A management method for self-built houses

Abstract

The present invention discloses a method for managing self-built houses, including: obtaining the type of self-built houses; obtaining potential warning items according to the type of self-built houses; monitoring potential warning items, and issuing warnings when there are safety hazards. The beneficial effects of the present invention are: by collecting the architectural appearance characteristics and internal business space risk factor information of self-built houses, the information of important characteristics is structured and disassembled to form a quantifiable monitoring index system, and through the information collection and analysis of terminal devices, the system automatically determines and sends warning information to the business owner and the supervisor, so as to improve the professionalism, evidence and timeliness of self-built house management and control, and ultimately promote the safety and transparency of business management and control.

Description

Technical Field

[0001] The present invention relates to the technical field of safety supervision of self-built houses, and more specifically, to a management method of self-built houses. Background Art

[0002] At present, there is a huge stock of self-built houses, and various situations such as the expansion and modification of self-built houses and the change of their use functions for commercial purposes have occurred in large numbers. Due to the lack of comprehensive professional accounting and design in the process, the quality of the construction process is even more lacking in supervision, which brings great uncertainty to the safe use of commercial self-built houses. At the same time, there is a lack of a systematic information feedback mechanism in the field of self-built houses, and the monitoring methods are relatively backward. They mainly rely on self-reporting by residents in the control area or on-site verification by grid workers to find problems. The accuracy and effectiveness of the information are both difficult to control. Summary of the invention

[0003] The present invention provides a management method for self-built houses, which solves the problem that the existing technology lacks a systematic information feedback mechanism in the field of self-built houses, and the monitoring means are relatively backward. It mainly relies on self-reporting by residents in the control area or on-site inspection by grid workers to discover problems. The accuracy and effectiveness of the information are both difficult to control.

[0004] In order to solve the above problems, on the one hand, the present invention provides a management method for self-built houses, comprising:

[0005] Get the type of self-built house;

[0006] Obtain potential warning projects based on the type of self-built houses;

[0007] Monitor potential warning items and issue warnings when there are safety hazards.

[0008] The types of self-built houses include ordinary self-built houses, dangerous self-built houses and commercial self-built houses.

[0009] The potential warning items obtained based on the type of self-built houses include:

[0010] If the self-built house type is ordinary self-built house, the potential warning items of ordinary self-built house include warning of building appearance characteristics;

[0011] If the self-built house type is a dangerous self-built house, the potential warning items for dangerous self-built houses include house approach or entry warning, house crack warning, house tilt warning and house settlement warning;

[0012] If the type of self-built house is a commercial self-built house, the potential warning items for commercial self-built houses include gas leakage warning and personnel gathering warning.

[0013] The monitoring of potential warning items and warning when there are potential safety hazards include:

[0014] Regularly patrol ordinary self-built houses within the control range through drones and / or VR glasses to obtain building appearance feature variables. When the building appearance feature variables of ordinary self-built houses exceed a preset first threshold, a first warning message is sent to promptly implement corresponding control actions;

[0015] When people are prohibited from approaching or entering dangerous self-built houses, infrared curtains, cameras or capture devices are installed at the entrances and stairs of dangerous self-built houses to collect images and detect people. When people approach or forcefully enter, a second warning message is sent;

[0016] When dangerous cracks that need to be continuously monitored are found in the structure of a dangerous self-built house, a crack meter is installed at the crack of the dangerous self-built house to monitor the crack development value in real time online. When the crack development value exceeds the preset second threshold, a third warning information is sent;

[0017] When the structure of a dangerous self-built house shows a tilt that needs to be continuously monitored, an inclinometer is installed on the main facade of the dangerous self-built house to monitor the tilt development value of the main body of the house in real time online. When the tilt development value exceeds a preset third threshold, a fourth warning information is sent;

[0018] When the structure of a dangerous self-built house shows settlement that needs to be continuously monitored, a settlement chip is installed on the roof, structural facade or exposed foundation of the dangerous self-built house to monitor the settlement development value online in real time. When the settlement development value exceeds the preset fourth threshold, a fifth warning information is sent;

[0019] The concentration of coal gas or fuel gas in the commercial self-built house is monitored by the detection probe. When the concentration exceeds the preset fifth threshold, the sixth warning information is sent and the supply of fuel gas in the pipeline is cut off simultaneously;

[0020] The number of people in the commercial self-built houses is monitored online in real time, and when the number of people exceeds the preset sixth threshold, the seventh warning information is sent.

[0021] The method of monitoring the concentration of coal gas or fuel gas in the commercial self-built house by using the detection probe, and sending a sixth warning message and simultaneously cutting off the supply of fuel gas in the pipeline when the concentration exceeds a preset fifth threshold, includes:

[0022] A gradient threshold is set for the concentration of coal gas or fuel gas. When the concentration does not reach the preset fifth threshold but exceeds the gradient threshold, an alarm is triggered for first-hand response.

[0023] The real-time online monitoring of the number of people in the commercial self-built house, when the number of people exceeds the preset sixth threshold, sends the seventh warning information, including:

[0024] Through AI cameras and VR glasses, the number of people and real-time graphic scenes in commercial self-built houses are captured in real time, compared with the sixth threshold and uploaded to the real-time graphic scene when the seventh warning is triggered.

[0025] Also includes:

[0026] Monitor the renovation and expansion construction period.

