation and evidence collection are adopted, and finally a written report is formed, but the fire safety assessment method inevitably causes a fake phenomenon and cannot truly reflect the fire safety state of the unit, and the recent fire occurrence condition can be seen, so that a plurality of fire units all obtain higher scores in the fire safety assessment, which indicates that the fire safety assessment of the unit does not play a real role, a fire supervision department cannot master the fire safety real state of the unit, and emergency preventive measures cannot be formulated.
Disclosure of Invention
The embodiment of the invention provides a fire safety assessment method based on the Internet of things. The method aims to solve the problems that the existing fire safety assessment method relying on artificial sensory judgment cannot truly reflect the unit fire safety state, and the unit and fire monitoring department cannot grasp the real state of the unit fire safety in real time.
The embodiment of the invention provides a fire safety assessment method based on the Internet of things, which is applied to a terminal of the Internet of things and comprises the following steps:
acquiring data of front-end fire-fighting equipment;
according to a preset evaluation algorithm, comparing the fire fighting equipment data with an extracted legal and legal regulation database to generate a comparison result;
calculating the comparison result according to a preset calculation formula to generate an evaluation score;
and displaying the evaluation achievement.
The embodiment of the invention provides a fire safety assessment device based on the Internet of things, which comprises:
the data acquisition unit is used for acquiring data of the front-end fire fighting equipment;
the data processing unit is used for comparing the fire fighting equipment data with the extracted legal and legal rules database according to a preset evaluation algorithm to generate a comparison result;
the evaluation unit is used for calculating the comparison result according to a preset calculation formula to generate an evaluation score;
and the display unit is used for displaying the evaluation achievement.
A computer device comprising a processor for executing a computer program stored in a memory to implement the steps of the method according to any one of claims 1 to 5.
A computer-readable storage medium, on which a computer program (instructions) is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1-5.
In conclusion, the Internet of things-based fire safety assessment method is used for realizing Internet of things cloud computing, analyzing the fire safety of a unit and establishing a data model to generate a fire safety assessment result, artificial sensory judgment is not relied on, the fire safety condition of the unit is reflected more truly, the problem of counterfeiting is avoided, a fire supervision department can master the real fire safety state of the unit, and emergency preventive measures are made in time; meanwhile, related fire-fighting responsible persons can also master the state, the workload, the working state and the like of the fire-fighting equipment of the unit in real time, so that the fire-fighting safety management is facilitated.
Drawings
Fig. 1 is a flowchart of a fire safety assessment method based on the internet of things according to an embodiment of the present invention;
fig. 2 is a flowchart of another fire safety assessment method based on the internet of things according to an embodiment of the present invention;
fig. 3 is a flowchart of another fire safety assessment method based on the internet of things according to an embodiment of the present invention;
fig. 4 is a flowchart of another fire safety assessment method based on the internet of things according to an embodiment of the present invention;
fig. 5 is a block diagram of a fire safety assessment device based on the internet of things according to an embodiment of the present invention;
fig. 6 is a block diagram of a fire safety assessment device based on the internet of things according to an embodiment of the present invention.
Fig. 7 is a block diagram of a fire safety assessment device based on the internet of things according to an embodiment of the present invention.
Fig. 8 is a block diagram of a fire safety assessment device based on the internet of things according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention is applied to the terminal of the Internet of things, which is terminal equipment with peripheral sensing (sensing) interfaces and data storage and processing capabilities, such as an industrial control computer and the like.
Fig. 1 shows a flowchart of a fire safety assessment method based on the internet of things, which is applied to an internet of things terminal, and specifically includes the following steps:
and S101, acquiring data of the front-end fire fighting equipment.
Acquiring fire fighting equipment data related to fire fighting evaluation of the unit, wherein the fire fighting equipment data comprises but is not limited to Internet of things equipment data, personnel operation data, hidden danger processing data, basic information maintenance data and the like.
Preferably, the data of the internet of things equipment comprise real-time data such as unit power consumption, fire water, fixed fire-fighting facility states, fire safety of key parts, independent smoke sensation, gas monitoring and the like.
