Complex event processing method, electronic device, storage medium, and vehicle

Abstract

The present invention relates to the field of data processing, and particularly provides a complex event processing method, an electronic device, a storage medium, and a vehicle, aiming to solve the technical problem in an existing complex event processing method of low processing efficiency. To achieve this objective, the complex event processing method of the present invention comprises: monitoring an original perception event; obtaining a complex event on the basis of the original perception event; matching the complex event with a preset rule in a rule base; and determining a processing result of the complex event on the basis of the matching result. In this way, any complex event can be processed based on the original perception event, thereby reducing the development cost, and improving the processing efficiency of the complex event.

Description

Complex event processing method, electronic device, storage medium and vehicle

[0001] This application claims priority to Chinese patent application CN202310709776.X filed on June 15, 2023, with the invention name “Complex event processing method, electronic device, storage medium and vehicle”. The entire contents of the above Chinese patent application are incorporated into this application by reference. Technical Field

[0002] The present invention relates to the field of data processing, and specifically provides a complex event processing method, electronic equipment, storage medium and vehicle. Background Art

[0003] Currently, events are a very important component of the KnowMe Engine. All KnowMe Engine stories are triggered by events. Some events are primitive perception events in the cockpit, such as the opening of the driver's door or the passenger door.

[0004] Complex event processing (CEP) is a key technique for extracting information. It's a data processing technique based on a set of predefined rules that dictate how a data stream should be processed and what new event streams should be generated as output. Events can be many independent events of interest or complex events that correspond to specific situations or patterns in the business.

[0005] However, existing complex event processing methods all rely on developers to develop code, perform performance testing, and verify products for each logically defined event based on product definition documents. The testing process is long and costly, resulting in low efficiency in complex event processing.

[0006] Accordingly, this field requires a new solution to solve the above problems.

[0007] Summary of the Invention

[0008] In order to overcome the above-mentioned drawbacks, the present invention is proposed to provide a solution or at least partially solve the above-mentioned technical problems. The present invention provides a complex event processing method, an electronic device, a storage medium and a vehicle.

[0009] In a first aspect, the present invention provides a complex event processing method, which includes: monitoring original perception events; obtaining complex events based on the original perception events; matching the complex events with preset rules in a rule library; and determining the processing results of the complex events based on the matching results.

[0010] In one embodiment, before monitoring the original perception event, the method further includes: obtaining preset rules; storing the preset rules in a rule library; wherein the preset rules include at least an event window, a start event, an end event, context information and perception judgment logic.

[0011] In one embodiment, the original perception event includes a first original perception event and a second original perception event, and the complex event includes a first combined event and a second combined event; obtaining the complex event based on the original perception event includes: filtering or combining the first original perception event to obtain the first combined event; within the event window, filtering or combining the second original perception event that occurs continuously to obtain the second combined event.

[0012] In one embodiment, matching the complex event with the preset rules in the rule base includes: when the first combined event is obtained, activating a non-deterministic state machine, obtaining a first state of the non-deterministic state machine, and matching the rule corresponding to the first combined event in the preset rules based on the first state; when the second combined event is obtained, obtaining a second state of the non-deterministic state machine, and matching the rule corresponding to the second combined event in the preset rules based on the second state.

[0013] In one embodiment, determining the processing result of the complex event based on the matching result includes: updating the context information based on the rules corresponding to the first combined event and the rules corresponding to the second combined event; and obtaining the processing result of the complex event based on the updated context information and the perception judgment logic in the rule base.

[0014] In one embodiment, the first combination event includes at least one of the main driver's door opening, the front passenger door opening, the rear left door opening, and the rear right door opening; the second combination event includes at least one of the main driver's door closing, the front passenger door closing, the rear left door closing, and the rear right door closing; the method also includes: when the first combination event is obtained, recording the number of people in the first car; when the second combination event is obtained, recording the number of people in the second car.