[0027] The monitoring, renovation and expansion period includes:

[0028] Set the planned start date of the self-built house renovation and expansion unit project report to T s1 The planned completion date is T f1 The actual start date is T s2 , the actual completion date is T f2 ;

[0029] When T s1 ≤T s2 ≤T f1 or T s1 ≤T f2 ≤T f1 If the renovation and expansion is determined to be within the reported date range, no warning information will be sent for the construction period of the self-built house unit project;

[0030] When T s2 <T s1 or T f2 <T s1 or T s2 >T f1 or T f2 >T f1 When the system detects the situation of a self-built house, it will send a warning message for the construction period of the self-built house unit, thereby urging the corresponding self-built house unit to stop construction or apply for changes in the expansion date information. The system will automatically adjust the new monitoring threshold after entering the new information.

[0031] Also includes:

[0032] Photovoltaic and small energy storage modules are used to provide working voltage and current for dangerous self-built houses. When the device monitoring dangerous self-built houses loses communication, equipment failure and warning information are sent to prompt timely investigation of the cause and resumption of data collection.

[0033] On the one hand, a computer-readable storage medium is provided, wherein a plurality of instructions are stored in the storage medium, and the instructions are suitable for being loaded by a processor to execute the above-mentioned self-built house management method.

[0034] The beneficial effects of the present invention are as follows: by collecting information on the architectural appearance features and internal business space danger factors of self-built houses, the information of important features is structured and disassembled to form a quantifiable monitoring indicator system, and through information collection and analysis by terminal devices, the system automatically determines and sends early warning information to business owners and regulators to improve the professionalism, evidence-basedness and timeliness of self-built house management and control, and ultimately promote safe and transparent business management and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 It is a flow chart of a self-built house management method provided by one embodiment of the present invention;

[0037] Figure 2 It is a structural diagram of a management system for a self-built house in a hardware operating environment involved in an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of the system framework of a self-built house management system according to an embodiment of the present invention;

[0039] Figure 4 It is a flow chart of the first embodiment of the management method of self-built houses of the present invention;

[0040] Figure 5 It is a flow chart of a second embodiment of the method for managing self-built houses of the present invention;

[0041] Figure 6 It is a flow chart of a third embodiment of the method for managing self-built houses of the present invention;

[0042] Figure 7 It is a flow chart of a fourth embodiment of the method for managing self-built houses of the present invention;

[0043] Figure 8 This is a functional module diagram of an embodiment of a management device for self-built houses of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 , Figure 1 1 is a flow chart of a self-built house management method provided by an embodiment of the present invention, wherein the self-built house management method comprises steps S1-S3:

[0046] S1. Obtain the types of self-built houses; among them, the types of self-built houses include ordinary self-built houses, dangerous self-built houses and commercial self-built houses.

[0047] In this embodiment, the local self-built house information database or the city CIM platform is accessed to obtain the basic information of the self-built houses within the control scope, which includes the building house number, appearance characteristics, usage attributes, renovation and expansion registration information and the current status of the house. Among them, the basic information of self-built houses includes three categories:

[0048] Ordinary self-built housing units include the administrative ownership, household information, location, house number, building scale, structure type, renovation and expansion application filing information, and renovation and expansion project acceptance information of all self-built houses within the control scope;

[0049] Basic information of self-built houses for dangerous building control includes building scale, structure type, hazard source registration information, electronic fence control measures, hazard source monitoring record information, and information entry person / equipment number;

[0050] The basic information of commercial self-built houses includes building scale, structural type, project renovation and expansion acceptance filing, fire protection project acceptance filing, business attributes, and information of the person responsible for safety.

[0051] S2. Obtain potential warning items based on the type of self-built houses; Step S2 includes steps S21-S23:

[0052] S21. If the type of self-built house is ordinary self-built house, the potential warning items of ordinary self-built house include warning of building appearance characteristics.

[0053] In this embodiment, the local self-built house information database or the city CIM platform is accessed to obtain the basic information of the self-built houses within the control scope, and the basic information includes the building house number, appearance characteristics, usage attributes, renovation and expansion registration information and the current status of the house; the self-built house monitoring information is structured and disassembled to obtain the threshold standard of classified supervision data; according to the monitored self-built house feature data, the defined classification threshold is compared, and early warning information is sent to the supervisor to further implement the control behavior in time. The basic information of self-built houses includes self-built house house number information, usage status information, renovation and expansion registration information, site monitoring information, renovation and expansion project completion and completion information. The early warning information sent to the corresponding supervisor includes: comparing the self-built house house number information, usage status information, renovation and expansion registration information, site monitoring information, renovation and expansion project completion and completion information with the control standard information of the self-built house unit in the information database, determining the risk factors, and sending early warning information to the corresponding supervisor. In addition, the basic information of self-built houses can also include self-built house house number information, usage status information, building appearance characteristics, and surrounding site change information. The early warning information sent to the corresponding supervisor includes: comparing the self-built house monitoring information with the dangerous information control threshold of the self-built house unit in the information database, determining the risk factors, and sending the early warning information to the corresponding supervisor.

[0054] S22. If the self-built house type is a dangerous self-built house, the potential warning items for the dangerous self-built house include house approach or entry warning, house crack warning, house tilt warning and house settlement warning.

[0055] In this embodiment, the basic information of self-built houses includes house number information, usage status information, and house risk factor monitoring information. The warning information sent to the corresponding supervisor includes: house number information, usage status information, electronic enclosure information, indoor personnel activity information, crack monitoring information, house verticality monitoring information, and house settlement monitoring information.

[0056] S23. If the type of self-built house is a commercial self-built house, the potential warning items for commercial self-built houses include gas leakage warning and personnel gathering warning.

