|
| Method | Data | Analysis | Conclusion |
|
| Interview (traditional) | There are 21 fire-fighting facilities with potential safety hazards. Accounting for 70% of the total survey facilities | The management of fire-fighting facilities is not in place. The damage rate of fire-fighting equipment is high, and the maintenance is not timely. The management personnel have the lowest satisfaction with staff training, and the satisfaction with equipment operation and maintenance and supervision is less than 50% | The traditional fire-fighting facilities management personnel are redundant, and the supervision and maintenance are not effective. In the long run, the safety and effectiveness of the equipment can not be guaranteed, and there are potential safety hazards in public buildings |
| Questionnaire (traditional) | The satisfaction of training, the supervision and O & M of fire-fighting is 4%, 43%, and 29% |
|
| Interview (AI-technology) | The operation of artificial intelligence operation and maintenance system is in good condition, and there is a slight shortage in personnel training | The interview results show that the artificial intelligence platform reduces the personnel cost and improves the management efficiency of fire-fighting facilities. The survey results show that most employees are satisfied with the artificial intelligence platform, and the two results are consistent | Compared with traditional management methods, artificial intelligence fire-fighting facilities management is more effective |
| Questionnaire (AI-technology) | The satisfaction of training, the supervision and O & M of fire-fighting is 75%, 91%, and 75% |
|
| Sub questionnaire (intelligence platform) | In the satisfaction ranking, intelligence is the highest, and ease of learning and operability are the lowest | It can be inferred that in the promotion and application of the intelligent platform, no attention was paid to the training of the quality of all employees, which led to the lack of operational proficiency of the management personnel on the platform and also affected the effectiveness of artificial intelligence in the management of fire facilities | It can be inferred that this is one of the reasons why employees are dissatisfied with the training of personnel in artificial intelligence management |
|
