CN117440043B - Intelligent identification early warning message pushing method and device - Google Patents
Intelligent identification early warning message pushing method and device Download PDFInfo
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Abstract
The invention relates to the technical field of data processing, and provides a method and a device for pushing intelligent identification early warning messages, wherein the method comprises the steps of acquiring position information and service state information of an intelligent identification through communication equipment; determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages; transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; determining associated management equipment based on the target matrix character; and pushing the early warning message to the associated management equipment in real time through the communication equipment. In the invention, personalized pushing according to the position and state information of the marker is realized.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for pushing intelligent identification early warning messages.
Background
With the continuous development of cities and the advancement of intelligent processes, the application of the intelligent identification system is more and more extensive. The intelligent identification system is an intelligent management system combining the identification with the network communication technology, and the identification is managed and monitored through real-time monitoring and remote control. The intelligent identification system is widely applied to the fields of urban traffic, security, public facilities and the like, and brings convenience to the life of people.
However, the conventional smart identification system has some problems in early warning message pushing. Firstly, the traditional system can only acquire the state information of the marker in a manual inspection mode, and cannot sense and push early warning messages in real time. Secondly, the early warning message pushing mode of the traditional system is single, and personalized pushing cannot be carried out according to the position and state information of the marker. Furthermore, the conventional system has limited early warning message processing capability, and cannot meet the requirement of large-scale identifier management.
Disclosure of Invention
The invention mainly aims to provide a method and a device for pushing intelligent identification early warning messages, which aim at personalized pushing according to the position and state information of an identifier.
In order to achieve the above purpose, the present invention provides a smart identification early warning message pushing method, which includes the following steps:
acquiring position information and service state information of the intelligent identifier through communication equipment; the intelligent identifier is in wireless connection with the communication equipment;
determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages;
Transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; wherein the matrix model is a matrix composed of a plurality of matrix characters;
determining associated management equipment based on the target matrix character; pushing the early warning message to the associated management equipment in real time through the communication equipment; the management device is used for receiving and processing the early warning message.
Further, the method further comprises the following steps:
monitoring environmental parameters in real time through a sensor arranged on the intelligent mark;
transmitting anomaly information to the communication device when the sensor detects that the environmental parameter is abnormal;
and pushing the abnormal environment parameters to the associated management equipment in real time through the communication equipment.
Further, before the step of obtaining the position information and the service state information of the smart identifier through the communication device, the method further includes:
and setting an early warning rule on the communication equipment, wherein the early warning rule is used for judging whether the position information and the service state information of the intelligent identification meet the early warning conditions.
Further, the management device is provided with a display mode and a reminding mode of the early warning message, and the management device displays and reminds the received early warning message according to the display mode and the reminding mode of the early warning message.
Further, after receiving the early warning message, the management device receives a response operation of the user to the early warning message, wherein the response operation comprises a confirmation or reply operation, and transmits an operation result back to the communication device so as to feed back to the intelligent identifier.
Further, the classification result comprises a first classification, a second classification, a third classification, and classification probabilities corresponding to the first classification, the second classification and the third classification respectively, wherein the classification probabilities are respectively a first probability, a second probability and a third probability;
the step of transforming the preset matrix model based on the classification result of the early warning message comprises the following steps:
acquiring a preset matrix model; wherein the matrix model comprises three rows and three columns of matrix characters;
the first probability, the second probability and the third probability are subjected to size arrangement to obtain probability sorting;
first rearranging three whole rows of the matrix model based on the probability ordering; the first probability, the second probability and the third probability sequentially correspond to a first row, a second row and a third row in a preset matrix model; in the matrix model rearranged for the first time, the rows corresponding to the maximum probability in the first probability, the second probability and the third probability are arranged to the first row, and the rows corresponding to the minimum probability are arranged to the third row;
Based on the probability ranking, performing second rearrangement on three matrix characters in the first row in the matrix model subjected to the first rearrangement; the first probability, the second probability and the third probability sequentially correspond to a first column of matrix characters, a second column of matrix characters and a third column of matrix characters in the matrix model rearranged for the first time; and in the matrix model rearranged for the second time, matrix characters corresponding to the maximum probability in the first probability, the second probability and the third probability are arranged to the first column, and matrix characters corresponding to the minimum probability are arranged to the third column.