[0057] In this embodiment, the basic information of the self-built houses for commercial use within the control scope is obtained, and the information includes: house unit number, business attributes, usage status, renovation and expansion records, fire acceptance (record) records, site hazard source registration information, site hazard source inspection record information, safety responsible person and contact information; the device equipment is used to detect the signal of the internal hazard source characteristic value of the self-built house for commercial use, the number of active personnel in a specific space, and the density characteristic value detection. The actual business situation includes the building information database of the self-built house within the control scope or the urban CIM platform data, and the specific data requirements include the house unit number, business attributes, usage status, renovation and expansion records, fire acceptance (record) records, site hazard source registration information, site hazard source inspection record information, safety responsible person and contact information; in addition, the actual business situation can also include the flammable (explosive) gas concentration value inside the self-built house for commercial use within the control scope, and the number of active personnel in the business area. It is required to set the safety threshold according to the limit value standards stipulated by the industry and local competent authorities. When the monitored site characteristic value exceeds the preset safety threshold of each information of the system platform, an early warning information is automatically sent to the corresponding supervisor. So as to prompt the supervisor to eliminate risks and reduce disasters in a timely manner.

[0058] S3, monitor potential warning items and issue warnings when there are safety hazards. Step S3 includes steps S31-S37:

[0059] S31. Regularly patrol ordinary self-built houses within the control range by using drones and / or VR glasses to obtain building appearance feature variables. When the building appearance feature variables of ordinary self-built houses exceed a preset first threshold, a first warning message is sent to promptly implement corresponding control actions.

[0060] In this embodiment, a model database is established for the appearance information of self-built houses within the control range or the CIM platform data is accessed, and the self-built houses that have applied for registration have their transformation parameters entered into the platform in a timely manner. During the daily continuous inspection process, when it is found that the building appearance feature variables exceed the preset threshold, the system automatically sends an early warning message to the online system control center and equipment terminal of the regulatory department, so as to implement the corresponding control actions in a timely manner;

[0061] In order to achieve the above-mentioned purpose, the present invention provides a data collection device: the supervision platform personnel use drones to perform patrols or conduct regular patrols in combination with VR glasses, set warning thresholds for self-built houses within the control area that are suspected to be privately built, illegally built, or obviously inconsistent with the reported construction plan, and automatically send warning information when the appearance characteristics of the detected self-built houses change beyond the limit.

[0062] Optionally, when abnormalities such as site flatness and accumulation of building materials are found in the area surrounding the self-built house, a low-level warning message can be selectively set to be sent.

[0063] S32. When people are prohibited from approaching or entering a dangerous self-built house, infrared curtains, cameras or capture devices are installed at the entrance and stairs of the dangerous self-built house to collect images and detect, and a second warning message is sent when a person approaches or forcibly enters.

[0064] In this embodiment, the housing units that have been identified and included in the dangerous building management list should install monitoring devices for online remote supervision according to the identified dangerous sources. When people are prohibited from approaching and entering the house, electronic fence supervision measures are implemented, all entrances are closed, infrared curtains are installed at the entrances and indoor stairs to detect people who forcefully enter, and cameras or capture devices are installed simultaneously to collect images, upload them to the supervision platform in real time online, and send warning information to the supervisor and terminal devices.

[0065] S33. When dangerous cracks that need to be continuously monitored are found in the structure of a dangerous self-built house, a crack meter is installed at the crack of the dangerous self-built house to monitor the crack development value in real time online. When the crack development value exceeds a preset second threshold, a third warning message is sent.

[0066] In this embodiment, when dangerous cracks that need to be continuously monitored are found in the building structure appraisal, a crack meter is installed at the crack to monitor the abnormal development data of the crack in real time online. When the crack development value exceeds the preset safety threshold, the data information is uploaded to the data platform and an early warning message is sent to the regulator simultaneously.

[0067] S34. When the structure of a dangerous self-built house is found to have a tilt that requires continuous monitoring, an inclinometer is installed on the outer facade of the main body of the dangerous self-built house to monitor the tilt development value of the main body of the house in real time online. When the tilt development value exceeds a preset third threshold, a fourth warning message is sent.

[0068] In this embodiment, when the building structure is identified to have a tilt that requires continuous monitoring, an inclinometer is installed on the exterior facade of the building to monitor the abnormal development data of the tilt of the building in real time online. When the tilt development value exceeds the preset safety threshold, the data information is uploaded to the data platform and an early warning message is simultaneously sent to the regulator.

[0069] S35. When the structure of a dangerous self-built house shows settlement that needs to be continuously monitored, a settlement chip is installed on the roof, structural facade or exposed foundation of the dangerous self-built house to monitor the settlement development value online in real time. When the settlement development value exceeds the preset fourth threshold, a fifth warning message is sent.

[0070] In this embodiment, when settlement that requires continuous monitoring is found during the building structure appraisal, a settlement chip is installed on the roof of the building, the exterior facade of the structure or the exposed foundation, and the abnormal development data of the settlement is monitored online in real time. When the settlement development value exceeds the preset safety threshold, the data information is uploaded to the data platform and an early warning message is simultaneously sent to the regulator.

[0071] S36. The concentration of the coal gas or fuel gas in the commercial self-built house is monitored by the detection probe. When the concentration exceeds the preset fifth threshold, the sixth warning information is sent and the supply of the fuel gas in the pipeline is cut off simultaneously. Preferably, a gradient threshold is set for the concentration of the coal gas or fuel gas. When the concentration does not reach the preset fifth threshold but exceeds the gradient threshold, an alarm is issued for first-hand response.

[0072] In this embodiment, a safety threshold is set for the (coal) gas concentration in the kitchen area and business area of ​​the commercial self-built house. When a (coal) gas leak occurs, the monitoring probe terminal promptly captures the change in the concentration index signal. When the concentration exceeds the preset warning threshold, the installed device immediately automatically cuts off the delivery of the pipeline gas medium, and simultaneously sends warning information to the on-site business unit and the online platform of the management department of the control scope, and the terminal equipment of the (patrol) law enforcement personnel (when the following embodiments involve gas concentration warnings, the delivery of the pipeline gas medium can be automatically cut off by installing a preset device).

