CN116959223A - Public safety early warning method and system based on big data analysis - Google Patents
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Abstract
The application relates to the technical field of big data analysis, and discloses a public safety early warning method and a public safety early warning system based on big data analysis, wherein a thermal imaging module in an acquisition unit acquires thermal imaging image data of a public place and sends the thermal imaging image data to an analysis unit, the analysis unit calculates duty ratio data information ZB according to the received data, and a judgment unit receives the duty ratio data information ZB calculated by the analysis unit and compares the duty ratio data information with a dangerous threshold W and then sends a dangerous instruction to a processing unit; according to the application, the data information ZB, the sound information data SY and the people number information data RS are used for calculation, the people number information data RS can reflect the people number information in the public place in a future period of time to play a role in prediction, and the sound information data SY can reflect the order degree of the site, so that the calculated early warning value J can predict the situation in the public place to play a role in early warning, and can accommodate accessible people to the greatest extent.
Description
Technical Field
The application relates to the technical field of big data analysis, in particular to a public safety early warning method and system based on big data analysis.
Background
Public safety refers to stable external environment and order required by the society and citizen individuals to engage in and conduct normal life, work, study, entertainment and interaction, public safety management is required to be conducted in order to ensure the normal order of the society and citizen, public safety management refers to the sum of various administrative activities made by national administrative authorities in order to maintain the public safety and order of the society, ensure the legal rights and interests of the citizen and conduct normal activities of the society;
the public safety prediction is generally carried out by adopting a big data mode at present, and the public safety decision process is converted from the 'coping' after the occurrence of the crisis event to the 'prediction' before the occurrence of the crisis event by effectively butting the big data processing with public crisis management, so that the problem is actively found, the emergency treatment is realized, the public safety of the city is ensured by adopting the big data technology, and meanwhile, the normal running of the city and the normal life of citizens are not interfered;
when the public occasion is managed, the number of people in the public occasion is limited in the traditional mode, so that public safety is guaranteed, and when public safety is guaranteed, the number of people is generally strictly limited, so that when the number of people which can enter is small, the public occasion cannot meet the requirements of more people at the moment, the dissatisfied emotion of people which do not enter the public occasion can be caused, and when the dissatisfied emotion is increased, adverse effects on public safety are easily caused;
when public safety problems occur somewhere, if public explanation is not timely carried out, well-known cleaning can come in and go out from the reality, everything is explained, the workload is large at this time, and the possible occurrence of public safety can not be timely predicted.
Disclosure of Invention
In order to overcome the defects in the prior art, the embodiment regulations of the application provide a public safety early warning method and a public safety early warning system based on big data analysis, so as to solve the technical problems in the background art.
In order to achieve the above purpose, the present application provides the following technical solutions: public safety early warning method and system based on big data analysis, comprising the following steps:
step S1, a thermal imaging module in an acquisition unit acquires thermal imaging image data of a public place and sends the thermal imaging image data to an analysis unit, and the analysis unit calculates duty ratio data information ZB according to the received data;
s2, the judging unit receives the duty ratio data information ZB calculated by the analyzing unit, compares the duty ratio data information ZB with a dangerous threshold W and then sends a dangerous instruction to the processing unit, and the processing unit receives the dangerous instruction to a public place for processing;
step S3, the central unit receives the collected sound information data SY, the collected number of people information data RS and the duty ratio data information ZB calculated by the analysis unit, and calculates an early warning value J;
s4, the judging unit receives the early warning value J and compares the early warning value J with an early warning threshold Y inside the early warning value J, and then sends an early warning instruction and an evacuation instruction to the processing unit, and the processing unit receives the instruction and processes the instruction in a public place;
and S5, the post unit is used for managing the online comment information in the public place after processing, and the notarization unit is used for carrying out public explanation of the event in the public place.
