Fire-fighting supervision and inspection system based on block chain
Through a blockchain-based fire supervision and inspection system, combined with fire regulations, building information and historical fire information, a differentiated detection plan is formulated to solve the problems of data tampering and low inspection efficiency in the existing system, and realize efficient and reliable fire supervision and inspection.
Patent Information
- Application Number
- CN202510727231.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-03
- Publication Date
- 2025-09-09
AI Technical Summary
In the existing fire supervision and inspection system, paper records are easy to forge, and electronic records can be modified by internal personnel in the centralized system. The risk of data tampering is high, data credibility is low, inspection efficiency is low and omissions are prone to occur, and the authenticity and efficiency of the inspection cannot be guaranteed.
A blockchain-based fire supervision and inspection system is adopted. Through the fire inspection project analysis module, frequency analysis module, device layout location determination module, management model creation module, inspection implementation module and verification and rectification module, combined with fire regulations, building information, meteorological environment and historical fire information, differentiated detection plans are formulated, and the characteristic fire management model is uploaded to the blockchain to ensure that the data cannot be tampered with and the inspection results are transparent.
It improves the accuracy and efficiency of fire supervision and inspection, ensures that data cannot be tampered with, enhances data credibility, realizes differentiated inspections of different types of units, improves the supervision workflow, and improves overall work efficiency.
Smart Images

Figure CN120612059A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of blockchain technology, and in particular to a blockchain-based fire supervision and inspection system. Background Art
[0002] Currently, blockchain is a distributed database technology that stores data in blocks and uses cryptographic methods to ensure data security and integrity. Blockchain technology enables distributed sharing and management of data, ensuring data security and reliability without the need for trusted intermediaries. Fire supervision and inspection refers to the supervision and inspection conducted by fire departments on the compliance of government agencies, organizations, enterprises, and institutions with fire laws and regulations. Violations of fire laws and regulations are subject to rectification orders and penalties imposed in accordance with the law. Fire supervision and inspection is an administrative law enforcement activity. With the increase in the number of buildings and the significant increase in population density in today's society, fire safety issues are more likely to occur, making fire supervision and inspection crucial.
[0003] The existing fire supervision and inspection refers to an on-site verification of the inspected units according to the inspection tasks. After the on-site verification, it is determined whether there are fire problems. If so, the fire problems are recorded and rectification requirements are issued to the units with fire problems. However, in the existing fire supervision and inspection system, paper records are easy to forge and electronic records can be modified by internal personnel in the centralized system. The risk of data tampering is high and it is difficult to ensure authenticity. The credibility of fire supervision and inspection data is low, and the on-site verification content for each inspected unit is the same. It is easy to miss inspection items for different types of inspected units. The efficiency of fire supervision and inspection is low and there is room for improvement. Summary of the Invention
[0004] In order to improve the work efficiency of blockchain-based fire supervision and inspection, this application provides a blockchain-based fire supervision and inspection system.
[0005] This application provides a blockchain-based fire supervision and inspection system that adopts the following technical solutions:
[0006] A fire supervision and inspection system based on blockchain, including:
[0007] a fire inspection item analysis module configured to determine fire inspection item information of the site to be tested based on fire regulations, building information, and historical fire information;
[0008] A fire inspection frequency analysis module is configured to determine the fire inspection frequency information of the tested location based on fire regulations, meteorological environment, building information, and historical fire information;
[0009] A device placement location determination module is configured to determine the placement points of detection devices and fire protection devices based on building information, site usage, and historical fire information, and then install and deploy them;
[0010] a fire management model creation module, configured to create a characteristic fire management model based on the fire inspection item information and the fire inspection frequency information of the test site, and upload the characteristic fire management model to the blockchain;
[0011] The fire inspection implementation module is configured to conduct regular fire safety inspections on the tested sites based on the fire inspection item information and fire inspection frequency information of the tested sites to obtain characteristic fire inspection results, create a fire supervision and inspection result dataset based on the characteristic fire inspection results, inspection time and inspection personnel, and upload the fire supervision and inspection result dataset to the blockchain;
[0012] The fire inspection verification and rectification module is configured to verify whether the fire safety of the tested site is inspected regularly based on the fire supervision and inspection result data set. If it is not inspected regularly, a timeout warning result is output. At the same time, the fire supervision rectification content is determined. At the next fire inspection, it is determined whether the rectification is completed based on the fire supervision rectification content. If not, a rectification warning result is output.