[0073] Relevant safety threshold parameters are formulated according to the industry's specifications or management regulations for the concentration of (coal) gas in the operating area. Optionally, a gradient threshold can be set for the concentration of (coal) gas in the operating area. When the initial leakage does not reach the preset safety threshold, an alarm can be sent to the alarm device in the business premises as a first-hand response.

[0074] In order to achieve the above object, the present invention also provides a management device for commercial self-built houses, comprising:

[0075] Gas concentration probe (acquisition end), used to capture real-time changes in gas concentration inside the regulated enclosed space;

[0076] The early warning module is used to send early warning information to on-site managers, supervision platforms, and (patrol) law enforcement personnel.

[0077] S37, real-time online monitoring of the number of people in the self-built commercial house, when the number of people exceeds the preset sixth threshold, the seventh warning information is sent. The number of people in the self-built commercial house and the real-time graphic scene are captured in real time by AI cameras and VR glasses, compared with the sixth threshold and uploaded to trigger the seventh warning.

[0078] In this embodiment, the number of personnel changes in the specific business area of ​​the commercial self-built house is monitored online in real time. When the number of personnel exceeds the preset threshold of the specific space allowed, the warning information is automatically sent to the online supervision platform and the (patrol) law enforcement personnel terminal equipment within the control range. The platform can also use VR glasses to view the on-site situation online. At the same time, when any device in the system loses contact with the remote device, the data platform automatically sends equipment failure warning information to the supervisor to prompt timely investigation of the cause and resumption of collection.

[0079] According to national and local industry management regulations, warning thresholds are set for the limit of people allowed to move around in specific spaces of commercial self-built houses.

[0080] In order to achieve the above object, the present invention also provides a management device for commercial self-built houses, comprising:

[0081] AI cameras and VR glasses that recognize people's facial features and external body features are used to capture the number of people active in a specific business space in real time, compare it with the set threshold, and upload real-time graphic scenes when the warning is triggered to the supervision platform.

[0082] By collecting information on the architectural appearance features and internal business space hazard factors of self-built houses, combined with national and industry standards and management regulations, the information of important features is structured and disassembled to form a quantifiable monitoring indicator system. Through information collection and analysis by terminal equipment, the system automatically determines and sends early warning information to business owners and regulators to improve the professionalism, evidence-basedness and timeliness of the management and control of commercial self-built houses, and ultimately promote safe and transparent business management and control.

[0083] Preferably, the self-built house management method further includes steps S4-S5:

[0084] S4, monitoring the renovation and expansion period. Step S4 includes steps S41-S43:

[0085] S41. Set the planned start date for the renovation and expansion of self-built housing unit project as T s1 The planned completion date is T f1 The actual start date is T s2 , the actual completion date is T f2 .

[0086] S42, when T s1 ≤T s2 ≤T f1 or T s1 ≤T f2 ≤T f1 If it is determined that the renovation and expansion behavior is within the reported date range, no early warning information will be sent for the construction period of the self-built house unit project.

[0087] In this embodiment, when Ts1 ≤T s2 ≤T f1 or T s1 ≤T f2 ≤T f1 When the renovation and expansion is within the reported date range, the system will not send warning information for the construction period of the self-built house unit project.

[0088] S43, when T s2 <T s1 or T f2 <T s1 or T s2 >T f1 or T f2 >T f1 When the system detects the situation of a self-built house, it will send a warning message for the construction period of the self-built house unit, thereby urging the corresponding self-built house unit to stop construction or apply for changes in the expansion date information. The system will automatically adjust the new monitoring threshold after entering the new information.

[0089] In this embodiment, when T s2 <T s1 or T f2 <T s1 or T s2 >T f1 or T f2 >T f1 When the system sends early warning information for the construction period of the self-built house unit project, the corresponding self-built house unit should be urged to stop construction or apply for changes to the expansion date information. The system will automatically adjust the new monitoring threshold after entering the new information.

[0090] S5. Photovoltaic and small energy storage modules are used to provide working voltage and current for dangerous self-built houses. When the device monitoring dangerous self-built houses loses communication, equipment failure and warning information are sent to prompt timely investigation of the cause and resumption of data collection.

[0091] In this embodiment, the power supply of dangerous self-built houses uniformly adopts "photovoltaic + small energy storage" modules and auxiliary circuits to provide working voltage and current. At the same time, when any device in the system loses contact with the remote device, the data platform automatically sends equipment failure warning information to the supervisor to prompt timely investigation of the cause and resumption of data collection.

[0092] The present invention provides a software and hardware combination embodiment to implement the above self-built house management method, as follows:

[0093] Reference Figure 2 , Figure 2 This is a schematic diagram of the structure of the self-built house intelligent management and control system in the hardware operating environment involved in the embodiment of the present invention.

[0094] like Figure 2As shown, the self-built house intelligent management and control system may include: a central server, such as a central processing unit (CPU), a monitoring unit and a collection module, a management user unit and a collection module, a mobile terminal user-level collection module, a management platform and a collection module, a cloud storage and a manual intervention access port. Among them, the communication module is used to realize the connection and communication between these components. The mobile user and manual intervention interface may include a display (Display), an input unit such as a keyboard (Keyboard), and the optional mobile user interface may also include a standard wired interface and a wireless interface. The cloud storage can be a networked high-speed random access memory (Random Access Memory, RAM) memory, or it can be a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage.