Further, the step of determining the target matrix character corresponding to the early warning message based on the transformed matrix model includes:
and in the matrix model rearranged for the second time, acquiring the matrix characters of the first row and the first column as the target matrix characters.
Further, the classification result is a result corresponding to the classification with the highest probability; before the step of pushing the early warning message to the associated management device in real time through the communication device, the method comprises the following steps:
acquiring a preset encryption matrix; wherein the encryption matrix comprises a plurality of rows and columns of matrix characters;
Obtaining target characters corresponding to the classification result; wherein, the database stores the mapping relation between the classification result and the characters; the target character consists of two characters, namely a first character and a second character;
removing matrix characters corresponding to the first character and the second character from the preset encryption matrix, and leaving corresponding first matrix gaps and second matrix gaps;
in the row where the first matrix empty space is located, shifting all matrix characters in front of the first matrix empty space backwards by one bit so as to leave a third matrix empty space in the first column of the row where the first matrix empty space is located; continuing to shift all matrix characters positioned above a third matrix empty position in a first column of the encryption matrix downwards by one bit, and adding the first characters to the position of the first column of the first row;
shifting all matrix characters behind the second matrix blank forward by one bit in the row where the second matrix blank is located, so as to leave a fourth matrix blank in the last column of the row where the second matrix blank is located; and continuing to translate all matrix characters positioned below the fourth matrix empty position in the last column of the encryption matrix upwards by one bit, and adding the second character to the position of the last column of the last row to obtain a target encryption matrix;
Generating an encryption password based on the target encryption matrix; and encrypting the early warning message based on the encryption password.
Further, the step of generating an encryption password based on the target encryption matrix includes:
acquiring current time information; wherein the time information comprises an hour number mn and a minute number xy;
in the target encryption matrix, a first target character on an (m+1) th row in a first column is acquired, a second target character on an (n+1) th column in the first column is acquired, a third target character on an (x+1) th row in a last column is acquired, and a fourth target character on a (y+1) th column in the last column is acquired;
and according to a preset rule, the first target character, the second target character, the third target character and the fourth target character are formed into the encryption password.
The invention also provides a smart identification early warning message pushing device, which comprises:
the acquisition unit is used for acquiring the position information and the service state information of the intelligent identifier through the communication equipment; the intelligent identifier is in wireless connection with the communication equipment;
the determining unit is used for determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages;
The transformation unit is used for transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; wherein the matrix model is a matrix composed of a plurality of matrix characters;
a pushing unit, configured to determine an associated management device based on the target matrix character; pushing the early warning message to the associated management equipment in real time through the communication equipment; the management device is used for receiving and processing the early warning message.
The invention also provides a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of any of the methods described above when the computer program is executed.
The invention also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method of any of the preceding claims.
The invention provides a method and a device for pushing intelligent identification early warning information, which comprise the steps of acquiring position information and service state information of an intelligent identification through communication equipment; the intelligent identifier is in wireless connection with the communication equipment; determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages; transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; wherein the matrix model is a matrix composed of a plurality of matrix characters; determining associated management equipment based on the target matrix character; pushing the early warning message to the associated management equipment in real time through the communication equipment; the management device is used for receiving and processing the early warning message. In the invention, the content of the early warning message is determined according to the position information and the service state information of the intelligent mark; transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; based on the target matrix characters, the associated management equipment is determined, and personalized pushing according to the position and state information of the identifier is realized.
Drawings
FIG. 1 is a schematic diagram illustrating steps of a method for pushing intelligent identification early warning messages according to an embodiment of the present invention;
FIG. 2 is a block diagram of a smart identification warning message pushing device according to an embodiment of the present invention;
fig. 3 is a block diagram schematically illustrating a structure of a computer device according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, in one embodiment of the present invention, a smart identification early warning message pushing method is provided, which includes the following steps:
step S1, position information and service state information of a smart mark are obtained through communication equipment; the intelligent identifier is in wireless connection with the communication equipment;
step S2, determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages;
Step S3, based on the classification result of the early warning message, transforming a preset matrix model; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; wherein the matrix model is a matrix composed of a plurality of matrix characters;
step S4, determining associated management equipment based on the target matrix characters; pushing the early warning message to the associated management equipment in real time through the communication equipment; the management device is used for receiving and processing the early warning message.