Preferably, the basic information maintenance data includes unit basic information, fire-fighting plan, fire-fighting legal documents, fire-fighting plans and drills, fire-fighting training, rules and regulations and other data.
Preferably, the personnel daily operation data comprises daily login records of unit personnel, patrol inspection plan making, patrol inspection task execution and other data.
Preferably, the hidden danger processing data include data such as whether disposal, hidden danger processing records, hidden danger distribution and rectification processes are carried out after alarm of each item of internet of things equipment.
And S102, comparing the fire fighting equipment data with the extracted legal and legal regulation database according to a preset evaluation algorithm to generate a comparison result.
In the embodiment of the invention, the reference value of the fire fighting relevant laws and regulations is implanted into the database of the preset evaluation algorithm in advance, then the fire fighting equipment data and the reference value of the laws and regulations are comprehensively compared according to the preset evaluation algorithm, and the compared result is output in a preset form, for example, the compared result can be output in the form of codes of 0 and 1, 0 represents non-conformity, 1 represents conformity, and finally the whole result is calculated and integrated.
In the embodiment of the invention, the data of the fire fighting equipment needs to be classified, and different types of data need to be compared with different legal and legal reference values, so that the obtained result is accurate.
And step S103, calculating the comparison result according to a preset calculation formula to generate an evaluation result.
In the embodiment of the present invention, a calculation formula is preset, and the formula may be:
evaluation score being actual value of indicator/reference value of indicator
Integrated fraction ═ Σ (individual index × weight of the index)/∑ (weight of each index)
The above formula meter can be adjusted according to the actual operation state and data condition of each unit device, and is not limited here.
And after a calculation formula is set, embedding the comparison result into the calculation formula for calculation to generate an evaluation result.
And step S104, displaying the evaluation achievement.
In the embodiment of the invention, the evaluation score is calculated and then displayed according to a preset mode, so that fire management personnel and fire monitoring departments can master the real fire safety state of a unit in real time and make emergency preventive measures in advance.
Preferably, the calculated assessment results are displayed as the unit fire safety assessment results, for example, the assessment results can be divided into A, B, C three levels, wherein the score is A at 80 points or more, B at 60-80 points and C at 60 points or less.
Preferably, the calculated assessment result is displayed as a fire safety assessment result of the personnel, the personnel in the unit are assessed, the patrol inspection result is compared with the fire hazard occurrence result which is a disposal result, the assessment result of the personnel in the unit is finally set, and the personnel in charge of the unit can master the workload and the working state of the personnel in the unit in real time.
Preferably, the calculated assessment result is displayed as a regional safety assessment result, all unit data in the region are combined for summarizing, and the proportion of fire hazard high-risk units, key units and general units is different, so that a regional fire safety situation analysis result is formed.
In conclusion, the Internet of things-based fire safety assessment method is used for realizing Internet of things cloud computing, analyzing the fire safety of a unit and establishing a data model to generate a fire safety assessment result, artificial sensory judgment is not relied on, the fire safety condition of the unit is reflected more truly, the problem of counterfeiting is avoided, a fire supervision department can master the real fire safety state of the unit, and emergency preventive measures are made in time; meanwhile, related fire-fighting responsible persons can also master the state, the workload, the working state and the like of the fire-fighting equipment of the unit in real time, so that the fire-fighting safety management is facilitated.
Fig. 2 shows a flowchart of another method for evaluating fire safety based on the internet of things, which is applicable to the embodiment of the present invention, and compared with fig. 1, steps S201, S202, and S203 are added after step S101, specifically as follows:
step S201, setting an abnormal data analysis mechanism in the evaluation algorithm.
In the embodiment of the invention, in consideration of errors or human errors of the data acquisition device, part of abnormal data which can influence the evaluation result may exist in the acquired fire fighting equipment data, so an abnormal data analysis mechanism is preset in the evaluation algorithm and is used for processing the abnormal data.
And S202, judging whether abnormal data exist in the fire fighting equipment data or not according to the abnormal data analysis mechanism.