[0095] Those skilled in the art will understand that Figure 2 The structure shown in does not constitute a limitation on the smart management and control system for self-built houses, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0096] like Figure 2 As shown, the cloud storage as a storage medium may include an operating system, a data storage module, a network communication module, a user interface module and a computer program.

[0097] exist Figure 2 In the self-built house smart management and control system shown, the monitoring unit and the collection module, the central server, and the cloud storage can be set in the self-built house smart management and control system. The self-built house smart management and control system calls the computer program stored in the storage through the cloud processor and executes the self-built house smart management and control method provided by the embodiment of the present invention.

[0098] In specific implementation, the management method of self-built houses can be applied to the management system of self-built houses, refer to Figure 3The management system of self-built houses is integrated by multiple functional subsystems. Specifically, the management system of self-built houses includes: basic information subsystem. After the manual entry of the self-built house information database is completed, the system obtains the basic information of the self-built house, selects and reads the classified monitoring indicators from the aforementioned basic information, and then provides the basis for information judgment from the platform end based on the real-time information of the self-built houses detected and monitored; self-built house status monitoring subsystem, which disassembles the classified monitoring targets in the basic information into basic monitoring information standards of various categories, and then encrypts and distributes the monitoring requirements of various categories to each building unit, and issues early warnings to the control party for abnormal situations detected and monitored in real time; renovation and expansion supervision subsystem, which imports the building scale, facade, and surrounding areas in the basic information The system will monitor the location of the building and whether there is any application for renovation and expansion, so as to determine whether the self-built house unit has any illegal renovation and expansion behavior, and issue abnormal warnings; the dangerous building supervision subsystem installs networked monitoring devices on the house to monitor the four parts of the house's tilt change, crack development, building settlement and illegal internal intrusion in real time. Through continuous monitoring of the variables of dangerous factors and data analysis, the system AI makes judgments and sends warnings; the commercial self-built house supervision subsystem installs networked monitoring devices indoors to monitor the concentration of flammable and explosive gases such as natural gas and liquefied gas in the internal operating area and the number of active personnel in the business area in real time. After analysis and judgment by the system AI, when the preset management threshold is reached, a safety warning will be sent to the control party immediately.

[0099] Optionally, the basic information subsystem includes a basic information entry module, an information reading module and a local information database (or an urban CIM platform): the basic information entry module is used to obtain basic information such as the administrative division of self-built houses, owner information, building scale, structure type, facade, renovation and expansion declaration and filing information, and surrounding conditions of the site through manual entry, and the system automatically generates index tags for other subsystems to read and call; the information reading module reads and calls the self-built house information database information according to system instructions; the local information database / urban CIM platform mainly provides data support for the system.

[0100] Optionally, the self-built house monitoring subsystem includes a monitoring information structuring module, an information allocation module, an AI analysis module and an information early warning module: the monitoring information structuring module structures and disassembles the corresponding compliance standards in each basic information, that is, all basic information is detailedly split according to the requirements of national and local control regulations to obtain monitoring items of each category; the information allocation module allocates the detection item information of each category to the platform system, and submits it to the AI ​​system for comparison and judgment in combination with the monitoring feedback information; the AI ​​analysis module automatically compares the predefined detection item control threshold based on the received monitoring information, screens out the information items that exceed the limit value and submits them to the early warning module; the information early warning module receives the violation information submitted by the AI ​​analysis module, and sends early warning information to the corresponding regulator.

[0101] Optionally, the renovation and expansion supervision subsystem includes a building appearance information entry module, a monitoring and collection information entry module, a building appearance AI analysis module, and a building appearance early warning module: in the building appearance information entry module, local regulatory staff enter the self-built house appearance information and renovation and expansion application filing information into the local information database (or CIM platform), generate self-built house unit building appearance monitoring and control items, and support subsequent information updates; the monitoring and collection information entry module generates high-definition pictures and dynamic images of self-built houses based on remote detection and collection of drones released within the control range, and uploads them online to the system platform; the building appearance AI analysis module automatically compares and analyzes the collected information with the building appearance monitoring and control item information, and if it is determined that the standard feature variables of the two information exceed the preset threshold, a warning information is sent to the corresponding regulatory party.

[0102] The dangerous building supervision subsystem includes four external networked device modules for monitoring building tilt, cracks, settlement and internal personnel. The management module includes a data AI analysis module and an information warning module: the data AI analysis module compares the monitoring data submitted by the external networked monitoring device module with the corresponding deviation threshold information in the system platform, and submits the filtered monitoring data that exceeds the range requirements to the information warning module; the information warning module is responsible for sending warning information to the corresponding supervisory party based on the received data.

[0103] The commercial self-built house supervision subsystem includes a flammable (explosive) gas concentration monitoring module, a site personnel activity density monitoring module, an AI analysis module, and an information warning module:

[0104] The flammable (explosive) gas concentration monitoring module adopts the method of installing networked detectors in the monitored environment to implement the collection, transmission and alarm of abnormal data in the monitored place. The monitoring module submits the detected liquefied gas and natural gas concentration information in the environment to the AI ​​information analysis module in real time. When the AI ​​information analysis module compares and analyzes and determines that the value exceeds the threshold range preset by the system, the transmission of pipeline gas medium is automatically cut off immediately through the installed device, and data is submitted to the early warning module at the same time. The early warning module sends the early warning information to the supervisor, and the alarm in the place is started simultaneously;

[0105] The working method of the site personnel activity density monitoring module is similar. It uses the method of installing networked face and shape real-time capture cameras in the business premises to monitor the activities of people in the range in real time and send them to the AI ​​information analysis module without delay. The AI ​​information analysis module analyzes and identifies the number of people active in the venue at the same time. When the number of people exceeds the threshold of the personnel limit for business premises preset by the system, the information is immediately sent to the information warning module to send warning information to the regulator. The limit of people active in business premises in various places refers to local management regulations or other clear regulations.

