WO2022213634A1

WO2022213634A1 - Customization and data processing method and apparatus for electronic fence, and device and medium

Info

Publication number: WO2022213634A1
Application number: PCT/CN2021/135408
Authority: WO
Inventors: 吴志雄; 伊龙展
Original assignee: 南威软件股份有限公司
Priority date: 2021-04-08
Filing date: 2021-12-03
Publication date: 2022-10-13
Also published as: CN113112869B; CN113112869A

Abstract

A customization and data processing method and apparatus for an electronic fence, and a device and a medium. The method comprises: a formulating process: accepting delimitation of an electronic fence range and setting of trigger rules; and a data processing process: receiving target data in real time, comprising positioning data, static attribute data, and dynamic attribute data, performing streaming computation processing on the received target data in real time, first determining, according to the electronic fence range, whether the positioning data is warning range data, and if yes, then determining, according to the trigger rules, whether the static attribute data and the dynamic attribute data are early warning data, if yes, converting the early warning data into asynchronous messages, sending same to an asynchronous message queue, and distributing the asynchronous messages according to a message sending rule.

Description

A method, device, equipment and medium for customization and data processing of electronic fence

technical field

The present invention relates to the field of computer technology, and in particular, to a method, device, device and medium for customization and data processing of electronic fences.

Background technique

In order to effectively solve the problem of fishing vessel safety supervision and improve marine disaster prevention and mitigation and emergency command and rescue capabilities, Fujian Ocean and Fishery Bureau has installed Beidou position indicator equipment for more than 15,000 ships in the province. Beidou position indicator is located through Beidou satellites. And the communication function realizes the precise positioning and data return of fishing boats at sea, and realizes real-time monitoring of fishing boat positioning.

In order to strengthen the restrictions on fishing boats crossing the border and illegal fishing, and to protect the safe and orderly operation of fishing boats, the competent fishery department has arranged for special personnel to be on duty 7*24 hours to respond to the movements and rescue of fishing boats at sea in a timely manner. Irregular behavior also brings difficulties and hidden dangers to supervision. It is urgent to make intelligent judgments and reminders for fishing boats entering designated areas and designated behaviors. While reminding the personnel on duty, they also remind the ships entering and leaving to reduce manual intervention. .

The physical electronic fence technology is expensive, difficult to construct on the sea surface, and the later maintenance cost is even more difficult to estimate. Relying on the high-precision positioning features of Beidou, combined with GIS geographic information technology, a virtual electronic fence is realized. The cost is low, and it can be created and removed anytime, anywhere. The scene of monitoring fishing boats at sea is very suitable, but on the other hand, traditional electronic fences are calculated by timed tasks, and there is a lag in early warning messages. Early warnings will be issued for fishing boats entering the fence range. A large number of invalid early warning information also consumes the energy of the on-duty personnel.

technical problem

To sum up, the problems existing in the existing technology are: (1) The traditional physical electronic fence is expensive and difficult to construct.

(2) The traditional virtual electronic fence processes data through timed triggering, resulting in a high instantaneous load on the server and a delay in the fence warning data.

(3) The traditional virtual electronic fence only supports the early warning of the target entering the fence range, and cannot filter the target behavior and characteristics further, and the flexibility is poor.

(4) The traditional virtual electronic fence data processing technology is immature and cannot effectively realize the expected function of the electronic fence.

Difficulty and significance of solving the above technical problems: Human marine activities are more and more extensive, but the sea is dangerous and windy, and there are few reference targets, which brings unknown risks to marine navigation. In order to reduce navigation risks and enhance the prompting of dangerous areas, customizable electronic fences can effectively To solve this problem, on the other hand, electronic fences can help administrators to strengthen the management and control of behaviors in the area, give early warning to behaviors such as pirated sand mining, cross-border fishing, and illegal fishing, crack down on illegal behaviors at sea, and improve the ability of sustainable marine development.