[0015] In one embodiment, determining the processing result of the complex event based on the matching result includes: updating the context information based on the rules corresponding to the first combined event, the rules corresponding to the second combined event, and the number of people in the first car and the second car; determining the number difference based on the updated context information; judging whether the number difference is greater than a preset threshold; if so, determining that the processing result of the complex event is a single person boarding the car; if not, determining that the processing result of the complex event is multiple people boarding the car.

[0016] In a second aspect, an electronic device is provided, comprising at least one processor and at least one storage device, wherein the storage device is suitable for storing a plurality of program codes, and the program codes are suitable for being loaded and run by the processor to execute any one of the complex event processing methods described above.

[0017] In a third aspect, a computer-readable storage medium is provided, wherein a plurality of program codes are stored in the computer-readable storage medium, wherein the program codes are suitable for being loaded and run by a processor to execute any one of the aforementioned complex event processing methods.

[0018] In a fourth aspect, a vehicle is provided, comprising a vehicle body, at least one processor and at least one storage device, wherein the storage device is suitable for storing multiple program codes, and is characterized in that the program code is suitable for being loaded and run by the processor to execute any of the complex event processing methods described above.

[0019] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0020] The complex event processing method of the present invention includes monitoring raw perception events; obtaining complex events based on the raw perception events; matching the complex events with pre-set rules in a rule library; and determining the processing result of the complex events based on the matching results. This enables processing of any complex event based on raw perception events, thereby expanding the event capability library of the "Understand Me" system, reducing development costs, and improving the efficiency of complex event processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The disclosure of the present invention will be more easily understood with reference to the accompanying drawings. Those skilled in the art will readily appreciate that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of the present invention. Furthermore, similar numbers in the drawings represent similar components, wherein:

[0022] FIG1 is a schematic flow chart of main steps of a complex event processing method according to an embodiment of the present invention;

[0023] FIG2 is a schematic diagram of a process for obtaining complex events based on original sensed events in one embodiment;

[0024] FIG3 is a schematic diagram of a process for matching complex events with preset rules in a rule base in one embodiment;

[0025] FIG4 is a schematic diagram of a process for determining a processing result of a complex event based on a matching result in one embodiment;

[0026] FIG5 is a schematic diagram of a complete process of complex event processing in one embodiment;

[0027] FIG6 is a schematic structural diagram of an electronic device in an embodiment. DETAILED DESCRIPTION

[0028] Some embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0029] In the description of the present invention, "module" and "processor" may include hardware, software, or a combination of both. A module may include hardware circuitry, various suitable sensors, communication ports, and memory. It may also include software components, such as program code, or a combination of software and hardware. A processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. A processor has data and / or signal processing capabilities. A processor may be implemented in software, hardware, or a combination of both. Non-transitory computer-readable storage media include any suitable medium capable of storing program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, and the like. The term "A and / or B" refers to all possible combinations of A and B, such as only A, only B, or both A and B. The terms "at least one of A or B" or "at least one of A and B" have similar meanings to "A and / or B" and may include only A, only B, or both A and B. The singular forms "one" and "the" may also include the plural forms.

[0030] Currently, traditional complex event processing methods are based on product definition documents by developers, and code development, performance testing, product verification, etc. are carried out for each logically defined event. The testing process is long and costly, resulting in low efficiency in complex event processing.

[0031] To this end, this application provides a complex event processing method, electronic device, storage medium, and vehicle, including monitoring raw sensory events; obtaining complex events based on the raw sensory events; matching the complex events with preset rules in a rule library; and determining the processing result of the complex event based on the matching results. In this way, any complex event can be processed based on the raw sensory events, thereby expanding the event capability library of the "understand me" system, reducing development costs, and improving the efficiency of complex event processing.

[0032] Please refer to FIG1 , which is a flowchart illustrating the main steps of a complex event processing method according to an embodiment of the present invention.

[0033] As shown in FIG1 , the complex event processing method in the embodiment of the present invention mainly includes the following steps S100 to S400 .

[0034] Step S100: monitoring original perception events.

[0035] Step S200: Acquire a complex event based on the original perception event.

[0036] Step S300: Match the complex event with the preset rules in the rule library.