In a preferred embodiment, the public safety early warning system based on big data analysis comprises an acquisition unit, an analysis unit, a central unit, a judging unit, a processing unit, a later-stage unit and a notarization unit, wherein the acquisition unit is used for acquiring data information of a public place and sending the acquired data to the analysis unit and the central unit, the analysis unit receives thermal imaging image data and calculates the occupied data information ZB, the judging unit receives the occupied data information ZB and compares the occupied data information with a dangerous threshold W in the thermal imaging image data and sends an instruction to the processing unit, the central unit receives the data sent by the acquisition unit and calculates an early warning value J, the judging unit receives the early warning value J and compares the early warning value J with the early warning threshold Y and sends an instruction to the processing unit, the processing unit receives the instruction and reaches the public place for processing, the later-stage unit is used for managing the on-line comment information of the public place after processing, and the notarization unit is used for carrying out public explanation of events happening in the public place.
In a preferred embodiment, the acquisition unit includes a thermal imaging module, a sound module and a people stream module, the thermal imaging module acquires thermal imaging image data of a public place, and the thermal imaging module transmits the acquired thermal imaging image data to an analysis unit, and the analysis unit receives the thermal imaging image data and calculates the duty ratio data information ZB of the high heat area and the geothermal heat area, wherein the calculation formula of the duty ratio data information ZB isWhere RS is the number of red pixels in the thermal imaging image data, OS is the number of orange pixels in the thermal imaging image data, YS is the number of yellow pixels in the thermal imaging image data, GS is the number of green pixels in the thermal imaging image data, and BS is the number of blue pixels in the thermal imaging image data.
In a preferred embodiment, the analysis unit sends the calculated duty data information ZB to the judgment unit, the judgment unit compares the duty data information ZB with the hazard threshold W, when the duty data information ZB is lower than the hazard threshold W, the judgment unit sends the duty data information ZB to the central unit, when the duty data information ZB is greater than or equal to the hazard threshold W, the judgment unit sends the hazard instruction to the processing unit, and the processing unit receives the hazard instruction and reaches the public place for processing.
In a preferred embodiment, the sound module is configured to detect sound db data information in public places, and the sound module collects sound db data information every ten meters, and the sound module averages all collected sound db data information to generate sound information data SY, and the sound module sends the collected sound information data SY to the central unit.
In a preferred embodiment, the people stream module is configured to detect people information data RS in a public place, where a calculation formula is rs=bz+jr-CQ, where BZ is an existing person in the public place in eight points per day, JR is a number of people entering the public place, CQ is a number of people leaving the public place, and BZ and CQ make statistics once per minute, the people information data RS is refreshed once per minute, and the people stream module sends the calculated people information data RS to the central unit.
In a preferred embodiment, the central unit receives and processes the duty data ZB, the sound information data SY and the people information data RS to calculate the early warning value J, and the calculation formula of the early warning value J is as followsWherein k1 and k2 are weights, k1 is more than or equal to 0 and less than or equal to 1, k2 is more than or equal to 0 and less than or equal to 1, k1+k2=1, C is a correlation coefficient between the duty ratio data information ZB and the number information data RS, and the central unit sends the calculated early warning value J to the judging unit.
In a preferred embodiment, the judging unit receives the early warning value J and compares the early warning value J with an early warning threshold Y inside the early warning value J, wherein the early warning threshold Y comprises a lower threshold Y1 and an upper threshold Y2, when the early warning value J is smaller than the lower threshold Y1, no instruction is sent at this time, when the early warning value J is larger than or equal to the lower threshold Y1 and smaller than the upper threshold Y2, an early warning instruction is sent to the processing unit, when the early warning value J is larger than or equal to the upper threshold Y2, an evacuation instruction is sent to the processing unit, the processing unit receives the early warning instruction and sends personnel to manage the public place, and the processing unit receives the evacuation instruction and maintains the public place to perform orderly evacuation.
In a preferred embodiment, the post-period unit is used for managing the post-evacuation online information, the notarization unit is used for collecting online comment information of public places after evacuation, and when the online comment information is inconsistent with the actual situation, the online comment information heat value R is calculated, wherein a calculation formula of the online comment information heat value R is r=αb+βp+ηf, B is a play number, α is a play weight, P is a comment number, β is a share number, and η is a share weight.