In the embodiment of the invention, the abnormal data analysis mechanism can judge whether abnormal data exist in the fire-fighting equipment data, all the acquired fire-fighting equipment data need to be analyzed by the abnormal data analysis mechanism, and abnormal data and normal data are screened out, for example, when a patrol officer introduces the gas pressure recorded value of a certain gas cylinder in 3 months into the system, the gas pressure value of the gas cylinder in 3 months and 5 days is 0.02MPa, the rest dates are 0.2MPa, and obviously, the value of 0.02MPa is possibly an error when the patrol officer records or introduces the gas cylinder into the system, but not the actual gas pressure value of the gas cylinder, the value of 0.02MPa is analyzed by the abnormal data analysis mechanism and is defined as abnormal data.
And S203, deleting abnormal data when judging that the abnormal data exist in the fire fighting equipment data.
And analyzing all the data of the fire fighting equipment by using an abnormal data analysis mechanism, and deleting the abnormal data when the abnormal data is analyzed so as to prevent the abnormal data from influencing an evaluation result.
Preferably, when the abnormal data analysis mechanism analyzes the abnormal data, the abnormal data is marked, and related personnel are reminded to confirm deletion or carry out the next operation, so that data is prevented from being deleted by mistake due to system problems.
An abnormal data analysis mechanism is arranged in the evaluation analysis algorithm, all fire fighting equipment data can be analyzed, abnormal values which can influence equipment state judgment are screened out and deleted, all data are real and reliable, and the influence of the abnormal data on a final evaluation result is avoided.
Fig. 3 shows a flowchart of another fire safety assessment method based on internet of things, which is applicable to the embodiment of the present invention, and the method further includes:
step S301, comparing the fire fighting equipment data with historical data to generate a historical data comparison result.
The acquired fire fighting equipment data can also be compared with historical data, the compared data are fire fighting equipment data of the same type or the same fire fighting equipment data, a historical data comparison result is generated by comparing the fire fighting equipment data with the historical data, and the historical data comparison result comprises a comparison result or a ring comparison result.
Step S302, adjusting the evaluation result according to the historical data comparison result.
And taking the historical data comparison result as an evaluation parameter, and correspondingly adjusting the evaluation result to obtain a more appropriate evaluation result, for example, if the unit current data is higher than the ring ratio/the same ratio data, correspondingly adding the score, otherwise, subtracting the score. And if the unit has no historical data, directly entering the next link.
Through comparing with historical data, can be more accurate understanding relevant fire equipment's operational aspect and safe state, know the trend of change of fire equipment in a long period of time, especially to changing slowly problem relatively easily to be found.
Fig. 4 shows a flowchart of another fire safety assessment method based on internet of things, which is applicable to the embodiment of the present invention, and the method further includes:
and step S401, setting the evaluation score weight of the fire fighting equipment data.
In the embodiment of the invention, the evaluation scores comprise operation, maintenance or basic data of various devices, the data of different devices and different types of data play different roles in the whole fire safety evaluation, the evaluation scores of the whole fire protection system can be reflected more accurately by setting different evaluation score weights for different fire protection device data, and the evaluation score weights can be set by users according to different conditions of the fire protection system.
And S402, calculating an evaluation score according to the evaluation score weights of various fire fighting devices.
After the evaluation score weight of the fire fighting equipment is set, the fire fighting equipment evaluation algorithm and the calculation formula calculate an evaluation score according to the evaluation score weight, for example, the evaluation score comes from the internet of things equipment data, basic information maintenance data and personnel daily operation data, and the evaluation score weight ratio can be set to be 5: 1: 4, the importance of the data of the Internet of things equipment can be seen from the evaluation of the score weight ratio.
Through setting the evaluation score weight of the fire fighting equipment, the user can distribute the importance of various fire fighting equipment according to the evaluation score weight, so that the evaluation result is influenced, the optimal evaluation result can be obtained through the appropriate evaluation score weight ratio, and the method and the device can be suitable for different occasions or regions.