[0013] Preferably, the first category inspection item information is determined according to the fire protection regulations of the area where the place to be tested is located;
[0014] The building information of the site to be tested includes building type, building scale, building materials, building structure, and building usage time. The second type of inspection item information is determined according to the building type of the site to be tested;
[0015] The historical fire information of the site to be tested includes the historical fire frequency, the historical fire cause of each fire, and the historical fire severity of each fire. The third category inspection item information is determined based on the historical fire cause of the site to be tested;
[0016] The first category inspection item information, the second category inspection item information and the third category inspection item information are combined to form the fire inspection item information.
[0017] Preferably, the basic inspection frequency information is preliminarily determined according to the fire regulations of the area where the site to be tested is located;
[0018] Detecting whether the meteorological environment of the test site has an impact on the fire safety of the test site, and if so, determining the increase in inspection frequency caused by the meteorological environment around the test site to obtain first-category inspection frequency increase information;
[0019] Detect the number of permanent residents in the tested site, calculate the ratio of the number of permanent residents to the building size to obtain the permanent resident ratio, and determine the increase in inspection frequency due to the permanent residents in the tested site based on the permanent resident ratio to obtain the second type of inspection frequency increase information;
[0020] According to the historical fire frequency and historical fire severity of the site to be tested, the increase in inspection frequency caused by the historical fire situation of the site to be tested is determined to obtain the third type of inspection frequency increase information;
[0021] The fire inspection frequency information of the place to be tested is obtained by adding the basic inspection frequency information according to the first type of inspection frequency increase information, the second type of inspection frequency increase information and the third type of inspection frequency increase information.
[0022] Preferably, the type of detection device is determined according to the fire inspection item information of the place to be tested;
[0023] Determine the number of detection devices and fire protection devices to be installed at the site to be tested based on the fire inspection frequency information of the site to be tested;
[0024] Determine whether there is a correlation between the detection devices and the detection device layout points based on the fire inspection item information of the test site. If there is a correlation, determine the detection device layout points based on the fire inspection item information of the test site and the number of detection devices deployed. If there is no correlation, evenly arrange the detection device layout points at the test site based on the number of detection devices deployed, and evenly arrange the fire protection device layout points at the test site based on the number of fire protection devices deployed;
[0025] The detection device shall be installed and set up according to the detection device layout point, and the fire-fighting device shall be installed and set up according to the fire-fighting device layout point.
[0026] Preferably, the site to be tested is photographed to obtain site image information, and location information of the site to be tested is obtained. Based on the site image information, the location information of the site to be tested, the detection device deployment points, the fire protection device deployment points, the fire protection inspection item information of the site to be tested, and the fire protection inspection frequency information of the site to be tested, a characteristic fire protection management model of the site to be tested is created;
[0027] Upload the characteristic fire management model of the site to be tested to the blockchain.
[0028] Preferably, according to the fire inspection item information and the fire inspection frequency information of the place to be tested, the place to be tested is regularly inspected for fire safety to obtain characteristic fire inspection results;
[0029] Based on the characteristic fire inspection results, it is determined whether fire safety is affected. If fire safety is not affected, a normal fire inspection result is output; if fire safety is affected, an abnormal fire inspection result is output. The fire inspection safety result and the abnormal fire inspection result are combined to form a characteristic fire assessment result;
[0030] Record the time of each fire inspection and create a corresponding feature timestamp. Record the personnel who conduct each fire inspection to obtain the fire inspection personnel information.
[0031] Among them, the characteristic fire inspection results, characteristic root timestamp and fire inspection personnel information of each fire inspection are combined to form a fire supervision and inspection result dataset. After each fire inspection is completed, the fire supervision and inspection result dataset is uploaded to the blockchain.
[0032] Preferably, the fire inspection personnel information includes personnel name information, personnel number information and personnel work content information of each personnel.
[0033] Preferably, based on the characteristic root timestamp of each fire safety inspection in the fire supervision and inspection result data set, combined with the fire inspection frequency information of the test site, it is verified whether the fire safety of the test site is regularly inspected. If it is regularly inspected, a verification pass result is output; if it is not regularly inspected, a timeout warning result is output;
[0034] Plan the fire supervision and rectification contents based on the abnormal fire inspection results during each fire safety inspection;
[0035] During the next fire safety inspection, the fire supervision and rectification content will be used to determine whether the tested site has been rectified. If not, a rectification warning result will be output;
[0036] Upload the timeout warning results and rectification warning results to the blockchain.