[0037] Step S400: Determine the processing result of the complex event according to the matching result.

[0038] Based on steps S100 to S400, the process includes monitoring raw perception events; obtaining complex events based on the raw perception events; matching the complex events with pre-set rules in a rule library; and determining the processing result of the complex events based on the matching results. In this way, any complex event can be processed based on raw perception events, thereby expanding the event capability library of the "Understand Me" system, reducing development costs, and improving the efficiency of complex event processing.

[0039] In a specific embodiment, before monitoring the original perception event, the method further includes: obtaining preset rules; storing the preset rules in a rule library; wherein the preset rules include at least an event window, a start event, an end event, context information and perception judgment logic.

[0040] Specifically, the vehicle can include an "understand me engine" module, which builds an event engine. When it starts, the preset rules are registered with the event engine. The preset rules are described as follows: First, the event window (span) is defined as 60 seconds, indicating that the maximum duration of the event is 60 seconds; then the start event (begin), middle event (middle event, which may not be present), end event (end) and event triggering logic of the combined event are defined. Execution must be strictly in accordance with the timing of the start event, middle event, and end event. The above process can successfully implement the construction of complex events. Next, it is necessary to define how to throw events. In this step, the context variables (context information) that need to be calculated are first defined and stored. Finally, the ejected events (emits) are defined. Emitted events are the process of obtaining the processing results of complex events. Each ejected event needs to have perception judgment logic. Only after the perception judgment logic passes can the actual ejected event be obtained.

[0041] The number of people currently in the vehicle can be used as an example of the context information, but is not limited thereto.

[0042] The following rule can be used as an example of the preset rule, but is not limited thereto.

[0043] 1 span:60s

[0044] 2 begin:

[0045] 3 event:open_door

[0046] 4 context:start_number=context.getPersonNumber()

[0047] 5 end:

[0048] 6 event:close_all_door

[0049] 7 context:end_number=context.getPersonNumber()

[0050] 8 process:

[0051] 9 context:diff_number=end_number-start_number

[0052] 10 emits:

[0053] 11 -perception:diff_number==1

[0054] 12 event:single_person_boarding

[0055] 13 -perception:diff_number>1

[0056] 14 event:multi_person_boarding

[0057] Pre-load preset rules into the rule base to provide basic support for the rapid and efficient processing of each subsequent complex event.

[0058] The above steps S100 to S400 are further explained below.

[0059] The raw perception event is an unprocessed event generated from the cockpit system and is an atomic event that cannot be decomposed.

[0060] Regarding step S100, a raw event sensing module may sense a raw event in the cabin. In one embodiment, at least one of the following may be used as an example of a raw sensing event: the driver's door opening, the passenger door opening, the rear left door opening, the rear right door opening, the driver's door closing, the passenger door closing, the rear left door closing, or the rear right door closing.

[0061] The above is a further description of step S100 , and the following further describes step S200 .

[0062] The original perception events include a first original perception event and a second original perception event, and the types of the first original perception event and the second original perception event are different.

[0063] A complex event is an event that describes a series of events occurring according to pre-written preset rules. The complex event includes a first combination event and a second combination event.

[0064] Specifically as shown in FIG. 2 , the above step S200 can be implemented through the following steps S201 to S202 .

[0065] Step S201: Filter or combine the first original perception events to obtain the first combined events.

[0066] Specifically, one or more first original events are filtered or combined to obtain a first combined event. For example, a first original event may include any one of the following: driver's door opening, passenger door opening, rear left door opening, and rear right door opening. The combination of these original events constitutes the first combined event. Other invalid events during the vehicle door opening process may also be filtered.

[0067] Step S202: Within the event window, filtering or combining the second original perception events that occur continuously to obtain a second combined event.

[0068] Within the event window defined by the preset rules, continuously occurring second original events of a different type from the first original event are combined or filtered to obtain a second combined event. For example, the second original event may include any of the following: driver's door closing, passenger door closing, rear left door closing, and rear right door closing. The combination of these original events constitutes the second combined event. Other invalid events during the door closing process can also be filtered.