The invention improves the flexibility and real-time performance of the electronic fence through the existing information technology and means without increasing the investment of hardware equipment, and realizes the real-time calculation of the positioning and attribute behavior of the fishing boat by means of stream computing, so as to ensure that the warning conditions are met within the fence range. The early warning message can be triggered in real time, and the decoupling of message sending can be solved through the asynchronous message queue. When the existing service structure remains unchanged, this technology can calculate the positioning data and target affiliated attributes, and realize early warning according to the rules set by the user. , The project transformation is less intrusive, the transformation is simple, and the user experience is significantly improved.

technical solutions

The technical problem to be solved by the present invention is to provide a method, device, equipment and medium for customization and data processing of an electronic fence. First, the range and triggering warning mechanism of the electronic fence are formulated, and streaming real-time calculation is performed during data processing. This solves the problems of poor flexibility and trigger delay of traditional electronic fences.

In a first aspect, the present invention provides a method for customization and data processing of an electronic fence, including: a formulation process: accepting the delineation of the range of the electronic fence and the setting of triggering rules; a data processing process: receiving target data in real time, including Positioning data, static attribute data and dynamic attribute data, and perform streaming calculation processing on the received target data in real time, first determine whether the positioning data is warning range data according to the electronic fence range, and if so, then according to the trigger The rule determines whether the static attribute data and the dynamic attribute data are early warning data, and if so, converts the early warning data into asynchronous messages, sends them to the asynchronous message queue, and distributes them according to the message sending rules.

In a second aspect, the present invention provides an electronic fence customization and data processing device, including: a formulation module for accepting the delineation of the electronic fence range and the setting of triggering rules; a data processing module for receiving in real time The target data includes positioning data, static attribute data and dynamic attribute data, and real-time stream computing processing is performed on the received target data. First, it is judged whether the positioning data is the warning range data according to the electronic fence range. Determine whether the static attribute data and the dynamic attribute data are early warning data according to the triggering rule; the early warning module is used to convert the early warning data into asynchronous messages, send them to the asynchronous message queue, and distribute them according to the message sending rules.

In a third aspect, the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, the processor implementing the program described in the first aspect when the processor executes the program method.

In a fourth aspect, the present invention provides a computer-readable storage medium on which a computer program is stored, which implements the method described in the first aspect when the program is executed by a processor.

beneficial effect

One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages: the range of the electronic fence and the triggering rules of the present invention can be set in a targeted manner, thereby greatly satisfying the requirements of personalization and timeliness. Demand, real-time processing of the received target data through streaming computing, no need to load the data from the hard disk, no dependence on the back-end database, no dependence on the data type, which can reduce the consumption peaks and valleys caused by the server's regular processing of data, improve Service stability, reduce the cost of transformation, and improve the accuracy and real-time of early warning; in addition, each trigger rule is set to the filtering mode of the level-by-level filter, and the idea of filtering one by one according to the level-by-level judgment, and make full use of the existing It can reduce the calculation consumption caused by repeated judgments, and the efficiency is higher.

The above description is only an overview of the technical solutions of the present invention, in order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand , the following specific embodiments of the present invention are given.

Description of drawings

The present invention will be further described below with reference to the accompanying drawings and embodiments.

FIG. 1 is an architecture diagram of an overall system according to an embodiment of the present invention; FIG. 2 is a flowchart of a method in Embodiment 1 of the present invention; FIG. 3 is a schematic structural diagram of an apparatus in Embodiment 2 of the present invention; and FIG. 4 is Embodiment 3 of the present invention. Figure 5 is a schematic structural diagram of a medium in Embodiment 4 of the present invention.

Embodiments of the present invention

The embodiment of the present application provides a method for customizing and processing data of an electronic fence. First, the range and triggering warning mechanism of the electronic fence are formulated, and streaming real-time calculation is performed during data processing, so as to solve the problem of triggering delay and poor flexibility of traditional electronic fences. The problem.

The general idea of the technical solutions in the embodiments of the present application is as follows: the electronic fence range and triggering rules of the present invention can be set in a targeted manner. In addition to the positioning data of the target, the static attribute data and dynamic attribute data of the target are also considered. , so as to greatly meet the needs of personalization and timeliness, real-time processing of received target data through stream computing, and improve the accuracy and real-time performance of early warning, improve service stability, and reduce transformation costs; in addition, Multiple triggering rules are connected into triggering rule formulas through logical connectors, so that the logical relationship of each triggering rule is simple and clear. Data processing then decomposes the triggering rule formula into multiple filter conditions, so that each triggering rule is set as a filter by level. Filtering mode, judge layer by layer, filter one by one, and make full use of the existing judgment results, reduce the calculation consumption caused by repeated judgment, and be more efficient.