Fig. 5 is a block diagram of a fire safety assessment device based on the internet of things, which is applicable to an internet of things terminal, where the terminal is a terminal device with peripheral sensing (sensor) interface, data storage and processing capability, such as an industrial control computer, and the device includes:
and the data acquisition unit 501 is used for acquiring data of the front-end fire fighting equipment.
Acquiring fire fighting equipment data related to fire fighting evaluation of the unit, wherein the fire fighting equipment data comprises but is not limited to Internet of things equipment data, personnel operation data, hidden danger processing data, basic information maintenance data and the like.
Preferably, the data of the internet of things equipment comprise real-time data such as unit power consumption, fire water, fixed fire-fighting facility states, fire safety of key parts, independent smoke sensation, gas monitoring and the like.
Preferably, the basic information maintenance data includes unit basic information, fire-fighting plan, fire-fighting legal documents, fire-fighting plans and drills, fire-fighting training, rules and regulations and other data.
Preferably, the personnel daily operation data comprises daily login records of unit personnel, patrol inspection plan making, patrol inspection task execution and other data.
Preferably, the hidden danger processing data include data such as whether disposal, hidden danger processing records, hidden danger distribution and rectification processes are carried out after alarm of each item of internet of things equipment.
The data processing unit 502 is configured to compare the fire fighting equipment data with the extracted legal and legal regulations database according to a preset evaluation algorithm, and generate a comparison result.
In the embodiment of the invention, the reference value of the fire fighting relevant laws and regulations is implanted into the database of the preset evaluation algorithm in advance, then the fire fighting equipment data and the reference value of the laws and regulations are comprehensively compared according to the preset evaluation algorithm, and the compared result is output in a preset form, for example, the compared result can be output in the form of codes of 0 and 1, 0 represents non-conformity, 1 represents conformity, and finally the whole result is calculated and integrated.
In the embodiment of the invention, the data of the fire fighting equipment needs to be classified, and different types of data need to be compared with different legal and legal reference values, so that the obtained result is accurate.
The evaluation unit 503 is configured to calculate the comparison result according to a preset calculation formula, so as to generate an evaluation result.
In the embodiment of the present invention, a calculation formula is preset, and the formula may be:
evaluation score being actual value of indicator/reference value of indicator
Integrated fraction ═ Σ (individual index × weight of the index)/∑ (weight of each index)
The above formula meter can be adjusted according to the actual operation state and data condition of each unit device, and is not limited here.
And after a calculation formula is set, embedding the comparison result into the calculation formula for calculation to generate an evaluation result.
A display unit 504 for displaying the evaluation achievement.
In the embodiment of the invention, the evaluation score is calculated and then displayed according to a preset mode, so that fire management personnel and fire monitoring departments can master the real fire safety state of a unit in real time and make emergency preventive measures in advance.
Preferably, the calculated assessment results are displayed as the unit fire safety assessment results, for example, the assessment results can be divided into A, B, C three levels, wherein the score is A at 80 points or more, B at 60-80 points and C at 60 points or less.
Preferably, the calculated assessment result is displayed as a fire safety assessment result of the personnel, the personnel in the unit are assessed, the patrol inspection result is compared with the fire hazard occurrence result which is a disposal result, the assessment result of the personnel in the unit is finally set, and the personnel in charge of the unit can master the workload and the working state of the personnel in the unit in real time.
Preferably, the calculated assessment result is displayed as a regional safety assessment result, all unit data in the region are combined for summarizing, and the proportion of fire hazard high-risk units, key units and general units is different, so that a regional fire safety situation analysis result is formed.
In conclusion, the Internet of things-based fire safety assessment method is used for realizing Internet of things cloud computing, analyzing the fire safety of a unit and establishing a data model to generate a fire safety assessment result, artificial sensory judgment is not relied on, the fire safety condition of the unit is reflected more truly, the problem of counterfeiting is avoided, a fire supervision department can master the real fire safety state of the unit, and emergency preventive measures are made in time; meanwhile, related fire-fighting responsible persons can also master the state, the workload, the working state and the like of the fire-fighting equipment of the unit in real time, so that the fire-fighting safety management is facilitated.