In a preferred embodiment, the latter unit sends the calculated heat value R to a notarization unit which compares the standard heat value Z inside the expected heat value R, when the heat value R is lower than the standard heat value Z without processing, and when the heat value R is not lower than the standard heat value Z, the notarization unit publicly indicates the time in public places where evacuation is to be performed.
The application has the technical effects and advantages that:
1. according to the application, the data information ZB, the sound information data SY and the people number information data RS are used for calculation, the people number information data RS can reflect the people number information in the public place in a future period of time to play a role in prediction, and the sound information data SY can reflect the order degree of the site, so that the calculated early warning value J can predict the situation in the public place to play a role in early warning, and can accommodate accessible people to the greatest extent;
2. according to the application, by arranging the thermal imaging module and calculating the ratio of the red pixel, the orange pixel and the yellow pixel in the low-temperature area (the green pixel and the blue pixel), the number of people in the public area can be known, the safety of people in the public place is ensured, and the trampling phenomenon is avoided;
3. according to the application, the post-stage unit is arranged, when the on-line comment information is inconsistent with the actual situation, the table calculates the on-line comment information heat value R, when the calculated heat value R is lower than the standard heat value Z, the calculated heat value R is only found by less people at the moment and does not have great social influence, the processing is not needed at the moment, the workload is reduced, and when the heat value R exceeds the standard heat value Z, the disclosure is timely carried out, so that adverse social influence is avoided.
Drawings
Fig. 1 is a schematic diagram of the overall flow structure of the present application.
FIG. 2 is a schematic diagram of the overall system configuration of the present application.
Detailed Description
The following description will be made in detail, with reference to the drawings, of the present application, wherein the configurations of the structures described in the following embodiments are merely examples, and the public safety warning method and system based on big data analysis according to the present application are not limited to the configurations described in the following embodiments, but all other embodiments obtained by a person skilled in the art without making any creative effort are within the scope of the present application.
Referring to fig. 1, the application provides a public safety early warning method based on big data analysis, which comprises the following steps:
step S1, a thermal imaging module in an acquisition unit acquires thermal imaging image data of a public place and sends the thermal imaging image data to an analysis unit, and the analysis unit calculates duty ratio data information ZB according to the received data;
s2, the judging unit receives the duty ratio data information ZB calculated by the analyzing unit, compares the duty ratio data information ZB with a dangerous threshold W and then sends a dangerous instruction to the processing unit, and the processing unit receives the dangerous instruction to a public place for processing;
step S3, the central unit receives the collected sound information data SY, the collected number of people information data RS and the duty ratio data information ZB calculated by the analysis unit, and calculates an early warning value J;
s4, the judging unit receives the early warning value J and compares the early warning value J with an early warning threshold Y inside the early warning value J, and then sends an early warning instruction and an evacuation instruction to the processing unit, and the processing unit receives the instruction and processes the instruction in a public place;
and S5, the post unit is used for managing the online comment information in the public place after processing, and the notarization unit is used for carrying out public explanation of the event in the public place.
Referring to fig. 2, a public safety early warning=system based on big data analysis includes an acquisition unit, an analysis unit, a central unit, a judgment unit, a processing unit, a later unit and a notarization unit, wherein the acquisition unit is used for acquiring data information of a public place and transmitting the acquired data to the analysis unit and the central unit, the analysis unit receives thermal imaging image data and calculates a occupation data information ZB, the judgment unit receives the occupation data information ZB and compares the occupation data information ZB with a danger threshold value W in the analysis unit and then sends an instruction to the processing unit, the central unit receives the data sent by the acquisition unit and calculates an early warning value J, the judgment unit receives the early warning value J and compares the early warning value J with the early warning threshold value Y and then sends an instruction to the processing unit, the processing unit receives the instruction and processes the information on the internet comment information of the public place after processing, and the notarization unit is used for carrying out public explanation of an event happened in the public place; according to the application, the data information ZB, the sound information data SY and the people number information data RS are used for calculation, the people number information data RS can reflect the people number information in the public place in a future period of time to play a role in prediction, and the sound information data SY can reflect the order degree of the site, so that the calculated early warning value J can predict the situation in the public place to play a role in early warning, and can accommodate accessible people to the greatest extent.