Before introducing the specific embodiments, first introduce the system framework corresponding to the method of the embodiment of the present application. As shown in FIG. 1, the overall system is roughly divided into the following parts: a position receiving and processing system, such as a Beidou position receiving and processing system or an AIS position Receiving and disposing systems, etc., are used to receive the position data of the target ship; the position fusion system is used to fuse the position data of the target ship sent by multiple position receiving and disposing systems to obtain the final position of the target ship; the fence disposal system , which is used to process the data of the target ship, including triggering rule decomposition, filtering the data step by step with filters to determine whether it is early warning data; converting the early warning data into asynchronous messages and sending them to the asynchronous message queue; message The disposal system is used to distribute the asynchronous message queue according to the message sending rules.

Embodiment 1, as shown in FIG. 2 , this embodiment provides a method for customization and data processing of an electronic fence, including: a formulation process: accepting the delineation of the range of the electronic fence and the setting of triggering rules; Delineate the geographic space range by inputting, importing or drawing. Data processing process: Receive target data in real time, including positioning data, static attribute data and dynamic attribute data, and perform stream computing processing on the received target data in real time. The electronic fence range judges whether the positioning data is warning range data, and if so, then judges whether the static attribute data and the dynamic attribute data are early warning data according to the triggering rule, and if so, convert the early warning data to asynchronous The message is sent to the asynchronous message queue and distributed according to the message sending rules.

Among them, as a better or more specific implementation manner of this embodiment: the triggering rule is a rule for judging static attributes or dynamic attributes by means of attribute judgment; the static attributes are inherent attributes of ships, It is given during manufacture or administrative approval and will not be changed by the subjective consciousness of the operators on board, including the basic attributes of the ship and the attributes of administrative approval; the dynamic attributes will change with the subjective consciousness of the operators on board, indirectly reflecting the operations on the ship The idea and purpose of the personnel, including course, speed, etc.; the attribute judgment methods include "greater than", "less than", "equal to", "greater than equal to", "less than or equal to", "inclusive" and "exclusive"; for example : The length of the ship is greater than 12; or for example: the course is equal to the east; among them, "length" is a static attribute, "heading" is a dynamic attribute, "greater than" and "equal to" are the judgment methods, and "12" and "due east" are restrictions condition.

The trigger rule corresponds to a trigger rule formula, and the trigger rule formula is obtained by connecting multiple filter conditions through logical connectors, and the logical connectors include "brackets", "and" and "or". For example: (The length of the ship is greater than 12 or the gross tonnage is greater than 100) and the speed is less than 2.

The judgment process of the early warning data is a process of step-by-step filtering, specifically: first, decompose the triggering rule formula according to the logical connector to obtain a plurality of filtering conditions and combined judgment conditions, and divide the plurality of all parameters according to the logical connector. The filter condition and the combination judgment condition are prioritized; when the target data is received, the target data is filtered by the priority order according to the filter condition and the combination judgment condition, and each level of filtering is A level of filtering results will be obtained; each time a level of filtering results is obtained, the filtering results of the current level will be added to the target data before entering the next level of filtering. Before each level of filtering, the existing level filtering in the data will be read first. As a result, if the necessary condition in the existing hierarchical filtering result is "No", the filtering of this level is skipped and the next level of filtering is directly entered; otherwise, the filtering of this level is performed first.

Decomposing the triggering rule formula is specifically: reading the logical connector in the triggering rule formula, the logical connector determines the level and filtering method of each filter condition, and follows the "bracket" priority, "and" "or" The latter principle, if it is "and", only one filter condition is required to fail, then jump directly to the end, if it is "or", only one filter condition is required, then jump to the end.

For example: Assuming that the trigger rule is (length is greater than 12 or gross tonnage is greater than 100) and the speed is less than 2, the judgment data is length: 11 (meters), tonnage: 80 (tons), speed: 2 (meters per second); the trigger rule will be It will be decomposed into four filter stages by the system, namely: ① the length of the ship is greater than 12 meters; ② the gross tonnage is greater than 100 tons; ③ the combined judgment filter "① or ②"; ④ and the speed is less than 2 meters per second.