[0069] The above is a further description of step S200 , and the following further describes step S300 .

[0070] Specifically as shown in FIG. 3 , the above step S300 can be implemented through the following steps S301 to S302 .

[0071] Step S301: when the first combined event is obtained, activating a non-deterministic state machine, obtaining a first state of the non-deterministic state machine, and matching a rule corresponding to the first combined event in the preset rules based on the first state.

[0072] A nondeterministic finite automaton (NFA) is a finite state machine in which each state and input symbol pair can have multiple possible next states. Furthermore, NFAs can be used to implement the rule-matching logic configured for a complex event processing rule. Specifically, the rule-matching logic configured for a complex event processing rule can be parsed and compiled to obtain a series of state vertices and the edges that represent state transitions between these vertices. These vertices and edges can then be used to construct the NFA corresponding to the complex event processing rule.

[0073] Specifically, when the first combined event is obtained, the non-deterministic state machine NFA is activated, the first state of the non-deterministic state machine is set to start, and the rule corresponding to the first combined event in the preset rules is matched based on the first state.

[0074] For example, taking the door opening event as the first combination event, the rule corresponding to the first combination event in the preset rules may be a rule for obtaining the number of people currently in the car after the door is opened.

[0075] Step S302: When the second combined event is obtained, a second state of the non-deterministic state machine is obtained, and a rule corresponding to the second combined event in the preset rules is matched based on the second state.

[0076] Specifically, when the second combined event is obtained, the second state of the non-deterministic state machine is set to end, and a rule corresponding to the second combined event in the preset rules is matched based on the second state.

[0077] For example, taking the door closing event as the second combination event, the rule corresponding to the second combination event in the preset rules may be a rule for obtaining the number of people currently in the car after the door is closed.

[0078] The above is a further description of step S300 , and the following further describes step S400 .

[0079] In one embodiment, the first combination event includes at least one of the main driver's door opening, the front passenger door opening, the rear left door opening, and the rear right door opening; the second combination event includes at least one of the main driver's door closing, the front passenger door closing, the rear left door closing, and the rear right door closing; the method also includes: when the first combination event is obtained, recording the number of people in the first car; when the second combination event is obtained, recording the number of people in the second car.

[0080] Specifically, after the door opening event occurs, the number of people currently in the car (the first number of people in the car) is recorded, and after the door closing event occurs, the number of people currently in the car (the second number of people in the car) is recorded.

[0081] Specifically as shown in FIG. 4 , the above step S400 can be implemented through the following steps S401 to S402 .

[0082] Step S401: updating context information based on the rule corresponding to the first combined event and the rule corresponding to the second combined event.

[0083] Specifically, the context information is updated according to the rules corresponding to the first combined event and the rules corresponding to the second combined event in combination with the actual collected data.

[0084] Step S402: Obtaining a processing result of the complex event based on the updated context information and the perception judgment logic in the rule base.

[0085] Specifically, the following embodiment can be used as a specific example of the above step S400, but is not limited thereto.

[0086] In one embodiment, determining the processing result of the complex event based on the matching result includes: updating the context information based on the rules corresponding to the first combined event, the rules corresponding to the second combined event, and the number of people in the first car and the second car; determining the number difference based on the updated context information; judging whether the number difference is greater than a preset threshold; if so, determining that the processing result of the complex event is a single person boarding the car; if not, determining that the processing result of the complex event is multiple people boarding the car.

[0087] Specifically, the context variables are updated based on the recorded or collected number of people in the first car and the number of people in the second car, combined with the rules corresponding to the first combination event and the rules corresponding to the second combination event. For example, the number of people in the first car is assigned to the starting number, and the number of people in the second car is assigned to the ending number. The difference in the number of people is calculated based on the starting number and the ending number. Combined with the perception judgment logic in the rule base, it is determined whether the difference in the number of people is equal to 1 or greater than 1. If the difference in the number of people is equal to 1, it is determined that only one person is on the car. If the difference in the number of people is greater than 1, it is determined that multiple people are on the car.