Further, the collecting unit includes a thermal imaging module, a sound module and a people stream module, the thermal imaging module collects thermal imaging image data of public places, the thermal imaging module sends the collected thermal imaging image data to the analyzing unit, the analyzing unit receives the thermal imaging image data and calculates the duty ratio data information ZB of the high heat area and the geothermal area, and the calculation formula of the duty ratio data information ZB is as followsWherein RS is the number of red pixels in the thermal imaging image data, OS is the number of orange pixels in the thermal imaging image data, YS is the number of yellow pixels in the thermal imaging image data, GS is the number of green pixels in the thermal imaging image data, and BS is the number of blue pixels in the thermal imaging image dataThe analysis unit sends the calculated duty ratio data information ZB to the judgment unit, the judgment unit compares the duty ratio data information ZB with the dangerous threshold W, when the duty ratio data information ZB is lower than the dangerous threshold W, the judgment unit sends the duty ratio data information ZB to the central unit, when the duty ratio data information ZB is greater than or equal to the dangerous threshold W, the judgment unit sends a dangerous instruction to the processing unit, and the processing unit receives the dangerous instruction and reaches a public place site to process.
According to the embodiment of the application, the thermal imaging module collects thermal imaging data of a public place, at the moment, the collected image data comprises red pixels, orange pixels, yellow pixels, green pixels and blue pixels, and heat is arranged from high to low.
Further, the sound module is used for detecting sound decibel data information of public places, the sound module collects sound decibel data information every ten meters, the sound module generates sound information data SY after averaging all collected sound decibel data information, the sound module sends collected sound information data SY to the central unit, and when the sound module collects sound decibel data information, a plurality of points are required to be set for collection due to the fact that the general whole range in the public places is large, so that accuracy of collection results is guaranteed, and the situation that public safety is threatened due to the fact that the situation in a long distance cannot be known due to the fact that collection points are few is avoided.
Further, the people flow module is used for detecting people number information data RS in public places, a calculation formula is RS=BZ+JR-CQ, wherein BZ is the existing people in the public places in eight points per day, JR is the people entering the public places, CQ is the people leaving the public places, the BZ and CQ count once every minute, the people number information data RS is refreshed once every minute, and the people flow module sends the calculated people number information data RS to the central unit.
Further, the central unit receives and processes the duty ratio data information ZB, the sound information data SY and the people information data RS to calculate an early warning value J, wherein the calculation formula of the early warning value J is as followsWherein k1 and k2 are both weights, k1 is more than or equal to 0 and less than or equal to 1, k2 is more than or equal to 0 and less than or equal to 1, k1+k2=1, C is a correlation coefficient between the duty data information ZB and the people information data RS, the central unit sends the calculated early warning value J to the judging unit, the judging unit receives the early warning value J and compares the early warning value J with an early warning threshold Y inside the judging unit, the early warning threshold Y comprises a lower threshold Y1 and an upper threshold Y2, when the early warning value J is smaller than the lower threshold Y1, an instruction is not sent at the moment, when the early warning value J is larger than or equal to the lower threshold Y1 and smaller than the upper threshold Y2, an early warning instruction is sent to the processing unit, the processing unit receives the early warning instruction and dispatches people to manage the public occasion, and the processing unit receives the evacuation instruction and maintains the public occasion to perform orderly evacuation.