Among them, ①②④ is the filter condition filter, and ③ is the combination judgment filter.

If the received target data is: captain: 11, tonnage: 90, speed: 1; after the first-level filtering, the first-level filtering result is obtained: No; then add the target data to the first-level filtering result and proceed to The second-level filtering, the second-level filtering result is obtained: if no, then the target data is added to the second-level filtering result, and the third-level and fourth-level filtering are performed in turn, until the final judgment result is "No", then This piece of data will not generate an early warning.

If the target data is changed to: captain: 13, tonnage: 100, speed: 3; after the first-level filtering, the first-level filtering result is obtained: yes, then the target data is added to the first-level filtering result, and the second step is performed. First-level filtering, after reading the first-level filtering result as "Yes" before performing the second-level filtering, skip the current-level filtering, directly enter the third-level filtering, and read the first-level filtering results before performing the third-level filtering. After it is "Yes", it also skips this level of filtering and directly enters the fourth level of filtering, and obtains the fourth-level filtering result: No, so the final judgment result is "No", and this piece of data will not generate an early warning.

Based on the same inventive concept, the present application also provides a device corresponding to the method in the first embodiment, and the details are in the second embodiment.

Embodiment 2, as shown in FIG. 3 , this embodiment provides an electronic fence customization and data processing device, including: a formulating module for accepting the delineation of the electronic fence range and the triggering rules. Setting; a data processing module, used to receive target data in real time, including positioning data, static attribute data and dynamic attribute data, and perform streaming computing processing on the received target data in real time, first determine the Whether the positioning data is warning range data, and if so, then judge whether the static attribute data and the dynamic attribute data are early warning data according to the triggering rule; the early warning module is used to convert the early warning data into asynchronous messages and send them to asynchronous messages Queue and distribute according to the message sending rules.

When the triggering rule includes multiple filter conditions, the respective filter conditions are connected by logical connectors to obtain the triggering rule formula, and the logical connectors include "brackets", "and" and "or". For example: (The length of the ship is greater than 12 or the gross tonnage is greater than 100) and the speed is less than 2.

The judgment of the early warning data is performed by a level-by-level filter, and the level-by-level filter is composed of a plurality of level filters, and each level filter corresponds to a filter condition or a combined judgment condition; The process of judging the data is as follows: first, decompose the triggering rule formula according to the logical connector to obtain a plurality of filter conditions and combined judgment conditions, and perform a plurality of the filtering conditions and the combined judgment conditions according to the logical connector. Priority sorting; when the target data is received, the target data is filtered by the priority sorting according to the filtering conditions and the combined judgment conditions, and each level of filtering will obtain a level of filtering results; When filtering results by level, first add the filtering results of the current level to the target data and then enter the next level of filtering. Before performing each level of filtering, read the existing level filtering results in the data. If the existing level filtering results are in the If the necessary condition is "No", skip this level of filtering and directly enter the next level of filtering, otherwise the current level of filtering will be performed first.

For example: Assuming that the trigger rule is (length is greater than 12 or gross tonnage is greater than 100) and the speed is less than 2, the judgment data is length: 11 (meters), tonnage: 80 (tons), speed: 2 (meters per second); the trigger rule will be It will be decomposed into four filter levels by the system, and each filter level corresponds to a level of filter, namely: ① the length of the ship is greater than 12 meters; ② the gross tonnage is greater than 100 tons; ③ the combined judgment filter "① or ②"; meters per second.

Among them, filter ①②④ is a filter condition filter, and filter ③ is a combination judgment filter.

If the received target data is: captain: 11, tonnage: 90, speed: 1; after passing through filter ①, the first-level filtering result is obtained: No, the filtering conditions are established; then add the first-level filtering to the target data After the result, after the filter ② and filter ② read that the first-level filtering result is "No", continue the current-level filtering to obtain the second-level filtering result: No, the filtering conditions are established, then add the target data to the first level. After the second-level filtering result, enter filter ③, and filter ③ reads the second-level filtering result as "No", continue the current-level filtering, and obtain the third-level filtering result: No, the filter condition is established, then add the target data to the target data. After going to the third-level filtering result, enter filter ④, and get the fourth-level filtering result: Yes; therefore, the final judgment result is "No", and this piece of data will not generate an early warning.