[0037] In summary, this application includes at least one of the following beneficial technical effects:
[0038] By deeply integrating the fire protection regulations, meteorological environment, building information, and historical fire information of the place to be tested, the fire inspection item information and fire inspection frequency information of the place to be tested are formulated, and differentiated fire inspections are carried out for different places, thereby improving the accuracy of fire safety inspections at the place to be tested, thereby improving the work efficiency of fire supervision and inspection based on blockchain. The detection device layout points and fire protection device layout points in the place to be tested are determined in combination with building information, site usage and historical fire information, and are installed and laid out, thereby improving the installation accuracy of the detection device layout points and fire protection device layout points, further improving the work efficiency of fire supervision and inspection based on blockchain. At the same time, according to the fire inspection item information and fire inspection information of the place to be tested The frequency information is checked to create a characteristic fire management model, and the characteristic fire management model is uploaded to the blockchain, which ensures that the characteristic fire management model of the tested place cannot be modified manually, improves the data credibility in fire supervision and inspection, and further improves the work efficiency of blockchain-based fire supervision and inspection. Fire safety inspections are regularly carried out on the tested place through the fire inspection item information and fire inspection frequency information of the tested place to obtain characteristic fire inspection results, and a fire supervision and inspection result data set is created and uploaded to the blockchain, making the relevant data of the fire inspection transparent. According to the fire supervision and inspection result data set, it is verified whether the tested place is regularly inspected and the fire supervision rectification content is determined, the supervision work after the fire inspection is improved, and the work efficiency of fire supervision and inspection is improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 This is a module diagram of a fire supervision and inspection system based on blockchain, which is mainly reflected in this embodiment.
[0040] Figure numerals: 1. Fire inspection project analysis module; 2. Fire inspection frequency analysis module; 3. Device layout location determination module; 4. Fire management model creation module; 5. Fire inspection implementation module; 6. Fire inspection verification and rectification module. DETAILED DESCRIPTION
[0041] The present application is further described in detail below with reference to the accompanying drawings.
[0042] The embodiments of the present application disclose a fire supervision and inspection system based on blockchain.
[0043] Reference Figure 1 , a fire supervision and inspection system based on blockchain, including:
[0044] The fire inspection item analysis module is configured to determine the fire inspection item information of the place to be tested based on the fire regulations of the area where the place to be tested is located, the building information of the place to be tested, and the historical fire information.
[0045] The fire inspection frequency analysis module is configured to determine the fire inspection frequency information of the place to be tested based on the fire regulations and meteorological environment of the area where the place to be tested is located, the building information of the place to be tested, and the historical fire information.
[0046] The device layout location determination module is configured to determine the detection device layout points and fire protection device layout points based on the building structure of the site to be tested, the site usage and historical fire information, and install and layout each device based on the detection device layout points and fire protection device layout points.
[0047] The fire management model creation module is configured to create a characteristic fire management model based on the fire inspection item information and the fire inspection frequency information of the place to be tested, and upload the characteristic fire management model to the blockchain system.
[0048] The fire inspection implementation module is configured to conduct regular fire safety inspections on the tested locations based on the fire inspection item information and fire inspection frequency information of the tested locations to obtain characteristic fire inspection results, create a fire supervision and inspection result dataset based on the characteristic fire inspection results, the time when the fire inspection was conducted, and the staff who conducted the fire inspection, and upload the fire supervision and inspection result dataset to the blockchain system.
[0049] The fire inspection verification and rectification module is configured to determine whether the fire safety of the tested place is inspected regularly based on the fire supervision and inspection result data set. If it is not inspected regularly, a timeout warning result is output. At the same time, the fire supervision rectification content is determined based on the fire supervision and inspection result data set. When the next fire inspection is carried out, it is determined whether the rectification is completed based on the fire supervision rectification content. If not, a rectification warning result is output.