In this embodiment, as described in step S1, the smart identifier and the communication device are wirelessly connected. Such wireless connections may employ a variety of communication technologies, such as wireless local area networks (Wi-Fi), bluetooth (Bluetooth), wireless sensor networks, and the like. The intelligent identification can be carried with a corresponding wireless communication module to establish connection with communication equipment. Once the wireless connection between the smart tag and the communication device is established, the communication device may actively or passively acquire location information and traffic state information for the smart tag. Through wireless connection, the communication equipment can carry out data exchange with the intelligent identification, and the position and the current service state of the intelligent identification are obtained in real time. In acquiring location information, the smart identifier may be provided with a Global Positioning System (GPS) or other positioning technology, and may be capable of acquiring geographic coordinate information such as longitude and latitude of the smart identifier itself. The location information may be transmitted by the communication device to a background server or management side for further processing and analysis.
In acquiring business state information, the smart identification may be coupled to various sensing devices or sensors (e.g., temperature sensors, humidity sensors, light sensors, etc.). The sensing equipment or the sensor can monitor the environmental parameters and the service running state around the intelligent identification in real time. Through wireless connection, the communication device can acquire environmental parameter data provided by the sensing devices or the sensors, including information such as temperature, humidity, illumination and the like, and business operation states of intelligent identification such as normal operation, failure and the like.
Through the wireless connection and data exchange, the communication equipment can acquire the position information and the service state information of the intelligent identifier in real time. The information is used as an important basis for determining the content, the pushing mode, the processing strategy and the like of the early warning message in the subsequent steps. Through real-time communication, the method can provide more accurate and timely early warning service, and the safety and reliability of the intelligent identification are improved.
As described in step S2, the content of the early warning message may be determined according to the location information and the service status information of the smart tag. The location information may include the specific location where the smart identification is located, such as a street, building, etc., or some particular geographic area. The service status information may describe the status of the smart identification service, such as normal, abnormal, failed, etc. According to the information, the specific content of the early warning message can be determined, for example, the user is informed that a specific event occurs near a certain smart mark or the user is reminded that the business state of the smart mark is abnormal, and the like. And secondly, classifying the early warning message based on a preset early warning message classification model, and determining the classification result of the early warning message. The early warning message classification model can be a preset rule, a preset depth network model or a preset algorithm, and is used for classifying and judging the early warning messages of different types. These rules, deep network models or algorithms may take into account the location of the smart identification, the traffic status, and the need for system management. For example, the model can divide the early warning message into different categories such as urban traffic, security, public facilities and the like according to the position information of the smart identification; or dividing the early warning message into three categories of normal, abnormal and fault according to the service state information.
Based on a preset early warning message classification model, early warning messages can be accurately classified, and corresponding classification results are determined. The above classification result will be used in a subsequent step for pushing to the associated management device in order to trigger the corresponding pre-warning process and response.
Through the steps, the content of the early warning message can be determined according to the position information and the service state information of the intelligent identifier, and the early warning message is classified through a preset early warning message classification model for subsequent processing and pushing. Therefore, the accuracy and pertinence of the early warning message can be improved, and the overall safety and reliability of the intelligent identification system can be improved.
As described in step S3, the preset matrix model is transformed based on the classification result of the early warning message. The predetermined matrix model is a matrix of a plurality of matrix characters, each of which may represent a different category of warning messages. The pre-alarm classification results provide a strategy to inform how the matrix model should be modified or transformed. For example, if the classification of an early warning message is "severe," then some transformation of the matrix model may be required to reflect this "severe" classification more. There are various ways of transformation, and the method is not particularly limited herein.
Then, based on the transformed matrix model, a target matrix character corresponding to the early warning message is determined. The target matrix character is an abstract or coded representation of the content of the early warning message, which can help better understand and process the early warning message. For example, if the transformed matrix model indicates that the warning message corresponds to a "severe" classification, the target matrix character may be set to a particular character or symbol representing "severe". The method adopts a matrix model to encode and classify the early warning message, and aims to enable the process of processing the early warning message and performing early warning response to be more efficient and targeted. This is also one of the key links of the whole smart identification early warning message pushing method.