If the target data is changed to: captain: 13, tonnage: 100, speed: 1; then an early warning message will be generated, and after passing through filter ①, the first-level filtering result will be obtained: yes, then the target data will be added to the first-level filtering result After passing through filter ②, filter ② reads the first-level filtering result as "Yes", skips this level of filtering, and directly enters filter ③, after filter ③ reads the first-level filtering result as "Yes" , also skip this level of filtering, directly enter filter ④, and get the fourth-level filtering result: Yes, so the final judgment result is "Yes", and this piece of data will generate an early warning.

Since the device introduced in the second embodiment of the present invention is the device used to implement the method in the first embodiment of the present invention, based on the method introduced in the first embodiment of the present invention, those skilled in the art can understand the specific structure and deformation of the device. , so it is not repeated here. All devices used in the method of Embodiment 1 of the present invention belong to the scope of protection of the present invention.

Based on the same inventive concept, the present application provides an electronic device embodiment corresponding to the first embodiment. For details, refer to the third embodiment.

Embodiment 3, this embodiment provides an electronic device, as shown in FIG. 4 , including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it can realize Any implementation of the first embodiment.

Since the electronic device introduced in this embodiment is the device used to implement the method in the first embodiment of the present application, based on the method introduced in the first embodiment of the present application, those skilled in the art can understand the electronic device in this embodiment. The specific implementation manner and various modifications thereof, so how the electronic device implements the methods in the embodiments of the present application will not be described in detail here. As long as the devices used by those skilled in the art to implement the methods in the embodiments of the present application fall within the scope of the intended protection of the present application.

Based on the same inventive concept, the present application provides a storage medium corresponding to the first embodiment. For details, refer to the fourth embodiment.

Embodiment 4. This embodiment provides a computer-readable storage medium, as shown in FIG. 5 , on which a computer program is stored. When the computer program is executed by a processor, any one of the implementations in Embodiment 1 can be implemented.

The technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: the range of the electronic fence and the triggering rules of the present invention can be set in a targeted manner, thereby greatly satisfying the needs of personalization and timeliness, and for receiving The received target data is processed in real time through streaming computing, without the need to load the data from the hard disk, without relying on the back-end database or data type, which can reduce the consumption peaks and valleys caused by the server's regular data processing and improve service stability Reduce the cost of transformation, and improve the accuracy and real-time performance of early warning; in addition, each trigger rule is set to the filter mode of the filter step by step, according to the idea of layer by layer judgment, filter one by one, and make full use of the existing judgment results, The calculation consumption caused by repeated judgments is reduced, and the efficiency is higher.

As will be appreciated by those skilled in the art, embodiments of the present invention may be provided as a method, an apparatus or system, or a computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

Although the specific embodiments of the present invention have been described above, those skilled in the art should understand that the specific embodiments we describe are only illustrative, rather than used to limit the scope of the present invention. Equivalent modifications and changes made by a skilled person in accordance with the spirit of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

A method for customization and data processing of an electronic fence, comprising:

Formulation process: accept the delineation of the scope of the electronic fence and the setting of the triggering rules;

Data processing process: Receive target data in real time, including positioning data, static attribute data and dynamic attribute data, and perform stream computing processing on the received target data in real time, first determine whether the positioning data is an alert according to the range of the electronic fence Scope data, if yes, then judge whether the static attribute data and the dynamic attribute data are early warning data according to the triggering rule, if so, convert the early warning data into asynchronous messages, send them to the asynchronous message queue, and follow the message sending rules to distribute.
The method for customization and data processing of an electronic fence according to claim 1, wherein the triggering rule is a rule for judging static attributes or dynamic attributes by means of attribute judgment;

The static attributes are inherent attributes of the ship, which are given during shipbuilding or administrative approval, and are not changed by the subjective consciousness of the ship's operators, including basic ship attributes and administrative approval attributes;

The dynamic attributes will change with the subjective consciousness of the operators on the ship, and indirectly reflect the thoughts and purposes of the operators on the ship, including heading and speed;

The attribute judgment methods include "greater than", "less than", "equal to", "greater than or equal to", "less than or equal to", "includes" and "does not include";