Fig. 6 is a block diagram illustrating a fire safety assessment device based on internet of things according to an embodiment of the present invention, which, compared with the fire safety assessment device based on internet of things illustrated in fig. 5, further includes:
an abnormal data analysis unit 601, configured to set an abnormal data analysis mechanism in the evaluation algorithm.
In the embodiment of the invention, in consideration of errors or human errors of the data acquisition device, part of abnormal data which can influence the evaluation result may exist in the acquired fire fighting equipment data, so an abnormal data analysis mechanism is preset in the evaluation algorithm and is used for processing the abnormal data.
An abnormal data determining unit 602, configured to determine whether there is abnormal data in the fire fighting equipment data according to the abnormal data analysis mechanism.
In the embodiment of the invention, the abnormal data analysis mechanism can judge whether abnormal data exist in the fire-fighting equipment data, all the acquired fire-fighting equipment data need to be analyzed by the abnormal data analysis mechanism, and abnormal data and normal data are screened out, for example, when a patrol officer introduces the gas pressure recorded value of a certain gas cylinder in 3 months into the system, the gas pressure value of the gas cylinder in 3 months and 5 days is 0.02MPa, the rest dates are 0.2MPa, and obviously, the value of 0.02MPa is possibly an error when the patrol officer records or introduces the gas cylinder into the system, but not the actual gas pressure value of the gas cylinder, the value of 0.02MPa is analyzed by the abnormal data analysis mechanism and is defined as abnormal data.
An abnormal data cleaning unit 603, configured to delete the abnormal data when it is determined that there is abnormal data in the fire fighting equipment data.
And analyzing all the data of the fire fighting equipment by using an abnormal data analysis mechanism, and deleting the abnormal data when the abnormal data is analyzed so as to prevent the abnormal data from influencing an evaluation result.
Preferably, when the abnormal data analysis mechanism analyzes the abnormal data, the abnormal data is marked, and related personnel are reminded to confirm deletion or carry out the next operation, so that data is prevented from being deleted by mistake due to system problems.
An abnormal data analysis mechanism is arranged in the evaluation analysis algorithm, all fire fighting equipment data can be analyzed, abnormal values which can influence equipment state judgment are screened out and deleted, all data are real and reliable, and the influence of the abnormal data on a final evaluation result is avoided.
Fig. 7 is a block diagram illustrating a fire safety assessment device based on internet of things according to an embodiment of the present invention, which, compared with the fire safety assessment device based on internet of things illustrated in fig. 5, further includes:
and the historical data comparison module 701 is used for comparing the fire fighting equipment data with historical data to generate a historical data comparison result.
The acquired fire fighting equipment data can also be compared with historical data, the compared data are fire fighting equipment data of the same type or the same fire fighting equipment data, a historical data comparison result is generated by comparing the fire fighting equipment data with the historical data, and the historical data comparison result comprises a comparison result or a ring comparison result.
An evaluation module 702, configured to adjust the evaluation result according to the historical data comparison result.
And taking the historical data comparison result as an evaluation parameter, and correspondingly adjusting the evaluation result to obtain a more appropriate evaluation result, for example, if the unit current data is higher than the ring ratio/the same ratio data, correspondingly adding the score, otherwise, subtracting the score. And if the unit has no historical data, directly entering the next link.
Through comparing with historical data, can be more accurate understanding relevant fire equipment's operational aspect and safe state, know the trend of change of fire equipment in a long period of time, especially to changing slowly problem relatively easily to be found.
Fig. 8 is a block diagram illustrating a fire safety assessment device based on internet of things according to an embodiment of the present invention, which, compared with the fire safety assessment device based on internet of things illustrated in fig. 5, further includes:
and a weight setting module 801, configured to set an evaluation score weight of the fire fighting equipment data.
In the embodiment of the invention, the evaluation scores comprise operation, maintenance or basic data of various devices, the data of different devices and different types of data play different roles in the whole fire safety evaluation, the evaluation scores of the whole fire protection system can be reflected more accurately by setting different evaluation score weights for different fire protection device data, and the evaluation score weights can be set by users according to different conditions of the fire protection system.