In the embodiment of the application, after the central unit receives the duty ratio data ZB, the sound information data SY and the people number information data RS and processes the duty ratio data ZB, the sound information data SY and the people number information data RS, the calculated early warning value J can reflect the situation in the public place, the duty ratio data can reflect the current people number in the public place, the people number information data RS can reflect the people number information in the public place in a period of time in the future to play a role of prediction, the sound information data SY can reflect the order degree of the public place, so that the calculated early warning value J indicates that the safety in the public place is not problematic when the calculated early warning value J is smaller than the lower threshold Y1, and indicates that the danger exists in the public place when the calculated early warning value J is larger than the lower threshold Y1, so that management personnel are increased, and when the early warning value JJ is larger than or equal to the upper threshold Y2, the public place can cause harm to the people in the public place, and evacuation treatment is timely performed, and the public safety is improved.
Further, the later unit is used for managing the evacuated online information, the notarization unit is used for collecting online comment information of public places after evacuation, when the online comment information is inconsistent with the actual situation, calculation of an online comment information heat value R is carried out, a calculation formula of the online comment information heat value R is R=αB+βP+ηF, wherein B is play quantity, α is play weight, P is comment quantity, β is comment weight, F is sharing quantity, η is sharing weight, the later unit sends the calculated heat value R to the notarization unit, the notarization unit compares the heat value R with a standard heat value Z inside the notarization unit, when the heat value R is lower than the standard heat value Z, and when the heat value R is not lower than the standard heat value Z, the notarization unit carries out public explanation on the time in the public places after evacuation.
In the embodiment of the application, the later unit is used for managing the evacuated online information, when the online comment information is inconsistent with the actual situation, the possibility that people maliciously read or bad wind is guided exists at the time is indicated, so that the online comment information heat value R is carried out, when the calculated heat value R is lower than the standard heat value Z, the calculated heat value R is indicated to be found by fewer people at the moment and does not cause great social influence, the processing is not needed at the moment, the workload is lightened, and when the heat value R exceeds the standard heat value Z, if the processing is not carried out at the moment, the adverse social influence is caused, and therefore, the later unit timely carries out disclosure to avoid influence diffusion.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (10)
1. A public safety early warning method based on big data analysis is characterized in that: the method comprises the following steps:
step S1, a thermal imaging module in an acquisition unit acquires thermal imaging image data of a public place and sends the thermal imaging image data to an analysis unit, and the analysis unit calculates duty ratio data information ZB according to the received data;
s2, the judging unit receives the duty ratio data information ZB calculated by the analyzing unit, compares the duty ratio data information ZB with a dangerous threshold W and then sends a dangerous instruction to the processing unit, and the processing unit receives the dangerous instruction to a public place for processing;
step S3, the central unit receives the collected sound information data SY, the collected number of people information data RS and the duty ratio data information ZB calculated by the analysis unit, and calculates an early warning value J;
s4, the judging unit receives the early warning value J and compares the early warning value J with an early warning threshold Y inside the early warning value J, and then sends an early warning instruction and an evacuation instruction to the processing unit, and the processing unit receives the instruction and processes the instruction in a public place;
and S5, the post unit is used for managing the online comment information in the public place after processing, and the notarization unit is used for carrying out public explanation of the event in the public place.
2. Public safety early warning system based on big data analysis, its characterized in that: the system comprises an acquisition unit, an analysis unit, a central unit, a judgment unit, a processing unit, a later-stage unit and a notarization unit, wherein the acquisition unit is used for acquiring data information of a public place and transmitting acquired data to the analysis unit and the central unit, the analysis unit receives thermal imaging image data and calculates the duty ratio data information ZB, the judgment unit receives the duty ratio data information ZB and compares the duty ratio data information with a dangerous threshold W in the duty ratio data information ZB and then transmits an instruction to the processing unit, the central unit receives the data transmitted by the acquisition unit and calculates an early-warning value J, the judgment unit receives the early-warning value J and compares the early-warning value Y with the early-warning threshold Y and then transmits the instruction to the processing unit, the processing unit receives the instruction and processes the instruction on the spot of the public place, the later-stage unit is used for managing the on-line comment information of the public place after processing, and the notarization unit is used for performing public explanation of events occurring in the public place.