The triggering rule corresponds to a triggering rule formula, and the triggering rule formula is obtained by connecting multiple filter conditions through logical connectors, and the logical connectors include "brackets", "and" and "or".
The customization and data processing method of an electronic fence according to claim 2, wherein the judgment process of the early warning data is a process of step-by-step filtering, specifically: first, according to the logical connector, the triggering rule formula Decompose to obtain multiple filter conditions and combined judgment conditions, and prioritize the multiple filter conditions and the combined judgment conditions according to logical connectors; when the target data is received, according to the filter conditions and the The combined judgment conditions are used to filter the target data level by level according to the priority order, and each level of filtering will obtain a level of filtering results; each time a level of filtering results is obtained, the filtering results of the current level are first added to the target data and then Enter the next level of filtering, and read the existing hierarchical filtering results in the data before performing each level of filtering. If the necessary condition in the existing hierarchical filtering results is "No", skip this level of filtering and go directly to the next level. First-level filtering, otherwise first-level filtering is performed.
The method for customization and data processing of an electronic fence according to claim 3, wherein: decomposing the triggering rule formula is specifically: reading a logical connector in the triggering rule formula, and the logical connector determines The level and filtering method of each filter condition follow the principle of "brackets" first, "and" and "or" second, if it is "and", only one filter condition fails, then jump directly to the end, if yes "Or", only one filter condition is needed, then jump to the end.
An electronic fence customization and data processing device, characterized in that it includes:

Formulate a module for accepting the delineation of the electronic fence range and the setting of triggering rules;

The data processing module is used to receive target data in real time, including positioning data, static attribute data and dynamic attribute data, and perform stream computing processing on the received target data in real time. First, determine whether the positioning data is based on the range of the electronic fence. is warning range data, if yes, then judge whether the static attribute data and the dynamic attribute data are early warning data according to the triggering rule;

The early warning module is used to convert the early warning data into asynchronous messages, send them to the asynchronous message queue, and distribute them according to the message sending rules.
The device for customization and data processing of an electronic fence according to claim 5, wherein the triggering rule is a rule for judging static attributes or dynamic attributes by means of attribute judgment;

The static attributes are inherent attributes of the ship, which are given during shipbuilding or administrative approval, and are not changed by the subjective consciousness of the ship's operators, including basic ship attributes and administrative approval attributes;

The dynamic attributes will change with the subjective consciousness of the operators on the ship, and indirectly reflect the thoughts and purposes of the operators on the ship, including heading and speed;

The attribute judgment methods include "greater than", "less than", "equal to", "greater than or equal to", "less than or equal to", "includes" and "does not include";

The triggering rule corresponds to a triggering rule formula, and the triggering rule formula is obtained by connecting multiple filter conditions through logical connectors, and the logical connectors include "brackets", "and" and "or".
The device for customization and data processing of an electronic fence according to claim 5, wherein the judgment of the early warning data is performed by a step-by-step filter, and the step-by-step filter is composed of a plurality of hierarchical filters, each Each level filter corresponds to a filter condition or a combination judgment condition;

The process of judging the early warning data by the step-by-step filter is specifically as follows: first, decompose the triggering rule formula according to the logical connector to obtain a plurality of filter conditions and combined judgment conditions, and filter the multiple The condition and the combination judgment condition are prioritized; when the target data is received, the target data is filtered by the priority order according to the filter condition and the combination judgment condition, and each level of filtering will get One-level filtering results; each time a level-one filtering result is obtained, the filtering results of the current level are added to the target data before entering the next level filtering, and the existing filtering results in the data are read before each level filtering. If the necessary condition in the existing hierarchical filtering result is "No", skip the filtering of this level and directly enter the filtering of the next level, otherwise, perform the filtering of this level first.
The electronic fence customization and data processing device according to claim 5, wherein: decomposing the triggering rule formula is specifically: reading the logical connector in the triggering rule formula, and the logical connector determines The level and filtering method of each filter condition follow the principle of "brackets" first, "and" and "or" second, if it is "and", only one filter condition fails, then jump directly to the end, if yes "Or", only one filter condition is needed, then jump to the end.
An electronic device, comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that, when the processor executes the program, the program as claimed in any one of claims 1 to 4 is implemented. method described.
A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.