[0050] In actual application, the embodiment of the present application formulates the fire inspection item information and fire inspection frequency information of the place to be tested by deeply integrating the fire protection regulations, meteorological environment, building information and historical fire information of the place to be tested, and performs differentiated detection of fire inspections for different places, thereby improving the accuracy of fire safety inspections of the place to be tested, thereby improving the work efficiency of fire supervision and inspection based on blockchain, and combining building information, site usage and historical fire information to determine the detection device layout points and fire protection device layout points in the place to be tested, and install and layout them, thereby improving the installation accuracy of the detection device layout points and fire protection device layout points, further improving the work efficiency of fire supervision and inspection based on blockchain, and at the same time, according to the fire inspection item information of the place to be tested and the place to be tested The fire inspection frequency information of the venue is used to create a characteristic fire management model, which is then uploaded to the blockchain. This ensures that the characteristic fire management model of the venue to be tested cannot be modified manually, improves the data credibility in fire supervision and inspection, and further improves the work efficiency of blockchain-based fire supervision and inspection. Fire safety inspections are carried out regularly on the venue to be tested through the fire inspection item information and fire inspection frequency information of the venue to be tested to obtain characteristic fire inspection results. A fire supervision and inspection result data set is created and uploaded to the blockchain, making the relevant data of the fire inspection transparent. Based on the fire supervision and inspection result data set, it is verified whether the venue to be tested is regularly inspected and the content of fire supervision rectification is determined. This improves the supervision work after the fire inspection and improves the work efficiency of fire supervision and inspection.
[0051] Reference Figure 1 ,The specific implementation methods of the fire inspection project analysis module include:
[0052] Determine the first category inspection item information based on the fire regulations of the area where the site to be tested is located.
[0053] For example, the fire protection regulations in the area where the site to be tested is located all require inspections of fire protection equipment in the site, and the first category of inspection item information includes fire protection device inspection items.
[0054] The building information of the site to be tested includes the building type, building scale, building materials, building structure, and building usage time. The second category inspection item information is determined based on the building type of the site to be tested.
[0055] For example, if the building type of the place to be tested is an old building, and fires often occur in old buildings due to aging circuits, then the second type of inspection item information is the circuit aging inspection item.
[0056] The historical fire information of the place to be tested includes the historical fire frequency, the historical fire cause of each fire, and the historical fire severity of each fire. The third category inspection item information is determined based on the historical fire cause of the place to be tested.
[0057] For example, if the historical cause of fire at the site to be tested is gas leakage, then the third category of inspection item information includes gas leakage inspection items.
[0058] The first category inspection item information, the second category inspection item information and the third category inspection item information are combined to form the fire inspection item information.
[0059] Reference Figure 1 ,The specific implementation methods of the fire inspection frequency analysis module include:
[0060] A preliminary basic inspection frequency information is obtained based on the fire regulations in the area where the site to be tested is located.
[0061] Detect whether the meteorological environment of the test site has an impact on the fire safety of the test site. If there is an impact, determine the increase in inspection frequency caused by the meteorological environment around the test site to obtain first-category inspection frequency increase information.
[0062] Specifically, the ambient temperature and air humidity of the place to be tested are detected, and the ambient temperature of the place to be tested is compared with a preset ambient temperature threshold. If the ambient temperature of the place to be tested is greater than the ambient temperature threshold, it is determined that the ambient temperature has an impact on the fire safety of the place to be tested, and the ambient temperature impact result is output. The difference between the ambient temperature of the place to be tested and the ambient temperature threshold is calculated to obtain the ambient temperature difference. According to the ambient temperature difference, the impact of the ambient temperature on the fire safety of the place to be tested is judged, thereby judging the increase in the frequency of fire inspections at the place to be tested caused by the ambient temperature to obtain the ambient temperature impact increase.
[0063] The air humidity of the place to be tested is compared with a preset air humidity threshold. If the air humidity of the place to be tested is less than the air humidity threshold, it is determined that the air humidity has an impact on the fire safety of the place to be tested, and the air humidity impact result is output. The difference between the air humidity of the place to be tested and the air humidity threshold is calculated to obtain the air humidity difference. The impact of the air humidity on the fire safety of the place to be tested is judged according to the air humidity difference, thereby judging the increase in the frequency of fire inspections at the place to be tested due to air humidity, and obtaining the air humidity impact increase.
[0064] Among them, the increase in the impact of ambient temperature and the increase in the impact of air humidity are added together to obtain the increase in the frequency of the first type of inspection.
[0065] The number of permanent personnel in the tested site is detected, and the ratio of the number of permanent personnel to the building size is calculated to obtain the proportion of permanent personnel. Based on the proportion of permanent personnel, the increase in the inspection frequency caused by the permanent personnel in the tested site is determined to obtain the second type of inspection frequency increase information.