[0106] The embodiment of the present invention provides a management method for self-built houses, referring to Figure 4 , Figure 4 It is a flow chart of a first embodiment of a method for managing self-built houses of the present invention.

[0107] In this embodiment, the self-built house management method includes:

[0108] Step S11: Obtaining basic information of self-built houses, the basic information including building appearance features, usage attributes and current status of the house or the current status of the house business environment;

[0109] Smart management of self-built houses refers to the use of information technology of the Internet of Things to design management systems, information platforms and supporting devices in a targeted manner according to the different control requirements of self-built houses. An information ecosystem of interconnected collaboration, intelligent monitoring and automatic early warning is established to achieve intelligent and visual control of self-built houses, so as to improve the level of smart management of business formats, thereby achieving the goal of combining prevention and control of self-built houses and safe operation.

[0110] Specifically, the basic information of self-built houses can be manually entered into the platform in advance, and then the system information structuring module can automatically generate classified supervision items for the AI ​​judgment module to read and call. The basic information of self-built houses refers to various basic data related to the appearance characteristics, existence status, and housing safety of the self-built house engineering unit. Accordingly, the platform management and control personnel of the control scope can set long-term or phased control thresholds based on the initial architectural appearance characteristics of the self-built house, the text of the renovation and expansion application filing, the use function, the risk factors or the current status of the house business environment. The system automatically generates control data entries to support managers with management authority to adjust the information characteristics during the period. This example is not specifically limited.

[0111] Step S12: Structurally decompose the self-built house monitoring information to obtain the threshold standard of classified supervision data.

[0112] Specifically, according to the different emphases of the control over self-built houses, the control information is structured and decomposed to obtain various types of control information items.

[0113] For example, the monitoring information is structured and disassembled according to the specific content and building scale, structure type, facade features, renovation and expansion target effects or business environment status, and various monitoring information items are obtained, such as building appearance features to obtain items 1.1-1.20, housing risk factors to obtain items 2.1-2.30, and housing business environment to obtain items 3.1-3.15. And so on.

[0114] Furthermore, after the structured decomposition is completed, the control thresholds of each item are manually defined in the system according to the control focus, and then various control items are allocated to the AI ​​analysis module as basic reference information through the allocation module.

[0115] Step S13, based on the monitored characteristic data of self-built houses, compare the defined classification thresholds and send early warning information to the supervisor, so as to further implement control actions in a timely manner.

[0116] It is understandable that according to the increase or decrease of key control contents of the self-built housing industry or the update of industry (local) regulations and standards, the management items and setting thresholds defined by the system platform need to be manually added, deleted and adjusted synchronously according to the latest requirements or standards to maintain the applicability and accuracy of the platform data services.

[0117] Further, see Figure 5 , a second embodiment of the self-built house management method of the present invention is proposed. Figure 5 In the embodiment shown, the basic information includes building appearance features, usage attributes and housing status information, the control requirements include thresholds for various control items of self-built houses, and the step of sending warning information to the corresponding supervisor according to the self-built house feature information includes:

[0118] Step S21: Structural classification of self-built house renovation and expansion behaviors to obtain structured supervision standard information.

[0119] Specifically, for the building scale, structural type, facade effect characteristics or renovation and expansion application text information of the self-built houses uploaded to the system platform, the relevant information is structured and disassembled according to the different emphases of the management and control requirements to obtain various different types of management and control information items.

[0120] Step S22: Structurally disassemble the self-built house monitoring information to obtain the threshold standard of classified supervision information data.

[0121] Specifically, the appearance features of the self-built houses uploaded to the system platform and the renovation and expansion application texts are structured and disassembled into control information according to different control focuses to obtain various types of control information items.

[0122] Exemplarily, the monitoring information is structured and decomposed according to the building scale, structural type, facade effect characteristics or renovation and expansion reporting target effects of self-built houses, and various monitoring information items are obtained, such as items 1.1 to 1.10 for building scale, 2.1 to 2.8 for structural type, and 3.1 to 3.10 for facade characteristics; similarly, renovation and expansion targets obtain x categories and xx items.

[0123] Furthermore, after the structured decomposition is completed, the control thresholds of each item are manually defined in the system according to the control focus, and then various control items are allocated to the AI ​​analysis module as basic reference information through the allocation module.

[0124] Step S23, based on the monitored characteristic data of self-built houses, compare the defined classification threshold and send early warning information to the supervisor, so as to further implement control actions in a timely manner.

[0125] Specifically, the supervisory party dispatches grid workers and drones (which can be used in conjunction with VR equipment) to inspect the self-built houses within the control area on a daily basis, and uploads the real-time information obtained from the inspection to the supervision information platform. The platform automatically organizes the received information according to structured classification items and sends it to the AI ​​analysis module. The AI ​​analysis module compares each item according to the basic reference information features obtained by S12. When the retrieval finds that the abnormal information reaches the preset threshold, it automatically sends a warning message to the supervisor (or handheld device terminal).

[0126] Further, see Figure 6 , a third embodiment of the management method of self-built houses of the present invention is proposed. The basic information includes building appearance features, usage attributes and house status information, the control requirements include thresholds of various control items of self-built houses, and the step of sending warning information to the corresponding supervisor according to the self-built house feature information includes:

[0127] Step S31: Structural classification is performed on the supervision requirements for dangerous self-built houses according to regulations to obtain structured supervision standard information.