[0088] An event engine is built within the Understand Me Engine module. Upon startup, preset rules (combined event list rules) are registered with the event engine. The event rules define the event window (span), start event (begin), intermediate event (middle), end event (end), perception judgment logic, and emission event (emitevent). Each combined event rule constructs a non-deterministic state machine (NFA). When a start event occurs, a rule's NFA is triggered and set to the initial state. If subsequent intermediate events occur, the current NFA queries for an edge corresponding to the current intermediate event and follows this edge to the next state. If an end event occurs within the current window duration, the NFA enters the end state and informs the event engine that an event match has occurred. At this point, the perception judgment logic is entered. Different perception judgments may emit different combined events. The Understand Me Engine then triggers the Understand Me story based on this combined event.

[0089] In a specific embodiment, as shown in FIG5 , after a door opening event occurs, the original door is first judged and opened, and uniformly mapped to a door opening event (open_door). At the same time, the number of people in the car (the starting number of people) is recorded. At this time, the NFA is activated, and the NFA state is set to start. The start rule is matched in the current NFA.

[0090] Within the event window (60s), if a single door closing event continues to occur, it will be mapped to an all-door closing event (close_all_door). At this time, the end rule will be matched in the current NFA, and the current number of people in the car (the end number) will be recorded.

[0091] After the current NFA matches the rule, it enters the process, updates the context variables in the rule, and calculates the difference between the end number of people and the start number of people.

[0092] Finally, the event emission logic is entered, and the logic is judged according to different perceptions. If the judgment is true, a specified event is thrown, such as whether one person or multiple people are boarding the bus.

[0093] It should be pointed out that although the various steps in the above embodiments are described in a specific order, those skilled in the art will understand that in order to achieve the effects of the present invention, different steps do not have to be performed in such an order. They can be performed simultaneously (in parallel) or in other orders. These changes are within the scope of protection of the present invention.

[0094] Those skilled in the art will appreciate that all or part of the processes in the method for implementing the above-mentioned embodiment of the present invention may also be accomplished by instructing the relevant hardware through a computer program. The computer program may be stored in a computer-readable storage medium. When the computer program is executed by a processor, it may implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable storage medium may include: any entity or device, medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal, and software distribution medium capable of carrying the computer program code. It should be noted that the content contained in the computer-readable storage medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0095] Furthermore, the present invention also provides an electronic device. In an electronic device embodiment according to the present invention, as shown in Figure 6, the electronic device includes at least one processor 61 and at least one storage device 62. The storage device 62 can be configured to store a program for executing the complex event processing method of the above-described method embodiment, and the processor 61 can be configured to execute the program in the storage device, which includes but is not limited to a program for executing the complex event processing method of the above-described method embodiment. For ease of explanation, only the portions relevant to the embodiment of the present invention are shown. For specific technical details not disclosed, please refer to the method section of the embodiment of the present invention.

[0096] In an embodiment of the present invention, the electronic device may be a control device device formed by various devices. In some possible implementations, the electronic device may include multiple storage devices and multiple processors. The program for executing the complex event processing method of the above method embodiment may be divided into multiple subroutines, and each subroutine may be loaded and run by a processor to execute different steps of the complex event processing method of the above method embodiment. Specifically, each subroutine may be stored in different storage devices, and each processor may be configured to execute the program in one or more storage devices to jointly implement the complex event processing method of the above method embodiment, that is, each processor executes different steps of the complex event processing method of the above method embodiment to jointly implement the complex event processing method of the above method embodiment.

[0097] The aforementioned multiple processors may be processors deployed on the same device. For example, the aforementioned electronic device may be a high-performance device composed of multiple processors, and the aforementioned multiple processors may be processors configured on the high-performance device. Furthermore, the aforementioned multiple processors may also be processors deployed on different devices. For example, the aforementioned electronic device may be a server cluster, and the aforementioned multiple processors may be processors on different servers in the server cluster.