[0066] In actual application, the greater the density of permanent residents in the tested place, the more likely it is that a fire safety accident will occur. In other words, the greater the proportion of permanent residents, the more likely it is that a fire safety accident will occur.
[0067] According to the historical fire frequency and historical fire severity of the place to be tested, the increase in inspection frequency caused by the historical fire situation of the place to be tested is determined to obtain the third type of inspection frequency increase information.
[0068] In actual application, the higher the historical fire frequency of the place to be tested, the more likely it is that a fire will occur in the place to be tested. Therefore, when the historical fire frequency of the place to be tested is higher than the preset historical fire frequency threshold, the fire inspection frequency of the place to be tested should be increased to obtain the increase in the impact of the historical fire frequency. The value of the increase in the impact of the historical fire frequency is determined according to the degree to which the historical fire frequency of the place to be tested is higher than the preset historical fire frequency threshold. Among them, the higher the degree to which the historical fire frequency of the place to be tested is higher than the preset historical fire frequency threshold, the greater the value of the increase in the impact of the historical fire frequency.
[0069] The historical fire severity of each fire at the tested location is averaged to obtain the historical average fire severity.
[0070] The historical average fire severity of the place to be tested is compared with the preset fire severity threshold. If the historical average fire severity of the place to be tested is higher than the preset fire severity threshold, the difference between the historical average fire severity of the place to be tested and the fire severity threshold is calculated to obtain the historical fire severity difference. Based on the historical fire severity difference, the historical fire severity impact increase is obtained. Among them, the greater the historical fire severity difference, the greater the historical fire severity difference, the greater the historical fire severity impact increase.
[0071] Among them, the increase in the impact of historical fire frequency and the increase in the impact of historical fire severity are added together to obtain the increase in the frequency of the third category of inspections.
[0072] The fire inspection frequency information of the place to be tested is obtained by adding the basic inspection frequency information according to the first type of inspection frequency increase information, the second type of inspection frequency increase information and the third type of inspection frequency increase information.
[0073] Reference Figure 1 , the specific implementation method of the device layout location determination module includes:
[0074] Determine the type of detection device based on the fire inspection item information of the place to be tested.
[0075] For example, if the fire inspection item information of the site to be tested includes a gas leakage inspection item, then the detection device type includes a gas concentration detector.
[0076] The number of detection devices and fire protection devices to be installed in the place to be tested is determined based on the fire inspection frequency information of the place to be tested.
[0077] The frequency of fire inspections at the site indicates that the greater the fire safety issue at the site, the more detection devices and firefighting equipment should be installed to address the fire safety issues. The number of detection devices installed is positively correlated with the frequency of fire inspections at the site, and the number of firefighting equipment installed is positively correlated with the frequency of fire inspections at the site.
[0078] According to the fire inspection item information of the place to be tested, it is determined whether there is a correlation between the detection device and the detection device layout point. If there is a correlation, the detection device layout point is determined based on the fire inspection item information of the place to be tested and the number of detection devices deployed. If there is no correlation, the detection device layout points are obtained by uniformly setting them at the place to be tested based on the number of detection devices deployed, and the fire protection device layout points are obtained by uniformly setting them at the place to be tested based on the number of fire protection devices deployed.
[0079] The detection device shall be installed and set up according to the detection device layout point, and the fire-fighting device shall be installed and set up according to the fire-fighting device layout point.
[0080] Reference Figure 1 ,The specific implementation methods of the fire management model creation module include:
[0081] The place to be tested is photographed to obtain the image information of the place to be tested, and the location information of the place to be tested is obtained. Based on the image information of the place to be tested, the location information of the place to be tested, the layout points of the detection equipment, the layout points of the fire protection equipment, the fire protection inspection item information of the place to be tested, and the fire protection inspection frequency information of the place to be tested, a characteristic fire protection management model of the place to be tested is created.
[0082] Upload the characteristic fire management model of the site to be tested to the blockchain.
[0083] Among them, blockchain is a distributed database technology that stores data in the form of blocks and uses cryptographic methods to ensure the security and integrity of the data. Each block contains a certain amount of transaction information and is linked to the previous block through encryption to form a growing chain. This design makes it impossible for data to be tampered with in the network, because any attempt to modify the data of a block will destroy the continuity of the entire chain. Through a decentralized network structure, blockchain technology realizes the distributed sharing and management of data, thereby ensuring the security and reliability of data without the need for a trusted intermediary. In the embodiment of the present application, by uploading the characteristic fire management model of the place to be tested to the blockchain, it is ensured that the characteristic fire management model of the place to be tested cannot be artificially modified, thereby improving the credibility of data in fire supervision and inspection, and thereby improving the work efficiency of fire supervision and inspection based on blockchain.