As described in the above step S4, the associated management device is determined based on the target matrix character. The target matrix characters represent an abstract code of the warning message that indicates the nature and urgency of the warning message. Associated management devices refer to those devices or applications associated with an early warning message of a particular category or nature. For example, if the target matrix character represents a severe warning message, the associated management device may be a security monitoring system or related application dedicated to handling the severe problem.
The early warning message is then pushed in real time to the associated management device via the communication device. It is necessary to ensure that a reliable communication connection is established between the communication device and the management device. The early warning message is transmitted to the management equipment through a real-time communication channel so as to inform related personnel or system operators in time and enable the personnel or system operators to take corresponding early warning processing actions in time. Finally, the management device is used to receive and process the early warning message. These management devices may include applications similar to a monitoring center, a command control center, or related applications. The received early warning messages are displayed to operators or related personnel through the devices, so that the operators can timely know related problems, events or risks, and respond and process the related problems, events or risks.
By the technical scheme, the early warning information can be pushed to equipment or an application program associated with the management equipment in real time, and relevant personnel can be ensured to receive and process the early warning information in time. The safety and the reliability of the intelligent identification system are further enhanced, and the processing efficiency and the response capability of the early warning message are improved.
In an embodiment, further comprising:
Monitoring environmental parameters in real time through a sensor arranged on the intelligent mark;
transmitting anomaly information to the communication device when the sensor detects that the environmental parameter is abnormal;
and pushing the abnormal environment parameters to the associated management equipment in real time through the communication equipment.
In this embodiment, the real-time monitoring of environmental parameters by the sensor provided on the smart sign means that various types of sensors, such as a temperature sensor, a humidity sensor, a smoke sensor, etc., are installed on the smart sign device for real-time monitoring of various parameters of the environment.
When the sensor detects that the environmental parameter is abnormal, the sensor detects that the numerical value of the environmental parameter exceeds a set normal range or reaches a preset abnormal standard through real-time monitoring. For example, the temperature sensor detects a temperature that is too high, the humidity sensor detects a humidity that is too low, or the smoke sensor detects the presence of smoke. Transmitting the abnormality information to the communication device means that the sensor transmits the detected abnormality information to the communication device in real time through the connection established with the communication device. Thus, the communication device can receive the abnormal information in time and make corresponding processing and response.
Pushing the abnormal environment parameters to the associated management device in real time through the communication device means that the communication device pushes the received abnormal information to the device or the application program associated with the management device through a real-time communication channel. The management device can immediately acquire the abnormal environmental parameter information and make corresponding processing measures, such as giving an alarm, notifying corresponding personnel or adjusting related system settings.
In summary, the sensor is arranged on the smart identifier to monitor the environmental parameter in real time, timely transmit the abnormal information to the communication device, and timely push the abnormal environmental parameter to the associated management device through the communication device, so that the real-time monitoring of the environmental parameter can be ensured, and corresponding measures can be timely taken to cope with emergencies, risks or abnormal conditions. The safety and the reliability of the intelligent identification system are further improved, so that related personnel can know the abnormal condition of the environmental parameters in time, and corresponding early warning processing is performed.
In an embodiment, before the step of obtaining the location information and the service status information of the smart identifier by the communication device, the method further includes:
And setting an early warning rule on the communication equipment, wherein the early warning rule is used for judging whether the position information and the service state information of the intelligent identification meet the early warning conditions.
In an embodiment, the management device is provided with a display mode and a reminding mode of the early warning message, and the management device displays and reminds the received early warning message according to the display mode and the reminding mode of the early warning message.
In an embodiment, after receiving the early warning message, the management device receives a response operation of the user to the early warning message, where the response operation includes a confirmation or reply operation, and transmits a result of the operation back to the communication device for feeding back to the smart identifier.