[0128] Specifically, the information of people moving inside the self-built houses, which are defined as dangerous buildings, such as unit structural settlement, tilting, cracking and closed, is uploaded to the system platform. According to the different emphasis of the control requirements, the relevant information is structured and disassembled to obtain different types of basic control information items.

[0129] Exemplarily, according to the information of settlement, tilting, cracking of the self-built house unit structure and the activities of people inside the closed and controlled house, structural decomposition is performed to obtain various monitoring information items, such as items 1.1 to 1.10 for structural settlement, items 2.1 to 2.8 for main structure tilting, items 3.1 to 3.10 for structural cracking, and items 4.1 to 4.6 for abnormal activities of people inside the house under electronic fence control.

[0130] Step S32: Compare the monitored information with the structured standard information to obtain the regulatory indicator analysis results.

[0131] Specifically, measures include but are not limited to installing corresponding monitoring devices in the monitored dangerous building units according to the dangerous factors in the house appraisal report: installing a settlement meter at the characteristic point on the top of the main structure for structural settlement, a crack meter for structural cracks, and an inclinometer for the inclined outer wall of the main body; dangerous building units with electronic fences install infrared curtains and automatic infrared cameras on both sides of the main entrance or internal key paths, and dangerous buildings without stable energy supply can be equipped with "photovoltaic + power storage" kits for energy supply, but all devices should take reliable protection measures. The above types of monitoring devices will upload the monitored data information to the system platform in a timely manner, and the AI ​​analysis module will compare the basic control information items obtained according to step S31, screen out the items whose monitoring change values ​​exceed the preset threshold, and submit them to the information warning module.

[0132] Optionally, the monitoring device can be set to continuous monitoring or intermittent monitoring (for example, monitoring and submitting reports every 2 hours) according to the requirements of dangerous building management. The energy supply device should be configured according to demand and have the function of monitoring the health index of the energy supply system.

[0133] Step S33, sending early warning information to the corresponding supervisor to prompt the supervisor to handle it in a timely manner.

[0134] Specifically, the supervisor sets the index threshold according to the relevant standards of the "Standards for Safety Monitoring of Old Urban Buildings". When the structural settlement, main body tilt, and structural cracking indicators of the monitored self-built dangerous building units reach the threshold, an early warning message is automatically sent to the supervisor (or handheld device terminal) to prompt the supervisor to take technical or control measures in a timely manner.

[0135] Further, see Figure 7 , a fourth embodiment of the management method of self-built houses of the present invention is proposed. The basic information includes building appearance features, usage attributes and house status information, the control requirements include thresholds of various control items of self-built houses, and the step of sending warning information to the corresponding supervisor according to the self-built house feature information includes:

[0136] Step S41: Structural classification of the supervision requirements for commercial self-built houses is carried out according to regulations to obtain structured supervision standard information.

[0137] Specifically, the concentration of flammable (explosive) gases in the operating areas of commercial self-built buildings and the density of people active in the business premises are monitored in real time. According to different industry and local management and control requirements, the relevant information is structured and classified to obtain different basic management and control information items.

[0138] For example, according to the concentration of flammable (explosive) gases in the operating area of ​​commercial self-built buildings and the density of people active in the business premises, structured decomposition is performed to obtain classified monitoring information items, such as items 1.1 to 1.5 for natural gas concentration and items 2.1 to 2.5 for liquefied gas concentration; information on people active in specific business areas is obtained in items 3.1 to 3.2.

[0139] Step S42: Compare the monitored information with the structured standard information to obtain the monitoring index analysis results.

[0140] Specifically, networked hazardous gas leak detection devices are installed in the operation areas and business areas of self-built commercial buildings that use liquefied gas and natural gas as the main fuel to detect the concentration of hazardous flammable (explosive) gases; networked facial recognition infrared monitoring devices are installed in areas where people move or stay densely to monitor the number of people in a specific area. The above two types of monitoring devices will upload the collected data information to the system platform in a timely manner, and the AI ​​analysis module will compare the basic control information items obtained in step S41, screen out the items whose monitoring values ​​exceed the preset threshold, and submit them to the information warning module.

[0141] Optionally, the monitoring device may consider embedding AI analysis modules into respective building units based on data processing capabilities to relieve the workload of the central server and improve work response sensitivity, but the investment cost may increase.

[0142] Step S43, sending warning information to the corresponding supervisor to prompt the supervisor to handle it in a timely manner.

[0143] Specifically, the system platform sets the early warning thresholds for various indicators of AI analysis modules with reference to the "Urban Gas Design Code" (GB50028-2006), the limit value standard for the number of active personnel in the business area of ​​commercial self-built houses, and relevant local standards. When the flammable (explosive) gas AI analysis module determines that the monitoring data shows that the concentration of dangerous gases in the business area has reached the preset early warning threshold, the installed device will immediately automatically cut off the transmission of pipeline gas medium, and the sound and light alarm in the business area will automatically start, and automatically send early warning information to the supervisor (or handheld device terminal); similarly, when the number of active personnel in the business area of ​​commercial self-built houses reaches the preset early warning threshold, an early warning information will be automatically sent to the supervisor (or handheld device terminal). This is to encourage supervisors to take technical or control measures in a timely manner.

[0144] The embodiment of the present invention provides a management device for self-built houses, referring to Figure 8 , a schematic diagram of functional modules of an embodiment of a management device for self-built houses of the present invention.

[0145] The acquisition module is used to obtain the basic information, real-time appearance status, and internal conditions of self-built houses. The basic information of self-built houses includes the location information, house number information, usage status, risk status, monitoring information of dangerous factors of dangerous buildings, business attributes, concentration of flammable and explosive gases, and the number of active personnel;

[0146] A structured module is used to structurally disassemble the self-built house control content to obtain monitoring standard information of various categories;

[0147] Acquisition module: used for information transmission between detection and monitoring devices, central servers, cloud storage, and server-side devices.