[0084] Reference Figure 1 ,The specific implementation methods of the fire inspection implementation module include:
[0085] According to the fire inspection item information and the fire inspection frequency information of the place to be tested, the place to be tested is regularly inspected for fire safety to obtain characteristic fire inspection results.
[0086] Based on the characteristic fire inspection results, it is judged whether it affects fire safety. If it does not affect fire safety, the normal fire inspection result is output. If it affects fire safety, the abnormal fire inspection result is output. The fire inspection safety result and the fire inspection abnormal result are combined to form the characteristic fire assessment result.
[0087] The time of each fire inspection is recorded and a corresponding feature timestamp is created. The personnel who conduct each fire inspection are recorded to obtain the fire inspection personnel information. The fire inspection personnel information includes personnel name information, personnel number information, and personnel job content information of each personnel.
[0088] Among them, the purpose of recording the names, number of personnel and work content of each personnel conducting fire inspections and uploading them to the blockchain in the embodiment of the present application is to make personnel arrangements transparent. When fire safety problems occur, it is convenient to trace responsibilities, thereby improving the work efficiency of blockchain-based fire supervision and inspection.
[0089] Among them, the characteristic fire inspection results, characteristic root timestamp and fire inspection personnel information of each fire inspection are combined to form a fire supervision and inspection result dataset. After each fire inspection is completed, the fire supervision and inspection result dataset is uploaded to the blockchain.
[0090] Reference Figure 1 The specific implementation methods of the fire inspection, verification and rectification module include:
[0091] Based on the characteristic root timestamp of each fire safety inspection in the fire supervision and inspection result dataset, combined with the fire inspection frequency information in the characteristic fire management model, it is verified whether the tested place conducts regular inspections for fire safety. If regular inspections are conducted, the verification result is output; if not, a timeout warning result is output.
[0092] Plan the fire supervision rectification content based on the abnormal fire inspection results in the characteristic fire assessment results during each fire safety inspection.
[0093] During the next fire safety inspection, it is determined whether the tested site has been rectified based on the fire supervision rectification content. If not, a rectification warning result is output.
[0094] Upload the timeout warning results and rectification warning results to the blockchain.
[0095] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.
Claims
1. A fire supervision and inspection system based on blockchain, characterized in that: include: a fire inspection item analysis module configured to determine fire inspection item information of the site to be tested based on fire regulations, building information, and historical fire information; A fire inspection frequency analysis module is configured to determine the fire inspection frequency information of the tested location based on fire regulations, meteorological environment, building information, and historical fire information; A device placement location determination module is configured to determine the placement points of detection devices and fire protection devices based on building information, site usage, and historical fire information, and then install and deploy them; a fire management model creation module, configured to create a characteristic fire management model based on the fire inspection item information and the fire inspection frequency information of the test site, and upload the characteristic fire management model to the blockchain; The fire inspection implementation module is configured to conduct regular fire safety inspections on the tested sites based on the fire inspection item information and fire inspection frequency information of the tested sites to obtain characteristic fire inspection results, create a fire supervision and inspection result dataset based on the characteristic fire inspection results, inspection time and inspection personnel, and upload the fire supervision and inspection result dataset to the blockchain; The fire inspection verification and rectification module is configured to verify whether the fire safety of the tested site is inspected regularly based on the fire supervision and inspection result data set. If it is not inspected regularly, a timeout warning result is output. At the same time, the fire supervision rectification content is determined. At the next fire inspection, it is determined whether the rectification is completed based on the fire supervision rectification content. If not, a rectification warning result is output.
2. A fire supervision and inspection system based on blockchain according to claim 1, characterized in that: The specific implementation of the fire inspection project analysis module is as follows: Determine the first category inspection item information based on the fire regulations of the area where the site to be tested is located; The building information of the site to be tested includes building type, building scale, building materials, building structure, and building usage time. The second type of inspection item information is determined according to the building type of the site to be tested; The historical fire information of the site to be tested includes the historical fire frequency, the historical fire cause of each fire, and the historical fire severity of each fire. The third category inspection item information is determined based on the historical fire cause of the site to be tested; The first category inspection item information, the second category inspection item information and the third category inspection item information are combined to form the fire inspection item information.