[0098] Furthermore, the present invention also provides a computer-readable storage medium. In one embodiment of a computer-readable storage medium according to the present invention, the computer-readable storage medium can be configured to store a program for executing the complex event processing method of the above-mentioned method embodiment, and the program can be loaded and run by a processor to implement the above-mentioned complex event processing method. For ease of explanation, only the parts related to the embodiment of the present invention are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present invention. The computer-readable storage medium can be a storage device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiment of the present invention is a non-transitory computer-readable storage medium.

[0099] Furthermore, the present invention also provides a vehicle, which includes a vehicle body, at least one processor and at least one storage device, wherein the storage device is suitable for storing multiple program codes, and the program codes are suitable for being loaded and run by the processor to execute the complex event processing method of the aforementioned embodiment.

[0100] The technical solutions of the present invention have been described so far in conjunction with the preferred embodiments illustrated in the accompanying drawings. However, those skilled in the art will readily appreciate that the scope of protection of the present invention is not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent modifications or substitutions to the relevant technical features, and such modifications or substitutions will fall within the scope of protection of the present invention.

Claims

1. A complex event processing method, characterized in that: The method comprises: Listen for raw sensing events; Acquire complex events based on the original perception events; Matching the complex event with preset rules in a rule base; The processing result of the complex event is determined according to the matching result.

2. The complex event processing method according to claim 1, characterized in that: Before monitoring the original perception event, the method further includes: Get preset rules; Storing the preset rules in a rule base; The preset rules include at least an event window, a start event, an end event, context information and perception judgment logic.

3. The complex event processing method according to claim 1, characterized in that: The original perception event includes a first original perception event and a second original perception event, and the complex event includes a first combined event and a second combined event; The acquiring of a complex event based on the original sensed event comprises: filtering or combining the first original perception events to obtain the first combined events; Within the event window, the second original perception events that occur continuously are filtered or combined to obtain the second combined events.

4. The complex event processing method according to claim 3, characterized in that: The matching of the complex event with the preset rules in the rule base includes: In the case of obtaining the first combined event, activating a non-deterministic state machine, obtaining a first state of the non-deterministic state machine, and matching a rule corresponding to the first combined event in the preset rules based on the first state; In the case of obtaining the second combined event, obtaining the second state of the non-deterministic state machine, and matching the rule corresponding to the second combined event in the preset rule based on the second state. but.

5. The complex event processing method according to claim 4, characterized in that: Determining the processing result of the complex event according to the matching result includes: updating context information based on a rule corresponding to the first combined event and a rule corresponding to the second combined event; A processing result of the complex event is obtained based on the updated context information and the perception judgment logic in the rule base.

6. The complex event processing method according to claim 4, characterized in that: The first combination event includes at least one of the main driver's door opening, the front passenger door opening, the rear left door opening, and the rear right door opening; the second combination event includes at least one of the main driver's door closing, the front passenger door closing, the rear left door closing, and the rear right door closing; The method further comprises: When the first combination event is obtained, recording the number of people in the first car; When the second combined event is obtained, the number of people in the second vehicle is recorded.

7. The complex event processing method according to claim 6, characterized in that: Determining the processing result of the complex event according to the matching result includes: Update context information based on the rule corresponding to the first combined event, the rule corresponding to the second combined event, and the number of people in the first vehicle and the number of people in the second vehicle; determining a headcount difference based on the updated context information; Determine whether the difference in the number of people is greater than a preset threshold; If yes, then determine that the processing result of the complex event is a single person boarding the vehicle; If not, it is determined that the processing result of the complex event is that multiple people get on the bus.

8. An electronic device comprising at least one processor and at least one storage device, wherein the storage device is suitable for storing a plurality of program codes, wherein: The program code is suitable for being loaded and run by the processor to execute the complex event processing method according to any one of claims 1 to 7.

9. A computer-readable storage medium storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by a processor to execute the complex event processing method according to any one of claims 1 to 7.

10. A vehicle, characterized in that: The vehicle includes a vehicle body, at least one processor and at least one storage device, wherein the storage device is suitable for storing multiple program codes, and is characterized in that the program code is suitable for being loaded and run by the processor to execute the complex event processing method described in any one of claims 1 to 7.

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