In an embodiment, the classification result includes a first classification, a second classification, a third classification, and classification probabilities corresponding to the first classification, the second classification, and the third classification, respectively, are a first probability, a second probability, and a third probability;
the step of transforming the preset matrix model based on the classification result of the early warning message comprises the following steps:
acquiring a preset matrix model; wherein the matrix model comprises three rows and three columns of matrix characters;
the first probability, the second probability and the third probability are subjected to size arrangement to obtain probability sorting;
First rearranging three whole rows of the matrix model based on the probability ordering; the first probability, the second probability and the third probability sequentially correspond to a first row, a second row and a third row in a preset matrix model; in the matrix model rearranged for the first time, the rows corresponding to the maximum probability in the first probability, the second probability and the third probability are arranged to the first row, and the rows corresponding to the minimum probability are arranged to the third row;
based on the probability ranking, performing second rearrangement on three matrix characters in the first row in the matrix model subjected to the first rearrangement; the first probability, the second probability and the third probability sequentially correspond to a first column of matrix characters, a second column of matrix characters and a third column of matrix characters in the matrix model rearranged for the first time; and in the matrix model rearranged for the second time, matrix characters corresponding to the maximum probability in the first probability, the second probability and the third probability are arranged to the first column, and matrix characters corresponding to the minimum probability are arranged to the third column.
In this embodiment, a preset matrix model is obtained: the preset matrix model is a three-row three-column matrix character.
The first probability, the second probability and the third probability are subjected to size arrangement, and probability ordering is obtained: and according to probability values corresponding to the first classification, the second classification and the third classification in the classification result, arranging the probability values according to the size, so as to obtain a probability ranking.
Based on the probability ordering, three whole rows of the matrix model are rearranged for the first time: according to the probability ordering, arranging the whole row of matrix characters corresponding to the probability of arranging the first bit to the first row, arranging the whole row of matrix characters corresponding to the probability of arranging the second bit to the second row, and finally arranging the whole row of matrix characters corresponding to the probability of arranging the third bit to the third row. In this way, the first rearrangement of the matrix model is completed.
Based on the probability ranking, in the matrix model subjected to the first rearrangement, three matrix characters in the first row are subjected to the second rearrangement: according to the probability ordering, matrix characters corresponding to the probability of being arranged in the first position are arranged in the first column, matrix characters corresponding to the probability of being arranged in the second position are arranged in the second column, and finally matrix characters corresponding to the probability of being arranged in the third position are arranged in the third column. In this way, a second rearrangement of the matrix model is completed.
Through the scheme, the preset matrix model can be transformed according to the classification result of the early warning message. The preset matrix model can be adjusted according to the classification probability by sequencing the probabilities and rearranging the rows and columns of the matrix model according to the probability arrangement result. Therefore, the classification condition of the early warning message can be more accurately represented, and the accuracy and the efficiency of subsequent processing and response are further improved.
Specifically, for example, the predetermined matrix model is:
the third probability is greater than the first probability, and the first probability is greater than the second probability, so that the matrix model obtained through the first rearrangement is as follows:
the matrix model obtained through the first rearrangement is as follows:
。
in an embodiment, the step of determining the target matrix character corresponding to the early warning message based on the transformed matrix model includes:
and in the matrix model rearranged for the second time, acquiring the matrix characters of the first row and the first column as the target matrix characters.
In an embodiment, the classification result is a result corresponding to a classification with the highest probability; before the step of pushing the early warning message to the associated management device in real time through the communication device, the method comprises the following steps:
Acquiring a preset encryption matrix; wherein the encryption matrix comprises a plurality of rows and columns of matrix characters;
obtaining target characters corresponding to the classification result; wherein, the database stores the mapping relation between the classification result and the characters; the target character consists of two characters, namely a first character and a second character;
removing matrix characters corresponding to the first character and the second character from the preset encryption matrix, and leaving corresponding first matrix gaps and second matrix gaps;
in the row where the first matrix empty space is located, shifting all matrix characters in front of the first matrix empty space backwards by one bit so as to leave a third matrix empty space in the first column of the row where the first matrix empty space is located; continuing to shift all matrix characters positioned above a third matrix empty position in a first column of the encryption matrix downwards by one bit, and adding the first characters to the position of the first column of the first row;
shifting all matrix characters behind the second matrix blank forward by one bit in the row where the second matrix blank is located, so as to leave a fourth matrix blank in the last column of the row where the second matrix blank is located; and continuing to translate all matrix characters positioned below the fourth matrix empty position in the last column of the encryption matrix upwards by one bit, and adding the second character to the position of the last column of the last row to obtain a target encryption matrix;
Generating an encryption password based on the target encryption matrix; and encrypting the early warning message based on the encryption password.