3. A fire supervision and inspection system based on blockchain according to claim 2, characterized in that: The specific implementation of the fire inspection frequency analysis module is as follows: Conduct preliminary basic inspection frequency information based on the fire regulations of the area where the site to be tested is located; Detecting whether the meteorological environment of the test site has an impact on the fire safety of the test site, and if so, determining the increase in inspection frequency caused by the meteorological environment around the test site to obtain first-category inspection frequency increase information; Detect the number of permanent residents in the tested site, calculate the ratio of the number of permanent residents to the building size to obtain the permanent resident ratio, and determine the increase in inspection frequency due to the permanent residents in the tested site based on the permanent resident ratio to obtain the second type of inspection frequency increase information; According to the historical fire frequency and historical fire severity of the site to be tested, the increase in inspection frequency caused by the historical fire situation of the site to be tested is determined to obtain the third type of inspection frequency increase information; The fire inspection frequency information of the place to be tested is obtained by adding the basic inspection frequency information according to the first type of inspection frequency increase information, the second type of inspection frequency increase information and the third type of inspection frequency increase information.
4. A fire supervision and inspection system based on blockchain according to claim 3, characterized in that: The specific implementation method of the device layout position determination module is as follows: Determine the type of detection device based on the fire inspection item information of the place to be tested; Determine the number of detection devices and fire protection devices to be installed at the site to be tested based on the fire inspection frequency information of the site to be tested; Determine whether there is a correlation between the detection devices and the detection device layout points based on the fire inspection item information of the test site. If there is a correlation, determine the detection device layout points based on the fire inspection item information of the test site and the number of detection devices deployed. If there is no correlation, evenly arrange the detection device layout points at the test site based on the number of detection devices deployed, and evenly arrange the fire protection device layout points at the test site based on the number of fire protection devices deployed; The detection device shall be installed and set up according to the detection device layout point, and the fire-fighting device shall be installed and set up according to the fire-fighting device layout point.
5. A fire supervision and inspection system based on blockchain according to claim 4, characterized in that: The specific implementation of the fire management model creation module is as follows: Photographing the site to be tested to obtain site image information, obtaining location information of the site to be tested, and creating a characteristic fire management model for the site to be tested based on the site image information, location information of the site to be tested, detection device deployment points, fire protection device deployment points, fire inspection item information of the site to be tested, and fire inspection frequency information of the site to be tested; Upload the characteristic fire management model of the site to be tested to the blockchain.
6. A fire supervision and inspection system based on blockchain according to claim 5, characterized in that: The fire inspection implementation module is specifically implemented as follows: According to the fire inspection item information and fire inspection frequency information of the tested place, the fire safety inspection of the tested place is carried out regularly to obtain characteristic fire inspection results; Based on the characteristic fire inspection results, it is determined whether fire safety is affected. If fire safety is not affected, a normal fire inspection result is output; if fire safety is affected, an abnormal fire inspection result is output. The fire inspection safety result and the abnormal fire inspection result are combined to form a characteristic fire assessment result; Record the time of each fire inspection and create a corresponding feature timestamp. Record the personnel who conduct each fire inspection to obtain the fire inspection personnel information. Among them, the characteristic fire inspection results, characteristic root timestamp and fire inspection personnel information of each fire inspection are combined to form a fire supervision and inspection result dataset. After each fire inspection is completed, the fire supervision and inspection result dataset is uploaded to the blockchain.
7. A blockchain-based fire supervision and inspection system according to claim 6, characterized in that: The fire inspection personnel information includes personnel name information, personnel number information, and personnel work content information of each personnel.
8. A fire supervision and inspection system based on blockchain according to claim 7, characterized in that: The specific implementation of the fire inspection and rectification record module is as follows: Based on the characteristic root timestamp of each fire safety inspection in the fire supervision and inspection result dataset and the fire inspection frequency information of the tested location, it is verified whether the fire safety of the tested location is inspected regularly. If it is inspected regularly, the verification result is output; if it is not inspected regularly, the timeout warning result is output; Plan the fire supervision and rectification contents based on the abnormal fire inspection results during each fire safety inspection; During the next fire safety inspection, the fire supervision and rectification content will be used to determine whether the tested site has been rectified. If not, a rectification warning result will be output; Upload the timeout warning results and rectification warning results to the blockchain.