3. The public safety precaution system based on big data analysis of claim 2, wherein: the acquisition unit comprises a thermal imaging module, a sound module and a people stream module, wherein the thermal imaging module acquires thermal imaging image data of public places, the thermal imaging module transmits the acquired thermal imaging image data to the analysis unit, the analysis unit receives the thermal imaging image data and calculates the duty ratio data information ZB of a high-heat area and a geothermal area, and the calculation formula of the duty ratio data information ZB is as followsWhere RS is the number of red pixels in the thermal imaging image data, OS is the number of orange pixels in the thermal imaging image data, YS is the number of yellow pixels in the thermal imaging image data, GS is the number of green pixels in the thermal imaging image data, and BS is the number of blue pixels in the thermal imaging image data.
4. A public safety precaution system based on big data analysis according to claim 3, wherein: the analysis unit sends the calculated duty ratio data information ZB to the judgment unit, the judgment unit compares the duty ratio data information ZB with the dangerous threshold W, when the duty ratio data information ZB is lower than the dangerous threshold W, the judgment unit sends the duty ratio data information ZB to the central unit, when the duty ratio data information ZB is greater than or equal to the dangerous threshold W, the judgment unit sends a dangerous instruction to the processing unit, and the processing unit receives the dangerous instruction and reaches a public place site to process.
5. A public safety precaution system based on big data analysis according to claim 3, wherein: the sound module is used for detecting sound decibel data information of a public place, the sound module collects sound decibel data information every ten meters, the sound module generates sound information data SY after averaging all collected sound decibel data information, and the sound module sends the collected sound information data SY to the central unit.
6. A public safety precaution system based on big data analysis according to claim 3, wherein: the people stream module is used for detecting people number information data RS in a public place, a calculation formula is RS=BZ+JR-CQ, wherein BZ is the existing people in the public place in eight points per day, JR is the number of people entering the public place, CQ is the number of people leaving the public place, the BZ and the CQ count once every minute, the people number information data RS is refreshed once every minute, and the people stream module sends the calculated people number information data RS to the central unit.
7. The public safety precaution system based on big data analysis of claim 6, wherein: the central unit receives and processes the duty ratio data information ZB, the sound information data SY and the people number information data RS to calculate an early warning value J, and the calculation formula of the early warning value J is as followsWherein k1 and k2 are weights, k1 is more than or equal to 0 and less than or equal to 1, k2 is more than or equal to 0 and less than or equal to 1, k1+k2=1, C is a correlation coefficient between the duty ratio data information ZB and the number information data RS, and the central unit sends the calculated early warning value J to the judging unit.
8. The public safety precaution system based on big data analysis of claim 7, wherein: the judging unit receives the early warning value J and compares the early warning value J with an early warning threshold Y in the judging unit, the early warning threshold Y comprises a lower threshold Y1 and an upper threshold Y2, when the early warning value J is smaller than the lower threshold Y1, no instruction is sent at the moment, the early warning value J is larger than or equal to the lower threshold Y1 and smaller than the upper threshold Y2, an early warning instruction is sent to the processing unit, when the early warning value J is larger than or equal to the upper threshold Y2, the processing unit receives the early warning instruction and sends personnel to manage the public occasion, and the processing unit receives the evacuation instruction and maintains the public occasion to carry out orderly evacuation.
9. A public safety precaution system based on big data analysis according to claim 3, wherein: the post-period unit is used for managing the evacuated online information, the notarization unit is used for collecting the online comment information of the evacuated public occasion, when the online comment information is inconsistent with the actual situation, the online comment information heat value R is calculated, the calculation formula is R=alpha B+beta P+eta F, B is the play quantity, alpha is the play weight, P is the comment quantity, beta is the comment weight, F is the sharing quantity, and eta is the sharing weight.
10. The public safety precaution system based on big data analysis of claim 9, wherein: the later unit sends the calculated heat value R to a notarization unit, the notarization unit compares the standard heat value Z in the expected interior of the heat value R, when the heat value R is lower than the standard heat value Z, the treatment is not needed, and when the heat value R is not lower than the standard heat value Z, the notarization unit performs public explanation on the time in the public occasion to be evacuated.
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