In this embodiment, the method specifically includes:
acquiring a preset encryption matrix: the encryption matrix is a matrix character comprising a plurality of rows and a plurality of columns, each character being used to represent an encrypted character during encryption.
Obtaining target characters corresponding to the classification result: specifically, each predicted classification result (e.g., first classification, second classification, third classification, etc.) will have a corresponding target character, which is stored in the database. A target character consists of two separate characters, called a first character and a second character, respectively.
Removing matrix characters corresponding to the first character and the second character from a preset encryption matrix, and leaving corresponding first matrix gaps and second matrix gaps: in brief, this step removes the locations of the corresponding first and second characters in the original matrix, leaving room for subsequent encryption operations.
According to a specific rule, carrying out horizontal and vertical translation operation on part of characters of the encryption matrix, and inserting a first character and a second character at proper positions to obtain a target encryption matrix: essentially, this step rearranges and adjusts the encryption matrix and inserts the target character to form a new target encryption matrix.
Generating an encryption password based on the target encryption matrix: the target encryption matrix serves as a reference in generating an encryption key, which may be some representation or mapping of the target encryption matrix.
Encrypting the early warning message based on the encryption password: the encryption password is used for encrypting the early warning message, and the generated encrypted early warning message can be transmitted more safely.
Based on the technical scheme, the privacy and the safety of the early warning message in the transmission process are improved through encryption operation while the accuracy of the early warning message is ensured. The encryption matrix is transformed based on the transformation rules, so that the security of acquiring the encryption password is enhanced, and the encryption matrix and the classification result are strongly associated, thereby facilitating subsequent inspection and the like.
In one embodiment, the step of generating an encryption key based on the target encryption matrix includes:
acquiring current time information; wherein the time information comprises an hour number mn and a minute number xy;
in the target encryption matrix, a first target character on an (m+1) th row in a first column is acquired, a second target character on an (n+1) th column in the first column is acquired, a third target character on an (x+1) th row in a last column is acquired, and a fourth target character on a (y+1) th column in the last column is acquired;
And according to a preset rule, the first target character, the second target character, the third target character and the fourth target character are formed into the encryption password.
In this embodiment, the method specifically includes:
acquiring current time information: the current hours and minutes are obtained and expressed as "mn" and "xy", where "m" and "n" represent tens and units of hours, respectively, and "x" and "y" represent tens and units of minutes, respectively.
In the target encryption matrix, four target characters are acquired according to the corresponding position rules: four target characters are acquired from the target encryption matrix according to predefined rules for use in constructing an encryption password. It is understood that the number of rows and columns of the target encryption matrix is greater than 13.
First target character: obtained from the (m+1) th row in the first column of the target encryption matrix. Here, since the ten digits of the number of hours are "m", it is necessary to acquire the character of the (m+1) th line.
A second target character: obtained from the (n+1) th column in the first row of the target encryption matrix. Similarly, since the number of units of the number of hours is "n", the character of the (n+1) -th column needs to be acquired.
Third target character: obtained from row (x+1) in the last column of the target encryption matrix. Similarly, since the ten digits of the minute number are "x", the character of the (x+1) th row of the last column needs to be acquired.
Fourth target character: obtained from column (y+1) in the last row of the target encryption matrix. Similarly, since the number of units of the minute is "y", the character of the (y+1) th column of the last line needs to be acquired.
According to a preset rule, combining four target characters into an encryption password: and combining the four target characters together according to a certain sequence according to a preset rule to form the encryption password. The preset rules are rules defined in advance according to specific requirements and design considerations, and are used for combining four target characters into an encryption password in a certain mode. These rules may be formulated based on security requirements or system design considerations, ensuring that the generated password is sufficiently complex and random. For example: four target characters, E, C, G and H, respectively, are obtained from the target encryption matrix. The encryption password is EHCGHC, which is formed by combining them in a certain order, and the generation rule is not limited here.
In this embodiment, by the above technical solution, an encryption password may be generated according to the current time information and the corresponding character in the target encryption matrix. The encryption password is based on a combination of time and target characters and is used for encrypting the early warning message. Thus, the password changes during each time period, increasing the randomness and security of the encryption.