[0148] A distribution module is used to guide the management and control information of each category of the self-built houses to the system, so that the corresponding information is guided to the subsystem flow path to which it belongs;

[0149] An input module is used to monitor, identify and transmit the various types of control information to the information database;

[0150] A reading module is used to pick up and identify the various types of monitored control information;

[0151] The early warning module is used to send early warning information to the corresponding supervisory party after comparing the actual situation of the self-built house with the information requirements of various types of management and control standards and the monitored real-time data information, so as to prompt the supervisory party to reduce the impact of disasters in a timely manner with the support of information.

[0152] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling related hardware through instructions, and the instructions can be stored in a computer-readable storage medium and loaded and executed by a processor. To this end, an embodiment of the present invention provides a storage medium, which stores multiple instructions, and the instructions can be loaded by a processor to execute the steps in any of the self-built house management methods provided in the embodiments of the present invention.

[0153] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0154] Since the instructions stored in the storage medium can execute the steps in any self-built house management method provided in the embodiments of the present invention, the beneficial effects that can be achieved by any self-built house management method provided in the embodiments of the present invention can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0155] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for managing self-built houses, characterized in that: include: Get the type of self-built house; Obtain potential warning projects based on the type of self-built houses; Monitor potential warning items and issue warnings when there are safety risks; The types of self-built houses include ordinary self-built houses, dangerous self-built houses and commercial self-built houses; The potential warning items obtained based on the type of self-built houses include: If the self-built house type is ordinary self-built house, the potential warning items of ordinary self-built house include warning of building appearance characteristics; If the self-built house type is a dangerous self-built house, the potential warning items for dangerous self-built houses include house approach or entry warning, house crack warning, house tilt warning and house settlement warning; If the self-built house type is a commercial self-built house, the potential warning items for commercial self-built houses include gas leakage warning and personnel gathering warning; The monitoring of potential warning items and warning when there are potential safety hazards include: Regularly patrol ordinary self-built houses within the control range through drones and / or VR glasses to obtain building appearance feature variables. When the building appearance feature variables of ordinary self-built houses exceed a preset first threshold, a first warning message is sent to promptly implement corresponding control actions; When people are prohibited from approaching or entering dangerous self-built houses, infrared curtains, cameras or capture devices are installed at the entrances and stairs of dangerous self-built houses to collect images and detect people. When people approach or forcefully enter, a second warning message is sent; When dangerous cracks that need to be continuously monitored are found in the structure of a dangerous self-built house, a crack meter is installed at the crack of the dangerous self-built house to monitor the crack development value in real time online. When the crack development value exceeds the preset second threshold, a third warning information is sent; When the structure of a dangerous self-built house shows a tilt that needs to be continuously monitored, an inclinometer is installed on the main facade of the dangerous self-built house to monitor the tilt development value of the main body of the house in real time online. When the tilt development value exceeds a preset third threshold, a fourth warning information is sent; When the structure of a dangerous self-built house shows settlement that needs to be continuously monitored, a settlement chip is installed on the roof, structural facade or exposed foundation of the dangerous self-built house to monitor the settlement development value online in real time. When the settlement development value exceeds the preset fourth threshold, a fifth warning information is sent; The concentration of coal gas or fuel gas in the commercial self-built house is monitored by the detection probe. When the concentration exceeds the preset fifth threshold, the sixth warning information is sent and the supply of fuel gas in the pipeline is cut off simultaneously; Real-time online monitoring of the number of people in the commercial self-built houses, when the number of people exceeds the preset sixth threshold, the seventh warning information is sent; The method of monitoring the concentration of coal gas or fuel gas in the commercial self-built house by using the detection probe, and sending a sixth warning message and simultaneously cutting off the supply of fuel gas in the pipeline when the concentration exceeds a preset fifth threshold, includes: Set a gradient threshold for the concentration of coal gas or fuel gas. When the concentration does not reach the preset fifth threshold but exceeds the gradient threshold, an alarm is triggered for first-hand response; The real-time online monitoring of the number of people in the commercial self-built house, when the number of people exceeds the preset sixth threshold, sends the seventh warning information, including: The number of people and real-time graphic scenes in the commercial self-built houses are captured in real time through AI cameras and VR glasses, compared with the sixth threshold and uploaded to the real-time graphic scenes when the seventh warning is triggered; Also includes: Monitor the construction period of renovation and expansion; The monitoring renovation and expansion period includes: Set the planned start date of the self-built house renovation and expansion unit project report to T s1 The planned completion date is T f1 The actual start date is T s2 , the actual completion date is T f2 ; When T s1 ≤T s2 ≤T f1 or T s1 ≤T f2 ≤T f1 If the renovation and expansion is determined to be within the reported date range, no warning information will be sent for the construction period of the self-built house unit project; When T s2 <T s1 or T f2 <T s1 or T s2 >T f1 or T f2 >T f1 When the system detects the situation of a self-built house, it will send a warning message for the construction period of the self-built house unit, thereby urging the corresponding self-built house unit to stop construction or apply for changes in the expansion date information. The system will automatically adjust the new monitoring threshold after entering the new information.

2. The self-built house management method according to claim 1, characterized in that: Also includes: Photovoltaic and small energy storage modules are used to provide working voltage and current for dangerous self-built houses. When the device monitoring dangerous self-built houses loses communication, equipment failure and warning information are sent to prompt timely investigation of the cause and resumption of data collection.

3. A computer-readable storage medium, characterized in that: The storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute a self-built house management method as described in any one of claims 1 to 2.

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