And the weight evaluation module 802 is configured to calculate an evaluation score according to the evaluation score weights of various fire fighting devices.
After the evaluation score weight of the fire fighting equipment is set, the fire fighting equipment evaluation algorithm and the calculation formula calculate an evaluation score according to the evaluation score weight, for example, the evaluation score comes from the internet of things equipment data, basic information maintenance data and personnel daily operation data, and the evaluation score weight ratio can be set to be 5: 1: 4, the importance of the data of the Internet of things equipment can be seen from the evaluation of the score weight ratio.
Through setting the evaluation score weight of the fire fighting equipment, the user can distribute the importance of various fire fighting equipment according to the evaluation score weight, so that the evaluation result is influenced, the optimal evaluation result can be obtained through the appropriate evaluation score weight ratio, and the method and the device can be suitable for different occasions or regions.
In one embodiment, a computer device is proposed, which comprises a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor implements the steps of any of the methods of the invention.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, causes the processor to perform the steps of any of the methods of the invention.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A fire safety assessment method based on the Internet of things is characterized in that a user Internet of things terminal is used, and the method comprises the following steps:
acquiring data of front-end fire-fighting equipment;
according to a preset evaluation algorithm, comparing the fire fighting equipment data with an extracted legal and legal regulation database to generate a comparison result;
calculating the comparison result according to a preset calculation formula to generate an evaluation score;
and displaying the evaluation achievement.
2. The internet of things-based fire safety assessment method according to claim 1, after the step of obtaining the front-end fire fighting equipment data, further comprising:
setting an abnormal data analysis mechanism in the evaluation algorithm;
judging whether abnormal data exist in the fire fighting equipment data or not according to the abnormal data analysis mechanism;
and deleting the abnormal data when judging that the abnormal data exists in the fire fighting equipment data.
3. The fire safety assessment method based on the internet of things as claimed in claim 1, wherein before the step of calculating the comparison result according to a preset calculation formula and generating the assessment result, the method further comprises:
comparing the fire fighting equipment data with historical data to generate a historical data comparison result;
and adjusting the evaluation result according to the historical data comparison result.
4. The internet of things-based fire safety assessment method according to claim 1, wherein the step of generating the assessment achievement further comprises:
setting an evaluation score weight of the fire fighting equipment data;
and calculating the evaluation score according to the evaluation score weights of various fire fighting devices.
5. A fire safety assessment device based on the Internet of things, which is characterized in that the device comprises:
the data acquisition unit is used for acquiring data of the front-end fire fighting equipment;
the data processing unit is used for comparing the fire fighting equipment data with the extracted legal and legal rules database according to a preset evaluation algorithm to generate a comparison result;
the evaluation unit is used for calculating the comparison result according to a preset calculation formula to generate an evaluation score;
and the display unit is used for displaying the evaluation achievement.
6. The internet of things-based fire safety assessment device of claim 1, further comprising:
the abnormal data analysis unit is used for setting an abnormal data analysis mechanism in the evaluation algorithm;
the abnormal data judging unit is used for judging whether abnormal data exist in the fire fighting equipment data or not according to the abnormal data analysis mechanism;
and the abnormal data cleaning unit is used for deleting the abnormal data when judging that the abnormal data exists in the fire fighting equipment data.
7. The internet of things-based fire safety assessment device of claim 1, the data processing unit further comprising:
the historical data comparison module is used for comparing the fire fighting equipment data with historical data to generate a historical data comparison result;
and the evaluation module is used for adjusting the evaluation result according to the historical data comparison result.
8. The internet of things-based fire safety assessment method according to claim 1, the assessment unit further comprising:
the weight setting module is used for setting the evaluation score weight of the fire fighting equipment data;
and the weight evaluation module is used for calculating evaluation scores according to the evaluation score weights of various fire fighting devices.
9. A computer device comprising a processor for executing a computer program stored in a memory to implement the steps of the method according to any one of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program (instructions) is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1-4.
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