Referring to fig. 2, in an embodiment of the present invention, there is further provided a smart identification early warning message pushing device, including:
the acquisition unit is used for acquiring the position information and the service state information of the intelligent identifier through the communication equipment; the intelligent identifier is in wireless connection with the communication equipment;
the determining unit is used for determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages;
the transformation unit is used for transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; wherein the matrix model is a matrix composed of a plurality of matrix characters;
A pushing unit, configured to determine an associated management device based on the target matrix character; pushing the early warning message to the associated management equipment in real time through the communication equipment; the management device is used for receiving and processing the early warning message.
In this embodiment, for specific implementation of each unit in the above embodiment of the apparatus, please refer to the description in the above embodiment of the method, and no further description is given here.
Referring to fig. 3, in an embodiment of the present invention, there is further provided a computer device, which may be a server, and an internal structure thereof may be as shown in fig. 3. The computer device includes a processor, a memory, a display screen, an input device, a network interface, and a database connected by a system bus. Wherein the computer is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store the corresponding data in this embodiment. The network interface of the computer device is used for communicating with an external terminal through a network connection. Which computer program, when being executed by a processor, carries out the above-mentioned method.
It will be appreciated by those skilled in the art that the architecture shown in fig. 3 is merely a block diagram of a portion of the architecture in connection with the present inventive arrangements and is not intended to limit the computer devices to which the present inventive arrangements are applicable.
An embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method. It is understood that the computer readable storage medium in this embodiment may be a volatile readable storage medium or a nonvolatile readable storage medium.
In summary, the method and the device for pushing the smart identification early warning message provided in the embodiments of the present invention include obtaining location information and service status information of the smart identification through a communication device; the intelligent identifier is in wireless connection with the communication equipment; determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages; transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; wherein the matrix model is a matrix composed of a plurality of matrix characters; determining associated management equipment based on the target matrix character; pushing the early warning message to the associated management equipment in real time through the communication equipment; the management device is used for receiving and processing the early warning message. In the invention, the content of the early warning message is determined according to the position information and the service state information of the intelligent mark; transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; based on the target matrix characters, the associated management equipment is determined, and personalized pushing according to the position and state information of the identifier is realized.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided by the present invention and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM, among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes using the descriptions and drawings of the present invention or direct or indirect application in other related technical fields are included in the scope of the present invention.
Claims (10)
1. The intelligent identification early warning message pushing method is characterized by comprising the following steps of:
acquiring position information and service state information of the intelligent identifier through communication equipment; the intelligent identifier is in wireless connection with the communication equipment;
Determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages;
transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; wherein the matrix model is a matrix composed of a plurality of matrix characters;
determining associated management equipment based on the target matrix character; pushing the early warning message to the associated management equipment in real time through the communication equipment; the management device is used for receiving and processing the early warning message.
2. The smart identification early warning message pushing method according to claim 1, further comprising:
monitoring environmental parameters in real time through a sensor arranged on the intelligent mark;
transmitting anomaly information to the communication device when the sensor detects that the environmental parameter is abnormal;
and pushing the abnormal environment parameters to the associated management equipment in real time through the communication equipment.
3. The smart identification early warning message pushing method as claimed in claim 1, further comprising, before the step of acquiring the location information and the service status information of the smart identification through the communication device:
And setting an early warning rule on the communication equipment, wherein the early warning rule is used for judging whether the position information and the service state information of the intelligent identification meet the early warning conditions.
4. The intelligent identification early warning message pushing method according to claim 1, wherein the management device is provided with a display mode and a reminding mode of the early warning message, and the management device displays and reminds the received early warning message according to the display mode and the reminding mode of the early warning message.
5. The smart identification pre-warning message pushing method as claimed in claim 1, wherein,
after receiving the early warning message, the management device receives response operation of the user to the early warning message, wherein the response operation comprises confirmation or reply operation, and transmits an operation result back to the communication device so as to feed back to the intelligent identification.
6. The smart identification early warning message pushing method according to claim 1, wherein the classification result includes a first classification, a second classification, a third classification, and classification probabilities corresponding to the first classification, the second classification, and the third classification, respectively, are a first probability, a second probability, and a third probability;
the step of transforming the preset matrix model based on the classification result of the early warning message comprises the following steps:
Acquiring a preset matrix model; wherein the matrix model comprises three rows and three columns of matrix characters;
the first probability, the second probability and the third probability are subjected to size arrangement to obtain probability sorting;
first rearranging three whole rows of the matrix model based on the probability ordering; the first probability, the second probability and the third probability sequentially correspond to a first row, a second row and a third row in a preset matrix model; in the matrix model rearranged for the first time, the rows corresponding to the maximum probability in the first probability, the second probability and the third probability are arranged to the first row, and the rows corresponding to the minimum probability are arranged to the third row;
based on the probability ranking, performing second rearrangement on three matrix characters in the first row in the matrix model subjected to the first rearrangement; the first probability, the second probability and the third probability sequentially correspond to a first column of matrix characters, a second column of matrix characters and a third column of matrix characters in the matrix model rearranged for the first time; and in the matrix model rearranged for the second time, matrix characters corresponding to the maximum probability in the first probability, the second probability and the third probability are arranged to the first column, and matrix characters corresponding to the minimum probability are arranged to the third column.
7. The smart identification warning message pushing method according to claim 6, wherein the step of determining the target matrix character corresponding to the warning message based on the transformed matrix model comprises:
and in the matrix model rearranged for the second time, acquiring the matrix characters of the first row and the first column as the target matrix characters.
8. The intelligent identification early warning message pushing method according to claim 1, wherein the classification result is a result corresponding to a classification with the highest probability; before the step of pushing the early warning message to the associated management device in real time through the communication device, the method comprises the following steps:
acquiring a preset encryption matrix; wherein the encryption matrix comprises a plurality of rows and columns of matrix characters;
obtaining target characters corresponding to the classification result; wherein, the database stores the mapping relation between the classification result and the characters; the target character consists of two characters, namely a first character and a second character;
removing matrix characters corresponding to the first character and the second character from the preset encryption matrix, and leaving corresponding first matrix gaps and second matrix gaps;
In the row where the first matrix empty space is located, shifting all matrix characters in front of the first matrix empty space backwards by one bit so as to leave a third matrix empty space in the first column of the row where the first matrix empty space is located; continuing to shift all matrix characters positioned above a third matrix empty position in a first column of the encryption matrix downwards by one bit, and adding the first characters to the position of the first column of the first row;
shifting all matrix characters behind the second matrix blank forward by one bit in the row where the second matrix blank is located, so as to leave a fourth matrix blank in the last column of the row where the second matrix blank is located; and continuing to translate all matrix characters positioned below the fourth matrix empty position in the last column of the encryption matrix upwards by one bit, and adding the second character to the position of the last column of the last row to obtain a target encryption matrix;
generating an encryption password based on the target encryption matrix; and encrypting the early warning message based on the encryption password.
9. The smart identification warning message pushing method as claimed in claim 8, wherein the step of generating an encryption password based on the target encryption matrix comprises:
Acquiring current time information; wherein the time information comprises an hour number mn and a minute number xy;
in the target encryption matrix, a first target character on an (m+1) th row in a first column is acquired, a second target character on an (n+1) th column in the first column is acquired, a third target character on an (x+1) th row in a last column is acquired, and a fourth target character on a (y+1) th column in the last column is acquired;
and according to a preset rule, the first target character, the second target character, the third target character and the fourth target character are formed into the encryption password.
10. An intelligent identification early warning message pushing device, which is characterized by comprising:
the acquisition unit is used for acquiring the position information and the service state information of the intelligent identifier through the communication equipment; the intelligent identifier is in wireless connection with the communication equipment;
the determining unit is used for determining the content of the early warning message according to the position information and the service state information of the intelligent identifier; classifying the early warning messages based on a preset early warning message classification model, and determining the classification result of the early warning messages;
the transformation unit is used for transforming a preset matrix model based on the classification result of the early warning message; determining a target matrix character corresponding to the early warning message based on the transformed matrix model; wherein the matrix model is a matrix composed of a plurality of matrix characters;
A pushing unit, configured to determine an associated management device based on the target matrix character; pushing the early warning message to the associated management equipment in real time through the communication equipment; the management device is used for receiving and processing the early warning message.
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